justin
5824e70895
Duplicate detection (the "merge / skip / overwrite" the user asked for):
- New POST /gedcom/preview dry-runs the file and flags incoming people that
resemble existing ones (name similarity via difflib + birth-year guard;
high/medium score). No writes.
- /gedcom/import takes default_action (new|skip|merge|overwrite) + per-xref
resolutions {xref: {action, target_id}}:
new create as a new person (current behavior)
skip link families to the existing person, copy nothing
merge attach the incoming names (as alternates), events, citations,
and notes onto the existing person
overwrite soft-delete the existing person, import the incoming one fresh
Relationship creation is deduped so a merge can't double an edge.
Richer record mapping (covers the user's repo's GEDCOM):
- Multiple NAME records honor their TYPE; _MARNM (and NICK) import as typed
alternate names — maiden stays primary, married becomes a "married" Name.
- RELI -> a "religion" event with the value in detail; OCCU/EDUC values too.
- NOTE -> person notes (and event notes); NOTE/RELI are no longer "unmapped".
- Export round-trips name TYPE.
Verified against the user's 2185-person export: 0 unmapped tags. 48 tests pass.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
26 lines
597 B
Python
26 lines
597 B
Python
import uuid
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from pydantic import BaseModel
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class ImportReport(BaseModel):
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counts: dict[str, int]
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unmapped_tags: list[str]
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class DuplicateMatch(BaseModel):
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# An incoming GEDCOM person that resembles an existing one in the tree.
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xref: str
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incoming_name: str
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incoming_birth_year: str | None = None
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existing_person_id: uuid.UUID
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existing_name: str
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existing_birth_year: str | None = None
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score: str # "high" | "medium"
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class ImportPreview(BaseModel):
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counts: dict[str, int]
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potential_duplicates: list[DuplicateMatch]
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unmapped_tags: list[str]
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