From 5a988602182529826e5772ef477f98d993417e18 Mon Sep 17 00:00:00 2001 From: Isaac_Aracena Date: Sun, 16 Aug 2026 04:01:02 +0000 Subject: [PATCH] =?UTF-8?q?Update=20backup:=20Portal=20de=20Verificaci?= =?UTF-8?q?=C3=B3n=20de=20N=C3=B3mina=20-=20Guatemala?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- ...l-de-verificacion-de-nomina-guatemala.json | 1274 ++++++++++++----- 1 file changed, 954 insertions(+), 320 deletions(-) diff --git a/portal-de-verificacion-de-nomina-guatemala.json b/portal-de-verificacion-de-nomina-guatemala.json index baa3355..217ec25 100644 --- a/portal-de-verificacion-de-nomina-guatemala.json +++ b/portal-de-verificacion-de-nomina-guatemala.json @@ -1,5 +1,5 @@ { - "updatedAt": "2026-08-08T13:38:52.526Z", + "updatedAt": "2026-08-14T12:10:54.481Z", "createdAt": "2026-07-13T18:02:24.389Z", "id": "d3vXYr7ucbaiU5ct", "name": "Portal de Verificación de Nómina - Guatemala", @@ -17,10 +17,10 @@ "type": "n8n-nodes-base.webhook", "typeVersion": 2.1, "position": [ - 14768, - 25968 + 37840, + 54864 ], - "id": "bbb096bb-6f2c-48df-907c-06c9857943ac", + "id": "eef28c96-33ce-44b6-a235-13ed9a5d98f7", "name": "Webhook", "webhookId": "4061b0e1-0d8e-4fb4-bea8-790c718447ee" }, @@ -31,16 +31,16 @@ "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ - 14976, - 25968 + 38048, + 54864 ], - "id": "756188b6-dc61-4e3a-965a-47885e847e69", + "id": "86073e68-3202-4b19-b6c1-940e404ba547", "name": "Preparar entrada app" }, { "parameters": { "respondWith": "json", - "responseBody": "={{\n(() => {\n const data = $json || {};\n\n const original =\n data.originalResponse ||\n data.original_response ||\n data.response ||\n data.cruceResponse ||\n data.cruce_response ||\n data;\n\n const summary = original.summary || data.summary || {};\n const rows = original.rows || data.rows || [];\n const bankWithoutBamboo =\n original.bankWithoutBamboo ||\n data.bankWithoutBamboo ||\n [];\n const bambooSummary =\n original.bambooSummary ||\n data.bambooSummary ||\n {};\n\n const reportUrl =\n data.reportUrl ||\n data.report_url ||\n data.googleSheetUrl ||\n data.google_sheet_url ||\n data.spreadsheetUrl ||\n data.spreadsheet_url ||\n original.reportUrl ||\n original.report_url ||\n null;\n\n return {\n ok: original.ok ?? data.ok ?? true,\n message: reportUrl\n ? 'Cruce procesado correctamente. Google Sheet generado.'\n : 'Cruce procesado correctamente.',\n stage: reportUrl ? 'cruce_completado_con_reporte' : 'cruce_completado',\n errors: original.errors || data.errors || [],\n metadata: original.metadata || data.metadata || {},\n summary,\n rows,\n bankWithoutBamboo,\n bambooSummary,\n reportUrl,\n debug: {\n source_stage: data.stage || null,\n rows_returned:\n Array.isArray(rows) ? rows.length : 0,\n banco_sin_bamboo_rows:\n Array.isArray(bankWithoutBamboo)\n ? bankWithoutBamboo.length\n : 0,\n report_url_found: Boolean(reportUrl),\n },\n };\n})()\n}}", + "responseBody": "={{\n(() => {\n const data = $json || {};\n\n const original =\n data.originalResponse ||\n data.original_response ||\n data.response ||\n data.cruceResponse ||\n data.cruce_response ||\n data;\n\n const summary = original.summary || data.summary || {};\n const rows = original.rows || data.rows || [];\n const bankWithoutBamboo =\n original.bankWithoutBamboo ||\n data.bankWithoutBamboo ||\n [];\n const bambooSummary =\n original.bambooSummary ||\n data.bambooSummary ||\n {};\n\n const reportUrl =\n data.reportUrl ||\n data.report_url ||\n data.googleSheetUrl ||\n data.google_sheet_url ||\n data.spreadsheetUrl ||\n data.spreadsheet_url ||\n original.reportUrl ||\n original.report_url ||\n null;\n\n return {\n ok: original.ok ?? data.ok ?? true,\n message: original.message || data.message || (reportUrl\n ? 'Cruce procesado correctamente. Google Sheet generado.'\n : 'Cruce procesado correctamente.'),\n stage: reportUrl ? 'cruce_completado_con_reporte' : 'cruce_completado',\n errors: original.errors || data.errors || [],\n metadata: original.metadata || data.metadata || {},\n summary,\n rows,\n bankWithoutBamboo,\n bambooSummary,\n reportUrl,\n executionId: original.executionId || data.executionId || null,\n reportUpdated: original.reportUpdated ?? data.reportUpdated ?? false,\n reusingSheet: original.reusingSheet ?? data.reusingSheet ?? false,\n preservedResolutionsCount: Number(original.preservedResolutionsCount ?? data.preservedResolutionsCount ?? 0),\n clientRequestId: original.clientRequestId || data.clientRequestId || original.metadata?.client_request_id || data.metadata?.client_request_id || null,\n debug: {\n source_stage: data.stage || null,\n rows_returned:\n Array.isArray(rows) ? rows.length : 0,\n banco_sin_bamboo_rows:\n Array.isArray(bankWithoutBamboo)\n ? bankWithoutBamboo.length\n : 0,\n report_url_found: Boolean(reportUrl),\n },\n };\n})()\n}}", "options": { "responseCode": 200, "responseHeaders": { @@ -56,10 +56,10 @@ "type": "n8n-nodes-base.respondToWebhook", "typeVersion": 1.5, "position": [ - 25056, - 26528 + 49264, + 55248 ], - "id": "cfa673b1-08ba-41c0-b06c-15189672e1f2", + "id": "ab7db212-d84c-4697-8234-961172d1559c", "name": "Respond to Webhook" }, { @@ -69,10 +69,10 @@ "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ - 15648, - 25152 + 38720, + 54048 ], - "id": "65e7f1a9-ac7a-46b5-8f9d-6729c5c80a31", + "id": "580deff5-8074-48d1-8bbb-7f0668bc00cc", "name": "Parsear CSV banco GT" }, { @@ -84,23 +84,23 @@ "type": "n8n-nodes-base.merge", "typeVersion": 3.2, "position": [ - 21264, - 26512 + 44528, + 55408 ], - "id": "c47dde0f-72aa-49b6-b58b-f7051df5df62", + "id": "6aea105e-558c-447a-8585-b7a9258e108f", "name": "Merge" }, { "parameters": { - "jsCode": "const data = $input.first().json || {};\n\nfunction roundMoney(value) {\n return Math.round((Number(value) || 0) * 100) / 100;\n}\n\nfunction moneyDiff(a, b) {\n return roundMoney((Number(a) || 0) - (Number(b) || 0));\n}\n\nfunction moneyEquals(a, b, tolerance = 0.02) {\n return Math.abs(roundMoney(a) - roundMoney(b)) <= tolerance;\n}\n\nfunction normalizeAccount(value) {\n return String(value ?? '')\n .replace(/\\.0$/g, '')\n .replace(/\\D/g, '')\n .trim();\n}\n\nfunction normalizeName(value) {\n return String(value ?? '')\n .toLowerCase()\n .normalize('NFD')\n .replace(/[\\u0300-\\u036f]/g, '')\n .replace(/[^a-z0-9 ]/g, ' ')\n .replace(/\\s+/g, ' ')\n .trim();\n}\n\nfunction nameWords(value) {\n const ignored = new Set(['de', 'del', 'la', 'las', 'los', 'y', 'e', 'el']);\n return normalizeName(value)\n .split(' ')\n .filter((word) => word.length > 1 && !ignored.has(word));\n}\n\nfunction editDistance(a, b) {\n if (a === b) return 0;\n if (!a) return b.length;\n if (!b) return a.length;\n\n const previous = Array.from({ length: b.length + 1 }, (_, index) => index);\n\n for (let i = 1; i <= a.length; i++) {\n const current = [i];\n\n for (let j = 1; j <= b.length; j++) {\n const cost = a[i - 1] === b[j - 1] ? 0 : 1;\n\n current[j] = Math.min(\n current[j - 1] + 1,\n previous[j] + 1,\n previous[j - 1] + cost\n );\n }\n\n for (let j = 0; j < current.length; j++) {\n previous[j] = current[j];\n }\n }\n\n return previous[b.length];\n}\n\nfunction tokenMatches(a, b) {\n if (a === b) return true;\n\n const minLength = Math.min(a.length, b.length);\n\n if (minLength >= 8 && editDistance(a, b) <= 2) return true;\n if (minLength >= 5 && editDistance(a, b) <= 1) return true;\n\n return false;\n}\n\nfunction samePersonName(a, b) {\n const normalizedA = normalizeName(a);\n const normalizedB = normalizeName(b);\n\n if (!normalizedA || !normalizedB) return false;\n if (normalizedA === normalizedB) return true;\n\n const wordsA = nameWords(a);\n const wordsB = nameWords(b);\n\n if (!wordsA.length || !wordsB.length) return false;\n\n const usedB = new Set();\n let matches = 0;\n\n for (const wordA of wordsA) {\n const matchIndex = wordsB.findIndex((wordB, index) => {\n return !usedB.has(index) && tokenMatches(wordA, wordB);\n });\n\n if (matchIndex >= 0) {\n usedB.add(matchIndex);\n matches += 1;\n }\n }\n\n const smallerLength = Math.min(wordsA.length, wordsB.length);\n const ratio = matches / smallerLength;\n\n if (smallerLength <= 2) {\n return matches === smallerLength && matches >= 2;\n }\n\n return matches >= 2 && ratio >= 0.6;\n}\n\nfunction accountDistance(a, b) {\n return editDistance(normalizeAccount(a), normalizeAccount(b));\n}\n\nfunction accountRelationship(payrollAccount, bankAccount) {\n const payroll = normalizeAccount(payrollAccount);\n const bank = normalizeAccount(bankAccount);\n\n if (!payroll || !bank) {\n return { matches: false, type: 'none' };\n }\n\n if (payroll === bank) {\n return { matches: true, type: 'exact' };\n }\n\n const bankHasPayrollSuffix =\n bank.endsWith(payroll) &&\n bank.length > payroll.length &&\n bank.length - payroll.length <= 6;\n\n const payrollHasBankSuffix =\n payroll.endsWith(bank) &&\n payroll.length > bank.length &&\n payroll.length - bank.length <= 6;\n\n if (bankHasPayrollSuffix || payrollHasBankSuffix) {\n return { matches: true, type: 'reference_prefix' };\n }\n\n return { matches: false, type: 'none' };\n}\n\nfunction formatMoney(value) {\n return Math.abs(roundMoney(value)).toLocaleString('en-US', {\n minimumFractionDigits: 2,\n maximumFractionDigits: 2,\n });\n}\n\nfunction bankNames(bank) {\n return Array.from(new Set([\n ...(Array.isArray(bank.bank_name_files) ? bank.bank_name_files : []),\n ...(Array.isArray(bank.bank_account_holders) ? bank.bank_account_holders : []),\n bank.bank_name_file || '',\n bank.bank_account_holder || '',\n ].filter(Boolean)));\n}\n\nfunction bankMatchesName(bank, payrollName) {\n return bankNames(bank).some((name) => samePersonName(payrollName, name));\n}\n\nfunction bestBankDisplayName(bank) {\n return (\n bank.bank_name_file ||\n bank.bank_account_holder ||\n bankNames(bank)[0] ||\n ''\n );\n}\n\n\nfunction bambooAliases(employee) {\n return Array.from(new Set([\n ...(Array.isArray(employee.aliases) ? employee.aliases : []),\n employee.full_name || '',\n [\n employee.first_name,\n employee.middle_name,\n employee.last_name,\n ].filter(Boolean).join(' '),\n [\n employee.preferred_name,\n employee.last_name,\n ].filter(Boolean).join(' '),\n [\n employee.first_name,\n employee.last_name,\n ].filter(Boolean).join(' '),\n ].map((value) =>\n String(value || '').trim()\n ).filter(Boolean)));\n}\n\nfunction bambooEmployeeNumber(employee) {\n return normalizeAccount(\n employee.employee_number ||\n employee.employeeNumber ||\n ''\n );\n}\n\nfunction bankRowKey(row) {\n return [\n row.source_file || '',\n row.row_number || '',\n ].join('|');\n}\n\nfunction bankRowNames(row) {\n const rowKey = bankRowKey(row);\n\n const linkedPayrollNames =\n typeof linkedPayrollNamesByBankRow !== 'undefined'\n ? linkedPayrollNamesByBankRow.get(rowKey) || []\n : [];\n\n return Array.from(new Set([\n row.bank_name_file || '',\n row.bank_account_holder || '',\n row.participant_name || '',\n ...linkedPayrollNames,\n ].map((value) =>\n String(value || '').trim()\n ).filter(Boolean)));\n}\n\nfunction bankRowEmployeeNumbers(row) {\n const rowKey = bankRowKey(row);\n\n const linkedNumbers =\n typeof linkedPayrollNumbersByBankRow !== 'undefined'\n ? linkedPayrollNumbersByBankRow.get(rowKey) || []\n : [];\n\n return Array.from(new Set(\n linkedNumbers\n .map(normalizeAccount)\n .filter((value) => value.length >= 6)\n ));\n}\n\nfunction extractDigitSequences(value) {\n return Array.from(new Set(\n String(value || '')\n .match(/\\d{6,20}/g) || []\n )).map(normalizeAccount).filter(\n (value) => value.length >= 6\n );\n}\n\nfunction bankRowReferenceNumbers(row) {\n return Array.from(new Set([\n ...extractDigitSequences(row.reference),\n ...extractDigitSequences(row.concept),\n ...extractDigitSequences(row.addenda),\n ...extractDigitSequences(row.participant_id),\n ]));\n}\n\nfunction isClearlyNonEmployeePayment(row) {\n const normalized = normalizeName([\n row.concept || '',\n row.bank_name_file || '',\n row.bank_account_holder || '',\n ].join(' '));\n\n return [\n 'pension alimenticia',\n 'embargo judicial',\n 'retencion judicial',\n ].some((token) =>\n normalized.includes(normalizeName(token))\n );\n}\n\nfunction buildBambooSearchIndex(employees) {\n const records = [];\n const exactAliasSets = new Map();\n const tokenIndexSets = new Map();\n const employeeNumberSets = new Map();\n\n for (\n let employeeIndex = 0;\n employeeIndex < employees.length;\n employeeIndex++\n ) {\n const employee = employees[employeeIndex];\n const aliases = [];\n const seenAliases = new Set();\n\n for (const rawAlias of bambooAliases(employee)) {\n const normalized = normalizeName(rawAlias);\n\n if (\n !normalized ||\n seenAliases.has(normalized)\n ) {\n continue;\n }\n\n seenAliases.add(normalized);\n\n const words = Array.from(new Set(\n nameWords(normalized)\n ));\n\n if (!words.length) continue;\n\n const wordSet = new Set(words);\n\n aliases.push({\n raw: rawAlias,\n normalized,\n words,\n wordSet,\n });\n\n let exactSet =\n exactAliasSets.get(normalized);\n\n if (!exactSet) {\n exactSet = new Set();\n exactAliasSets.set(\n normalized,\n exactSet\n );\n }\n\n exactSet.add(employeeIndex);\n\n for (const token of words) {\n if (token.length < 3) continue;\n\n let tokenSet =\n tokenIndexSets.get(token);\n\n if (!tokenSet) {\n tokenSet = new Set();\n tokenIndexSets.set(\n token,\n tokenSet\n );\n }\n\n tokenSet.add(employeeIndex);\n }\n }\n\n const employeeNumber =\n bambooEmployeeNumber(employee);\n\n if (employeeNumber.length >= 6) {\n let numberSet =\n employeeNumberSets.get(\n employeeNumber\n );\n\n if (!numberSet) {\n numberSet = new Set();\n employeeNumberSets.set(\n employeeNumber,\n numberSet\n );\n }\n\n numberSet.add(employeeIndex);\n }\n\n records.push({\n employee,\n aliases,\n employeeNumber,\n });\n }\n\n const exactAliasMap = new Map();\n const tokenIndex = new Map();\n const employeeNumberMap = new Map();\n\n for (const [key, value] of exactAliasSets) {\n exactAliasMap.set(\n key,\n Array.from(value)\n );\n }\n\n for (const [key, value] of tokenIndexSets) {\n tokenIndex.set(\n key,\n Array.from(value)\n );\n }\n\n for (\n const [key, value] of\n employeeNumberSets\n ) {\n employeeNumberMap.set(\n key,\n Array.from(value)\n );\n }\n\n return {\n records,\n exactAliasMap,\n tokenIndex,\n employeeNumberMap,\n };\n}\n\nfunction aliasMatchDetails(\n queryName,\n alias\n) {\n const queryNormalized =\n normalizeName(queryName);\n\n if (!queryNormalized) return null;\n\n if (\n queryNormalized === alias.normalized\n ) {\n return {\n score: 1,\n exact: true,\n containment: true,\n matchedTokens:\n alias.words.length,\n exactMatches:\n alias.words.length,\n fuzzyMatches: 0,\n queryCoverage: 1,\n aliasCoverage: 1,\n };\n }\n\n const queryWords = Array.from(\n new Set(nameWords(queryNormalized))\n );\n\n if (\n queryWords.length < 2 ||\n alias.words.length < 2\n ) {\n return null;\n }\n\n const querySet = new Set(queryWords);\n\n let exactMatches = 0;\n\n for (const queryWord of queryWords) {\n if (alias.wordSet.has(queryWord)) {\n exactMatches += 1;\n }\n }\n\n const queryInsideAlias =\n exactMatches === queryWords.length;\n\n let aliasWordsInsideQuery = 0;\n\n for (const aliasWord of alias.words) {\n if (querySet.has(aliasWord)) {\n aliasWordsInsideQuery += 1;\n }\n }\n\n const aliasInsideQuery =\n aliasWordsInsideQuery ===\n alias.words.length;\n\n if (\n queryInsideAlias ||\n aliasInsideQuery\n ) {\n const shorterLength = Math.min(\n queryWords.length,\n alias.words.length\n );\n const longerLength = Math.max(\n queryWords.length,\n alias.words.length\n );\n\n return {\n score:\n 0.90 +\n (\n shorterLength /\n Math.max(1, longerLength)\n ) * 0.09,\n exact: false,\n containment: true,\n matchedTokens: exactMatches,\n exactMatches,\n fuzzyMatches: 0,\n queryCoverage:\n exactMatches / queryWords.length,\n aliasCoverage:\n aliasWordsInsideQuery /\n alias.words.length,\n };\n }\n\n if (exactMatches < 2) {\n return null;\n }\n\n const usedAliasWords = new Set();\n let fuzzyMatches = 0;\n\n for (let queryIndex = 0;\n queryIndex < queryWords.length;\n queryIndex++\n ) {\n const queryWord =\n queryWords[queryIndex];\n\n if (alias.wordSet.has(queryWord)) {\n continue;\n }\n\n const aliasIndex =\n alias.words.findIndex(\n (aliasWord, currentIndex) =>\n !usedAliasWords.has(\n currentIndex\n ) &&\n !querySet.has(aliasWord) &&\n tokenMatches(\n queryWord,\n aliasWord\n )\n );\n\n if (aliasIndex >= 0) {\n usedAliasWords.add(aliasIndex);\n fuzzyMatches += 1;\n }\n }\n\n const matchedTokens =\n exactMatches + fuzzyMatches;\n\n if (\n fuzzyMatches > 1 ||\n matchedTokens < 3\n ) {\n return null;\n }\n\n const queryCoverage =\n matchedTokens / queryWords.length;\n\n const aliasCoverage =\n matchedTokens / alias.words.length;\n\n if (\n queryCoverage < 0.67 ||\n aliasCoverage < 0.60\n ) {\n return null;\n }\n\n return {\n score:\n queryCoverage * 0.48 +\n aliasCoverage * 0.32 +\n (\n exactMatches /\n matchedTokens\n ) * 0.20,\n exact: false,\n containment: false,\n matchedTokens,\n exactMatches,\n fuzzyMatches,\n queryCoverage,\n aliasCoverage,\n };\n}\n\nfunction candidateIndexesForName(\n normalizedName\n) {\n const tokens = Array.from(\n new Set(nameWords(normalizedName))\n ).filter((token) =>\n token.length >= 3\n );\n\n const votes = new Map();\n\n for (const token of tokens) {\n const indexes =\n bambooSearch.tokenIndex.get(token) || [];\n\n /*\n * Los tokens muy comunes no aportan suficiente identidad.\n * Ignorarlos evita cientos de candidatos y mantiene el nodo rápido.\n */\n if (indexes.length > 240) continue;\n\n for (const index of indexes) {\n votes.set(\n index,\n (votes.get(index) || 0) + 1\n );\n }\n }\n\n return Array.from(votes.entries())\n .filter(([, voteCount]) =>\n voteCount >= 2 ||\n (\n tokens.length === 2 &&\n voteCount === 2\n )\n )\n .sort((left, right) =>\n right[1] - left[1]\n )\n .slice(0, 90)\n .map(([index]) => index);\n}\n\nconst bambooMatchCache = new Map();\n\nfunction findBambooMatch(bankRow) {\n const names = bankRowNames(bankRow)\n .map((raw) => ({\n raw,\n normalized:\n normalizeName(raw),\n tokenCount:\n nameWords(raw).length,\n }))\n .filter((entry) =>\n entry.normalized &&\n entry.tokenCount >= 2\n )\n .sort((left, right) =>\n right.tokenCount -\n left.tokenCount\n );\n\n const directEmployeeNumbers =\n bankRowEmployeeNumbers(bankRow);\n\n const referenceNumbers =\n bankRowReferenceNumbers(bankRow);\n\n const cacheKey = [\n ...directEmployeeNumbers\n .slice()\n .sort(),\n ...referenceNumbers\n .slice()\n .sort(),\n ...names\n .map((entry) =>\n entry.normalized\n )\n .sort(),\n ].join('|');\n\n if (bambooMatchCache.has(cacheKey)) {\n return bambooMatchCache.get(\n cacheKey\n );\n }\n\n const numberCandidates = new Set();\n\n for (const employeeNumber of [\n ...directEmployeeNumbers,\n ...referenceNumbers,\n ]) {\n for (\n const index of\n bambooSearch.employeeNumberMap\n .get(employeeNumber) || []\n ) {\n numberCandidates.add(index);\n }\n }\n\n if (numberCandidates.size === 1) {\n const index =\n numberCandidates.values()\n .next().value;\n\n const result = {\n found: true,\n matched_by:\n directEmployeeNumbers.length\n ? 'employee_number_payroll'\n : 'employee_number_reference',\n confidence: 1,\n employee:\n bambooSearch.records[index]\n .employee,\n };\n\n bambooMatchCache.set(\n cacheKey,\n result\n );\n\n return result;\n }\n\n\n /*\n * Consulta primero la resolución calculada una sola vez en el\n * normalizador. Esto evita repetir búsquedas aproximadas por cada fila\n * bancaria y mantiene el task runner estable incluso con miles de\n * empleados en BambooHR.\n */\n const precomputedNameMatches =\n data.bamboo?.resolved_name_matches ||\n {};\n\n const precomputedNameEntries =\n names.map((entry) => {\n const raw =\n typeof entry === 'string'\n ? entry\n : entry?.raw || '';\n\n return {\n raw,\n normalized:\n typeof entry === 'string'\n ? normalizeName(entry)\n : (\n entry?.normalized ||\n normalizeName(raw)\n ),\n token_count:\n typeof entry === 'string'\n ? nameWords(entry).length\n : (\n entry?.tokenCount ||\n nameWords(raw).length\n ),\n };\n }).filter((entry) =>\n entry.normalized\n );\n\n const precomputedFoundByEmployee =\n new Map();\n\n function resolutionEmployeeKey(\n employee\n ) {\n return (\n String(\n employee?.bamboo_id ||\n ''\n ).trim() ||\n normalizeAccount(\n employee?.employee_number ||\n employee?.employeeNumber ||\n ''\n ) ||\n normalizeName(\n employee?.full_name ||\n employee?.displayName ||\n ''\n )\n );\n }\n\n for (\n const nameEntry of\n precomputedNameEntries\n ) {\n const decision =\n precomputedNameMatches[\n nameEntry.normalized\n ];\n\n if (\n !decision ||\n decision.found !== true\n ) {\n continue;\n }\n\n let employee =\n Number.isInteger(\n decision.employee_index\n )\n ? bambooEmployees[\n decision.employee_index\n ]\n : null;\n\n const expectedKey =\n String(\n decision.employee_key ||\n ''\n ).trim();\n\n if (\n !employee ||\n (\n expectedKey &&\n resolutionEmployeeKey(\n employee\n ) !== expectedKey\n )\n ) {\n employee =\n bambooEmployees.find(\n (candidate) =>\n resolutionEmployeeKey(\n candidate\n ) === expectedKey\n ) || null;\n }\n\n if (!employee) continue;\n\n const employeeKey =\n resolutionEmployeeKey(employee);\n\n const candidate = {\n employee,\n employee_key:\n employeeKey,\n confidence:\n Number(\n decision.confidence || 0\n ),\n matched_by:\n decision.matched_by ||\n 'precomputed_name',\n bank_name:\n nameEntry.raw,\n bamboo_alias:\n decision.bamboo_alias ||\n employee.full_name ||\n '',\n informativeness:\n nameEntry.token_count,\n };\n\n const existing =\n precomputedFoundByEmployee\n .get(employeeKey);\n\n if (\n !existing ||\n candidate.confidence >\n existing.confidence ||\n (\n candidate.confidence ===\n existing.confidence &&\n candidate.informativeness >\n existing.informativeness\n )\n ) {\n precomputedFoundByEmployee.set(\n employeeKey,\n candidate\n );\n }\n }\n\n const precomputedRanked =\n Array.from(\n precomputedFoundByEmployee\n .values()\n ).sort((left, right) => {\n if (\n right.confidence !==\n left.confidence\n ) {\n return (\n right.confidence -\n left.confidence\n );\n }\n\n return (\n right.informativeness -\n left.informativeness\n );\n });\n\n if (precomputedRanked.length === 1) {\n const best =\n precomputedRanked[0];\n\n const result = {\n found: true,\n matched_by:\n best.matched_by,\n confidence:\n best.confidence,\n employee:\n best.employee,\n bank_name:\n best.bank_name,\n bamboo_alias:\n best.bamboo_alias,\n };\n\n bambooMatchCache.set(\n cacheKey,\n result\n );\n\n return result;\n }\n\n if (\n precomputedRanked.length > 1\n ) {\n const best =\n precomputedRanked[0];\n\n const second =\n precomputedRanked[1];\n\n if (\n best.confidence -\n second.confidence >= 0.08\n ) {\n const result = {\n found: true,\n matched_by:\n best.matched_by,\n confidence:\n best.confidence,\n employee:\n best.employee,\n bank_name:\n best.bank_name,\n bamboo_alias:\n best.bamboo_alias,\n };\n\n bambooMatchCache.set(\n cacheKey,\n result\n );\n\n return result;\n }\n\n const result = {\n found: false,\n matched_by: null,\n confidence:\n best.confidence,\n employee: null,\n ambiguous: true,\n reason:\n 'conflicting_precomputed_name_matches',\n best_candidate: {\n employee:\n best.employee,\n score:\n best.confidence,\n bank_name:\n best.bank_name,\n bamboo_alias:\n best.bamboo_alias,\n },\n };\n\n bambooMatchCache.set(\n cacheKey,\n result\n );\n\n return result;\n }\n\n\n /*\n * Primero se intenta una coincidencia textual exacta.\n * Se acepta solamente cuando todos los alias exactos apuntan\n * al mismo empleado.\n */\n const exactIndexes = new Set();\n\n for (const name of names) {\n for (\n const index of\n bambooSearch.exactAliasMap\n .get(name.normalized) || []\n ) {\n exactIndexes.add(index);\n }\n }\n\n if (exactIndexes.size === 1) {\n const index =\n exactIndexes.values()\n .next().value;\n\n const result = {\n found: true,\n matched_by: 'exact_name',\n confidence: 1,\n employee:\n bambooSearch.records[index]\n .employee,\n bank_name:\n names[0]?.raw || '',\n bamboo_alias:\n bambooSearch.records[index]\n .aliases[0]?.raw || '',\n };\n\n bambooMatchCache.set(\n cacheKey,\n result\n );\n\n return result;\n }\n\n const candidatesByEmployee =\n new Map();\n\n /*\n * La búsqueda ya no recorre todos los empleados.\n * Cada nombre consulta el índice invertido y solo compara\n * un máximo de 90 candidatos que comparten al menos dos palabras.\n */\n for (const name of names) {\n const candidateIndexes =\n candidateIndexesForName(\n name.normalized\n );\n\n for (const index of candidateIndexes) {\n const record =\n bambooSearch.records[index];\n\n let bestAliasMatch = null;\n let bestAlias = '';\n\n for (const alias of record.aliases) {\n const details =\n aliasMatchDetails(\n name.raw,\n alias\n );\n\n if (\n details &&\n (\n !bestAliasMatch ||\n details.score >\n bestAliasMatch.score\n )\n ) {\n bestAliasMatch = details;\n bestAlias = alias.raw;\n }\n }\n\n if (!bestAliasMatch) continue;\n\n const existing =\n candidatesByEmployee.get(index);\n\n const candidate = {\n index,\n employee: record.employee,\n score: bestAliasMatch.score,\n details: bestAliasMatch,\n bank_name: name.raw,\n bamboo_alias: bestAlias,\n informativeness:\n name.tokenCount,\n };\n\n if (\n !existing ||\n candidate.score >\n existing.score ||\n (\n candidate.score ===\n existing.score &&\n candidate.informativeness >\n existing.informativeness\n )\n ) {\n candidatesByEmployee.set(\n index,\n candidate\n );\n }\n }\n }\n\n const rankedCandidates =\n Array.from(\n candidatesByEmployee.values()\n ).sort((left, right) => {\n if (right.score !== left.score) {\n return right.score - left.score;\n }\n\n if (\n right.details.exactMatches !==\n left.details.exactMatches\n ) {\n return (\n right.details.exactMatches -\n left.details.exactMatches\n );\n }\n\n return (\n right.informativeness -\n left.informativeness\n );\n });\n\n const best =\n rankedCandidates[0] || null;\n\n const second =\n rankedCandidates[1] || null;\n\n const margin =\n best\n ? best.score -\n (second?.score || 0)\n : 0;\n\n const strongContainment =\n Boolean(\n best?.details?.containment &&\n best.details.exactMatches >= 2 &&\n (\n !second ||\n margin >= 0.035 ||\n best.details.exactMatches >\n second.details.exactMatches\n )\n );\n\n const strongPartial =\n Boolean(\n best &&\n !best.details.containment &&\n best.score >= 0.82 &&\n best.details.exactMatches >= 2 &&\n (\n !second ||\n margin >= 0.07\n )\n );\n\n let result;\n\n if (\n best &&\n (\n strongContainment ||\n strongPartial\n )\n ) {\n result = {\n found: true,\n matched_by:\n strongContainment\n ? 'unique_token_containment'\n : 'strong_indexed_name',\n confidence:\n Math.min(1, best.score),\n employee: best.employee,\n bank_name: best.bank_name,\n bamboo_alias:\n best.bamboo_alias,\n };\n } else {\n result = {\n found: false,\n matched_by: null,\n confidence:\n best?.score || 0,\n employee: null,\n ambiguous: Boolean(\n best &&\n second &&\n best.score >= 0.75 &&\n margin < 0.07\n ),\n best_candidate:\n best\n ? {\n employee:\n best.employee,\n score:\n best.score,\n bank_name:\n best.bank_name,\n bamboo_alias:\n best.bamboo_alias,\n }\n : null,\n };\n }\n\n bambooMatchCache.set(\n cacheKey,\n result\n );\n\n return result;\n}\n\nfunction supplementKey(supplement) {\n return [\n supplement.source_sheet || '',\n supplement.row_number || '',\n supplement.supplement_id || '',\n supplement.account || '',\n supplement.payroll_amount || 0,\n ].join('|');\n}\n\nconst payrollAccounts = (data.payroll?.grouped_by_account || [])\n .map((row) => ({\n ...row,\n group_key:\n row.group_key ||\n `${normalizeAccount(row.account)}:${row.currency || 'QTZ'}`,\n account: normalizeAccount(row.account),\n employee_name: row.employee_name || row.employee || '',\n employee_number: row.employee_number || row.employeeNumber || '',\n currency: row.currency || 'QTZ',\n payroll_amount: roundMoney(row.payroll_amount || row.payrollAmount),\n source_rows: Array.isArray(row.source_rows) ? [...row.source_rows] : [],\n source_sheets: Array.isArray(row.source_sheets)\n ? [...row.source_sheets]\n : [],\n }))\n .filter((row) => row.account && row.payroll_amount > 0);\n\nconst payrollNoAccountRows = (data.payroll?.no_account_rows || [])\n .map((row) => ({\n ...row,\n account: '',\n employee_name: row.employee_name || row.employee || '',\n employee_number: row.employee_number || row.employeeNumber || '',\n currency: row.currency || 'QTZ',\n payroll_amount: roundMoney(row.payroll_amount || row.payrollAmount),\n }))\n .filter((row) => row.payroll_amount > 0);\n\nconst bankAccounts = (data.bank?.grouped_by_account || [])\n .map((row) => ({\n ...row,\n group_key:\n row.group_key ||\n `ACCOUNT:${normalizeAccount(row.account)}:${row.currency || 'QTZ'}`,\n account: normalizeAccount(row.account),\n account_is_valid: Boolean(row.account_is_valid),\n currency: row.currency || 'QTZ',\n amount: roundMoney(row.amount || row.bank_amount || row.bankAmount),\n source_rows: Array.isArray(row.source_rows) ? [...row.source_rows] : [],\n }))\n .filter((row) => row.amount > 0);\n\nconst bambooEmployees = Array.isArray(data.bamboo?.employees)\n ? data.bamboo.employees\n : [];\n\nconst bambooValidationAvailable =\n data.bamboo?.fetch_complete === true &&\n data.bamboo?.validation_available === true &&\n bambooEmployees.length > 0;\n\nconst bambooValidationWarning =\n bambooValidationAvailable\n ? null\n : (\n data.errors?.find((error) =>\n String(error || '').toLowerCase().includes('bamboohr')\n ) ||\n 'La validación Banco sin Bamboo no estuvo disponible porque la descarga de empleados de BambooHR quedó incompleta.'\n );\n\nconst bambooSearch = buildBambooSearchIndex(\n bambooEmployees\n);\n\nconst bankDetailRows = Array.isArray(data.bank?.rows)\n ? data.bank.rows\n : [];\n\nconst potentialSupplements = (\n data.payroll?.potential_supplements ||\n data.debug_payroll?.potential_supplements ||\n data.debug_payroll?.attached_supplements ||\n []\n)\n .map((row) => ({\n ...row,\n account: normalizeAccount(row.account),\n currency: row.currency || 'QTZ',\n payroll_amount: roundMoney(row.payroll_amount || row.payrollAmount),\n }))\n .filter((row) => {\n const id = normalizeName(row.supplement_id || '');\n\n return (\n row.account &&\n row.payroll_amount >= 10 &&\n !id.includes('back up')\n );\n });\n\nconst supplementsByAccountCurrency = new Map();\n\nfor (const supplement of potentialSupplements) {\n const key = `${supplement.account}:${supplement.currency}`;\n const current = supplementsByAccountCurrency.get(key) || [];\n\n current.push(supplement);\n supplementsByAccountCurrency.set(key, current);\n}\n\nfunction chooseConditionalSupplements(payroll, bank) {\n const baseAmount = roundMoney(payroll.payroll_amount);\n const bankAmount = roundMoney(bank.amount);\n const candidates =\n supplementsByAccountCurrency.get(\n `${payroll.account}:${payroll.currency}`\n ) || [];\n\n if (\n !candidates.length ||\n bankAmount <= baseAmount + 0.02\n ) {\n return {\n selected: [],\n effectiveAmount: baseAmount,\n baseAmount,\n improvement: 0,\n };\n }\n\n const baseDifference = Math.abs(baseAmount - bankAmount);\n let bestSelected = [];\n let bestAmount = baseAmount;\n let bestDifference = baseDifference;\n\n if (candidates.length <= 12) {\n const combinations = 1 << candidates.length;\n\n for (let mask = 1; mask < combinations; mask++) {\n const selected = [];\n let selectedTotal = 0;\n\n for (let index = 0; index < candidates.length; index++) {\n if ((mask & (1 << index)) !== 0) {\n selected.push(candidates[index]);\n selectedTotal = roundMoney(\n selectedTotal + candidates[index].payroll_amount\n );\n }\n }\n\n const candidateAmount = roundMoney(baseAmount + selectedTotal);\n const candidateDifference = Math.abs(\n candidateAmount - bankAmount\n );\n\n if (candidateDifference < bestDifference) {\n bestSelected = selected;\n bestAmount = candidateAmount;\n bestDifference = candidateDifference;\n }\n }\n } else {\n const sorted = [...candidates].sort(\n (a, b) => b.payroll_amount - a.payroll_amount\n );\n\n let runningAmount = baseAmount;\n const selected = [];\n\n for (const candidate of sorted) {\n const nextAmount = roundMoney(\n runningAmount + candidate.payroll_amount\n );\n\n if (\n Math.abs(nextAmount - bankAmount) <\n Math.abs(runningAmount - bankAmount)\n ) {\n selected.push(candidate);\n runningAmount = nextAmount;\n }\n }\n\n bestSelected = selected;\n bestAmount = runningAmount;\n bestDifference = Math.abs(bestAmount - bankAmount);\n }\n\n const improvement = roundMoney(\n baseDifference - bestDifference\n );\n\n // Evita sumar valores accidentales o inmateriales, como un \"Asignado\" de Q1.\n if (!bestSelected.length || improvement < 5) {\n return {\n selected: [],\n effectiveAmount: baseAmount,\n baseAmount,\n improvement: 0,\n };\n }\n\n return {\n selected: bestSelected,\n effectiveAmount: roundMoney(bestAmount),\n baseAmount,\n improvement,\n };\n}\n\nfunction getDirectCandidates(payroll, matchedBankKeys) {\n return bankAccounts\n .filter((bank) => {\n if (matchedBankKeys.has(bank.group_key)) return false;\n if (bank.currency !== payroll.currency) return false;\n\n const relationship = accountRelationship(\n payroll.account,\n bank.account\n );\n\n if (!relationship.matches) return false;\n\n // Un sufijo de referencia solamente es válido cuando el nombre también\n // corresponde a la misma persona.\n if (\n relationship.type === 'reference_prefix' &&\n !bankMatchesName(bank, payroll.employee_name)\n ) {\n return false;\n }\n\n return true;\n })\n .map((bank) => {\n const relationship = accountRelationship(\n payroll.account,\n bank.account\n );\n const supplementDecision =\n chooseConditionalSupplements(payroll, bank);\n\n return {\n bank,\n relationship,\n supplementDecision,\n nameMatches: bankMatchesName(bank, payroll.employee_name),\n };\n })\n .sort((a, b) => {\n const exactDifference =\n Number(b.relationship.type === 'exact') -\n Number(a.relationship.type === 'exact');\n\n if (exactDifference !== 0) return exactDifference;\n\n const nameDifference =\n Number(b.nameMatches) - Number(a.nameMatches);\n\n if (nameDifference !== 0) return nameDifference;\n\n return (\n Math.abs(\n a.supplementDecision.effectiveAmount - a.bank.amount\n ) -\n Math.abs(\n b.supplementDecision.effectiveAmount - b.bank.amount\n )\n );\n });\n}\n\nfunction buildSources(payroll, selectedSupplements) {\n const supplementRows = selectedSupplements.map((row) => ({\n source_sheet: row.source_sheet,\n row_number: row.row_number,\n amount: row.payroll_amount,\n supplement_original_name:\n row.supplement_original_name || row.employee_name || '',\n supplement_id: row.supplement_id || '',\n applied_conditionally: true,\n }));\n\n const sourceRows = [\n ...(payroll.source_rows || []),\n ...supplementRows,\n ];\n\n const sourceSheets = Array.from(new Set([\n ...(payroll.source_sheets || []),\n ...selectedSupplements\n .map((row) => row.source_sheet)\n .filter(Boolean),\n ]));\n\n return { sourceRows, sourceSheets };\n}\n\nconst matchedPayrollKeys = new Set();\nconst matchedBankKeys = new Set();\nconst matchedNoAccountIndexes = new Set();\nconst appliedSupplementKeys = new Set();\nconst appliedSupplements = [];\nconst finalExactReconciliations = [];\nconst rows = [];\n\nfunction registerSupplements(selected) {\n for (const supplement of selected || []) {\n const key = supplementKey(supplement);\n\n if (!appliedSupplementKeys.has(key)) {\n appliedSupplementKeys.add(key);\n appliedSupplements.push(supplement);\n }\n }\n}\n\n// 1) Cuenta exacta o referencia con prefijo, y monto conciliado.\nfor (const payroll of payrollAccounts) {\n const candidates = getDirectCandidates(\n payroll,\n matchedBankKeys\n ).filter((candidate) => {\n return moneyEquals(\n candidate.supplementDecision.effectiveAmount,\n candidate.bank.amount\n );\n });\n\n if (candidates.length !== 1) continue;\n\n const candidate = candidates[0];\n const bank = candidate.bank;\n const decision = candidate.supplementDecision;\n const sources = buildSources(payroll, decision.selected);\n\n matchedPayrollKeys.add(payroll.group_key);\n matchedBankKeys.add(bank.group_key);\n registerSupplements(decision.selected);\n\n rows.push({\n id: `match_${payroll.group_key}_${bank.group_key}`,\n employee: payroll.employee_name,\n employee_name: payroll.employee_name,\n employeeNumber: payroll.employee_number,\n employee_number: payroll.employee_number,\n account: payroll.account,\n payrollAccount: payroll.account,\n payroll_account: payroll.account,\n bankAccount: bank.account,\n bank_account: bank.account,\n currency: payroll.currency,\n payrollAmount: decision.effectiveAmount,\n payroll_amount: decision.effectiveAmount,\n payrollBaseAmount: decision.baseAmount,\n payroll_base_amount: decision.baseAmount,\n bankAmount: bank.amount,\n bank_amount: bank.amount,\n difference: 0,\n status: 'Coincidencia',\n category: 'coincidencia',\n subcategory:\n candidate.relationship.type === 'reference_prefix'\n ? 'referencia_bancaria_con_prefijo'\n : decision.selected.length\n ? 'cuenta_monto_y_suplemento_condicional'\n : 'cuenta_y_monto_coinciden',\n observation:\n candidate.relationship.type === 'reference_prefix'\n ? 'Conciliado por nombre, monto y referencia bancaria con prefijo.'\n : decision.selected.length\n ? 'Conciliado correctamente. Se aplicó un suplemento porque el banco mostró un pago adicional.'\n : 'Conciliado correctamente.',\n applied_supplements: decision.selected,\n source_sheets: sources.sourceSheets,\n source_rows: sources.sourceRows,\n bank_source_rows: bank.source_rows,\n });\n}\n\n// 2) Cuenta diferente, pero nombre y monto coinciden.\n// Se ejecuta antes de crear diferencias directas para resolver casos como\n// Ashly/Ashley Ramos: la cuenta de la nómina apunta a otra transacción,\n// pero existe otra cuenta bancaria con el mismo nombre y monto correcto.\nfor (const payroll of payrollAccounts) {\n if (matchedPayrollKeys.has(payroll.group_key)) continue;\n\n const candidates = bankAccounts\n .filter((bank) => {\n if (matchedBankKeys.has(bank.group_key)) return false;\n if (bank.currency !== payroll.currency) return false;\n if (!bankMatchesName(bank, payroll.employee_name)) return false;\n\n const decision = chooseConditionalSupplements(\n payroll,\n bank\n );\n\n return moneyEquals(\n decision.effectiveAmount,\n bank.amount\n );\n })\n .map((bank) => ({\n bank,\n supplementDecision: chooseConditionalSupplements(\n payroll,\n bank\n ),\n }));\n\n if (candidates.length !== 1) continue;\n\n const candidate = candidates[0];\n const bank = candidate.bank;\n const decision = candidate.supplementDecision;\n const relationship = accountRelationship(\n payroll.account,\n bank.account\n );\n\n // Las referencias con prefijo ya debieron resolverse en el paso 1.\n if (relationship.type === 'reference_prefix') continue;\n\n const sources = buildSources(payroll, decision.selected);\n\n matchedPayrollKeys.add(payroll.group_key);\n matchedBankKeys.add(bank.group_key);\n registerSupplements(decision.selected);\n\n rows.push({\n id: `possible_wrong_account_${payroll.group_key}_${bank.group_key}`,\n employee: payroll.employee_name || bestBankDisplayName(bank),\n employee_name:\n payroll.employee_name || bestBankDisplayName(bank),\n employeeNumber: payroll.employee_number,\n employee_number: payroll.employee_number,\n account: payroll.account,\n payrollAccount: payroll.account,\n payroll_account: payroll.account,\n bankAccount: bank.account,\n bank_account: bank.account,\n currency: payroll.currency,\n payrollAmount: decision.effectiveAmount,\n payroll_amount: decision.effectiveAmount,\n payrollBaseAmount: decision.baseAmount,\n payroll_base_amount: decision.baseAmount,\n bankAmount: bank.amount,\n bank_amount: bank.amount,\n difference: 0,\n status: 'Riesgo',\n category: 'posible_cuenta_mal_digitada',\n subcategory:\n 'nombre_y_monto_coinciden_cuenta_diferente',\n observation:\n `El nombre y el monto coinciden, pero la cuenta de nómina ` +\n `(${payroll.account || 'sin cuenta'}) es diferente a la cuenta ` +\n `del banco (${bank.account || 'sin cuenta válida'}).`,\n applied_supplements: decision.selected,\n source_sheets: sources.sourceSheets,\n source_rows: sources.sourceRows,\n bank_source_rows: bank.source_rows,\n });\n}\n\n// 3) Nómina sin cuenta válida: conciliar por nombre y monto.\nfor (\n let index = 0;\n index < payrollNoAccountRows.length;\n index++\n) {\n const payroll = payrollNoAccountRows[index];\n\n const candidates = bankAccounts.filter((bank) => {\n if (matchedBankKeys.has(bank.group_key)) return false;\n if (bank.currency !== payroll.currency) return false;\n if (!moneyEquals(bank.amount, payroll.payroll_amount)) {\n return false;\n }\n\n return bankMatchesName(bank, payroll.employee_name);\n });\n\n if (candidates.length !== 1) continue;\n\n const bank = candidates[0];\n\n matchedNoAccountIndexes.add(index);\n matchedBankKeys.add(bank.group_key);\n\n rows.push({\n id: `match_no_account_${index}_${bank.group_key}`,\n employee:\n payroll.employee_name || bestBankDisplayName(bank),\n employee_name:\n payroll.employee_name || bestBankDisplayName(bank),\n employeeNumber: payroll.employee_number,\n employee_number: payroll.employee_number,\n account: bank.account,\n payrollAccount: '',\n payroll_account: '',\n bankAccount: bank.account,\n bank_account: bank.account,\n currency: payroll.currency,\n payrollAmount: payroll.payroll_amount,\n payroll_amount: payroll.payroll_amount,\n bankAmount: bank.amount,\n bank_amount: bank.amount,\n difference: 0,\n status: 'Coincidencia',\n category: 'coincidencia',\n subcategory:\n 'conciliado_por_nombre_y_monto_sin_cuenta_nomina',\n observation:\n 'Conciliado por nombre y monto. La nómina no tenía una cuenta bancaria válida.',\n source_sheet: payroll.source_sheet,\n row_number: payroll.row_number,\n bank_source_rows: bank.source_rows,\n });\n}\n\n// 4) Diferencias reales en una cuenta exacta o equivalente.\nfor (const payroll of payrollAccounts) {\n if (matchedPayrollKeys.has(payroll.group_key)) continue;\n\n const candidates = getDirectCandidates(\n payroll,\n matchedBankKeys\n );\n\n if (!candidates.length) continue;\n\n const candidate = candidates[0];\n const bank = candidate.bank;\n const decision = candidate.supplementDecision;\n const sources = buildSources(payroll, decision.selected);\n const difference = moneyDiff(\n decision.effectiveAmount,\n bank.amount\n );\n\n matchedPayrollKeys.add(payroll.group_key);\n matchedBankKeys.add(bank.group_key);\n registerSupplements(decision.selected);\n\n rows.push({\n id: `difference_${payroll.group_key}_${bank.group_key}`,\n employee: payroll.employee_name,\n employee_name: payroll.employee_name,\n employeeNumber: payroll.employee_number,\n employee_number: payroll.employee_number,\n account: payroll.account,\n payrollAccount: payroll.account,\n payroll_account: payroll.account,\n bankAccount: bank.account,\n bank_account: bank.account,\n currency: payroll.currency,\n payrollAmount: decision.effectiveAmount,\n payroll_amount: decision.effectiveAmount,\n payrollBaseAmount: decision.baseAmount,\n payroll_base_amount: decision.baseAmount,\n bankAmount: bank.amount,\n bank_amount: bank.amount,\n difference,\n status: 'Riesgo',\n category: 'discrepancia',\n subcategory: 'diferencia_monto',\n observation:\n `Diferencia de ${payroll.currency} ` +\n `${formatMoney(difference)}.`,\n applied_supplements: decision.selected,\n source_sheets: sources.sourceSheets,\n source_rows: sources.sourceRows,\n bank_source_rows: bank.source_rows,\n });\n}\n\n\n// 4.5) Reconciliación final exacta de pares residuales.\n//\n// Este paso corrige casos en los que nómina y banco contienen:\n// - la misma cuenta normalizada;\n// - el mismo empleado;\n// - el mismo monto;\n// pero no fueron enlazados en los pasos anteriores por diferencias técnicas\n// de agrupación, moneda inferida o metadatos del CSV.\n//\n// Es deliberadamente conservador: exige una única contraparte bancaria.\nfor (const payroll of payrollAccounts) {\n if (matchedPayrollKeys.has(payroll.group_key)) continue;\n\n const candidates = bankAccounts\n .filter((bank) => {\n if (matchedBankKeys.has(bank.group_key)) return false;\n\n const payrollAccount = normalizeAccount(payroll.account);\n const bankAccount = normalizeAccount(bank.account);\n\n if (!payrollAccount || payrollAccount !== bankAccount) {\n return false;\n }\n\n if (!bankMatchesName(bank, payroll.employee_name)) {\n return false;\n }\n\n const decision = chooseConditionalSupplements(payroll, bank);\n\n return moneyEquals(\n decision.effectiveAmount,\n bank.amount\n );\n })\n .map((bank) => ({\n bank,\n supplementDecision: chooseConditionalSupplements(\n payroll,\n bank\n ),\n }));\n\n if (candidates.length !== 1) continue;\n\n const candidate = candidates[0];\n const bank = candidate.bank;\n const decision = candidate.supplementDecision;\n const sources = buildSources(\n payroll,\n decision.selected\n );\n\n matchedPayrollKeys.add(payroll.group_key);\n matchedBankKeys.add(bank.group_key);\n registerSupplements(decision.selected);\n\n finalExactReconciliations.push({\n employee_name: payroll.employee_name,\n employee_number: payroll.employee_number,\n account: payroll.account,\n payroll_currency: payroll.currency,\n bank_currency: bank.currency,\n payroll_amount: decision.effectiveAmount,\n bank_amount: bank.amount,\n payroll_group_key: payroll.group_key,\n bank_group_key: bank.group_key,\n });\n\n rows.push({\n id: `final_exact_match_${payroll.group_key}_${bank.group_key}`,\n employee: payroll.employee_name,\n employee_name: payroll.employee_name,\n employeeNumber: payroll.employee_number,\n employee_number: payroll.employee_number,\n account: payroll.account,\n payrollAccount: payroll.account,\n payroll_account: payroll.account,\n bankAccount: bank.account,\n bank_account: bank.account,\n currency: bank.currency || payroll.currency,\n payrollAmount: decision.effectiveAmount,\n payroll_amount: decision.effectiveAmount,\n payrollBaseAmount: decision.baseAmount,\n payroll_base_amount: decision.baseAmount,\n bankAmount: bank.amount,\n bank_amount: bank.amount,\n difference: 0,\n status: 'Coincidencia',\n category: 'coincidencia',\n subcategory: 'reconciliacion_final_cuenta_nombre_monto',\n observation:\n 'Conciliado por cuenta, nombre y monto en la validación final.',\n applied_supplements: decision.selected,\n source_sheets: sources.sourceSheets,\n source_rows: sources.sourceRows,\n bank_source_rows: bank.source_rows,\n });\n}\n\n// 5) Nómina con cuenta sin pago bancario.\nfor (const payroll of payrollAccounts) {\n if (matchedPayrollKeys.has(payroll.group_key)) continue;\n\n rows.push({\n id: `payroll_without_bank_${payroll.group_key}`,\n employee: payroll.employee_name,\n employee_name: payroll.employee_name,\n employeeNumber: payroll.employee_number,\n employee_number: payroll.employee_number,\n account: payroll.account,\n payrollAccount: payroll.account,\n payroll_account: payroll.account,\n bankAccount: '',\n bank_account: '',\n currency: payroll.currency,\n payrollAmount: payroll.payroll_amount,\n payroll_amount: payroll.payroll_amount,\n payrollBaseAmount: payroll.payroll_amount,\n payroll_base_amount: payroll.payroll_amount,\n bankAmount: 0,\n bank_amount: 0,\n difference: payroll.payroll_amount,\n status: 'Riesgo',\n category: 'discrepancia',\n subcategory: 'nomina_con_cuenta_sin_pago_banco',\n observation:\n 'Está en nómina, pero no aparece pagado en el banco.',\n applied_supplements: [],\n source_sheets: payroll.source_sheets,\n source_rows: payroll.source_rows,\n });\n}\n\n// 6) Banco sin nómina.\nfor (const bank of bankAccounts) {\n if (matchedBankKeys.has(bank.group_key)) continue;\n\n rows.push({\n id: `bank_without_payroll_${bank.group_key}`,\n employee:\n bestBankDisplayName(bank) || 'Pago bancario sin nómina',\n employee_name:\n bestBankDisplayName(bank) || 'Pago bancario sin nómina',\n employeeNumber: '',\n employee_number: '',\n account: bank.account,\n payrollAccount: '',\n payroll_account: '',\n bankAccount: bank.account,\n bank_account: bank.account,\n currency: bank.currency,\n payrollAmount: 0,\n payroll_amount: 0,\n bankAmount: bank.amount,\n bank_amount: bank.amount,\n difference: roundMoney(0 - bank.amount),\n status: 'Pendiente revisión',\n category: 'banco_sin_nomina',\n subcategory: 'pago_banco_sin_fila_nomina',\n observation:\n 'Recibió un pago en el banco, pero no aparece en la nómina cargada.',\n bank_source_rows: bank.source_rows,\n });\n}\n\n// 7) Nómina sin cuenta que no pudo conciliarse.\nfor (\n let index = 0;\n index < payrollNoAccountRows.length;\n index++\n) {\n if (matchedNoAccountIndexes.has(index)) continue;\n\n const payroll = payrollNoAccountRows[index];\n\n rows.push({\n id:\n `payroll_without_account_` +\n `${payroll.source_sheet}_${payroll.row_number}`,\n employee: payroll.employee_name,\n employee_name: payroll.employee_name,\n employeeNumber: payroll.employee_number,\n employee_number: payroll.employee_number,\n account: '',\n payrollAccount: '',\n payroll_account: '',\n bankAccount: '',\n bank_account: '',\n currency: payroll.currency,\n payrollAmount: payroll.payroll_amount,\n payroll_amount: payroll.payroll_amount,\n bankAmount: 0,\n bank_amount: 0,\n difference: payroll.payroll_amount,\n status: 'Pendiente revisión',\n category: 'nomina_sin_cuenta',\n subcategory: 'nomina_sin_cuenta_bancaria',\n observation:\n 'Tiene monto en nómina, pero no tiene una cuenta bancaria válida para cruzar contra el banco.',\n source_sheet: payroll.source_sheet,\n row_number: payroll.row_number,\n });\n}\n\n// 8) Consolidar el mismo empleado cuando aparece con dos cuentas de nómina.\nconst originalRows = [...rows];\nconst usedRowIds = new Set();\nconst consolidatedRows = [];\n\nfor (const differenceRow of originalRows) {\n if (\n differenceRow.category !== 'discrepancia' ||\n differenceRow.subcategory !== 'diferencia_monto' ||\n usedRowIds.has(differenceRow.id)\n ) {\n continue;\n }\n\n const extraPayrollRow = originalRows.find((candidate) => {\n if (\n candidate.id === differenceRow.id ||\n usedRowIds.has(candidate.id) ||\n candidate.subcategory !==\n 'nomina_con_cuenta_sin_pago_banco' ||\n candidate.currency !== differenceRow.currency\n ) {\n return false;\n }\n\n const samePerson = samePersonName(\n differenceRow.employee_name || differenceRow.employee,\n candidate.employee_name || candidate.employee\n );\n\n const similarAccounts =\n accountDistance(\n differenceRow.account,\n candidate.account\n ) <= 2;\n\n const combinedPayroll = roundMoney(\n differenceRow.payroll_amount +\n candidate.payroll_amount\n );\n\n const totalMatches = moneyEquals(\n combinedPayroll,\n differenceRow.bank_amount\n );\n\n return samePerson && similarAccounts && totalMatches;\n });\n\n if (!extraPayrollRow) continue;\n\n usedRowIds.add(differenceRow.id);\n usedRowIds.add(extraPayrollRow.id);\n\n const totalPayroll = roundMoney(\n differenceRow.payroll_amount +\n extraPayrollRow.payroll_amount\n );\n\n const accounts = Array.from(new Set([\n differenceRow.account,\n extraPayrollRow.account,\n ].filter(Boolean)));\n\n consolidatedRows.push({\n id:\n `split_account_` +\n `${differenceRow.account}_${extraPayrollRow.account}`,\n employee: differenceRow.employee_name,\n employee_name: differenceRow.employee_name,\n employeeNumber:\n differenceRow.employee_number ||\n extraPayrollRow.employee_number ||\n '',\n employee_number:\n differenceRow.employee_number ||\n extraPayrollRow.employee_number ||\n '',\n account:\n differenceRow.bank_account ||\n differenceRow.account,\n payrollAccount: accounts.join(' / '),\n payroll_account: accounts.join(' / '),\n bankAccount: differenceRow.bank_account,\n bank_account: differenceRow.bank_account,\n currency: differenceRow.currency,\n payrollAmount: totalPayroll,\n payroll_amount: totalPayroll,\n bankAmount: differenceRow.bank_amount,\n bank_amount: differenceRow.bank_amount,\n difference: moneyDiff(\n totalPayroll,\n differenceRow.bank_amount\n ),\n status: 'Riesgo',\n category: 'posible_cuenta_mal_digitada',\n subcategory:\n 'mismo_empleado_con_cuentas_distintas_en_nomina',\n observation:\n `El total de nómina coincide con el banco, pero el empleado ` +\n `aparece con cuentas distintas en la nómina: ` +\n `${accounts.join(' y ')}. La cuenta utilizada por el banco ` +\n `fue ${differenceRow.bank_account}.`,\n applied_supplements:\n differenceRow.applied_supplements || [],\n source_sheets: Array.from(new Set([\n ...(differenceRow.source_sheets || []),\n ...(extraPayrollRow.source_sheets || []),\n ])),\n source_rows: [\n ...(differenceRow.source_rows || []),\n ...(extraPayrollRow.source_rows || []),\n ],\n bank_source_rows:\n differenceRow.bank_source_rows || [],\n });\n}\n\nconst coreRows = [\n ...originalRows.filter(\n (row) => !usedRowIds.has(row.id)\n ),\n ...consolidatedRows,\n];\n\nconst coreCoincidencias = coreRows.filter(\n (row) => row.category === 'coincidencia'\n).length;\n\nconst coreDiscrepancias = coreRows.filter((row) => {\n return (\n row.category === 'discrepancia' ||\n row.category === 'posible_cuenta_mal_digitada'\n );\n}).length;\n\nconst coreBancoSinNomina = coreRows.filter(\n (row) => row.category === 'banco_sin_nomina'\n).length;\n\nconst coreNominaSinCuenta = coreRows.filter(\n (row) => row.category === 'nomina_sin_cuenta'\n).length;\n\nconst corePosiblesCuentas = coreRows.filter(\n (row) => row.category === 'posible_cuenta_mal_digitada'\n).length;\n\nconst linkedPayrollNamesByBankRow = new Map();\nconst linkedPayrollNumbersByBankRow = new Map();\n\nfor (const reconciliationRow of coreRows) {\n const linkedName =\n reconciliationRow.employee_name ||\n reconciliationRow.employee ||\n '';\n const linkedEmployeeNumber = normalizeAccount(\n reconciliationRow.employee_number ||\n reconciliationRow.employeeNumber ||\n ''\n );\n\n for (\n const bankSourceRow of\n reconciliationRow.bank_source_rows || []\n ) {\n const rowKey = bankRowKey(bankSourceRow);\n\n const names =\n linkedPayrollNamesByBankRow.get(rowKey) || [];\n const numbers =\n linkedPayrollNumbersByBankRow.get(rowKey) || [];\n\n if (linkedName) names.push(linkedName);\n if (linkedEmployeeNumber.length >= 6) {\n numbers.push(linkedEmployeeNumber);\n }\n\n linkedPayrollNamesByBankRow.set(\n rowKey,\n Array.from(new Set(names))\n );\n linkedPayrollNumbersByBankRow.set(\n rowKey,\n Array.from(new Set(numbers))\n );\n }\n}\n\nconst bambooMatchDetails = [];\nconst bambooExcludedPayments = [];\nconst bankWithoutBambooMap = new Map();\n\nif (bambooValidationAvailable) {\nfor (const bankRow of bankDetailRows) {\n if (isClearlyNonEmployeePayment(bankRow)) {\n bambooExcludedPayments.push({\n source_file: bankRow.source_file,\n row_number: bankRow.row_number,\n reason: 'pago_no_empleado_identificado',\n bank_name_file: bankRow.bank_name_file,\n bank_account_holder:\n bankRow.bank_account_holder,\n amount: bankRow.amount,\n currency: bankRow.currency,\n });\n continue;\n }\n\n const match = findBambooMatch(bankRow);\n\n if (match.found) {\n bambooMatchDetails.push({\n source_file: bankRow.source_file,\n row_number: bankRow.row_number,\n account: bankRow.account,\n amount: bankRow.amount,\n currency: bankRow.currency,\n bank_name_file: bankRow.bank_name_file,\n bank_account_holder:\n bankRow.bank_account_holder,\n matched_by: match.matched_by,\n confidence: roundMoney(match.confidence),\n bamboo_employee_number:\n match.employee?.employee_number || '',\n bamboo_employee_name:\n match.employee?.full_name || '',\n bamboo_status:\n match.employee?.status || '',\n bamboo_overlaps_period:\n Boolean(match.employee?.overlaps_period),\n });\n continue;\n }\n\n const displayName =\n bankRow.bank_name_file ||\n bankRow.bank_account_holder ||\n 'Pago bancario sin empleado identificado';\n\n const groupingKey = [\n normalizeAccount(bankRow.account),\n normalizeName(displayName),\n bankRow.currency || 'QTZ',\n ].join('|');\n\n const current =\n bankWithoutBambooMap.get(groupingKey) || {\n id: `bank_without_bamboo_${groupingKey}`,\n employee: displayName,\n employee_name: displayName,\n bank_name_file:\n bankRow.bank_name_file || '',\n bank_account_holder:\n bankRow.bank_account_holder || '',\n account: normalizeAccount(bankRow.account),\n bankAccount: normalizeAccount(bankRow.account),\n bank_account: normalizeAccount(bankRow.account),\n currency: bankRow.currency || 'QTZ',\n bankAmount: 0,\n bank_amount: 0,\n shipment_numbers: new Set(),\n references: new Set(),\n source_files: new Set(),\n source_rows: [],\n status: 'Pendiente revisión',\n category: 'banco_sin_bamboo',\n subcategory:\n 'pago_bancario_sin_empleado_bamboohr_gt',\n observation:\n 'Se encontró un pago en el banco, pero no se encontró una coincidencia confiable con un empleado de Guatemala en BambooHR.',\n best_bamboo_candidate:\n match.best_candidate\n ? {\n employee_number:\n match.best_candidate.employee\n ?.employee_number || '',\n employee_name:\n match.best_candidate.employee\n ?.full_name || '',\n score: roundMoney(\n match.best_candidate.score\n ),\n }\n : null,\n ambiguous_bamboo_match:\n Boolean(match.ambiguous),\n };\n\n current.bankAmount = roundMoney(\n current.bankAmount +\n Number(bankRow.amount || 0)\n );\n current.bank_amount = current.bankAmount;\n\n if (bankRow.shipment_number) {\n current.shipment_numbers.add(\n bankRow.shipment_number\n );\n }\n\n if (bankRow.reference) {\n current.references.add(bankRow.reference);\n }\n\n if (bankRow.source_file) {\n current.source_files.add(\n bankRow.source_file\n );\n }\n\n current.source_rows.push(bankRow);\n bankWithoutBambooMap.set(\n groupingKey,\n current\n );\n}\n}\n\nconst bankWithoutBamboo = Array.from(\n bankWithoutBambooMap.values()\n).map((row) => ({\n ...row,\n shipment_numbers: Array.from(\n row.shipment_numbers\n ),\n references: Array.from(row.references),\n source_files: Array.from(row.source_files),\n difference: roundMoney(\n 0 - row.bank_amount\n ),\n}));\n\nconst nameDifferenceRows = (\n data.bank?.name_differences || []\n).map((row) => ({\n id: row.id,\n employee: row.bank_name_file,\n employee_name: row.bank_name_file,\n employeeNumber: '',\n employee_number: '',\n account: row.account,\n payrollAccount: '',\n payroll_account: '',\n bankAccount: row.account,\n bank_account: row.account,\n currency: row.currency || 'QTZ',\n payrollAmount: 0,\n payroll_amount: 0,\n bankAmount: row.amount,\n bank_amount: row.amount,\n difference: 0,\n status: 'Pendiente revisión',\n category: 'diferencia_nombre_banco',\n subcategory: 'nombre_archivo_vs_cuentahabiente',\n observation: row.observation,\n bank_name_file: row.bank_name_file,\n bank_account_holder: row.bank_account_holder,\n source_file: row.source_file,\n shipment_number: row.shipment_number,\n plan_number: row.plan_number,\n reference: row.reference,\n row_number: row.row_number,\n}));\n\nfunction priority(row) {\n const category = String(\n row.category || ''\n ).toLowerCase();\n\n if (category === 'posible_cuenta_mal_digitada') return 1;\n if (category === 'discrepancia') return 2;\n if (category === 'banco_sin_nomina') return 3;\n if (category === 'nomina_sin_cuenta') return 4;\n if (category === 'diferencia_nombre_banco') return 5;\n if (category === 'coincidencia') return 99;\n\n return 50;\n}\n\nconst rowsFinales = [\n ...coreRows,\n ...nameDifferenceRows,\n].sort((a, b) => {\n const priorityDifference =\n priority(a) - priority(b);\n\n if (priorityDifference !== 0) {\n return priorityDifference;\n }\n\n return String(\n a.employee_name || ''\n ).localeCompare(\n String(b.employee_name || ''),\n 'es'\n );\n});\n\nconst appliedSupplementsTotal = roundMoney(\n appliedSupplements.reduce(\n (sum, row) => sum + row.payroll_amount,\n 0\n )\n);\n\nconst totalNominaBase = roundMoney(\n data.payroll?.total_amount || 0\n);\n\nconst totalNomina = roundMoney(\n totalNominaBase + appliedSupplementsTotal\n);\n\nconst totalBanco = roundMoney(\n data.bank?.total_amount || 0\n);\n\nconst diferenciasNombreBanco =\n nameDifferenceRows.length;\n\nconst pendientes =\n coreDiscrepancias +\n coreBancoSinNomina +\n coreNominaSinCuenta +\n diferenciasNombreBanco;\n\nconst unusedPotentialSupplements =\n potentialSupplements.filter((row) => {\n return !appliedSupplementKeys.has(\n supplementKey(row)\n );\n });\n\nconst bambooSummaryCompact = {\n ...(data.bamboo || {}),\n};\n\n/*\n * El arreglo completo de empleados solo se necesita dentro de este nodo.\n * No se reenvía a Google Sheets, Supabase ni al webhook para evitar cargar\n * cerca de 1 MB innecesario en todos los nodos posteriores.\n */\ndelete bambooSummaryCompact.employees;\n\nreturn [\n {\n json: {\n ok: true,\n stage: 'cruce_nomina_completa_banco_condicional',\n errors: [],\n metadata: data.metadata || {},\n summary: {\n coincidencias: coreCoincidencias,\n discrepancias: coreDiscrepancias,\n bancoSinNomina: coreBancoSinNomina,\n bancoSinBamboo: bankWithoutBamboo.length,\n nominaSinCuenta: coreNominaSinCuenta,\n diferenciasNombreBanco,\n posiblesCuentasMalDigitadas:\n corePosiblesCuentas,\n pendientes,\n filasNominaValidas:\n data.payroll?.valid_rows_count || 0,\n filasNominaSinCuenta:\n data.payroll?.no_account_rows_count || 0,\n suplementosPotenciales:\n potentialSupplements.length,\n suplementosNominaAplicados:\n appliedSupplements.length,\n suplementosNominaNoAplicados:\n unusedPotentialSupplements.length,\n suplementosNominaAdjuntados:\n appliedSupplements.length,\n suplementosNominaNoAdjuntados:\n data.payroll?.unattached_supplements_count || 0,\n reconciliacionesExactasFinales:\n finalExactReconciliations.length,\n cuentasNominaAgrupadas:\n payrollAccounts.length,\n transaccionesBanco:\n data.bank?.rows_count || 0,\n cuentasBancoAgrupadas:\n bankAccounts.length,\n empleadosBambooGT:\n bambooEmployees.length,\n empleadosBambooEnPeriodo:\n Number(\n data.bamboo?.active_in_period_count || 0\n ),\n bambooPaginasDescargadas:\n Number(\n data.bamboo?.pages_fetched || 0\n ),\n bambooEmpleadosEsperados:\n Number(\n data.bamboo?.expected_total || 0\n ),\n bambooDescargaCompleta:\n Boolean(\n data.bamboo?.fetch_complete\n ),\n bambooValidacionDisponible:\n bambooValidationAvailable,\n totalNominaBase,\n totalSuplementosAplicados:\n appliedSupplementsTotal,\n totalNomina,\n totalBanco,\n diferenciaTotal:\n moneyDiff(totalNomina, totalBanco),\n },\n rows: rowsFinales,\n bankWithoutBamboo,\n nameDifferences: nameDifferenceRows,\n bambooSummary: bambooSummaryCompact,\n reportUrl: null,\n debug: {\n sheet_summaries:\n data.payroll?.sheet_summaries || [],\n potential_supplements:\n potentialSupplements,\n applied_supplements:\n appliedSupplements,\n final_exact_reconciliations:\n finalExactReconciliations,\n bamboo_search:\n {\n employees_indexed:\n bambooSearch.records.length,\n exact_aliases:\n bambooSearch.exactAliasMap.size,\n indexed_tokens:\n bambooSearch.tokenIndex.size,\n cache_entries:\n bambooMatchCache.size,\n },\n bamboo_matches:\n bambooMatchDetails,\n bamboo_excluded_payments:\n bambooExcludedPayments,\n bamboo_validation_available:\n bambooValidationAvailable,\n bamboo_validation_warning:\n bambooValidationWarning,\n banco_sin_bamboo:\n bankWithoutBamboo,\n unused_potential_supplements:\n unusedPotentialSupplements,\n unattached_supplements:\n data.debug_payroll?.unattached_supplements || [],\n payroll_preview:\n payrollAccounts.slice(0, 10),\n bank_preview:\n bankAccounts.slice(0, 10),\n payroll_no_account_preview:\n payrollNoAccountRows.slice(0, 10),\n },\n },\n },\n];" + "jsCode": "const data = $('Merge - Agregar BambooHR').first().json || {};\nconst aliasResponse = $input.first().json || {};\nconst validatedBambooAliases = Array.isArray(aliasResponse.aliases)\n ? aliasResponse.aliases.filter((alias) => alias && alias.activo !== false)\n : [];\n\nfunction roundMoney(value) {\n return Math.round((Number(value) || 0) * 100) / 100;\n}\n\nfunction moneyDiff(a, b) {\n return roundMoney((Number(a) || 0) - (Number(b) || 0));\n}\n\nfunction moneyEquals(a, b, tolerance = 0.02) {\n return Math.abs(roundMoney(a) - roundMoney(b)) <= tolerance;\n}\n\nfunction normalizeAccount(value) {\n return String(value ?? '')\n .replace(/\\.0$/g, '')\n .replace(/\\D/g, '')\n .trim();\n}\n\nfunction normalizeName(value) {\n return String(value ?? '')\n .toLowerCase()\n .normalize('NFD')\n .replace(/[\\u0300-\\u036f]/g, '')\n .replace(/[^a-z0-9 ]/g, ' ')\n .replace(/\\s+/g, ' ')\n .trim();\n}\n\nfunction nameWords(value) {\n const ignored = new Set(['de', 'del', 'la', 'las', 'los', 'y', 'e', 'el']);\n return normalizeName(value)\n .split(' ')\n .filter((word) => word.length > 1 && !ignored.has(word));\n}\n\nfunction editDistance(a, b) {\n if (a === b) return 0;\n if (!a) return b.length;\n if (!b) return a.length;\n\n const previous = Array.from({ length: b.length + 1 }, (_, index) => index);\n\n for (let i = 1; i <= a.length; i++) {\n const current = [i];\n\n for (let j = 1; j <= b.length; j++) {\n const cost = a[i - 1] === b[j - 1] ? 0 : 1;\n\n current[j] = Math.min(\n current[j - 1] + 1,\n previous[j] + 1,\n previous[j - 1] + cost\n );\n }\n\n for (let j = 0; j < current.length; j++) {\n previous[j] = current[j];\n }\n }\n\n return previous[b.length];\n}\n\nfunction tokenMatches(a, b) {\n if (a === b) return true;\n\n const minLength = Math.min(a.length, b.length);\n\n if (minLength >= 8 && editDistance(a, b) <= 2) return true;\n if (minLength >= 5 && editDistance(a, b) <= 1) return true;\n\n return false;\n}\n\nfunction samePersonName(a, b) {\n const normalizedA = normalizeName(a);\n const normalizedB = normalizeName(b);\n\n if (!normalizedA || !normalizedB) return false;\n if (normalizedA === normalizedB) return true;\n\n const wordsA = nameWords(a);\n const wordsB = nameWords(b);\n\n if (!wordsA.length || !wordsB.length) return false;\n\n const usedB = new Set();\n let matches = 0;\n\n for (const wordA of wordsA) {\n const matchIndex = wordsB.findIndex((wordB, index) => {\n return !usedB.has(index) && tokenMatches(wordA, wordB);\n });\n\n if (matchIndex >= 0) {\n usedB.add(matchIndex);\n matches += 1;\n }\n }\n\n const smallerLength = Math.min(wordsA.length, wordsB.length);\n const ratio = matches / smallerLength;\n\n if (smallerLength <= 2) {\n return matches === smallerLength && matches >= 2;\n }\n\n return matches >= 2 && ratio >= 0.6;\n}\n\nfunction accountDistance(a, b) {\n return editDistance(normalizeAccount(a), normalizeAccount(b));\n}\n\nfunction accountRelationship(payrollAccount, bankAccount) {\n const payroll = normalizeAccount(payrollAccount);\n const bank = normalizeAccount(bankAccount);\n\n if (!payroll || !bank) {\n return { matches: false, type: 'none' };\n }\n\n if (payroll === bank) {\n return { matches: true, type: 'exact' };\n }\n\n const bankHasPayrollSuffix =\n bank.endsWith(payroll) &&\n bank.length > payroll.length &&\n bank.length - payroll.length <= 6;\n\n const payrollHasBankSuffix =\n payroll.endsWith(bank) &&\n payroll.length > bank.length &&\n payroll.length - bank.length <= 6;\n\n if (bankHasPayrollSuffix || payrollHasBankSuffix) {\n return { matches: true, type: 'reference_prefix' };\n }\n\n return { matches: false, type: 'none' };\n}\n\nfunction formatMoney(value) {\n return Math.abs(roundMoney(value)).toLocaleString('en-US', {\n minimumFractionDigits: 2,\n maximumFractionDigits: 2,\n });\n}\n\nfunction bankNames(bank) {\n return Array.from(new Set([\n ...