fleet-memory/hindsight-api-slim/tests/test_link_utils.py
Nicolò Boschi 15ea23d5d6
feat: introduce hindsight-api-slim and hindsight-all-slim packages (#560)
* feat: introduce hindsight-api-slim and hindsight-all-slim packages

Closes #552

- Move all source code from hindsight-api/ to new hindsight-api-slim/
- hindsight-api-slim has heavy ML deps (torch, sentence-transformers,
  transformers, einops, flashrank, mlx, mlx-lm, safetensors) and
  pg0-embedded as optional extras: [local-ml], [embedded-db], [all]
- hindsight-api becomes a zero-code meta-package depending on
  hindsight-api-slim[all] for full backward compatibility
- Add hindsight-all-slim meta-package: hindsight-api-slim + client + embed
- hindsight-all updated to depend on hindsight-api-slim[all]
- pg0.py: lazy-import pg0 with clear ImportError pointing to [embedded-db]
- Dockerfile: replace sed hack with proper uv sync --extra flags
- Update release.yml, test.yml, lint.sh, release.sh, CLAUDE.md and
  all path references throughout the repo

* refactor: rename hindsight/ directory to hindsight-all/

* docs: document hindsight-api-slim and hindsight-all-slim package variants

Add package variants table and extras explanation to installation.md

* docs: remove emojis from installation.md, use professional tone

* docs: link Docker slim variant to pip package variants section

* docs: consolidate Docker image variants into single table

* ci: fix working-directory paths after package restructure

- Replace all hindsight-api → hindsight-api-slim in test.yml
- Replace hindsight → hindsight-all in test.yml
- Add --extra embedded-db to test-embed API install step

* ci: add local-ml and embedded-db extras to API sync steps

These extras were previously implicit in the old hindsight-api package
(which bundled everything). Now that hindsight-api-slim uses optional
extras, we must explicitly request local-ml and embedded-db in CI.

* ci: add API install step with embedded-db to test-embed smoke test

The smoke test starts hindsight-api as a daemon, which requires pg0-embedded.
Add a dedicated install step for hindsight-api-slim with embedded-db extra
so the daemon can start successfully.

* ci: remove --no-install-project when using optional extras

When --no-install-project is combined with --extra, the optional deps
are not installed because extras require the project to be active.
Remove --no-install-project from steps that need local-ml or embedded-db.

* ci: fix ordering of uv sync steps to preserve optional extras

When uv sync runs for a different workspace member, it removes optional
extras installed for other members. Fix by always running extra-requiring
API sync last, after other workspace member syncs.

Also remove --no-install-project from embedded-db sync in test-embed,
as --no-install-project prevents optional extras from being active.

* ci: add local-ml extra to test-embed API install for smoke test

The smoke test starts the full API server which needs sentence-transformers
for local embeddings (default provider). Add local-ml extra to the install.

* ci: simplify extras with --all-extras and add slim pip smoke test

- Replace explicit --extra local-ml --extra embedded-db with --all-extras
  for cleaner, more maintainable sync steps
- Add test-pip-slim job: tests hindsight-api-slim[embedded-db] without
  local ML models, using Cohere for embeddings/reranking (mirrors Docker
  slim smoke test approach)

* ci: simplify slim smoke test to health check only (mirrors Docker test)
2026-03-13 13:50:03 +01:00

