fleet-memory/hindsight-api-slim/tests/test_fact_extraction_retry.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

141 lines
5.1 KiB
Python

"""
Unit tests for fact extraction retry logic.
Tests the fix for the TypeError when LLM returns invalid JSON across all retries.
Previously, `raise last_error` would raise None (TypeError) because last_error was
only set in the BadRequestError handler, not when the LLM returned non-dict JSON.
"""
from datetime import datetime, timezone
from unittest.mock import AsyncMock, MagicMock, patch
import pytest
def _make_config(llm_max_retries: int = 3, retain_llm_max_retries: int | None = None):
"""Build a minimal HindsightConfig for fact extraction tests."""
from hindsight_api.config import HindsightConfig
cfg = MagicMock(spec=HindsightConfig)
cfg.retain_llm_max_retries = retain_llm_max_retries
cfg.llm_max_retries = llm_max_retries
cfg.retain_llm_initial_backoff = None
cfg.llm_initial_backoff = 0.0
cfg.retain_llm_max_backoff = None
cfg.llm_max_backoff = 0.0
cfg.retain_max_completion_tokens = 8192
cfg.retain_extraction_mode = "concise"
cfg.retain_extract_causal_links = False
cfg.retain_mission = None
return cfg
def _make_llm_config(mock_response):
"""Build a mock LLMProvider that returns the given response."""
from hindsight_api.engine.llm_wrapper import LLMProvider
llm = MagicMock(spec=LLMProvider)
llm.provider = "mock"
token_usage = MagicMock()
token_usage.__add__ = lambda self, other: self
llm.call = AsyncMock(return_value=(mock_response, token_usage))
return llm
@pytest.mark.asyncio
async def test_non_dict_json_all_retries_returns_empty():
"""
When LLM returns non-dict JSON on every attempt, extraction should return []
without raising TypeError ('exceptions must derive from BaseException').
This was the bug: the loop ran range(2) times (hardcoded), but comparisons
used config.llm_max_retries (default 10). On the last loop iteration (attempt=1),
`attempt < 10 - 1` was True, so the code called `continue`, the loop
exhausted, and `raise last_error` raised None → TypeError.
"""
from hindsight_api.engine.retain.fact_extraction import _extract_facts_from_chunk
# llm_max_retries=3 ensures the bug triggers with the old code (3 != 2 hardcoded)
config = _make_config(llm_max_retries=3, retain_llm_max_retries=None)
# Mock: always returns a list (non-dict), which is invalid
llm_config = _make_llm_config(mock_response=[{"invalid": "response"}])
with patch(
"hindsight_api.engine.retain.fact_extraction._build_extraction_prompt_and_schema",
return_value=("system prompt", MagicMock()),
):
facts, usage = await _extract_facts_from_chunk(
chunk="Alice visited Paris in 2023.",
chunk_index=0,
total_chunks=1,
event_date=datetime(2023, 1, 1, tzinfo=timezone.utc),
context="travel notes",
llm_config=llm_config,
config=config,
agent_name="test-agent",
)
assert facts == []
@pytest.mark.asyncio
async def test_non_dict_json_with_default_max_retries_returns_empty():
"""
Same scenario with the default llm_max_retries=10 (matching real default config).
The old code ran range(2) but checked against 10, always continuing until
the loop exhausted, then raised None → TypeError.
"""
from hindsight_api.engine.retain.fact_extraction import _extract_facts_from_chunk
config = _make_config(llm_max_retries=10, retain_llm_max_retries=None)
llm_config = _make_llm_config(mock_response="not a dict at all")
with patch(
"hindsight_api.engine.retain.fact_extraction._build_extraction_prompt_and_schema",
return_value=("system prompt", MagicMock()),
):
facts, usage = await _extract_facts_from_chunk(
chunk="Some text.",
chunk_index=0,
total_chunks=1,
event_date=datetime(2023, 6, 1, tzinfo=timezone.utc),
context="",
llm_config=llm_config,
config=config,
agent_name="agent",
)
assert facts == []
@pytest.mark.asyncio
async def test_retain_llm_max_retries_overrides_global():
"""
When retain_llm_max_retries is set, it should be used for the loop range
and all comparisons (no shadowing bug).
"""
from hindsight_api.engine.retain.fact_extraction import _extract_facts_from_chunk
# retain_llm_max_retries=5 should override llm_max_retries=10
config = _make_config(llm_max_retries=10, retain_llm_max_retries=5)
llm_config = _make_llm_config(mock_response=42) # non-dict: integer
with patch(
"hindsight_api.engine.retain.fact_extraction._build_extraction_prompt_and_schema",
return_value=("system prompt", MagicMock()),
):
facts, usage = await _extract_facts_from_chunk(
chunk="Bob likes Python.",
chunk_index=0,
total_chunks=1,
event_date=datetime(2024, 1, 1, tzinfo=timezone.utc),
context="",
llm_config=llm_config,
config=config,
agent_name="agent",
)
assert facts == []
# Verify it retried exactly retain_llm_max_retries times
assert llm_config.call.call_count == 5