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life-echo/api/tests/test_memory_evidence.py

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"""Memory evidence 组装与检索契约(纯函数 / 无 DB"""
import pytest
from app.features.memory import evidence as evidence_mod
from app.features.memory.evidence import (
EMPTY_EVIDENCE_BUNDLE,
_facts_to_dicts,
_stories_to_dicts,
_timeline_to_dicts,
retrieve_evidence_bundle_sync,
)
from app.features.memory.schemas import EvidenceBundle
class _FakeEmbedding:
def is_available(self) -> bool:
return True
def embed_text_sync(self, text: str) -> list[float]:
return [0.25, 0.5, 0.75]
def test_retrieve_evidence_bundle_sync_uses_vector_search(
monkeypatch: pytest.MonkeyPatch,
) -> None:
searched: list[tuple] = []
def fake_search(session, user_id, emb, top_k):
searched.append((user_id, emb, top_k))
return [
{
"id": "c1",
"content": "chunk body",
"chunk_index": 0,
"distance": 0.1,
}
]
def fake_meta(session, user_id, q, top_k):
return {
"relevant_facts": [],
"timeline_hints": [],
"relevant_summaries": [],
"relevant_stories": [],
}
monkeypatch.setattr(evidence_mod, "search_chunks_vector_sync", fake_search)
monkeypatch.setattr(evidence_mod, "fetch_evidence_metadata_sync", fake_meta)
out = retrieve_evidence_bundle_sync(
session=object(),
user_id="u1",
query=" hello ",
top_k=7,
embedding_provider=_FakeEmbedding(),
)
assert len(searched) == 1
assert searched[0][0] == "u1"
assert searched[0][1] == [0.25, 0.5, 0.75]
assert searched[0][2] == 7
assert out["relevant_chunks"] == [
{"id": "c1", "content": "chunk body", "chunk_index": 0},
]
def test_empty_evidence_bundle_keys() -> None:
assert set(EMPTY_EVIDENCE_BUNDLE.keys()) == {
"relevant_chunks",
"relevant_summaries",
"relevant_facts",
"timeline_hints",
"relevant_stories",
}
def test_evidence_bundle_model_accepts_dict() -> None:
b = EvidenceBundle.model_validate(EMPTY_EVIDENCE_BUNDLE)
assert b.relevant_chunks == []
def test_format_helpers_empty() -> None:
assert _facts_to_dicts([]) == []
assert _timeline_to_dicts([]) == []
assert _stories_to_dicts([]) == []