Checkpoint: Ajout de la projection annuelle prévisionnel-réel dans Masse salariale : import contrôlé du fichier modèle 2025-2027, réel 2026 provenant uniquement des liasses Salaires, ajustements administrateur limités aux primes et évolutions de l'année courante/future, conservation des centimes, modèle de calcul testé et documentation. 72 tests, TypeScript et build validés.

scripts/analyzeMasseSalarialeWorkbook.py

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+"""Analyse la structure du classeur de masse salariale sans afficher d'identité ni de montant."""
+from collections import Counter
+from pathlib import Path
+import re
+
+from openpyxl import load_workbook
+
+
+workbook_path = Path("/home/ubuntu/upload/TableaurecapMassesalarialeSANTINOVA-28.08.26.xlsx")
+workbook = load_workbook(workbook_path, data_only=False)
+values_workbook = load_workbook(workbook_path, data_only=True)
+
+for sheet in workbook.worksheets:
+    print(f"sheet={sheet.title}|rows={sheet.max_row}|cols={sheet.max_column}")
+    for row_index in range(1, min(sheet.max_row, 8) + 1):
+        values = []
+        for column_index in range(1, sheet.max_column + 1):
+            value = sheet.cell(row_index, column_index).value
+            if isinstance(value, str) and value.startswith("="):
+                value = f"FORMULA:{value}"
+            if value is not None:
+                values.append(f"C{column_index}={value}")
+        if values:
+            print(f"row={row_index}|{' ; '.join(values)}")
+    formula_count = sum(
+        1
+        for row in sheet.iter_rows()
+        for cell in row
+        if isinstance(cell.value, str) and cell.value.startswith("=")
+    )
+    print(f"formula_count={formula_count}")
+
+salary_sheet = workbook["Masse salariale"]
+data_rows = [row for row in range(6, salary_sheet.max_row + 1) if salary_sheet.cell(row, 2).value]
+print(f"salaries_with_identifier={len(data_rows)}")
+for column, label in {
+    8: "2025_brut_avec_primes",
+    9: "2025_astreintes",
+    11: "2025_taux_charges",
+    12: "2025_evolution",
+    15: "2026_astreintes",
+    17: "2026_taux_charges",
+    18: "2026_evolution",
+    21: "2027_astreintes",
+    23: "2027_evolution",
+    24: "2027_prime",
+}.items():
+    populated = sum(salary_sheet.cell(row, column).value is not None for row in data_rows)
+    formulas = sum(
+        isinstance(salary_sheet.cell(row, column).value, str)
+        and salary_sheet.cell(row, column).value.startswith("=")
+        for row in data_rows
+    )
+    print(f"field={label}|populated={populated}|formulas={formulas}")
+
+for column, label in {7: "2025_hors_astreinte", 14: "2026_avec_primes", 20: "2027_avec_primes"}.items():
+    formulas = Counter()
+    for row in data_rows:
+        value = salary_sheet.cell(row, column).value
+        if isinstance(value, str) and value.startswith("="):
+            formulas[re.sub(r"\d+", "#", value)] += 1
+    for formula, count in formulas.items():
+        print(f"formula_pattern={label}|count={count}|formula={formula}")
+
+values_sheet = values_workbook["Masse salariale"]
+for column, label in {7: "2025_hors_astreinte", 10: "2025_mensuel", 13: "2026_hors_astreinte", 14: "2026_avec_primes", 16: "2026_mensuel", 19: "2027_hors_astreinte", 20: "2027_avec_primes", 22: "2027_mensuel"}.items():
+    calculated = sum(values_sheet.cell(row, column).value is not None for row in data_rows)
+    print(f"cached_value={label}|populated={calculated}")

scripts/diagnoseMasseSalarialeWorkbook.ts

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+import XLSX from "xlsx";
+
+const workbook = XLSX.readFile("/home/ubuntu/upload/TableaurecapMassesalarialeSANTINOVA-28.08.26.xlsx", { cellDates: true });
+const sheet = workbook.Sheets["Masse salariale"];
+if (!sheet) throw new Error("Feuille Masse salariale introuvable");
+const rows = XLSX.utils.sheet_to_json<Array<unknown>>(sheet, { header: 1, raw: true, defval: null });
+const candidates = rows.slice(5).filter((row) => row[1] !== null && row[1] !== undefined && row[1] !== "");
+const typeCount = (index: number) => candidates.reduce<Record<string, number>>((counts, row) => {
+  const kind = row[index] === null ? "null" : row[index] instanceof Date ? "date" : typeof row[index];
+  counts[kind] = (counts[kind] ?? 0) + 1;
+  return counts;
+}, {});
+console.log(JSON.stringify({
+  candidates: candidates.length,
+  matriculeTypes: typeCount(1),
+  nomTypes: typeCount(2),
+  prenomTypes: typeCount(3),
+  posteTypes: typeCount(4),
+  dateEmbaucheTypes: typeCount(5),
+}));

scripts/importMasseSalarialeWorkbook.ts

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+import XLSX from "xlsx";
+import { importMasseSalariale } from "../server/db";
+import { parseMasseSalarialeWorkbookRows } from "../server/masseSalarialeWorkbookImport";
+
+const workbookPath = "/home/ubuntu/upload/TableaurecapMassesalarialeSANTINOVA-28.08.26.xlsx";
+const workbook = XLSX.readFile(workbookPath, { cellDates: true });
+const sheet = workbook.Sheets["Masse salariale"];
+if (!sheet) throw new Error("Feuille Masse salariale introuvable");
+
+const rows = XLSX.utils.sheet_to_json<Array<string | number | Date | null>>(sheet, {
+  header: 1,
+  raw: true,
+  defval: null,
+});
+const parsed = parseMasseSalarialeWorkbookRows(rows);
+const result = await importMasseSalariale(parsed.salaries, parsed.remunerations, {
+  replaceForecastYears: [2025, 2026, 2027],
+});
+
+const byYear = parsed.remunerations.reduce<Record<number, number>>((counts, row) => {
+  counts[row.annee] = (counts[row.annee] ?? 0) + 1;
+  return counts;
+}, {});
+console.log(JSON.stringify({ salaries: result.salaries, remunerationsByYear: byYear }));