(Array.isArray(bank.bank_name_files) ? bank.bank_name_files : []),\n ...(Array.isArray(bank.bank_account_holders) ? bank.bank_account_holders : []),\n bank.bank_name_file || '',\n bank.bank_account_holder || '',\n ].filter(Boolean)));\n}\n\nfunction bankMatchesName(bank, payrollName) {\n return bankNames(bank).some((name) => samePersonName(payrollName, name));\n}\n\nfunction bestBankDisplayName(bank) {\n return (\n bank.bank_name_file ||\n bank.bank_account_holder ||\n bankNames(bank)[0] ||\n ''\n );\n}\n\n\nfunction bambooAliases(employee) {\n return Array.from(new Set([\n ...(Array.isArray(employee.aliases) ? employee.aliases : []),\n employee.full_name || '',\n [\n employee.first_name,\n employee.middle_name,\n employee.last_name,\n ].filter(Boolean).join(' '),\n [\n employee.preferred_name,\n employee.last_name,\n ].filter(Boolean).join(' '),\n [\n employee.first_name,\n employee.last_name,\n ].filter(Boolean).join(' '),\n ].map((value) =>\n String(value || '').trim()\n ).filter(Boolean)));\n}\n\nfunction bambooEmployeeNumber(employee) {\n return normalizeAccount(\n employee.employee_number ||\n employee.employeeNumber ||\n ''\n );\n}\n\nfunction bankRowKey(row) {\n return [\n row.source_file || '',\n row.row_number || '',\n ].join('|');\n}\n\nfunction bankRowNames(row) {\n const rowKey = bankRowKey(row);\n\n const linkedPayrollNames =\n typeof linkedPayrollNamesByBankRow !== 'undefined'\n ? linkedPayrollNamesByBankRow.get(rowKey) || []\n : [];\n\n return Array.from(new Set([\n row.bank_name_file || '',\n row.bank_account_holder || '',\n row.participant_name || '',\n ...linkedPayrollNames,\n ].map((value) =>\n String(value || '').trim()\n ).filter(Boolean)));\n}\n\nfunction bankRowEmployeeNumbers(row) {\n const rowKey = bankRowKey(row);\n\n const linkedNumbers =\n typeof linkedPayrollNumbersByBankRow !== 'undefined'\n ? linkedPayrollNumbersByBankRow.get(rowKey) || []\n : [];\n\n return Array.from(new Set(\n linkedNumbers\n .map(normalizeAccount)\n .filter((value) => value.length >= 6)\n ));\n}\n\nfunction extractDigitSequences(value) {\n return Array.from(new Set(\n String(value || '')\n .match(/\\d{6,20}/g) || []\n )).map(normalizeAccount).filter(\n (value) => value.length >= 6\n );\n}\n\nfunction bankRowReferenceNumbers(row) {\n return Array.from(new Set([\n ...extractDigitSequences(row.reference),\n ...extractDigitSequences(row.concept),\n ...extractDigitSequences(row.addenda),\n ...extractDigitSequences(row.participant_id),\n ]));\n}\n\nfunction isClearlyNonEmployeePayment(row) {\n const normalized = normalizeName([\n row.concept || '',\n row.bank_name_file || '',\n row.bank_account_holder || '',\n ].join(' '));\n\n return [\n 'pension alimenticia',\n 'embargo judicial',\n 'retencion judicial',\n ].some((token) =>\n normalized.includes(normalizeName(token))\n );\n}\n\nfunction buildBambooSearchIndex(employees) {\n const records = [];\n const exactAliasSets = new Map();\n const tokenIndexSets = new Map();\n const employeeNumberSets = new Map();\n\n for (\n let employeeIndex = 0;\n employeeIndex < employees.length;\n employeeIndex++\n ) {\n const employee = employees[employeeIndex];\n const aliases = [];\n const seenAliases = new Set();\n\n for (const rawAlias of bambooAliases(employee)) {\n const normalized = normalizeName(rawAlias);\n\n if (\n !normalized ||\n seenAliases.has(normalized)\n ) {\n continue;\n }\n\n seenAliases.add(normalized);\n\n const words = Array.from(new Set(\n nameWords(normalized)\n ));\n\n if (!words.length) continue;\n\n const wordSet = new Set(words);\n\n aliases.push({\n raw: rawAlias,\n normalized,\n words,\n wordSet,\n });\n\n let exactSet =\n exactAliasSets.get(normalized);\n\n if (!exactSet) {\n exactSet = new Set();\n exactAliasSets.set(\n normalized,\n exactSet\n );\n }\n\n exactSet.add(employeeIndex);\n\n for (const token of words) {\n if (token.length < 3) continue;\n\n let tokenSet =\n tokenIndexSets.get(token);\n\n if (!tokenSet) {\n tokenSet = new Set();\n tokenIndexSets.set(\n token,\n tokenSet\n );\n }\n\n tokenSet.add(employeeIndex);\n }\n }\n\n const employeeNumber =\n bambooEmployeeNumber(employee);\n\n if (employeeNumber.length >= 6) {\n let numberSet =\n employeeNumberSets.get(\n employeeNumber\n );\n\n if (!numberSet) {\n numberSet = new Set();\n employeeNumberSets.set(\n employeeNumber,\n numberSet\n );\n }\n\n numberSet.add(employeeIndex);\n }\n\n records.push({\n employee,\n aliases,\n employeeNumber,\n });\n }\n\n const exactAliasMap = new Map();\n const tokenIndex = new Map();\n const employeeNumberMap = new Map();\n\n for (const [key, value] of exactAliasSets) {\n exactAliasMap.set(\n key,\n Array.from(value)\n );\n }\n\n for (const [key, value] of tokenIndexSets) {\n tokenIndex.set(\n key,\n Array.from(value)\n );\n }\n\n for (\n const [key, value] of\n employeeNumberSets\n ) {\n employeeNumberMap.set(\n key,\n Array.from(value)\n );\n }\n\n return {\n records,\n exactAliasMap,\n tokenIndex,\n employeeNumberMap,\n };\n}\n\nfunction aliasMatchDetails(\n queryName,\n alias\n) {\n const queryNormalized =\n normalizeName(queryName);\n\n if (!queryNormalized) return null;\n\n if (\n queryNormalized === alias.normalized\n ) {\n return {\n score: 1,\n exact: true,\n containment: true,\n matchedTokens:\n alias.words.length,\n exactMatches:\n alias.words.length,\n fuzzyMatches: 0,\n queryCoverage: 1,\n aliasCoverage: 1,\n };\n }\n\n const queryWords = Array.from(\n new Set(nameWords(queryNormalized))\n );\n\n if (\n queryWords.length < 2 ||\n alias.words.length < 2\n ) {\n return null;\n }\n\n const querySet = new Set(queryWords);\n\n let exactMatches = 0;\n\n for (const queryWord of queryWords) {\n if (alias.wordSet.has(queryWord)) {\n exactMatches += 1;\n }\n }\n\n const queryInsideAlias =\n exactMatches === queryWords.length;\n\n let aliasWordsInsideQuery = 0;\n\n for (const aliasWord of alias.words) {\n if (querySet.has(aliasWord)) {\n aliasWordsInsideQuery += 1;\n }\n }\n\n const aliasInsideQuery =\n aliasWordsInsideQuery ===\n alias.words.length;\n\n if (\n queryInsideAlias ||\n aliasInsideQuery\n ) {\n const shorterLength = Math.min(\n queryWords.length,\n alias.words.length\n );\n const longerLength = Math.max(\n queryWords.length,\n alias.words.length\n );\n\n return {\n score:\n 0.90 +\n (\n shorterLength /\n Math.max(1, longerLength)\n ) * 0.09,\n exact: false,\n containment: true,\n matchedTokens: exactMatches,\n exactMatches,\n fuzzyMatches: 0,\n queryCoverage:\n exactMatches / queryWords.length,\n aliasCoverage:\n aliasWordsInsideQuery /\n alias.words.length,\n };\n }\n\n if (exactMatches < 2) {\n return null;\n }\n\n const usedAliasWords = new Set();\n let fuzzyMatches = 0;\n\n for (let queryIndex = 0;\n queryIndex < queryWords.length;\n queryIndex++\n ) {\n const queryWord =\n queryWords[queryIndex];\n\n if (alias.wordSet.has(queryWord)) {\n continue;\n }\n\n const aliasIndex =\n alias.words.findIndex(\n (aliasWord, currentIndex) =>\n !usedAliasWords.has(\n currentIndex\n ) &&\n !querySet.has(aliasWord) &&\n tokenMatches(\n queryWord,\n aliasWord\n )\n );\n\n if (aliasIndex >= 0) {\n usedAliasWords.add(aliasIndex);\n fuzzyMatches += 1;\n }\n }\n\n const matchedTokens =\n exactMatches + fuzzyMatches;\n\n if (\n fuzzyMatches > 1 ||\n matchedTokens < 3\n ) {\n return null;\n }\n\n const queryCoverage =\n matchedTokens / queryWords.length;\n\n const aliasCoverage =\n matchedTokens / alias.words.length;\n\n if (\n queryCoverage < 0.67 ||\n aliasCoverage < 0.60\n ) {\n return null;\n }\n\n return {\n score:\n queryCoverage * 0.48 +\n aliasCoverage * 0.32 +\n (\n exactMatches /\n matchedTokens\n ) * 0.20,\n exact: false,\n containment: false,\n matchedTokens,\n exactMatches,\n fuzzyMatches,\n queryCoverage,\n aliasCoverage,\n };\n}\n\nfunction candidateIndexesForName(\n normalizedName\n) {\n const tokens = Array.from(\n new Set(nameWords(normalizedName))\n ).filter((token) =>\n token.length >= 3\n );\n\n const votes = new Map();\n\n for (const token of tokens) {\n const indexes =\n bambooSearch.tokenIndex.get(token) || [];\n\n /*\n * Los tokens muy comunes no aportan suficiente identidad.\n * Ignorarlos evita cientos de candidatos y mantiene el nodo rápido.\n */\n if (indexes.length > 240) continue;\n\n for (const index of indexes) {\n votes.set(\n index,\n (votes.get(index) || 0) + 1\n );\n }\n }\n\n return Array.from(votes.entries())\n .filter(([, voteCount]) =>\n voteCount >= 2 ||\n (\n tokens.length === 2 &&\n voteCount === 2\n )\n )\n .sort((left, right) =>\n right[1] - left[1]\n )\n .slice(0, 90)\n .map(([index]) => index);\n}\n\nconst bambooMatchCache = new Map();\n\nfunction findBambooMatch(bankRow) {\n const names = bankRowNames(bankRow)\n .map((raw) => ({\n raw,\n normalized:\n normalizeName(raw),\n tokenCount:\n nameWords(raw).length,\n }))\n .filter((entry) =>\n entry.normalized &&\n entry.tokenCount >= 2\n )\n .sort((left, right) =>\n right.tokenCount -\n left.tokenCount\n );\n\n const directEmployeeNumbers =\n bankRowEmployeeNumbers(bankRow);\n\n const referenceNumbers =\n bankRowReferenceNumbers(bankRow);\n\n const cacheKey = [\n ...directEmployeeNumbers\n .slice()\n .sort(),\n ...referenceNumbers\n .slice()\n .sort(),\n ...names\n .map((entry) =>\n entry.normalized\n )\n .sort(),\n ].join('|');\n\n if (bambooMatchCache.has(cacheKey)) {\n return bambooMatchCache.get(\n cacheKey\n );\n }\n\n const numberCandidates = new Set();\n\n for (const employeeNumber of [\n ...directEmployeeNumbers,\n ...referenceNumbers,\n ]) {\n for (\n const index of\n bambooSearch.employeeNumberMap\n .get(employeeNumber) || []\n ) {\n numberCandidates.add(index);\n }\n }\n\n if (numberCandidates.size === 1) {\n const index =\n numberCandidates.values()\n .next().value;\n\n const result = {\n found: true,\n matched_by:\n directEmployeeNumbers.length\n ? 'employee_number_payroll'\n : 'employee_number_reference',\n confidence: 1,\n employee:\n bambooSearch.records[index]\n .employee,\n };\n\n bambooMatchCache.set(\n cacheKey,\n result\n );\n\n return result;\n }\n\n\n /*\n * Consulta primero la resolución calculada una sola vez en el\n * normalizador. Esto evita repetir búsquedas aproximadas por cada fila\n * bancaria y mantiene el task runner estable incluso con miles de\n * empleados en BambooHR.\n */\n const precomputedNameMatches =\n data.bamboo?.resolved_name_matches ||\n {};\n\n const precomputedNameEntries =\n names.map((entry) => {\n const raw =\n typeof entry === 'string'\n ? entry\n : entry?.raw || '';\n\n return {\n raw,\n normalized:\n typeof entry === 'string'\n ? normalizeName(entry)\n : (\n entry?.normalized ||\n normalizeName(raw)\n ),\n token_count:\n typeof entry === 'string'\n ? nameWords(entry).length\n : (\n entry?.tokenCount ||\n nameWords(raw).length\n ),\n };\n }).filter((entry) =>\n entry.normalized\n );\n\n const precomputedFoundByEmployee =\n new Map();\n\n function resolutionEmployeeKey(\n employee\n ) {\n return (\n String(\n employee?.bamboo_id ||\n ''\n ).trim() ||\n normalizeAccount(\n employee?.employee_number ||\n employee?.employeeNumber ||\n ''\n ) ||\n normalizeName(\n employee?.full_name ||\n employee?.displayName ||\n ''\n )\n );\n }\n\n for (\n const nameEntry of\n precomputedNameEntries\n ) {\n const decision =\n precomputedNameMatches[\n nameEntry.normalized\n ];\n\n if (\n !decision ||\n decision.found !== true\n ) {\n continue;\n }\n\n let employee =\n Number.isInteger(\n decision.employee_index\n )\n ? bambooEmployees[\n decision.employee_index\n ]\n : null;\n\n const expectedKey =\n String(\n decision.employee_key ||\n ''\n ).trim();\n\n if (\n !employee ||\n (\n expectedKey &&\n resolutionEmployeeKey(\n employee\n ) !== expectedKey\n )\n ) {\n employee =\n bambooEmployees.find(\n (candidate) =>\n resolutionEmployeeKey(\n candidate\n ) === expectedKey\n ) || null;\n }\n\n if (!employee) continue;\n\n const employeeKey =\n resolutionEmployeeKey(employee);\n\n const candidate = {\n employee,\n employee_key:\n employeeKey,\n confidence:\n Number(\n decision.confidence || 0\n ),\n matched_by:\n decision.matched_by ||\n 'precomputed_name',\n bank_name:\n nameEntry.raw,\n bamboo_alias:\n decision.bamboo_alias ||\n employee.full_name ||\n '',\n informativeness:\n nameEntry.token_count,\n };\n\n const existing =\n precomputedFoundByEmployee\n .get(employeeKey);\n\n if (\n !existing ||\n candidate.confidence >\n existing.confidence ||\n (\n candidate.confidence ===\n existing.confidence &&\n candidate.informativeness >\n existing.informativeness\n )\n ) {\n precomputedFoundByEmployee.set(\n employeeKey,\n candidate\n );\n }\n }\n\n const precomputedRanked =\n Array.from(\n precomputedFoundByEmployee\n .values()\n ).sort((left, right) => {\n if (\n right.confidence !==\n left.confidence\n ) {\n return (\n right.confidence -\n left.confidence\n );\n }\n\n return (\n right.informativeness -\n left.informativeness\n );\n });\n\n if (precomputedRanked.length === 1) {\n const best =\n precomputedRanked[0];\n\n const result = {\n found: true,\n matched_by:\n best.matched_by,\n confidence:\n best.confidence,\n employee:\n best.employee,\n bank_name:\n best.bank_name,\n bamboo_alias:\n best.bamboo_alias,\n };\n\n bambooMatchCache.set(\n cacheKey,\n result\n );\n\n return result;\n }\n\n if (\n precomputedRanked.length > 1\n ) {\n const best =\n precomputedRanked[0];\n\n const second =\n precomputedRanked[1];\n\n if (\n best.confidence -\n second.confidence >= 0.08\n ) {\n const result = {\n found: true,\n matched_by:\n best.matched_by,\n confidence:\n best.confidence,\n employee:\n best.employee,\n bank_name:\n best.bank_name,\n bamboo_alias:\n best.bamboo_alias,\n };\n\n bambooMatchCache.set(\n cacheKey,\n result\n );\n\n return result;\n }\n\n const result = {\n found: false,\n matched_by: null,\n confidence:\n best.confidence,\n employee: null,\n ambiguous: true,\n reason:\n 'conflicting_precomputed_name_matches',\n best_candidate: {\n employee:\n best.employee,\n score:\n best.confidence,\n bank_name:\n best.bank_name,\n bamboo_alias:\n best.bamboo_alias,\n },\n };\n\n bambooMatchCache.set(\n cacheKey,\n result\n );\n\n return result;\n }\n\n\n /*\n * Primero se intenta una coincidencia textual exacta.\n * Se acepta solamente cuando todos los alias exactos apuntan\n * al mismo empleado.\n */\n const exactIndexes = new Set();\n\n for (const name of names) {\n for (\n const index of\n bambooSearch.exactAliasMap\n .get(name.normalized) || []\n ) {\n exactIndexes.add(index);\n }\n }\n\n if (exactIndexes.size === 1) {\n const index =\n exactIndexes.values()\n .next().value;\n\n const result = {\n found: true,\n matched_by: 'exact_name',\n confidence: 1,\n employee:\n bambooSearch.records[index]\n .employee,\n bank_name:\n names[0]?.raw || '',\n bamboo_alias:\n bambooSearch.records[index]\n .aliases[0]?.raw || '',\n };\n\n bambooMatchCache.set(\n cacheKey,\n result\n );\n\n return result;\n }\n\n const candidatesByEmployee =\n new Map();\n\n /*\n * La búsqueda ya no recorre todos los empleados.\n * Cada nombre consulta el índice invertido y solo compara\n * un máximo de 90 candidatos que comparten al menos dos palabras.\n */\n for (const name of names) {\n const candidateIndexes =\n candidateIndexesForName(\n name.normalized\n );\n\n for (const index of candidateIndexes) {\n const record =\n bambooSearch.records[index];\n\n let bestAliasMatch = null;\n let bestAlias = '';\n\n for (const alias of record.aliases) {\n const details =\n aliasMatchDetails(\n name.raw,\n alias\n );\n\n if (\n details &&\n (\n !bestAliasMatch ||\n details.score >\n bestAliasMatch.score\n )\n ) {\n bestAliasMatch = details;\n bestAlias = alias.raw;\n }\n }\n\n if (!bestAliasMatch) continue;\n\n const existing =\n candidatesByEmployee.get(index);\n\n const candidate = {\n index,\n employee: record.employee,\n score: bestAliasMatch.score,\n details: bestAliasMatch,\n bank_name: name.raw,\n bamboo_alias: bestAlias,\n informativeness:\n name.tokenCount,\n };\n\n if (\n !existing ||\n candidate.score >\n existing.score ||\n (\n candidate.score ===\n existing.score &&\n candidate.informativeness >\n existing.informativeness\n )\n ) {\n candidatesByEmployee.set(\n index,\n candidate\n );\n }\n }\n }\n\n const rankedCandidates =\n Array.from(\n candidatesByEmployee.values()\n ).sort((left, right) => {\n if (right.score !== left.score) {\n return right.score - left.score;\n }\n\n if (\n right.details.exactMatches !==\n left.details.exactMatches\n ) {\n return (\n right.details.exactMatches -\n left.details.exactMatches\n );\n }\n\n return (\n right.informativeness -\n left.informativeness\n );\n });\n\n const best =\n rankedCandidates[0] || null;\n\n const second =\n rankedCandidates[1] || null;\n\n const margin =\n best\n ? best.score -\n (second?.score || 0)\n : 0;\n\n const strongContainment =\n Boolean(\n best?.details?.containment &&\n best.details.exactMatches >= 2 &&\n (\n !second ||\n margin >= 0.035 ||\n best.details.exactMatches >\n second.details.exactMatches\n )\n );\n\n const strongPartial =\n Boolean(\n best &&\n !best.details.containment &&\n best.score >= 0.82 &&\n best.details.exactMatches >= 2 &&\n (\n !second ||\n margin >= 0.07\n )\n );\n\n let result;\n\n if (\n best &&\n (\n strongContainment ||\n strongPartial\n )\n ) {\n result = {\n found: true,\n matched_by:\n strongContainment\n ? 'unique_token_containment'\n : 'strong_indexed_name',\n confidence:\n Math.min(1, best.score),\n employee: best.employee,\n bank_name: best.bank_name,\n bamboo_alias:\n best.bamboo_alias,\n };\n } else {\n result = {\n found: false,\n matched_by: null,\n confidence:\n best?.score || 0,\n employee: null,\n ambiguous: Boolean(\n best &&\n second &&\n best.score >= 0.75 &&\n margin < 0.07\n ),\n best_candidate:\n best\n ? {\n employee:\n best.employee,\n score:\n best.score,\n bank_name:\n best.bank_name,\n bamboo_alias:\n best.bamboo_alias,\n }\n : null,\n };\n }\n\n bambooMatchCache.set(\n cacheKey,\n result\n );\n\n return result;\n}\n\nfunction supplementKey(supplement) {\n return [\n supplement.source_sheet || '',\n supplement.row_number || '',\n supplement.supplement_id || '',\n supplement.account || '',\n supplement.payroll_amount || 0,\n ].join('|');\n}\n\nconst payrollAccounts = (data.payroll?.grouped_by_account || [])\n .map((row) => ({\n ...row,\n group_key:\n row.group_key ||\n `${normalizeAccount(row.account)}:${row.currency || 'QTZ'}`,\n account: normalizeAccount(row.account),\n employee_name: row.employee_name || row.employee || '',\n employee_number: row.employee_number || row.employeeNumber || '',\n currency: row.currency || 'QTZ',\n payroll_amount: roundMoney(row.payroll_amount || row.payrollAmount),\n source_rows: Array.isArray(row.source_rows) ? [...row.source_rows] : [],\n source_sheets: Array.isArray(row.source_sheets)\n ? [...row.source_sheets]\n : [],\n }))\n .filter((row) => row.account && row.payroll_amount > 0);\n\nconst payrollNoAccountRows = (data.payroll?.no_account_rows || [])\n .map((row) => ({\n ...row,\n account: '',\n employee_name: row.employee_name || row.employee || '',\n employee_number: row.employee_number || row.employeeNumber || '',\n currency: row.currency || 'QTZ',\n payroll_amount: roundMoney(row.payroll_amount || row.payrollAmount),\n }))\n .filter((row) => row.payroll_amount > 0);\n\nconst bankAccounts = (data.bank?.grouped_by_account || [])\n .map((row) => ({\n ...row,\n group_key:\n row.group_key ||\n `ACCOUNT:${normalizeAccount(row.account)}:${row.currency || 'QTZ'}`,\n account: normalizeAccount(row.account),\n account_is_valid: Boolean(row.account_is_valid),\n currency: row.currency || 'QTZ',\n amount: roundMoney(row.amount || row.bank_amount || row.bankAmount),\n source_rows: Array.isArray(row.source_rows) ? [...row.source_rows] : [],\n }))\n .filter((row) => row.amount > 0);\n\nconst bambooEmployees = Array.isArray(data.bamboo?.employees)\n ? data.bamboo.employees\n : [];\n\nconst bambooValidationAvailable =\n data.bamboo?.fetch_complete === true &&\n data.bamboo?.validation_available === true &&\n bambooEmployees.length > 0;\n\nconst bambooValidationWarning =\n bambooValidationAvailable\n ? null\n : (\n data.errors?.find((error) =>\n String(error || '').toLowerCase().includes('bamboohr')\n ) ||\n 'La validación Banco sin Bamboo no estuvo disponible porque la descarga de empleados de BambooHR quedó incompleta.'\n );\n\nconst bambooSearch = buildBambooSearchIndex(\n bambooEmployees\n);\n\n/*\n * Equivalencias de identidad validadas manualmente por las revisoras.\n * Solo se aplican cuando el nombre detectado coincide EXACTAMENTE (ya\n * normalizado) con un alias activo y el empleado objetivo puede resolverse\n * de forma única en la descarga actual de BambooHR. Si existe cualquier\n * ambigüedad, el caso NO se oculta y continúa en Banco sin Bamboo.\n */\nfunction findValidatedAliasMatch(bankRow) {\n if (!validatedBambooAliases.length) return null;\n\n const sourceNames = new Set(\n bankRowNames(bankRow)\n .map((value) => normalizeName(value))\n .filter(Boolean)\n );\n\n if (!sourceNames.size) return null;\n\n const matchingAliases = validatedBambooAliases.filter((alias) => {\n if (!alias || alias.activo === false) return false;\n\n // Normalizamos el nombre ORIGINAL con las mismas reglas locales del\n // workflow. Así GT y TT conservan exactamente su tratamiento actual de\n // apóstrofes/guiones y no dependemos de cómo Supabase normalizó el texto.\n const source = normalizeName(\n alias.nombre_origen ||\n alias.nombre_origen_normalizado ||\n ''\n );\n\n if (!source || !sourceNames.has(source)) return false;\n\n // Si la validación humana se registró con una cuenta bancaria, exigimos\n // también esa cuenta exacta. Esto evita que dos personas con el mismo\n // nombre hereden una equivalencia incorrecta.\n const aliasAccount = normalizeAccount(alias.cuenta_bancaria || '');\n const currentAccount = normalizeAccount(bankRow.account || '');\n\n if (aliasAccount && aliasAccount !== currentAccount) return false;\n\n return true;\n });\n\n if (!matchingAliases.length) return null;\n\n const resolvedMatches = [];\n\n for (const alias of matchingAliases) {\n let resolvedIndex = null;\n let resolvedBy = '';\n\n const employeeNumber = normalizeAccount(\n alias.bamboo_employee_number || ''\n );\n\n if (employeeNumber.length >= 6) {\n const indexes =\n bambooSearch.employeeNumberMap.get(employeeNumber) || [];\n\n if (indexes.length === 1) {\n resolvedIndex = indexes[0];\n resolvedBy = 'validated_alias_employee_number';\n }\n }\n\n if (resolvedIndex === null) {\n const bambooId = String(\n alias.bamboo_employee_id || ''\n ).trim();\n\n if (bambooId) {\n const indexes = bambooSearch.records\n .map((record, index) => ({ record, index }))\n .filter(({ record }) =>\n String(\n record.employee?.bamboo_id ||\n record.employee?.employeeId ||\n record.employee?.id ||\n ''\n ).trim() === bambooId\n )\n .map(({ index }) => index);\n\n if (indexes.length === 1) {\n resolvedIndex = indexes[0];\n resolvedBy = 'validated_alias_bamboo_id';\n }\n }\n }\n\n if (resolvedIndex === null) {\n const bambooName = normalizeName(\n alias.bamboo_nombre || ''\n );\n\n if (bambooName) {\n const indexes =\n bambooSearch.exactAliasMap.get(bambooName) || [];\n\n if (indexes.length === 1) {\n resolvedIndex = indexes[0];\n resolvedBy = 'validated_alias_exact_bamboo_name';\n }\n }\n }\n\n if (resolvedIndex !== null) {\n resolvedMatches.push({\n index: resolvedIndex,\n alias,\n resolvedBy,\n });\n }\n }\n\n if (!resolvedMatches.length) return null;\n\n const employeeIndexes = Array.from(\n new Set(resolvedMatches.map((match) => match.index))\n );\n\n // Nunca suprimir un hallazgo si dos equivalencias apuntan a personas distintas.\n if (employeeIndexes.length !== 1) return null;\n\n const chosen = resolvedMatches.find(\n (match) => match.index === employeeIndexes[0]\n );\n const record = bambooSearch.records[employeeIndexes[0]];\n\n if (!chosen || !record?.employee) return null;\n\n return {\n found: true,\n matched_by: 'validated_bamboo_alias',\n confidence: 1,\n employee: record.employee,\n bank_name:\n bankRowNames(bankRow)[0] || '',\n bamboo_alias:\n chosen.alias.bamboo_nombre ||\n record.aliases?.[0]?.raw ||\n '',\n validated_alias_id:\n chosen.alias.id || '',\n validated_alias_resolution:\n chosen.resolvedBy,\n };\n}\n\n\nconst bankDetailRows = Array.isArray(data.bank?.rows)\n ? data.bank.rows\n : [];\n\nconst potentialSupplements = (\n data.payroll?.potential_supplements ||\n data.debug_payroll?.potential_supplements ||\n data.debug_payroll?.attached_supplements ||\n []\n)\n .map((row) => ({\n ...row,\n account: normalizeAccount(row.account),\n currency: row.currency || 'QTZ',\n payroll_amount: roundMoney(row.payroll_amount || row.payrollAmount),\n }))\n .filter((row) => {\n const id = normalizeName(row.supplement_id || '');\n\n return (\n row.account &&\n row.payroll_amount >= 10 &&\n !id.includes('back up')\n );\n });\n\nconst supplementsByAccountCurrency = new Map();\n\nfor (const supplement of potentialSupplements) {\n const key = `${supplement.account}:${supplement.currency}`;\n const current = supplementsByAccountCurrency.get(key) || [];\n\n current.push(supplement);\n supplementsByAccountCurrency.set(key, current);\n}\n\nfunction chooseConditionalSupplements(payroll, bank) {\n const baseAmount = roundMoney(payroll.payroll_amount);\n const bankAmount = roundMoney(bank.amount);\n const candidates =\n supplementsByAccountCurrency.get(\n `${payroll.account}:${payroll.currency}`\n ) || [];\n\n if (\n !candidates.length ||\n bankAmount <= baseAmount + 0.02\n ) {\n return {\n selected: [],\n effectiveAmount: baseAmount,\n baseAmount,\n improvement: 0,\n };\n }\n\n const baseDifference = Math.abs(baseAmount - bankAmount);\n let bestSelected = [];\n let bestAmount = baseAmount;\n let bestDifference = baseDifference;\n\n if (candidates.length <= 12) {\n const combinations = 1 << candidates.length;\n\n for (let mask = 1; mask < combinations; mask++) {\n const selected = [];\n let selectedTotal = 0;\n\n for (let index = 0; index < candidates.length; index++) {\n if ((mask & (1 << index)) !== 0) {\n selected.push(candidates[index]);\n selectedTotal = roundMoney(\n selectedTotal + candidates[index].payroll_amount\n );\n }\n }\n\n const candidateAmount = roundMoney(baseAmount + selectedTotal);\n const candidateDifference = Math.abs(\n candidateAmount - bankAmount\n );\n\n if (candidateDifference < bestDifference) {\n bestSelected = selected;\n bestAmount = candidateAmount;\n bestDifference = candidateDifference;\n }\n }\n } else {\n const sorted = [...candidates].sort(\n (a, b) => b.payroll_amount - a.payroll_amount\n );\n\n let runningAmount = baseAmount;\n const selected = [];\n\n for (const candidate of sorted) {\n const nextAmount = roundMoney(\n runningAmount + candidate.payroll_amount\n );\n\n if (\n Math.abs(nextAmount - bankAmount) <\n Math.abs(runningAmount - bankAmount)\n ) {\n selected.push(candidate);\n runningAmount = nextAmount;\n }\n }\n\n bestSelected = selected;\n bestAmount = runningAmount;\n bestDifference = Math.abs(bestAmount - bankAmount);\n }\n\n const improvement = roundMoney(\n baseDifference - bestDifference\n );\n\n // Evita sumar valores accidentales o inmateriales, como un \"Asignado\" de Q1.\n if (!bestSelected.length || improvement < 5) {\n return {\n selected: [],\n effectiveAmount: baseAmount,\n baseAmount,\n improvement: 0,\n };\n }\n\n return {\n selected: bestSelected,\n effectiveAmount: roundMoney(bestAmount),\n baseAmount,\n improvement,\n };\n}\n\nfunction getDirectCandidates(payroll, matchedBankKeys) {\n return bankAccounts\n .filter((bank) => {\n if (matchedBankKeys.has(bank.group_key)) return false;\n if (bank.currency !== payroll.currency) return false;\n\n const relationship = accountRelationship(\n payroll.account,\n bank.account\n );\n\n if (!relationship.matches) return false;\n\n // Un sufijo de referencia solamente es válido cuando el nombre también\n // corresponde a la misma persona.\n if (\n relationship.type === 'reference_prefix' &&\n !bankMatchesName(bank, payroll.employee_name)\n ) {\n return false;\n }\n\n return true;\n })\n .map((bank) => {\n const relationship = accountRelationship(\n payroll.account,\n bank.account\n );\n const supplementDecision =\n chooseConditionalSupplements(payroll, bank);\n\n return {\n bank,\n relationship,\n supplementDecision,\n nameMatches: bankMatchesName(bank, payroll.employee_name),\n };\n })\n .sort((a, b) => {\n const exactDifference =\n Number(b.relationship.type === 'exact') -\n Number(a.relationship.type === 'exact');\n\n if (exactDifference !== 0) return exactDifference;\n\n const nameDifference =\n Number(b.nameMatches) - Number(a.nameMatches);\n\n if (nameDifference !== 0) return nameDifference;\n\n return (\n Math.abs(\n a.supplementDecision.effectiveAmount - a.bank.amount\n ) -\n Math.abs(\n b.supplementDecision.effectiveAmount - b.bank.amount\n )\n );\n });\n}\n\nfunction buildSources(payroll, selectedSupplements) {\n const supplementRows = selectedSupplements.map((row) => ({\n source_sheet: row.source_sheet,\n row_number: row.row_number,\n amount: row.payroll_amount,\n supplement_original_name:\n row.supplement_original_name || row.employee_name || '',\n supplement_id: row.supplement_id || '',\n applied_conditionally: true,\n }));\n\n const sourceRows = [\n ...(payroll.source_rows || []),\n ...supplementRows,\n ];\n\n const sourceSheets = Array.from(new Set([\n ...(payroll.source_sheets || []),\n ...selectedSupplements\n .map((row) => row.source_sheet)\n .filter(Boolean),\n ]));\n\n return { sourceRows, sourceSheets };\n}\n\nconst matchedPayrollKeys = new Set();\nconst matchedBankKeys = new Set();\nconst matchedNoAccountIndexes = new Set();\nconst appliedSupplementKeys = new Set();\nconst appliedSupplements = [];\nconst finalExactReconciliations = [];\nconst rows = [];\n\nfunction registerSupplements(selected) {\n for (const supplement of selected || []) {\n const key = supplementKey(supplement);\n\n if (!appliedSupplementKeys.has(key)) {\n appliedSupplementKeys.add(key);\n appliedSupplements.push(supplement);\n }\n }\n}\n\n// 1) Cuenta exacta o referencia con prefijo, y monto conciliado.\nfor (const payroll of payrollAccounts) {\n const candidates = getDirectCandidates(\n payroll,\n matchedBankKeys\n ).filter((candidate) => {\n return moneyEquals(\n candidate.supplementDecision.effectiveAmount,\n candidate.bank.amount\n );\n });\n\n if (candidates.length !== 1) continue;\n\n const candidate = candidates[0];\n const bank = candidate.bank;\n const decision = candidate.supplementDecision;\n const sources = buildSources(payroll, decision.selected);\n\n matchedPayrollKeys.add(payroll.group_key);\n matchedBankKeys.add(bank.group_key);\n registerSupplements(decision.selected);\n\n rows.push({\n id: `match_${payroll.group_key}_${bank.group_key}`,\n employee: payroll.employee_name,\n employee_name: payroll.employee_name,\n employeeNumber: payroll.employee_number,\n employee_number: payroll.employee_number,\n account: payroll.account,\n payrollAccount: payroll.account,\n payroll_account: payroll.account,\n bankAccount: bank.account,\n bank_account: bank.account,\n currency: payroll.currency,\n payrollAmount: decision.effectiveAmount,\n payroll_amount: decision.effectiveAmount,\n payrollBaseAmount: decision.baseAmount,\n payroll_base_amount: decision.baseAmount,\n bankAmount: bank.amount,\n bank_amount: bank.amount,\n difference: 0,\n status: 'Coincidencia',\n category: 'coincidencia',\n subcategory:\n candidate.relationship.type === 'reference_prefix'\n ? 'referencia_bancaria_con_prefijo'\n : decision.selected.length\n ? 'cuenta_monto_y_suplemento_condicional'\n : 'cuenta_y_monto_coinciden',\n observation:\n candidate.relationship.type === 'reference_prefix'\n ? 'Conciliado por nombre, monto y referencia bancaria con prefijo.'\n : decision.selected.length\n ? 'Conciliado correctamente. Se aplicó un suplemento porque el banco mostró un pago adicional.'\n : 'Conciliado correctamente.',\n applied_supplements: decision.selected,\n source_sheets: sources.sourceSheets,\n source_rows: sources.sourceRows,\n bank_source_rows: bank.source_rows,\n });\n}\n\n// 2) Cuenta diferente, pero nombre y monto coinciden.\n// Se ejecuta antes de crear diferencias directas para resolver casos como\n// Ashly/Ashley Ramos: la cuenta de la nómina apunta a otra transacción,\n// pero existe otra cuenta bancaria con el mismo nombre y monto correcto.\nfor (const payroll of payrollAccounts) {\n if (matchedPayrollKeys.has(payroll.group_key)) continue;\n\n const candidates = bankAccounts\n .filter((bank) => {\n if (matchedBankKeys.has(bank.group_key)) return false;\n if (bank.currency !== payroll.currency) return false;\n if (!bankMatchesName(bank, payroll.employee_name)) return false;\n\n const decision = chooseConditionalSupplements(\n payroll,\n bank\n );\n\n return moneyEquals(\n decision.effectiveAmount,\n bank.amount\n );\n })\n .map((bank) => ({\n bank,\n supplementDecision: chooseConditionalSupplements(\n payroll,\n bank\n ),\n }));\n\n if (candidates.length !== 1) continue;\n\n const candidate = candidates[0];\n const bank = candidate.bank;\n const decision = candidate.supplementDecision;\n const relationship = accountRelationship(\n payroll.account,\n bank.account\n );\n\n // Las referencias con prefijo ya debieron resolverse en el paso 1.\n if (relationship.type === 'reference_prefix') continue;\n\n const sources = buildSources(payroll, decision.selected);\n\n matchedPayrollKeys.add(payroll.group_key);\n matchedBankKeys.add(bank.group_key);\n registerSupplements(decision.selected);\n\n rows.push({\n id: `possible_wrong_account_${payroll.group_key}_${bank.group_key}`,\n employee: payroll.employee_name || bestBankDisplayName(bank),\n employee_name:\n payroll.employee_name || bestBankDisplayName(bank),\n employeeNumber: payroll.employee_number,\n employee_number: payroll.employee_number,\n account: payroll.account,\n payrollAccount: payroll.account,\n payroll_account: payroll.account,\n bankAccount: bank.account,\n bank_account: bank.account,\n currency: payroll.currency,\n payrollAmount: decision.effectiveAmount,\n payroll_amount: decision.effectiveAmount,\n payrollBaseAmount: decision.baseAmount,\n payroll_base_amount: decision.baseAmount,\n bankAmount: bank.amount,\n bank_amount: bank.amount,\n difference: 0,\n status: 'Riesgo',\n category: 'posible_cuenta_mal_digitada',\n subcategory:\n 'nombre_y_monto_coinciden_cuenta_diferente',\n observation:\n `El nombre y el monto coinciden, pero la cuenta de nómina ` +\n `(${payroll.account || 'sin cuenta'}) es diferente a la cuenta ` +\n `del banco (${bank.account || 'sin cuenta válida'}).`,\n applied_supplements: decision.selected,\n source_sheets: sources.sourceSheets,\n source_rows: sources.sourceRows,\n bank_source_rows: bank.source_rows,\n });\n}\n\n// 3) Nómina sin cuenta válida: conciliar por nombre y monto.\nfor (\n let index = 0;\n index < payrollNoAccountRows.length;\n index++\n) {\n const payroll = payrollNoAccountRows[index];\n\n const candidates = bankAccounts.filter((bank) => {\n if (matchedBankKeys.has(bank.group_key)) return false;\n if (bank.currency !== payroll.currency) return false;\n if (!moneyEquals(bank.amount, payroll.payroll_amount)) {\n return false;\n }\n\n return bankMatchesName(bank, payroll.employee_name);\n });\n\n if (candidates.length !== 1) continue;\n\n const bank = candidates[0];\n\n matchedNoAccountIndexes.add(index);\n matchedBankKeys.add(bank.group_key);\n\n rows.push({\n id: `match_no_account_${index}_${bank.group_key}`,\n employee:\n payroll.employee_name || bestBankDisplayName(bank),\n employee_name:\n payroll.employee_name || bestBankDisplayName(bank),\n employeeNumber: payroll.employee_number,\n employee_number: payroll.employee_number,\n account: bank.account,\n payrollAccount: '',\n payroll_account: '',\n bankAccount: bank.account,\n bank_account: bank.account,\n currency: payroll.currency,\n payrollAmount: payroll.payroll_amount,\n payroll_amount: payroll.payroll_amount,\n bankAmount: bank.amount,\n bank_amount: bank.amount,\n difference: 0,\n status: 'Coincidencia',\n category: 'coincidencia',\n subcategory:\n 'conciliado_por_nombre_y_monto_sin_cuenta_nomina',\n observation:\n 'Conciliado por nombre y monto. La nómina no tenía una cuenta bancaria válida.',\n source_sheet: payroll.source_sheet,\n row_number: payroll.row_number,\n bank_source_rows: bank.source_rows,\n });\n}\n\n// 4) Diferencias reales en una cuenta exacta o equivalente.\nfor (const payroll of payrollAccounts) {\n if (matchedPayrollKeys.has(payroll.group_key)) continue;\n\n const candidates = getDirectCandidates(\n payroll,\n matchedBankKeys\n );\n\n if (!candidates.length) continue;\n\n const candidate = candidates[0];\n const bank = candidate.bank;\n const decision = candidate.supplementDecision;\n const sources = buildSources(payroll, decision.selected);\n const difference = moneyDiff(\n decision.effectiveAmount,\n bank.amount\n );\n\n matchedPayrollKeys.add(payroll.group_key);\n matchedBankKeys.add(bank.group_key);\n registerSupplements(decision.selected);\n\n rows.push({\n id: `difference_${payroll.group_key}_${bank.group_key}`,\n employee: payroll.employee_name,\n employee_name: payroll.employee_name,\n employeeNumber: payroll.employee_number,\n employee_number: payroll.employee_number,\n account: payroll.account,\n payrollAccount: payroll.account,\n payroll_account: payroll.account,\n bankAccount: bank.account,\n bank_account: bank.account,\n currency: payroll.currency,\n payrollAmount: decision.effectiveAmount,\n payroll_amount: decision.effectiveAmount,\n payrollBaseAmount: decision.baseAmount,\n payroll_base_amount: decision.baseAmount,\n bankAmount: bank.amount,\n bank_amount: bank.amount,\n difference,\n status: 'Riesgo',\n category: 'discrepancia',\n subcategory: 'diferencia_monto',\n observation:\n `Diferencia de ${payroll.currency} ` +\n `${formatMoney(difference)}.`,\n applied_supplements: decision.selected,\n source_sheets: sources.sourceSheets,\n source_rows: sources.sourceRows,\n bank_source_rows: bank.source_rows,\n });\n}\n\n\n// 4.5) Reconciliación final exacta de pares residuales.\n//\n// Este paso corrige casos en los que nómina y banco contienen:\n// - la misma cuenta normalizada;\n// - el mismo empleado;\n// - el mismo monto;\n// pero no fueron enlazados en los pasos anteriores por diferencias técnicas\n// de agrupación, moneda inferida o metadatos del CSV.\n//\n// Es deliberadamente conservador: exige una única contraparte bancaria.\nfor (const payroll of payrollAccounts) {\n if (matchedPayrollKeys.has(payroll.group_key)) continue;\n\n const candidates = bankAccounts\n .filter((bank) => {\n if (matchedBankKeys.has(bank.group_key)) return false;\n\n const payrollAccount = normalizeAccount(payroll.account);\n const bankAccount = normalizeAccount(bank.account);\n\n if (!payrollAccount || payrollAccount !== bankAccount) {\n return false;\n }\n\n if (!bankMatchesName(bank, payroll.employee_name)) {\n return false;\n }\n\n const decision = chooseConditionalSupplements(payroll, bank);\n\n return moneyEquals(\n decision.effectiveAmount,\n bank.amount\n );\n })\n .map((bank) => ({\n bank,\n supplementDecision: chooseConditionalSupplements(\n payroll,\n bank\n ),\n }));\n\n if (candidates.length !== 1) continue;\n\n const candidate = candidates[0];\n const bank = candidate.bank;\n const decision = candidate.supplementDecision;\n const sources = buildSources(\n payroll,\n decision.selected\n );\n\n matchedPayrollKeys.add(payroll.group_key);\n matchedBankKeys.add(bank.group_key);\n registerSupplements(decision.selected);\n\n finalExactReconciliations.push({\n employee_name: payroll.employee_name,\n employee_number: payroll.employee_number,\n account: payroll.account,\n payroll_currency: payroll.currency,\n bank_currency: bank.currency,\n payroll_amount: decision.effectiveAmount,\n bank_amount: bank.amount,\n payroll_group_key: payroll.group_key,\n bank_group_key: bank.group_key,\n });\n\n rows.push({\n id: `final_exact_match_${payroll.group_key}_${bank.group_key}`,\n employee: payroll.employee_name,\n employee_name: payroll.employee_name,\n employeeNumber: payroll.employee_number,\n employee_number: payroll.employee_number,\n account: payroll.account,\n payrollAccount: payroll.account,\n payroll_account: payroll.account,\n bankAccount: bank.account,\n bank_account: bank.account,\n currency: bank.currency || payroll.currency,\n payrollAmount: decision.effectiveAmount,\n payroll_amount: decision.effectiveAmount,\n payrollBaseAmount: decision.baseAmount,\n payroll_base_amount: decision.baseAmount,\n bankAmount: bank.amount,\n bank_amount: bank.amount,\n difference: 0,\n status: 'Coincidencia',\n category: 'coincidencia',\n subcategory: 'reconciliacion_final_cuenta_nombre_monto',\n observation:\n 'Conciliado por cuenta, nombre y monto en la validación final.',\n applied_supplements: decision.selected,\n source_sheets: sources.sourceSheets,\n source_rows: sources.sourceRows,\n bank_source_rows: bank.source_rows,\n });\n}\n\n// 5) Nómina con cuenta sin pago bancario.\nfor (const payroll of payrollAccounts) {\n if (matchedPayrollKeys.has(payroll.group_key)) continue;\n\n rows.push({\n id: `payroll_without_bank_${payroll.group_key}`,\n employee: payroll.employee_name,\n employee_name: payroll.employee_name,\n employeeNumber: payroll.employee_number,\n employee_number: payroll.employee_number,\n account: payroll.account,\n payrollAccount: payroll.account,\n payroll_account: payroll.account,\n bankAccount: '',\n bank_account: '',\n currency: payroll.currency,\n payrollAmount: payroll.payroll_amount,\n payroll_amount: payroll.payroll_amount,\n payrollBaseAmount: payroll.payroll_amount,\n payroll_base_amount: payroll.payroll_amount,\n bankAmount: 0,\n bank_amount: 0,\n difference: payroll.payroll_amount,\n status: 'Riesgo',\n category: 'discrepancia',\n subcategory: 'nomina_con_cuenta_sin_pago_banco',\n observation:\n 'Está en nómina, pero no aparece pagado en el banco.',\n applied_supplements: [],\n source_sheets: payroll.source_sheets,\n source_rows: payroll.source_rows,\n });\n}\n\n// 6) Banco sin nómina.\nfor (const bank of bankAccounts) {\n if (matchedBankKeys.has(bank.group_key)) continue;\n\n rows.push({\n id: `bank_without_payroll_${bank.group_key}`,\n employee:\n bestBankDisplayName(bank) || 'Pago bancario sin nómina',\n employee_name:\n bestBankDisplayName(bank) || 'Pago bancario sin nómina',\n employeeNumber: '',\n employee_number: '',\n account: bank.account,\n payrollAccount: '',\n payroll_account: '',\n bankAccount: bank.account,\n bank_account: bank.account,\n currency: bank.currency,\n payrollAmount: 0,\n payroll_amount: 0,\n bankAmount: bank.amount,\n bank_amount: bank.amount,\n difference: roundMoney(0 - bank.amount),\n status: 'Pendiente revisión',\n category: 'banco_sin_nomina',\n subcategory: 'pago_banco_sin_fila_nomina',\n observation:\n 'Recibió un pago en el banco, pero no aparece en la nómina cargada.',\n bank_source_rows: bank.source_rows,\n });\n}\n\n// 7) Nómina sin cuenta que no pudo conciliarse.\nfor (\n let index = 0;\n index < payrollNoAccountRows.length;\n index++\n) {\n if (matchedNoAccountIndexes.has(index)) continue;\n\n const payroll = payrollNoAccountRows[index];\n\n rows.push({\n id:\n `payroll_without_account_` +\n `${payroll.source_sheet}_${payroll.row_number}`,\n employee: payroll.employee_name,\n employee_name: payroll.employee_name,\n employeeNumber: payroll.employee_number,\n employee_number: payroll.employee_number,\n account: '',\n payrollAccount: '',\n payroll_account: '',\n bankAccount: '',\n bank_account: '',\n currency: payroll.currency,\n payrollAmount: payroll.payroll_amount,\n payroll_amount: payroll.payroll_amount,\n bankAmount: 0,\n bank_amount: 0,\n difference: payroll.payroll_amount,\n status: 'Pendiente revisión',\n category: 'nomina_sin_cuenta',\n subcategory: 'nomina_sin_cuenta_bancaria',\n observation:\n 'Tiene monto en nómina, pero no tiene una cuenta bancaria válida para cruzar contra el banco.',\n source_sheet: payroll.source_sheet,\n row_number: payroll.row_number,\n });\n}\n\n// 8) Consolidar el mismo empleado cuando aparece con dos cuentas de nómina.\nconst originalRows = [...rows];\nconst usedRowIds = new Set();\nconst consolidatedRows = [];\n\nfor (const differenceRow of originalRows) {\n if (\n differenceRow.category !== 'discrepancia' ||\n differenceRow.subcategory !== 'diferencia_monto' ||\n usedRowIds.has(differenceRow.id)\n ) {\n continue;\n }\n\n const extraPayrollRow = originalRows.find((candidate) => {\n if (\n candidate.id === differenceRow.id ||\n usedRowIds.has(candidate.id) ||\n candidate.subcategory !==\n 'nomina_con_cuenta_sin_pago_banco' ||\n candidate.currency !== differenceRow.currency\n ) {\n return false;\n }\n\n const samePerson = samePersonName(\n differenceRow.employee_name || differenceRow.employee,\n candidate.employee_name || candidate.employee\n );\n\n const similarAccounts =\n accountDistance(\n differenceRow.account,\n candidate.account\n ) <= 2;\n\n const combinedPayroll = roundMoney(\n differenceRow.payroll_amount +\n candidate.payroll_amount\n );\n\n const totalMatches = moneyEquals(\n combinedPayroll,\n differenceRow.bank_amount\n );\n\n return samePerson && similarAccounts && totalMatches;\n });\n\n if (!extraPayrollRow) continue;\n\n usedRowIds.add(differenceRow.id);\n usedRowIds.add(extraPayrollRow.id);\n\n const totalPayroll = roundMoney(\n differenceRow.payroll_amount +\n extraPayrollRow.payroll_amount\n );\n\n const accounts = Array.from(new Set([\n differenceRow.account,\n extraPayrollRow.account,\n ].filter(Boolean)));\n\n consolidatedRows.push({\n id:\n `split_account_` +\n `${differenceRow.account}_${extraPayrollRow.account}`,\n employee: differenceRow.employee_name,\n employee_name: differenceRow.employee_name,\n employeeNumber:\n differenceRow.employee_number ||\n extraPayrollRow.employee_number ||\n '',\n employee_number:\n differenceRow.employee_number ||\n extraPayrollRow.employee_number ||\n '',\n account:\n differenceRow.bank_account ||\n differenceRow.account,\n payrollAccount: accounts.join(' / '),\n payroll_account: accounts.join(' / '),\n bankAccount: differenceRow.bank_account,\n bank_account: differenceRow.bank_account,\n currency: differenceRow.currency,\n payrollAmount: totalPayroll,\n payroll_amount: totalPayroll,\n bankAmount: differenceRow.bank_amount,\n bank_amount: differenceRow.bank_amount,\n difference: moneyDiff(\n totalPayroll,\n differenceRow.bank_amount\n ),\n status: 'Riesgo',\n category: 'posible_cuenta_mal_digitada',\n subcategory:\n 'mismo_empleado_con_cuentas_distintas_en_nomina',\n observation:\n `El total de nómina coincide con el banco, pero el empleado ` +\n `aparece con cuentas distintas en la nómina: ` +\n `${accounts.join(' y ')}. La cuenta utilizada por el banco ` +\n `fue ${differenceRow.bank_account}.`,\n applied_supplements:\n differenceRow.applied_supplements || [],\n source_sheets: Array.from(new Set([\n ...(differenceRow.source_sheets || []),\n ...(extraPayrollRow.source_sheets || []),\n ])),\n source_rows: [\n ...(differenceRow.source_rows || []),\n ...(extraPayrollRow.source_rows || []),\n ],\n bank_source_rows:\n differenceRow.bank_source_rows || [],\n });\n}\n\nconst coreRows = [\n ...originalRows.filter(\n (row) => !usedRowIds.has(row.id)\n ),\n ...consolidatedRows,\n];\n\nconst coreCoincidencias = coreRows.filter(\n (row) => row.category === 'coincidencia'\n).length;\n\nconst coreDiscrepancias = coreRows.filter((row) => {\n return (\n row.category === 'discrepancia' ||\n row.category === 'posible_cuenta_mal_digitada'\n );\n}).length;\n\nconst coreBancoSinNomina = coreRows.filter(\n (row) => row.category === 'banco_sin_nomina'\n).length;\n\nconst coreNominaSinCuenta = coreRows.filter(\n (row) => row.category === 'nomina_sin_cuenta'\n).length;\n\nconst corePosiblesCuentas = coreRows.filter(\n (row) => row.category === 'posible_cuenta_mal_digitada'\n).length;\n\nconst linkedPayrollNamesByBankRow = new Map();\nconst linkedPayrollNumbersByBankRow = new Map();\n\nfor (const reconciliationRow of coreRows) {\n const linkedName =\n reconciliationRow.employee_name ||\n reconciliationRow.employee ||\n '';\n const linkedEmployeeNumber = normalizeAccount(\n reconciliationRow.employee_number ||\n reconciliationRow.employeeNumber ||\n ''\n );\n\n for (\n const bankSourceRow of\n reconciliationRow.bank_source_rows || []\n ) {\n const rowKey = bankRowKey(bankSourceRow);\n\n const names =\n linkedPayrollNamesByBankRow.get(rowKey) || [];\n const numbers =\n linkedPayrollNumbersByBankRow.get(rowKey) || [];\n\n if (linkedName) names.push(linkedName);\n if (linkedEmployeeNumber.length >= 6) {\n numbers.push(linkedEmployeeNumber);\n }\n\n linkedPayrollNamesByBankRow.set(\n rowKey,\n Array.from(new Set(names))\n );\n linkedPayrollNumbersByBankRow.set(\n rowKey,\n Array.from(new Set(numbers))\n );\n }\n}\n\nconst bambooMatchDetails = [];\nconst bambooExcludedPayments = [];\nconst bankWithoutBambooMap = new Map();\n\nif (bambooValidationAvailable) {\nfor (const bankRow of bankDetailRows) {\n if (isClearlyNonEmployeePayment(bankRow)) {\n bambooExcludedPayments.push({\n source_file: bankRow.source_file,\n row_number: bankRow.row_number,\n reason: 'pago_no_empleado_identificado',\n bank_name_file: bankRow.bank_name_file,\n bank_account_holder:\n bankRow.bank_account_holder,\n amount: bankRow.amount,\n currency: bankRow.currency,\n });\n continue;\n }\n\n const validatedAliasMatch =\n findValidatedAliasMatch(bankRow);\n\n const match =\n validatedAliasMatch ||\n findBambooMatch(bankRow);\n\n if (match.found) {\n bambooMatchDetails.push({\n source_file: bankRow.source_file,\n row_number: bankRow.row_number,\n account: bankRow.account,\n amount: bankRow.amount,\n currency: bankRow.currency,\n bank_name_file: bankRow.bank_name_file,\n bank_account_holder:\n bankRow.bank_account_holder,\n matched_by: match.matched_by,\n confidence: roundMoney(match.confidence),\n validated_alias_id:\n match.validated_alias_id || '',\n validated_alias_resolution:\n match.validated_alias_resolution || '',\n bamboo_employee_number:\n match.employee?.employee_number || '',\n bamboo_employee_name:\n match.employee?.full_name || '',\n bamboo_status:\n match.employee?.status || '',\n bamboo_overlaps_period:\n Boolean(match.employee?.overlaps_period),\n });\n continue;\n }\n\n const displayName =\n bankRow.bank_name_file ||\n bankRow.bank_account_holder ||\n 'Pago bancario sin empleado identificado';\n\n const groupingKey = [\n normalizeAccount(bankRow.account),\n normalizeName(displayName),\n bankRow.currency || 'QTZ',\n ].join('|');\n\n const current =\n bankWithoutBambooMap.get(groupingKey) || {\n id: `bank_without_bamboo_${groupingKey}`,\n employee: displayName,\n employee_name: displayName,\n bank_name_file:\n bankRow.bank_name_file || '',\n bank_account_holder:\n bankRow.bank_account_holder || '',\n account: normalizeAccount(bankRow.account),\n bankAccount: normalizeAccount(bankRow.account),\n bank_account: normalizeAccount(bankRow.account),\n currency: bankRow.currency || 'QTZ',\n bankAmount: 0,\n bank_amount: 0,\n shipment_numbers: new Set(),\n references: new Set(),\n source_files: new Set(),\n source_rows: [],\n status: 'Pendiente revisión',\n category: 'banco_sin_bamboo',\n subcategory:\n 'pago_bancario_sin_empleado_bamboohr_gt',\n observation:\n 'Se encontró un pago en el banco, pero no se encontró una coincidencia confiable con un empleado de Guatemala en BambooHR.',\n best_bamboo_candidate:\n match.best_candidate\n ? {\n employee_number:\n match.best_candidate.employee\n ?.employee_number || '',\n employee_name:\n match.best_candidate.employee\n ?.full_name || '',\n score: roundMoney(\n match.best_candidate.score\n ),\n }\n : null,\n ambiguous_bamboo_match:\n Boolean(match.ambiguous),\n };\n\n current.bankAmount = roundMoney(\n current.bankAmount +\n Number(bankRow.amount || 0)\n );\n current.bank_amount = current.bankAmount;\n\n if (bankRow.shipment_number) {\n current.shipment_numbers.add(\n bankRow.shipment_number\n );\n }\n\n if (bankRow.reference) {\n current.references.add(bankRow.reference);\n }\n\n if (bankRow.source_file) {\n current.source_files.add(\n bankRow.source_file\n );\n }\n\n current.source_rows.push(bankRow);\n bankWithoutBambooMap.set(\n groupingKey,\n current\n );\n}\n}\n\nconst bankWithoutBamboo = Array.from(\n bankWithoutBambooMap.values()\n).map((row) => ({\n ...row,\n shipment_numbers: Array.from(\n row.shipment_numbers\n ),\n references: Array.from(row.references),\n source_files: Array.from(row.source_files),\n difference: roundMoney(\n 0 - row.bank_amount\n ),\n}));\n\nconst nameDifferenceRows = (\n data.bank?.name_differences || []\n).map((row) => ({\n id: row.id,\n employee: row.bank_name_file,\n employee_name: row.bank_name_file,\n employeeNumber: '',\n employee_number: '',\n account: row.account,\n payrollAccount: '',\n payroll_account: '',\n bankAccount: row.account,\n bank_account: row.account,\n currency: row.currency || 'QTZ',\n payrollAmount: 0,\n payroll_amount: 0,\n bankAmount: row.amount,\n bank_amount: row.amount,\n difference: 0,\n status: 'Pendiente revisión',\n category: 'diferencia_nombre_banco',\n subcategory: 'nombre_archivo_vs_cuentahabiente',\n observation: row.observation,\n bank_name_file: row.bank_name_file,\n bank_account_holder: row.bank_account_holder,\n source_file: row.source_file,\n shipment_number: row.shipment_number,\n plan_number: row.plan_number,\n reference: row.reference,\n row_number: row.row_number,\n}));\n\nfunction priority(row) {\n const category = String(\n row.category || ''\n ).toLowerCase();\n\n if (category === 'posible_cuenta_mal_digitada') return 1;\n if (category === 'discrepancia') return 2;\n if (category === 'banco_sin_nomina') return 3;\n if (category === 'nomina_sin_cuenta') return 4;\n if (category === 'diferencia_nombre_banco') return 5;\n if (category === 'coincidencia') return 99;\n\n return 50;\n}\n\nconst rowsFinales = [\n ...coreRows,\n ...nameDifferenceRows,\n].sort((a, b) => {\n const priorityDifference =\n priority(a) - priority(b);\n\n if (priorityDifference !== 0) {\n return priorityDifference;\n }\n\n return String(\n a.employee_name || ''\n ).localeCompare(\n String(b.employee_name || ''),\n 'es'\n );\n});\n\nconst appliedSupplementsTotal = roundMoney(\n appliedSupplements.reduce(\n (sum, row) => sum + row.payroll_amount,\n 0\n )\n);\n\nconst totalNominaBase = roundMoney(\n data.payroll?.total_amount || 0\n);\n\nconst totalNomina = roundMoney(\n totalNominaBase + appliedSupplementsTotal\n);\n\nconst totalBanco = roundMoney(\n data.bank?.total_amount || 0\n);\n\nconst diferenciasNombreBanco =\n nameDifferenceRows.length;\n\nconst pendientes =\n coreDiscrepancias +\n coreBancoSinNomina +\n coreNominaSinCuenta +\n diferenciasNombreBanco;\n\nconst unusedPotentialSupplements =\n potentialSupplements.filter((row) => {\n return !appliedSupplementKeys.has(\n supplementKey(row)\n );\n });\n\nconst bambooSummaryCompact = {\n ...(data.bamboo || {}),\n};\n\n/*\n * El arreglo completo de empleados solo se necesita dentro de este nodo.\n * No se reenvía a Google Sheets, Supabase ni al webhook para evitar cargar\n * cerca de 1 MB innecesario en todos los nodos posteriores.\n */\ndelete bambooSummaryCompact.employees;\n\nreturn [\n {\n json: {\n ok: true,\n stage: 'cruce_nomina_completa_banco_condicional',\n errors: [],\n metadata: data.metadata || {},\n summary: {\n coincidencias: coreCoincidencias,\n discrepancias: coreDiscrepancias,\n bancoSinNomina: coreBancoSinNomina,\n bancoSinBamboo: bankWithoutBamboo.length,\n nominaSinCuenta: coreNominaSinCuenta,\n diferenciasNombreBanco,\n posiblesCuentasMalDigitadas:\n corePosiblesCuentas,\n pendientes,\n filasNominaValidas:\n data.payroll?.valid_rows_count || 0,\n filasNominaSinCuenta:\n data.payroll?.no_account_rows_count || 0,\n suplementosPotenciales:\n potentialSupplements.length,\n suplementosNominaAplicados:\n appliedSupplements.length,\n suplementosNominaNoAplicados:\n unusedPotentialSupplements.length,\n suplementosNominaAdjuntados:\n appliedSupplements.length,\n suplementosNominaNoAdjuntados:\n data.payroll?.unattached_supplements_count || 0,\n reconciliacionesExactasFinales:\n finalExactReconciliations.length,\n cuentasNominaAgrupadas:\n payrollAccounts.length,\n transaccionesBanco:\n data.bank?.rows_count || 0,\n cuentasBancoAgrupadas:\n bankAccounts.length,\n empleadosBambooGT:\n bambooEmployees.length,\n empleadosBambooEnPeriodo:\n Number(\n data.bamboo?.active_in_period_count || 0\n ),\n bambooPaginasDescargadas:\n Number(\n data.bamboo?.pages_fetched || 0\n ),\n bambooEmpleadosEsperados:\n Number(\n data.bamboo?.expected_total || 0\n ),\n bambooDescargaCompleta:\n Boolean(\n data.bamboo?.fetch_complete\n ),\n bambooValidacionDisponible:\n bambooValidationAvailable,\n totalNominaBase,\n totalSuplementosAplicados:\n appliedSupplementsTotal,\n totalNomina,\n totalBanco,\n diferenciaTotal:\n moneyDiff(totalNomina, totalBanco),\n },\n rows: rowsFinales,\n bankWithoutBamboo,\n nameDifferences: nameDifferenceRows,\n bambooSummary: bambooSummaryCompact,\n reportUrl: null,\n debug: {\n sheet_summaries:\n data.payroll?.sheet_summaries || [],\n potential_supplements:\n potentialSupplements,\n applied_supplements:\n appliedSupplements,\n final_exact_reconciliations:\n finalExactReconciliations,\n bamboo_search:\n {\n employees_indexed:\n bambooSearch.records.length,\n exact_aliases:\n bambooSearch.exactAliasMap.size,\n indexed_tokens:\n bambooSearch.tokenIndex.size,\n cache_entries:\n bambooMatchCache.size,\n },\n validated_bamboo_aliases_loaded:\n validatedBambooAliases.length,\n validated_bamboo_alias_matches:\n bambooMatchDetails.filter(\n (match) => match.matched_by === 'validated_bamboo_alias'\n ).length,\n bamboo_matches:\n bambooMatchDetails,\n bamboo_excluded_payments:\n bambooExcludedPayments,\n bamboo_validation_available:\n bambooValidationAvailable,\n bamboo_validation_warning:\n bambooValidationWarning,\n banco_sin_bamboo:\n bankWithoutBamboo,\n unused_potential_supplements:\n unusedPotentialSupplements,\n unattached_supplements:\n data.debug_payroll?.unattached_supplements || [],\n payroll_preview:\n payrollAccounts.slice(0, 10),\n bank_preview:\n bankAccounts.slice(0, 10),\n payroll_no_account_preview:\n payrollNoAccountRows.slice(0, 10),\n },\n },\n },\n];" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ - 21696, - 26512 + 45200, + 55248 ], - "id": "a9aeea33-6818-40c1-9eb9-b6a3521a4f66", + "id": "771cf196-8f95-452f-be1c-4d0271ee91d5", "name": "Cruzar Nómina vs Banco" }, { @@ -115,10 +115,10 @@ "type": "n8n-nodes-base.extractFromFile", "typeVersion": 1.1, "position": [ - 15648, - 25344 + 38720, + 54240 ], - "id": "3e169c34-36e6-40d2-9751-4d3efdcf8c08", + "id": "d34bdf63-1526-41b4-8204-7617a9db9075", "name": "Extract - Nomina General", "retryOnFail": false }, @@ -134,10 +134,10 @@ "type": "n8n-nodes-base.extractFromFile", "typeVersion": 1.1, "position": [ - 15648, - 25584 + 38720, + 54480 ], - "id": "c30318b3-98e8-44bf-8c0b-315f8a54f1e8", + "id": "cf1d32a2-734b-4026-8699-4cedc52bd9ca", "name": "Extract - Temporales", "retryOnFail": false, "onError": "continueRegularOutput" @@ -154,10 +154,10 @@ "type": "n8n-nodes-base.extractFromFile", "typeVersion": 1.1, "position": [ - 15648, - 25824 + 38720, + 54720 ], - "id": "b7b0d02e-7e91-428e-aecd-3a8a08e77175", + "id": "608dcc67-5c91-4d6e-9408-7864ecd4a79f", "name": "Extract - Auditorias", "retryOnFail": false, "onError": "continueRegularOutput" @@ -174,10 +174,10 @@ "type": "n8n-nodes-base.extractFromFile", "typeVersion": 1.1, "position": [ - 15664, - 26016 + 38736, + 54912 ], - "id": "cdfb15a2-d9d0-4544-80e1-e798e42e796f", + "id": "11056e67-619b-432b-96eb-bf5b61f298aa", "name": "Extract - Bono Mariana", "retryOnFail": false, "onError": "continueRegularOutput" @@ -194,10 +194,10 @@ "type": "n8n-nodes-base.extractFromFile", "typeVersion": 1.1, "position": [ - 15664, - 26224 + 38736, + 55120 ], - "id": "12b2497a-642d-4f4a-b32c-d4faa535f565", + "id": "1152c02e-f792-4406-86c4-49ef8eb8518b", "name": "Extract - Movilidad WP", "retryOnFail": false, "onError": "continueRegularOutput" @@ -214,10 +214,10 @@ "type": "n8n-nodes-base.extractFromFile", "typeVersion": 1.1, "position": [ - 15664, - 26432 + 38736, + 55328 ], - "id": "d33f7284-0947-44ad-8a03-47a0b8bb4122", + "id": "1948c7f9-8f21-4621-bc9b-e368cf364f9f", "name": "Extract - Viaticos PMI", "retryOnFail": false, "onError": "continueRegularOutput" @@ -234,10 +234,10 @@ "type": "n8n-nodes-base.extractFromFile", "typeVersion": 1.1, "position": [ - 15680, - 26768 + 38752, + 55664 ], - "id": "5b82536d-1e30-4fdf-9812-b2f93e8a19c9", + "id": "5a18e43b-2c6e-47a9-a857-bd0b457e7086", "name": "Extract - Combustible Purina", "retryOnFail": false, "onError": "continueRegularOutput" @@ -254,10 +254,10 @@ "type": "n8n-nodes-base.extractFromFile", "typeVersion": 1.1, "position": [ - 15664, - 27104 + 38736, + 56000 ], - "id": "fc8edacd-6084-42b1-8aa1-cbd18e96bf1b", + "id": "24169057-6981-4d29-b197-6379375a7292", "name": "Extract - Combustible PG", "retryOnFail": false, "onError": "continueRegularOutput" @@ -274,10 +274,10 @@ "type": "n8n-nodes-base.extractFromFile", "typeVersion": 1.1, "position": [ - 15664, - 27392 + 38736, + 56288 ], - "id": "ee4ee831-169e-4d33-88be-4d0d704ec095", + "id": "a3c6dca4-1fb3-4139-af79-e8e10529d2df", "name": "Extract - Combustibles Liquidables", "retryOnFail": false, "onError": "continueRegularOutput" @@ -289,10 +289,10 @@ "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ - 19872, - 27120 + 42944, + 56016 ], - "id": "44044451-fb64-44a9-8cd0-109b64855806", + "id": "c461d80c-0d1b-45df-a03c-7e6b625c6e21", "name": "Normalizar Nómina Completa" }, { @@ -300,10 +300,10 @@ "type": "n8n-nodes-base.merge", "typeVersion": 3.2, "position": [ - 16672, - 25648 + 39744, + 54544 ], - "id": "5e8d1212-8780-40c0-ac54-eb65141bd71f", + "id": "a5e2c2d5-c672-497b-b30c-6b07f887df20", "name": "Merge Hojas 01-02" }, { @@ -311,10 +311,10 @@ "type": "n8n-nodes-base.merge", "typeVersion": 3.2, "position": [ - 16864, - 25856 + 39936, + 54752 ], - "id": "fabe0277-9275-4bb9-a4e4-606fc7e7a6ad", + "id": "52bafc33-b839-4aba-a68f-901ae2e374a3", "name": "Merge Hojas 03" }, { @@ -322,10 +322,10 @@ "type": "n8n-nodes-base.merge", "typeVersion": 3.2, "position": [ - 17152, - 25984 + 40224, + 54880 ], - "id": "9730a653-c2b3-49bf-890f-56f2a6ba2567", + "id": "66e53846-6cf7-48a2-8901-451a83349c36", "name": "Merge Hojas 04" }, { @@ -333,10 +333,10 @@ "type": "n8n-nodes-base.merge", "typeVersion": 3.2, "position": [ - 17568, - 26112 + 40640, + 55008 ], - "id": "e1672eb2-31e0-4040-9971-c3eb99972e3f", + "id": "98365544-d640-4ee3-8423-03640555c3a6", "name": "Merge Hojas 05" }, { @@ -344,10 +344,10 @@ "type": "n8n-nodes-base.merge", "typeVersion": 3.2, "position": [ - 17872, - 26256 + 40944, + 55152 ], - "id": "2906d58d-35b0-4112-a709-8b3097fd2537", + "id": "7b6a815c-1b41-419b-8a13-dc20d89c03e7", "name": "Merge Hojas 06" }, { @@ -355,10 +355,10 @@ "type": "n8n-nodes-base.merge", "typeVersion": 3.2, "position": [ - 18208, - 26528 + 41280, + 55424 ], - "id": "2b809028-6720-49c0-9a9c-f14cffa78c14", + "id": "eb39f34e-5ca2-434d-b78a-7e4a5332bf53", "name": "Merge Hojas 07" }, { @@ -366,10 +366,10 @@ "type": "n8n-nodes-base.merge", "typeVersion": 3.2, "position": [ - 18464, - 26656 + 41536, + 55552 ], - "id": "652101ad-34b6-4893-8e83-683ad7e78fd4", + "id": "c0ebebe3-462f-478d-8b5f-7f7e38c240fc", "name": "Merge Hojas 08" }, { @@ -377,10 +377,10 @@ "type": "n8n-nodes-base.merge", "typeVersion": 3.2, "position": [ - 18768, - 27040 + 41840, + 55936 ], - "id": "3af433bb-32fe-4c06-bea7-d00e9fea9c95", + "id": "76deacd7-c337-45c6-a6de-81e11dd67f8b", "name": "Merge Hojas 09" }, { @@ -395,10 +395,10 @@ "type": "n8n-nodes-base.extractFromFile", "typeVersion": 1.1, "position": [ - 15664, - 27648 + 38736, + 56544 ], - "id": "f8d6e3d6-7448-4a54-99e6-eec7f4fdec7b", + "id": "f39de2bc-a555-4bb9-b18d-1287cc5bd757", "name": "Extract - Mot Variable Abril", "retryOnFail": false, "onError": "continueRegularOutput" @@ -408,43 +408,43 @@ "type": "n8n-nodes-base.merge", "typeVersion": 3.2, "position": [ - 19072, - 27152 + 42144, + 56048 ], - "id": "4672d0c6-3116-42b5-b1f3-d7807b5313e1", + "id": "8d8e120d-4982-48c0-bb9a-3a4b1f6f3835", "name": "Merge Hojas " }, { "parameters": { - "jsCode": "const data = $input.first().json || {};\n\nfunction normalizeText(value) {\n return String(value ?? '')\n .replace(/\\uFEFF/g, '')\n .replace(/\\s+/g, ' ')\n .trim();\n}\n\nfunction roundMoney(value) {\n return Math.round((Number(value) || 0) * 100) / 100;\n}\n\nfunction readableCategory(value) {\n const map = {\n coincidencia: 'Coincidencia',\n discrepancia: 'Discrepancia',\n posible_cuenta_mal_digitada: 'Posible cuenta mal digitada',\n banco_sin_nomina: 'Banco sin nómina',\n banco_sin_bamboo: 'Banco sin Bamboo',\n nomina_sin_cuenta: 'Nómina sin cuenta',\n diferencia_nombre_banco: 'Diferencia nombre banco',\n };\n\n return map[value] || normalizeText(value).replace(/_/g, ' ');\n}\n\nfunction firstValue(value) {\n if (Array.isArray(value)) {\n return value.filter(Boolean).join(' / ');\n }\n\n return normalizeText(value);\n}\n\nfunction formatPeriodEnd(value) {\n const raw = normalizeText(value);\n\n if (!/^\\d{4}-\\d{2}-\\d{2}$/.test(raw)) {\n return raw;\n }\n\n const [year, month, day] = raw.split('-');\n const monthNames = {\n '01': 'ene',\n '02': 'feb',\n '03': 'mar',\n '04': 'abr',\n '05': 'may',\n '06': 'jun',\n '07': 'jul',\n '08': 'ago',\n '09': 'sep',\n '10': 'oct',\n '11': 'nov',\n '12': 'dic',\n };\n\n return `${day}-${monthNames[month] || month}-${year}`;\n}\n\nfunction mainReportSense(row, difference) {\n const category = normalizeText(row.category).toLowerCase();\n const subcategory = normalizeText(row.subcategory).toLowerCase();\n\n if (category === 'posible_cuenta_mal_digitada') {\n return 'Revisar cuenta';\n }\n\n if (\n subcategory === 'nomina_con_cuenta_sin_pago_banco' ||\n (Number(row.bank_amount ?? row.bankAmount ?? 