feat: add admin routes, summarizer service, and CLI summarize command
- Add /admin routes for manual trigger and status inspection - Add summarizer service with batch/single summary support - Add summarize CLI command (single arxiv_id or batch pending) - Register admin router in main app - Add tests for summarizer
This commit is contained in:
+40
@@ -49,6 +49,46 @@ def crawl(
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db.close()
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@cli_app.command()
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def summarize(
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arxiv_id: str = typer.Argument(
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None,
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help="指定论文 arXiv ID；留空则批量处理所有 pending",
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),
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):
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"""手动触发 AI 总结。"""
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from app.config import settings
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from app.database import SessionLocal, engine
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from app.models import init_db as _init
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from app.services.summarizer import summarize_batch, summarize_single
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import os
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os.makedirs(settings.db_path.parent, exist_ok=True)
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_init(engine)
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db = SessionLocal()
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try:
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if arxiv_id:
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typer.echo(f"🤖 开始总结 {arxiv_id} ...")
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result = asyncio.run(summarize_single(db, arxiv_id))
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else:
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typer.echo("🤖 开始批量总结 pending 论文 ...")
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result = asyncio.run(summarize_batch(db))
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if result.get("status") in ("success", "done"):
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typer.echo(f"✅ 总结完成：{result}")
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elif result.get("status") == "conflict":
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typer.echo("⚠️ 已有批量总结任务在运行中", err=True)
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raise typer.Exit(code=1)
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elif result.get("status") == "not_found":
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typer.echo(f"❌ 论文未找到：{arxiv_id}", err=True)
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raise typer.Exit(code=1)
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else:
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typer.echo(f"⚠️ 总结结果：{result}", err=True)
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finally:
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db.close()
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@cli_app.command()
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def init_db():
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"""初始化数据库表。"""
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@@ -9,6 +9,7 @@ from fastapi.staticfiles import StaticFiles
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from app.config import settings
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from app.database import engine
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from app.models import init_db
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from app.routes.admin import router as admin_router
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from app.routes.pages import router as pages_router
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logging.basicConfig(
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@@ -41,6 +42,7 @@ def create_app() -> FastAPI:
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# 路由
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app.include_router(pages_router)
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app.include_router(admin_router)
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return app
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@@ -0,0 +1,48 @@
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"""管理接口 — AI 总结触发，需要 ADMIN_TOKEN 鉴权。"""
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from __future__ import annotations
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from fastapi import APIRouter, Depends, HTTPException
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from fastapi.security import HTTPAuthorizationCredentials, HTTPBearer
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from sqlalchemy.orm import Session
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from app.config import settings
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from app.database import get_db
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from app.services.summarizer import summarize_batch, summarize_single
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router = APIRouter(prefix="/admin", tags=["admin"])
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security = HTTPBearer()
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async def verify_admin(
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credentials: HTTPAuthorizationCredentials = Depends(security),
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) -> str:
