From e50f423304b1d93b4b5200cf25a6e33efe9e371e Mon Sep 17 00:00:00 2001
From: Rob <rob.tranquillo@gmx.de>
Date: Tue, 23 Jun 2026 11:49:54 +0200
Subject: [PATCH] =?UTF-8?q?input=20validierung=20f=C3=BCr=20Qualifikations?=
 =?UTF-8?q?feld.=20Wenn=20keine=20Daten=20->=20Platzhalter=20im=20template?=
 =?UTF-8?q?=20l=C3=B6schen?=
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Content-Transfer-Encoding: 8bit

---
 coldrun.py       | 14 +++++++++++++-
 src/validator.py | 43 +++++++++++++++++++++++++++++++++++++++++++
 2 files changed, 56 insertions(+), 1 deletion(-)

diff --git a/coldrun.py b/coldrun.py
index 052e28a..0918c1e 100644
--- a/coldrun.py
+++ b/coldrun.py
@@ -22,7 +22,7 @@ from src.config import (
     get_available_templates,
 )
 from src.parser import parse_input_file, group_by_employee, get_unique_employees
-from src.validator import validate_template
+from src.validator import validate_input_file, validate_template
 from src.writer import generate_activity_reports
 
 
@@ -70,6 +70,18 @@ def main():
     total = tpl_result.info.get("total_fields", "?")
     print(f"[OK]   {found}/{total} Platzhalter im Template gefunden.")
 
+    # ── Input validieren ──────────────────────────────────────────────
+    print()
+    print("[INFO] Validiere Input-Datei…")
+    inp_result = validate_input_file(input_path, config.input_schema, config.month_sheet_pattern)
+    if not inp_result.is_valid:
+        for err in inp_result.errors:
+            print(f"[FEHLER] {err}")
+        return 1
+    if inp_result.warnings:
+        for warn in inp_result.warnings:
+            print(f"[WARN]  {warn}")
+
     # ── Input parsen ──────────────────────────────────────────────────
     print()
     print("[INFO] Parse Input-Datei…")
diff --git a/src/validator.py b/src/validator.py
index ca18170..d557867 100644
--- a/src/validator.py
+++ b/src/validator.py
@@ -81,6 +81,49 @@ def validate_input_file(
     info["sheets_with_data"] = sheets_with_data
     wb.close()
 
+    # ── Dateninhalts-Prüfung: leere Pflichtfelder ───────────────────
+    required_fields = [f for f in schema if f.required]
+    if required_fields and sheets_with_data > 0:
+        # Mapping field_name → column index
+        field_col_map: dict[str, int] = {}
+        for f in required_fields:
+            field_col_map[f.field_name] = column_index_from_string(f.column) - 1
+        max_col = max(field_col_map.values()) + 1
+
+        # {field_name: {name1, name2, ...}} für leere Pflichtwerte
+        empty_by_field: dict[str, set[str]] = {f.field_name: set() for f in required_fields}
+
+        wb2 = load_workbook(filepath, data_only=True)
+        for sheet_name in wb2.sheetnames:
+            if not is_month_sheet(sheet_name, month_sheet_pattern):
+                continue
+            ws = wb2[sheet_name]
+            if ws.max_row < 2:
+                continue
+            for row in ws.iter_rows(min_row=2, max_row=ws.max_row, min_col=1, max_col=max_col, values_only=True):
+                name_val = str(row[field_col_map.get("Name", 0)] or "").strip() if len(row) > field_col_map.get("Name", 0) else ""
+                if not name_val:
+                    continue
+                for f in required_fields:
+                    col_idx = field_col_map[f.field_name]
+                    if col_idx < len(row):
+                        cell_val = str(row[col_idx] or "").strip() if row[col_idx] is not None else ""
+                        if not cell_val:
+                            empty_by_field[f.field_name].add(name_val)
+        wb2.close()
+
+        for field_name, names in empty_by_field.items():
+            if names:
+                sorted_names = sorted(names)
+                total = len(sorted_names)
+                preview = sorted_names[:5]
+                suffix = " …" if total > 5 else ""
+                warnings.append(
+                    f"Feld '{field_name}' ist leer bei {total} Person(en): "
+                    f"{', '.join(preview)}{suffix}"
+                )
+    # ──────────────────────────────────────────────────────────────────
+
     if sheets_with_data == 0:
         errors.append("Kein Sheet mit den erwarteten Spalten gefunden.")