0) === 0 &&\n Number(row.payroll_amount ?? row.payrollAmount ?? 0) > 0)\n ) {\n return 'No aparece pagado en banco';\n }\n\n if (difference > 0) {\n return 'Se pagó de menos';\n }\n\n if (difference < 0) {\n return 'Se pagó de más';\n }\n\n return 'Revisar';\n}\n\nconst metadata = data.metadata || {};\nconst summary = data.summary || {};\nconst rows = Array.isArray(data.rows) ? data.rows : [];\nconst bankWithoutBamboo = Array.isArray(data.bankWithoutBamboo)\n ? data.bankWithoutBamboo\n : [];\n\nconst periodLabel =\n metadata.period_label ||\n `${metadata.year || ''}-${metadata.month || ''}-${metadata.period_type || ''}`;\n\nconst spreadsheetTitle =\n `Cruce de Cuentas GLM GT - ${periodLabel}`;\n\nconst mainReportSubtitle =\n `Diferencias de Monto Nómina vs. Banco · Guatemala · ${\n formatPeriodEnd(metadata.period_end || '')\n }`;\n\nconst bancoSinBambooSubtitle =\n `Pagos en banco sin empleado identificado en BambooHR · Guatemala · ${\n formatPeriodEnd(metadata.period_end || '')\n }`;\n\nconst cuentaMalDigitadaSubtitle =\n `Cuenta Mal Digitada en Nómina · Guatemala · ${\n formatPeriodEnd(metadata.period_end || '')\n }`;\n\nconst cuentaMalDigitadaCases = rows.filter(\n (row) => row.category === 'posible_cuenta_mal_digitada'\n);\n\nconst hasCuentaMalDigitada =\n cuentaMalDigitadaCases.length > 0;\n\nconst sheetIds = {\n nominaVsBanco: 101,\n bancoSinNomina: 102,\n bancoSinBamboo: 103,\n diferenciasNombreBanco: 104,\n cuentaMalDigitada: 105,\n resumen: 106,\n};\n\nconst sheetTitles = {\n nominaVsBanco: '01 Nómina vs Banco',\n bancoSinNomina: '02 Banco sin Nómina',\n bancoSinBamboo: '03 Banco sin Bamboo',\n diferenciasNombreBanco: '04 Diferencias nombre banco',\n cuentaMalDigitada: '05 Cuenta Mal Digitada',\n resumen: hasCuentaMalDigitada\n ? '06 Resumen'\n : '05 Resumen',\n};\n\nconst nominaVsBancoHeader = [\n '#',\n 'Empleado',\n 'Cuenta',\n 'Monto en Nómina (Q)',\n 'Monto en Banco (Q)',\n 'Diferencia (Q)',\n 'Sentido',\n 'Estado',\n 'Resolución',\n];\n\nconst mainReportRows = rows\n .filter((row) => row.category === 'discrepancia')\n .map((row, index) => {\n const payrollAmount = roundMoney(\n row.payroll_amount ?? row.payrollAmount ?? 0\n );\n const bankAmount = roundMoney(\n row.bank_amount ?? row.bankAmount ?? 0\n );\n const difference = roundMoney(\n row.difference ?? (payrollAmount - bankAmount)\n );\n\n return [\n index + 1,\n normalizeText(row.employee_name || row.employee || ''),\n normalizeText(\n row.bank_account ||\n row.bankAccount ||\n row.payroll_account ||\n row.payrollAccount ||\n row.account ||\n ''\n ),\n payrollAmount,\n bankAmount,\n difference,\n mainReportSense(row, difference),\n normalizeText(row.status || 'Riesgo').toUpperCase(),\n '',\n ];\n });\n\nconst nominaVsBancoValues = [\n [\n 'GOMEZLEE MARKETING',\n '',\n '',\n '',\n '',\n '',\n '',\n '',\n '',\n ],\n [\n mainReportSubtitle,\n '',\n '',\n '',\n '',\n '',\n '',\n '',\n '',\n ],\n ['', '', '', '', '', '', '', '', ''],\n nominaVsBancoHeader,\n ...mainReportRows,\n];\n\nconst bancoSinNominaHeader = [\n 'Empleado Banco',\n 'Cuenta Banco',\n 'Moneda',\n 'Monto Banco',\n 'Estado',\n 'Observación',\n 'Resolución',\n];\n\nconst bancoSinNominaRows = rows\n .filter((row) => row.category === 'banco_sin_nomina')\n .map((row) => [\n normalizeText(row.employee_name || row.employee || ''),\n normalizeText(\n row.bank_account ||\n row.bankAccount ||\n row.account ||\n ''\n ),\n normalizeText(row.currency || 'QTZ'),\n roundMoney(row.bank_amount ?? row.bankAmount ?? 0),\n normalizeText(row.status || ''),\n normalizeText(row.observation || ''),\n '',\n ]);\n\nconst bancoSinBambooHeader = [\n '#',\n 'Nombre en banco',\n 'Nombre del cuentahabiente',\n 'Cuenta',\n 'Monto en banco (Q)',\n 'Número de envío',\n 'Estado',\n 'Resolución',\n];\n\nconst bancoSinBambooRows = bankWithoutBamboo.map((row, index) => [\n index + 1,\n normalizeText(row.bank_name_file || row.employee_name || ''),\n normalizeText(row.bank_account_holder || ''),\n normalizeText(\n row.bank_account ||\n row.bankAccount ||\n row.account ||\n ''\n ),\n roundMoney(row.bank_amount ?? row.bankAmount ?? 0),\n firstValue(row.shipment_numbers || row.shipment_number || ''),\n 'PENDIENTE REVISIÓN',\n '',\n]);\n\nconst bancoSinBambooValues = [\n [\n 'GOMEZLEE MARKETING',\n '',\n '',\n '',\n '',\n '',\n '',\n '',\n ],\n [\n bancoSinBambooSubtitle,\n '',\n '',\n '',\n '',\n '',\n '',\n '',\n ],\n ['', '', '', '', '', '', '', ''],\n bancoSinBambooHeader,\n ...bancoSinBambooRows,\n];\n\nconst diferenciasNombreHeader = [\n 'Nombre en Archivo',\n 'Nombre del Cuentahabiente',\n 'Cuenta Destino',\n 'Moneda',\n 'Monto',\n 'Número de envío',\n 'Número de plan',\n 'Archivo',\n 'Estado',\n 'Observación',\n 'Resolución',\n];\n\nconst diferenciasNombreRows = rows\n .filter((row) => row.category === 'diferencia_nombre_banco')\n .map((row) => [\n normalizeText(row.bank_name_file || row.employee_name || ''),\n normalizeText(row.bank_account_holder || ''),\n normalizeText(\n row.bank_account ||\n row.bankAccount ||\n row.account ||\n ''\n ),\n normalizeText(row.currency || 'QTZ'),\n roundMoney(row.bank_amount ?? row.bankAmount ?? 0),\n normalizeText(row.shipment_number || ''),\n normalizeText(row.plan_number || ''),\n normalizeText(row.source_file || ''),\n normalizeText(row.status || ''),\n normalizeText(row.observation || ''),\n '',\n ]);\n\n\nfunction accountValues(value) {\n const values = Array.isArray(value)\n ? value\n : String(value ?? '')\n .split(/\\s*(?:\\/|;|,|\\by\\b)\\s*/i);\n\n return values\n .map((item) =>\n String(item ?? '')\n .replace(/\\.0$/g, '')\n .replace(/\\D/g, '')\n .trim()\n )\n .filter((item) =>\n item.length >= 7 &&\n !/^0+$/.test(item)\n );\n}\n\nfunction payrollAccountsForWrongAccount(row) {\n const candidates = [\n row.payroll_account,\n row.payrollAccount,\n ...(Array.isArray(row.source_rows)\n ? row.source_rows.flatMap((sourceRow) => [\n sourceRow.account,\n sourceRow.payroll_account,\n sourceRow.payrollAccount,\n ])\n : []),\n ];\n\n return Array.from(new Set(\n candidates.flatMap(accountValues)\n ));\n}\n\nfunction bankAccountForWrongAccount(row) {\n return firstValue(\n row.bank_account ||\n row.bankAccount ||\n row.account ||\n ''\n );\n}\n\nfunction wrongAccountTotalStatus(row) {\n const payrollAmount = roundMoney(\n row.payroll_amount ?? row.payrollAmount ?? 0\n );\n const bankAmount = roundMoney(\n row.bank_amount ?? row.bankAmount ?? 0\n );\n const difference = roundMoney(\n payrollAmount - bankAmount\n );\n\n if (Math.abs(difference) <= 0.02) {\n return 'El total de nómina coincide con el total del banco.';\n }\n\n if (difference > 0) {\n return (\n `El total de nómina supera el total del banco por ` +\n `Q${Math.abs(difference).toLocaleString('en-US', {\n minimumFractionDigits: 2,\n maximumFractionDigits: 2,\n })}.`\n );\n }\n\n return (\n `El total pagado por el banco supera el total de nómina por ` +\n `Q${Math.abs(difference).toLocaleString('en-US', {\n minimumFractionDigits: 2,\n maximumFractionDigits: 2,\n })}.`\n );\n}\n\nfunction wrongAccountFinding(row) {\n const existing = normalizeText(row.observation || '');\n\n if (existing) {\n return existing;\n }\n\n const payrollAccounts =\n payrollAccountsForWrongAccount(row);\n const bankAccount =\n bankAccountForWrongAccount(row);\n\n return (\n `El empleado presenta una posible inconsistencia entre ` +\n `la cuenta registrada en nómina ` +\n `(${payrollAccounts.join(' y ') || 'sin cuenta identificada'}) ` +\n `y la cuenta utilizada por el banco ` +\n `(${bankAccount || 'sin cuenta identificada'}).`\n );\n}\n\nconst cuentaMalDigitadaHeader = [\n '#',\n 'Campo',\n 'Detalle',\n 'Resolución',\n];\n\nconst cuentaMalDigitadaRows = [];\n\nfor (\n let index = 0;\n index < cuentaMalDigitadaCases.length;\n index++\n) {\n const row = cuentaMalDigitadaCases[index];\n const payrollAccounts =\n payrollAccountsForWrongAccount(row);\n const bankAccount =\n bankAccountForWrongAccount(row);\n\n const fields = [\n [\n 'Empleado',\n normalizeText(\n row.employee_name ||\n row.employee ||\n ''\n ),\n ],\n [\n 'Cuentas registradas en las hojas de nómina',\n payrollAccounts.join(' y ') ||\n 'No se identificó una cuenta válida en la nómina.',\n ],\n [\n 'Cuenta utilizada por el banco',\n bankAccount ||\n 'No se identificó una cuenta válida en el banco.',\n ],\n [\n 'Estado del total',\n wrongAccountTotalStatus(row),\n ],\n [\n 'Hallazgo',\n wrongAccountFinding(row),\n ],\n [\n 'Clasificación',\n 'Posible cuenta mal digitada — revisar y unificar la cuenta en las hojas de nómina.',\n ],\n ];\n\n fields.forEach((field, fieldIndex) => {\n cuentaMalDigitadaRows.push([\n fieldIndex === 0 ? index + 1 : '',\n field[0],\n field[1],\n '',\n ]);\n });\n}\n\nconst cuentaMalDigitadaValues = [\n [\n 'GOMEZLEE MARKETING',\n '',\n '',\n '',\n ],\n [\n cuentaMalDigitadaSubtitle,\n '',\n '',\n '',\n ],\n ['', '', '', ''],\n cuentaMalDigitadaHeader,\n ...cuentaMalDigitadaRows,\n];\n\nconst resumenHeader = ['Indicador', 'Valor'];\nconst resumenRows = [\n ['Período', periodLabel],\n ['Coincidencias', Number(summary.coincidencias || 0)],\n ['Discrepancias', Number(summary.discrepancias || 0)],\n ['Banco sin nómina', Number(summary.bancoSinNomina || 0)],\n ['Banco sin Bamboo', Number(summary.bancoSinBamboo || 0)],\n ['Nómina sin cuenta', Number(summary.nominaSinCuenta || 0)],\n [\n 'Diferencias nombre banco',\n Number(summary.diferenciasNombreBanco || 0),\n ],\n [\n 'Posibles cuentas mal digitadas',\n Number(summary.posiblesCuentasMalDigitadas || 0),\n ],\n ['Pendientes cruce principal', Number(summary.pendientes || 0)],\n [\n 'Empleados BambooHR Guatemala',\n Number(summary.empleadosBambooGT || 0),\n ],\n [\n 'Empleados BambooHR en el período',\n Number(summary.empleadosBambooEnPeriodo || 0),\n ],\n ['Filas válidas de nómina', Number(summary.filasNominaValidas || 0)],\n [\n 'Suplementos adjuntados',\n Number(summary.suplementosNominaAdjuntados || 0),\n ],\n [\n 'Suplementos sin coincidencia',\n Number(summary.suplementosNominaNoAdjuntados || 0),\n ],\n ['Transacciones bancarias', Number(summary.transaccionesBanco || 0)],\n ['Total nómina', roundMoney(summary.totalNomina || 0)],\n ['Total banco', roundMoney(summary.totalBanco || 0)],\n ['Diferencia total', roundMoney(summary.diferenciaTotal || 0)],\n];\n\nfunction buildSheetValues(header, bodyRows) {\n return [header, ...bodyRows];\n}\n\nconst valueData = [\n {\n range: `'${sheetTitles.nominaVsBanco}'!A1:I`,\n values: nominaVsBancoValues,\n },\n {\n range: `'${sheetTitles.bancoSinNomina}'!A1:G`,\n values: buildSheetValues(\n bancoSinNominaHeader,\n bancoSinNominaRows\n ),\n },\n {\n range: `'${sheetTitles.bancoSinBamboo}'!A1:H`,\n values: bancoSinBambooValues,\n },\n {\n range: `'${sheetTitles.diferenciasNombreBanco}'!A1:K`,\n values: buildSheetValues(\n diferenciasNombreHeader,\n diferenciasNombreRows\n ),\n },\n ...(hasCuentaMalDigitada\n ? [\n {\n range:\n `'${sheetTitles.cuentaMalDigitada}'!A1:D`,\n values: cuentaMalDigitadaValues,\n },\n ]\n : []),\n {\n range: `'${sheetTitles.resumen}'!A1:B`,\n values: buildSheetValues(\n resumenHeader,\n resumenRows\n ),\n },\n];\n\nfunction headerFormatRequest(\n sheetId,\n endColumnIndex,\n startRowIndex = 0\n) {\n return {\n repeatCell: {\n range: {\n sheetId,\n startRowIndex,\n endRowIndex: startRowIndex + 1,\n startColumnIndex: 0,\n endColumnIndex,\n },\n cell: {\n userEnteredFormat: {\n backgroundColor: {\n red: 0.29,\n green: 0.49,\n blue: 0.58,\n },\n textFormat: {\n bold: true,\n foregroundColor: {\n red: 1,\n green: 1,\n blue: 1,\n },\n },\n horizontalAlignment: 'CENTER',\n verticalAlignment: 'MIDDLE',\n wrapStrategy: 'WRAP',\n },\n },\n fields:\n 'userEnteredFormat(backgroundColor,textFormat,horizontalAlignment,verticalAlignment,wrapStrategy)',\n },\n };\n}\n\nfunction freezeHeaderRequest(sheetId, frozenRowCount = 1) {\n return {\n updateSheetProperties: {\n properties: {\n sheetId,\n gridProperties: {\n frozenRowCount,\n },\n },\n fields: 'gridProperties.frozenRowCount',\n },\n };\n}\n\nfunction autoResizeRequest(sheetId, endColumnIndex) {\n return {\n autoResizeDimensions: {\n dimensions: {\n sheetId,\n dimension: 'COLUMNS',\n startIndex: 0,\n endIndex: endColumnIndex,\n },\n },\n };\n}\n\nfunction moneyFormatRequest(\n sheetId,\n startColumnIndex,\n endColumnIndex,\n startRowIndex = 1,\n pattern = '#,##0.00',\n endRowIndex = null\n) {\n const range = {\n sheetId,\n startRowIndex,\n startColumnIndex,\n endColumnIndex,\n };\n\n if (Number.isInteger(endRowIndex)) {\n range.endRowIndex = endRowIndex;\n }\n\n return {\n repeatCell: {\n range,\n cell: {\n userEnteredFormat: {\n numberFormat: {\n type: 'NUMBER',\n pattern,\n },\n },\n },\n fields: 'userEnteredFormat.numberFormat',\n },\n };\n}\n\nfunction basicFilterRequest(\n sheetId,\n endColumnIndex,\n startRowIndex = 0,\n endRowIndex = null\n) {\n const range = {\n sheetId,\n startRowIndex,\n startColumnIndex: 0,\n endColumnIndex,\n };\n\n if (Number.isInteger(endRowIndex)) {\n range.endRowIndex = endRowIndex;\n }\n\n return {\n setBasicFilter: {\n filter: {\n range,\n },\n },\n };\n}\n\nfunction mergeRowRequest(\n sheetId,\n rowIndex,\n endColumnIndex\n) {\n return {\n mergeCells: {\n range: {\n sheetId,\n startRowIndex: rowIndex,\n endRowIndex: rowIndex + 1,\n startColumnIndex: 0,\n endColumnIndex,\n },\n mergeType: 'MERGE_ALL',\n },\n };\n}\n\nfunction titleRowFormatRequest(\n sheetId,\n rowIndex,\n endColumnIndex,\n options = {}\n) {\n const {\n fontSize = 12,\n bold = true,\n italic = false,\n horizontalAlignment = 'LEFT',\n } = options;\n\n return {\n repeatCell: {\n range: {\n sheetId,\n startRowIndex: rowIndex,\n endRowIndex: rowIndex + 1,\n startColumnIndex: 0,\n endColumnIndex,\n },\n cell: {\n userEnteredFormat: {\n backgroundColor: {\n red: 0.29,\n green: 0.49,\n blue: 0.58,\n },\n textFormat: {\n bold,\n italic,\n fontSize,\n foregroundColor: {\n red: 1,\n green: 1,\n blue: 1,\n },\n },\n horizontalAlignment,\n verticalAlignment: 'MIDDLE',\n },\n },\n fields:\n 'userEnteredFormat(backgroundColor,textFormat,horizontalAlignment,verticalAlignment)',\n },\n };\n}\n\nfunction columnWidthRequest(\n sheetId,\n startIndex,\n endIndex,\n pixelSize\n) {\n return {\n updateDimensionProperties: {\n range: {\n sheetId,\n dimension: 'COLUMNS',\n startIndex,\n endIndex,\n },\n properties: {\n pixelSize,\n },\n fields: 'pixelSize',\n },\n };\n}\n\nfunction rowHeightRequest(\n sheetId,\n startIndex,\n endIndex,\n pixelSize\n) {\n return {\n updateDimensionProperties: {\n range: {\n sheetId,\n dimension: 'ROWS',\n startIndex,\n endIndex,\n },\n properties: {\n pixelSize,\n },\n fields: 'pixelSize',\n },\n };\n}\n\nfunction bodyAlignmentRequest(\n sheetId,\n startColumnIndex,\n endColumnIndex,\n horizontalAlignment,\n endRowIndex\n) {\n return {\n repeatCell: {\n range: {\n sheetId,\n startRowIndex: 4,\n endRowIndex,\n startColumnIndex,\n endColumnIndex,\n },\n cell: {\n userEnteredFormat: {\n horizontalAlignment,\n verticalAlignment: 'MIDDLE',\n wrapStrategy: 'WRAP',\n },\n },\n fields:\n 'userEnteredFormat(horizontalAlignment,verticalAlignment,wrapStrategy)',\n },\n };\n}\n\nfunction statusFormatRequest(sheetId, endRowIndex) {\n return {\n repeatCell: {\n range: {\n sheetId,\n startRowIndex: 4,\n endRowIndex,\n startColumnIndex: 7,\n endColumnIndex: 8,\n },\n cell: {\n userEnteredFormat: {\n backgroundColor: {\n red: 1,\n green: 0.92,\n blue: 0.92,\n },\n textFormat: {\n bold: true,\n foregroundColor: {\n red: 0.85,\n green: 0.08,\n blue: 0.08,\n },\n },\n horizontalAlignment: 'CENTER',\n verticalAlignment: 'MIDDLE',\n },\n },\n fields:\n 'userEnteredFormat(backgroundColor,textFormat,horizontalAlignment,verticalAlignment)',\n },\n };\n}\n\nfunction bambooStatusFormatRequest(\n sheetId,\n endRowIndex\n) {\n return {\n repeatCell: {\n range: {\n sheetId,\n startRowIndex: 4,\n endRowIndex,\n startColumnIndex: 6,\n endColumnIndex: 7,\n },\n cell: {\n userEnteredFormat: {\n backgroundColor: {\n red: 1,\n green: 0.97,\n blue: 0.82,\n },\n textFormat: {\n bold: true,\n foregroundColor: {\n red: 0.70,\n green: 0.30,\n blue: 0.00,\n },\n },\n horizontalAlignment: 'CENTER',\n verticalAlignment: 'MIDDLE',\n wrapStrategy: 'WRAP',\n },\n },\n fields:\n 'userEnteredFormat(backgroundColor,textFormat,horizontalAlignment,verticalAlignment,wrapStrategy)',\n },\n };\n}\n\n\nfunction mergeVerticalRequest(\n sheetId,\n startRowIndex,\n endRowIndex,\n columnIndex\n) {\n return {\n mergeCells: {\n range: {\n sheetId,\n startRowIndex,\n endRowIndex,\n startColumnIndex: columnIndex,\n endColumnIndex: columnIndex + 1,\n },\n mergeType: 'MERGE_ALL',\n },\n };\n}\n\nfunction rangeFormatRequest(\n sheetId,\n startRowIndex,\n endRowIndex,\n startColumnIndex,\n endColumnIndex,\n userEnteredFormat\n) {\n return {\n repeatCell: {\n range: {\n sheetId,\n startRowIndex,\n endRowIndex,\n startColumnIndex,\n endColumnIndex,\n },\n cell: {\n userEnteredFormat,\n },\n fields:\n 'userEnteredFormat(backgroundColor,textFormat,horizontalAlignment,verticalAlignment,wrapStrategy)',\n },\n };\n}\n\nfunction conditionalDifferenceRequest(\n sheetId,\n formula,\n backgroundColor,\n textColor,\n ranges,\n index\n) {\n return {\n addConditionalFormatRule: {\n index,\n rule: {\n ranges,\n booleanRule: {\n condition: {\n type: 'CUSTOM_FORMULA',\n values: [\n {\n userEnteredValue: formula,\n },\n ],\n },\n format: {\n backgroundColor,\n textFormat: {\n bold: true,\n foregroundColor: textColor,\n },\n },\n },\n },\n },\n };\n}\n\nfunction borderRequest(\n sheetId,\n startRowIndex,\n endRowIndex,\n endColumnIndex\n) {\n const border = {\n style: 'SOLID',\n color: {\n red: 0.72,\n green: 0.82,\n blue: 0.76,\n },\n };\n\n return {\n updateBorders: {\n range: {\n sheetId,\n startRowIndex,\n endRowIndex,\n startColumnIndex: 0,\n endColumnIndex,\n },\n top: border,\n bottom: border,\n left: border,\n right: border,\n innerHorizontal: border,\n innerVertical: border,\n },\n };\n}\n\nconst mainReportEndRow = Math.max(\n 4 + mainReportRows.length,\n 4\n);\n\nconst bancoSinBambooEndRow = Math.max(\n 4 + bancoSinBambooRows.length,\n 4\n);\n\nconst mainConditionalRanges = mainReportRows.length\n ? [\n {\n sheetId: sheetIds.nominaVsBanco,\n startRowIndex: 4,\n endRowIndex: mainReportEndRow,\n startColumnIndex: 5,\n endColumnIndex: 7,\n },\n ]\n : [];\n\nconst mainDataFormatRequests = mainReportRows.length\n ? [\n moneyFormatRequest(\n sheetIds.nominaVsBanco,\n 3,\n 6,\n 4,\n 'Q#,##0.00;[Red](Q#,##0.00)',\n mainReportEndRow\n ),\n bodyAlignmentRequest(\n sheetIds.nominaVsBanco,\n 0,\n 1,\n 'CENTER',\n mainReportEndRow\n ),\n bodyAlignmentRequest(\n sheetIds.nominaVsBanco,\n 1,\n 2,\n 'LEFT',\n mainReportEndRow\n ),\n bodyAlignmentRequest(\n sheetIds.nominaVsBanco,\n 2,\n 3,\n 'CENTER',\n mainReportEndRow\n ),\n bodyAlignmentRequest(\n sheetIds.nominaVsBanco,\n 3,\n 6,\n 'RIGHT',\n mainReportEndRow\n ),\n bodyAlignmentRequest(\n sheetIds.nominaVsBanco,\n 6,\n 8,\n 'CENTER',\n mainReportEndRow\n ),\n bodyAlignmentRequest(\n sheetIds.nominaVsBanco,\n 8,\n 9,\n 'LEFT',\n mainReportEndRow\n ),\n statusFormatRequest(\n sheetIds.nominaVsBanco,\n mainReportEndRow\n ),\n conditionalDifferenceRequest(\n sheetIds.nominaVsBanco,\n '=$F5>0',\n {\n red: 1,\n green: 0.97,\n blue: 0.82,\n },\n {\n red: 0.25,\n green: 0.25,\n blue: 0.25,\n },\n mainConditionalRanges,\n 0\n ),\n conditionalDifferenceRequest(\n sheetIds.nominaVsBanco,\n '=$F5<0',\n {\n red: 1,\n green: 0.89,\n blue: 0.89,\n },\n {\n red: 0.9,\n green: 0.05,\n blue: 0.05,\n },\n mainConditionalRanges,\n 1\n ),\n rowHeightRequest(\n sheetIds.nominaVsBanco,\n 4,\n mainReportEndRow,\n 28\n ),\n ]\n : [];\n\n\nconst cuentaMalDigitadaEndRow = Math.max(\n 4 + cuentaMalDigitadaRows.length,\n 4\n);\n\nconst cuentaMalDigitadaCaseRequests =\n hasCuentaMalDigitada\n ? cuentaMalDigitadaCases.flatMap(\n (_, caseIndex) => {\n const startRowIndex =\n 4 + caseIndex * 6;\n const endRowIndex =\n startRowIndex + 6;\n\n return [\n mergeVerticalRequest(\n sheetIds.cuentaMalDigitada,\n startRowIndex,\n endRowIndex,\n 0\n ),\n mergeVerticalRequest(\n sheetIds.cuentaMalDigitada,\n startRowIndex,\n endRowIndex,\n 3\n ),\n rowHeightRequest(\n sheetIds.cuentaMalDigitada,\n startRowIndex,\n startRowIndex + 4,\n 34\n ),\n rowHeightRequest(\n sheetIds.cuentaMalDigitada,\n startRowIndex + 4,\n startRowIndex + 5,\n 76\n ),\n rowHeightRequest(\n sheetIds.cuentaMalDigitada,\n startRowIndex + 5,\n endRowIndex,\n 54\n ),\n rangeFormatRequest(\n sheetIds.cuentaMalDigitada,\n startRowIndex + 4,\n startRowIndex + 5,\n 2,\n 3,\n {\n backgroundColor: {\n red: 0.97,\n green: 0.97,\n blue: 0.97,\n },\n horizontalAlignment: 'LEFT',\n verticalAlignment: 'MIDDLE',\n wrapStrategy: 'WRAP',\n }\n ),\n rangeFormatRequest(\n sheetIds.cuentaMalDigitada,\n startRowIndex + 5,\n endRowIndex,\n 2,\n 3,\n {\n backgroundColor: {\n red: 1,\n green: 0.97,\n blue: 0.82,\n },\n textFormat: {\n bold: true,\n foregroundColor: {\n red: 0.55,\n green: 0.30,\n blue: 0.00,\n },\n },\n horizontalAlignment: 'LEFT',\n verticalAlignment: 'MIDDLE',\n wrapStrategy: 'WRAP',\n }\n ),\n ];\n }\n )\n : [];\n\nconst cuentaMalDigitadaFormatRequests =\n hasCuentaMalDigitada\n ? [\n mergeRowRequest(\n sheetIds.cuentaMalDigitada,\n 0,\n 4\n ),\n mergeRowRequest(\n sheetIds.cuentaMalDigitada,\n 1,\n 4\n ),\n titleRowFormatRequest(\n sheetIds.cuentaMalDigitada,\n 0,\n 4,\n {\n fontSize: 12,\n bold: true,\n italic: false,\n horizontalAlignment: 'LEFT',\n }\n ),\n titleRowFormatRequest(\n sheetIds.cuentaMalDigitada,\n 1,\n 4,\n {\n fontSize: 10,\n bold: false,\n italic: true,\n horizontalAlignment: 'LEFT',\n }\n ),\n headerFormatRequest(\n sheetIds.cuentaMalDigitada,\n 4,\n 3\n ),\n freezeHeaderRequest(\n sheetIds.cuentaMalDigitada,\n 4\n ),\n borderRequest(\n sheetIds.cuentaMalDigitada,\n 3,\n cuentaMalDigitadaEndRow,\n 4\n ),\n rowHeightRequest(\n sheetIds.cuentaMalDigitada,\n 0,\n 1,\n 30\n ),\n rowHeightRequest(\n sheetIds.cuentaMalDigitada,\n 1,\n 2,\n 26\n ),\n rowHeightRequest(\n sheetIds.cuentaMalDigitada,\n 3,\n 4,\n 40\n ),\n rangeFormatRequest(\n sheetIds.cuentaMalDigitada,\n 4,\n cuentaMalDigitadaEndRow,\n 0,\n 1,\n {\n backgroundColor: {\n red: 0.91,\n green: 0.95,\n blue: 0.99,\n },\n textFormat: {\n bold: true,\n foregroundColor: {\n red: 0.20,\n green: 0.36,\n blue: 0.45,\n },\n },\n horizontalAlignment: 'CENTER',\n verticalAlignment: 'MIDDLE',\n wrapStrategy: 'WRAP',\n }\n ),\n rangeFormatRequest(\n sheetIds.cuentaMalDigitada,\n 4,\n cuentaMalDigitadaEndRow,\n 1,\n 2,\n {\n backgroundColor: {\n red: 0.93,\n green: 0.97,\n blue: 0.90,\n },\n textFormat: {\n bold: true,\n foregroundColor: {\n red: 0.20,\n green: 0.36,\n blue: 0.45,\n },\n },\n horizontalAlignment: 'LEFT',\n verticalAlignment: 'MIDDLE',\n wrapStrategy: 'WRAP',\n }\n ),\n rangeFormatRequest(\n sheetIds.cuentaMalDigitada,\n 4,\n cuentaMalDigitadaEndRow,\n 2,\n 3,\n {\n horizontalAlignment: 'LEFT',\n verticalAlignment: 'MIDDLE',\n wrapStrategy: 'WRAP',\n }\n ),\n rangeFormatRequest(\n sheetIds.cuentaMalDigitada,\n 4,\n cuentaMalDigitadaEndRow,\n 3,\n 4,\n {\n horizontalAlignment: 'LEFT',\n verticalAlignment: 'MIDDLE',\n wrapStrategy: 'WRAP',\n }\n ),\n columnWidthRequest(\n sheetIds.cuentaMalDigitada,\n 0,\n 1,\n 48\n ),\n columnWidthRequest(\n sheetIds.cuentaMalDigitada,\n 1,\n 2,\n 285\n ),\n columnWidthRequest(\n sheetIds.cuentaMalDigitada,\n 2,\n 3,\n 520\n ),\n columnWidthRequest(\n sheetIds.cuentaMalDigitada,\n 3,\n 4,\n 260\n ),\n ...cuentaMalDigitadaCaseRequests,\n ]\n : [];\n\n\nfunction wrapRangeRequest(\n sheetId,\n startRowIndex,\n endRowIndex,\n startColumnIndex,\n endColumnIndex\n) {\n return {\n repeatCell: {\n range: {\n sheetId,\n startRowIndex,\n endRowIndex,\n startColumnIndex,\n endColumnIndex,\n },\n cell: {\n userEnteredFormat: {\n verticalAlignment: 'MIDDLE',\n wrapStrategy: 'WRAP',\n },\n },\n fields:\n 'userEnteredFormat(verticalAlignment,wrapStrategy)',\n },\n };\n}\n\nfunction autoResizeRowsRequest(\n sheetId,\n startIndex,\n endIndex\n) {\n return {\n autoResizeDimensions: {\n dimensions: {\n sheetId,\n dimension: 'ROWS',\n startIndex,\n endIndex,\n },\n },\n };\n}\n\nconst formatRequests = [\n mergeRowRequest(sheetIds.nominaVsBanco, 0, 9),\n mergeRowRequest(sheetIds.nominaVsBanco, 1, 9),\n titleRowFormatRequest(\n sheetIds.nominaVsBanco,\n 0,\n 9,\n {\n fontSize: 12,\n bold: true,\n italic: false,\n horizontalAlignment: 'LEFT',\n }\n ),\n titleRowFormatRequest(\n sheetIds.nominaVsBanco,\n 1,\n 9,\n {\n fontSize: 10,\n bold: false,\n italic: true,\n horizontalAlignment: 'LEFT',\n }\n ),\n headerFormatRequest(\n sheetIds.nominaVsBanco,\n 9,\n 3\n ),\n freezeHeaderRequest(\n sheetIds.nominaVsBanco,\n 4\n ),\n basicFilterRequest(\n sheetIds.nominaVsBanco,\n 9,\n 3,\n mainReportEndRow\n ),\n borderRequest(\n sheetIds.nominaVsBanco,\n 3,\n mainReportEndRow,\n 9\n ),\n rowHeightRequest(\n sheetIds.nominaVsBanco,\n 0,\n 1,\n 30\n ),\n rowHeightRequest(\n sheetIds.nominaVsBanco,\n 1,\n 2,\n 26\n ),\n rowHeightRequest(\n sheetIds.nominaVsBanco,\n 3,\n 4,\n 42\n ),\n ...mainDataFormatRequests,\n\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 0,\n 1,\n 48\n ),\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 1,\n 2,\n 260\n ),\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 2,\n 3,\n 130\n ),\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 3,\n 6,\n 130\n ),\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 6,\n 7,\n 155\n ),\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 7,\n 8,\n 110\n ),\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 8,\n 9,\n 260\n ),\n\n headerFormatRequest(sheetIds.bancoSinNomina, 7),\n freezeHeaderRequest(sheetIds.bancoSinNomina),\n autoResizeRequest(sheetIds.bancoSinNomina, 7),\n moneyFormatRequest(sheetIds.bancoSinNomina, 3, 4),\n basicFilterRequest(sheetIds.bancoSinNomina, 7),\n columnWidthRequest(\n sheetIds.bancoSinNomina,\n 6,\n 7,\n 260\n ),\n\n mergeRowRequest(sheetIds.bancoSinBamboo, 0, 8),\n mergeRowRequest(sheetIds.bancoSinBamboo, 1, 8),\n titleRowFormatRequest(\n sheetIds.bancoSinBamboo,\n 0,\n 8,\n {\n fontSize: 12,\n bold: true,\n italic: false,\n horizontalAlignment: 'LEFT',\n }\n ),\n titleRowFormatRequest(\n sheetIds.bancoSinBamboo,\n 1,\n 8,\n {\n fontSize: 10,\n bold: false,\n italic: true,\n horizontalAlignment: 'LEFT',\n }\n ),\n headerFormatRequest(\n sheetIds.bancoSinBamboo,\n 8,\n 3\n ),\n freezeHeaderRequest(\n sheetIds.bancoSinBamboo,\n 4\n ),\n basicFilterRequest(\n sheetIds.bancoSinBamboo,\n 8,\n 3,\n bancoSinBambooEndRow\n ),\n borderRequest(\n sheetIds.bancoSinBamboo,\n 3,\n bancoSinBambooEndRow,\n 8\n ),\n rowHeightRequest(\n sheetIds.bancoSinBamboo,\n 0,\n 1,\n 30\n ),\n rowHeightRequest(\n sheetIds.bancoSinBamboo,\n 1,\n 2,\n 26\n ),\n rowHeightRequest(\n sheetIds.bancoSinBamboo,\n 3,\n 4,\n 42\n ),\n moneyFormatRequest(\n sheetIds.bancoSinBamboo,\n 4,\n 5,\n 4,\n 'Q#,##0.00',\n bancoSinBambooEndRow\n ),\n bodyAlignmentRequest(\n sheetIds.bancoSinBamboo,\n 0,\n 1,\n 'CENTER',\n bancoSinBambooEndRow\n ),\n bodyAlignmentRequest(\n sheetIds.bancoSinBamboo,\n 1,\n 3,\n 'LEFT',\n bancoSinBambooEndRow\n ),\n bodyAlignmentRequest(\n sheetIds.bancoSinBamboo,\n 3,\n 4,\n 'CENTER',\n bancoSinBambooEndRow\n ),\n bodyAlignmentRequest(\n sheetIds.bancoSinBamboo,\n 4,\n 5,\n 'RIGHT',\n bancoSinBambooEndRow\n ),\n bodyAlignmentRequest(\n sheetIds.bancoSinBamboo,\n 5,\n 7,\n 'CENTER',\n bancoSinBambooEndRow\n ),\n bodyAlignmentRequest(\n sheetIds.bancoSinBamboo,\n 7,\n 8,\n 'LEFT',\n bancoSinBambooEndRow\n ),\n bambooStatusFormatRequest(\n sheetIds.bancoSinBamboo,\n bancoSinBambooEndRow\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 0,\n 1,\n 48\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 1,\n 2,\n 220\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 2,\n 3,\n 270\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 3,\n 4,\n 135\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 4,\n 5,\n 130\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 5,\n 6,\n 110\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 6,\n 7,\n 140\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 7,\n 8,\n 260\n ),\n\n headerFormatRequest(\n sheetIds.diferenciasNombreBanco,\n 11\n ),\n freezeHeaderRequest(\n sheetIds.diferenciasNombreBanco\n ),\n autoResizeRequest(\n sheetIds.diferenciasNombreBanco,\n 11\n ),\n moneyFormatRequest(\n sheetIds.diferenciasNombreBanco,\n 4,\n 5\n ),\n basicFilterRequest(\n sheetIds.diferenciasNombreBanco,\n 11\n ),\n columnWidthRequest(\n sheetIds.diferenciasNombreBanco,\n 10,\n 11,\n 260\n ),\n\n ...cuentaMalDigitadaFormatRequests,\n\n headerFormatRequest(sheetIds.resumen, 2),\n freezeHeaderRequest(sheetIds.resumen),\n autoResizeRequest(sheetIds.resumen, 2),\n moneyFormatRequest(sheetIds.resumen, 1, 2),\n];\n\n\nconst bancoSinNominaEndRow =\n 1 + bancoSinNominaRows.length;\n\nconst diferenciasNombreEndRow =\n 1 + diferenciasNombreRows.length;\n\nconst resumenReadabilityEndRow =\n 1 + resumenRows.length;\n\n/*\n * Ajuste final de legibilidad.\n *\n * Se ejecuta al final para que los anchos definitivos ya estén aplicados\n * cuando Google Sheets calcule automáticamente la altura de cada fila.\n * Así, cualquier texto largo queda envuelto y visible sin que el usuario\n * tenga que expandir columnas o filas manualmente.\n */\nformatRequests.push(\n // 01 Nómina vs Banco\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 1,\n 2,\n 300\n ),\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 2,\n 3,\n 150\n ),\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 3,\n 6,\n 145\n ),\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 6,\n 7,\n 220\n ),\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 7,\n 8,\n 140\n ),\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 8,\n 9,\n 320\n ),\n ...(mainReportRows.length > 0\n ? [\n wrapRangeRequest(\n sheetIds.nominaVsBanco,\n 4,\n mainReportEndRow,\n 0,\n 9\n ),\n autoResizeRowsRequest(\n sheetIds.nominaVsBanco,\n 4,\n mainReportEndRow\n ),\n ]\n : []),\n\n // 02 Banco sin Nómina\n columnWidthRequest(\n sheetIds.bancoSinNomina,\n 0,\n 1,\n 320\n ),\n columnWidthRequest(\n sheetIds.bancoSinNomina,\n 1,\n 2,\n 165\n ),\n columnWidthRequest(\n sheetIds.bancoSinNomina,\n 2,\n 3,\n 95\n ),\n columnWidthRequest(\n sheetIds.bancoSinNomina,\n 3,\n 4,\n 140\n ),\n columnWidthRequest(\n sheetIds.bancoSinNomina,\n 4,\n 5,\n 170\n ),\n columnWidthRequest(\n sheetIds.bancoSinNomina,\n 5,\n 6,\n 560\n ),\n columnWidthRequest(\n sheetIds.bancoSinNomina,\n 6,\n 7,\n 320\n ),\n autoResizeRowsRequest(\n sheetIds.bancoSinNomina,\n 0,\n 1\n ),\n ...(bancoSinNominaRows.length > 0\n ? [\n wrapRangeRequest(\n sheetIds.bancoSinNomina,\n 1,\n bancoSinNominaEndRow,\n 0,\n 7\n ),\n autoResizeRowsRequest(\n sheetIds.bancoSinNomina,\n 1,\n bancoSinNominaEndRow\n ),\n ]\n : []),\n\n // 03 Banco sin Bamboo\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 1,\n 2,\n 300\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 2,\n 3,\n 330\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 3,\n 4,\n 150\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 4,\n 5,\n 145\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 5,\n 6,\n 150\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 6,\n 7,\n 170\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 7,\n 8,\n 320\n ),\n ...(bancoSinBambooRows.length > 0\n ? [\n wrapRangeRequest(\n sheetIds.bancoSinBamboo,\n 4,\n bancoSinBambooEndRow,\n 0,\n 8\n ),\n autoResizeRowsRequest(\n sheetIds.bancoSinBamboo,\n 4,\n bancoSinBambooEndRow\n ),\n ]\n : []),\n\n // 04 Diferencias nombre banco\n columnWidthRequest(\n sheetIds.diferenciasNombreBanco,\n 0,\n 1,\n 300\n ),\n columnWidthRequest(\n sheetIds.diferenciasNombreBanco,\n 1,\n 2,\n 330\n ),\n columnWidthRequest(\n sheetIds.diferenciasNombreBanco,\n 2,\n 3,\n 155\n ),\n columnWidthRequest(\n sheetIds.diferenciasNombreBanco,\n 3,\n 4,\n 95\n ),\n columnWidthRequest(\n sheetIds.diferenciasNombreBanco,\n 4,\n 5,\n 140\n ),\n columnWidthRequest(\n sheetIds.diferenciasNombreBanco,\n 5,\n 7,\n 150\n ),\n columnWidthRequest(\n sheetIds.diferenciasNombreBanco,\n 7,\n 8,\n 260\n ),\n columnWidthRequest(\n sheetIds.diferenciasNombreBanco,\n 8,\n 9,\n 170\n ),\n columnWidthRequest(\n sheetIds.diferenciasNombreBanco,\n 9,\n 10,\n 650\n ),\n columnWidthRequest(\n sheetIds.diferenciasNombreBanco,\n 10,\n 11,\n 320\n ),\n autoResizeRowsRequest(\n sheetIds.diferenciasNombreBanco,\n 0,\n 1\n ),\n ...(diferenciasNombreRows.length > 0\n ? [\n wrapRangeRequest(\n sheetIds.diferenciasNombreBanco,\n 1,\n diferenciasNombreEndRow,\n 0,\n 11\n ),\n autoResizeRowsRequest(\n sheetIds.diferenciasNombreBanco,\n 1,\n diferenciasNombreEndRow\n ),\n ]\n : []),\n\n // 05 Cuenta Mal Digitada\n ...(hasCuentaMalDigitada\n ? [\n columnWidthRequest(\n sheetIds.cuentaMalDigitada,\n 1,\n 2,\n 300\n ),\n columnWidthRequest(\n sheetIds.cuentaMalDigitada,\n 2,\n 3,\n 600\n ),\n columnWidthRequest(\n sheetIds.cuentaMalDigitada,\n 3,\n 4,\n 320\n ),\n ]\n : []),\n\n // Resumen\n columnWidthRequest(\n sheetIds.resumen,\n 0,\n 1,\n 380\n ),\n columnWidthRequest(\n sheetIds.resumen,\n 1,\n 2,\n 320\n ),\n autoResizeRowsRequest(\n sheetIds.resumen,\n 0,\n 1\n ),\n ...(resumenRows.length > 0\n ? [\n wrapRangeRequest(\n sheetIds.resumen,\n 1,\n resumenReadabilityEndRow,\n 0,\n 2\n ),\n autoResizeRowsRequest(\n sheetIds.resumen,\n 1,\n resumenReadabilityEndRow\n ),\n ]\n : [])\n);\n\n\nreturn [\n {\n json: {\n ok: true,\n stage: 'preparar_google_sheet',\n metadata,\n summary,\n spreadsheetTitle,\n sheetIds,\n sheetTitles,\n createSpreadsheetBody: {\n properties: {\n title: spreadsheetTitle,\n },\n sheets: [\n {\n properties: {\n sheetId: sheetIds.nominaVsBanco,\n title: sheetTitles.nominaVsBanco,\n },\n },\n {\n properties: {\n sheetId: sheetIds.bancoSinNomina,\n title: sheetTitles.bancoSinNomina,\n },\n },\n {\n properties: {\n sheetId: sheetIds.bancoSinBamboo,\n title: sheetTitles.bancoSinBamboo,\n },\n },\n {\n properties: {\n sheetId:\n sheetIds.diferenciasNombreBanco,\n title:\n sheetTitles.diferenciasNombreBanco,\n },\n },\n ...(hasCuentaMalDigitada\n ? [\n {\n properties: {\n sheetId:\n sheetIds.cuentaMalDigitada,\n title:\n sheetTitles.cuentaMalDigitada,\n },\n },\n ]\n : []),\n {\n properties: {\n sheetId: sheetIds.resumen,\n title: sheetTitles.resumen,\n },\n },\n ],\n },\n valueBatchBody: {\n valueInputOption: 'USER_ENTERED',\n data: valueData,\n },\n formatBatchBody: {\n requests: formatRequests,\n },\n originalResponse: data,\n },\n },\n];" + "jsCode": "const data = $input.first().json || {};\n\nfunction normalizeText(value) {\n return String(value ?? '')\n .replace(/\\uFEFF/g, '')\n .replace(/\\s+/g, ' ')\n .trim();\n}\n\nfunction roundMoney(value) {\n return Math.round((Number(value) || 0) * 100) / 100;\n}\n\nfunction readableCategory(value) {\n const map = {\n coincidencia: 'Coincidencia',\n discrepancia: 'Discrepancia',\n posible_cuenta_mal_digitada: 'Posible cuenta mal digitada',\n banco_sin_nomina: 'Banco sin nómina',\n banco_sin_bamboo: 'Banco sin Bamboo',\n nomina_sin_cuenta: 'Nómina sin cuenta',\n diferencia_nombre_banco: 'Diferencia nombre banco',\n };\n\n return map[value] || normalizeText(value).replace(/_/g, ' ');\n}\n\nfunction firstValue(value) {\n if (Array.isArray(value)) {\n return value.filter(Boolean).join(' / ');\n }\n\n return normalizeText(value);\n}\n\nfunction formatPeriodEnd(value) {\n const raw = normalizeText(value);\n\n if (!/^\\d{4}-\\d{2}-\\d{2}$/.test(raw)) {\n return raw;\n }\n\n const [year, month, day] = raw.split('-');\n const monthNames = {\n '01': 'ene',\n '02': 'feb',\n '03': 'mar',\n '04': 'abr',\n '05': 'may',\n '06': 'jun',\n '07': 'jul',\n '08': 'ago',\n '09': 'sep',\n '10': 'oct',\n '11': 'nov',\n '12': 'dic',\n };\n\n return `${day}-${monthNames[month] || month}-${year}`;\n}\n\nfunction mainReportSense(row, difference) {\n const category = normalizeText(row.category).toLowerCase();\n const subcategory = normalizeText(row.subcategory).toLowerCase();\n\n if (category === 'posible_cuenta_mal_digitada') {\n return 'Revisar cuenta';\n }\n\n if (\n subcategory === 'nomina_con_cuenta_sin_pago_banco' ||\n (Number(row.bank_amount ?? row.bankAmount ?? 0) === 0 &&\n Number(row.payroll_amount ?? row.payrollAmount ?? 0) > 0)\n ) {\n return 'No aparece pagado en banco';\n }\n\n if (difference > 0) {\n return 'Se pagó de menos';\n }\n\n if (difference < 0) {\n return 'Se pagó de más';\n }\n\n return 'Revisar';\n}\n\nconst metadata = data.metadata || {};\nconst summary = data.summary || {};\nconst rows = Array.isArray(data.rows) ? data.rows : [];\nconst bankWithoutBamboo = Array.isArray(data.bankWithoutBamboo)\n ? data.bankWithoutBamboo\n : [];\n\nconst periodLabel =\n metadata.period_label ||\n `${metadata.year || ''}-${metadata.month || ''}-${metadata.period_type || ''}`;\n\nconst spreadsheetTitle =\n `Cruce de Cuentas GLM GT - ${periodLabel}`;\n\nconst mainReportSubtitle =\n `Diferencias de Monto Nómina vs. Banco · Guatemala · ${\n formatPeriodEnd(metadata.period_end || '')\n }`;\n\nconst bancoSinBambooSubtitle =\n `Pagos en banco sin empleado identificado en BambooHR · Guatemala · ${\n formatPeriodEnd(metadata.period_end || '')\n }`;\n\nconst cuentaMalDigitadaSubtitle =\n `Cuenta Mal Digitada en Nómina · Guatemala · ${\n formatPeriodEnd(metadata.period_end || '')\n }`;\n\nconst cuentaMalDigitadaCases = rows.filter(\n (row) => row.category === 'posible_cuenta_mal_digitada'\n);\n\nconst hasCuentaMalDigitada =\n cuentaMalDigitadaCases.length > 0;\n\nconst sheetIds = {\n nominaVsBanco: 101,\n bancoSinNomina: 102,\n bancoSinBamboo: 103,\n diferenciasNombreBanco: 104,\n cuentaMalDigitada: 105,\n resumen: 106,\n};\n\nconst sheetTitles = {\n nominaVsBanco: '01 Nómina vs Banco',\n bancoSinNomina: '02 Banco sin Nómina',\n bancoSinBamboo: '03 Banco sin Bamboo',\n diferenciasNombreBanco: '04 Diferencias nombre banco',\n cuentaMalDigitada: '05 Cuenta Mal Digitada',\n resumen: hasCuentaMalDigitada\n ? '06 Resumen'\n : '05 Resumen',\n};\n\nconst nominaVsBancoHeader = [\n '#',\n 'Empleado',\n 'Cuenta',\n 'Monto en Nómina (Q)',\n 'Monto en Banco (Q)',\n 'Diferencia (Q)',\n 'Sentido',\n 'Estado',\n 'Resolución',\n];\n\nconst mainReportRows = rows\n .filter((row) => row.category === 'discrepancia')\n .map((row, index) => {\n const payrollAmount = roundMoney(\n row.payroll_amount ?? row.payrollAmount ?? 0\n );\n const bankAmount = roundMoney(\n row.bank_amount ?? row.bankAmount ?? 0\n );\n const difference = roundMoney(\n row.difference ?? (payrollAmount - bankAmount)\n );\n\n return [\n index + 1,\n normalizeText(row.employee_name || row.employee || ''),\n normalizeText(\n row.bank_account ||\n row.bankAccount ||\n row.payroll_account ||\n row.payrollAccount ||\n row.account ||\n ''\n ),\n payrollAmount,\n bankAmount,\n difference,\n mainReportSense(row, difference),\n normalizeText(row.status || 'Riesgo').toUpperCase(),\n '',\n ];\n });\n\nconst nominaVsBancoValues = [\n [\n 'GOMEZLEE MARKETING',\n '',\n '',\n '',\n '',\n '',\n '',\n '',\n '',\n ],\n [\n mainReportSubtitle,\n '',\n '',\n '',\n '',\n '',\n '',\n '',\n '',\n ],\n ['', '', '', '', '', '', '', '', ''],\n nominaVsBancoHeader,\n ...mainReportRows,\n];\n\nconst bancoSinNominaHeader = [\n 'Empleado Banco',\n 'Cuenta Banco',\n 'Moneda',\n 'Monto Banco',\n 'Estado',\n 'Observación',\n 'Resolución',\n];\n\nconst bancoSinNominaRows = rows\n .filter((row) => row.category === 'banco_sin_nomina')\n .map((row) => [\n normalizeText(row.employee_name || row.employee || ''),\n normalizeText(\n row.bank_account ||\n row.bankAccount ||\n row.account ||\n ''\n ),\n normalizeText(row.currency || 'QTZ'),\n roundMoney(row.bank_amount ?? row.bankAmount ?? 0),\n normalizeText(row.status || ''),\n normalizeText(row.observation || ''),\n '',\n ]);\n\nconst bancoSinBambooHeader = [\n '#',\n 'Nombre en banco',\n 'Nombre del cuentahabiente',\n 'Cuenta',\n 'Monto en banco (Q)',\n 'Número de envío',\n 'Estado',\n 'Resolución',\n];\n\nconst bancoSinBambooRows = bankWithoutBamboo.map((row, index) => [\n index + 1,\n normalizeText(row.bank_name_file || row.employee_name || ''),\n normalizeText(row.bank_account_holder || ''),\n normalizeText(\n row.bank_account ||\n row.bankAccount ||\n row.account ||\n ''\n ),\n roundMoney(row.bank_amount ?? row.bankAmount ?? 0),\n firstValue(row.shipment_numbers || row.shipment_number || ''),\n 'PENDIENTE REVISIÓN',\n '',\n]);\n\nconst bancoSinBambooValues = [\n [\n 'GOMEZLEE MARKETING',\n '',\n '',\n '',\n '',\n '',\n '',\n '',\n ],\n [\n bancoSinBambooSubtitle,\n '',\n '',\n '',\n '',\n '',\n '',\n '',\n ],\n ['', '', '', '', '', '', '', ''],\n bancoSinBambooHeader,\n ...bancoSinBambooRows,\n];\n\nconst diferenciasNombreHeader = [\n 'Nombre en Archivo',\n 'Nombre del Cuentahabiente',\n 'Cuenta Destino',\n 'Moneda',\n 'Monto',\n 'Número de envío',\n 'Número de plan',\n 'Archivo',\n 'Estado',\n 'Observación',\n 'Resolución',\n];\n\nconst diferenciasNombreRows = rows\n .filter((row) => row.category === 'diferencia_nombre_banco')\n .map((row) => [\n normalizeText(row.bank_name_file || row.employee_name || ''),\n normalizeText(row.bank_account_holder || ''),\n normalizeText(\n row.bank_account ||\n row.bankAccount ||\n row.account ||\n ''\n ),\n normalizeText(row.currency || 'QTZ'),\n roundMoney(row.bank_amount ?? row.bankAmount ?? 0),\n normalizeText(row.shipment_number || ''),\n normalizeText(row.plan_number || ''),\n normalizeText(row.source_file || ''),\n normalizeText(row.status || ''),\n normalizeText(row.observation || ''),\n '',\n ]);\n\n\nfunction accountValues(value) {\n const values = Array.isArray(value)\n ? value\n : String(value ?? '')\n .split(/\\s*(?:\\/|;|,|\\by\\b)\\s*/i);\n\n return values\n .map((item) =>\n String(item ?? '')\n .replace(/\\.0$/g, '')\n .replace(/\\D/g, '')\n .trim()\n )\n .filter((item) =>\n item.length >= 7 &&\n !/^0+$/.test(item)\n );\n}\n\nfunction payrollAccountsForWrongAccount(row) {\n const candidates = [\n row.payroll_account,\n row.payrollAccount,\n ...(Array.isArray(row.source_rows)\n ? row.source_rows.flatMap((sourceRow) => [\n sourceRow.account,\n sourceRow.payroll_account,\n sourceRow.payrollAccount,\n ])\n : []),\n ];\n\n return Array.from(new Set(\n candidates.flatMap(accountValues)\n ));\n}\n\nfunction bankAccountForWrongAccount(row) {\n return firstValue(\n row.bank_account ||\n row.bankAccount ||\n row.account ||\n ''\n );\n}\n\nfunction wrongAccountTotalStatus(row) {\n const payrollAmount = roundMoney(\n row.payroll_amount ?? row.payrollAmount ?? 0\n );\n const bankAmount = roundMoney(\n row.bank_amount ?? row.bankAmount ?? 0\n );\n const difference = roundMoney(\n payrollAmount - bankAmount\n );\n\n if (Math.abs(difference) <= 0.02) {\n return 'El total de nómina coincide con el total del banco.';\n }\n\n if (difference > 0) {\n return (\n `El total de nómina supera el total del banco por ` +\n `Q${Math.abs(difference).toLocaleString('en-US', {\n minimumFractionDigits: 2,\n maximumFractionDigits: 2,\n })}.`\n );\n }\n\n return (\n `El total pagado por el banco supera el total de nómina por ` +\n `Q${Math.abs(difference).toLocaleString('en-US', {\n minimumFractionDigits: 2,\n maximumFractionDigits: 2,\n })}.`\n );\n}\n\nfunction wrongAccountFinding(row) {\n const existing = normalizeText(row.observation || '');\n\n if (existing) {\n return existing;\n }\n\n const payrollAccounts =\n payrollAccountsForWrongAccount(row);\n const bankAccount =\n bankAccountForWrongAccount(row);\n\n return (\n `El empleado presenta una posible inconsistencia entre ` +\n `la cuenta registrada en nómina ` +\n `(${payrollAccounts.join(' y ') || 'sin cuenta identificada'}) ` +\n `y la cuenta utilizada por el banco ` +\n `(${bankAccount || 'sin cuenta identificada'}).`\n );\n}\n\nconst cuentaMalDigitadaHeader = [\n '#',\n 'Campo',\n 'Detalle',\n 'Resolución',\n];\n\nconst cuentaMalDigitadaRows = [];\n\nfor (\n let index = 0;\n index < cuentaMalDigitadaCases.length;\n index++\n) {\n const row = cuentaMalDigitadaCases[index];\n const payrollAccounts =\n payrollAccountsForWrongAccount(row);\n const bankAccount =\n bankAccountForWrongAccount(row);\n\n const fields = [\n [\n 'Empleado',\n normalizeText(\n row.employee_name ||\n row.employee ||\n ''\n ),\n ],\n [\n 'Cuentas registradas en las hojas de nómina',\n payrollAccounts.join(' y ') ||\n 'No se identificó una cuenta válida en la nómina.',\n ],\n [\n 'Cuenta utilizada por el banco',\n bankAccount ||\n 'No se identificó una cuenta válida en el banco.',\n ],\n [\n 'Estado del total',\n wrongAccountTotalStatus(row),\n ],\n [\n 'Hallazgo',\n wrongAccountFinding(row),\n ],\n [\n 'Clasificación',\n 'Posible cuenta mal digitada — revisar y unificar la cuenta en las hojas de nómina.',\n ],\n ];\n\n fields.forEach((field, fieldIndex) => {\n cuentaMalDigitadaRows.push([\n fieldIndex === 0 ? index + 1 : '',\n field[0],\n field[1],\n '',\n ]);\n });\n}\n\nconst cuentaMalDigitadaValues = [\n [\n 'GOMEZLEE MARKETING',\n '',\n '',\n '',\n ],\n [\n cuentaMalDigitadaSubtitle,\n '',\n '',\n '',\n ],\n ['', '', '', ''],\n cuentaMalDigitadaHeader,\n ...cuentaMalDigitadaRows,\n];\n\nconst resumenHeader = ['Indicador', 'Valor'];\nconst resumenRows = [\n ['Período', periodLabel],\n ['Coincidencias', Number(summary.coincidencias || 0)],\n ['Discrepancias', Number(summary.discrepancias || 0)],\n ['Banco sin nómina', Number(summary.bancoSinNomina || 0)],\n ['Banco sin Bamboo', Number(summary.bancoSinBamboo || 0)],\n ['Nómina sin cuenta', Number(summary.nominaSinCuenta || 0)],\n [\n 'Diferencias nombre banco',\n Number(summary.diferenciasNombreBanco || 0),\n ],\n [\n 'Posibles cuentas mal digitadas',\n Number(summary.posiblesCuentasMalDigitadas || 0),\n ],\n ['Pendientes cruce principal', Number(summary.pendientes || 0)],\n [\n 'Empleados BambooHR Guatemala',\n Number(summary.empleadosBambooGT || 0),\n ],\n [\n 'Empleados BambooHR en el período',\n Number(summary.empleadosBambooEnPeriodo || 0),\n ],\n ['Filas válidas de nómina', Number(summary.filasNominaValidas || 0)],\n [\n 'Suplementos adjuntados',\n Number(summary.suplementosNominaAdjuntados || 0),\n ],\n [\n 'Suplementos sin coincidencia',\n Number(summary.suplementosNominaNoAdjuntados || 0),\n ],\n ['Transacciones bancarias', Number(summary.transaccionesBanco || 0)],\n ['Total nómina', roundMoney(summary.totalNomina || 0)],\n ['Total banco', roundMoney(summary.totalBanco || 0)],\n ['Diferencia total', roundMoney(summary.diferenciaTotal || 0)],\n];\n\nfunction buildSheetValues(header, bodyRows) {\n return [header, ...bodyRows];\n}\n\nconst valueData = [\n {\n range: `'${sheetTitles.nominaVsBanco}'!A1:I`,\n values: nominaVsBancoValues,\n },\n {\n range: `'${sheetTitles.bancoSinNomina}'!A1:G`,\n values: buildSheetValues(\n bancoSinNominaHeader,\n bancoSinNominaRows\n ),\n },\n {\n range: `'${sheetTitles.bancoSinBamboo}'!A1:H`,\n values: bancoSinBambooValues,\n },\n {\n range: `'${sheetTitles.diferenciasNombreBanco}'!A1:K`,\n values: buildSheetValues(\n diferenciasNombreHeader,\n diferenciasNombreRows\n ),\n },\n ...(hasCuentaMalDigitada\n ? [\n {\n range:\n `'${sheetTitles.cuentaMalDigitada}'!A1:D`,\n values: cuentaMalDigitadaValues,\n },\n ]\n : []),\n {\n range: `'${sheetTitles.resumen}'!A1:B`,\n values: buildSheetValues(\n resumenHeader,\n resumenRows\n ),\n },\n];\n\nfunction headerFormatRequest(\n sheetId,\n endColumnIndex,\n startRowIndex = 0\n) {\n return {\n repeatCell: {\n range: {\n sheetId,\n startRowIndex,\n endRowIndex: startRowIndex + 1,\n startColumnIndex: 0,\n endColumnIndex,\n },\n cell: {\n userEnteredFormat: {\n backgroundColor: {\n red: 0.29,\n green: 0.49,\n blue: 0.58,\n },\n textFormat: {\n bold: true,\n foregroundColor: {\n red: 1,\n green: 1,\n blue: 1,\n },\n },\n horizontalAlignment: 'CENTER',\n verticalAlignment: 'MIDDLE',\n wrapStrategy: 'WRAP',\n },\n },\n fields:\n 'userEnteredFormat(backgroundColor,textFormat,horizontalAlignment,verticalAlignment,wrapStrategy)',\n },\n };\n}\n\nfunction freezeHeaderRequest(sheetId, frozenRowCount = 1) {\n return {\n updateSheetProperties: {\n properties: {\n sheetId,\n gridProperties: {\n frozenRowCount,\n },\n },\n fields: 'gridProperties.frozenRowCount',\n },\n };\n}\n\nfunction autoResizeRequest(sheetId, endColumnIndex) {\n return {\n autoResizeDimensions: {\n dimensions: {\n sheetId,\n dimension: 'COLUMNS',\n startIndex: 0,\n endIndex: endColumnIndex,\n },\n },\n };\n}\n\nfunction moneyFormatRequest(\n sheetId,\n startColumnIndex,\n endColumnIndex,\n startRowIndex = 1,\n pattern = '#,##0.00',\n endRowIndex = null\n) {\n const range = {\n sheetId,\n startRowIndex,\n startColumnIndex,\n endColumnIndex,\n };\n\n if (Number.isInteger(endRowIndex)) {\n range.endRowIndex = endRowIndex;\n }\n\n return {\n repeatCell: {\n range,\n cell: {\n userEnteredFormat: {\n numberFormat: {\n type: 'NUMBER',\n pattern,\n },\n },\n },\n fields: 'userEnteredFormat.numberFormat',\n },\n };\n}\n\nfunction basicFilterRequest(\n sheetId,\n endColumnIndex,\n startRowIndex = 0,\n endRowIndex = null\n) {\n const range = {\n sheetId,\n startRowIndex,\n startColumnIndex: 0,\n endColumnIndex,\n };\n\n if (Number.isInteger(endRowIndex)) {\n range.endRowIndex = endRowIndex;\n }\n\n return {\n setBasicFilter: {\n filter: {\n range,\n },\n },\n };\n}\n\nfunction mergeRowRequest(\n sheetId,\n rowIndex,\n endColumnIndex\n) {\n return {\n mergeCells: {\n range: {\n sheetId,\n startRowIndex: rowIndex,\n endRowIndex: rowIndex + 1,\n startColumnIndex: 0,\n endColumnIndex,\n },\n mergeType: 'MERGE_ALL',\n },\n };\n}\n\nfunction titleRowFormatRequest(\n sheetId,\n rowIndex,\n endColumnIndex,\n options = {}\n) {\n const {\n fontSize = 12,\n bold = true,\n italic = false,\n horizontalAlignment = 'LEFT',\n } = options;\n\n return {\n repeatCell: {\n range: {\n sheetId,\n startRowIndex: rowIndex,\n endRowIndex: rowIndex + 1,\n startColumnIndex: 0,\n endColumnIndex,\n },\n cell: {\n userEnteredFormat: {\n backgroundColor: {\n red: 0.29,\n green: 0.49,\n blue: 0.58,\n },\n textFormat: {\n bold,\n italic,\n fontSize,\n foregroundColor: {\n red: 1,\n green: 1,\n blue: 1,\n },\n },\n horizontalAlignment,\n verticalAlignment: 'MIDDLE',\n },\n },\n fields:\n 'userEnteredFormat(backgroundColor,textFormat,horizontalAlignment,verticalAlignment)',\n },\n };\n}\n\nfunction columnWidthRequest(\n sheetId,\n startIndex,\n endIndex,\n pixelSize\n) {\n return {\n updateDimensionProperties: {\n range: {\n sheetId,\n dimension: 'COLUMNS',\n startIndex,\n endIndex,\n },\n properties: {\n pixelSize,\n },\n fields: 'pixelSize',\n },\n };\n}\n\nfunction rowHeightRequest(\n sheetId,\n startIndex,\n endIndex,\n pixelSize\n) {\n return {\n updateDimensionProperties: {\n range: {\n sheetId,\n dimension: 'ROWS',\n startIndex,\n endIndex,\n },\n properties: {\n pixelSize,\n },\n fields: 'pixelSize',\n },\n };\n}\n\nfunction bodyAlignmentRequest(\n sheetId,\n startColumnIndex,\n endColumnIndex,\n horizontalAlignment,\n endRowIndex\n) {\n return {\n repeatCell: {\n range: {\n sheetId,\n startRowIndex: 4,\n endRowIndex,\n startColumnIndex,\n endColumnIndex,\n },\n cell: {\n userEnteredFormat: {\n horizontalAlignment,\n verticalAlignment: 'MIDDLE',\n wrapStrategy: 'WRAP',\n },\n },\n fields:\n 'userEnteredFormat(horizontalAlignment,verticalAlignment,wrapStrategy)',\n },\n };\n}\n\nfunction statusFormatRequest(sheetId, endRowIndex) {\n return {\n repeatCell: {\n range: {\n sheetId,\n startRowIndex: 4,\n endRowIndex,\n startColumnIndex: 7,\n endColumnIndex: 8,\n },\n cell: {\n userEnteredFormat: {\n backgroundColor: {\n red: 1,\n green: 0.92,\n blue: 0.92,\n },\n textFormat: {\n bold: true,\n foregroundColor: {\n red: 0.85,\n green: 0.08,\n blue: 0.08,\n },\n },\n horizontalAlignment: 'CENTER',\n verticalAlignment: 'MIDDLE',\n },\n },\n fields:\n 'userEnteredFormat(backgroundColor,textFormat,horizontalAlignment,verticalAlignment)',\n },\n };\n}\n\nfunction bambooStatusFormatRequest(\n sheetId,\n endRowIndex\n) {\n return {\n repeatCell: {\n range: {\n sheetId,\n startRowIndex: 4,\n endRowIndex,\n startColumnIndex: 6,\n endColumnIndex: 7,\n },\n cell: {\n userEnteredFormat: {\n backgroundColor: {\n red: 1,\n green: 0.97,\n blue: 0.82,\n },\n textFormat: {\n bold: true,\n foregroundColor: {\n red: 0.70,\n green: 0.30,\n blue: 0.00,\n },\n },\n horizontalAlignment: 'CENTER',\n verticalAlignment: 'MIDDLE',\n wrapStrategy: 'WRAP',\n },\n },\n fields:\n 'userEnteredFormat(backgroundColor,textFormat,horizontalAlignment,verticalAlignment,wrapStrategy)',\n },\n };\n}\n\n\nfunction mergeVerticalRequest(\n sheetId,\n startRowIndex,\n endRowIndex,\n columnIndex\n) {\n return {\n mergeCells: {\n range: {\n sheetId,\n startRowIndex,\n endRowIndex,\n startColumnIndex: columnIndex,\n endColumnIndex: columnIndex + 1,\n },\n mergeType: 'MERGE_ALL',\n },\n };\n}\n\nfunction rangeFormatRequest(\n sheetId,\n startRowIndex,\n endRowIndex,\n startColumnIndex,\n endColumnIndex,\n userEnteredFormat\n) {\n return {\n repeatCell: {\n range: {\n sheetId,\n startRowIndex,\n endRowIndex,\n startColumnIndex,\n endColumnIndex,\n },\n cell: {\n userEnteredFormat,\n },\n fields:\n 'userEnteredFormat(backgroundColor,textFormat,horizontalAlignment,verticalAlignment,wrapStrategy)',\n },\n };\n}\n\nfunction conditionalDifferenceRequest(\n sheetId,\n formula,\n backgroundColor,\n textColor,\n ranges,\n index\n) {\n return {\n addConditionalFormatRule: {\n index,\n rule: {\n ranges,\n booleanRule: {\n condition: {\n type: 'CUSTOM_FORMULA',\n values: [\n {\n userEnteredValue: formula,\n },\n ],\n },\n format: {\n backgroundColor,\n textFormat: {\n bold: true,\n foregroundColor: textColor,\n },\n },\n },\n },\n },\n };\n}\n\nfunction borderRequest(\n sheetId,\n startRowIndex,\n endRowIndex,\n endColumnIndex\n) {\n const border = {\n style: 'SOLID',\n color: {\n red: 0.72,\n green: 0.82,\n blue: 0.76,\n },\n };\n\n return {\n updateBorders: {\n range: {\n sheetId,\n startRowIndex,\n endRowIndex,\n startColumnIndex: 0,\n endColumnIndex,\n },\n top: border,\n bottom: border,\n left: border,\n right: border,\n innerHorizontal: border,\n innerVertical: border,\n },\n };\n}\n\nconst mainReportEndRow = Math.max(\n 4 + mainReportRows.length,\n 4\n);\n\nconst bancoSinBambooEndRow = Math.max(\n 4 + bancoSinBambooRows.length,\n 4\n);\n\nconst mainConditionalRanges = mainReportRows.length\n ? [\n {\n sheetId: sheetIds.nominaVsBanco,\n startRowIndex: 4,\n endRowIndex: mainReportEndRow,\n startColumnIndex: 5,\n endColumnIndex: 7,\n },\n ]\n : [];\n\nconst mainDataFormatRequests = mainReportRows.length\n ? [\n moneyFormatRequest(\n sheetIds.nominaVsBanco,\n 3,\n 6,\n 4,\n 'Q#,##0.00;[Red](Q#,##0.00)',\n mainReportEndRow\n ),\n bodyAlignmentRequest(\n sheetIds.nominaVsBanco,\n 0,\n 1,\n 'CENTER',\n mainReportEndRow\n ),\n bodyAlignmentRequest(\n sheetIds.nominaVsBanco,\n 1,\n 2,\n 'LEFT',\n mainReportEndRow\n ),\n bodyAlignmentRequest(\n sheetIds.nominaVsBanco,\n 2,\n 3,\n 'CENTER',\n mainReportEndRow\n ),\n bodyAlignmentRequest(\n sheetIds.nominaVsBanco,\n 3,\n 6,\n 'RIGHT',\n mainReportEndRow\n ),\n bodyAlignmentRequest(\n sheetIds.nominaVsBanco,\n 6,\n 8,\n 'CENTER',\n mainReportEndRow\n ),\n bodyAlignmentRequest(\n sheetIds.nominaVsBanco,\n 8,\n 9,\n 'LEFT',\n mainReportEndRow\n ),\n statusFormatRequest(\n sheetIds.nominaVsBanco,\n mainReportEndRow\n ),\n conditionalDifferenceRequest(\n sheetIds.nominaVsBanco,\n '=$F5>0',\n {\n red: 1,\n green: 0.97,\n blue: 0.82,\n },\n {\n red: 0.25,\n green: 0.25,\n blue: 0.25,\n },\n mainConditionalRanges,\n 0\n ),\n conditionalDifferenceRequest(\n sheetIds.nominaVsBanco,\n '=$F5<0',\n {\n red: 1,\n green: 0.89,\n blue: 0.89,\n },\n {\n red: 0.9,\n green: 0.05,\n blue: 0.05,\n },\n mainConditionalRanges,\n 1\n ),\n rowHeightRequest(\n sheetIds.nominaVsBanco,\n 4,\n mainReportEndRow,\n 28\n ),\n ]\n : [];\n\n\nconst cuentaMalDigitadaEndRow = Math.max(\n 4 + cuentaMalDigitadaRows.length,\n 4\n);\n\nconst cuentaMalDigitadaCaseRequests =\n hasCuentaMalDigitada\n ? cuentaMalDigitadaCases.flatMap(\n (_, caseIndex) => {\n const startRowIndex =\n 4 + caseIndex * 6;\n const endRowIndex =\n startRowIndex + 6;\n\n return [\n mergeVerticalRequest(\n sheetIds.cuentaMalDigitada,\n startRowIndex,\n endRowIndex,\n 0\n ),\n mergeVerticalRequest(\n sheetIds.cuentaMalDigitada,\n startRowIndex,\n endRowIndex,\n 3\n ),\n rowHeightRequest(\n sheetIds.cuentaMalDigitada,\n startRowIndex,\n startRowIndex + 4,\n 34\n ),\n rowHeightRequest(\n sheetIds.cuentaMalDigitada,\n startRowIndex + 4,\n startRowIndex + 5,\n 76\n ),\n rowHeightRequest(\n sheetIds.cuentaMalDigitada,\n startRowIndex + 5,\n endRowIndex,\n 54\n ),\n rangeFormatRequest(\n sheetIds.cuentaMalDigitada,\n startRowIndex + 4,\n startRowIndex + 5,\n 2,\n 3,\n {\n backgroundColor: {\n red: 0.97,\n green: 0.97,\n blue: 0.97,\n },\n horizontalAlignment: 'LEFT',\n verticalAlignment: 'MIDDLE',\n wrapStrategy: 'WRAP',\n }\n ),\n rangeFormatRequest(\n sheetIds.cuentaMalDigitada,\n startRowIndex + 5,\n endRowIndex,\n 2,\n 3,\n {\n backgroundColor: {\n red: 1,\n green: 0.97,\n blue: 0.82,\n },\n textFormat: {\n bold: true,\n foregroundColor: {\n red: 0.55,\n green: 0.30,\n blue: 0.00,\n },\n },\n horizontalAlignment: 'LEFT',\n verticalAlignment: 'MIDDLE',\n wrapStrategy: 'WRAP',\n }\n ),\n ];\n }\n )\n : [];\n\nconst cuentaMalDigitadaFormatRequests =\n hasCuentaMalDigitada\n ? [\n mergeRowRequest(\n sheetIds.cuentaMalDigitada,\n 0,\n 4\n ),\n mergeRowRequest(\n sheetIds.cuentaMalDigitada,\n 1,\n 4\n ),\n titleRowFormatRequest(\n sheetIds.cuentaMalDigitada,\n 0,\n 4,\n {\n fontSize: 12,\n bold: true,\n italic: false,\n horizontalAlignment: 'LEFT',\n }\n ),\n titleRowFormatRequest(\n sheetIds.cuentaMalDigitada,\n 1,\n 4,\n {\n fontSize: 10,\n bold: false,\n italic: true,\n horizontalAlignment: 'LEFT',\n }\n ),\n headerFormatRequest(\n sheetIds.cuentaMalDigitada,\n 4,\n 3\n ),\n freezeHeaderRequest(\n sheetIds.cuentaMalDigitada,\n 4\n ),\n borderRequest(\n sheetIds.cuentaMalDigitada,\n 3,\n cuentaMalDigitadaEndRow,\n 4\n ),\n rowHeightRequest(\n sheetIds.cuentaMalDigitada,\n 0,\n 1,\n 30\n ),\n rowHeightRequest(\n sheetIds.cuentaMalDigitada,\n 1,\n 2,\n 26\n ),\n rowHeightRequest(\n sheetIds.cuentaMalDigitada,\n 3,\n 4,\n 40\n ),\n rangeFormatRequest(\n sheetIds.cuentaMalDigitada,\n 4,\n cuentaMalDigitadaEndRow,\n 0,\n 1,\n {\n backgroundColor: {\n red: 0.91,\n green: 0.95,\n blue: 0.99,\n },\n textFormat: {\n bold: true,\n foregroundColor: {\n red: 0.20,\n green: 0.36,\n blue: 0.45,\n },\n },\n horizontalAlignment: 'CENTER',\n verticalAlignment: 'MIDDLE',\n wrapStrategy: 'WRAP',\n }\n ),\n rangeFormatRequest(\n sheetIds.cuentaMalDigitada,\n 4,\n cuentaMalDigitadaEndRow,\n 1,\n 2,\n {\n backgroundColor: {\n red: 0.93,\n green: 0.97,\n blue: 0.90,\n },\n textFormat: {\n bold: true,\n foregroundColor: {\n red: 0.20,\n green: 0.36,\n blue: 0.45,\n },\n },\n horizontalAlignment: 'LEFT',\n verticalAlignment: 'MIDDLE',\n wrapStrategy: 'WRAP',\n }\n ),\n rangeFormatRequest(\n sheetIds.cuentaMalDigitada,\n 4,\n cuentaMalDigitadaEndRow,\n 2,\n 3,\n {\n horizontalAlignment: 'LEFT',\n verticalAlignment: 'MIDDLE',\n wrapStrategy: 'WRAP',\n }\n ),\n rangeFormatRequest(\n sheetIds.cuentaMalDigitada,\n 4,\n cuentaMalDigitadaEndRow,\n 3,\n 4,\n {\n horizontalAlignment: 'LEFT',\n verticalAlignment: 'MIDDLE',\n wrapStrategy: 'WRAP',\n }\n ),\n columnWidthRequest(\n sheetIds.cuentaMalDigitada,\n 0,\n 1,\n 48\n ),\n columnWidthRequest(\n sheetIds.cuentaMalDigitada,\n 1,\n 2,\n 285\n ),\n columnWidthRequest(\n sheetIds.cuentaMalDigitada,\n 2,\n 3,\n 520\n ),\n columnWidthRequest(\n sheetIds.cuentaMalDigitada,\n 3,\n 4,\n 260\n ),\n ...cuentaMalDigitadaCaseRequests,\n ]\n : [];\n\n\nfunction wrapRangeRequest(\n sheetId,\n startRowIndex,\n endRowIndex,\n startColumnIndex,\n endColumnIndex\n) {\n return {\n repeatCell: {\n range: {\n sheetId,\n startRowIndex,\n endRowIndex,\n startColumnIndex,\n endColumnIndex,\n },\n cell: {\n userEnteredFormat: {\n verticalAlignment: 'MIDDLE',\n wrapStrategy: 'WRAP',\n },\n },\n fields:\n 'userEnteredFormat(verticalAlignment,wrapStrategy)',\n },\n };\n}\n\nfunction autoResizeRowsRequest(\n sheetId,\n startIndex,\n endIndex\n) {\n return {\n autoResizeDimensions: {\n dimensions: {\n sheetId,\n dimension: 'ROWS',\n startIndex,\n endIndex,\n },\n },\n };\n}\n\nconst formatRequests = [\n mergeRowRequest(sheetIds.nominaVsBanco, 0, 9),\n mergeRowRequest(sheetIds.nominaVsBanco, 1, 9),\n titleRowFormatRequest(\n sheetIds.nominaVsBanco,\n 0,\n 9,\n {\n fontSize: 12,\n bold: true,\n italic: false,\n horizontalAlignment: 'LEFT',\n }\n ),\n titleRowFormatRequest(\n sheetIds.nominaVsBanco,\n 1,\n 9,\n {\n fontSize: 10,\n bold: false,\n italic: true,\n horizontalAlignment: 'LEFT',\n }\n ),\n headerFormatRequest(\n sheetIds.nominaVsBanco,\n 9,\n 3\n ),\n freezeHeaderRequest(\n sheetIds.nominaVsBanco,\n 4\n ),\n basicFilterRequest(\n sheetIds.nominaVsBanco,\n 9,\n 3,\n mainReportEndRow\n ),\n borderRequest(\n sheetIds.nominaVsBanco,\n 3,\n mainReportEndRow,\n 9\n ),\n rowHeightRequest(\n sheetIds.nominaVsBanco,\n 0,\n 1,\n 30\n ),\n rowHeightRequest(\n sheetIds.nominaVsBanco,\n 1,\n 2,\n 26\n ),\n rowHeightRequest(\n sheetIds.nominaVsBanco,\n 3,\n 4,\n 42\n ),\n ...mainDataFormatRequests,\n\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 0,\n 1,\n 48\n ),\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 1,\n 2,\n 260\n ),\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 2,\n 3,\n 130\n ),\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 3,\n 6,\n 130\n ),\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 6,\n 7,\n 155\n ),\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 7,\n 8,\n 110\n ),\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 8,\n 9,\n 260\n ),\n\n headerFormatRequest(sheetIds.bancoSinNomina, 7),\n freezeHeaderRequest(sheetIds.bancoSinNomina),\n autoResizeRequest(sheetIds.bancoSinNomina, 7),\n moneyFormatRequest(sheetIds.bancoSinNomina, 3, 4),\n basicFilterRequest(sheetIds.bancoSinNomina, 7),\n columnWidthRequest(\n sheetIds.bancoSinNomina,\n 6,\n 7,\n 260\n ),\n\n mergeRowRequest(sheetIds.bancoSinBamboo, 0, 8),\n mergeRowRequest(sheetIds.bancoSinBamboo, 1, 8),\n titleRowFormatRequest(\n sheetIds.bancoSinBamboo,\n 0,\n 8,\n {\n fontSize: 12,\n bold: true,\n italic: false,\n horizontalAlignment: 'LEFT',\n }\n ),\n titleRowFormatRequest(\n sheetIds.bancoSinBamboo,\n 1,\n 8,\n {\n fontSize: 10,\n bold: false,\n italic: true,\n horizontalAlignment: 'LEFT',\n }\n ),\n headerFormatRequest(\n sheetIds.bancoSinBamboo,\n 8,\n 3\n ),\n freezeHeaderRequest(\n sheetIds.bancoSinBamboo,\n 4\n ),\n basicFilterRequest(\n sheetIds.bancoSinBamboo,\n 8,\n 3,\n bancoSinBambooEndRow\n ),\n borderRequest(\n sheetIds.bancoSinBamboo,\n 3,\n bancoSinBambooEndRow,\n 8\n ),\n rowHeightRequest(\n sheetIds.bancoSinBamboo,\n 0,\n 1,\n 30\n ),\n rowHeightRequest(\n sheetIds.bancoSinBamboo,\n 1,\n 2,\n 26\n ),\n rowHeightRequest(\n sheetIds.bancoSinBamboo,\n 3,\n 4,\n 42\n ),\n moneyFormatRequest(\n sheetIds.bancoSinBamboo,\n 4,\n 5,\n 4,\n 'Q#,##0.00',\n bancoSinBambooEndRow\n ),\n bodyAlignmentRequest(\n sheetIds.bancoSinBamboo,\n 0,\n 1,\n 'CENTER',\n bancoSinBambooEndRow\n ),\n bodyAlignmentRequest(\n sheetIds.bancoSinBamboo,\n 1,\n 3,\n 'LEFT',\n bancoSinBambooEndRow\n ),\n bodyAlignmentRequest(\n sheetIds.bancoSinBamboo,\n 3,\n 4,\n 'CENTER',\n bancoSinBambooEndRow\n ),\n bodyAlignmentRequest(\n sheetIds.bancoSinBamboo,\n 4,\n 5,\n 'RIGHT',\n bancoSinBambooEndRow\n ),\n bodyAlignmentRequest(\n sheetIds.bancoSinBamboo,\n 5,\n 7,\n 'CENTER',\n bancoSinBambooEndRow\n ),\n bodyAlignmentRequest(\n sheetIds.bancoSinBamboo,\n 7,\n 8,\n 'LEFT',\n bancoSinBambooEndRow\n ),\n bambooStatusFormatRequest(\n sheetIds.bancoSinBamboo,\n bancoSinBambooEndRow\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 0,\n 1,\n 48\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 1,\n 2,\n 220\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 2,\n 3,\n 270\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 3,\n 4,\n 135\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 4,\n 5,\n 130\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 5,\n 6,\n 110\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 6,\n 7,\n 140\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 7,\n 8,\n 260\n ),\n\n headerFormatRequest(\n sheetIds.diferenciasNombreBanco,\n 11\n ),\n freezeHeaderRequest(\n sheetIds.diferenciasNombreBanco\n ),\n autoResizeRequest(\n sheetIds.diferenciasNombreBanco,\n 11\n ),\n moneyFormatRequest(\n sheetIds.diferenciasNombreBanco,\n 4,\n 5\n ),\n basicFilterRequest(\n sheetIds.diferenciasNombreBanco,\n 11\n ),\n columnWidthRequest(\n sheetIds.diferenciasNombreBanco,\n 10,\n 11,\n 260\n ),\n\n ...cuentaMalDigitadaFormatRequests,\n\n headerFormatRequest(sheetIds.resumen, 2),\n freezeHeaderRequest(sheetIds.resumen),\n autoResizeRequest(sheetIds.resumen, 2),\n moneyFormatRequest(sheetIds.resumen, 1, 2),\n];\n\n\nconst bancoSinNominaEndRow =\n 1 + bancoSinNominaRows.length;\n\nconst diferenciasNombreEndRow =\n 1 + diferenciasNombreRows.length;\n\nconst resumenReadabilityEndRow =\n 1 + resumenRows.length;\n\n/*\n * Ajuste final de legibilidad.\n *\n * Se ejecuta al final para que los anchos definitivos ya estén aplicados\n * cuando Google Sheets calcule automáticamente la altura de cada fila.\n * Así, cualquier texto largo queda envuelto y visible sin que el usuario\n * tenga que expandir columnas o filas manualmente.\n */\nformatRequests.push(\n // 01 Nómina vs Banco\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 1,\n 2,\n 300\n ),\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 2,\n 3,\n 150\n ),\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 3,\n 6,\n 145\n ),\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 6,\n 7,\n 220\n ),\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 7,\n 8,\n 140\n ),\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 8,\n 9,\n 320\n ),\n ...