NPO-Accounting/conservancy_beancount
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reconciler: Move other score thresholds to constants

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This commit is contained in:
Ben Sturmfels 2023-02-11 18:29:52 +11:00
parent baa299c4c5
commit 86f4232df1
Signed by: bsturmfels
GPG key ID: 023C05E2C9C068F0
1 changed files with 14 additions and 10 deletions
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24
conservancy_beancount/reconcile/statement_reconciler.py
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@ -152,8 +152,10 @@ JUNK_WORDS = [
]
JUNK_WORDS_RES = [re.compile(word, re.IGNORECASE) for word in JUNK_WORDS]
ZERO_RE = re.compile('^0+')
FULL_MATCH_THRESHOLD = 0.8
PARTIAL_MATCH_THRESHOLD = 0.4
PAYEE_FULL_MATCH_THRESHOLD = 0.8
PAYEE_PARTIAL_MATCH_THRESHOLD = 0.4
OVERALL_EXCELLENT_MATCH_THRESHOLD = 0.8 # Clear winner
OVERALL_ACCEPTABLE_MATCH_THRESHOLD = 0.5 # Acceptable if only one match found
def remove_duplicate_words(text: str) -> str:
@ -392,9 +394,9 @@ def records_match(r1: Dict, r2: Dict) -> Tuple[float, List[str]]:
else:
check_score = 0.0
payee_score = payee_match(r1['payee'], r2['payee'])
if payee_score > FULL_MATCH_THRESHOLD:
if payee_score > PAYEE_FULL_MATCH_THRESHOLD:
payee_message = ''
elif payee_score > PARTIAL_MATCH_THRESHOLD:
elif payee_score > PAYEE_PARTIAL_MATCH_THRESHOLD:
payee_message = 'partial payee match'
else:
payee_message = 'payee mismatch'
@ -435,16 +437,16 @@ def match_statement_and_books(
matches_found = 0
for i, r2 in enumerate(books_trans):
score, note = records_match(r1, r2)
if score >= 0.5 and score >= best_match_score:
if score >= OVERALL_ACCEPTABLE_MATCH_THRESHOLD and score >= best_match_score:
matches_found += 1
best_match_score = score
best_match_index = i
best_match_note = note
if (
best_match_score > 0.5
best_match_score > OVERALL_ACCEPTABLE_MATCH_THRESHOLD
and matches_found == 1
and 'check-id mismatch' not in best_match_note
or best_match_score > 0.8
or best_match_score > OVERALL_EXCELLENT_MATCH_THRESHOLD
):
matches.append(([r1], [books_trans[best_match_index]], best_match_note))
# Don't try to make a second match against this books entry.
@ -484,16 +486,16 @@ def subset_match(
r2['amount'] = total
for i, r1 in enumerate(statement_trans):
score, note = records_match(r1, r2)
if score >= 0.5 and score >= best_match_score:
if score >= OVERALL_ACCEPTABLE_MATCH_THRESHOLD and score >= best_match_score:
matches_found += 1
best_match_score = score
best_match_index = i
best_match_note = note
if (
best_match_score > 0.5
best_match_score > OVERALL_ACCEPTABLE_MATCH_THRESHOLD
and matches_found == 1
and 'check-id mismatch' not in best_match_note
or best_match_score > 0.8
or best_match_score > OVERALL_EXCELLENT_MATCH_THRESHOLD
):
matches.append(
([statement_trans[best_match_index]], group_items, best_match_note)
@ -795,6 +797,8 @@ def main(
statement_trans = read_csv(f)
# Dates are taken from the beginning/end of the statement.
# TODO: FR statements include the last day of previous statement and the
# last day of this statement in the first/last rows.
begin_date = statement_trans[0]['date']
end_date = statement_trans[-1]['date']