Fix inherited contract handling and document smoke test blockers

.github/copilot-tasks.md

@@ -88,8 +88,10 @@ Projekt vollstaendig umsetzen: aus PS_PW.xlsx und Stellenbeschreibungen.xlsx mon
 
 ## Phase 8 - Tests und Abnahme
 - [ ] T15: Smoke-Test fuer End-to-End-Lauf
-	- [ ] Beispielmonat ausfuehren
+	- [x] Beispielmonat ausfuehren
 	- [ ] Dateien in `output/` entstehen erwartungsgemaess
+	- [ ] Blocker: Masterdata-Matches fehlen fuer mehrere aktive Namen.
+	- [ ] Blocker: Template-Regel verletzt (aktuell 5 Sheets statt 1) und template_targets sind noch nicht konfiguriert.
 - [ ] T16: Fachtests definieren und ausfuehren
 	- [ ] Mehrfachzuordnung eines Mitarbeiters
 	- [ ] Fehlender Match

src/taetigkeitsnachweis/matcher.py

@@ -3,6 +3,7 @@
 from __future__ import annotations
 
 import re
+import unicodedata
 from typing import Any
 
 from .errors import ValidationError
@@ -21,7 +22,30 @@ def calculate_foerderquote_percent(allocation: AllocationRecord, precision: int
 
 def _normalize_name(name: str) -> str:
     compact = re.sub(r"\s+", " ", name.strip())
-    return compact.casefold()
+    no_accents = "".join(
+        ch for ch in unicodedata.normalize("NFKD", compact) if not unicodedata.combining(ch)
+    )
+    return no_accents.casefold()
+
+
+def _name_keys(name: str) -> set[str]:
+    normalized = _normalize_name(name)
+    keys = {normalized}
+
+    if "," in normalized:
+        last_name, first_name = [part.strip() for part in normalized.split(",", 1)]
+        if first_name and last_name:
+            keys.add(f"{first_name} {last_name}")
+            keys.add(f"{last_name}, {first_name}")
+    else:
+        tokens = normalized.split()
+        if len(tokens) >= 2:
+            first_name = tokens[0]
+            last_name = tokens[-1]
+            keys.add(f"{first_name} {last_name}")
+            keys.add(f"{last_name}, {first_name}")
+
+    return {re.sub(r"\s+", " ", key).strip() for key in keys if key.strip()}
 
 
 def _with_tolerance(
@@ -43,14 +67,19 @@ def match_assignments(
 
     master_by_name: dict[str, list[MasterDataRecord]] = {}
     for record in masterdata_records:
-        master_by_name.setdefault(_normalize_name(record.name), []).append(record)
+        for key in _name_keys(record.name):
+            master_by_name.setdefault(key, []).append(record)
 
     matched: list[MatchedAssignment] = []
     issues: list[ValidationIssue] = []
 
     for allocation in allocation_records:
-        normalized_name = _normalize_name(allocation.employee_name)
-        candidates = master_by_name.get(normalized_name, [])
+        candidate_map: dict[str, MasterDataRecord] = {}
+        for key in _name_keys(allocation.employee_name):
+            for candidate in master_by_name.get(key, []):
+                candidate_map[candidate.record_id] = candidate
+
+        candidates = list(candidate_map.values())
         if not candidates:
             issues.append(
                 ValidationIssue(

src/taetigkeitsnachweis/parser.py

@@ -1,4 +1,4 @@
-"""Parsing and normalization for source workbooks."""
+"""Parsing and normalization for source workbooks."""
 
 from __future__ import annotations
 
@@ -14,262 +14,270 @@ from .models import AllocationRecord, MasterDataRecord
 
 
 def _to_text(value: Any) -> str:
-	if value is None:
-		return ""
-	return str(value).strip()
+    if value is None:
+        return ""
+    return str(value).strip()
 
 
 def _to_float(value: Any, field_name: str) -> float:
-	if value is None or str(value).strip() == "":
-		raise ValidationError(f"Missing numeric value for {field_name}.")
+    if value is None or str(value).strip() == "":
+        raise ValidationError(f"Missing numeric value for {field_name}.")
 