(mainReportRows.length > 0\n ? [\n wrapRangeRequest(\n sheetIds.nominaVsBanco,\n 4,\n mainReportEndRow,\n 0,\n 9\n ),\n autoResizeRowsRequest(\n sheetIds.nominaVsBanco,\n 4,\n mainReportEndRow\n ),\n ]\n : []),\n\n // 02 Banco sin Nómina\n columnWidthRequest(\n sheetIds.bancoSinNomina,\n 0,\n 1,\n 320\n ),\n columnWidthRequest(\n sheetIds.bancoSinNomina,\n 1,\n 2,\n 165\n ),\n columnWidthRequest(\n sheetIds.bancoSinNomina,\n 2,\n 3,\n 95\n ),\n columnWidthRequest(\n sheetIds.bancoSinNomina,\n 3,\n 4,\n 140\n ),\n columnWidthRequest(\n sheetIds.bancoSinNomina,\n 4,\n 5,\n 170\n ),\n columnWidthRequest(\n sheetIds.bancoSinNomina,\n 5,\n 6,\n 560\n ),\n columnWidthRequest(\n sheetIds.bancoSinNomina,\n 6,\n 7,\n 320\n ),\n autoResizeRowsRequest(\n sheetIds.bancoSinNomina,\n 0,\n 1\n ),\n ...(bancoSinNominaRows.length > 0\n ? [\n wrapRangeRequest(\n sheetIds.bancoSinNomina,\n 1,\n bancoSinNominaEndRow,\n 0,\n 7\n ),\n autoResizeRowsRequest(\n sheetIds.bancoSinNomina,\n 1,\n bancoSinNominaEndRow\n ),\n ]\n : []),\n\n // 03 Banco sin Bamboo\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 1,\n 2,\n 300\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 2,\n 3,\n 330\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 3,\n 4,\n 150\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 4,\n 5,\n 145\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 5,\n 6,\n 150\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 6,\n 7,\n 170\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 7,\n 8,\n 320\n ),\n ...(bancoSinBambooRows.length > 0\n ? [\n wrapRangeRequest(\n sheetIds.bancoSinBamboo,\n 4,\n bancoSinBambooEndRow,\n 0,\n 8\n ),\n autoResizeRowsRequest(\n sheetIds.bancoSinBamboo,\n 4,\n bancoSinBambooEndRow\n ),\n ]\n : []),\n\n // 04 Diferencias nombre banco\n columnWidthRequest(\n sheetIds.diferenciasNombreBanco,\n 0,\n 1,\n 300\n ),\n columnWidthRequest(\n sheetIds.diferenciasNombreBanco,\n 1,\n 2,\n 330\n ),\n columnWidthRequest(\n sheetIds.diferenciasNombreBanco,\n 2,\n 3,\n 155\n ),\n columnWidthRequest(\n sheetIds.diferenciasNombreBanco,\n 3,\n 4,\n 95\n ),\n columnWidthRequest(\n sheetIds.diferenciasNombreBanco,\n 4,\n 5,\n 140\n ),\n columnWidthRequest(\n sheetIds.diferenciasNombreBanco,\n 5,\n 7,\n 150\n ),\n columnWidthRequest(\n sheetIds.diferenciasNombreBanco,\n 7,\n 8,\n 260\n ),\n columnWidthRequest(\n sheetIds.diferenciasNombreBanco,\n 8,\n 9,\n 170\n ),\n columnWidthRequest(\n sheetIds.diferenciasNombreBanco,\n 9,\n 10,\n 650\n ),\n columnWidthRequest(\n sheetIds.diferenciasNombreBanco,\n 10,\n 11,\n 320\n ),\n autoResizeRowsRequest(\n sheetIds.diferenciasNombreBanco,\n 0,\n 1\n ),\n ...(diferenciasNombreRows.length > 0\n ? [\n wrapRangeRequest(\n sheetIds.diferenciasNombreBanco,\n 1,\n diferenciasNombreEndRow,\n 0,\n 11\n ),\n autoResizeRowsRequest(\n sheetIds.diferenciasNombreBanco,\n 1,\n diferenciasNombreEndRow\n ),\n ]\n : []),\n\n // 05 Cuenta Mal Digitada\n ...(hasCuentaMalDigitada\n ? [\n columnWidthRequest(\n sheetIds.cuentaMalDigitada,\n 1,\n 2,\n 300\n ),\n columnWidthRequest(\n sheetIds.cuentaMalDigitada,\n 2,\n 3,\n 600\n ),\n columnWidthRequest(\n sheetIds.cuentaMalDigitada,\n 3,\n 4,\n 320\n ),\n ]\n : []),\n\n // Resumen\n columnWidthRequest(\n sheetIds.resumen,\n 0,\n 1,\n 380\n ),\n columnWidthRequest(\n sheetIds.resumen,\n 1,\n 2,\n 320\n ),\n autoResizeRowsRequest(\n sheetIds.resumen,\n 0,\n 1\n ),\n ...(resumenRows.length > 0\n ? [\n wrapRangeRequest(\n sheetIds.resumen,\n 1,\n resumenReadabilityEndRow,\n 0,\n 2\n ),\n autoResizeRowsRequest(\n sheetIds.resumen,\n 1,\n resumenReadabilityEndRow\n ),\n ]\n : [])\n);\n\n\n\n/*\n * Protección de integridad del reporte.\n *\n * La hoja completa queda protegida para impedir que los usuarios con acceso\n * al reporte modifiquen datos calculados, nombres, cuentas, montos, estados,\n * observaciones o cualquier otro resultado del cruce.\n *\n * Únicamente las celdas de datos de la columna \"Resolución\" quedan fuera de\n * la protección para que puedan completarse después de recibir el reporte.\n * Los encabezados y las filas fuera de la tabla permanecen protegidos.\n *\n * El propietario de la hoja conserva siempre el control. Además, el usuario\n * administrativo iaracena@gomezleemarketing.com queda registrado como editor explícito del\n * rango protegido para mantenimiento de IT.\n */\nfunction protectedSheetRequest(\n sheetId,\n description,\n resolutionColumnIndex = null,\n resolutionStartRowIndex = null,\n resolutionRowsCount = 0\n) {\n const protectedRange = {\n range: {\n sheetId,\n },\n description,\n warningOnly: false,\n editors: {\n users: [\n 'iaracena@gomezleemarketing.com',\n ],\n domainUsersCanEdit: false,\n },\n };\n\n if (\n Number.isInteger(resolutionColumnIndex) &&\n Number.isInteger(resolutionStartRowIndex) &&\n Number(resolutionRowsCount) > 0\n ) {\n protectedRange.unprotectedRanges = [\n {\n sheetId,\n startRowIndex:\n resolutionStartRowIndex,\n endRowIndex:\n resolutionStartRowIndex +\n Number(resolutionRowsCount),\n startColumnIndex:\n resolutionColumnIndex,\n endColumnIndex:\n resolutionColumnIndex + 1,\n },\n ];\n }\n\n return {\n addProtectedRange: {\n protectedRange,\n },\n };\n}\n\n\nformatRequests.push(\n protectedSheetRequest(\n sheetIds.nominaVsBanco,\n 'Protección GLM — datos del cruce. Solo Resolución es editable.',\n 8,\n 4,\n mainReportRows.length\n ),\n protectedSheetRequest(\n sheetIds.bancoSinNomina,\n 'Protección GLM — datos del cruce. Solo Resolución es editable.',\n 6,\n 1,\n bancoSinNominaRows.length\n ),\n protectedSheetRequest(\n sheetIds.bancoSinBamboo,\n 'Protección GLM — datos del cruce. Solo Resolución es editable.',\n 7,\n 4,\n bancoSinBambooRows.length\n ),\n protectedSheetRequest(\n sheetIds.diferenciasNombreBanco,\n 'Protección GLM — datos del cruce. Solo Resolución es editable.',\n 10,\n 1,\n diferenciasNombreRows.length\n ),\n ...(hasCuentaMalDigitada\n ? [\n protectedSheetRequest(\n sheetIds.cuentaMalDigitada,\n 'Protección GLM — datos del cruce. Solo Resolución es editable.',\n 3,\n 4,\n cuentaMalDigitadaRows.length\n ),\n ]\n : []),\n protectedSheetRequest(\n sheetIds.resumen,\n 'Protección GLM — hoja de resumen de solo lectura.'\n )\n);\n\n\nreturn [\n {\n json: {\n ok: true,\n stage: 'preparar_google_sheet',\n metadata,\n summary,\n spreadsheetTitle,\n sheetIds,\n sheetTitles,\n createSpreadsheetBody: {\n properties: {\n title: spreadsheetTitle,\n },\n sheets: [\n {\n properties: {\n sheetId: sheetIds.nominaVsBanco,\n title: sheetTitles.nominaVsBanco,\n },\n },\n {\n properties: {\n sheetId: sheetIds.bancoSinNomina,\n title: sheetTitles.bancoSinNomina,\n },\n },\n {\n properties: {\n sheetId: sheetIds.bancoSinBamboo,\n title: sheetTitles.bancoSinBamboo,\n },\n },\n {\n properties: {\n sheetId:\n sheetIds.diferenciasNombreBanco,\n title:\n sheetTitles.diferenciasNombreBanco,\n },\n },\n ...(hasCuentaMalDigitada\n ? [\n {\n properties: {\n sheetId:\n sheetIds.cuentaMalDigitada,\n title:\n sheetTitles.cuentaMalDigitada,\n },\n },\n ]\n : []),\n {\n properties: {\n sheetId: sheetIds.resumen,\n title: sheetTitles.resumen,\n },\n },\n ],\n },\n valueBatchBody: {\n valueInputOption: 'USER_ENTERED',\n data: valueData,\n },\n formatBatchBody: {\n requests: formatRequests,\n },\n originalResponse: data,\n },\n },\n];" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ - 22048, - 26512 + 45392, + 55408 ], - "id": "5c8239ca-2f93-41a3-be89-cb6fce94d2b2", + "id": "27c488e4-cca5-4aad-ba1f-6aaf7fe82ff4", "name": "Preparar Google Sheet" }, { "parameters": { "method": "POST", - "url": "https://sheets.googleapis.com/v4/spreadsheets", + "url": "={{ (() => { const lookup = $('Buscar reporte existente Supabase').first().json || {}; const report = lookup.report || {}; const id = String(report.spreadsheet_id || '').trim(); return (lookup.found === true && id) ? 'https://sheets.googleapis.com/v4/spreadsheets/' + id + ':batchUpdate' : 'https://sheets.googleapis.com/v4/spreadsheets'; })() }}", "authentication": "predefinedCredentialType", "nodeCredentialType": "googleOAuth2Api", "sendBody": true, "specifyBody": "json", - "jsonBody": "={{\n(() => {\n const prepared =\n $('Preparar Google Sheet').first().json || {};\n\n const createBody =\n prepared.createSpreadsheetBody || {};\n\n if (\n !Array.isArray(createBody.sheets) ||\n createBody.sheets.length === 0\n ) {\n throw new Error(\n 'Preparar Google Sheet no devolvió las hojas que deben crearse.'\n );\n }\n\n return {\n properties: {\n ...(createBody.properties || {}),\n timeZone: 'America/Guatemala',\n },\n\n sheets: createBody.sheets.map((sheet) => ({\n properties: {\n ...(sheet.properties || {}),\n\n gridProperties: {\n ...((sheet.properties || {}).gridProperties || {}),\n frozenRowCount: 1,\n },\n },\n })),\n };\n})()\n}}", + "jsonBody": "={{\n(() => {\n const prepared = $('Preparar Google Sheet').first().json || {};\n const lookup = $('Buscar reporte existente Supabase').first().json || {};\n const report = lookup.report || {};\n const existingId = String(report.spreadsheet_id || '').trim();\n\n if (lookup.found === true && existingId) {\n return {\n requests: [\n {\n updateSpreadsheetProperties: {\n properties: {\n title: prepared.spreadsheetTitle || prepared.createSpreadsheetBody?.properties?.title || 'Cruce de Cuentas GLM',\n },\n fields: 'title',\n },\n },\n ],\n };\n }\n\n const createBody = prepared.createSpreadsheetBody || {};\n\n if (!Array.isArray(createBody.sheets) || createBody.sheets.length === 0) {\n throw new Error('Preparar Google Sheet no devolvió las hojas que deben crearse.');\n }\n\n return {\n properties: {\n ...(createBody.properties || {}),\n timeZone: 'America/Guatemala',\n },\n sheets: createBody.sheets.map((sheet) => ({\n properties: {\n ...(sheet.properties || {}),\n gridProperties: {\n ...((sheet.properties || {}).gridProperties || {}),\n frozenRowCount: 1,\n },\n },\n })),\n };\n})()\n}}", "options": {} }, "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.4, "position": [ - 22256, - 26512 + 45632, + 55424 ], - "id": "937c7727-c0e4-49c7-ab93-199919b81763", + "id": "85e15474-e06c-44f3-9bae-b1166abd1bbd", "name": "Crear Google Sheet", "credentials": { "httpBasicAuth": { @@ -460,21 +460,23 @@ { "parameters": { "method": "POST", - "url": "={{ 'https://sheets.googleapis.com/v4/spreadsheets/' + $('Crear Google Sheet').first().json.spreadsheetId + '/values:batchUpdate' }}", + "url": "={{ 'https://sheets.googleapis.com/v4/spreadsheets/' + $('Preparar actualización Google Sheet').first().json.spreadsheetId + '/values:batchUpdate' }}", "authentication": "predefinedCredentialType", "nodeCredentialType": "googleOAuth2Api", "sendBody": true, "specifyBody": "json", - "jsonBody": "={{ $('Preparar Google Sheet').first().json.valueBatchBody }}", - "options": {} + "jsonBody": "={{ $('Preparar actualización Google Sheet').first().json.valueBatchBody }}", + "options": { + "timeout": 60000 + } }, "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.4, "position": [ - 22464, - 26512 + 46848, + 55408 ], - "id": "c71323e4-d046-44c9-b073-e8f389ffc86f", + "id": "9bf3a2c6-742c-479b-bfe7-ce070a6a141c", "name": "Escribir Google Sheet", "credentials": { "googleOAuth2Api": { @@ -486,21 +488,23 @@ { "parameters": { "method": "POST", - "url": "={{ 'https://sheets.googleapis.com/v4/spreadsheets/' + $('Crear Google Sheet').first().json.spreadsheetId + ':batchUpdate' }}", + "url": "={{ 'https://sheets.googleapis.com/v4/spreadsheets/' + $('Preparar actualización Google Sheet').first().json.spreadsheetId + ':batchUpdate' }}", "authentication": "predefinedCredentialType", "nodeCredentialType": "googleOAuth2Api", "sendBody": true, "specifyBody": "json", - "jsonBody": "={{ $('Preparar Google Sheet').first().json.formatBatchBody }}", - "options": {} + "jsonBody": "={{ $('Preparar actualización Google Sheet').first().json.formatBatchBody }}", + "options": { + "timeout": 60000 + } }, "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.4, "position": [ - 22672, - 26512 + 47088, + 55408 ], - "id": "21d98cca-0e31-4471-a0ab-b2ad0f0bf7a3", + "id": "a4395a8a-64d2-4642-9807-1b8337ddf7cf", "name": "Formatear Google Sheet", "credentials": { "googleOAuth2Api": { @@ -511,28 +515,28 @@ }, { "parameters": { - "jsCode": "const prepared = $('Preparar Google Sheet').first().json || {};\nconst createdSheet = $('Crear Google Sheet').first().json || {};\n\nconst original =\n prepared.originalResponse ||\n prepared.original_response ||\n prepared.response ||\n {};\n\nconst spreadsheetId = createdSheet.spreadsheetId || '';\nconst reportUrl =\n createdSheet.spreadsheetUrl ||\n (spreadsheetId ? `https://docs.google.com/spreadsheets/d/${spreadsheetId}/edit` : null);\n\nreturn [\n {\n json: {\n ok: original.ok ?? true,\n message: reportUrl\n ? 'Cruce procesado correctamente. Google Sheet generado.'\n : 'Cruce procesado correctamente, pero no se recibió URL del Google Sheet.',\n stage: reportUrl ? 'cruce_completado_con_reporte' : 'cruce_completado_sin_reporte',\n errors: original.errors || [],\n metadata: original.metadata || {},\n summary: original.summary || {},\n rows: original.rows || [],\n bankWithoutBamboo:\n original.bankWithoutBamboo || [],\n bambooSummary:\n original.bambooSummary || {},\n reportUrl,\n googleSheet: {\n spreadsheetId,\n spreadsheetUrl: reportUrl,\n },\n debug: {\n rows_returned: Array.isArray(original.rows) ? original.rows.length : 0,\n coincidencias: original.summary?.coincidencias ?? 0,\n discrepancias: original.summary?.discrepancias ?? 0,\n bancoSinBamboo:\n original.summary?.bancoSinBamboo ?? 0,\n bancoSinBambooRows:\n Array.isArray(original.bankWithoutBamboo)\n ? original.bankWithoutBamboo.length\n : 0,\n },\n },\n },\n];" + "jsCode": "const prepared = $('Preparar Google Sheet').first().json || {};\nconst sheetContext = $('Preparar actualización Google Sheet').first().json || {};\n\nconst original =\n prepared.originalResponse ||\n prepared.original_response ||\n prepared.response ||\n {};\n\nconst spreadsheetId = sheetContext.spreadsheetId || '';\nconst reportUrl =\n sheetContext.reportUrl ||\n (spreadsheetId ? `https://docs.google.com/spreadsheets/d/${spreadsheetId}/edit` : null);\n\n\nfunction collectHistoricalObjects(value, output) {\n if (Array.isArray(value)) {\n for (const item of value) collectHistoricalObjects(item, output);\n return;\n }\n\n if (!value || typeof value !== 'object') return;\n\n output.push(value);\n\n if (Array.isArray(value.data)) {\n for (const item of value.data) collectHistoricalObjects(item, output);\n }\n}\n\nconst historicalObjects = [];\ntry {\n for (const item of $items('Insertar histórico Supabase')) {\n collectHistoricalObjects(item.json, historicalObjects);\n }\n} catch (error) {\n // Si Supabase no devolvió representación, el reporte sigue respondiendo\n // igual que antes; únicamente executionId quedará vacío.\n}\n\nconst insertedHistoricalReport =\n historicalObjects.find((item) => item && item.id) || null;\n\nconst executionId = insertedHistoricalReport?.id\n ? String(insertedHistoricalReport.id)\n : '';\n\nreturn [\n {\n json: {\n ok: original.ok ?? true,\n message: reportUrl\n ? (sheetContext.reportUpdated === true\n ? `Reporte existente actualizado correctamente. Se conservaron ${Number(sheetContext.preservedResolutionsCount || 0)} resolución(es) previamente registradas.`\n : 'Cruce procesado correctamente. Google Sheet generado.')\n : 'Cruce procesado correctamente, pero no se recibió URL del Google Sheet.',\n stage: reportUrl ? 'cruce_completado_con_reporte' : 'cruce_completado_sin_reporte',\n errors: original.errors || [],\n metadata: original.metadata || {},\n summary: original.summary || {},\n rows: original.rows || [],\n bankWithoutBamboo:\n original.bankWithoutBamboo || [],\n bambooSummary:\n original.bambooSummary || {},\n reportUrl,\n executionId: executionId || undefined,\n reportUpdated: sheetContext.reportUpdated === true,\n reusingSheet: sheetContext.reusingSheet === true,\n preservedResolutionsCount: Number(sheetContext.preservedResolutionsCount || 0),\n clientRequestId: original.metadata?.client_request_id || '',\n googleSheet: {\n spreadsheetId,\n spreadsheetUrl: reportUrl,\n },\n debug: {\n rows_returned: Array.isArray(original.rows) ? original.rows.length : 0,\n coincidencias: original.summary?.coincidencias ?? 0,\n discrepancias: original.summary?.discrepancias ?? 0,\n bancoSinBamboo:\n original.summary?.bancoSinBamboo ?? 0,\n bancoSinBambooRows:\n Array.isArray(original.bankWithoutBamboo)\n ? original.bankWithoutBamboo.length\n : 0,\n },\n },\n },\n];" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ - 24800, - 26528 + 49024, + 55408 ], - "id": "aa72c7f0-6d16-483e-b991-292c01415eef", + "id": "8eb9c178-8cc6-4a0e-88f0-ca40d1d4a13e", "name": "Preparar respuesta final" }, { "parameters": { - "jsCode": "const createdSheet = $('Crear Google Sheet').first().json || {};\nconst spreadsheetId = createdSheet.spreadsheetId;\n\nif (!spreadsheetId) {\n throw new Error('No se recibió spreadsheetId desde Crear Google Sheet.');\n}\n\nconst allowedEmails = [\n 'iaracena@gomezleemarketing.com',\n 'ymadera@gomezleemarketing.com',\n 'mgomez@gomezleemarketing.com',\n 'jgomez@gomezleemarketing.com',\n];\n\nreturn allowedEmails.map((email) => ({\n json: {\n spreadsheetId,\n email,\n permissionBody: {\n type: 'user',\n role: 'writer',\n emailAddress: email,\n },\n },\n}));" + "jsCode": "const context =\n $('Preparar actualización Google Sheet').first().json || {};\n\nconst spreadsheetId =\n context.spreadsheetId;\n\nif (!spreadsheetId) {\n throw new Error(\n 'No se recibió spreadsheetId para configurar permisos.'\n );\n}\n\nconst allowedEmails = [\n 'iaracena@gomezleemarketing.com',\n 'ymadera@gomezleemarketing.com',\n 'mgomez@gomezleemarketing.com',\n 'jgomez@gomezleemarketing.com',\n 'vparamo@gomezleemarketing.com',\n 'jsepulveda@gomezlee.marketing',\n 'mbenitez@gomezlee.marketing',\n];\n\nreturn allowedEmails.map((email) => ({\n json: {\n spreadsheetId,\n email,\n permissionBody: {\n type: 'user',\n role: 'writer',\n emailAddress: email,\n },\n reportUpdated:\n context.reportUpdated === true,\n },\n}));" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ - 22880, - 26512 + 47984, + 55408 ], - "id": "e2b64399-0b45-40b9-b2be-b7b88bdfa002", + "id": "bd69ea75-be1e-431d-ba66-348f1c0be6ee", "name": "Preparar permisos Google Sheet" }, { @@ -549,35 +553,36 @@ "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.4, "position": [ - 23088, - 26512 + 48224, + 55408 ], - "id": "d9026869-a053-4a40-8d5f-fe92e6c11c7d", + "id": "7ff7d8b2-babc-47f2-9f7a-75ce66027267", "name": "Compartir Google Sheet", "credentials": { "googleOAuth2Api": { "id": "dQ1MJSJSWcoWYcb8", "name": "Google account - Isaac Producción" } - } + }, + "onError": "continueRegularOutput" }, { "parameters": { - "jsCode": "const cruce = $('Cruzar Nómina vs Banco').first().json || {};\nconst createdSheet = $('Crear Google Sheet').first().json || {};\n\nconst metadata = cruce.metadata || {};\nconst summary = cruce.summary || {};\nconst debug = cruce.debug || {};\n\nconst spreadsheetId = createdSheet.spreadsheetId || cruce.spreadsheetId || '';\nconst reportUrl =\n createdSheet.spreadsheetUrl ||\n createdSheet.spreadsheet_url ||\n (spreadsheetId ? `https://docs.google.com/spreadsheets/d/${spreadsheetId}/edit` : null);\n\nfunction toNumber(value) {\n const parsed = Number(value);\n return Number.isFinite(parsed) ? parsed : 0;\n}\n\nfunction buildPeriodKey(periodMetadata) {\n const country = periodMetadata.country || 'GT';\n const year = periodMetadata.year || '';\n const month = String(periodMetadata.month || '').padStart(2, '0');\n const periodType = periodMetadata.period_type || 'periodo';\n return `${country}-${year}-${month}-${periodType}`;\n}\n\nconst discrepancias = toNumber(summary.discrepancias);\nconst bancoSinNomina = toNumber(summary.bancoSinNomina);\nconst nominaSinCuenta = toNumber(summary.nominaSinCuenta);\nconst diferenciasNombreBanco =\n toNumber(summary.diferenciasNombreBanco);\nconst bancoSinBamboo =\n toNumber(summary.bancoSinBamboo);\nconst pendientes = toNumber(summary.pendientes) || (\n discrepancias +\n bancoSinNomina +\n nominaSinCuenta +\n diferenciasNombreBanco\n);\n\n// Banco sin Bamboo es una revisión independiente del cruce principal.\nconst requiereRevision =\n pendientes > 0 || bancoSinBamboo > 0;\n\n// La app final solo manejará Pendiente revisión y Resuelto.\nconst estado = requiereRevision\n ? 'pendiente_revision'\n : 'resuelto';\n\nconst payload = {\n source_app: metadata.source_app || 'cruce-cuentas-glm-guatemala',\n country: metadata.country || 'GT',\n country_name: metadata.country_name || 'Guatemala',\n\n year: toNumber(metadata.year),\n month: toNumber(metadata.month),\n period_type: metadata.period_type || '',\n period_label: metadata.period_label || '',\n period_start: metadata.period_start || null,\n period_end: metadata.period_end || null,\n period_key: buildPeriodKey(metadata),\n\n payroll_file_name: metadata.payroll_file_name || '',\n bank_file_names: metadata.bank_file_names || [],\n\n coincidencias: toNumber(summary.coincidencias),\n discrepancias,\n\n banco_sin_bamboo: bancoSinBamboo,\n detalle_banco_sin_bamboo:\n Array.isArray(cruce.bankWithoutBamboo)\n ? cruce.bankWithoutBamboo\n : [],\n banco_sin_nomina: bancoSinNomina,\n nomina_sin_cuenta: nominaSinCuenta,\n nomina_sin_bamboo: 0,\n bamboo_sin_nomina: 0,\n\n filas_nomina_validas: toNumber(summary.filasNominaValidas),\n cuentas_nomina_agrupadas: toNumber(summary.cuentasNominaAgrupadas),\n transacciones_banco: toNumber(summary.transaccionesBanco),\n cuentas_banco_agrupadas: toNumber(summary.cuentasBancoAgrupadas),\n\n total_nomina: toNumber(summary.totalNomina),\n total_banco: toNumber(summary.totalBanco),\n diferencia_total: toNumber(summary.diferenciaTotal),\n\n report_url: reportUrl,\n spreadsheet_id: spreadsheetId,\n estado,\n\n ejecutado_por_nombre: metadata.requested_by_name || 'Usuario GLM',\n ejecutado_por_email: metadata.requested_by_email || '',\n\n metadata: {\n ...metadata,\n diferencias_nombre_banco:\n diferenciasNombreBanco,\n banco_sin_bamboo:\n bancoSinBamboo,\n pendientes_cruce_principal:\n pendientes,\n requiere_revision:\n requiereRevision,\n },\n summary,\n debug: {\n sheet_summaries: debug.sheet_summaries || [],\n attached_supplements: debug.attached_supplements || [],\n unattached_supplements: debug.unattached_supplements || [],\n bank_name_differences_preview:\n debug.bank_name_differences_preview || [],\n bamboo_matches:\n debug.bamboo_matches || [],\n bamboo_excluded_payments:\n debug.bamboo_excluded_payments || [],\n banco_sin_bamboo:\n cruce.bankWithoutBamboo || [],\n },\n};\n\nreturn [\n {\n json: {\n ...cruce,\n supabaseTable: 'cruces_cuentas_gt_reportes',\n supabasePayload: payload,\n reportUrl,\n spreadsheetId,\n },\n },\n];\n" + "jsCode": "const cruce = $('Cruzar Nómina vs Banco').first().json || {};\nconst sheetContext =\n $('Preparar actualización Google Sheet').first().json || {};\n\nconst metadata = cruce.metadata || {};\nconst summary = cruce.summary || {};\nconst debug = cruce.debug || {};\n\nconst spreadsheetId = sheetContext.spreadsheetId || cruce.spreadsheetId || '';\nconst reportUrl =\n sheetContext.reportUrl ||\n (spreadsheetId ? `https://docs.google.com/spreadsheets/d/${spreadsheetId}/edit` : null);\n\nfunction toNumber(value) {\n const parsed = Number(value);\n return Number.isFinite(parsed) ? parsed : 0;\n}\n\nfunction buildPeriodKey(periodMetadata) {\n const country = periodMetadata.country || 'GT';\n const year = periodMetadata.year || '';\n const month = String(periodMetadata.month || '').padStart(2, '0');\n const periodType = periodMetadata.period_type || 'periodo';\n return `${country}-${year}-${month}-${periodType}`;\n}\n\nconst discrepancias = toNumber(summary.discrepancias);\nconst bancoSinNomina = toNumber(summary.bancoSinNomina);\nconst nominaSinCuenta = toNumber(summary.nominaSinCuenta);\nconst diferenciasNombreBanco =\n toNumber(summary.diferenciasNombreBanco);\nconst bancoSinBamboo =\n toNumber(summary.bancoSinBamboo);\nconst pendientes = toNumber(summary.pendientes) || (\n discrepancias +\n bancoSinNomina +\n nominaSinCuenta +\n diferenciasNombreBanco\n);\n\n// Banco sin Bamboo es una revisión independiente del cruce principal.\nconst requiereRevision =\n pendientes > 0 || bancoSinBamboo > 0;\n\n// La app final solo manejará Pendiente revisión y Resuelto.\nconst estado = requiereRevision\n ? 'pendiente_revision'\n : 'resuelto';\n\nconst reportIdentity = [\n 'GT',\n String(metadata.year || ''),\n String(metadata.month || '').padStart(2, '0'),\n String(metadata.period_type || '').trim().toLowerCase(),\n].join('-');\n\nconst reportUpdated =\n sheetContext.reportUpdated === true;\n\nconst preservedResolutionsCount =\n Number(\n sheetContext.preservedResolutionsCount || 0\n );\n\nconst payload = {\n source_app: metadata.source_app || 'cruce-cuentas-glm-guatemala',\n country: metadata.country || 'GT',\n country_name: metadata.country_name || 'Guatemala',\n client_request_id: metadata.client_request_id || null,\n report_identity: reportIdentity,\n\n year: toNumber(metadata.year),\n month: toNumber(metadata.month),\n period_type: metadata.period_type || '',\n period_label: metadata.period_label || '',\n period_start: metadata.period_start || null,\n period_end: metadata.period_end || null,\n period_key: buildPeriodKey(metadata),\n\n payroll_file_name: metadata.payroll_file_name || '',\n bank_file_names: metadata.bank_file_names || [],\n\n coincidencias: toNumber(summary.coincidencias),\n discrepancias,\n\n banco_sin_bamboo: bancoSinBamboo,\n detalle_banco_sin_bamboo:\n Array.isArray(cruce.bankWithoutBamboo)\n ? cruce.bankWithoutBamboo\n : [],\n banco_sin_nomina: bancoSinNomina,\n nomina_sin_cuenta: nominaSinCuenta,\n nomina_sin_bamboo: 0,\n bamboo_sin_nomina: 0,\n\n filas_nomina_validas: toNumber(summary.filasNominaValidas),\n cuentas_nomina_agrupadas: toNumber(summary.cuentasNominaAgrupadas),\n transacciones_banco: toNumber(summary.transaccionesBanco),\n cuentas_banco_agrupadas: toNumber(summary.cuentasBancoAgrupadas),\n\n total_nomina: toNumber(summary.totalNomina),\n total_banco: toNumber(summary.totalBanco),\n diferencia_total: toNumber(summary.diferenciaTotal),\n\n report_url: reportUrl,\n spreadsheet_id: spreadsheetId,\n estado,\n\n ejecutado_por_nombre: metadata.requested_by_name || 'Usuario GLM',\n ejecutado_por_email: metadata.requested_by_email || '',\n\n metadata: {\n ...metadata,\n report_identity: reportIdentity,\n report_updated: reportUpdated,\n preserved_resolutions_count: preservedResolutionsCount,\n diferencias_nombre_banco:\n diferenciasNombreBanco,\n banco_sin_bamboo:\n bancoSinBamboo,\n pendientes_cruce_principal:\n pendientes,\n requiere_revision:\n requiereRevision,\n },\n summary,\n debug: {\n sheet_summaries: debug.sheet_summaries || [],\n attached_supplements: debug.attached_supplements || [],\n unattached_supplements: debug.unattached_supplements || [],\n bank_name_differences_preview:\n debug.bank_name_differences_preview || [],\n bamboo_matches:\n debug.bamboo_matches || [],\n bamboo_excluded_payments:\n debug.bamboo_excluded_payments || [],\n banco_sin_bamboo:\n cruce.bankWithoutBamboo || [],\n },\n};\n\n\nif (\n reportUpdated &&\n estado !== 'resuelto'\n) {\n payload.resuelto_por_nombre = null;\n payload.resuelto_por_email = null;\n payload.resuelto_en = null;\n payload.comentario_resolucion = null;\n}\n\nreturn [\n {\n json: {\n ...cruce,\n reportUpdated,\n preservedResolutionsCount,\n existingHistoricalId: sheetContext.existingHistoricalId || '',\n reportIdentity,\n supabaseTable: 'cruces_cuentas_gt_reportes',\n supabasePayload: payload,\n reportUrl,\n spreadsheetId,\n },\n },\n];\n" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ - 24240, - 26528 + 48544, + 55408 ], - "id": "471f36ca-d750-4e92-8807-4794ce0cc4a0", + "id": "8350ad22-28e1-4079-b3be-9c84fe5c2d22", "name": "Preparar histórico Supabase" }, { "parameters": { "method": "POST", - "url": "https://dbit.digitalcompass.agency/rest/v1/cruces_cuentas_gt_reportes", + "url": "https://dbit.digitalcompass.agency/rest/v1/cruces_cuentas_gt_reportes?on_conflict=report_identity", "sendHeaders": true, "headerParameters": { "parameters": [ @@ -595,7 +600,7 @@ }, { "name": "Prefer", - "value": "return=representation" + "value": "resolution=merge-duplicates,return=representation" } ] }, @@ -607,10 +612,10 @@ "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.4, "position": [ - 24448, - 26528 + 48784, + 55408 ], - "id": "69a0dfa0-702a-4ed6-93cc-01a0b97d9676", + "id": "515c10e1-a63d-42d7-91cc-8e1e53ca6e82", "name": "Insertar histórico Supabase", "onError": "continueRegularOutput" }, @@ -626,10 +631,10 @@ "type": "n8n-nodes-base.extractFromFile", "typeVersion": 1.1, "position": [ - 15664, - 27632 + 38736, + 56528 ], - "id": "f545108c-5069-4208-be51-531a235a81e2", + "id": "560b3add-3f9f-43ae-8b96-4fa92f9bd676", "name": "Extract - Temporales WMC", "retryOnFail": false, "onError": "continueRegularOutput" @@ -639,10 +644,10 @@ "type": "n8n-nodes-base.merge", "typeVersion": 3.2, "position": [ - 19232, - 27296 + 42304, + 56192 ], - "id": "e4f39bb4-ad63-4611-8ddc-09a44817eaa1", + "id": "4b279e8c-2b95-495e-86a1-11a58c82a2ad", "name": "Merge Hojas 10" }, { @@ -691,10 +696,10 @@ "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.4, "position": [ - 15216, - 25568 + 38288, + 54464 ], - "id": "4487c967-fd95-4865-977b-b232f1a7b69d", + "id": "7575857f-ee04-4458-a32b-a268a77931af", "name": "HTTP - Empleados BambooHR GT", "retryOnFail": true, "maxTries": 3, @@ -713,10 +718,10 @@ "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ - 15440, - 25568 + 38512, + 54464 ], - "id": "a0b69501-6075-4d1c-819e-a7b15a683ddb", + "id": "7c44bb5d-2866-44ef-b943-95951994b266", "name": "Normalizar BambooHR GT" }, { @@ -728,10 +733,10 @@ "type": "n8n-nodes-base.merge", "typeVersion": 3.2, "position": [ - 21472, - 26512 + 44736, + 55408 ], - "id": "4ba30bd6-5082-4299-aaaa-4082014f781e", + "id": "a353532c-f8a4-43a2-b28f-45bee1afe352", "name": "Merge - Agregar BambooHR" }, { @@ -744,10 +749,10 @@ "type": "n8n-nodes-base.stickyNote", "typeVersion": 1, "position": [ - 14432, - 24992 + 37504, + 53888 ], - "id": "a9eedba9-b326-4097-b31a-9cb977f38400", + "id": "82f110bb-3909-4b50-9057-a7fe2b6e07b2", "name": "Sticky Note" }, { @@ -760,43 +765,273 @@ "type": "n8n-nodes-base.stickyNote", "typeVersion": 1, "position": [ - 16368, - 25136 + 39440, + 54032 ], - "id": "458cfcea-4a35-4a73-bfd9-c2689bb88d0b", + "id": "a0b5e657-ec5c-40b4-a6e2-f66bf5a34189", "name": "Sticky Note1" }, { "parameters": { "content": "# 🔍 CRUCE Y REPORTE FINAL — GUATEMALA\n\nCombina la nómina consolidada con el archivo bancario y la información oficial de BambooHR.\n\nEl cruce permite detectar:\n\n- Diferencias entre nómina y banco.\n- Empleados presentes solamente en nómina.\n- Registros presentes solamente en el banco.\n- Empleados no encontrados en BambooHR.\n- Posibles diferencias de nombres, cuentas o identificadores.\n- Diferencias en montos pagados.\n- Registros que requieren revisión manual.\n\nDespués del análisis:\n\n1. Se organizan los resultados por hoja y categoría.\n2. Se prepara la estructura del reporte.\n3. Se crea un nuevo Google Sheet.\n4. Se escriben encabezados, resultados y resúmenes.\n5. Se aplican formatos de moneda, fechas y columnas.\n6. Se configuran los permisos.\n7. Se comparte el archivo con los usuarios autorizados.\n\nReglas:\n\n- No depender únicamente del nombre para relacionar empleados.\n- No ocultar registros sin coincidencia.\n- No compartir el Sheet antes de finalizar su escritura.\n- No devolver el enlace hasta confirmar que el archivo existe.\n- Google Sheets funciona como entregable; las fuentes originales siguen siendo BambooHR, nómina y banco.", "height": 608, - "width": 2608, + "width": 3472, "color": "#5F721D" }, "type": "n8n-nodes-base.stickyNote", "typeVersion": 1, "position": [ - 20752, - 26288 + 43824, + 55184 ], - "id": "74dfb3d9-327a-428e-a0d8-400436289f6c", + "id": "902c6e8a-f767-430a-81ab-153ef58a1905", "name": "Sticky Note2" }, { "parameters": { "content": "# 🗂️ HISTÓRICO Y RESPUESTA FINAL\n\nRegistra en Supabase la ejecución completada y devuelve el resultado al Portal de Verificación de Nóminas.\n\nEl histórico puede almacenar:\n\n- País: Guatemala.\n- Año y mes procesados.\n- Tipo de período.\n- Fecha de ejecución.\n- Usuario que inició el proceso.\n- Cantidad de registros analizados.\n- Cantidad de diferencias o hallazgos.\n- Enlace del Google Sheet.\n- Estado inicial del reporte.\n- Identificador de la ejecución.\n\nDespués del registro:\n\n1. Se construye la respuesta para la aplicación.\n2. Se incluye el enlace al reporte generado.\n3. Se devuelve el resumen de resultados.\n4. Se informa si el procesamiento terminó correctamente.\n5. Se cierra la solicitud mediante Respond to Webhook.\n\nReglas:\n\n- Registrar el histórico solamente después de crear el reporte.\n- No declarar éxito si falló el Sheet o Supabase.\n- No devolver credenciales ni información interna.\n- Mantener una estructura estable para la aplicación.\n- Supabase es la fuente oficial de los históricos mostrados en el portal.", - "height": 656, - "width": 1760, + "height": 992, + "width": 2048, "color": 3 }, "type": "n8n-nodes-base.stickyNote", "typeVersion": 1, "position": [ - 23536, - 26256 + 47440, + 55104 ], - "id": "86284c0d-1d6b-4ed5-84a6-2dea3aaed6e8", + "id": "2cdfdfa6-b49b-4b28-85df-d70b1baef892", "name": "Sticky Note3" + }, + { + "parameters": { + "jsCode": "const prepared = $('Preparar histórico Supabase').first().json || {};\nconst payload = prepared.supabasePayload || {};\nconst metadata = payload.metadata || {};\nconst summary = payload.summary || {};\nconst reportUpdated = prepared.reportUpdated === true;\n\nfunction escapeHtml(value) {\n return String(value ?? '')\n .replace(/&/g, '&')\n .replace(//g, '>')\n .replace(/\"/g, '"')\n .replace(/'/g, ''');\n}\n\nfunction numberValue(value) {\n const parsed = Number(value);\n return Number.isFinite(parsed) ? parsed : 0;\n}\n\nfunction formatGeneratedAt(date) {\n const timeZone = 'America/Santo_Domingo';\n\n const dateLabel = new Intl.DateTimeFormat('es-DO', {\n timeZone,\n day: 'numeric',\n month: 'long',\n year: 'numeric',\n }).format(date);\n\n const timeLabel = new Intl.DateTimeFormat('es-DO', {\n timeZone,\n hour: 'numeric',\n minute: '2-digit',\n hour12: true,\n }).format(date);\n\n const hour24Raw = new Intl.DateTimeFormat('en-US', {\n timeZone,\n hour: '2-digit',\n hour12: false,\n }).format(date);\n\n const hour24 =\n Number(String(hour24Raw).replace(/\\D/g, '')) % 24;\n\n const hourArticle =\n hour24 === 1 || hour24 === 13\n ? 'a la'\n : 'a las';\n\n return `${dateLabel} ${hourArticle} ${timeLabel}`;\n}\n\nfunction metricCard(label, value, accent) {\n return `\n \n \n \n \n \n ${escapeHtml(label)}\n \n\n \n ${numberValue(value).toLocaleString('en-US')}\n \n \n \n \n \n `;\n}\n\nconst countryName =\n payload.country_name ||\n metadata.country_name ||\n (\n String(payload.country || '').toUpperCase() === 'TT'\n ? 'Trinidad y Tobago'\n : 'Guatemala'\n );\n\nconst countryCode = String(\n payload.country ||\n metadata.country ||\n ''\n).toUpperCase();\n\nconst periodLabel =\n payload.period_label ||\n metadata.period_label ||\n [\n payload.year || metadata.year,\n payload.month || metadata.month,\n payload.period_type || metadata.period_type,\n ]\n .filter(Boolean)\n .join(' · ') ||\n 'Período no especificado';\n\nconst executedByName =\n payload.ejecutado_por_nombre ||\n metadata.requested_by_name ||\n 'Usuario GLM';\n\nconst executedByEmail =\n payload.ejecutado_por_email ||\n metadata.requested_by_email ||\n '';\n\nconst reportUrl =\n payload.report_url ||\n prepared.reportUrl ||\n '';\n\nconst discrepancias = numberValue(\n payload.discrepancias ??\n summary.discrepancias\n);\n\nconst bancoSinNomina = numberValue(\n payload.banco_sin_nomina ??\n summary.bancoSinNomina\n);\n\nconst bancoSinBamboo = numberValue(\n payload.banco_sin_bamboo ??\n summary.bancoSinBamboo\n);\n\nconst diferenciasNombreBanco = numberValue(\n metadata.diferencias_nombre_banco ??\n summary.diferenciasNombreBanco\n);\n\nconst nominaSinCuenta = numberValue(\n payload.nomina_sin_cuenta ??\n summary.nominaSinCuenta\n);\n\nconst coincidencias = numberValue(\n payload.coincidencias ??\n summary.coincidencias\n);\n\nconst generatedAt = new Date();\nconst generatedAtLabel =\n formatGeneratedAt(generatedAt);\n\nconst statusLabel =\n String(payload.estado || '').toLowerCase() === 'resuelto'\n ? 'Resuelto'\n : 'Pendiente de revisión';\n\nconst logoUrl =\n 'https://dbit.digitalcompass.agency/storage/v1/object/public/public-assets/GLM_completo.png';\n\nconst flagUrl =\n countryCode === 'TT'\n ? 'https://dbit.digitalcompass.agency/storage/v1/object/public/public-assets/Flag_of_Trinidad_and_Tobago.svg.webp'\n : 'https://dbit.digitalcompass.agency/storage/v1/object/public/public-assets/Flag_of_Guatemala.svg.webp';\n\nconst subject = reportUpdated\n ? `Reporte actualizado - Cruce de Cuentas ${countryName} - ${periodLabel}`\n : `Nuevo reporte generado - Cruce de Cuentas ${countryName} - ${periodLabel}`;\n\n/*\n * Todos son destinatarios directos.\n * Nadie se envía en CC.\n */\n\nconst to = [\n 'iaracena@gomezleemarketing.com',\n 'jgomez@gomezleemarketing.com',\n 'mgomez@gomezleemarketing.com',\n 'vparamo@gomezleemarketing.com',\n 'ymadera@gomezleemarketing.com',\n 'jsepulveda@gomezlee.marketing',\n 'mbenitez@gomezlee.marketing',\n].join(',');\n\n\n// Paleta oficial GLM.\nconst metricCards = [\n metricCard(\n 'Discrepancias',\n discrepancias,\n '#FF6A13'\n ),\n metricCard(\n 'Banco sin nómina',\n bancoSinNomina,\n '#FF8C00'\n ),\n metricCard(\n 'Banco sin Bamboo',\n bancoSinBamboo,\n '#E87722'\n ),\n metricCard(\n 'Diferencias nombre banco',\n diferenciasNombreBanco,\n '#5B7F95'\n ),\n metricCard(\n 'Nómina sin cuenta',\n nominaSinCuenta,\n '#4F758B'\n ),\n].join('');\n\nconst htmlBody = `\n\n\n\n\n \n \n ${escapeHtml(subject)}\n\n\n\n\n \n \n \n\n \n\n \n \n \n  \n \n \n\n \n \n \n\n \n \n \n \n \n\n \n \n ${reportUpdated ? 'REPORTE ACTUALIZADO' : 'REPORTE GENERADO'}\n \n \n \n \n\n \n\n \n \n\n \n \n \n\n \n\n \n Cruce de Cuentas · ${escapeHtml(countryName)}\n \n\n \n ${escapeHtml(periodLabel)}\n \n\n \n\n \n \n\n \n \n\n \n \n \n\n \n ${reportUpdated ? 'Se actualizó el reporte existente del Portal de Cruce de Cuentas GLM conservando las resoluciones previamente registradas que continúan correspondiendo a los mismos casos.' : 'Se completó una nueva ejecución del Portal de Cruce de Cuentas GLM. Este es el resumen del reporte generado.'}\n \n\n \n \n\n \n \n \n\n \n \n ${metricCards}\n \n \n\n \n \n\n \n \n \n\n \n\n \n\n \n\n \n Ejecutado por\n \n\n \n ${escapeHtml(executedByName)}\n \n\n \n ${escapeHtml(\n executedByEmail ||\n 'Correo no disponible'\n )}\n \n\n \n\n \n\n \n País\n \n\n \n \n\n \n \n \n\n \n\n \n ${escapeHtml(countryName)}\n \n\n \n ${escapeHtml(\n countryCode || '—'\n )}\n \n\n \n\n \n \n\n \n\n \n\n \n\n \n\n \n Período\n \n\n \n ${escapeHtml(periodLabel)}\n \n\n \n ${escapeHtml(generatedAtLabel)}\n \n\n \n\n \n\n \n Estado inicial\n \n\n \n ${escapeHtml(statusLabel)}\n \n\n \n Coincidencias:\n ${coincidencias.toLocaleString('en-US')}\n \n\n \n\n \n\n \n\n \n \n\n \n ${\n reportUrl\n ? `\n \n \n\n \n Abrir reporte en Google Sheets\n \n\n \n \n `\n : ''\n }\n\n \n \n \n\n \n\n \n Notificación automática · Portal Cruce de Cuentas GLM\n
\n Los casos de revisión deben gestionarse directamente en el reporte generado.\n \n\n \n \n\n \n\n \n \n \n\n\n\n`;\n\nreturn [\n {\n json: {\n to,\n subject,\n htmlBody,\n\n notification: {\n country: countryCode,\n countryName,\n flagUrl,\n periodLabel,\n executedByName,\n executedByEmail,\n generatedAt: generatedAt.toISOString(),\n reportUrl,\n\n metrics: {\n discrepancias,\n bancoSinNomina,\n bancoSinBamboo,\n diferenciasNombreBanco,\n nominaSinCuenta,\n coincidencias,\n },\n },\n },\n },\n];" + }, + "type": "n8n-nodes-base.code", + "typeVersion": 2, + "position": [ + 49024, + 55728 + ], + "id": "6922b1cf-221c-416e-aff5-3e7e5cbfb509", + "name": "Preparar correo reporte generado" + }, + { + "parameters": { + "sendTo": "={{$json.to}}", + "subject": "={{$json.subject}}", + "message": "={{ $json.htmlBody }}", + "options": { + "appendAttribution": false + } + }, + "type": "n8n-nodes-base.gmail", + "typeVersion": 2.2, + "position": [ + 49264, + 55728 + ], + "id": "89ab7a7d-a7b2-456f-a675-291c1f96a72f", + "name": "Enviar correo reporte generado", + "webhookId": "c10f5aec-68bc-44d9-8152-2e14f8898e02", + "credentials": { + "gmailOAuth2": { + "id": "UDcO1FLJqA453V2D", + "name": "Gmail account 3" + } + }, + "onError": "continueRegularOutput" + }, + { + "parameters": { + "method": "POST", + "url": "https://dbit.digitalcompass.agency/rest/v1/rpc/cruce_cuentas_bamboo_aliases_activos", + "sendHeaders": true, + "headerParameters": { + "parameters": [ + { + "name": "apikey", + "value": "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyAgCiAgICAicm9sZSI6ICJzZXJ2aWNlX3JvbGUiLAogICAgImlzcyI6ICJzdXBhYmFzZS1kZW1vIiwKICAgICJpYXQiOiAxNjQxNzY5MjAwLAogICAgImV4cCI6IDE3OTk1MzU2MDAKfQ.DaYlNEoUrrEn2Ig7tqibS-PHK5vgusbcbo7X36XVt4Q" + }, + { + "name": "Authorization", + "value": "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyAgCiAgICAicm9sZSI6ICJzZXJ2aWNlX3JvbGUiLAogICAgImlzcyI6ICJzdXBhYmFzZS1kZW1vIiwKICAgICJpYXQiOiAxNjQxNzY5MjAwLAogICAgImV4cCI6IDE3OTk1MzU2MDAKfQ.DaYlNEoUrrEn2Ig7tqibS-PHK5vgusbcbo7X36XVt4Q" + }, + { + "name": "Content-Type", + "value": "application/json" + }, + { + "name": "Prefer", + "value": "return=representation" + } + ] + }, + "sendBody": true, + "specifyBody": "json", + "jsonBody": { + "p_pais": "GT" + }, + "options": { + "response": { + "response": { + "responseFormat": "json" + } + }, + "timeout": 30000 + } + }, + "type": "n8n-nodes-base.httpRequest", + "typeVersion": 4.4, + "position": [ + 44960, + 55392 + ], + "id": "95862c48-081a-475e-b155-a33f3c47d4e9", + "name": "Obtener alias BambooHR Supabase", + "retryOnFail": true, + "maxTries": 2, + "waitBetweenTries": 1000, + "onError": "continueRegularOutput" + }, + { + "parameters": { + "method": "POST", + "url": "https://dbit.digitalcompass.agency/rest/v1/rpc/cruce_cuentas_get_reporte_periodo", + "sendHeaders": true, + "headerParameters": { + "parameters": [ + { + "name": "apikey", + "value": "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyAgCiAgICAicm9sZSI6ICJzZXJ2aWNlX3JvbGUiLAogICAgImlzcyI6ICJzdXBhYmFzZS1kZW1vIiwKICAgICJpYXQiOiAxNjQxNzY5MjAwLAogICAgImV4cCI6IDE3OTk1MzU2MDAKfQ.DaYlNEoUrrEn2Ig7tqibS-PHK5vgusbcbo7X36XVt4Q" + }, + { + "name": "Authorization", + "value": "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyAgCiAgICAicm9sZSI6ICJzZXJ2aWNlX3JvbGUiLAogICAgImlzcyI6ICJzdXBhYmFzZS1kZW1vIiwKICAgICJpYXQiOiAxNjQxNzY5MjAwLAogICAgImV4cCI6IDE3OTk1MzU2MDAKfQ.DaYlNEoUrrEn2Ig7tqibS-PHK5vgusbcbo7X36XVt4Q" + }, + { + "name": "Content-Type", + "value": "application/json" + }, + { + "name": "Prefer", + "value": "return=representation" + } + ] + }, + "sendBody": true, + "specifyBody": "json", + "jsonBody": "={{ { p_country: $('Preparar Google Sheet').first().json.metadata.country || 'GT', p_year: Number($('Preparar Google Sheet').first().json.metadata.year || 0), p_month: Number($('Preparar Google Sheet').first().json.metadata.month || 0), p_period_type: $('Preparar Google Sheet').first().json.metadata.period_type || '' } }}", + "options": { + "response": { + "response": { + "responseFormat": "json" + } + }, + "timeout": 30000 + } + }, + "type": "n8n-nodes-base.httpRequest", + "typeVersion": 4.4, + "position": [ + 45168, + 55408 + ], + "id": "8f026cda-164d-4b51-954b-bbf2e881e539", + "name": "Buscar reporte existente Supabase" + }, + { + "parameters": { + "url": "={{ 'https://sheets.googleapis.com/v4/spreadsheets/' + $('Crear Google Sheet').first().json.spreadsheetId + '?includeGridData=true' }}", + "authentication": "predefinedCredentialType", + "nodeCredentialType": "googleOAuth2Api", + "options": { + "timeout": 60000 + } + }, + "type": "n8n-nodes-base.httpRequest", + "typeVersion": 4.4, + "position": [ + 45888, + 55408 + ], + "id": "7c64d38e-6469-4b04-8d3b-de56f49db2f7", + "name": "Leer Google Sheet actual", + "credentials": { + "googleOAuth2Api": { + "id": "dQ1MJSJSWcoWYcb8", + "name": "Google account - Isaac Producción" + } + } + }, + { + "parameters": { + "jsCode": "const prepared =\n $('Preparar Google Sheet').first().json || {};\n\nconst lookup =\n $('Buscar reporte existente Supabase').first().json || {};\n\nconst resolvedSheet =\n $('Crear Google Sheet').first().json || {};\n\nconst spreadsheet =\n $input.first().json || {};\n\nconst report =\n lookup && typeof lookup.report === 'object' && lookup.report\n ? lookup.report\n : {};\n\nconst historyExists =\n lookup.found === true &&\n Boolean(report.id);\n\nconst reusingSheet =\n historyExists &&\n Boolean(\n String(\n report.spreadsheet_id ||\n ''\n ).trim()\n );\n\nconst spreadsheetId =\n String(\n resolvedSheet.spreadsheetId ||\n report.spreadsheet_id ||\n spreadsheet.spreadsheetId ||\n ''\n ).trim();\n\nif (!spreadsheetId) {\n throw new Error(\n 'No se pudo resolver el spreadsheetId del reporte.'\n );\n}\n\nfunction normalizeText(value) {\n return String(value ?? '')\n .toLowerCase()\n .normalize('NFD')\n .replace(/[\\u0300-\\u036f]/g, '')\n .replace(/[^a-z0-9]+/g, ' ')\n .replace(/\\s+/g, ' ')\n .trim();\n}\n\nfunction normalizeAccount(value) {\n return String(value ?? '')\n .replace(/\\.0$/g, '')\n .replace(/\\D/g, '')\n .trim();\n}\n\nfunction cellValue(cell) {\n if (!cell || typeof cell !== 'object') {\n return '';\n }\n\n const entered =\n cell.userEnteredValue || {};\n\n if (\n entered.stringValue !== undefined\n ) {\n return String(entered.stringValue);\n }\n\n if (\n entered.numberValue !== undefined\n ) {\n return String(entered.numberValue);\n }\n\n if (\n entered.boolValue !== undefined\n ) {\n return entered.boolValue\n ? 'TRUE'\n : 'FALSE';\n }\n\n if (\n entered.formulaValue !== undefined\n ) {\n return String(\n cell.formattedValue ??\n entered.formulaValue\n );\n }\n\n return String(\n cell.formattedValue ?? ''\n );\n}\n\nfunction sheetMatrix(sheet) {\n const matrix = [];\n const blocks =\n Array.isArray(sheet?.data)\n ? sheet.data\n : [];\n\n for (const block of blocks) {\n const startRow =\n Number(block.startRow || 0);\n const rowData =\n Array.isArray(block.rowData)\n ? block.rowData\n : [];\n\n for (\n let rowOffset = 0;\n rowOffset < rowData.length;\n rowOffset++\n ) {\n const rowIndex =\n startRow + rowOffset;\n\n const cells =\n Array.isArray(\n rowData[rowOffset]?.values\n )\n ? rowData[rowOffset].values\n : [];\n\n matrix[rowIndex] =\n cells.map(cellValue);\n }\n }\n\n return matrix;\n}\n\nfunction findHeaderInfo(matrix) {\n for (\n let rowIndex = 0;\n rowIndex < matrix.length;\n rowIndex++\n ) {\n const row =\n Array.isArray(matrix[rowIndex])\n ? matrix[rowIndex]\n : [];\n\n const normalized =\n row.map(normalizeText);\n\n const resolutionIndex =\n normalized.findIndex(\n (value) =>\n value === 'resolucion'\n );\n\n if (resolutionIndex >= 0) {\n return {\n rowIndex,\n header: row,\n normalized,\n resolutionIndex,\n };\n }\n }\n\n return null;\n}\n\nfunction indexMatching(\n normalizedHeader,\n candidates\n) {\n for (const candidate of candidates) {\n const normalizedCandidate =\n normalizeText(candidate);\n\n const exact =\n normalizedHeader.findIndex(\n (header) =>\n header === normalizedCandidate\n );\n\n if (exact >= 0) {\n return exact;\n }\n }\n\n for (const candidate of candidates) {\n const normalizedCandidate =\n normalizeText(candidate);\n\n const partial =\n normalizedHeader.findIndex(\n (header) =>\n header.includes(\n normalizedCandidate\n )\n );\n\n if (partial >= 0) {\n return partial;\n }\n }\n\n return -1;\n}\n\nfunction firstAt(row, indexes) {\n for (const index of indexes) {\n if (\n index >= 0 &&\n String(row[index] ?? '').trim()\n ) {\n return String(row[index]);\n }\n }\n\n return '';\n}\n\nconst ids =\n prepared.sheetIds || {};\n\nfunction rowIdentity(\n sheetId,\n row,\n normalizedHeader\n) {\n const accountIndex =\n indexMatching(\n normalizedHeader,\n [\n 'Cuenta',\n 'Cuenta Banco',\n 'Cuenta Destino',\n ]\n );\n\n const account =\n accountIndex >= 0\n ? normalizeAccount(\n row[accountIndex]\n )\n : '';\n\n if (account) {\n return `account:${account}`;\n }\n\n if (\n Number(sheetId) ===\n Number(ids.nominaVsBanco)\n ) {\n const employeeIndex =\n indexMatching(\n normalizedHeader,\n ['Empleado', 'Nombre en nómina']\n );\n\n return `employee:${normalizeText(\n firstAt(\n row,\n [employeeIndex]\n )\n )}`;\n }\n\n if (\n Number(sheetId) ===\n Number(ids.bancoSinNomina)\n ) {\n const nameIndex =\n indexMatching(\n normalizedHeader,\n [\n 'Empleado Banco',\n 'Nombre en banco',\n ]\n );\n\n const currencyIndex =\n indexMatching(\n normalizedHeader,\n ['Moneda']\n );\n\n return [\n 'bank-no-payroll',\n normalizeText(\n firstAt(row, [nameIndex])\n ),\n normalizeText(\n firstAt(row, [currencyIndex])\n ),\n ].join(':');\n }\n\n if (\n Number(sheetId) ===\n Number(ids.bancoSinBamboo)\n ) {\n const nameIndex =\n indexMatching(\n normalizedHeader,\n ['Nombre en banco']\n );\n\n const holderIndex =\n indexMatching(\n normalizedHeader,\n ['Nombre del cuentahabiente']\n );\n\n return [\n 'bank-no-bamboo',\n normalizeText(\n firstAt(row, [nameIndex])\n ),\n normalizeText(\n firstAt(row, [holderIndex])\n ),\n ].join(':');\n }\n\n if (\n Number(sheetId) ===\n Number(ids.diferenciasNombreBanco)\n ) {\n const nameOne =\n indexMatching(\n normalizedHeader,\n [\n 'Nombre en Archivo',\n 'Nombre en nómina',\n ]\n );\n\n const nameTwo =\n indexMatching(\n normalizedHeader,\n [\n 'Nombre del Cuentahabiente',\n 'Nombre en banco',\n ]\n );\n\n return [\n 'name-difference',\n normalizeText(\n firstAt(row, [nameOne])\n ),\n normalizeText(\n firstAt(row, [nameTwo])\n ),\n ].join(':');\n }\n\n return '';\n}\n\nfunction collectRegularResolutions(\n sheetId,\n matrix\n) {\n const result = new Map();\n const info =\n findHeaderInfo(matrix);\n\n if (!info) {\n return result;\n }\n\n for (\n let rowIndex =\n info.rowIndex + 1;\n rowIndex < matrix.length;\n rowIndex++\n ) {\n const row =\n Array.isArray(matrix[rowIndex])\n ? matrix[rowIndex]\n : [];\n\n const resolution =\n String(\n row[\n info.resolutionIndex\n ] ?? ''\n ).trim();\n\n if (!resolution) {\n continue;\n }\n\n const key =\n rowIdentity(\n sheetId,\n row,\n info.normalized\n );\n\n if (key) {\n result.set(\n key,\n resolution\n );\n }\n }\n\n return result;\n}\n\nfunction collectWrongAccountResolutions(\n matrix\n) {\n const result = new Map();\n const info =\n findHeaderInfo(matrix);\n\n if (!info) {\n return result;\n }\n\n const fieldIndex =\n indexMatching(\n info.normalized,\n ['Campo']\n );\n\n const detailIndex =\n indexMatching(\n info.normalized,\n ['Detalle']\n );\n\n let currentEmployee = '';\n\n for (\n let rowIndex =\n info.rowIndex + 1;\n rowIndex < matrix.length;\n rowIndex++\n ) {\n const row =\n Array.isArray(matrix[rowIndex])\n ? matrix[rowIndex]\n : [];\n\n const field =\n normalizeText(\n row[fieldIndex] ?? ''\n );\n\n const detail =\n String(\n row[detailIndex] ?? ''\n );\n\n if (field === 'empleado') {\n currentEmployee =\n normalizeText(detail);\n }\n\n const resolution =\n String(\n row[\n info.resolutionIndex\n ] ?? ''\n ).trim();\n\n if (\n resolution &&\n currentEmployee &&\n field\n ) {\n result.set(\n `${currentEmployee}|${field}`,\n resolution\n );\n }\n }\n\n return result;\n}\n\nconst existingSheets =\n Array.isArray(spreadsheet.sheets)\n ? spreadsheet.sheets\n : [];\n\nconst sheetById =\n new Map();\n\nfor (const sheet of existingSheets) {\n const sheetId =\n sheet?.properties?.sheetId;\n\n if (\n sheetId !== null &&\n sheetId !== undefined\n ) {\n sheetById.set(\n Number(sheetId),\n sheet\n );\n }\n}\n\nconst resolutionMaps =\n new Map();\n\nif (reusingSheet) {\n for (\n const [key, rawId]\n of Object.entries(ids)\n ) {\n const sheetId =\n Number(rawId);\n\n const sheet =\n sheetById.get(sheetId);\n\n if (!sheet) {\n continue;\n }\n\n const matrix =\n sheetMatrix(sheet);\n\n const map =\n key === 'cuentaMalDigitada'\n ? collectWrongAccountResolutions(\n matrix\n )\n : collectRegularResolutions(\n sheetId,\n matrix\n );\n\n resolutionMaps.set(\n sheetId,\n map\n );\n }\n}\n\nfunction titleFromRange(range) {\n const match =\n String(range || '')\n .match(/^'([^']+)'!/);\n\n return match?.[1] || '';\n}\n\nconst desiredTitles =\n prepared.sheetTitles || {};\n\nconst titleToId =\n new Map();\n\nfor (\n const [key, title]\n of Object.entries(desiredTitles)\n) {\n if (\n ids[key] !== undefined\n ) {\n titleToId.set(\n String(title),\n Number(ids[key])\n );\n }\n}\n\nlet preservedResolutionsCount = 0;\n\nconst valueBatchBody =\n JSON.parse(\n JSON.stringify(\n prepared.valueBatchBody || {\n valueInputOption:\n 'USER_ENTERED',\n data: [],\n }\n )\n );\n\nfor (\n const dataEntry\n of valueBatchBody.data || []\n) {\n const title =\n titleFromRange(\n dataEntry.range\n );\n\n const sheetId =\n titleToId.get(title);\n\n if (\n sheetId === undefined ||\n !Array.isArray(\n dataEntry.values\n )\n ) {\n continue;\n }\n\n const info =\n findHeaderInfo(\n dataEntry.values\n );\n\n if (!info) {\n continue;\n }\n\n const oldMap =\n resolutionMaps.get(\n Number(sheetId)\n ) || new Map();\n\n if (\n Number(sheetId) ===\n Number(ids.cuentaMalDigitada)\n ) {\n const fieldIndex =\n indexMatching(\n info.normalized,\n ['Campo']\n );\n\n const detailIndex =\n indexMatching(\n info.normalized,\n ['Detalle']\n );\n\n let currentEmployee = '';\n\n for (\n let rowIndex =\n info.rowIndex + 1;\n rowIndex <\n dataEntry.values.length;\n rowIndex++\n ) {\n const row =\n dataEntry.values[\n rowIndex\n ];\n\n const field =\n normalizeText(\n row[fieldIndex] ?? ''\n );\n\n const detail =\n String(\n row[detailIndex] ?? ''\n );\n\n if (field === 'empleado') {\n currentEmployee =\n normalizeText(detail);\n }\n\n const key =\n currentEmployee && field\n ? `${currentEmployee}|${field}`\n : '';\n\n if (\n key &&\n oldMap.has(key)\n ) {\n while (\n row.length <=\n info.resolutionIndex\n ) {\n row.push('');\n }\n\n row[\n info.resolutionIndex\n ] = oldMap.get(key);\n\n preservedResolutionsCount++;\n }\n }\n\n continue;\n }\n\n for (\n let rowIndex =\n info.rowIndex + 1;\n rowIndex <\n dataEntry.values.length;\n rowIndex++\n ) {\n const row =\n dataEntry.values[\n rowIndex\n ];\n\n const key =\n rowIdentity(\n sheetId,\n row,\n info.normalized\n );\n\n if (\n key &&\n oldMap.has(key)\n ) {\n while (\n row.length <=\n info.resolutionIndex\n ) {\n row.push('');\n }\n\n row[\n info.resolutionIndex\n ] = oldMap.get(key);\n\n preservedResolutionsCount++;\n }\n }\n}\n\nconst desiredSheets =\n Array.isArray(\n prepared\n .createSpreadsheetBody\n ?.sheets\n )\n ? prepared\n .createSpreadsheetBody\n .sheets\n : [];\n\nconst existingIds =\n new Set(\n existingSheets\n .map(\n (sheet) =>\n Number(\n sheet?.properties\n ?.sheetId\n )\n )\n .filter(\n Number.isFinite\n )\n );\n\nconst desiredIds =\n new Set(\n desiredSheets\n .map(\n (sheet) =>\n Number(\n sheet?.properties\n ?.sheetId\n )\n )\n .filter(\n Number.isFinite\n )\n );\n\nconst newlyAddedSheetIds =\n new Set();\n\nconst structureRequests = [\n {\n updateSpreadsheetProperties: {\n properties: {\n title:\n prepared.spreadsheetTitle ||\n prepared\n .createSpreadsheetBody\n ?.properties?.title ||\n spreadsheet.properties\n ?.title ||\n 'Cruce de Cuentas GLM',\n },\n fields: 'title',\n },\n },\n];\n\nif (reusingSheet) {\n const optionalId =\n Number(\n ids.cuentaMalDigitada\n );\n\n if (\n Number.isFinite(optionalId) &&\n existingIds.has(optionalId) &&\n !desiredIds.has(optionalId)\n ) {\n structureRequests.push({\n deleteSheet: {\n sheetId: optionalId,\n },\n });\n\n existingIds.delete(\n optionalId\n );\n }\n\n for (\n let desiredIndex = 0;\n desiredIndex <\n desiredSheets.length;\n desiredIndex++\n ) {\n const desired =\n desiredSheets[\n desiredIndex\n ];\n\n const props =\n desired.properties || {};\n\n const desiredId =\n Number(props.sheetId);\n\n if (\n !Number.isFinite(\n desiredId\n )\n ) {\n continue;\n }\n\n const existing =\n existingSheets.find(\n (sheet) =>\n Number(\n sheet?.properties\n ?.sheetId\n ) === desiredId\n );\n\n if (!existing) {\n const sameTitle =\n existingSheets.find(\n (sheet) =>\n String(\n sheet?.properties\n ?.title || ''\n ) ===\n String(\n props.title || ''\n )\n );\n\n if (\n sameTitle &&\n Number(\n sameTitle\n ?.properties\n ?.sheetId\n ) !== desiredId\n ) {\n structureRequests.push({\n deleteSheet: {\n sheetId:\n Number(\n sameTitle\n .properties\n .sheetId\n ),\n },\n });\n }\n\n structureRequests.push({\n addSheet: {\n properties: {\n ...props,\n // El índice es 0-based. Así \"05 Cuenta Mal Digitada\"\n // vuelve exactamente antes de \"06 Resumen\" cuando reaparece.\n index:\n desiredIndex,\n gridProperties: {\n ...(props\n .gridProperties ||\n {}),\n frozenRowCount: 1,\n },\n },\n },\n });\n\n newlyAddedSheetIds.add(\n desiredId\n );\n\n continue;\n }\n\n const currentTitle =\n String(\n existing.properties\n ?.title || ''\n );\n\n const desiredTitle =\n String(\n props.title || ''\n );\n\n const currentIndex =\n Number(\n existing.properties\n ?.index\n );\n\n const titleNeedsUpdate =\n Boolean(\n desiredTitle &&\n currentTitle !==\n desiredTitle\n );\n\n const indexNeedsUpdate =\n Number.isFinite(\n currentIndex\n ) &&\n currentIndex !==\n desiredIndex;\n\n if (\n titleNeedsUpdate ||\n indexNeedsUpdate\n ) {\n const properties = {\n sheetId:\n desiredId,\n };\n\n const fields = [];\n\n if (titleNeedsUpdate) {\n properties.title =\n desiredTitle;\n fields.push('title');\n }\n\n if (indexNeedsUpdate) {\n properties.index =\n desiredIndex;\n fields.push('index');\n }\n\n structureRequests.push({\n updateSheetProperties: {\n properties,\n fields:\n fields.join(','),\n },\n });\n }\n }\n}\n\nconst originalFormatRequests =\n Array.isArray(\n prepared\n .formatBatchBody\n ?.requests\n )\n ? prepared\n .formatBatchBody\n .requests\n : [];\n\n/*\n * IMPORTANTE AL REUTILIZAR UN REPORTE:\n *\n * \"Actualizar estructura Google Sheet\" se ejecuta ANTES de\n * \"Formatear Google Sheet\". Cuando la estructura elimina una hoja\n * (por ejemplo, \"05 Cuenta Mal Digitada\" deja de ser necesaria),\n * Google elimina automáticamente también los ProtectedRange de esa hoja.\n *\n * Por eso NO debemos intentar borrar después esos protectedRangeId en el\n * batch de formato, porque ya dejaron de existir y Google responde:\n * \"Invalid requests[x].deleteProtectedRange: No protected range with id\".\n *\n * Se identifican aquí todas las hojas que serán eliminadas por el batch\n * de estructura y se excluyen sus protecciones del batch de formato.\n */\nconst sheetIdsScheduledForDeletion =\n new Set(\n structureRequests\n .map((request) =>\n Number(\n request?.deleteSheet?.sheetId\n )\n )\n .filter(Number.isFinite)\n );\n\nconst formatRequests = [];\nconst protectedRangeIdsScheduled =\n new Set();\n\nif (reusingSheet) {\n for (\n const sheet\n of existingSheets\n ) {\n const currentSheetId =\n Number(\n sheet?.properties?.sheetId\n );\n\n // Si esta hoja será eliminada en el paso de estructura, sus\n // protecciones también desaparecerán automáticamente.\n if (\n Number.isFinite(currentSheetId) &&\n sheetIdsScheduledForDeletion.has(\n currentSheetId\n )\n ) {\n continue;\n }\n\n const protections =\n Array.isArray(\n sheet.protectedRanges\n )\n ? sheet.protectedRanges\n : [];\n\n for (\n const protection\n of protections\n ) {\n const description =\n String(\n protection.description ||\n ''\n );\n\n const protectedRangeId =\n Number(\n protection\n .protectedRangeId\n );\n\n if (\n description.startsWith(\n 'Protección GLM'\n ) &&\n Number.isFinite(\n protectedRangeId\n ) &&\n !protectedRangeIdsScheduled.has(\n protectedRangeId\n )\n ) {\n protectedRangeIdsScheduled.add(\n protectedRangeId\n );\n\n formatRequests.push({\n deleteProtectedRange: {\n protectedRangeId,\n },\n });\n }\n }\n }\n}\n\n\n/*\n * Limpieza visual al reutilizar un reporte.\n *\n * values:batchClear elimina el CONTENIDO de las filas antiguas, pero Google\n * Sheets conserva su formato. Si una ejecución anterior tenía cientos de\n * discrepancias y la nueva tiene pocas, podían quedar celdas vacías con el\n * fondo rojo/amarillo aplicado por la ejecución anterior.\n *\n * La corrección es deliberadamente limitada: solamente se limpia el\n * background de las filas que quedan DESPUÉS de la última fila escrita por\n * la nueva ejecución. No se toca ninguna fila vigente, encabezado,\n * Resolución preservada, protección, borde, ancho, fórmula ni lógica del\n * cruce.\n */\nif (reusingSheet) {\n for (\n const dataEntry\n of valueBatchBody.data || []\n ) {\n const title =\n titleFromRange(\n dataEntry.range\n );\n\n const currentSheetId =\n Number(\n titleToId.get(title)\n );\n\n if (\n !Number.isFinite(\n currentSheetId\n ) ||\n sheetIdsScheduledForDeletion.has(\n currentSheetId\n ) ||\n newlyAddedSheetIds.has(\n currentSheetId\n )\n ) {\n continue;\n }\n\n const existingSheet =\n sheetById.get(\n currentSheetId\n );\n\n if (!existingSheet) {\n continue;\n }\n\n const currentValues =\n Array.isArray(\n dataEntry.values\n )\n ? dataEntry.values\n : [];\n\n const writtenRowCount =\n currentValues.length;\n\n const writtenColumnCount =\n currentValues.reduce(\n (maximum, row) =>\n Math.max(\n maximum,\n Array.isArray(row)\n ? row.length\n : 0\n ),\n 0\n );\n\n const gridRowCount =\n Number(\n existingSheet\n ?.properties\n ?.gridProperties\n ?.rowCount || 0\n );\n\n if (\n writtenRowCount <= 0 ||\n writtenColumnCount <= 0 ||\n !Number.isFinite(\n gridRowCount\n ) ||\n gridRowCount <=\n writtenRowCount\n ) {\n continue;\n }\n\n formatRequests.push({\n repeatCell: {\n range: {\n sheetId:\n currentSheetId,\n startRowIndex:\n writtenRowCount,\n endRowIndex:\n gridRowCount,\n startColumnIndex: 0,\n endColumnIndex:\n writtenColumnCount,\n },\n cell: {\n userEnteredFormat: {\n backgroundColor: {\n red: 1,\n green: 1,\n blue: 1,\n },\n },\n },\n fields:\n 'userEnteredFormat.backgroundColor',\n },\n });\n }\n}\n\nfor (\n const request\n of originalFormatRequests\n) {\n if (\n reusingSheet &&\n request.mergeCells\n ) {\n const mergeSheetId =\n Number(\n request\n .mergeCells\n ?.range\n ?.sheetId\n );\n\n if (\n !newlyAddedSheetIds.has(\n mergeSheetId\n )\n ) {\n continue;\n }\n }\n\n formatRequests.push(\n request\n );\n}\n\nconst clearRanges =\n (valueBatchBody.data || [])\n .map(\n (entry) =>\n entry.range\n )\n .filter(Boolean);\n\nreturn [\n {\n json: {\n ok: true,\n stage:\n 'google_sheet_destino_preparado',\n spreadsheetId,\n reportUrl:\n `https://docs.google.com/spreadsheets/d/${spreadsheetId}/edit`,\n historyExists,\n reportUpdated:\n historyExists,\n reusingSheet,\n existingHistoricalId:\n report.id\n ? String(report.id)\n : '',\n reportIdentity:\n String(\n report.report_identity ||\n ''\n ),\n previousReport:\n report,\n preservedResolutionsCount,\n valueBatchBody,\n structureBatchBody: {\n requests:\n structureRequests,\n },\n clearBatchBody: {\n ranges: clearRanges,\n },\n formatBatchBody: {\n requests:\n formatRequests,\n },\n originalResponse:\n prepared.originalResponse ||\n {},\n },\n },\n];" + }, + "type": "n8n-nodes-base.code", + "typeVersion": 2, + "position": [ + 46128, + 55408 + ], + "id": "763f50f1-7fce-4325-a879-0408a15a788c", + "name": "Preparar actualización Google Sheet" + }, + { + "parameters": { + "method": "POST", + "url": "={{ 'https://sheets.googleapis.com/v4/spreadsheets/' + $('Preparar actualización Google Sheet').first().json.spreadsheetId + ':batchUpdate' }}", + "authentication": "predefinedCredentialType", + "nodeCredentialType": "googleOAuth2Api", + "sendBody": true, + "specifyBody": "json", + "jsonBody": "={{ $('Preparar actualización Google Sheet').first().json.structureBatchBody }}", + "options": { + "timeout": 60000 + } + }, + "type": "n8n-nodes-base.httpRequest", + "typeVersion": 4.4, + "position": [ + 46368, + 55408 + ], + "id": "89f37d09-868e-4dcb-89f5-af7893ca1cb9", + "name": "Actualizar estructura Google Sheet", + "credentials": { + "googleOAuth2Api": { + "id": "dQ1MJSJSWcoWYcb8", + "name": "Google account - Isaac Producción" + } + } + }, + { + "parameters": { + "method": "POST", + "url": "={{ 'https://sheets.googleapis.com/v4/spreadsheets/' + $('Preparar actualización Google Sheet').first().json.spreadsheetId + '/values:batchClear' }}", + "authentication": "predefinedCredentialType", + "nodeCredentialType": "googleOAuth2Api", + "sendBody": true, + "specifyBody": "json", + "jsonBody": "={{ $('Preparar actualización Google Sheet').first().json.clearBatchBody }}", + "options": { + "timeout": 60000 + } + }, + "type": "n8n-nodes-base.httpRequest", + "typeVersion": 4.4, + "position": [ + 46608, + 55408 + ], + "id": "d271a0df-4ec5-4e72-8bab-3b27c18979c0", + "name": "Limpiar Google Sheet", + "credentials": { + "googleOAuth2Api": { + "id": "dQ1MJSJSWcoWYcb8", + "name": "Google account - Isaac Producción" + } + } } ], "connections": { @@ -1139,7 +1374,7 @@ "main": [ [ { - "node": "Crear Google Sheet", + "node": "Buscar reporte existente Supabase", "type": "main", "index": 0 } @@ -1150,7 +1385,7 @@ "main": [ [ { - "node": "Escribir Google Sheet", + "node": "Leer Google Sheet actual", "type": "main", "index": 0 } @@ -1230,6 +1465,11 @@ "node": "Preparar respuesta final", "type": "main", "index": 0 + }, + { + "node": "Preparar correo reporte generado", + "type": "main", + "index": 0 } ] ] @@ -1279,6 +1519,28 @@ ] }, "Merge - Agregar BambooHR": { + "main": [ + [ + { + "node": "Obtener alias BambooHR Supabase", + "type": "main", + "index": 0 + } + ] + ] + }, + "Preparar correo reporte generado": { + "main": [ + [ + { + "node": "Enviar correo reporte generado", + "type": "main", + "index": 0 + } + ] + ] + }, + "Obtener alias BambooHR Supabase": { "main": [ [ { @@ -1288,6 +1550,61 @@ } ] ] + }, + "Buscar reporte existente Supabase": { + "main": [ + [ + { + "node": "Crear Google Sheet", + "type": "main", + "index": 0 + } + ] + ] + }, + "Leer Google Sheet actual": { + "main": [ + [ + { + "node": "Preparar actualización Google Sheet", + "type": "main", + "index": 0 + } + ] + ] + }, + "Preparar actualización Google Sheet": { + "main": [ + [ + { + "node": "Actualizar estructura Google Sheet", + "type": "main", + "index": 0 + } + ] + ] + }, + "Actualizar estructura Google Sheet": { + "main": [ + [ + { + "node": "Limpiar Google Sheet", + "type": "main", + "index": 0 + } + ] + ] + }, + "Limpiar Google Sheet": { + "main": [ + [ + { + "node": "Escribir Google Sheet", + "type": "main", + "index": 0 + } + ] + ] } }, "settings": { @@ -1301,9 +1618,9 @@ }, "staticData": null, "meta": null, - "versionId": "afef0d83-31fc-44b2-87dd-05536d3520f2", - "activeVersionId": "afef0d83-31fc-44b2-87dd-05536d3520f2", - "versionCounter": 163, + "versionId": "ec3e7570-107e-499e-ba84-ae974344a33b", + "activeVersionId": "ec3e7570-107e-499e-ba84-ae974344a33b", + "versionCounter": 292, "triggerCount": 1, "shared": [ { @@ -1326,9 +1643,9 @@ ], "tags": [], "activeVersion": { - "updatedAt": "2026-07-27T15:00:48.000Z", - "createdAt": "2026-07-27T15:00:47.639Z", - "versionId": "afef0d83-31fc-44b2-87dd-05536d3520f2", + "updatedAt": "2026-08-14T12:10:58.000Z", + "createdAt": "2026-08-14T12:10:54.490Z", + "versionId": "ec3e7570-107e-499e-ba84-ae974344a33b", "workflowId": "d3vXYr7ucbaiU5ct", "nodes": [ { @@ -1341,10 +1658,10 @@ "type": "n8n-nodes-base.webhook", "typeVersion": 2.1, "position": [ - 14768, - 25968 + 37840, + 54864 ], - "id": "bbb096bb-6f2c-48df-907c-06c9857943ac", + "id": "eef28c96-33ce-44b6-a235-13ed9a5d98f7", "name": "Webhook", "webhookId": "4061b0e1-0d8e-4fb4-bea8-790c718447ee" }, @@ -1355,16 +1672,16 @@ "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ - 14976, - 25968 + 38048, + 54864 ], - "id": "756188b6-dc61-4e3a-965a-47885e847e69", + "id": "86073e68-3202-4b19-b6c1-940e404ba547", "name": "Preparar entrada app" }, { "parameters": { "respondWith": "json", - "responseBody": "={{\n(() => {\n const data = $json || {};\n\n const original =\n data.originalResponse ||\n data.original_response ||\n data.response ||\n data.cruceResponse ||\n data.cruce_response ||\n data;\n\n const summary = original.summary || data.summary || {};\n const rows = original.rows || data.rows || [];\n const bankWithoutBamboo =\n original.bankWithoutBamboo ||\n data.bankWithoutBamboo ||\n [];\n const bambooSummary =\n original.bambooSummary ||\n data.bambooSummary ||\n {};\n\n const reportUrl =\n data.reportUrl ||\n data.report_url ||\n data.googleSheetUrl ||\n data.google_sheet_url ||\n data.spreadsheetUrl ||\n data.spreadsheet_url ||\n original.reportUrl ||\n original.report_url ||\n null;\n\n return {\n ok: original.ok ?? data.ok ?? true,\n message: reportUrl\n ? 