commit da23e7fb0aa6c3d06a1140f165cdb8f00c4974dd Author: Dmitri Date: Fri Nov 7 10:51:48 2025 +0100 init diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..d16418d --- /dev/null +++ b/.gitignore @@ -0,0 +1,12 @@ +# Python-generated files +__pycache__/ +*.py[oc] +build/ +dist/ +wheels/ +*.egg-info + +# Virtual environments +.venv + +cospend_output diff --git a/.python-version b/.python-version new file mode 100644 index 0000000..24ee5b1 --- /dev/null +++ b/.python-version @@ -0,0 +1 @@ +3.13 diff --git a/README.md b/README.md new file mode 100644 index 0000000..e69de29 diff --git a/main.py b/main.py new file mode 100644 index 0000000..38c028c --- /dev/null +++ b/main.py @@ -0,0 +1,313 @@ +import pandas as pd +from pathlib import Path +import sys +from datetime import datetime +from typing import Optional + +class TricountToCospendConverter: + """Convert Tricount CSV exports to Cospend import format.""" + + DEFAULT_COLORS = [ + "#d09e6d", "#0082c9", "#ff6b6b", "#4ecdc4", "#45b7d1", + "#95e1d3", "#f38181", "#aa96da", "#fcbad3", "#a8d8ea" + ] + + DEFAULT_CATEGORIES = [ + ("Grocery", 1, "šŸ›’", "#ffaa00"), + ("Bar/Party", 2, "šŸŽ‰", "#aa55ff"), + ("Rent", 3, "šŸ ", "#da8733"), + ("Bill", 4, "šŸŒ©", "#4aa6b0"), + ("Excursion/Culture", 5, "šŸšø", "#0055ff"), + ("Health", 6, "šŸ’š", "#bf090c"), + ("Shopping", 7, "šŸ›", "#e167d1"), + ("Restaurant", 8, "šŸ“", "#d0d5e1"), + ("Accommodation", 9, "šŸ›Œ", "#5de1a3"), + ("Transport", 10, "šŸšŒ", "#6f2ee1"), + ("Sport", 11, "šŸŽ¾", "#69e177") + ] + + DEFAULT_PAYMENT_MODES = [ + ("Cash", 2, "šŸ’µ", "#556B2F"), + ("Transfer", 4, "ā‡„", "#00CED1"), + ("Online service", 5, "šŸŒŽ", "#9932CC"), + ("Card", 3, "šŸ’³", "#A9A9A9") + ] + + def __init__( + self, + input_file: str, + output_file: Optional[str] = None, + system_columns: Optional[list] = None, + colors: Optional[list] = None, + verbose: bool = True + ): + """ + Initialize converter. + + Args: + input_file: Path to Tricount CSV export + output_file: Path for Cospend output (default: cospend_output/cospend_import.csv) + system_columns: Column names to exclude from member detection + colors: Custom color palette for members + verbose: Print progress information + """ + self.input_file = input_file + self.output_file = output_file or "cospend_output/cospend_import.csv" + self.system_columns = system_columns or ['Date', 'Description', 'Category', 'Cost', 'Currency'] + self.colors = colors or self.DEFAULT_COLORS + self.verbose = verbose + self.df = None + self.members = [] + self.skipped_rows = 0 + + def log(self, message: str): + """Print message if verbose mode enabled.""" + if self.verbose: + print(message) + + def read_csv(self) -> pd.DataFrame: + """Read and validate Tricount CSV.""" + self.df = pd.read_csv(self.input_file) + self.log(f"Reading: {self.input_file}") + self.log(f"Shape: {self.df.shape}") + self.log(f"Sample:\n{self.df.head()}\n") + return self.df + + def detect_members(self) -> list[str]: + """Extract member names from columns.""" + self.members = [ + col for col in self.df.columns + if col not in self.system_columns + ] + self.log(f"Detected members: {self.members}\n") + return self.members + + def create_members_data(self) -> list[dict]: + """Generate Cospend members data.""" + members_data = [] + for idx, member in enumerate(self.members): + members_data.append({ + 'name': member.lower(), + 'weight': 1, + 'active': 1, + 'color': f'"{self.colors[idx % len(self.colors)]}"' + }) + return members_data + + def find_payer(self, row: pd.Series) -> Optional[str]: + """ + Determine who paid for an expense. + + Logic: + - Payer has positive balance OR + - Payer has large negative value close to cost (full amount case) + """ + cost = row['Cost'] + + # Check for positive value (typical case) + for member in self.members: + if pd.notna(row[member]) and row[member] > 0: + return member.lower() + + # Check for negative value matching cost (paid full amount) + for member in self.members: + if pd.notna(row[member]) and row[member] < 0: + if abs(abs(row[member]) - cost) < 0.01: + return member.lower() + + return None + + def create_expenses_data(self) -> list[dict]: + """Convert transactions to Cospend expense format.""" + expenses_data = [] + self.skipped_rows = 0 + + for idx, row in self.df.iterrows(): + if pd.isna(row['Date']): + self.skipped_rows += 1 + continue + + # Parse date + try: + date_obj = pd.to_datetime(row['Date']) + date_str = date_obj.strftime('%Y-%m-%d') + timestamp = int(date_obj.timestamp()) + except: + self.skipped_rows += 1 + continue + + # Find payer + payer = self.find_payer(row) + if not payer: + self.log(f"āš ļø Row {idx}: No payer for '{row['Description']}' (Cost: {row['Cost']})") + for member in self.members: + if pd.notna(row[member]): + self.log(f" {member}: {row[member]}") + self.skipped_rows += 1 + continue + + # All members are owers (split equally) + owers = ','.join([m.lower() for m in self.members]) + + expense = { + 