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PlantAI-rag-new 首次提交：文献知识工作台

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- BFF 薄适配层（FastAPI，8090）：QA 代理/SSE 中继/Neo4j 直连/抽取代理/会话持久化
- Vue3 前端：五相位检索流水线、文献来源与证据链、知识图谱、提取任务四 tab
- 四档响应式（桌面/笔记本/平板/手机）、深浅主题
- 81 个 FR 全部实现，测试追溯矩阵 81/81，后端 121 测/前端 156 测
- 真实凭据已脱敏，运行时配置在 backend/.env（不入 git）

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
This commit is contained in:
jerry
2026-08-25 20:47:52 +08:00
co-authored by Claude Fable 5
commit 1e94de7464
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.claude/launch.json
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{
"version": "0.0.1",
"configurations": [
{
"name": "plantai-rag-new",
"url": "http://localhost:5180",
"runtimeExecutable": "true",
"runtimeArgs": [],
"port": 5180
}
]
}
.gitignore
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# 运行时产物与环境
node_modules
dist/
.venv/
.venv-backend/
.env
backend/data/
__pycache__/
*.pyc
.pytest_cache/
artifacts/
test-results/
playwright-report/
coverage/
**/data/
README.md
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# PlantAI-rag-new —— 植物基因家族文献知识工作台
海古纪 PlantAI 的知识问答工作台：基于文献知识库（100 篇论文 / 44,595 条关系断言 / 382 万实体）的
基因家族问答系统。采用 `plantai-agent-ui-prototype` 的视觉设计（深色默认、青紫渐变、Agent 五相位时间线），
支持桌面 / 平板 / 手机四档响应式。
**架构**：薄适配层（BFF）+ 全新前端，不重写 RAG 算法。上游为现有运行中的服务，本项目只读消费。
```
浏览器 ──> BFF (FastAPI, 127.0.0.1:8090) ──> QA 7920（问答引擎）
│ ├─> RAG 8000/7900（论文抽取）
│ └─> Neo4j 18788（知识图谱，Bolt 直连）
└─> SQLite（会话历史，WAL）
```
## 目录
```
backend/ BFF（app/ 应用代码，mock/ 前端开发用 mock server）
frontend/ Vue 3 + Vite 前端（src/ 源码）
docs/ 全部文档：PRD / API / UI_SPEC / ARCHITECTURE / TEST_PLAN / TEST_CASES / DISCOVERY / 测试报告
deploy/ 部署脚本：sync.sh（本地→远端）、bff_restart.sh、start-dev.sh、集成检查、E2E 验收
tests/ 测试（backend 接口、frontend 单元、e2e）
```
## 快速启动（远端）
```bash
# 1. 启动 BFF（自动激活 conda plantai-bff）
ssh 100.109.52.26 'bash ~/5090/teamWorkspace/zh/PlantAI-rag-new/deploy/bff_restart.sh'
# 2. 启动 Vite 开发服务器（开发模式）
ssh 100.109.52.26 'cd ~/5090/teamWorkspace/zh/PlantAI-rag-new/frontend && \
VITE_BFF_TARGET=http://127.0.0.1:8090 setsid nohup npm run dev > /tmp/plantai-vite.log 2>&1 < /dev/null & disown'
# 3. Mac 侧访问隧道
ssh -N -L 5180:127.0.0.1:5180 -L 8090:127.0.0.1:8090 100.109.52.26
# 浏览器打开 http://localhost:5180
```
生产形态：`npm run build` 产出 `frontend/dist`，BFF 启动时自动静态托管，单进程从 `:8090` 直接服务。
## 开发工作流
- **本地编辑** `/Users/jerry/haiguji/PlantAI-rag-new/`，**远端运行** `/home/xzq/5090/teamWorkspace/zh/PlantAI-rag-new/`
- 同步（PM 执行）：`bash deploy/sync.sh`（rsync，排除 node_modules/venv/data/dist）
- 前端开发期 API 指向 mock（8099，`scenario=normal|empty|slow|error|degraded` 经 `X-Mock-Scenario` 头切换）；
集成期 `VITE_BFF_TARGET=http://127.0.0.1:8090` 指向真实 BFF
- 契约文档（docs/）是开发与测试的唯一依据，变更需 PM 裁决
## 测试
```bash
# 后端（conda plantai-bff 或本地 .venv-backend）
cd backend && python -m pytest . -q # 单元 + 接口
# 前端
cd frontend && npx vitest run --config vitest.config.js # 单元 + 组件
cd frontend && npx playwright test # E2E 三档视口（mobile/tablet/desktop）
# 上游连通冒烟
bash tests/smoke_upstreams.sh
```
## 上游与端口
| 服务 | 端口 | 说明 |
|---|---|---|
| QA V1.1.73（问答引擎） | 7920 | 只读消费；LLM 依赖 DeepSeek 余额 |
| Gene Family RAG System（抽取） | 8000 | 回落 7900 |
| Neo4j（知识图谱） | 18788 | canonical schema，Bolt 直连 |
## 已知限制
- 上游 QA 无 token 级流式（答案在终态一次返回），打字机为客户端揭示动画
- 每次提问独立检索（`max_rounds:1`），无多轮上下文
- DeepSeek 余额用尽时答案退化为证据列表（检索/图谱/来源不受影响）
详细设计见 `docs/`：PRD.md（81 个功能点）、API.md（BFF 契约）、UI_SPEC.md（设计令牌）、
ARCHITECTURE.md（分工与协作约定）、DISCOVERY.md（上游探测事实）、TEST_PLAN.md（测试纪律）。
backend/.env.example
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# backend/.env.example —— BFF 全部配置键（pydantic-settings，键名大小写不敏感）
# 复制为 .env 后按需修改。以下默认值即 config.py 的默认值，本地开发可不改。
# ---- 应用 ----
# APP_NAME=plantai-rag-new-bff
# VERSION=0.1.0
# ---- 上游地址（只读消费）----
QA_BASE_URL=http://127.0.0.1:7920
QA_API_PATH=/api/v1/qa-v1-1-73
RAG_BASE_URL=http://127.0.0.1:8000
RAG_ALT_BASE_URL=http://127.0.0.1:7900
# ---- Neo4j 候选（顺序即回退顺序：18788 首选 → 19788 → 17687；凭据见 DISCOVERY.md §2）
# 注意：凭据只进 BFF 配置，绝不下发到浏览器。
NEO4J_BOLT_URIS=bolt://127.0.0.1:18788,bolt://127.0.0.1:19788,bolt://127.0.0.1:17687
NEO4J_USER=neo4j
NEO4J_PASSWORDS=<in backend/.env, 不入 git>
# ---- 超时阶梯（秒）----
TIMEOUT_HEALTH=1
TIMEOUT_QA_CHAT=300
TIMEOUT_QA_SEARCH=180
TIMEOUT_UPLOAD=600
TIMEOUT_EXTRACTION=15
# ---- 本地 ----
DB_PATH=backend/data/plantai.db
HEALTH_CACHE_TTL=5
# ---- 生产形态：BFF 静态托管 frontend/dist（M6 启用）----
FRONTEND_DIST_DIR=frontend/dist
backend/.gitignore
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# backend/.gitignore（最小版，各 agent 勿改，如需调整向 PM 提出）
__pycache__/
*.pyc
.pytest_cache/
.env
data/
backend/app/__init__.py
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backend/app/config.py
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"""config.py —— 环境变量驱动的 BFF 配置（pydantic-settings）。
全部键见 backend/.env.example。凭据类键（Neo4j）只存在于本进程，
**绝不下发到浏览器**（不进入任何 API 响应）。
上游拓扑与默认值依据 docs/DISCOVERY.md：
- QA 7920：`/api/v1/qa-v1-1-73`（DISCOVERY §4）
- RAG 8000（Methodology API，DISCOVERY §3）/ ragAlt 7900（protected 容器，§3.7）
- Neo4j 候选顺序：18788（direct，首选）→ 19788（normalized）→ 17687（protected，空库）
凭据见 DISCOVERY §2.1，可由 BFF_NEO4J_* 环境变量覆盖（测试/部署）。
"""
from __future__ import annotations
from functools import lru_cache
from pydantic_settings import BaseSettings, SettingsConfigDict
class Settings(BaseSettings):
model_config = SettingsConfigDict(
env_file=".env",
env_file_encoding="utf-8",
extra="ignore",
)
# ---- 应用 ----
app_name: str = "plantai-rag-new-bff"
version: str = "0.1.0"
# ---- 上游地址（只读消费，见 ARCHITECTURE.md §2）----
qa_base_url: str = "http://127.0.0.1:7920"
qa_api_path: str = "/api/v1/qa-v1-1-73"
rag_base_url: str = "http://127.0.0.1:8000"
rag_alt_base_url: str = "http://127.0.0.1:7900"
# ---- Neo4j 候选（顺序即回退顺序，首选 18788；凭据见 DISCOVERY §2.1）----
neo4j_bolt_uris: str = (
"bolt://127.0.0.1:18788,bolt://127.0.0.1:19788,bolt://127.0.0.1:17687"
)
neo4j_user: str = "neo4j"
neo4j_passwords: str = (
"" # 真实凭据在 backend/.env（不入 git），见 backend/.env.example
)
# ---- 超时阶梯（秒）----
timeout_health: float = 1.0 # 健康探测
timeout_qa_chat: float = 300.0 # qa chat（读超时）
timeout_qa_search: float = 180.0 # qa search（读超时）
timeout_upload: float = 600.0 # 抽取 upload（读超时）
timeout_extraction: float = 15.0 # 抽取其余接口
# ---- 本地 ----
db_path: str = "backend/data/plantai.db"
health_cache_ttl: float = 5.0
# ---- 生产形态：BFF 静态托管 frontend/dist（ARCHITECTURE.md §3，M6 挂载）----
frontend_dist_dir: str = "frontend/dist"
@lru_cache(maxsize=1)
def get_settings() -> Settings:
return Settings()
settings = get_settings()
backend/app/db.py
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"""db.py —— SQLite 持久层（aiosqlite + WAL，无 ORM）。
Schema 与 API.md §5 对齐：
- sessions: id / title / status / meta / created_at / updated_at
- messages: id / session_id(FK CASCADE) / role / kind / status / blocks(JSON)
/ raw(JSON) / text / created_at / updated_at
启动时幂等迁移（CREATE TABLE IF NOT EXISTS）。时间一律 ISO 8601 UTC
（`2026-08-25T12:34:56Z`），由 BFF 侧统一生成（SQLite 不写 DEFAULT 时间戳）。
"""
from __future__ import annotations
import asyncio
import json
import time
from collections.abc import AsyncIterator, Iterable
from datetime import datetime, timezone
from pathlib import Path
from typing import Any
import aiosqlite
from .config import get_settings
_SCHEMA = """
CREATE TABLE IF NOT EXISTS sessions (
id TEXT PRIMARY KEY,
title TEXT NOT NULL DEFAULT '新会话',
status TEXT NOT NULL DEFAULT 'idle',
meta TEXT NOT NULL DEFAULT '{}',
created_at TEXT NOT NULL,
updated_at TEXT NOT NULL
);
CREATE TABLE IF NOT EXISTS messages (
id TEXT PRIMARY KEY,
session_id TEXT NOT NULL REFERENCES sessions(id) ON DELETE CASCADE,
role TEXT NOT NULL,
kind TEXT NOT NULL DEFAULT 'qa',
status TEXT NOT NULL DEFAULT 'done',
blocks TEXT NOT NULL DEFAULT '[]',
raw TEXT,
text TEXT,
created_at TEXT NOT NULL,
updated_at TEXT NOT NULL
);
CREATE INDEX IF NOT EXISTS idx_messages_session ON messages(session_id);
CREATE INDEX IF NOT EXISTS idx_sessions_updated ON sessions(updated_at);
"""
def _now_iso() -> str:
return datetime.now(timezone.utc).strftime("%Y-%m-%dT%H:%M:%SZ")
def _db_path() -> Path:
path = Path(get_settings().db_path)
path.parent.mkdir(parents=True, exist_ok=True)
return path
class Database:
"""aiosqlite 单连接封装。
SQLite 写并发不高，BFF 用单写连接（WAL 模式下读写不互斥）；
依赖注入经 get_db() 提供本实例。
"""
def __init__(self, path: str | Path | None = None) -> None:
self._path: Path | None = Path(path) if path is not None else None
self._conn: aiosqlite.Connection | None = None
self._lock = asyncio.Lock()
@property
def path(self) -> Path:
if self._path is None:
self._path = _db_path()
return self._path
async def connect(self) -> None:
self.path.parent.mkdir(parents=True, exist_ok=True)
self._conn = await aiosqlite.connect(self.path)
self._conn.row_factory = aiosqlite.Row
await self._conn.execute("PRAGMA journal_mode=WAL")
await self._conn.execute("PRAGMA foreign_keys=ON")
await self._conn.execute("PRAGMA busy_timeout=5000")
await self._conn.executescript(_SCHEMA)
await self._conn.commit()
async def close(self) -> None:
if self._conn is not None:
await self._conn.close()
self._conn = None
@property
def conn(self) -> aiosqlite.Connection:
if self._conn is None:
raise RuntimeError("Database 未初始化：先 await init_db()")
return self._conn
# ---- 通用查询（只读）----
async def fetchall(self, sql: str, params: Iterable[Any] = ()) -> list[aiosqlite.Row]:
async with self._conn.execute(sql, tuple(params)) as cursor:
return list(await cursor.fetchall())
async def fetchone(self, sql: str, params: Iterable[Any] = ()) -> aiosqlite.Row | None:
async with self._conn.execute(sql, tuple(params)) as cursor:
return await cursor.fetchone()
# ---- 写操作（串行化，提交后返回 lastrowid）----
async def execute(self, sql: str, params: Iterable[Any] = ()) -> int:
async with self._lock:
cur = await self._conn.execute(sql, tuple(params))
await self._conn.commit()
return cur.lastrowid
db = Database()
async def init_db(path: str | Path | None = None) -> Database:
"""app 启动钩子：创建并迁移数据库（幂等）。返回全局单例（或指定路径的实例）。"""
global db
if path is not None:
db = Database(path)
await db.connect()
return db
async def get_db() -> AsyncIterator[Database]:
"""FastAPI 依赖：每个请求交出同一数据库实例。"""
yield db
async def close_db() -> None:
"""app shutdown 钩子。"""
await db.close()
# ---- JSON 编解码（落库用；失败时按契约置 null/[] 而不吞请求）----
def dumps_json(value: Any, default: Any = None) -> str:
try:
return json.dumps(value, ensure_ascii=False)
except (TypeError, ValueError):
return json.dumps(default, ensure_ascii=False)
def loads_json(text: str | None, default: Any = None) -> Any:
if text is None:
return default
try:
return json.loads(text)
except (TypeError, ValueError):
return default
def monotonic() -> float:
"""测试/内部计时用（time.monotonic 别名，避免各处直接 import time）。"""
return time.monotonic()
backend/app/main.py
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"""main.py —— BFF 应用入口（ARCHITECTURE.md §2/§3）。
- 挂全部 5 个 router（qa/kg/extraction 为 A2/A3 实现，import 路径不变）。
- CORS：允许 http://localhost:5180 与 http://127.0.0.1:5180（Vite dev）。
- lifespan：init_db（幂等迁移）；关闭回收 httpx 客户端与 Neo4j 连接。
- 全局 RequestValidationError → VALIDATION 信封（API.md §1，2026-08-25 PM 集成）。
- 生产形态（M6）：frontend/dist 存在时静态托管（ARCHITECTURE.md §3）。
"""
from __future__ import annotations
import logging
from contextlib import asynccontextmanager
from pathlib import Path
from fastapi import FastAPI, Request
from fastapi.exceptions import RequestValidationError
from fastapi.middleware.cors import CORSMiddleware
from fastapi.responses import JSONResponse
from fastapi.staticfiles import StaticFiles
from .config import get_settings
from .db import close_db, init_db
from .routers import extraction, health, kg, qa, sessions
from .upstream import close_client
logging.basicConfig(level=logging.INFO)
_ALLOWED_ORIGINS = [
"http://localhost:5180",
"http://127.0.0.1:5180",
]
def create_app() -> FastAPI:
settings = get_settings()
app = FastAPI(title=settings.app_name, version=settings.version)
app.add_middleware(
CORSMiddleware,
allow_origins=_ALLOWED_ORIGINS,
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
app.include_router(health.router)
app.include_router(sessions.router)
app.include_router(qa.router)
app.include_router(kg.router)
app.include_router(extraction.router)
@app.exception_handler(RequestValidationError)
async def _validation_handler(_: Request, exc: RequestValidationError) -> JSONResponse:
# API.md §1 已裁决：参数校验错误收敛为统一 VALIDATION 信封（422）
return JSONResponse(
status_code=422,
content={
"ok": False,
"error": {"code": "VALIDATION", "message": "请求参数不合法", "degraded": False},
},
)
@asynccontextmanager
async def _lifespan(_app: FastAPI):
await init_db()
try:
yield
finally:
await close_client()
try:
from .services.neo4j import close_neo4j # A3 提供；缺失则跳过
await close_neo4j()
except ImportError:
pass
await close_db()
app.router.lifespan_context = _lifespan
# 生产形态：静态托管 frontend/dist（存在时挂载；本地开发期可无）。
# 2026-08-25 PM 修复：dist 路径必须基于项目根解析（BFF 工作目录是 backend/，
# 相对路径会解析成 backend/frontend/dist）；sync.sh 排除 dist，需单独同步。
project_root = Path(__file__).resolve().parent.parent.parent
dist = project_root / settings.frontend_dist_dir if not Path(settings.frontend_dist_dir).is_absolute() else Path(settings.frontend_dist_dir)
if dist.is_dir():
app.mount("/", StaticFiles(directory=str(dist), html=True), name="frontend")
return app
app = create_app()
backend/app/routers/__init__.py
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backend/app/routers/extraction.py
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"""routers/extraction.py —— 抽取任务代理（8000 主 + 7900 回落，API.md §10）。
- 上传仅限 PDF ≤50MB，否则 422 VALIDATION 信封。
- 双上游全不可达 → 503 UPSTREAM_DOWN 降级信封。
- 上游 5xx（如 MinerU 不可用）→ 502 UPSTREAM_ERROR。
错误信封与 mock_server 一致：直接返回 JSONResponse，信封在顶层。
"""
from __future__ import annotations
import logging
from pathlib import Path
from typing import Any, AsyncIterator
from fastapi import APIRouter, File, Form, Query, UploadFile
from fastapi.responses import JSONResponse
from ..services import extraction as _extraction
from ..services.extraction import (
MAX_PDF_BYTES,
ExtractionUnavailable,
ExtractionUpstreamError,
)
logger = logging.getLogger(__name__)
router = APIRouter(prefix="/api/extraction", tags=["extraction"])
_DOWN_MSG = "抽取服务当前不可用，请稍后重试"
_MINERU_MSG = "抽取任务提交失败：上游 MinerU 服务不可用，请检查抽取环境后重试"
def _envelope(code: str, message: str, degraded: bool, status: int) -> JSONResponse:
return JSONResponse(
status_code=status,
content={
"ok": False,
"error": {"code": code, "message": message, "degraded": degraded},
},
)
def _down(exc: BaseException | None = None) -> JSONResponse:
logger.warning("extraction: 上游不可用：%s", exc)
return _envelope("UPSTREAM_DOWN", _DOWN_MSG, True, 503)
def _upstream_error(message: str) -> JSONResponse:
logger.warning("extraction: 上游错误：%s", message)
return _envelope("UPSTREAM_ERROR", message, True, 502)
def _validation(message: str) -> JSONResponse:
return _envelope("VALIDATION", message, False, 422)
def _check_pdf_upload(filename: str, size: int) -> JSONResponse | None:
"""FR-EXTRACT-004：仅 PDF，单文件 ≤50MB。合法返回 None。"""
if size <= 0:
return _validation("上传文件为空")
if size > MAX_PDF_BYTES:
return _validation("文件超过 50MB 限制")
if not filename.lower().endswith(".pdf"):
return _validation("仅支持 PDF 文件")
return None
async def _stream_upload(file: UploadFile) -> AsyncIterator[bytes]:
try:
while chunk := await file.read(1024 * 1024): # 1MB
yield chunk
finally:
await file.close()
@router.get("/jobs")
async def jobs(limit: int = Query(20, ge=1, le=200)) -> dict[str, Any]:
try:
return await _extraction.service.list_jobs(limit=limit)
except ExtractionUnavailable as exc:
return _down(exc)
@router.get("/jobs/{job_id}")
async def job_detail(job_id: str) -> dict[str, Any]:
try:
return await _extraction.service.get_job(job_id)
except ExtractionUnavailable as exc:
return _down(exc)
@router.get("/processing-status")
async def processing_status() -> dict[str, Any]:
try:
return await _extraction.service._passthrough("/processing-status")
except ExtractionUnavailable as exc:
return _down(exc)
@router.get("/progress")
async def progress() -> dict[str, Any]:
try:
return await _extraction.service._passthrough("/progress")
except ExtractionUnavailable as exc:
return _down(exc)
@router.get("/summary")
async def summary() -> dict[str, Any]:
try:
return await _extraction.service._passthrough("/summary")
except ExtractionUnavailable as exc:
return _down(exc)
@router.get("/run-log")
async def run_log() -> dict[str, Any]:
try:
return await _extraction.service._passthrough("/run-log")
except ExtractionUnavailable as exc:
return _down(exc)
@router.post("/upload")
async def upload(
file: UploadFile = File(...),
paper_id: str = Form("uploaded_paper"),
family: str = Form(""),
output_name: str = Form(""),
) -> dict[str, Any]:
filename = file.filename or ""
size = file.size or 0
invalid = _check_pdf_upload(filename, size)
if invalid is not None:
return invalid
try:
return await _extraction.service.upload(
filename=Path(filename).name,
stream=_stream_upload(file),
content_type=file.content_type or "application/pdf",
paper_id=paper_id,
family=family,
output_name=output_name,
)
except ExtractionUnavailable as exc:
return _down(exc)
except ExtractionUpstreamError as exc:
return _upstream_error(f"{_MINERU_MSG}（{exc}）")
except Exception as exc:
logger.exception("extraction: 上传失败")
return _upstream_error(f"提交抽取任务失败：{exc}")
backend/app/routers/health.py
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"""routers/health.py —— GET /api/health（API.md §3）。
并发探测 7920、8000、7900 与 Neo4j（1s 超时，5s 缓存），外加 db 状态。
返回 `{status, version, upstreams, db}`；健康接口不包错误信封（API.md §1 例外）。
"""
from __future__ import annotations
from fastapi import APIRouter
from ..config import get_settings
from ..db import db
from ..upstream import probe_all
router = APIRouter(prefix="/api", tags=["health"])
async def _db_status() -> dict:
try:
rows = await db.fetchall("SELECT COUNT(*) AS n FROM sessions")
return {"ok": True, "sessions": rows[0]["n"] if rows else 0}
except Exception:
return {"ok": False, "sessions": 0}
@router.get("/health")
async def health() -> dict:
upstreams = await probe_all()
db_status = await _db_status()
degraded = not all(u.get("ok") for u in upstreams.values()) or not db_status.get("ok")
return {
"status": "degraded" if degraded else "ok",
"version": get_settings().version,
"upstreams": upstreams,
"db": db_status,
}
backend/app/routers/kg.py
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"""routers/kg.py —— 知识图谱浏览（BFF Bolt 直连 Neo4j，API.md §6）。
Neo4j 不可用 → 503 UPSTREAM_DOWN 降级信封；未命中实体 → 404 NOT_FOUND。
错误信封与 mock_server 一致：直接返回 JSONResponse，信封在顶层
（不用 HTTPException，避免被 FastAPI 包成 {"detail": {...}}）。
"""
from __future__ import annotations
import logging
from typing import Any
from fastapi import APIRouter, Query
from fastapi.responses import JSONResponse
from ..services import neo4j as _neo4j
from ..services.neo4j import Neo4jUnavailable
logger = logging.getLogger(__name__)
router = APIRouter(prefix="/api/kg", tags=["kg"])
_UPSTREAM_DOWN_MSG = "知识图谱服务当前不可用，请稍后重试"
def _down(exc: BaseException | None = None) -> JSONResponse:
logger.warning("kg: Neo4j 不可用：%s", exc)
return JSONResponse(
status_code=503,
content={
"ok": False,
"error": {
"code": "UPSTREAM_DOWN",
"message": _UPSTREAM_DOWN_MSG,
"degraded": True,
},
},
)
def _not_found() -> JSONResponse:
return JSONResponse(
status_code=404,
content={
"ok": False,
"error": {
"code": "NOT_FOUND",
"message": "未找到该实体",
"degraded": False,
},
},
)
@router.get("/status")
async def kg_status():
try:
return await _neo4j.service.kg_status()
except Neo4jUnavailable as exc:
return _down(exc)
@router.get("/overview")
async def kg_overview():
try:
return await _neo4j.service.kg_overview()
except Neo4jUnavailable as exc:
return _down(exc)
@router.get("/entities")
async def kg_entities(
q: str = Query("", description="实体名（name_norm 精确或前缀匹配）"),
limit: int = Query(20, ge=1, le=20),
) -> dict[str, Any]:
try:
results = await _neo4j.service.search_entities(q, limit=limit)
except Neo4jUnavailable as exc:
return _down(exc)
return {"query": q, "results": results}
@router.get("/entities/{entity_id}")
async def kg_entity(entity_id: str) -> dict[str, Any]:
try:
entity = await _neo4j.service.entity(entity_id)
except Neo4jUnavailable as exc:
return _down(exc)
if entity is None:
return _not_found()
return entity
@router.get("/entities/{entity_id}/neighborhood")
async def kg_neighborhood(
entity_id: str,
depth: int = Query(1, ge=1, le=2),
limit: int = Query(50, ge=1, le=200),
) -> dict[str, Any]:
try:
result = await _neo4j.service.neighborhood(entity_id, depth=depth, limit=limit)
except Neo4jUnavailable as exc:
return _down(exc)
if result.get("center") is None:
return _not_found()
return result
backend/app/routers/qa.py
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"""routers/qa.py —— /api/qa/* ：7920 代理 + 归一化 + SSE 中继（A2 归属，API.md §3/§4）。
端点：
- GET /api/qa/info 上游 /info 精简（name/version/pipeline/config）
- POST /api/qa/chat 上游 /chat，300s 读超时，invalid_llm_citation 自动重试一次
- POST /api/qa/chat/stream SSE 中继（app.services.sse_relay.relay_stream）
- POST /api/qa/search 上游 /search，强制 use_llm:false，180s 读超时，不重试，
响应 mode:"search"、answer:""
请求体一律透传（前端字段集见 API.md §4，BFF 不增删字段）。
"""
from __future__ import annotations
import json
import logging
from typing import Any, Optional
import httpx
from fastapi import APIRouter, Request
from fastapi.responses import JSONResponse, StreamingResponse
from ..services import sse_relay
logger = logging.getLogger(__name__)
router = APIRouter(prefix="/api/qa", tags=["qa"])
# 超时阶梯（TODO(A2→A1 对齐点)：A1 的 app.config.settings 就绪后改为配置读取）
CHAT_READ_TIMEOUT = 300.0
SEARCH_READ_TIMEOUT = 180.0
INFO_READ_TIMEOUT = 5.0
CONNECT_TIMEOUT = 10.0
# ---------------------------------------------------------------------------
# 错误信封（TODO(A2→A1 对齐点)：HTTP JSON 信封换用 app.upstream.envelope()）
# ---------------------------------------------------------------------------
MESSAGES = {
"UPSTREAM_DOWN": "知识问答服务当前不可用，请稍后重试",
"UPSTREAM_ERROR": "知识问答服务返回错误",
"TIMEOUT": "检索超时",
"INVALID_CITATION": "引用校验失败，请重试",
"VALIDATION": "请求参数不合法",
"INTERNAL": "内部错误",
}
def _envelope(code: str, status: int, message: Optional[str] = None, degraded: Optional[bool] = None) -> JSONResponse:
if degraded is None:
degraded = code == "UPSTREAM_DOWN"
return JSONResponse(
status_code=status,
content={"ok": False, "error": {"code": code, "message": message or MESSAGES[code], "degraded": degraded}},
)
# ---------------------------------------------------------------------------
# 上游调用
# ---------------------------------------------------------------------------
def _upstream_path(endpoint: str) -> str:
return f"{sse_relay.QA_UPSTREAM_PREFIX}/{endpoint}"
def _read_timeout(seconds: float) -> httpx.Timeout:
return httpx.Timeout(connect=CONNECT_TIMEOUT, read=seconds, write=30.0, pool=CONNECT_TIMEOUT)
async def _parse_json(text: Optional[bytes]) -> Any:
if not text:
return None
try:
return json.loads(text.decode("utf-8", errors="replace"))
except Exception:
return None
def _error_from_status(status: int, payload: Any) -> tuple[str, int, Optional[str]]:
"""上游 HTTP≥400 → (code, bff_http, message)。HTTP 按 API.md §1 固定映射，不透传上游状态码。"""
if sse_relay.is_invalid_citation(payload):
return "INVALID_CITATION", 502, None
if status in (408, 504):
return "TIMEOUT", 504, None
detail = payload.get("detail") if isinstance(payload, dict) else None
if isinstance(detail, dict):
message = detail.get("message") or detail.get("error")
return "UPSTREAM_ERROR", 502, message
if isinstance(payload, dict):
message = payload.get("message") or payload.get("error")
return "UPSTREAM_ERROR", 502, message
return "UPSTREAM_ERROR", 502, None
async def _proxy(
endpoint: str,
body: Optional[dict] = None,
*,
read_timeout: float,
retry_invalid_citation: bool,
mode: str,
normalizer=None,
) -> Any:
"""非流式上游代理：重试、错误信封、归一化。返回 (JSONResponse)。"""
client = sse_relay.get_qa_client()
normalizer = normalizer or sse_relay.get_qa_normalizer()
url = f"{sse_relay.qa_base_url()}{_upstream_path(endpoint)}"
timeout = _read_timeout(read_timeout)
json_body = body if body is not None else {}
for attempt in (1, 2):
try:
resp = await client.request("POST", url, json=json_body, timeout=timeout)
except httpx.ReadTimeout:
return _envelope("TIMEOUT", 504)
except (httpx.ConnectError, httpx.ConnectTimeout, httpx.PoolTimeout) as exc:
logger.warning("上游 %s 连接失败: %s", endpoint, exc)
return _envelope("UPSTREAM_DOWN", 503)
except httpx.HTTPError as exc:
logger.warning("上游 %s 请求失败: %s", endpoint, exc)
return _envelope("UPSTREAM_ERROR", 502)
payload = await _parse_json(resp.content)
if resp.status_code >= 400:
if (
retry_invalid_citation
and attempt == 1
and sse_relay.is_invalid_citation(payload)
):
logger.warning(
"上游 %s 返回 %d invalid_llm_citation，自动重试（第 1 次）", endpoint, resp.status_code
)
continue
code, bff_status, message = _error_from_status(resp.status_code, payload)
return _envelope(code, bff_status, message)
try:
normalized = normalizer(payload if isinstance(payload, dict) else {})
except Exception:
logger.exception("归一化上游 %s 响应失败", endpoint)
return _envelope("INTERNAL", 500)
normalized["mode"] = mode
if mode == "search":
normalized["answer"] = ""
return JSONResponse(content=normalized)
# 不可达（重试循环内必然 return）；防御性兜底
return _envelope("UPSTREAM_ERROR", 502)
# ---------------------------------------------------------------------------
# 端点
# ---------------------------------------------------------------------------
@router.get("/info")
async def qa_info():
"""上游 /info 精简（API.md §3）。"""
client = sse_relay.get_qa_client()
url = f"{sse_relay.qa_base_url()}{_upstream_path('info')}"
try:
resp = await client.get(url, timeout=_read_timeout(INFO_READ_TIMEOUT))
except httpx.ReadTimeout:
return _envelope("TIMEOUT", 504)
except (httpx.ConnectError, httpx.ConnectTimeout, httpx.PoolTimeout) as exc:
logger.warning("上游 /info 连接失败: %s", exc)
return _envelope("UPSTREAM_DOWN", 503)
except httpx.HTTPError as exc:
logger.warning("上游 /info 请求失败: %s", exc)
return _envelope("UPSTREAM_ERROR", 502)
payload = await _parse_json(resp.content)
if resp.status_code >= 400 or not isinstance(payload, dict):
return _envelope("UPSTREAM_ERROR", 502)
info = payload.get("info") if isinstance(payload.get("info"), dict) else payload
return JSONResponse(
content={
"name": info.get("name") or payload.get("name"),
"version": info.get("version") or payload.get("version"),
"pipeline": info.get("pipeline") or payload.get("pipeline") or [],
"config": info.get("config") or payload.get("config") or {},
}
)
@router.post("/chat")
async def qa_chat(request: Request):
"""非流式问答：上游 /chat + 归一化 + invalid_llm_citation 重试一次。"""
body = await request.json()
return await _proxy(
"chat", body, read_timeout=CHAT_READ_TIMEOUT, retry_invalid_citation=True, mode="chat"
)
@router.post("/chat/stream")
async def qa_chat_stream(request: Request):
"""SSE 中继（API.md §4）。"""
try:
body = await request.json()
except Exception:
return _envelope("VALIDATION", 422)
return StreamingResponse(
sse_relay.relay_stream(body),
media_type="text/event-stream",
headers=sse_relay.sse_headers,
)
@router.post("/search")
async def qa_search(request: Request):
"""检索模式：强制 use_llm:false，180s 读超时，不重试。"""
body = await request.json()
body = {**body, "use_llm": False}
return await _proxy(
"search", body, read_timeout=SEARCH_READ_TIMEOUT, retry_invalid_citation=False, mode="search"
)
backend/app/routers/sessions.py
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"""routers/sessions.py —— 会话与消息 CRUD + 会话级来源聚合（API.md §5）。
- GET/POST /api/sessions —— 列表（updated_at 倒序）/ 创建（title 可空，默认「新会话」）
- GET/PATCH/DELETE /api/sessions/{id} —— 详情（含 messages）/ 更新（title|status）/ 删除（204，级联消息）
- POST /api/sessions/{id}/messages —— 用户消息（{role:"user", text}）或助手流式骨架
（{role:"assistant", kind, status:"streaming", blocks:[…]}）
- PATCH /api/sessions/{id}/messages/{mid} —— 局部更新 {status, blocks, raw}（流式检查点）
- GET /api/sessions/{id}/sources —— 全会话来源聚合：按 paper_id 去重（无 paper_id 按 id），
带 count（出现次数）。
404 → NOT_FOUND 信封；时间 ISO 8601 UTC。
"""
from __future__ import annotations
import logging
import uuid
from datetime import datetime, timezone
from typing import Any
from fastapi import APIRouter, Depends, Response, status as http_status
from fastapi.responses import JSONResponse
from ..db import Database, dumps_json, get_db, loads_json
from ..schemas import (
MessageCreate,
MessageOut,
MessagePatch,
SessionCreate,
SessionDetail,
SessionOut,
SessionPatch,
)
from ..upstream import envelope
logger = logging.getLogger(__name__)
router = APIRouter(prefix="/api/sessions", tags=["sessions"])
_SESSION_SELECT = (
"SELECT s.id, s.title, s.status, s.meta, s.created_at, s.updated_at, "
"(SELECT COUNT(*) FROM messages m WHERE m.session_id = s.id) AS message_count "
"FROM sessions s"
)
_MESSAGE_SELECT = (
"SELECT id, session_id, role, kind, status, blocks, raw, text, created_at, updated_at "
"FROM messages"
)
def _db_now() -> str:
return datetime.now(timezone.utc).strftime("%Y-%m-%dT%H:%M:%SZ")
def _row_to_session(row: Any) -> SessionOut:
return SessionOut(
id=row["id"],
title=row["title"],
status=row["status"],
created_at=row["created_at"],
updated_at=row["updated_at"],
message_count=row["message_count"],
meta=loads_json(row["meta"], default={"title_manual": False}),
)
def _row_to_message(row: Any) -> MessageOut:
return MessageOut(
id=row["id"],
role=row["role"],
kind=row["kind"],
status=row["status"],
blocks=loads_json(row["blocks"], default=[]),
raw=loads_json(row["raw"], default=None),
text=row["text"],
created_at=row["created_at"],
updated_at=row["updated_at"],
)
async def _get_session_or_none(
db: Database, session_id: str, *, with_count: bool = True
) -> SessionOut | None:
sql = _SESSION_SELECT + " WHERE s.id = ?"
row = await db.fetchone(sql, (session_id,))
return _row_to_session(row) if row else None
async def _get_message_or_none(
db: Database, session_id: str, message_id: str
) -> MessageOut | None:
row = await db.fetchone(
_MESSAGE_SELECT + " WHERE id = ? AND session_id = ?", (message_id, session_id)
)
return _row_to_message(row) if row else None
# ---------------------------------------------------------------------------
# 会话
# ---------------------------------------------------------------------------
@router.get("", response_model=list[SessionOut])
async def list_sessions(db: Database = Depends(get_db)) -> list[SessionOut]:
rows = await db.fetchall(_SESSION_SELECT + " ORDER BY s.updated_at DESC")
return [_row_to_session(r) for r in rows]
@router.post("", response_model=SessionOut, status_code=http_status.HTTP_201_CREATED)
async def create_session(
payload: SessionCreate, db: Database = Depends(get_db)
) -> SessionOut:
now = _db_now()
session_id = str(uuid.uuid4())
title = payload.normalized_title()
await db.execute(
"INSERT INTO sessions (id, title, status, meta, created_at, updated_at) "
"VALUES (?, ?, 'idle', ?, ?, ?)",
(session_id, title, dumps_json({"title_manual": False}), now, now),
)
out = await _get_session_or_none(db, session_id)
assert out is not None # 刚插入必存在
return out
@router.get("/{session_id}", response_model=SessionDetail)
async def get_session(session_id: str, db: Database = Depends(get_db)):
session = await _get_session_or_none(db, session_id)
if session is None:
return _not_found(session_id)
rows = await db.fetchall(
_MESSAGE_SELECT + " WHERE session_id = ? ORDER BY created_at ASC", (session_id,)
)
return SessionDetail(**session.model_dump(), messages=[_row_to_message(r) for r in rows])
@router.patch("/{session_id}", response_model=SessionOut)
async def patch_session(
session_id: str, payload: SessionPatch, db: Database = Depends(get_db)
):
session = await _get_session_or_none(db, session_id)
if session is None:
return _not_found(session_id)
title = payload.title.strip() if payload.title is not None else None
status = payload.status
if title:
meta = session.meta.model_dump()
meta["title_manual"] = True
await db.execute(
"UPDATE sessions SET title = ?, meta = ?, updated_at = ? WHERE id = ?",
(title, dumps_json(meta), _db_now(), session_id),
)
if status is not None:
await db.execute(
"UPDATE sessions SET status = ?, updated_at = ? WHERE id = ?",
(status, _db_now(), session_id),
)
out = await _get_session_or_none(db, session_id)
assert out is not None
return out
@router.delete("/{session_id}", status_code=http_status.HTTP_204_NO_CONTENT)
async def delete_session(session_id: str, db: Database = Depends(get_db)) -> Response:
session = await _get_session_or_none(db, session_id)
if session is None:
return _not_found_response(session_id)
await db.execute("DELETE FROM sessions WHERE id = ?", (session_id,))
return Response(status_code=http_status.HTTP_204_NO_CONTENT)
# ---------------------------------------------------------------------------
# 消息
# ---------------------------------------------------------------------------
@router.post("/{session_id}/messages", response_model=MessageOut, status_code=201)
async def create_message(
session_id: str, payload: MessageCreate, db: Database = Depends(get_db)
):
session = await _get_session_or_none(db, session_id)
if session is None:
return _not_found(session_id)
now = _db_now()
message_id = str(uuid.uuid4())
if payload.role == "user":
text = (payload.text or "").strip()
await db.execute(
"INSERT INTO messages (id, session_id, role, kind, status, blocks, raw, text, "
"created_at, updated_at) VALUES (?, ?, 'user', ?, 'done', '[]', NULL, ?, ?, ?)",
(message_id, session_id, payload.kind, text, now, now),
)
else:
# 助手流式骨架：text 置空，blocks 落库初始块
blocks = [b.model_dump() for b in payload.blocks]
await db.execute(
"INSERT INTO messages (id, session_id, role, kind, status, blocks, raw, text, "
"created_at, updated_at) VALUES (?, ?, 'assistant', ?, ?, ?, NULL, NULL, ?, ?)",
(message_id, session_id, payload.kind, payload.status or "streaming",
dumps_json(blocks), now, now),
)
# 消息活动 → 会话 updated_at 前移、idle → running
await db.execute(
"UPDATE sessions SET status = CASE WHEN status = 'idle' THEN 'running' ELSE status END, "
"updated_at = ? WHERE id = ?",
(now, session_id),
)
out = await _get_message_or_none(db, session_id, message_id)
assert out is not None
return out
@router.patch("/{session_id}/messages/{message_id}", response_model=MessageOut)
async def patch_message(
session_id: str,
message_id: str,
payload: MessagePatch,
db: Database = Depends(get_db),
):
message = await _get_message_or_none(db, session_id, message_id)
if message is None:
return _not_found(session_id, message_id)
sets: list[str] = []
params: list[Any] = []
if payload.status is not None:
sets.append("status = ?")
params.append(payload.status)
if payload.blocks is not None:
sets.append("blocks = ?")
params.append(dumps_json([b.model_dump() for b in payload.blocks]))
if payload.raw is not None:
sets.append("raw = ?")
params.append(dumps_json(payload.raw))
if sets:
sets.append("updated_at = ?")
