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[32788f42] fix(list-generator): normalize CSV column names to support legacy headers like 'Vorname Kind' and 'Gruppe'

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Floke
2026-03-18 20:12:18 +00:00
parent a30d741d71
commit ef74aeefe0
1 changed files with 19 additions and 3 deletions
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22
list-generator/backend/app/services/pdf_generator.py
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@@ -5,10 +5,26 @@ from weasyprint import HTML
import datetime
def generate_school_pdf(institution: str, date_info: str, list_type: str, students_csv_path: str, families_csv_path: str = None, output_dir: str = "/tmp") -> str:
df = pd.read_csv(students_csv_path, sep=";")
try:
df = pd.read_csv(students_csv_path, sep=";", encoding="utf-8-sig")
except Exception:
df = pd.read_csv(students_csv_path, sep=";", encoding="latin1")
df.columns = df.columns.str.strip()
if "Klasse" not in df.columns:
df["Klasse"] = "Alle"
col_mapping = {}
for col in df.columns:
lower_col = col.lower()
if lower_col in ["vorname kind", "vorname"]:
col_mapping[col] = "Vorname"
elif lower_col in ["nachname kind", "nachname"]:
col_mapping[col] = "Nachname"
elif lower_col in ["gruppe", "klasse"]:
col_mapping[col] = "Klasse"
df = df.rename(columns=col_mapping)
df = df.fillna("")
if "Vorname" not in df.columns: df["Vorname"] = ""
if "Nachname" not in df.columns: df["Nachname"] = ""
if "Klasse" not in df.columns: df["Klasse"] = "Alle"
df = df.sort_values(by=["Klasse", "Nachname", "Vorname"])
grouped = df.groupby("Klasse")
class_data = []
for class_name, group in grouped: