Petru Paler
876e8174ee
Implements Step 3.3: Animal Cohort Creation - Add AnimalRegistryProjection for animal_registry and live_animals_by_location - Add EventAnimalsProjection for event_animals link table - Add IntervalProjection for location and attribute intervals - Add AnimalService with create_cohort() for coordinating event + projections - Add seeded_db fixture to conftest.py - Update projections/__init__.py with new exports All operations atomic within single transaction. Includes validation for location (exists, active) and species (exists, active). 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
406 lines
15 KiB
Python
406 lines
15 KiB
Python
# ABOUTME: Tests for AnimalRegistryProjection.
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# ABOUTME: Validates animal_registry and live_animals_by_location updates on cohort creation.
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import json
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from animaltrack.events.types import ANIMAL_COHORT_CREATED
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from animaltrack.models.events import Event
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from animaltrack.projections.animal_registry import AnimalRegistryProjection
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def make_cohort_event(
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animal_ids: list[str],
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location_id: str = "01ARZ3NDEKTSV4RRFFQ69G5FAV",
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species: str = "duck",
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sex: str = "unknown",
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life_stage: str = "adult",
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origin: str = "purchased",
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ts_utc: int = 1704067200000,
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) -> Event:
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"""Create a test AnimalCohortCreated event."""
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return Event(
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id="01ARZ3NDEKTSV4RRFFQ69G5001",
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type=ANIMAL_COHORT_CREATED,
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ts_utc=ts_utc,
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actor="test_user",
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entity_refs={
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"location_id": location_id,
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"animal_ids": animal_ids,
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},
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payload={
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"species": species,
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"count": len(animal_ids),
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"life_stage": life_stage,
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"sex": sex,
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"location_id": location_id,
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"origin": origin,
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"notes": None,
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},
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version=1,
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)
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class TestAnimalRegistryProjectionEventTypes:
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"""Tests for get_event_types method."""
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def test_handles_animal_cohort_created(self, seeded_db):
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"""Projection handles AnimalCohortCreated event type."""
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projection = AnimalRegistryProjection(seeded_db)
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assert ANIMAL_COHORT_CREATED in projection.get_event_types()
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class TestAnimalRegistryProjectionApply:
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"""Tests for apply() on AnimalCohortCreated."""
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def test_creates_animal_registry_row_for_each_animal(self, seeded_db):
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"""Apply creates one row in animal_registry per animal_id."""
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# Get a valid location_id from seeds
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row = seeded_db.execute("SELECT id FROM locations WHERE name = 'Strip 1'").fetchone()
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location_id = row[0]
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animal_ids = [
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"01ARZ3NDEKTSV4RRFFQ69G5A01",
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"01ARZ3NDEKTSV4RRFFQ69G5A02",
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"01ARZ3NDEKTSV4RRFFQ69G5A03",
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]
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projection = AnimalRegistryProjection(seeded_db)
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event = make_cohort_event(animal_ids, location_id=location_id)
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projection.apply(event)
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# Check animal_registry has 3 rows
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count = seeded_db.execute("SELECT COUNT(*) FROM animal_registry").fetchone()[0]
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assert count == 3
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# Check each animal_id exists
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for animal_id in animal_ids:
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row = seeded_db.execute(
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"SELECT animal_id FROM animal_registry WHERE animal_id = ?",
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(animal_id,),
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).fetchone()
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assert row is not None
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def test_animal_has_correct_species(self, seeded_db):
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"""Registry row has correct species_code from payload."""
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row = seeded_db.execute("SELECT id FROM locations WHERE name = 'Strip 1'").fetchone()
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location_id = row[0]
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animal_ids = ["01ARZ3NDEKTSV4RRFFQ69G5A01"]
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projection = AnimalRegistryProjection(seeded_db)
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event = make_cohort_event(animal_ids, location_id=location_id, species="goose")
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projection.apply(event)
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row = seeded_db.execute(
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"SELECT species_code FROM animal_registry WHERE animal_id = ?",
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(animal_ids[0],),
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).fetchone()
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assert row[0] == "goose"
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def test_animal_has_correct_sex(self, seeded_db):
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"""Registry row has correct sex from payload."""