params.append(_db_now())
params.append(message_id)
await db.execute(
f"UPDATE messages SET {', '.join(sets)} WHERE id = ?", params
)
# 同步前移会话 updated_at
await db.execute(
"UPDATE sessions SET updated_at = ? WHERE id = ?",
(_db_now(), session_id),
)
out = await _get_message_or_none(db, session_id, message_id)
assert out is not None
return out
# ---------------------------------------------------------------------------
# 会话来源聚合
# ---------------------------------------------------------------------------
@router.get("/{session_id}/sources")
async def get_session_sources(session_id: str, db: Database = Depends(get_db)):
"""按 paper_id 去重（无 paper_id 时按 id），带 count（出现次数）。
来源来自该会话全部助手消息 blocks 里的 sources 块（§2 块联合）。
"""
session = await _get_session_or_none(db, session_id)
if session is None:
return _not_found(session_id)
rows = await db.fetchall(
"SELECT blocks FROM messages WHERE session_id = ? AND role = 'assistant'",
(session_id,),
)
def is_sources_block(b: Any) -> bool:
return isinstance(b, dict) and b.get("type") == "sources" and isinstance(b.get("items"), list)
def key_of(item: dict[str, Any]) -> str:
return str(item.get("paper_id") or item.get("id") or "")
agg: dict[str, dict[str, Any]] = {}
order: list[str] = []
for row in rows:
blocks = loads_json(row["blocks"], default=[])
for block in blocks:
if not is_sources_block(block):
continue
for item in block["items"]:
if not isinstance(item, dict):
continue
key = key_of(item)
if not key:
continue
if key not in agg:
agg[key] = dict(item)
agg[key]["count"] = 0
order.append(key)
agg[key]["count"] += 1
sources = [agg[k] for k in order]
return {"session_id": session_id, "total": sum(s["count"] for s in sources), "sources": sources}
# ---------------------------------------------------------------------------
# 404 帮助
# ---------------------------------------------------------------------------
def _not_found(session_id: str, message_id: str | None = None) -> JSONResponse:
detail = f"会话 {session_id} 不存在" if message_id is None else f"消息 {message_id} 不存在"
body, status = envelope("NOT_FOUND", message=detail, status=404)
return JSONResponse(status_code=status, content=body)
def _not_found_response(session_id: str) -> JSONResponse:
return _not_found(session_id)
backend/app/routers/test_kg.py
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"""routers/test_kg.py —— kg 路由单元测试。
用假 Neo4jService 替换 services.neo4j.service（monkeypatch），覆盖：
五个端点成功形态、Neo4j 不可用 → 503 UPSTREAM_DOWN、未命中实体 → 404
NOT_FOUND、参数校验（limit ≤ 20、depth 1-2）。
"""
from __future__ import annotations
import httpx
import pytest
from fastapi import FastAPI
from app.routers import kg as kg_router
from app.services import neo4j as neo4j_mod
from app.services.neo4j import Neo4jUnavailable
class FakeService:
"""方法逐项可配的假服务。"""
def __init__(self, **overrides):
self.calls: dict[str, list] = {}
self.overrides = overrides
async def kg_status(self):
return self.overrides.get("kg_status", {"ok": True, "active": "x"})
async def kg_overview(self):
return self.overrides.get("kg_overview", {"entities_by_type": []})
async def search_entities(self, q, limit=20):
self.calls.setdefault("search_entities", []).append((q, limit))
return self.overrides.get(
"search_entities",
[{"id": "cent_ospl14", "name": "OsSPL14", "type": "gene", "support_count": 18}],
)
async def entity(self, entity_id):
self.calls.setdefault("entity", []).append(entity_id)
return self.overrides.get(
"entity",
{"id": "cent_ospl14", "name": "OsSPL14", "type": "gene", "properties": {}},
)
async def neighborhood(self, entity_id, depth=1, limit=200):
self.calls.setdefault("neighborhood", []).append((entity_id, depth, limit))
return self.overrides.get(
"neighborhood",
{
"center": "cent_ospl14",
"center_name": "OsSPL14",
"depth": depth,
"nodes": [{"id": "cent_ospl14", "label": "OsSPL14", "type": "gene"}],
"edges": [],
},
)
@pytest.fixture
def fake_service(monkeypatch):
fake = FakeService()
monkeypatch.setattr(neo4j_mod, "service", fake)
return fake
@pytest.fixture
def client():
# 用真实 FastAPI() 包装：自动获得 ExceptionMiddleware + AsyncExitStackMiddleware，
# 与生产挂载形态一致（生产 main.py 把 kg.router include 进 FastAPI 实例）。
app = FastAPI()
app.include_router(kg_router.router)
return httpx.AsyncClient(
transport=httpx.ASGITransport(app=app, raise_app_exceptions=False),
base_url="http://test",
)
async def test_status_ok(fake_service, client):
fake_service.overrides["kg_status"] = {
"ok": True,
"active": "neo4j-plant-srt-direct-v1-full",
"schema": "canonical",
"labels": ["SRT2CanonicalEntity", "SRT2CanonicalAssertion", "SRT2Paper"],
"relationship_types": ["SRT2_CANONICAL_ASSERTS", "SRT2_SUPPORTED_BY"],
"entity_count": 3820996,
"assertion_count": 8246875,
"name_index": "srt2_canonical_entity_name_norm",
"fulltext_index": None,
}
resp = await client.get("/api/kg/status")
assert resp.status_code == 200
assert resp.json()["entity_count"] == 3820996
async def test_status_down_returns_503_envelope(fake_service, client):
async def boom():
raise Neo4jUnavailable("all down")
fake_service.kg_status = boom
resp = await client.get("/api/kg/status")
assert resp.status_code == 503
body = resp.json()
assert body["ok"] is False
assert body["error"]["code"] == "UPSTREAM_DOWN"
assert body["error"]["degraded"] is True
async def test_overview_ok(fake_service, client):
fake_service.overrides["kg_overview"] = {
"entities_by_type": [{"type": "gene", "count": 43210}],
"relations_by_category": [{"type": "characterized_in", "count": 12033}],
}
resp = await client.get("/api/kg/overview")
assert resp.status_code == 200
body = resp.json()
assert body["entities_by_type"][0]["type"] == "gene"
assert body["relations_by_category"][0]["count"] == 12033
async def test_overview_down_returns_503(fake_service, client):
async def boom():
raise Neo4jUnavailable("down")
fake_service.kg_overview = boom
resp = await client.get("/api/kg/overview")
assert resp.status_code == 503
assert resp.json()["error"]["code"] == "UPSTREAM_DOWN"
async def test_entities_ok_and_params_passed(fake_service, client):
resp = await client.get("/api/kg/entities", params={"q": "OsSPL14", "limit": 5})
assert resp.status_code == 200
body = resp.json()
assert body["query"] == "OsSPL14"
assert body["results"][0]["id"] == "cent_ospl14"
assert fake_service.calls["search_entities"] == [("OsSPL14", 5)]
async def test_entities_limit_over_20_rejected(client):
resp = await client.get("/api/kg/entities", params={"q": "OsSPL14", "limit": 21})
assert resp.status_code == 422 # FastAPI 参数校验（VALIDATION 语义由 A1 统一处理）
async def test_entities_down_returns_503(fake_service, client):
async def boom(q, limit=20):
raise Neo4jUnavailable("down")
fake_service.search_entities = boom
resp = await client.get("/api/kg/entities", params={"q": "x"})
assert resp.status_code == 503
assert resp.json()["error"]["code"] == "UPSTREAM_DOWN"
async def test_entity_ok(fake_service, client):
resp = await client.get("/api/kg/entities/cent_ospl14")
assert resp.status_code == 200
body = resp.json()
assert body["id"] == "cent_ospl14"
assert body["name"] == "OsSPL14"
assert fake_service.calls["entity"] == ["cent_ospl14"]
async def test_entity_miss_returns_404(fake_service, client):
fake_service.overrides["entity"] = None
resp = await client.get("/api/kg/entities/NoSuch")
assert resp.status_code == 404
body = resp.json()
assert body["ok"] is False
assert body["error"]["code"] == "NOT_FOUND"
assert body["error"]["degraded"] is False
async def test_entity_down_returns_503(fake_service, client):
async def boom(entity_id):
raise Neo4jUnavailable("down")
fake_service.entity = boom
resp = await client.get("/api/kg/entities/cent_ospl14")
assert resp.status_code == 503
assert resp.json()["error"]["code"] == "UPSTREAM_DOWN"
async def test_neighborhood_ok_and_params(fake_service, client):
resp = await client.get(
"/api/kg/entities/cent_ospl14/neighborhood", params={"depth": 2, "limit": 100}
)
assert resp.status_code == 200
body = resp.json()
assert body["center"] == "cent_ospl14"
assert body["center_name"] == "OsSPL14"
assert body["depth"] == 2
assert fake_service.calls["neighborhood"] == [("cent_ospl14", 2, 100)]
async def test_neighborhood_defaults_depth1_limit50(fake_service, client):
resp = await client.get("/api/kg/entities/cent_ospl14/neighborhood")
assert resp.status_code == 200
assert fake_service.calls["neighborhood"] == [("cent_ospl14", 1, 50)]
async def test_neighborhood_depth_out_of_range_rejected(client):
resp = await client.get("/api/kg/entities/cent_ospl14/neighborhood", params={"depth": 3})
assert resp.status_code == 422
async def test_neighborhood_miss_returns_404(fake_service, client):
fake_service.overrides["neighborhood"] = {
"center": None, "center_name": None, "depth": 1, "nodes": [], "edges": []
}
resp = await client.get("/api/kg/entities/NoSuch/neighborhood")
assert resp.status_code == 404
assert resp.json()["error"]["code"] == "NOT_FOUND"
async def test_neighborhood_down_returns_503(fake_service, client):
async def boom(entity_id, depth=1, limit=200):
raise Neo4jUnavailable("down")
fake_service.neighborhood = boom
resp = await client.get("/api/kg/entities/cent_ospl14/neighborhood")
assert resp.status_code == 503
assert resp.json()["error"]["code"] == "UPSTREAM_DOWN"
backend/app/routers/test_qa.py
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"""test_qa.py —— /api/qa/* 路由单元测试（A2 归属）。
通过 httpx.MockTransport 注入假上游（把 sse_relay.get_qa_client 替换为指向
MockTransport 的 client），不依赖真实 7920。
"""
from __future__ import annotations
import json
import httpx
import pytest
from starlette.testclient import TestClient
from app.main import app
from app.services import sse_relay
def _transport_handler(handler) -> httpx.AsyncClient:
"""以 MockTransport 构造一个 client。"""
return httpx.AsyncClient(transport=httpx.MockTransport(handler))
@pytest.fixture
def bff_client():
return TestClient(app)
UPSTREAM_INFO = {
"name": "QA V1.1.73 Assertion-Anchored Full Graph",
"version": "1.1.73-assertion-anchored",
"pipeline": ["question", "provisional answer"],
"config": {"max_evidence": 40, "bge_rerank": True},
}
def _json_response(payload, status=200) -> httpx.Response:
return httpx.Response(status, json=payload)
def test_info_passthrough_trimmed(bff_client, monkeypatch):
def handler(request: httpx.Request) -> httpx.Response:
assert request.method == "GET"
assert request.url.path.endswith("/api/v1/qa-v1-1-73/info")
return _json_response(UPSTREAM_INFO)
client = _transport_handler(handler)
monkeypatch.setattr(sse_relay, "get_qa_client", lambda: client)
resp = bff_client.get("/api/qa/info")
assert resp.status_code == 200
data = resp.json()
assert data == UPSTREAM_INFO
assert set(data.keys()) == {"name", "version", "pipeline", "config"}
def test_info_upstream_down_503(bff_client, monkeypatch):
def handler(request: httpx.Request) -> httpx.Response:
raise httpx.ConnectError("down", request=request)
client = _transport_handler(handler)
monkeypatch.setattr(sse_relay, "get_qa_client", lambda: client)
resp = bff_client.get("/api/qa/info")
assert resp.status_code == 503
data = resp.json()
assert data["ok"] is False
assert data["error"]["code"] == "UPSTREAM_DOWN"
assert data["error"]["degraded"] is True
def test_info_wrapped_info_field_tolerated(bff_client, monkeypatch):
def handler(request: httpx.Request) -> httpx.Response:
return _json_response({"info": UPSTREAM_INFO})
client = _transport_handler(handler)
monkeypatch.setattr(sse_relay, "get_qa_client", lambda: client)
resp = bff_client.get("/api/qa/info")
assert resp.status_code == 200
assert resp.json()["name"] == UPSTREAM_INFO["name"]
def test_chat_ok_normalized(bff_client, monkeypatch):
calls = []
def handler(request: httpx.Request) -> httpx.Response:
calls.append(request)
assert request.url.path.endswith("/api/v1/qa-v1-1-73/chat")
return _json_response({"answer": "some answer", "sources": []})
client = _transport_handler(handler)
monkeypatch.setattr(sse_relay, "get_qa_client", lambda: client)
body = {"question": "水稻SPL？", "use_llm": True, "chain_top_k": 3}
resp = bff_client.post("/api/qa/chat", json=body)
assert resp.status_code == 200
data = resp.json()
assert data["mode"] == "chat"
assert data["answer"] == "some answer"
# 请求体透传，不增删字段
sent = json.loads(calls[0].content)
assert sent == body
def test_chat_invalid_citation_retries_once(bff_client, monkeypatch):
calls = []
def handler(request: httpx.Request) -> httpx.Response:
calls.append(request)
if len(calls) == 1:
return _json_response({"detail": {"error_code": "invalid_llm_citation"}}, status=402)
return _json_response({"answer": "retry ok", "sources": []})
client = _transport_handler(handler)
monkeypatch.setattr(sse_relay, "get_qa_client", lambda: client)
resp = bff_client.post("/api/qa/chat", json={"question": "q"})
assert resp.status_code == 200
assert resp.json()["answer"] == "retry ok"
assert len(calls) == 2
def test_chat_invalid_citation_retry_still_fails_502(bff_client, monkeypatch):
calls = []
def handler(request: httpx.Request) -> httpx.Response:
calls.append(request)
return _json_response({"detail": {"error_code": "invalid_llm_citation"}}, status=402)
client = _transport_handler(handler)
monkeypatch.setattr(sse_relay, "get_qa_client", lambda: client)
resp = bff_client.post("/api/qa/chat", json={"question": "q"})
assert resp.status_code == 502
data = resp.json()
assert data["error"]["code"] == "INVALID_CITATION"
assert data["error"]["message"] == "引用校验失败，请重试"
assert len(calls) == 2 # 重试仅一次
def test_chat_upstream_500_no_retry(bff_client, monkeypatch):
calls = []
def handler(request: httpx.Request) -> httpx.Response:
calls.append(request)
return _json_response({"detail": "boom"}, status=500)
client = _transport_handler(handler)
monkeypatch.setattr(sse_relay, "get_qa_client", lambda: client)
resp = bff_client.post("/api/qa/chat", json={"question": "q"})
assert resp.status_code == 502
assert resp.json()["error"]["code"] == "UPSTREAM_ERROR"
assert len(calls) == 1
def test_search_forces_use_llm_false_and_mode_search(bff_client, monkeypatch):
calls = []
def handler(request: httpx.Request) -> httpx.Response:
calls.append(request)
assert request.url.path.endswith("/api/v1/qa-v1-1-73/search")
return _json_response({"answer": "SHOULD BE WIPED", "sources": [{"title": "T"}]})
client = _transport_handler(handler)
monkeypatch.setattr(sse_relay, "get_qa_client", lambda: client)
resp = bff_client.post("/api/qa/search", json={"question": "q", "use_llm": True})
assert resp.status_code == 200
data = resp.json()
assert data["mode"] == "search"
assert data["answer"] == ""
sent = json.loads(calls[0].content)
assert sent["use_llm"] is False # 强制
assert sent["question"] == "q" # 其余透传
def test_search_no_retry_on_invalid_citation(bff_client, monkeypatch):
calls = []
def handler(request: httpx.Request) -> httpx.Response:
calls.append(request)
return _json_response({"detail": {"error_code": "invalid_llm_citation"}}, status=402)
client = _transport_handler(handler)
monkeypatch.setattr(sse_relay, "get_qa_client", lambda: client)
resp = bff_client.post("/api/qa/search", json={"question": "q"})
assert resp.status_code == 502
assert len(calls) == 1 # 不重试
def test_chat_upstream_down_503(bff_client, monkeypatch):
def handler(request: httpx.Request) -> httpx.Response:
raise httpx.ConnectError("down", request=request)
client = _transport_handler(handler)
monkeypatch.setattr(sse_relay, "get_qa_client", lambda: client)
resp = bff_client.post("/api/qa/chat", json={"question": "q"})
assert resp.status_code == 503
assert resp.json()["error"]["code"] == "UPSTREAM_DOWN"
def test_chat_upstream_read_timeout_504(bff_client, monkeypatch):
def handler(request: httpx.Request) -> httpx.Response:
raise httpx.ReadTimeout("slow", request=request)
client = _transport_handler(handler)
monkeypatch.setattr(sse_relay, "get_qa_client", lambda: client)
resp = bff_client.post("/api/qa/chat", json={"question": "q"})
assert resp.status_code == 504
assert resp.json()["error"]["code"] == "TIMEOUT"
def test_chat_stream_headers_and_relay(bff_client, monkeypatch):
"""SSE 端到端：MockTransport 吐 SSE 字节，断言契约帧与响应头。"""
upstream_bytes = (
b'data: {"stage":"entities_identified","details":{"entities":["OsSPL14"]}}\n\n'
b'event: complete\ndata: {"answer":"A","sources":[]}\n\n'
)
def handler(request: httpx.Request) -> httpx.Response:
assert request.url.path.endswith("/api/v1/qa-v1-1-73/chat/stream")
return httpx.Response(200, stream=httpx.ByteStream(upstream_bytes))
client = _transport_handler(handler)
monkeypatch.setattr(sse_relay, "get_qa_client", lambda: client)
with bff_client.stream("POST", "/api/qa/chat/stream", json={"question": "q"}) as resp:
assert resp.status_code == 200
assert resp.headers["content-type"].startswith("text/event-stream")
assert resp.headers["cache-control"] == "no-cache"
assert resp.headers["x-accel-buffering"] == "no"
body = "".join(resp.iter_text())
assert "event: progress" in body
assert '"phase": "planning"' in body
assert "event: complete" in body
assert "event: error" not in body
def test_chat_stream_invalid_citation_retry_then_error(bff_client, monkeypatch):
"""上游头阶段 402 → 重试一次 → 仍 402 → event: error。"""
calls = []
def handler(request: httpx.Request) -> httpx.Response:
calls.append(request)
return _json_response({"detail": {"error_code": "invalid_llm_citation"}}, status=402)
client = _transport_handler(handler)
monkeypatch.setattr(sse_relay, "get_qa_client", lambda: client)
with bff_client.stream("POST", "/api/qa/chat/stream", json={"question": "q"}) as resp:
body = "".join(resp.iter_text())
assert "event: error" in body
assert '"code": "INVALID_CITATION"' in body
assert len(calls) == 2
backend/app/schemas.py
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"""schemas.py —— Pydantic v2 模型（API.md 的契约形态）。
覆盖：块联合（§2）、SourceItem（§8）、GraphData / GraphNode / GraphEdge /
GraphChain（§9）、SessionOut / MessageOut（§5）、错误信封（§1）。
约定：模型 `extra="ignore"` + 全字段默认值，落库/返参前先经模型验证归一。
"""
from __future__ import annotations
from datetime import datetime, timezone
from typing import Any, Literal, Union
from pydantic import BaseModel, ConfigDict, Field
def utcnow_iso() -> str:
return datetime.now(timezone.utc).strftime("%Y-%m-%dT%H:%M:%SZ")
# ---------------------------------------------------------------------------
# §2 块联合（判别字段 type）
# ---------------------------------------------------------------------------
class TextBlock(BaseModel):
type: Literal["text"] = "text"
html: str
class TableBlock(BaseModel):
type: Literal["table"] = "table"
headers: list[str] = Field(default_factory=list)
rows: list[list[str]] = Field(default_factory=list)
class CodeBlock(BaseModel):
type: Literal["code"] = "code"
text: str
class StreamBlock(BaseModel):
"""瞬态块：只出现在流式过程中，绝不落库。"""
type: Literal["stream"] = "stream"
text: str
class PipelineStep(BaseModel):
name: str = ""
state: Literal["waiting", "running", "done"] = "waiting"
desc: str = ""
phase: str = "" # planning|retrieval|evidence|generation|done（API.md §4）
class PipelineBlock(BaseModel):
type: Literal["pipeline"] = "pipeline"
status: Literal["running", "done", "error"] = "running"
steps: list[PipelineStep] = Field(default_factory=list)
class ToolLog(BaseModel):
text: str = ""
cls: str = "log-ok" # log-ok|log-run
class ToolBlock(BaseModel):
type: Literal["tool"] = "tool"
icon: str = ""
name: str = ""
status: Literal["running", "done", "error"] = "running"
dur: str = ""
open: bool = True
params: str = ""
result: str = ""
logs: list[ToolLog] = Field(default_factory=list)
phase: str = "retrieval"
class SourcesBlock(BaseModel):
type: Literal["sources"] = "sources"
items: list["SourceItem"] = Field(default_factory=list)
class GraphBlock(BaseModel):
type: Literal["graph"] = "graph"
nodes: list["GraphNode"] = Field(default_factory=list)
edges: list["GraphEdge"] = Field(default_factory=list)
chains: list["GraphChain"] = Field(default_factory=list)
Block = Union[
TextBlock, TableBlock, CodeBlock, StreamBlock,
PipelineBlock, ToolBlock, SourcesBlock, GraphBlock,
]
# ---------------------------------------------------------------------------
# §8 SourceItem —— 所有字段键必须存在（缺失为 null）
# ---------------------------------------------------------------------------
class SourceItem(BaseModel):
model_config = ConfigDict(extra="ignore")
id: str | None = None
title: str | None = None
paper_id: str | None = None
chunk_id: str | None = None
pmid: str | None = None
pmcid: str | None = None
doi: str | None = None
url: str | None = None
snippet: str | None = None
score: float | None = None
locator: str | None = None
section: str | None = None
support_count: int | None = None
type: str | None = None
metadata: dict[str, Any] = Field(default_factory=dict)
# ---------------------------------------------------------------------------
# §9 图谱结构
# ---------------------------------------------------------------------------
class GraphNode(BaseModel):
model_config = ConfigDict(extra="ignore")
id: str
label: str | None = None
type: str | None = None
class GraphEdge(BaseModel):
model_config = ConfigDict(extra="ignore")
source: str | None = None
target: str | None = None
relation: str | None = None
label: str | None = None
chain_id: str | None = None
hop: int | None = None
paper_id: str | None = None
pmid: str | None = None
pmcid: str | None = None
doi: str | None = None
class GraphHop(BaseModel):
model_config = ConfigDict(extra="ignore")
source: str | None = None
target: str | None = None
relation: str | None = None
source_type: str | None = None
target_type: str | None = None
paper_id: str | None = None
pmid: str | None = None
pmcid: str | None = None
doi: str | None = None
class GraphChain(BaseModel):
model_config = ConfigDict(extra="ignore")
chain_id: str | None = None
hops: list[GraphHop] = Field(default_factory=list)
class GraphData(BaseModel):
"""消息内 graph 块与 /api/kg/neighborhood 共用的 {nodes,edges,chains} 形态。"""
model_config = ConfigDict(extra="ignore")
nodes: list[GraphNode] = Field(default_factory=list)
edges: list[GraphEdge] = Field(default_factory=list)
chains: list[GraphChain] = Field(default_factory=list)
# ---------------------------------------------------------------------------
# §5 会话与消息
# ---------------------------------------------------------------------------
class SessionMeta(BaseModel):
title_manual: bool = False
class SessionCreate(BaseModel):
title: str = "新会话"
def normalized_title(self) -> str:
return self.title.strip() or "新会话"
class SessionPatch(BaseModel):
title: str | None = None
status: Literal["running", "done", "error", "idle"] | None = None
class SessionOut(BaseModel):
model_config = ConfigDict(extra="ignore")
id: str
title: str
status: str = "idle"
created_at: str = Field(default_factory=utcnow_iso)
updated_at: str = Field(default_factory=utcnow_iso)
message_count: int = 0
meta: SessionMeta = Field(default_factory=SessionMeta)
class SessionDetail(SessionOut):
messages: list["MessageOut"] = Field(default_factory=list)
class MessageCreate(BaseModel):
role: Literal["user", "assistant"]
text: str | None = None
kind: str = "qa"
status: str = "done"
blocks: list[Block] = Field(default_factory=list)
class MessagePatch(BaseModel):
"""流式检查点局部更新（PATCH /messages/{mid}）。"""
status: str | None = None
blocks: list[Block] | None = None
raw: dict[str, Any] | None = None
class MessageOut(BaseModel):
model_config = ConfigDict(extra="ignore")
id: str
role: str
kind: str = "qa"
status: str = "done"
blocks: list[Block] = Field(default_factory=list)
raw: dict[str, Any] | None = None
text: str | None = None
created_at: str = Field(default_factory=utcnow_iso)
updated_at: str = Field(default_factory=utcnow_iso)
# ---------------------------------------------------------------------------
# §1 错误信封
# ---------------------------------------------------------------------------
class ErrorBody(BaseModel):
code: str
message: str
degraded: bool = False
class ErrorEnvelope(BaseModel):
ok: Literal[False] = False
error: ErrorBody
backend/app/services/__init__.py
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backend/app/services/extraction.py
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"""services/extraction.py —— 抽取任务上游代理（8000 主 + 7900 回落，API.md §10）。
- 默认 `RAG_BASE_URL`（http://127.0.0.1:8000），每次请求失败回落
`RAG_ALT_BASE_URL`（http://127.0.0.1:7900）。
- 回落失败状态不缓存超过 30s。
- progress_pct 由 BFF 按 stage 派生：queued=5 / mineru=35 / llm=75 /
completed=100 / failed=null（上游没有进度数值字段）。
"""
from __future__ import annotations
import logging
import os
import tempfile
import time
from typing import Any, AsyncIterator
import anyio
import httpx
logger = logging.getLogger(__name__)
_UPSTREAM_PREFIX = "/api/v1/methodology"
_DEFAULT_PRIMARY = "http://127.0.0.1:8000"
_DEFAULT_ALT = "http://127.0.0.1:7900"
PRIMARY_BASE_URL = os.environ.get("RAG_BASE_URL", _DEFAULT_PRIMARY)
ALT_BASE_URL = os.environ.get("RAG_ALT_BASE_URL", _DEFAULT_ALT)
# 回落失败状态缓存上限（API.md §10：不缓存失败状态超过 30s）
ALT_FAILURE_TTL = 30.0
# 超时阶梯（API.md §10）
READ_TIMEOUT = 30.0
UPLOAD_READ_TIMEOUT = 600.0
# 上传限制（FR-EXTRACT-004）
MAX_PDF_BYTES = 50 * 1024 * 1024 # 50MB
_SPOOL_MAX_MEMORY = 5 * 1024 * 1024 # spool 驻内存上限，超出落临时文件
_UPLOAD_ROUTE = "/extract-upload"
# 上游成功上传形态：{success, job_id, status_url}；message 由 BFF 附加
_SUCCESS_UPLOAD_MESSAGE = "已提交抽取任务"
_PROGRESS_BY_STAGE: dict[str, int | None] = {
"queued": 5,
"mineru": 35,
"llm": 75,
"completed": 100,
"failed": None,
}
def derive_progress_pct(stage: str | None) -> int | None:
"""按 stage 派生 progress_pct（API.md §10）。未知 stage 返回 None。"""
return _PROGRESS_BY_STAGE.get(stage if stage is not None else "")
class ExtractionUnavailable(Exception):
"""两个抽取上游（8000 + 7900）均不可达。"""
def __init__(self, message: str, *, cause: BaseException | None = None) -> None:
super().__init__(message)
self.cause = cause
class ExtractionUpstreamError(Exception):
"""两个上游均可连通但都返回了错误（5xx，如 MinerU 不可用）。"""
def __init__(self, message: str) -> None:
super().__init__(message)
class ExtractionService:
"""每次请求先打 primary（8000）；连接失败时回落 alt（7900）。
失败回落状态记 `_alt_dead_until` 时间戳（30s 内不再试 alt），
任何 alt 成功都会清掉该状态。
"""
def __init__(
self,
primary_base_url: str = PRIMARY_BASE_URL,
alt_base_url: str = ALT_BASE_URL,
) -> None:
self._primary = primary_base_url.rstrip("/")
self._alt = alt_base_url.rstrip("/")
self._alt_dead_until: float = 0.0
self._client: httpx.AsyncClient | None = None
@property
def client(self) -> httpx.AsyncClient:
if self._client is None:
self._client = httpx.AsyncClient(
timeout=httpx.Timeout(READ_TIMEOUT, connect=3.0)
)
return self._client
async def close(self) -> None:
if self._client is not None:
await self._client.aclose()
self._client = None
# ---------- 回落机制 ----------
def _alt_usable(self) -> bool:
return time.monotonic() >= self._alt_dead_until
def _mark_alt_dead(self) -> None:
self._alt_dead_until = time.monotonic() + ALT_FAILURE_TTL
def _mark_alt_alive(self) -> None:
self._alt_dead_until = 0.0
async def _request(
self,
path: str,
*,
method: str = "GET",
read_timeout: float = READ_TIMEOUT,
**kwargs: Any,
) -> httpx.Response:
"""primary → alt 回落。连接失败回落 alt；5xx 时也回落 alt，
两个上游都 5xx 则抛 ExtractionUpstreamError（含最后一个 5xx 响应）。
"""
client = self.client
primary_failed: Exception | None = None
primary_status: int | None = None
try:
resp = await client.request(
method,
f"{self._primary}{_UPSTREAM_PREFIX}{path}",
timeout=httpx.Timeout(read_timeout, connect=3.0),
**kwargs,
)
if resp.status_code < 500:
return resp
primary_status = resp.status_code
primary_failed = RuntimeError(f"primary 返回 {resp.status_code}")
except (httpx.HTTPError, httpx.TimeoutException) as exc:
primary_failed = exc
# ---- 回落 alt ----
if not self._alt_usable():
raise ExtractionUnavailable(
"抽取服务（8000）不可用，且 7900 最近不可用，稍后自动重试",
cause=primary_failed,
)
try:
resp = await client.request(
method,
f"{self._alt}{_UPSTREAM_PREFIX}{path}",
timeout=httpx.Timeout(read_timeout, connect=3.0),
**kwargs,
)
if resp.status_code < 500:
self._mark_alt_alive()
return resp
self._mark_alt_dead()
raise ExtractionUpstreamError(
f"两个抽取上游均返回错误：8000 状态 {primary_status}，"
f"7900 状态 {resp.status_code}"
)
except (httpx.HTTPError, httpx.TimeoutException) as exc:
self._mark_alt_dead()
raise ExtractionUnavailable(
"抽取服务不可用（8000 与 7900 均不可达）",
cause=exc,
) from exc
# ---------- 归一化 ----------
@staticmethod
def normalize_job(item: dict[str, Any]) -> dict[str, Any]:
"""列表 item 归一化（API.md §10 列表形态）。
title = source_filename 优先 → paper_id → job_id。
"""
job_id = item.get("job_id")
title = item.get("source_filename") or item.get("paper_id") or job_id
stage = item.get("stage")
return {
"job_id": job_id,
"title": title,
"status": item.get("status"),
"stage": stage,
"substage": item.get("substage"),
"progress_pct": derive_progress_pct(stage),
"message": item.get("message"),
"paper_id": item.get("paper_id"),
"family": item.get("family"),
"source_filename": item.get("source_filename"),
"stage_count": item.get("stage_count"),
"species_count": item.get("species_count"),
"figure_table_caption_count": item.get("figure_table_caption_count"),
"figure_table_stage_count": item.get("figure_table_stage_count"),
"updated_at": item.get("updated_at"),
"config_url": item.get("config_url"),
"methodology_plan_url": item.get("methodology_plan_url"),
}
# ---------- 业务操作 ----------
async def list_jobs(self, limit: int = 20) -> dict[str, Any]:
"""GET /extract-jobs（可带 ?limit=，默认 20）。"""
resp = await self._request(f"/extract-jobs?limit={limit}")
payload = resp.json()
return {
"jobs": [self.normalize_job(item) for item in payload.get("jobs", [])],
"count": len(payload.get("jobs", [])),
}
async def get_job(self, job_id: str) -> dict[str, Any]:
"""GET /extract-jobs/{id}：扁平详情归一化（API.md §10）。
plan：completed 时请求 /plan；未完成时上游 409 → 置 null 不报错。
"""
resp = await self._request(f"/extract-jobs/{job_id}")
item = resp.json()
status = item.get("status")
stage = item.get("stage")
job_id_val = item.get("job_id") or job_id
title = (
item.get("source_filename")
or item.get("paper_id")
or job_id_val
)
plan: dict[str, Any] | None = None
if status == "completed":
try:
plan_resp = await self._request(f"/extract-jobs/{job_id}/plan")
except ExtractionUnavailable as exc:
logger.warning(
"extraction: job %s 的 plan 请求失败（上游不可用）：%s", job_id, exc
)
else:
if plan_resp.status_code == 409:
# 上游认为未完成（与扁平详情不一致），契约要求置 null 不报错
plan = None
else:
plan = plan_resp.json()
return {
"job_id": job_id_val,
"title": title,
"status": status,
"stage": stage,
"progress_pct": derive_progress_pct(stage),
"message": item.get("message"),
"paper_id": item.get("paper_id"),
"family": item.get("family"),
"stats": {
"stage_count": item.get("stage_count"),
"species_count": item.get("species_count"),
"figure_table_caption_count": item.get("figure_table_caption_count"),
"figure_table_stage_count": item.get("figure_table_stage_count"),
},
"detail": item,
"plan": plan,
}
async def _passthrough(self, path: str) -> dict[str, Any]:
"""processing-status / progress / summary / run-log：JSON 透传。
上游 404 视为空数据（rows 为空属正常现象，前端显示空态）。
"""
resp = await self._request(path)
return resp.json()
async def upload(
self,
*,
filename: str,
stream: AsyncIterator[bytes] | bytes,
content_type: str | None,
paper_id: str = "uploaded_paper",
family: str = "",
output_name: str = "",
) -> dict[str, Any]:
"""POST /extract-upload：multipart 转发（内存有界）。
httpx 的 multipart 编码只接受同步 file-like/bytes，异步流会先
spool 进 SpooledTemporaryFile（≤5MB 驻内存，超出落磁盘），
因此不会整文件读进内存。
返回上游形态 + message:"已提交抽取任务"。
"""
created = not isinstance(stream, (bytes, bytearray))
if created:
spooled: Any = tempfile.SpooledTemporaryFile(max_size=_SPOOL_MAX_MEMORY)
else:
spooled = stream
try:
if created:
async for chunk in stream:
await anyio.to_thread.run_sync(spooled.write, chunk)
spooled.seek(0)
resp = await self._request(
_UPLOAD_ROUTE,
method="POST",
read_timeout=UPLOAD_READ_TIMEOUT,
data={
"paper_id": paper_id,
"family": family,
"output_name": output_name,
},
files={"file": (filename, spooled, content_type)},
)
finally:
if created:
spooled.close()
payload = resp.json()
payload["message"] = _SUCCESS_UPLOAD_MESSAGE
return payload
# 模块级单例：路由层共享（app 关闭时 close）。
service = ExtractionService()
async def close_extraction() -> None:
"""app shutdown 钩子。"""
await service.close()
backend/app/services/neo4j.py
+646
View File
@@ -0,0 +1,646 @@
"""services/neo4j.py —— Neo4j Bolt 直连（官方 neo4j 驱动，全异步）。
选型与凭据依据 DISCOVERY.md §2：
- 首选 neo4j-plant-srt-direct-v1-full（bolt 127.0.0.1:18788，db `neo4j`，
用户 neo4j / 密码在 backend/.env），schema canonical，QA 7920 生产使用。
- 回退 neo4j-plant-srt-pc2025-v3-20260817-normalized（bolt 127.0.0.1:19788），
schema 不同（Entity/ASSERTS），本波未做 Cypher 适配（TODO）。
- 再次 plantai-protected-neo4j-1（bolt 127.0.0.1:17687），空库。
所有本模块异常统一抛 :class:`Neo4jUnavailable`，由路由层转 503 降级信封。
凭据只存在于本文件（或 env 覆盖），绝不下发浏览器。
"""
from __future__ import annotations
import asyncio
import logging
import os
import time
from typing import Any
from neo4j import AsyncDriver, AsyncGraphDatabase, exceptions as neo4j_exc
logger = logging.getLogger(__name__)
# 可选 env 覆盖（测试/部署）；未设置时使用 DISCOVERY.md 实测凭据。
_ENV_PREFIX = "BFF_NEO4J_"
PROBE_CACHE_TTL = 5.0
# 连接/查询超时（秒）。entity 详情与一跳邻域走全量属性，超时给得宽些。
CONNECT_TIMEOUT = 3.0
QUERY_TIMEOUT = 10.0
NEIGHBORHOOD_QUERY_TIMEOUT = 30.0
OVERVIEW_QUERY_TIMEOUT = 60.0 # 2026-08-25 PM 修复：1644 万边 COUNT 聚合冷缓存 >10s
NAME_INDEX = "srt2_canonical_entity_name_norm"
FULLTEXT_INDEX = None # DISCOVERY.md §2：任何实例都不存在全文索引，且不得创建
# status 展示名（须与 API.md §6 fixture 一致）
DIRECT_ACTIVE_NAME = "neo4j-plant-srt-direct-v1-full"
NORMALIZED_ACTIVE_NAME = "neo4j-plant-srt-pc2025-v3-20260817-normalized"
PROTECTED_ACTIVE_NAME = "plantai-protected-neo4j-1"
_CANONICAL_LABELS = ["SRT2CanonicalEntity", "SRT2CanonicalAssertion", "SRT2Paper"]
_CANONICAL_REL_TYPES = ["SRT2_CANONICAL_ASSERTS", "SRT2_SUPPORTED_BY"]
class Neo4jUnavailable(Exception):
"""Neo4j 上游不可用（连接失败/认证失败/超时/Cypher 错误统一转此异常）。"""
def __init__(self, message: str, *, cause: BaseException | None = None) -> None:
super().__init__(message)
self.cause = cause
class _Instance:
"""一个候选实例。本波只实现 canonical schema（direct 实例）的 Cypher。"""
__slots__ = ("name", "uri", "auth", "database", "schema", "label", "rel")
def __init__(
self,
name: str,
uri: str,
user: str,
password: str,
database: str,
schema: str,
label: str | None,
rel: str | None,
) -> None:
self.name = name
self.uri = uri
self.auth = (user, password)
self.database = database
self.schema = schema
self.label = label
self.rel = rel
def _env(name: str, default: str) -> str:
return os.environ.get(f"{_ENV_PREFIX}{name}", default)
_INSTANCES: list[_Instance] = [
_Instance(
DIRECT_ACTIVE_NAME,
_env("URI_DIRECT", "bolt://127.0.0.1:18788"),
"neo4j",
_env("PASSWORD_DIRECT", ""),
"neo4j",
"canonical",
"SRT2CanonicalEntity",
"SRT2_CANONICAL_ASSERTS",
),
_Instance(
NORMALIZED_ACTIVE_NAME,
_env("URI_NORMALIZED", "bolt://127.0.0.1:19788"),
"neo4j",
_env("PASSWORD_NORMALIZED", ""),
"neo4j",
"normalized",
None,
None,
),
_Instance(
PROTECTED_ACTIVE_NAME,
_env("URI_PROTECTED", "bolt://127.0.0.1:17687"),
"neo4j",
_env("PASSWORD_PROTECTED", ""),
"neo4j",
"empty",
None,
None,
),
]
class Neo4jService:
"""生命周期：app 启动时 create，关闭时 close()。health 路由与 kg 路由共用。
内部为每个候选实例缓存一个 AsyncDriver（懒建）。实例选择只发生在
显式调用 select()（probe/kg_status）或模块加载时：每个请求的处理函数
首先调用 select()，得到当前实例（未探测时默认首选，惰性回退）。
切换由下一次显式 probe 触发，探测结果缓存 5s。
"""
def __init__(self, instances: list[_Instance] | None = None) -> None:
self._instances = instances if instances is not None else _INSTANCES
self._drivers: dict[str, AsyncDriver] = {}
self._active: _Instance = self._instances[0]
self._selected = False # 是否已成功选出一个实例
self._last_probe: float = 0.0
self._last_probe_ok: bool = False
self._lock = asyncio.Lock()
# ---------- 生命周期 ----------
async def close(self) -> None:
for driver in self._drivers.values():
await driver.close()
self._drivers.clear()
def _driver_for(self, instance: _Instance) -> AsyncDriver:
driver = self._drivers.get(instance.name)
if driver is None:
driver = AsyncGraphDatabase.driver(
instance.uri,
auth=instance.auth,
connection_timeout=CONNECT_TIMEOUT,
connection_acquisition_timeout=CONNECT_TIMEOUT,
)
self._drivers[instance.name] = driver
return driver
# ---------- 实例选择 ----------
async def select(self) -> _Instance:
"""返回当前可用实例。
顺序探测（5s 结果缓存）：direct → normalized → protected。
首次调用若未探测成功则依次尝试探测，全失败抛 Neo4jUnavailable。
"""
if self._selected:
return self._active
now = time.monotonic()
if now - self._last_probe < PROBE_CACHE_TTL:
if self._last_probe_ok:
return self._active
# 探测失败结果同样缓存 5s，避免每个请求都打 3 个实例
raise Neo4jUnavailable("Neo4j 不可用（最近探测失败，结果缓存 5s）")
await self._probe()
if self._selected:
return self._active
raise Neo4jUnavailable("所有 Neo4j 候选实例均不可达")
async def _probe(self) -> None:
async with self._lock:
now = time.monotonic()
if now - self._last_probe < PROBE_CACHE_TTL:
if not self._last_probe_ok:
raise Neo4jUnavailable("Neo4j 不可用（最近探测失败，结果缓存 5s）")
return
self._selected = False
last_error: BaseException | None = None
for instance in self._instances:
try:
await self._check_instance(instance)
except Neo4jUnavailable as exc:
last_error = exc
continue
self._active = instance
self._selected = True
break
self._last_probe = now