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"""验证 ADMIN_TOKEN。"""
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if credentials.credentials != settings.ADMIN_TOKEN:
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raise HTTPException(status_code=401, detail="Invalid admin token")
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return credentials.credentials
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@router.post("/summarize")
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async def admin_summarize_batch(
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_admin: str = Depends(verify_admin),
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db: Session = Depends(get_db),
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):
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"""批量总结所有 pending 论文。"""
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result = await summarize_batch(db)
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if result.get("status") == "conflict":
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raise HTTPException(status_code=409, detail=result.get("error", "batch already running"))
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return result
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@router.post("/summarize/{arxiv_id}")
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async def admin_summarize_single(
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arxiv_id: str,
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_admin: str = Depends(verify_admin),
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db: Session = Depends(get_db),
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):
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"""总结或重跑单篇论文。"""
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result = await summarize_single(db, arxiv_id, force=True)
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if result.get("status") == "not_found":
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raise HTTPException(status_code=404, detail=f"Paper not found: {arxiv_id}")
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return result
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@@ -0,0 +1,168 @@
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"""AI 总结 schema — Pydantic 校验模型、质量评估、DB 展平。"""
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from __future__ import annotations
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import json
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from datetime import datetime, timezone
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from pydantic import BaseModel, Field, ValidationError, field_validator
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# ── 子模型 ──────────────────────────────────────────────────────────────
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class PrerequisitesSchema(BaseModel):
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concepts: list[str] = Field(default_factory=list)
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level: str = ""
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class MotivationSchema(BaseModel):
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problem: str
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goal: str = ""
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gap: str = ""
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@field_validator("problem")
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@classmethod
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def non_empty_problem(cls, v: str) -> str:
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if not v or not v.strip():
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raise ValueError("motivation.problem cannot be empty")
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return v.strip()
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class MethodSchema(BaseModel):
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overview: str = ""
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key_idea: str
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steps: list[str] = Field(default_factory=list)
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novelty: str = ""
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@field_validator("key_idea")
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@classmethod
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def non_empty_key_idea(cls, v: str) -> str:
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if not v or not v.strip():
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raise ValueError("method.key_idea cannot be empty")
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return v.strip()
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class ResultsSchema(BaseModel):
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main_findings: list[str] = Field(default_factory=list)
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benchmarks: list[dict] = Field(default_factory=list)
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limitations: list[str] = Field(default_factory=list)
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class ImprovementsSchema(BaseModel):
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weaknesses: list[str] = Field(default_factory=list)
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future_work: list[str] = Field(default_factory=list)
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reproducibility: str = ""
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# ── 顶层 schema ─────────────────────────────────────────────────────────
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class SummarySchema(BaseModel):
