Files
animaltrack/tests/test_projection_event_animals.py
Petru Paler 876e8174ee feat: add animal cohort creation projection and service
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>
2025-12-29 06:52:23 +00:00

179 lines
6.2 KiB
Python

# ABOUTME: Tests for EventAnimalsProjection.
# ABOUTME: Validates event_animals link table updates on animal events.
from animaltrack.events.types import ANIMAL_COHORT_CREATED
from animaltrack.models.events import Event
from animaltrack.projections.event_animals import EventAnimalsProjection
def make_cohort_event(
event_id: str,
animal_ids: list[str],
location_id: str = "01ARZ3NDEKTSV4RRFFQ69G5FAV",
ts_utc: int = 1704067200000,
) -> Event:
"""Create a test AnimalCohortCreated event."""
return Event(
id=event_id,
type=ANIMAL_COHORT_CREATED,
ts_utc=ts_utc,
actor="test_user",
entity_refs={
"location_id": location_id,
"animal_ids": animal_ids,
},
payload={
"species": "duck",
"count": len(animal_ids),
"life_stage": "adult",
"sex": "unknown",
"location_id": location_id,
"origin": "purchased",
"notes": None,
},
version=1,
)
class TestEventAnimalsProjectionEventTypes:
"""Tests for get_event_types method."""
def test_handles_animal_cohort_created(self, seeded_db):
"""Projection handles AnimalCohortCreated event type."""
projection = EventAnimalsProjection(seeded_db)
assert ANIMAL_COHORT_CREATED in projection.get_event_types()
class TestEventAnimalsProjectionApply:
"""Tests for apply()."""
def test_creates_event_animal_link_for_each_animal(self, seeded_db):
"""Apply creates one row in event_animals per animal_id."""
row = seeded_db.execute("SELECT id FROM locations WHERE name = 'Strip 1'").fetchone()
location_id = row[0]
animal_ids = [
"01ARZ3NDEKTSV4RRFFQ69G5A01",
"01ARZ3NDEKTSV4RRFFQ69G5A02",
"01ARZ3NDEKTSV4RRFFQ69G5A03",
]
event_id = "01ARZ3NDEKTSV4RRFFQ69G5001"
projection = EventAnimalsProjection(seeded_db)
event = make_cohort_event(event_id, animal_ids, location_id=location_id)
projection.apply(event)
# Check event_animals has 3 rows
count = seeded_db.execute("SELECT COUNT(*) FROM event_animals").fetchone()[0]
assert count == 3
# Check each animal_id is linked
for animal_id in animal_ids:
row = seeded_db.execute(
"SELECT event_id FROM event_animals WHERE animal_id = ?",
(animal_id,),
).fetchone()
assert row is not None
assert row[0] == event_id
def test_event_animal_link_has_correct_event_id(self, seeded_db):
"""Event animal link has correct event_id."""
row = seeded_db.execute("SELECT id FROM locations WHERE name = 'Strip 1'").fetchone()
location_id = row[0]
animal_ids = ["01ARZ3NDEKTSV4RRFFQ69G5A01"]
event_id = "01ARZ3NDEKTSV4RRFFQ69G5001"
projection = EventAnimalsProjection(seeded_db)
event = make_cohort_event(event_id, animal_ids, location_id=location_id)
projection.apply(event)
row = seeded_db.execute(
"SELECT event_id FROM event_animals WHERE animal_id = ?",
(animal_ids[0],),
).fetchone()
assert row[0] == event_id
def test_event_animal_link_has_correct_ts_utc(self, seeded_db):
"""Event animal link has correct ts_utc."""
row = seeded_db.execute("SELECT id FROM locations WHERE name = 'Strip 1'").fetchone()
location_id = row[0]
animal_ids = ["01ARZ3NDEKTSV4RRFFQ69G5A01"]
event_id = "01ARZ3NDEKTSV4RRFFQ69G5001"
ts_utc = 1704067200000
projection = EventAnimalsProjection(seeded_db)
event = make_cohort_event(event_id, animal_ids, location_id=location_id, ts_utc=ts_utc)
projection.apply(event)
row = seeded_db.execute(
"SELECT ts_utc FROM event_animals WHERE animal_id = ?",
(animal_ids[0],),
).fetchone()
assert row[0] == ts_utc
class TestEventAnimalsProjectionRevert:
"""Tests for revert()."""
def test_removes_event_animal_links(self, seeded_db):
"""Revert deletes rows from event_animals."""
row = seeded_db.execute("SELECT id FROM locations WHERE name = 'Strip 1'").fetchone()
location_id = row[0]
animal_ids = [
"01ARZ3NDEKTSV4RRFFQ69G5A01",
"01ARZ3NDEKTSV4RRFFQ69G5A02",
]
event_id = "01ARZ3NDEKTSV4RRFFQ69G5001"
projection = EventAnimalsProjection(seeded_db)
event = make_cohort_event(event_id, animal_ids, location_id=location_id)
projection.apply(event)
# Verify rows exist
count = seeded_db.execute("SELECT COUNT(*) FROM event_animals").fetchone()[0]
assert count == 2
# Revert
projection.revert(event)
# Verify rows removed
count = seeded_db.execute("SELECT COUNT(*) FROM event_animals").fetchone()[0]
assert count == 0
def test_revert_only_affects_specific_event(self, seeded_db):
"""Revert only removes links for the specific event."""
row = seeded_db.execute("SELECT id FROM locations WHERE name = 'Strip 1'").fetchone()
location_id = row[0]
# Create first event
animal_ids_1 = ["01ARZ3NDEKTSV4RRFFQ69G5A01"]
event_id_1 = "01ARZ3NDEKTSV4RRFFQ69G5001"
projection = EventAnimalsProjection(seeded_db)
event1 = make_cohort_event(event_id_1, animal_ids_1, location_id=location_id)
projection.apply(event1)
# Create second event
animal_ids_2 = ["01ARZ3NDEKTSV4RRFFQ69G5A02"]
event_id_2 = "01ARZ3NDEKTSV4RRFFQ69G5002"
event2 = make_cohort_event(
event_id_2, animal_ids_2, location_id=location_id, ts_utc=1704067300000
)
projection.apply(event2)
# Verify both exist
count = seeded_db.execute("SELECT COUNT(*) FROM event_animals").fetchone()[0]
assert count == 2
# Revert only event1
projection.revert(event1)
# Event2's link should still exist
count = seeded_db.execute("SELECT COUNT(*) FROM event_animals").fetchone()[0]
assert count == 1
row = seeded_db.execute("SELECT event_id FROM event_animals").fetchone()
assert row[0] == event_id_2