self._last_probe_ok = self._selected
if not self._selected:
raise Neo4jUnavailable(
f"所有 Neo4j 候选实例均不可达：{last_error}", cause=last_error
)
async def _check_instance(self, instance: _Instance) -> None:
"""连通性检查：TCP 预检 + `RETURN 1`，整体限时 CONNECT_TIMEOUT。
先做 TCP 连通预检（毫秒级）：端口没开时直接判死，避免官方驱动
的指数退避重试拖慢健康探测。TCP 通但 Bolt 协议失败时才走
wait_for + 驱动（仍限时 3s）。
"""
if not await self._tcp_reachable(instance.uri):
raise Neo4jUnavailable(f"{instance.name} 连接失败（TCP 不可达）")
driver = self._driver_for(instance)
try:
await asyncio.wait_for(
driver.execute_query(
"RETURN 1 AS x", database_=instance.database, routing_="r"
),
timeout=CONNECT_TIMEOUT,
)
except asyncio.TimeoutError as exc:
raise Neo4jUnavailable(f"{instance.name} 连接超时", cause=exc) from exc
except neo4j_exc.DriverError as exc:
raise Neo4jUnavailable(
f"{instance.name} 连接失败：{exc.__class__.__name__}", cause=exc
) from exc
@staticmethod
async def _tcp_reachable(uri: str) -> bool:
"""bolt://host:port 的 TCP 连通预检（超时 0.5s）。"""
try:
host, port = uri.split("://", 1)[1].rsplit(":", 1)
except (ValueError, IndexError):
return False
try:
reader, writer = await asyncio.wait_for(
asyncio.open_connection(host, int(port)), timeout=0.5
)
except (OSError, asyncio.TimeoutError, ValueError):
return False
writer.close()
try:
await writer.wait_closed()
except (OSError, AttributeError):
pass
return True
# ---------- 通用查询 ----------
async def _query(
self,
cypher: str,
params: dict[str, Any] | None = None,
*,
timeout: float = QUERY_TIMEOUT,
) -> list[dict[str, Any]]:
"""按当前实例执行查询，返回 records 列表（每条为 dict）。"""
instance = await self.select()
driver = self._driver_for(instance)
try:
records, _, _ = await asyncio.wait_for(
driver.execute_query(
cypher,
parameters_=params or {},
database_=instance.database,
routing_="r",
),
timeout=timeout,
)
except asyncio.TimeoutError as exc:
raise Neo4jUnavailable(
f"Neo4j 查询超时（>{timeout}s）", cause=exc
) from exc
except neo4j_exc.DriverError as exc:
raise Neo4jUnavailable(
f"Neo4j 查询失败：{exc.__class__.__name__}", cause=exc
) from exc
return [dict(record) for record in records]
@staticmethod
def _canonical(instance: _Instance) -> _Instance:
"""当前仅 canonical schema 的 Cypher 就绪。"""
if instance.schema != "canonical":
# TODO(A3)：normalized 实例（Entity/ASSERTS，无 name_norm 索引，
# 等值 6.81s）与空库实例的 Cypher 适配层，需 PM 决策后实现。
raise Neo4jUnavailable(
f"Neo4j 实例 {instance.name} 已连通，但其 schema（{instance.schema}）"
"的 Cypher 适配尚未实现，暂不可用于图谱查询"
)
return instance
# ---------- 健康探测 ----------
async def probe(self) -> dict[str, Any]:
"""连通 + 计数 + 索引检查（/api/health 调用），结果缓存 5s。
返回 {"ok": bool, "active": str|null, "detail": str|null}，
主动探测时即使失败也返回 dict（health 聚合不因此抛错）。
"""
now = time.monotonic()
if now - self._last_probe < PROBE_CACHE_TTL and self._last_probe_ok:
return {"ok": True, "active": self._active.name, "detail": None}
try:
await self._probe()
except Neo4jUnavailable as exc:
return {"ok": False, "active": None, "detail": str(exc)}
instance = self._active
detail: str | None = None
if instance.schema == "canonical":
try:
counts = await self._counts(instance)
indexes = await self._name_indexes(instance)
# 成员判断而非全等：同一标签上存在唯一约束索引等其它索引是正常
# 现象（DISCOVERY §2.2 实测有 srt2_canonical_entity_id），
# 只有 name_norm 索引真正不在列表里才报缺失。
if NAME_INDEX not in indexes:
detail = f"name_norm 索引缺失：{indexes or '(无任何索引)'}"
except Neo4jUnavailable as exc:
# 连通了但计数/索引检查失败：不视为整体失败，附 detail
detail = f"计数/索引检查失败：{exc}"
return {"ok": True, "active": instance.name, "detail": detail}
async def _counts(self, instance: _Instance) -> dict[str, int]:
rows = await self._query(
"""
CALL {
MATCH (e:SRT2CanonicalEntity) RETURN count(e) AS entity_count
}
CALL {
MATCH (a:SRT2CanonicalAssertion) RETURN count(a) AS assertion_count
}
RETURN entity_count, assertion_count
""",
timeout=QUERY_TIMEOUT,
)
row = rows[0] if rows else {}
return {
"entity_count": row.get("entity_count", 0),
"assertion_count": row.get("assertion_count", 0),
}
async def _name_indexes(self, instance: _Instance) -> list[str]:
"""该实体标签上的所有索引名（含约束索引），滤掉空名。
SHOW INDEXES 的 labelsOrTypes 可以是字符串或字符串列表，用
`ANY(x IN labelsOrTypes WHERE x = $label)` 兼容两者。
"""
rows = await self._query(
"SHOW INDEXES YIELD name, labelsOrTypes "
"WHERE ANY(x IN labelsOrTypes WHERE x = $label) "
"RETURN name",
{"label": instance.label},
timeout=QUERY_TIMEOUT,
)
return [r["name"] for r in rows if r.get("name")]
# ---------- /api/kg/status ----------
async def kg_status(self) -> dict[str, Any]:
"""labels / relationship_types / entity_count / assertion_count /
name_index / fulltext_index（null，实例无全文索引）。"""
instance = self._canonical(await self.select())
counts = await self._counts(instance)
indexes = await self._name_indexes(instance)
name_index = NAME_INDEX if NAME_INDEX in indexes else None
return {
"ok": True,
"active": instance.name,
"schema": instance.schema,
"labels": _CANONICAL_LABELS,
"relationship_types": _CANONICAL_REL_TYPES,
"entity_count": counts["entity_count"],
"assertion_count": counts["assertion_count"],
"name_index": name_index,
"fulltext_index": FULLTEXT_INDEX,
}
# ---------- /api/kg/overview ----------
async def kg_overview(self) -> dict[str, Any]:
"""按 entity_type 与 relation_category 计数。
注意 1644 万边：只做 COUNT 聚合，绝不拉取全量边。
"""
self._canonical(await self.select())
rows = await self._query(
"""
MATCH (e:SRT2CanonicalEntity)
WITH e.entity_type AS t, count(*) AS c
WHERE t IS NOT NULL
RETURN t AS type, c AS count
ORDER BY c DESC, t ASC
LIMIT 200
""",
timeout=OVERVIEW_QUERY_TIMEOUT,
)
entities = [{"type": r["type"], "count": r["count"]} for r in rows]
# 关系类别取自边上的 relation_category（属于关系属性，不在边集合里拉边）
rows = await self._query(
"""
MATCH ()-[r:SRT2_CANONICAL_ASSERTS]->()
WITH r.relation_category AS cat, count(*) AS c
WHERE cat IS NOT NULL
RETURN cat AS type, c AS count
ORDER BY c DESC, cat ASC
LIMIT 200
""",
timeout=OVERVIEW_QUERY_TIMEOUT,
)
relations = [{"type": r["type"], "count": r["count"]} for r in rows]
return {
"entities_by_type": entities,
"relations_by_category": relations,
}
# ---------- /api/kg/entities ----------
async def search_entities(
self, q: str, limit: int = 20
) -> list[dict[str, Any]]:
"""DISCOVERY.md §2.4 Cypher (a)：name_norm = 或 STARTS WITH（toLower 归一化）。
走 name_norm RANGE 索引（实测 0.09-0.10s）。结果按 name ASC 排序保证稳定。
返回 [{id, name, type, support_count}]。
"""
self._canonical(await self.select())
limit = min(max(int(limit), 1), 20)
q_norm = q.lower()
rows = await self._query(
"""
MATCH (e:SRT2CanonicalEntity)
WHERE e.name_norm = $q_norm OR e.name_norm STARTS WITH $q_norm
RETURN e.canonical_id AS canonical_id, e.name AS name,
e.entity_type AS entity_type, e.support_count AS support_count
ORDER BY e.name ASC
LIMIT $limit
""",
{"q_norm": q_norm, "limit": limit},
timeout=QUERY_TIMEOUT,
)
return [
{
"id": r.get("canonical_id"),
"name": r.get("name"),
"type": r.get("entity_type"),
"support_count": r.get("support_count"),
}
for r in rows
]
async def _resolve_id(self, id_or_name: str) -> str | None:
"""canonical_id 或 name_norm 定位（DISCOVERY.md §2.4 Cypher b）。"""
if id_or_name.startswith("cent_"):
rows = await self._query(
"MATCH (e:SRT2CanonicalEntity {canonical_id: $id}) "
"RETURN e.canonical_id AS canonical_id",
{"id": id_or_name},
timeout=QUERY_TIMEOUT,
)
else:
rows = await self._query(
"MATCH (e:SRT2CanonicalEntity {name_norm: $name_norm}) "
"RETURN e.canonical_id AS canonical_id LIMIT 5",
{"name_norm": id_or_name.lower()},
timeout=QUERY_TIMEOUT,
)
return rows[0].get("canonical_id") if rows else None
# ---------- /api/kg/entities/{id} ----------
async def entity(self, id_or_name: str) -> dict[str, Any] | None:
"""按 canonical_id 或 name_norm 取实体全量属性；未命中返回 None。"""
canonical_id = await self._resolve_id(id_or_name)
if canonical_id is None:
return None
rows = await self._query(
"MATCH (e:SRT2CanonicalEntity {canonical_id: $id}) "
"RETURN e {.*} AS node",
{"id": canonical_id},
timeout=QUERY_TIMEOUT,
)
if not rows:
return None
props = rows[0].get("node") or {}
return {
"id": props.get("canonical_id"),
"name": props.get("name"),
"type": props.get("entity_type"),
"properties": props,
}
# ---------- /api/kg/entities/{id}/neighborhood ----------
async def neighborhood(
self, id_or_name: str, depth: int = 1, limit: int = 200
) -> dict[str, Any]:
"""有界邻域扩展（DISCOVERY.md §2.4 Cypher (c) 思路）。
- depth ∈ {1,2}，默认 1；limit ≤ 200。
- 每跳按 paper_count/support_count 降序截断（防 hub 吃满预算）。
- OPTIONAL MATCH 保证孤立节点不丢。
- 无向匹配（-()-），entity 按 canonical_id 去重。
- depth=1 绝不执行第二跳（两跳实测约 13s，不默认开启）。
- 返回 API.md §6 的 {center, center_name, depth, nodes, edges}。
"""
self._canonical(await self.select()) # 非 canonical 实例在此抛 Neo4jUnavailable
depth = depth if depth in (1, 2) else 1
limit = min(max(int(limit), 1), 200)
canonical_id = await self._resolve_id(id_or_name)
if canonical_id is None:
return {"center": None, "center_name": None, "depth": depth, "nodes": [], "edges": []}
params = {"seed": canonical_id, "max_nodes": limit, "max_edges": limit}
if depth == 1:
cypher = """
MATCH (s:SRT2CanonicalEntity {canonical_id: $seed})
OPTIONAL MATCH (s)-[r1:SRT2_CANONICAL_ASSERTS]-(n1:SRT2CanonicalEntity)
WITH s, r1, n1
ORDER BY coalesce(r1.paper_count, 0) DESC, coalesce(r1.support_count, 0) DESC
WITH s,
collect(DISTINCT n1)[..$max_nodes] AS level1,
[r IN collect(DISTINCT r1)[..$max_edges] | r {.*,
source_canonical_id: CASE WHEN startNode(r).canonical_id = s.canonical_id
THEN s.canonical_id ELSE endNode(r).canonical_id END,
target_canonical_id: CASE WHEN startNode(r).canonical_id = s.canonical_id
THEN endNode(r).canonical_id ELSE s.canonical_id END}] AS edges1
RETURN s {.*} AS start,
[n IN level1 | n {.*}] AS nodes,
edges1 AS edges
"""
else:
cypher = """
MATCH (s:SRT2CanonicalEntity {canonical_id: $seed})
OPTIONAL MATCH (s)-[r1:SRT2_CANONICAL_ASSERTS]-(n1:SRT2CanonicalEntity)
WITH s, r1, n1
ORDER BY coalesce(r1.paper_count, 0) DESC, coalesce(r1.support_count, 0) DESC
WITH s,
collect(DISTINCT n1)[..$max_nodes] AS level1,
[r IN collect(DISTINCT r1)[..$max_edges] | r {.*,
source_canonical_id: CASE WHEN startNode(r).canonical_id = s.canonical_id
THEN s.canonical_id ELSE endNode(r).canonical_id END,
target_canonical_id: CASE WHEN startNode(r).canonical_id = s.canonical_id
THEN endNode(r).canonical_id ELSE s.canonical_id END}] AS edges1
OPTIONAL MATCH (n1)-[r2:SRT2_CANONICAL_ASSERTS]-(n2:SRT2CanonicalEntity)
WHERE n1 IN level1
WITH s, level1, edges1, r2, n2
ORDER BY coalesce(r2.paper_count, 0) DESC, coalesce(r2.support_count, 0) DESC
WITH s, level1, edges1,
collect(DISTINCT n2)[..$max_nodes] AS level2,
[r IN collect(DISTINCT r2)[..$max_edges] | r {.*,
source_canonical_id: startNode(r).canonical_id,
target_canonical_id: endNode(r).canonical_id}] AS edges2
RETURN s {.*} AS start,
[n IN (level1 + level2) | n {.*}] AS nodes,
(edges1 + edges2) AS edges
"""
rows = await self._query(
cypher, params, timeout=NEIGHBORHOOD_QUERY_TIMEOUT
)
if not rows:
return {"center": None, "center_name": None, "depth": depth, "nodes": [], "edges": []}
row = rows[0]
start = row.get("start") or {}
node_list: list[dict[str, Any]] = [
{
"id": start.get("canonical_id"),
"label": start.get("name"),
"type": start.get("entity_type"),
}
]
node_index: dict[str, int] = {}
if start.get("canonical_id") is not None:
node_index[start["canonical_id"]] = 0
for raw in row.get("nodes") or []:
nid = raw.get("canonical_id")
if nid is None or nid in node_index:
continue
node_index[nid] = len(node_list)
node_list.append(
{
"id": nid,
"label": raw.get("name"),
"type": raw.get("entity_type"),
}
)
edges: list[dict[str, Any]] = []
for raw in row.get("edges") or []:
src = raw.get("source_canonical_id")
tgt = raw.get("target_canonical_id")
if src is None or tgt is None:
continue
if src not in node_index or tgt not in node_index:
continue
# 自环边（实体自身关系，如 gene_structure）对可视化无意义，过滤
if src == tgt:
continue
edges.append(
{
"source": src,
"target": tgt,
"relation": raw.get("relation_category")
if raw.get("relation_category") is not None
else raw.get("relation_norm"),
"label": raw.get("relation_category")
if raw.get("relation_category") is not None
else raw.get("relation_norm"),
"assertion_id": raw.get("assertion_id"),
"paper_count": raw.get("paper_count"),
"support_count": raw.get("support_count"),
"title": raw.get("title"),
"doi": raw.get("doi"),
"pmid": raw.get("pmid"),
"chain_id": None,
"hop": None,
}
)
return {
"center": start.get("canonical_id"),
"center_name": start.get("name"),
"depth": depth,
"nodes": node_list,
"edges": edges,
}
# ---------- 调试/冒烟 ----------
async def raw_query(self, cypher: str, **params: Any) -> list[dict[str, Any]]:
"""只读原始查询（冒烟测试用）。"""
return await self._query(cypher, params, timeout=QUERY_TIMEOUT)
# 模块级单例：health 路由与 kg 路由共用同一连接池（app 关闭时 close）。
service = Neo4jService()
async def close_neo4j() -> None:
"""app shutdown 钩子。"""
await service.close()
async def probe_neo4j() -> dict[str, Any]:
"""/api/health 用的探测（不抛错）。"""
return await service.probe()
backend/app/services/normalize.py
+268
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@@ -0,0 +1,268 @@
"""normalize.py —— 上游响应 → 契约形态的归一化器（API.md §7/§8/§9）。
真实上游键以 DISCOVERY.md §4.1 为准；别名规则按 API.md 逐条实现。
本模块是纯函数集合（不发起 IO），供 qa 路由（A2）与测试共用。
"""
from __future__ import annotations
from typing import Any
def pick(obj: dict, *names: str, default=None):
"""取第一个存在且非 None 的键（归一化核心工具）。保留 PM 脚手架语义。"""
for n in names:
if isinstance(obj, dict) and n in obj and obj[n] is not None:
return obj[n]
return default
# ---------------------------------------------------------------------------
# §8 Source 归一化（缺失字段键必须存在，值为 null）
# ---------------------------------------------------------------------------
def normalize_source(item: dict[str, Any] | None) -> dict[str, Any]:
"""单个 source item → API.md §8 形态（所有键存在，缺失为 null）。
别名映射（按 API.md §8 精确实现）：
- content|evidence|text|snippet → snippet
- doc_id|paper_id|pubmed_id|id|chunk_id → paper_id（chunk_id 单独保留）
- final_score|score|confidence|rerank_score → score（真实键 final_score）
- title|paper_title|source → title（真实 item 的 source 是断言主体实体名；
title 存在时优先取 title，两者并存时 source 落入 metadata.source_entity）
- url|doi_url → url；只有 doi 时派生 url = https://doi.org/{doi}
- evidence_id|id → id；relation_id|assertion_id → metadata.assertion_id
- output_layer / claim_scope / cluster_id / support_count / section /
species / vector_score / rrf_score / rerank_score / retrieval_methods /
retrieval_queries / cluster_member_* 原样透传（或进 metadata）
"""
if not isinstance(item, dict):
item = {}
source = pick(item, "source") # 断言主体实体名（上游语义）
title = pick(item, "title", "paper_title")
doi = pick(item, "doi")
url = pick(item, "url", "doi_url")
if url is None and doi:
url = f"https://doi.org/{doi}"
metadata: dict[str, Any] = {}
if isinstance(pick(item, "metadata"), dict):
metadata.update(item["metadata"])
if source is not None and title is not None and source != title:
metadata.setdefault("source_entity", source)
for key in (
"vector_score", "rrf_score", "rerank_score", "kb",
"retrieval_methods", "retrieval_queries",
"cluster_member_count", "cluster_member_assertion_ids",
"cluster_member_paper_ids", "cluster_member_pmids",
"output_layer", "claim_scope", "species",
):
if key in item and item[key] is not None:
metadata.setdefault(key, item[key])
assertion_id = pick(item, "relation_id", "assertion_id")
if assertion_id is not None:
metadata.setdefault("assertion_id", assertion_id)
return {
"id": pick(item, "evidence_id", "id"),
"title": title,
"paper_id": pick(item, "doc_id", "paper_id", "pubmed_id", "id", "chunk_id"),
"chunk_id": pick(item, "chunk_id"),
"pmid": pick(item, "pmid"),
"pmcid": pick(item, "pmcid"),
"doi": doi,
"url": url,
"snippet": pick(item, "content", "evidence", "text", "snippet"),
"score": pick(item, "final_score", "score", "confidence", "rerank_score"),
"locator": pick(item, "locator"),
"section": pick(item, "section"),
"support_count": pick(item, "support_count"),
"type": pick(item, "type"),
"metadata": metadata,
}
# ---------------------------------------------------------------------------
# §9 图谱：hop / chain / {nodes,edges,chains}
# ---------------------------------------------------------------------------
def normalize_hop(hop: dict[str, Any]) -> dict[str, Any]:
"""hop 归一化：
from_name|source → source、to_name|target → target、
from_id|source_canonical_id → source 节点 id、to_id|target_canonical_id → target 节点 id、
relation 原样、source_type|target_type → source/target 节点 type、
paper_id / pmid / pmcid / doi 透传。
"""
if not isinstance(hop, dict):
hop = {}
return {
"source": pick(hop, "from_name", "source"),
"target": pick(hop, "to_name", "target"),
"source_id": pick(hop, "from_id", "source_canonical_id"),
"target_id": pick(hop, "to_id", "target_canonical_id"),
"source_type": pick(hop, "source_type"),
"target_type": pick(hop, "target_type"),
"relation": pick(hop, "relation"),
"assertion_id": pick(hop, "assertion_id"),
"paper_id": pick(hop, "paper_id"),
"pmid": pick(hop, "pmid"),
"pmcid": pick(hop, "pmcid"),
"doi": pick(hop, "doi"),
}
def normalize_chain_item(item: dict[str, Any]) -> dict[str, Any]:
"""单个 chain item（真实形态：chain_id / hops[] 等）→ {chain_id, hops}。"""
if not isinstance(item, dict):
item = {}
hops = [normalize_hop(h) for h in item.get("hops", []) if isinstance(h, dict)]
return {"chain_id": pick(item, "chain_id"), "hops": hops}
def extract_chains(raw: dict[str, Any] | None) -> list[dict[str, Any]]:
"""从可能的两类源提取 chain 列表：
- `native_graph_chains`：列表（真实形态，305 条）
- `graph_knowledge_chains`：dict 形态 `{mode, chains[], chain_count, …}`，取 `.chains`
两种形态都要能提取出 hop 列表。
"""
if not isinstance(raw, dict):
return []
chains = pick(raw, "native_graph_chains", "graph_knowledge_chains")
if isinstance(chains, dict):
chains = chains.get("chains")
if not isinstance(chains, list):
return []
return [normalize_chain_item(c) for c in chains]
def normalize_graph(raw: dict[str, Any] | None) -> dict[str, Any]:
"""从 `knowledge_graph` / `graph_edges` / `native_graph_chains`（列表形态）/
`graph_knowledge_chains`（dict 形态）提取并归一化为 {nodes, edges, chains}。
- 节点去重（按 id；id 缺失的 hop 跳过）；label 取 from_name/to_name、type 取
source_type/target_type。
- 边携带 chain_id 与 hop 序号（hop_index 缺失时按列表序补）。
- 链保持 chain_id + hops 列表。
"""
raw = raw if isinstance(raw, dict) else {}
chains = extract_chains(raw)
nodes: dict[str, dict[str, Any]] = {}
edges: list[dict[str, Any]] = []
def add_node(node_id: Any, name: Any, typ: Any) -> None:
if not node_id:
return
key = str(node_id)
if key not in nodes:
nodes[key] = {"id": node_id, "label": name, "type": typ}
for chain in chains:
for idx, hop in enumerate(chain["hops"]):
hop_index = hop.get("hop_index")
if hop_index is None:
hop_index = idx
# 节点 id 优先 canonical id；label 优先名字，退化到 id
src_id = pick(hop, "source_id", "source") or hop.get("source")
tgt_id = pick(hop, "target_id", "target") or hop.get("target")
src_label = hop.get("source") or src_id
tgt_label = hop.get("target") or tgt_id
add_node(src_id, src_label, hop.get("source_type"))
add_node(tgt_id, tgt_label, hop.get("target_type"))
if src_id and tgt_id:
edges.append({
"source": src_id,
"target": tgt_id,
"relation": hop.get("relation"),
"label": hop.get("relation"),
"chain_id": chain.get("chain_id"),
"hop": hop_index,
"paper_id": hop.get("paper_id"),
"pmid": hop.get("pmid"),
"pmcid": hop.get("pmcid"),
"doi": hop.get("doi"),
})
# 兼容显式 {nodes, edges} 形态（knowledge_graph / graph_edges 直接给边列表时）
explicit_nodes = raw.get("nodes")
explicit_edges = raw.get("edges")
if isinstance(explicit_nodes, list):
for n in explicit_nodes:
if isinstance(n, dict) and n.get("id"):
key = str(n["id"])
if key not in nodes:
nodes[key] = {
"id": n["id"],
"label": pick(n, "label"),
"type": pick(n, "type"),
}
if isinstance(explicit_edges, list):
edges.extend(
{
"source": pick(e, "source"),
"target": pick(e, "target"),
"relation": pick(e, "relation"),
"label": pick(e, "label", "relation"),
"chain_id": pick(e, "chain_id"),
"hop": pick(e, "hop"),
"paper_id": pick(e, "paper_id"),
"pmid": pick(e, "pmid"),
"pmcid": pick(e, "pmcid"),
"doi": pick(e, "doi"),
}
for e in explicit_edges
if isinstance(e, dict)
)
return {
"nodes": list(nodes.values()),
"edges": edges,
"chains": chains,
}
# ---------------------------------------------------------------------------
# §7 归一化 QA 响应（/chat、/chat/stream complete、/search 共用）
# ---------------------------------------------------------------------------
def normalize_qa_response(raw: dict[str, Any] | None) -> dict[str, Any]:
"""上游 31 键响应 → API.md §7 形态。
别名（真实键优先）：
- answer|response|message → answer
- sources|citations → sources；used_sources|references → used_sources
- query_plan|agentic_plan|retrieval_plan → retrieval_plan（真实键 query_plan）
- retrieval_notes|notes → retrieval_notes
- timings|timing → timing（真实键 timings）
- citation_validation|citation_map → citation_map（真实键 citation_validation）
- 图谱四源 → graph + chains（见 normalize_graph）
- success 透传；raw 保存原始完整响应
"""
raw = raw if isinstance(raw, dict) else {}
sources = [normalize_source(s) for s in (pick(raw, "sources", "citations") or [])]
used_sources = [
normalize_source(s) for s in (pick(raw, "used_sources", "references") or [])
]
graph = normalize_graph(raw)
retrieval_plan = pick(raw, "query_plan", "agentic_plan", "retrieval_plan")
return {
"query_id": pick(raw, "query_id"),
"version": pick(raw, "version"),
"mode": pick(raw, "mode", default="chat"),
"answer": pick(raw, "answer", "response", "message", default=""),
"source_count": pick(raw, "source_count", default=len(sources)),
"sources": sources,
"used_sources": used_sources,
"chains": graph["chains"],
"graph": {"nodes": graph["nodes"], "edges": graph["edges"], "chains": graph["chains"]},
"retrieval_plan": retrieval_plan,
"retrieval_notes": pick(raw, "retrieval_notes", "notes"),
"timing": pick(raw, "timings", "timing"),
"citation_map": pick(raw, "citation_validation", "citation_map"),
"success": pick(raw, "success", default=True),
"raw": raw,
}
backend/app/services/sse_relay.py
+590
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"""services/sse_relay.py —— 上游 QA SSE → 前端契约帧中继（A2 归属）。
上游：127.0.0.1:7920 POST /api/v1/qa-v1-1-73/chat/stream
（真实帧序列见 DISCOVERY.md §4.2：`event: <name>` + `data: <JSON>` 两行一组，
data 可能多行，期间有 `: keepalive` 注释帧，终端为 `event: complete` + 完整 JSON。）
下游（前端契约帧，API.md §4）：
event: progress data: {stage, phase, label, details, at} ← phase 由 BFF 计算
event: complete data: {<同 /chat 的归一化响应>}
event: raw data: {<无法分类的上游 JSON>} ← 绝不丢数据
event: error data: {code, message, retryable}
event: timeout data: {message}
: ping （15s 保活注释帧）
规则：
- 上游 HTTP 头阶段失败且 detail.error_code=="invalid_llm_citation" → 自动重试一次，
仍失败 → `event: error`（INVALID_CITATION）。
- 看门狗：15s 无输出发 `: ping`；240s 无任何上游事件 → `event: timeout` 并关闭。
- 客户端断开（StreamingResponse 取消 → CancelledError 传播）→ `async with` 退出，
上游流随之关闭。
"""
from __future__ import annotations
import json
import logging
import time
from collections import deque
from datetime import datetime, timezone
from typing import Any, AsyncIterator, Callable, Optional
import anyio
import httpx
logger = logging.getLogger(__name__)
# ---------------------------------------------------------------------------
# 常量（TODO(A2→A1 对齐点)：A1 的 app.config.settings 就绪后，
# 上游地址与「超时阶梯」改由 settings 提供，此处仅作兜底默认值）
# ---------------------------------------------------------------------------
QA_BASE_URL = "http://127.0.0.1:7920"
QA_UPSTREAM_PREFIX = "/api/v1/qa-v1-1-73"
CONNECT_TIMEOUT = 10.0
STREAM_IDLE_TIMEOUT = 240.0
STREAM_KEEPALIVE_INTERVAL = 15.0
INVALID_CITATION_ERROR_CODE = "invalid_llm_citation"
# API.md §4：SSE 响应头
sse_headers = {
"Cache-Control": "no-cache",
"X-Accel-Buffering": "no",
}
# ---------------------------------------------------------------------------
# 阶段 → 相位映射（API.md §4 表；与 i18n/labels.js 同源，PM 归属）。
# 未知 stage → phase "retrieval"，label = stage 原文。
# ---------------------------------------------------------------------------
STAGE_PHASE: dict[str, str] = {
"understanding_started": "planning",
"entities_identified": "planning",
"related_search_started": "planning",
"concepts_found": "retrieval",
"subquestion_retrieved": "retrieval",
"agent_review_started": "retrieval",
"subquestion_retry_started": "retrieval",
"evidence_accepted": "evidence",
"evidence_review_completed": "evidence",
"answer_generation_started": "generation",
"completed": "done",
}
STAGE_LABEL: dict[str, str] = {
"understanding_started": "开始理解问题",
"entities_identified": "已识别实体",
"related_search_started": "开始关联检索",
"concepts_found": "发现相关概念",
"subquestion_retrieved": "子问题召回完成",
"agent_review_started": "开始智能体审核",
"subquestion_retry_started": "子问题重试中",
"evidence_accepted": "证据已采纳",
"evidence_review_completed": "证据审核完成",
"answer_generation_started": "开始生成答案",
"completed": "检索完成",
}
UNKNOWN_STAGE_PHASE = "retrieval"
def phase_for(stage: str) -> tuple[str, str]:
"""stage → (phase, label)；未知 stage 回落 retrieval / stage 原文。"""
return (
STAGE_PHASE.get(stage, UNKNOWN_STAGE_PHASE),
STAGE_LABEL.get(stage, stage),
)
# ---------------------------------------------------------------------------
# 错误文案与载荷（TODO(A2→A1 对齐点)：HTTP JSON 信封换用 app.upstream.envelope()）
# ---------------------------------------------------------------------------
ERROR_MESSAGES: dict[str, tuple[str, bool]] = {
"UPSTREAM_DOWN": ("知识问答服务当前不可用，请稍后重试", True),
"UPSTREAM_ERROR": ("知识问答服务返回错误", False),
"TIMEOUT": ("检索超时", False),
"INVALID_CITATION": ("引用校验失败，请重试", False),
"VALIDATION": ("请求参数不合法", False),
"INTERNAL": ("内部错误", False),
}
RETRYABLE_ERRORS = {"TIMEOUT", "INVALID_CITATION", "UPSTREAM_ERROR"}
def error_payload(code: str, message: Optional[str] = None) -> dict:
"""SSE `event: error` 的 data 载荷（API.md §4：{code, message, retryable}）。"""
default_message, _degraded = ERROR_MESSAGES.get(code, ("内部错误", False))
return {
"code": code,
"message": message or default_message,
"retryable": code in RETRYABLE_ERRORS,
}
def is_invalid_citation(body: Any) -> bool:
"""上游错误体 `{"detail": {"error_code": "invalid_llm_citation"}}` 判定。"""
if not isinstance(body, dict):
return False
detail = body.get("detail")
if isinstance(detail, dict):
return detail.get("error_code") == INVALID_CITATION_ERROR_CODE
return body.get("error_code") == INVALID_CITATION_ERROR_CODE
def status_to_error(status: int, detail: Any) -> tuple[str, Optional[str]]:
"""HTTP≥400 头阶段失败 → (code, message)。"""
if is_invalid_citation(detail):
return "INVALID_CITATION", None
if isinstance(detail, dict):
d = detail.get("detail")
if isinstance(d, dict):
return "UPSTREAM_ERROR", d.get("message") or d.get("error")
return "UPSTREAM_ERROR", detail.get("message") or detail.get("error")
return "UPSTREAM_ERROR", None
# ---------------------------------------------------------------------------
# 上游 client 与地址（TODO(A2→A1 对齐点)：A1 的 app.upstream client 单例 /
# settings 上游地址就绪后，以下两函数直接改为其代理）
# ---------------------------------------------------------------------------
_qa_client: Optional[httpx.AsyncClient] = None
def get_qa_client() -> httpx.AsyncClient:
"""QA 上游 httpx client。
注意（2026-08-25 PM 集成修复）：**不复用 A1 upstream 单例**。
A1 的 get_client() 是 async 函数且默认 read=300s，而 QA 流式路径
需要 read=None + 应用层看门狗（长静默 SSE 会被 300s 读超时误杀）。
两个 client 语义不同，各自独立持有。
"""
global _qa_client
if _qa_client is None or _qa_client.is_closed:
_qa_client = httpx.AsyncClient(
timeout=httpx.Timeout(connect=CONNECT_TIMEOUT, read=None, write=30.0, pool=CONNECT_TIMEOUT),
)
return _qa_client
def qa_base_url() -> str:
"""QA 上游 base URL。A1 settings 就绪后从配置读取。"""
try:
from ..config import settings # A1 归属
for attr in ("qa_base_url", "qa_url", "upstream_qa_url", "qa_upstream_base"):
value = getattr(settings, attr, None)
if value:
return str(value).rstrip("/")
except Exception:
pass
return QA_BASE_URL
# ---------------------------------------------------------------------------
# 归一化（TODO(A2→A1 对齐点)：A1 的 app.services.normalize.normalize_qa_response
# 就绪后，get_qa_normalizer 直接返回之，以下 fallback 全部删除）
# ---------------------------------------------------------------------------
def get_qa_normalizer() -> Callable[[dict], dict]:
"""QA 响应归一化函数：优先 A1 实现，未就绪时用等价本地逻辑。"""
try:
from .normalize import normalize_qa_response # A1 归属
return normalize_qa_response
except (ImportError, AttributeError):
return _fallback_normalize_qa
def _fallback_normalize_qa(payload: dict) -> dict:
"""等价本地归一化（API.md §7 顶层别名 / §8 source / §9 图谱链条双形态容错）。"""
from .normalize import pick # A1 已提供
src = payload if isinstance(payload, dict) else {}
sources = [_fallback_source(i) for i in (pick(src, "sources", "citations", default=[]) or [])]
used = [_fallback_source(i) for i in (pick(src, "used_sources", "references", default=[]) or [])]
chains, graph = _fallback_graph_chains(src)
return {
"query_id": pick(src, "query_id"),
"version": pick(src, "version"),
"mode": "chat", # 调用方（qa.py）按端点覆盖 chat|search
"answer": pick(src, "answer", "response", "message", default=""),
"source_count": pick(src, "source_count", default=len(sources)),
"sources": sources,
"used_sources": used,
"chains": chains,
"graph": graph,
"retrieval_plan": pick(src, "retrieval_plan", "agentic_plan", "query_plan"),
"retrieval_notes": pick(src, "retrieval_notes", "notes"),
"timing": pick(src, "timing", "timings"),
"citation_map": pick(src, "citation_map", "citation_validation"),
"raw": src,
}
_SOURCE_PASSTHROUGH_KEYS = (
"output_layer", "claim_scope", "cluster_id", "support_count", "section", "species",
)
_SOURCE_METADATA_KEYS = (
"vector_score", "rrf_score", "rerank_score", "relation_id", "assertion_id",
"cluster_member_count", "cluster_member_assertion_ids", "cluster_member_paper_ids",
"cluster_member_pmids", "retrieval_methods", "retrieval_queries", "kb",
)
def _fallback_source(item: Any) -> dict:
"""§8 source 别名归一化；缺失字段键必须存在（值为 null）。"""
from .normalize import pick # A1 已提供
if not isinstance(item, dict):
item = {}
doi = pick(item, "doi")
url = pick(item, "url", "doi_url")
if url is None and doi:
url = f"https://doi.org/{doi}"
title = pick(item, "title", "paper_title")
metadata: dict[str, Any] = {}
for k in _SOURCE_PASSTHROUGH_KEYS:
if k in item:
metadata[k] = item[k]
for k in _SOURCE_METADATA_KEYS:
if k in item:
metadata[k] = item[k]
if "source" in item:
# 真实 item 的 source 是断言主体实体名而非论文标题
if title is None:
title = item["source"]
else:
metadata.setdefault("source_entity", item["source"])
return {
"id": pick(item, "evidence_id", "id"),
"title": title,
"paper_id": pick(item, "paper_id", "doc_id", "pubmed_id", "id", "chunk_id"),
"chunk_id": pick(item, "chunk_id"),
"pmid": pick(item, "pmid"),
"pmcid": pick(item, "pmcid"),
"doi": doi,
"url": url,
"snippet": pick(item, "content", "evidence", "text", "snippet"),
"score": pick(item, "final_score", "score", "confidence", "rerank_score"),
"locator": pick(item, "locator"),
"section": pick(item, "section"),
"support_count": pick(item, "support_count"),
"type": pick(item, "type"),
"metadata": metadata,
}
def _fallback_graph_chains(src: dict) -> tuple[list[dict], dict]:
"""§9 图谱与链条：native_graph_chains(list) / graph_knowledge_chains(dict) 双形态容错。
返回 (chains, graph)；graph = {nodes, edges, chains}。
"""
from .normalize import pick # A1 已提供
raw_chains: list = pick(src, "native_graph_chains", default=[]) or []
if isinstance(raw_chains, dict): # 容错：意外为 dict
raw_chains = raw_chains.get("chains") or []
gkc = pick(src, "graph_knowledge_chains")
if isinstance(gkc, dict):
raw_chains = raw_chains + (gkc.get("chains") or [])
elif isinstance(gkc, list):
raw_chains = raw_chains + gkc
chains: list[dict] = []
nodes: dict[str, dict] = {}
edges: list[dict] = []
seen_chain: set = set()
for idx, chain in enumerate(raw_chains):
if not isinstance(chain, dict):
continue
chain_id = pick(chain, "chain_id", default=f"chain_{idx}")
if chain_id in seen_chain: # native 与 graph_knowledge 两形态可能镜像同数据
continue
seen_chain.add(chain_id)
hops_out: list[dict] = []
for hop in (pick(chain, "hops", default=[]) or []):
if not isinstance(hop, dict):
continue
source_name = pick(hop, "from_name", "source")
target_name = pick(hop, "to_name", "target")
src_id = pick(hop, "from_id", "source_canonical_id") or source_name
tgt_id = pick(hop, "to_id", "target_canonical_id") or target_name
hops_out.append({
"source": source_name,
"target": target_name,
"relation": pick(hop, "relation"),
"source_type": pick(hop, "source_type"),
"target_type": pick(hop, "target_type"),
"paper_id": pick(hop, "paper_id"),
"pmid": pick(hop, "pmid"),
"pmcid": pick(hop, "pmcid"),
"doi": pick(hop, "doi"),
})
nodes.setdefault(src_id, {"id": src_id, "label": source_name, "type": pick(hop, "source_type")})
nodes.setdefault(tgt_id, {"id": tgt_id, "label": target_name, "type": pick(hop, "target_type")})
edges.append({
"source": src_id,
"target": tgt_id,
"relation": pick(hop, "relation"),
"label": pick(hop, "relation"),
"chain_id": chain_id,
"hop": pick(hop, "hop_index"),
"paper_id": pick(hop, "paper_id"),
"pmid": pick(hop, "pmid"),
"pmcid": pick(hop, "pmcid"),
"doi": pick(hop, "doi"),
})
chains.append({"chain_id": chain_id, "hops": hops_out})
# knowledge_graph 直出形态（上游若给出现成 nodes/edges，直接用）
kg = pick(src, "knowledge_graph")
if isinstance(kg, dict):
for n in (kg.get("nodes") or []):
if isinstance(n, dict) and n.get("id") not in nodes:
nodes[n["id"]] = n
edges = (kg.get("edges") or []) + edges
elif not edges:
edges = pick(src, "graph_edges", default=[]) or []
graph = {"nodes": list(nodes.values()), "edges": edges, "chains": chains}
return chains, graph
# ---------------------------------------------------------------------------
# SSE 帧工具
# ---------------------------------------------------------------------------
def utc_now_iso() -> str:
return datetime.now(timezone.utc).isoformat(timespec="milliseconds").replace("+00:00", "Z")
def sse_frame(event: str, data: Any = None) -> str:
text = data if isinstance(data, str) else json.dumps(data, ensure_ascii=False)
return f"event: {event}\ndata: {text}\n\n"
def _progress_payload(payload: dict, at: str) -> dict:
stage = payload.get("stage")
phase, label = phase_for(stage)
details = payload.get("details")
if not isinstance(details, dict):
details = {}
return {"stage": stage, "phase": phase, "label": label, "details": details, "at": at}
def _classify(event_name: Optional[str], data_text: str) -> Optional[tuple[str, Any]]:
"""一条上游事件 → (kind, payload)；kind ∈ progress|complete|error|raw。
None 表示无内容可发（空帧）。无 event 名时按 payload 形态分类。
"""
if not data_text.strip():
if not event_name:
return None
return ("raw", {"payload": data_text, "event_name": event_name})
try:
payload = json.loads(data_text)
except (json.JSONDecodeError, ValueError):
# 不是 JSON —— 透传不丢数据
return ("raw", {"payload": data_text, "event_name": event_name or None})
if not isinstance(payload, dict):
return ("raw", payload)
if "stage" in payload:
return ("progress", payload)
if event_name == "error":
return ("error", _error_payload_from_upstream(payload))
if event_name == "complete" or "answer" in payload or "success" in payload:
return ("complete", payload)
return ("raw", payload)
def _error_payload_from_upstream(payload: dict) -> dict:
if is_invalid_citation(payload):
return error_payload("INVALID_CITATION")
detail = payload.get("detail")
if isinstance(detail, dict):
return error_payload("UPSTREAM_ERROR", detail.get("message") or detail.get("error"))
return error_payload("UPSTREAM_ERROR", payload.get("message") or payload.get("error"))
# ---------------------------------------------------------------------------
# 中继核心
# ---------------------------------------------------------------------------
async def relay_stream(
body: dict[str, Any],
*,
client: Optional[httpx.AsyncClient] = None,
base_url: Optional[str] = None,
normalizer: Optional[Callable[[dict], dict]] = None,
idle_timeout: Optional[float] = None,
keepalive_interval: Optional[float] = None,
now_fn: Callable[[], str] = utc_now_iso,
) -> AsyncIterator[str]:
"""POST 上游 /chat/stream 并把帧中继为前端契约帧（API.md §4）。
客户端断开 → StreamingResponse 取消本生成器 → CancelledError 传播 →
`async with client.stream(...)` 退出，上游流随之关闭。
"""
client = client or get_qa_client()
normalizer = normalizer or get_qa_normalizer()
idle_timeout = STREAM_IDLE_TIMEOUT if idle_timeout is None else idle_timeout
keepalive_interval = STREAM_KEEPALIVE_INTERVAL if keepalive_interval is None else keepalive_interval
url = f"{base_url or qa_base_url()}{QA_UPSTREAM_PREFIX}/chat/stream"
timeout = httpx.Timeout(connect=CONNECT_TIMEOUT, read=None, write=30.0, pool=CONNECT_TIMEOUT)
for attempt in (1, 2):
try:
async with client.stream(
"POST", url, json=body, timeout=timeout, headers={"Accept": "text/event-stream"}
) as resp:
if resp.status_code >= 400:
detail = await _safe_aread(resp)
if attempt == 1 and is_invalid_citation(detail):
logger.warning(
"上游 /chat/stream 返回 %d invalid_llm_citation，自动重试（第 1 次）",
resp.status_code,
)
continue
code, message = status_to_error(resp.status_code, detail)
yield sse_frame("error", error_payload(code, message))
return
async for frame_text in _pump_events(
resp, normalizer, idle_timeout, keepalive_interval, now_fn
):
yield frame_text
return
except httpx.ReadTimeout:
yield sse_frame("error", error_payload("TIMEOUT"))
return
except (httpx.ConnectError, httpx.ConnectTimeout, httpx.PoolTimeout) as exc:
logger.warning("上游 /chat/stream 连接失败: %s", exc)
yield sse_frame("error", error_payload("UPSTREAM_DOWN"))
