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