297cb797d6
All core entities from ARCHITECTURE §5: tenancy (User, Tree, TreeMembership), people (Person, Name, Relationship), facts (Event, Place, PlaceName), provenance (Source, Citation), and the append-only AuditEntry. Cross-cutting mixins give every row a UUID key, timestamps, soft delete, and (where tree-owned) a tree_id for uniform tenant isolation. Modeling choices: parentage as qualified edges (biological/adoptive/step/foster/donor/guardian) so non-traditional families are first-class; events keep both a verbatim date string and a normalized start/end range; closed sets are PG enums while GEDCOM-extensible vocabularies (event/name/source type) stay strings; CHECK constraints enforce single-subject events and single-target citations. Place is tree-scoped in Phase 0 (see ARCHITECTURE note). The migration is verified reversible (upgrade/downgrade drops tables and enum types) and matches the models (alembic check clean); applied on the deploy target. Dockerfile now ships migrations. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Signed-off-by: Justin Paul <justin@jpaul.me>
52 lines
2.1 KiB
Python
52 lines
2.1 KiB
Python
"""Event — a typed, dated, placed fact attached to a Person or a partnership.
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Genealogical dates are messy, so we keep both:
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- ``date_value`` — the original string, verbatim (e.g. "ABT 1850", "BET 1850 AND
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1855"), for fidelity and GEDCOM round-trip.
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- ``date_start`` / ``date_end`` — a normalized range for sorting and filtering
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(an exact date sets start == end).
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A CHECK enforces that exactly one subject (person XOR relationship) is set.
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"""
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import uuid
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from datetime import date
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from sqlalchemy import CheckConstraint, Date, ForeignKey, String, Text
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from sqlalchemy.orm import Mapped, mapped_column
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from app.models.base import Base
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from app.models.mixins import SoftDelete, TenantScoped, Timestamps, UUIDPrimaryKey
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class Event(Base, UUIDPrimaryKey, TenantScoped, Timestamps, SoftDelete):
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__tablename__ = "events"
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__table_args__ = (
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CheckConstraint(
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"(person_id IS NOT NULL) <> (relationship_id IS NOT NULL)",
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name="subject_person_xor_relationship",
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),
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)
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# Open vocabulary (birth, death, marriage, residence, immigration, ...).
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event_type: Mapped[str] = mapped_column(String(64), index=True)
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person_id: Mapped[uuid.UUID | None] = mapped_column(
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ForeignKey("persons.id", ondelete="CASCADE"), index=True
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)
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relationship_id: Mapped[uuid.UUID | None] = mapped_column(
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ForeignKey("relationships.id", ondelete="CASCADE"), index=True
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)
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place_id: Mapped[uuid.UUID | None] = mapped_column(
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ForeignKey("places.id", ondelete="SET NULL"), index=True
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)
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date_value: Mapped[str | None] = mapped_column(String(255))
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date_start: Mapped[date | None] = mapped_column(Date)
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date_end: Mapped[date | None] = mapped_column(Date)
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date_precision: Mapped[str | None] = mapped_column(String(32)) # exact|about|before|after|range
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calendar: Mapped[str] = mapped_column(
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String(32), default="gregorian", server_default="gregorian"
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)
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detail: Mapped[str | None] = mapped_column(String(512)) # e.g. occupation, address
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notes: Mapped[str | None] = mapped_column(Text)
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