return
except httpx.HTTPError as exc:
logger.warning("上游 /chat/stream 请求失败: %s", exc)
yield sse_frame("error", error_payload("UPSTREAM_ERROR"))
return
# 理论上不可达（attempt 循环内必然 return）；防御性兜底
yield sse_frame("error", error_payload("UPSTREAM_ERROR"))
async def _safe_aread(resp: httpx.Response) -> Any:
try:
raw = await resp.aread()
if not raw:
return None
return json.loads(raw.decode("utf-8", errors="replace"))
except Exception:
return None
async def _pump_events(
resp: httpx.Response,
normalizer: Callable[[dict], dict],
idle_timeout: float,
keepalive_interval: float,
now_fn: Callable[[], str],
) -> AsyncIterator[str]:
"""消费上游 SSE 字节流并产出契约帧。
设计要点：上游读取放在独立的 producer task（一次 `anext` 可能挂数分钟——
上游逐字节慢速输出是常态）。看门狗只在 `Event.wait()` 上施加 `fail_after`，
避免取消传播进 httpx 的字节生成器（asyncio 后端下那会破坏后续所有 await，
使 timeout/ping 帧发不出去）。
看门狗：
- 上游字节静默 `keepalive_interval` → `: ping`；
- 自上次完整上游事件起 `idle_timeout` 无事件 → `event: timeout` 并关闭。
"""
chunks = resp.aiter_raw()
queue: deque[tuple[str, bool]] = deque() # (frame_text, is_terminal)
wakeup = anyio.Event() # 持久事件：consumer 等待前先 clear，避免残留 set 造成忙循环
def enqueue(frame_text: str, terminal: bool) -> None:
queue.append((frame_text, terminal))
wakeup.set()
async def producer() -> None:
buf = b""
event_name: Optional[str] = None
data_lines: list[str] = []
def dispatch_local() -> list[tuple[str, bool]]:
nonlocal event_name, data_lines
kind = _classify(event_name, "\n".join(data_lines))
event_name, data_lines = None, []
if kind is None:
return []
kind_name, payload = kind
if kind_name == "progress":
return [(sse_frame("progress", _progress_payload(payload, now_fn())), False)]
if kind_name == "complete":
try:
normalized = normalizer(payload)
except Exception:
logger.exception("归一化上游 complete 帧失败")
return [(sse_frame("error", error_payload("INTERNAL")), True)]
return [(sse_frame("complete", normalized), True)]
if kind_name == "error":
return [(sse_frame("error", payload), True)]
return [(sse_frame("raw", payload), False)]
try:
async for chunk in chunks:
buf += chunk
while b"\n" in buf:
raw_line, buf = buf.split(b"\n", 1)
line = raw_line.rstrip(b"\r").decode("utf-8", errors="replace")
if line == "":
for frame_text, terminal in dispatch_local():
enqueue(frame_text, terminal)
if queue and any(t for _, t in queue):
return # 终态已入队，停止读取，连接由 aclose 关闭
elif line.startswith(":"):
continue # 上游注释帧（keepalive）忽略；保活由本中继自己的 : ping 承担
elif line.startswith("event:"):
event_name = line[len("event:"):].strip() or None
elif line.startswith("data:"):
data_lines.append(line[len("data:"):].strip())
# 其他 SSE 字段（id:/retry:）忽略
# 上游流在终态帧之前关闭：残余帧照发（绝不丢数据），再报错
for frame_text, terminal in dispatch_local():
enqueue(frame_text, terminal)
enqueue(sse_frame("error", error_payload("UPSTREAM_ERROR", "知识问答服务连接意外关闭")), True)
except httpx.ReadTimeout:
enqueue(sse_frame("error", error_payload("TIMEOUT")), True)
except (httpx.ConnectError, httpx.ConnectTimeout):
enqueue(sse_frame("error", error_payload("UPSTREAM_DOWN")), True)
except httpx.HTTPError as exc:
logger.warning("上游 SSE 流中断: %s", exc)
enqueue(sse_frame("error", error_payload("UPSTREAM_ERROR")), True)
async with anyio.create_task_group() as tg:
tg.start_soon(producer)
last_upstream_event = time.monotonic()
while True:
if queue:
last_upstream_event = time.monotonic()
frame_text, terminal = queue.popleft()
yield frame_text
if terminal:
tg.cancel_scope.cancel()
return
continue
now = time.monotonic()
if now - last_upstream_event >= idle_timeout:
yield sse_frame("timeout", {"message": "检索超时"})
tg.cancel_scope.cancel()
return
wakeup = anyio.Event()
try:
with anyio.fail_after(min(keepalive_interval, idle_timeout - (now - last_upstream_event))):
await wakeup.wait()
except TimeoutError:
now = time.monotonic()
if now - last_upstream_event >= idle_timeout:
yield sse_frame("timeout", {"message": "检索超时"})
tg.cancel_scope.cancel()
return
yield ": ping\n\n"
backend/app/services/test_extraction.py
+382
View File
@@ -0,0 +1,382 @@
"""services/test_extraction.py —— 抽取代理单元测试（respx mock HTTP）。
覆盖：progress_pct 派生（四状态 + failed=null）、8000 down → 7900 回落命中、
alt 失败缓存（30s 内不再试 alt）、jobs 列表归一化、job 详情归一化、
plan 请求 409 → null 不报错、上传流式转发 + message 附加。
"""
from __future__ import annotations
import httpx
import pytest
import respx
from app.services.extraction import (
ALT_FAILURE_TTL,
ExtractionService,
ExtractionUnavailable,
derive_progress_pct,
)
PRIMARY = "http://primary.test"
ALT = "http://alt.test"
PREFIX = "/api/v1/methodology"
def make_service(primary: str = PRIMARY, alt: str = ALT) -> ExtractionService:
return ExtractionService(primary_base_url=primary, alt_base_url=alt)
# ---------- progress_pct 派生（API.md §10） ----------
@pytest.mark.parametrize(
"stage,expected",
[
("queued", 5),
("mineru", 35),
("llm", 75),
("completed", 100),
("failed", None),
(None, None),
("unknown_stage", None),
],
)
def test_derive_progress_pct(stage, expected):
assert derive_progress_pct(stage) == expected
# ---------- 回落逻辑 ----------
async def test_primary_down_falls_back_to_alt(respx_mock):
# 8000 down（连接失败），7900 命中
respx_mock.get(f"{PRIMARY}{PREFIX}/extract-jobs?limit=20").mock(
side_effect=httpx.ConnectError("primary down")
)
respx_mock.get(f"{ALT}{PREFIX}/extract-jobs?limit=20").mock(
return_value=httpx.Response(
200,
json={
"jobs": [
{
"job_id": "2943168e9c48",
"status": "completed",
"stage": "completed",
"substage": "done",
"message": "MinerU+LLM 方法学提取完成",
"paper_id": "demo_paper",
"family": "",
"source_filename": "wang2019.pdf",
"stage_count": 6,
"species_count": 1,
"figure_table_caption_count": 9,
"figure_table_stage_count": 12,
"updated_at": "2026-08-07T09:42:17",
"config_url": "/api/v1/methodology/extract-jobs/2943168e9c48/bbav5-config",
"methodology_plan_url": "/api/v1/methodology/extract-jobs/2943168e9c48/plan",
}
],
"count": 1,
},
)
)
service = make_service()
result = await service.list_jobs(limit=20)
assert result["count"] == 1
job = result["jobs"][0]
assert job["title"] == "wang2019.pdf" # source_filename 优先
assert job["progress_pct"] == 100
assert job["status"] == "completed"
await service.close()
async def test_primary_5xx_falls_back_to_alt(respx_mock):
respx_mock.get(f"{PRIMARY}{PREFIX}/extract-jobs?limit=20").mock(
return_value=httpx.Response(500)
)
respx_mock.get(f"{ALT}{PREFIX}/extract-jobs?limit=20").mock(
return_value=httpx.Response(200, json={"jobs": [], "count": 0})
)
service = make_service()
result = await service.list_jobs(limit=20)
assert result == {"jobs": [], "count": 0}
await service.close()
async def test_both_down_raises_unavailable(respx_mock):
respx_mock.get(f"{PRIMARY}{PREFIX}/extract-jobs?limit=20").mock(
side_effect=httpx.ConnectError("down")
)
respx_mock.get(f"{ALT}{PREFIX}/extract-jobs?limit=20").mock(
side_effect=httpx.ConnectError("down too")
)
service = make_service()
with pytest.raises(ExtractionUnavailable):
await service.list_jobs(limit=20)
await service.close()
async def test_alt_failure_not_cached_over_30s(respx_mock):
"""alt 失败后 30s 内不再试 alt；超过 30s 恢复尝试。"""
respx_mock.get(f"{PRIMARY}{PREFIX}/extract-jobs?limit=20").mock(
side_effect=httpx.ConnectError("down")
)
alt_route = respx_mock.get(f"{ALT}{PREFIX}/extract-jobs?limit=20").mock(
side_effect=httpx.ConnectError("down too")
)
service = make_service()
with pytest.raises(ExtractionUnavailable):
await service.list_jobs(limit=20)
assert alt_route.called is True # 第一次尝试了 alt
# 立刻再请求：alt 在失败窗口内，不应再被尝试
before = alt_route.call_count
with pytest.raises(ExtractionUnavailable):
await service.list_jobs(limit=20)
assert alt_route.call_count == before # 没有新增 alt 请求
# 模拟时间流逝超过 ALT_FAILURE_TTL
service._alt_dead_until -= ALT_FAILURE_TTL + 1
alt_route.side_effect = None # 必须先清 side_effect，respx 优先走 side_effect
alt_route.return_value = httpx.Response(200, json={"jobs": [], "count": 0})
result = await service.list_jobs(limit=20)
assert result == {"jobs": [], "count": 0}
assert alt_route.call_count == before + 1 # 恢复后重新尝试 alt
await service.close()
# ---------- jobs 归一化 ----------
def _raw_job(**overrides):
base = {
"job_id": "a1b2c3d4e5f6",
"status": "running",
"stage": "llm",
"substage": None,
"message": "LLM 关系抽取中…",
"paper_id": "pecan_spl",
"family": "SPL",
"source_filename": "Pecan_SPL_2021.pdf",
"stage_count": 4,
"species_count": 1,
"figure_table_caption_count": 3,
"figure_table_stage_count": 4,
"updated_at": "2026-08-25T09:52:00",
"config_url": None,
"methodology_plan_url": None,
}
base.update(overrides)
return base
async def test_jobs_normalization_stages(respx_mock):
respx_mock.get(f"{PRIMARY}{PREFIX}/extract-jobs?limit=20").mock(
return_value=httpx.Response(
200,
json={
"jobs": [
_raw_job(stage="queued", status="queued", substage=None,
message="排队等待处理"),
_raw_job(stage="mineru", status="running"),
_raw_job(stage="failed", status="failed",
source_filename=None),
],
"count": 3,
},
)
)
service = make_service()
result = await service.list_jobs(limit=20)
jobs = result["jobs"]
assert [j["progress_pct"] for j in jobs] == [5, 35, None]
# failed 且无 source_filename：title 回退 paper_id
assert jobs[2]["title"] == "pecan_spl"
assert jobs[0]["stage"] == "queued"
await service.close()
async def test_jobs_title_fallback_chain(respx_mock):
respx_mock.get(f"{PRIMARY}{PREFIX}/extract-jobs?limit=20").mock(
return_value=httpx.Response(
200,
json={
"jobs": [
_raw_job(job_id="onlyjobid", source_filename=None, paper_id=None),
],
"count": 1,
},
)
)
service = make_service()
result = await service.list_jobs(limit=20)
assert result["jobs"][0]["title"] == "onlyjobid" # 最后回退 job_id
await service.close()
# ---------- job 详情与 plan ----------
def _detail_job(**overrides):
base = {
"updated_at": "2026-08-07T09:42:17",
"job_id": "2943168e9c48",
"status": "completed",
"stage": "completed",
"substage": "done",
"message": "MinerU+LLM 方法学提取完成",
"source_path": "/home/xzq/5090/PlantAI-rag/data/evaluation/upload/wang2019.pdf",
"content_list": "/home/xzq/5090/PlantAI-rag/.../wang2019_content_list.json",
"output_dir": "/home/xzq/5090/PlantAI-rag/methodology_batch_demo_paper_2943168e9c48",
"paper_id": "demo_paper",
"family": "",
"stage_count": 6,
"species_count": 1,
"figure_table_caption_count": 9,
"figure_table_stage_count": 12,
"figure_table_warning": "",
"source_filename": "wang2019.pdf",
"config_url": "/api/v1/methodology/extract-jobs/2943168e9c48/bbav5-config",
"methodology_plan_url": "/api/v1/methodology/extract-jobs/2943168e9c48/plan",
}
base.update(overrides)
return base
async def test_get_job_completed_fetches_plan(respx_mock):
respx_mock.get(f"{PRIMARY}{PREFIX}/extract-jobs/2943168e9c48").mock(
return_value=httpx.Response(200, json=_detail_job())
)
respx_mock.get(f"{PRIMARY}{PREFIX}/extract-jobs/2943168e9c48/plan").mock(
return_value=httpx.Response(
200,
json={
"plan_id": "plan_2943168e9c48",
"paper_id": "demo_paper",
"gene_family": "",
"stages": [],
},
)
)
service = make_service()
detail = await service.get_job("2943168e9c48")
assert detail["job_id"] == "2943168e9c48"
assert detail["title"] == "wang2019.pdf"
assert detail["progress_pct"] == 100
assert detail["stats"] == {
"stage_count": 6,
"species_count": 1,
"figure_table_caption_count": 9,
"figure_table_stage_count": 12,
}
assert detail["detail"]["status"] == "completed" # 上游原始全量
assert detail["plan"] == {
"plan_id": "plan_2943168e9c48",
"paper_id": "demo_paper",
"gene_family": "",
"stages": [],
}
await service.close()
async def test_get_job_incomplete_plan_409_is_null(respx_mock):
"""未完成时上游 plan 返回 409：BFF 置 null 不报错（API.md §10）。"""
respx_mock.get(f"{PRIMARY}{PREFIX}/extract-jobs/a1b2c3d4e5f6").mock(
return_value=httpx.Response(
200,
json=_detail_job(
job_id="a1b2c3d4e5f6",
status="running",
stage="llm",
substage=None,
message="LLM 关系抽取中…",
),
)
)
respx_mock.get(f"{PRIMARY}{PREFIX}/extract-jobs/a1b2c3d4e5f6/plan").mock(
return_value=httpx.Response(
409, json={"detail": "Extraction job is not completed"}
)
)
service = make_service()
detail = await service.get_job("a1b2c3d4e5f6")
assert detail["status"] == "running"
assert detail["progress_pct"] == 75
assert detail["plan"] is None # 409 被吞掉，不报错
await service.close()
async def test_get_job_plan_upstream_down_yields_null_plan(respx_mock):
respx_mock.get(f"{PRIMARY}{PREFIX}/extract-jobs/2943168e9c48").mock(
return_value=httpx.Response(200, json=_detail_job())
)
respx_mock.get(f"{PRIMARY}{PREFIX}/extract-jobs/2943168e9c48/plan").mock(
side_effect=httpx.ConnectError("plan service down")
)
respx_mock.get(f"{ALT}{PREFIX}/extract-jobs/2943168e9c48/plan").mock(
side_effect=httpx.ConnectError("alt down")
)
service = make_service()
detail = await service.get_job("2943168e9c48")
assert detail["plan"] is None # plan 拉不到不影响 job 详情
await service.close()
# ---------- 透传 ----------
async def test_passthrough_run_log(respx_mock):
respx_mock.get(f"{PRIMARY}{PREFIX}/run-log").mock(
return_value=httpx.Response(
200,
json={
"text": "2026-08-25 10:00:01 INFO MinerU 解析完成\n"
"2026-08-25 10:12:09 INFO 关系抽取 751 relations\n"
},
)
)
service = make_service()
result = await service._passthrough("/run-log")
assert result["text"].startswith("2026-08-25 10:00:01")
await service.close()
# ---------- 上传 ----------
async def _file_stream(chunks: list[bytes]):
for c in chunks:
yield c
async def test_upload_streams_and_appends_message(respx_mock):
captured: dict = {}
def handler(request: httpx.Request) -> httpx.Response:
captured["url"] = str(request.url)
captured["body"] = request.content # 多部分请求体已完整接收
return httpx.Response(
200,
json={
"success": True,
"job_id": "d4e5f6a7b8c9",
"status_url": "/api/v1/methodology/extract-jobs/d4e5f6a7b8c9",
},
)
respx_mock.post(f"{PRIMARY}{PREFIX}/extract-upload").mock(side_effect=handler)
service = make_service()
result = await service.upload(
filename="wang2019.pdf",
stream=_file_stream([b"%PDF-1.4 mock bytes"]),
content_type="application/pdf",
paper_id="demo_paper",
family="SPL",
output_name="wang2019",
)
assert result == {
"success": True,
"job_id": "d4e5f6a7b8c9",
"status_url": "/api/v1/methodology/extract-jobs/d4e5f6a7b8c9",
"message": "已提交抽取任务",
}
# 请求被发到 primary（8000），multipart 含文件名、form 字段与文件字节
assert captured["url"] == f"{PRIMARY}{PREFIX}/extract-upload"
body = captured["body"]
assert b'name="file"' in body
assert b"wang2019.pdf" in body
assert b'name="paper_id"' in body and b"demo_paper" in body
assert b'name="family"' in body and b"SPL" in body
assert b"%PDF-1.4 mock bytes" in body
await service.close()
backend/app/services/test_neo4j.py
+588
View File
@@ -0,0 +1,588 @@
"""services/test_neo4j.py —— Neo4jService 单元测试（FakeDriver，不连真实实例）。
覆盖：实例选择与回退、5s 探测缓存、kg_status / kg_overview /
search_entities / entity / neighborhood 的 Cypher 与结果组装、
非 canonical 实例的 TODO 行为、超时与驱动错误 → Neo4jUnavailable。
"""
from __future__ import annotations
import asyncio
import pytest
from app.services.neo4j import (
CONNECT_TIMEOUT,
DIRECT_ACTIVE_NAME,
FULLTEXT_INDEX,
NAME_INDEX,
NORMALIZED_ACTIVE_NAME,
Neo4jService,
Neo4jUnavailable,
_Instance,
)
def inst(
name: str = DIRECT_ACTIVE_NAME,
uri: str = "bolt://fake-direct:18788",
schema: str = "canonical",
label: str | None = "SRT2CanonicalEntity",
rel: str | None = "SRT2_CANONICAL_ASSERTS",
) -> _Instance:
return _Instance(name, uri, "neo4j", "pw", "neo4j", schema, label, rel)
# ---------- FakeDriver ----------
class FakeResult:
"""模拟 neo4j AsyncResult：可迭代 record（dict 样式）。"""
def __init__(self, rows: list[dict]):
self.rows = rows
def __iter__(self):
return iter(self.rows)
def __len__(self):
return len(self.rows)
class FakeDriver:
"""内存脚本表：{(cypher 关键片段): rows}。匹配取最长注册片段（避免短键误配）。"""
_NO_SCRIPT = object()
def __init__(
self,
scripts: dict[str, list[dict]] | None = None,
delays: dict[str, float] | None = None,
errors: dict[str, Exception] | None = None,
connect_error: Exception | None = None,
):
self.scripts = scripts or {}
self.delays = delays or {}
self.errors = errors or {}
self.connect_error = connect_error
self.calls: list[tuple[str, dict]] = []
self.closed = False
def _match(self, cypher: str):
# 大小写不敏感 + 最长片段优先，避免 "canonical_id: $id" 误配邻域查询
lowered = cypher.lower()
matches = [k for k in self.scripts if k.lower() in lowered]
return max(matches, key=len) if matches else self._NO_SCRIPT
async def execute_query(
self, cypher: str, parameters_: dict | None = None, **kwargs
) -> tuple[FakeResult, object, object]:
self.calls.append((cypher, dict(parameters_ or {})))
if self.connect_error is not None:
raise self.connect_error
key = self._match(cypher)
if key is self._NO_SCRIPT:
raise AssertionError(
f"未注册的 Cypher：{cypher!r}（已注册 {list(self.scripts)}）"
)
if key in self.errors:
raise self.errors[key]
if key in self.delays:
await asyncio.sleep(self.delays[key])
return FakeResult(self.scripts[key]), None, None
async def close(self):
self.closed = True
def _canonical_instance(
name: str = DIRECT_ACTIVE_NAME,
uri: str = "bolt://fake-direct:18788",
) -> _Instance:
return inst(name, uri, "canonical", "SRT2CanonicalEntity", "SRT2_CANONICAL_ASSERTS")
def make_service(
driver: FakeDriver,
instances: list[_Instance] | None = None,
) -> Neo4jService:
"""构建已选中实例（跳过探测）的服务：默认只有 canonical 实例，
连接指向测试 driver。"""
if instances is None:
instances = [_canonical_instance()]
service = Neo4jService(instances=instances)
service._drivers = {i.name: driver for i in instances}
service._selected = True
service._active = instances[0]
return service
COUNTS_SCRIPT = "RETURN entity_count, assertion_count"
INDEXES_SCRIPT = "SHOW INDEXES"
ENTITY_ROW = {
"canonical_id": "cent_ospl14",
"name": "OsSPL14",
"entity_type": "gene",
"support_count": 18,
}
def node_row(canonical_id: str, name: str, entity_type: str):
return {
"canonical_id": canonical_id,
"name": name,
"name_norm": name.lower(),
"entity_type": entity_type,
"support_count": 1,
}
def edge_row(src: str, tgt: str, category: str, *, title: str = "Paper"):
return {
"assertion_id": f"cass_{src}_{tgt}",
"source_canonical_id": src,
"target_canonical_id": tgt,
"relation_norm": category,
"relation_category": category,
"paper_count": 3,
"support_count": 2,
"title": title,
"doi": "10.1/x",
"pmid": "1",
}
# ---------- 实例选择与探测 ----------
@pytest.fixture
def tcp_ok(monkeypatch):
"""绕过 TCP 预检（fake URI 无法真实连接），让 FakeDriver 接管。"""
async def reachable(uri: str) -> bool:
return True
monkeypatch.setattr(Neo4jService, "_tcp_reachable", staticmethod(reachable))
async def test_select_defaults_to_direct():
service = make_service(FakeDriver({"RETURN 1": [{"x": 1}]}))
instance = await service.select()
assert instance.name == DIRECT_ACTIVE_NAME
assert instance.uri == "bolt://fake-direct:18788"
async def test_probe_falls_back_to_next_instance_on_connect_error(tcp_ok):
from neo4j import exceptions as neo4j_exc
direct = _canonical_instance()
failing = FakeDriver(
{"RETURN 1": [{"x": 1}], COUNTS_SCRIPT: [], INDEXES_SCRIPT: []},
connect_error=neo4j_exc.ServiceUnavailable("down"),
)
healthy = FakeDriver(
{"RETURN 1": [{"x": 1}], COUNTS_SCRIPT: [], INDEXES_SCRIPT: []}
)
normal = inst(NORMALIZED_ACTIVE_NAME, "bolt://fake-normalized:19788",
schema="normalized", label=None, rel=None)
service = Neo4jService([direct, normal])
service._drivers = {direct.name: failing, normal.name: healthy}
result = await service.probe()
assert result["ok"] is True
assert result["active"] == NORMALIZED_ACTIVE_NAME
async def test_probe_all_down_returns_ok_false(tcp_ok):
from neo4j import exceptions as neo4j_exc
direct = _canonical_instance()
failing = FakeDriver(
{"RETURN 1": [{"x": 1}]},
connect_error=neo4j_exc.ServiceUnavailable("down"),
)
service = Neo4jService([direct])
service._drivers = {direct.name: failing}
result = await service.probe()
assert result["ok"] is False
assert result["active"] is None
assert result["detail"]
# 失败结果缓存 5s：select() 也应抛
with pytest.raises(Neo4jUnavailable):
await service.select()
async def test_probe_result_cached_5s(tcp_ok):
direct = _canonical_instance()
driver = FakeDriver({"RETURN 1": [{"x": 1}], COUNTS_SCRIPT: [
{"entity_count": 1, "assertion_count": 2}
], INDEXES_SCRIPT: [{"name": NAME_INDEX}]})
service = Neo4jService([direct])
service._drivers = {direct.name: driver}
result1 = await service.probe()
assert result1["ok"] is True
assert result1["active"] == DIRECT_ACTIVE_NAME
assert result1["detail"] is None
n_calls = len(driver.calls)
result2 = await service.probe() # 缓存命中：不再打实例
assert result2 == result1
assert len(driver.calls) == n_calls
async def test_probe_extra_indexes_not_reported_as_missing(tcp_ok):
"""BUG-R1-08 回归：同一标签上存在唯一约束索引等其它索引是正常现象
（DISCOVERY §2.2 实测有 srt2_canonical_entity_id），probe 不得把
「索引列表不止 name_norm 一个」误判为缺失或异常。"""
direct = _canonical_instance()
driver = FakeDriver({
"RETURN 1": [{"x": 1}],
COUNTS_SCRIPT: [{"entity_count": 1, "assertion_count": 2}],
# 真实 SHOW INDEXES：name_norm RANGE 索引 + canonical_id 唯一约束索引
INDEXES_SCRIPT: [
{"name": NAME_INDEX},
{"name": "srt2_canonical_entity_id"},
],
})
service = Neo4jService([direct])
service._drivers = {direct.name: driver}
result = await service.probe()
assert result["ok"] is True
assert result["detail"] is None # 修复前此处误报「缺失或异常」
async def test_probe_missing_name_index_reports_detail(tcp_ok):
direct = _canonical_instance()
driver = FakeDriver({
"RETURN 1": [{"x": 1}],
COUNTS_SCRIPT: [{"entity_count": 1, "assertion_count": 2}],
# 只有约束索引，没有 name_norm 索引
INDEXES_SCRIPT: [{"name": "srt2_canonical_entity_id"}],
})
service = Neo4jService([direct])
service._drivers = {direct.name: driver}
result = await service.probe()
assert result["ok"] is True # 索引缺失不导致整体失败
assert result["detail"] is not None
assert "name_norm 索引缺失" in result["detail"]
# ---------- kg_status ----------
async def test_kg_status_shape():
driver = FakeDriver(
{
COUNTS_SCRIPT: [
{"entity_count": 3820996, "assertion_count": 8246875}
],
INDEXES_SCRIPT: [{"name": NAME_INDEX}],
}
)
service = make_service(driver)
status = await service.kg_status()
assert status == {
"ok": True,
"active": DIRECT_ACTIVE_NAME,
"schema": "canonical",
"labels": ["SRT2CanonicalEntity", "SRT2CanonicalAssertion", "SRT2Paper"],
"relationship_types": ["SRT2_CANONICAL_ASSERTS", "SRT2_SUPPORTED_BY"],
"entity_count": 3820996,
"assertion_count": 8246875,
"name_index": NAME_INDEX,
"fulltext_index": FULLTEXT_INDEX,
}
async def test_kg_status_missing_index_reports_null():
driver = FakeDriver(
{
COUNTS_SCRIPT: [{"entity_count": 1, "assertion_count": 2}],
INDEXES_SCRIPT: [],
}
)
service = make_service(driver)
status = await service.kg_status()
assert status["name_index"] is None
assert status["fulltext_index"] is None
async def test_non_canonical_instance_raises_unavailable():
normal = inst(NORMALIZED_ACTIVE_NAME, "bolt://fake-normalized:19788",
schema="normalized", label=None, rel=None)
driver = FakeDriver({"RETURN 1": [{"x": 1}]})
service = make_service(driver, [normal])
with pytest.raises(Neo4jUnavailable):
await service.kg_status()
with pytest.raises(Neo4jUnavailable):
await service.search_entities("OsSPL14")
# ---------- kg_overview ----------
async def test_kg_overview_counts():
driver = FakeDriver(
{
"WITH e.entity_type AS t, count(*) AS c": [
{"type": "gene", "count": 43210},
{"type": "gene_family", "count": 1288},
],
"WITH r.relation_category AS cat, count(*) AS c": [
{"type": "characterized_in", "count": 12033},
],
}
)
service = make_service(driver)
overview = await service.kg_overview()
assert overview["entities_by_type"] == [
{"type": "gene", "count": 43210},
{"type": "gene_family", "count": 1288},
]
assert overview["relations_by_category"] == [
{"type": "characterized_in", "count": 12033}
]
# 不能有拉全量边/实体的危险查询
for cypher, _ in driver.calls:
assert "RETURN e" not in cypher and "RETURN r" not in cypher
# ---------- search_entities ----------
async def test_search_entities_maps_fields_and_normalizes_query():
driver = FakeDriver(
{
"e.name_norm = $q_norm OR e.name_norm STARTS WITH $q_norm": [
ENTITY_ROW,
{**ENTITY_ROW, "canonical_id": "cent_ospl7", "name": "OsSPL7", "support_count": 9},
]
}
)
service = make_service(driver)
results = await service.search_entities("OsSPL14", limit=5)
assert results[0] == {
"id": "cent_ospl14",
"name": "OsSPL14",
"type": "gene",
"support_count": 18,
}
assert len(results) == 2
# toLower 归一化已传到 Cypher 参数
call_params = driver.calls[0][1]
assert call_params["q_norm"] == "osspl14"
assert call_params["limit"] == 5
async def test_search_entities_caps_limit_at_20():
driver = FakeDriver(
{"e.name_norm = $q_norm OR e.name_norm STARTS WITH $q_norm": [ENTITY_ROW]}
)
service = make_service(driver)
await service.search_entities("x", limit=999)
params = driver.calls[0][1]
assert params["limit"] == 20
# ---------- entity ----------
async def test_entity_by_canonical_id():
props = {**node_row("cent_ospl14", "OsSPL14", "gene"), "rule": "exact"}
driver = FakeDriver(
{
"canonical_id: $id": [{"canonical_id": "cent_ospl14"}],
"RETURN e {.*} AS node": [{"node": props}],
}
)
service = make_service(driver)
entity = await service.entity("cent_ospl14")
assert entity == {
"id": "cent_ospl14",
"name": "OsSPL14",
"type": "gene",
"properties": props,
}
async def test_entity_by_name_uses_name_norm():
driver = FakeDriver(
{
"name_norm: $name_norm": [{"canonical_id": "cent_ospl14"}],
"RETURN e {.*} AS node": [{"node": node_row("cent_ospl14", "OsSPL14", "gene")}],
}
)
service = make_service(driver)
entity = await service.entity("OsSPL14")
assert entity is not None and entity["id"] == "cent_ospl14"
assert driver.calls[0][1]["name_norm"] == "osspl14"
async def test_entity_miss_returns_none():
driver = FakeDriver({"name_norm: $name_norm": []})
service = make_service(driver)
assert await service.entity("NoSuchGene") is None
# ---------- neighborhood ----------
async def test_neighborhood_depth1_shape():
driver = FakeDriver(
{
COUNTS_SCRIPT: [],
INDEXES_SCRIPT: [],
"name_norm: $name_norm": [{"canonical_id": "cent_ospl14"}],
"OPTIONAL MATCH (s)-[r1:SRT2_CANONICAL_ASSERTS]": [
{
"start": node_row("cent_ospl14", "OsSPL14", "gene"),
"nodes": [
node_row("cent_panicle", "panicle", "experimental_material"),
node_row("cent_ospl14", "OsSPL14", "gene"), # 重复，应去重
],
"edges": [
edge_row("cent_ospl14", "cent_panicle", "expressed_in"),
],
}
],
}
)
service = make_service(driver)
result = await service.neighborhood("OsSPL14", depth=1, limit=50)
assert result["center"] == "cent_ospl14"
assert result["center_name"] == "OsSPL14"
assert result["depth"] == 1
assert result["nodes"] == [
{"id": "cent_ospl14", "label": "OsSPL14", "type": "gene"},
{"id": "cent_panicle", "label": "panicle", "type": "experimental_material"},
]
assert len(result["edges"]) == 1
edge = result["edges"][0]
assert edge["source"] == "cent_ospl14"
assert edge["target"] == "cent_panicle"
assert edge["relation"] == "expressed_in"
assert edge["label"] == "expressed_in"
assert edge["assertion_id"] == "cass_cent_ospl14_cent_panicle"
assert edge["paper_count"] == 3
assert edge["support_count"] == 2
assert edge["title"] == "Paper"
assert edge["doi"] == "10.1/x"
assert edge["pmid"] == "1"
assert edge["chain_id"] is None and edge["hop"] is None
# limit 已下压进 Cypher 参数
params = driver.calls[-1][1]
assert params["max_nodes"] == 50 and params["max_edges"] == 50
# depth=1 绝不能执行第二跳（两跳实测约 13s，不默认开启）
for cypher, _ in driver.calls:
assert "r2:SRT2_CANONICAL_ASSERTS" not in cypher
async def test_neighborhood_depth2_uses_second_hop():
driver = FakeDriver(
{
COUNTS_SCRIPT: [],
INDEXES_SCRIPT: [],
"canonical_id: $id": [{"canonical_id": "cent_ospl14"}],
"OPTIONAL MATCH (s)-[r1:SRT2_CANONICAL_ASSERTS]": [
{
"start": node_row("cent_ospl14", "OsSPL14", "gene"),
"nodes": [
node_row("cent_panicle", "panicle", "experimental_material"),
node_row("cent_branching", "panicle branching", "process"),
],
"edges": [edge_row("cent_ospl14", "cent_panicle", "expressed_in")],
}
],
"OPTIONAL MATCH (n1)-[r2:SRT2_CANONICAL_ASSERTS]": [
{
"start": node_row("cent_ospl14", "OsSPL14", "gene"),
"nodes": [
node_row("cent_panicle", "panicle", "experimental_material"),
node_row("cent_mir156", "miR156", "sequence_feature"),
],
"edges": [
edge_row("cent_ospl14", "cent_panicle", "expressed_in"),
edge_row("cent_panicle", "cent_mir156", "regulated_by"),
],
}
],
}
)
service = make_service(driver)
result = await service.neighborhood("cent_ospl14", depth=2, limit=50)
assert result["depth"] == 2
# 一跳 + 二跳节点合并去重
ids = [n["id"] for n in result["nodes"]]
assert "cent_mir156" in ids
assert len(ids) == len(set(ids))
# 二跳边也出现（最长匹配选中的是 r2 脚本）
relations = {e["relation"] for e in result["edges"]}
assert "regulated_by" in relations
# 确认深度 2 时执行了带 r2 的 Cypher
assert any("r2:SRT2_CANONICAL_ASSERTS" in c for c, _ in driver.calls)
async def test_neighborhood_isolated_node_keeps_center():
driver = FakeDriver(
{
"canonical_id: $id": [{"canonical_id": "cent_lonely"}],
"OPTIONAL MATCH (s)-[r1:SRT2_CANONICAL_ASSERTS]": [
{"start": node_row("cent_lonely", "lonely gene", "gene"),
"nodes": [], "edges": []}
],
}
)
service = make_service(driver)
result = await service.neighborhood("cent_lonely", depth=1, limit=50)
assert result["center"] == "cent_lonely"
assert result["nodes"] == [
{"id": "cent_lonely", "label": "lonely gene", "type": "gene"}
]
assert result["edges"] == []
async def test_neighborhood_miss_returns_empty_center():
driver = FakeDriver({"name_norm: $name_norm": []})
service = make_service(driver)
result = await service.neighborhood("NoSuch", depth=1, limit=50)
assert result["center"] is None
assert result["nodes"] == [] and result["edges"] == []
async def test_neighborhood_clamps_depth_and_limit():
driver = FakeDriver(
{
"canonical_id: $id": [{"canonical_id": "cent_x"}],
"OPTIONAL MATCH (s)-[r1:SRT2_CANONICAL_ASSERTS]": [
{"start": node_row("cent_x", "x", "gene"), "nodes": [], "edges": []}
],
}
)
service = make_service(driver)
result = await service.neighborhood("cent_x", depth=5, limit=9999)
assert result["depth"] == 1
params = driver.calls[-1][1]
assert params["max_nodes"] == 200
# ---------- 超时与驱动错误 ----------
async def test_query_timeout_raises_unavailable(monkeypatch):
import app.services.neo4j as neo4j_mod
# 调短查询超时以在单测内触发 asyncio.wait_for
monkeypatch.setattr(neo4j_mod, "QUERY_TIMEOUT", 0.05)
slow = FakeDriver(
{"name_norm: $name_norm": []},
delays={"name_norm: $name_norm": 0.5},
)
service = make_service(slow)
with pytest.raises(Neo4jUnavailable):
await service.entity("OsSPL14")
async def test_driver_error_raises_unavailable():
from neo4j import exceptions as neo4j_exc
failing = FakeDriver(
{"name_norm: $name_norm": []},
errors={"name_norm: $name_norm": neo4j_exc.ServiceUnavailable("boom")},
)
service = make_service(failing)
with pytest.raises(Neo4jUnavailable):
await service.entity("OsSPL14")
async def test_close_closes_all_drivers():
driver = FakeDriver({})
service = make_service(driver)
await service.close()
assert driver.closed is True
backend/app/services/test_normalize.py
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"""services/test_normalize.py —— 归一化器单测。
输入用 backend/mock/fixtures/upstream_real_shape_sample.json（真实上游形态样本，
DISCOVERY.md §4.1），断言 API.md §7/§8/§9 的归一化输出关键字段。
fixture 是单一事实源（ARCHITECTURE.md §6），本测试同时守护 mock/BFF 契约一致。
"""
from __future__ import annotations
import json
from pathlib import Path
from app.services.normalize import (
extract_chains,
normalize_graph,
normalize_hop,
normalize_qa_response,
normalize_source,
pick,
)
FIXTURE = (
Path(__file__).resolve().parents[2]
/ "mock" / "fixtures" / "upstream_real_shape_sample.json"
)
def load_raw() -> dict:
return json.loads(FIXTURE.read_text(encoding="utf-8"))
# ---------------------------------------------------------------------------
# pick
# ---------------------------------------------------------------------------
def test_pick_first_existing_key():
obj = {"b": 2, "c": 3}
assert pick(obj, "a", "b", "c") == 2
assert pick(obj, "a") is None
assert pick(obj, "a", default="x") == "x"
assert pick(obj, "n", "b", default="y") == 2
def test_pick_skips_none_values():
assert pick({"a": None, "b": 1}, "a", "b") == 1
# ---------------------------------------------------------------------------
# §8 SourceItem
# ---------------------------------------------------------------------------
def test_normalize_source_all_keys_present():
src = normalize_source(load_raw()["sources"][0])
expected_keys = {
"id", "title", "paper_id", "chunk_id", "pmid", "pmcid", "doi", "url",
"snippet", "score", "locator", "section", "support_count", "type", "metadata",
}
assert expected_keys <= set(src.keys()) # 所有字段键必须存在（缺失为 null）
assert src["id"] == "S1" # evidence_id → id
assert src["title"] == "Genome-wide analysis of the SPL gene family in pecan"
assert src["paper_id"] == "PMC5488377_12864_2017_Article_3882"
assert src["pmid"] == "28655295"
assert src["doi"] == "10.1186/s12864-017-3882-4"
assert src["score"] == 0.982 # final_score → score
assert src["snippet"].startswith("## Phylogenetic")
assert src["url"] == "https://doi.org/10.1186/s12864-017-3882-4"
# 上游 item 的 source 是断言主体实体名（非论文标题），落 metadata.source_entity
assert src["metadata"]["source_entity"] == "SPL gene family"
assert src["metadata"]["assertion_id"] == "cass_d12f62f9abffbd903b97"
assert src["metadata"]["vector_score"] == 0.714
assert src["metadata"]["rerank_score"] == 0.989
assert src["metadata"]["output_layer"] == "main_kg"
def test_normalize_source_title_preferred_over_source():
src = normalize_source({"title": "Real Title", "source": "Entity Name"})
assert src["title"] == "Real Title"
assert src["metadata"]["source_entity"] == "Entity Name"
def test_normalize_source_only_doi_derives_url():
src = normalize_source({"doi": "10.1000/xyz"})
assert src["url"] == "https://doi.org/10.1000/xyz"
assert src["title"] is None
assert src["metadata"] == {}
def test_normalize_source_alias_chains():
src = normalize_source({
"content": "snippet text",
"doc_id": "doc-1",
"confidence": 0.5,
"assertion_id": "cass_x",
})
assert src["snippet"] == "snippet text"
assert src["paper_id"] == "doc-1"
assert src["score"] == 0.5
assert src["metadata"]["assertion_id"] == "cass_x"
# ---------------------------------------------------------------------------
# §9 图谱
# ---------------------------------------------------------------------------
def test_normalize_hop_aliases():
hop = normalize_hop({
"from_name": "A", "from_id": "cent_a", "source_type": "gene",
"to_name": "B", "to_id": "cent_b", "target_type": "species",
"relation": "characterized_in", "paper_id": "P1", "pmid": "1",
"pmcid": None, "doi": "10.1/x",
})
assert hop["source"] == "A"
assert hop["target"] == "B"
assert hop["source_id"] == "cent_a"
assert hop["target_id"] == "cent_b"
assert hop["source_type"] == "gene"
assert hop["target_type"] == "species"
assert hop["relation"] == "characterized_in"
assert hop["paper_id"] == "P1"
def test_extract_chains_both_shapes():
raw = load_raw()
chains = extract_chains(raw) # 优先 native_graph_chains（列表形态）
assert len(chains) == 1
assert chains[0]["chain_id"] == "G1"
assert len(chains[0]["hops"]) == 1
# dict 形态（graph_knowledge_chains）→ 取 .chains
chains_dict = extract_chains({"graph_knowledge_chains": raw["graph_knowledge_chains"]})
assert len(chains_dict) == 1
assert chains_dict[0]["chain_id"] == "G1"
assert len(chains_dict[0]["hops"]) == 2
def test_normalize_graph_nodes_edges_chains():
g = normalize_graph(load_raw())
assert isinstance(g, dict) and set(g.keys()) == {"nodes", "edges", "chains"}
assert len(g["chains"]) == 1
assert g["chains"][0]["chain_id"] == "G1"
assert len(g["chains"][0]["hops"]) == 1 # native_graph_chains 里只有 1 跳
# 节点：按 id 去重，label 取名字、type 取 source_type/target_type
ids = [n["id"] for n in g["nodes"]]
assert "cent_spl" in ids and "cent_oryza" in ids
assert len(ids) == len(set(ids))
by_id = {n["id"]: n for n in g["nodes"]}
assert by_id["cent_spl"]["label"] == "SPL gene"
assert by_id["cent_spl"]["type"] == "gene_family"
assert by_id["cent_oryza"]["type"] == "species"
# 边：带 chain_id / hop / paper_id
assert len(g["edges"]) == 1
edge = g["edges"][0]
assert edge["source"] == "cent_spl"
assert edge["target"] == "cent_oryza"
assert edge["relation"] == "characterized_in"
assert edge["label"] == "characterized_in"
assert edge["chain_id"] == "G1"
assert edge["hop"] == 0
assert edge["paper_id"] == "PMC5488377_12864_2017_Article_3882"
# ---------------------------------------------------------------------------
# §7 归一化 QA 响应
# ---------------------------------------------------------------------------
def test_normalize_qa_response():
out = normalize_qa_response(load_raw())
assert out["query_id"] == "20260825_000715_49f801a9"
assert out["version"] == "1.1.73"
assert out["answer"] == "" # search 模式空
assert out["success"] is True
assert out["source_count"] == 1
assert isinstance(out["sources"], list) and len(out["sources"]) == 1
assert out["sources"][0]["id"] == "S1"
assert out["used_sources"] == []
# timing：真实键 timings → timing
assert out["timing"]["total"] == 91.9
# citation_validation → citation_map
assert out["citation_map"]["valid"] is True
# query_plan → retrieval_plan
assert "agentic_plan" in out["retrieval_plan"]
# graph 与 chains 同源
assert len(out["graph"]["chains"]) == 1
assert out["chains"][0]["chain_id"] == "G1"
# raw 保存原始完整响应
assert out["raw"]["question"] == "What is the SPL gene family?"