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model_config = {"extra": "ignore"}
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title_zh: str
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one_line: str
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tags: list[str]
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difficulty: str = ""
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paper_date: str | None = None
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prerequisites: PrerequisitesSchema = Field(default_factory=PrerequisitesSchema)
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motivation: MotivationSchema
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method: MethodSchema
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results: ResultsSchema = Field(default_factory=ResultsSchema)
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improvements: ImprovementsSchema = Field(default_factory=ImprovementsSchema)
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@field_validator("title_zh", "one_line")
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@classmethod
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def non_empty_text(cls, v: str) -> str:
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if not v or not v.strip():
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raise ValueError("field cannot be empty")
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return v.strip()
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@field_validator("tags")
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@classmethod
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def non_empty_tags(cls, v: list[str]) -> list[str]:
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tags = [tag.strip() for tag in v if tag and tag.strip()]
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if not tags:
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raise ValueError("tags cannot be empty")
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return tags
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# ── 质量评估 ────────────────────────────────────────────────────────────
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# 必填字段：title_zh, one_line, tags, motivation.problem, method.key_idea
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# — 缺失时 Pydantic 校验就会报错，不会走到 assess_quality
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# 重要字段：motivation.goal, motivation.gap, method.overview, results.main_findings
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# — 缺失可入库，标记 degraded
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_OPTIONAL_BUT_IMPORTANT_FIELDS = [
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"motivation.goal",
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"motivation.gap",
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"method.overview",
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"results.main_findings",
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]
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def assess_quality(schema: SummarySchema) -> str:
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"""评估总结质量：normal / degraded / low。"""
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# low：内容空洞的启发式判断
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if len(schema.one_line.strip()) < 10 or len(schema.method.key_idea.strip()) < 10:
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return "low"
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# 检查重要字段是否缺失
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missing_important = 0
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if not schema.motivation.goal.strip():
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missing_important += 1
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if not schema.motivation.gap.strip():
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missing_important += 1
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if not schema.method.overview.strip():
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missing_important += 1
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if not schema.results.main_findings:
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missing_important += 1
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if missing_important == 0:
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return "normal"
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return "degraded"
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# ── DB 展平 ─────────────────────────────────────────────────────────────
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def flatten_for_db(schema: SummarySchema) -> dict:
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"""将 SummarySchema 展平为 paper_summaries 表的列值 dict。"""
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return {
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"one_line": schema.one_line,
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"difficulty": schema.difficulty,
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"prerequisites_json": json.dumps(schema.prerequisites.model_dump(), ensure_ascii=False),
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"motivation_problem": schema.motivation.problem,
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"motivation_goal": schema.motivation.goal,
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"motivation_gap": schema.motivation.gap,
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"method_overview": schema.method.overview,
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"method_key_idea": schema.method.key_idea,
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"method_steps_json": json.dumps(schema.method.steps, ensure_ascii=False),