-	text = str(value).strip().replace(",", ".")
-	try:
-		return float(text)
-	except ValueError as exc:
-		raise ValidationError(f"Invalid numeric value for {field_name}: {value}") from exc
+    text = str(value).strip().replace(",", ".")
+    try:
+        return float(text)
+    except ValueError as exc:
+        raise ValidationError(f"Invalid numeric value for {field_name}: {value}") from exc
+
+
+def _to_float_or_none(value: Any) -> float | None:
+    if value is None or str(value).strip() == "":
+        return None
+
+    text = str(value).strip().replace(",", ".")
+    try:
+        return float(text)
+    except ValueError:
+        return None
 
 
 def _parse_german_decimal(
-	value: Any,
-	field_name: str,
-	decimal_separator: str,
-	thousands_separator: str,
+    value: Any,
+    field_name: str,
+    decimal_separator: str,
+    thousands_separator: str,
 ) -> float:
-	if value is None or str(value).strip() == "":
-		raise ValidationError(f"Missing numeric value for {field_name}.")
+    if value is None or str(value).strip() == "":
+        raise ValidationError(f"Missing numeric value for {field_name}.")
 
-	text = str(value).strip()
-	if thousands_separator:
-		text = text.replace(thousands_separator, "")
-	if decimal_separator:
-		text = text.replace(decimal_separator, ".")
+    text = str(value).strip()
+    if thousands_separator:
+        text = text.replace(thousands_separator, "")
+    if decimal_separator:
+        text = text.replace(decimal_separator, ".")
 
-	try:
-		return float(text)
-	except ValueError as exc:
-		raise ValidationError(f"Invalid numeric value for {field_name}: {value}") from exc
+    try:
+        return float(text)
+    except ValueError as exc:
+        raise ValidationError(f"Invalid numeric value for {field_name}: {value}") from exc
 
 
 def _parse_month_marker(value: Any, prefix: str, date_format: str) -> datetime | None:
-	marker = _to_text(value)
-	if not marker:
-		return None
+    marker = _to_text(value)
+    if not marker:
+        return None
 
-	if not marker.lower().startswith(prefix.lower()):
-		return None
+    if not marker.lower().startswith(prefix.lower()):
+        return None
 
-	date_text = marker[len(prefix) :].strip()
-	return datetime.strptime(date_text, date_format)
+    date_text = marker[len(prefix) :].strip()
+    return datetime.strptime(date_text, date_format)
 
 
 def _resolve_month_column_index(
-	worksheet: Any,
-	header_row: int,
-	first_month_col: str,
-	target_month: int,
-	target_year: int,
-	month_prefix: str,
-	month_date_format: str,
+    worksheet: Any,
+    header_row: int,
+    first_month_col: str,
+    target_month: int,
+    target_year: int,
+    month_prefix: str,
+    month_date_format: str,
 ) -> int:
-	start_index = column_index_from_string(first_month_col)
-	matched_columns: list[int] = []
+    start_index = column_index_from_string(first_month_col)
+    matched_columns: list[int] = []
 
-	for column_index in range(start_index, worksheet.max_column + 1):
-		value = worksheet.cell(row=header_row, column=column_index).value
-		parsed = _parse_month_marker(value, month_prefix, month_date_format)
-		if parsed is None:
-			continue
-		if parsed.month == target_month and parsed.year == target_year:
-			matched_columns.append(column_index)
+    for column_index in range(start_index, worksheet.max_column + 1):
+        value = worksheet.cell(row=header_row, column=column_index).value
+        parsed = _parse_month_marker(value, month_prefix, month_date_format)
+        if parsed is None:
+            continue
+        if parsed.month == target_month and parsed.year == target_year:
+            matched_columns.append(column_index)
 
-	if len(matched_columns) == 0:
-		raise ValidationError(
-			f"No month column found for {target_month:02d}/{target_year} in allocation workbook."
-		)
+    if len(matched_columns) == 0:
+        raise ValidationError(
+            f"No month column found for {target_month:02d}/{target_year} in allocation workbook."
+        )
 
-	if len(matched_columns) > 1:
-		raise ValidationError(
-			f"Multiple month columns found for {target_month:02d}/{target_year} in allocation workbook."
-		)
+    if len(matched_columns) > 1:
+        raise ValidationError(
+            f"Multiple month columns found for {target_month:02d}/{target_year} in allocation workbook."
+        )
 
-	return matched_columns[0]
+    return matched_columns[0]
 
 
 def _is_inactive_value(value: Any, inactive_values: list[Any]) -> bool:
-	normalized = _to_text(value)
-	if normalized in {"", "-"}:
-		return True
+    normalized = _to_text(value)
+    if normalized in {"", "-"}:
+        return True
 
-	for inactive in inactive_values:
-		if str(inactive).strip() == normalized:
-			return True
+    for inactive in inactive_values:
+        if str(inactive).strip() == normalized:
+            return True
 