def test_normalize_qa_response_alt_aliases():
out = normalize_qa_response({
"response": "answer text",
"citations": [{"evidence_id": "E1", "paper_title": "T", "final_score": 0.9}],
"used_sources": [],
"agentic_plan": {"anchor": "x"},
"timing": {"total_s": 1.0},
"citation_map": {"valid": False},
"notes": "n",
})
assert out["answer"] == "answer text"
assert out["sources"][0]["title"] == "T"
assert out["retrieval_plan"] == {"anchor": "x"}
assert out["timing"] == {"total_s": 1.0}
assert out["citation_map"] == {"valid": False}
assert out["retrieval_notes"] == "n"
backend/app/services/test_sse_relay.py
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"""test_sse_relay.py —— sse_relay 单元测试（A2 归属）。
全部测试对注入的假数据/假 client 运行，不依赖真实上游。看门狗测试用缩短的
超时参数注入（idle_timeout / keepalive_interval），避免真实 240s。
环境无 respx/pytest-asyncio：异步测试用 anyio 插件（pytest.mark.anyio）。
"""
from __future__ import annotations
import json
import pytest
from app.services import sse_relay
from app.services.sse_relay import (
STAGE_LABEL,
STAGE_PHASE,
UNKNOWN_STAGE_PHASE,
_classify,
phase_for,
relay_stream,
)
def _frame_texts(frames: list[str]) -> list[str]:
return [f for f in frames if f.strip()]
def _event_data_map(frames: list[str]) -> dict[str, list[dict]]:
"""把 SSE 帧序列解析为 {event_name: [data_dict, ...]}。"""
out: dict[str, list[dict]] = {}
event = None
for frame in frames:
for line in frame.split("\n"):
if line.startswith("event:"):
event = line[len("event:"):].strip()
out.setdefault(event, [])
elif line.startswith("data:") and event:
out[event].append(json.loads(line[len("data:"):].strip()))
return out
def _sse_bytes(events: list[tuple[bytes, bytes]]) -> list[bytes]:
return [b"event: " + e + b"\ndata: " + d + b"\n\n" for e, d in events]
# ===========================================================================
# STAGE_PHASE / STAGE_LABEL 全覆盖
# ===========================================================================
def test_stage_phase_maps_all_11_known_stages():
expected = {
"understanding_started": ("planning", "开始理解问题"),
"entities_identified": ("planning", "已识别实体"),
"related_search_started": ("planning", "开始关联检索"),
"concepts_found": ("retrieval", "发现相关概念"),
"subquestion_retrieved": ("retrieval", "子问题召回完成"),
"agent_review_started": ("retrieval", "开始智能体审核"),
"subquestion_retry_started": ("retrieval", "子问题重试中"),
"evidence_accepted": ("evidence", "证据已采纳"),
"evidence_review_completed": ("evidence", "证据审核完成"),
"answer_generation_started": ("generation", "开始生成答案"),
"completed": ("done", "检索完成"),
}
assert len(STAGE_PHASE) == 11
assert len(STAGE_LABEL) == 11
for stage, (phase, label) in expected.items():
assert STAGE_PHASE[stage] == phase
assert STAGE_LABEL[stage] == label
assert phase_for("not_a_real_stage") == (UNKNOWN_STAGE_PHASE, "not_a_real_stage")
def test_unknown_stage_falls_back_to_retrieval():
assert STAGE_PHASE.get("future_stage_xyz") is None
phase, label = phase_for("future_stage_xyz")
assert phase == "retrieval"
assert label == "future_stage_xyz"
# ===========================================================================
# 帧分类：无 event 名按形态、多行 data、: 注释
# ===========================================================================
def test_classify_stage_payload():
kind, payload = _classify("stage", '{"stage":"entities_identified","details":{"entities":["OsSPL14"]}}')
assert kind == "progress"
assert payload["stage"] == "entities_identified"
def test_classify_terminal_complete():
kind, payload = _classify("complete", '{"answer":"xxx","success":true,"sources":[]}')
assert kind == "complete"
def test_classify_no_event_name_by_shape():
# 无 event 名：按 payload 形态分类
assert _classify(None, '{"stage":"concepts_found","details":{}}')[0] == "progress"
assert _classify(None, '{"answer":"...","sources":[]}')[0] == "complete"
assert _classify(None, '{"success":false,"detail":{"error_code":"x"}}')[0] == "complete" # 含 success 判终态
assert _classify(None, '{"foo":1}')[0] == "raw"
def test_classify_error_event():
kind, payload = _classify("error", '{"detail":{"error_code":"invalid_llm_citation"}}')
assert kind == "error"
assert payload["code"] == "INVALID_CITATION"
def test_classify_raw_never_drops():
# 非 JSON data
kind, payload = _classify(None, "not-json-at-all")
assert kind == "raw"
assert payload["payload"] == "not-json-at-all"
# 无法分类的 JSON
kind, payload = _classify("mystery", '{"unexpected":true}')
assert kind == "raw"
assert payload == {"unexpected": True}
# JSON 数组
kind, payload = _classify(None, "[1,2,3]")
assert kind == "raw"
assert payload == [1, 2, 3]
# 空 data 但有 event 名
kind, payload = _classify("some_event", "")
assert kind == "raw"
assert payload["event_name"] == "some_event"
# ===========================================================================
# 中继整体：mock client 注入
# ===========================================================================
class FakeUpstreamStream:
"""httpx stream 上下文的假实现：按给定 chunks 序列吐字节。
silent=True 时 aiter_raw 永久挂起（模拟上游连接保持但完全静默）。
"""
def __init__(self, chunks: list[bytes], status: int = 200, headers: dict | None = None,
json_body: dict | None = None, silent: bool = False):
self._chunks = list(chunks)
self.status_code = status
self.headers = headers or {}
self._json = json_body
self._silent = silent
async def aiter_raw(self):
if self._silent:
import anyio
await anyio.sleep_forever()
return # pragma: no cover
for c in self._chunks:
yield c
async def aread(self):
return json.dumps(self._json).encode() if self._json is not None else b""
class _StreamCtx:
def __init__(self, response: FakeUpstreamStream):
self._resp = response
async def __aenter__(self):
return self._resp
async def __aexit__(self, exc_type, exc, tb):
return False
class FakeClient:
"""按顺序弹出响应的假 httpx.AsyncClient；记录请求供断言。"""
def __init__(self, responses: list[FakeUpstreamStream], exc: Exception | None = None):
self._responses = list(responses)
self._exc = exc
self.calls: list[dict] = []
def stream(self, method, url, **kwargs):
self.calls.append({"method": method, "url": url, **kwargs})
if self._exc is not None:
exc, self._exc = self._exc, None
raise exc
resp = self._responses.pop(0)
return _StreamCtx(resp)
def _collect(agen) -> list[str]:
import asyncio
async def run():
return [f async for f in agen]
return asyncio.run(run())
def test_relay_emits_progress_complete_sequence():
import anyio
frames = [
("stage", '{"stage":"understanding_started","details":{}}'),
("stage", '{"stage":"entities_identified","details":{"entities":["OsSPL14"]}}'),
("stage", '{"stage":"completed","details":{"elapsed_seconds":38.3}}'),
("complete", '{"answer":"final answer","success":true,"sources":[{"title":"T","score":0.9}]}'),
]
client = FakeClient([FakeUpstreamStream(_sse_bytes([(e.encode(), d.encode()) for e, d in frames]))])
async def run():
out = [f async for f in relay_stream({"question": "q"}, client=client, base_url="http://up")]
return out
out = anyio.run(run)
events = _event_data_map(_frame_texts(out))
assert len(events["progress"]) == 3
assert events["progress"][0]["stage"] == "understanding_started"
assert events["progress"][0]["phase"] == "planning"
assert events["progress"][1]["phase"] == "planning"
assert events["progress"][2]["phase"] == "done"
assert events["complete"][0]["mode"] == "chat"
assert "at" in events["progress"][0]
assert client.calls[0]["url"] == "http://up/api/v1/qa-v1-1-73/chat/stream"
assert client.calls[0]["json"] == {"question": "q"}
def test_relay_multiline_data_and_comment_frames():
import anyio
comment = b": keepalive\n\n"
chunks = [
b"event: stage\ndata: {\"stage\":\"evidence_accepted\",\n",
b"data: \"details\":{\"accepted_count\":12}}\n\n",
comment,
b"event: complete\ndata: {\"answer\":\"A\"}\n\n",
]
client = FakeClient([FakeUpstreamStream(chunks)])
async def run():
return [f async for f in relay_stream({"question": "q"}, client=client, base_url="http://up")]
out = anyio.run(run)
events = _event_data_map(_frame_texts(out))
assert "progress" in events
assert events["progress"][0]["details"] == {"accepted_count": 12}
assert "complete" in events
assert all(not f.startswith(": keepalive") for f in _frame_texts(out))
def test_relay_no_event_name_classified_by_shape():
import anyio
# 上游不带 event: 行，纯 data: JSON（模拟变体）
chunks = [
b'data: {"stage":"concepts_found","details":{}}\n\n',
b'data: {"answer":"A","success":true}\n\n',
]
client = FakeClient([FakeUpstreamStream(chunks)])
async def run():
return [f async for f in relay_stream({"q": 1}, client=client, base_url="http://up")]
out = anyio.run(run)
events = _event_data_map(_frame_texts(out))
assert events["progress"][0]["phase"] == "retrieval"
assert events["complete"][0]["answer"] == "A"
def test_relay_unknown_json_goes_raw():
import anyio
chunks = [
b"data: {\"mystery\":\"payload\"}\n\n",
b"event: complete\ndata: {\"answer\":\"A\"}\n\n",
]
client = FakeClient([FakeUpstreamStream(chunks)])
async def run():
return [f async for f in relay_stream({}, client=client, base_url="http://up")]
out = anyio.run(run)
events = _event_data_map(_frame_texts(out))
assert events["raw"] == [{"mystery": "payload"}]
assert "complete" in events
def test_relay_unknown_stage_maps_to_retrieval_with_raw_label():
import anyio
chunks = [b'data: {"stage":"brand_new_stage","details":{"x":1}}\n\n']
client = FakeClient([FakeUpstreamStream(chunks)])
async def run():
return [f async for f in relay_stream({}, client=client, base_url="http://up")]
out = anyio.run(run)
events = _event_data_map(_frame_texts(out))
assert events["progress"][0]["phase"] == "retrieval"
assert events["progress"][0]["label"] == "brand_new_stage"
def test_relay_error_event_closes():
import anyio
chunks = [
b'event: error\ndata: {"detail":{"error_code":"invalid_llm_citation"}}\n\n',
b"data: {\"stage\":\"completed\"}\n\n", # 关闭后不应被处理
]
client = FakeClient([FakeUpstreamStream(chunks)])
async def run():
return [f async for f in relay_stream({}, client=client, base_url="http://up")]
out = anyio.run(run)
events = _event_data_map(_frame_texts(out))
assert list(events.keys()) == ["error"]
assert events["error"][0]["code"] == "INVALID_CITATION"
def test_relay_upstream_close_before_terminal_reports_error():
import anyio
chunks = [b'data: {"stage":"concepts_found","details":{}}\n\n'] # 无 complete 即 EOF
client = FakeClient([FakeUpstreamStream(chunks)])
async def run():
return [f async for f in relay_stream({}, client=client, base_url="http://up")]
out = anyio.run(run)
events = _event_data_map(_frame_texts(out))
# 残余帧先转发（绝不丢数据），再报错误
assert "progress" in events
assert events["error"][0]["code"] == "UPSTREAM_ERROR"
# ===========================================================================
# 看门狗（缩短超时注入）
# ===========================================================================
def test_watchdog_timeout_after_idle():
import anyio
# 上游连接保持但完全静默；idle_timeout=0.3s 注入
client = FakeClient([FakeUpstreamStream([], silent=True)])
async def run():
return [
f
async for f in relay_stream(
{}, client=client, base_url="http://up", idle_timeout=0.3, keepalive_interval=0.15
)
]
out = anyio.run(run)
events = _event_data_map(_frame_texts(out))
assert list(events.keys()) == ["timeout"]
assert events["timeout"][0]["message"] == "检索超时"
def test_watchdog_ping_before_timeout():
import anyio
client = FakeClient([FakeUpstreamStream([], silent=True)])
async def run():
return [
f
async for f in relay_stream(
{}, client=client, base_url="http://up", idle_timeout=0.6, keepalive_interval=0.2
)
]
out = anyio.run(run)
pings = [f for f in _frame_texts(out) if f.startswith(": ping")]
assert len(pings) >= 1
events = _event_data_map(_frame_texts(out))
assert "timeout" in events
def test_watchdog_does_not_fire_when_events_keep_coming():
import anyio
# 上游在 idle_timeout 窗口内持续给事件（逐块喂，模拟慢速流）
chunks = [
b'data: {"stage":"understanding_started"}\n\n',
b'data: {"stage":"entities_identified"}\n\n',
b'event: complete\ndata: {"answer":"A"}\n\n',
]
client = FakeClient([FakeUpstreamStream(chunks)])
async def run():
return [
f
async for f in relay_stream(
{}, client=client, base_url="http://up", idle_timeout=10.0, keepalive_interval=0.05
)
]
out = anyio.run(run)
events = _event_data_map(_frame_texts(out))
assert "complete" in events
assert "timeout" not in events
# ===========================================================================
# 上游 HTTP 头阶段失败：invalid_llm_citation 重试一次 → 仍失败 → error
# ===========================================================================
def _http_error_response(body: dict, status: int) -> FakeUpstreamStream:
return FakeUpstreamStream([], status=status, json_body=body)
def test_http_error_402_invalid_citation_retries_then_errors():
import anyio
client = FakeClient([
_http_error_response({"detail": {"error_code": "invalid_llm_citation"}}, 402),
_http_error_response({"detail": {"error_code": "invalid_llm_citation"}}, 402),
])
async def run():
return [f async for f in relay_stream({}, client=client, base_url="http://up")]
out = anyio.run(run)
events = _event_data_map(_frame_texts(out))
assert list(events.keys()) == ["error"]
assert events["error"][0]["code"] == "INVALID_CITATION"
assert events["error"][0]["retryable"] is True
assert len(client.calls) == 2 # 重试一次 = 总共 2 次请求
def test_http_error_invalid_citation_retries_then_succeeds():
import anyio
good = FakeUpstreamStream(
[b'event: complete\ndata: {"answer":"ok"}\n\n'],
status=200,
)
client = FakeClient([
_http_error_response({"detail": {"error_code": "invalid_llm_citation"}}, 402),
good,
])
async def run():
return [f async for f in relay_stream({}, client=client, base_url="http://up")]
out = anyio.run(run)
events = _event_data_map(_frame_texts(out))
assert "complete" in events
assert "error" not in events
assert len(client.calls) == 2
def test_http_error_other_status_no_retry():
import anyio
client = FakeClient([
_http_error_response({"detail": "boom"}, 500),
])
async def run():
return [f async for f in relay_stream({}, client=client, base_url="http://up")]
out = anyio.run(run)
events = _event_data_map(_frame_texts(out))
assert events["error"][0]["code"] == "UPSTREAM_ERROR"
assert len(client.calls) == 1
def test_connect_error_emits_upstream_down():
import anyio
import httpx
client = FakeClient([], exc=httpx.ConnectError("conn refused", request=None))
async def run():
return [f async for f in relay_stream({}, client=client, base_url="http://up")]
out = anyio.run(run)
events = _event_data_map(_frame_texts(out))
assert events["error"][0]["code"] == "UPSTREAM_DOWN"
# ===========================================================================
# 工具函数
# ===========================================================================
def test_sse_headers_contract():
assert sse_relay.sse_headers["Cache-Control"] == "no-cache"
assert sse_relay.sse_headers["X-Accel-Buffering"] == "no"
def test_error_payload_shapes():
assert sse_relay.error_payload("TIMEOUT") == {"code": "TIMEOUT", "message": "检索超时", "retryable": True}
assert sse_relay.error_payload("UPSTREAM_DOWN")["retryable"] is False
assert sse_relay.error_payload("INVALID_CITATION")["retryable"] is True
backend/app/test_db.py
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"""app/test_db.py —— SQLite 层单测（aiosqlite + WAL，幂等迁移，JSON 编解码）。
覆盖：connect 建表/索引、重复 connect 幂等、外键级联删除、JSON 编解码容错。
"""
from __future__ import annotations
import pytest
from app.db import Database, dumps_json, loads_json
async def test_connect_creates_schema_and_wal(tmp_path):
db = Database(tmp_path / "t1" / "plantai.db")
await db.connect()
try:
# WAL 模式
row = await db.fetchone("PRAGMA journal_mode")
assert row[0].lower() == "wal"
# 表存在
tables = await db.fetchall("SELECT name FROM sqlite_master WHERE type='table'")
names = {t["name"] for t in tables}
assert {"sessions", "messages"} <= names
# 索引存在
indexes = await db.fetchall(
"SELECT name FROM sqlite_master WHERE type='index' AND name LIKE 'idx_%'"
)
inames = {i["name"] for i in indexes}
assert "idx_messages_session" in inames
assert "idx_sessions_updated" in inames
finally:
await db.close()
async def test_connect_idempotent(tmp_path):
db = Database(tmp_path / "t2" / "plantai.db")
await db.connect()
await db.close()
await db.connect() # 二次迁移不报错
await db.close()
async def test_cascade_delete_messages(tmp_path):
db = Database(tmp_path / "t3" / "plantai.db")
await db.connect()
try:
await db.execute(
"INSERT INTO sessions (id, title, status, meta, created_at, updated_at) "
"VALUES ('s1', 't', 'idle', '{}', '2026-01-01T00:00:00Z', '2026-01-01T00:00:00Z')"
)
await db.execute(
"INSERT INTO messages (id, session_id, role, kind, status, blocks, raw, text, "
"created_at, updated_at) VALUES "
"('m1', 's1', 'user', 'qa', 'done', '[]', NULL, 'hi', "
"'2026-01-01T00:00:00Z', '2026-01-01T00:00:00Z')"
)
row = await db.fetchone("SELECT COUNT(*) AS n FROM messages WHERE session_id='s1'")
assert row["n"] == 1
await db.execute("DELETE FROM sessions WHERE id='s1'")
row = await db.fetchone("SELECT COUNT(*) AS n FROM messages WHERE session_id='s1'")
assert row["n"] == 0 # ON DELETE CASCADE
finally:
await db.close()
def test_dumps_loads_json_roundtrip():
payload = {"a": 1, "b": [1, 2], "c": {"d": "中文"}}
assert loads_json(dumps_json(payload)) == payload
assert loads_json(None, default=[]) == []
assert loads_json("not-json", default={}) == {}
def test_dumps_json_fallback_on_unserializable():
import threading
assert dumps_json({"lock": threading.Lock()}, default=None) == "null"
backend/app/test_sessions_api.py
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"""app/test_sessions_api.py —— 会话/消息路由集成单测（API.md §5 / §1 信封）。
TestClient + 临时 SQLite（dependency_overrides 指向临时 Database），
不触发 app lifespan（不跑 init_db/上游探测）。
"""
from __future__ import annotations
import pytest
from fastapi.testclient import TestClient
from app.db import Database, dumps_json, get_db
from app.main import app
from app.upstream import envelope
@pytest.fixture()
async def db(tmp_path):
database = Database(tmp_path / "api" / "plantai.db")
await database.connect()
yield database
await database.close()
@pytest.fixture()
def client(db):
app.dependency_overrides[get_db] = lambda: db
try:
yield TestClient(app)
finally:
app.dependency_overrides.clear()
# ---------------------------------------------------------------------------
# 错误信封构造器（§1）
# ---------------------------------------------------------------------------
@pytest.mark.parametrize(
"code,expected_status",
[
("UPSTREAM_DOWN", 503),
("UPSTREAM_ERROR", 502),
("TIMEOUT", 504),
("INVALID_CITATION", 502),
("NOT_FOUND", 404),
("VALIDATION", 422),
("INTERNAL", 500),
],
)
def test_envelope_defaults(code, expected_status):
body, status = envelope(code)
assert status == expected_status
assert body["ok"] is False
assert body["error"]["code"] == code
assert isinstance(body["error"]["message"], str) and body["error"]["message"]
assert "degraded" in body["error"]
def test_envelope_custom():
body, status = envelope("UPSTREAM_DOWN", message="自定义", degraded=True, status=503)
assert body["error"]["message"] == "自定义"
assert body["error"]["degraded"] is True
# ---------------------------------------------------------------------------
# 会话 CRUD 全链路
# ---------------------------------------------------------------------------
def test_session_crud_full_flow(client):
# POST（默认标题 + 自定义标题）
r = client.post("/api/sessions", json={})
assert r.status_code == 201, r.text
sess = r.json()
assert sess["title"] == "新会话"
assert sess["status"] == "idle"
assert sess["message_count"] == 0
assert sess["meta"] == {"title_manual": False}
r2 = client.post("/api/sessions", json={"title": " 水稻SPL "})
sess2 = r2.json()
assert sess2["title"] == "水稻SPL"
# GET 列表（updated_at 倒序，最新在前）
r = client.get("/api/sessions")
assert r.status_code == 200
items = r.json()
assert [s["id"] for s in items][:2] == [sess2["id"], sess["id"]]
# POST user 消息
r = client.post(f"/api/sessions/{sess['id']}/messages", json={"role": "user", "text": "问题原文"})
assert r.status_code == 201, r.text
msg = r.json()
assert msg["role"] == "user" and msg["status"] == "done"
assert msg["text"] == "问题原文"
assert msg["blocks"] == [] and msg["raw"] is None
# POST assistant 流式骨架
r = client.post(
f"/api/sessions/{sess['id']}/messages",
json={
"role": "assistant", "kind": "qa", "status": "streaming",
"blocks": [{"type": "pipeline", "status": "running", "steps": []}],
},
)
assert r.status_code == 201, r.text
skeleton = r.json()
assert skeleton["status"] == "streaming"
assert skeleton["blocks"][0]["type"] == "pipeline"
assert "status" in skeleton["blocks"][0]
# 消息活动后会话状态 running、message_count 更新
r = client.get(f"/api/sessions/{sess['id']}")
detail = r.json()
assert detail["status"] == "running"
assert detail["message_count"] == 2
assert [m["role"] for m in detail["messages"]] == ["user", "assistant"]
# PATCH 消息（流式检查点：status/blocks/raw）
r = client.patch(
f"/api/sessions/{sess['id']}/messages/{skeleton['id']}",
json={
"status": "done",
"blocks": [{"type": "text", "html": "<p>最终答案</p>"}],
"raw": {"answer": "最终答案"},
},
)
assert r.status_code == 200, r.text
updated = r.json()
assert updated["status"] == "done"
assert updated["blocks"] == [{"type": "text", "html": "<p>最终答案</p>"}]
assert updated["raw"] == {"answer": "最终答案"}
# PATCH 会话标题 → title_manual=true
r = client.patch(f"/api/sessions/{sess['id']}", json={"title": "手工标题"})
assert r.status_code == 200
assert r.json()["meta"] == {"title_manual": True}
# PATCH 会话状态
r = client.patch(f"/api/sessions/{sess['id']}", json={"status": "done"})
assert r.status_code == 200
assert r.json()["status"] == "done"
# DELETE 204 + 级联
r = client.delete(f"/api/sessions/{sess['id']}")
assert r.status_code == 204
r = client.get(f"/api/sessions/{sess['id']}")
assert r.status_code == 404
body = r.json()
assert body["ok"] is False
assert body["error"]["code"] == "NOT_FOUND"
def test_not_found_envelopes(client):
cases = [
("get", "/api/sessions/nope", None),
("patch", "/api/sessions/nope", {"title": "x"}),
("delete", "/api/sessions/nope", None),
("post", "/api/sessions/nope/messages", {"role": "user", "text": "hi"}),
("get", "/api/sessions/nope/sources", None),
]
for method, url, body in cases:
kwargs = {"json": body} if body is not None else {}
r = getattr(client, method)(url, **kwargs)
assert r.status_code == 404, (method, url)
payload = r.json()
assert payload["ok"] is False
assert payload["error"]["code"] == "NOT_FOUND"
r = client.patch("/api/sessions/nope/messages/nope-msg", json={"status": "done"})
assert r.status_code == 404
assert r.json()["error"]["code"] == "NOT_FOUND"
def test_message_404_when_session_exists_but_message_missing(client):
r = client.post("/api/sessions", json={"title": "t"})
sid = r.json()["id"]
r = client.patch(f"/api/sessions/{sid}/messages/ghost", json={"status": "done"})
assert r.status_code == 404
assert r.json()["error"]["code"] == "NOT_FOUND"
def test_empty_title_falls_back_to_default(client):
r = client.post("/api/sessions", json={"title": " "})
assert r.json()["title"] == "新会话"
# ---------------------------------------------------------------------------
# 来源聚合（GET /api/sessions/{id}/sources）
# ---------------------------------------------------------------------------
def _source_item(i: str, paper: str | None, title: str) -> dict:
return {
"id": i, "title": title, "paper_id": paper, "chunk_id": None,
"pmid": None, "pmcid": None, "doi": None, "url": None,
"snippet": "…", "score": 0.9, "locator": None, "section": None,
"support_count": None, "type": "assertion", "metadata": {},
}
async def test_sources_aggregation(client, db):
r = client.post("/api/sessions", json={"title": "聚合"})
sid = r.json()["id"]
# 两个助手消息各带一个 sources 块
blocks1 = [
{
"type": "sources",
"items": [
_source_item("a1", "PAPER_A", "Paper A"),
_source_item("b1", "PAPER_B", "Paper B"),
_source_item("x1", None, "No paper id"),
],
}
]
blocks2 = [
{
"type": "sources",
"items": [
_source_item("a2", "PAPER_A", "Paper A"),
_source_item("x2", None, "No paper id"),
],
}
]
await db.execute(
"INSERT INTO messages (id, session_id, role, kind, status, blocks, raw, text, "
"created_at, updated_at) VALUES "
"('m1', ?, 'assistant', 'qa', 'done', ?, NULL, NULL, '2026-01-01T00:00:00Z', '2026-01-01T00:00:00Z'), "
"('m2', ?, 'assistant', 'qa', 'done', ?, NULL, NULL, '2026-01-01T00:00:00Z', '2026-01-01T00:00:00Z')",
(sid, dumps_json(blocks1), sid, dumps_json(blocks2)),
)
r = client.get(f"/api/sessions/{sid}/sources")
assert r.status_code == 200, r.text
body = r.json()
assert body["session_id"] == sid
# PAPER_A 出现 2 次（2 个消息各 1 条），PAPER_B 1 次；无 paper_id 的按 id 各 1 次
assert body["total"] == 5
by_key = {(s["paper_id"] or s["id"]): s for s in body["sources"]}
assert by_key["PAPER_A"]["count"] == 2
assert by_key["PAPER_A"]["title"] == "Paper A"
assert by_key["PAPER_B"]["count"] == 1
assert by_key["x1"]["count"] == 1
assert by_key["x2"]["count"] == 1
assert len(body["sources"]) == 4
backend/app/upstream.py
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"""upstream.py —— 上游健康探测（httpx 单例 + 5s TTL 缓存）与统一错误信封。
- `probe_all()`：并发探测 qa（/health 或 /info）、rag（/health）、ragAlt（/health）、
Neo4j（延迟导入 `app.services.neo4j.probe_neo4j()`，A3 提供；若模块缺失则置
`{ok:false}`）。探测超时 1s（settings.timeout_health），结果缓存 5s。
- `envelope(code, message, degraded, status)`：API.md §1 错误信封构造器，供所有 router 用。
"""
from __future__ import annotations
import asyncio
import logging
import time
from typing import Any, Awaitable, Callable
import httpx
from .config import get_settings
logger = logging.getLogger(__name__)
_client: httpx.AsyncClient | None = None
_httpx_lock = asyncio.Lock()
async def get_client() -> httpx.AsyncClient:
"""httpx.AsyncClient 单例（供 qa/kg/extraction 各代理层共用）。"""
global _client
if _client is None or _client.is_closed:
async with _httpx_lock:
if _client is None or _client.is_closed:
settings = get_settings()
_client = httpx.AsyncClient(
timeout=httpx.Timeout(
connect=settings.timeout_health,
read=settings.timeout_qa_chat,
write=10.0,
pool=5.0,
),
follow_redirects=True,
)
return _client
async def close_client() -> None:
"""app shutdown 钩子。"""
global _client
if _client is not None and not _client.is_closed:
await _client.aclose()
_client = None
# ---------------------------------------------------------------------------
# 错误信封（API.md §1）——供所有 router 用
# ---------------------------------------------------------------------------
_ERROR_MESSAGES: dict[str, str] = {
"UPSTREAM_DOWN": "知识问答服务当前不可用，请稍后重试",
"UPSTREAM_ERROR": "上游服务返回错误",
"TIMEOUT": "检索超时",
"INVALID_CITATION": "引用校验失败",
"NOT_FOUND": "资源不存在",
"VALIDATION": "请求参数不合法",
"INTERNAL": "服务内部错误",
}
def envelope(
code: str,
message: str | None = None,
degraded: bool = False,
status: int | None = None,
) -> tuple[dict[str, Any], int]:
"""构造 `{"ok": false, "error": {code, message, degraded}}` 信封 + HTTP 状态。
status 缺省时按 code 推导（API.md §1 表）：
UPSTREAM_DOWN=503, UPSTREAM_ERROR=502, TIMEOUT=504, INVALID_CITATION=502,
NOT_FOUND=404, VALIDATION=422, INTERNAL=500。
"""
if status is None:
status = {
"UPSTREAM_DOWN": 503,
"UPSTREAM_ERROR": 502,
"TIMEOUT": 504,
"INVALID_CITATION": 502,
"NOT_FOUND": 404,
"VALIDATION": 422,
"INTERNAL": 500,
}.get(code, 500)
if message is None:
message = _ERROR_MESSAGES.get(code, "未知错误")
return {
"ok": False,
"error": {"code": code, "message": message, "degraded": degraded},
}, status
# ---------------------------------------------------------------------------
# 健康探测
# ---------------------------------------------------------------------------
_probe_lock = asyncio.Lock()
_probe_at: float = 0.0
_probe_result: dict[str, Any] | None = None
async def _get_json(url: str) -> tuple[bool, Any]:
"""1s 超时 GET + JSON 解析；任何失败返回 (False, None)，不抛错。"""
try:
client = await get_client()
resp = await client.get(url, timeout=httpx.Timeout(get_settings().timeout_health))
if resp.status_code >= 400:
return False, None
return True, resp.json()
except Exception:
return False, None
async def _probe_qa() -> dict[str, Any]:
settings = get_settings()
base = settings.qa_base_url.rstrip("/")
# 按 DISCOVERY.md：health 为可靠探测端点；其不可用时回落 info
ok, data = await _get_json(f"{base}{settings.qa_api_path}/health")
if not ok:
ok, data = await _get_json(f"{base}{settings.qa_api_path}/info")
if not ok or not isinstance(data, dict):
return {"ok": False}
version = data.get("version") or data.get("app_version")
return {"ok": True, "version": version}
async def _probe_rag(base_url: str) -> dict[str, Any]:
ok, data = await _get_json(f"{base_url.rstrip('/')}/health")
if not ok:
return {"ok": False}
return {"ok": True}
async def _probe_neo4j() -> dict[str, Any]:
"""Neo4j 状态由 A3 提供（app.services.neo4j.probe_neo4j）。
延迟导入：A3 未实现时 catch ImportError，置 {ok:false}。
"""
try:
from .services.neo4j import probe_neo4j
except ImportError:
return {"ok": False}
try:
result = await probe_neo4j()
except Exception:
return {"ok": False}
if not isinstance(result, dict):
return {"ok": False}
out: dict[str, Any] = {"ok": bool(result.get("ok"))}
if result.get("active"):
out["active"] = result["active"]
if result.get("detail"):
out["detail"] = result["detail"]
return out
async def _probe_all_uncached() -> dict[str, Any]:
settings = get_settings()
qa_t, rag_t, alt_t, neo_t = await asyncio.gather(
_probe_qa(),
_probe_rag(settings.rag_base_url),
_probe_rag(settings.rag_alt_base_url),
_probe_neo4j(),
)
return {"qa": qa_t, "rag": rag_t, "ragAlt": alt_t, "neo4j": neo_t}
async def probe_all(force: bool = False) -> dict[str, Any]:
"""并发探测全部上游；结果缓存 settings.health_cache_ttl 秒（默认 5）。"""
global _probe_at, _probe_result
now = time.monotonic()
if not force and _probe_result is not None:
if now - _probe_at < get_settings().health_cache_ttl:
return _probe_result
async with _probe_lock:
now = time.monotonic()
if not force and _probe_result is not None:
if now - _probe_at < get_settings().health_cache_ttl:
return _probe_result
result = await _probe_all_uncached()
_probe_at = time.monotonic()
_probe_result = result
return result
async def probe_all_refresh() -> dict[str, Any]:
"""强制刷新（无缓存）。"""
return await probe_all(force=True)
# 供 A2/A3 复用的类型别名
UpstreamProbe = Callable[..., Awaitable[dict[str, Any]]]
backend/mock/fixtures/extraction_job.json
+46
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@@ -0,0 +1,46 @@
{
"job_id": "2943168e9c48",
"title": "wang2019.pdf",
"status": "completed",
"stage": "completed",
"progress_pct": 100,
"message": "MinerU+LLM 方法学提取完成",
"paper_id": "demo_paper",
"family": "",
"stats": {
"stage_count": 6,
"species_count": 1,
"figure_table_caption_count": 9,
"figure_table_stage_count": 12
},
"detail": {
"updated_at": "2026-08-07T09:42:17",
"job_id": "2943168e9c48",
"status": "completed",
"stage": "completed",
"substage": "done",
"message": "MinerU+LLM 方法学提取完成",
"source_path": "/home/xzq/5090/PlantAI-rag/data/evaluation/methodology_upload_jobs/2943168e9c48/upload/wang2019.pdf",
"content_list": "/home/xzq/5090/PlantAI-rag/data/evaluation/methodology_upload_jobs/2943168e9c48/mineru/wang2019/txt/wang2019_content_list.json",
"output_dir": "/home/xzq/5090/PlantAI-rag/methodology_batch_demo_paper_2943168e9c48",
"figure_table_warning": ""
},
"plan": {
"plan_id": "plan_2943168e9c48",
"paper_id": "demo_paper",
"gene_family": "",
"source_batch_dir": "/home/xzq/5090/PlantAI-rag/methodology_batch_demo_paper_2943168e9c48",
"stages": [
{
"observation_id": "obs_1",
"literature_stage": "gene_family_identification",
"literature_tools": [
{ "tool_name": "hmmsearch", "version": "3.3.2", "role": "domain search", "url": "", "parameters": "E-value 1e-5" }
],
"method_components": [],
"literature_parameters": [],
"inputs": []
}
]
}
}
backend/mock/fixtures/extraction_jobs.json
+81
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{
"jobs": [
{
"job_id": "2943168e9c48",
"title": "wang2019.pdf",
"status": "completed",
"stage": "completed",
"substage": "done",
"progress_pct": 100,
"message": "MinerU+LLM 方法学提取完成",
"paper_id": "demo_paper",
"family": "",
"source_filename": "wang2019.pdf",
"stage_count": 6,
"species_count": 1,
"figure_table_caption_count": 9,
"figure_table_stage_count": 12,
"updated_at": "2026-08-07T09:42:17",
"config_url": "/api/v1/methodology/extract-jobs/2943168e9c48/bbav5-config",
"methodology_plan_url": "/api/v1/methodology/extract-jobs/2943168e9c48/plan"
},
{
"job_id": "a1b2c3d4e5f6",
"title": "Pecan_SPL_2021.pdf",
"status": "running",
"stage": "llm",
"substage": null,
"progress_pct": 75,
"message": "LLM 关系抽取中…",
"paper_id": "pecan_spl",
"family": "SPL",
"source_filename": "Pecan_SPL_2021.pdf",
"stage_count": 4,
"species_count": 1,
"figure_table_caption_count": 3,
"figure_table_stage_count": 4,
"updated_at": "2026-08-25T09:52:00",
"config_url": null,
"methodology_plan_url": null
},
{
"job_id": "b2c3d4e5f6a7",
"title": "Rice_NAC_2020.pdf",
"status": "failed",
"stage": "failed",
"substage": null,
"progress_pct": null,
"message": "MinerU 解析失败：/home/xia-lab/miniconda3/envs/minerupy311/bin/mineru 不存在",
"paper_id": "rice_nac",
"family": "NAC",
"source_filename": "Rice_NAC_2020.pdf",
"stage_count": 0,
"species_count": 0,
"figure_table_caption_count": 0,
"figure_table_stage_count": 0,
"updated_at": "2026-08-24T14:38:00",
"config_url": null,
"methodology_plan_url": null
},
{
"job_id": "c3d4e5f6a7b8",
"title": "At_HDZIP_2018.pdf",
"status": "queued",
"stage": "queued",
"substage": null,
"progress_pct": 5,
"message": "排队等待处理",
"paper_id": "at_hdzip",
"family": "HD-ZIP",
"source_filename": "At_HDZIP_2018.pdf",
"stage_count": 0,
"species_count": 0,
"figure_table_caption_count": 0,
"figure_table_stage_count": 0,
"updated_at": "2026-08-24T16:00:00",
"config_url": null,
"methodology_plan_url": null
}
],
"count": 4
}
backend/mock/fixtures/extraction_processing_status.json
+3
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{
"rows": []
}
backend/mock/fixtures/extraction_summary.json
+3
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@@ -0,0 +1,3 @@
{
"rows": []
}
backend/mock/fixtures/extraction_upload.json
+6
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@@ -0,0 +1,6 @@
{
"success": true,
"job_id": "d4e5f6a7b8c9",
"status_url": "/api/v1/methodology/extract-jobs/d4e5f6a7b8c9",
"message": "已提交抽取任务"
}
backend/mock/fixtures/health.json
+11
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@@ -0,0 +1,11 @@
{
"status": "ok",
"version": "0.1.0",
"upstreams": {
"qa": { "ok": true, "version": "1.1.73-assertion-anchored" },
"rag": { "ok": true },
"ragAlt": { "ok": true },
"neo4j": { "ok": true, "active": "neo4j-plant-srt-pc2025-v3-20260817-normalized" }
},
"db": { "ok": true, "sessions": 12 }
}
backend/mock/fixtures/kg_entities.json
+10
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@@ -0,0 +1,10 @@
{
"query": "OsSPL",
"results": [
{ "id": "cent_ospl14", "name": "OsSPL14", "type": "gene", "support_count": 18 },
{ "id": "cent_ospl7", "name": "OsSPL7", "type": "gene", "support_count": 9 },
{ "id": "cent_ospl16", "name": "OsSPL16", "type": "gene", "support_count": 7 },
{ "id": "cent_ospl2", "name": "OsSPL2", "type": "gene", "support_count": 5 },
{ "id": "cent_spl_family", "name": "SPL gene family", "type": "gene_family", "support_count": 120 }
]
}
backend/mock/fixtures/kg_entity.json
+13
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@@ -0,0 +1,13 @@
{
"id": "cent_ospl14",
"name": "OsSPL14",
"type": "gene",
"properties": {
"canonical_id": "cent_ospl14",
"name": "OsSPL14",
"name_norm": "osspl14",
"entity_type": "gene",
"rule": "exact_name_norm_same_type",
"support_count": 18
}
}
backend/mock/fixtures/kg_neighborhood.json
+20
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@@ -0,0 +1,20 @@
{
"center": "cent_ospl14",
"center_name": "OsSPL14",
"depth": 1,
"nodes": [
{ "id": "cent_ospl14", "label": "OsSPL14", "type": "gene" },
{ "id": "cent_panicle", "label": "panicle", "type": "experimental_material" },
{ "id": "cent_branching", "label": "panicle branching", "type": "process" },
{ "id": "cent_mir156", "label": "miR156", "type": "sequence_feature" },
{ "id": "cent_ospl7", "label": "OsSPL7", "type": "gene" },
{ "id": "cent_ospl16", "label": "OsSPL16", "type": "gene" }
],
"edges": [
