Files
life-echo/api/tests/test_memory_compaction.py
Kevin e884409410 feat(api): Memory compaction 管线与调度修复,同步环境变量示例
Memory compaction(近重复 chunk 软排除)
- 新增 compaction 调度:Redis debounce、scheduler gate、增量游标;任务结束时 finalize,避免 gate 长期占用并处理运行期新 trigger。
- Celery memory_compaction_run:debounce 未到点则 retry;用户级 Redis 锁;成功路径更新游标并 finalize;异常时释放 scheduler gate 并 self.retry,避免静默卡死调度与瞬时失败不重试。
- compaction_service:多层判定 + canonical 打分;无 embedding 时停止前移游标(awaiting_embeddings);curation details 补全 trigger 等上下文。
- ingest_transcript_sync:同步路径尽力写入 embedding,与异步 ingest 行为对齐,避免 compaction 永远扫不到无向量 chunk。
- repo:新增 update_chunk_embedding_sync。
测试
- 扩展 test_memory_compaction:调度合并、finalize、ingest embedding、无向量游标、异常路径 gate+retry 等回归用
2026-03-30 10:46:35 +08:00

441 lines
14 KiB
Python

"""Memory compaction 回归测试。"""
from __future__ import annotations
from contextlib import contextmanager
from datetime import datetime, timezone
from types import SimpleNamespace
import pytest
from app.core.config import settings
from app.core import memory_compaction_schedule as schedule
from app.features.memory.compaction_service import (
canonical_score,
count_duplicate_layers,
embedding_layer_match,
metadata_layer_match,
run_memory_compaction_sync,
text_layer_match,
)
from app.features.memory.service import ingest_transcript_sync
from app.tasks.memory_compaction_tasks import memory_compaction_run
class FakeRedis:
def __init__(self) -> None:
self._store: dict[str, str] = {}
def get(self, key: str) -> str | None:
return self._store.get(key)
def set(
self,
key: str,
value: str,
*,
nx: bool = False,
ex: int | None = None,
) -> bool:
if nx and key in self._store:
return False
self._store[key] = value
return True
def delete(self, key: str) -> int:
existed = key in self._store
self._store.pop(key, None)
return int(existed)
def test_embedding_layer_uses_cosine_distance() -> None:
assert embedding_layer_match(0.05, similarity_threshold=0.92) is True
assert embedding_layer_match(0.2, similarity_threshold=0.92) is False
def test_text_layer_jaccard() -> None:
a = "我在乡下度过童年 夏天很热"
b = "我在乡下度过童年 夏天很热"
assert text_layer_match(a, b, jaccard_min=0.55) is True
def test_metadata_layer_same_source() -> None:
from unittest.mock import MagicMock
c = MagicMock()
c.source_id = "s1"
c.event_year = None
assert (
metadata_layer_match(
c, {"source_id": "s1", "event_year": None}, event_year_window=1
)
is True
)
assert (
metadata_layer_match(
c, {"source_id": "s2", "event_year": None}, event_year_window=1
)
is False
)
def test_count_duplicate_layers_requires_min() -> None:
from unittest.mock import MagicMock
c = MagicMock()
c.source_id = "a"
c.event_year = 1990
c.content = "hello world test duplicate"
nb = {
"content": "hello world test duplicate",
"source_id": "b",
"event_year": 1991,
}
layers = count_duplicate_layers(
chunk=c,
neighbor=nb,
distance=0.02,
similarity_threshold=0.9,
jaccard_min=0.55,
event_year_window=1,
)
assert layers >= 2
def test_canonical_score_prefers_longer_and_draft() -> None:
s1 = canonical_score(content="short", metadata_json={}, source_type="transcript")
s2 = canonical_score(content="short", metadata_json={}, source_type="draft")
assert s2 > s1
def test_schedule_merges_subsequent_triggers(monkeypatch) -> None:
fake_redis = FakeRedis()
calls: list[tuple[str, dict, int]] = []
monkeypatch.setattr(settings, "memory_compaction_enabled", True)
monkeypatch.setattr(settings, "memory_compaction_debounce_seconds", 30)
monkeypatch.setattr(schedule, "_get_redis", lambda: fake_redis)
monkeypatch.setattr(schedule.time, "time", lambda: 100.0)
monkeypatch.setattr(
schedule,
"_enqueue_memory_compaction_task",
lambda user_id, context, *, countdown: calls.append(
(user_id, context or {}, countdown)
),
)
schedule.schedule_memory_compaction_run("u1", {"trigger_source": "memoir_segments"})
schedule.schedule_memory_compaction_run(
"u1", {"trigger_source": "chapter_recompose"}
)
assert len(calls) == 1
assert fake_redis.get(schedule.scheduler_key("u1")) == "1"
assert fake_redis.get(schedule.debounce_key("u1")) == "130.0"
def test_finalize_reschedules_when_deadline_extended(monkeypatch) -> None:
fake_redis = FakeRedis()
calls: list[tuple[str, dict, int]] = []
monkeypatch.setattr(settings, "memory_compaction_debounce_seconds", 30)
monkeypatch.setattr(schedule, "_get_redis", lambda: fake_redis)
monkeypatch.setattr(schedule.time, "time", lambda: 140.0)
monkeypatch.setattr(
schedule,
"_enqueue_memory_compaction_task",
lambda user_id, context, *, countdown: calls.append(
(user_id, context or {}, countdown)
),
)
fake_redis.set(schedule.debounce_key("u1"), "175.0")
fake_redis.set(schedule.scheduler_key("u1"), "1")
schedule.finalize_memory_compaction_run(
"u1",
observed_deadline_ts=130.0,
context={"trigger_source": "memoir_segments"},
)
assert len(calls) == 1
assert calls[0][2] == 35
assert fake_redis.get(schedule.scheduler_key("u1")) == "1"
assert fake_redis.get(schedule.debounce_key("u1")) == "175.0"
def test_finalize_clears_stale_deadline_when_not_extended(monkeypatch) -> None:
fake_redis = FakeRedis()
monkeypatch.setattr(settings, "memory_compaction_debounce_seconds", 30)
monkeypatch.setattr(schedule, "_get_redis", lambda: fake_redis)
fake_redis.set(schedule.debounce_key("u1"), "130.0")
fake_redis.set(schedule.scheduler_key("u1"), "1")
schedule.finalize_memory_compaction_run(
"u1",
observed_deadline_ts=130.0,
context={"trigger_source": "memoir_segments"},
)
assert fake_redis.get(schedule.scheduler_key("u1")) is None
assert fake_redis.get(schedule.debounce_key("u1")) is None
def test_ingest_transcript_sync_populates_embeddings(monkeypatch) -> None:
class FakeSession:
def __init__(self) -> None:
self.flush_calls = 0
self.commit_calls = 0
def flush(self) -> None:
self.flush_calls += 1
def commit(self) -> None:
self.commit_calls += 1
class FakeEmbeddingProvider:
async def embed_texts(self, texts: list[str]) -> list[list[float]]:
return [[float(i)] for i, _ in enumerate(texts, start=1)]
fake_session = FakeSession()
embedded: list[tuple[str, list[float]]] = []
fts_updated: list[str] = []
monkeypatch.setattr(settings, "memory_enrichment_enabled", False)
monkeypatch.setattr(
"app.core.dependencies.get_embedding_provider",
lambda: FakeEmbeddingProvider(),
)
monkeypatch.setattr(
"app.features.memory.chunker.chunk_transcript",
lambda transcript: ["第一段", "第二段"],
)
monkeypatch.setattr(
"app.features.memory.repo.create_source_sync",
lambda *args, **kwargs: SimpleNamespace(id="src-1"),
)
monkeypatch.setattr(
"app.features.memory.repo.create_chunk_sync",
lambda *args, **kwargs: SimpleNamespace(id=f"chunk-{kwargs['chunk_index']}"),
)
monkeypatch.setattr(
"app.features.memory.repo.update_chunk_fts_sync",
lambda session, chunk_id: fts_updated.append(chunk_id),
)
monkeypatch.setattr(
"app.features.memory.repo.update_chunk_embedding_sync",
lambda session, chunk_id, embedding: embedded.append((chunk_id, embedding)),
)
source_id = ingest_transcript_sync(
fake_session,
user_id="u1",
conversation_id="conv-1",
transcript="hello",
)
assert source_id == "src-1"
assert [chunk_id for chunk_id, _ in embedded] == ["chunk-0", "chunk-1"]
assert fts_updated == ["chunk-0", "chunk-1"]
assert fake_session.commit_calls == 1
def test_run_memory_compaction_stops_before_missing_embedding(monkeypatch) -> None:
chunk = SimpleNamespace(
id="chunk-1",
created_at=datetime(2024, 1, 1, tzinfo=timezone.utc),
)
row = SimpleNamespace(
id="chunk-1",
created_at=datetime(2024, 1, 1, tzinfo=timezone.utc),
is_excluded=False,
embedding=None,
)
monkeypatch.setattr(
"app.features.memory.compaction_service.list_incremental_chunks_for_compaction_sync",
lambda *args, **kwargs: [chunk],
)
monkeypatch.setattr(
"app.features.memory.compaction_service.get_memory_chunk_sync",
lambda *args, **kwargs: row,
)
out = run_memory_compaction_sync(
session=object(),
user_id="u1",
context={
"_cursor_pair_override": (
datetime(1970, 1, 1, tzinfo=timezone.utc),
"00000000-0000-0000-0000-000000000000",
)
},
)
assert out["skipped_reason"] == "awaiting_embeddings"
assert out["pending_chunk_id"] == "chunk-1"
assert out["new_cursor_id"] is None
def test_curation_action_details_include_trigger_context(monkeypatch) -> None:
now = datetime(2024, 1, 1, tzinfo=timezone.utc)