'Cruce procesado correctamente. Google Sheet generado.'\n : 'Cruce procesado correctamente.',\n stage: reportUrl ? 'cruce_completado_con_reporte' : 'cruce_completado',\n errors: original.errors || data.errors || [],\n metadata: original.metadata || data.metadata || {},\n summary,\n rows,\n bankWithoutBamboo,\n bambooSummary,\n reportUrl,\n debug: {\n source_stage: data.stage || null,\n rows_returned:\n Array.isArray(rows) ? rows.length : 0,\n banco_sin_bamboo_rows:\n Array.isArray(bankWithoutBamboo)\n ? bankWithoutBamboo.length\n : 0,\n report_url_found: Boolean(reportUrl),\n },\n };\n})()\n}}", + "responseBody": "={{\n(() => {\n const data = $json || {};\n\n const original =\n data.originalResponse ||\n data.original_response ||\n data.response ||\n data.cruceResponse ||\n data.cruce_response ||\n data;\n\n const summary = original.summary || data.summary || {};\n const rows = original.rows || data.rows || [];\n const bankWithoutBamboo =\n original.bankWithoutBamboo ||\n data.bankWithoutBamboo ||\n [];\n const bambooSummary =\n original.bambooSummary ||\n data.bambooSummary ||\n {};\n\n const reportUrl =\n data.reportUrl ||\n data.report_url ||\n data.googleSheetUrl ||\n data.google_sheet_url ||\n data.spreadsheetUrl ||\n data.spreadsheet_url ||\n original.reportUrl ||\n original.report_url ||\n null;\n\n return {\n ok: original.ok ?? data.ok ?? true,\n message: original.message || data.message || (reportUrl\n ? 'Cruce procesado correctamente. Google Sheet generado.'\n : 'Cruce procesado correctamente.'),\n stage: reportUrl ? 'cruce_completado_con_reporte' : 'cruce_completado',\n errors: original.errors || data.errors || [],\n metadata: original.metadata || data.metadata || {},\n summary,\n rows,\n bankWithoutBamboo,\n bambooSummary,\n reportUrl,\n executionId: original.executionId || data.executionId || null,\n reportUpdated: original.reportUpdated ?? data.reportUpdated ?? false,\n reusingSheet: original.reusingSheet ?? data.reusingSheet ?? false,\n preservedResolutionsCount: Number(original.preservedResolutionsCount ?? data.preservedResolutionsCount ?? 0),\n clientRequestId: original.clientRequestId || data.clientRequestId || original.metadata?.client_request_id || data.metadata?.client_request_id || null,\n debug: {\n source_stage: data.stage || null,\n rows_returned:\n Array.isArray(rows) ? rows.length : 0,\n banco_sin_bamboo_rows:\n Array.isArray(bankWithoutBamboo)\n ? bankWithoutBamboo.length\n : 0,\n report_url_found: Boolean(reportUrl),\n },\n };\n})()\n}}", "options": { "responseCode": 200, "responseHeaders": { @@ -1380,10 +1697,10 @@ "type": "n8n-nodes-base.respondToWebhook", "typeVersion": 1.5, "position": [ - 25056, - 26528 + 49264, + 55248 ], - "id": "cfa673b1-08ba-41c0-b06c-15189672e1f2", + "id": "ab7db212-d84c-4697-8234-961172d1559c", "name": "Respond to Webhook" }, { @@ -1393,10 +1710,10 @@ "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ - 15648, - 25152 + 38720, + 54048 ], - "id": "65e7f1a9-ac7a-46b5-8f9d-6729c5c80a31", + "id": "580deff5-8074-48d1-8bbb-7f0668bc00cc", "name": "Parsear CSV banco GT" }, { @@ -1408,23 +1725,23 @@ "type": "n8n-nodes-base.merge", "typeVersion": 3.2, "position": [ - 21264, - 26512 + 44528, + 55408 ], - "id": "c47dde0f-72aa-49b6-b58b-f7051df5df62", + "id": "6aea105e-558c-447a-8585-b7a9258e108f", "name": "Merge" }, { "parameters": { - "jsCode": "const data = $input.first().json || {};\n\nfunction roundMoney(value) {\n return Math.round((Number(value) || 0) * 100) / 100;\n}\n\nfunction moneyDiff(a, b) {\n return roundMoney((Number(a) || 0) - (Number(b) || 0));\n}\n\nfunction moneyEquals(a, b, tolerance = 0.02) {\n return Math.abs(roundMoney(a) - roundMoney(b)) <= tolerance;\n}\n\nfunction normalizeAccount(value) {\n return String(value ?? '')\n .replace(/\\.0$/g, '')\n .replace(/\\D/g, '')\n .trim();\n}\n\nfunction normalizeName(value) {\n return String(value ?? '')\n .toLowerCase()\n .normalize('NFD')\n .replace(/[\\u0300-\\u036f]/g, '')\n .replace(/[^a-z0-9 ]/g, ' ')\n .replace(/\\s+/g, ' ')\n .trim();\n}\n\nfunction nameWords(value) {\n const ignored = new Set(['de', 'del', 'la', 'las', 'los', 'y', 'e', 'el']);\n return normalizeName(value)\n .split(' ')\n .filter((word) => word.length > 1 && !ignored.has(word));\n}\n\nfunction editDistance(a, b) {\n if (a === b) return 0;\n if (!a) return b.length;\n if (!b) return a.length;\n\n const previous = Array.from({ length: b.length + 1 }, (_, index) => index);\n\n for (let i = 1; i <= a.length; i++) {\n const current = [i];\n\n for (let j = 1; j <= b.length; j++) {\n const cost = a[i - 1] === b[j - 1] ? 0 : 1;\n\n current[j] = Math.min(\n current[j - 1] + 1,\n previous[j] + 1,\n previous[j - 1] + cost\n );\n }\n\n for (let j = 0; j < current.length; j++) {\n previous[j] = current[j];\n }\n }\n\n return previous[b.length];\n}\n\nfunction tokenMatches(a, b) {\n if (a === b) return true;\n\n const minLength = Math.min(a.length, b.length);\n\n if (minLength >= 8 && editDistance(a, b) <= 2) return true;\n if (minLength >= 5 && editDistance(a, b) <= 1) return true;\n\n return false;\n}\n\nfunction samePersonName(a, b) {\n const normalizedA = normalizeName(a);\n const normalizedB = normalizeName(b);\n\n if (!normalizedA || !normalizedB) return false;\n if (normalizedA === normalizedB) return true;\n\n const wordsA = nameWords(a);\n const wordsB = nameWords(b);\n\n if (!wordsA.length || !wordsB.length) return false;\n\n const usedB = new Set();\n let matches = 0;\n\n for (const wordA of wordsA) {\n const matchIndex = wordsB.findIndex((wordB, index) => {\n return !usedB.has(index) && tokenMatches(wordA, wordB);\n });\n\n if (matchIndex >= 0) {\n usedB.add(matchIndex);\n matches += 1;\n }\n }\n\n const smallerLength = Math.min(wordsA.length, wordsB.length);\n const ratio = matches / smallerLength;\n\n if (smallerLength <= 2) {\n return matches === smallerLength && matches >= 2;\n }\n\n return matches >= 2 && ratio >= 0.6;\n}\n\nfunction accountDistance(a, b) {\n return editDistance(normalizeAccount(a), normalizeAccount(b));\n}\n\nfunction accountRelationship(payrollAccount, bankAccount) {\n const payroll = normalizeAccount(payrollAccount);\n const bank = normalizeAccount(bankAccount);\n\n if (!payroll || !bank) {\n return { matches: false, type: 'none' };\n }\n\n if (payroll === bank) {\n return { matches: true, type: 'exact' };\n }\n\n const bankHasPayrollSuffix =\n bank.endsWith(payroll) &&\n bank.length > payroll.length &&\n bank.length - payroll.length <= 6;\n\n const payrollHasBankSuffix =\n payroll.endsWith(bank) &&\n payroll.length > bank.length &&\n payroll.length - bank.length <= 6;\n\n if (bankHasPayrollSuffix || payrollHasBankSuffix) {\n return { matches: true, type: 'reference_prefix' };\n }\n\n return { matches: false, type: 'none' };\n}\n\nfunction formatMoney(value) {\n return Math.abs(roundMoney(value)).toLocaleString('en-US', {\n minimumFractionDigits: 2,\n maximumFractionDigits: 2,\n });\n}\n\nfunction bankNames(bank) {\n return Array.from(new Set([\n ...(Array.isArray(bank.bank_name_files) ? bank.bank_name_files : []),\n ...(Array.isArray(bank.bank_account_holders) ? bank.bank_account_holders : []),\n bank.bank_name_file || '',\n bank.bank_account_holder || '',\n ].filter(Boolean)));\n}\n\nfunction bankMatchesName(bank, payrollName) {\n return bankNames(bank).some((name) => samePersonName(payrollName, name));\n}\n\nfunction bestBankDisplayName(bank) {\n return (\n bank.bank_name_file ||\n bank.bank_account_holder ||\n bankNames(bank)[0] ||\n ''\n );\n}\n\n\nfunction bambooAliases(employee) {\n return Array.from(new Set([\n ...(Array.isArray(employee.aliases) ? employee.aliases : []),\n employee.full_name || '',\n [\n employee.first_name,\n employee.middle_name,\n employee.last_name,\n ].filter(Boolean).join(' '),\n [\n employee.preferred_name,\n employee.last_name,\n ].filter(Boolean).join(' '),\n [\n employee.first_name,\n employee.last_name,\n ].filter(Boolean).join(' '),\n ].map((value) =>\n String(value || '').trim()\n ).filter(Boolean)));\n}\n\nfunction bambooEmployeeNumber(employee) {\n return normalizeAccount(\n employee.employee_number ||\n employee.employeeNumber ||\n ''\n );\n}\n\nfunction bankRowKey(row) {\n return [\n row.source_file || '',\n row.row_number || '',\n ].join('|');\n}\n\nfunction bankRowNames(row) {\n const rowKey = bankRowKey(row);\n\n const linkedPayrollNames =\n typeof linkedPayrollNamesByBankRow !== 'undefined'\n ? linkedPayrollNamesByBankRow.get(rowKey) || []\n : [];\n\n return Array.from(new Set([\n row.bank_name_file || '',\n row.bank_account_holder || '',\n row.participant_name || '',\n ...linkedPayrollNames,\n ].map((value) =>\n String(value || '').trim()\n ).filter(Boolean)));\n}\n\nfunction bankRowEmployeeNumbers(row) {\n const rowKey = bankRowKey(row);\n\n const linkedNumbers =\n typeof linkedPayrollNumbersByBankRow !== 'undefined'\n ? linkedPayrollNumbersByBankRow.get(rowKey) || []\n : [];\n\n return Array.from(new Set(\n linkedNumbers\n .map(normalizeAccount)\n .filter((value) => value.length >= 6)\n ));\n}\n\nfunction extractDigitSequences(value) {\n return Array.from(new Set(\n String(value || '')\n .match(/\\d{6,20}/g) || []\n )).map(normalizeAccount).filter(\n (value) => value.length >= 6\n );\n}\n\nfunction bankRowReferenceNumbers(row) {\n return Array.from(new Set([\n ...extractDigitSequences(row.reference),\n ...extractDigitSequences(row.concept),\n ...extractDigitSequences(row.addenda),\n ...extractDigitSequences(row.participant_id),\n ]));\n}\n\nfunction isClearlyNonEmployeePayment(row) {\n const normalized = normalizeName([\n row.concept || '',\n row.bank_name_file || '',\n row.bank_account_holder || '',\n ].join(' '));\n\n return [\n 'pension alimenticia',\n 'embargo judicial',\n 'retencion judicial',\n ].some((token) =>\n normalized.includes(normalizeName(token))\n );\n}\n\nfunction buildBambooSearchIndex(employees) {\n const records = [];\n const exactAliasSets = new Map();\n const tokenIndexSets = new Map();\n const employeeNumberSets = new Map();\n\n for (\n let employeeIndex = 0;\n employeeIndex < employees.length;\n employeeIndex++\n ) {\n const employee = employees[employeeIndex];\n const aliases = [];\n const seenAliases = new Set();\n\n for (const rawAlias of bambooAliases(employee)) {\n const normalized = normalizeName(rawAlias);\n\n if (\n !normalized ||\n seenAliases.has(normalized)\n ) {\n continue;\n }\n\n seenAliases.add(normalized);\n\n const words = Array.from(new Set(\n nameWords(normalized)\n ));\n\n if (!words.length) continue;\n\n const wordSet = new Set(words);\n\n aliases.push({\n raw: rawAlias,\n normalized,\n words,\n wordSet,\n });\n\n let exactSet =\n exactAliasSets.get(normalized);\n\n if (!exactSet) {\n exactSet = new Set();\n exactAliasSets.set(\n normalized,\n exactSet\n );\n }\n\n exactSet.add(employeeIndex);\n\n for (const token of words) {\n if (token.length < 3) continue;\n\n let tokenSet =\n tokenIndexSets.get(token);\n\n if (!tokenSet) {\n tokenSet = new Set();\n tokenIndexSets.set(\n token,\n tokenSet\n );\n }\n\n tokenSet.add(employeeIndex);\n }\n }\n\n const employeeNumber =\n bambooEmployeeNumber(employee);\n\n if (employeeNumber.length >= 6) {\n let numberSet =\n employeeNumberSets.get(\n employeeNumber\n );\n\n if (!numberSet) {\n numberSet = new Set();\n employeeNumberSets.set(\n employeeNumber,\n numberSet\n );\n }\n\n numberSet.add(employeeIndex);\n }\n\n records.push({\n employee,\n aliases,\n employeeNumber,\n });\n }\n\n const exactAliasMap = new Map();\n const tokenIndex = new Map();\n const employeeNumberMap = new Map();\n\n for (const [key, value] of exactAliasSets) {\n exactAliasMap.set(\n key,\n Array.from(value)\n );\n }\n\n for (const [key, value] of tokenIndexSets) {\n tokenIndex.set(\n key,\n Array.from(value)\n );\n }\n\n for (\n const [key, value] of\n employeeNumberSets\n ) {\n employeeNumberMap.set(\n key,\n Array.from(value)\n );\n }\n\n return {\n records,\n exactAliasMap,\n tokenIndex,\n employeeNumberMap,\n };\n}\n\nfunction aliasMatchDetails(\n queryName,\n alias\n) {\n const queryNormalized =\n normalizeName(queryName);\n\n if (!queryNormalized) return null;\n\n if (\n queryNormalized === alias.normalized\n ) {\n return {\n score: 1,\n exact: true,\n containment: true,\n matchedTokens:\n alias.words.length,\n exactMatches:\n alias.words.length,\n fuzzyMatches: 0,\n queryCoverage: 1,\n aliasCoverage: 1,\n };\n }\n\n const queryWords = Array.from(\n new Set(nameWords(queryNormalized))\n );\n\n if (\n queryWords.length < 2 ||\n alias.words.length < 2\n ) {\n return null;\n }\n\n const querySet = new Set(queryWords);\n\n let exactMatches = 0;\n\n for (const queryWord of queryWords) {\n if (alias.wordSet.has(queryWord)) {\n exactMatches += 1;\n }\n }\n\n const queryInsideAlias =\n exactMatches === queryWords.length;\n\n let aliasWordsInsideQuery = 0;\n\n for (const aliasWord of alias.words) {\n if (querySet.has(aliasWord)) {\n aliasWordsInsideQuery += 1;\n }\n }\n\n const aliasInsideQuery =\n aliasWordsInsideQuery ===\n alias.words.length;\n\n if (\n queryInsideAlias ||\n aliasInsideQuery\n ) {\n const shorterLength = Math.min(\n queryWords.length,\n alias.words.length\n );\n const longerLength = Math.max(\n queryWords.length,\n alias.words.length\n );\n\n return {\n score:\n 0.90 +\n (\n shorterLength /\n Math.max(1, longerLength)\n ) * 0.09,\n exact: false,\n containment: true,\n matchedTokens: exactMatches,\n exactMatches,\n fuzzyMatches: 0,\n queryCoverage:\n exactMatches / queryWords.length,\n aliasCoverage:\n aliasWordsInsideQuery /\n alias.words.length,\n };\n }\n\n if (exactMatches < 2) {\n return null;\n }\n\n const usedAliasWords = new Set();\n let fuzzyMatches = 0;\n\n for (let queryIndex = 0;\n queryIndex < queryWords.length;\n queryIndex++\n ) {\n const queryWord =\n queryWords[queryIndex];\n\n if (alias.wordSet.has(queryWord)) {\n continue;\n }\n\n const aliasIndex =\n alias.words.findIndex(\n (aliasWord, currentIndex) =>\n !usedAliasWords.has(\n currentIndex\n ) &&\n !querySet.has(aliasWord) &&\n tokenMatches(\n queryWord,\n aliasWord\n )\n );\n\n if (aliasIndex >= 0) {\n usedAliasWords.add(aliasIndex);\n fuzzyMatches += 1;\n }\n }\n\n const matchedTokens =\n exactMatches + fuzzyMatches;\n\n if (\n fuzzyMatches > 1 ||\n matchedTokens < 3\n ) {\n return null;\n }\n\n const queryCoverage =\n matchedTokens / queryWords.length;\n\n const aliasCoverage =\n matchedTokens / alias.words.length;\n\n if (\n queryCoverage < 0.67 ||\n aliasCoverage < 0.60\n ) {\n return null;\n }\n\n return {\n score:\n queryCoverage * 0.48 +\n aliasCoverage * 0.32 +\n (\n exactMatches /\n matchedTokens\n ) * 0.20,\n exact: false,\n containment: false,\n matchedTokens,\n exactMatches,\n fuzzyMatches,\n queryCoverage,\n aliasCoverage,\n };\n}\n\nfunction candidateIndexesForName(\n normalizedName\n) {\n const tokens = Array.from(\n new Set(nameWords(normalizedName))\n ).filter((token) =>\n token.length >= 3\n );\n\n const votes = new Map();\n\n for (const token of tokens) {\n const indexes =\n bambooSearch.tokenIndex.get(token) || [];\n\n /*\n * Los tokens muy comunes no aportan suficiente identidad.\n * Ignorarlos evita cientos de candidatos y mantiene el nodo rápido.\n */\n if (indexes.length > 240) continue;\n\n for (const index of indexes) {\n votes.set(\n index,\n (votes.get(index) || 0) + 1\n );\n }\n }\n\n return Array.from(votes.entries())\n .filter(([, voteCount]) =>\n voteCount >= 2 ||\n (\n tokens.length === 2 &&\n voteCount === 2\n )\n )\n .sort((left, right) =>\n right[1] - left[1]\n )\n .slice(0, 90)\n .map(([index]) => index);\n}\n\nconst bambooMatchCache = new Map();\n\nfunction findBambooMatch(bankRow) {\n const names = bankRowNames(bankRow)\n .map((raw) => ({\n raw,\n normalized:\n normalizeName(raw),\n tokenCount:\n nameWords(raw).length,\n }))\n .filter((entry) =>\n entry.normalized &&\n entry.tokenCount >= 2\n )\n .sort((left, right) =>\n right.tokenCount -\n left.tokenCount\n );\n\n const directEmployeeNumbers =\n bankRowEmployeeNumbers(bankRow);\n\n const referenceNumbers =\n bankRowReferenceNumbers(bankRow);\n\n const cacheKey = [\n ...directEmployeeNumbers\n .slice()\n .sort(),\n ...referenceNumbers\n .slice()\n .sort(),\n ...names\n .map((entry) =>\n entry.normalized\n )\n .sort(),\n ].join('|');\n\n if (bambooMatchCache.has(cacheKey)) {\n return bambooMatchCache.get(\n cacheKey\n );\n }\n\n const numberCandidates = new Set();\n\n for (const employeeNumber of [\n ...directEmployeeNumbers,\n ...referenceNumbers,\n ]) {\n for (\n const index of\n bambooSearch.employeeNumberMap\n .get(employeeNumber) || []\n ) {\n numberCandidates.add(index);\n }\n }\n\n if (numberCandidates.size === 1) {\n const index =\n numberCandidates.values()\n .next().value;\n\n const result = {\n found: true,\n matched_by:\n directEmployeeNumbers.length\n ? 'employee_number_payroll'\n : 'employee_number_reference',\n confidence: 1,\n employee:\n bambooSearch.records[index]\n .employee,\n };\n\n bambooMatchCache.set(\n cacheKey,\n result\n );\n\n return result;\n }\n\n\n /*\n * Consulta primero la resolución calculada una sola vez en el\n * normalizador. Esto evita repetir búsquedas aproximadas por cada fila\n * bancaria y mantiene el task runner estable incluso con miles de\n * empleados en BambooHR.\n */\n const precomputedNameMatches =\n data.bamboo?.resolved_name_matches ||\n {};\n\n const precomputedNameEntries =\n names.map((entry) => {\n const raw =\n typeof entry === 'string'\n ? entry\n : entry?.raw || '';\n\n return {\n raw,\n normalized:\n typeof entry === 'string'\n ? normalizeName(entry)\n : (\n entry?.normalized ||\n normalizeName(raw)\n ),\n token_count:\n typeof entry === 'string'\n ? nameWords(entry).length\n : (\n entry?.tokenCount ||\n nameWords(raw).length\n ),\n };\n }).filter((entry) =>\n entry.normalized\n );\n\n const precomputedFoundByEmployee =\n new Map();\n\n function resolutionEmployeeKey(\n employee\n ) {\n return (\n String(\n employee?.bamboo_id ||\n ''\n ).trim() ||\n normalizeAccount(\n employee?.employee_number ||\n employee?.employeeNumber ||\n ''\n ) ||\n normalizeName(\n employee?.full_name ||\n employee?.displayName ||\n ''\n )\n );\n }\n\n for (\n const nameEntry of\n precomputedNameEntries\n ) {\n const decision =\n precomputedNameMatches[\n nameEntry.normalized\n ];\n\n if (\n !decision ||\n decision.found !== true\n ) {\n continue;\n }\n\n let employee =\n Number.isInteger(\n decision.employee_index\n )\n ? bambooEmployees[\n decision.employee_index\n ]\n : null;\n\n const expectedKey =\n String(\n decision.employee_key ||\n ''\n ).trim();\n\n if (\n !employee ||\n (\n expectedKey &&\n resolutionEmployeeKey(\n employee\n ) !== expectedKey\n )\n ) {\n employee =\n bambooEmployees.find(\n (candidate) =>\n resolutionEmployeeKey(\n candidate\n ) === expectedKey\n ) || null;\n }\n\n if (!employee) continue;\n\n const employeeKey =\n resolutionEmployeeKey(employee);\n\n const candidate = {\n employee,\n employee_key:\n employeeKey,\n confidence:\n Number(\n decision.confidence || 0\n ),\n matched_by:\n decision.matched_by ||\n 'precomputed_name',\n bank_name:\n nameEntry.raw,\n bamboo_alias:\n decision.bamboo_alias ||\n employee.full_name ||\n '',\n informativeness:\n nameEntry.token_count,\n };\n\n const existing =\n precomputedFoundByEmployee\n .get(employeeKey);\n\n if (\n !existing ||\n candidate.confidence >\n existing.confidence ||\n (\n candidate.confidence ===\n existing.confidence &&\n candidate.informativeness >\n existing.informativeness\n )\n ) {\n precomputedFoundByEmployee.set(\n employeeKey,\n candidate\n );\n }\n }\n\n const precomputedRanked =\n Array.from(\n precomputedFoundByEmployee\n .values()\n ).sort((left, right) => {\n if (\n right.confidence !==\n left.confidence\n ) {\n return (\n right.confidence -\n left.confidence\n );\n }\n\n return (\n right.informativeness -\n left.informativeness\n );\n });\n\n if (precomputedRanked.length === 1) {\n const best =\n precomputedRanked[0];\n\n const result = {\n found: true,\n matched_by:\n best.matched_by,\n confidence:\n best.confidence,\n employee:\n best.employee,\n bank_name:\n best.bank_name,\n bamboo_alias:\n best.bamboo_alias,\n };\n\n bambooMatchCache.set(\n cacheKey,\n result\n );\n\n return result;\n }\n\n if (\n precomputedRanked.length > 1\n ) {\n const best =\n precomputedRanked[0];\n\n const second =\n precomputedRanked[1];\n\n if (\n best.confidence -\n second.confidence >= 0.08\n ) {\n const result = {\n found: true,\n matched_by:\n best.matched_by,\n confidence:\n best.confidence,\n employee:\n best.employee,\n bank_name:\n best.bank_name,\n bamboo_alias:\n best.bamboo_alias,\n };\n\n bambooMatchCache.set(\n cacheKey,\n result\n );\n\n return result;\n }\n\n const result = {\n found: false,\n matched_by: null,\n confidence:\n best.confidence,\n employee: null,\n ambiguous: true,\n reason:\n 'conflicting_precomputed_name_matches',\n best_candidate: {\n employee:\n best.employee,\n score:\n best.confidence,\n bank_name:\n best.bank_name,\n bamboo_alias:\n best.bamboo_alias,\n },\n };\n\n bambooMatchCache.set(\n cacheKey,\n result\n );\n\n return result;\n }\n\n\n /*\n * Primero se intenta una coincidencia textual exacta.\n * Se acepta solamente cuando todos los alias exactos apuntan\n * al mismo empleado.\n */\n const exactIndexes = new Set();\n\n for (const name of names) {\n for (\n const index of\n bambooSearch.exactAliasMap\n .get(name.normalized) || []\n ) {\n exactIndexes.add(index);\n }\n }\n\n if (exactIndexes.size === 1) {\n const index =\n exactIndexes.values()\n .next().value;\n\n const result = {\n found: true,\n matched_by: 'exact_name',\n confidence: 1,\n employee:\n bambooSearch.records[index]\n .employee,\n bank_name:\n names[0]?.raw || '',\n bamboo_alias:\n bambooSearch.records[index]\n .aliases[0]?.raw || '',\n };\n\n bambooMatchCache.set(\n cacheKey,\n result\n );\n\n return result;\n }\n\n const candidatesByEmployee =\n new Map();\n\n /*\n * La búsqueda ya no recorre todos los empleados.\n * Cada nombre consulta el índice invertido y solo compara\n * un máximo de 90 candidatos que comparten al menos dos palabras.\n */\n for (const name of names) {\n const candidateIndexes =\n candidateIndexesForName(\n name.normalized\n );\n\n for (const index of candidateIndexes) {\n const record =\n bambooSearch.records[index];\n\n let bestAliasMatch = null;\n let bestAlias = '';\n\n for (const alias of record.aliases) {\n const details =\n aliasMatchDetails(\n name.raw,\n alias\n );\n\n if (\n details &&\n (\n !bestAliasMatch ||\n details.score >\n bestAliasMatch.score\n )\n ) {\n bestAliasMatch = details;\n bestAlias = alias.raw;\n }\n }\n\n if (!bestAliasMatch) continue;\n\n const existing =\n candidatesByEmployee.get(index);\n\n const candidate = {\n index,\n employee: record.employee,\n score: bestAliasMatch.score,\n details: bestAliasMatch,\n bank_name: name.raw,\n bamboo_alias: bestAlias,\n informativeness:\n name.tokenCount,\n };\n\n if (\n !existing ||\n candidate.score >\n existing.score ||\n (\n candidate.score ===\n existing.score &&\n candidate.informativeness >\n existing.informativeness\n )\n ) {\n candidatesByEmployee.set(\n index,\n candidate\n );\n }\n }\n }\n\n const rankedCandidates =\n Array.from(\n candidatesByEmployee.values()\n ).sort((left, right) => {\n if (right.score !== left.score) {\n return right.score - left.score;\n }\n\n if (\n right.details.exactMatches !==\n left.details.exactMatches\n ) {\n return (\n right.details.exactMatches -\n left.details.exactMatches\n );\n }\n\n return (\n right.informativeness -\n left.informativeness\n );\n });\n\n const best =\n rankedCandidates[0] || null;\n\n const second =\n rankedCandidates[1] || null;\n\n const margin =\n best\n ? best.score -\n (second?.score || 0)\n : 0;\n\n const strongContainment =\n Boolean(\n best?.details?.containment &&\n best.details.exactMatches >= 2 &&\n (\n !second ||\n margin >= 0.035 ||\n best.details.exactMatches >\n second.details.exactMatches\n )\n );\n\n const strongPartial =\n Boolean(\n best &&\n !best.details.containment &&\n best.score >= 0.82 &&\n best.details.exactMatches >= 2 &&\n (\n !second ||\n margin >= 0.07\n )\n );\n\n let result;\n\n if (\n best &&\n (\n strongContainment ||\n strongPartial\n )\n ) {\n result = {\n found: true,\n matched_by:\n strongContainment\n ? 'unique_token_containment'\n : 'strong_indexed_name',\n confidence:\n Math.min(1, best.score),\n employee: best.employee,\n bank_name: best.bank_name,\n bamboo_alias:\n best.bamboo_alias,\n };\n } else {\n result = {\n found: false,\n matched_by: null,\n confidence:\n best?.score || 0,\n employee: null,\n ambiguous: Boolean(\n best &&\n second &&\n best.score >= 0.75 &&\n margin < 0.07\n ),\n best_candidate:\n best\n ? {\n employee:\n best.employee,\n score:\n best.score,\n bank_name:\n best.bank_name,\n bamboo_alias:\n best.bamboo_alias,\n }\n : null,\n };\n }\n\n bambooMatchCache.set(\n cacheKey,\n result\n );\n\n return result;\n}\n\nfunction supplementKey(supplement) {\n return [\n supplement.source_sheet || '',\n supplement.row_number || '',\n supplement.supplement_id || '',\n supplement.account || '',\n supplement.payroll_amount || 0,\n ].join('|');\n}\n\nconst payrollAccounts = (data.payroll?.grouped_by_account || [])\n .map((row) => ({\n ...row,\n group_key:\n row.group_key ||\n `${normalizeAccount(row.account)}:${row.currency || 'QTZ'}`,\n account: normalizeAccount(row.account),\n employee_name: row.employee_name || row.employee || '',\n employee_number: row.employee_number || row.employeeNumber || '',\n currency: row.currency || 'QTZ',\n payroll_amount: roundMoney(row.payroll_amount || row.payrollAmount),\n source_rows: Array.isArray(row.source_rows) ? [...row.source_rows] : [],\n source_sheets: Array.isArray(row.source_sheets)\n ? [...row.source_sheets]\n : [],\n }))\n .filter((row) => row.account && row.payroll_amount > 0);\n\nconst payrollNoAccountRows = (data.payroll?.no_account_rows || [])\n .map((row) => ({\n ...row,\n account: '',\n employee_name: row.employee_name || row.employee || '',\n employee_number: row.employee_number || row.employeeNumber || '',\n currency: row.currency || 'QTZ',\n payroll_amount: roundMoney(row.payroll_amount || row.payrollAmount),\n }))\n .filter((row) => row.payroll_amount > 0);\n\nconst bankAccounts = (data.bank?.grouped_by_account || [])\n .map((row) => ({\n ...row,\n group_key:\n row.group_key ||\n `ACCOUNT:${normalizeAccount(row.account)}:${row.currency || 'QTZ'}`,\n account: normalizeAccount(row.account),\n account_is_valid: Boolean(row.account_is_valid),\n currency: row.currency || 'QTZ',\n amount: roundMoney(row.amount || row.bank_amount || row.bankAmount),\n source_rows: Array.isArray(row.source_rows) ? [...row.source_rows] : [],\n }))\n .filter((row) => row.amount > 0);\n\nconst bambooEmployees = Array.isArray(data.bamboo?.employees)\n ? data.bamboo.employees\n : [];\n\nconst bambooValidationAvailable =\n data.bamboo?.fetch_complete === true &&\n data.bamboo?.validation_available === true &&\n bambooEmployees.length > 0;\n\nconst bambooValidationWarning =\n bambooValidationAvailable\n ? null\n : (\n data.errors?.find((error) =>\n String(error || '').toLowerCase().includes('bamboohr')\n ) ||\n 'La validación Banco sin Bamboo no estuvo disponible porque la descarga de empleados de BambooHR quedó incompleta.'\n );\n\nconst bambooSearch = buildBambooSearchIndex(\n bambooEmployees\n);\n\nconst bankDetailRows = Array.isArray(data.bank?.rows)\n ? data.bank.rows\n : [];\n\nconst potentialSupplements = (\n data.payroll?.potential_supplements ||\n data.debug_payroll?.potential_supplements ||\n data.debug_payroll?.attached_supplements ||\n []\n)\n .map((row) => ({\n ...row,\n account: normalizeAccount(row.account),\n currency: row.currency || 'QTZ',\n payroll_amount: roundMoney(row.payroll_amount || row.payrollAmount),\n }))\n .filter((row) => {\n const id = normalizeName(row.supplement_id || '');\n\n return (\n row.account &&\n row.payroll_amount >= 10 &&\n !id.includes('back up')\n );\n });\n\nconst supplementsByAccountCurrency = new Map();\n\nfor (const supplement of potentialSupplements) {\n const key = `${supplement.account}:${supplement.currency}`;\n const current = supplementsByAccountCurrency.get(key) || [];\n\n current.push(supplement);\n supplementsByAccountCurrency.set(key, current);\n}\n\nfunction chooseConditionalSupplements(payroll, bank) {\n const baseAmount = roundMoney(payroll.payroll_amount);\n const bankAmount = roundMoney(bank.amount);\n const candidates =\n supplementsByAccountCurrency.get(\n `${payroll.account}:${payroll.currency}`\n ) || [];\n\n if (\n !candidates.length ||\n bankAmount <= baseAmount + 0.02\n ) {\n return {\n selected: [],\n effectiveAmount: baseAmount,\n baseAmount,\n improvement: 0,\n };\n }\n\n const baseDifference = Math.abs(baseAmount - bankAmount);\n let bestSelected = [];\n let bestAmount = baseAmount;\n let bestDifference = baseDifference;\n\n if (candidates.length <= 12) {\n const combinations = 1 << candidates.length;\n\n for (let mask = 1; mask < combinations; mask++) {\n const selected = [];\n let selectedTotal = 0;\n\n for (let index = 0; index < candidates.length; index++) {\n if ((mask & (1 << index)) !== 0) {\n selected.push(candidates[index]);\n selectedTotal = roundMoney(\n selectedTotal + candidates[index].payroll_amount\n );\n }\n }\n\n const candidateAmount = roundMoney(baseAmount + selectedTotal);\n const candidateDifference = Math.abs(\n candidateAmount - bankAmount\n );\n\n if (candidateDifference < bestDifference) {\n bestSelected = selected;\n bestAmount = candidateAmount;\n bestDifference = candidateDifference;\n }\n }\n } else {\n const sorted = [...candidates].sort(\n (a, b) => b.payroll_amount - a.payroll_amount\n );\n\n let runningAmount = baseAmount;\n const selected = [];\n\n for (const candidate of sorted) {\n const nextAmount = roundMoney(\n runningAmount + candidate.payroll_amount\n );\n\n if (\n Math.abs(nextAmount - bankAmount) <\n Math.abs(runningAmount - bankAmount)\n ) {\n selected.push(candidate);\n runningAmount = nextAmount;\n }\n }\n\n bestSelected = selected;\n bestAmount = runningAmount;\n bestDifference = Math.abs(bestAmount - bankAmount);\n }\n\n const improvement = roundMoney(\n baseDifference - bestDifference\n );\n\n // Evita sumar valores accidentales o inmateriales, como un \"Asignado\" de Q1.\n if (!bestSelected.length || improvement < 5) {\n return {\n selected: [],\n effectiveAmount: baseAmount,\n baseAmount,\n improvement: 0,\n };\n }\n\n return {\n selected: bestSelected,\n effectiveAmount: roundMoney(bestAmount),\n baseAmount,\n improvement,\n };\n}\n\nfunction getDirectCandidates(payroll, matchedBankKeys) {\n return bankAccounts\n .filter((bank) => {\n if (matchedBankKeys.has(bank.group_key)) return false;\n if (bank.currency !== payroll.currency) return false;\n\n const relationship = accountRelationship(\n payroll.account,\n bank.account\n );\n\n if (!relationship.matches) return false;\n\n // Un sufijo de referencia solamente es válido cuando el nombre también\n // corresponde a la misma persona.\n if (\n relationship.type === 'reference_prefix' &&\n !bankMatchesName(bank, payroll.employee_name)\n ) {\n return false;\n }\n\n return true;\n })\n .map((bank) => {\n const relationship = accountRelationship(\n payroll.account,\n bank.account\n );\n const supplementDecision =\n chooseConditionalSupplements(payroll, bank);\n\n return {\n bank,\n relationship,\n supplementDecision,\n nameMatches: bankMatchesName(bank, payroll.employee_name),\n };\n })\n .sort((a, b) => {\n const exactDifference =\n Number(b.relationship.type === 'exact') -\n Number(a.relationship.type === 'exact');\n\n if (exactDifference !== 0) return exactDifference;\n\n const nameDifference =\n Number(b.nameMatches) - Number(a.nameMatches);\n\n if (nameDifference !== 0) return nameDifference;\n\n return (\n Math.abs(\n a.supplementDecision.effectiveAmount - a.bank.amount\n ) -\n Math.abs(\n b.supplementDecision.effectiveAmount - b.bank.amount\n )\n );\n });\n}\n\nfunction buildSources(payroll, selectedSupplements) {\n const supplementRows = selectedSupplements.map((row) => ({\n source_sheet: row.source_sheet,\n row_number: row.row_number,\n amount: row.payroll_amount,\n supplement_original_name:\n row.supplement_original_name || row.employee_name || '',\n supplement_id: row.supplement_id || '',\n applied_conditionally: true,\n }));\n\n const sourceRows = [\n ...(payroll.source_rows || []),\n ...supplementRows,\n ];\n\n const sourceSheets = Array.from(new Set([\n ...(payroll.source_sheets || []),\n ...selectedSupplements\n .map((row) => row.source_sheet)\n .filter(Boolean),\n ]));\n\n return { sourceRows, sourceSheets };\n}\n\nconst matchedPayrollKeys = new Set();\nconst matchedBankKeys = new Set();\nconst matchedNoAccountIndexes = new Set();\nconst appliedSupplementKeys = new Set();\nconst appliedSupplements = [];\nconst finalExactReconciliations = [];\nconst rows = [];\n\nfunction registerSupplements(selected) {\n for (const supplement of selected || []) {\n const key = supplementKey(supplement);\n\n if (!appliedSupplementKeys.has(key)) {\n appliedSupplementKeys.add(key);\n appliedSupplements.push(supplement);\n }\n }\n}\n\n// 1) Cuenta exacta o referencia con prefijo, y monto conciliado.\nfor (const payroll of payrollAccounts) {\n const candidates = getDirectCandidates(\n payroll,\n matchedBankKeys\n ).filter((candidate) => {\n return moneyEquals(\n candidate.supplementDecision.effectiveAmount,\n candidate.bank.amount\n );\n });\n\n if (candidates.length !== 1) continue;\n\n const candidate = candidates[0];\n const bank = candidate.bank;\n const decision = candidate.supplementDecision;\n const sources = buildSources(payroll, decision.selected);\n\n matchedPayrollKeys.add(payroll.group_key);\n matchedBankKeys.add(bank.group_key);\n registerSupplements(decision.selected);\n\n rows.push({\n id: `match_${payroll.group_key}_${bank.group_key}`,\n employee: payroll.employee_name,\n employee_name: payroll.employee_name,\n employeeNumber: payroll.employee_number,\n employee_number: payroll.employee_number,\n account: payroll.account,\n payrollAccount: payroll.account,\n payroll_account: payroll.account,\n bankAccount: bank.account,\n bank_account: bank.account,\n currency: payroll.currency,\n payrollAmount: decision.effectiveAmount,\n payroll_amount: decision.effectiveAmount,\n payrollBaseAmount: decision.baseAmount,\n payroll_base_amount: decision.baseAmount,\n bankAmount: bank.amount,\n bank_amount: bank.amount,\n difference: 0,\n status: 'Coincidencia',\n category: 'coincidencia',\n subcategory:\n candidate.relationship.type === 'reference_prefix'\n ? 'referencia_bancaria_con_prefijo'\n : decision.selected.length\n ? 'cuenta_monto_y_suplemento_condicional'\n : 'cuenta_y_monto_coinciden',\n observation:\n candidate.relationship.type === 'reference_prefix'\n ? 'Conciliado por nombre, monto y referencia bancaria con prefijo.'\n : decision.selected.length\n ? 'Conciliado correctamente. Se aplicó un suplemento porque el banco mostró un pago adicional.'\n : 'Conciliado correctamente.',\n applied_supplements: decision.selected,\n source_sheets: sources.sourceSheets,\n source_rows: sources.sourceRows,\n bank_source_rows: bank.source_rows,\n });\n}\n\n// 2) Cuenta diferente, pero nombre y monto coinciden.\n// Se ejecuta antes de crear diferencias directas para resolver casos como\n// Ashly/Ashley Ramos: la cuenta de la nómina apunta a otra transacción,\n// pero existe otra cuenta bancaria con el mismo nombre y monto correcto.\nfor (const payroll of payrollAccounts) {\n if (matchedPayrollKeys.has(payroll.group_key)) continue;\n\n const candidates = bankAccounts\n .filter((bank) => {\n if (matchedBankKeys.has(bank.group_key)) return false;\n if (bank.currency !== payroll.currency) return false;\n if (!bankMatchesName(bank, payroll.employee_name)) return false;\n\n const decision = chooseConditionalSupplements(\n payroll,\n bank\n );\n\n return moneyEquals(\n decision.effectiveAmount,\n bank.amount\n );\n })\n .map((bank) => ({\n bank,\n supplementDecision: chooseConditionalSupplements(\n payroll,\n bank\n ),\n }));\n\n if (candidates.length !== 1) continue;\n\n const candidate = candidates[0];\n const bank = candidate.bank;\n const decision = candidate.supplementDecision;\n const relationship = accountRelationship(\n payroll.account,\n bank.account\n );\n\n // Las referencias con prefijo ya debieron resolverse en el paso 1.\n if (relationship.type === 'reference_prefix') continue;\n\n const sources = buildSources(payroll, decision.selected);\n\n matchedPayrollKeys.add(payroll.group_key);\n matchedBankKeys.add(bank.group_key);\n registerSupplements(decision.selected);\n\n rows.push({\n id: `possible_wrong_account_${payroll.group_key}_${bank.group_key}`,\n employee: payroll.employee_name || bestBankDisplayName(bank),\n employee_name:\n payroll.employee_name || bestBankDisplayName(bank),\n employeeNumber: payroll.employee_number,\n employee_number: payroll.employee_number,\n account: payroll.account,\n payrollAccount: payroll.account,\n payroll_account: payroll.account,\n bankAccount: bank.account,\n bank_account: bank.account,\n currency: payroll.currency,\n payrollAmount: decision.effectiveAmount,\n payroll_amount: decision.effectiveAmount,\n payrollBaseAmount: decision.baseAmount,\n payroll_base_amount: decision.baseAmount,\n bankAmount: bank.amount,\n bank_amount: bank.amount,\n difference: 0,\n status: 'Riesgo',\n category: 'posible_cuenta_mal_digitada',\n subcategory:\n 'nombre_y_monto_coinciden_cuenta_diferente',\n observation:\n `El nombre y el monto coinciden, pero la cuenta de nómina ` +\n `(${payroll.account || 'sin cuenta'}) es diferente a la cuenta ` +\n `del banco (${bank.account || 'sin cuenta válida'}).`,\n applied_supplements: decision.selected,\n source_sheets: sources.sourceSheets,\n source_rows: sources.sourceRows,\n bank_source_rows: bank.source_rows,\n });\n}\n\n// 3) Nómina sin cuenta válida: conciliar por nombre y monto.\nfor (\n let index = 0;\n index < payrollNoAccountRows.length;\n index++\n) {\n const payroll = payrollNoAccountRows[index];\n\n const candidates = bankAccounts.filter((bank) => {\n if (matchedBankKeys.has(bank.group_key)) return false;\n if (bank.currency !== payroll.currency) return false;\n if (!moneyEquals(bank.amount, payroll.payroll_amount)) {\n return false;\n }\n\n return bankMatchesName(bank, payroll.employee_name);\n });\n\n if (candidates.length !== 1) continue;\n\n const bank = candidates[0];\n\n matchedNoAccountIndexes.add(index);\n matchedBankKeys.add(bank.group_key);\n\n rows.push({\n id: `match_no_account_${index}_${bank.group_key}`,\n employee:\n payroll.employee_name || bestBankDisplayName(bank),\n employee_name:\n payroll.employee_name || bestBankDisplayName(bank),\n employeeNumber: payroll.employee_number,\n employee_number: payroll.employee_number,\n account: bank.account,\n payrollAccount: '',\n payroll_account: '',\n bankAccount: bank.account,\n bank_account: bank.account,\n currency: payroll.currency,\n payrollAmount: payroll.payroll_amount,\n payroll_amount: payroll.payroll_amount,\n bankAmount: bank.amount,\n bank_amount: bank.amount,\n difference: 0,\n status: 'Coincidencia',\n category: 'coincidencia',\n subcategory:\n 'conciliado_por_nombre_y_monto_sin_cuenta_nomina',\n observation:\n 'Conciliado por nombre y monto. La nómina no tenía una cuenta bancaria válida.',\n source_sheet: payroll.source_sheet,\n row_number: payroll.row_number,\n bank_source_rows: bank.source_rows,\n });\n}\n\n// 4) Diferencias reales en una cuenta exacta o equivalente.\nfor (const payroll of payrollAccounts) {\n if (matchedPayrollKeys.has(payroll.group_key)) continue;\n\n const candidates = getDirectCandidates(\n payroll,\n matchedBankKeys\n );\n\n if (!candidates.length) continue;\n\n const candidate = candidates[0];\n const bank = candidate.bank;\n const decision = candidate.supplementDecision;\n const sources = buildSources(payroll, decision.selected);\n const difference = moneyDiff(\n decision.effectiveAmount,\n bank.amount\n );\n\n matchedPayrollKeys.add(payroll.group_key);\n matchedBankKeys.add(bank.group_key);\n registerSupplements(decision.selected);\n\n rows.push({\n id: `difference_${payroll.group_key}_${bank.group_key}`,\n employee: payroll.employee_name,\n employee_name: payroll.employee_name,\n employeeNumber: payroll.employee_number,\n employee_number: payroll.employee_number,\n account: payroll.account,\n payrollAccount: payroll.account,\n payroll_account: payroll.account,\n bankAccount: bank.account,\n bank_account: bank.account,\n currency: payroll.currency,\n payrollAmount: decision.effectiveAmount,\n payroll_amount: decision.effectiveAmount,\n payrollBaseAmount: decision.baseAmount,\n payroll_base_amount: decision.baseAmount,\n bankAmount: bank.amount,\n bank_amount: bank.amount,\n difference,\n status: 'Riesgo',\n category: 'discrepancia',\n subcategory: 'diferencia_monto',\n observation:\n `Diferencia de ${payroll.currency} ` +\n `${formatMoney(difference)}.`,\n applied_supplements: decision.selected,\n source_sheets: sources.sourceSheets,\n source_rows: sources.sourceRows,\n bank_source_rows: bank.source_rows,\n });\n}\n\n\n// 4.5) Reconciliación final exacta de pares residuales.\n//\n// Este paso corrige casos en los que nómina y banco contienen:\n// - la misma cuenta normalizada;\n// - el mismo empleado;\n// - el mismo monto;\n// pero no fueron enlazados en los pasos anteriores por diferencias técnicas\n// de agrupación, moneda inferida o metadatos del CSV.\n//\n// Es deliberadamente conservador: exige una única contraparte bancaria.\nfor (const payroll of payrollAccounts) {\n if (matchedPayrollKeys.has(payroll.group_key)) continue;\n\n const candidates = bankAccounts\n .filter((bank) => {\n if (matchedBankKeys.has(bank.group_key)) return false;\n\n const payrollAccount = normalizeAccount(payroll.account);\n const bankAccount = normalizeAccount(bank.account);\n\n if (!payrollAccount || payrollAccount !== bankAccount) {\n return false;\n }\n\n if (!bankMatchesName(bank, payroll.employee_name)) {\n return false;\n }\n\n const decision = chooseConditionalSupplements(payroll, bank);\n\n return moneyEquals(\n decision.effectiveAmount,\n bank.amount\n );\n })\n .map((bank) => ({\n bank,\n supplementDecision: chooseConditionalSupplements(\n payroll,\n bank\n ),\n }));\n\n if (candidates.length !== 1) continue;\n\n const candidate = candidates[0];\n const bank = candidate.bank;\n const decision = candidate.supplementDecision;\n const sources = buildSources(\n payroll,\n decision.selected\n );\n\n matchedPayrollKeys.add(payroll.group_key);\n matchedBankKeys.add(bank.group_key);\n registerSupplements(decision.selected);\n\n finalExactReconciliations.push({\n employee_name: payroll.employee_name,\n employee_number: payroll.employee_number,\n account: payroll.account,\n payroll_currency: payroll.currency,\n bank_currency: bank.currency,\n payroll_amount: decision.effectiveAmount,\n bank_amount: bank.amount,\n payroll_group_key: payroll.group_key,\n bank_group_key: bank.group_key,\n });\n\n rows.push({\n id: `final_exact_match_${payroll.group_key}_${bank.group_key}`,\n employee: payroll.employee_name,\n employee_name: payroll.employee_name,\n employeeNumber: payroll.employee_number,\n employee_number: payroll.employee_number,\n account: payroll.account,\n payrollAccount: payroll.account,\n payroll_account: payroll.account,\n bankAccount: bank.account,\n bank_account: bank.account,\n currency: bank.currency || payroll.currency,\n payrollAmount: decision.effectiveAmount,\n payroll_amount: decision.effectiveAmount,\n payrollBaseAmount: decision.baseAmount,\n payroll_base_amount: decision.baseAmount,\n bankAmount: bank.amount,\n bank_amount: bank.amount,\n difference: 0,\n status: 'Coincidencia',\n category: 'coincidencia',\n subcategory: 'reconciliacion_final_cuenta_nombre_monto',\n observation:\n 'Conciliado por cuenta, nombre y monto en la validación final.',\n applied_supplements: decision.selected,\n source_sheets: sources.sourceSheets,\n source_rows: sources.sourceRows,\n bank_source_rows: bank.source_rows,\n });\n}\n\n// 5) Nómina con cuenta sin pago bancario.\nfor (const payroll of payrollAccounts) {\n if (matchedPayrollKeys.has(payroll.group_key)) continue;\n\n rows.push({\n id: `payroll_without_bank_${payroll.group_key}`,\n employee: payroll.employee_name,\n employee_name: payroll.employee_name,\n employeeNumber: payroll.employee_number,\n employee_number: payroll.employee_number,\n account: payroll.account,\n payrollAccount: payroll.account,\n payroll_account: payroll.account,\n bankAccount: '',\n bank_account: '',\n currency: payroll.currency,\n payrollAmount: payroll.payroll_amount,\n payroll_amount: payroll.payroll_amount,\n payrollBaseAmount: payroll.payroll_amount,\n payroll_base_amount: payroll.payroll_amount,\n bankAmount: 0,\n bank_amount: 0,\n difference: payroll.payroll_amount,\n status: 'Riesgo',\n category: 'discrepancia',\n subcategory: 'nomina_con_cuenta_sin_pago_banco',\n observation:\n 'Está en nómina, pero no aparece pagado en el banco.',\n applied_supplements: [],\n source_sheets: payroll.source_sheets,\n source_rows: payroll.source_rows,\n });\n}\n\n// 6) Banco sin nómina.\nfor (const bank of bankAccounts) {\n if (matchedBankKeys.has(bank.group_key)) continue;\n\n rows.push({\n id: `bank_without_payroll_${bank.group_key}`,\n employee:\n bestBankDisplayName(bank) || 'Pago bancario sin nómina',\n employee_name:\n bestBankDisplayName(bank) || 'Pago bancario sin nómina',\n employeeNumber: '',\n employee_number: '',\n account: bank.account,\n payrollAccount: '',\n payroll_account: '',\n bankAccount: bank.account,\n bank_account: bank.account,\n currency: bank.currency,\n payrollAmount: 0,\n payroll_amount: 0,\n bankAmount: bank.amount,\n bank_amount: bank.amount,\n difference: roundMoney(0 - bank.amount),\n status: 'Pendiente revisión',\n category: 'banco_sin_nomina',\n subcategory: 'pago_banco_sin_fila_nomina',\n observation:\n 'Recibió un pago en el banco, pero no aparece en la nómina cargada.',\n bank_source_rows: bank.source_rows,\n });\n}\n\n// 7) Nómina sin cuenta que no pudo conciliarse.\nfor (\n let index = 0;\n index < payrollNoAccountRows.length;\n index++\n) {\n if (matchedNoAccountIndexes.has(index)) continue;\n\n const payroll = payrollNoAccountRows[index];\n\n rows.push({\n id:\n `payroll_without_account_` +\n `${payroll.source_sheet}_${payroll.row_number}`,\n employee: payroll.employee_name,\n employee_name: payroll.employee_name,\n employeeNumber: payroll.employee_number,\n employee_number: payroll.employee_number,\n account: '',\n payrollAccount: '',\n payroll_account: '',\n bankAccount: '',\n bank_account: '',\n currency: payroll.currency,\n payrollAmount: payroll.payroll_amount,\n payroll_amount: payroll.payroll_amount,\n bankAmount: 0,\n bank_amount: 0,\n difference: payroll.payroll_amount,\n status: 'Pendiente revisión',\n category: 'nomina_sin_cuenta',\n subcategory: 'nomina_sin_cuenta_bancaria',\n observation:\n 'Tiene monto en nómina, pero no tiene una cuenta bancaria válida para cruzar contra el banco.',\n source_sheet: payroll.source_sheet,\n row_number: payroll.row_number,\n });\n}\n\n// 8) Consolidar el mismo empleado cuando aparece con dos cuentas de nómina.\nconst originalRows = [...rows];\nconst usedRowIds = new Set();\nconst consolidatedRows = [];\n\nfor (const differenceRow of originalRows) {\n if (\n differenceRow.category !== 'discrepancia' ||\n differenceRow.subcategory !== 'diferencia_monto' ||\n usedRowIds.has(differenceRow.id)\n ) {\n continue;\n }\n\n const extraPayrollRow = originalRows.find((candidate) => {\n if (\n candidate.id === differenceRow.id ||\n usedRowIds.has(candidate.id) ||\n candidate.subcategory !==\n 'nomina_con_cuenta_sin_pago_banco' ||\n candidate.currency !== differenceRow.currency\n ) {\n return false;\n }\n\n const samePerson = samePersonName(\n differenceRow.employee_name || differenceRow.employee,\n candidate.employee_name || candidate.employee\n );\n\n const similarAccounts =\n accountDistance(\n differenceRow.account,\n candidate.account\n ) <= 2;\n\n const combinedPayroll = roundMoney(\n differenceRow.payroll_amount +\n candidate.payroll_amount\n );\n\n const totalMatches = moneyEquals(\n combinedPayroll,\n differenceRow.bank_amount\n );\n\n return samePerson && similarAccounts && totalMatches;\n });\n\n if (!extraPayrollRow) continue;\n\n usedRowIds.add(differenceRow.id);\n usedRowIds.add(extraPayrollRow.id);\n\n const totalPayroll = roundMoney(\n differenceRow.payroll_amount +\n extraPayrollRow.payroll_amount\n );\n\n const accounts = Array.from(new Set([\n differenceRow.account,\n extraPayrollRow.account,\n ].filter(Boolean)));\n\n consolidatedRows.push({\n id:\n `split_account_` +\n `${differenceRow.account}_${extraPayrollRow.account}`,\n employee: differenceRow.employee_name,\n employee_name: differenceRow.employee_name,\n employeeNumber:\n differenceRow.employee_number ||\n extraPayrollRow.employee_number ||\n '',\n employee_number:\n differenceRow.employee_number ||\n extraPayrollRow.employee_number ||\n '',\n account:\n differenceRow.bank_account ||\n differenceRow.account,\n payrollAccount: accounts.join(' / '),\n payroll_account: accounts.join(' / '),\n bankAccount: differenceRow.bank_account,\n bank_account: differenceRow.bank_account,\n currency: differenceRow.currency,\n payrollAmount: totalPayroll,\n payroll_amount: totalPayroll,\n bankAmount: differenceRow.bank_amount,\n bank_amount: differenceRow.bank_amount,\n difference: moneyDiff(\n totalPayroll,\n differenceRow.bank_amount\n ),\n status: 'Riesgo',\n category: 'posible_cuenta_mal_digitada',\n subcategory:\n 'mismo_empleado_con_cuentas_distintas_en_nomina',\n observation:\n `El total de nómina coincide con el banco, pero el empleado ` +\n `aparece con cuentas distintas en la nómina: ` +\n `${accounts.join(' y ')}. La cuenta utilizada por el banco ` +\n `fue ${differenceRow.bank_account}.`,\n applied_supplements:\n differenceRow.applied_supplements || [],\n source_sheets: Array.from(new Set([\n ...(differenceRow.source_sheets || []),\n ...(extraPayrollRow.source_sheets || []),\n ])),\n source_rows: [\n ...(differenceRow.source_rows || []),\n ...(extraPayrollRow.source_rows || []),\n ],\n bank_source_rows:\n differenceRow.bank_source_rows || [],\n });\n}\n\nconst coreRows = [\n ...originalRows.filter(\n (row) => !usedRowIds.has(row.id)\n ),\n ...consolidatedRows,\n];\n\nconst coreCoincidencias = coreRows.filter(\n (row) => row.category === 'coincidencia'\n).length;\n\nconst coreDiscrepancias = coreRows.filter((row) => {\n return (\n row.category === 'discrepancia' ||\n row.category === 'posible_cuenta_mal_digitada'\n );\n}).length;\n\nconst coreBancoSinNomina = coreRows.filter(\n (row) => row.category === 'banco_sin_nomina'\n).length;\n\nconst coreNominaSinCuenta = coreRows.filter(\n (row) => row.category === 'nomina_sin_cuenta'\n).length;\n\nconst corePosiblesCuentas = coreRows.filter(\n (row) => row.category === 'posible_cuenta_mal_digitada'\n).length;\n\nconst linkedPayrollNamesByBankRow = new Map();\nconst linkedPayrollNumbersByBankRow = new Map();\n\nfor (const reconciliationRow of coreRows) {\n const linkedName =\n reconciliationRow.employee_name ||\n reconciliationRow.employee ||\n '';\n const linkedEmployeeNumber = normalizeAccount(\n reconciliationRow.employee_number ||\n reconciliationRow.employeeNumber ||\n ''\n );\n\n for (\n const bankSourceRow of\n reconciliationRow.bank_source_rows || []\n ) {\n const rowKey = bankRowKey(bankSourceRow);\n\n const names =\n linkedPayrollNamesByBankRow.get(rowKey) || [];\n const numbers =\n linkedPayrollNumbersByBankRow.get(rowKey) || [];\n\n if (linkedName) names.push(linkedName);\n if (linkedEmployeeNumber.length >= 6) {\n numbers.push(linkedEmployeeNumber);\n }\n\n linkedPayrollNamesByBankRow.set(\n rowKey,\n Array.from(new Set(names))\n );\n linkedPayrollNumbersByBankRow.set(\n rowKey,\n Array.from(new Set(numbers))\n );\n }\n}\n\nconst bambooMatchDetails = [];\nconst bambooExcludedPayments = [];\nconst bankWithoutBambooMap = new Map();\n\nif (bambooValidationAvailable) {\nfor (const bankRow of bankDetailRows) {\n if (isClearlyNonEmployeePayment(bankRow)) {\n bambooExcludedPayments.push({\n source_file: bankRow.source_file,\n row_number: bankRow.row_number,\n reason: 'pago_no_empleado_identificado',\n bank_name_file: bankRow.bank_name_file,\n bank_account_holder:\n bankRow.bank_account_holder,\n amount: bankRow.amount,\n currency: bankRow.currency,\n });\n continue;\n }\n\n const match = findBambooMatch(bankRow);\n\n if (match.found) {\n bambooMatchDetails.push({\n source_file: bankRow.source_file,\n row_number: bankRow.row_number,\n account: bankRow.account,\n amount: bankRow.amount,\n currency: bankRow.currency,\n bank_name_file: bankRow.bank_name_file,\n bank_account_holder:\n bankRow.bank_account_holder,\n matched_by: match.matched_by,\n confidence: roundMoney(match.confidence),\n bamboo_employee_number:\n match.employee?.employee_number || '',\n bamboo_employee_name:\n match.employee?.full_name || '',\n bamboo_status:\n match.employee?.status || '',\n bamboo_overlaps_period:\n Boolean(match.employee?.overlaps_period),\n });\n continue;\n }\n\n const displayName =\n bankRow.bank_name_file ||\n bankRow.bank_account_holder ||\n 'Pago bancario sin empleado identificado';\n\n const groupingKey = [\n normalizeAccount(bankRow.account),\n normalizeName(displayName),\n bankRow.currency || 'QTZ',\n ].join('|');\n\n const current =\n bankWithoutBambooMap.get(groupingKey) || {\n id: `bank_without_bamboo_${groupingKey}`,\n employee: displayName,\n employee_name: displayName,\n bank_name_file:\n bankRow.bank_name_file || '',\n bank_account_holder:\n bankRow.bank_account_holder || '',\n account: normalizeAccount(bankRow.account),\n bankAccount: normalizeAccount(bankRow.account),\n bank_account: normalizeAccount(bankRow.account),\n currency: bankRow.currency || 'QTZ',\n bankAmount: 0,\n bank_amount: 0,\n shipment_numbers: new Set(),\n references: new Set(),\n source_files: new Set(),\n source_rows: [],\n status: 'Pendiente revisión',\n category: 'banco_sin_bamboo',\n subcategory:\n 'pago_bancario_sin_empleado_bamboohr_gt',\n observation:\n 'Se encontró un pago en el banco, pero no se encontró una coincidencia confiable con un empleado de Guatemala en BambooHR.',\n best_bamboo_candidate:\n match.best_candidate\n ? {\n employee_number:\n match.best_candidate.employee\n ?.employee_number || '',\n employee_name:\n match.best_candidate.employee\n ?.full_name || '',\n score: roundMoney(\n match.best_candidate.score\n ),\n }\n : null,\n ambiguous_bamboo_match:\n Boolean(match.ambiguous),\n };\n\n current.bankAmount = roundMoney(\n current.bankAmount +\n Number(bankRow.amount || 0)\n );\n current.bank_amount = current.bankAmount;\n\n if (bankRow.shipment_number) {\n current.shipment_numbers.add(\n bankRow.shipment_number\n );\n }\n\n if (bankRow.reference) {\n current.references.add(bankRow.reference);\n }\n\n if (bankRow.source_file) {\n current.source_files.add(\n bankRow.source_file\n );\n }\n\n current.source_rows.push(bankRow);\n bankWithoutBambooMap.set(\n groupingKey,\n current\n );\n}\n}\n\nconst bankWithoutBamboo = Array.from(\n bankWithoutBambooMap.values()\n).map((row) => ({\n ...row,\n shipment_numbers: Array.from(\n row.shipment_numbers\n ),\n references: Array.from(row.references),\n source_files: Array.from(row.source_files),\n difference: roundMoney(\n 0 - row.bank_amount\n ),\n}));\n\nconst nameDifferenceRows = (\n data.bank?.name_differences || []\n).map((row) => ({\n id: row.id,\n employee: row.bank_name_file,\n employee_name: row.bank_name_file,\n employeeNumber: '',\n employee_number: '',\n account: row.account,\n payrollAccount: '',\n payroll_account: '',\n bankAccount: row.account,\n bank_account: row.account,\n currency: row.currency || 'QTZ',\n payrollAmount: 0,\n payroll_amount: 0,\n bankAmount: row.amount,\n bank_amount: row.amount,\n difference: 0,\n status: 'Pendiente revisión',\n category: 'diferencia_nombre_banco',\n subcategory: 'nombre_archivo_vs_cuentahabiente',\n observation: row.observation,\n bank_name_file: row.bank_name_file,\n bank_account_holder: row.bank_account_holder,\n source_file: row.source_file,\n shipment_number: row.shipment_number,\n plan_number: row.plan_number,\n reference: row.reference,\n row_number: row.row_number,\n}));\n\nfunction priority(row) {\n const category = String(\n row.category || ''\n ).toLowerCase();\n\n if (category === 'posible_cuenta_mal_digitada') return 1;\n if (category === 'discrepancia') return 2;\n if (category === 'banco_sin_nomina') return 3;\n if (category === 'nomina_sin_cuenta') return 4;\n if (category === 'diferencia_nombre_banco') return 5;\n if (category === 'coincidencia') return 99;\n\n return 50;\n}\n\nconst rowsFinales = [\n ...coreRows,\n ...nameDifferenceRows,\n].sort((a, b) => {\n const priorityDifference =\n priority(a) - priority(b);\n\n if (priorityDifference !== 0) {\n return priorityDifference;\n }\n\n return String(\n a.employee_name || ''\n ).localeCompare(\n String(b.employee_name || ''),\n 'es'\n );\n});\n\nconst appliedSupplementsTotal = roundMoney(\n appliedSupplements.reduce(\n (sum, row) => sum + row.payroll_amount,\n 0\n )\n);\n\nconst totalNominaBase = roundMoney(\n data.payroll?.total_amount || 0\n);\n\nconst totalNomina = roundMoney(\n totalNominaBase + appliedSupplementsTotal\n);\n\nconst totalBanco = roundMoney(\n data.bank?.total_amount || 0\n);\n\nconst diferenciasNombreBanco =\n nameDifferenceRows.length;\n\nconst pendientes =\n coreDiscrepancias +\n coreBancoSinNomina +\n coreNominaSinCuenta +\n diferenciasNombreBanco;\n\nconst unusedPotentialSupplements =\n potentialSupplements.filter((row) => {\n return !appliedSupplementKeys.has(\n supplementKey(row)\n );\n });\n\nconst bambooSummaryCompact = {\n ...(data.bamboo || {}),\n};\n\n/*\n * El arreglo completo de empleados solo se necesita dentro de este nodo.\n * No se reenvía a Google Sheets, Supabase ni al webhook para evitar cargar\n * cerca de 1 MB innecesario en todos los nodos posteriores.\n */\ndelete bambooSummaryCompact.employees;\n\nreturn [\n {\n json: {\n ok: true,\n stage: 'cruce_nomina_completa_banco_condicional',\n errors: [],\n metadata: data.metadata || {},\n summary: {\n coincidencias: coreCoincidencias,\n discrepancias: coreDiscrepancias,\n bancoSinNomina: coreBancoSinNomina,\n bancoSinBamboo: bankWithoutBamboo.length,\n nominaSinCuenta: coreNominaSinCuenta,\n diferenciasNombreBanco,\n posiblesCuentasMalDigitadas:\n corePosiblesCuentas,\n pendientes,\n filasNominaValidas:\n data.payroll?.valid_rows_count || 0,\n filasNominaSinCuenta:\n data.payroll?.no_account_rows_count || 0,\n suplementosPotenciales:\n potentialSupplements.length,\n suplementosNominaAplicados:\n appliedSupplements.length,\n suplementosNominaNoAplicados:\n unusedPotentialSupplements.length,\n suplementosNominaAdjuntados:\n appliedSupplements.length,\n suplementosNominaNoAdjuntados:\n data.payroll?.unattached_supplements_count || 0,\n reconciliacionesExactasFinales:\n finalExactReconciliations.length,\n cuentasNominaAgrupadas:\n payrollAccounts.length,\n transaccionesBanco:\n data.bank?.rows_count || 0,\n cuentasBancoAgrupadas:\n bankAccounts.length,\n empleadosBambooGT:\n bambooEmployees.length,\n empleadosBambooEnPeriodo:\n Number(\n data.bamboo?.active_in_period_count || 0\n ),\n bambooPaginasDescargadas:\n Number(\n data.bamboo?.pages_fetched || 0\n ),\n bambooEmpleadosEsperados:\n Number(\n data.bamboo?.expected_total || 0\n ),\n bambooDescargaCompleta:\n Boolean(\n data.bamboo?.fetch_complete\n ),\n bambooValidacionDisponible:\n bambooValidationAvailable,\n totalNominaBase,\n totalSuplementosAplicados:\n appliedSupplementsTotal,\n totalNomina,\n totalBanco,\n diferenciaTotal:\n moneyDiff(totalNomina, totalBanco),\n },\n rows: rowsFinales,\n bankWithoutBamboo,\n nameDifferences: nameDifferenceRows,\n bambooSummary: bambooSummaryCompact,\n reportUrl: null,\n debug: {\n sheet_summaries:\n data.payroll?.sheet_summaries || [],\n potential_supplements:\n potentialSupplements,\n applied_supplements:\n appliedSupplements,\n final_exact_reconciliations:\n finalExactReconciliations,\n bamboo_search:\n {\n employees_indexed:\n bambooSearch.records.length,\n exact_aliases:\n bambooSearch.exactAliasMap.size,\n indexed_tokens:\n bambooSearch.tokenIndex.size,\n cache_entries:\n bambooMatchCache.size,\n },\n bamboo_matches:\n bambooMatchDetails,\n bamboo_excluded_payments:\n bambooExcludedPayments,\n bamboo_validation_available:\n bambooValidationAvailable,\n bamboo_validation_warning:\n bambooValidationWarning,\n banco_sin_bamboo:\n bankWithoutBamboo,\n unused_potential_supplements:\n unusedPotentialSupplements,\n unattached_supplements:\n data.debug_payroll?.unattached_supplements || [],\n payroll_preview:\n payrollAccounts.slice(0, 10),\n bank_preview:\n bankAccounts.slice(0, 10),\n payroll_no_account_preview:\n payrollNoAccountRows.slice(0, 10),\n },\n },\n },\n];" + "jsCode": "const data = $('Merge - Agregar BambooHR').first().json || {};\nconst aliasResponse = $input.first().json || {};\nconst validatedBambooAliases = Array.isArray(aliasResponse.aliases)\n ? aliasResponse.aliases.filter((alias) => alias && alias.activo !== false)\n : [];\n\nfunction roundMoney(value) {\n return Math.round((Number(value) || 0) * 100) / 100;\n}\n\nfunction moneyDiff(a, b) {\n return roundMoney((Number(a) || 0) - (Number(b) || 0));\n}\n\nfunction moneyEquals(a, b, tolerance = 0.02) {\n return Math.abs(roundMoney(a) - roundMoney(b)) <= tolerance;\n}\n\nfunction normalizeAccount(value) {\n return String(value ?? '')\n .replace(/\\.0$/g, '')\n .replace(/\\D/g, '')\n .trim();\n}\n\nfunction normalizeName(value) {\n return String(value ?? '')\n .toLowerCase()\n .normalize('NFD')\n .replace(/[\\u0300-\\u036f]/g, '')\n .replace(/[^a-z0-9 ]/g, ' ')\n .replace(/\\s+/g, ' ')\n .trim();\n}\n\nfunction nameWords(value) {\n const ignored = new Set(['de', 'del', 'la', 'las', 'los', 'y', 'e', 'el']);\n return normalizeName(value)\n .split(' ')\n .filter((word) => word.length > 1 && !ignored.has(word));\n}\n\nfunction editDistance(a, b) {\n if (a === b) return 0;\n if (!a) return b.length;\n if (!b) return a.length;\n\n const previous = Array.from({ length: b.length + 1 }, (_, index) => index);\n\n for (let i = 1; i <= a.length; i++) {\n const current = [i];\n\n for (let j = 1; j <= b.length; j++) {\n const cost = a[i - 1] === b[j - 1] ? 0 : 1;\n\n current[j] = Math.min(\n current[j - 1] + 1,\n previous[j] + 1,\n previous[j - 1] + cost\n );\n }\n\n for (let j = 0; j < current.length; j++) {\n previous[j] = current[j];\n }\n }\n\n return previous[b.length];\n}\n\nfunction tokenMatches(a, b) {\n if (a === b) return true;\n\n const minLength = Math.min(a.length, b.length);\n\n if (minLength >= 8 && editDistance(a, b) <= 2) return true;\n if (minLength >= 5 && editDistance(a, b) <= 1) return true;\n\n return false;\n}\n\nfunction samePersonName(a, b) {\n const normalizedA = normalizeName(a);\n const normalizedB = normalizeName(b);\n\n if (!normalizedA || !normalizedB) return false;\n if (normalizedA === normalizedB) return true;\n\n const wordsA = nameWords(a);\n const wordsB = nameWords(b);\n\n if (!wordsA.length || !wordsB.length) return false;\n\n const usedB = new Set();\n let matches = 0;\n\n for (const wordA of wordsA) {\n const matchIndex = wordsB.findIndex((wordB, index) => {\n return !usedB.has(index) && tokenMatches(wordA, wordB);\n });\n\n if (matchIndex >= 0) {\n usedB.add(matchIndex);\n matches += 1;\n }\n }\n\n const smallerLength = Math.min(wordsA.length, wordsB.length);\n const ratio = matches / smallerLength;\n\n if (smallerLength <= 2) {\n return matches === smallerLength && matches >= 2;\n }\n\n return matches >= 2 && ratio >= 0.6;\n}\n\nfunction accountDistance(a, b) {\n return editDistance(normalizeAccount(a), normalizeAccount(b));\n}\n\nfunction accountRelationship(payrollAccount, bankAccount) {\n const payroll = normalizeAccount(payrollAccount);\n const bank = normalizeAccount(bankAccount);\n\n if (!payroll || !bank) {\n return { matches: false, type: 'none' };\n }\n\n if (payroll === bank) {\n return { matches: true, type: 'exact' };\n }\n\n const bankHasPayrollSuffix =\n bank.endsWith(payroll) &&\n bank.length > payroll.length &&\n bank.length - payroll.length <= 6;\n\n const payrollHasBankSuffix =\n payroll.endsWith(bank) &&\n payroll.length > bank.length &&\n payroll.length - bank.length <= 6;\n\n if (bankHasPayrollSuffix || payrollHasBankSuffix) {\n return { matches: true, type: 'reference_prefix' };\n }\n\n return { matches: false, type: 'none' };\n}\n\nfunction formatMoney(value) {\n return Math.abs(roundMoney(value)).toLocaleString('en-US', {\n minimumFractionDigits: 2,\n maximumFractionDigits: 2,\n });\n}\n\nfunction bankNames(bank) {\n return Array.from(new Set([\n ...