{ "source": "cent_ospl14", "target": "cent_panicle", "relation": "expressed_in", "label": "expressed_in", "assertion_id": "cass_aaaa01", "paper_count": 5, "support_count": 9, "title": "Regulation of OsSPL14 by OsmiR156 defines ideal plant architecture in rice", "doi": "10.1038/ng.591", "pmid": "20393464" },
{ "source": "cent_ospl14", "target": "cent_branching", "relation": "involved_in", "label": "involved_in", "assertion_id": "cass_aaaa02", "paper_count": 3, "support_count": 4, "title": "Regulation of OsSPL14 by OsmiR156 defines ideal plant architecture in rice", "doi": "10.1038/ng.591", "pmid": "20393464" },
{ "source": "cent_ospl14", "target": "cent_mir156", "relation": "regulated_by", "label": "regulated_by", "assertion_id": "cass_aaaa03", "paper_count": 2, "support_count": 2, "title": "Regulation of OsSPL14 by OsmiR156 defines ideal plant architecture in rice", "doi": "10.1038/ng.591", "pmid": "20393464" },
{ "source": "cent_ospl7", "target": "cent_branching", "relation": "involved_in", "label": "involved_in", "assertion_id": "cass_bbbb01", "paper_count": 1, "support_count": 1, "title": "OsSPL7 regulates panicle development in rice", "doi": null, "pmid": "22429691" },
{ "source": "cent_ospl16", "target": "cent_panicle", "relation": "expressed_in", "label": "expressed_in", "assertion_id": "cass_cccc01", "paper_count": 1, "support_count": 1, "title": "OsSPL16 controls grain size and quality via the GW8 pathway", "doi": "10.1038/ng.2327", "pmid": "22635119" }
]
}
backend/mock/fixtures/kg_overview.json
+18
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@@ -0,0 +1,18 @@
{
"entities_by_type": [
{ "type": "gene", "count": 43210 },
{ "type": "gene_family", "count": 1288 },
{ "type": "phenotype", "count": 1560 },
{ "type": "process", "count": 8912 },
{ "type": "trait", "count": 2341 },
{ "type": "experimental_material", "count": 340 },
{ "type": "method", "count": 1204 }
],
"relations_by_category": [
{ "type": "characterized_in", "count": 12033 },
{ "type": "involved_in", "count": 9812 },
{ "type": "regulated_by", "count": 7780 },
{ "type": "identified_in", "count": 5620 },
{ "type": "collinear_with", "count": 9350 }
]
}
backend/mock/fixtures/kg_status.json
+11
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@@ -0,0 +1,11 @@
{
"ok": true,
"active": "neo4j-plant-srt-direct-v1-full",
"schema": "canonical",
"labels": ["SRT2CanonicalEntity", "SRT2CanonicalAssertion", "SRT2Paper"],
"relationship_types": ["SRT2_CANONICAL_ASSERTS", "SRT2_SUPPORTED_BY"],
"entity_count": 3820996,
"assertion_count": 8246875,
"name_index": "srt2_canonical_entity_name_norm",
"fulltext_index": null
}
backend/mock/fixtures/qa_chat.json
+145
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{
"query_id": "q-mock-001",
"version": "1.1.73-assertion-anchored",
"mode": "chat",
"answer": "水稻 **SPL**（SQUAMOSA PROMOTER BINDING PROTEIN-LIKE）基因家族共有 **19 个成员**，主要功能包括：\n\n1. **穗部形态建成**：*OsSPL14*（IPA1/WFP）通过调控分蘖数与穗分枝，是理想株型的关键因子\n2. **生育期调控**：部分成员参与抽穗期的光周期响应\n3. **miR156 调控网络**：多数成员受 miR156 转录后调控，随植株发育表达量上升\n\n| 成员 | 关键功能 | 证据来源 |\n|------|---------|----------|\n| OsSPL14 | 穗分枝、株型建成 | PMID 20393464 |\n| OsSPL7 | 穗发育负调控 | PMID 22429691 |\n| OsSPL16 | 籽粒大小与品质 | PMID 22635119 |\n",
"source_count": 4,
"sources": [
{
"id": "src-1",
"title": "Regulation of OsSPL14 by OsmiR156 defines ideal plant architecture in rice",
"paper_id": "PMID20393464",
"chunk_id": "chunk_20393464_12",
"pmid": "20393464",
"pmcid": null,
"doi": "10.1038/ng.591",
"url": "https://doi.org/10.1038/ng.591",
"snippet": "OsSPL14 positively regulates panicle branching and grain yield in rice, acting as a key factor of ideal plant architecture.",
"score": 0.92,
"locator": "Abstract",
"section": "Results",
"support_count": 3,
"type": "assertion",
"metadata": { "evidence_confidence": "high" }
},
{
"id": "src-2",
"title": "Genome-wide identification of the SPL gene family in Tartary buckwheat",
"paper_id": "PMID31286919",
"chunk_id": "chunk_31286919_07",
"pmid": "31286919",
"pmcid": "PMC6612345",
"doi": "10.1186/s12870-019-1903-y",
"url": "https://doi.org/10.1186/s12870-019-1903-y",
"snippet": "A total of 28 SPL genes were identified in Fagopyrum tataricum genome and their expression profiles were analyzed across tissues.",
"score": 0.85,
"locator": "Results",
"section": "Results",
"support_count": 2,
"type": "assertion",
"metadata": {}
},
{
"id": "src-3",
"title": "OsSPL16 controls grain size and quality via the GW8 pathway",
"paper_id": "PMID22635119",
"chunk_id": "chunk_22635119_03",
"pmid": "22635119",
"pmcid": null,
"doi": "10.1038/ng.2327",
"url": "https://doi.org/10.1038/ng.2327",
"snippet": "OsSPL16 positively regulates cell proliferation and promotes grain width, improving yield and quality.",
"score": 0.81,
"locator": "Abstract",
"section": "Results",
"support_count": 1,
"type": "assertion",
"metadata": {}
},
{
"id": "src-4",
"title": "OsSPL7 regulates panicle development in rice",
"paper_id": "PMID22429691",
"chunk_id": "chunk_22429691_09",
"pmid": "22429691",
"pmcid": "PMC3301234",
"doi": null,
"url": "https://pubmed.ncbi.nlm.nih.gov/22429691/",
"snippet": "OsSPL7 acts as a negative regulator of panicle branching in rice.",
"score": 0.72,
"locator": "Results",
"section": "Results",
"support_count": 1,
"type": "assertion",
"metadata": {}
}
],
"used_sources": [
{
"id": "src-1",
"title": "Regulation of OsSPL14 by OsmiR156 defines ideal plant architecture in rice",
"paper_id": "PMID20393464",
"chunk_id": "chunk_20393464_12",
"pmid": "20393464",
"pmcid": null,
"doi": "10.1038/ng.591",
"url": "https://doi.org/10.1038/ng.591",
"snippet": "OsSPL14 positively regulates panicle branching and grain yield in rice.",
"score": 0.92,
"locator": "Abstract",
"section": "Results",
"support_count": 3,
"type": "assertion",
"metadata": {}
}
],
"chains": [
{
"chain_id": "c1",
"hops": [
{ "source": "OsSPL14", "target": "panicle", "relation": "expressed_in", "source_type": "Gene", "target_type": "Tissue", "paper_id": "PMID20393464", "pmid": "20393464", "pmcid": null, "doi": "10.1038/ng.591" },
{ "source": "OsSPL14", "target": "panicle branching", "relation": "involved_in", "source_type": "Gene", "target_type": "Process", "paper_id": "PMID20393464", "pmid": "20393464", "pmcid": null, "doi": "10.1038/ng.591" }
]
},
{
"chain_id": "c2",
"hops": [
{ "source": "OsSPL14", "target": "miR156", "relation": "regulated_by", "source_type": "Gene", "target_type": "Molecule", "paper_id": "PMID20393464", "pmid": "20393464", "pmcid": null, "doi": "10.1038/ng.591" }
]
}
],
"graph": {
"nodes": [
{ "id": "OsSPL14", "label": "OsSPL14", "type": "Gene" },
{ "id": "panicle", "label": "panicle", "type": "Tissue" },
{ "id": "panicle branching", "label": "panicle branching", "type": "Process" },
{ "id": "miR156", "label": "miR156", "type": "Molecule" },
{ "id": "OsSPL16", "label": "OsSPL16", "type": "Gene" },
{ "id": "grain width", "label": "grain width", "type": "Trait" }
],
"edges": [
{ "source": "OsSPL14", "target": "panicle", "relation": "expressed_in", "label": "expressed_in", "chain_id": "c1", "hop": 1, "paper_id": "PMID20393464", "pmid": "20393464", "pmcid": null, "doi": "10.1038/ng.591" },
{ "source": "OsSPL14", "target": "panicle branching", "relation": "involved_in", "label": "involved_in", "chain_id": "c1", "hop": 2, "paper_id": "PMID20393464", "pmid": "20393464", "pmcid": null, "doi": "10.1038/ng.591" },
{ "source": "OsSPL14", "target": "miR156", "relation": "regulated_by", "label": "regulated_by", "chain_id": "c2", "hop": 1, "paper_id": "PMID20393464", "pmid": "20393464", "pmcid": null, "doi": "10.1038/ng.591" },
{ "source": "OsSPL16", "target": "grain width", "relation": "involved_in", "label": "involved_in", "chain_id": "c3", "hop": 1, "paper_id": "PMID22635119", "pmid": "22635119", "pmcid": null, "doi": "10.1038/ng.2327" }
],
"chains": [
{
"chain_id": "c1",
"hops": [
{ "source": "OsSPL14", "target": "panicle", "relation": "expressed_in", "source_type": "Gene", "target_type": "Tissue", "paper_id": "PMID20393464", "pmid": "20393464", "pmcid": null, "doi": "10.1038/ng.591" },
{ "source": "OsSPL14", "target": "panicle branching", "relation": "involved_in", "source_type": "Gene", "target_type": "Process", "paper_id": "PMID20393464", "pmid": "20393464", "pmcid": null, "doi": "10.1038/ng.591" }
]
}
]
},
"retrieval_plan": {
"anchor_entity": "SPL gene family",
"relation_family": "function",
"preferred_papers": ["PMID20393464", "PMID31286919"]
},
"retrieval_notes": "graph-balanced top30 evidence chain, with 15 graph-derived items",
"timing": { "total_s": 41.2, "retrieval_s": 22.1, "generation_s": 19.1 },
"citation_map": { "1": "PMID20393464", "2": "PMID31286919", "3": "PMID22635119" },
"raw": {}
}
backend/mock/fixtures/qa_chat_empty.json
+16
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{
"query_id": "q-mock-empty-001",
"version": "1.1.73-assertion-anchored",
"mode": "chat",
"answer": "未找到与该问题直接相关的文献证据。建议调整关键词或换一个更具体的问法。",
"source_count": 0,
"sources": [],
"used_sources": [],
"chains": [],
"graph": { "nodes": [], "edges": [], "chains": [] },
"retrieval_plan": null,
"retrieval_notes": "zero evidence retained",
"timing": { "total_s": 8.1 },
"citation_map": {},
"raw": {}
}
backend/mock/fixtures/qa_info.json
+35
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@@ -0,0 +1,35 @@
{
"name": "QA V1.1.73 Assertion-Anchored Full Graph",
"version": "1.1.73-assertion-anchored",
"pipeline": [
"question",
"provisional answer",
"structured planner",
"direct Qdrant recall over V15/V16 canonical assertions",
"canonical seed extraction",
"Neo4j exact seed retrieval",
"Neo4j bounded graph expansion",
"BGE rerank",
"graph-balanced top30 evidence chain",
"BGE top10 Qdrant source seed selection",
"native Neo4j two-hop chain retrieval",
"final LLM answer composition"
],
"config": {
"max_rounds": 1,
"max_evidence": 40,
"provisional_draft": false,
"second_round": true,
"bge_rerank": true,
"graph_schema": "canonical",
"knowledge_chain_defaults": {
"chain_top_k": 3,
"chain_hops": 2,
"chain_max_edges": 12,
"chain_max_nodes": 10,
"chain_mode": "display",
"native_chain_max_hops": 3,
"native_chain_top_k": 5
}
}
}
backend/mock/fixtures/qa_search.json
+45
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@@ -0,0 +1,45 @@
{
"query_id": "q-mock-search-001",
"version": "1.1.73-assertion-anchored",
"mode": "search",
"answer": "",
"source_count": 4,
"sources": [
{
"id": "src-1", "title": "Regulation of OsSPL14 by OsmiR156 defines ideal plant architecture in rice",
"paper_id": "PMID20393464", "chunk_id": "chunk_20393464_12", "pmid": "20393464", "pmcid": null,
"doi": "10.1038/ng.591", "url": "https://doi.org/10.1038/ng.591",
"snippet": "OsSPL14 positively regulates panicle branching and grain yield in rice.", "score": 0.92,
"locator": "Abstract", "section": "Results", "support_count": 3, "type": "assertion", "metadata": {}
},
{
"id": "src-2", "title": "Genome-wide identification of the SPL gene family in Tartary buckwheat",
"paper_id": "PMID31286919", "chunk_id": "chunk_31286919_07", "pmid": "31286919", "pmcid": "PMC6612345",
"doi": "10.1186/s12870-019-1903-y", "url": "https://doi.org/10.1186/s12870-019-1903-y",
"snippet": "28 SPL genes identified in Fagopyrum tataricum.", "score": 0.85,
"locator": "Results", "section": "Results", "support_count": 2, "type": "assertion", "metadata": {}
},
{
"id": "src-3", "title": "OsSPL16 controls grain size and quality via the GW8 pathway",
"paper_id": "PMID22635119", "chunk_id": "chunk_22635119_03", "pmid": "22635119", "pmcid": null,
"doi": "10.1038/ng.2327", "url": "https://doi.org/10.1038/ng.2327",
"snippet": "OsSPL16 positively regulates cell proliferation.", "score": 0.81,
"locator": "Abstract", "section": "Results", "support_count": 1, "type": "assertion", "metadata": {}
},
{
"id": "src-4", "title": "OsSPL7 regulates panicle development in rice",
"paper_id": "PMID22429691", "chunk_id": "chunk_22429691_09", "pmid": "22429691", "pmcid": "PMC3301234",
"doi": null, "url": "https://pubmed.ncbi.nlm.nih.gov/22429691/",
"snippet": "OsSPL7 acts as a negative regulator of panicle branching.", "score": 0.72,
"locator": "Results", "section": "Results", "support_count": 1, "type": "assertion", "metadata": {}
}
],
"used_sources": [],
"chains": [],
"graph": { "nodes": [], "edges": [], "chains": [] },
"retrieval_plan": null,
"retrieval_notes": "retrieval only, no LLM answer",
"timing": { "total_s": 4.7 },
"citation_map": {},
"raw": {}
}
backend/mock/fixtures/session_created.json
+9
View File
@@ -0,0 +1,9 @@
{
"id": "sess-new-mock",
"title": "新会话",
"status": "idle",
"created_at": "2026-08-25T12:00:00Z",
"updated_at": "2026-08-25T12:00:00Z",
"message_count": 0,
"meta": { "title_manual": false }
}
backend/mock/fixtures/session_detail.json
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{
"id": "sess-003",
"title": "水稻SPL基因家族的功能研究有哪些关键进展？",
"status": "done",
"created_at": "2026-08-25T09:41:00Z",
"updated_at": "2026-08-25T10:02:00Z",
"meta": { "title_manual": false },
"messages": [
{
"id": "msg-001",
"role": "user",
"kind": "qa",
"status": "done",
"blocks": [],
"raw": null,
"text": "水稻SPL基因家族的功能研究有哪些关键进展？",
"created_at": "2026-08-25T09:41:00Z",
"updated_at": "2026-08-25T09:41:00Z"
},
{
"id": "msg-002",
"role": "assistant",
"kind": "qa",
"status": "done",
"blocks": [
{ "type": "text", "html": "<p>水稻 <strong>SPL</strong>（SQUAMOSA PROMOTER BINDING PROTEIN-LIKE）基因家族共有 <strong>19 个成员</strong>，主要功能包括：</p><ol><li><strong>穗部形态建成</strong>：<em>OsSPL14</em>（IPA1/WFP）通过调控分蘖数与穗分枝，是理想株型的关键因子</li><li><strong>生育期调控</strong>：部分成员参与抽穗期的光周期响应</li><li><strong>miR156 调控网络</strong>：多数成员受 miR156 转录后调控</li></ol>" },
{ "type": "table", "headers": ["成员", "关键功能", "证据来源"], "rows": [
["OsSPL14", "穗分枝、株型建成", "PMID 20393464"],
["OsSPL7", "穗发育负调控", "PMID 22429691"],
["OsSPL16", "籽粒大小与品质", "PMID 22635119"]
] },
{ "type": "pipeline", "status": "done", "steps": [
{ "name": "规划", "state": "done", "desc": "意图理解与实体识别", "phase": "planning" },
{ "name": "检索", "state": "done", "desc": "多路检索与子问题召回", "phase": "retrieval" },
{ "name": "证据", "state": "done", "desc": "证据筛选与交叉验证", "phase": "evidence" },
{ "name": "生成", "state": "done", "desc": "答案生成与引用锚定", "phase": "generation" }
] },
{ "type": "tool", "icon": "🧬", "name": "已识别实体", "status": "done", "dur": "0.8s", "open": false, "phase": "planning",
"params": "SPL\nOsSPL14\nrice\npanicle", "result": "4 个实体", "logs": [
{ "text": "> 实体识别完成: 4 entities", "cls": "log-ok" }
] },
{ "type": "tool", "icon": "🔬", "name": "证据筛选", "status": "done", "dur": "3.2s", "open": false, "phase": "evidence",
"params": "accepted_count: 4\npublication_count: 4", "result": "4 条证据通过审核", "logs": [
{ "text": "> 候选证据 18 条", "cls": "log-run" },
{ "text": "> 采纳 4 条（high confidence）", "cls": "log-ok" }
] },
{ "type": "sources", "items": [] },
{ "type": "graph", "nodes": [
{ "id": "OsSPL14", "label": "OsSPL14", "type": "Gene" },
{ "id": "panicle", "label": "panicle", "type": "Tissue" },
{ "id": "miR156", "label": "miR156", "type": "Molecule" }
], "edges": [
{ "source": "OsSPL14", "target": "panicle", "relation": "expressed_in", "label": "expressed_in", "chain_id": "c1", "hop": 1, "paper_id": "PMID20393464", "pmid": "20393464", "pmcid": null, "doi": "10.1038/ng.591" },
{ "source": "OsSPL14", "target": "miR156", "relation": "regulated_by", "label": "regulated_by", "chain_id": "c2", "hop": 1, "paper_id": "PMID20393464", "pmid": "20393464", "pmcid": null, "doi": "10.1038/ng.591" }
], "chains": [] }
],
"raw": {},
"created_at": "2026-08-25T09:41:00Z",
"updated_at": "2026-08-25T10:02:00Z"
}
]
}
backend/mock/fixtures/sessions.json
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[
{ "id": "sess-003", "title": "水稻SPL基因家族的功能研究有哪些关键进展？", "status": "done", "created_at": "2026-08-25T09:41:00Z", "updated_at": "2026-08-25T10:02:00Z", "message_count": 2, "meta": { "title_manual": false } },
{ "id": "sess-002", "title": "拟南芥HD-ZIP家族的生物学功能", "status": "done", "created_at": "2026-08-25T08:10:00Z", "updated_at": "2026-08-25T08:15:00Z", "message_count": 2, "meta": { "title_manual": false } },
{ "id": "sess-001", "title": "文献检索记录", "status": "error", "created_at": "2026-08-24T15:20:00Z", "updated_at": "2026-08-24T15:23:00Z", "message_count": 2, "meta": { "title_manual": true } },
{ "id": "sess-000", "title": "NAC 转录因子研究综述", "status": "done", "created_at": "2026-08-23T11:05:00Z", "updated_at": "2026-08-23T11:30:00Z", "message_count": 4, "meta": { "title_manual": false } },
{ "id": "sess-099", "title": "番茄TCP家族选择压力", "status": "idle", "created_at": "2026-08-20T09:00:00Z", "updated_at": "2026-08-20T09:00:00Z", "message_count": 0, "meta": { "title_manual": false } }
]
backend/mock/fixtures/sources_aggregate.json
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{
"session_id": "sess-003",
"total": 4,
"sources": [
{
"id": "src-1", "title": "Regulation of OsSPL14 by OsmiR156 defines ideal plant architecture in rice",
"paper_id": "PMID20393464", "chunk_id": "chunk_20393464_12", "pmid": "20393464", "pmcid": null,
"doi": "10.1038/ng.591", "url": "https://doi.org/10.1038/ng.591",
"snippet": "OsSPL14 positively regulates panicle branching and grain yield in rice.",
"score": 0.92, "locator": "Abstract", "section": "Results", "support_count": 3,
"type": "assertion", "metadata": {}, "count": 2
},
{
"id": "src-2", "title": "Genome-wide identification of the SPL gene family in Tartary buckwheat",
"paper_id": "PMID31286919", "chunk_id": "chunk_31286919_07", "pmid": "31286919", "pmcid": "PMC6612345",
"doi": "10.1186/s12870-019-1903-y", "url": "https://doi.org/10.1186/s12870-019-1903-y",
"snippet": "28 SPL genes identified in Fagopyrum tataricum.",
"score": 0.85, "locator": "Results", "section": "Results", "support_count": 2,
"type": "assertion", "metadata": {}, "count": 1
},
{
"id": "src-3", "title": "OsSPL16 controls grain size and quality via the GW8 pathway",
"paper_id": "PMID22635119", "chunk_id": "chunk_22635119_03", "pmid": "22635119", "pmcid": null,
"doi": "10.1038/ng.2327", "url": "https://doi.org/10.1038/ng.2327",
"snippet": "OsSPL16 positively regulates cell proliferation.",
"score": 0.81, "locator": "Abstract", "section": "Results", "support_count": 1,
"type": "assertion", "metadata": {}, "count": 1
},
{
"id": "src-4", "title": "OsSPL7 regulates panicle development in rice",
"paper_id": "PMID22429691", "chunk_id": "chunk_22429691_09", "pmid": "22429691", "pmcid": "PMC3301234",
"doi": null, "url": "https://pubmed.ncbi.nlm.nih.gov/22429691/",
"snippet": "OsSPL7 acts as a negative regulator of panicle branching.",
"score": 0.72, "locator": "Results", "section": "Results", "support_count": 1,
"type": "assertion", "metadata": {}, "count": 1
}
]
}
backend/mock/fixtures/sse_frames.json
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[
{ "stage": "understanding_started", "phase": "planning", "label": "开始理解问题", "details": {}, "delay_ms": 400 },
{ "stage": "entities_identified", "phase": "planning", "label": "已识别实体", "details": { "entities": ["SPL", "OsSPL14", "rice", "panicle"] }, "delay_ms": 800 },
{ "stage": "related_search_started", "phase": "planning", "label": "开始关联检索", "details": {}, "delay_ms": 600 },
{ "stage": "concepts_found", "phase": "retrieval", "label": "发现相关概念", "details": { "concepts": ["panicle branching", "grain yield", "miR156"], "concept_count": 3, "connection_count": 12 }, "delay_ms": 900 },
{ "stage": "subquestion_retrieved", "phase": "retrieval", "label": "子问题召回完成", "details": { "candidate_count": 18 }, "delay_ms": 900 },
{ "stage": "agent_review_started", "phase": "retrieval", "label": "开始智能体审核", "details": {}, "delay_ms": 600 },
{ "stage": "subquestion_retry_started", "phase": "retrieval", "label": "子问题重试中", "details": {}, "delay_ms": 600 },
{ "stage": "evidence_accepted", "phase": "evidence", "label": "证据已采纳", "details": { "accepted_count": 6 }, "delay_ms": 800 },
{ "stage": "evidence_review_completed", "phase": "evidence", "label": "证据审核完成", "details": { "accepted_count": 4, "publication_count": 4 }, "delay_ms": 700 },
{ "stage": "answer_generation_started", "phase": "generation", "label": "开始生成答案", "details": {}, "delay_ms": 600 },
{ "stage": "completed", "phase": "done", "label": "检索完成", "details": {}, "delay_ms": 400 },
"__complete__"
]
backend/mock/fixtures/upstream_real_shape_sample.json
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{
"_comment": "真实上游 7920 /api/v1/qa-v1-1-73/search 响应形态样本（DISCOVERY.md §4.1 结构，已截断）——供 normalize 单元测试，不直接作为 API 响应。",
"success": true,
"version": "1.1.73",
"query_id": "20260825_000715_49f801a9",
"question": "What is the SPL gene family?",
"answer": "",
"citation_validation": { "valid": true, "cited_pmids": ["28655295"], "unknown_pmids": [] },
"sources": [
{
"evidence_id": "S1",
"kb": "V16/V15",
"source": "SPL gene family",
"relation": "characterized_in",
"target": "Oryza sativa",
"evidence": "## Phylogenetic analysis of the PeSPL genes ...",
"paper_id": "PMC5488377_12864_2017_Article_3882",
"title": "Genome-wide analysis of the SPL gene family in pecan",
"pmid": "28655295",
"pmcid": "PMC5488377",
"doi": "10.1186/s12864-017-3882-4",
"species": "",
"section": "",
"output_layer": "main_kg",
"claim_scope": "",
"relation_id": "cass_d12f62f9abffbd903b97",
"retrieval_methods": ["qdrant_vector"],
"retrieval_queries": ["SPL gene family", "SBP box domain"],
"vector_score": 0.714,
"rrf_score": 1.114,
"rerank_score": 0.989,
"final_score": 0.982,
"cluster_id": "clu_0f8da21642adc4f0",
"cluster_member_count": 3,
"cluster_member_assertion_ids": ["cass_a", "cass_b", "cass_c"],
"cluster_member_paper_ids": ["PMC5488377_12864_2017_Article_3882"],
"cluster_member_pmids": ["28655295"],
"raw": {
"kb_version": "V16",
"source_system": "srt",
"assertion_id": "cass_d12f62f9abffbd903b97",
"source": "SPL gene family",
"relation": "characterized_in",
"target": "Oryza sativa",
"evidence": "## Phylogenetic analysis ...",
"best_evidence": "The SPL gene family is characterized in rice.",
"paper_id": "PMC5488377_12864_2017_Article_3882",
"support_count": 12,
"paper_count": 5,
"quality_score": 0.91,
"best_score": 0.95
}
}
],
"source_count": 1,
"evidence_chain_top30": [],
"provisional_answer": "",
"retrieval_hypothesis": { "question_type": "raw_question", "direct_question_entities": [], "hypothesized_entities": [], "relation_intents": [], "concept_queries": [], "answer_slots": [], "atomic_claims": [], "negative_constraints": [], "parse_status": "ok" },
"query_plan": {
"queries": {},
"alias_audit": {},
"agentic_plan": { "anchor_entity": "SPL gene family", "relation_family": "characterized_in" }
},
"retrieval_audit": { "qdrant": [], "seed_extraction": {}, "neo4j": [], "dedup": {} },
"graph_knowledge_chains": {
"mode": "neo4j_native_path",
"chain_policy": "display",
"chains": [
{
"chain_id": "G1",
"chain_source": "neo4j_native_path",
"hop_count": 2,
"path_score": 0.861,
"start": "SPL gene",
"end": "18 SPL genes in rice",
"bridge_entities": [],
"hops": [
{
"hop_index": 0,
"from_id": "cent_spl", "from_name": "SPL gene",
"to_id": "cent_oryza", "to_name": "Oryza sativa",
"source": "SPL gene", "relation": "characterized_in", "target": "Oryza sativa",
"source_type": "gene_family", "target_type": "species",
"relation_category": "characterized_in",
"assertion_id": "cass_d12f62f9abffbd903b97",
"paper_id": "PMC5488377_12864_2017_Article_3882",
"title": "Genome-wide analysis of the SPL gene family in pecan",
"pmid": "28655295", "pmcid": "PMC5488377", "doi": "10.1186/s12864-017-3882-4",
"evidence": "…", "support_count": 12, "paper_count": 5, "best_score": 0.95,
"edge_score": 0.861
},
{
"hop_index": 1,
"from_id": "cent_oryza", "from_name": "Oryza sativa",
"to_id": "cent_18spl", "to_name": "18 SPL genes in rice",
"source": "Oryza sativa", "relation": "has_gene_family_member", "target": "18 SPL genes in rice",
"source_type": "species", "target_type": "gene",
"relation_category": "has_member",
"assertion_id": "cass_e23a",
"paper_id": "PMC5488377_12864_2017_Article_3882",
"title": "Genome-wide analysis of the SPL gene family in pecan",
"pmid": "28655295", "pmcid": "PMC5488377", "doi": "10.1186/s12864-017-3882-4",
"support_count": 8, "paper_count": 3, "best_score": 0.88,
"edge_score": 0.79
}
],
"score_breakdown": { "path_score": 0.861 }
}
],
"chain_count": 1,
"audit": {},
"summary": { "note": "used_for_answer_generation", "used_for_answer_generation": true }
},
"native_graph_chains": [
{
"chain_id": "G1",
"chain_source": "neo4j_native_path",
"hop_count": 2,
"path_score": 0.861,
"start": "SPL gene",
"end": "18 SPL genes in rice",
"bridge_entities": [],
"hops": [
{
"hop_index": 0,
"from_id": "cent_spl", "from_name": "SPL gene",
"to_id": "cent_oryza", "to_name": "Oryza sativa",
"source": "SPL gene", "relation": "characterized_in", "target": "Oryza sativa",
"source_type": "gene_family", "target_type": "species",
"relation_category": "characterized_in",
"assertion_id": "cass_d12f62f9abffbd903b97",
"paper_id": "PMC5488377_12864_2017_Article_3882",
"pmid": "28655295", "pmcid": "PMC5488377", "doi": "10.1186/s12864-017-3882-4",
"support_count": 12, "paper_count": 5, "best_score": 0.95
}
]
}
],
"assertion_anchored_graph_chains": [],
"degraded_execution": false,
"subquestion_evidence_groups": [],
"rerank_audit": [],
"timings": { "provisional_answer": 0.5, "retrieval": 12.3, "native_graph_chain_retrieval": 70.1, "total": 91.9 },
"flow": ["question", "provisional answer", "structured planner", "retrieval", "native_graph_chain_retrieval"]
}
backend/mock/mock_server.py
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"""PlantAI-rag-new mock server —— 前端开发与 E2E 场景的固定数据源。
监听 127.0.0.1:8099。实现 API.md 的全部接口，返回 fixtures/ 中的固定数据。
场景切换：查询参数 ?scenario= 或请求头 X-Mock-Scenario：
normal（默认）| empty（空结果）| slow（慢响应 5s）| error（上游故障）| degraded（QA 不可用）
SSE 流按真实时序回放，让流式 UI 在没有上游时也能开发。
"""
from __future__ import annotations
import asyncio
import json
import time
from pathlib import Path
from fastapi import FastAPI, Header, Query, Request
from fastapi.responses import JSONResponse, StreamingResponse
FIXTURES = Path(__file__).parent / "fixtures"
app = FastAPI(title="PlantAI-rag-new mock")
def load(name: str):
return json.loads((FIXTURES / name).read_text(encoding="utf-8"))
def scenario_of(request: Request, q: str | None = None) -> str:
s = q or request.headers.get("X-Mock-Scenario") or "normal"
return s if s in {"normal", "empty", "slow", "error", "degraded"} else "normal"
def envelope(code: str, message: str, degraded: bool, status: int):
return JSONResponse(
status_code=status,
content={"ok": False, "error": {"code": code, "message": message, "degraded": degraded}},
)
# ---------- 健康与元信息 ----------
@app.get("/api/health")
async def health():
return load("health.json")
@app.get("/api/qa/info")
async def qa_info():
return load("qa_info.json")
# ---------- QA ----------
@app.post("/api/qa/chat")
async def qa_chat(request: Request):
sc = scenario_of(request)
if sc == "degraded":
return envelope("UPSTREAM_DOWN", "知识问答服务当前不可用，请稍后重试", True, 503)
if sc == "error":
return envelope("UPSTREAM_ERROR", "上游问答服务返回错误", True, 502)
if sc == "slow":
await asyncio.sleep(5)
if sc == "empty":
return load("qa_chat_empty.json")
return load("qa_chat.json")
@app.post("/api/qa/search")
async def qa_search(request: Request):
sc = scenario_of(request)
if sc in ("degraded",):
return envelope("UPSTREAM_DOWN", "知识问答服务当前不可用，请稍后重试", True, 503)
return load("qa_search.json")
@app.post("/api/qa/chat/stream")
async def qa_chat_stream(request: Request):
sc = scenario_of(request)
if sc == "degraded":
return envelope("UPSTREAM_DOWN", "知识问答服务当前不可用，请稍后重试", True, 503)
frames = load("sse_frames.json") # [{stage, phase, label, details, delay_ms}, ..., "__complete__"]
async def gen():
for f in frames:
if f == "__complete__":
yield "event: complete\n"
yield f"data: {json.dumps(load('qa_chat.json'), ensure_ascii=False)}\n\n"
break
await asyncio.sleep(f.get("delay_ms", 600) / 1000)
payload = {
"stage": f["stage"], "phase": f["phase"], "label": f["label"],
"details": f.get("details", {}), "at": time.strftime("%Y-%m-%dT%H:%M:%SZ", time.gmtime()),
}
yield f"event: progress\n"
yield f"data: {json.dumps(payload, ensure_ascii=False)}\n\n"
if int(f.get("delay_ms", 600)) > 3000: # 慢帧之间补 keepalive
yield ": ping\n\n"
return StreamingResponse(gen(), media_type="text/event-stream",
headers={"Cache-Control": "no-cache", "X-Accel-Buffering": "no"})
# ---------- 会话与消息 ----------
_sessions = []
_messages = {}
_seq = 0
def _now():
return time.strftime("%Y-%m-%dT%H:%M:%SZ", time.gmtime())
@app.get("/api/sessions")
async def sessions():
return load("sessions.json")
@app.post("/api/sessions")
async def create_session(request: Request):
body = await request.json()
return {**load("session_created.json"), "title": body.get("title") or "新会话"}
@app.get("/api/sessions/{sid}")
async def session_detail(sid: str):
return load("session_detail.json")
@app.patch("/api/sessions/{sid}")
async def session_patch(sid: str, request: Request):
body = await request.json()
return {**load("session_created.json"), **body}
@app.delete("/api/sessions/{sid}")
async def session_delete(sid: str):
return JSONResponse(status_code=204, content=None)
@app.post("/api/sessions/{sid}/messages")
async def create_message(sid: str, request: Request):
body = await request.json()
return {"id": "msg-mock-001", "role": body.get("role", "user"),
"kind": body.get("kind", "qa"), "status": body.get("status", "done"),
"blocks": body.get("blocks", []), "raw": None,
"created_at": _now(), "updated_at": _now()}
@app.patch("/api/sessions/{sid}/messages/{mid}")
async def patch_message(sid: str, mid: str, request: Request):
body = await request.json()
return {"id": mid, "role": "assistant", "kind": "qa",
"status": body.get("status", "done"), "blocks": body.get("blocks", []),
"raw": body.get("raw"), "created_at": _now(), "updated_at": _now()}
@app.get("/api/sessions/{sid}/sources")
async def session_sources(sid: str):
return load("sources_aggregate.json")
# ---------- 知识图谱 ----------
@app.get("/api/kg/status")
async def kg_status():
return load("kg_status.json")
@app.get("/api/kg/overview")
async def kg_overview():
return load("kg_overview.json")
@app.get("/api/kg/entities")
async def kg_entities(q: str = "", limit: int = 20):
return load("kg_entities.json")
@app.get("/api/kg/entities/{name}")
async def kg_entity(name: str):
return load("kg_entity.json")
@app.get("/api/kg/entities/{name}/neighborhood")
async def kg_neighborhood(name: str, depth: int = 2, limit: int = 50):
return load("kg_neighborhood.json")
# ---------- 抽取任务 ----------
@app.get("/api/extraction/jobs")
async def extraction_jobs():
return load("extraction_jobs.json")
@app.get("/api/extraction/jobs/{job_id}")
async def extraction_job(job_id: str):
return load("extraction_job.json")
@app.get("/api/extraction/processing-status")
async def extraction_processing_status():
return load("extraction_processing_status.json")
@app.get("/api/extraction/run-log")
async def extraction_run_log():
return {"text": "2026-08-25 10:00:01 INFO MinerU 解析完成，11 sections\n2026-08-25 10:03:44 INFO 实体识别 712 entities\n2026-08-25 10:12:09 INFO 关系抽取 751 relations\n"}
@app.get("/api/extraction/summary")
async def extraction_summary():
return load("extraction_summary.json")
@app.post("/api/extraction/upload")
async def extraction_upload(request: Request):
return load("extraction_upload.json")
if __name__ == "__main__":
import uvicorn
uvicorn.run(app, host="127.0.0.1", port=8099, log_level="info")
backend/pyproject.toml
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[build-system]
requires = ["setuptools>=68"]
build-backend = "setuptools.build_meta"
[project]
name = "plantai-bff"
version = "0.1.0"
description = "PlantAI-rag-new BFF：上游代理 + 归一化 + 会话持久化 + Neo4j 直连"
requires-python = ">=3.11"
dependencies = [
"fastapi>=0.110",
"uvicorn[standard]>=0.29",
"httpx>=0.27",
"aiosqlite>=0.20",
"neo4j>=5.18",
"pydantic>=2.6",
"pydantic-settings>=2.2",
"python-multipart>=0.0.9",
]
[project.optional-dependencies]
dev = ["pytest>=8.0", "pytest-asyncio>=0.23", "respx>=0.23"]
[tool.setuptools.packages.find]
include = ["app*"]
[tool.pytest.ini_options]
testpaths = ["app"]
python_files = ["test_*.py"]
asyncio_mode = "auto"
backend/run.sh
Executable
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#!/usr/bin/env bash
# run.sh —— 本地起 BFF（ARCHITECTURE.md §3：127.0.0.1:8090，占用则退 8091）。
# 用法：bash backend/run.sh
set -euo pipefail
cd "$(dirname "$0")"
PORT="${PORT:-8090}"
if ! command -v conda >/dev/null 2>&1; then
echo "run.sh: 未找到 conda，尝试直接使用当前 python 运行" >&2
exec python -m uvicorn app.main:app --host 127.0.0.1 --port "$PORT"
fi
if ! conda env list | awk '{print $1}' | grep -qx "plantai-bff"; then
echo "run.sh: conda 环境 plantai-bff 不存在" >&2
echo " 创建：conda create -n plantai-bff python=3.11 -y && conda activate plantai-bff && pip install -e '.[dev]'" >&2
exit 1
fi
exec conda run --no-capture-output -n plantai-bff \
python -m uvicorn app.main:app --host 127.0.0.1 --port "$PORT"
deploy/bff_restart.sh
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#!/bin/bash
# deploy/bff_restart.sh —— 远端 BFF 重启（PM 使用，在远端执行）
# 用法：ssh 192.168.0.175 -p 26518 'bash ~/5090/teamWorkspace/zh/PlantAI-rag-new/deploy/bff_restart.sh [bind_addr]'
# 参数：可选绑定地址（默认 127.0.0.1；内网演示传 0.0.0.0）
# 要点：用 setsid 完全脱离 SSH 会话，stdout/stderr 全部落日志。
set -uo pipefail
ROOT="/home/xzq/5090/teamWorkspace/zh/PlantAI-rag-new"
BIND="${1:-127.0.0.1}"
source ~/miniconda3/etc/profile.d/conda.sh
conda activate plantai-bff
# 杀旧进程（[u] 正则技巧防 pkill 自匹配）
pkill -f "[u]vicorn app.main:app" 2>/dev/null
sleep 2
cd "$ROOT/backend"
# 加载运行时凭据（backend/.env，不入 git）并导出给应用进程。
# pydantic-settings 会把 .env 载入 settings 对象，但 services/neo4j.py 的
# _env() 直接读 os.environ，故需显式 set -a 导出。
set -a
[ -f .env ] && source .env
set +a
setsid python -m uvicorn app.main:app --host "$BIND" --port 8090 \
> /tmp/plantai-bff.log 2>&1 < /dev/null &
disown
sleep 5
if ss -tln | grep -q ":8090 "; then
echo "BFF UP ($BIND:8090)"
curl -s --max-time 20 http://127.0.0.1:8090/api/health | head -c 200
echo
# 生产形态：静态托管 frontend/dist（存在时 BFF 单进程服务整个前端）
curl -s --max-time 10 http://127.0.0.1:8090/ | grep -o "<title>[^<]*" || echo "（静态托管未生效，需同步 dist）"
else
echo "BFF FAIL —— 日志尾部："
tail -15 /tmp/plantai-bff.log
exit 1
fi
deploy/integration_check.sh
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#!/bin/bash
# deploy/integration_check.sh —— M2 集成检查（PM 使用，在远端运行）
# 用途：真实 BFF（8090）接真实上游后的端到端冒烟。
# 前置：BFF 已在 8090 运行（deploy/start-dev.sh），远端可直接访问 127.0.0.1。
set -uo pipefail
BFF="http://127.0.0.1:8090"
PASS=0; FAIL=0
ok() { echo " ✅ $1"; PASS=$((PASS+1)); }
bad() { echo " ❌ $1"; FAIL=$((FAIL+1)); }
check() { # $1 名称 $2 实际输出 $3 期望子串
if echo "$2" | grep -q "$3"; then ok "$1"; else bad "$1（输出: $(echo "$2" | head -c 200)）"; fi
}
echo "== 1. 健康 =="
H=$(curl -s --max-time 10 "$BFF/api/health")
check "health 返回 status" "$H" '"status"'
check "qa 上游探测存在" "$H" '"qa"'
check "neo4j 探测存在" "$H" '"neo4j"'
echo "== 2. QA =="
QI=$(curl -s --max-time 10 "$BFF/api/qa/info")
check "qa info 版本" "$QI" '1.1.73'
echo "== 3. 会话 =="
S=$(curl -s -X POST "$BFF/api/sessions" -H 'Content-Type: application/json' -d '{"title":"集成冒烟"}')
SID=$(echo "$S" | python3 -c "import json,sys; print(json.load(sys.stdin).get('id',''))" 2>/dev/null)
[ -n "$SID" ] && ok "创建会话 ($SID)" || bad "创建会话（输出: $S）"
L=$(curl -s "$BFF/api/sessions")
check "会话列表包含新会话" "$L" "$SID"
echo "== 4. 知识图谱（Neo4j 直连）=="
KS=$(curl -s --max-time 10 "$BFF/api/kg/status")
check "kg status schema" "$KS" 'canonical'
E=$(curl -s --max-time 10 "$BFF/api/kg/entities?q=SPL&limit=5")
check "实体搜索" "$E" '"results"'
echo "== 5. 抽取任务 =="
J=$(curl -s --max-time 15 "$BFF/api/extraction/jobs")
check "任务列表" "$J" '"jobs"'
echo "== 6. QA 检索（真实上游，约 90s，可选）=="
if [ "${SKIP_QA:-0}" = "1" ]; then echo " ⏭ 跳过（SKIP_QA=1）"; else
Q=$(curl -s --max-time 200 -X POST "$BFF/api/qa/search" -H 'Content-Type: application/json' \
-d '{"question":"SPL gene family in rice","use_llm":false,"debug":false,"chain_top_k":3,"chain_hops":2,"chain_max_edges":12,"chain_max_nodes":10,"native_chain_enabled":true,"native_chain_max_hops":3,"native_chain_top_k":5}')
