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life-echo/api/app/features/memoir/background_runner.py

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refactor(api,expo): 多智能体与会话收敛、回忆录兼容层移除、后端测试集大幅删减 - 对齐「多智能体收敛」与「回忆录 stories-first / markdown-first」方向:收紧运行时契约、 删除过渡兼容路径与双轨逻辑,并同步更新客户端与文档。 - Chat:以 ChatOrchestrator 为实时编排入口;删除独立 conversation_agent,精简 prompts。 - Memoir:删除 memory_agent;MemoirOrchestrator、classification / story_route 与 prompts 收敛到 prepare_batches + run_story_pipeline_for_category_batch 主链路。 - 将 agents 侧 processor 迁入 feature 层为 background_runner,并移除 features 下重复/过时 processor 封装。 - 新增 history_store,强化「conversation_messages 为 DB 真源、Redis 为缓存」模型。 - 调整 models、repo、service、session_history;精简 WS message_types,重构 pipeline 与 router。 - 移除章节占位、整章再生等旧路径;章节列表与封面逻辑要求 story 关联;收紧 cover 资格与 enqueue。 - helpers、repo、service、router、reading_segment_materialize、story_pipeline_sync、pdf_service 等按 canonical markdown / cover_asset_id 收缩;删除 memoir_images/provider 等冗余。 - tasks:memoir_tasks、chapter_cover_tasks 等大幅瘦身;story_image_tasks 等与当前图片任务对齐。 - core:config、logging、redis、task_tracker 小幅调整。 - auth / user / payment / quota:路由或服务侧删减过时接口或逻辑(如 payment router 行数减少)。 - pyproject.toml、development.sh、.env.example / .env.production、README 等同步说明或变量。 - Alembic 0001_initial_schema 微调(与当前 schema 叙事一致的小改动)。 - 回忆录:types / mappers / api、章节页与 memoir 页与后端契约对齐;markdown-renderer 调整。 - 语音:删除 voice/player,voice-segment-store 相应精简。 - api/tests:删除 conftest 及绝大部分既有测试文件(websocket_baseline、conversation、memoir 图片、PDF、SMS 等),属有意收缩/待按 backend-test-system 重建的信号。 - docs:新增多智能体收敛与移除兼容层计划摘要;更新 story-first 设计、backend-test-system、 multi-agent-refactor-plan、实施总结等。 BREAKING CHANGE: 后端对外契约、回忆录章节字段与若干路由/任务行为已变更;大量 API 测试被移除, CI 若依赖这些用例需按新策略补测或调整流水线。
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"""回忆录后台任务聚合debounce 后派发 process_memoir_segmentsfeature 层)。"""
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from __future__ import annotations
import asyncio
import time
from dataclasses import dataclass, field
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from typing import Dict, List
from app.core.config import settings
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from app.core.logging import get_logger
from app.core.task_tracker import task_tracker
logger = get_logger(__name__)
def _batch_ready_for_submit(
*,
min_chars: int,
max_wait_seconds: float,
total_text_chars: int,
elapsed_seconds: float,
) -> bool:
"""字数门闸开启时,静默结束后是否应提交(不含 min_chars==0 的早退,由调用方处理)。"""
if min_chars <= 0:
return True
if total_text_chars >= min_chars:
return True
if max_wait_seconds <= 0:
return True
return elapsed_seconds >= max_wait_seconds
def _next_retry_sleep_seconds(
debounce_seconds: float,
max_wait_seconds: float,
elapsed_seconds: float,
) -> float:
"""未达字数且未超时:下次再 sleep 的秒数。"""
return min(debounce_seconds, max(0.0, max_wait_seconds - elapsed_seconds))
@dataclass
class _MemoirBatchState:
segment_ids: list[str] = field(default_factory=list)
total_text_chars: int = 0
first_queued_monotonic: float | None = None
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class BackgroundTaskRunner:
def __init__(self, debounce_seconds: int = 5) -> None:
self.debounce_seconds = debounce_seconds
self._batch: Dict[str, _MemoirBatchState] = {}
self._timers: Dict[str, asyncio.Task[None]] = {}
def _pop_batch(self, user_id: str) -> list[str]:
st = self._batch.pop(user_id, None)
if not st or not st.segment_ids:
return []
ids = st.segment_ids
return ids
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async def _submit_task(self, user_id: str, segment_ids: List[str]) -> str | None:
try:
from app.tasks.memoir_tasks import process_memoir_segments
result = process_memoir_segments.delay(user_id, segment_ids)
task_id = result.id
await task_tracker.add_task(user_id, task_id, "memoir")
logger.info(
"已提交 Celery 任务: user_id={}, task_id={}, segments={}",
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user_id,
task_id,
len(segment_ids),
)
return task_id
except Exception as e:
logger.error("提交 Celery 任务失败: {}", e)
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return None
async def queue_message(
self, user_id: str, segment_id: str, *, text_char_count: int = 0
) -> None:
st = self._batch.setdefault(user_id, _MemoirBatchState())
if not st.segment_ids:
st.first_queued_monotonic = time.monotonic()
st.segment_ids.append(segment_id)
st.total_text_chars += max(0, text_char_count)
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if user_id in self._timers:
self._timers[user_id].cancel()
async def delayed_submit() -> None:
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try:
await asyncio.sleep(self.debounce_seconds)
while True:
if user_id not in self._batch:
return
batch = self._batch.get(user_id)
if not batch or not batch.segment_ids:
return
min_c = int(settings.memoir_segment_batch_min_chars)
max_w = float(settings.memoir_segment_batch_max_wait_seconds)
if min_c <= 0:
segment_ids = self._pop_batch(user_id)
if segment_ids:
await self._submit_task(user_id, segment_ids)
return
first = batch.first_queued_monotonic
if first is None:
segment_ids = self._pop_batch(user_id)
if segment_ids:
await self._submit_task(user_id, segment_ids)
return
now = time.monotonic()
elapsed = now - first
total = batch.total_text_chars
if _batch_ready_for_submit(
min_chars=min_c,
max_wait_seconds=max_w,
total_text_chars=total,
elapsed_seconds=elapsed,
):
segment_ids = self._pop_batch(user_id)
if segment_ids:
await self._submit_task(user_id, segment_ids)
return
sleep_more = _next_retry_sleep_seconds(
float(self.debounce_seconds),
max_w,
elapsed,
)
if sleep_more <= 0:
segment_ids = self._pop_batch(user_id)
if segment_ids:
await self._submit_task(user_id, segment_ids)
return
await asyncio.sleep(sleep_more)
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except asyncio.CancelledError:
pass
except Exception as e:
logger.error("延迟提交任务失败: {}", e)
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self._timers[user_id] = asyncio.create_task(delayed_submit())
async def flush_pending(self, user_id: str) -> str | None:
if user_id in self._timers:
self._timers[user_id].cancel()
del self._timers[user_id]
segment_ids = self._pop_batch(user_id)
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if segment_ids:
return await self._submit_task(user_id, segment_ids)
return None