-	return False
+    return False
 
 
 def parse_allocation_records(
-	config: dict[str, Any],
-	report_month: int,
-	report_year: int,
-	project_root: Path,
+    config: dict[str, Any],
+    report_month: int,
+    report_year: int,
+    project_root: Path,
 ) -> list[AllocationRecord]:
-	allocation_cfg = config["allocation"]
-	columns_cfg = allocation_cfg["columns"]
-	files_cfg = config["files"]
-	sheets_cfg = config["sheets"]
-	paths_cfg = config["paths"]
+    allocation_cfg = config["allocation"]
+    columns_cfg = allocation_cfg["columns"]
+    files_cfg = config["files"]
+    sheets_cfg = config["sheets"]
+    paths_cfg = config["paths"]
 
-	workbook_path = (
-		project_root
-		/ paths_cfg["input_dir"]
-		/ files_cfg["allocation_workbook"]
-	)
+    workbook_path = (
+        project_root
+        / paths_cfg["input_dir"]
+        / files_cfg["allocation_workbook"]
+    )
 
-	if not workbook_path.exists():
-		raise ValidationError(f"Allocation workbook not found: {workbook_path}")
+    if not workbook_path.exists():
+        raise ValidationError(f"Allocation workbook not found: {workbook_path}")
 
-	workbook = load_workbook(workbook_path, data_only=True)
-	sheet_name = sheets_cfg["allocation"]
-	if sheet_name not in workbook.sheetnames:
-		raise ValidationError(f"Sheet '{sheet_name}' not found in {workbook_path.name}")
-	worksheet = workbook[sheet_name]
+    workbook = load_workbook(workbook_path, data_only=True)
+    sheet_name = sheets_cfg["allocation"]
+    if sheet_name not in workbook.sheetnames:
+        raise ValidationError(f"Sheet '{sheet_name}' not found in {workbook_path.name}")
+    worksheet = workbook[sheet_name]
 
-	header_row = allocation_cfg["header_month_marker_row"]
-	month_marker_cfg = allocation_cfg["month_marker"]
-	month_column = _resolve_month_column_index(
-		worksheet=worksheet,
-		header_row=header_row,
-		first_month_col=columns_cfg["first_month_column"],
-		target_month=report_month,
-		target_year=report_year,
-		month_prefix=month_marker_cfg["prefix"],
-		month_date_format=month_marker_cfg["date_format"],
-	)
+    header_row = allocation_cfg["header_month_marker_row"]
+    month_marker_cfg = allocation_cfg["month_marker"]
+    month_column = _resolve_month_column_index(
+        worksheet=worksheet,
+        header_row=header_row,
+        first_month_col=columns_cfg["first_month_column"],
+        target_month=report_month,
+        target_year=report_year,
+        month_prefix=month_marker_cfg["prefix"],
+        month_date_format=month_marker_cfg["date_format"],
+    )
 
-	employee_col = column_index_from_string(columns_cfg["employee_name"])
-	contract_col = column_index_from_string(columns_cfg["contract_hours_weekly"])
-	project_col = column_index_from_string(columns_cfg["project_key"])
-	remarks_col = column_index_from_string(columns_cfg["remarks"])
-	inactive_values = allocation_cfg.get("inactive_values", ["", "-", "0", 0])
+    employee_col = column_index_from_string(columns_cfg["employee_name"])
+    contract_col = column_index_from_string(columns_cfg["contract_hours_weekly"])
+    project_col = column_index_from_string(columns_cfg["project_key"])
+    remarks_col = column_index_from_string(columns_cfg["remarks"])
+    inactive_values = allocation_cfg.get("inactive_values", ["", "-", "0", 0])
 
-	current_employee = ""
-	current_contract_hours: float | None = None
-	normalized_records: list[AllocationRecord] = []
+    current_employee = ""
+    current_contract_hours: float | None = None
+    normalized_records: list[AllocationRecord] = []
 
-	for row_index in range(header_row + 1, worksheet.max_row + 1):
-		row_employee = _to_text(worksheet.cell(row=row_index, column=employee_col).value)
-		row_contract = worksheet.cell(row=row_index, column=contract_col).value
-		row_project = _to_text(worksheet.cell(row=row_index, column=project_col).value)
+    for row_index in range(header_row + 1, worksheet.max_row + 1):
+        row_employee = _to_text(worksheet.cell(row=row_index, column=employee_col).value)
+        row_contract = worksheet.cell(row=row_index, column=contract_col).value
+        row_project = _to_text(worksheet.cell(row=row_index, column=project_col).value)
 
-		if row_employee:
-			current_employee = row_employee
-			current_contract_hours = _to_float(
-				row_contract,
-				f"contract_hours_weekly row {row_index}",
-			)
+        if row_employee:
+            current_employee = row_employee
+            current_contract_hours = _to_float_or_none(row_contract)
 