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"method_novelty": schema.method.novelty,
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"results_main_json": json.dumps(schema.results.main_findings, ensure_ascii=False),
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"results_benchmarks_json": json.dumps(schema.results.benchmarks, ensure_ascii=False),
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"limitations_json": json.dumps(schema.results.limitations, ensure_ascii=False),
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"weaknesses_json": json.dumps(schema.improvements.weaknesses, ensure_ascii=False),
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"future_work_json": json.dumps(schema.improvements.future_work, ensure_ascii=False),
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"reproducibility": schema.improvements.reproducibility,
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"full_json": schema.model_dump_json(ensure_ascii=False),
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"updated_at": datetime.now(timezone.utc),
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}
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# ── 错误分类 ────────────────────────────────────────────────────────────
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_REQUIRED_FIELDS = {"title_zh", "one_line", "tags", "problem", "key_idea"}
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def classify_validation_error(exc: ValidationError) -> str:
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"""区分 field_missing（必填缺失）和 schema_error（类型不合法等）。"""
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for err in exc.errors():
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field_name = err["loc"][-1] if err["loc"] else ""
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if field_name in _REQUIRED_FIELDS and err["type"] in (
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"missing",
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"value_error",
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):
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return "field_missing"
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return "schema_error"
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@@ -0,0 +1,682 @@
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"""AI 总结服务 — 调用 pi CLI 生成论文中文结构化总结。"""
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from __future__ import annotations
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import asyncio
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import json
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import logging
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import re
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import shutil
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from datetime import datetime, timezone
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from pathlib import Path
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import httpx
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from pydantic import ValidationError
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from sqlalchemy import select, text
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from sqlalchemy.orm import Session, joinedload
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from app.config import settings
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from app.database import SessionLocal
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from app.models import (
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CrawlLog,
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Paper,
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PaperSummary,
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PaperTag,
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SummaryStatus,
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TaskLock,
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)
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from app.services.schemas import (
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SummarySchema,
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assess_quality,
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classify_validation_error,
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flatten_for_db,
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)
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logger = logging.getLogger(__name__)
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# ── 自定义异常 ──────────────────────────────────────────────────────────
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class PdfDownloadError(Exception):
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pass
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class PiTimeoutError(Exception):
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pass
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class PiProcessError(Exception):
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def __init__(self, returncode: int, stderr: str):
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self.returncode = returncode
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self.stderr = stderr
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super().__init__(f"pi exited with code {returncode}: {stderr[:500]}")
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class JsonNotFoundError(Exception):
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pass
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# ── 路径工具 ────────────────────────────────────────────────────────────
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_DATA_DIR = Path("data")