chunk = SimpleNamespace(
id="chunk-1",
created_at=now,
content="hello world duplicate",
metadata_json={"a": 1},
source_id="s1",
event_year=1990,
embedding=[0.1, 0.2],
is_excluded=False,
)
loser = SimpleNamespace(id="chunk-2", is_excluded=False)
captured: list[dict] = []
monkeypatch.setattr(
"app.features.memory.compaction_service.list_incremental_chunks_for_compaction_sync",
lambda *args, **kwargs: [chunk],
)
def fake_get_memory_chunk_sync(_session, chunk_id: str, _user_id: str):
if chunk_id == "chunk-1":
return chunk
if chunk_id == "chunk-2":
return loser
return None
monkeypatch.setattr(
"app.features.memory.compaction_service.get_memory_chunk_sync",
fake_get_memory_chunk_sync,
)
monkeypatch.setattr(
"app.features.memory.compaction_service._source_type_for_chunk",
lambda *args, **kwargs: "draft",
)
monkeypatch.setattr(
"app.features.memory.compaction_service.search_nearest_chunks_for_compaction_sync",
lambda *args, **kwargs: [
{
"id": "chunk-2",
"content": "hello world duplicate",
"source_id": "s1",
"event_year": 1990,
"metadata_json": {"b": 2},
"source_type": "transcript",
"created_at": now,
"distance": 0.01,
}
],
)
monkeypatch.setattr(
"app.features.memory.compaction_service.set_chunk_excluded_sync",
lambda *args, **kwargs: True,
)
monkeypatch.setattr(
"app.features.memory.compaction_service.create_curation_action_sync",
lambda _session, **kwargs: captured.append(kwargs["details"]),
)
out = run_memory_compaction_sync(
session=object(),
user_id="u1",
context={
"_cursor_pair_override": (
datetime(1970, 1, 1, tzinfo=timezone.utc),
"00000000-0000-0000-0000-000000000000",
),
"trigger_source": "memoir_segments",
"trigger_time": "2026-03-30T00:00:00+00:00",
"pipeline_run_id": "run-1",
"request_id": "req-1",
"story_dispatch_ids": ["story-1"],
"candidate_source_ids": ["s1"],
"chapters_to_enqueue": ["chapter-1"],
},
)
assert out["chunks_excluded"] == 1
assert captured[0]["trigger_time"] == "2026-03-30T00:00:00+00:00"
assert captured[0]["candidate_source_ids"] == ["s1"]
assert captured[0]["chapters_to_enqueue"] == ["chapter-1"]
@pytest.mark.parametrize("failure_stage", ["run", "commit"])
def test_memory_compaction_run_releases_gate_and_retries_on_failure(
monkeypatch, failure_stage: str
) -> None:
events: list[str] = []
class RetryTriggered(RuntimeError):
pass
class FakeSession:
def commit(self) -> None:
events.append("commit")
if failure_stage == "commit":
raise RuntimeError("db hiccup")
@contextmanager
def fake_get_sync_db():
yield FakeSession()
def fake_run_memory_compaction_sync(session, user_id: str, context: dict | None):
events.append("run")
if failure_stage == "run":
raise RuntimeError("compaction failed")
return {
"chunks_scanned": 0,
"chunks_excluded": 0,
"candidates_considered": 0,
"new_cursor_ts": None,
"new_cursor_id": None,
"duration_ms": 0.0,
"skipped_reason": None,
}
def fake_retry(*, exc):
events.append(f"retry:{type(exc).__name__}")
raise RetryTriggered("retried")
monkeypatch.setattr(settings, "memory_compaction_enabled", True)
monkeypatch.setattr(
"app.tasks.memory_compaction_tasks.read_debounce_deadline_ts",
lambda user_id: 100.0,
)
monkeypatch.setattr(
"app.tasks.memory_compaction_tasks.acquire_redis_lock",
lambda *args, **kwargs: SimpleNamespace(key="lock", token=b"t"),
)
monkeypatch.setattr(
"app.tasks.memory_compaction_tasks.release_redis_lock",
lambda lock: events.append("release_lock"),
)
monkeypatch.setattr(
"app.tasks.memory_compaction_tasks.release_scheduler_gate",
lambda user_id: events.append("release_gate"),
)
monkeypatch.setattr(
"app.tasks.memory_compaction_tasks.get_sync_db",
fake_get_sync_db,
)
monkeypatch.setattr(
"app.tasks.memory_compaction_tasks.run_memory_compaction_sync",
fake_run_memory_compaction_sync,
)
monkeypatch.setattr(
memory_compaction_run,
"retry",
fake_retry,
)
with pytest.raises(RetryTriggered):
memory_compaction_run.run("u1", {"trigger_source": "memoir_segments"})
assert "release_gate" in events
assert "retry:RuntimeError" in events
assert "release_lock" in events
assert events.index("release_gate") < events.index("retry:RuntimeError")