-		if not row_project:
-			continue
+        if not row_project:
+            continue
 
-		if not current_employee or current_contract_hours is None:
-			raise ValidationError(
-				f"Project row {row_index} has no inherited employee context."
-			)
+        if not current_employee or current_contract_hours is None:
+            raise ValidationError(
+                f"Project row {row_index} has no inherited employee context."
+            )
 
-		month_value = worksheet.cell(row=row_index, column=month_column).value
-		if _is_inactive_value(month_value, inactive_values):
-			continue
+        month_value = worksheet.cell(row=row_index, column=month_column).value
+        if _is_inactive_value(month_value, inactive_values):
+            continue
 
-		funded_hours = _to_float(month_value, f"funded_hours row {row_index}")
-		if funded_hours <= 0:
-			continue
+        funded_hours = _to_float(month_value, f"funded_hours row {row_index}")
+        if funded_hours <= 0:
+            continue
 
-		if current_contract_hours <= 0:
-			raise ValidationError(
-				f"Contract hours must be > 0 for employee '{current_employee}'"
-			)
+        if current_contract_hours <= 0:
+            raise ValidationError(
+                f"Contract hours must be > 0 for employee '{current_employee}'"
+            )
 
-		notes = _to_text(worksheet.cell(row=row_index, column=remarks_col).value)
-		normalized_records.append(
-			AllocationRecord(
-				employee_name=current_employee,
-				contract_hours_weekly=current_contract_hours,
-				project_key=row_project,
-				funded_hours_weekly=funded_hours,
-				notes=notes,
-			)
-		)
+        notes = _to_text(worksheet.cell(row=row_index, column=remarks_col).value)
+        normalized_records.append(
+            AllocationRecord(
+                employee_name=current_employee,
+                contract_hours_weekly=current_contract_hours,
+                project_key=row_project,
+                funded_hours_weekly=funded_hours,
+                notes=notes,
+            )
+        )
 
-	workbook.close()
-	return normalized_records
+    workbook.close()
+    return normalized_records
 
 
 def parse_masterdata_records(
-	config: dict[str, Any],
-	project_root: Path,
+    config: dict[str, Any],
+    project_root: Path,
 ) -> list[MasterDataRecord]:
-	files_cfg = config["files"]
-	sheets_cfg = config["sheets"]
-	paths_cfg = config["paths"]
-	master_cfg = config["masterdata"]
-	columns_cfg = master_cfg["columns"]
-	decimal_cfg = master_cfg["decimal"]
+    files_cfg = config["files"]
+    sheets_cfg = config["sheets"]
+    paths_cfg = config["paths"]
+    master_cfg = config["masterdata"]
+    columns_cfg = master_cfg["columns"]
+    decimal_cfg = master_cfg["decimal"]
 
-	workbook_path = (
-		project_root
-		/ paths_cfg["input_dir"]
-		/ files_cfg["masterdata_workbook"]
-	)
+    workbook_path = (
+        project_root
+        / paths_cfg["input_dir"]
+        / files_cfg["masterdata_workbook"]
+    )
 
-	if not workbook_path.exists():
-		raise ValidationError(f"Master data workbook not found: {workbook_path}")
+    if not workbook_path.exists():
+        raise ValidationError(f"Master data workbook not found: {workbook_path}")
 
-	workbook = load_workbook(workbook_path, data_only=True)
-	sheet_name = sheets_cfg["masterdata"]
-	if sheet_name not in workbook.sheetnames:
-		raise ValidationError(f"Sheet '{sheet_name}' not found in {workbook_path.name}")
-	worksheet = workbook[sheet_name]
+    workbook = load_workbook(workbook_path, data_only=True)
+    sheet_name = sheets_cfg["masterdata"]
+    if sheet_name not in workbook.sheetnames:
+        raise ValidationError(f"Sheet '{sheet_name}' not found in {workbook_path.name}")
+    worksheet = workbook[sheet_name]
 
-	id_col = column_index_from_string(columns_cfg["id"])
-	antragsnummer_col = column_index_from_string(columns_cfg["antragsnummer"])
-	name_col = column_index_from_string(columns_cfg["name"])
-	qualifikation_col = column_index_from_string(columns_cfg["qualifikation"])
-	stellenanteil_col = column_index_from_string(columns_cfg["stellenanteil"])
-	funktion_col = column_index_from_string(columns_cfg["funktion"])
-	taetigkeit_col = column_index_from_string(columns_cfg["taetigkeit"])
+    id_col = column_index_from_string(columns_cfg["id"])
+    antragsnummer_col = column_index_from_string(columns_cfg["antragsnummer"])
+    name_col = column_index_from_string(columns_cfg["name"])
+    qualifikation_col = column_index_from_string(columns_cfg["qualifikation"])
+    stellenanteil_col = column_index_from_string(columns_cfg["stellenanteil"])
+    funktion_col = column_index_from_string(columns_cfg["funktion"])
+    taetigkeit_col = column_index_from_string(columns_cfg["taetigkeit"])
 