'what': f'"{row["Description"]}"', + 'amount': abs(row['Cost']), + 'date': date_str, + 'timestamp': timestamp, + 'payer_name': f'"{payer}"', + 'payer_weight': 1, + 'payer_active': 1, + 'owers': f'"{owers}"', + 'repeat': 'n', + 'repeatfreq': 1, + 'repeatallactive': 0, + 'repeatuntil': '', + 'categoryid': 0, + 'paymentmode': 'n', + 'paymentmodeid': 0, + 'comment': '""', + 'deleted': 0 + } + expenses_data.append(expense) + + if self.skipped_rows > 0: + self.log(f"\nāš ļø Skipped {self.skipped_rows} rows\n") + + return expenses_data + + def write_cospend_csv( + self, + members_data: list, + expenses_data: list, + categories: Optional[list] = None, + payment_modes: Optional[list] = None + ): + """Write Cospend-formatted CSV with all sections.""" + categories = categories or self.DEFAULT_CATEGORIES + payment_modes = payment_modes or self.DEFAULT_PAYMENT_MODES + + # Ensure output directory exists + output_path = Path(self.output_file) + output_path.parent.mkdir(parents=True, exist_ok=True) + + with open(self.output_file, 'w', encoding='utf-8') as f: + # Section 1: Members + f.write('name,weight,active,color\n') + for member in members_data: + f.write(f'"{member["name"]}",{member["weight"]},{member["active"]},{member["color"]}\n') + f.write('\n') + + # Section 2: Expenses + expense_headers = [ + 'what', 'amount', 'date', 'timestamp', 'payer_name', 'payer_weight', + 'payer_active', 'owers', 'repeat', 'repeatfreq', 'repeatallactive', + 'repeatuntil', 'categoryid', 'paymentmode', 'paymentmodeid', 'comment', 'deleted' + ] + f.write(','.join(expense_headers) + '\n') + for expense in expenses_data: + row_values = [str(expense[header]) for header in expense_headers] + f.write(','.join(row_values) + '\n') + f.write('\n') + + # Section 3: Categories + f.write('categoryname,categoryid,icon,color\n') + for cat in categories: + f.write(f'"{cat[0]}",{cat[1]},"{cat[2]}","{cat[3]}"\n') + f.write('\n') + + # Section 4: Payment modes + f.write('paymentmodename,paymentmodeid,icon,color\n') + for pm in payment_modes: + f.write(f'"{pm[0]}",{pm[1]},"{pm[2]}","{pm[3]}"\n') + + def convert(self) -> dict: + """ + Execute full conversion pipeline. + + Returns: + Summary statistics + """ + # Read and parse + self.read_csv() + self.detect_members() + + # Convert data + members_data = self.create_members_data() + expenses_data = self.create_expenses_data() + + # Write output + self.write_cospend_csv(members_data, expenses_data) + + # Calculate statistics + payer_counts = {} + for expense in expenses_data: + payer = expense['payer_name'].strip('"') + payer_counts[payer] = payer_counts.get(payer, 0) + 1 + + summary = { + 'members': len(members_data), + 'expenses': len(expenses_data), + 'skipped': self.skipped_rows, + 'payer_distribution': payer_counts, + 'output_file': self.output_file + } + + # Print summary + self.log(f"\nāœ… Processed {len(expenses_data)} valid records") + self.log(f"āœ… Exported to: {self.output_file}") + self.log(f"\nšŸ“‹ Summary:") + self.log(f"- Members: {summary['members']}") + self.log(f"- Expenses: {summary['expenses']}") + self.log(f"- Skipped: {summary['skipped']}") + self.log(f"\nšŸ’° Expenses by payer:") + for payer, count in sorted(payer_counts.items()): + self.log(f"- {payer}: {count} expenses") + + return summary + + +def main(): + """CLI interface.""" + import argparse + + parser = argparse.ArgumentParser( + description='Convert Tricount CSV exports to Cospend format' + ) + parser.add_argument( + 'input', + help='Input Tricount CSV file' + ) + parser.add_argument( + '-o', '--output', + help='Output file path (default: cospend_output/cospend_import.csv)', + default=None + ) + parser.add_argument( + '-q', '--quiet', + action='store_true', + help='Suppress output' + ) + + args = parser.parse_args() + + try: + converter = TricountToCospendConverter( + input_file=args.input, + output_file=args.output, + verbose=not args.quiet + ) + converter.convert() + + except FileNotFoundError: + print(f"āŒ Error: Input file '{args.input}' not found") + sys.exit(1) + except Exception as e: + print(f"āŒ Error: {str(e)}") + if not args.quiet: + import traceback + traceback.print_exc() + sys.exit(1) + + +if __name__ == "__main__": + main() diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 0000000..a78a427 --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,9 @@ +[project] +name = "tricount-to-cospend-python" +version = "0.1.0" +description = "Add your description here" +readme = "README.md" +requires-python = ">=3.13" +dependencies = [ + "pandas>=2.3.3", +] diff --git a/uv.lock b/uv.lock new file mode 100644 index 0000000..f099647 --- /dev/null +++ b/uv.lock @@ -0,0 +1,145 @@ +version = 1 +revision = 3 +requires-python = ">=3.13" + +[[package]] +name = "numpy" +version = "2.3.4" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/b5/f4/098d2270d52b41f1bd7db9fc288aaa0400cb48c2a3e2af6fa365d9720947/numpy-2.3.4.tar.gz", hash = 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