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row = seeded_db.execute("SELECT id FROM locations WHERE name = 'Strip 1'").fetchone()
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location_id = row[0]
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animal_ids = ["01ARZ3NDEKTSV4RRFFQ69G5A01"]
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projection = AnimalRegistryProjection(seeded_db)
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event = make_cohort_event(animal_ids, location_id=location_id, sex="female")
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projection.apply(event)
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row = seeded_db.execute(
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"SELECT sex FROM animal_registry WHERE animal_id = ?",
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(animal_ids[0],),
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).fetchone()
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assert row[0] == "female"
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def test_animal_has_correct_life_stage(self, seeded_db):
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"""Registry row has correct life_stage from payload."""
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row = seeded_db.execute("SELECT id FROM locations WHERE name = 'Strip 1'").fetchone()
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location_id = row[0]
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animal_ids = ["01ARZ3NDEKTSV4RRFFQ69G5A01"]
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projection = AnimalRegistryProjection(seeded_db)
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event = make_cohort_event(animal_ids, location_id=location_id, life_stage="juvenile")
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projection.apply(event)
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row = seeded_db.execute(
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"SELECT life_stage FROM animal_registry WHERE animal_id = ?",
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(animal_ids[0],),
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).fetchone()
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assert row[0] == "juvenile"
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def test_animal_has_correct_location(self, seeded_db):
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"""Registry row has correct location_id from payload."""
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row = seeded_db.execute("SELECT id FROM locations WHERE name = 'Strip 2'").fetchone()
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location_id = row[0]
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animal_ids = ["01ARZ3NDEKTSV4RRFFQ69G5A01"]
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projection = AnimalRegistryProjection(seeded_db)
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event = make_cohort_event(animal_ids, location_id=location_id)
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projection.apply(event)
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row = seeded_db.execute(
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"SELECT location_id FROM animal_registry WHERE animal_id = ?",
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(animal_ids[0],),
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).fetchone()
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assert row[0] == location_id
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def test_animal_has_correct_origin(self, seeded_db):
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"""Registry row has correct origin from payload."""
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row = seeded_db.execute("SELECT id FROM locations WHERE name = 'Strip 1'").fetchone()
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location_id = row[0]
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animal_ids = ["01ARZ3NDEKTSV4RRFFQ69G5A01"]
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projection = AnimalRegistryProjection(seeded_db)
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event = make_cohort_event(animal_ids, location_id=location_id, origin="rescued")
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projection.apply(event)
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row = seeded_db.execute(
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"SELECT origin FROM animal_registry WHERE animal_id = ?",
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(animal_ids[0],),
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).fetchone()
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assert row[0] == "rescued"
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def test_status_is_alive(self, seeded_db):
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"""Registry row has status='alive' for new cohort."""
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row = seeded_db.execute("SELECT id FROM locations WHERE name = 'Strip 1'").fetchone()
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location_id = row[0]
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animal_ids = ["01ARZ3NDEKTSV4RRFFQ69G5A01"]
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projection = AnimalRegistryProjection(seeded_db)
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event = make_cohort_event(animal_ids, location_id=location_id)
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projection.apply(event)
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row = seeded_db.execute(
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"SELECT status FROM animal_registry WHERE animal_id = ?",
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(animal_ids[0],),
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).fetchone()
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assert row[0] == "alive"
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def test_identified_is_false(self, seeded_db):
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"""Registry row has identified=false for new cohort."""
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row = seeded_db.execute("SELECT id FROM locations WHERE name = 'Strip 1'").fetchone()
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location_id = row[0]
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animal_ids = ["01ARZ3NDEKTSV4RRFFQ69G5A01"]
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projection = AnimalRegistryProjection(seeded_db)
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event = make_cohort_event(animal_ids, location_id=location_id)
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projection.apply(event)
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row = seeded_db.execute(
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"SELECT identified FROM animal_registry WHERE animal_id = ?",
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(animal_ids[0],),
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).fetchone()
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assert row[0] == 0 # SQLite stores booleans as 0/1
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def test_repro_status_is_unknown(self, seeded_db):
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"""Registry row has repro_status='unknown' for new cohort."""