(Array.isArray(bank.bank_name_files) ? bank.bank_name_files : []),\n ...(Array.isArray(bank.bank_account_holders) ? bank.bank_account_holders : []),\n bank.bank_name_file || '',\n bank.bank_account_holder || '',\n ].filter(Boolean)));\n}\n\nfunction bankMatchesName(bank, payrollName) {\n return bankNames(bank).some((name) => samePersonName(payrollName, name));\n}\n\nfunction bestBankDisplayName(bank) {\n return (\n bank.bank_name_file ||\n bank.bank_account_holder ||\n bankNames(bank)[0] ||\n ''\n );\n}\n\n\nfunction bambooAliases(employee) {\n return Array.from(new Set([\n ...(Array.isArray(employee.aliases) ? employee.aliases : []),\n employee.full_name || '',\n [\n employee.first_name,\n employee.middle_name,\n employee.last_name,\n ].filter(Boolean).join(' '),\n [\n employee.preferred_name,\n employee.last_name,\n ].filter(Boolean).join(' '),\n [\n employee.first_name,\n employee.last_name,\n ].filter(Boolean).join(' '),\n ].map((value) =>\n String(value || '').trim()\n ).filter(Boolean)));\n}\n\nfunction bambooEmployeeNumber(employee) {\n return normalizeAccount(\n employee.employee_number ||\n employee.employeeNumber ||\n ''\n );\n}\n\nfunction bankRowKey(row) {\n return [\n row.source_file || '',\n row.row_number || '',\n ].join('|');\n}\n\nfunction bankRowNames(row) {\n const rowKey = bankRowKey(row);\n\n const linkedPayrollNames =\n typeof linkedPayrollNamesByBankRow !== 'undefined'\n ? linkedPayrollNamesByBankRow.get(rowKey) || []\n : [];\n\n return Array.from(new Set([\n row.bank_name_file || '',\n row.bank_account_holder || '',\n row.participant_name || '',\n ...linkedPayrollNames,\n ].map((value) =>\n String(value || '').trim()\n ).filter(Boolean)));\n}\n\nfunction bankRowEmployeeNumbers(row) {\n const rowKey = bankRowKey(row);\n\n const linkedNumbers =\n typeof linkedPayrollNumbersByBankRow !== 'undefined'\n ? linkedPayrollNumbersByBankRow.get(rowKey) || []\n : [];\n\n return Array.from(new Set(\n linkedNumbers\n .map(normalizeAccount)\n .filter((value) => value.length >= 6)\n ));\n}\n\nfunction extractDigitSequences(value) {\n return Array.from(new Set(\n String(value || '')\n .match(/\\d{6,20}/g) || []\n )).map(normalizeAccount).filter(\n (value) => value.length >= 6\n );\n}\n\nfunction bankRowReferenceNumbers(row) {\n return Array.from(new Set([\n ...extractDigitSequences(row.reference),\n ...extractDigitSequences(row.concept),\n ...extractDigitSequences(row.addenda),\n ...extractDigitSequences(row.participant_id),\n ]));\n}\n\nfunction isClearlyNonEmployeePayment(row) {\n const normalized = normalizeName([\n row.concept || '',\n row.bank_name_file || '',\n row.bank_account_holder || '',\n ].join(' '));\n\n return [\n 'pension alimenticia',\n 'embargo judicial',\n 'retencion judicial',\n ].some((token) =>\n normalized.includes(normalizeName(token))\n );\n}\n\nfunction buildBambooSearchIndex(employees) {\n const records = [];\n const exactAliasSets = new Map();\n const tokenIndexSets = new Map();\n const employeeNumberSets = new Map();\n\n for (\n let employeeIndex = 0;\n employeeIndex < employees.length;\n employeeIndex++\n ) {\n const employee = employees[employeeIndex];\n const aliases = [];\n const seenAliases = new Set();\n\n for (const rawAlias of bambooAliases(employee)) {\n const normalized = normalizeName(rawAlias);\n\n if (\n !normalized ||\n seenAliases.has(normalized)\n ) {\n continue;\n }\n\n seenAliases.add(normalized);\n\n const words = Array.from(new Set(\n nameWords(normalized)\n ));\n\n if (!words.length) continue;\n\n const wordSet = new Set(words);\n\n aliases.push({\n raw: rawAlias,\n normalized,\n words,\n wordSet,\n });\n\n let exactSet =\n exactAliasSets.get(normalized);\n\n if (!exactSet) {\n exactSet = new Set();\n exactAliasSets.set(\n normalized,\n exactSet\n );\n }\n\n exactSet.add(employeeIndex);\n\n for (const token of words) {\n if (token.length < 3) continue;\n\n let tokenSet =\n tokenIndexSets.get(token);\n\n if (!tokenSet) {\n tokenSet = new Set();\n tokenIndexSets.set(\n token,\n tokenSet\n );\n }\n\n tokenSet.add(employeeIndex);\n }\n }\n\n const employeeNumber =\n bambooEmployeeNumber(employee);\n\n if (employeeNumber.length >= 6) {\n let numberSet =\n employeeNumberSets.get(\n employeeNumber\n );\n\n if (!numberSet) {\n numberSet = new Set();\n employeeNumberSets.set(\n employeeNumber,\n numberSet\n );\n }\n\n numberSet.add(employeeIndex);\n }\n\n records.push({\n employee,\n aliases,\n employeeNumber,\n });\n }\n\n const exactAliasMap = new Map();\n const tokenIndex = new Map();\n const employeeNumberMap = new Map();\n\n for (const [key, value] of exactAliasSets) {\n exactAliasMap.set(\n key,\n Array.from(value)\n );\n }\n\n for (const [key, value] of tokenIndexSets) {\n tokenIndex.set(\n key,\n Array.from(value)\n );\n }\n\n for (\n const [key, value] of\n employeeNumberSets\n ) {\n employeeNumberMap.set(\n key,\n Array.from(value)\n );\n }\n\n return {\n records,\n exactAliasMap,\n tokenIndex,\n employeeNumberMap,\n };\n}\n\nfunction aliasMatchDetails(\n queryName,\n alias\n) {\n const queryNormalized =\n normalizeName(queryName);\n\n if (!queryNormalized) return null;\n\n if (\n queryNormalized === alias.normalized\n ) {\n return {\n score: 1,\n exact: true,\n containment: true,\n matchedTokens:\n alias.words.length,\n exactMatches:\n alias.words.length,\n fuzzyMatches: 0,\n queryCoverage: 1,\n aliasCoverage: 1,\n };\n }\n\n const queryWords = Array.from(\n new Set(nameWords(queryNormalized))\n );\n\n if (\n queryWords.length < 2 ||\n alias.words.length < 2\n ) {\n return null;\n }\n\n const querySet = new Set(queryWords);\n\n let exactMatches = 0;\n\n for (const queryWord of queryWords) {\n if (alias.wordSet.has(queryWord)) {\n exactMatches += 1;\n }\n }\n\n const queryInsideAlias =\n exactMatches === queryWords.length;\n\n let aliasWordsInsideQuery = 0;\n\n for (const aliasWord of alias.words) {\n if (querySet.has(aliasWord)) {\n aliasWordsInsideQuery += 1;\n }\n }\n\n const aliasInsideQuery =\n aliasWordsInsideQuery ===\n alias.words.length;\n\n if (\n queryInsideAlias ||\n aliasInsideQuery\n ) {\n const shorterLength = Math.min(\n queryWords.length,\n alias.words.length\n );\n const longerLength = Math.max(\n queryWords.length,\n alias.words.length\n );\n\n return {\n score:\n 0.90 +\n (\n shorterLength /\n Math.max(1, longerLength)\n ) * 0.09,\n exact: false,\n containment: true,\n matchedTokens: exactMatches,\n exactMatches,\n fuzzyMatches: 0,\n queryCoverage:\n exactMatches / queryWords.length,\n aliasCoverage:\n aliasWordsInsideQuery /\n alias.words.length,\n };\n }\n\n if (exactMatches < 2) {\n return null;\n }\n\n const usedAliasWords = new Set();\n let fuzzyMatches = 0;\n\n for (let queryIndex = 0;\n queryIndex < queryWords.length;\n queryIndex++\n ) {\n const queryWord =\n queryWords[queryIndex];\n\n if (alias.wordSet.has(queryWord)) {\n continue;\n }\n\n const aliasIndex =\n alias.words.findIndex(\n (aliasWord, currentIndex) =>\n !usedAliasWords.has(\n currentIndex\n ) &&\n !querySet.has(aliasWord) &&\n tokenMatches(\n queryWord,\n aliasWord\n )\n );\n\n if (aliasIndex >= 0) {\n usedAliasWords.add(aliasIndex);\n fuzzyMatches += 1;\n }\n }\n\n const matchedTokens =\n exactMatches + fuzzyMatches;\n\n if (\n fuzzyMatches > 1 ||\n matchedTokens < 3\n ) {\n return null;\n }\n\n const queryCoverage =\n matchedTokens / queryWords.length;\n\n const aliasCoverage =\n matchedTokens / alias.words.length;\n\n if (\n queryCoverage < 0.67 ||\n aliasCoverage < 0.60\n ) {\n return null;\n }\n\n return {\n score:\n queryCoverage * 0.48 +\n aliasCoverage * 0.32 +\n (\n exactMatches /\n matchedTokens\n ) * 0.20,\n exact: false,\n containment: false,\n matchedTokens,\n exactMatches,\n fuzzyMatches,\n queryCoverage,\n aliasCoverage,\n };\n}\n\nfunction candidateIndexesForName(\n normalizedName\n) {\n const tokens = Array.from(\n new Set(nameWords(normalizedName))\n ).filter((token) =>\n token.length >= 3\n );\n\n const votes = new Map();\n\n for (const token of tokens) {\n const indexes =\n bambooSearch.tokenIndex.get(token) || [];\n\n /*\n * Los tokens muy comunes no aportan suficiente identidad.\n * Ignorarlos evita cientos de candidatos y mantiene el nodo rápido.\n */\n if (indexes.length > 240) continue;\n\n for (const index of indexes) {\n votes.set(\n index,\n (votes.get(index) || 0) + 1\n );\n }\n }\n\n return Array.from(votes.entries())\n .filter(([, voteCount]) =>\n voteCount >= 2 ||\n (\n tokens.length === 2 &&\n voteCount === 2\n )\n )\n .sort((left, right) =>\n right[1] - left[1]\n )\n .slice(0, 90)\n .map(([index]) => index);\n}\n\nconst bambooMatchCache = new Map();\n\nfunction findBambooMatch(bankRow) {\n const names = bankRowNames(bankRow)\n .map((raw) => ({\n raw,\n normalized:\n normalizeName(raw),\n tokenCount:\n nameWords(raw).length,\n }))\n .filter((entry) =>\n entry.normalized &&\n entry.tokenCount >= 2\n )\n .sort((left, right) =>\n right.tokenCount -\n left.tokenCount\n );\n\n const directEmployeeNumbers =\n bankRowEmployeeNumbers(bankRow);\n\n const referenceNumbers =\n bankRowReferenceNumbers(bankRow);\n\n const cacheKey = [\n ...directEmployeeNumbers\n .slice()\n .sort(),\n ...referenceNumbers\n .slice()\n .sort(),\n ...names\n .map((entry) =>\n entry.normalized\n )\n .sort(),\n ].join('|');\n\n if (bambooMatchCache.has(cacheKey)) {\n return bambooMatchCache.get(\n cacheKey\n );\n }\n\n const numberCandidates = new Set();\n\n for (const employeeNumber of [\n ...directEmployeeNumbers,\n ...referenceNumbers,\n ]) {\n for (\n const index of\n bambooSearch.employeeNumberMap\n .get(employeeNumber) || []\n ) {\n numberCandidates.add(index);\n }\n }\n\n if (numberCandidates.size === 1) {\n const index =\n numberCandidates.values()\n .next().value;\n\n const result = {\n found: true,\n matched_by:\n directEmployeeNumbers.length\n ? 'employee_number_payroll'\n : 'employee_number_reference',\n confidence: 1,\n employee:\n bambooSearch.records[index]\n .employee,\n };\n\n bambooMatchCache.set(\n cacheKey,\n result\n );\n\n return result;\n }\n\n\n /*\n * Consulta primero la resolución calculada una sola vez en el\n * normalizador. Esto evita repetir búsquedas aproximadas por cada fila\n * bancaria y mantiene el task runner estable incluso con miles de\n * empleados en BambooHR.\n */\n const precomputedNameMatches =\n data.bamboo?.resolved_name_matches ||\n {};\n\n const precomputedNameEntries =\n names.map((entry) => {\n const raw =\n typeof entry === 'string'\n ? entry\n : entry?.raw || '';\n\n return {\n raw,\n normalized:\n typeof entry === 'string'\n ? normalizeName(entry)\n : (\n entry?.normalized ||\n normalizeName(raw)\n ),\n token_count:\n typeof entry === 'string'\n ? nameWords(entry).length\n : (\n entry?.tokenCount ||\n nameWords(raw).length\n ),\n };\n }).filter((entry) =>\n entry.normalized\n );\n\n const precomputedFoundByEmployee =\n new Map();\n\n function resolutionEmployeeKey(\n employee\n ) {\n return (\n String(\n employee?.bamboo_id ||\n ''\n ).trim() ||\n normalizeAccount(\n employee?.employee_number ||\n employee?.employeeNumber ||\n ''\n ) ||\n normalizeName(\n employee?.full_name ||\n employee?.displayName ||\n ''\n )\n );\n }\n\n for (\n const nameEntry of\n precomputedNameEntries\n ) {\n const decision =\n precomputedNameMatches[\n nameEntry.normalized\n ];\n\n if (\n !decision ||\n decision.found !== true\n ) {\n continue;\n }\n\n let employee =\n Number.isInteger(\n decision.employee_index\n )\n ? bambooEmployees[\n decision.employee_index\n ]\n : null;\n\n const expectedKey =\n String(\n decision.employee_key ||\n ''\n ).trim();\n\n if (\n !employee ||\n (\n expectedKey &&\n resolutionEmployeeKey(\n employee\n ) !== expectedKey\n )\n ) {\n employee =\n bambooEmployees.find(\n (candidate) =>\n resolutionEmployeeKey(\n candidate\n ) === expectedKey\n ) || null;\n }\n\n if (!employee) continue;\n\n const employeeKey =\n resolutionEmployeeKey(employee);\n\n const candidate = {\n employee,\n employee_key:\n employeeKey,\n confidence:\n Number(\n decision.confidence || 0\n ),\n matched_by:\n decision.matched_by ||\n 'precomputed_name',\n bank_name:\n nameEntry.raw,\n bamboo_alias:\n decision.bamboo_alias ||\n employee.full_name ||\n '',\n informativeness:\n nameEntry.token_count,\n };\n\n const existing =\n precomputedFoundByEmployee\n .get(employeeKey);\n\n if (\n !existing ||\n candidate.confidence >\n existing.confidence ||\n (\n candidate.confidence ===\n existing.confidence &&\n candidate.informativeness >\n existing.informativeness\n )\n ) {\n precomputedFoundByEmployee.set(\n employeeKey,\n candidate\n );\n }\n }\n\n const precomputedRanked =\n Array.from(\n precomputedFoundByEmployee\n .values()\n ).sort((left, right) => {\n if (\n right.confidence !==\n left.confidence\n ) {\n return (\n right.confidence -\n left.confidence\n );\n }\n\n return (\n right.informativeness -\n left.informativeness\n );\n });\n\n if (precomputedRanked.length === 1) {\n const best =\n precomputedRanked[0];\n\n const result = {\n found: true,\n matched_by:\n best.matched_by,\n confidence:\n best.confidence,\n employee:\n best.employee,\n bank_name:\n best.bank_name,\n bamboo_alias:\n best.bamboo_alias,\n };\n\n bambooMatchCache.set(\n cacheKey,\n result\n );\n\n return result;\n }\n\n if (\n precomputedRanked.length > 1\n ) {\n const best =\n precomputedRanked[0];\n\n const second =\n precomputedRanked[1];\n\n if (\n best.confidence -\n second.confidence >= 0.08\n ) {\n const result = {\n found: true,\n matched_by:\n best.matched_by,\n confidence:\n best.confidence,\n employee:\n best.employee,\n bank_name:\n best.bank_name,\n bamboo_alias:\n best.bamboo_alias,\n };\n\n bambooMatchCache.set(\n cacheKey,\n result\n );\n\n return result;\n }\n\n const result = {\n found: false,\n matched_by: null,\n confidence:\n best.confidence,\n employee: null,\n ambiguous: true,\n reason:\n 'conflicting_precomputed_name_matches',\n best_candidate: {\n employee:\n best.employee,\n score:\n best.confidence,\n bank_name:\n best.bank_name,\n bamboo_alias:\n best.bamboo_alias,\n },\n };\n\n bambooMatchCache.set(\n cacheKey,\n result\n );\n\n return result;\n }\n\n\n /*\n * Primero se intenta una coincidencia textual exacta.\n * Se acepta solamente cuando todos los alias exactos apuntan\n * al mismo empleado.\n */\n const exactIndexes = new Set();\n\n for (const name of names) {\n for (\n const index of\n bambooSearch.exactAliasMap\n .get(name.normalized) || []\n ) {\n exactIndexes.add(index);\n }\n }\n\n if (exactIndexes.size === 1) {\n const index =\n exactIndexes.values()\n .next().value;\n\n const result = {\n found: true,\n matched_by: 'exact_name',\n confidence: 1,\n employee:\n bambooSearch.records[index]\n .employee,\n bank_name:\n names[0]?.raw || '',\n bamboo_alias:\n bambooSearch.records[index]\n .aliases[0]?.raw || '',\n };\n\n bambooMatchCache.set(\n cacheKey,\n result\n );\n\n return result;\n }\n\n const candidatesByEmployee =\n new Map();\n\n /*\n * La búsqueda ya no recorre todos los empleados.\n * Cada nombre consulta el índice invertido y solo compara\n * un máximo de 90 candidatos que comparten al menos dos palabras.\n */\n for (const name of names) {\n const candidateIndexes =\n candidateIndexesForName(\n name.normalized\n );\n\n for (const index of candidateIndexes) {\n const record =\n bambooSearch.records[index];\n\n let bestAliasMatch = null;\n let bestAlias = '';\n\n for (const alias of record.aliases) {\n const details =\n aliasMatchDetails(\n name.raw,\n alias\n );\n\n if (\n details &&\n (\n !bestAliasMatch ||\n details.score >\n bestAliasMatch.score\n )\n ) {\n bestAliasMatch = details;\n bestAlias = alias.raw;\n }\n }\n\n if (!bestAliasMatch) continue;\n\n const existing =\n candidatesByEmployee.get(index);\n\n const candidate = {\n index,\n employee: record.employee,\n score: bestAliasMatch.score,\n details: bestAliasMatch,\n bank_name: name.raw,\n bamboo_alias: bestAlias,\n informativeness:\n name.tokenCount,\n };\n\n if (\n !existing ||\n candidate.score >\n existing.score ||\n (\n candidate.score ===\n existing.score &&\n candidate.informativeness >\n existing.informativeness\n )\n ) {\n candidatesByEmployee.set(\n index,\n candidate\n );\n }\n }\n }\n\n const rankedCandidates =\n Array.from(\n candidatesByEmployee.values()\n ).sort((left, right) => {\n if (right.score !== left.score) {\n return right.score - left.score;\n }\n\n if (\n right.details.exactMatches !==\n left.details.exactMatches\n ) {\n return (\n right.details.exactMatches -\n left.details.exactMatches\n );\n }\n\n return (\n right.informativeness -\n left.informativeness\n );\n });\n\n const best =\n rankedCandidates[0] || null;\n\n const second =\n rankedCandidates[1] || null;\n\n const margin =\n best\n ? best.score -\n (second?.score || 0)\n : 0;\n\n const strongContainment =\n Boolean(\n best?.details?.containment &&\n best.details.exactMatches >= 2 &&\n (\n !second ||\n margin >= 0.035 ||\n best.details.exactMatches >\n second.details.exactMatches\n )\n );\n\n const strongPartial =\n Boolean(\n best &&\n !best.details.containment &&\n best.score >= 0.82 &&\n best.details.exactMatches >= 2 &&\n (\n !second ||\n margin >= 0.07\n )\n );\n\n let result;\n\n if (\n best &&\n (\n strongContainment ||\n strongPartial\n )\n ) {\n result = {\n found: true,\n matched_by:\n strongContainment\n ? 'unique_token_containment'\n : 'strong_indexed_name',\n confidence:\n Math.min(1, best.score),\n employee: best.employee,\n bank_name: best.bank_name,\n bamboo_alias:\n best.bamboo_alias,\n };\n } else {\n result = {\n found: false,\n matched_by: null,\n confidence:\n best?.score || 0,\n employee: null,\n ambiguous: Boolean(\n best &&\n second &&\n best.score >= 0.75 &&\n margin < 0.07\n ),\n best_candidate:\n best\n ? {\n employee:\n best.employee,\n score:\n best.score,\n bank_name:\n best.bank_name,\n bamboo_alias:\n best.bamboo_alias,\n }\n : null,\n };\n }\n\n bambooMatchCache.set(\n cacheKey,\n result\n );\n\n return result;\n}\n\nfunction supplementKey(supplement) {\n return [\n supplement.source_sheet || '',\n supplement.row_number || '',\n supplement.supplement_id || '',\n supplement.account || '',\n supplement.payroll_amount || 0,\n ].join('|');\n}\n\nconst payrollAccounts = (data.payroll?.grouped_by_account || [])\n .map((row) => ({\n ...row,\n group_key:\n row.group_key ||\n `${normalizeAccount(row.account)}:${row.currency || 'QTZ'}`,\n account: normalizeAccount(row.account),\n employee_name: row.employee_name || row.employee || '',\n employee_number: row.employee_number || row.employeeNumber || '',\n currency: row.currency || 'QTZ',\n payroll_amount: roundMoney(row.payroll_amount || row.payrollAmount),\n source_rows: Array.isArray(row.source_rows) ? [...row.source_rows] : [],\n source_sheets: Array.isArray(row.source_sheets)\n ? [...row.source_sheets]\n : [],\n }))\n .filter((row) => row.account && row.payroll_amount > 0);\n\nconst payrollNoAccountRows = (data.payroll?.no_account_rows || [])\n .map((row) => ({\n ...row,\n account: '',\n employee_name: row.employee_name || row.employee || '',\n employee_number: row.employee_number || row.employeeNumber || '',\n currency: row.currency || 'QTZ',\n payroll_amount: roundMoney(row.payroll_amount || row.payrollAmount),\n }))\n .filter((row) => row.payroll_amount > 0);\n\nconst bankAccounts = (data.bank?.grouped_by_account || [])\n .map((row) => ({\n ...row,\n group_key:\n row.group_key ||\n `ACCOUNT:${normalizeAccount(row.account)}:${row.currency || 'QTZ'}`,\n account: normalizeAccount(row.account),\n account_is_valid: Boolean(row.account_is_valid),\n currency: row.currency || 'QTZ',\n amount: roundMoney(row.amount || row.bank_amount || row.bankAmount),\n source_rows: Array.isArray(row.source_rows) ? [...row.source_rows] : [],\n }))\n .filter((row) => row.amount > 0);\n\nconst bambooEmployees = Array.isArray(data.bamboo?.employees)\n ? data.bamboo.employees\n : [];\n\nconst bambooValidationAvailable =\n data.bamboo?.fetch_complete === true &&\n data.bamboo?.validation_available === true &&\n bambooEmployees.length > 0;\n\nconst bambooValidationWarning =\n bambooValidationAvailable\n ? null\n : (\n data.errors?.find((error) =>\n String(error || '').toLowerCase().includes('bamboohr')\n ) ||\n 'La validación Banco sin Bamboo no estuvo disponible porque la descarga de empleados de BambooHR quedó incompleta.'\n );\n\nconst bambooSearch = buildBambooSearchIndex(\n bambooEmployees\n);\n\n/*\n * Equivalencias de identidad validadas manualmente por las revisoras.\n * Solo se aplican cuando el nombre detectado coincide EXACTAMENTE (ya\n * normalizado) con un alias activo y el empleado objetivo puede resolverse\n * de forma única en la descarga actual de BambooHR. Si existe cualquier\n * ambigüedad, el caso NO se oculta y continúa en Banco sin Bamboo.\n */\nfunction findValidatedAliasMatch(bankRow) {\n if (!validatedBambooAliases.length) return null;\n\n const sourceNames = new Set(\n bankRowNames(bankRow)\n .map((value) => normalizeName(value))\n .filter(Boolean)\n );\n\n if (!sourceNames.size) return null;\n\n const matchingAliases = validatedBambooAliases.filter((alias) => {\n if (!alias || alias.activo === false) return false;\n\n // Normalizamos el nombre ORIGINAL con las mismas reglas locales del\n // workflow. Así GT y TT conservan exactamente su tratamiento actual de\n // apóstrofes/guiones y no dependemos de cómo Supabase normalizó el texto.\n const source = normalizeName(\n alias.nombre_origen ||\n alias.nombre_origen_normalizado ||\n ''\n );\n\n if (!source || !sourceNames.has(source)) return false;\n\n // Si la validación humana se registró con una cuenta bancaria, exigimos\n // también esa cuenta exacta. Esto evita que dos personas con el mismo\n // nombre hereden una equivalencia incorrecta.\n const aliasAccount = normalizeAccount(alias.cuenta_bancaria || '');\n const currentAccount = normalizeAccount(bankRow.account || '');\n\n if (aliasAccount && aliasAccount !== currentAccount) return false;\n\n return true;\n });\n\n if (!matchingAliases.length) return null;\n\n const resolvedMatches = [];\n\n for (const alias of matchingAliases) {\n let resolvedIndex = null;\n let resolvedBy = '';\n\n const employeeNumber = normalizeAccount(\n alias.bamboo_employee_number || ''\n );\n\n if (employeeNumber.length >= 6) {\n const indexes =\n bambooSearch.employeeNumberMap.get(employeeNumber) || [];\n\n if (indexes.length === 1) {\n resolvedIndex = indexes[0];\n resolvedBy = 'validated_alias_employee_number';\n }\n }\n\n if (resolvedIndex === null) {\n const bambooId = String(\n alias.bamboo_employee_id || ''\n ).trim();\n\n if (bambooId) {\n const indexes = bambooSearch.records\n .map((record, index) => ({ record, index }))\n .filter(({ record }) =>\n String(\n record.employee?.bamboo_id ||\n record.employee?.employeeId ||\n record.employee?.id ||\n ''\n ).trim() === bambooId\n )\n .map(({ index }) => index);\n\n if (indexes.length === 1) {\n resolvedIndex = indexes[0];\n resolvedBy = 'validated_alias_bamboo_id';\n }\n }\n }\n\n if (resolvedIndex === null) {\n const bambooName = normalizeName(\n alias.bamboo_nombre || ''\n );\n\n if (bambooName) {\n const indexes =\n bambooSearch.exactAliasMap.get(bambooName) || [];\n\n if (indexes.length === 1) {\n resolvedIndex = indexes[0];\n resolvedBy = 'validated_alias_exact_bamboo_name';\n }\n }\n }\n\n if (resolvedIndex !== null) {\n resolvedMatches.push({\n index: resolvedIndex,\n alias,\n resolvedBy,\n });\n }\n }\n\n if (!resolvedMatches.length) return null;\n\n const employeeIndexes = Array.from(\n new Set(resolvedMatches.map((match) => match.index))\n );\n\n // Nunca suprimir un hallazgo si dos equivalencias apuntan a personas distintas.\n if (employeeIndexes.length !== 1) return null;\n\n const chosen = resolvedMatches.find(\n (match) => match.index === employeeIndexes[0]\n );\n const record = bambooSearch.records[employeeIndexes[0]];\n\n if (!chosen || !record?.employee) return null;\n\n return {\n found: true,\n matched_by: 'validated_bamboo_alias',\n confidence: 1,\n employee: record.employee,\n bank_name:\n bankRowNames(bankRow)[0] || '',\n bamboo_alias:\n chosen.alias.bamboo_nombre ||\n record.aliases?.[0]?.raw ||\n '',\n validated_alias_id:\n chosen.alias.id || '',\n validated_alias_resolution:\n chosen.resolvedBy,\n };\n}\n\n\nconst bankDetailRows = Array.isArray(data.bank?.rows)\n ? data.bank.rows\n : [];\n\nconst potentialSupplements = (\n data.payroll?.potential_supplements ||\n data.debug_payroll?.potential_supplements ||\n data.debug_payroll?.attached_supplements ||\n []\n)\n .map((row) => ({\n ...row,\n account: normalizeAccount(row.account),\n currency: row.currency || 'QTZ',\n payroll_amount: roundMoney(row.payroll_amount || row.payrollAmount),\n }))\n .filter((row) => {\n const id = normalizeName(row.supplement_id || '');\n\n return (\n row.account &&\n row.payroll_amount >= 10 &&\n !id.includes('back up')\n );\n });\n\nconst supplementsByAccountCurrency = new Map();\n\nfor (const supplement of potentialSupplements) {\n const key = `${supplement.account}:${supplement.currency}`;\n const current = supplementsByAccountCurrency.get(key) || [];\n\n current.push(supplement);\n supplementsByAccountCurrency.set(key, current);\n}\n\nfunction chooseConditionalSupplements(payroll, bank) {\n const baseAmount = roundMoney(payroll.payroll_amount);\n const bankAmount = roundMoney(bank.amount);\n const candidates =\n supplementsByAccountCurrency.get(\n `${payroll.account}:${payroll.currency}`\n ) || [];\n\n if (\n !candidates.length ||\n bankAmount <= baseAmount + 0.02\n ) {\n return {\n selected: [],\n effectiveAmount: baseAmount,\n baseAmount,\n improvement: 0,\n };\n }\n\n const baseDifference = Math.abs(baseAmount - bankAmount);\n let bestSelected = [];\n let bestAmount = baseAmount;\n let bestDifference = baseDifference;\n\n if (candidates.length <= 12) {\n const combinations = 1 << candidates.length;\n\n for (let mask = 1; mask < combinations; mask++) {\n const selected = [];\n let selectedTotal = 0;\n\n for (let index = 0; index < candidates.length; index++) {\n if ((mask & (1 << index)) !== 0) {\n selected.push(candidates[index]);\n selectedTotal = roundMoney(\n selectedTotal + candidates[index].payroll_amount\n );\n }\n }\n\n const candidateAmount = roundMoney(baseAmount + selectedTotal);\n const candidateDifference = Math.abs(\n candidateAmount - bankAmount\n );\n\n if (candidateDifference < bestDifference) {\n bestSelected = selected;\n bestAmount = candidateAmount;\n bestDifference = candidateDifference;\n }\n }\n } else {\n const sorted = [...candidates].sort(\n (a, b) => b.payroll_amount - a.payroll_amount\n );\n\n let runningAmount = baseAmount;\n const selected = [];\n\n for (const candidate of sorted) {\n const nextAmount = roundMoney(\n runningAmount + candidate.payroll_amount\n );\n\n if (\n Math.abs(nextAmount - bankAmount) <\n Math.abs(runningAmount - bankAmount)\n ) {\n selected.push(candidate);\n runningAmount = nextAmount;\n }\n }\n\n bestSelected = selected;\n bestAmount = runningAmount;\n bestDifference = Math.abs(bestAmount - bankAmount);\n }\n\n const improvement = roundMoney(\n baseDifference - bestDifference\n );\n\n // Evita sumar valores accidentales o inmateriales, como un \"Asignado\" de Q1.\n if (!bestSelected.length || improvement < 5) {\n return {\n selected: [],\n effectiveAmount: baseAmount,\n baseAmount,\n improvement: 0,\n };\n }\n\n return {\n selected: bestSelected,\n effectiveAmount: roundMoney(bestAmount),\n baseAmount,\n improvement,\n };\n}\n\nfunction getDirectCandidates(payroll, matchedBankKeys) {\n return bankAccounts\n .filter((bank) => {\n if (matchedBankKeys.has(bank.group_key)) return false;\n if (bank.currency !== payroll.currency) return false;\n\n const relationship = accountRelationship(\n payroll.account,\n bank.account\n );\n\n if (!relationship.matches) return false;\n\n // Un sufijo de referencia solamente es válido cuando el nombre también\n // corresponde a la misma persona.\n if (\n relationship.type === 'reference_prefix' &&\n !bankMatchesName(bank, payroll.employee_name)\n ) {\n return false;\n }\n\n return true;\n })\n .map((bank) => {\n const relationship = accountRelationship(\n payroll.account,\n bank.account\n );\n const supplementDecision =\n chooseConditionalSupplements(payroll, bank);\n\n return {\n bank,\n relationship,\n supplementDecision,\n nameMatches: bankMatchesName(bank, payroll.employee_name),\n };\n })\n .sort((a, b) => {\n const exactDifference =\n Number(b.relationship.type === 'exact') -\n Number(a.relationship.type === 'exact');\n\n if (exactDifference !== 0) return exactDifference;\n\n const nameDifference =\n Number(b.nameMatches) - Number(a.nameMatches);\n\n if (nameDifference !== 0) return nameDifference;\n\n return (\n Math.abs(\n a.supplementDecision.effectiveAmount - a.bank.amount\n ) -\n Math.abs(\n b.supplementDecision.effectiveAmount - b.bank.amount\n )\n );\n });\n}\n\nfunction buildSources(payroll, selectedSupplements) {\n const supplementRows = selectedSupplements.map((row) => ({\n source_sheet: row.source_sheet,\n row_number: row.row_number,\n amount: row.payroll_amount,\n supplement_original_name:\n row.supplement_original_name || row.employee_name || '',\n supplement_id: row.supplement_id || '',\n applied_conditionally: true,\n }));\n\n const sourceRows = [\n ...(payroll.source_rows || []),\n ...supplementRows,\n ];\n\n const sourceSheets = Array.from(new Set([\n ...(payroll.source_sheets || []),\n ...selectedSupplements\n .map((row) => row.source_sheet)\n .filter(Boolean),\n ]));\n\n return { sourceRows, sourceSheets };\n}\n\nconst matchedPayrollKeys = new Set();\nconst matchedBankKeys = new Set();\nconst matchedNoAccountIndexes = new Set();\nconst appliedSupplementKeys = new Set();\nconst appliedSupplements = [];\nconst finalExactReconciliations = [];\nconst rows = [];\n\nfunction registerSupplements(selected) {\n for (const supplement of selected || []) {\n const key = supplementKey(supplement);\n\n if (!appliedSupplementKeys.has(key)) {\n appliedSupplementKeys.add(key);\n appliedSupplements.push(supplement);\n }\n }\n}\n\n// 1) Cuenta exacta o referencia con prefijo, y monto conciliado.\nfor (const payroll of payrollAccounts) {\n const candidates = getDirectCandidates(\n payroll,\n matchedBankKeys\n ).filter((candidate) => {\n return moneyEquals(\n candidate.supplementDecision.effectiveAmount,\n candidate.bank.amount\n );\n });\n\n if (candidates.length !== 1) continue;\n\n const candidate = candidates[0];\n const bank = candidate.bank;\n const decision = candidate.supplementDecision;\n const sources = buildSources(payroll, decision.selected);\n\n matchedPayrollKeys.add(payroll.group_key);\n matchedBankKeys.add(bank.group_key);\n registerSupplements(decision.selected);\n\n rows.push({\n id: `match_${payroll.group_key}_${bank.group_key}`,\n employee: payroll.employee_name,\n employee_name: payroll.employee_name,\n employeeNumber: payroll.employee_number,\n employee_number: payroll.employee_number,\n account: payroll.account,\n payrollAccount: payroll.account,\n payroll_account: payroll.account,\n bankAccount: bank.account,\n bank_account: bank.account,\n currency: payroll.currency,\n payrollAmount: decision.effectiveAmount,\n payroll_amount: decision.effectiveAmount,\n payrollBaseAmount: decision.baseAmount,\n payroll_base_amount: decision.baseAmount,\n bankAmount: bank.amount,\n bank_amount: bank.amount,\n difference: 0,\n status: 'Coincidencia',\n category: 'coincidencia',\n subcategory:\n candidate.relationship.type === 'reference_prefix'\n ? 'referencia_bancaria_con_prefijo'\n : decision.selected.length\n ? 'cuenta_monto_y_suplemento_condicional'\n : 'cuenta_y_monto_coinciden',\n observation:\n candidate.relationship.type === 'reference_prefix'\n ? 'Conciliado por nombre, monto y referencia bancaria con prefijo.'\n : decision.selected.length\n ? 'Conciliado correctamente. Se aplicó un suplemento porque el banco mostró un pago adicional.'\n : 'Conciliado correctamente.',\n applied_supplements: decision.selected,\n source_sheets: sources.sourceSheets,\n source_rows: sources.sourceRows,\n bank_source_rows: bank.source_rows,\n });\n}\n\n// 2) Cuenta diferente, pero nombre y monto coinciden.\n// Se ejecuta antes de crear diferencias directas para resolver casos como\n// Ashly/Ashley Ramos: la cuenta de la nómina apunta a otra transacción,\n// pero existe otra cuenta bancaria con el mismo nombre y monto correcto.\nfor (const payroll of payrollAccounts) {\n if (matchedPayrollKeys.has(payroll.group_key)) continue;\n\n const candidates = bankAccounts\n .filter((bank) => {\n if (matchedBankKeys.has(bank.group_key)) return false;\n if (bank.currency !== payroll.currency) return false;\n if (!bankMatchesName(bank, payroll.employee_name)) return false;\n\n const decision = chooseConditionalSupplements(\n payroll,\n bank\n );\n\n return moneyEquals(\n decision.effectiveAmount,\n bank.amount\n );\n })\n .map((bank) => ({\n bank,\n supplementDecision: chooseConditionalSupplements(\n payroll,\n bank\n ),\n }));\n\n if (candidates.length !== 1) continue;\n\n const candidate = candidates[0];\n const bank = candidate.bank;\n const decision = candidate.supplementDecision;\n const relationship = accountRelationship(\n payroll.account,\n bank.account\n );\n\n // Las referencias con prefijo ya debieron resolverse en el paso 1.\n if (relationship.type === 'reference_prefix') continue;\n\n const sources = buildSources(payroll, decision.selected);\n\n matchedPayrollKeys.add(payroll.group_key);\n matchedBankKeys.add(bank.group_key);\n registerSupplements(decision.selected);\n\n rows.push({\n id: `possible_wrong_account_${payroll.group_key}_${bank.group_key}`,\n employee: payroll.employee_name || bestBankDisplayName(bank),\n employee_name:\n payroll.employee_name || bestBankDisplayName(bank),\n employeeNumber: payroll.employee_number,\n employee_number: payroll.employee_number,\n account: payroll.account,\n payrollAccount: payroll.account,\n payroll_account: payroll.account,\n bankAccount: bank.account,\n bank_account: bank.account,\n currency: payroll.currency,\n payrollAmount: decision.effectiveAmount,\n payroll_amount: decision.effectiveAmount,\n payrollBaseAmount: decision.baseAmount,\n payroll_base_amount: decision.baseAmount,\n bankAmount: bank.amount,\n bank_amount: bank.amount,\n difference: 0,\n status: 'Riesgo',\n category: 'posible_cuenta_mal_digitada',\n subcategory:\n 'nombre_y_monto_coinciden_cuenta_diferente',\n observation:\n `El nombre y el monto coinciden, pero la cuenta de nómina ` +\n `(${payroll.account || 'sin cuenta'}) es diferente a la cuenta ` +\n `del banco (${bank.account || 'sin cuenta válida'}).`,\n applied_supplements: decision.selected,\n source_sheets: sources.sourceSheets,\n source_rows: sources.sourceRows,\n bank_source_rows: bank.source_rows,\n });\n}\n\n// 3) Nómina sin cuenta válida: conciliar por nombre y monto.\nfor (\n let index = 0;\n index < payrollNoAccountRows.length;\n index++\n) {\n const payroll = payrollNoAccountRows[index];\n\n const candidates = bankAccounts.filter((bank) => {\n if (matchedBankKeys.has(bank.group_key)) return false;\n if (bank.currency !== payroll.currency) return false;\n if (!moneyEquals(bank.amount, payroll.payroll_amount)) {\n return false;\n }\n\n return bankMatchesName(bank, payroll.employee_name);\n });\n\n if (candidates.length !== 1) continue;\n\n const bank = candidates[0];\n\n matchedNoAccountIndexes.add(index);\n matchedBankKeys.add(bank.group_key);\n\n rows.push({\n id: `match_no_account_${index}_${bank.group_key}`,\n employee:\n payroll.employee_name || bestBankDisplayName(bank),\n employee_name:\n payroll.employee_name || bestBankDisplayName(bank),\n employeeNumber: payroll.employee_number,\n employee_number: payroll.employee_number,\n account: bank.account,\n payrollAccount: '',\n payroll_account: '',\n bankAccount: bank.account,\n bank_account: bank.account,\n currency: payroll.currency,\n payrollAmount: payroll.payroll_amount,\n payroll_amount: payroll.payroll_amount,\n bankAmount: bank.amount,\n bank_amount: bank.amount,\n difference: 0,\n status: 'Coincidencia',\n category: 'coincidencia',\n subcategory:\n 'conciliado_por_nombre_y_monto_sin_cuenta_nomina',\n observation:\n 'Conciliado por nombre y monto. La nómina no tenía una cuenta bancaria válida.',\n source_sheet: payroll.source_sheet,\n row_number: payroll.row_number,\n bank_source_rows: bank.source_rows,\n });\n}\n\n// 4) Diferencias reales en una cuenta exacta o equivalente.\nfor (const payroll of payrollAccounts) {\n if (matchedPayrollKeys.has(payroll.group_key)) continue;\n\n const candidates = getDirectCandidates(\n payroll,\n matchedBankKeys\n );\n\n if (!candidates.length) continue;\n\n const candidate = candidates[0];\n const bank = candidate.bank;\n const decision = candidate.supplementDecision;\n const sources = buildSources(payroll, decision.selected);\n const difference = moneyDiff(\n decision.effectiveAmount,\n bank.amount\n );\n\n matchedPayrollKeys.add(payroll.group_key);\n matchedBankKeys.add(bank.group_key);\n registerSupplements(decision.selected);\n\n rows.push({\n id: `difference_${payroll.group_key}_${bank.group_key}`,\n employee: payroll.employee_name,\n employee_name: payroll.employee_name,\n employeeNumber: payroll.employee_number,\n employee_number: payroll.employee_number,\n account: payroll.account,\n payrollAccount: payroll.account,\n payroll_account: payroll.account,\n bankAccount: bank.account,\n bank_account: bank.account,\n currency: payroll.currency,\n payrollAmount: decision.effectiveAmount,\n payroll_amount: decision.effectiveAmount,\n payrollBaseAmount: decision.baseAmount,\n payroll_base_amount: decision.baseAmount,\n bankAmount: bank.amount,\n bank_amount: bank.amount,\n difference,\n status: 'Riesgo',\n category: 'discrepancia',\n subcategory: 'diferencia_monto',\n observation:\n `Diferencia de ${payroll.currency} ` +\n `${formatMoney(difference)}.`,\n applied_supplements: decision.selected,\n source_sheets: sources.sourceSheets,\n source_rows: sources.sourceRows,\n bank_source_rows: bank.source_rows,\n });\n}\n\n\n// 4.5) Reconciliación final exacta de pares residuales.\n//\n// Este paso corrige casos en los que nómina y banco contienen:\n// - la misma cuenta normalizada;\n// - el mismo empleado;\n// - el mismo monto;\n// pero no fueron enlazados en los pasos anteriores por diferencias técnicas\n// de agrupación, moneda inferida o metadatos del CSV.\n//\n// Es deliberadamente conservador: exige una única contraparte bancaria.\nfor (const payroll of payrollAccounts) {\n if (matchedPayrollKeys.has(payroll.group_key)) continue;\n\n const candidates = bankAccounts\n .filter((bank) => {\n if (matchedBankKeys.has(bank.group_key)) return false;\n\n const payrollAccount = normalizeAccount(payroll.account);\n const bankAccount = normalizeAccount(bank.account);\n\n if (!payrollAccount || payrollAccount !== bankAccount) {\n return false;\n }\n\n if (!bankMatchesName(bank, payroll.employee_name)) {\n return false;\n }\n\n const decision = chooseConditionalSupplements(payroll, bank);\n\n return moneyEquals(\n decision.effectiveAmount,\n bank.amount\n );\n })\n .map((bank) => ({\n bank,\n supplementDecision: chooseConditionalSupplements(\n payroll,\n bank\n ),\n }));\n\n if (candidates.length !== 1) continue;\n\n const candidate = candidates[0];\n const bank = candidate.bank;\n const decision = candidate.supplementDecision;\n const sources = buildSources(\n payroll,\n decision.selected\n );\n\n matchedPayrollKeys.add(payroll.group_key);\n matchedBankKeys.add(bank.group_key);\n registerSupplements(decision.selected);\n\n finalExactReconciliations.push({\n employee_name: payroll.employee_name,\n employee_number: payroll.employee_number,\n account: payroll.account,\n payroll_currency: payroll.currency,\n bank_currency: bank.currency,\n payroll_amount: decision.effectiveAmount,\n bank_amount: bank.amount,\n payroll_group_key: payroll.group_key,\n bank_group_key: bank.group_key,\n });\n\n rows.push({\n id: `final_exact_match_${payroll.group_key}_${bank.group_key}`,\n employee: payroll.employee_name,\n employee_name: payroll.employee_name,\n employeeNumber: payroll.employee_number,\n employee_number: payroll.employee_number,\n account: payroll.account,\n payrollAccount: payroll.account,\n payroll_account: payroll.account,\n bankAccount: bank.account,\n bank_account: bank.account,\n currency: bank.currency || payroll.currency,\n payrollAmount: decision.effectiveAmount,\n payroll_amount: decision.effectiveAmount,\n payrollBaseAmount: decision.baseAmount,\n payroll_base_amount: decision.baseAmount,\n bankAmount: bank.amount,\n bank_amount: bank.amount,\n difference: 0,\n status: 'Coincidencia',\n category: 'coincidencia',\n subcategory: 'reconciliacion_final_cuenta_nombre_monto',\n observation:\n 'Conciliado por cuenta, nombre y monto en la validación final.',\n applied_supplements: decision.selected,\n source_sheets: sources.sourceSheets,\n source_rows: sources.sourceRows,\n bank_source_rows: bank.source_rows,\n });\n}\n\n// 5) Nómina con cuenta sin pago bancario.\nfor (const payroll of payrollAccounts) {\n if (matchedPayrollKeys.has(payroll.group_key)) continue;\n\n rows.push({\n id: `payroll_without_bank_${payroll.group_key}`,\n employee: payroll.employee_name,\n employee_name: payroll.employee_name,\n employeeNumber: payroll.employee_number,\n employee_number: payroll.employee_number,\n account: payroll.account,\n payrollAccount: payroll.account,\n payroll_account: payroll.account,\n bankAccount: '',\n bank_account: '',\n currency: payroll.currency,\n payrollAmount: payroll.payroll_amount,\n payroll_amount: payroll.payroll_amount,\n payrollBaseAmount: payroll.payroll_amount,\n payroll_base_amount: payroll.payroll_amount,\n bankAmount: 0,\n bank_amount: 0,\n difference: payroll.payroll_amount,\n status: 'Riesgo',\n category: 'discrepancia',\n subcategory: 'nomina_con_cuenta_sin_pago_banco',\n observation:\n 'Está en nómina, pero no aparece pagado en el banco.',\n applied_supplements: [],\n source_sheets: payroll.source_sheets,\n source_rows: payroll.source_rows,\n });\n}\n\n// 6) Banco sin nómina.\nfor (const bank of bankAccounts) {\n if (matchedBankKeys.has(bank.group_key)) continue;\n\n rows.push({\n id: `bank_without_payroll_${bank.group_key}`,\n employee:\n bestBankDisplayName(bank) || 'Pago bancario sin nómina',\n employee_name:\n bestBankDisplayName(bank) || 'Pago bancario sin nómina',\n employeeNumber: '',\n employee_number: '',\n account: bank.account,\n payrollAccount: '',\n payroll_account: '',\n bankAccount: bank.account,\n bank_account: bank.account,\n currency: bank.currency,\n payrollAmount: 0,\n payroll_amount: 0,\n bankAmount: bank.amount,\n bank_amount: bank.amount,\n difference: roundMoney(0 - bank.amount),\n status: 'Pendiente revisión',\n category: 'banco_sin_nomina',\n subcategory: 'pago_banco_sin_fila_nomina',\n observation:\n 'Recibió un pago en el banco, pero no aparece en la nómina cargada.',\n bank_source_rows: bank.source_rows,\n });\n}\n\n// 7) Nómina sin cuenta que no pudo conciliarse.\nfor (\n let index = 0;\n index < payrollNoAccountRows.length;\n index++\n) {\n if (matchedNoAccountIndexes.has(index)) continue;\n\n const payroll = payrollNoAccountRows[index];\n\n rows.push({\n id:\n `payroll_without_account_` +\n `${payroll.source_sheet}_${payroll.row_number}`,\n employee: payroll.employee_name,\n employee_name: payroll.employee_name,\n employeeNumber: payroll.employee_number,\n employee_number: payroll.employee_number,\n account: '',\n payrollAccount: '',\n payroll_account: '',\n bankAccount: '',\n bank_account: '',\n currency: payroll.currency,\n payrollAmount: payroll.payroll_amount,\n payroll_amount: payroll.payroll_amount,\n bankAmount: 0,\n bank_amount: 0,\n difference: payroll.payroll_amount,\n status: 'Pendiente revisión',\n category: 'nomina_sin_cuenta',\n subcategory: 'nomina_sin_cuenta_bancaria',\n observation:\n 'Tiene monto en nómina, pero no tiene una cuenta bancaria válida para cruzar contra el banco.',\n source_sheet: payroll.source_sheet,\n row_number: payroll.row_number,\n });\n}\n\n// 8) Consolidar el mismo empleado cuando aparece con dos cuentas de nómina.\nconst originalRows = [...rows];\nconst usedRowIds = new Set();\nconst consolidatedRows = [];\n\nfor (const differenceRow of originalRows) {\n if (\n differenceRow.category !== 'discrepancia' ||\n differenceRow.subcategory !== 'diferencia_monto' ||\n usedRowIds.has(differenceRow.id)\n ) {\n continue;\n }\n\n const extraPayrollRow = originalRows.find((candidate) => {\n if (\n candidate.id === differenceRow.id ||\n usedRowIds.has(candidate.id) ||\n candidate.subcategory !==\n 'nomina_con_cuenta_sin_pago_banco' ||\n candidate.currency !== differenceRow.currency\n ) {\n return false;\n }\n\n const samePerson = samePersonName(\n differenceRow.employee_name || differenceRow.employee,\n candidate.employee_name || candidate.employee\n );\n\n const similarAccounts =\n accountDistance(\n differenceRow.account,\n candidate.account\n ) <= 2;\n\n const combinedPayroll = roundMoney(\n differenceRow.payroll_amount +\n candidate.payroll_amount\n );\n\n const totalMatches = moneyEquals(\n combinedPayroll,\n differenceRow.bank_amount\n );\n\n return samePerson && similarAccounts && totalMatches;\n });\n\n if (!extraPayrollRow) continue;\n\n usedRowIds.add(differenceRow.id);\n usedRowIds.add(extraPayrollRow.id);\n\n const totalPayroll = roundMoney(\n differenceRow.payroll_amount +\n extraPayrollRow.payroll_amount\n );\n\n const accounts = Array.from(new Set([\n differenceRow.account,\n extraPayrollRow.account,\n ].filter(Boolean)));\n\n consolidatedRows.push({\n id:\n `split_account_` +\n `${differenceRow.account}_${extraPayrollRow.account}`,\n employee: differenceRow.employee_name,\n employee_name: differenceRow.employee_name,\n employeeNumber:\n differenceRow.employee_number ||\n extraPayrollRow.employee_number ||\n '',\n employee_number:\n differenceRow.employee_number ||\n extraPayrollRow.employee_number ||\n '',\n account:\n differenceRow.bank_account ||\n differenceRow.account,\n payrollAccount: accounts.join(' / '),\n payroll_account: accounts.join(' / '),\n bankAccount: differenceRow.bank_account,\n bank_account: differenceRow.bank_account,\n currency: differenceRow.currency,\n payrollAmount: totalPayroll,\n payroll_amount: totalPayroll,\n bankAmount: differenceRow.bank_amount,\n bank_amount: differenceRow.bank_amount,\n difference: moneyDiff(\n totalPayroll,\n differenceRow.bank_amount\n ),\n status: 'Riesgo',\n category: 'posible_cuenta_mal_digitada',\n subcategory:\n 'mismo_empleado_con_cuentas_distintas_en_nomina',\n observation:\n `El total de nómina coincide con el banco, pero el empleado ` +\n `aparece con cuentas distintas en la nómina: ` +\n `${accounts.join(' y ')}. La cuenta utilizada por el banco ` +\n `fue ${differenceRow.bank_account}.`,\n applied_supplements:\n differenceRow.applied_supplements || [],\n source_sheets: Array.from(new Set([\n ...(differenceRow.source_sheets || []),\n ...(extraPayrollRow.source_sheets || []),\n ])),\n source_rows: [\n ...(differenceRow.source_rows || []),\n ...(extraPayrollRow.source_rows || []),\n ],\n bank_source_rows:\n differenceRow.bank_source_rows || [],\n });\n}\n\nconst coreRows = [\n ...originalRows.filter(\n (row) => !usedRowIds.has(row.id)\n ),\n ...consolidatedRows,\n];\n\nconst coreCoincidencias = coreRows.filter(\n (row) => row.category === 'coincidencia'\n).length;\n\nconst coreDiscrepancias = coreRows.filter((row) => {\n return (\n row.category === 'discrepancia' ||\n row.category === 'posible_cuenta_mal_digitada'\n );\n}).length;\n\nconst coreBancoSinNomina = coreRows.filter(\n (row) => row.category === 'banco_sin_nomina'\n).length;\n\nconst coreNominaSinCuenta = coreRows.filter(\n (row) => row.category === 'nomina_sin_cuenta'\n).length;\n\nconst corePosiblesCuentas = coreRows.filter(\n (row) => row.category === 'posible_cuenta_mal_digitada'\n).length;\n\nconst linkedPayrollNamesByBankRow = new Map();\nconst linkedPayrollNumbersByBankRow = new Map();\n\nfor (const reconciliationRow of coreRows) {\n const linkedName =\n reconciliationRow.employee_name ||\n reconciliationRow.employee ||\n '';\n const linkedEmployeeNumber = normalizeAccount(\n reconciliationRow.employee_number ||\n reconciliationRow.employeeNumber ||\n ''\n );\n\n for (\n const bankSourceRow of\n reconciliationRow.bank_source_rows || []\n ) {\n const rowKey = bankRowKey(bankSourceRow);\n\n const names =\n linkedPayrollNamesByBankRow.get(rowKey) || [];\n const numbers =\n linkedPayrollNumbersByBankRow.get(rowKey) || [];\n\n if (linkedName) names.push(linkedName);\n if (linkedEmployeeNumber.length >= 6) {\n numbers.push(linkedEmployeeNumber);\n }\n\n linkedPayrollNamesByBankRow.set(\n rowKey,\n Array.from(new Set(names))\n );\n linkedPayrollNumbersByBankRow.set(\n rowKey,\n Array.from(new Set(numbers))\n );\n }\n}\n\nconst bambooMatchDetails = [];\nconst bambooExcludedPayments = [];\nconst bankWithoutBambooMap = new Map();\n\nif (bambooValidationAvailable) {\nfor (const bankRow of bankDetailRows) {\n if (isClearlyNonEmployeePayment(bankRow)) {\n bambooExcludedPayments.push({\n source_file: bankRow.source_file,\n row_number: bankRow.row_number,\n reason: 'pago_no_empleado_identificado',\n bank_name_file: bankRow.bank_name_file,\n bank_account_holder:\n bankRow.bank_account_holder,\n amount: bankRow.amount,\n currency: bankRow.currency,\n });\n continue;\n }\n\n const validatedAliasMatch =\n findValidatedAliasMatch(bankRow);\n\n const match =\n validatedAliasMatch ||\n findBambooMatch(bankRow);\n\n if (match.found) {\n bambooMatchDetails.push({\n source_file: bankRow.source_file,\n row_number: bankRow.row_number,\n account: bankRow.account,\n amount: bankRow.amount,\n currency: bankRow.currency,\n bank_name_file: bankRow.bank_name_file,\n bank_account_holder:\n bankRow.bank_account_holder,\n matched_by: match.matched_by,\n confidence: roundMoney(match.confidence),\n validated_alias_id:\n match.validated_alias_id || '',\n validated_alias_resolution:\n match.validated_alias_resolution || '',\n bamboo_employee_number:\n match.employee?.employee_number || '',\n bamboo_employee_name:\n match.employee?.full_name || '',\n bamboo_status:\n match.employee?.status || '',\n bamboo_overlaps_period:\n Boolean(match.employee?.overlaps_period),\n });\n continue;\n }\n\n const displayName =\n bankRow.bank_name_file ||\n bankRow.bank_account_holder ||\n 'Pago bancario sin empleado identificado';\n\n const groupingKey = [\n normalizeAccount(bankRow.account),\n normalizeName(displayName),\n bankRow.currency || 'QTZ',\n ].join('|');\n\n const current =\n bankWithoutBambooMap.get(groupingKey) || {\n id: `bank_without_bamboo_${groupingKey}`,\n employee: displayName,\n employee_name: displayName,\n bank_name_file:\n bankRow.bank_name_file || '',\n bank_account_holder:\n bankRow.bank_account_holder || '',\n account: normalizeAccount(bankRow.account),\n bankAccount: normalizeAccount(bankRow.account),\n bank_account: normalizeAccount(bankRow.account),\n currency: bankRow.currency || 'QTZ',\n bankAmount: 0,\n bank_amount: 0,\n shipment_numbers: new Set(),\n references: new Set(),\n source_files: new Set(),\n source_rows: [],\n status: 'Pendiente revisión',\n category: 'banco_sin_bamboo',\n subcategory:\n 'pago_bancario_sin_empleado_bamboohr_gt',\n observation:\n 'Se encontró un pago en el banco, pero no se encontró una coincidencia confiable con un empleado de Guatemala en BambooHR.',\n best_bamboo_candidate:\n match.best_candidate\n ? {\n employee_number:\n match.best_candidate.employee\n ?.employee_number || '',\n employee_name:\n match.best_candidate.employee\n ?.full_name || '',\n score: roundMoney(\n match.best_candidate.score\n ),\n }\n : null,\n ambiguous_bamboo_match:\n Boolean(match.ambiguous),\n };\n\n current.bankAmount = roundMoney(\n current.bankAmount +\n Number(bankRow.amount || 0)\n );\n current.bank_amount = current.bankAmount;\n\n if (bankRow.shipment_number) {\n current.shipment_numbers.add(\n bankRow.shipment_number\n );\n }\n\n if (bankRow.reference) {\n current.references.add(bankRow.reference);\n }\n\n if (bankRow.source_file) {\n current.source_files.add(\n bankRow.source_file\n );\n }\n\n current.source_rows.push(bankRow);\n bankWithoutBambooMap.set(\n groupingKey,\n current\n );\n}\n}\n\nconst bankWithoutBamboo = Array.from(\n bankWithoutBambooMap.values()\n).map((row) => ({\n ...row,\n shipment_numbers: Array.from(\n row.shipment_numbers\n ),\n references: Array.from(row.references),\n source_files: Array.from(row.source_files),\n difference: roundMoney(\n 0 - row.bank_amount\n ),\n}));\n\nconst nameDifferenceRows = (\n data.bank?.name_differences || []\n).map((row) => ({\n id: row.id,\n employee: row.bank_name_file,\n employee_name: row.bank_name_file,\n employeeNumber: '',\n employee_number: '',\n account: row.account,\n payrollAccount: '',\n payroll_account: '',\n bankAccount: row.account,\n bank_account: row.account,\n currency: row.currency || 'QTZ',\n payrollAmount: 0,\n payroll_amount: 0,\n bankAmount: row.amount,\n bank_amount: row.amount,\n difference: 0,\n status: 'Pendiente revisión',\n category: 'diferencia_nombre_banco',\n subcategory: 'nombre_archivo_vs_cuentahabiente',\n observation: row.observation,\n bank_name_file: row.bank_name_file,\n bank_account_holder: row.bank_account_holder,\n source_file: row.source_file,\n shipment_number: row.shipment_number,\n plan_number: row.plan_number,\n reference: row.reference,\n row_number: row.row_number,\n}));\n\nfunction priority(row) {\n const category = String(\n row.category || ''\n ).toLowerCase();\n\n if (category === 'posible_cuenta_mal_digitada') return 1;\n if (category === 'discrepancia') return 2;\n if (category === 'banco_sin_nomina') return 3;\n if (category === 'nomina_sin_cuenta') return 4;\n if (category === 'diferencia_nombre_banco') return 5;\n if (category === 'coincidencia') return 99;\n\n return 50;\n}\n\nconst rowsFinales = [\n ...coreRows,\n ...nameDifferenceRows,\n].sort((a, b) => {\n const priorityDifference =\n priority(a) - priority(b);\n\n if (priorityDifference !== 0) {\n return priorityDifference;\n }\n\n return String(\n a.employee_name || ''\n ).localeCompare(\n String(b.employee_name || ''),\n 'es'\n );\n});\n\nconst appliedSupplementsTotal = roundMoney(\n appliedSupplements.reduce(\n (sum, row) => sum + row.payroll_amount,\n 0\n )\n);\n\nconst totalNominaBase = roundMoney(\n data.payroll?.total_amount || 0\n);\n\nconst totalNomina = roundMoney(\n totalNominaBase + appliedSupplementsTotal\n);\n\nconst totalBanco = roundMoney(\n data.bank?.total_amount || 0\n);\n\nconst diferenciasNombreBanco =\n nameDifferenceRows.length;\n\nconst pendientes =\n coreDiscrepancias +\n coreBancoSinNomina +\n coreNominaSinCuenta +\n diferenciasNombreBanco;\n\nconst unusedPotentialSupplements =\n potentialSupplements.filter((row) => {\n return !appliedSupplementKeys.has(\n supplementKey(row)\n );\n });\n\nconst bambooSummaryCompact = {\n ...(data.bamboo || {}),\n};\n\n/*\n * El arreglo completo de empleados solo se necesita dentro de este nodo.\n * No se reenvía a Google Sheets, Supabase ni al webhook para evitar cargar\n * cerca de 1 MB innecesario en todos los nodos posteriores.\n */\ndelete bambooSummaryCompact.employees;\n\nreturn [\n {\n json: {\n ok: true,\n stage: 'cruce_nomina_completa_banco_condicional',\n errors: [],\n metadata: data.metadata || {},\n summary: {\n coincidencias: coreCoincidencias,\n discrepancias: coreDiscrepancias,\n bancoSinNomina: coreBancoSinNomina,\n bancoSinBamboo: bankWithoutBamboo.length,\n nominaSinCuenta: coreNominaSinCuenta,\n diferenciasNombreBanco,\n posiblesCuentasMalDigitadas:\n corePosiblesCuentas,\n pendientes,\n filasNominaValidas:\n data.payroll?.valid_rows_count || 0,\n filasNominaSinCuenta:\n data.payroll?.no_account_rows_count || 0,\n suplementosPotenciales:\n potentialSupplements.length,\n suplementosNominaAplicados:\n appliedSupplements.length,\n suplementosNominaNoAplicados:\n unusedPotentialSupplements.length,\n suplementosNominaAdjuntados:\n appliedSupplements.length,\n suplementosNominaNoAdjuntados:\n data.payroll?.unattached_supplements_count || 0,\n reconciliacionesExactasFinales:\n finalExactReconciliations.length,\n cuentasNominaAgrupadas:\n payrollAccounts.length,\n transaccionesBanco:\n data.bank?.rows_count || 0,\n cuentasBancoAgrupadas:\n bankAccounts.length,\n empleadosBambooGT:\n bambooEmployees.length,\n empleadosBambooEnPeriodo:\n Number(\n data.bamboo?.active_in_period_count || 0\n ),\n bambooPaginasDescargadas:\n Number(\n data.bamboo?.pages_fetched || 0\n ),\n bambooEmpleadosEsperados:\n Number(\n data.bamboo?.expected_total || 0\n ),\n bambooDescargaCompleta:\n Boolean(\n data.bamboo?.fetch_complete\n ),\n bambooValidacionDisponible:\n bambooValidationAvailable,\n totalNominaBase,\n totalSuplementosAplicados:\n appliedSupplementsTotal,\n totalNomina,\n totalBanco,\n diferenciaTotal:\n moneyDiff(totalNomina, totalBanco),\n },\n rows: rowsFinales,\n bankWithoutBamboo,\n nameDifferences: nameDifferenceRows,\n bambooSummary: bambooSummaryCompact,\n reportUrl: null,\n debug: {\n sheet_summaries:\n data.payroll?.sheet_summaries || [],\n potential_supplements:\n potentialSupplements,\n applied_supplements:\n appliedSupplements,\n final_exact_reconciliations:\n finalExactReconciliations,\n bamboo_search:\n {\n employees_indexed:\n bambooSearch.records.length,\n exact_aliases:\n bambooSearch.exactAliasMap.size,\n indexed_tokens:\n bambooSearch.tokenIndex.size,\n cache_entries:\n bambooMatchCache.size,\n },\n validated_bamboo_aliases_loaded:\n validatedBambooAliases.length,\n validated_bamboo_alias_matches:\n bambooMatchDetails.filter(\n (match) => match.matched_by === 'validated_bamboo_alias'\n ).length,\n bamboo_matches:\n bambooMatchDetails,\n bamboo_excluded_payments:\n bambooExcludedPayments,\n bamboo_validation_available:\n bambooValidationAvailable,\n bamboo_validation_warning:\n bambooValidationWarning,\n banco_sin_bamboo:\n bankWithoutBamboo,\n unused_potential_supplements:\n unusedPotentialSupplements,\n unattached_supplements:\n data.debug_payroll?.unattached_supplements || [],\n payroll_preview:\n payrollAccounts.slice(0, 10),\n bank_preview:\n bankAccounts.slice(0, 10),\n payroll_no_account_preview:\n payrollNoAccountRows.slice(0, 10),\n },\n },\n },\n];" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ - 21696, - 26512 + 45200, + 55248 ], - "id": "a9aeea33-6818-40c1-9eb9-b6a3521a4f66", + "id": "771cf196-8f95-452f-be1c-4d0271ee91d5", "name": "Cruzar Nómina vs Banco" }, { @@ -1439,10 +1756,10 @@ "type": "n8n-nodes-base.extractFromFile", "typeVersion": 1.1, "position": [ - 15648, - 25344 + 38720, + 54240 ], - "id": "3e169c34-36e6-40d2-9751-4d3efdcf8c08", + "id": "d34bdf63-1526-41b4-8204-7617a9db9075", "name": "Extract - Nomina General", "retryOnFail": false }, @@ -1458,10 +1775,10 @@ "type": "n8n-nodes-base.extractFromFile", "typeVersion": 1.1, "position": [ - 15648, - 25584 + 38720, + 54480 ], - "id": "c30318b3-98e8-44bf-8c0b-315f8a54f1e8", + "id": "cf1d32a2-734b-4026-8699-4cedc52bd9ca", "name": "Extract - Temporales", "retryOnFail": false, "onError": "continueRegularOutput" @@ -1478,10 +1795,10 @@ "type": "n8n-nodes-base.extractFromFile", "typeVersion": 1.1, "position": [ - 15648, - 25824 + 38720, + 54720 ], - "id": "b7b0d02e-7e91-428e-aecd-3a8a08e77175", + "id": "608dcc67-5c91-4d6e-9408-7864ecd4a79f", "name": "Extract - Auditorias", "retryOnFail": false, "onError": "continueRegularOutput" @@ -1498,10 +1815,10 @@ "type": "n8n-nodes-base.extractFromFile", "typeVersion": 1.1, "position": [ - 15664, - 26016 + 38736, + 54912 ], - "id": "cdfb15a2-d9d0-4544-80e1-e798e42e796f", + "id": "11056e67-619b-432b-96eb-bf5b61f298aa", "name": "Extract - Bono Mariana", "retryOnFail": false, "onError": "continueRegularOutput" @@ -1518,10 +1835,10 @@ "type": "n8n-nodes-base.extractFromFile", "typeVersion": 1.1, "position": [ - 15664, - 26224 + 38736, + 55120 ], - "id": "12b2497a-642d-4f4a-b32c-d4faa535f565", + "id": "1152c02e-f792-4406-86c4-49ef8eb8518b", "name": "Extract - Movilidad WP", "retryOnFail": false, "onError": "continueRegularOutput" @@ -1538,10 +1855,10 @@ "type": "n8n-nodes-base.extractFromFile", "typeVersion": 1.1, "position": [ - 15664, - 26432 + 38736, + 55328 ], - "id": "d33f7284-0947-44ad-8a03-47a0b8bb4122", + "id": "1948c7f9-8f21-4621-bc9b-e368cf364f9f", "name": "Extract - Viaticos PMI", "retryOnFail": false, "onError": "continueRegularOutput" @@ -1558,10 +1875,10 @@ "type": "n8n-nodes-base.extractFromFile", "typeVersion": 1.1, "position": [ - 15680, - 26768 + 38752, + 55664 ], - "id": "5b82536d-1e30-4fdf-9812-b2f93e8a19c9", + "id": "5a18e43b-2c6e-47a9-a857-bd0b457e7086", "name": "Extract - Combustible Purina", "retryOnFail": false, "onError": "continueRegularOutput" @@ -1578,10 +1895,10 @@ "type": "n8n-nodes-base.extractFromFile", "typeVersion": 1.1, "position": [ - 15664, - 27104 + 38736, + 56000 ], - "id": "fc8edacd-6084-42b1-8aa1-cbd18e96bf1b", + "id": "24169057-6981-4d29-b197-6379375a7292", "name": "Extract - Combustible PG", "retryOnFail": false, "onError": "continueRegularOutput" @@ -1598,10 +1915,10 @@ "type": "n8n-nodes-base.extractFromFile", "typeVersion": 1.1, "position": [ - 15664, - 27392 + 38736, + 56288 ], - "id": "ee4ee831-169e-4d33-88be-4d0d704ec095", + "id": "a3c6dca4-1fb3-4139-af79-e8e10529d2df", "name": "Extract - Combustibles Liquidables", "retryOnFail": false, "onError": "continueRegularOutput" @@ -1613,10 +1930,10 @@ "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ - 19872, - 27120 + 42944, + 56016 ], - "id": "44044451-fb64-44a9-8cd0-109b64855806", + "id": "c461d80c-0d1b-45df-a03c-7e6b625c6e21", "name": "Normalizar Nómina Completa" }, { @@ -1624,10 +1941,10 @@ "type": "n8n-nodes-base.merge", "typeVersion": 3.2, "position": [ - 16672, - 25648 + 39744, + 54544 ], - "id": "5e8d1212-8780-40c0-ac54-eb65141bd71f", + "id": "a5e2c2d5-c672-497b-b30c-6b07f887df20", "name": "Merge Hojas 01-02" }, { @@ -1635,10 +1952,10 @@ "type": "n8n-nodes-base.merge", "typeVersion": 3.2, "position": [ - 16864, - 25856 + 39936, + 54752 ], - "id": "fabe0277-9275-4bb9-a4e4-606fc7e7a6ad", + "id": "52bafc33-b839-4aba-a68f-901ae2e374a3", "name": "Merge Hojas 03" }, { @@ -1646,10 +1963,10 @@ "type": "n8n-nodes-base.merge", "typeVersion": 3.2, "position": [ - 17152, - 25984 + 40224, + 54880 ], - "id": "9730a653-c2b3-49bf-890f-56f2a6ba2567", + "id": "66e53846-6cf7-48a2-8901-451a83349c36", "name": "Merge Hojas 04" }, { @@ -1657,10 +1974,10 @@ "type": "n8n-nodes-base.merge", "typeVersion": 3.2, "position": [ - 17568, - 26112 + 40640, + 55008 ], - "id": "e1672eb2-31e0-4040-9971-c3eb99972e3f", + "id": "98365544-d640-4ee3-8423-03640555c3a6", "name": "Merge Hojas 05" }, { @@ -1668,10 +1985,10 @@ "type": "n8n-nodes-base.merge", "typeVersion": 3.2, "position": [ - 17872, - 26256 + 40944, + 55152 ], - "id": "2906d58d-35b0-4112-a709-8b3097fd2537", + "id": "7b6a815c-1b41-419b-8a13-dc20d89c03e7", "name": "Merge Hojas 06" }, { @@ -1679,10 +1996,10 @@ "type": "n8n-nodes-base.merge", "typeVersion": 3.2, "position": [ - 18208, - 26528 + 41280, + 55424 ], - "id": "2b809028-6720-49c0-9a9c-f14cffa78c14", + "id": "eb39f34e-5ca2-434d-b78a-7e4a5332bf53", "name": "Merge Hojas 07" }, { @@ -1690,10 +2007,10 @@ "type": "n8n-nodes-base.merge", "typeVersion": 3.2, "position": [ - 18464, - 26656 + 41536, + 55552 ], - "id": "652101ad-34b6-4893-8e83-683ad7e78fd4", + "id": "c0ebebe3-462f-478d-8b5f-7f7e38c240fc", "name": "Merge Hojas 08" }, { @@ -1701,10 +2018,10 @@ "type": "n8n-nodes-base.merge", "typeVersion": 3.2, "position": [ - 18768, - 27040 + 41840, + 55936 ], - "id": "3af433bb-32fe-4c06-bea7-d00e9fea9c95", + "id": "76deacd7-c337-45c6-a6de-81e11dd67f8b", "name": "Merge Hojas 09" }, { @@ -1719,10 +2036,10 @@ "type": "n8n-nodes-base.extractFromFile", "typeVersion": 1.1, "position": [ - 15664, - 27648 + 38736, + 56544 ], - "id": "f8d6e3d6-7448-4a54-99e6-eec7f4fdec7b", + "id": "f39de2bc-a555-4bb9-b18d-1287cc5bd757", "name": "Extract - Mot Variable Abril", "retryOnFail": false, "onError": "continueRegularOutput" @@ -1732,43 +2049,43 @@ "type": "n8n-nodes-base.merge", "typeVersion": 3.2, "position": [ - 19072, - 27152 + 42144, + 56048 ], - "id": "4672d0c6-3116-42b5-b1f3-d7807b5313e1", + "id": "8d8e120d-4982-48c0-bb9a-3a4b1f6f3835", "name": "Merge Hojas " }, { "parameters": { - "jsCode": "const data = $input.first().json || {};\n\nfunction normalizeText(value) {\n return String(value ?? '')\n .replace(/\\uFEFF/g, '')\n .replace(/\\s+/g, ' ')\n .trim();\n}\n\nfunction roundMoney(value) {\n return Math.round((Number(value) || 0) * 100) / 100;\n}\n\nfunction readableCategory(value) {\n const map = {\n coincidencia: 'Coincidencia',\n discrepancia: 'Discrepancia',\n posible_cuenta_mal_digitada: 'Posible cuenta mal digitada',\n banco_sin_nomina: 'Banco sin nómina',\n banco_sin_bamboo: 'Banco sin Bamboo',\n nomina_sin_cuenta: 'Nómina sin cuenta',\n diferencia_nombre_banco: 'Diferencia nombre banco',\n };\n\n return map[value] || normalizeText(value).replace(/_/g, ' ');\n}\n\nfunction firstValue(value) {\n if (Array.isArray(value)) {\n return value.filter(Boolean).join(' / ');\n }\n\n return normalizeText(value);\n}\n\nfunction formatPeriodEnd(value) {\n const raw = normalizeText(value);\n\n if (!/^\\d{4}-\\d{2}-\\d{2}$/.test(raw)) {\n return raw;\n }\n\n const [year, month, day] = raw.split('-');\n const monthNames = {\n '01': 'ene',\n '02': 'feb',\n '03': 'mar',\n '04': 'abr',\n '05': 'may',\n '06': 'jun',\n '07': 'jul',\n '08': 'ago',\n '09': 'sep',\n '10': 'oct',\n '11': 'nov',\n '12': 'dic',\n };\n\n return `${day}-${monthNames[month] || month}-${year}`;\n}\n\nfunction mainReportSense(row, difference) {\n const category = normalizeText(row.category).toLowerCase();\n const subcategory = normalizeText(row.subcategory).toLowerCase();\n\n if (category === 'posible_cuenta_mal_digitada') {\n return 'Revisar cuenta';\n }\n\n if (\n subcategory === 'nomina_con_cuenta_sin_pago_banco' ||\n (Number(row.bank_amount ?? row.bankAmount ?? 