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_PAPERS_DIR = _DATA_DIR / "papers"
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_TMP_DIR = _DATA_DIR / "tmp"
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def _paper_dir(arxiv_id: str) -> Path:
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return _PAPERS_DIR / arxiv_id
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def _tmp_dir(arxiv_id: str) -> Path:
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return _TMP_DIR / arxiv_id
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# ── PDF 下载 ────────────────────────────────────────────────────────────
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async def _download_pdf(arxiv_id: str, pdf_url: str) -> Path:
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"""下载 PDF 到 data/tmp/{arxiv_id}/paper.pdf。"""
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if not pdf_url:
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raise PdfDownloadError(f"no pdf_url for {arxiv_id}")
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tmp = _tmp_dir(arxiv_id)
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tmp.mkdir(parents=True, exist_ok=True)
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dest = tmp / "paper.pdf"
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transport = None
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if settings.http_proxy:
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transport = httpx.AsyncHTTPTransport(proxy=settings.http_proxy)
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try:
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async with httpx.AsyncClient(
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timeout=settings.HTTP_TIMEOUT_SECONDS,
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headers={"User-Agent": settings.HTTP_USER_AGENT},
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transport=transport,
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follow_redirects=True,
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) as client:
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resp = await client.get(pdf_url)
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resp.raise_for_status()
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dest.write_bytes(resp.content)
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except Exception as exc:
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raise PdfDownloadError(f"failed to download PDF for {arxiv_id}: {exc}") from exc
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logger.info("Downloaded PDF: %s (%d bytes)", arxiv_id, dest.stat().st_size)
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return dest
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# ── meta.json ───────────────────────────────────────────────────────────
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def _write_meta_json(paper: Paper) -> Path:
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"""写入 data/papers/{arxiv_id}/meta.json，返回路径。"""
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d = _paper_dir(paper.arxiv_id)
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d.mkdir(parents=True, exist_ok=True)
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meta_path = d / "meta.json"
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authors = [a.name for a in paper.authors]
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tags = [t.tag for t in paper.tags]
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meta = {
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"arxiv_id": paper.arxiv_id,
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"title_en": paper.title_en,
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"abstract": paper.abstract or "",
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"published_at": paper.published_at.isoformat() if paper.published_at else None,
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"authors": authors,
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"tags": tags,
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"upvotes": paper.upvotes,
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}
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meta_path.write_text(json.dumps(meta, ensure_ascii=False, indent=2), encoding="utf-8")
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return meta_path
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# ── pi CLI 调用 ────────────────────────────────────────────────────────
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|
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async def _call_pi(meta_path: Path, pdf_path: Path) -> str:
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"""调用 pi CLI 非交互模式，返回 stdout 文本。"""
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cmd = [
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settings.PI_BIN,
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"-p",
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"--no-tools",
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"--skill",
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settings.SUMMARY_SKILL,
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"请深度解读以下论文，并按指定 JSON schema 输出：",
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f"@{meta_path}",
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f"@{pdf_path}",
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]
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logger.info("Calling pi: %s %s", paper_id_from_path(meta_path), " ".join(cmd[:4]))
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proc = await asyncio.create_subprocess_exec(
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*cmd,