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row = seeded_db.execute("SELECT id FROM locations WHERE name = 'Strip 1'").fetchone()
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location_id = row[0]
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animal_ids = ["01ARZ3NDEKTSV4RRFFQ69G5A01"]
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projection = AnimalRegistryProjection(seeded_db)
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event = make_cohort_event(animal_ids, location_id=location_id)
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projection.apply(event)
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row = seeded_db.execute(
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"SELECT repro_status FROM animal_registry WHERE animal_id = ?",
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(animal_ids[0],),
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).fetchone()
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assert row[0] == "unknown"
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def test_first_seen_utc_matches_event(self, seeded_db):
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"""Registry row first_seen_utc matches event ts_utc."""
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row = seeded_db.execute("SELECT id FROM locations WHERE name = 'Strip 1'").fetchone()
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location_id = row[0]
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animal_ids = ["01ARZ3NDEKTSV4RRFFQ69G5A01"]
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ts_utc = 1704067200000
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projection = AnimalRegistryProjection(seeded_db)
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event = make_cohort_event(animal_ids, location_id=location_id, ts_utc=ts_utc)
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projection.apply(event)
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row = seeded_db.execute(
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"SELECT first_seen_utc FROM animal_registry WHERE animal_id = ?",
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(animal_ids[0],),
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).fetchone()
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assert row[0] == ts_utc
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def test_last_event_utc_matches_event(self, seeded_db):
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"""Registry row last_event_utc matches event ts_utc."""
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row = seeded_db.execute("SELECT id FROM locations WHERE name = 'Strip 1'").fetchone()
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location_id = row[0]
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animal_ids = ["01ARZ3NDEKTSV4RRFFQ69G5A01"]
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ts_utc = 1704067200000
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projection = AnimalRegistryProjection(seeded_db)
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event = make_cohort_event(animal_ids, location_id=location_id, ts_utc=ts_utc)
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projection.apply(event)
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row = seeded_db.execute(
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"SELECT last_event_utc FROM animal_registry WHERE animal_id = ?",
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(animal_ids[0],),
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).fetchone()
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assert row[0] == ts_utc
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def test_creates_live_animal_row_for_each_animal(self, seeded_db):
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"""Apply creates one row in live_animals_by_location per animal_id."""
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row = seeded_db.execute("SELECT id FROM locations WHERE name = 'Strip 1'").fetchone()
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location_id = row[0]
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animal_ids = [
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"01ARZ3NDEKTSV4RRFFQ69G5A01",
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"01ARZ3NDEKTSV4RRFFQ69G5A02",
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]
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projection = AnimalRegistryProjection(seeded_db)
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event = make_cohort_event(animal_ids, location_id=location_id)
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projection.apply(event)
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# Check live_animals_by_location has 2 rows
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count = seeded_db.execute("SELECT COUNT(*) FROM live_animals_by_location").fetchone()[0]
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assert count == 2
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# Check each animal_id exists
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for animal_id in animal_ids:
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row = seeded_db.execute(
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"SELECT animal_id FROM live_animals_by_location WHERE animal_id = ?",
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(animal_id,),
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).fetchone()
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assert row is not None
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def test_live_animal_tags_empty_json_array(self, seeded_db):
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"""Live animal row has tags='[]' for new cohort."""
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row = seeded_db.execute("SELECT id FROM locations WHERE name = 'Strip 1'").fetchone()
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location_id = row[0]
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animal_ids = ["01ARZ3NDEKTSV4RRFFQ69G5A01"]
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projection = AnimalRegistryProjection(seeded_db)
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event = make_cohort_event(animal_ids, location_id=location_id)
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projection.apply(event)
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row = seeded_db.execute(
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"SELECT tags FROM live_animals_by_location WHERE animal_id = ?",
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(animal_ids[0],),
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).fetchone()
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assert row[0] == "[]"
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assert json.loads(row[0]) == []
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def test_live_animal_last_move_utc_is_null(self, seeded_db):
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"""Live animal row has last_move_utc=NULL for new cohort."""
