new script parse caixabank account movements
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@@ -152,8 +152,7 @@ async def get_beancount_price_statements(r4_report: str) -> str:
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result = None
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async for message in query(
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prompt="Convert this financial account movements table to "
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f"beancount price statements:\n{
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r4_report}",
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f"beancount price statements:\n{r4_report}",
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options=options
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):
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if isinstance(message, ResultMessage) and message.subtype == "success":
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@@ -170,8 +169,8 @@ async def get_beancount_price_statements(r4_report: str) -> str:
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def parse_response(beancount_statements: str):
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"""
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The input beancount statements might be inside a markdown beancount code block
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or in plain text.
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The input beancount statements might be inside a markdown beancount
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code block or in plain text.
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"""
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import re
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@@ -185,45 +184,122 @@ def parse_response(beancount_statements: str):
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return content
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def save_statements(beancount_statements: str):
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def extract_last_balances_by_month(markdown_report: str) -> dict:
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"""
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The statements are saved in a beancount file in ledger/transactions/YYYY/MM.beancount.
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The year and month are extracted from the first beancount statement in the input.
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The file is created if it doesn't exist or the statements are appended to the
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end of the file if it already exists.
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Extract the last transaction date and balance for each month from the markdown table.
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Returns a dict with keys as (year, month) tuples and values as (date, balance) tuples.
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"""
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import re
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from collections import defaultdict
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lines = markdown_report.split('\n')
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transactions_by_month = {}
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for line in lines:
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if '|' not in line:
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continue
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parts = line.split('|')
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if len(parts) < 7:
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continue
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fecha_col = parts[1].strip()
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saldo_col = parts[6].strip()
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date_match = re.search(r'(\d{4})-(\d{2})-(\d{2})', fecha_col)
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if date_match and saldo_col:
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try:
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balance = saldo_col.replace(',', '').replace(' ', '')
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float(balance)
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year = date_match.group(1)
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month = date_match.group(2)
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date = f"{year}-{month}-{date_match.group(3)}"
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month_key = (year, month)
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if month_key not in transactions_by_month or date > transactions_by_month[month_key][0]:
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transactions_by_month[month_key] = (date, balance)
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except ValueError:
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continue
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return transactions_by_month
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def save_statements(
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beancount_statements: str,
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last_balances_by_month: dict
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):
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"""
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The statements are saved in beancount files in
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ledger/transactions/YYYY/MM.beancount.
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Statements are sorted chronologically and split by month if they
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span multiple months.
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A balance assertion is added at the end of each month's file.
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"""
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import re
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from pathlib import Path
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from collections import defaultdict
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if not beancount_statements.strip():
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print("Warning: No valid statements to save")
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return
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# Extract date from first statement (format: YYYY-MM-DD price ...)
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first_line = beancount_statements.strip().split('\n')[0]
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date_match = re.match(r'^(\d{4})-(\d{2})-\d{2}', first_line)
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lines = beancount_statements.strip().split('\n')
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if not date_match:
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print(f"Error: Could not extract date from first statement: {
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first_line}")
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return
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transactions = []
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current_transaction = []
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year = date_match.group(1)
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month = date_match.group(2)
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for line in lines:
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if re.match(r'^\d{4}-\d{2}-\d{2}', line):
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if current_transaction:
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transactions.append('\n'.join(current_transaction))
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current_transaction = [line]
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elif current_transaction:
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current_transaction.append(line)
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# Create directory structure if it doesn't exist
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output_dir = Path(f"ledger/transactions/{year}")
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output_dir.mkdir(parents=True, exist_ok=True)
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if current_transaction:
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transactions.append('\n'.join(current_transaction))
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# Define output file path
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output_file = output_dir / f"{month}.beancount"
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transactions.sort(key=lambda t: re.match(
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r'^(\d{4}-\d{2}-\d{2})', t).group(1))
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# Append statements to file (create if doesn't exist)
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with open(output_file, 'a') as f:
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f.write(beancount_statements)
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f.write('\n')
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transactions_by_month = defaultdict(list)
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for transaction in transactions:
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date_match = re.match(r'^(\d{4})-(\d{2})-\d{2}', transaction)
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if date_match:
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year = date_match.group(1)
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month = date_match.group(2)
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key = (year, month)
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transactions_by_month[key].append(transaction)
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print(f"Saved price statements to {output_file}")
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for (year, month), month_transactions in sorted(transactions_by_month.items()):
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output_dir = Path(f"ledger/transactions/{year}")
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output_dir.mkdir(parents=True, exist_ok=True)
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output_file = output_dir / f"{month}.beancount"
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existing_content = ""
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if output_file.exists():
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with open(output_file, 'r') as f:
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existing_content = f.read()
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with open(output_file, 'w') as f:
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if existing_content:
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f.write(existing_content)
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if not existing_content.endswith('\n'):
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f.write('\n')
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f.write('\n'.join(month_transactions))
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f.write('\n')
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month_key = (year, month)
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if month_key in last_balances_by_month:
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last_date, last_balance = last_balances_by_month[month_key]
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if last_date and last_balance:
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f.write(f'\n{last_date} balance Assets:Liquid:Caixabank:Corrent {
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last_balance} EUR\n')
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print(f"Saved statements to {output_file}")
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def convert_file_to_markdown(path: str):
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@@ -248,7 +324,8 @@ async def main():
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print(f"Final result: \n{beancount_statements}")
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clean_beancount_statements = parse_response(beancount_statements)
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save_statements(clean_beancount_statements)
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last_balances_by_month = extract_last_balances_by_month(markdown_report)
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save_statements(clean_beancount_statements, last_balances_by_month)
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if __name__ == "__main__":
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