conflict-decisions: correctDob remaps a wrong-birthdate duplicate before dedup

god added a `correctDob` (DD.MM.YYYY) decisions field: the matched (name+dob)
record is a DUPLICATE with a wrong birthdate → remap its DOB to correctDob so
dedup MERGES it into the canonical same-named animal. apply_dob_remaps runs
BEFORE dedup (it changes the dedup identity); tolerates a missing file; logged
as "DOB-Remaps: N". First use: Chelsea *15.10.2021 → *02.04.2021 (merges into
the canonical record). test_extract covers the remap + that both records then
share one name+dob identity.

Extractor-only. python + dotnet 121/121 green.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
This commit is contained in:
2026-06-06 12:14:23 +02:00
parent 3f71d8e28e
commit a8d8ae0dfc
3 changed files with 57 additions and 13 deletions

View File

@@ -883,6 +883,31 @@ def write_report(merged, conflicts, orphans, raw_count, litters, photo_count,
# ------------------------------------------------------------------------ main
def apply_dob_remaps(raw_animals, path):
"""PRE-dedup: a conflict-decision carrying `correctDob` marks a record as a DUPLICATE with a
wrong birthdate — remap that raw record's DOB to correctDob so dedup MERGES it into the
canonical same-named animal (e.g. Chelsea *15.10.2021 -> *02.04.2021). Match =
norm_name(name)+norm_dob(dob). Tolerates a missing/garbled file. Returns the remap count.
Must run BEFORE dedup (it changes the dedup identity). (god/HUMANQUESTION D — Dubletten.)"""
remaps = {}
try:
with open(path, encoding="utf-8") as fh:
for r in (json.load(fh).get("resolutions") or []):
if r.get("correctDob"):
remaps[(norm_name(r.get("name", "")), norm_dob(r.get("dob", "")))] = r["correctDob"]
except (OSError, ValueError):
return 0
if not remaps:
return 0
n = 0
for a in raw_animals:
new = remaps.get((norm_name(a.get("name", "")), norm_dob(a.get("dob", ""))))
if new and a.get("dob") != new:
a["dob"] = new
n += 1
return n
def apply_conflict_decisions(merged, conflicts, path):
"""Consume human conflict resolutions (tools/import/conflict-decisions.json) so the wife's
answers UN-QUARANTINE animals. Schema: {"resolutions":[{name, dob, decision, genotype?,
@@ -953,8 +978,9 @@ def main():
litters = extract_wurfchronik(args.wurfchronik)
print(f"Wurfchronik: {len(litters)} Würfe")
merged, conflicts, orphans, zucht_splits = dedup(raw_animals)
decisions_path = os.path.join(HERE, "conflict-decisions.json")
dob_remaps = apply_dob_remaps(raw_animals, decisions_path) # before dedup (changes identity)
merged, conflicts, orphans, zucht_splits = dedup(raw_animals)
resolved_by_decision = apply_conflict_decisions(merged, conflicts, decisions_path)
match_stats = match_litters(merged, litters)
photo_count = sum(len(a["photos"]) for a in merged)
@@ -973,7 +999,7 @@ def main():
print(f"\nRoh: {len(raw_animals)} → eindeutig: {len(merged)} "
f"| Konflikte: {len(conflicts)} | per Entscheidung gelöst: {resolved_by_decision} "
f"| Zucht-Splits: {len(zucht_splits)} "
f"| DOB-Remaps: {dob_remaps} | Zucht-Splits: {len(zucht_splits)} "
f"| Orphans: {len(orphans)} | Fotos: {photo_count}")
print(f"Wurf-Verknüpfung: {match_stats['parents']} (Datum+Eltern), "
f"{match_stats['dateOnly']} (nur Datum), {match_stats['ambiguous']} mehrdeutig "