256 lines
10 KiB
Python

"""Tests for link_utils datetime handling and temporal link computation."""
import pytest
from datetime import datetime, timezone, timedelta
from hindsight_api.engine.retain.link_utils import (
_normalize_datetime,
compute_temporal_links,
compute_temporal_query_bounds,
)
class TestNormalizeDatetime:
"""Tests for the _normalize_datetime helper function."""
def test_none_returns_none(self):
"""Test that None input returns None."""
assert _normalize_datetime(None) is None
def test_naive_datetime_becomes_utc(self):
"""Test that naive datetimes are converted to UTC."""
naive_dt = datetime(2024, 6, 15, 10, 30, 0)
result = _normalize_datetime(naive_dt)
assert result.tzinfo is not None
assert result.tzinfo == timezone.utc
assert result.year == 2024
assert result.month == 6
assert result.day == 15
assert result.hour == 10
assert result.minute == 30
def test_aware_datetime_unchanged(self):
"""Test that timezone-aware datetimes are returned unchanged."""
aware_dt = datetime(2024, 6, 15, 10, 30, 0, tzinfo=timezone.utc)
result = _normalize_datetime(aware_dt)
assert result == aware_dt
assert result.tzinfo == timezone.utc
def test_mixed_datetimes_can_be_compared(self):
"""Test that normalized naive and aware datetimes can be compared."""
naive_dt = datetime(2024, 6, 15, 10, 30, 0)
aware_dt = datetime(2024, 6, 15, 10, 30, 0, tzinfo=timezone.utc)
normalized_naive = _normalize_datetime(naive_dt)
normalized_aware = _normalize_datetime(aware_dt)
# Should be able to compare without TypeError
assert normalized_naive == normalized_aware
class TestComputeTemporalQueryBounds:
"""Tests for compute_temporal_query_bounds function."""
def test_empty_units_returns_none(self):
"""Test that empty input returns (None, None)."""
min_date, max_date = compute_temporal_query_bounds({})
assert min_date is None
assert max_date is None
def test_single_unit_normal_date(self):
"""Test bounds for a single unit with normal date."""
units = {"unit-1": datetime(2024, 6, 15, 12, 0, 0, tzinfo=timezone.utc)}
min_date, max_date = compute_temporal_query_bounds(units, time_window_hours=24)
assert min_date == datetime(2024, 6, 14, 12, 0, 0, tzinfo=timezone.utc)
assert max_date == datetime(2024, 6, 16, 12, 0, 0, tzinfo=timezone.utc)
def test_multiple_units(self):
"""Test bounds span across multiple units."""
units = {
"unit-1": datetime(2024, 6, 10, 12, 0, 0, tzinfo=timezone.utc),
"unit-2": datetime(2024, 6, 15, 12, 0, 0, tzinfo=timezone.utc),
"unit-3": datetime(2024, 6, 20, 12, 0, 0, tzinfo=timezone.utc),
}
min_date, max_date = compute_temporal_query_bounds(units, time_window_hours=24)
# min should be Jun 10 - 24h = Jun 9
assert min_date == datetime(2024, 6, 9, 12, 0, 0, tzinfo=timezone.utc)
# max should be Jun 20 + 24h = Jun 21
assert max_date == datetime(2024, 6, 21, 12, 0, 0, tzinfo=timezone.utc)
def test_mixed_naive_and_aware_datetimes(self):
"""Test that mixed naive/aware datetimes work correctly."""
units = {
"unit-1": datetime(2024, 6, 10, 12, 0, 0), # naive
"unit-2": datetime(2024, 6, 15, 12, 0, 0, tzinfo=timezone.utc), # aware
}
# Should not raise TypeError
min_date, max_date = compute_temporal_query_bounds(units, time_window_hours=24)
assert min_date is not None
assert max_date is not None
assert min_date.tzinfo is not None
assert max_date.tzinfo is not None
def test_overflow_near_datetime_min(self):
"""Test overflow protection near datetime.min."""
units = {"unit-1": datetime(1, 1, 2, 0, 0, tzinfo=timezone.utc)}
min_date, max_date = compute_temporal_query_bounds(units, time_window_hours=48)
# Should handle overflow gracefully
assert min_date == datetime.min.replace(tzinfo=timezone.utc)
assert max_date is not None
def test_overflow_near_datetime_max(self):
"""Test overflow protection near datetime.max."""
units = {"unit-1": datetime(9999, 12, 30, 0, 0, tzinfo=timezone.utc)}
min_date, max_date = compute_temporal_query_bounds(units, time_window_hours=48)
# Should handle overflow gracefully
assert min_date is not None
assert max_date == datetime.max.replace(tzinfo=timezone.utc)
class TestComputeTemporalLinks:
"""Tests for compute_temporal_links function."""
def test_empty_units_returns_empty(self):
"""Test that empty input returns empty list."""
links = compute_temporal_links({}, [])
assert links == []
def test_no_candidates_returns_empty(self):
"""Test that no candidates means no links."""
units = {"unit-1": datetime(2024, 6, 15, 12, 0, 0, tzinfo=timezone.utc)}
links = compute_temporal_links(units, [])
assert links == []
def test_candidate_within_window_creates_link(self):