-	records: list[MasterDataRecord] = []
+    records: list[MasterDataRecord] = []
 
-	for row_index in range(2, worksheet.max_row + 1):
-		name = _to_text(worksheet.cell(row=row_index, column=name_col).value)
-		if not name:
-			continue
+    for row_index in range(2, worksheet.max_row + 1):
+        name = _to_text(worksheet.cell(row=row_index, column=name_col).value)
+        if not name:
+            continue
 
-		stellenanteil = _parse_german_decimal(
-			worksheet.cell(row=row_index, column=stellenanteil_col).value,
-			field_name=f"stellenanteil row {row_index}",
-			decimal_separator=decimal_cfg.get("decimal_separator", ","),
-			thousands_separator=decimal_cfg.get("thousands_separator", "."),
-		)
+        stellenanteil = _parse_german_decimal(
+            worksheet.cell(row=row_index, column=stellenanteil_col).value,
+            field_name=f"stellenanteil row {row_index}",
+            decimal_separator=decimal_cfg.get("decimal_separator", ","),
+            thousands_separator=decimal_cfg.get("thousands_separator", "."),
+        )
 
-		records.append(
-			MasterDataRecord(
-				record_id=_to_text(worksheet.cell(row=row_index, column=id_col).value),
-				antragsnummer=_to_text(
-					worksheet.cell(row=row_index, column=antragsnummer_col).value
-				),
-				name=name,
-				qualifikation=_to_text(
-					worksheet.cell(row=row_index, column=qualifikation_col).value
-				),
-				stellenanteil_percent=stellenanteil,
-				funktion=_to_text(worksheet.cell(row=row_index, column=funktion_col).value),
-				taetigkeit=_to_text(
-					worksheet.cell(row=row_index, column=taetigkeit_col).value
-				),
-			)
-		)
+        records.append(
+            MasterDataRecord(
+                record_id=_to_text(worksheet.cell(row=row_index, column=id_col).value),
+                antragsnummer=_to_text(
+                    worksheet.cell(row=row_index, column=antragsnummer_col).value
+                ),
+                name=name,
+                qualifikation=_to_text(
+                    worksheet.cell(row=row_index, column=qualifikation_col).value
+                ),
+                stellenanteil_percent=stellenanteil,
+                funktion=_to_text(worksheet.cell(row=row_index, column=funktion_col).value),
+                taetigkeit=_to_text(
+                    worksheet.cell(row=row_index, column=taetigkeit_col).value
+                ),
+            )
+        )
 
-	workbook.close()
-	return records
+    workbook.close()
+    return records

src/taetigkeitsnachweis/validator.py

@@ -194,22 +194,31 @@ def validate_sources(
 
     if len(month_matches) == 1:
         month_column = month_matches[0]
+        employee_col = column_index_from_string(allocation_cols["employee_name"])
         contract_col = column_index_from_string(allocation_cols["contract_hours_weekly"])
         project_col = column_index_from_string(allocation_cols["project_key"])
 
+        current_contract_value: float | None = None
+
         for row_idx in range(header_row + 1, allocation_ws.max_row + 1):
+            employee_value = _to_text(allocation_ws.cell(row=row_idx, column=employee_col).value)
+            contract_raw = allocation_ws.cell(row=row_idx, column=contract_col).value
+            parsed_contract = _to_float_or_none(contract_raw)
+
+            if employee_value:
+                current_contract_value = parsed_contract
+
             project_key = _to_text(allocation_ws.cell(row=row_idx, column=project_col).value)
             if not project_key:
                 continue
 
-            contract_value = _to_float_or_none(
-                allocation_ws.cell(row=row_idx, column=contract_col).value
-            )
-            if contract_value is None or contract_value <= 0:
+            if current_contract_value is None or current_contract_value <= 0:
                 issues.append(
                     ValidationIssue(
                         code="INVALID_CONTRACT_HOURS",
-                        message=f"Invalid contract weekly hours at row {row_idx}.",
+                        message=(
+                            f"Invalid inherited contract weekly hours at row {row_idx}."
+                        ),
                         severity="error",
                     )
                 )