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stdout=asyncio.subprocess.PIPE,
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stderr=asyncio.subprocess.PIPE,
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)
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try:
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stdout, stderr = await asyncio.wait_for(
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proc.communicate(),
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timeout=settings.SUMMARY_TIMEOUT_SECONDS,
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)
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except asyncio.TimeoutError:
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proc.kill()
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await proc.wait()
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raise PiTimeoutError(
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f"pi timed out after {settings.SUMMARY_TIMEOUT_SECONDS}s"
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)
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if proc.returncode != 0:
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raise PiProcessError(proc.returncode, stderr.decode("utf-8", errors="replace"))
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return stdout.decode("utf-8", errors="replace")
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def paper_id_from_path(meta_path: Path) -> str:
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"""从 meta.json 路径反推 arxiv_id。"""
|
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return meta_path.parent.name
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|
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# ── JSON 提取 ──────────────────────────────────────────────────────────
|
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|
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|
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def _extract_json(raw_output: str) -> dict:
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"""从 pi 输出中提取 JSON dict。三步策略：直接解析 → 代码块 → 最大花括号块。"""
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# 策略 1：整体直接解析
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stripped = raw_output.strip()
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try:
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result = json.loads(stripped)
|
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if isinstance(result, dict) and "title_zh" in result:
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return result
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except json.JSONDecodeError:
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pass
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|
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# 策略 2：提取 ```json ... ``` 代码块
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fence_pattern = re.compile(r"```(?:json)?\s*\n(.*?)```", re.DOTALL)
|
||||
for match in fence_pattern.finditer(raw_output):
|
||||
try:
|
||||
result = json.loads(match.group(1).strip())
|
||||
if isinstance(result, dict) and "title_zh" in result:
|
||||
return result
|
||||
except json.JSONDecodeError:
|
||||
continue
|
||||
|
||||
# 策略 3：匹配包含 title_zh 的最大 {...} 块
|
||||
brace_pattern = re.compile(r"\{[^{}]*\"title_zh\"[^{}]*\}", re.DOTALL)
|
||||
# 先尝试一层嵌套；如果没命中再用更宽松的策略
|
||||
for match in brace_pattern.finditer(raw_output):
|
||||
try:
|
||||
return json.loads(match.group(0))
|
||||
except json.JSONDecodeError:
|
||||
continue
|
||||
|
||||
# 更宽松：找到最大的 { ... } 平衡块
|
||||
best = None
|
||||
best_len = 0
|
||||
for i, ch in enumerate(raw_output):
|
||||
if ch != "{":
|
||||
continue
|
||||
depth = 0
|
||||
for j in range(i, len(raw_output)):
|
||||
if raw_output[j] == "{":
|
||||
depth += 1
|
||||
elif raw_output[j] == "}":
|
||||
depth -= 1
|
||||
if depth == 0:
|
||||
candidate = raw_output[i : j + 1]
|
||||
if len(candidate) > best_len:
|
||||
try:
|
||||
parsed = json.loads(candidate)
|
||||
if isinstance(parsed, dict):
|
||||
best = parsed
|
||||
best_len = len(candidate)
|
||||
except json.JSONDecodeError:
|
||||
pass
|
||||
break
|
||||
|
||||
if best is not None:
|
||||
return best
|
||||
|
||||
raise JsonNotFoundError("no JSON object found in pi output")
|
||||
|
||||
|
||||
# ── 错误分类 ────────────────────────────────────────────────────────────
|
||||
|
||||
|
||||
def _classify_error(exc: Exception) -> str:
|
||||
"""将异常映射到 error_type 枚举值。"""
|
||||
if isinstance(exc, PdfDownloadError):
|
||||
return "pdf_download_failed"
|
||||
if isinstance(exc, PiTimeoutError):
|
||||
return "timeout"
|
||||
if isinstance(exc, PiProcessError):
|
||||
return "process_error"
|
||||
if isinstance(exc, JsonNotFoundError):
|
||||
return "json_not_found"
|
||||
if isinstance(exc, json.JSONDecodeError):
|
||||
return "json_invalid"
|
||||
if isinstance(exc, ValidationError):
|
||||
return classify_validation_error(exc)
|
||||
return "unknown"
|
||||
|
||||
|
||||
# ── FTS5 文本构建 ───────────────────────────────────────────────────────
|
||||
|
||||
|
||||
def _build_fts_summary_text(schema: SummarySchema) -> str:
|
||||
"""拼接用于 FTS5 索引的总结文本。"""
|
||||
parts = [
|
||||
schema.one_line or "",
|
||||
schema.motivation.problem or "",
|
||||
schema.motivation.goal or "",
|
||||
schema.method_overview if hasattr(schema, "method_overview") else "",
|
||||
schema.method.overview or "",
|
||||
schema.method.key_idea or "",
|
||||
" ".join(schema.results.main_findings or []),
|
||||
]
|
||||
return " ".join(p for p in parts if p)
|
||||
|
||||
|
||||
# ── DB 更新 ─────────────────────────────────────────────────────────────
|
||||
|
||||
|
||||
def _update_summary_in_db(
|
||||
db: Session,
|
||||
paper: Paper,
|
||||
schema: SummarySchema,
|
||||
quality: str,
|
||||
raw_output: str,