"""Test that candidates within time window create links."""
units = {"unit-1": datetime(2024, 6, 15, 12, 0, 0, tzinfo=timezone.utc)}
candidates = [
{"id": "candidate-1", "event_date": datetime(2024, 6, 15, 10, 0, 0, tzinfo=timezone.utc)},
]
links = compute_temporal_links(units, candidates, time_window_hours=24)
assert len(links) == 1
assert links[0][0] == "unit-1"
assert links[0][1] == "candidate-1"
assert links[0][2] == "temporal"
assert links[0][4] is None
# Weight should be high since they're close (2 hours apart)
assert links[0][3] > 0.9
def test_candidate_outside_window_no_link(self):
"""Test that candidates outside time window don't create links."""
units = {"unit-1": datetime(2024, 6, 15, 12, 0, 0, tzinfo=timezone.utc)}
candidates = [
{"id": "candidate-1", "event_date": datetime(2024, 6, 10, 12, 0, 0, tzinfo=timezone.utc)},
]
links = compute_temporal_links(units, candidates, time_window_hours=24)
assert len(links) == 0
def test_weight_decreases_with_distance(self):
"""Test that weight decreases as time difference increases."""
units = {"unit-1": datetime(2024, 6, 15, 12, 0, 0, tzinfo=timezone.utc)}
candidates = [
{"id": "close", "event_date": datetime(2024, 6, 15, 11, 0, 0, tzinfo=timezone.utc)}, # 1 hour
{"id": "far", "event_date": datetime(2024, 6, 14, 18, 0, 0, tzinfo=timezone.utc)}, # 18 hours
]
links = compute_temporal_links(units, candidates, time_window_hours=24)
assert len(links) == 2
close_link = next(l for l in links if l[1] == "close")
far_link = next(l for l in links if l[1] == "far")
assert close_link[3] > far_link[3]
def test_max_10_links_per_unit(self):
"""Test that at most 10 links are created per unit."""
units = {"unit-1": datetime(2024, 6, 15, 12, 0, 0, tzinfo=timezone.utc)}
# Create 15 candidates all within window
candidates = [
{"id": f"candidate-{i}", "event_date": datetime(2024, 6, 15, 11, 0, 0, tzinfo=timezone.utc)}
for i in range(15)
]
links = compute_temporal_links(units, candidates, time_window_hours=24)
assert len(links) == 10
def test_multiple_units_multiple_candidates(self):
"""Test with multiple units and candidates."""
units = {
"unit-1": datetime(2024, 6, 15, 12, 0, 0, tzinfo=timezone.utc),
"unit-2": datetime(2024, 6, 20, 12, 0, 0, tzinfo=timezone.utc),
}
candidates = [
{"id": "c1", "event_date": datetime(2024, 6, 15, 10, 0, 0, tzinfo=timezone.utc)}, # near unit-1
{"id": "c2", "event_date": datetime(2024, 6, 20, 10, 0, 0, tzinfo=timezone.utc)}, # near unit-2
{"id": "c3", "event_date": datetime(2024, 6, 17, 12, 0, 0, tzinfo=timezone.utc)}, # between, near neither
]
links = compute_temporal_links(units, candidates, time_window_hours=24)
# unit-1 should link to c1 only
# unit-2 should link to c2 only
unit1_links = [l for l in links if l[0] == "unit-1"]
unit2_links = [l for l in links if l[0] == "unit-2"]
assert len(unit1_links) == 1
assert unit1_links[0][1] == "c1"
assert len(unit2_links) == 1
assert unit2_links[0][1] == "c2"
def test_mixed_naive_and_aware_datetimes(self):
"""Test that mixed naive/aware datetimes work correctly."""
units = {"unit-1": datetime(2024, 6, 15, 12, 0, 0)} # naive
candidates = [
{"id": "c1", "event_date": datetime(2024, 6, 15, 10, 0, 0, tzinfo=timezone.utc)}, # aware
]
# Should not raise TypeError
links = compute_temporal_links(units, candidates, time_window_hours=24)
assert len(links) == 1
def test_overflow_near_datetime_min(self):
"""Test overflow protection when unit date is near datetime.min."""
units = {"unit-1": datetime(1, 1, 2, 0, 0, tzinfo=timezone.utc)}
candidates = [
{"id": "c1", "event_date": datetime(1, 1, 1, 12, 0, 0, tzinfo=timezone.utc)},
]
# Should not raise OverflowError
links = compute_temporal_links(units, candidates, time_window_hours=48)
assert len(links) == 1
def test_overflow_near_datetime_max(self):
"""Test overflow protection when unit date is near datetime.max."""
units = {"unit-1": datetime(9999, 12, 30, 0, 0, tzinfo=timezone.utc)}
candidates = [
{"id": "c1", "event_date": datetime(9999, 12, 31, 12, 0, 0, tzinfo=timezone.utc)},
]
# Should not raise OverflowError
links = compute_temporal_links(units, candidates, time_window_hours=48)
assert len(links) == 1
def test_weight_minimum_is_0_3(self):
"""Test that weight doesn't go below 0.3."""
units = {"unit-1": datetime(2024, 6, 15, 12, 0, 0, tzinfo=timezone.utc)}
candidates = [
# 23 hours apart - should be just within 24h window but low weight
{"id": "c1", "event_date": datetime(2024, 6, 14, 13, 0, 0, tzinfo=timezone.utc)},
]
links = compute_temporal_links(units, candidates, time_window_hours=24)
assert len(links) == 1
assert links[0][3] >= 0.3