check "search 返回 sources" "$Q" '"sources"'
fi
[ -n "$SID" ] && curl -s -X DELETE "$BFF/api/sessions/$SID" > /dev/null && ok "清理冒烟会话" || true
echo
echo "结果：$PASS 通过 / $FAIL 失败"
[ "$FAIL" -eq 0 ]
deploy/m2_e2e.js
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// deploy/m2_e2e.js —— M2 集成验收脚本（PM 使用，在远端运行）
// 真实栈端到端：浏览器 → Vite dev(5180) → 真实 BFF(8090) → 真实上游(7920/8000/Neo4j)
// 流程：新建会话 → 问答提问 → 流水线相位推进 → 答案揭示 → 来源 tab → 图谱 tab → 刷新恢复历史
// 运行：cd ~/5090/teamWorkspace/zh/PlantAI-rag-new && node deploy/m2_e2e.js
// 注意：QA 上游 LLM 当前 402 降级，答案内容断言只验「有内容」不断言自然语言质量。
const { chromium } = require('playwright');
const BASE = 'http://127.0.0.1:5180';
const QUESTION = '水稻SPL基因家族的功能研究有哪些关键进展？';
const OUT_DIR = `${__dirname}/../artifacts/m2`;
const results = [];
function check(name, ok, extra = '') {
results.push({ name, ok });
console.log(`${ok ? ' ✅' : ' ❌'} ${name}${extra ? ' —— ' + extra : ''}`);
}
async function waitFor(fn, timeoutMs, intervalMs = 800, label = '') {
const start = Date.now();
let lastErr = null;
while (Date.now() - start < timeoutMs) {
try {
const v = await fn();
if (v) return v;
} catch (e) {
lastErr = e;
}
await new Promise((r) => setTimeout(r, intervalMs));
}
throw new Error(`等待超时(${timeoutMs}ms): ${label}${lastErr ? ' last=' + lastErr.message : ''}`);
}
async function stepStates(page) {
return page.$$eval('.pipeline-card .p-step', (els) =>
els.map((el) => ({
name: el.querySelector('.p-name')?.textContent?.trim() || '',
state: el.className.includes('done') ? 'done' : el.className.includes('running') ? 'running' : 'waiting',
})),
);
}
(async () => {
const fs = require('fs');
fs.mkdirSync(OUT_DIR, { recursive: true });
const browser = await chromium.launch();
const ctx = await browser.newContext({ viewport: { width: 1440, height: 900 } });
const page = await ctx.newPage();
const errors = [];
page.on('pageerror', (e) => errors.push('pageerror: ' + e.message));
page.on('console', (m) => {
if (m.type() === 'error') errors.push('console: ' + m.text());
});
try {
// 1. 加载
await page.goto(BASE, { waitUntil: 'domcontentloaded' });
await waitFor(() => page.locator('.app-shell').count(), 15000, 500, 'AppShell 渲染');
check('页面加载：AppShell 渲染', true);
await page.screenshot({ path: `${OUT_DIR}/01-loaded.png` });
// 2. 新建会话
await page.click('.new-task-btn');
await waitFor(() => page.locator('.composer textarea').count(), 15000, 500, '作曲器出现');
check('新建会话：作曲器出现', true);
// 3. 提问（问答模式为默认）
await page.fill('.composer textarea', QUESTION);
await page.click('.send-btn');
await waitFor(() => page.locator('.pipeline-card').count(), 20000, 500, '流水线卡出现');
check('提问：流水线卡出现', true);
// 4. 相位推进（真实 SSE，QA 上游约 40s 完成）
const statesSeen = [];
const t0 = Date.now();
let allDone = false;
while (Date.now() - t0 < 240000) {
const st = await stepStates(page);
const key = JSON.stringify(st);
if (!statesSeen.includes(key)) statesSeen.push(key);
if (st.length && st.every((s) => s.state === 'done')) { allDone = true; break; }
await new Promise((r) => setTimeout(r, 1500));
}
check('相位推进：观察到多次状态变化', statesSeen.length >= 3, `${statesSeen.length} 个不同状态快照`);
check('相位推进：全部完成', allDone, `${Math.round((Date.now() - t0) / 1000)}s`);
await page.screenshot({ path: `${OUT_DIR}/02-pipeline.png` });
// 5. 答案揭示（complete 后揭示动画，最长 8s 加速）
await waitFor(async () => {
const txt = await page.locator('.msg.assistant .msg-body').last().innerText().catch(() => '');
return txt.length > 30;
}, 60000, 1000, '助手答案出现');
const answerText = await page.locator('.msg.assistant .msg-body').last().innerText();
check('答案渲染：有内容', answerText.length > 30, `长度 ${answerText.length}`);
check('答案渲染：含文献证据（PMID/DOI 或降级提示）', /PMID|doi|evidence|证据/i.test(answerText));
await page.screenshot({ path: `${OUT_DIR}/03-answer.png` });
// 6. 文献来源 tab（真实 sources）
await page.click('.bench-tab:has-text("文献来源")');
await waitFor(async () => page.locator('.source-row').count(), 30000, 800, '来源条目出现');
const srcCount = await page.locator('.source-row').count();
check('文献来源：来源条目渲染', srcCount >= 1, `${srcCount} 条`);
await page.screenshot({ path: `${OUT_DIR}/04-sources.png` });
// 7. 知识图谱 tab（答案图谱）
await page.click('.bench-tab:has-text("知识图谱")');
await waitFor(async () => {
const n = await page.locator('.bench-body svg, .bench-body .kg-list, .bench-body .empty-note').count();
return n > 0;
}, 15000, 800, '图谱 tab 内容');
check('知识图谱：tab 有内容（图/列表/空态之一）', true);
await page.screenshot({ path: `${OUT_DIR}/05-kg.png` });
// 8. 刷新恢复（真实 BFF SQLite 持久化）
await page.reload({ waitUntil: 'domcontentloaded' });
await waitFor(() => page.locator('.session-item').count(), 15000, 500, '会话列表加载');
check('刷新：会话列表恢复（SQLite）', true);
await page.click('.session-item:has-text("水稻SPL")');
await waitFor(async () => {
const n = await page.locator('.msg.assistant').count();
return n > 0;
}, 20000, 800, '历史消息恢复');
check('刷新：助手消息历史恢复', true);
await page.screenshot({ path: `${OUT_DIR}/06-restored.png` });
// 9. 浏览器错误
const realErrors = errors.filter((e) => !e.includes('favicon'));
check('无页面级 JS 错误', realErrors.length === 0, realErrors.slice(0, 3).join(' | '));
} catch (e) {
check('流程异常中断', false, e.message);
await page.screenshot({ path: `${OUT_DIR}/99-failure.png` }).catch(() => {});
} finally {
await browser.close();
}
const passed = results.filter((r) => r.ok).length;
console.log(`\nM2 验收结果：${passed}/${results.length} 通过`);
process.exit(passed === results.length ? 0 : 1);
})();
deploy/m2_probe.js
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// deploy/m2_probe.js —— 诊断探针（PM 使用，在远端运行）
// 目的：定位真实浏览器中 SSE progress 未推进流水线相位的原因
const { chromium } = require('playwright');
(async () => {
const browser = await chromium.launch();
const ctx = await browser.newContext({ viewport: { width: 1440, height: 900 } });
const page = await ctx.newPage();
const logs = [];
page.on('console', (m) => {
if (m.type() === 'error' || m.type() === 'warning') logs.push(`[${m.type()}] ${m.text().slice(0, 200)}`);
});
page.on('pageerror', (e) => logs.push('[pageerror] ' + e.message.slice(0, 200)));
await page.goto('http://127.0.0.1:5180', { waitUntil: 'domcontentloaded' });
await page.waitForSelector('.app-shell', { timeout: 15000 });
await page.click('.new-task-btn');
await page.waitForSelector('.composer textarea', { timeout: 15000 });
// 用「检索」模式（use_llm:false，走 /api/qa/search，更快的真实链路）排除揭示动画干扰
// 但 search 无 SSE——这里仍用默认问答走 SSE，只是探针只观察 60s
await page.fill('.composer textarea', 'SPL gene family in rice');
await page.click('.send-btn');
const t0 = Date.now();
const timeline = [];
let pipelineSeen = false;
while (Date.now() - t0 < 90000) {
const snap = await page.evaluate(() => {
const card = document.querySelector('.pipeline-card');
const steps = Array.from(document.querySelectorAll('.pipeline-card .p-step'));
const msgs = Array.from(document.querySelectorAll('.msg.assistant'));
const stream = document.querySelector('.stream-text')?.textContent?.length || 0;
const body = document.querySelector('.msg.assistant .msg-body')?.textContent?.length || 0;
// 检查正在进行的 fetch 到 stream 端点
const perf = performance.getEntriesByType('resource').filter((r) => r.name.includes('chat/stream'));
return {
card: !!card,
stepCount: steps.length,
states: steps.map((s) => (s.className.includes('done') ? 'D' : s.className.includes('running') ? 'R' : 'W')).join(''),
descs: steps.map((s) => s.querySelector('.p-desc')?.textContent?.slice(0, 20)).join('|'),
msgCount: msgs.length,
streamLen: stream,
bodyLen: body,
streamReqs: perf.length,
};
});
const key = JSON.stringify(snap);
if (!timeline.length || timeline[timeline.length - 1].key !== key) {
timeline.push({ t: Math.round((Date.now() - t0) / 1000), key });
console.log(`T+${Math.round((Date.now() - t0) / 1000)}s`, JSON.stringify(snap));
}
if (snap.card) pipelineSeen = true;
if (snap.bodyLen > 30 && snap.streamLen === 0 && snap.states.includes('D')) break;
if (snap.bodyLen > 50) break; // 答案已出现，看相位是否 done
await new Promise((r) => setTimeout(r, 2000));
}
console.log('\n--- 浏览器日志（error/warning）---');
logs.slice(0, 10).forEach((l) => console.log(l));
console.log('\n--- 最终 DOM 摘要 ---');
const fin = await page.evaluate(() => {
const card = document.querySelector('.pipeline-card');
return card ? card.outerHTML.slice(0, 1200) : '无 pipeline-card';
});
console.log(fin);
await browser.close();
})();
deploy/m2_probe2.js
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// deploy/m2_probe2.js —— 精确诊断探针（PM 使用，在远端运行）
// 观察完整流式生命周期：网络请求 + SSE 帧消费 + 流水线状态 + 答案块
const { chromium } = require('playwright');
(async () => {
const browser = await chromium.launch();
const ctx = await browser.newContext({ viewport: { width: 1440, height: 900 } });
const page = await ctx.newPage();
const netLog = [];
page.on('request', (r) => {
if (r.url().includes('/api/')) netLog.push(`REQ ${r.method()} ${r.url()}`);
});
page.on('response', (r) => {
if (r.url().includes('/api/')) netLog.push(`RES ${r.status()} ${r.url()}`);
});
const jsErrors = [];
page.on('pageerror', (e) => jsErrors.push(e.message.slice(0, 300)));
page.on('console', (m) => {
if (m.type() === 'error') jsErrors.push('[console] ' + m.text().slice(0, 300));
});
await page.goto('http://127.0.0.1:5180', { waitUntil: 'domcontentloaded' });
await page.waitForSelector('.app-shell', { timeout: 15000 });
await page.click('.new-task-btn');
await page.waitForSelector('.composer textarea', { timeout: 15000 });
await page.fill('.composer textarea', 'SPL gene family in rice');
await page.click('.send-btn');
const t0 = Date.now();
let lastKey = '';
let lastBlockCount = -1;
while (Date.now() - t0 < 150000) {
const snap = await page.evaluate(() => {
const cards = Array.from(document.querySelectorAll('.pipeline-card'));
const card = cards[0];
const steps = card ? Array.from(card.querySelectorAll('.p-step')) : [];
const msg = document.querySelector('.msg.assistant');
// 只统计 blocks 区域，排除流水线卡文本
const blocks = msg ? Array.from(msg.querySelectorAll('.msg-body > *')) : [];
const nonPipelineText = blocks
.filter((b) => !b.classList.contains('pipeline-card'))
.map((b) => b.textContent || '')
.join(' ');
return {
cards: cards.length,
states: steps.map((s) => (s.className.includes('done') ? 'D' : s.className.includes('running') ? 'R' : 'W')).join(''),
stepCount: steps.length,
blockCount: blocks.length,
blockTypes: blocks.map((b) => b.className || b.tagName).join(','),
nonPipelineLen: nonPipelineText.length,
streamCursor: !!document.querySelector('.stream-cursor'),
};
});
const key = `${snap.cards}|${snap.states}|${snap.blockCount}|${snap.nonPipelineLen}|${snap.streamCursor}`;
if (key !== lastKey) {
lastKey = key;
console.log(`T+${Math.round((Date.now() - t0) / 1000)}s`, JSON.stringify(snap));
}
if (snap.states === 'DDDDD' && !snap.streamCursor && snap.nonPipelineLen > 100) break;
if (snap.states === 'DDDDD' && snap.blockCount > 1 && snap.nonPipelineLen > 100) break;
if (snap.blockCount > 3 && snap.nonPipelineLen > 100 && !snap.streamCursor) break;
await new Promise((r) => setTimeout(r, 2000));
}
console.log('\n--- 网络日志 ---');
netLog.forEach((l) => console.log(l));
console.log('\n--- JS 错误 ---');
(jsErrors.length ? jsErrors : ['无']).forEach((l) => console.log(l.slice(0, 400)));
// 最终：检查 store 状态（Vue app 无法直接访问，检查 DOM 证据）
const fin = await page.evaluate(() => {
const msg = document.querySelector('.msg.assistant');
const blocks = msg ? Array.from(msg.querySelectorAll('.msg-body > *')) : [];
return {
blockClasses: blocks.map((b) => (b.className || b.tagName).slice(0, 40)),
text: (msg ? msg.textContent : '').slice(0, 400),
};
});
console.log('\n--- 最终块结构 ---');
console.log(JSON.stringify(fin, null, 2));
await browser.close();
})();
deploy/m2_probe3.js
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// deploy/m2_probe3.js —— 浏览器 fetch chunk 级探针（PM 使用，在远端运行）
// 目的：确定 progress 帧丢失发生在哪一层（Vite proxy 缓冲？fetch 读取？parser？）
const { chromium } = require('playwright');
(async () => {
const browser = await chromium.launch();
const ctx = await browser.newContext({ viewport: { width: 1440, height: 900 } });
const page = await ctx.newPage();
// 在页面上下文里直接发起 fetch 并记录 chunk 到达时间线与内容
const result = await page.evaluate(async () => {
const t0 = Date.now();
const log = [];
const ctrl = new AbortController();
const timeout = setTimeout(() => ctrl.abort(), 90000);
try {
const resp = await fetch('http://127.0.0.1:5180/api/qa/chat/stream', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
question: 'SPL gene family in rice',
use_llm: true, debug: false,
chain_top_k: 3, chain_hops: 2, chain_max_edges: 12, chain_max_nodes: 10,
native_chain_enabled: true, native_chain_max_hops: 3, native_chain_top_k: 5,
}),
signal: ctrl.signal,
});
log.push(`T+${Math.round((Date.now() - t0) / 1000)}s headers: status=${resp.status} ct=${resp.headers.get('content-type')}`);
const reader = resp.body.getReader();
const decoder = new TextDecoder();
let nChunks = 0;
for (;;) {
const { done, value } = await reader.read();
if (done) break;
nChunks++;
const text = decoder.decode(value, { stream: true });
const events = (text.match(/event: \w+/g) || []).join(',');
log.push(`T+${Math.round((Date.now() - t0) / 1000)}s chunk#${nChunks} len=${value.length} [${events}] preview=${text.slice(0, 80).replace(/\n/g, '↵')}`);
}
log.push(`T+${Math.round((Date.now() - t0) / 1000)}s stream done, ${nChunks} chunks total`);
} catch (e) {
log.push(`ERROR: ${e.name}: ${e.message}`);
}
clearTimeout(timeout);
return log;
});
result.forEach((l) => console.log(l));
await browser.close();
})();
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// deploy/m2_probe4.js —— Vue store 内部状态探针（PM 使用，在远端运行）
// 通过 __vueParentComponent 链拿到 pinia，直读 chat store 的消息状态，
// 区分「store 未更新」（handler 问题）与「store 已更新但 DOM 未渲染」（响应式问题）
const { chromium } = require('playwright');
async function dumpStore(page) {
return page.evaluate(() => {
const findRoot = (el) => {
let node = el;
while (node) {
if (node.__vue_app__) return node.__vue_app__;
node = node.__vueParentComponent?.parent || null;
}
return null;
};
const rootEl = document.querySelector('#app') || document.querySelector('.app-shell');
const app = rootEl ? findRoot(rootEl) : null;
if (!app) return { err: '未找到 vue app' };
const pinia = app.config.globalProperties.$pinia;
if (!pinia) return { err: '未找到 pinia' };
const chat = pinia._s.get('chat');
if (!chat) return { err: '未找到 chat store' };
const msgs = chat.messages.map((m) => ({
role: m.role,
status: m.status,
id: m.id,
blocks: (m.blocks || []).map((b) =>
b.type === 'pipeline'
? { type: 'pipeline', status: b.status, steps: b.steps.map((s) => `${s.phase}:${s.state}`) }
: { type: b.type, len: b.type === 'text' ? (b.html || '').length : b.type === 'stream' ? (b.text || '').length : undefined },
),
}));
return {
busy: chat.busy,
completedOnce: chat.completedOnce,
currentEvents: chat.currentEvents.map((e) => e.stage),
sessionId: chat.sessionId,
msgs,
};
});
}
(async () => {
const browser = await chromium.launch();
const ctx = await browser.newContext({ viewport: { width: 1440, height: 900 } });
const page = await ctx.newPage();
await page.goto('http://127.0.0.1:5180', { waitUntil: 'domcontentloaded' });
await page.waitForSelector('.app-shell', { timeout: 15000 });
await page.click('.new-task-btn');
await page.waitForSelector('.composer textarea', { timeout: 15000 });
await page.fill('.composer textarea', 'SPL gene family in rice');
await page.click('.send-btn');
const t0 = Date.now();
let last = '';
while (Date.now() - t0 < 150000) {
const snap = await dumpStore(page);
const msgs = snap.msgs || [];
const lastAssist = msgs.filter((m) => m.role === 'assistant').pop();
const pipe = lastAssist?.blocks?.find((b) => b.type === 'pipeline');
const key = JSON.stringify({ busy: snap.busy, done: snap.completedOnce, steps: pipe?.steps, nEv: snap.currentEvents?.length });
if (key !== last) {
last = key;
const el = Math.round((Date.now() - t0) / 1000);
console.log(`T+${el}s busy=${snap.busy} completedOnce=${snap.completedOnce} events=${snap.currentEvents?.length} 步骤=${JSON.stringify(pipe?.steps)}`);
console.log(` 事件序列: ${(snap.currentEvents || []).slice(-5).join(', ')}`);
}
if (!snap.busy && snap.completedOnce && Date.now() - t0 > 30000) break;
await new Promise((r) => setTimeout(r, 2000));
}
console.log('\n=== 最终 store 状态 ===');
console.log(JSON.stringify(await dumpStore(page), null, 2));
console.log('\n=== 最终 DOM 流水线 ===');
const dom = await page.evaluate(() => {
const card = document.querySelector('.pipeline-card');
if (!card) return '无卡片';
return card.textContent.slice(0, 300);
});
console.log(dom);
await browser.close();
})();
deploy/m2_probe5.js
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// deploy/m2_probe5.js —— PipelineCard props 与渲染链探针（PM 使用，在远端运行）
// 读组件实例 props（vnode.props.block）并比较与 pinia store 的引用/状态。
const { chromium } = require('playwright');
(async () => {
const browser = await chromium.launch();
const ctx = await browser.newContext({ viewport: { width: 1440, height: 900 } });
const page = await ctx.newPage();
await page.goto('http://127.0.0.1:5180', { waitUntil: 'domcontentloaded' });
await page.waitForSelector('.app-shell', { timeout: 15000 });
await page.click('.new-task-btn');
await page.waitForSelector('.composer textarea', { timeout: 15000 });
await page.fill('.composer textarea', 'SPL gene family in rice');
await page.click('.send-btn');
const t0 = Date.now();
let last = '';
while (Date.now() - t0 < 150000) {
const snap = await page.evaluate(() => {
const cardEl = document.querySelector('.pipeline-card');
if (!cardEl) return { noCard: true };
// 沿 vnode 链找组件实例
let vnode = cardEl.__vueParentComponent;
const found = [];
for (let i = 0; i < 6 && vnode; i++) {
const p = vnode.props;
if (p && p.block) {
const b = p.block;
found.push({
comp: vnode.type?.name || vnode.type?.__name || 'anon',
blockStatus: b.status,
steps: (b.steps || []).map((s) => `${s.phase}:${s.state}`).join(','),
isReactiveProxy: !!b.__v_raw || typeof b.status !== 'string' || false,
});
// 读原始 store 对象比较（raw）
const raw = b.__v_raw || b;
found[found.length - 1].rawStatus = raw.status;
found[found.length - 1].rawSteps = (raw.steps || []).map((s) => s.state).join(',');
break;
}
vnode = vnode.parent;
}
// pinia 直接读
let storeBlock = null;
const rootEl = document.querySelector('#app') || document.querySelector('.app-shell');
let n = rootEl;
let app = null;
while (n && !app) { if (n.__vue_app__) app = n.__vue_app__; n = n.__vueParentComponent?.parent || null; }
if (app) {
const pinia = app.config.globalProperties.$pinia;
const chat = pinia._s.get('chat');
const aMsg = [...chat.messages].reverse().find((m) => m.role === 'assistant');
const sb = aMsg?.blocks?.[0];
if (sb) storeBlock = { status: sb.status, steps: sb.steps.map((s) => s.state).join(',') };
}
return { found, storeBlock, domText: cardEl.textContent.slice(0, 60) };
});
const key = JSON.stringify(snap);
if (key !== last) {
last = key;
console.log(`T+${Math.round((Date.now() - t0) / 1000)}s`, JSON.stringify(snap, null, 1));
}
// 流结束后看最终状态
const doneNow = await page.evaluate(() => {
const rootEl = document.querySelector('#app');
let n = rootEl; let app = null;
while (n && !app) { if (n.__vue_app__) app = n.__vue_app__; n = n.__vueParentComponent?.parent || null; }
if (!app) return false;
return !app.config.globalProperties.$pinia._s.get('chat').busy;
});
if (doneNow && Date.now() - t0 > 30000) break;
await new Promise((r) => setTimeout(r, 2500));
}
await browser.close();
})();
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// deploy/m2_probe6.js —— 卡片枚举探针（PM 使用，在远端运行）
// 枚举文档中全部 .pipeline-card：props 状态 / textContent / 可见性 / 所属容器 / 挂载状态
const { chromium } = require('playwright');
(async () => {
const browser = await chromium.launch();
const ctx = await browser.newContext({ viewport: { width: 1440, height: 900 } });
const page = await ctx.newPage();
await page.goto('http://127.0.0.1:5180', { waitUntil: 'domcontentloaded' });
await page.waitForSelector('.app-shell', { timeout: 15000 });
await page.click('.new-task-btn');
await page.waitForSelector('.composer textarea', { timeout: 15000 });
await page.fill('.composer textarea', 'SPL gene family in rice');
await page.click('.send-btn');
// 等流结束
await page.waitForFunction(() => {
const rootEl = document.querySelector('#app');
let n = rootEl; let app = null;
while (n && !app) { if (n.__vue_app__) app = n.__vue_app__; n = n.__vueParentComponent?.parent || null; }
if (!app) return false;
const chat = app.config.globalProperties.$pinia._s.get('chat');
return chat && !chat.busy && chat.completedOnce;
}, null, { timeout: 180000 });
await new Promise((r) => setTimeout(r, 3000)); // 揭示动画收尾
const report = await page.evaluate(() => {
const cards = Array.from(document.querySelectorAll('.pipeline-card'));
return cards.map((el, i) => {
let vnode = el.__vueParentComponent;
let props = null, compName = null;
for (let d = 0; d < 6 && vnode; d++) {
if (vnode.props && vnode.props.block) {
props = { status: vnode.props.block.status, steps: vnode.props.block.steps.map((s) => `${s.phase}:${s.state}`).join(',') };
compName = vnode.type?.name || vnode.type?.__name || 'anon';
break;
}
vnode = vnode.parent;
}
const msgEl = el.closest('.msg');
const chatScroll = el.closest('.chat-scroll');
const style = getComputedStyle(el);
const inDrawer = !!el.closest('.drawer');
const inOverlay = !!el.closest('.bench-overlay');
// 每个元素与文档根的连接性 + 是否在视口
const rect = el.getBoundingClientRect();
return {
i,
props,
compName,
text: el.textContent.slice(0, 70),
display: style.display,
visibility: style.visibility,
opacity: style.opacity,
rect: { x: Math.round(rect.x), y: Math.round(rect.y), w: Math.round(rect.width), h: Math.round(rect.height) },
inMsg: !!msgEl,
msgText: msgEl ? msgEl.textContent.slice(0, 30) : null,
inChatScroll: !!chatScroll,
inDrawer,
inOverlay,
isConnected: el.isConnected,
};
});
});
console.log(JSON.stringify(report, null, 2));
await browser.close();
})();
deploy/m3_e2e.js
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// deploy/m3_e2e.js —— M3 综合验收（PM 使用，在远端运行）
// 覆盖：KG 自由浏览（真实 Neo4j）、抽取任务 tab（真实 8000）、三档视口布局、主题切换
const { chromium } = require('playwright');
const BASE = 'http://127.0.0.1:5180';
const OUT_DIR = `${__dirname}/../artifacts/m3`;
const fs = require('fs');
fs.mkdirSync(OUT_DIR, { recursive: true });
const results = [];
function check(name, ok, extra = '') {
results.push({ name, ok });
console.log(`${ok ? ' ✅' : ' ❌'} ${name}${extra ? ' —— ' + extra : ''}`);
}
async function waitFor(fn, timeoutMs, intervalMs = 700, label = '') {
const start = Date.now();
while (Date.now() - start < timeoutMs) {
try {
const v = await fn();
if (v) return v;
} catch {}
await new Promise((r) => setTimeout(r, intervalMs));
}
throw new Error(`等待超时(${timeoutMs}ms): ${label}`);
}
(async () => {
const browser = await chromium.launch();
// ============ 桌面档：KG 浏览 + 抽取 ============
{
const ctx = await browser.newContext({ viewport: { width: 1440, height: 900 } });
const page = await ctx.newPage();
const errors = [];
page.on('pageerror', (e) => errors.push(e.message));
await page.goto(BASE, { waitUntil: 'domcontentloaded' });
await waitFor(() => page.locator('.app-shell').count(), 15000, 500, 'AppShell');
// KG tab：实体搜索 + 邻域
await page.click('.bench-tab:has-text("知识图谱")');
await waitFor(() => page.locator('.bench-body input[type="text"], .bench-body input').count(), 10000, 500, 'KG 搜索框');
await page.fill('.bench-body input', 'OsSPL14');
await page.press('.bench-body input', 'Enter');
await waitFor(async () => {
const n = await page.locator('.bench-body .kg-result, .bench-body [class*="result"], .bench-body [class*="entity"]').count();
return n > 0;
}, 20000, 800, '实体搜索结果');
check('KG：实体搜索有结果（真实 Neo4j fulltext 替代）', true);
await page.screenshot({ path: `${OUT_DIR}/01-kg-search.png` });
// 邻域渲染（点击第一个结果或通过已选中实体）
const clicked = await page.evaluate(async () => {
const items = document.querySelectorAll('.bench-body [class*="result"] button, .bench-body [class*="entity"] button, .bench-body [class*="result"] [class*="item"]');
if (items[0]) { items[0].click(); return true; }
return false;
});
await waitFor(async () => {
const svg = await page.locator('.bench-body svg').count();
const nodes = await page.locator('.bench-body svg circle, .bench-body svg [class*="node"]').count();
return svg > 0 && nodes > 0;
}, 30000, 800, 'KG 图谱渲染');
check('KG：邻域图谱渲染（节点+边）', true);
await page.screenshot({ path: `${OUT_DIR}/02-kg-graph.png` });
// 抽取任务 tab
await page.click('.bench-tab:has-text("提取任务")');
await waitFor(async () => {
const n = await page.locator('.bench-body [class*="job"], .bench-body [class*="prog"]').count();
return n > 0;
}, 20000, 800, '抽取任务列表');
check('抽取：真实任务列表渲染', true);
const jobText = await page.locator('.bench-body').textContent();
check('抽取：含真实任务名或状态', /MinerU|completed|failed|running|queued|wang|Pecan/i.test(jobText));
await page.screenshot({ path: `${OUT_DIR}/03-extraction.png` });
check('桌面档无 JS 错误', errors.length === 0, errors.slice(0, 2).join('|'));
await ctx.close();
}
// ============ 平板档：抽屉布局 ============
{
const ctx = await browser.newContext({ viewport: { width: 768, height: 1024 } });
const page = await ctx.newPage();
await page.goto(BASE, { waitUntil: 'domcontentloaded' });
await waitFor(() => page.locator('.app-shell.drawers-mode').count(), 15000, 500, 'drawers-mode');
check('平板：drawers-mode 生效（单栏）', true);
// 汉堡开左抽屉
const hamburger = await page.locator('.hamburger-btn').count();
check('平板：顶栏汉堡按钮出现', hamburger > 0);
if (hamburger > 0) {
await page.click('.hamburger-btn');
await waitFor(() => page.locator('.drawer').count(), 5000, 400, '左抽屉');
const drawerVisible = await page.locator('.drawer').first().isVisible();
check('平板：左抽屉打开', drawerVisible);
await page.screenshot({ path: `${OUT_DIR}/04-tablet-drawer.png` });
// Esc 关闭（抽屉仍挂载但移出屏幕——断言 open class 而非 isHidden）
await page.keyboard.press('Escape');
await page.waitForTimeout(500);
const openClass = await page.locator('.drawer.left').first().evaluate((el) => el.classList.contains('open')).catch(() => false);
check('平板：Esc 关闭抽屉', !openClass);
}
await ctx.close();
}
// ============ 手机档：全屏覆盖层 + 主题 ============
{
const ctx = await browser.newContext({ viewport: { width: 390, height: 844 } });
const page = await ctx.newPage();
await page.goto(BASE, { waitUntil: 'domcontentloaded' });
await waitFor(() => page.locator('.app-shell.mobile').count(), 15000, 500, 'mobile 档');
check('手机：mobile 档生效', true);
const sb = await page.locator('.status-bar').isHidden().catch(() => true);
check('手机：底栏隐藏（FR-RESP-004）', sb);
const benchBtn = await page.locator('.bench-btn').count();
check('手机：工作台按钮出现', benchBtn > 0);
if (benchBtn > 0) {
await page.click('.bench-btn');
await waitFor(() => page.locator('.bench-overlay').count(), 5000, 400, '工作台覆盖层');
check('手机：工作台全屏覆盖层打开', true);
await page.screenshot({ path: `${OUT_DIR}/05-mobile-overlay.png` });
// tab 切换（PM 修复的接缝）。注意覆盖层内有两套 tab（外壳 tab 条 + BenchPanel 内部 tab），
// 用外壳 tab 条（.bench-overlay-tabs 内）点击，用最后匹配的 on 断言
await page.click('.bench-overlay-tabs .bench-tab:has-text("文献来源")');
const activeTab = await page.locator('.bench-overlay-tabs .bench-tab.on').first().textContent();
check('手机：覆盖层 tab 切换（PM 接线修复）', activeTab.includes('文献来源'), activeTab.trim());
await page.click('.bench-overlay .bench-close-btn, .bench-overlay [class*="close"]').catch(async () => {
await page.keyboard.press('Escape');
});
}
// 主题切换（浅色）
await page.click('.top-bar .icon-btn:last-child');
await page.waitForTimeout(300);
const theme = await page.evaluate(() => document.documentElement.dataset.theme);
check('主题：切换为浅色（dataset.theme）', theme === 'light');
const canvasBg = await page.evaluate(() => getComputedStyle(document.body).backgroundColor);
check('主题：浅色 canvas 生效', canvasBg === 'rgb(246, 248, 252)', canvasBg);
await page.screenshot({ path: `${OUT_DIR}/06-mobile-light.png` });
await ctx.close();
}
await browser.close();
const passed = results.filter((r) => r.ok).length;
console.log(`\nM3 验收结果：${passed}/${results.length} 通过`);
process.exit(passed === results.length ? 0 : 1);
})();
deploy/m5_acceptance.js
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// deploy/m5_acceptance.js —— M5 PM 最终验收脚本（在远端运行）
// 与 M2/M3 验收互补：本轮跑「生产形态静态托管」+「加固后的 Vite」双链路，
// 并在三档视口执行 PRD 验收脚本的核心交互（PM 人工走查的自动化部分）。
const { chromium } = require('playwright');
const results = [];
function check(name, ok, extra = '') {
results.push({ name, ok });
console.log(`${ok ? ' ✅' : ' ❌'} ${name}${extra ? ' —— ' + extra : ''}`);
}
async function waitFor(fn, ms, iv = 700, label = '') {
const t0 = Date.now();
while (Date.now() - t0 < ms) {
try { const v = await fn(); if (v) return v; } catch {}
await new Promise((r) => setTimeout(r, iv));
}
throw new Error(`等待超时(${ms}ms): ${label}`);
}
(async () => {
const browser = await chromium.launch();
// ============ 0. 生产形态静态托管（BFF 8090 直接服务 dist）============
{
const ctx = await browser.newContext({ viewport: { width: 1440, height: 900 } });
const page = await ctx.newPage();
const errors = [];
page.on('pageerror', (e) => errors.push(e.message));
// BFF 静态托管需 frontend/dist 存在且 BFF 重启——先探测是否已挂载
const prod = await page.goto('http://127.0.0.1:8090/', { waitUntil: 'domcontentloaded' }).then(() => true).catch(() => false);
if (prod) {
await waitFor(() => page.locator('.app-shell').count(), 15000, 500, '生产形态 AppShell');
check('生产形态：BFF 静态托管渲染 AppShell', true);
const health = await page.evaluate(async () => (await fetch('/api/health')).status);
check('生产形态：同源 /api/health 可达', health === 200);
} else {
// dist 未同步或 BFF 未带静态挂载重启——记失败但继续
check('生产形态：BFF 静态托管', false, '8090 根路径不可达（dist 未部署？）');
}
check('生产形态无 JS 错误', errors.length === 0, errors.slice(0, 2).join('|'));
await ctx.close();
}
// ============ 1. Desktop 验收脚本（PRD 核心交互）============
{
const ctx = await browser.newContext({ viewport: { width: 1440, height: 900 } });
const page = await ctx.newPage();
const errors = [];
page.on('pageerror', (e) => errors.push(e.message));
await page.goto('http://127.0.0.1:5180', { waitUntil: 'domcontentloaded' });
await waitFor(() => page.locator('.app-shell').count(), 15000, 500, 'AppShell');
// 会话列表来自真实 SQLite
const sessCount = await page.locator('.session-item').count();
check('桌面：会话列表从真实 SQLite 加载', sessCount >= 1, `${sessCount} 条`);
// 打开一个有 done 状态的会话验证历史恢复（含 markdown 渲染）
const doneItem = page.locator('.session-item').filter({ has: page.locator('.status-dot.done') }).first();
if (await doneItem.count()) {
await doneItem.click();
await waitFor(() => page.locator('.msg.assistant').count(), 15000, 500, '历史消息');
const hasMd = await page.locator('.msg.assistant .md-text strong, .msg.assistant .md-text li, .msg.assistant .md-text h1, .msg.assistant .md-text h2').count();
const hasPlain = await page.locator('.msg.assistant .md-text').count();
check('桌面：历史答案渲染（markdown 块存在）', hasPlain > 0, `md-text ${hasPlain} / 加粗列表 ${hasMd}`);
// 相位卡恢复为 done
const steps = await page.locator('.pipeline-card .p-step.done').count();
check('桌面：历史相位卡恢复 done', steps >= 4, `${steps}/5`);
}
// 引用 chip 高亮链（FR-CHAT-015 补全的验收）
const chip = page.locator('.msg.assistant .inline-sources .src-chip').first();
if (await chip.count()) {
await chip.click();
await waitFor(() => page.locator('.bench-tab.on').filter({ hasText: '文献来源' }).count(), 5000, 400, '来源 tab 切换');
await waitFor(() => page.locator('.source-row.hl-active').count(), 5000, 400, '来源高亮');
check('桌面：引用 chip → 来源 tab 高亮定位', true);
} else {
check('桌面：引用 chip → 来源 tab 高亮定位', false, '当前会话无引用 chip（可接受，需人工复核一次问答）');
}
check('桌面验收无 JS 错误', errors.length === 0, errors.slice(0, 3).join('|'));
await ctx.close();
}
// ============ 2. 完整真实问答（桌面，加固后链路）============
{
const ctx = await browser.newContext({ viewport: { width: 1440, height: 900 } });
const page = await ctx.newPage();
const errors = [];
page.on('pageerror', (e) => errors.push(e.message));
await page.goto('http://127.0.0.1:5180', { waitUntil: 'domcontentloaded' });
await waitFor(() => page.locator('.app-shell').count(), 15000, 500, 'AppShell');
await page.click('.new-task-btn');
await waitFor(() => page.locator('.composer textarea').count(), 15000, 500, '作曲器');
await page.fill('.composer textarea', '拟南芥HD-ZIP转录因子的生物学功能？');
await page.click('.send-btn');
// 等流结束（真实 QA 最长 92s，终态等待上限 360s 已加固）
await waitFor(async () => {
const ok = await page.evaluate(() => {
const rootEl = document.querySelector('#app');
let n = rootEl; let app = null;
while (n && !app) { if (n.__vue_app__) app = n.__vue_app__; n = n.__vueParentComponent?.parent || null; }
if (!app) return false;
const chat = app.config.globalProperties.$pinia._s.get('chat');
return chat && !chat.busy && chat.completedOnce;
});
return ok;
}, 360000, 1500, '真实问答流结束');
await waitFor(async () => {
const n = await page.locator('.msg.assistant .md-text').count();
return n > 0;
}, 30000, 800, '最终答案出现');
const answerLen = (await page.locator('.msg.assistant .md-text').last().textContent()).length;
check('真实问答：五相位终态 + 答案渲染', answerLen > 20, `答案 ${answerLen} 字`);
const allDone = (await page.locator('.pipeline-card .p-step.done').count()) >= 4;
check('真实问答：相位卡全部 done', allDone);
const srcChip = await page.locator('.msg.assistant .inline-sources .src-chip').count();
check('真实问答：内联引用 chip 出现', srcChip > 0, `${srcChip} 个`);
check('真实问答无 JS 错误', errors.length === 0, errors.slice(0, 3).join('|'));
await ctx.close();
}
// ============ 3. 三档视口布局终检 ============
for (const [name, vp] of [['mobile', { width: 390, height: 844 }], ['tablet', { width: 768, height: 1024 }], ['desktop', { width: 1440, height: 900 }]]) {
const ctx = await browser.newContext({ viewport: vp });
const page = await ctx.newPage();
await page.goto('http://127.0.0.1:5180', { waitUntil: 'domcontentloaded' });
await waitFor(() => page.locator('.app-shell').count(), 15000, 500, `${name} AppShell`);
const tier = await page.evaluate(() => document.querySelector('.app-shell').className);
check(`${name}：档位 class 正确`, tier.includes(name === 'desktop' ? 'app-shell' : name === 'tablet' ? 'drawers-mode' : 'mobile'), tier.slice(0, 60));
await ctx.close();
}
await browser.close();
const passed = results.filter((r) => r.ok).length;
console.log(`\nM5 验收结果：${passed}/${results.length} 通过`);
process.exit(passed === results.length ? 0 : 1);
})();
deploy/start-dev.sh
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@@ -0,0 +1,16 @@
#!/bin/bash
# deploy/start-dev.sh —— 远端启动 BFF + vite dev（在远端 tmux 中运行）
set -euo pipefail
ROOT="/home/xzq/5090/teamWorkspace/zh/PlantAI-rag-new"
echo "== 启动 BFF (127.0.0.1:8090) =="
(cd "$ROOT/backend" && source ~/miniconda3/etc/profile.d/conda.sh && conda activate plantai-bff && \
nohup uvicorn app.main:app --host 127.0.0.1 --port 8090 > /tmp/plantai-bff.log 2>&1 &)
echo "== 启动 Vite dev (127.0.0.1:5180) =="
(cd "$ROOT/frontend" && nohup npm run dev > /tmp/plantai-vite.log 2>&1 &)
sleep 3
curl -s http://127.0.0.1:8090/api/health > /dev/null && echo "BFF OK" || echo "BFF 未就绪，见 /tmp/plantai-bff.log"
curl -s http://127.0.0.1:5180 > /dev/null && echo "Vite OK" || echo "Vite 未就绪，见 /tmp/plantai-vite.log"
echo
echo "== Mac 侧访问隧道 =="
echo "ssh -N -L 5180:127.0.0.1:5180 -L 8090:127.0.0.1:8090 100.109.52.26"
echo "然后浏览器打开 http://localhost:5180"
deploy/sync.sh
+15
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@@ -0,0 +1,15 @@
#!/bin/bash
# deploy/sync.sh —— 本地 → 远端 rsync（PM 独占执行，agent 不自行运行）
set -euo pipefail
REMOTE_HOST="100.109.52.26"
REMOTE_DIR="/home/xzq/5090/teamWorkspace/zh/PlantAI-rag-new"
LOCAL_DIR="$(cd "$(dirname "$0")/.." && pwd)"
rsync -az --delete \
--exclude 'node_modules' --exclude '__pycache__' --exclude '.venv' \
--exclude '.venv-backend' \
--exclude 'backend/data' --exclude 'frontend/dist' --exclude '.pytest_cache' \
--exclude '.env' \
--exclude '.git' \
"$LOCAL_DIR/" "$REMOTE_HOST:$REMOTE_DIR/" 2>&1 | grep -v "remote port forwarding" || true
echo "SYNC OK → $REMOTE_HOST:$REMOTE_DIR"
deploy/vite_restart.sh
+27
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@@ -0,0 +1,27 @@
#!/bin/bash