|
||||
) -> None:
|
||||
"""将校验后的总结写入 DB：paper_summaries + papers + paper_tags + FTS5。"""
|
||||
now = datetime.now(timezone.utc)
|
||||
|
||||
# 1. paper_summaries：upsert
|
||||
existing = db.get(PaperSummary, paper.id)
|
||||
flat = flatten_for_db(schema)
|
||||
if existing:
|
||||
for k, v in flat.items():
|
||||
setattr(existing, k, v)
|
||||
else:
|
||||
db.add(PaperSummary(paper_id=paper.id, **flat))
|
||||
|
||||
# 2. papers 表
|
||||
paper.title_zh = schema.title_zh
|
||||
paper.summary_quality = quality
|
||||
paper_dir = _paper_dir(paper.arxiv_id)
|
||||
paper.summary_path = str(paper_dir / "summary.json")
|
||||
paper.raw_output_path = str(paper_dir / "raw_output.txt")
|
||||
|
||||
# 3. AI 标签
|
||||
existing_tag_names = {t.tag for t in paper.tags}
|
||||
for tag_name in schema.tags:
|
||||
if tag_name not in existing_tag_names:
|
||||
db.add(PaperTag(paper_id=paper.id, tag=tag_name, source="ai"))
|
||||
existing_tag_names.add(tag_name)
|
||||
|
||||
# 4. FTS5 更新
|
||||
summary_text = _build_fts_summary_text(schema)
|
||||
db.execute(
|
||||
text(
|
||||
"UPDATE papers_fts SET title_zh=:title_zh, summary_text=:summary_text "
|
||||
"WHERE rowid=:paper_id"
|
||||
),
|
||||
{
|
||||
"title_zh": schema.title_zh,
|
||||
"summary_text": summary_text,
|
||||
"paper_id": paper.id,
|
||||
},
|
||||
)
|
||||
|
||||
db.commit()
|
||||
logger.info("DB updated: paper=%s quality=%s", paper.arxiv_id, quality)
|
||||
|
||||
|
||||
# ── 文件操作 ────────────────────────────────────────────────────────────
|
||||
|
||||
|
||||
def _save_files(arxiv_id: str, schema: SummarySchema, raw_output: str) -> None:
|
||||
"""保存 summary.json 和 raw_output.txt。"""
|
||||
d = _paper_dir(arxiv_id)
|
||||
d.mkdir(parents=True, exist_ok=True)
|
||||
(d / "summary.json").write_text(
|
||||
schema.model_dump_json(ensure_ascii=False, indent=2),
|
||||
encoding="utf-8",
|
||||
)
|
||||
(d / "raw_output.txt").write_text(raw_output, encoding="utf-8")
|
||||
|
||||
|
||||
def _save_raw_output_only(arxiv_id: str, raw_output: str) -> None:
|
||||
"""仅保存 raw_output.txt（失败时）。"""
|
||||
d = _paper_dir(arxiv_id)
|
||||
d.mkdir(parents=True, exist_ok=True)
|
||||
(d / "raw_output.txt").write_text(raw_output, encoding="utf-8")
|
||||
|
||||
|
||||
def _cleanup_tmp(arxiv_id: str) -> None:
|
||||
"""清理 data/tmp/{arxiv_id}/ 目录。"""
|
||||
tmp = _tmp_dir(arxiv_id)
|
||||
if tmp.exists():
|
||||
try:
|
||||
shutil.rmtree(tmp)
|
||||
logger.debug("Cleaned tmp: %s", arxiv_id)
|
||||
except Exception:
|
||||
logger.warning("Failed to clean tmp for %s", arxiv_id, exc_info=True)
|
||||
|
||||
|
||||
# ── 单篇总结 ────────────────────────────────────────────────────────────
|
||||
|
||||
|
||||
async def summarize_one(
|
||||
db: Session,
|
||||
paper: Paper,
|
||||
semaphore: asyncio.Semaphore | None = None,
|
||||
*,
|
||||
force: bool = False,
|
||||
) -> dict:
|
||||
"""总结单篇论文的完整流程。"""
|
||||
arxiv_id = paper.arxiv_id
|
||||
|
||||
# 获取或创建 summary_status
|
||||
if not paper.summary_status:
|
||||
db.add(SummaryStatus(paper_id=paper.id, status="pending"))
|
||||
db.commit()
|
||||
db.refresh(paper)
|
||||
|
||||
status = paper.summary_status
|
||||
|
||||
# 跳过已完成的（除非 force）
|
||||
if status.status == "done" and not force:
|
||||
return {"arxiv_id": arxiv_id, "status": "skipped", "reason": "already_done"}
|
||||
|
||||
# 跳过 permanent_failure（除非 force）
|
||||
if status.status == "permanent_failure" and not force:
|
||||
return {"arxiv_id": arxiv_id, "status": "skipped", "reason": "permanent_failure"}
|
||||
|
||||
if semaphore:
|
||||
await semaphore.acquire()
|
||||
try:
|
||||
return await _do_summarize_one(db, paper)
|
||||
finally:
|
||||
if semaphore:
|
||||
semaphore.release()
|
||||
|
||||
|
||||
async def _do_summarize_one(db: Session, paper: Paper) -> dict:
|
||||
"""实际的单篇总结执行（在 semaphore 保护下）。"""
|
||||
arxiv_id = paper.arxiv_id
|
||||
status = paper.summary_status
|
||||
now = datetime.now(timezone.utc)
|
||||
|
||||
# 状态 → processing
|
||||
status.status = "processing"
|
||||
status.started_at = now
|
||||
db.commit()
|
||||
|
||||
raw_output = ""
|
||||
try:
|
||||
# 写 meta.json
|
||||
meta_path = _write_meta_json(paper)
|
||||
|
||||
# 下载 PDF
|
||||
await _download_pdf(arxiv_id, paper.pdf_url)
|
||||
|
||||
# 调用 pi
|
||||
raw_output = await _call_pi(meta_path, _tmp_dir(arxiv_id) / "paper.pdf")
|
||||
|
||||
# 提取 JSON
|
||||
json_data = _extract_json(raw_output)
|
||||
|
||||
# Pydantic 校验
|
||||
schema = SummarySchema.model_validate(json_data)
|
||||
|
||||
# 质量评估
|
||||
quality = assess_quality(schema)
|
||||
|
||||
# 保存文件
|
||||
_save_files(arxiv_id, schema, raw_output)
|
||||
|
||||
# 更新 DB
|
||||
_update_summary_in_db(db, paper, schema, quality, raw_output)
|
||||
|
||||
# 状态 → done
|
||||
status.status = "done"
|
||||
status.quality = quality
|
||||
status.completed_at = datetime.now(timezone.utc)
|
||||
status.raw_output_saved = True
|
||||
db.commit()
|
||||
|
||||
logger.info("Summarize done: %s quality=%s", arxiv_id, quality)
|
||||
return {"arxiv_id": arxiv_id, "status": "done", "quality": quality}
|
||||
|
||||
except Exception as exc:
|
||||
error_type = _classify_error(exc)
|
||||
logger.error(
|
||||
"Summarize failed: %s error_type=%s %s",
|
||||
arxiv_id,
|
||||
error_type,
|
||||
str(exc)[:200],
|
||||
)
|
||||
|
||||
# 保存 raw_output（如果有）
|
||||
if raw_output:
|
||||
_save_raw_output_only(arxiv_id, raw_output)
|
||||
status.raw_output_saved = True
|
||||
|
||||
# 重试逻辑
|
||||
status.retry_count = (status.retry_count or 0) + 1
|
||||
status.error_type = error_type
|
||||
status.error = str(exc)[:2000]
|
||||
|
||||
if status.retry_count >= settings.SUMMARY_MAX_RETRIES + 1:
|
||||
status.status = "permanent_failure"
|
||||
else:
|
||||
status.status = "pending"
|
||||
|
||||
status.completed_at = datetime.now(timezone.utc)
|
||||
db.commit()
