reconcile: Prototype writing statement metadata back to books.

This commit is contained in:
Ben Sturmfels 2022-02-08 22:06:01 +11:00
parent dd35ed25c2
commit 3792d46bcc
Signed by: bsturmfels
GPG key ID: 023C05E2C9C068F0

View file

@ -1,13 +1,24 @@
"""A prototype AMEX statement reconciler.
"""Reconcile an AMEX CSV statement against the books and print differences.
Run like this:
$ python3 -m pip install thefuzz
$ python3 conservancy_beancount/reconcile/prototype_amex_reconciler.py --beancount-file=$HOME/conservancy/beancount/books/2021.beancount --amex-csv=$HOME/conservancy/confidential/2021-09-10_AMEX_activity.csv
"""
$ python3 conservancy_beancount/reconcile/prototype_amex_reconciler.py \
--beancount-file=$HOME/conservancy/beancount/books/2021.beancount \
--amex-csv=$HOME/conservancy/confidential/2021-09-10_AMEX_activity.csv
Conservancy currently enter data by hand rather than using Beancount importers.
This tool is still somewhat like an importer in that it needs to extract
transaction details from a third-party statement. Instead of creating
directives, it just checks to see that similar directives are already present.
TODO/ISSUES:
- AMEX statement doesn't provide bank balance or running total
"""
import argparse
import csv
import collections
import datetime
import decimal
from typing import Dict, List, Tuple
@ -19,6 +30,7 @@ from thefuzz import fuzz # type: ignore
# NOTE: Statement doesn't seem to give us a running balance or a final total.
def standardize_amex_record(row: Dict) -> Dict:
"""Turn an AMEX CSV row into a standard dict format representing a transaction."""
return {
'date': datetime.datetime.strptime(row['Date'], '%m/%d/%Y').date(),
'amount': -1 * decimal.Decimal(row['Amount']),
@ -27,10 +39,14 @@ def standardize_amex_record(row: Dict) -> Dict:
def standardize_beancount_record(row) -> Dict: # type: ignore[no-untyped-def]
"""Turn a Beancount query result row into a standard dict representing a transaction."""
return {
'date': row.date,
'amount': row.number_cost_position,
'payee': row.payee if row.payee else row.narration,
'filename': row.filename,
'line': row.posting_line,
'statement': row.posting_statement,
}
@ -49,9 +65,9 @@ def records_match(r1: Dict, r2: Dict) -> Tuple[bool, str]:
payee_match_quality = fuzz.token_set_ratio(r1['payee'], r2['payee'])
payee_matches = payee_match_quality > 50
if date_matches and amount_matches and payee_matches:
return True, ''
return True, 'Matched'
elif date_matches and amount_matches:
return True, f'Low payee match ({payee_match_quality}%)'
return True, f'Matched with low-payee match ({payee_match_quality}%)'
else:
return False, ''
@ -61,6 +77,7 @@ parser.add_argument('--beancount-file', required=True)
parser.add_argument('--amex-csv', required=True)
parser.add_argument('--grep-output-filename')
# parser.add_argument('--report-group-regex')
parser.add_argument('--show-reconciled-matches', action='store_true')
args = parser.parse_args()
with open(args.amex_csv) as f:
@ -71,12 +88,21 @@ begin_date = statement_trans[0]['date']
end_date = statement_trans[-1]['date']
# Do we traverse and filter the in-memory entries list and filter that, or do we
# use Beancount Query Language to get a list of transactions?
# use Beancount Query Language (BQL) to get a list of transactions? Currently
# using BQL.
#
# beancount.query.query_compile.compile() and
# beancount.query.query_execute.filter_entries() look useful in this respect,
# but I'm not clear on how to use compile(). An example would help.
entries, _, options = loader.load_file(args.beancount_file)
# String concatenation looks bad, but there's no SQL injection possible here
# because BQL can't write back to the Beancount files. I hope!
query = f"SELECT filename, META('lineno') AS posting_line, META('bank-statement') AS posting_statement, date, number(cost(position)), payee, narration where account = 'Liabilities:CreditCard:AMEX' and date >= {begin_date} and date <= {end_date}"
result_types, result_rows = run_query(
entries,
options,
f"SELECT filename, lineno, date, number(cost(position)), payee, narration where account = 'Liabilities:CreditCard:AMEX' and date >= {begin_date} and date <= {end_date}",
query,
)
books_trans = sort_records([standardize_beancount_record(row) for row in result_rows])
@ -85,21 +111,48 @@ num_books_trans = len(books_trans)
statement_index = 0
books_index = 0
matches = []
metadata_to_apply = []
# Run through all the statement transactions to find a matching transaction in
# the books. If found, the books transaction is marked off so that it can only
# be matched once. Some transactions will be matched, some will be on the
# statement but not the books and some on the books but not the statement.
for r1 in statement_trans:
for r2 in books_trans:
match, note = records_match(r1, r2)
if match:
matches.append([r2['date'], f'{format_record(r1)} --> {format_record(r2)} {note.upper()}'])
if not r2['statement'] or args.show_reconciled_matches:
matches.append([r2['date'], f'{format_record(r1)} --> {format_record(r2)}{note}'])
if not r2['statement']:
metadata_to_apply.append((r2['filename'], r2['line'], f' bank-statement: "{args.amex_csv}"\n'))
books_trans.remove(r2)
break
else:
matches.append([r1['date'], f'{format_record(r1)} --> {" ":^41} NOT IN BOOKS'])
matches.append([r1['date'], f'{format_record(r1)} --> {" ":^41} ✗ Not in books'])
for r2 in books_trans:
matches.append([r2['date'], f'{" ":^41} --> {format_record(r2)} NOT ON STATEMENT'])
matches.append([r2['date'], f'{" ":^41} --> {format_record(r2)} ✗ Not on statement'])
print(f'-----------------------------------------------------------------------------------------------------------------')
print(f'{"STATEMENT":<40} {"BOOKS":<40} NOTES')
print(f'-----------------------------------------------------------------------------------------------------------------')
for _, output in sorted(matches):
print(output)
print(f'-----------------------------------------------------------------------------------------------------------------')
if metadata_to_apply:
print('Mark matched transactions as reconciled in the books? (y/N) ', end='')
if input().lower() == 'y':
files = {}
for filename, line, metadata in metadata_to_apply:
if filename not in files:
with open(filename, 'r') as f:
files[filename] = [0, f.readlines()]
files[filename][1].insert(line + files[filename][0], metadata)
files[filename][0] += 1
for filename in files:
with open(filename, 'w') as f:
f.writelines(files[filename][1])
print(f'Wrote {filename}.')
# Local Variables:
# python-shell-interpreter: "/home/ben/\.virtualenvs/conservancy-beancount-py39/bin/python"