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row = seeded_db.execute("SELECT id FROM locations WHERE name = 'Strip 1'").fetchone()
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location_id = row[0]
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animal_ids = ["01ARZ3NDEKTSV4RRFFQ69G5A01"]
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projection = AnimalRegistryProjection(seeded_db)
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event = make_cohort_event(animal_ids, location_id=location_id)
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projection.apply(event)
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row = seeded_db.execute(
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"SELECT last_move_utc FROM live_animals_by_location WHERE animal_id = ?",
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(animal_ids[0],),
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).fetchone()
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assert row[0] is None
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class TestAnimalRegistryProjectionRevert:
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"""Tests for revert() on AnimalCohortCreated."""
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def test_removes_animal_registry_rows(self, seeded_db):
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"""Revert deletes rows from animal_registry."""
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row = seeded_db.execute("SELECT id FROM locations WHERE name = 'Strip 1'").fetchone()
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location_id = row[0]
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animal_ids = [
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"01ARZ3NDEKTSV4RRFFQ69G5A01",
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"01ARZ3NDEKTSV4RRFFQ69G5A02",
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]
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projection = AnimalRegistryProjection(seeded_db)
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event = make_cohort_event(animal_ids, location_id=location_id)
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projection.apply(event)
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# Verify rows exist
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count = seeded_db.execute("SELECT COUNT(*) FROM animal_registry").fetchone()[0]
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assert count == 2
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# Revert
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projection.revert(event)
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# Verify rows removed
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count = seeded_db.execute("SELECT COUNT(*) FROM animal_registry").fetchone()[0]
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assert count == 0
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def test_removes_live_animal_rows(self, seeded_db):
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"""Revert deletes rows from live_animals_by_location."""
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row = seeded_db.execute("SELECT id FROM locations WHERE name = 'Strip 1'").fetchone()
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location_id = row[0]
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animal_ids = [
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"01ARZ3NDEKTSV4RRFFQ69G5A01",
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"01ARZ3NDEKTSV4RRFFQ69G5A02",
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]
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projection = AnimalRegistryProjection(seeded_db)
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event = make_cohort_event(animal_ids, location_id=location_id)
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projection.apply(event)
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# Verify rows exist
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count = seeded_db.execute("SELECT COUNT(*) FROM live_animals_by_location").fetchone()[0]
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assert count == 2
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# Revert
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projection.revert(event)
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# Verify rows removed
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count = seeded_db.execute("SELECT COUNT(*) FROM live_animals_by_location").fetchone()[0]
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assert count == 0
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def test_revert_only_affects_event_animals(self, seeded_db):
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"""Revert only removes animals from the specific event."""
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row = seeded_db.execute("SELECT id FROM locations WHERE name = 'Strip 1'").fetchone()
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location_id = row[0]
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# Create first cohort
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animal_ids_1 = ["01ARZ3NDEKTSV4RRFFQ69G5A01"]
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projection = AnimalRegistryProjection(seeded_db)
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event1 = make_cohort_event(animal_ids_1, location_id=location_id)
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projection.apply(event1)
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# Create second cohort with different event
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animal_ids_2 = ["01ARZ3NDEKTSV4RRFFQ69G5A02"]
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event2 = Event(
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id="01ARZ3NDEKTSV4RRFFQ69G5002", # Different event ID
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type=ANIMAL_COHORT_CREATED,
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ts_utc=1704067300000,
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actor="test_user",
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entity_refs={
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"location_id": location_id,
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"animal_ids": animal_ids_2,
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},
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payload={
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"species": "duck",
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"count": 1,
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"life_stage": "adult",
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"sex": "unknown",
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"location_id": location_id,
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"origin": "purchased",
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"notes": None,
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},
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version=1,
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)
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projection.apply(event2)
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# Verify both exist
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count = seeded_db.execute("SELECT COUNT(*) FROM animal_registry").fetchone()[0]
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assert count == 2
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# Revert only event1
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projection.revert(event1)
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# Event2's animal should still exist
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count = seeded_db.execute("SELECT COUNT(*) FROM animal_registry").fetchone()[0]
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assert count == 1
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row = seeded_db.execute("SELECT animal_id FROM animal_registry").fetchone()
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assert row[0] == animal_ids_2[0]
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