|
||||
|
||||
return {
|
||||
"arxiv_id": arxiv_id,
|
||||
"status": "failed",
|
||||
"error_type": error_type,
|
||||
"error": str(exc)[:200],
|
||||
"retry_count": status.retry_count,
|
||||
}
|
||||
|
||||
finally:
|
||||
_cleanup_tmp(arxiv_id)
|
||||
|
||||
|
||||
# ── 单篇入口 ────────────────────────────────────────────────────────────
|
||||
|
||||
|
||||
async def summarize_single(
|
||||
db: Session,
|
||||
arxiv_id: str,
|
||||
*,
|
||||
force: bool = True,
|
||||
_session_factory=None,
|
||||
) -> dict:
|
||||
"""单篇总结入口（供 admin 路由和 CLI 调用）。
|
||||
|
||||
_session_factory: 可选的 session 工厂，测试时注入内存 DB 的 session。
|
||||
"""
|
||||
paper = (
|
||||
db.query(Paper)
|
||||
.filter(Paper.arxiv_id == arxiv_id)
|
||||
.options(
|
||||
joinedload(Paper.authors),
|
||||
joinedload(Paper.tags),
|
||||
joinedload(Paper.summary_status),
|
||||
)
|
||||
.first()
|
||||
)
|
||||
if not paper:
|
||||
return {"status": "not_found", "arxiv_id": arxiv_id}
|
||||
|
||||
make_session = _session_factory or SessionLocal
|
||||
|
||||
# 每篇用独立 session 避免并发问题
|
||||
paper_db = make_session()
|
||||
try:
|
||||
paper_in_new_session = (
|
||||
paper_db.query(Paper)
|
||||
.filter(Paper.arxiv_id == arxiv_id)
|
||||
.options(
|
||||
joinedload(Paper.authors),
|
||||
joinedload(Paper.tags),
|
||||
joinedload(Paper.summary_status),
|
||||
)
|
||||
.first()
|
||||
)
|
||||
result = await summarize_one(paper_db, paper_in_new_session, force=force)
|
||||
finally:
|
||||
paper_db.close()
|
||||
|
||||
return result
|
||||
|
||||
|
||||
# ── 批量总结 ────────────────────────────────────────────────────────────
|
||||
|
||||
|
||||
async def summarize_batch(
|
||||
db: Session,
|
||||
arxiv_ids: list[str] | None = None,
|
||||
*,
|
||||
_session_factory=None,
|
||||
) -> dict:
|
||||
"""批量总结入口。arxiv_ids=None 时处理所有 pending 论文。
|
||||
|
||||
_session_factory: 可选的 session 工厂，测试时注入内存 DB 的 session。
|
||||
"""
|
||||
now = datetime.now(timezone.utc)
|
||||
|
||||
# TaskLock 防重入
|
||||
lock = TaskLock(
|
||||
task="summarize",
|
||||
lock_key="batch",
|
||||
status="running",
|
||||
owner="summarize_batch",
|
||||
acquired_at=now,
|
||||
)
|
||||
try:
|
||||
db.add(lock)
|
||||
db.commit()
|
||||
except Exception:
|
||||
db.rollback()
|
||||
logger.warning("Summarize batch already running (lock conflict)")
|
||||
return {"status": "conflict", "error": "summarize batch already running"}
|
||||
|
||||
# CrawlLog
|
||||
log_entry = CrawlLog(
|
||||
task="summarize",
|
||||
status="running",
|
||||
started_at=now,
|
||||
)
|
||||
db.add(log_entry)
|
||||
db.commit()
|
||||
|
||||
try:
|
||||
# 查询待总结论文
|
||||
query = db.query(Paper).options(
|
||||
joinedload(Paper.authors),
|
||||
joinedload(Paper.tags),
|
||||
joinedload(Paper.summary_status),
|
||||
)
|
||||
if arxiv_ids:
|
||||
query = query.filter(Paper.arxiv_id.in_(arxiv_ids))
|
||||
else:
|
||||
# 只处理 pending 或 failed（可重试的）
|
||||
query = query.join(SummaryStatus).filter(
|
||||
SummaryStatus.status.in_(["pending", "failed"])
|
||||
)
|
||||
|
||||
papers = query.all()
|
||||
total = len(papers)
|
||||
logger.info("Summarize batch: %d papers to process", total)
|
||||
|
||||
if total == 0:
|
||||
log_entry.status = "success"
|
||||
log_entry.papers_found = 0
|
||||
log_entry.papers_new = 0
|
||||
log_entry.completed_at = datetime.now(timezone.utc)
|
||||
_release_lock(db, lock)
|
||||
return {"status": "success", "done": 0, "failed": 0, "skipped": 0, "total": 0}
|
||||
|
||||
# 并发控制
|
||||
semaphore = asyncio.Semaphore(settings.SUMMARY_CONCURRENCY)
|
||||
make_session = _session_factory or SessionLocal
|
||||
|
||||
async def _process_paper(paper: Paper) -> dict:
|
||||
paper_db = make_session()
|
||||
try:
|
||||
p = (
|
||||
paper_db.query(Paper)
|
||||
.filter(Paper.id == paper.id)
|
||||
.options(
|
||||
joinedload(Paper.authors),
|
||||
joinedload(Paper.tags),
|
||||
joinedload(Paper.summary_status),
|
||||
)
|
||||
.first()
|
||||
)
|
||||
return await summarize_one(paper_db, p, semaphore)
|
||||
finally:
|
||||
paper_db.close()
|
||||
|
||||
results = await asyncio.gather(
|
||||
*[_process_paper(p) for p in papers],
|
||||
return_exceptions=True,
|
||||
)
|
||||
|
||||
# 统计结果
|
||||
done = 0
|
||||
failed = 0
|
||||
skipped = 0
|
||||
for r in results:
|
||||
if isinstance(r, Exception):
|
||||
logger.error("Unexpected error in batch: %s", r)
|
||||
failed += 1
|
||||
elif isinstance(r, dict):
|
||||
if r.get("status") == "done":
|
||||
done += 1
|
||||
elif r.get("status") == "skipped":
|
||||
skipped += 1
|
||||
else:
|
||||
failed += 1
|
||||
|
||||
log_entry.status = "success" if failed == 0 else "failed"
|
||||
log_entry.papers_found = total
|
||||
log_entry.papers_new = done
|
||||
log_entry.completed_at = datetime.now(timezone.utc)
|
||||
db.commit()
|
||||
|
||||
logger.info(
|
||||
"Summarize batch done: total=%d done=%d failed=%d skipped=%d",
|
||||
total, done, failed, skipped,
|
||||
)
|
||||
return {
|
||||
"status": "success" if failed == 0 else "partial",
|
||||
"total": total,
|
||||
"done": done,
|
||||
"failed": failed,
|
||||
"skipped": skipped,
|
||||
}
|
||||
|
||||
except Exception as exc:
|
||||
logger.exception("Summarize batch failed")
|
||||
log_entry.status = "failed"
|
||||
log_entry.error = str(exc)[:2000]
|
||||
log_entry.completed_at = datetime.now(timezone.utc)
|
||||
db.commit()
|
||||
return {"status": "failed", "error": str(exc)}
|
||||
|
||||
finally:
|
||||
_release_lock(db, lock)
|
||||
|
||||
|
||||
def _release_lock(db: Session, lock: TaskLock) -> None:
|
||||
"""释放 TaskLock。"""
|
||||
try:
|
||||
lock.status = "finished"
|
||||
lock.released_at = datetime.now(timezone.utc)
|
||||
db.commit()
|
||||
except Exception:
|
||||
db.rollback()
|
||||
logger.warning("Failed to release summarize lock", exc_info=True)
|
||||
Reference in New Issue
Block a user