0) === 0 &&\n Number(row.payroll_amount ?? row.payrollAmount ?? 0) > 0)\n ) {\n return 'No aparece pagado en banco';\n }\n\n if (difference > 0) {\n return 'Se pagó de menos';\n }\n\n if (difference < 0) {\n return 'Se pagó de más';\n }\n\n return 'Revisar';\n}\n\nconst metadata = data.metadata || {};\nconst summary = data.summary || {};\nconst rows = Array.isArray(data.rows) ? data.rows : [];\nconst bankWithoutBamboo = Array.isArray(data.bankWithoutBamboo)\n ? data.bankWithoutBamboo\n : [];\n\nconst periodLabel =\n metadata.period_label ||\n `${metadata.year || ''}-${metadata.month || ''}-${metadata.period_type || ''}`;\n\nconst spreadsheetTitle =\n `Cruce de Cuentas GLM GT - ${periodLabel}`;\n\nconst mainReportSubtitle =\n `Diferencias de Monto Nómina vs. Banco · Guatemala · ${\n formatPeriodEnd(metadata.period_end || '')\n }`;\n\nconst bancoSinBambooSubtitle =\n `Pagos en banco sin empleado identificado en BambooHR · Guatemala · ${\n formatPeriodEnd(metadata.period_end || '')\n }`;\n\nconst cuentaMalDigitadaSubtitle =\n `Cuenta Mal Digitada en Nómina · Guatemala · ${\n formatPeriodEnd(metadata.period_end || '')\n }`;\n\nconst cuentaMalDigitadaCases = rows.filter(\n (row) => row.category === 'posible_cuenta_mal_digitada'\n);\n\nconst hasCuentaMalDigitada =\n cuentaMalDigitadaCases.length > 0;\n\nconst sheetIds = {\n nominaVsBanco: 101,\n bancoSinNomina: 102,\n bancoSinBamboo: 103,\n diferenciasNombreBanco: 104,\n cuentaMalDigitada: 105,\n resumen: 106,\n};\n\nconst sheetTitles = {\n nominaVsBanco: '01 Nómina vs Banco',\n bancoSinNomina: '02 Banco sin Nómina',\n bancoSinBamboo: '03 Banco sin Bamboo',\n diferenciasNombreBanco: '04 Diferencias nombre banco',\n cuentaMalDigitada: '05 Cuenta Mal Digitada',\n resumen: hasCuentaMalDigitada\n ? '06 Resumen'\n : '05 Resumen',\n};\n\nconst nominaVsBancoHeader = [\n '#',\n 'Empleado',\n 'Cuenta',\n 'Monto en Nómina (Q)',\n 'Monto en Banco (Q)',\n 'Diferencia (Q)',\n 'Sentido',\n 'Estado',\n 'Resolución',\n];\n\nconst mainReportRows = rows\n .filter((row) => row.category === 'discrepancia')\n .map((row, index) => {\n const payrollAmount = roundMoney(\n row.payroll_amount ?? row.payrollAmount ?? 0\n );\n const bankAmount = roundMoney(\n row.bank_amount ?? row.bankAmount ?? 0\n );\n const difference = roundMoney(\n row.difference ?? (payrollAmount - bankAmount)\n );\n\n return [\n index + 1,\n normalizeText(row.employee_name || row.employee || ''),\n normalizeText(\n row.bank_account ||\n row.bankAccount ||\n row.payroll_account ||\n row.payrollAccount ||\n row.account ||\n ''\n ),\n payrollAmount,\n bankAmount,\n difference,\n mainReportSense(row, difference),\n normalizeText(row.status || 'Riesgo').toUpperCase(),\n '',\n ];\n });\n\nconst nominaVsBancoValues = [\n [\n 'GOMEZLEE MARKETING',\n '',\n '',\n '',\n '',\n '',\n '',\n '',\n '',\n ],\n [\n mainReportSubtitle,\n '',\n '',\n '',\n '',\n '',\n '',\n '',\n '',\n ],\n ['', '', '', '', '', '', '', '', ''],\n nominaVsBancoHeader,\n ...mainReportRows,\n];\n\nconst bancoSinNominaHeader = [\n 'Empleado Banco',\n 'Cuenta Banco',\n 'Moneda',\n 'Monto Banco',\n 'Estado',\n 'Observación',\n 'Resolución',\n];\n\nconst bancoSinNominaRows = rows\n .filter((row) => row.category === 'banco_sin_nomina')\n .map((row) => [\n normalizeText(row.employee_name || row.employee || ''),\n normalizeText(\n row.bank_account ||\n row.bankAccount ||\n row.account ||\n ''\n ),\n normalizeText(row.currency || 'QTZ'),\n roundMoney(row.bank_amount ?? row.bankAmount ?? 0),\n normalizeText(row.status || ''),\n normalizeText(row.observation || ''),\n '',\n ]);\n\nconst bancoSinBambooHeader = [\n '#',\n 'Nombre en banco',\n 'Nombre del cuentahabiente',\n 'Cuenta',\n 'Monto en banco (Q)',\n 'Número de envío',\n 'Estado',\n 'Resolución',\n];\n\nconst bancoSinBambooRows = bankWithoutBamboo.map((row, index) => [\n index + 1,\n normalizeText(row.bank_name_file || row.employee_name || ''),\n normalizeText(row.bank_account_holder || ''),\n normalizeText(\n row.bank_account ||\n row.bankAccount ||\n row.account ||\n ''\n ),\n roundMoney(row.bank_amount ?? row.bankAmount ?? 0),\n firstValue(row.shipment_numbers || row.shipment_number || ''),\n 'PENDIENTE REVISIÓN',\n '',\n]);\n\nconst bancoSinBambooValues = [\n [\n 'GOMEZLEE MARKETING',\n '',\n '',\n '',\n '',\n '',\n '',\n '',\n ],\n [\n bancoSinBambooSubtitle,\n '',\n '',\n '',\n '',\n '',\n '',\n '',\n ],\n ['', '', '', '', '', '', '', ''],\n bancoSinBambooHeader,\n ...bancoSinBambooRows,\n];\n\nconst diferenciasNombreHeader = [\n 'Nombre en Archivo',\n 'Nombre del Cuentahabiente',\n 'Cuenta Destino',\n 'Moneda',\n 'Monto',\n 'Número de envío',\n 'Número de plan',\n 'Archivo',\n 'Estado',\n 'Observación',\n 'Resolución',\n];\n\nconst diferenciasNombreRows = rows\n .filter((row) => row.category === 'diferencia_nombre_banco')\n .map((row) => [\n normalizeText(row.bank_name_file || row.employee_name || ''),\n normalizeText(row.bank_account_holder || ''),\n normalizeText(\n row.bank_account ||\n row.bankAccount ||\n row.account ||\n ''\n ),\n normalizeText(row.currency || 'QTZ'),\n roundMoney(row.bank_amount ?? row.bankAmount ?? 0),\n normalizeText(row.shipment_number || ''),\n normalizeText(row.plan_number || ''),\n normalizeText(row.source_file || ''),\n normalizeText(row.status || ''),\n normalizeText(row.observation || ''),\n '',\n ]);\n\n\nfunction accountValues(value) {\n const values = Array.isArray(value)\n ? value\n : String(value ?? '')\n .split(/\\s*(?:\\/|;|,|\\by\\b)\\s*/i);\n\n return values\n .map((item) =>\n String(item ?? '')\n .replace(/\\.0$/g, '')\n .replace(/\\D/g, '')\n .trim()\n )\n .filter((item) =>\n item.length >= 7 &&\n !/^0+$/.test(item)\n );\n}\n\nfunction payrollAccountsForWrongAccount(row) {\n const candidates = [\n row.payroll_account,\n row.payrollAccount,\n ...(Array.isArray(row.source_rows)\n ? row.source_rows.flatMap((sourceRow) => [\n sourceRow.account,\n sourceRow.payroll_account,\n sourceRow.payrollAccount,\n ])\n : []),\n ];\n\n return Array.from(new Set(\n candidates.flatMap(accountValues)\n ));\n}\n\nfunction bankAccountForWrongAccount(row) {\n return firstValue(\n row.bank_account ||\n row.bankAccount ||\n row.account ||\n ''\n );\n}\n\nfunction wrongAccountTotalStatus(row) {\n const payrollAmount = roundMoney(\n row.payroll_amount ?? row.payrollAmount ?? 0\n );\n const bankAmount = roundMoney(\n row.bank_amount ?? row.bankAmount ?? 0\n );\n const difference = roundMoney(\n payrollAmount - bankAmount\n );\n\n if (Math.abs(difference) <= 0.02) {\n return 'El total de nómina coincide con el total del banco.';\n }\n\n if (difference > 0) {\n return (\n `El total de nómina supera el total del banco por ` +\n `Q${Math.abs(difference).toLocaleString('en-US', {\n minimumFractionDigits: 2,\n maximumFractionDigits: 2,\n })}.`\n );\n }\n\n return (\n `El total pagado por el banco supera el total de nómina por ` +\n `Q${Math.abs(difference).toLocaleString('en-US', {\n minimumFractionDigits: 2,\n maximumFractionDigits: 2,\n })}.`\n );\n}\n\nfunction wrongAccountFinding(row) {\n const existing = normalizeText(row.observation || '');\n\n if (existing) {\n return existing;\n }\n\n const payrollAccounts =\n payrollAccountsForWrongAccount(row);\n const bankAccount =\n bankAccountForWrongAccount(row);\n\n return (\n `El empleado presenta una posible inconsistencia entre ` +\n `la cuenta registrada en nómina ` +\n `(${payrollAccounts.join(' y ') || 'sin cuenta identificada'}) ` +\n `y la cuenta utilizada por el banco ` +\n `(${bankAccount || 'sin cuenta identificada'}).`\n );\n}\n\nconst cuentaMalDigitadaHeader = [\n '#',\n 'Campo',\n 'Detalle',\n 'Resolución',\n];\n\nconst cuentaMalDigitadaRows = [];\n\nfor (\n let index = 0;\n index < cuentaMalDigitadaCases.length;\n index++\n) {\n const row = cuentaMalDigitadaCases[index];\n const payrollAccounts =\n payrollAccountsForWrongAccount(row);\n const bankAccount =\n bankAccountForWrongAccount(row);\n\n const fields = [\n [\n 'Empleado',\n normalizeText(\n row.employee_name ||\n row.employee ||\n ''\n ),\n ],\n [\n 'Cuentas registradas en las hojas de nómina',\n payrollAccounts.join(' y ') ||\n 'No se identificó una cuenta válida en la nómina.',\n ],\n [\n 'Cuenta utilizada por el banco',\n bankAccount ||\n 'No se identificó una cuenta válida en el banco.',\n ],\n [\n 'Estado del total',\n wrongAccountTotalStatus(row),\n ],\n [\n 'Hallazgo',\n wrongAccountFinding(row),\n ],\n [\n 'Clasificación',\n 'Posible cuenta mal digitada — revisar y unificar la cuenta en las hojas de nómina.',\n ],\n ];\n\n fields.forEach((field, fieldIndex) => {\n cuentaMalDigitadaRows.push([\n fieldIndex === 0 ? index + 1 : '',\n field[0],\n field[1],\n '',\n ]);\n });\n}\n\nconst cuentaMalDigitadaValues = [\n [\n 'GOMEZLEE MARKETING',\n '',\n '',\n '',\n ],\n [\n cuentaMalDigitadaSubtitle,\n '',\n '',\n '',\n ],\n ['', '', '', ''],\n cuentaMalDigitadaHeader,\n ...cuentaMalDigitadaRows,\n];\n\nconst resumenHeader = ['Indicador', 'Valor'];\nconst resumenRows = [\n ['Período', periodLabel],\n ['Coincidencias', Number(summary.coincidencias || 0)],\n ['Discrepancias', Number(summary.discrepancias || 0)],\n ['Banco sin nómina', Number(summary.bancoSinNomina || 0)],\n ['Banco sin Bamboo', Number(summary.bancoSinBamboo || 0)],\n ['Nómina sin cuenta', Number(summary.nominaSinCuenta || 0)],\n [\n 'Diferencias nombre banco',\n Number(summary.diferenciasNombreBanco || 0),\n ],\n [\n 'Posibles cuentas mal digitadas',\n Number(summary.posiblesCuentasMalDigitadas || 0),\n ],\n ['Pendientes cruce principal', Number(summary.pendientes || 0)],\n [\n 'Empleados BambooHR Guatemala',\n Number(summary.empleadosBambooGT || 0),\n ],\n [\n 'Empleados BambooHR en el período',\n Number(summary.empleadosBambooEnPeriodo || 0),\n ],\n ['Filas válidas de nómina', Number(summary.filasNominaValidas || 0)],\n [\n 'Suplementos adjuntados',\n Number(summary.suplementosNominaAdjuntados || 0),\n ],\n [\n 'Suplementos sin coincidencia',\n Number(summary.suplementosNominaNoAdjuntados || 0),\n ],\n ['Transacciones bancarias', Number(summary.transaccionesBanco || 0)],\n ['Total nómina', roundMoney(summary.totalNomina || 0)],\n ['Total banco', roundMoney(summary.totalBanco || 0)],\n ['Diferencia total', roundMoney(summary.diferenciaTotal || 0)],\n];\n\nfunction buildSheetValues(header, bodyRows) {\n return [header, ...bodyRows];\n}\n\nconst valueData = [\n {\n range: `'${sheetTitles.nominaVsBanco}'!A1:I`,\n values: nominaVsBancoValues,\n },\n {\n range: `'${sheetTitles.bancoSinNomina}'!A1:G`,\n values: buildSheetValues(\n bancoSinNominaHeader,\n bancoSinNominaRows\n ),\n },\n {\n range: `'${sheetTitles.bancoSinBamboo}'!A1:H`,\n values: bancoSinBambooValues,\n },\n {\n range: `'${sheetTitles.diferenciasNombreBanco}'!A1:K`,\n values: buildSheetValues(\n diferenciasNombreHeader,\n diferenciasNombreRows\n ),\n },\n ...(hasCuentaMalDigitada\n ? [\n {\n range:\n `'${sheetTitles.cuentaMalDigitada}'!A1:D`,\n values: cuentaMalDigitadaValues,\n },\n ]\n : []),\n {\n range: `'${sheetTitles.resumen}'!A1:B`,\n values: buildSheetValues(\n resumenHeader,\n resumenRows\n ),\n },\n];\n\nfunction headerFormatRequest(\n sheetId,\n endColumnIndex,\n startRowIndex = 0\n) {\n return {\n repeatCell: {\n range: {\n sheetId,\n startRowIndex,\n endRowIndex: startRowIndex + 1,\n startColumnIndex: 0,\n endColumnIndex,\n },\n cell: {\n userEnteredFormat: {\n backgroundColor: {\n red: 0.29,\n green: 0.49,\n blue: 0.58,\n },\n textFormat: {\n bold: true,\n foregroundColor: {\n red: 1,\n green: 1,\n blue: 1,\n },\n },\n horizontalAlignment: 'CENTER',\n verticalAlignment: 'MIDDLE',\n wrapStrategy: 'WRAP',\n },\n },\n fields:\n 'userEnteredFormat(backgroundColor,textFormat,horizontalAlignment,verticalAlignment,wrapStrategy)',\n },\n };\n}\n\nfunction freezeHeaderRequest(sheetId, frozenRowCount = 1) {\n return {\n updateSheetProperties: {\n properties: {\n sheetId,\n gridProperties: {\n frozenRowCount,\n },\n },\n fields: 'gridProperties.frozenRowCount',\n },\n };\n}\n\nfunction autoResizeRequest(sheetId, endColumnIndex) {\n return {\n autoResizeDimensions: {\n dimensions: {\n sheetId,\n dimension: 'COLUMNS',\n startIndex: 0,\n endIndex: endColumnIndex,\n },\n },\n };\n}\n\nfunction moneyFormatRequest(\n sheetId,\n startColumnIndex,\n endColumnIndex,\n startRowIndex = 1,\n pattern = '#,##0.00',\n endRowIndex = null\n) {\n const range = {\n sheetId,\n startRowIndex,\n startColumnIndex,\n endColumnIndex,\n };\n\n if (Number.isInteger(endRowIndex)) {\n range.endRowIndex = endRowIndex;\n }\n\n return {\n repeatCell: {\n range,\n cell: {\n userEnteredFormat: {\n numberFormat: {\n type: 'NUMBER',\n pattern,\n },\n },\n },\n fields: 'userEnteredFormat.numberFormat',\n },\n };\n}\n\nfunction basicFilterRequest(\n sheetId,\n endColumnIndex,\n startRowIndex = 0,\n endRowIndex = null\n) {\n const range = {\n sheetId,\n startRowIndex,\n startColumnIndex: 0,\n endColumnIndex,\n };\n\n if (Number.isInteger(endRowIndex)) {\n range.endRowIndex = endRowIndex;\n }\n\n return {\n setBasicFilter: {\n filter: {\n range,\n },\n },\n };\n}\n\nfunction mergeRowRequest(\n sheetId,\n rowIndex,\n endColumnIndex\n) {\n return {\n mergeCells: {\n range: {\n sheetId,\n startRowIndex: rowIndex,\n endRowIndex: rowIndex + 1,\n startColumnIndex: 0,\n endColumnIndex,\n },\n mergeType: 'MERGE_ALL',\n },\n };\n}\n\nfunction titleRowFormatRequest(\n sheetId,\n rowIndex,\n endColumnIndex,\n options = {}\n) {\n const {\n fontSize = 12,\n bold = true,\n italic = false,\n horizontalAlignment = 'LEFT',\n } = options;\n\n return {\n repeatCell: {\n range: {\n sheetId,\n startRowIndex: rowIndex,\n endRowIndex: rowIndex + 1,\n startColumnIndex: 0,\n endColumnIndex,\n },\n cell: {\n userEnteredFormat: {\n backgroundColor: {\n red: 0.29,\n green: 0.49,\n blue: 0.58,\n },\n textFormat: {\n bold,\n italic,\n fontSize,\n foregroundColor: {\n red: 1,\n green: 1,\n blue: 1,\n },\n },\n horizontalAlignment,\n verticalAlignment: 'MIDDLE',\n },\n },\n fields:\n 'userEnteredFormat(backgroundColor,textFormat,horizontalAlignment,verticalAlignment)',\n },\n };\n}\n\nfunction columnWidthRequest(\n sheetId,\n startIndex,\n endIndex,\n pixelSize\n) {\n return {\n updateDimensionProperties: {\n range: {\n sheetId,\n dimension: 'COLUMNS',\n startIndex,\n endIndex,\n },\n properties: {\n pixelSize,\n },\n fields: 'pixelSize',\n },\n };\n}\n\nfunction rowHeightRequest(\n sheetId,\n startIndex,\n endIndex,\n pixelSize\n) {\n return {\n updateDimensionProperties: {\n range: {\n sheetId,\n dimension: 'ROWS',\n startIndex,\n endIndex,\n },\n properties: {\n pixelSize,\n },\n fields: 'pixelSize',\n },\n };\n}\n\nfunction bodyAlignmentRequest(\n sheetId,\n startColumnIndex,\n endColumnIndex,\n horizontalAlignment,\n endRowIndex\n) {\n return {\n repeatCell: {\n range: {\n sheetId,\n startRowIndex: 4,\n endRowIndex,\n startColumnIndex,\n endColumnIndex,\n },\n cell: {\n userEnteredFormat: {\n horizontalAlignment,\n verticalAlignment: 'MIDDLE',\n wrapStrategy: 'WRAP',\n },\n },\n fields:\n 'userEnteredFormat(horizontalAlignment,verticalAlignment,wrapStrategy)',\n },\n };\n}\n\nfunction statusFormatRequest(sheetId, endRowIndex) {\n return {\n repeatCell: {\n range: {\n sheetId,\n startRowIndex: 4,\n endRowIndex,\n startColumnIndex: 7,\n endColumnIndex: 8,\n },\n cell: {\n userEnteredFormat: {\n backgroundColor: {\n red: 1,\n green: 0.92,\n blue: 0.92,\n },\n textFormat: {\n bold: true,\n foregroundColor: {\n red: 0.85,\n green: 0.08,\n blue: 0.08,\n },\n },\n horizontalAlignment: 'CENTER',\n verticalAlignment: 'MIDDLE',\n },\n },\n fields:\n 'userEnteredFormat(backgroundColor,textFormat,horizontalAlignment,verticalAlignment)',\n },\n };\n}\n\nfunction bambooStatusFormatRequest(\n sheetId,\n endRowIndex\n) {\n return {\n repeatCell: {\n range: {\n sheetId,\n startRowIndex: 4,\n endRowIndex,\n startColumnIndex: 6,\n endColumnIndex: 7,\n },\n cell: {\n userEnteredFormat: {\n backgroundColor: {\n red: 1,\n green: 0.97,\n blue: 0.82,\n },\n textFormat: {\n bold: true,\n foregroundColor: {\n red: 0.70,\n green: 0.30,\n blue: 0.00,\n },\n },\n horizontalAlignment: 'CENTER',\n verticalAlignment: 'MIDDLE',\n wrapStrategy: 'WRAP',\n },\n },\n fields:\n 'userEnteredFormat(backgroundColor,textFormat,horizontalAlignment,verticalAlignment,wrapStrategy)',\n },\n };\n}\n\n\nfunction mergeVerticalRequest(\n sheetId,\n startRowIndex,\n endRowIndex,\n columnIndex\n) {\n return {\n mergeCells: {\n range: {\n sheetId,\n startRowIndex,\n endRowIndex,\n startColumnIndex: columnIndex,\n endColumnIndex: columnIndex + 1,\n },\n mergeType: 'MERGE_ALL',\n },\n };\n}\n\nfunction rangeFormatRequest(\n sheetId,\n startRowIndex,\n endRowIndex,\n startColumnIndex,\n endColumnIndex,\n userEnteredFormat\n) {\n return {\n repeatCell: {\n range: {\n sheetId,\n startRowIndex,\n endRowIndex,\n startColumnIndex,\n endColumnIndex,\n },\n cell: {\n userEnteredFormat,\n },\n fields:\n 'userEnteredFormat(backgroundColor,textFormat,horizontalAlignment,verticalAlignment,wrapStrategy)',\n },\n };\n}\n\nfunction conditionalDifferenceRequest(\n sheetId,\n formula,\n backgroundColor,\n textColor,\n ranges,\n index\n) {\n return {\n addConditionalFormatRule: {\n index,\n rule: {\n ranges,\n booleanRule: {\n condition: {\n type: 'CUSTOM_FORMULA',\n values: [\n {\n userEnteredValue: formula,\n },\n ],\n },\n format: {\n backgroundColor,\n textFormat: {\n bold: true,\n foregroundColor: textColor,\n },\n },\n },\n },\n },\n };\n}\n\nfunction borderRequest(\n sheetId,\n startRowIndex,\n endRowIndex,\n endColumnIndex\n) {\n const border = {\n style: 'SOLID',\n color: {\n red: 0.72,\n green: 0.82,\n blue: 0.76,\n },\n };\n\n return {\n updateBorders: {\n range: {\n sheetId,\n startRowIndex,\n endRowIndex,\n startColumnIndex: 0,\n endColumnIndex,\n },\n top: border,\n bottom: border,\n left: border,\n right: border,\n innerHorizontal: border,\n innerVertical: border,\n },\n };\n}\n\nconst mainReportEndRow = Math.max(\n 4 + mainReportRows.length,\n 4\n);\n\nconst bancoSinBambooEndRow = Math.max(\n 4 + bancoSinBambooRows.length,\n 4\n);\n\nconst mainConditionalRanges = mainReportRows.length\n ? [\n {\n sheetId: sheetIds.nominaVsBanco,\n startRowIndex: 4,\n endRowIndex: mainReportEndRow,\n startColumnIndex: 5,\n endColumnIndex: 7,\n },\n ]\n : [];\n\nconst mainDataFormatRequests = mainReportRows.length\n ? [\n moneyFormatRequest(\n sheetIds.nominaVsBanco,\n 3,\n 6,\n 4,\n 'Q#,##0.00;[Red](Q#,##0.00)',\n mainReportEndRow\n ),\n bodyAlignmentRequest(\n sheetIds.nominaVsBanco,\n 0,\n 1,\n 'CENTER',\n mainReportEndRow\n ),\n bodyAlignmentRequest(\n sheetIds.nominaVsBanco,\n 1,\n 2,\n 'LEFT',\n mainReportEndRow\n ),\n bodyAlignmentRequest(\n sheetIds.nominaVsBanco,\n 2,\n 3,\n 'CENTER',\n mainReportEndRow\n ),\n bodyAlignmentRequest(\n sheetIds.nominaVsBanco,\n 3,\n 6,\n 'RIGHT',\n mainReportEndRow\n ),\n bodyAlignmentRequest(\n sheetIds.nominaVsBanco,\n 6,\n 8,\n 'CENTER',\n mainReportEndRow\n ),\n bodyAlignmentRequest(\n sheetIds.nominaVsBanco,\n 8,\n 9,\n 'LEFT',\n mainReportEndRow\n ),\n statusFormatRequest(\n sheetIds.nominaVsBanco,\n mainReportEndRow\n ),\n conditionalDifferenceRequest(\n sheetIds.nominaVsBanco,\n '=$F5>0',\n {\n red: 1,\n green: 0.97,\n blue: 0.82,\n },\n {\n red: 0.25,\n green: 0.25,\n blue: 0.25,\n },\n mainConditionalRanges,\n 0\n ),\n conditionalDifferenceRequest(\n sheetIds.nominaVsBanco,\n '=$F5<0',\n {\n red: 1,\n green: 0.89,\n blue: 0.89,\n },\n {\n red: 0.9,\n green: 0.05,\n blue: 0.05,\n },\n mainConditionalRanges,\n 1\n ),\n rowHeightRequest(\n sheetIds.nominaVsBanco,\n 4,\n mainReportEndRow,\n 28\n ),\n ]\n : [];\n\n\nconst cuentaMalDigitadaEndRow = Math.max(\n 4 + cuentaMalDigitadaRows.length,\n 4\n);\n\nconst cuentaMalDigitadaCaseRequests =\n hasCuentaMalDigitada\n ? cuentaMalDigitadaCases.flatMap(\n (_, caseIndex) => {\n const startRowIndex =\n 4 + caseIndex * 6;\n const endRowIndex =\n startRowIndex + 6;\n\n return [\n mergeVerticalRequest(\n sheetIds.cuentaMalDigitada,\n startRowIndex,\n endRowIndex,\n 0\n ),\n mergeVerticalRequest(\n sheetIds.cuentaMalDigitada,\n startRowIndex,\n endRowIndex,\n 3\n ),\n rowHeightRequest(\n sheetIds.cuentaMalDigitada,\n startRowIndex,\n startRowIndex + 4,\n 34\n ),\n rowHeightRequest(\n sheetIds.cuentaMalDigitada,\n startRowIndex + 4,\n startRowIndex + 5,\n 76\n ),\n rowHeightRequest(\n sheetIds.cuentaMalDigitada,\n startRowIndex + 5,\n endRowIndex,\n 54\n ),\n rangeFormatRequest(\n sheetIds.cuentaMalDigitada,\n startRowIndex + 4,\n startRowIndex + 5,\n 2,\n 3,\n {\n backgroundColor: {\n red: 0.97,\n green: 0.97,\n blue: 0.97,\n },\n horizontalAlignment: 'LEFT',\n verticalAlignment: 'MIDDLE',\n wrapStrategy: 'WRAP',\n }\n ),\n rangeFormatRequest(\n sheetIds.cuentaMalDigitada,\n startRowIndex + 5,\n endRowIndex,\n 2,\n 3,\n {\n backgroundColor: {\n red: 1,\n green: 0.97,\n blue: 0.82,\n },\n textFormat: {\n bold: true,\n foregroundColor: {\n red: 0.55,\n green: 0.30,\n blue: 0.00,\n },\n },\n horizontalAlignment: 'LEFT',\n verticalAlignment: 'MIDDLE',\n wrapStrategy: 'WRAP',\n }\n ),\n ];\n }\n )\n : [];\n\nconst cuentaMalDigitadaFormatRequests =\n hasCuentaMalDigitada\n ? [\n mergeRowRequest(\n sheetIds.cuentaMalDigitada,\n 0,\n 4\n ),\n mergeRowRequest(\n sheetIds.cuentaMalDigitada,\n 1,\n 4\n ),\n titleRowFormatRequest(\n sheetIds.cuentaMalDigitada,\n 0,\n 4,\n {\n fontSize: 12,\n bold: true,\n italic: false,\n horizontalAlignment: 'LEFT',\n }\n ),\n titleRowFormatRequest(\n sheetIds.cuentaMalDigitada,\n 1,\n 4,\n {\n fontSize: 10,\n bold: false,\n italic: true,\n horizontalAlignment: 'LEFT',\n }\n ),\n headerFormatRequest(\n sheetIds.cuentaMalDigitada,\n 4,\n 3\n ),\n freezeHeaderRequest(\n sheetIds.cuentaMalDigitada,\n 4\n ),\n borderRequest(\n sheetIds.cuentaMalDigitada,\n 3,\n cuentaMalDigitadaEndRow,\n 4\n ),\n rowHeightRequest(\n sheetIds.cuentaMalDigitada,\n 0,\n 1,\n 30\n ),\n rowHeightRequest(\n sheetIds.cuentaMalDigitada,\n 1,\n 2,\n 26\n ),\n rowHeightRequest(\n sheetIds.cuentaMalDigitada,\n 3,\n 4,\n 40\n ),\n rangeFormatRequest(\n sheetIds.cuentaMalDigitada,\n 4,\n cuentaMalDigitadaEndRow,\n 0,\n 1,\n {\n backgroundColor: {\n red: 0.91,\n green: 0.95,\n blue: 0.99,\n },\n textFormat: {\n bold: true,\n foregroundColor: {\n red: 0.20,\n green: 0.36,\n blue: 0.45,\n },\n },\n horizontalAlignment: 'CENTER',\n verticalAlignment: 'MIDDLE',\n wrapStrategy: 'WRAP',\n }\n ),\n rangeFormatRequest(\n sheetIds.cuentaMalDigitada,\n 4,\n cuentaMalDigitadaEndRow,\n 1,\n 2,\n {\n backgroundColor: {\n red: 0.93,\n green: 0.97,\n blue: 0.90,\n },\n textFormat: {\n bold: true,\n foregroundColor: {\n red: 0.20,\n green: 0.36,\n blue: 0.45,\n },\n },\n horizontalAlignment: 'LEFT',\n verticalAlignment: 'MIDDLE',\n wrapStrategy: 'WRAP',\n }\n ),\n rangeFormatRequest(\n sheetIds.cuentaMalDigitada,\n 4,\n cuentaMalDigitadaEndRow,\n 2,\n 3,\n {\n horizontalAlignment: 'LEFT',\n verticalAlignment: 'MIDDLE',\n wrapStrategy: 'WRAP',\n }\n ),\n rangeFormatRequest(\n sheetIds.cuentaMalDigitada,\n 4,\n cuentaMalDigitadaEndRow,\n 3,\n 4,\n {\n horizontalAlignment: 'LEFT',\n verticalAlignment: 'MIDDLE',\n wrapStrategy: 'WRAP',\n }\n ),\n columnWidthRequest(\n sheetIds.cuentaMalDigitada,\n 0,\n 1,\n 48\n ),\n columnWidthRequest(\n sheetIds.cuentaMalDigitada,\n 1,\n 2,\n 285\n ),\n columnWidthRequest(\n sheetIds.cuentaMalDigitada,\n 2,\n 3,\n 520\n ),\n columnWidthRequest(\n sheetIds.cuentaMalDigitada,\n 3,\n 4,\n 260\n ),\n ...cuentaMalDigitadaCaseRequests,\n ]\n : [];\n\n\nfunction wrapRangeRequest(\n sheetId,\n startRowIndex,\n endRowIndex,\n startColumnIndex,\n endColumnIndex\n) {\n return {\n repeatCell: {\n range: {\n sheetId,\n startRowIndex,\n endRowIndex,\n startColumnIndex,\n endColumnIndex,\n },\n cell: {\n userEnteredFormat: {\n verticalAlignment: 'MIDDLE',\n wrapStrategy: 'WRAP',\n },\n },\n fields:\n 'userEnteredFormat(verticalAlignment,wrapStrategy)',\n },\n };\n}\n\nfunction autoResizeRowsRequest(\n sheetId,\n startIndex,\n endIndex\n) {\n return {\n autoResizeDimensions: {\n dimensions: {\n sheetId,\n dimension: 'ROWS',\n startIndex,\n endIndex,\n },\n },\n };\n}\n\nconst formatRequests = [\n mergeRowRequest(sheetIds.nominaVsBanco, 0, 9),\n mergeRowRequest(sheetIds.nominaVsBanco, 1, 9),\n titleRowFormatRequest(\n sheetIds.nominaVsBanco,\n 0,\n 9,\n {\n fontSize: 12,\n bold: true,\n italic: false,\n horizontalAlignment: 'LEFT',\n }\n ),\n titleRowFormatRequest(\n sheetIds.nominaVsBanco,\n 1,\n 9,\n {\n fontSize: 10,\n bold: false,\n italic: true,\n horizontalAlignment: 'LEFT',\n }\n ),\n headerFormatRequest(\n sheetIds.nominaVsBanco,\n 9,\n 3\n ),\n freezeHeaderRequest(\n sheetIds.nominaVsBanco,\n 4\n ),\n basicFilterRequest(\n sheetIds.nominaVsBanco,\n 9,\n 3,\n mainReportEndRow\n ),\n borderRequest(\n sheetIds.nominaVsBanco,\n 3,\n mainReportEndRow,\n 9\n ),\n rowHeightRequest(\n sheetIds.nominaVsBanco,\n 0,\n 1,\n 30\n ),\n rowHeightRequest(\n sheetIds.nominaVsBanco,\n 1,\n 2,\n 26\n ),\n rowHeightRequest(\n sheetIds.nominaVsBanco,\n 3,\n 4,\n 42\n ),\n ...mainDataFormatRequests,\n\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 0,\n 1,\n 48\n ),\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 1,\n 2,\n 260\n ),\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 2,\n 3,\n 130\n ),\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 3,\n 6,\n 130\n ),\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 6,\n 7,\n 155\n ),\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 7,\n 8,\n 110\n ),\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 8,\n 9,\n 260\n ),\n\n headerFormatRequest(sheetIds.bancoSinNomina, 7),\n freezeHeaderRequest(sheetIds.bancoSinNomina),\n autoResizeRequest(sheetIds.bancoSinNomina, 7),\n moneyFormatRequest(sheetIds.bancoSinNomina, 3, 4),\n basicFilterRequest(sheetIds.bancoSinNomina, 7),\n columnWidthRequest(\n sheetIds.bancoSinNomina,\n 6,\n 7,\n 260\n ),\n\n mergeRowRequest(sheetIds.bancoSinBamboo, 0, 8),\n mergeRowRequest(sheetIds.bancoSinBamboo, 1, 8),\n titleRowFormatRequest(\n sheetIds.bancoSinBamboo,\n 0,\n 8,\n {\n fontSize: 12,\n bold: true,\n italic: false,\n horizontalAlignment: 'LEFT',\n }\n ),\n titleRowFormatRequest(\n sheetIds.bancoSinBamboo,\n 1,\n 8,\n {\n fontSize: 10,\n bold: false,\n italic: true,\n horizontalAlignment: 'LEFT',\n }\n ),\n headerFormatRequest(\n sheetIds.bancoSinBamboo,\n 8,\n 3\n ),\n freezeHeaderRequest(\n sheetIds.bancoSinBamboo,\n 4\n ),\n basicFilterRequest(\n sheetIds.bancoSinBamboo,\n 8,\n 3,\n bancoSinBambooEndRow\n ),\n borderRequest(\n sheetIds.bancoSinBamboo,\n 3,\n bancoSinBambooEndRow,\n 8\n ),\n rowHeightRequest(\n sheetIds.bancoSinBamboo,\n 0,\n 1,\n 30\n ),\n rowHeightRequest(\n sheetIds.bancoSinBamboo,\n 1,\n 2,\n 26\n ),\n rowHeightRequest(\n sheetIds.bancoSinBamboo,\n 3,\n 4,\n 42\n ),\n moneyFormatRequest(\n sheetIds.bancoSinBamboo,\n 4,\n 5,\n 4,\n 'Q#,##0.00',\n bancoSinBambooEndRow\n ),\n bodyAlignmentRequest(\n sheetIds.bancoSinBamboo,\n 0,\n 1,\n 'CENTER',\n bancoSinBambooEndRow\n ),\n bodyAlignmentRequest(\n sheetIds.bancoSinBamboo,\n 1,\n 3,\n 'LEFT',\n bancoSinBambooEndRow\n ),\n bodyAlignmentRequest(\n sheetIds.bancoSinBamboo,\n 3,\n 4,\n 'CENTER',\n bancoSinBambooEndRow\n ),\n bodyAlignmentRequest(\n sheetIds.bancoSinBamboo,\n 4,\n 5,\n 'RIGHT',\n bancoSinBambooEndRow\n ),\n bodyAlignmentRequest(\n sheetIds.bancoSinBamboo,\n 5,\n 7,\n 'CENTER',\n bancoSinBambooEndRow\n ),\n bodyAlignmentRequest(\n sheetIds.bancoSinBamboo,\n 7,\n 8,\n 'LEFT',\n bancoSinBambooEndRow\n ),\n bambooStatusFormatRequest(\n sheetIds.bancoSinBamboo,\n bancoSinBambooEndRow\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 0,\n 1,\n 48\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 1,\n 2,\n 220\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 2,\n 3,\n 270\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 3,\n 4,\n 135\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 4,\n 5,\n 130\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 5,\n 6,\n 110\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 6,\n 7,\n 140\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 7,\n 8,\n 260\n ),\n\n headerFormatRequest(\n sheetIds.diferenciasNombreBanco,\n 11\n ),\n freezeHeaderRequest(\n sheetIds.diferenciasNombreBanco\n ),\n autoResizeRequest(\n sheetIds.diferenciasNombreBanco,\n 11\n ),\n moneyFormatRequest(\n sheetIds.diferenciasNombreBanco,\n 4,\n 5\n ),\n basicFilterRequest(\n sheetIds.diferenciasNombreBanco,\n 11\n ),\n columnWidthRequest(\n sheetIds.diferenciasNombreBanco,\n 10,\n 11,\n 260\n ),\n\n ...cuentaMalDigitadaFormatRequests,\n\n headerFormatRequest(sheetIds.resumen, 2),\n freezeHeaderRequest(sheetIds.resumen),\n autoResizeRequest(sheetIds.resumen, 2),\n moneyFormatRequest(sheetIds.resumen, 1, 2),\n];\n\n\nconst bancoSinNominaEndRow =\n 1 + bancoSinNominaRows.length;\n\nconst diferenciasNombreEndRow =\n 1 + diferenciasNombreRows.length;\n\nconst resumenReadabilityEndRow =\n 1 + resumenRows.length;\n\n/*\n * Ajuste final de legibilidad.\n *\n * Se ejecuta al final para que los anchos definitivos ya estén aplicados\n * cuando Google Sheets calcule automáticamente la altura de cada fila.\n * Así, cualquier texto largo queda envuelto y visible sin que el usuario\n * tenga que expandir columnas o filas manualmente.\n */\nformatRequests.push(\n // 01 Nómina vs Banco\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 1,\n 2,\n 300\n ),\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 2,\n 3,\n 150\n ),\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 3,\n 6,\n 145\n ),\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 6,\n 7,\n 220\n ),\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 7,\n 8,\n 140\n ),\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 8,\n 9,\n 320\n ),\n ...(mainReportRows.length > 0\n ? [\n wrapRangeRequest(\n sheetIds.nominaVsBanco,\n 4,\n mainReportEndRow,\n 0,\n 9\n ),\n autoResizeRowsRequest(\n sheetIds.nominaVsBanco,\n 4,\n mainReportEndRow\n ),\n ]\n : []),\n\n // 02 Banco sin Nómina\n columnWidthRequest(\n sheetIds.bancoSinNomina,\n 0,\n 1,\n 320\n ),\n columnWidthRequest(\n sheetIds.bancoSinNomina,\n 1,\n 2,\n 165\n ),\n columnWidthRequest(\n sheetIds.bancoSinNomina,\n 2,\n 3,\n 95\n ),\n columnWidthRequest(\n sheetIds.bancoSinNomina,\n 3,\n 4,\n 140\n ),\n columnWidthRequest(\n sheetIds.bancoSinNomina,\n 4,\n 5,\n 170\n ),\n columnWidthRequest(\n sheetIds.bancoSinNomina,\n 5,\n 6,\n 560\n ),\n columnWidthRequest(\n sheetIds.bancoSinNomina,\n 6,\n 7,\n 320\n ),\n autoResizeRowsRequest(\n sheetIds.bancoSinNomina,\n 0,\n 1\n ),\n ...(bancoSinNominaRows.length > 0\n ? [\n wrapRangeRequest(\n sheetIds.bancoSinNomina,\n 1,\n bancoSinNominaEndRow,\n 0,\n 7\n ),\n autoResizeRowsRequest(\n sheetIds.bancoSinNomina,\n 1,\n bancoSinNominaEndRow\n ),\n ]\n : []),\n\n // 03 Banco sin Bamboo\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 1,\n 2,\n 300\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 2,\n 3,\n 330\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 3,\n 4,\n 150\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 4,\n 5,\n 145\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 5,\n 6,\n 150\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 6,\n 7,\n 170\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 7,\n 8,\n 320\n ),\n ...(bancoSinBambooRows.length > 0\n ? [\n wrapRangeRequest(\n sheetIds.bancoSinBamboo,\n 4,\n bancoSinBambooEndRow,\n 0,\n 8\n ),\n autoResizeRowsRequest(\n sheetIds.bancoSinBamboo,\n 4,\n bancoSinBambooEndRow\n ),\n ]\n : []),\n\n // 04 Diferencias nombre banco\n columnWidthRequest(\n sheetIds.diferenciasNombreBanco,\n 0,\n 1,\n 300\n ),\n columnWidthRequest(\n sheetIds.diferenciasNombreBanco,\n 1,\n 2,\n 330\n ),\n columnWidthRequest(\n sheetIds.diferenciasNombreBanco,\n 2,\n 3,\n 155\n ),\n columnWidthRequest(\n sheetIds.diferenciasNombreBanco,\n 3,\n 4,\n 95\n ),\n columnWidthRequest(\n sheetIds.diferenciasNombreBanco,\n 4,\n 5,\n 140\n ),\n columnWidthRequest(\n sheetIds.diferenciasNombreBanco,\n 5,\n 7,\n 150\n ),\n columnWidthRequest(\n sheetIds.diferenciasNombreBanco,\n 7,\n 8,\n 260\n ),\n columnWidthRequest(\n sheetIds.diferenciasNombreBanco,\n 8,\n 9,\n 170\n ),\n columnWidthRequest(\n sheetIds.diferenciasNombreBanco,\n 9,\n 10,\n 650\n ),\n columnWidthRequest(\n sheetIds.diferenciasNombreBanco,\n 10,\n 11,\n 320\n ),\n autoResizeRowsRequest(\n sheetIds.diferenciasNombreBanco,\n 0,\n 1\n ),\n ...(diferenciasNombreRows.length > 0\n ? [\n wrapRangeRequest(\n sheetIds.diferenciasNombreBanco,\n 1,\n diferenciasNombreEndRow,\n 0,\n 11\n ),\n autoResizeRowsRequest(\n sheetIds.diferenciasNombreBanco,\n 1,\n diferenciasNombreEndRow\n ),\n ]\n : []),\n\n // 05 Cuenta Mal Digitada\n ...(hasCuentaMalDigitada\n ? [\n columnWidthRequest(\n sheetIds.cuentaMalDigitada,\n 1,\n 2,\n 300\n ),\n columnWidthRequest(\n sheetIds.cuentaMalDigitada,\n 2,\n 3,\n 600\n ),\n columnWidthRequest(\n sheetIds.cuentaMalDigitada,\n 3,\n 4,\n 320\n ),\n ]\n : []),\n\n // Resumen\n columnWidthRequest(\n sheetIds.resumen,\n 0,\n 1,\n 380\n ),\n columnWidthRequest(\n sheetIds.resumen,\n 1,\n 2,\n 320\n ),\n autoResizeRowsRequest(\n sheetIds.resumen,\n 0,\n 1\n ),\n ...(resumenRows.length > 0\n ? [\n wrapRangeRequest(\n sheetIds.resumen,\n 1,\n resumenReadabilityEndRow,\n 0,\n 2\n ),\n autoResizeRowsRequest(\n sheetIds.resumen,\n 1,\n resumenReadabilityEndRow\n ),\n ]\n : [])\n);\n\n\nreturn [\n {\n json: {\n ok: true,\n stage: 'preparar_google_sheet',\n metadata,\n summary,\n spreadsheetTitle,\n sheetIds,\n sheetTitles,\n createSpreadsheetBody: {\n properties: {\n title: spreadsheetTitle,\n },\n sheets: [\n {\n properties: {\n sheetId: sheetIds.nominaVsBanco,\n title: sheetTitles.nominaVsBanco,\n },\n },\n {\n properties: {\n sheetId: sheetIds.bancoSinNomina,\n title: sheetTitles.bancoSinNomina,\n },\n },\n {\n properties: {\n sheetId: sheetIds.bancoSinBamboo,\n title: sheetTitles.bancoSinBamboo,\n },\n },\n {\n properties: {\n sheetId:\n sheetIds.diferenciasNombreBanco,\n title:\n sheetTitles.diferenciasNombreBanco,\n },\n },\n ...(hasCuentaMalDigitada\n ? [\n {\n properties: {\n sheetId:\n sheetIds.cuentaMalDigitada,\n title:\n sheetTitles.cuentaMalDigitada,\n },\n },\n ]\n : []),\n {\n properties: {\n sheetId: sheetIds.resumen,\n title: sheetTitles.resumen,\n },\n },\n ],\n },\n valueBatchBody: {\n valueInputOption: 'USER_ENTERED',\n data: valueData,\n },\n formatBatchBody: {\n requests: formatRequests,\n },\n originalResponse: data,\n },\n },\n];" + "jsCode": "const data = $input.first().json || {};\n\nfunction normalizeText(value) {\n return String(value ?? '')\n .replace(/\\uFEFF/g, '')\n .replace(/\\s+/g, ' ')\n .trim();\n}\n\nfunction roundMoney(value) {\n return Math.round((Number(value) || 0) * 100) / 100;\n}\n\nfunction readableCategory(value) {\n const map = {\n coincidencia: 'Coincidencia',\n discrepancia: 'Discrepancia',\n posible_cuenta_mal_digitada: 'Posible cuenta mal digitada',\n banco_sin_nomina: 'Banco sin nómina',\n banco_sin_bamboo: 'Banco sin Bamboo',\n nomina_sin_cuenta: 'Nómina sin cuenta',\n diferencia_nombre_banco: 'Diferencia nombre banco',\n };\n\n return map[value] || normalizeText(value).replace(/_/g, ' ');\n}\n\nfunction firstValue(value) {\n if (Array.isArray(value)) {\n return value.filter(Boolean).join(' / ');\n }\n\n return normalizeText(value);\n}\n\nfunction formatPeriodEnd(value) {\n const raw = normalizeText(value);\n\n if (!/^\\d{4}-\\d{2}-\\d{2}$/.test(raw)) {\n return raw;\n }\n\n const [year, month, day] = raw.split('-');\n const monthNames = {\n '01': 'ene',\n '02': 'feb',\n '03': 'mar',\n '04': 'abr',\n '05': 'may',\n '06': 'jun',\n '07': 'jul',\n '08': 'ago',\n '09': 'sep',\n '10': 'oct',\n '11': 'nov',\n '12': 'dic',\n };\n\n return `${day}-${monthNames[month] || month}-${year}`;\n}\n\nfunction mainReportSense(row, difference) {\n const category = normalizeText(row.category).toLowerCase();\n const subcategory = normalizeText(row.subcategory).toLowerCase();\n\n if (category === 'posible_cuenta_mal_digitada') {\n return 'Revisar cuenta';\n }\n\n if (\n subcategory === 'nomina_con_cuenta_sin_pago_banco' ||\n (Number(row.bank_amount ?? row.bankAmount ?? 0) === 0 &&\n Number(row.payroll_amount ?? row.payrollAmount ?? 0) > 0)\n ) {\n return 'No aparece pagado en banco';\n }\n\n if (difference > 0) {\n return 'Se pagó de menos';\n }\n\n if (difference < 0) {\n return 'Se pagó de más';\n }\n\n return 'Revisar';\n}\n\nconst metadata = data.metadata || {};\nconst summary = data.summary || {};\nconst rows = Array.isArray(data.rows) ? data.rows : [];\nconst bankWithoutBamboo = Array.isArray(data.bankWithoutBamboo)\n ? data.bankWithoutBamboo\n : [];\n\nconst periodLabel =\n metadata.period_label ||\n `${metadata.year || ''}-${metadata.month || ''}-${metadata.period_type || ''}`;\n\nconst spreadsheetTitle =\n `Cruce de Cuentas GLM GT - ${periodLabel}`;\n\nconst mainReportSubtitle =\n `Diferencias de Monto Nómina vs. Banco · Guatemala · ${\n formatPeriodEnd(metadata.period_end || '')\n }`;\n\nconst bancoSinBambooSubtitle =\n `Pagos en banco sin empleado identificado en BambooHR · Guatemala · ${\n formatPeriodEnd(metadata.period_end || '')\n }`;\n\nconst cuentaMalDigitadaSubtitle =\n `Cuenta Mal Digitada en Nómina · Guatemala · ${\n formatPeriodEnd(metadata.period_end || '')\n }`;\n\nconst cuentaMalDigitadaCases = rows.filter(\n (row) => row.category === 'posible_cuenta_mal_digitada'\n);\n\nconst hasCuentaMalDigitada =\n cuentaMalDigitadaCases.length > 0;\n\nconst sheetIds = {\n nominaVsBanco: 101,\n bancoSinNomina: 102,\n bancoSinBamboo: 103,\n diferenciasNombreBanco: 104,\n cuentaMalDigitada: 105,\n resumen: 106,\n};\n\nconst sheetTitles = {\n nominaVsBanco: '01 Nómina vs Banco',\n bancoSinNomina: '02 Banco sin Nómina',\n bancoSinBamboo: '03 Banco sin Bamboo',\n diferenciasNombreBanco: '04 Diferencias nombre banco',\n cuentaMalDigitada: '05 Cuenta Mal Digitada',\n resumen: hasCuentaMalDigitada\n ? '06 Resumen'\n : '05 Resumen',\n};\n\nconst nominaVsBancoHeader = [\n '#',\n 'Empleado',\n 'Cuenta',\n 'Monto en Nómina (Q)',\n 'Monto en Banco (Q)',\n 'Diferencia (Q)',\n 'Sentido',\n 'Estado',\n 'Resolución',\n];\n\nconst mainReportRows = rows\n .filter((row) => row.category === 'discrepancia')\n .map((row, index) => {\n const payrollAmount = roundMoney(\n row.payroll_amount ?? row.payrollAmount ?? 0\n );\n const bankAmount = roundMoney(\n row.bank_amount ?? row.bankAmount ?? 0\n );\n const difference = roundMoney(\n row.difference ?? (payrollAmount - bankAmount)\n );\n\n return [\n index + 1,\n normalizeText(row.employee_name || row.employee || ''),\n normalizeText(\n row.bank_account ||\n row.bankAccount ||\n row.payroll_account ||\n row.payrollAccount ||\n row.account ||\n ''\n ),\n payrollAmount,\n bankAmount,\n difference,\n mainReportSense(row, difference),\n normalizeText(row.status || 'Riesgo').toUpperCase(),\n '',\n ];\n });\n\nconst nominaVsBancoValues = [\n [\n 'GOMEZLEE MARKETING',\n '',\n '',\n '',\n '',\n '',\n '',\n '',\n '',\n ],\n [\n mainReportSubtitle,\n '',\n '',\n '',\n '',\n '',\n '',\n '',\n '',\n ],\n ['', '', '', '', '', '', '', '', ''],\n nominaVsBancoHeader,\n ...mainReportRows,\n];\n\nconst bancoSinNominaHeader = [\n 'Empleado Banco',\n 'Cuenta Banco',\n 'Moneda',\n 'Monto Banco',\n 'Estado',\n 'Observación',\n 'Resolución',\n];\n\nconst bancoSinNominaRows = rows\n .filter((row) => row.category === 'banco_sin_nomina')\n .map((row) => [\n normalizeText(row.employee_name || row.employee || ''),\n normalizeText(\n row.bank_account ||\n row.bankAccount ||\n row.account ||\n ''\n ),\n normalizeText(row.currency || 'QTZ'),\n roundMoney(row.bank_amount ?? row.bankAmount ?? 0),\n normalizeText(row.status || ''),\n normalizeText(row.observation || ''),\n '',\n ]);\n\nconst bancoSinBambooHeader = [\n '#',\n 'Nombre en banco',\n 'Nombre del cuentahabiente',\n 'Cuenta',\n 'Monto en banco (Q)',\n 'Número de envío',\n 'Estado',\n 'Resolución',\n];\n\nconst bancoSinBambooRows = bankWithoutBamboo.map((row, index) => [\n index + 1,\n normalizeText(row.bank_name_file || row.employee_name || ''),\n normalizeText(row.bank_account_holder || ''),\n normalizeText(\n row.bank_account ||\n row.bankAccount ||\n row.account ||\n ''\n ),\n roundMoney(row.bank_amount ?? row.bankAmount ?? 0),\n firstValue(row.shipment_numbers || row.shipment_number || ''),\n 'PENDIENTE REVISIÓN',\n '',\n]);\n\nconst bancoSinBambooValues = [\n [\n 'GOMEZLEE MARKETING',\n '',\n '',\n '',\n '',\n '',\n '',\n '',\n ],\n [\n bancoSinBambooSubtitle,\n '',\n '',\n '',\n '',\n '',\n '',\n '',\n ],\n ['', '', '', '', '', '', '', ''],\n bancoSinBambooHeader,\n ...bancoSinBambooRows,\n];\n\nconst diferenciasNombreHeader = [\n 'Nombre en Archivo',\n 'Nombre del Cuentahabiente',\n 'Cuenta Destino',\n 'Moneda',\n 'Monto',\n 'Número de envío',\n 'Número de plan',\n 'Archivo',\n 'Estado',\n 'Observación',\n 'Resolución',\n];\n\nconst diferenciasNombreRows = rows\n .filter((row) => row.category === 'diferencia_nombre_banco')\n .map((row) => [\n normalizeText(row.bank_name_file || row.employee_name || ''),\n normalizeText(row.bank_account_holder || ''),\n normalizeText(\n row.bank_account ||\n row.bankAccount ||\n row.account ||\n ''\n ),\n normalizeText(row.currency || 'QTZ'),\n roundMoney(row.bank_amount ?? row.bankAmount ?? 0),\n normalizeText(row.shipment_number || ''),\n normalizeText(row.plan_number || ''),\n normalizeText(row.source_file || ''),\n normalizeText(row.status || ''),\n normalizeText(row.observation || ''),\n '',\n ]);\n\n\nfunction accountValues(value) {\n const values = Array.isArray(value)\n ? value\n : String(value ?? '')\n .split(/\\s*(?:\\/|;|,|\\by\\b)\\s*/i);\n\n return values\n .map((item) =>\n String(item ?? '')\n .replace(/\\.0$/g, '')\n .replace(/\\D/g, '')\n .trim()\n )\n .filter((item) =>\n item.length >= 7 &&\n !/^0+$/.test(item)\n );\n}\n\nfunction payrollAccountsForWrongAccount(row) {\n const candidates = [\n row.payroll_account,\n row.payrollAccount,\n ...(Array.isArray(row.source_rows)\n ? row.source_rows.flatMap((sourceRow) => [\n sourceRow.account,\n sourceRow.payroll_account,\n sourceRow.payrollAccount,\n ])\n : []),\n ];\n\n return Array.from(new Set(\n candidates.flatMap(accountValues)\n ));\n}\n\nfunction bankAccountForWrongAccount(row) {\n return firstValue(\n row.bank_account ||\n row.bankAccount ||\n row.account ||\n ''\n );\n}\n\nfunction wrongAccountTotalStatus(row) {\n const payrollAmount = roundMoney(\n row.payroll_amount ?? row.payrollAmount ?? 0\n );\n const bankAmount = roundMoney(\n row.bank_amount ?? row.bankAmount ?? 0\n );\n const difference = roundMoney(\n payrollAmount - bankAmount\n );\n\n if (Math.abs(difference) <= 0.02) {\n return 'El total de nómina coincide con el total del banco.';\n }\n\n if (difference > 0) {\n return (\n `El total de nómina supera el total del banco por ` +\n `Q${Math.abs(difference).toLocaleString('en-US', {\n minimumFractionDigits: 2,\n maximumFractionDigits: 2,\n })}.`\n );\n }\n\n return (\n `El total pagado por el banco supera el total de nómina por ` +\n `Q${Math.abs(difference).toLocaleString('en-US', {\n minimumFractionDigits: 2,\n maximumFractionDigits: 2,\n })}.`\n );\n}\n\nfunction wrongAccountFinding(row) {\n const existing = normalizeText(row.observation || '');\n\n if (existing) {\n return existing;\n }\n\n const payrollAccounts =\n payrollAccountsForWrongAccount(row);\n const bankAccount =\n bankAccountForWrongAccount(row);\n\n return (\n `El empleado presenta una posible inconsistencia entre ` +\n `la cuenta registrada en nómina ` +\n `(${payrollAccounts.join(' y ') || 'sin cuenta identificada'}) ` +\n `y la cuenta utilizada por el banco ` +\n `(${bankAccount || 'sin cuenta identificada'}).`\n );\n}\n\nconst cuentaMalDigitadaHeader = [\n '#',\n 'Campo',\n 'Detalle',\n 'Resolución',\n];\n\nconst cuentaMalDigitadaRows = [];\n\nfor (\n let index = 0;\n index < cuentaMalDigitadaCases.length;\n index++\n) {\n const row = cuentaMalDigitadaCases[index];\n const payrollAccounts =\n payrollAccountsForWrongAccount(row);\n const bankAccount =\n bankAccountForWrongAccount(row);\n\n const fields = [\n [\n 'Empleado',\n normalizeText(\n row.employee_name ||\n row.employee ||\n ''\n ),\n ],\n [\n 'Cuentas registradas en las hojas de nómina',\n payrollAccounts.join(' y ') ||\n 'No se identificó una cuenta válida en la nómina.',\n ],\n [\n 'Cuenta utilizada por el banco',\n bankAccount ||\n 'No se identificó una cuenta válida en el banco.',\n ],\n [\n 'Estado del total',\n wrongAccountTotalStatus(row),\n ],\n [\n 'Hallazgo',\n wrongAccountFinding(row),\n ],\n [\n 'Clasificación',\n 'Posible cuenta mal digitada — revisar y unificar la cuenta en las hojas de nómina.',\n ],\n ];\n\n fields.forEach((field, fieldIndex) => {\n cuentaMalDigitadaRows.push([\n fieldIndex === 0 ? index + 1 : '',\n field[0],\n field[1],\n '',\n ]);\n });\n}\n\nconst cuentaMalDigitadaValues = [\n [\n 'GOMEZLEE MARKETING',\n '',\n '',\n '',\n ],\n [\n cuentaMalDigitadaSubtitle,\n '',\n '',\n '',\n ],\n ['', '', '', ''],\n cuentaMalDigitadaHeader,\n ...cuentaMalDigitadaRows,\n];\n\nconst resumenHeader = ['Indicador', 'Valor'];\nconst resumenRows = [\n ['Período', periodLabel],\n ['Coincidencias', Number(summary.coincidencias || 0)],\n ['Discrepancias', Number(summary.discrepancias || 0)],\n ['Banco sin nómina', Number(summary.bancoSinNomina || 0)],\n ['Banco sin Bamboo', Number(summary.bancoSinBamboo || 0)],\n ['Nómina sin cuenta', Number(summary.nominaSinCuenta || 0)],\n [\n 'Diferencias nombre banco',\n Number(summary.diferenciasNombreBanco || 0),\n ],\n [\n 'Posibles cuentas mal digitadas',\n Number(summary.posiblesCuentasMalDigitadas || 0),\n ],\n ['Pendientes cruce principal', Number(summary.pendientes || 0)],\n [\n 'Empleados BambooHR Guatemala',\n Number(summary.empleadosBambooGT || 0),\n ],\n [\n 'Empleados BambooHR en el período',\n Number(summary.empleadosBambooEnPeriodo || 0),\n ],\n ['Filas válidas de nómina', Number(summary.filasNominaValidas || 0)],\n [\n 'Suplementos adjuntados',\n Number(summary.suplementosNominaAdjuntados || 0),\n ],\n [\n 'Suplementos sin coincidencia',\n Number(summary.suplementosNominaNoAdjuntados || 0),\n ],\n ['Transacciones bancarias', Number(summary.transaccionesBanco || 0)],\n ['Total nómina', roundMoney(summary.totalNomina || 0)],\n ['Total banco', roundMoney(summary.totalBanco || 0)],\n ['Diferencia total', roundMoney(summary.diferenciaTotal || 0)],\n];\n\nfunction buildSheetValues(header, bodyRows) {\n return [header, ...bodyRows];\n}\n\nconst valueData = [\n {\n range: `'${sheetTitles.nominaVsBanco}'!A1:I`,\n values: nominaVsBancoValues,\n },\n {\n range: `'${sheetTitles.bancoSinNomina}'!A1:G`,\n values: buildSheetValues(\n bancoSinNominaHeader,\n bancoSinNominaRows\n ),\n },\n {\n range: `'${sheetTitles.bancoSinBamboo}'!A1:H`,\n values: bancoSinBambooValues,\n },\n {\n range: `'${sheetTitles.diferenciasNombreBanco}'!A1:K`,\n values: buildSheetValues(\n diferenciasNombreHeader,\n diferenciasNombreRows\n ),\n },\n ...(hasCuentaMalDigitada\n ? [\n {\n range:\n `'${sheetTitles.cuentaMalDigitada}'!A1:D`,\n values: cuentaMalDigitadaValues,\n },\n ]\n : []),\n {\n range: `'${sheetTitles.resumen}'!A1:B`,\n values: buildSheetValues(\n resumenHeader,\n resumenRows\n ),\n },\n];\n\nfunction headerFormatRequest(\n sheetId,\n endColumnIndex,\n startRowIndex = 0\n) {\n return {\n repeatCell: {\n range: {\n sheetId,\n startRowIndex,\n endRowIndex: startRowIndex + 1,\n startColumnIndex: 0,\n endColumnIndex,\n },\n cell: {\n userEnteredFormat: {\n backgroundColor: {\n red: 0.29,\n green: 0.49,\n blue: 0.58,\n },\n textFormat: {\n bold: true,\n foregroundColor: {\n red: 1,\n green: 1,\n blue: 1,\n },\n },\n horizontalAlignment: 'CENTER',\n verticalAlignment: 'MIDDLE',\n wrapStrategy: 'WRAP',\n },\n },\n fields:\n 'userEnteredFormat(backgroundColor,textFormat,horizontalAlignment,verticalAlignment,wrapStrategy)',\n },\n };\n}\n\nfunction freezeHeaderRequest(sheetId, frozenRowCount = 1) {\n return {\n updateSheetProperties: {\n properties: {\n sheetId,\n gridProperties: {\n frozenRowCount,\n },\n },\n fields: 'gridProperties.frozenRowCount',\n },\n };\n}\n\nfunction autoResizeRequest(sheetId, endColumnIndex) {\n return {\n autoResizeDimensions: {\n dimensions: {\n sheetId,\n dimension: 'COLUMNS',\n startIndex: 0,\n endIndex: endColumnIndex,\n },\n },\n };\n}\n\nfunction moneyFormatRequest(\n sheetId,\n startColumnIndex,\n endColumnIndex,\n startRowIndex = 1,\n pattern = '#,##0.00',\n endRowIndex = null\n) {\n const range = {\n sheetId,\n startRowIndex,\n startColumnIndex,\n endColumnIndex,\n };\n\n if (Number.isInteger(endRowIndex)) {\n range.endRowIndex = endRowIndex;\n }\n\n return {\n repeatCell: {\n range,\n cell: {\n userEnteredFormat: {\n numberFormat: {\n type: 'NUMBER',\n pattern,\n },\n },\n },\n fields: 'userEnteredFormat.numberFormat',\n },\n };\n}\n\nfunction basicFilterRequest(\n sheetId,\n endColumnIndex,\n startRowIndex = 0,\n endRowIndex = null\n) {\n const range = {\n sheetId,\n startRowIndex,\n startColumnIndex: 0,\n endColumnIndex,\n };\n\n if (Number.isInteger(endRowIndex)) {\n range.endRowIndex = endRowIndex;\n }\n\n return {\n setBasicFilter: {\n filter: {\n range,\n },\n },\n };\n}\n\nfunction mergeRowRequest(\n sheetId,\n rowIndex,\n endColumnIndex\n) {\n return {\n mergeCells: {\n range: {\n sheetId,\n startRowIndex: rowIndex,\n endRowIndex: rowIndex + 1,\n startColumnIndex: 0,\n endColumnIndex,\n },\n mergeType: 'MERGE_ALL',\n },\n };\n}\n\nfunction titleRowFormatRequest(\n sheetId,\n rowIndex,\n endColumnIndex,\n options = {}\n) {\n const {\n fontSize = 12,\n bold = true,\n italic = false,\n horizontalAlignment = 'LEFT',\n } = options;\n\n return {\n repeatCell: {\n range: {\n sheetId,\n startRowIndex: rowIndex,\n endRowIndex: rowIndex + 1,\n startColumnIndex: 0,\n endColumnIndex,\n },\n cell: {\n userEnteredFormat: {\n backgroundColor: {\n red: 0.29,\n green: 0.49,\n blue: 0.58,\n },\n textFormat: {\n bold,\n italic,\n fontSize,\n foregroundColor: {\n red: 1,\n green: 1,\n blue: 1,\n },\n },\n horizontalAlignment,\n verticalAlignment: 'MIDDLE',\n },\n },\n fields:\n 'userEnteredFormat(backgroundColor,textFormat,horizontalAlignment,verticalAlignment)',\n },\n };\n}\n\nfunction columnWidthRequest(\n sheetId,\n startIndex,\n endIndex,\n pixelSize\n) {\n return {\n updateDimensionProperties: {\n range: {\n sheetId,\n dimension: 'COLUMNS',\n startIndex,\n endIndex,\n },\n properties: {\n pixelSize,\n },\n fields: 'pixelSize',\n },\n };\n}\n\nfunction rowHeightRequest(\n sheetId,\n startIndex,\n endIndex,\n pixelSize\n) {\n return {\n updateDimensionProperties: {\n range: {\n sheetId,\n dimension: 'ROWS',\n startIndex,\n endIndex,\n },\n properties: {\n pixelSize,\n },\n fields: 'pixelSize',\n },\n };\n}\n\nfunction bodyAlignmentRequest(\n sheetId,\n startColumnIndex,\n endColumnIndex,\n horizontalAlignment,\n endRowIndex\n) {\n return {\n repeatCell: {\n range: {\n sheetId,\n startRowIndex: 4,\n endRowIndex,\n startColumnIndex,\n endColumnIndex,\n },\n cell: {\n userEnteredFormat: {\n horizontalAlignment,\n verticalAlignment: 'MIDDLE',\n wrapStrategy: 'WRAP',\n },\n },\n fields:\n 'userEnteredFormat(horizontalAlignment,verticalAlignment,wrapStrategy)',\n },\n };\n}\n\nfunction statusFormatRequest(sheetId, endRowIndex) {\n return {\n repeatCell: {\n range: {\n sheetId,\n startRowIndex: 4,\n endRowIndex,\n startColumnIndex: 7,\n endColumnIndex: 8,\n },\n cell: {\n userEnteredFormat: {\n backgroundColor: {\n red: 1,\n green: 0.92,\n blue: 0.92,\n },\n textFormat: {\n bold: true,\n foregroundColor: {\n red: 0.85,\n green: 0.08,\n blue: 0.08,\n },\n },\n horizontalAlignment: 'CENTER',\n verticalAlignment: 'MIDDLE',\n },\n },\n fields:\n 'userEnteredFormat(backgroundColor,textFormat,horizontalAlignment,verticalAlignment)',\n },\n };\n}\n\nfunction bambooStatusFormatRequest(\n sheetId,\n endRowIndex\n) {\n return {\n repeatCell: {\n range: {\n sheetId,\n startRowIndex: 4,\n endRowIndex,\n startColumnIndex: 6,\n endColumnIndex: 7,\n },\n cell: {\n userEnteredFormat: {\n backgroundColor: {\n red: 1,\n green: 0.97,\n blue: 0.82,\n },\n textFormat: {\n bold: true,\n foregroundColor: {\n red: 0.70,\n green: 0.30,\n blue: 0.00,\n },\n },\n horizontalAlignment: 'CENTER',\n verticalAlignment: 'MIDDLE',\n wrapStrategy: 'WRAP',\n },\n },\n fields:\n 'userEnteredFormat(backgroundColor,textFormat,horizontalAlignment,verticalAlignment,wrapStrategy)',\n },\n };\n}\n\n\nfunction mergeVerticalRequest(\n sheetId,\n startRowIndex,\n endRowIndex,\n columnIndex\n) {\n return {\n mergeCells: {\n range: {\n sheetId,\n startRowIndex,\n endRowIndex,\n startColumnIndex: columnIndex,\n endColumnIndex: columnIndex + 1,\n },\n mergeType: 'MERGE_ALL',\n },\n };\n}\n\nfunction rangeFormatRequest(\n sheetId,\n startRowIndex,\n endRowIndex,\n startColumnIndex,\n endColumnIndex,\n userEnteredFormat\n) {\n return {\n repeatCell: {\n range: {\n sheetId,\n startRowIndex,\n endRowIndex,\n startColumnIndex,\n endColumnIndex,\n },\n cell: {\n userEnteredFormat,\n },\n fields:\n 'userEnteredFormat(backgroundColor,textFormat,horizontalAlignment,verticalAlignment,wrapStrategy)',\n },\n };\n}\n\nfunction conditionalDifferenceRequest(\n sheetId,\n formula,\n backgroundColor,\n textColor,\n ranges,\n index\n) {\n return {\n addConditionalFormatRule: {\n index,\n rule: {\n ranges,\n booleanRule: {\n condition: {\n type: 'CUSTOM_FORMULA',\n values: [\n {\n userEnteredValue: formula,\n },\n ],\n },\n format: {\n backgroundColor,\n textFormat: {\n bold: true,\n foregroundColor: textColor,\n },\n },\n },\n },\n },\n };\n}\n\nfunction borderRequest(\n sheetId,\n startRowIndex,\n endRowIndex,\n endColumnIndex\n) {\n const border = {\n style: 'SOLID',\n color: {\n red: 0.72,\n green: 0.82,\n blue: 0.76,\n },\n };\n\n return {\n updateBorders: {\n range: {\n sheetId,\n startRowIndex,\n endRowIndex,\n startColumnIndex: 0,\n endColumnIndex,\n },\n top: border,\n bottom: border,\n left: border,\n right: border,\n innerHorizontal: border,\n innerVertical: border,\n },\n };\n}\n\nconst mainReportEndRow = Math.max(\n 4 + mainReportRows.length,\n 4\n);\n\nconst bancoSinBambooEndRow = Math.max(\n 4 + bancoSinBambooRows.length,\n 4\n);\n\nconst mainConditionalRanges = mainReportRows.length\n ? [\n {\n sheetId: sheetIds.nominaVsBanco,\n startRowIndex: 4,\n endRowIndex: mainReportEndRow,\n startColumnIndex: 5,\n endColumnIndex: 7,\n },\n ]\n : [];\n\nconst mainDataFormatRequests = mainReportRows.length\n ? [\n moneyFormatRequest(\n sheetIds.nominaVsBanco,\n 3,\n 6,\n 4,\n 'Q#,##0.00;[Red](Q#,##0.00)',\n mainReportEndRow\n ),\n bodyAlignmentRequest(\n sheetIds.nominaVsBanco,\n 0,\n 1,\n 'CENTER',\n mainReportEndRow\n ),\n bodyAlignmentRequest(\n sheetIds.nominaVsBanco,\n 1,\n 2,\n 'LEFT',\n mainReportEndRow\n ),\n bodyAlignmentRequest(\n sheetIds.nominaVsBanco,\n 2,\n 3,\n 'CENTER',\n mainReportEndRow\n ),\n bodyAlignmentRequest(\n sheetIds.nominaVsBanco,\n 3,\n 6,\n 'RIGHT',\n mainReportEndRow\n ),\n bodyAlignmentRequest(\n sheetIds.nominaVsBanco,\n 6,\n 8,\n 'CENTER',\n mainReportEndRow\n ),\n bodyAlignmentRequest(\n sheetIds.nominaVsBanco,\n 8,\n 9,\n 'LEFT',\n mainReportEndRow\n ),\n statusFormatRequest(\n sheetIds.nominaVsBanco,\n mainReportEndRow\n ),\n conditionalDifferenceRequest(\n sheetIds.nominaVsBanco,\n '=$F5>0',\n {\n red: 1,\n green: 0.97,\n blue: 0.82,\n },\n {\n red: 0.25,\n green: 0.25,\n blue: 0.25,\n },\n mainConditionalRanges,\n 0\n ),\n conditionalDifferenceRequest(\n sheetIds.nominaVsBanco,\n '=$F5<0',\n {\n red: 1,\n green: 0.89,\n blue: 0.89,\n },\n {\n red: 0.9,\n green: 0.05,\n blue: 0.05,\n },\n mainConditionalRanges,\n 1\n ),\n rowHeightRequest(\n sheetIds.nominaVsBanco,\n 4,\n mainReportEndRow,\n 28\n ),\n ]\n : [];\n\n\nconst cuentaMalDigitadaEndRow = Math.max(\n 4 + cuentaMalDigitadaRows.length,\n 4\n);\n\nconst cuentaMalDigitadaCaseRequests =\n hasCuentaMalDigitada\n ? cuentaMalDigitadaCases.flatMap(\n (_, caseIndex) => {\n const startRowIndex =\n 4 + caseIndex * 6;\n const endRowIndex =\n startRowIndex + 6;\n\n return [\n mergeVerticalRequest(\n sheetIds.cuentaMalDigitada,\n startRowIndex,\n endRowIndex,\n 0\n ),\n mergeVerticalRequest(\n sheetIds.cuentaMalDigitada,\n startRowIndex,\n endRowIndex,\n 3\n ),\n rowHeightRequest(\n sheetIds.cuentaMalDigitada,\n startRowIndex,\n startRowIndex + 4,\n 34\n ),\n rowHeightRequest(\n sheetIds.cuentaMalDigitada,\n startRowIndex + 4,\n startRowIndex + 5,\n 76\n ),\n rowHeightRequest(\n sheetIds.cuentaMalDigitada,\n startRowIndex + 5,\n endRowIndex,\n 54\n ),\n rangeFormatRequest(\n sheetIds.cuentaMalDigitada,\n startRowIndex + 4,\n startRowIndex + 5,\n 2,\n 3,\n {\n backgroundColor: {\n red: 0.97,\n green: 0.97,\n blue: 0.97,\n },\n horizontalAlignment: 'LEFT',\n verticalAlignment: 'MIDDLE',\n wrapStrategy: 'WRAP',\n }\n ),\n rangeFormatRequest(\n sheetIds.cuentaMalDigitada,\n startRowIndex + 5,\n endRowIndex,\n 2,\n 3,\n {\n backgroundColor: {\n red: 1,\n green: 0.97,\n blue: 0.82,\n },\n textFormat: {\n bold: true,\n foregroundColor: {\n red: 0.55,\n green: 0.30,\n blue: 0.00,\n },\n },\n horizontalAlignment: 'LEFT',\n verticalAlignment: 'MIDDLE',\n wrapStrategy: 'WRAP',\n }\n ),\n ];\n }\n )\n : [];\n\nconst cuentaMalDigitadaFormatRequests =\n hasCuentaMalDigitada\n ? [\n mergeRowRequest(\n sheetIds.cuentaMalDigitada,\n 0,\n 4\n ),\n mergeRowRequest(\n sheetIds.cuentaMalDigitada,\n 1,\n 4\n ),\n titleRowFormatRequest(\n sheetIds.cuentaMalDigitada,\n 0,\n 4,\n {\n fontSize: 12,\n bold: true,\n italic: false,\n horizontalAlignment: 'LEFT',\n }\n ),\n titleRowFormatRequest(\n sheetIds.cuentaMalDigitada,\n 1,\n 4,\n {\n fontSize: 10,\n bold: false,\n italic: true,\n horizontalAlignment: 'LEFT',\n }\n ),\n headerFormatRequest(\n sheetIds.cuentaMalDigitada,\n 4,\n 3\n ),\n freezeHeaderRequest(\n sheetIds.cuentaMalDigitada,\n 4\n ),\n borderRequest(\n sheetIds.cuentaMalDigitada,\n 3,\n cuentaMalDigitadaEndRow,\n 4\n ),\n rowHeightRequest(\n sheetIds.cuentaMalDigitada,\n 0,\n 1,\n 30\n ),\n rowHeightRequest(\n sheetIds.cuentaMalDigitada,\n 1,\n 2,\n 26\n ),\n rowHeightRequest(\n sheetIds.cuentaMalDigitada,\n 3,\n 4,\n 40\n ),\n rangeFormatRequest(\n sheetIds.cuentaMalDigitada,\n 4,\n cuentaMalDigitadaEndRow,\n 0,\n 1,\n {\n backgroundColor: {\n red: 0.91,\n green: 0.95,\n blue: 0.99,\n },\n textFormat: {\n bold: true,\n foregroundColor: {\n red: 0.20,\n green: 0.36,\n blue: 0.45,\n },\n },\n horizontalAlignment: 'CENTER',\n verticalAlignment: 'MIDDLE',\n wrapStrategy: 'WRAP',\n }\n ),\n rangeFormatRequest(\n sheetIds.cuentaMalDigitada,\n 4,\n cuentaMalDigitadaEndRow,\n 1,\n 2,\n {\n backgroundColor: {\n red: 0.93,\n green: 0.97,\n blue: 0.90,\n },\n textFormat: {\n bold: true,\n foregroundColor: {\n red: 0.20,\n green: 0.36,\n blue: 0.45,\n },\n },\n horizontalAlignment: 'LEFT',\n verticalAlignment: 'MIDDLE',\n wrapStrategy: 'WRAP',\n }\n ),\n rangeFormatRequest(\n sheetIds.cuentaMalDigitada,\n 4,\n cuentaMalDigitadaEndRow,\n 2,\n 3,\n {\n horizontalAlignment: 'LEFT',\n verticalAlignment: 'MIDDLE',\n wrapStrategy: 'WRAP',\n }\n ),\n rangeFormatRequest(\n sheetIds.cuentaMalDigitada,\n 4,\n cuentaMalDigitadaEndRow,\n 3,\n 4,\n {\n horizontalAlignment: 'LEFT',\n verticalAlignment: 'MIDDLE',\n wrapStrategy: 'WRAP',\n }\n ),\n columnWidthRequest(\n sheetIds.cuentaMalDigitada,\n 0,\n 1,\n 48\n ),\n columnWidthRequest(\n sheetIds.cuentaMalDigitada,\n 1,\n 2,\n 285\n ),\n columnWidthRequest(\n sheetIds.cuentaMalDigitada,\n 2,\n 3,\n 520\n ),\n columnWidthRequest(\n sheetIds.cuentaMalDigitada,\n 3,\n 4,\n 260\n ),\n ...cuentaMalDigitadaCaseRequests,\n ]\n : [];\n\n\nfunction wrapRangeRequest(\n sheetId,\n startRowIndex,\n endRowIndex,\n startColumnIndex,\n endColumnIndex\n) {\n return {\n repeatCell: {\n range: {\n sheetId,\n startRowIndex,\n endRowIndex,\n startColumnIndex,\n endColumnIndex,\n },\n cell: {\n userEnteredFormat: {\n verticalAlignment: 'MIDDLE',\n wrapStrategy: 'WRAP',\n },\n },\n fields:\n 'userEnteredFormat(verticalAlignment,wrapStrategy)',\n },\n };\n}\n\nfunction autoResizeRowsRequest(\n sheetId,\n startIndex,\n endIndex\n) {\n return {\n autoResizeDimensions: {\n dimensions: {\n sheetId,\n dimension: 'ROWS',\n startIndex,\n endIndex,\n },\n },\n };\n}\n\nconst formatRequests = [\n mergeRowRequest(sheetIds.nominaVsBanco, 0, 9),\n mergeRowRequest(sheetIds.nominaVsBanco, 1, 9),\n titleRowFormatRequest(\n sheetIds.nominaVsBanco,\n 0,\n 9,\n {\n fontSize: 12,\n bold: true,\n italic: false,\n horizontalAlignment: 'LEFT',\n }\n ),\n titleRowFormatRequest(\n sheetIds.nominaVsBanco,\n 1,\n 9,\n {\n fontSize: 10,\n bold: false,\n italic: true,\n horizontalAlignment: 'LEFT',\n }\n ),\n headerFormatRequest(\n sheetIds.nominaVsBanco,\n 9,\n 3\n ),\n freezeHeaderRequest(\n sheetIds.nominaVsBanco,\n 4\n ),\n basicFilterRequest(\n sheetIds.nominaVsBanco,\n 9,\n 3,\n mainReportEndRow\n ),\n borderRequest(\n sheetIds.nominaVsBanco,\n 3,\n mainReportEndRow,\n 9\n ),\n rowHeightRequest(\n sheetIds.nominaVsBanco,\n 0,\n 1,\n 30\n ),\n rowHeightRequest(\n sheetIds.nominaVsBanco,\n 1,\n 2,\n 26\n ),\n rowHeightRequest(\n sheetIds.nominaVsBanco,\n 3,\n 4,\n 42\n ),\n ...mainDataFormatRequests,\n\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 0,\n 1,\n 48\n ),\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 1,\n 2,\n 260\n ),\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 2,\n 3,\n 130\n ),\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 3,\n 6,\n 130\n ),\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 6,\n 7,\n 155\n ),\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 7,\n 8,\n 110\n ),\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 8,\n 9,\n 260\n ),\n\n headerFormatRequest(sheetIds.bancoSinNomina, 7),\n freezeHeaderRequest(sheetIds.bancoSinNomina),\n autoResizeRequest(sheetIds.bancoSinNomina, 7),\n moneyFormatRequest(sheetIds.bancoSinNomina, 3, 4),\n basicFilterRequest(sheetIds.bancoSinNomina, 7),\n columnWidthRequest(\n sheetIds.bancoSinNomina,\n 6,\n 7,\n 260\n ),\n\n mergeRowRequest(sheetIds.bancoSinBamboo, 0, 8),\n mergeRowRequest(sheetIds.bancoSinBamboo, 1, 8),\n titleRowFormatRequest(\n sheetIds.bancoSinBamboo,\n 0,\n 8,\n {\n fontSize: 12,\n bold: true,\n italic: false,\n horizontalAlignment: 'LEFT',\n }\n ),\n titleRowFormatRequest(\n sheetIds.bancoSinBamboo,\n 1,\n 8,\n {\n fontSize: 10,\n bold: false,\n italic: true,\n horizontalAlignment: 'LEFT',\n }\n ),\n headerFormatRequest(\n sheetIds.bancoSinBamboo,\n 8,\n 3\n ),\n freezeHeaderRequest(\n sheetIds.bancoSinBamboo,\n 4\n ),\n basicFilterRequest(\n sheetIds.bancoSinBamboo,\n 8,\n 3,\n bancoSinBambooEndRow\n ),\n borderRequest(\n sheetIds.bancoSinBamboo,\n 3,\n bancoSinBambooEndRow,\n 8\n ),\n rowHeightRequest(\n sheetIds.bancoSinBamboo,\n 0,\n 1,\n 30\n ),\n rowHeightRequest(\n sheetIds.bancoSinBamboo,\n 1,\n 2,\n 26\n ),\n rowHeightRequest(\n sheetIds.bancoSinBamboo,\n 3,\n 4,\n 42\n ),\n moneyFormatRequest(\n sheetIds.bancoSinBamboo,\n 4,\n 5,\n 4,\n 'Q#,##0.00',\n bancoSinBambooEndRow\n ),\n bodyAlignmentRequest(\n sheetIds.bancoSinBamboo,\n 0,\n 1,\n 'CENTER',\n bancoSinBambooEndRow\n ),\n bodyAlignmentRequest(\n sheetIds.bancoSinBamboo,\n 1,\n 3,\n 'LEFT',\n bancoSinBambooEndRow\n ),\n bodyAlignmentRequest(\n sheetIds.bancoSinBamboo,\n 3,\n 4,\n 'CENTER',\n bancoSinBambooEndRow\n ),\n bodyAlignmentRequest(\n sheetIds.bancoSinBamboo,\n 4,\n 5,\n 'RIGHT',\n bancoSinBambooEndRow\n ),\n bodyAlignmentRequest(\n sheetIds.bancoSinBamboo,\n 5,\n 7,\n 'CENTER',\n bancoSinBambooEndRow\n ),\n bodyAlignmentRequest(\n sheetIds.bancoSinBamboo,\n 7,\n 8,\n 'LEFT',\n bancoSinBambooEndRow\n ),\n bambooStatusFormatRequest(\n sheetIds.bancoSinBamboo,\n bancoSinBambooEndRow\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 0,\n 1,\n 48\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 1,\n 2,\n 220\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 2,\n 3,\n 270\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 3,\n 4,\n 135\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 4,\n 5,\n 130\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 5,\n 6,\n 110\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 6,\n 7,\n 140\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 7,\n 8,\n 260\n ),\n\n headerFormatRequest(\n sheetIds.diferenciasNombreBanco,\n 11\n ),\n freezeHeaderRequest(\n sheetIds.diferenciasNombreBanco\n ),\n autoResizeRequest(\n sheetIds.diferenciasNombreBanco,\n 11\n ),\n moneyFormatRequest(\n sheetIds.diferenciasNombreBanco,\n 4,\n 5\n ),\n basicFilterRequest(\n sheetIds.diferenciasNombreBanco,\n 11\n ),\n columnWidthRequest(\n sheetIds.diferenciasNombreBanco,\n 10,\n 11,\n 260\n ),\n\n ...cuentaMalDigitadaFormatRequests,\n\n headerFormatRequest(sheetIds.resumen, 2),\n freezeHeaderRequest(sheetIds.resumen),\n autoResizeRequest(sheetIds.resumen, 2),\n moneyFormatRequest(sheetIds.resumen, 1, 2),\n];\n\n\nconst bancoSinNominaEndRow =\n 1 + bancoSinNominaRows.length;\n\nconst diferenciasNombreEndRow =\n 1 + diferenciasNombreRows.length;\n\nconst resumenReadabilityEndRow =\n 1 + resumenRows.length;\n\n/*\n * Ajuste final de legibilidad.\n *\n * Se ejecuta al final para que los anchos definitivos ya estén aplicados\n * cuando Google Sheets calcule automáticamente la altura de cada fila.\n * Así, cualquier texto largo queda envuelto y visible sin que el usuario\n * tenga que expandir columnas o filas manualmente.\n */\nformatRequests.push(\n // 01 Nómina vs Banco\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 1,\n 2,\n 300\n ),\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 2,\n 3,\n 150\n ),\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 3,\n 6,\n 145\n ),\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 6,\n 7,\n 220\n ),\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 7,\n 8,\n 140\n ),\n columnWidthRequest(\n sheetIds.nominaVsBanco,\n 8,\n 9,\n 320\n ),\n ...(mainReportRows.length > 0\n ? [\n wrapRangeRequest(\n sheetIds.nominaVsBanco,\n 4,\n mainReportEndRow,\n 0,\n 9\n ),\n autoResizeRowsRequest(\n sheetIds.nominaVsBanco,\n 4,\n mainReportEndRow\n ),\n ]\n : []),\n\n // 02 Banco sin Nómina\n columnWidthRequest(\n sheetIds.bancoSinNomina,\n 0,\n 1,\n 320\n ),\n columnWidthRequest(\n sheetIds.bancoSinNomina,\n 1,\n 2,\n 165\n ),\n columnWidthRequest(\n sheetIds.bancoSinNomina,\n 2,\n 3,\n 95\n ),\n columnWidthRequest(\n sheetIds.bancoSinNomina,\n 3,\n 4,\n 140\n ),\n columnWidthRequest(\n sheetIds.bancoSinNomina,\n 4,\n 5,\n 170\n ),\n columnWidthRequest(\n sheetIds.bancoSinNomina,\n 5,\n 6,\n 560\n ),\n columnWidthRequest(\n sheetIds.bancoSinNomina,\n 6,\n 7,\n 320\n ),\n autoResizeRowsRequest(\n sheetIds.bancoSinNomina,\n 0,\n 1\n ),\n ...