Several enhancements

app/createTravelAccounting/createTravelAccounting.py

@@ -0,0 +1,103 @@
+import pandas as pd
+from datetime import datetime, timedelta
+import holidays
+import os
+from pathlib import Path
+import random
+import csv
+
+# Define date range
+start_date = datetime(2023, 1, 1)
+end_date = datetime(2023, 12, 31)
+
+# Austrian public holidays
+at_holidays = holidays.country_holidays('AT', years=[2023])
+
+# Exclude dates in external CSV-defined ranges
+exclude_ranges_path = Path.home() / 'Documents' / 'zisco' / 'exclude_ranges.csv'
+exclude_ranges = []
+if exclude_ranges_path.exists():
+    with open(exclude_ranges_path, newline='') as csvfile:
+        reader = csv.reader(csvfile)
+        for row in reader:
+            try:
+                start = datetime.strptime(row[0], '%Y-%m-%d')
+                end = datetime.strptime(row[1], '%Y-%m-%d')
+                exclude_ranges.append((start, end))
+            except Exception:
+                continue
+
+def is_in_exclude_ranges(date):
+    for start, end in exclude_ranges:
+        if start <= date <= end:
+            return True
+    return False
+
+# Generate all dates in range
+dates = []
+current = start_date
+while current <= end_date:
+    if current.weekday() in [1, 3]:  # 1=Tuesday, 3=Thursday
+        if current not in at_holidays and not is_in_exclude_ranges(current):
+            dates.append((current, "Wien"))
+    current += timedelta(days=1)
+
+# Add meetings from separate CSV file
+meetings_path = Path.home() / 'Documents' / 'zisco' / 'meetings_2023.csv'
+meetings = []
+if meetings_path.exists():
+    with open(meetings_path, newline='') as csvfile:
+        reader = csv.reader(csvfile)
+        for row in reader:
+            try:
+                date = datetime.strptime(row[1], '%d.%m.%Y')
+                ziel = row[3]
+                #if date not in at_holidays and not is_in_exclude_ranges(date):
+                if not is_in_exclude_ranges(date):
+                    meetings.append((date, ziel))
+            except Exception:
+                continue
+
+# Combine dates and meetings, ensuring no duplicates
+# all_entries = dates+meetings
+# all_entries.sort()
+
+# Combine and remove duplicates (as tuples to deduplicate)
+all_entries = list({tuple(row) for row in meetings + dates})
+
+# Sort by date (index 0)
+all_entries.sort(key=lambda x: x[0])
+
+df = pd.DataFrame({
+    'Datum': [d.strftime('%Y-%m-%d') for d, _ in all_entries],
+    'Ziel': [z for _, z in all_entries],
+    'Zweck': ['Besprechung'] * len(all_entries),
+    'Std.': [random.randint(3, 7) for _ in all_entries],
+    'Inland': [''] * len(all_entries),
+    'Ausland': [''] * len(all_entries),
+    'Tage': [''] * len(all_entries),
+    'INLAND': [''] * len(all_entries),
+    'AUSLAND': [''] * len(all_entries)
+})
+
+# df = pd.DataFrame({
+#     'Datum': [d.strftime('%Y-%m-%d') for d in dates],
+#     'Ziel': ['Wien'] * len(dates),
+#     'Zweck': ['Besprechung'] * len(dates),
+#     'Std.': [random.randint(3, 9) for _ in dates],
+#     'Inland': [''] * len(dates),
+#     'Ausland': [''] * len(dates),
+#     'Tage': [''] * len(dates),
+#     'INLAND': [''] * len(dates),
+#     'AUSLAND': [''] * len(dates)
+# })
+
+headers = [['', '', '', '', '', '', '', 'Taggeld', 'Nächtigungen'],
+           ['Datum', 'Ziel', 'Zweck', 'Std.', 'Inland', 'Ausland', 'Tage', 'Inland', 'Ausland']]
+multi_header = pd.MultiIndex.from_arrays(headers)
+df.columns = multi_header
+
+documents_dir = Path.home() / 'Documents'
+csv_path = documents_dir / 'zisco' / 'travel_schedule.csv'
+os.makedirs(csv_path.parent, exist_ok=True)
+df.to_csv(csv_path, index=False)