(bancoSinNominaRows.length > 0\n ? [\n wrapRangeRequest(\n sheetIds.bancoSinNomina,\n 1,\n bancoSinNominaEndRow,\n 0,\n 7\n ),\n autoResizeRowsRequest(\n sheetIds.bancoSinNomina,\n 1,\n bancoSinNominaEndRow\n ),\n ]\n : []),\n\n // 03 Banco sin Bamboo\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 1,\n 2,\n 300\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 2,\n 3,\n 330\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 3,\n 4,\n 150\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 4,\n 5,\n 145\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 5,\n 6,\n 150\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 6,\n 7,\n 170\n ),\n columnWidthRequest(\n sheetIds.bancoSinBamboo,\n 7,\n 8,\n 320\n ),\n ...(bancoSinBambooRows.length > 0\n ? [\n wrapRangeRequest(\n sheetIds.bancoSinBamboo,\n 4,\n bancoSinBambooEndRow,\n 0,\n 8\n ),\n autoResizeRowsRequest(\n sheetIds.bancoSinBamboo,\n 4,\n bancoSinBambooEndRow\n ),\n ]\n : []),\n\n // 04 Diferencias nombre banco\n columnWidthRequest(\n sheetIds.diferenciasNombreBanco,\n 0,\n 1,\n 300\n ),\n columnWidthRequest(\n sheetIds.diferenciasNombreBanco,\n 1,\n 2,\n 330\n ),\n columnWidthRequest(\n sheetIds.diferenciasNombreBanco,\n 2,\n 3,\n 155\n ),\n columnWidthRequest(\n sheetIds.diferenciasNombreBanco,\n 3,\n 4,\n 95\n ),\n columnWidthRequest(\n sheetIds.diferenciasNombreBanco,\n 4,\n 5,\n 140\n ),\n columnWidthRequest(\n sheetIds.diferenciasNombreBanco,\n 5,\n 7,\n 150\n ),\n columnWidthRequest(\n sheetIds.diferenciasNombreBanco,\n 7,\n 8,\n 260\n ),\n columnWidthRequest(\n sheetIds.diferenciasNombreBanco,\n 8,\n 9,\n 170\n ),\n columnWidthRequest(\n sheetIds.diferenciasNombreBanco,\n 9,\n 10,\n 650\n ),\n columnWidthRequest(\n sheetIds.diferenciasNombreBanco,\n 10,\n 11,\n 320\n ),\n autoResizeRowsRequest(\n sheetIds.diferenciasNombreBanco,\n 0,\n 1\n ),\n ...(diferenciasNombreRows.length > 0\n ? [\n wrapRangeRequest(\n sheetIds.diferenciasNombreBanco,\n 1,\n diferenciasNombreEndRow,\n 0,\n 11\n ),\n autoResizeRowsRequest(\n sheetIds.diferenciasNombreBanco,\n 1,\n diferenciasNombreEndRow\n ),\n ]\n : []),\n\n // 05 Cuenta Mal Digitada\n ...(hasCuentaMalDigitada\n ? [\n columnWidthRequest(\n sheetIds.cuentaMalDigitada,\n 1,\n 2,\n 300\n ),\n columnWidthRequest(\n sheetIds.cuentaMalDigitada,\n 2,\n 3,\n 600\n ),\n columnWidthRequest(\n sheetIds.cuentaMalDigitada,\n 3,\n 4,\n 320\n ),\n ]\n : []),\n\n // Resumen\n columnWidthRequest(\n sheetIds.resumen,\n 0,\n 1,\n 380\n ),\n columnWidthRequest(\n sheetIds.resumen,\n 1,\n 2,\n 320\n ),\n autoResizeRowsRequest(\n sheetIds.resumen,\n 0,\n 1\n ),\n ...(resumenRows.length > 0\n ? [\n wrapRangeRequest(\n sheetIds.resumen,\n 1,\n resumenReadabilityEndRow,\n 0,\n 2\n ),\n autoResizeRowsRequest(\n sheetIds.resumen,\n 1,\n resumenReadabilityEndRow\n ),\n ]\n : [])\n);\n\n\n\n/*\n * Protección de integridad del reporte.\n *\n * La hoja completa queda protegida para impedir que los usuarios con acceso\n * al reporte modifiquen datos calculados, nombres, cuentas, montos, estados,\n * observaciones o cualquier otro resultado del cruce.\n *\n * Únicamente las celdas de datos de la columna \"Resolución\" quedan fuera de\n * la protección para que puedan completarse después de recibir el reporte.\n * Los encabezados y las filas fuera de la tabla permanecen protegidos.\n *\n * El propietario de la hoja conserva siempre el control. Además, el usuario\n * administrativo iaracena@gomezleemarketing.com queda registrado como editor explícito del\n * rango protegido para mantenimiento de IT.\n */\nfunction protectedSheetRequest(\n sheetId,\n description,\n resolutionColumnIndex = null,\n resolutionStartRowIndex = null,\n resolutionRowsCount = 0\n) {\n const protectedRange = {\n range: {\n sheetId,\n },\n description,\n warningOnly: false,\n editors: {\n users: [\n 'iaracena@gomezleemarketing.com',\n ],\n domainUsersCanEdit: false,\n },\n };\n\n if (\n Number.isInteger(resolutionColumnIndex) &&\n Number.isInteger(resolutionStartRowIndex) &&\n Number(resolutionRowsCount) > 0\n ) {\n protectedRange.unprotectedRanges = [\n {\n sheetId,\n startRowIndex:\n resolutionStartRowIndex,\n endRowIndex:\n resolutionStartRowIndex +\n Number(resolutionRowsCount),\n startColumnIndex:\n resolutionColumnIndex,\n endColumnIndex:\n resolutionColumnIndex + 1,\n },\n ];\n }\n\n return {\n addProtectedRange: {\n protectedRange,\n },\n };\n}\n\n\nformatRequests.push(\n protectedSheetRequest(\n sheetIds.nominaVsBanco,\n 'Protección GLM — datos del cruce. Solo Resolución es editable.',\n 8,\n 4,\n mainReportRows.length\n ),\n protectedSheetRequest(\n sheetIds.bancoSinNomina,\n 'Protección GLM — datos del cruce. Solo Resolución es editable.',\n 6,\n 1,\n bancoSinNominaRows.length\n ),\n protectedSheetRequest(\n sheetIds.bancoSinBamboo,\n 'Protección GLM — datos del cruce. Solo Resolución es editable.',\n 7,\n 4,\n bancoSinBambooRows.length\n ),\n protectedSheetRequest(\n sheetIds.diferenciasNombreBanco,\n 'Protección GLM — datos del cruce. Solo Resolución es editable.',\n 10,\n 1,\n diferenciasNombreRows.length\n ),\n ...(hasCuentaMalDigitada\n ? [\n protectedSheetRequest(\n sheetIds.cuentaMalDigitada,\n 'Protección GLM — datos del cruce. Solo Resolución es editable.',\n 3,\n 4,\n cuentaMalDigitadaRows.length\n ),\n ]\n : []),\n protectedSheetRequest(\n sheetIds.resumen,\n 'Protección GLM — hoja de resumen de solo lectura.'\n )\n);\n\n\nreturn [\n {\n json: {\n ok: true,\n stage: 'preparar_google_sheet',\n metadata,\n summary,\n spreadsheetTitle,\n sheetIds,\n sheetTitles,\n createSpreadsheetBody: {\n properties: {\n title: spreadsheetTitle,\n },\n sheets: [\n {\n properties: {\n sheetId: sheetIds.nominaVsBanco,\n title: sheetTitles.nominaVsBanco,\n },\n },\n {\n properties: {\n sheetId: sheetIds.bancoSinNomina,\n title: sheetTitles.bancoSinNomina,\n },\n },\n {\n properties: {\n sheetId: sheetIds.bancoSinBamboo,\n title: sheetTitles.bancoSinBamboo,\n },\n },\n {\n properties: {\n sheetId:\n sheetIds.diferenciasNombreBanco,\n title:\n sheetTitles.diferenciasNombreBanco,\n },\n },\n ...(hasCuentaMalDigitada\n ? [\n {\n properties: {\n sheetId:\n sheetIds.cuentaMalDigitada,\n title:\n sheetTitles.cuentaMalDigitada,\n },\n },\n ]\n : []),\n {\n properties: {\n sheetId: sheetIds.resumen,\n title: sheetTitles.resumen,\n },\n },\n ],\n },\n valueBatchBody: {\n valueInputOption: 'USER_ENTERED',\n data: valueData,\n },\n formatBatchBody: {\n requests: formatRequests,\n },\n originalResponse: data,\n },\n },\n];" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ - 22048, - 26512 + 45392, + 55408 ], - "id": "5c8239ca-2f93-41a3-be89-cb6fce94d2b2", + "id": "27c488e4-cca5-4aad-ba1f-6aaf7fe82ff4", "name": "Preparar Google Sheet" }, { "parameters": { "method": "POST", - "url": "https://sheets.googleapis.com/v4/spreadsheets", + "url": "={{ (() => { const lookup = $('Buscar reporte existente Supabase').first().json || {}; const report = lookup.report || {}; const id = String(report.spreadsheet_id || '').trim(); return (lookup.found === true && id) ? 'https://sheets.googleapis.com/v4/spreadsheets/' + id + ':batchUpdate' : 'https://sheets.googleapis.com/v4/spreadsheets'; })() }}", "authentication": "predefinedCredentialType", "nodeCredentialType": "googleOAuth2Api", "sendBody": true, "specifyBody": "json", - "jsonBody": "={{\n(() => {\n const prepared =\n $('Preparar Google Sheet').first().json || {};\n\n const createBody =\n prepared.createSpreadsheetBody || {};\n\n if (\n !Array.isArray(createBody.sheets) ||\n createBody.sheets.length === 0\n ) {\n throw new Error(\n 'Preparar Google Sheet no devolvió las hojas que deben crearse.'\n );\n }\n\n return {\n properties: {\n ...(createBody.properties || {}),\n timeZone: 'America/Guatemala',\n },\n\n sheets: createBody.sheets.map((sheet) => ({\n properties: {\n ...(sheet.properties || {}),\n\n gridProperties: {\n ...((sheet.properties || {}).gridProperties || {}),\n frozenRowCount: 1,\n },\n },\n })),\n };\n})()\n}}", + "jsonBody": "={{\n(() => {\n const prepared = $('Preparar Google Sheet').first().json || {};\n const lookup = $('Buscar reporte existente Supabase').first().json || {};\n const report = lookup.report || {};\n const existingId = String(report.spreadsheet_id || '').trim();\n\n if (lookup.found === true && existingId) {\n return {\n requests: [\n {\n updateSpreadsheetProperties: {\n properties: {\n title: prepared.spreadsheetTitle || prepared.createSpreadsheetBody?.properties?.title || 'Cruce de Cuentas GLM',\n },\n fields: 'title',\n },\n },\n ],\n };\n }\n\n const createBody = prepared.createSpreadsheetBody || {};\n\n if (!Array.isArray(createBody.sheets) || createBody.sheets.length === 0) {\n throw new Error('Preparar Google Sheet no devolvió las hojas que deben crearse.');\n }\n\n return {\n properties: {\n ...(createBody.properties || {}),\n timeZone: 'America/Guatemala',\n },\n sheets: createBody.sheets.map((sheet) => ({\n properties: {\n ...(sheet.properties || {}),\n gridProperties: {\n ...((sheet.properties || {}).gridProperties || {}),\n frozenRowCount: 1,\n },\n },\n })),\n };\n})()\n}}", "options": {} }, "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.4, "position": [ - 22256, - 26512 + 45632, + 55424 ], - "id": "937c7727-c0e4-49c7-ab93-199919b81763", + "id": "85e15474-e06c-44f3-9bae-b1166abd1bbd", "name": "Crear Google Sheet", "credentials": { "httpBasicAuth": { @@ -1784,21 +2101,23 @@ { "parameters": { "method": "POST", - "url": "={{ 'https://sheets.googleapis.com/v4/spreadsheets/' + $('Crear Google Sheet').first().json.spreadsheetId + '/values:batchUpdate' }}", + "url": "={{ 'https://sheets.googleapis.com/v4/spreadsheets/' + $('Preparar actualización Google Sheet').first().json.spreadsheetId + '/values:batchUpdate' }}", "authentication": "predefinedCredentialType", "nodeCredentialType": "googleOAuth2Api", "sendBody": true, "specifyBody": "json", - "jsonBody": "={{ $('Preparar Google Sheet').first().json.valueBatchBody }}", - "options": {} + "jsonBody": "={{ $('Preparar actualización Google Sheet').first().json.valueBatchBody }}", + "options": { + "timeout": 60000 + } }, "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.4, "position": [ - 22464, - 26512 + 46848, + 55408 ], - "id": "c71323e4-d046-44c9-b073-e8f389ffc86f", + "id": "9bf3a2c6-742c-479b-bfe7-ce070a6a141c", "name": "Escribir Google Sheet", "credentials": { "googleOAuth2Api": { @@ -1810,21 +2129,23 @@ { "parameters": { "method": "POST", - "url": "={{ 'https://sheets.googleapis.com/v4/spreadsheets/' + $('Crear Google Sheet').first().json.spreadsheetId + ':batchUpdate' }}", + "url": "={{ 'https://sheets.googleapis.com/v4/spreadsheets/' + $('Preparar actualización Google Sheet').first().json.spreadsheetId + ':batchUpdate' }}", "authentication": "predefinedCredentialType", "nodeCredentialType": "googleOAuth2Api", "sendBody": true, "specifyBody": "json", - "jsonBody": "={{ $('Preparar Google Sheet').first().json.formatBatchBody }}", - "options": {} + "jsonBody": "={{ $('Preparar actualización Google Sheet').first().json.formatBatchBody }}", + "options": { + "timeout": 60000 + } }, "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.4, "position": [ - 22672, - 26512 + 47088, + 55408 ], - "id": "21d98cca-0e31-4471-a0ab-b2ad0f0bf7a3", + "id": "a4395a8a-64d2-4642-9807-1b8337ddf7cf", "name": "Formatear Google Sheet", "credentials": { "googleOAuth2Api": { @@ -1835,28 +2156,28 @@ }, { "parameters": { - "jsCode": "const prepared = $('Preparar Google Sheet').first().json || {};\nconst createdSheet = $('Crear Google Sheet').first().json || {};\n\nconst original =\n prepared.originalResponse ||\n prepared.original_response ||\n prepared.response ||\n {};\n\nconst spreadsheetId = createdSheet.spreadsheetId || '';\nconst reportUrl =\n createdSheet.spreadsheetUrl ||\n (spreadsheetId ? `https://docs.google.com/spreadsheets/d/${spreadsheetId}/edit` : null);\n\nreturn [\n {\n json: {\n ok: original.ok ?? true,\n message: reportUrl\n ? 'Cruce procesado correctamente. Google Sheet generado.'\n : 'Cruce procesado correctamente, pero no se recibió URL del Google Sheet.',\n stage: reportUrl ? 'cruce_completado_con_reporte' : 'cruce_completado_sin_reporte',\n errors: original.errors || [],\n metadata: original.metadata || {},\n summary: original.summary || {},\n rows: original.rows || [],\n bankWithoutBamboo:\n original.bankWithoutBamboo || [],\n bambooSummary:\n original.bambooSummary || {},\n reportUrl,\n googleSheet: {\n spreadsheetId,\n spreadsheetUrl: reportUrl,\n },\n debug: {\n rows_returned: Array.isArray(original.rows) ? original.rows.length : 0,\n coincidencias: original.summary?.coincidencias ?? 0,\n discrepancias: original.summary?.discrepancias ?? 0,\n bancoSinBamboo:\n original.summary?.bancoSinBamboo ?? 0,\n bancoSinBambooRows:\n Array.isArray(original.bankWithoutBamboo)\n ? original.bankWithoutBamboo.length\n : 0,\n },\n },\n },\n];" + "jsCode": "const prepared = $('Preparar Google Sheet').first().json || {};\nconst sheetContext = $('Preparar actualización Google Sheet').first().json || {};\n\nconst original =\n prepared.originalResponse ||\n prepared.original_response ||\n prepared.response ||\n {};\n\nconst spreadsheetId = sheetContext.spreadsheetId || '';\nconst reportUrl =\n sheetContext.reportUrl ||\n (spreadsheetId ? `https://docs.google.com/spreadsheets/d/${spreadsheetId}/edit` : null);\n\n\nfunction collectHistoricalObjects(value, output) {\n if (Array.isArray(value)) {\n for (const item of value) collectHistoricalObjects(item, output);\n return;\n }\n\n if (!value || typeof value !== 'object') return;\n\n output.push(value);\n\n if (Array.isArray(value.data)) {\n for (const item of value.data) collectHistoricalObjects(item, output);\n }\n}\n\nconst historicalObjects = [];\ntry {\n for (const item of $items('Insertar histórico Supabase')) {\n collectHistoricalObjects(item.json, historicalObjects);\n }\n} catch (error) {\n // Si Supabase no devolvió representación, el reporte sigue respondiendo\n // igual que antes; únicamente executionId quedará vacío.\n}\n\nconst insertedHistoricalReport =\n historicalObjects.find((item) => item && item.id) || null;\n\nconst executionId = insertedHistoricalReport?.id\n ? String(insertedHistoricalReport.id)\n : '';\n\nreturn [\n {\n json: {\n ok: original.ok ?? true,\n message: reportUrl\n ? (sheetContext.reportUpdated === true\n ? `Reporte existente actualizado correctamente. Se conservaron ${Number(sheetContext.preservedResolutionsCount || 0)} resolución(es) previamente registradas.`\n : 'Cruce procesado correctamente. Google Sheet generado.')\n : 'Cruce procesado correctamente, pero no se recibió URL del Google Sheet.',\n stage: reportUrl ? 'cruce_completado_con_reporte' : 'cruce_completado_sin_reporte',\n errors: original.errors || [],\n metadata: original.metadata || {},\n summary: original.summary || {},\n rows: original.rows || [],\n bankWithoutBamboo:\n original.bankWithoutBamboo || [],\n bambooSummary:\n original.bambooSummary || {},\n reportUrl,\n executionId: executionId || undefined,\n reportUpdated: sheetContext.reportUpdated === true,\n reusingSheet: sheetContext.reusingSheet === true,\n preservedResolutionsCount: Number(sheetContext.preservedResolutionsCount || 0),\n clientRequestId: original.metadata?.client_request_id || '',\n googleSheet: {\n spreadsheetId,\n spreadsheetUrl: reportUrl,\n },\n debug: {\n rows_returned: Array.isArray(original.rows) ? original.rows.length : 0,\n coincidencias: original.summary?.coincidencias ?? 0,\n discrepancias: original.summary?.discrepancias ?? 0,\n bancoSinBamboo:\n original.summary?.bancoSinBamboo ?? 0,\n bancoSinBambooRows:\n Array.isArray(original.bankWithoutBamboo)\n ? original.bankWithoutBamboo.length\n : 0,\n },\n },\n },\n];" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ - 24800, - 26528 + 49024, + 55408 ], - "id": "aa72c7f0-6d16-483e-b991-292c01415eef", + "id": "8eb9c178-8cc6-4a0e-88f0-ca40d1d4a13e", "name": "Preparar respuesta final" }, { "parameters": { - "jsCode": "const createdSheet = $('Crear Google Sheet').first().json || {};\nconst spreadsheetId = createdSheet.spreadsheetId;\n\nif (!spreadsheetId) {\n throw new Error('No se recibió spreadsheetId desde Crear Google Sheet.');\n}\n\nconst allowedEmails = [\n 'iaracena@gomezleemarketing.com',\n 'ymadera@gomezleemarketing.com',\n 'mgomez@gomezleemarketing.com',\n 'jgomez@gomezleemarketing.com',\n];\n\nreturn allowedEmails.map((email) => ({\n json: {\n spreadsheetId,\n email,\n permissionBody: {\n type: 'user',\n role: 'writer',\n emailAddress: email,\n },\n },\n}));" + "jsCode": "const context =\n $('Preparar actualización Google Sheet').first().json || {};\n\nconst spreadsheetId =\n context.spreadsheetId;\n\nif (!spreadsheetId) {\n throw new Error(\n 'No se recibió spreadsheetId para configurar permisos.'\n );\n}\n\nconst allowedEmails = [\n 'iaracena@gomezleemarketing.com',\n 'ymadera@gomezleemarketing.com',\n 'mgomez@gomezleemarketing.com',\n 'jgomez@gomezleemarketing.com',\n 'vparamo@gomezleemarketing.com',\n 'jsepulveda@gomezlee.marketing',\n 'mbenitez@gomezlee.marketing',\n];\n\nreturn allowedEmails.map((email) => ({\n json: {\n spreadsheetId,\n email,\n permissionBody: {\n type: 'user',\n role: 'writer',\n emailAddress: email,\n },\n reportUpdated:\n context.reportUpdated === true,\n },\n}));" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ - 22880, - 26512 + 47984, + 55408 ], - "id": "e2b64399-0b45-40b9-b2be-b7b88bdfa002", + "id": "bd69ea75-be1e-431d-ba66-348f1c0be6ee", "name": "Preparar permisos Google Sheet" }, { @@ -1873,35 +2194,36 @@ "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.4, "position": [ - 23088, - 26512 + 48224, + 55408 ], - "id": "d9026869-a053-4a40-8d5f-fe92e6c11c7d", + "id": "7ff7d8b2-babc-47f2-9f7a-75ce66027267", "name": "Compartir Google Sheet", "credentials": { "googleOAuth2Api": { "id": "dQ1MJSJSWcoWYcb8", "name": "Google account - Isaac Producción" } - } + }, + "onError": "continueRegularOutput" }, { "parameters": { - "jsCode": "const cruce = $('Cruzar Nómina vs Banco').first().json || {};\nconst createdSheet = $('Crear Google Sheet').first().json || {};\n\nconst metadata = cruce.metadata || {};\nconst summary = cruce.summary || {};\nconst debug = cruce.debug || {};\n\nconst spreadsheetId = createdSheet.spreadsheetId || cruce.spreadsheetId || '';\nconst reportUrl =\n createdSheet.spreadsheetUrl ||\n createdSheet.spreadsheet_url ||\n (spreadsheetId ? `https://docs.google.com/spreadsheets/d/${spreadsheetId}/edit` : null);\n\nfunction toNumber(value) {\n const parsed = Number(value);\n return Number.isFinite(parsed) ? parsed : 0;\n}\n\nfunction buildPeriodKey(periodMetadata) {\n const country = periodMetadata.country || 'GT';\n const year = periodMetadata.year || '';\n const month = String(periodMetadata.month || '').padStart(2, '0');\n const periodType = periodMetadata.period_type || 'periodo';\n return `${country}-${year}-${month}-${periodType}`;\n}\n\nconst discrepancias = toNumber(summary.discrepancias);\nconst bancoSinNomina = toNumber(summary.bancoSinNomina);\nconst nominaSinCuenta = toNumber(summary.nominaSinCuenta);\nconst diferenciasNombreBanco =\n toNumber(summary.diferenciasNombreBanco);\nconst bancoSinBamboo =\n toNumber(summary.bancoSinBamboo);\nconst pendientes = toNumber(summary.pendientes) || (\n discrepancias +\n bancoSinNomina +\n nominaSinCuenta +\n diferenciasNombreBanco\n);\n\n// Banco sin Bamboo es una revisión independiente del cruce principal.\nconst requiereRevision =\n pendientes > 0 || bancoSinBamboo > 0;\n\n// La app final solo manejará Pendiente revisión y Resuelto.\nconst estado = requiereRevision\n ? 'pendiente_revision'\n : 'resuelto';\n\nconst payload = {\n source_app: metadata.source_app || 'cruce-cuentas-glm-guatemala',\n country: metadata.country || 'GT',\n country_name: metadata.country_name || 'Guatemala',\n\n year: toNumber(metadata.year),\n month: toNumber(metadata.month),\n period_type: metadata.period_type || '',\n period_label: metadata.period_label || '',\n period_start: metadata.period_start || null,\n period_end: metadata.period_end || null,\n period_key: buildPeriodKey(metadata),\n\n payroll_file_name: metadata.payroll_file_name || '',\n bank_file_names: metadata.bank_file_names || [],\n\n coincidencias: toNumber(summary.coincidencias),\n discrepancias,\n\n banco_sin_bamboo: bancoSinBamboo,\n detalle_banco_sin_bamboo:\n Array.isArray(cruce.bankWithoutBamboo)\n ? cruce.bankWithoutBamboo\n : [],\n banco_sin_nomina: bancoSinNomina,\n nomina_sin_cuenta: nominaSinCuenta,\n nomina_sin_bamboo: 0,\n bamboo_sin_nomina: 0,\n\n filas_nomina_validas: toNumber(summary.filasNominaValidas),\n cuentas_nomina_agrupadas: toNumber(summary.cuentasNominaAgrupadas),\n transacciones_banco: toNumber(summary.transaccionesBanco),\n cuentas_banco_agrupadas: toNumber(summary.cuentasBancoAgrupadas),\n\n total_nomina: toNumber(summary.totalNomina),\n total_banco: toNumber(summary.totalBanco),\n diferencia_total: toNumber(summary.diferenciaTotal),\n\n report_url: reportUrl,\n spreadsheet_id: spreadsheetId,\n estado,\n\n ejecutado_por_nombre: metadata.requested_by_name || 'Usuario GLM',\n ejecutado_por_email: metadata.requested_by_email || '',\n\n metadata: {\n ...metadata,\n diferencias_nombre_banco:\n diferenciasNombreBanco,\n banco_sin_bamboo:\n bancoSinBamboo,\n pendientes_cruce_principal:\n pendientes,\n requiere_revision:\n requiereRevision,\n },\n summary,\n debug: {\n sheet_summaries: debug.sheet_summaries || [],\n attached_supplements: debug.attached_supplements || [],\n unattached_supplements: debug.unattached_supplements || [],\n bank_name_differences_preview:\n debug.bank_name_differences_preview || [],\n bamboo_matches:\n debug.bamboo_matches || [],\n bamboo_excluded_payments:\n debug.bamboo_excluded_payments || [],\n banco_sin_bamboo:\n cruce.bankWithoutBamboo || [],\n },\n};\n\nreturn [\n {\n json: {\n ...cruce,\n supabaseTable: 'cruces_cuentas_gt_reportes',\n supabasePayload: payload,\n reportUrl,\n spreadsheetId,\n },\n },\n];\n" + "jsCode": "const cruce = $('Cruzar Nómina vs Banco').first().json || {};\nconst sheetContext =\n $('Preparar actualización Google Sheet').first().json || {};\n\nconst metadata = cruce.metadata || {};\nconst summary = cruce.summary || {};\nconst debug = cruce.debug || {};\n\nconst spreadsheetId = sheetContext.spreadsheetId || cruce.spreadsheetId || '';\nconst reportUrl =\n sheetContext.reportUrl ||\n (spreadsheetId ? `https://docs.google.com/spreadsheets/d/${spreadsheetId}/edit` : null);\n\nfunction toNumber(value) {\n const parsed = Number(value);\n return Number.isFinite(parsed) ? parsed : 0;\n}\n\nfunction buildPeriodKey(periodMetadata) {\n const country = periodMetadata.country || 'GT';\n const year = periodMetadata.year || '';\n const month = String(periodMetadata.month || '').padStart(2, '0');\n const periodType = periodMetadata.period_type || 'periodo';\n return `${country}-${year}-${month}-${periodType}`;\n}\n\nconst discrepancias = toNumber(summary.discrepancias);\nconst bancoSinNomina = toNumber(summary.bancoSinNomina);\nconst nominaSinCuenta = toNumber(summary.nominaSinCuenta);\nconst diferenciasNombreBanco =\n toNumber(summary.diferenciasNombreBanco);\nconst bancoSinBamboo =\n toNumber(summary.bancoSinBamboo);\nconst pendientes = toNumber(summary.pendientes) || (\n discrepancias +\n bancoSinNomina +\n nominaSinCuenta +\n diferenciasNombreBanco\n);\n\n// Banco sin Bamboo es una revisión independiente del cruce principal.\nconst requiereRevision =\n pendientes > 0 || bancoSinBamboo > 0;\n\n// La app final solo manejará Pendiente revisión y Resuelto.\nconst estado = requiereRevision\n ? 'pendiente_revision'\n : 'resuelto';\n\nconst reportIdentity = [\n 'GT',\n String(metadata.year || ''),\n String(metadata.month || '').padStart(2, '0'),\n String(metadata.period_type || '').trim().toLowerCase(),\n].join('-');\n\nconst reportUpdated =\n sheetContext.reportUpdated === true;\n\nconst preservedResolutionsCount =\n Number(\n sheetContext.preservedResolutionsCount || 0\n );\n\nconst payload = {\n source_app: metadata.source_app || 'cruce-cuentas-glm-guatemala',\n country: metadata.country || 'GT',\n country_name: metadata.country_name || 'Guatemala',\n client_request_id: metadata.client_request_id || null,\n report_identity: reportIdentity,\n\n year: toNumber(metadata.year),\n month: toNumber(metadata.month),\n period_type: metadata.period_type || '',\n period_label: metadata.period_label || '',\n period_start: metadata.period_start || null,\n period_end: metadata.period_end || null,\n period_key: buildPeriodKey(metadata),\n\n payroll_file_name: metadata.payroll_file_name || '',\n bank_file_names: metadata.bank_file_names || [],\n\n coincidencias: toNumber(summary.coincidencias),\n discrepancias,\n\n banco_sin_bamboo: bancoSinBamboo,\n detalle_banco_sin_bamboo:\n Array.isArray(cruce.bankWithoutBamboo)\n ? cruce.bankWithoutBamboo\n : [],\n banco_sin_nomina: bancoSinNomina,\n nomina_sin_cuenta: nominaSinCuenta,\n nomina_sin_bamboo: 0,\n bamboo_sin_nomina: 0,\n\n filas_nomina_validas: toNumber(summary.filasNominaValidas),\n cuentas_nomina_agrupadas: toNumber(summary.cuentasNominaAgrupadas),\n transacciones_banco: toNumber(summary.transaccionesBanco),\n cuentas_banco_agrupadas: toNumber(summary.cuentasBancoAgrupadas),\n\n total_nomina: toNumber(summary.totalNomina),\n total_banco: toNumber(summary.totalBanco),\n diferencia_total: toNumber(summary.diferenciaTotal),\n\n report_url: reportUrl,\n spreadsheet_id: spreadsheetId,\n estado,\n\n ejecutado_por_nombre: metadata.requested_by_name || 'Usuario GLM',\n ejecutado_por_email: metadata.requested_by_email || '',\n\n metadata: {\n ...metadata,\n report_identity: reportIdentity,\n report_updated: reportUpdated,\n preserved_resolutions_count: preservedResolutionsCount,\n diferencias_nombre_banco:\n diferenciasNombreBanco,\n banco_sin_bamboo:\n bancoSinBamboo,\n pendientes_cruce_principal:\n pendientes,\n requiere_revision:\n requiereRevision,\n },\n summary,\n debug: {\n sheet_summaries: debug.sheet_summaries || [],\n attached_supplements: debug.attached_supplements || [],\n unattached_supplements: debug.unattached_supplements || [],\n bank_name_differences_preview:\n debug.bank_name_differences_preview || [],\n bamboo_matches:\n debug.bamboo_matches || [],\n bamboo_excluded_payments:\n debug.bamboo_excluded_payments || [],\n banco_sin_bamboo:\n cruce.bankWithoutBamboo || [],\n },\n};\n\n\nif (\n reportUpdated &&\n estado !== 'resuelto'\n) {\n payload.resuelto_por_nombre = null;\n payload.resuelto_por_email = null;\n payload.resuelto_en = null;\n payload.comentario_resolucion = null;\n}\n\nreturn [\n {\n json: {\n ...cruce,\n reportUpdated,\n preservedResolutionsCount,\n existingHistoricalId: sheetContext.existingHistoricalId || '',\n reportIdentity,\n supabaseTable: 'cruces_cuentas_gt_reportes',\n supabasePayload: payload,\n reportUrl,\n spreadsheetId,\n },\n },\n];\n" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ - 24240, - 26528 + 48544, + 55408 ], - "id": "471f36ca-d750-4e92-8807-4794ce0cc4a0", + "id": "8350ad22-28e1-4079-b3be-9c84fe5c2d22", "name": "Preparar histórico Supabase" }, { "parameters": { "method": "POST", - "url": "https://dbit.digitalcompass.agency/rest/v1/cruces_cuentas_gt_reportes", + "url": "https://dbit.digitalcompass.agency/rest/v1/cruces_cuentas_gt_reportes?on_conflict=report_identity", "sendHeaders": true, "headerParameters": { "parameters": [ @@ -1919,7 +2241,7 @@ }, { "name": "Prefer", - "value": "return=representation" + "value": "resolution=merge-duplicates,return=representation" } ] }, @@ -1931,10 +2253,10 @@ "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.4, "position": [ - 24448, - 26528 + 48784, + 55408 ], - "id": "69a0dfa0-702a-4ed6-93cc-01a0b97d9676", + "id": "515c10e1-a63d-42d7-91cc-8e1e53ca6e82", "name": "Insertar histórico Supabase", "onError": "continueRegularOutput" }, @@ -1950,10 +2272,10 @@ "type": "n8n-nodes-base.extractFromFile", "typeVersion": 1.1, "position": [ - 15664, - 27632 + 38736, + 56528 ], - "id": "f545108c-5069-4208-be51-531a235a81e2", + "id": "560b3add-3f9f-43ae-8b96-4fa92f9bd676", "name": "Extract - Temporales WMC", "retryOnFail": false, "onError": "continueRegularOutput" @@ -1963,10 +2285,10 @@ "type": "n8n-nodes-base.merge", "typeVersion": 3.2, "position": [ - 19232, - 27296 + 42304, + 56192 ], - "id": "e4f39bb4-ad63-4611-8ddc-09a44817eaa1", + "id": "4b279e8c-2b95-495e-86a1-11a58c82a2ad", "name": "Merge Hojas 10" }, { @@ -2015,10 +2337,10 @@ "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.4, "position": [ - 15216, - 25568 + 38288, + 54464 ], - "id": "4487c967-fd95-4865-977b-b232f1a7b69d", + "id": "7575857f-ee04-4458-a32b-a268a77931af", "name": "HTTP - Empleados BambooHR GT", "retryOnFail": true, "maxTries": 3, @@ -2037,10 +2359,10 @@ "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ - 15440, - 25568 + 38512, + 54464 ], - "id": "a0b69501-6075-4d1c-819e-a7b15a683ddb", + "id": "7c44bb5d-2866-44ef-b943-95951994b266", "name": "Normalizar BambooHR GT" }, { @@ -2052,10 +2374,10 @@ "type": "n8n-nodes-base.merge", "typeVersion": 3.2, "position": [ - 21472, - 26512 + 44736, + 55408 ], - "id": "4ba30bd6-5082-4299-aaaa-4082014f781e", + "id": "a353532c-f8a4-43a2-b28f-45bee1afe352", "name": "Merge - Agregar BambooHR" }, { @@ -2068,10 +2390,10 @@ "type": "n8n-nodes-base.stickyNote", "typeVersion": 1, "position": [ - 14432, - 24992 + 37504, + 53888 ], - "id": "a9eedba9-b326-4097-b31a-9cb977f38400", + "id": "82f110bb-3909-4b50-9057-a7fe2b6e07b2", "name": "Sticky Note" }, { @@ -2084,43 +2406,273 @@ "type": "n8n-nodes-base.stickyNote", "typeVersion": 1, "position": [ - 16368, - 25136 + 39440, + 54032 ], - "id": "458cfcea-4a35-4a73-bfd9-c2689bb88d0b", + "id": "a0b5e657-ec5c-40b4-a6e2-f66bf5a34189", "name": "Sticky Note1" }, { "parameters": { "content": "# 🔍 CRUCE Y REPORTE FINAL — GUATEMALA\n\nCombina la nómina consolidada con el archivo bancario y la información oficial de BambooHR.\n\nEl cruce permite detectar:\n\n- Diferencias entre nómina y banco.\n- Empleados presentes solamente en nómina.\n- Registros presentes solamente en el banco.\n- Empleados no encontrados en BambooHR.\n- Posibles diferencias de nombres, cuentas o identificadores.\n- Diferencias en montos pagados.\n- Registros que requieren revisión manual.\n\nDespués del análisis:\n\n1. Se organizan los resultados por hoja y categoría.\n2. Se prepara la estructura del reporte.\n3. Se crea un nuevo Google Sheet.\n4. Se escriben encabezados, resultados y resúmenes.\n5. Se aplican formatos de moneda, fechas y columnas.\n6. Se configuran los permisos.\n7. Se comparte el archivo con los usuarios autorizados.\n\nReglas:\n\n- No depender únicamente del nombre para relacionar empleados.\n- No ocultar registros sin coincidencia.\n- No compartir el Sheet antes de finalizar su escritura.\n- No devolver el enlace hasta confirmar que el archivo existe.\n- Google Sheets funciona como entregable; las fuentes originales siguen siendo BambooHR, nómina y banco.", "height": 608, - "width": 2608, + "width": 3472, "color": "#5F721D" }, "type": "n8n-nodes-base.stickyNote", "typeVersion": 1, "position": [ - 20752, - 26288 + 43824, + 55184 ], - "id": "74dfb3d9-327a-428e-a0d8-400436289f6c", + "id": "902c6e8a-f767-430a-81ab-153ef58a1905", "name": "Sticky Note2" }, { "parameters": { "content": "# 🗂️ HISTÓRICO Y RESPUESTA FINAL\n\nRegistra en Supabase la ejecución completada y devuelve el resultado al Portal de Verificación de Nóminas.\n\nEl histórico puede almacenar:\n\n- País: Guatemala.\n- Año y mes procesados.\n- Tipo de período.\n- Fecha de ejecución.\n- Usuario que inició el proceso.\n- Cantidad de registros analizados.\n- Cantidad de diferencias o hallazgos.\n- Enlace del Google Sheet.\n- Estado inicial del reporte.\n- Identificador de la ejecución.\n\nDespués del registro:\n\n1. Se construye la respuesta para la aplicación.\n2. Se incluye el enlace al reporte generado.\n3. Se devuelve el resumen de resultados.\n4. Se informa si el procesamiento terminó correctamente.\n5. Se cierra la solicitud mediante Respond to Webhook.\n\nReglas:\n\n- Registrar el histórico solamente después de crear el reporte.\n- No declarar éxito si falló el Sheet o Supabase.\n- No devolver credenciales ni información interna.\n- Mantener una estructura estable para la aplicación.\n- Supabase es la fuente oficial de los históricos mostrados en el portal.", - "height": 656, - "width": 1760, + "height": 992, + "width": 2048, "color": 3 }, "type": "n8n-nodes-base.stickyNote", "typeVersion": 1, "position": [ - 23536, - 26256 + 47440, + 55104 ], - "id": "86284c0d-1d6b-4ed5-84a6-2dea3aaed6e8", + "id": "2cdfdfa6-b49b-4b28-85df-d70b1baef892", "name": "Sticky Note3" + }, + { + "parameters": { + "jsCode": "const prepared = $('Preparar histórico Supabase').first().json || {};\nconst payload = prepared.supabasePayload || {};\nconst metadata = payload.metadata || {};\nconst summary = payload.summary || {};\nconst reportUpdated = prepared.reportUpdated === true;\n\nfunction escapeHtml(value) {\n return String(value ?? '')\n .replace(/&/g, '&')\n .replace(//g, '>')\n .replace(/\"/g, '"')\n .replace(/'/g, ''');\n}\n\nfunction numberValue(value) {\n const parsed = Number(value);\n return Number.isFinite(parsed) ? parsed : 0;\n}\n\nfunction formatGeneratedAt(date) {\n const timeZone = 'America/Santo_Domingo';\n\n const dateLabel = new Intl.DateTimeFormat('es-DO', {\n timeZone,\n day: 'numeric',\n month: 'long',\n year: 'numeric',\n }).format(date);\n\n const timeLabel = new Intl.DateTimeFormat('es-DO', {\n timeZone,\n hour: 'numeric',\n minute: '2-digit',\n hour12: true,\n }).format(date);\n\n const hour24Raw = new Intl.DateTimeFormat('en-US', {\n timeZone,\n hour: '2-digit',\n hour12: false,\n }).format(date);\n\n const hour24 =\n Number(String(hour24Raw).replace(/\\D/g, '')) % 24;\n\n const hourArticle =\n hour24 === 1 || hour24 === 13\n ? 'a la'\n : 'a las';\n\n return `${dateLabel} ${hourArticle} ${timeLabel}`;\n}\n\nfunction metricCard(label, value, accent) {\n return `\n \n \n \n \n \n ${escapeHtml(label)}\n \n\n \n ${numberValue(value).toLocaleString('en-US')}\n \n \n \n \n \n `;\n}\n\nconst countryName =\n payload.country_name ||\n metadata.country_name ||\n (\n String(payload.country || '').toUpperCase() === 'TT'\n ? 'Trinidad y Tobago'\n : 'Guatemala'\n );\n\nconst countryCode = String(\n payload.country ||\n metadata.country ||\n ''\n).toUpperCase();\n\nconst periodLabel =\n payload.period_label ||\n metadata.period_label ||\n [\n payload.year || metadata.year,\n payload.month || metadata.month,\n payload.period_type || metadata.period_type,\n ]\n .filter(Boolean)\n .join(' · ') ||\n 'Período no especificado';\n\nconst executedByName =\n payload.ejecutado_por_nombre ||\n metadata.requested_by_name ||\n 'Usuario GLM';\n\nconst executedByEmail =\n payload.ejecutado_por_email ||\n metadata.requested_by_email ||\n '';\n\nconst reportUrl =\n payload.report_url ||\n prepared.reportUrl ||\n '';\n\nconst discrepancias = numberValue(\n payload.discrepancias ??\n summary.discrepancias\n);\n\nconst bancoSinNomina = numberValue(\n payload.banco_sin_nomina ??\n summary.bancoSinNomina\n);\n\nconst bancoSinBamboo = numberValue(\n payload.banco_sin_bamboo ??\n summary.bancoSinBamboo\n);\n\nconst diferenciasNombreBanco = numberValue(\n metadata.diferencias_nombre_banco ??\n summary.diferenciasNombreBanco\n);\n\nconst nominaSinCuenta = numberValue(\n payload.nomina_sin_cuenta ??\n summary.nominaSinCuenta\n);\n\nconst coincidencias = numberValue(\n payload.coincidencias ??\n summary.coincidencias\n);\n\nconst generatedAt = new Date();\nconst generatedAtLabel =\n formatGeneratedAt(generatedAt);\n\nconst statusLabel =\n String(payload.estado || '').toLowerCase() === 'resuelto'\n ? 'Resuelto'\n : 'Pendiente de revisión';\n\nconst logoUrl =\n 'https://dbit.digitalcompass.agency/storage/v1/object/public/public-assets/GLM_completo.png';\n\nconst flagUrl =\n countryCode === 'TT'\n ? 'https://dbit.digitalcompass.agency/storage/v1/object/public/public-assets/Flag_of_Trinidad_and_Tobago.svg.webp'\n : 'https://dbit.digitalcompass.agency/storage/v1/object/public/public-assets/Flag_of_Guatemala.svg.webp';\n\nconst subject = reportUpdated\n ? `Reporte actualizado - Cruce de Cuentas ${countryName} - ${periodLabel}`\n : `Nuevo reporte generado - Cruce de Cuentas ${countryName} - ${periodLabel}`;\n\n/*\n * Todos son destinatarios directos.\n * Nadie se envía en CC.\n */\n\nconst to = [\n 'iaracena@gomezleemarketing.com',\n 'jgomez@gomezleemarketing.com',\n 'mgomez@gomezleemarketing.com',\n 'vparamo@gomezleemarketing.com',\n 'ymadera@gomezleemarketing.com',\n 'jsepulveda@gomezlee.marketing',\n 'mbenitez@gomezlee.marketing',\n].join(',');\n\n\n// Paleta oficial GLM.\nconst metricCards = [\n metricCard(\n 'Discrepancias',\n discrepancias,\n '#FF6A13'\n ),\n metricCard(\n 'Banco sin nómina',\n bancoSinNomina,\n '#FF8C00'\n ),\n metricCard(\n 'Banco sin Bamboo',\n bancoSinBamboo,\n '#E87722'\n ),\n metricCard(\n 'Diferencias nombre banco',\n diferenciasNombreBanco,\n '#5B7F95'\n ),\n metricCard(\n 'Nómina sin cuenta',\n nominaSinCuenta,\n '#4F758B'\n ),\n].join('');\n\nconst htmlBody = `\n\n\n\n\n \n \n ${escapeHtml(subject)}\n\n\n\n\n \n \n \n\n \n\n \n \n \n  \n \n \n\n \n \n \n\n \n \n \n \n \n\n \n \n ${reportUpdated ? 'REPORTE ACTUALIZADO' : 'REPORTE GENERADO'}\n \n \n \n \n\n \n\n \n \n\n \n \n \n\n \n\n \n Cruce de Cuentas · ${escapeHtml(countryName)}\n \n\n \n ${escapeHtml(periodLabel)}\n \n\n \n\n \n \n\n \n \n\n \n \n \n\n \n ${reportUpdated ? 'Se actualizó el reporte existente del Portal de Cruce de Cuentas GLM conservando las resoluciones previamente registradas que continúan correspondiendo a los mismos casos.' : 'Se completó una nueva ejecución del Portal de Cruce de Cuentas GLM. Este es el resumen del reporte generado.'}\n \n\n \n \n\n \n \n \n\n \n \n ${metricCards}\n \n \n\n \n \n\n \n \n \n\n \n\n \n\n \n\n \n Ejecutado por\n \n\n \n ${escapeHtml(executedByName)}\n \n\n \n ${escapeHtml(\n executedByEmail ||\n 'Correo no disponible'\n )}\n \n\n \n\n \n\n \n País\n \n\n \n \n\n \n \n \n\n \n\n \n ${escapeHtml(countryName)}\n \n\n \n ${escapeHtml(\n countryCode || '—'\n )}\n \n\n \n\n \n \n\n \n\n \n\n \n\n \n\n \n Período\n \n\n \n ${escapeHtml(periodLabel)}\n \n\n \n ${escapeHtml(generatedAtLabel)}\n \n\n \n\n \n\n \n Estado inicial\n \n\n \n ${escapeHtml(statusLabel)}\n \n\n \n Coincidencias:\n ${coincidencias.toLocaleString('en-US')}\n \n\n \n\n \n\n \n\n \n \n\n \n ${\n reportUrl\n ? `\n \n \n\n \n Abrir reporte en Google Sheets\n \n\n \n \n `\n : ''\n }\n\n \n \n \n\n \n\n \n Notificación automática · Portal Cruce de Cuentas GLM\n
\n Los casos de revisión deben gestionarse directamente en el reporte generado.\n \n\n \n \n\n \n\n \n \n \n\n\n\n`;\n\nreturn [\n {\n json: {\n to,\n subject,\n htmlBody,\n\n notification: {\n country: countryCode,\n countryName,\n flagUrl,\n periodLabel,\n executedByName,\n executedByEmail,\n generatedAt: generatedAt.toISOString(),\n reportUrl,\n\n metrics: {\n discrepancias,\n bancoSinNomina,\n bancoSinBamboo,\n diferenciasNombreBanco,\n nominaSinCuenta,\n coincidencias,\n },\n },\n },\n },\n];" + }, + "type": "n8n-nodes-base.code", + "typeVersion": 2, + "position": [ + 49024, + 55728 + ], + "id": "6922b1cf-221c-416e-aff5-3e7e5cbfb509", + "name": "Preparar correo reporte generado" + }, + { + "parameters": { + "sendTo": "={{$json.to}}", + "subject": "={{$json.subject}}", + "message": "={{ $json.htmlBody }}", + "options": { + "appendAttribution": false + } + }, + "type": "n8n-nodes-base.gmail", + "typeVersion": 2.2, + "position": [ + 49264, + 55728 + ], + "id": "89ab7a7d-a7b2-456f-a675-291c1f96a72f", + "name": "Enviar correo reporte generado", + "webhookId": "c10f5aec-68bc-44d9-8152-2e14f8898e02", + "credentials": { + "gmailOAuth2": { + "id": "UDcO1FLJqA453V2D", + "name": "Gmail account 3" + } + }, + "onError": "continueRegularOutput" + }, + { + "parameters": { + "method": "POST", + "url": "https://dbit.digitalcompass.agency/rest/v1/rpc/cruce_cuentas_bamboo_aliases_activos", + "sendHeaders": true, + "headerParameters": { + "parameters": [ + { + "name": "apikey", + "value": "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyAgCiAgICAicm9sZSI6ICJzZXJ2aWNlX3JvbGUiLAogICAgImlzcyI6ICJzdXBhYmFzZS1kZW1vIiwKICAgICJpYXQiOiAxNjQxNzY5MjAwLAogICAgImV4cCI6IDE3OTk1MzU2MDAKfQ.DaYlNEoUrrEn2Ig7tqibS-PHK5vgusbcbo7X36XVt4Q" + }, + { + "name": "Authorization", + "value": "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyAgCiAgICAicm9sZSI6ICJzZXJ2aWNlX3JvbGUiLAogICAgImlzcyI6ICJzdXBhYmFzZS1kZW1vIiwKICAgICJpYXQiOiAxNjQxNzY5MjAwLAogICAgImV4cCI6IDE3OTk1MzU2MDAKfQ.DaYlNEoUrrEn2Ig7tqibS-PHK5vgusbcbo7X36XVt4Q" + }, + { + "name": "Content-Type", + "value": "application/json" + }, + { + "name": "Prefer", + "value": "return=representation" + } + ] + }, + "sendBody": true, + "specifyBody": "json", + "jsonBody": { + "p_pais": "GT" + }, + "options": { + "response": { + "response": { + "responseFormat": "json" + } + }, + "timeout": 30000 + } + }, + "type": "n8n-nodes-base.httpRequest", + "typeVersion": 4.4, + "position": [ + 44960, + 55392 + ], + "id": "95862c48-081a-475e-b155-a33f3c47d4e9", + "name": "Obtener alias BambooHR Supabase", + "retryOnFail": true, + "maxTries": 2, + "waitBetweenTries": 1000, + "onError": "continueRegularOutput" + }, + { + "parameters": { + "method": "POST", + "url": "https://dbit.digitalcompass.agency/rest/v1/rpc/cruce_cuentas_get_reporte_periodo", + "sendHeaders": true, + "headerParameters": { + "parameters": [ + { + "name": "apikey", + "value": "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyAgCiAgICAicm9sZSI6ICJzZXJ2aWNlX3JvbGUiLAogICAgImlzcyI6ICJzdXBhYmFzZS1kZW1vIiwKICAgICJpYXQiOiAxNjQxNzY5MjAwLAogICAgImV4cCI6IDE3OTk1MzU2MDAKfQ.DaYlNEoUrrEn2Ig7tqibS-PHK5vgusbcbo7X36XVt4Q" + }, + { + "name": "Authorization", + "value": "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyAgCiAgICAicm9sZSI6ICJzZXJ2aWNlX3JvbGUiLAogICAgImlzcyI6ICJzdXBhYmFzZS1kZW1vIiwKICAgICJpYXQiOiAxNjQxNzY5MjAwLAogICAgImV4cCI6IDE3OTk1MzU2MDAKfQ.DaYlNEoUrrEn2Ig7tqibS-PHK5vgusbcbo7X36XVt4Q" + }, + { + "name": "Content-Type", + "value": "application/json" + }, + { + "name": "Prefer", + "value": "return=representation" + } + ] + }, + "sendBody": true, + "specifyBody": "json", + "jsonBody": "={{ { p_country: $('Preparar Google Sheet').first().json.metadata.country || 'GT', p_year: Number($('Preparar Google Sheet').first().json.metadata.year || 0), p_month: Number($('Preparar Google Sheet').first().json.metadata.month || 0), p_period_type: $('Preparar Google Sheet').first().json.metadata.period_type || '' } }}", + "options": { + "response": { + "response": { + "responseFormat": "json" + } + }, + "timeout": 30000 + } + }, + "type": "n8n-nodes-base.httpRequest", + "typeVersion": 4.4, + "position": [ + 45168, + 55408 + ], + "id": "8f026cda-164d-4b51-954b-bbf2e881e539", + "name": "Buscar reporte existente Supabase" + }, + { + "parameters": { + "url": "={{ 'https://sheets.googleapis.com/v4/spreadsheets/' + $('Crear Google Sheet').first().json.spreadsheetId + '?includeGridData=true' }}", + "authentication": "predefinedCredentialType", + "nodeCredentialType": "googleOAuth2Api", + "options": { + "timeout": 60000 + } + }, + "type": "n8n-nodes-base.httpRequest", + "typeVersion": 4.4, + "position": [ + 45888, + 55408 + ], + "id": "7c64d38e-6469-4b04-8d3b-de56f49db2f7", + "name": "Leer Google Sheet actual", + "credentials": { + "googleOAuth2Api": { + "id": "dQ1MJSJSWcoWYcb8", + "name": "Google account - Isaac Producción" + } + } + }, + { + "parameters": { + "jsCode": "const prepared =\n $('Preparar Google Sheet').first().json || {};\n\nconst lookup =\n $('Buscar reporte existente Supabase').first().json || {};\n\nconst resolvedSheet =\n $('Crear Google Sheet').first().json || {};\n\nconst spreadsheet =\n $input.first().json || {};\n\nconst report =\n lookup && typeof lookup.report === 'object' && lookup.report\n ? lookup.report\n : {};\n\nconst historyExists =\n lookup.found === true &&\n Boolean(report.id);\n\nconst reusingSheet =\n historyExists &&\n Boolean(\n String(\n report.spreadsheet_id ||\n ''\n ).trim()\n );\n\nconst spreadsheetId =\n String(\n resolvedSheet.spreadsheetId ||\n report.spreadsheet_id ||\n spreadsheet.spreadsheetId ||\n ''\n ).trim();\n\nif (!spreadsheetId) {\n throw new Error(\n 'No se pudo resolver el spreadsheetId del reporte.'\n );\n}\n\nfunction normalizeText(value) {\n return String(value ?? '')\n .toLowerCase()\n .normalize('NFD')\n .replace(/[\\u0300-\\u036f]/g, '')\n .replace(/[^a-z0-9]+/g, ' ')\n .replace(/\\s+/g, ' ')\n .trim();\n}\n\nfunction normalizeAccount(value) {\n return String(value ?? '')\n .replace(/\\.0$/g, '')\n .replace(/\\D/g, '')\n .trim();\n}\n\nfunction cellValue(cell) {\n if (!cell || typeof cell !== 'object') {\n return '';\n }\n\n const entered =\n cell.userEnteredValue || {};\n\n if (\n entered.stringValue !== undefined\n ) {\n return String(entered.stringValue);\n }\n\n if (\n entered.numberValue !== undefined\n ) {\n return String(entered.numberValue);\n }\n\n if (\n entered.boolValue !== undefined\n ) {\n return entered.boolValue\n ? 'TRUE'\n : 'FALSE';\n }\n\n if (\n entered.formulaValue !== undefined\n ) {\n return String(\n cell.formattedValue ??\n entered.formulaValue\n );\n }\n\n return String(\n cell.formattedValue ?? ''\n );\n}\n\nfunction sheetMatrix(sheet) {\n const matrix = [];\n const blocks =\n Array.isArray(sheet?.data)\n ? sheet.data\n : [];\n\n for (const block of blocks) {\n const startRow =\n Number(block.startRow || 0);\n const rowData =\n Array.isArray(block.rowData)\n ? block.rowData\n : [];\n\n for (\n let rowOffset = 0;\n rowOffset < rowData.length;\n rowOffset++\n ) {\n const rowIndex =\n startRow + rowOffset;\n\n const cells =\n Array.isArray(\n rowData[rowOffset]?.values\n )\n ? rowData[rowOffset].values\n : [];\n\n matrix[rowIndex] =\n cells.map(cellValue);\n }\n }\n\n return matrix;\n}\n\nfunction findHeaderInfo(matrix) {\n for (\n let rowIndex = 0;\n rowIndex < matrix.length;\n rowIndex++\n ) {\n const row =\n Array.isArray(matrix[rowIndex])\n ? matrix[rowIndex]\n : [];\n\n const normalized =\n row.map(normalizeText);\n\n const resolutionIndex =\n normalized.findIndex(\n (value) =>\n value === 'resolucion'\n );\n\n if (resolutionIndex >= 0) {\n return {\n rowIndex,\n header: row,\n normalized,\n resolutionIndex,\n };\n }\n }\n\n return null;\n}\n\nfunction indexMatching(\n normalizedHeader,\n candidates\n) {\n for (const candidate of candidates) {\n const normalizedCandidate =\n normalizeText(candidate);\n\n const exact =\n normalizedHeader.findIndex(\n (header) =>\n header === normalizedCandidate\n );\n\n if (exact >= 0) {\n return exact;\n }\n }\n\n for (const candidate of candidates) {\n const normalizedCandidate =\n normalizeText(candidate);\n\n const partial =\n normalizedHeader.findIndex(\n (header) =>\n header.includes(\n normalizedCandidate\n )\n );\n\n if (partial >= 0) {\n return partial;\n }\n }\n\n return -1;\n}\n\nfunction firstAt(row, indexes) {\n for (const index of indexes) {\n if (\n index >= 0 &&\n String(row[index] ?? '').trim()\n ) {\n return String(row[index]);\n }\n }\n\n return '';\n}\n\nconst ids =\n prepared.sheetIds || {};\n\nfunction rowIdentity(\n sheetId,\n row,\n normalizedHeader\n) {\n const accountIndex =\n indexMatching(\n normalizedHeader,\n [\n 'Cuenta',\n 'Cuenta Banco',\n 'Cuenta Destino',\n ]\n );\n\n const account =\n accountIndex >= 0\n ? normalizeAccount(\n row[accountIndex]\n )\n : '';\n\n if (account) {\n return `account:${account}`;\n }\n\n if (\n Number(sheetId) ===\n Number(ids.nominaVsBanco)\n ) {\n const employeeIndex =\n indexMatching(\n normalizedHeader,\n ['Empleado', 'Nombre en nómina']\n );\n\n return `employee:${normalizeText(\n firstAt(\n row,\n [employeeIndex]\n )\n )}`;\n }\n\n if (\n Number(sheetId) ===\n Number(ids.bancoSinNomina)\n ) {\n const nameIndex =\n indexMatching(\n normalizedHeader,\n [\n 'Empleado Banco',\n 'Nombre en banco',\n ]\n );\n\n const currencyIndex =\n indexMatching(\n normalizedHeader,\n ['Moneda']\n );\n\n return [\n 'bank-no-payroll',\n normalizeText(\n firstAt(row, [nameIndex])\n ),\n normalizeText(\n firstAt(row, [currencyIndex])\n ),\n ].join(':');\n }\n\n if (\n Number(sheetId) ===\n Number(ids.bancoSinBamboo)\n ) {\n const nameIndex =\n indexMatching(\n normalizedHeader,\n ['Nombre en banco']\n );\n\n const holderIndex =\n indexMatching(\n normalizedHeader,\n ['Nombre del cuentahabiente']\n );\n\n return [\n 'bank-no-bamboo',\n normalizeText(\n firstAt(row, [nameIndex])\n ),\n normalizeText(\n firstAt(row, [holderIndex])\n ),\n ].join(':');\n }\n\n if (\n Number(sheetId) ===\n Number(ids.diferenciasNombreBanco)\n ) {\n const nameOne =\n indexMatching(\n normalizedHeader,\n [\n 'Nombre en Archivo',\n 'Nombre en nómina',\n ]\n );\n\n const nameTwo =\n indexMatching(\n normalizedHeader,\n [\n 'Nombre del Cuentahabiente',\n 'Nombre en banco',\n ]\n );\n\n return [\n 'name-difference',\n normalizeText(\n firstAt(row, [nameOne])\n ),\n normalizeText(\n firstAt(row, [nameTwo])\n ),\n ].join(':');\n }\n\n return '';\n}\n\nfunction collectRegularResolutions(\n sheetId,\n matrix\n) {\n const result = new Map();\n const info =\n findHeaderInfo(matrix);\n\n if (!info) {\n return result;\n }\n\n for (\n let rowIndex =\n info.rowIndex + 1;\n rowIndex < matrix.length;\n rowIndex++\n ) {\n const row =\n Array.isArray(matrix[rowIndex])\n ? matrix[rowIndex]\n : [];\n\n const resolution =\n String(\n row[\n info.resolutionIndex\n ] ?? ''\n ).trim();\n\n if (!resolution) {\n continue;\n }\n\n const key =\n rowIdentity(\n sheetId,\n row,\n info.normalized\n );\n\n if (key) {\n result.set(\n key,\n resolution\n );\n }\n }\n\n return result;\n}\n\nfunction collectWrongAccountResolutions(\n matrix\n) {\n const result = new Map();\n const info =\n findHeaderInfo(matrix);\n\n if (!info) {\n return result;\n }\n\n const fieldIndex =\n indexMatching(\n info.normalized,\n ['Campo']\n );\n\n const detailIndex =\n indexMatching(\n info.normalized,\n ['Detalle']\n );\n\n let currentEmployee = '';\n\n for (\n let rowIndex =\n info.rowIndex + 1;\n rowIndex < matrix.length;\n rowIndex++\n ) {\n const row =\n Array.isArray(matrix[rowIndex])\n ? matrix[rowIndex]\n : [];\n\n const field =\n normalizeText(\n row[fieldIndex] ?? ''\n );\n\n const detail =\n String(\n row[detailIndex] ?? ''\n );\n\n if (field === 'empleado') {\n currentEmployee =\n normalizeText(detail);\n }\n\n const resolution =\n String(\n row[\n info.resolutionIndex\n ] ?? ''\n ).trim();\n\n if (\n resolution &&\n currentEmployee &&\n field\n ) {\n result.set(\n `${currentEmployee}|${field}`,\n resolution\n );\n }\n }\n\n return result;\n}\n\nconst existingSheets =\n Array.isArray(spreadsheet.sheets)\n ? spreadsheet.sheets\n : [];\n\nconst sheetById =\n new Map();\n\nfor (const sheet of existingSheets) {\n const sheetId =\n sheet?.properties?.sheetId;\n\n if (\n sheetId !== null &&\n sheetId !== undefined\n ) {\n sheetById.set(\n Number(sheetId),\n sheet\n );\n }\n}\n\nconst resolutionMaps =\n new Map();\n\nif (reusingSheet) {\n for (\n const [key, rawId]\n of Object.entries(ids)\n ) {\n const sheetId =\n Number(rawId);\n\n const sheet =\n sheetById.get(sheetId);\n\n if (!sheet) {\n continue;\n }\n\n const matrix =\n sheetMatrix(sheet);\n\n const map =\n key === 'cuentaMalDigitada'\n ? collectWrongAccountResolutions(\n matrix\n )\n : collectRegularResolutions(\n sheetId,\n matrix\n );\n\n resolutionMaps.set(\n sheetId,\n map\n );\n }\n}\n\nfunction titleFromRange(range) {\n const match =\n String(range || '')\n .match(/^'([^']+)'!/);\n\n return match?.[1] || '';\n}\n\nconst desiredTitles =\n prepared.sheetTitles || {};\n\nconst titleToId =\n new Map();\n\nfor (\n const [key, title]\n of Object.entries(desiredTitles)\n) {\n if (\n ids[key] !== undefined\n ) {\n titleToId.set(\n String(title),\n Number(ids[key])\n );\n }\n}\n\nlet preservedResolutionsCount = 0;\n\nconst valueBatchBody =\n JSON.parse(\n JSON.stringify(\n prepared.valueBatchBody || {\n valueInputOption:\n 'USER_ENTERED',\n data: [],\n }\n )\n );\n\nfor (\n const dataEntry\n of valueBatchBody.data || []\n) {\n const title =\n titleFromRange(\n dataEntry.range\n );\n\n const sheetId =\n titleToId.get(title);\n\n if (\n sheetId === undefined ||\n !Array.isArray(\n dataEntry.values\n )\n ) {\n continue;\n }\n\n const info =\n findHeaderInfo(\n dataEntry.values\n );\n\n if (!info) {\n continue;\n }\n\n const oldMap =\n resolutionMaps.get(\n Number(sheetId)\n ) || new Map();\n\n if (\n Number(sheetId) ===\n Number(ids.cuentaMalDigitada)\n ) {\n const fieldIndex =\n indexMatching(\n info.normalized,\n ['Campo']\n );\n\n const detailIndex =\n indexMatching(\n info.normalized,\n ['Detalle']\n );\n\n let currentEmployee = '';\n\n for (\n let rowIndex =\n info.rowIndex + 1;\n rowIndex <\n dataEntry.values.length;\n rowIndex++\n ) {\n const row =\n dataEntry.values[\n rowIndex\n ];\n\n const field =\n normalizeText(\n row[fieldIndex] ?? ''\n );\n\n const detail =\n String(\n row[detailIndex] ?? ''\n );\n\n if (field === 'empleado') {\n currentEmployee =\n normalizeText(detail);\n }\n\n const key =\n currentEmployee && field\n ? `${currentEmployee}|${field}`\n : '';\n\n if (\n key &&\n oldMap.has(key)\n ) {\n while (\n row.length <=\n info.resolutionIndex\n ) {\n row.push('');\n }\n\n row[\n info.resolutionIndex\n ] = oldMap.get(key);\n\n preservedResolutionsCount++;\n }\n }\n\n continue;\n }\n\n for (\n let rowIndex =\n info.rowIndex + 1;\n rowIndex <\n dataEntry.values.length;\n rowIndex++\n ) {\n const row =\n dataEntry.values[\n rowIndex\n ];\n\n const key =\n rowIdentity(\n sheetId,\n row,\n info.normalized\n );\n\n if (\n key &&\n oldMap.has(key)\n ) {\n while (\n row.length <=\n info.resolutionIndex\n ) {\n row.push('');\n }\n\n row[\n info.resolutionIndex\n ] = oldMap.get(key);\n\n preservedResolutionsCount++;\n }\n }\n}\n\nconst desiredSheets =\n Array.isArray(\n prepared\n .createSpreadsheetBody\n ?.sheets\n )\n ? prepared\n .createSpreadsheetBody\n .sheets\n : [];\n\nconst existingIds =\n new Set(\n existingSheets\n .map(\n (sheet) =>\n Number(\n sheet?.properties\n ?.sheetId\n )\n )\n .filter(\n Number.isFinite\n )\n );\n\nconst desiredIds =\n new Set(\n desiredSheets\n .map(\n (sheet) =>\n Number(\n sheet?.properties\n ?.sheetId\n )\n )\n .filter(\n Number.isFinite\n )\n );\n\nconst newlyAddedSheetIds =\n new Set();\n\nconst structureRequests = [\n {\n updateSpreadsheetProperties: {\n properties: {\n title:\n prepared.spreadsheetTitle ||\n prepared\n .createSpreadsheetBody\n ?.properties?.title ||\n spreadsheet.properties\n ?.title ||\n 'Cruce de Cuentas GLM',\n },\n fields: 'title',\n },\n },\n];\n\nif (reusingSheet) {\n const optionalId =\n Number(\n ids.cuentaMalDigitada\n );\n\n if (\n Number.isFinite(optionalId) &&\n existingIds.has(optionalId) &&\n !desiredIds.has(optionalId)\n ) {\n structureRequests.push({\n deleteSheet: {\n sheetId: optionalId,\n },\n });\n\n existingIds.delete(\n optionalId\n );\n }\n\n for (\n let desiredIndex = 0;\n desiredIndex <\n desiredSheets.length;\n desiredIndex++\n ) {\n const desired =\n desiredSheets[\n desiredIndex\n ];\n\n const props =\n desired.properties || {};\n\n const desiredId =\n Number(props.sheetId);\n\n if (\n !Number.isFinite(\n desiredId\n )\n ) {\n continue;\n }\n\n const existing =\n existingSheets.find(\n (sheet) =>\n Number(\n sheet?.properties\n ?.sheetId\n ) === desiredId\n );\n\n if (!existing) {\n const sameTitle =\n existingSheets.find(\n (sheet) =>\n String(\n sheet?.properties\n ?.title || ''\n ) ===\n String(\n props.title || ''\n )\n );\n\n if (\n sameTitle &&\n Number(\n sameTitle\n ?.properties\n ?.sheetId\n ) !== desiredId\n ) {\n structureRequests.push({\n deleteSheet: {\n sheetId:\n Number(\n sameTitle\n .properties\n .sheetId\n ),\n },\n });\n }\n\n structureRequests.push({\n addSheet: {\n properties: {\n ...props,\n // El índice es 0-based. Así \"05 Cuenta Mal Digitada\"\n // vuelve exactamente antes de \"06 Resumen\" cuando reaparece.\n index:\n desiredIndex,\n gridProperties: {\n ...(props\n .gridProperties ||\n {}),\n frozenRowCount: 1,\n },\n },\n },\n });\n\n newlyAddedSheetIds.add(\n desiredId\n );\n\n continue;\n }\n\n const currentTitle =\n String(\n existing.properties\n ?.title || ''\n );\n\n const desiredTitle =\n String(\n props.title || ''\n );\n\n const currentIndex =\n Number(\n existing.properties\n ?.index\n );\n\n const titleNeedsUpdate =\n Boolean(\n desiredTitle &&\n currentTitle !==\n desiredTitle\n );\n\n const indexNeedsUpdate =\n Number.isFinite(\n currentIndex\n ) &&\n currentIndex !==\n desiredIndex;\n\n if (\n titleNeedsUpdate ||\n indexNeedsUpdate\n ) {\n const properties = {\n sheetId:\n desiredId,\n };\n\n const fields = [];\n\n if (titleNeedsUpdate) {\n properties.title =\n desiredTitle;\n fields.push('title');\n }\n\n if (indexNeedsUpdate) {\n properties.index =\n desiredIndex;\n fields.push('index');\n }\n\n structureRequests.push({\n updateSheetProperties: {\n properties,\n fields:\n fields.join(','),\n },\n });\n }\n }\n}\n\nconst originalFormatRequests =\n Array.isArray(\n prepared\n .formatBatchBody\n ?.requests\n )\n ? prepared\n .formatBatchBody\n .requests\n : [];\n\n/*\n * IMPORTANTE AL REUTILIZAR UN REPORTE:\n *\n * \"Actualizar estructura Google Sheet\" se ejecuta ANTES de\n * \"Formatear Google Sheet\". Cuando la estructura elimina una hoja\n * (por ejemplo, \"05 Cuenta Mal Digitada\" deja de ser necesaria),\n * Google elimina automáticamente también los ProtectedRange de esa hoja.\n *\n * Por eso NO debemos intentar borrar después esos protectedRangeId en el\n * batch de formato, porque ya dejaron de existir y Google responde:\n * \"Invalid requests[x].deleteProtectedRange: No protected range with id\".\n *\n * Se identifican aquí todas las hojas que serán eliminadas por el batch\n * de estructura y se excluyen sus protecciones del batch de formato.\n */\nconst sheetIdsScheduledForDeletion =\n new Set(\n structureRequests\n .map((request) =>\n Number(\n request?.deleteSheet?.sheetId\n )\n )\n .filter(Number.isFinite)\n );\n\nconst formatRequests = [];\nconst protectedRangeIdsScheduled =\n new Set();\n\nif (reusingSheet) {\n for (\n const sheet\n of existingSheets\n ) {\n const currentSheetId =\n Number(\n sheet?.properties?.sheetId\n );\n\n // Si esta hoja será eliminada en el paso de estructura, sus\n // protecciones también desaparecerán automáticamente.\n if (\n Number.isFinite(currentSheetId) &&\n sheetIdsScheduledForDeletion.has(\n currentSheetId\n )\n ) {\n continue;\n }\n\n const protections =\n Array.isArray(\n sheet.protectedRanges\n )\n ? sheet.protectedRanges\n : [];\n\n for (\n const protection\n of protections\n ) {\n const description =\n String(\n protection.description ||\n ''\n );\n\n const protectedRangeId =\n Number(\n protection\n .protectedRangeId\n );\n\n if (\n description.startsWith(\n 'Protección GLM'\n ) &&\n Number.isFinite(\n protectedRangeId\n ) &&\n !protectedRangeIdsScheduled.has(\n protectedRangeId\n )\n ) {\n protectedRangeIdsScheduled.add(\n protectedRangeId\n );\n\n formatRequests.push({\n deleteProtectedRange: {\n protectedRangeId,\n },\n });\n }\n }\n }\n}\n\n\n/*\n * Limpieza visual al reutilizar un reporte.\n *\n * values:batchClear elimina el CONTENIDO de las filas antiguas, pero Google\n * Sheets conserva su formato. Si una ejecución anterior tenía cientos de\n * discrepancias y la nueva tiene pocas, podían quedar celdas vacías con el\n * fondo rojo/amarillo aplicado por la ejecución anterior.\n *\n * La corrección es deliberadamente limitada: solamente se limpia el\n * background de las filas que quedan DESPUÉS de la última fila escrita por\n * la nueva ejecución. No se toca ninguna fila vigente, encabezado,\n * Resolución preservada, protección, borde, ancho, fórmula ni lógica del\n * cruce.\n */\nif (reusingSheet) {\n for (\n const dataEntry\n of valueBatchBody.data || []\n ) {\n const title =\n titleFromRange(\n dataEntry.range\n );\n\n const currentSheetId =\n Number(\n titleToId.get(title)\n );\n\n if (\n !Number.isFinite(\n currentSheetId\n ) ||\n sheetIdsScheduledForDeletion.has(\n currentSheetId\n ) ||\n newlyAddedSheetIds.has(\n currentSheetId\n )\n ) {\n continue;\n }\n\n const existingSheet =\n sheetById.get(\n currentSheetId\n );\n\n if (!existingSheet) {\n continue;\n }\n\n const currentValues =\n Array.isArray(\n dataEntry.values\n )\n ? dataEntry.values\n : [];\n\n const writtenRowCount =\n currentValues.length;\n\n const writtenColumnCount =\n currentValues.reduce(\n (maximum, row) =>\n Math.max(\n maximum,\n Array.isArray(row)\n ? row.length\n : 0\n ),\n 0\n );\n\n const gridRowCount =\n Number(\n existingSheet\n ?.properties\n ?.gridProperties\n ?.rowCount || 0\n );\n\n if (\n writtenRowCount <= 0 ||\n writtenColumnCount <= 0 ||\n !Number.isFinite(\n gridRowCount\n ) ||\n gridRowCount <=\n writtenRowCount\n ) {\n continue;\n }\n\n formatRequests.push({\n repeatCell: {\n range: {\n sheetId:\n currentSheetId,\n startRowIndex:\n writtenRowCount,\n endRowIndex:\n gridRowCount,\n startColumnIndex: 0,\n endColumnIndex:\n writtenColumnCount,\n },\n cell: {\n userEnteredFormat: {\n backgroundColor: {\n red: 1,\n green: 1,\n blue: 1,\n },\n },\n },\n fields:\n 'userEnteredFormat.backgroundColor',\n },\n });\n }\n}\n\nfor (\n const request\n of originalFormatRequests\n) {\n if (\n reusingSheet &&\n request.mergeCells\n ) {\n const mergeSheetId =\n Number(\n request\n .mergeCells\n ?.range\n ?.sheetId\n );\n\n if (\n !newlyAddedSheetIds.has(\n mergeSheetId\n )\n ) {\n continue;\n }\n }\n\n formatRequests.push(\n request\n );\n}\n\nconst clearRanges =\n (valueBatchBody.data || [])\n .map(\n (entry) =>\n entry.range\n )\n .filter(Boolean);\n\nreturn [\n {\n json: {\n ok: true,\n stage:\n 'google_sheet_destino_preparado',\n spreadsheetId,\n reportUrl:\n `https://docs.google.com/spreadsheets/d/${spreadsheetId}/edit`,\n historyExists,\n reportUpdated:\n historyExists,\n reusingSheet,\n existingHistoricalId:\n report.id\n ? String(report.id)\n : '',\n reportIdentity:\n String(\n report.report_identity ||\n ''\n ),\n previousReport:\n report,\n preservedResolutionsCount,\n valueBatchBody,\n structureBatchBody: {\n requests:\n structureRequests,\n },\n clearBatchBody: {\n ranges: clearRanges,\n },\n formatBatchBody: {\n requests:\n formatRequests,\n },\n originalResponse:\n prepared.originalResponse ||\n {},\n },\n },\n];" + }, + "type": "n8n-nodes-base.code", + "typeVersion": 2, + "position": [ + 46128, + 55408 + ], + "id": "763f50f1-7fce-4325-a879-0408a15a788c", + "name": "Preparar actualización Google Sheet" + }, + { + "parameters": { + "method": "POST", + "url": "={{ 'https://sheets.googleapis.com/v4/spreadsheets/' + $('Preparar actualización Google Sheet').first().json.spreadsheetId + ':batchUpdate' }}", + "authentication": "predefinedCredentialType", + "nodeCredentialType": "googleOAuth2Api", + "sendBody": true, + "specifyBody": "json", + "jsonBody": "={{ $('Preparar actualización Google Sheet').first().json.structureBatchBody }}", + "options": { + "timeout": 60000 + } + }, + "type": "n8n-nodes-base.httpRequest", + "typeVersion": 4.4, + "position": [ + 46368, + 55408 + ], + "id": "89f37d09-868e-4dcb-89f5-af7893ca1cb9", + "name": "Actualizar estructura Google Sheet", + "credentials": { + "googleOAuth2Api": { + "id": "dQ1MJSJSWcoWYcb8", + "name": "Google account - Isaac Producción" + } + } + }, + { + "parameters": { + "method": "POST", + "url": "={{ 'https://sheets.googleapis.com/v4/spreadsheets/' + $('Preparar actualización Google Sheet').first().json.spreadsheetId + '/values:batchClear' }}", + "authentication": "predefinedCredentialType", + "nodeCredentialType": "googleOAuth2Api", + "sendBody": true, + "specifyBody": "json", + "jsonBody": "={{ $('Preparar actualización Google Sheet').first().json.clearBatchBody }}", + "options": { + "timeout": 60000 + } + }, + "type": "n8n-nodes-base.httpRequest", + "typeVersion": 4.4, + "position": [ + 46608, + 55408 + ], + "id": "d271a0df-4ec5-4e72-8bab-3b27c18979c0", + "name": "Limpiar Google Sheet", + "credentials": { + "googleOAuth2Api": { + "id": "dQ1MJSJSWcoWYcb8", + "name": "Google account - Isaac Producción" + } + } } ], "connections": { @@ -2463,7 +3015,7 @@ "main": [ [ { - "node": "Crear Google Sheet", + "node": "Buscar reporte existente Supabase", "type": "main", "index": 0 } @@ -2474,7 +3026,7 @@ "main": [ [ { - "node": "Escribir Google Sheet", + "node": "Leer Google Sheet actual", "type": "main", "index": 0 } @@ -2554,6 +3106,11 @@ "node": "Preparar respuesta final", "type": "main", "index": 0 + }, + { + "node": "Preparar correo reporte generado", + "type": "main", + "index": 0 } ] ] @@ -2603,6 +3160,28 @@ ] }, "Merge - Agregar BambooHR": { + "main": [ + [ + { + "node": "Obtener alias BambooHR Supabase", + "type": "main", + "index": 0 + } + ] + ] + }, + "Preparar correo reporte generado": { + "main": [ + [ + { + "node": "Enviar correo reporte generado", + "type": "main", + "index": 0 + } + ] + ] + }, + "Obtener alias BambooHR Supabase": { "main": [ [ { @@ -2612,18 +3191,73 @@ } ] ] + }, + "Buscar reporte existente Supabase": { + "main": [ + [ + { + "node": "Crear Google Sheet", + "type": "main", + "index": 0 + } + ] + ] + }, + "Leer Google Sheet actual": { + "main": [ + [ + { + "node": "Preparar actualización Google Sheet", + "type": "main", + "index": 0 + } + ] + ] + }, + "Preparar actualización Google Sheet": { + "main": [ + [ + { + "node": "Actualizar estructura Google Sheet", + "type": "main", + "index": 0 + } + ] + ] + }, + "Actualizar estructura Google Sheet": { + "main": [ + [ + { + "node": "Limpiar Google Sheet", + "type": "main", + "index": 0 + } + ] + ] + }, + "Limpiar Google Sheet": { + "main": [ + [ + { + "node": "Escribir Google Sheet", + "type": "main", + "index": 0 + } + ] + ] } }, "authors": "Isaac Aracena", - "name": "Version afef0d83", + "name": "Version ec3e7570", "description": "", - "autosaved": false, + "autosaved": true, "workflowPublishHistory": [ { - "createdAt": "2026-07-27T15:00:48.936Z", - "id": 3496, + "createdAt": "2026-08-14T12:10:58.750Z", + "id": 4684, "workflowId": "d3vXYr7ucbaiU5ct", - "versionId": "afef0d83-31fc-44b2-87dd-05536d3520f2", + "versionId": "ec3e7570-107e-499e-ba84-ae974344a33b", "event": "activated", "userId": "0a88c0b1-928e-4412-896e-c5d1c99b2029" }