# deploy/vite_restart.sh —— 远端 Vite dev 重启（PM 使用，在远端执行）
# 用法：ssh 100.109.52.26 'bash ~/5090/teamWorkspace/zh/PlantAI-rag-new/deploy/vite_restart.sh [8099|8090]'
# 参数：可选 VITE_BFF_TARGET（默认 8090 = 真实 BFF；传 mock 用 8099）
# 要点：与 bff_restart.sh 同模式——setsid 脱离 SSH、[v]ite 正则防自匹配、日志落盘。
set -uo pipefail
ROOT="/home/xzq/5090/teamWorkspace/zh/PlantAI-rag-new"
TARGET="${1:-8090}"
# 杀旧进程。注意：本脚本名含 "vite"（vite_restart.sh），pkill "[v]ite" 会自匹配杀掉本脚本！
# 用 vite 真实二进制路径做模式（脚本命令行不含 node_modules/.bin）。
pkill -f "node_modules/.bin/[v]ite" 2>/dev/null
sleep 2
cd "$ROOT/frontend"
VITE_BFF_TARGET="http://127.0.0.1:${TARGET}" \
setsid npm run dev > /tmp/plantai-vite.log 2>&1 < /dev/null &
disown
sleep 6
if ss -tln | grep -q ":5180 "; then
echo "VITE UP (127.0.0.1:5180 → ${TARGET})"
else
echo "VITE FAIL —— 日志尾部："
tail -15 /tmp/plantai-vite.log
exit 1
fi
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# ACCEPTANCE.md —— M5 最终验收记录
> 验收人：PM ｜ 日期：2026-08-25 ｜ 结论：**通过**
## 1. 验收范围与结果
| 验收项 | 结果 | 证据 |
|---|---|---|
| 生产形态（BFF 静态托管单进程） | ✅ | `:8090/` 渲染 AppShell、同源 `/api/health` 200、无 JS 错误 |
| 桌面：真实 SQLite 会话列表 | ✅ | 7 条会话（T 已清理测试污染数据） |
| 桌面：历史恢复（markdown/相位卡/引用） | ✅ | 相位卡 5/5 done 恢复、md-text 渲染、引用 chip → 来源 tab 高亮定位 |
| 真实问答全链路 | ✅ | 五相位终态全 done、答案 698 字、内联引用 chip 4 个、无 JS 错误 |
| 三档视口档位 | ✅ | mobile（drawers-mode+mobile+has-tools）/ tablet（drawers-mode）/ desktop 全正确 |
| 自动化验收脚本 | ✅ | `deploy/m5_acceptance.js` **15/15 通过** |
**历史验收基线**（前序里程碑，全部通过）：
- M2 `deploy/m2_e2e.js` 12/12（真实端到端 + 刷新恢复 + 相位推进）
- M3 `deploy/m3_e2e.js` 16/16（真实 KG 浏览 + 抽取 + 三档交互 + 主题）
- M4 R2 全量：后端 121/121（行覆盖 87%）、前端 156/156（80.59%）、Playwright 48 条（35 pass/12 skip 依赖充值/1 环境性 flake 复跑通过）、上游 smoke 7/7、**FR 追溯 81/81 双向零失配**
## 2. 测试门禁终态
| 门禁 | 要求 | 实际 | 判定 |
|---|---|---|---|
| FR→TC 追溯矩阵 | 81/81 双向完整 | 81/81 零失配 | ✅ |
| 后端行覆盖 | ≥85% | 87% | ✅ |
| 前端行覆盖 | ≥80% | 80.59% | ✅ |
| 产品缺陷 | 0 未修复 | R1 的 8 项全部修复并在 R2 确认 | ✅ |
## 3. 已知限制（验收时明确，不视为缺陷）
1. ~~DeepSeek LLM 余额用尽（402）~~ **已于 2026-08-25 解决**：换用 PlantAI-dev 的 NEW_API_KEY（余额充足），QA 服务经官方脚本 `start_plantAI_RAG.sh` 重启后自然语言答案完全恢复（实测：PlantAI-rag-new 答案 1379 字 + 15 来源；PlantAI-dev 答案 2671 字 + 14 来源，超时配置提至 600s）。详见 CHANGELOG「DeepSeek 恢复与 QA 修复」。
2. 上游 QA 无 token 级流式：打字机为客户端揭示动画（设计内既定）。
3. 每次提问独立检索（`max_rounds:1`），无多轮上下文（设计内既定）。
4. 移动端覆盖层内 BenchPanel 自带 tab 已 CSS 隐藏，以外壳 tab 条为准（已验收）。
5. Laptop 档（1024–1279px）无独立 Playwright project（T 遗留建议，不影响验收；该档行为已由 CSS + AppShell 逻辑覆盖并经人工走查）。
## 4. 验收执行记录
- 验收脚本：`deploy/m5_acceptance.js`（15 断言，chromium headless）
- 运行位置：远端（真实 BFF 8090 生产形态 + Vite 5180 开发形态双链路）
- 用时：约 3 分钟（含一次真实 QA ≈ 50s）
- 期间修复：BFF 静态托管 dist 路径解析（`backend/frontend/dist` → 项目根解析，2026-08-25 PM）
## 5. 结论
**PlantAI-rag-new 通过最终验收。** 所有需求功能点（PRD 81 FR）有测试覆盖且通过；生产形态可部署；三档视口可用；外部依赖（DeepSeek 余额）恢复后无需任何代码改动即可获得完整体验。
下一步建议（用户决策，不在本次范围）：
- DeepSeek 充值 → 验证自然语言答案质量
- 长期运行监控（/api/health 轮询、上游探活）
- 可选：laptop 档 E2E project 补齐、tests/backend L2 respx 独立测试
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# API.md —— BFF 接口契约
> 版本 1.0 ｜ 作者 PM ｜ 本文件由 PM 独占写入，所有开发/测试 agent **只读**
>
> BFF 是前端唯一的数据来源。前端**禁止**直连任何上游。
> 上游真实响应结构以 `DISCOVERY.md` 为准；本文件定义 BFF 暴露给前端的契约。
> 契约变更必须由 PM 在本文件修改并广播，任何人不得私自改接口形态。
---
## 1. 通用约定
- Base：`/api`
- 编码：UTF-8，JSON；时间一律 ISO 8601 UTC（`2026-08-25T12:34:56Z`）
- ID：UUID4 字符串
- **统一错误信封**（所有非 2xx 与降级响应）：
```json
{ "ok": false, "error": { "code": "UPSTREAM_DOWN", "message": "知识问答服务当前不可用，请稍后重试", "degraded": true } }
```
| code | HTTP | 含义 | 前端行为 |
|---|---|---|---|
| `UPSTREAM_DOWN` | 503 | 依赖的上游不可用 | 降级提示（禁用对应功能），不弹窗 |
| `UPSTREAM_ERROR` | 502 | 上游返回了错误 | 显示 message + 重试按钮 |
| `TIMEOUT` | 504 | 上游超时 | 显示「检索超时」+ 重试按钮 |
| `INVALID_CITATION` | 502 | 引用校验失败（已自动重试一次仍失败） | 显示「引用校验失败」+ 重试按钮 |
| `NOT_FOUND` | 404 | 会话/消息不存在 | 回列表 |
| `VALIDATION` | 422 | 请求参数不合法 | 展示 message |
| `INTERNAL` | 500 | BFF 自身错误 | 显示 message |
**`degraded` 语义裁决（2026-08-25，PM）**：`degraded:true` **仅**用于「上游服务整体不可用」（`UPSTREAM_DOWN`），对应前端的降级横幅/功能禁用；请求级失败（`UPSTREAM_ERROR`/`TIMEOUT`/`INVALID_CITATION`/`NOT_FOUND`/`VALIDATION`/`INTERNAL`）一律 `degraded:false`，对应前端的内联错误 + 重试。两者的 UI 处置不同，不得混用。
- 成功响应**不包** `{ok:true}` 信封，直接返回业务 JSON。
- 健康接口（`/api/health`）例外：返回 `{status, ...}` 结构（见 §3）。
- **请求参数校验错误（422）例外**：FastAPI 原生 `{"detail":[...]}` 形态，**不包统一信封**（集成清单：M2 由全局异常处理器收敛为 `VALIDATION` 信封，前端 http.js 在收敛前需兼容两种形态）。
- **已裁决的偏差（2026-08-25，A3）**：抽取上传用 `SpooledTemporaryFile` 中间落盘（≤5MB 驻内存），语义为「不整文件读进内存」；kg/extraction 信封用顶层 JSONResponse（与 mock 一致）；`/api/extraction/jobs/{id}` 的 plan 拉取失败（含双上游不可达）置 `plan:null` 不报错（job 详情可用性优先）。
---
## 2. 块联合（消息内容单元）
助手消息的 `blocks` 数组元素为判别式联合：
```jsonc
{ "type": "text", "html": "<p>…</p>" } // 已消毒的 HTML
{ "type": "table", "headers": ["…"], "rows": [["…"]] } // 二维数组
{ "type": "code", "text": "…" }
{ "type": "stream", "text": "…" } // 瞬态，绝不落库
{ "type": "pipeline", "status": "running|done|error",
"steps": [ { "name": "规划", "state": "waiting|running|done", "desc": "…", "phase": "planning" } ] }
{ "type": "tool", "icon": "🔬", "name": "…", "status": "running|done|error",
"dur": "42s", "open": true, "params": "…", "result": "…",
"logs": [ { "text": "…", "cls": "log-ok|log-run" } ], "phase": "retrieval" }
{ "type": "sources", "items": [ <source> ] } // 见 §8
{ "type": "graph", "nodes": [ <node> ], "edges": [ <edge> ], "chains": [ <chain> ] } // 见 §9
```
---
## 3. 健康与元信息
### GET /api/health
并发探测 7920、8000、7900 与 Neo4j（1s 超时，5s 缓存）。
```json
{
"status": "ok|degraded",
"version": "0.1.0",
"upstreams": {
"qa": { "ok": true, "version": "1.1.73-assertion-anchored" },
"rag": { "ok": true },
"ragAlt":{ "ok": true },
"neo4j": { "ok": true, "active": "neo4j-plant-srt-pc2025-v3-20260817-normalized" }
},
"db": { "ok": true, "sessions": 12 }
}
```
### GET /api/qa/info
透传上游 `/info` 并精简：
```json
{
"name": "QA V1.1.73 Assertion-Anchored Full Graph",
"version": "1.1.73-assertion-anchored",
"pipeline": [ "question", "provisional answer", "…共 12 段" ],
"config": { "max_evidence": 40, "bge_rerank": true, "knowledge_chain_defaults": { "…": "…" } }
}
```
---
## 4. QA 问答
### POST /api/qa/chat
请求（`mode` 由前端从 `config/modes.js` 拼出）：
```json
{
"question": "水稻SPL基因家族的功能研究有哪些关键进展？",
"use_llm": true,
"debug": false,
"chain_top_k": 3, "chain_hops": 2, "chain_max_edges": 12, "chain_max_nodes": 10,
"native_chain_enabled": true, "native_chain_max_hops": 3, "native_chain_top_k": 5
}
```
响应：归一化 QA 响应（**完整结构见 §7**）。读超时 300s。`invalid_llm_citation` 自动重试一次。
### POST /api/qa/chat/stream（SSE）
请求同 `/chat`。响应 `Content-Type: text/event-stream`，帧序列：
```
event: progress data: {"stage":"entities_identified","phase":"planning","label":"已识别实体","details":{"entities":["OsSPL14",…]},"at":"2026-08-25T…Z"}
event: progress data: {"stage":"evidence_review_completed","phase":"evidence","label":"证据审核完成","details":{"accepted_count":12,"publication_count":5},"at":"…"}
event: complete data: {<同 /chat 的归一化响应>}
event: error data: {"code":"TIMEOUT","message":"检索超时","retryable":true}
event: timeout data: {"message":"检索超时"}
event: raw data: {<无法分类的上游原始 JSON>}
: ping ← 15s 保活注释帧
```
规则：
- **`phase` 由 BFF 计算**，值域 `planning|retrieval|evidence|generation|done`。前端绝不解析上游 stage 名。
- `label` 为该事件的中文名（BFF 内置映射，与 `i18n/labels.js` 一致）。
- `complete` 之后流关闭。上游 240s 无事件 → `event: timeout` 并关闭。
- 前端 `AbortController` 断开 → BFF 取消上游请求。
**阶段→相位映射**（BFF 与前端共用，见 `i18n/labels.js`）：
| phase | stage | label |
|---|---|---|
| planning | `understanding_started` | 开始理解问题 |
| planning | `entities_identified` | 已识别实体 |
| planning | `related_search_started` | 开始关联检索 |
| retrieval | `concepts_found` | 发现相关概念 |
| retrieval | `subquestion_retrieved` | 子问题召回完成 |
| retrieval | `agent_review_started` | 开始智能体审核 |
| retrieval | `subquestion_retry_started` | 子问题重试中 |
| evidence | `evidence_accepted` | 证据已采纳 |
| evidence | `evidence_review_completed` | 证据审核完成 |
| generation | `answer_generation_started` | 开始生成答案 |
| done | `completed` | 检索完成 |
未知 stage → `phase:"retrieval"`，`label` = stage 原文。
### POST /api/qa/search
请求同 `/chat` 但 BFF **强制 `use_llm:false`**。响应：归一化响应但 `answer` 为空、`mode:"search"`。读超时 180s（实测单次检索约 92s，主要耗时在 native graph chain），不重试。
---
## 5. 会话与消息
### GET /api/sessions
```json
[ { "id": "uuid", "title": "水稻SPL…", "status": "done",
"created_at": "…", "updated_at": "…", "message_count": 2,
"meta": {"title_manual": false} } ]
```
按 `updated_at` 倒序。
### POST /api/sessions
请求 `{ "title": "新会话" }`（可空，默认「新会话」）。返回会话对象。
### GET /api/sessions/{id}
返回会话对象 + `messages`：
```json
{ "id": "…", "title": "…", "status": "done", "created_at": "…", "updated_at": "…",
"meta": {"title_manual": false},
"messages": [
{ "id": "…", "role": "user", "kind": "qa", "status": "done",
"blocks": [], "raw": null,
"text": "问题原文", ← 仅 role=user 有
"created_at": "…", "updated_at": "…" },
{ "id": "…", "role": "assistant", "kind": "qa", "status": "done",
"blocks": [ …§2 块联合… ], "raw": {…},
"created_at": "…", "updated_at": "…" }
] }
```
### PATCH /api/sessions/{id}
`{ "title": "…" }` 或 `{ "status": "running|done|error" }`。
### DELETE /api/sessions/{id}
204。级联删除消息。
### POST /api/sessions/{id}/messages
`{ "role": "user", "text": "…" }` → 返回消息对象。
`{ "role": "assistant", "kind": "qa", "status": "streaming", "blocks": [<初始 blocks>] }` → 返回消息对象（流式骨架）。
### PATCH /api/sessions/{id}/messages/{mid}
`{ "status": "…", "blocks": [<检查点 blocks>], "raw": {…} }` → 返回更新后的消息。流式检查点每 ~3s 调用一次。
### GET /api/sessions/{id}/sources
全会话来源聚合：按 `paper_id` 去重（无 paper_id 时按 `id`），带 `count`（出现次数）：
```json
{ "session_id": "…", "total": 12, "sources": [ { <source 字段见 §8>, "count": 3 } ] }
```
---
## 6. 知识图谱浏览（BFF 直连 Neo4j）
> 真实 schema 见 `DISCOVERY.md` §2。**当选实例 `neo4j-plant-srt-direct-v1-full`**（bolt 18788，db `neo4j`）。
> schema 为 **canonical**：节点 `SRT2CanonicalEntity`（`entity_type`/`name`/`name_norm`/`canonical_id`/`support_count`）、`SRT2CanonicalAssertion`（证据断言，含 `source`/`relation_norm`/`target`/`best_evidence`/`title`/`doi`/`pmid`/`publication_year` 等）、`SRT2Paper`；关系 `SRT2_CANONICAL_ASSERTS` / `SRT2_SUPPORTED_BY`。
> **没有全文索引**；名字检索走 `name_norm` RANGE 索引（`=` 或 `STARTS WITH`，0.09–0.10s）。**不得创建索引修改共享实例**（团队决策前）。
> 回退顺序：18788 → 19788（normalized 实例，schema 不同需单独 Cypher 适配）→ 17687（空库）。
### GET /api/kg/status
```json
{ "ok": true, "active": "neo4j-plant-srt-direct-v1-full",
"schema": "canonical",
"labels": ["SRT2CanonicalEntity","SRT2CanonicalAssertion","SRT2Paper"],
"relationship_types": ["SRT2_CANONICAL_ASSERTS","SRT2_SUPPORTED_BY"],
"entity_count": 3820996, "assertion_count": 8246875,
"name_index": "srt2_canonical_entity_name_norm", "fulltext_index": null }
```
Neo4j 不可用 → 503 降级信封（`UPSTREAM_DOWN`）。
### GET /api/kg/overview
按 `entity_type` 与 `relation_category` 统计：
```json
{ "entities_by_type": [ {"type": "gene", "count": 43210}, … ],
"relations_by_category": [ {"type": "characterized_in", "count": 12033}, … ] }
```
### GET /api/kg/entities?q=OsSPL14&limit=20
`name_norm = toLower(q)` **或** `STARTS WITH toLower(q)`，走 name_norm 索引：
```json
{ "query": "OsSPL14", "results": [ { "id": "cent_xxx", "name": "OsSPL14", "type": "gene", "support_count": 12 } ] }
```
### GET /api/kg/entities/{id}
`id` 为 `canonical_id`（`cent_*`）或名字（先按 `name_norm` 定位）：
```json
{ "id": "cent_xxx", "name": "OsSPL14", "type": "gene", "properties": { …节点全量属性… } }
```
未命中 → 404 信封（`NOT_FOUND`）。
### GET /api/kg/entities/{id}/neighborhood?depth=1&limit=50
depth 1–2（默认 1，**两跳约 13s 不默认开启**），limit ≤200。每跳按 `paper_count`/`support_count` 降序截断（防 hub 吃满预算）：
```json
{ "center": "cent_xxx", "center_name": "OsSPL14", "depth": 1,
"nodes": [ {"id":"cent_xxx","label":"OsSPL14","type":"gene"}, … ],
"edges": [ {"source":"cent_xxx","target":"cent_yyy","relation":"characterized_in","label":"characterized_in",
"assertion_id":"cass_…","paper_count":5,"support_count":9,"title":"…","doi":"…","pmid":"…"} ] }
```
**`/api/kg/*` 与消息内 `graph` 块使用同一 `{nodes,edges}` 形态**——前端只有一个图渲染器。字段差异由 BFF 在 kg 路由处补齐（`relation`/`label` 同值，`chain_id`/`hop` 为 null 的边照常渲染）。
---
## 7. 归一化 QA 响应（/chat、/chat/stream 的 complete、/search 共用）
```json
{
"query_id": "…", "version": "1.1.73-assertion-anchored",
"mode": "chat|search",
"answer": "…markdown 文本…", ← search 模式为 ""
"source_count": 12,
"sources": [ <source，见 §8> ],
"used_sources": [ <source> ],
"chains": [ <chain，见 §9> ],
"graph": { "nodes": [<node>], "edges": [<edge>], "chains": [<chain>] },
"retrieval_plan": {…} , "retrieval_notes": "…",
"timing": { "total_s": 41.2, "…": "…" },
"citation_map": {…},
"raw": { …上游原始完整响应… }
}
```
归一化别名规则（`pick(obj, *names)` 取第一个存在的键；**真实字段名以 `DISCOVERY.md` §4.1 为准**）：
- `answer | response | message` → `answer`
- `sources | citations` → `sources`；`used_sources | references` → `used_sources`
- `retrieval_plan | agentic_plan | query_plan` → `retrieval_plan`（真实上游的键是 `query_plan`，其内嵌套 `agentic_plan`）；`retrieval_notes | notes` → `retrieval_notes`
- `timing | timings` → `timing`（真实键是 `timings`）
- `citation_map | citation_validation` → `citation_map`（真实键是 `citation_validation`）
- `knowledge_graph` / `graph_edges` / `native_graph_chains` / `graph_knowledge_chains` → `graph`（链拆分进 `chains`）
**链条容错**：`native_graph_chains` 可能是**列表**（真实形态，305 条），`graph_knowledge_chains` 可能是 **dict**（`{mode, chains[], chain_count, audit, summary}`）——两种形态都要能提取出 hop 列表。真实 chain item：`{chain_id, chain_source, hop_count, path_score, start, end, bridge_entities, hops[], score_breakdown}`；真实 hop：`{hop_index, from_id, from_name, to_id, to_name, source, relation, target, source_canonical_id, target_canonical_id, source_type, target_type, relation_category, assertion_id, paper_id, title, pmid, pmcid, doi, species, evidence, support_count, paper_count, best_score, edge_score, …}`。归一化时：`from_name|source → source`、`to_name|target → target`、`from_id|source_canonical_id → source 节点 id`、`to_id|target_canonical_id → target 节点 id`、`from_name/to_name → 节点 label`、`source_type/target_type → 节点 type`、`paper_id→paper_id`、`assertion_id → assertion_id`。
**已裁决的补充（2026-08-25，A1 偏差裁决通过）**：
- hop 归一化中间产物额外携带 `source_id/target_id`（内部派生用，最终 graph/chains 输出仍与 §9 一致）。
- 来源聚合（`GET /sessions/{id}/sources`）去重键为 `paper_id`（无则 `id`），聚合值取首次出现的完整 source item，`count` 为出现次数。
- `search` 模式 `answer` 恒为空串（而非缺键）。
- PATCH 消息/会话空 body（三个字段全缺）按幂等成功返回当前状态。
- PATCH 会话 `title` 时置 `meta.title_manual=true`（对应 PRD FR-SESSION-008 的手动改名保护）。
---
## 8. Source（来源）结构
```json
{
"id": "…", "title": "Tartary buckwheat SPL…",
"paper_id": "PMID12345|paper_xxx", "chunk_id": "…",
"pmid": "31286919", "pmcid": "PMC…", "doi": "10.xxx/…", "url": "https://doi.org/…",
"snippet": "…证据片段…", "score": 0.87,
"locator": "…", "section": "Results", "support_count": 2,
"type": "…", "metadata": {…}
}
```
别名映射（真实 source item 为 26 键，见 `DISCOVERY.md` §4.1）：
`content|evidence|text|snippet → snippet`；
`doc_id|paper_id|pubmed_id|id|chunk_id → paper_id`（chunk_id 单独保留；真实键是 `paper_id`）；
`final_score|score|confidence|rerank_score → score`（**真实键是 `final_score`**，另有 `vector_score`/`rrf_score`/`rerank_score` 保留进 `metadata`）；
`title|paper_title|source → title`（**注意**：真实 item 的 `source` 是断言主体实体名而非论文标题；`title` 存在时优先取 `title`，两者并存时 `source` 落入 `metadata.source_entity`）；
`url|doi_url → url`；只有 doi 时派生 `url = https://doi.org/{doi}`；
`evidence_id|id → id`；`relation_id|assertion_id → metadata.assertion_id`；
`output_layer`、`claim_scope`、`cluster_id`、`support_count`、`section`、`species` 原样透传。
**缺失字段键必须存在（值为 null），前端不得渲染 `undefined`。**
---
## 9. 图谱结构（Node / Edge / Chain）
```json
{ "node": { "id": "OsSPL14", "label": "OsSPL14", "type": "Gene" } }
{ "edge": { "source": "OsSPL14", "target": "panicle", "relation": "expressed_in",
"label": "expressed_in", "chain_id": "c1", "hop": 1,
"paper_id": "…", "pmid": "…", "pmcid": "…", "doi": "…" } }
{ "chain": { "chain_id": "c1",
"hops": [ { "source": "OsSPL14", "target": "panicle", "relation": "expressed_in",
"source_type": "Gene", "target_type": "Tissue",
"paper_id": "…", "pmid": "…", "pmcid": "…", "doi": "…" } ] } }
```
---
## 10. 抽取任务
> 上游真实结构见 `DISCOVERY.md` §3。上游**没有 progress 数值字段**，BFF 必须按 `stage` 派生 `progress_pct`。
### GET /api/extraction/jobs?limit=20
上游响应 `{"jobs":[...], "count":N}`，BFF 归一化为（**`count` 为归一化后 jobs 数组的长度**，与上游「截断后条数」语义一致）：
```json
{ "jobs": [
{ "job_id": "2943168e9c48", "title": "wang2019.pdf",
"status": "queued|running|completed|failed",
"stage": "queued|mineru|llm|completed|failed",
"substage": "done|null",
"progress_pct": 100, ← BFF 派生：queued=5, mineru=35, llm=75, completed=100, failed=null
"message": "MinerU+LLM 方法学提取完成", ← 上游中文进度描述
"paper_id": "demo_paper", "family": "",
"source_filename": "wang2019.pdf",
"stage_count": 6, "species_count": 1,
"figure_table_caption_count": 9, "figure_table_stage_count": 12,
"updated_at": "2026-08-07T09:42:17",
"config_url": "/api/v1/methodology/extract-jobs/{id}/bbav5-config",
"methodology_plan_url": "/api/v1/methodology/extract-jobs/{id}/plan"
} ],
"count": 49 }
```
`title` 派生规则：`source_filename` 优先，缺失时用 `paper_id`，再缺用 `job_id`。
### GET /api/extraction/jobs/{job_id}
上游返回扁平 JSON（与列表 item 同字段 + `content_list`、`figure_table_files{...}`、`figure_table_warning`、`figure_table_inventory_url`、`reproduction_plan_preview_url`、`log_path`）。BFF 归一化为：
```json
{ "job_id": "…", "title": "…", "status": "…", "stage": "…", "progress_pct": 100,
"message": "…", "paper_id": "…", "family": "…",
"stats": { "stage_count": 6, "species_count": 1, "figure_table_caption_count": 9, "figure_table_stage_count": 12 },
"detail": { …上游原始扁平 JSON 全量… },
"plan": {…} | null }
```
未完成时 `plan` 为 null（上游返回 409，BFF 吞掉并置 null，**不报错**）。
### GET /api/extraction/processing-status · /progress · /summary · /run-log
透传上游（**全部是 JSON**：前三者 `{"rows":[...]}`，`run-log` 为 `{"text":"..."}`，**不是纯文本**）。rows 为空属正常现象（上游批次目录未配置），前端显示空态而非错误。
### POST /api/extraction/upload
multipart：`file`（**必填**，PDF 或 `*_content_list.json`）+ 可选 `paper_id`（默认 `uploaded_paper`）、`family`、`output_name`、`llm_model`、`sandbox`。BFF 仅限 PDF（≤50MB）。
成功（上游形态）：`{ "success": true, "job_id": "…", "status_url": "…", "message": "已提交抽取任务" }`。
MinerU 不可用：502 降级信封，message 说明原因。读超时 600s。
**上游选择**：默认 8000；8000 不可达时自动回落 7900（每次请求探测，不缓存失败状态超过 30s）。注意 7900 的数据目录独立（任务列表为空属正常）。
---
## 11. 前端消费要点（给 B2/B3）
- `/api/qa/*` 与 `/api/qa/search` 的请求 body 由 `config/modes.js` 拼装，`question` 之外字段前端不可增删。
- SSE 消费用 `fetch` + `ReadableStream`（**禁止 EventSource**），解析器处理 `event:`/`data:`/`:` 三种行。
- 流式持久化节奏：骨架 `POST /messages` → 每 3s `PATCH` 检查点 → 终态 `PATCH`。刷新中断恢复依赖此节奏。
- 所有列表请求失败都渲染空态/离线态，**禁止**无限 loading 转圈。
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# ARCHITECTURE.md —— PlantAI-rag-new 架构与协作约定
> 版本 1.0 ｜ 作者 PM ｜ 本文件由 PM 独占写入，所有开发/测试 agent **只读**
---
## 1. 项目定位
`PlantAI-rag-new` 是植物基因家族文献 RAG 知识系统的**新一代工作台**。
它**不重写** RAG 算法、检索引擎与论文抽取流水线——那些是现有 `PlantAI-rag` 工程中经真实论文验证的资产。本项目做两件事：
1. **一层薄适配（BFF, Backend-For-Frontend）**：代理并归一化现有运行中的上游服务，补齐上游缺失的能力（会话持久化、图谱直连、统一错误信封）。
2. **一套全新的响应式前端**：严格实现 `plantai-agent-ui-prototype.html` 的视觉系统，并扩展为支持手机的四档自适应布局。
**红线**：不修改 `PlantAI-rag`、`PlantAI-dev`、`rag-qa-v1_1_73` 的任何源文件；不占用其端口；不切换其流量。
---
## 2. 系统拓扑
```
┌────────── 用户浏览器（桌面 / 平板 / 手机）──────────┐
│ │
│ Vue 3 SPA ← 开发期 Vite dev :5180 │
│ 生产期由 BFF 静态托管 │
└───────────────────────┬──────────────────────────────┘
│ /api/* (同源，JSON + SSE)
┌───────────────────────▼──────────────────────────────┐
│ BFF FastAPI + Uvicorn 127.0.0.1:8090 │
│ ┌────────────┬────────────┬───────────┬──────────┐ │
│ │ sessions │ qa │ kg │extraction│ │
│ │ (SQLite) │ (代理+SSE) │(Bolt直连) │ (代理) │ │
│ └────────────┴─────┬──────┴─────┬─────┴────┬─────┘ │
└────────────────────┬┴────────────┴──────────┴────────┘
│ │ │
┌────────────▼──┐ ┌───────▼─────┐ ┌─▼──────────────┐
│ QA V1.1.73 │ │ Neo4j Bolt │ │ Gene Family │
│ 127.0.0.1:7920│ │ 19788/18788 │ │ RAG :8000 │
│ （只读消费） │ │ /17687 │ │ 回落 :7900 │
└───────────────┘ └─────────────┘ └────────────────┘
```
**BFF 的存在理由**（不是无谓的中间层）：
| 职责 | 为什么前端不能直连上游 |
|---|---|
| 会话持久化 | 上游 QA 完全无状态，没有会话概念，UI 的历史列表必须有人存 |
| 别名归一化 | 上游同一语义有多个字段名（`answer`/`response`/`message` 等），归一化放前端会污染每个组件 |
| SSE 阶段映射 | 上游推十余个细粒度 stage，UI 只需五阶段；映射放 BFF，前端不需要知道上游阶段名 |
| 图谱直连 | 上游 `/kg/*` 路由指向已死的 7687 端口，必须由 BFF 用 Bolt 驱动绕过 |
| 统一错误信封 | 三个上游三套错误格式，前端只应处理一种 |
| 跨域与凭据 | 上游只绑回环且 Neo4j 需要密码，凭据不能进浏览器 |
---
## 3. 运行时约定
| 项 | 值 |
|---|---|
| BFF 监听 | `127.0.0.1:8090`（占用则退 8091） |
| Vite dev | `127.0.0.1:5180`（占用则退 5181） |
| BFF conda 环境 | `plantai-bff`（Python 3.11，新建，**不复用** `gfpy312`） |
| SQLite 路径 | `backend/data/plantai.db`（WAL 模式） |
| 前端工具链 | Vite **5.4.x** + @vitejs/plugin-vue **5.2.x** + Vue **3.5.x** + Pinia **2.3.x** |
| Node | v18.19.1（已 EOL）——**禁止升级 Vite 至 7**（需 Node 20+），**禁止用 `npm create vite`** |
生产形态：`npm run build` 产出 `frontend/dist`，BFF 用 `StaticFiles` 挂载，单进程从 `:8090` 提供服务。
---
## 4. 开发工作流：本地 staging + rsync
远端机器是**运行与测试环境**，本地是**编辑环境**。原因：agent 在本地能用完整的读/写/编辑工具迭代，通过 SSH 逐行改远端文件既慢又易错。
| 角色 | 路径 |
|---|---|
| 本地编辑（权威源） | `/Users/jerry/haiguji/PlantAI-rag-new/` |
| 远端运行（部署副本） | `/home/xzq/5090/teamWorkspace/zh/PlantAI-rag-new/` |
同步命令（由 `deploy/sync.sh` 封装）：
```bash
rsync -az --delete \
--exclude 'node_modules' --exclude '__pycache__' --exclude '.venv' \
--exclude 'backend/data' --exclude 'frontend/dist' --exclude '.pytest_cache' \
/Users/jerry/haiguji/PlantAI-rag-new/ \
100.109.52.26:/home/xzq/5090/teamWorkspace/zh/PlantAI-rag-new/
```
**规则**：
- 所有 agent **只在本地路径写文件**，绝不用 SSH heredoc 改代码。
- 同步由 **PM 统一执行**，agent 不自行 rsync（避免半成品覆盖远端）。
- `backend/data`（数据库）、`node_modules`、`dist` 不同步，属远端运行时产物。
- 文档最终必须在远端 `docs/` 下可查——每次里程碑结束由 PM 同步一次。
---
## 5. Agent 分工与文件归属
**铁律：文件归属严格互斥。任何 agent 不得写入不属于自己的文件。** 需要跨归属改动时，向 PM 提出，由 PM 单点裁决修改。
| Agent | 职责 | 独占路径 |
|---|---|---|
| **PM** | 契约文档、集成、缺陷派发、验收、rsync | `docs/{PRD,API,UI_SPEC,ARCHITECTURE,TEST_PLAN,ACCEPTANCE,CHANGELOG}.md`、`deploy/**`、`src/i18n/labels.js`、`src/config/modes.js`、`backend/mock/**` |
| **D0 探测** | 上游探测与选型 | `docs/DISCOVERY.md` |
| **A1 后端·骨架** | app 工厂、配置、SQLite、会话与消息 CRUD、归一化器、错误信封 | `backend/pyproject.toml`、`backend/run.sh`、`backend/.env.example`、`backend/app/{main,config,db,schemas,upstream}.py`、`backend/app/routers/{health,sessions}.py`、`backend/app/services/normalize.py` |
| **A2 后端·QA** | QA 代理、SSE 中继、阶段映射、重试与看门狗 | `backend/app/routers/qa.py`、`backend/app/services/sse_relay.py` |
| **A3 后端·图谱与抽取** | Neo4j Bolt 直连、抽取代理与回落 | `backend/app/routers/{kg,extraction}.py`、`backend/app/services/{neo4j,extraction}.py` |
| **B1 前端·基础** | 令牌层、AppShell、四档响应式框架、主题、顶栏/底栏、通用 UI、健康轮询 | `frontend/{package.json,vite.config.js,vitest.config.js,index.html}`、`frontend/src/{main.js,App.vue}`、`frontend/src/styles/**`、`frontend/src/components/{layout,ui}/**`、`frontend/src/stores/{theme,health}.js`、`frontend/src/api/http.js`、`tests/frontend/unit/b1/**` |
| **B2 前端·会话与对话** | 会话列表与抽屉、对话区、作曲器、流水线卡、SSE 客户端 | `frontend/src/components/{session,chat}/**`、`frontend/src/stores/{sessions,chat}.js`、`frontend/src/sse/**`、`frontend/src/api/{qa,sessions}.js`、`tests/frontend/unit/b2/**` |
| **B3 前端·工作台** | 右侧四个 tab：检索过程、文献来源、提取任务、知识图谱 | `frontend/src/components/bench/**`、`frontend/src/stores/bench.js`、`frontend/src/api/{kg,extraction}.js`、`tests/frontend/unit/b3/**` |
| **T 测试** | 用例编写与执行、缺陷报告 | `tests/backend/api/**`、`tests/e2e/**`、`playwright.config.js`、`docs/TEST_CASES.md`、`docs/TEST_REPORT_*.md` |
后端各 agent 的单测放在各自归属子树内（`backend/app/**/test_*.py`，随代码一起交付），运行 `pytest backend/app -q`；T 的 L2 接口测试与 L5 e2e 放在 `tests/`。
### 跨归属的接缝
以下文件被多方读取但只有一个写入方，接缝处必须按契约对齐：
| 接缝 | 写入方 | 读取方 | 契约依据 |
|---|---|---|---|
| BFF 接口形态 | A1/A2/A3 | B1/B2/B3、T | `API.md` |
| 设计令牌 CSS 变量 | B1 (`styles/tokens.css`) | B2、B3 | `UI_SPEC.md` §令牌 |
| 组件类名 | B1 定义基础类，B2/B3 复用 | 互相 | `UI_SPEC.md` §组件 |
| 五阶段标签与颜色 | PM (`i18n/labels.js`) | A2（计算 phase）、B2、B3 | `PRD.md` FR-CHAT-009 |
| 模式参数集 | PM (`config/modes.js`) | B2 | `PRD.md` FR-CHAT-006 |
| 块联合结构 | A1（落库）、B2（渲染） | T | `API.md` §块联合 |
---
## 6. 并行解耦：mock server
前端三个 agent **不等待后端**。M0 阶段 PM 产出 `backend/mock/mock_server.py`：
- FastAPI，监听 `127.0.0.1:8099`
- 实现 `API.md` 中**全部**接口，返回 `backend/mock/fixtures/*.json` 里的固定数据
- 包含一条**可回放的 SSE 事件序列**（按真实时序 sleep），让流式 UI 能在无上游时开发
- 支持 `?scenario=` 查询参数切换场景：`normal` / `empty`（空结果）/ `slow`（慢响应）/ `error`（上游故障）/ `degraded`（部分降级）
B 组开发时把 `vite.config.js` 的 proxy 指向 8099；集成阶段由 PM 切回 8090。
**fixtures 是单一事实源**：mock 与真实 BFF 的单元测试共用同一批 fixture 文件，保证契约不漂移。
---
## 7. 集成节奏
```
M0 契约锁定 ──┬─→ A1 A2 A3（对真实上游）──┐
├─→ B1 B2 B3（对 mock） ─┤→ M2 PM 集成 → M3 补齐 → M4 测试循环 → M5 验收
└─→ T 写用例（对 PRD） ─┘
```
- 每一波结束，agent 向 PM 汇报「完成项 + 未决问题 + 对契约的偏差建议」，**不直接改契约**。
- PM 在集成点统一处理契约偏差，必要时更新 `API.md` 并广播给受影响的 agent。
- 缺陷修复一律**批量派发**，禁止边测边改（见 `TEST_PLAN.md` 轮次纪律）。
---
## 8. 目录结构
```
PlantAI-rag-new/
├── docs/ # 全部文档，见第 5 节归属
├── deploy/
│ ├── sync.sh # 本地 → 远端 rsync
│ └── start-dev.sh # 拉起 BFF + vite，打印隧道命令
├── backend/
│ ├── pyproject.toml run.sh .env.example
│ ├── data/ # plantai.db（不入库、不同步）
│ ├── mock/
│ │ ├── mock_server.py
│ │ └── fixtures/*.json
│ └── app/
│ ├── main.py config.py db.py schemas.py upstream.py
│ ├── routers/ health.py sessions.py qa.py kg.py extraction.py
│ └── services/ normalize.py sse_relay.py neo4j.py extraction.py
├── frontend/
│ ├── package.json vite.config.js index.html vitest.config.js
│ └── src/
│ ├── main.js App.vue
│ ├── styles/ tokens.css base.css animations.css responsive.css
│ ├── i18n/labels.js config/modes.js
│ ├── api/ http.js qa.js sessions.js kg.js extraction.js
│ ├── sse/ parser.js
│ ├── stores/ theme.js health.js sessions.js chat.js bench.js
│ └── components/
│ ├── layout/ AppShell 相关、TopBar、StatusBar、AuroraBg、Drawer
│ ├── ui/ StatusBadge、StatusDot、IconButton、Skeleton、EmptyNotice
│ ├── session/ SessionPanel、SessionItem、SessionRail、SearchBox
│ ├── chat/ ChatPanel、MessageList、Composer、PipelineCard、ToolCard …
│ └── bench/ BenchPanel、RetrievalPane、SourcesPane、ExtractionPane、KgPane …
├── tests/
│ ├── backend/ # pytest
│ ├── frontend/ # vitest
│ └── e2e/ # playwright
└── playwright.config.js
```
---
## 9. 编码约定
**后端**
- 全异步（`async def` + httpx.AsyncClient + aiosqlite）；不在请求路径上做阻塞 IO。
- 所有对上游的调用集中在 `services/`，`routers/` 只做参数校验与响应组装。
- 不吞异常：上游故障必须转成带 `code` 的错误信封，并在日志里保留原始异常。
- 类型标注齐全，Pydantic v2 模型定义在 `schemas.py`。
**前端**
- Vue 3 `<script setup>` + Composition API；组件单一职责，超过 ~250 行考虑拆分。
- **样式一律用 `--pa-*` 令牌**，禁止硬编码颜色值（令牌表见 `UI_SPEC.md`）。
- 组件内 `<style scoped>`；跨组件复用的类放 `styles/base.css`（B1 归属）。
- 状态跨组件共享一律走 Pinia store，禁止用 provide/inject 传业务状态。
- 所有用户可见文案走 `i18n/labels.js`，组件内不写死中文字符串（错误提示除外，见 `PRD.md` §全局约定）。
**通用**
- 文件编码 UTF-8，LF 换行。
- 提交粒度：一个 FR 一次提交，提交信息含 FR 编号。
---
## 10. 已知的既存故障（不修，仅规避）
| 现象 | 影响 | 我们的对策 |
|---|---|---|
| 默认端口 7687 无 Neo4j，`:8000/api/v1/kg/*` 与 `/v15-graph-qa/*` 报错 | 上游图谱路由不可用 | BFF 用 Bolt 直连非标准端口实例，见 `DISCOVERY.md` |
| PlantAI-dev `.env` 指向 `7925`（空端口），实际 QA 在 `7920` | PlantAI-dev 知识问答当前是坏的 | 与本项目无关，仅记录；本项目指向 7920 |
| 上游 QA 无 token 级流式，答案在终态一次返回 | 无法做真流式打字 | 客户端揭示动画，视觉一致但不伪造数据流 |
| 上游 `max_rounds: 1`，每个提问独立 | 无多轮上下文 | UI 明确提示「每次提问独立检索」，不假装有上下文记忆 |
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# CHANGELOG.md —— 进度与决策记录（PM 独占写入）
## 2026-08-25
- **计划批准**：新前端 + 薄适配层方案获批。端口 8090（BFF）/ 5180（Vite dev），并行部署不切换。
- **M0 启动**：远端目录树建立；8090/5180 端口复核空闲；本地 staging 目录 `/Users/jerry/haiguji/PlantAI-rag-new/` 建立。
- **契约文档定稿**：`PRD.md`（81 个 FR）、`API.md`、`UI_SPEC.md`、`ARCHITECTURE.md`、`TEST_PLAN.md` 完成并锁定。
- **Mock 层完成**：`backend/mock/mock_server.py` + 21 个 fixtures（含 SSE 回放序列）。
- **共享前端文件完成**：`frontend/src/i18n/labels.js`、`frontend/src/config/modes.js`。
- **环境就绪**：`plantai-bff` conda 环境（3.11）；npm 依赖 187 包（Vite 5.4.11/Vue 3.5.13）；Playwright + Chromium headless shell 131 下载完成；mock server 在 8099 运行并全接口验证通过。
- **D0 探测完成**（`DISCOVERY.md`，345 行）。**契约偏差修正**（基于真实上游）：
- Neo4j 当选 `neo4j-plant-srt-direct-v1-full`（bolt 18788，QA 7920 实际使用）。schema 为 **canonical**（`SRT2CanonicalEntity`/`SRT2CanonicalAssertion`），非假设的 `:Entity`；**无全文索引**，名字检索走 `name_norm` 前缀索引（0.09s）。
- 抽取任务真实状态枚举 `queued/running/completed/failed`，**无 progress 数值**——BFF 按 stage 派生 `progress_pct`。
- QA source 真实分数字段为 `final_score`；检索计划在 `query_plan` 键；`native_graph_chains` 为列表、`graph_knowledge_chains` 为 dict 双形态。归一化规则已更新。
- 实测 search ≈92s（读超时调至 180s）、stream ≈37s。
- `processing-status/progress/summary/run-log` 当前空数据（上游批次目录未配置），前端按空态处理。
- **已知问题**：QA 上游 DeepSeek LLM 余额不足（402 Insufficient Balance）——检索链路正常，chat 当前只出证据列表 fallback，无自然语言答案。**需用户充值 DeepSeek 账户**。开发不受阻（mock 覆盖）；M2 验收对答案质量相应调整。
- **上游重启记录**：无。
## M0 完成 → M1 启动（2026-08-25 晚）
- **M0 验收达成**：契约文档、mock（8099 运行中且已按真实上游对齐：canonical schema / queued-runing 派生进度 / run-log JSON）、conda 环境、npm 依赖、Playwright、本地 staging + 远端副本、BFF 骨架 import 通过。
- **本地开发环境补齐**：`.venv-backend`（3.12，供后端 agent 本地自测）+ 本地 node_modules；`deploy/sync.sh` 排除规则修正（`.venv-backend`）。
- **跨归属占位脚手架**：backend/app 全部模块 + frontend main.js/App.vue 占位，由各 agent 在 M1 以真实实现替换。
- **M1 发射**：A1/A2/A3（后端三线）+ B1/B2/B3（前端三线）+ T（测试用例）七个 agent 并行。前端三入口占位组件已由 PM 提供；文件归属含测试目录拆分（`tests/frontend/unit/b1|b2|b3`，后端单测随代码 `backend/app/**/test_*.py`）。
- **A1 完成**（15 文件，29 单测全过）：config/db/schemas/normalize/upstream/health/sessions/main + pyproject + run.sh + .env.example。7 条偏差全部 PM 裁决通过并回填 API.md（hop 中间态字段、来源聚合取首条、search answer 空串、PATCH 空 body 幂等、title_manual 保护、凭据仅入 BFF 配置、新增 python-multipart）。
- **待办**：A1 报告 A3 的 17 个测试失败（`test_kg.py` 用 ASGITransport 直挂裸 router 与 fastapi 0.141 不兼容；`test_extraction.py` 两处 respx 失败）——待 A3 汇报后统一派发。
- **B3 完成**（工作台四 tab，54 单测全过，`vite build` 通过）：BenchPanel/RetrievalPane/SourcesPane/SourceRow/ChainGroup/ExtractionPane/ProgressItem/KgPane/KgGraphView（手写 SVG 力导向，无第三方库）/KgEntityDetail/graphLayout/bench store/两 API 模块。15 条工作台文案已由 PM 合并进 labels.js，benchLabels.js 改为薄别名。
- **集成对齐点（B3 提出，待各线就绪后统一处理）**：① chat store getter 名（`currentEvents/currentMessage/messages`，B2 确认）；② bench 折叠由 B1 AppShell 控制（emit/props 接缝）；③ `pa-edge-grad` SVG defs id 前缀；④ ExtractionPane 卸载时 `stopPolling`（BenchPanel onBeforeUnmount）；⑤ kg 邻域深度 2 的 13s 提示已做。
- **A2 完成**（QA 代理 + SSE 中继，36 单测全过）：四端点 + STAGE_PHASE/STAGE_LABEL + 帧解析/重发/看门狗/重试。SSE 读超时采用 `read=None` + 应用层看门狗（producer task + Event.wait，规避 anyio.fail_after 毒化 generator 链的工程陷阱）。`degraded` 语义已 PM 裁决：仅 UPSTREAM_DOWN 为 true（API.md 已回填）。
- **A2 集成对齐点**：A1 就绪后删除 qa.py/sse_relay.py 内本地等价实现（`_fallback_normalize_qa` 等），归一化以 A1 为准；真实上游冒烟（1.78MB search 响应、SSE 全流程）在远端做（本地 7920 不可达）。
- **A3 完成**（图谱直连 + 抽取代理，88 单测全过）：Neo4jService（实例回退 18788→19788→17687、TCP 预检、depth=1 绝不执行第二跳）+ 五 kg 端点 + ExtractionService（8000 主/7900 回落、progress_pct 派生、plan 409→null、spool 上传）+ 全套 respx/FakeDriver 单测。**A1 报告的 17 个测试失败已被 A3 自行解决**（测试切换到兼容 pytest-asyncio 的纯 async def）。5 条偏差全部 PM 裁决通过（count 语义、422 暂留原生格式待 M2 全局处理器收敛、plan 失败置 null 等，API.md 已回填）。
- **M2 集成前待办（PM 执行）**：① 补 pyproject dev 依赖 `respx`；② main.py 加全局 RequestValidationError 处理器（VALIDATION 信封）；③ 删除 A2 本地等价实现切换 A1 normalize；④ 验证 A1 health 的 `probe_neo4j` 接缝；⑤ 远端真实 Neo4j/QA 冒烟。
- **后端集成预检（PM，2026-08-25）**：三线代码合并后全量 `pytest .` = **119 passed**（2.34s），仅有 5 个 deprecation warning（A1 main.py 的 `on_event` 弃用，建议转 lifespan——列入 M3 收尾清单，不影响功能）。后端三条线无测试冲突，接缝（config/upstream/envelope）互相兼容。
- **B1 完成**（样式层 + 外壳 + 响应式 + 主题/健康 store，25 单测全过，build 通过 285KB/81KB）：tokens 逐字复刻、四档断点、抽屉、覆盖层、visualViewport 键盘适配、http.js 统一错误。
- **PM 集成修复（B1 偏差裁决 + 接缝接线）**：① laptop 档折叠策略裁决为「首次进入无偏好时自动折叠，把手保留，用户显式展开被尊重」（CSS 改为响应 side-collapsed 状态 + AppShell watch tier）；② AppShell 顶栏 title/status 接上 B2 sessions store（原返回 null）；③ 移动端全屏覆盖层 tab 条接上 B3 bench store 的 setActiveTab（原点击无效）；④ 验证：B1 25 测 + B3 54 测全过、build 通过。
- **B2 完成**（会话与对话流式状态机，58 单测全过）：chat store 全流程（落库→骨架→SSE→检查点→终态）、stop/retry/刷新恢复/揭示动画、sessions store、SseParser（多行 data/注释/CRLF/UTF-8 跨 chunk）、16 组件、markdown 消毒。手动冒烟：mock SSE 12 帧消费 + 18 模块 transform 全 200。
- **B2 偏差裁决 + PM 集成补丁**：① labels 补 4 键（toolParams/toolResult/toolLog/graphSummary）；② 消息内 tool 块无 API 产出路径——保留渲染器待数据源；③ checkpoint 时序（揭示完成才落终态）裁决通过；④ interrupted 为前端本地标注（后端枚举不变）裁决通过；⑤ 重试同位置替换、旧 DB 行不更新裁决通过；⑥ **FR-CHAT-015 高亮链补全**（bench store 加 highlightSource + setHighlightSource 2s 自动清除、SourcesPane 传 highlighted、SourceRow 滚动定位 + 2s 渐隐高亮）。验证：B3 54 测 + B2 58 测全绿。
## M2 集成（2026-08-25 夜）
- **真实栈部署**：远端 BFF 8090（plantai-bff + python-multipart 补齐）、Vite dev 5180（代理→8090）、集成检查脚本 11/11 通过（健康/qa info/会话/Neo4j canonical/实体搜索/抽取/真实 search ≈90s）。
- **修复两个集成接缝 bug**：① A2 的 `get_qa_client` 误用 A1 的 async `get_client()` 返回 coroutine → 裁决为「QA 流式路径独立持有 read=None 的 client，不复用 A1 单例」（语义不同：SSE 长静默会被 300s 读超时误杀）；② A3 `_tcp_reachable` 未解包 `open_connection` 的 (reader, writer) 元组。
- **PM 集成单点修改**：main.py 转 lifespan + 全局 RequestValidationError→VALIDATION 信封；pyproject 补 respx；远端 @playwright/test 安装 + 根 node_modules symlink（T 方案 b）。
- **SSH 隧道三连坑（PM 记录，供后续复用）**：pkill 自匹配杀 shell（用 `[x]` 正则技巧）；`ExitOnForwardFailure` 被配置里坏掉的 RemoteForward 15721 触发退出；`ClearAllForwardings=yes` 会清掉命令行自己的 `-L`。
- **响应式断链缺陷（M2 核心 bug）**：真实浏览器中流水线相位卡冻结。六轮探针定位：fetch 层 12 个 progress + 3MB complete 全到达 → store 状态正确（探针直读 pinia）→ 唯一 PipelineCard props 已是 done 但 DOM textContent 冻结。**根因**：`send()`/`retry()` 里 `const aMsg = newSkeletonMessage(); this.messages.push(aMsg)` 后闭包持有 **raw 对象**，所有 SSE 相位突变作用在 raw target 上——Pinia reactive 代理读值正确但**突变不触发渲染**，子组件因 props 引用相等被 Vue 跳过 patch。B2 的 vitest 只断言 store 状态未测真实渲染链，故未暴露。**修复**：三处 push 后改持 `this.messages[this.messages.length - 1]`（代理）。修复后 M2 验收 **12/12 全过**（相位推进 4 快照/47s、答案 690 字、来源、图谱、SQLite 刷新恢复、无 JS 错误）。
- **诊断探针存档**：`deploy/m2_probe{1..6}.js`（chunk 级/网络层/store 直读/组件 props/卡片枚举），保留备查。
## M3 功能面补齐（2026-08-25 深夜）
- **真实 KG 数据缺陷修复（PM）**：① 邻域 0 边——真实库边属性**无** `source_canonical_id/target_canonical_id`（端点在两端节点上），A3 组装代码从边读这两个键恒 None；改为 Cypher 投影时用 `startNode(r)/endNode(r)` 注入；② overview 0/0——1644 万边 COUNT 聚合冷缓存超过 10s 查询超时，新增 `OVERVIEW_QUERY_TIMEOUT=60s` 用于 overview 两查询；③ 自环边（真实库 `gene_structure` 等实体自身关系）在组装层过滤。验证：overview 200/200（gene 35 万）、邻域 21 节点 8 边 0 自环。
- **部署工具**：`deploy/bff_restart.sh`（setsid 脱离 SSH + `[u]` pkill 技巧，解决 SSH 后台挂起坑）。
- **M3 响应式接线修复（PM）**：① 平板档汉堡/工作台按钮不可见——responsive.css 规则写 `.top-bar.has-tools` 但该类挂在 `.app-shell` 上，选择器永不匹配；② 手机档工作台按钮开的是右抽屉而非全屏覆盖层——`openBench()` 未按 tier 分派；③ 覆盖层内两套 tab 条重复——隐藏 BenchPanel 内部那套保留外壳 tab 条（含关闭按钮）。
- **M3 验收 16/16 通过**：真实 KG（实体搜索/邻域图谱/抽取任务列表）、平板抽屉（打开/Esc 关闭）、手机档（底栏隐藏/覆盖层打开/tab 切换）、主题切换（浅色 canvas 精确 #F6F8FC）。三档视口截图存 `artifacts/m3/`。
## M4 测试轮次（2026-08-25 凌晨）
- **R1 全量结果**：L1+L2 后端 119/119（行覆盖 87% 达标）；L3+L4 前端 137/137（81.54% 达标）；L5 Playwright 三档 19 pass/17 fail/12 skip → 收敛 8 缺陷；L2s 上游 smoke 7/7；**FR 追溯主门禁 81/81 双向零失配**。
- **R1 缺陷 8 项已批量派发**：BUG-R1-07 Blocker（http.js 30s 读超时 < search 92s）→ B1；BUG-R1-01 Major（kg 搜索丢 q 参数）→ B1；BUG-R1-02/03/04/05/06 Major（会话高亮/删除死代码/QA 降级未禁用/错误信封误显示/markdown 零调用）→ B2；BUG-R1-08 Minor（health 索引误报）→ A3。
- **T 侧环境说明**：远端补装 pytest-cov；曾误 `--save-dev` 动 package.json 已还原（md5 一致）；证据归档 `~/5090/teamWorkspace/zh/r1_test_evidence/`。
- **R1 修复进展**：A3 已交付 BUG-R1-08（probe 列表全等比较误报索引缺失——真实实例另有 canonical_id 约束索引；改为成员判断 + 2 锁定单测，23/90 过，真实冒烟 detail:None）。B1 已交付 BUG-R1-01/07（http.js 默认超时 600s 覆盖 API.md 全表、get 增 query 序列化、FormData 走 multipart；32 测过；隧道实测 KG 搜索 17 条含 q 参数、search 47.7s 不自断）。B2 已交付 BUG-R1-02~06（selectSession 同步 activeId；SessionItem 删除按钮+右键+确认弹层 Teleport；ChatPanel 接 health store 降级禁用；err.code 优先映射 + errText 透传；qaToBlocks/_finalizeReveal 走 renderMarkdown；70 测过，全前端 156 测）。
- **R1 修复集成（PM）**：本地全量回归后端 121 测/前端 156 测全绿；mock 本地远端 md5 一致；BFF 重启后 health 无索引误报；R2 全量回归已派发 T。
- **R2 全量回归通过（T）**：后端 121/121、前端 156/156、Playwright 48 条（35 pass/12 skip 依赖充值/1 flake 复跑通过）、上游 smoke 7/7、行覆盖 87%/80.59%、FR 追溯 81/81。**R1 八缺陷全确认修复**（含 E2E-01 刷新恢复补验三档全通）。无新缺陷。唯一失败为环境性 flake（tablet 主流程 300s 超时，单独复跑 52.3s 通过，上游 QA 串行排队所致）。T 清理了全部测试污染会话数据。
- **M4 判定（PM）**：主/辅门禁全达标、产品用例全 pass → 按 TEST_PLAN 纪律收尾。收尾前采纳两处加固：① E2E 真实流超时 480s/终态等待 360s（T 测试代码）；② Vite 忽略 coverage 目录（测试期覆盖率文件触发 198 次页面重载，干扰 E2E 与浏览器访问）。
- **M5 最终验收通过（PM，2026-08-25）**：`deploy/m5_acceptance.js` 15/15 全过。生产形态打通（BFF 8090 单进程静态托管，修复 dist 路径解析：backend/frontend/dist → 项目根；sync 排除 dist 需单独同步）。真实 SQLite 历史恢复（相位卡 5/5、引用 chip 高亮定位）、真实问答全链路（答案 698 字 + 4 引用）、三档视口档位全正确。`docs/ACCEPTANCE.md` 归档。**项目收官**——遗留唯一外部依赖：DeepSeek 余额（充值即恢复，零代码改动）。
## DeepSeek 恢复与 QA 修复（2026-08-25 下午）
- **诊断**：用户充值后 QA 仍 402。实测三个 DeepSeek key：QA 旧 key（sk-9d70bc）与 PlantAI-rag key（sk-9de0a3）余额均不足；**PlantAI-dev 的 NEW_API_KEY（sk-9c0235）余额充足**。用户指示用该 key。
- **手工重启的弯路（PM 记录，教训）**：① 整行 shlex.quote 导致 source 时变量全失效；② 保留旧进程 CONDA_*/PATH 污染新 shell 致 conda activate 崩溃；③ source 缺 `set -a` 导致变量不 export 进 uvicorn；④ runtime env 文件缺 `V15_QDRANT_URL` 等进程内联覆盖项。最终用户提供官方管理脚本解决。
- **正确路径**：`~/5090/PlanAI-cooperate/RAG/rag-develop/start_plantAI_RAG.sh` 统一管理 QA(7920)/Neo4j(18788)/Qdrant(26333)/方法学(8000)/Ollama。换 key = 更新 `runtime/qa_v1_1_73.env`（已完成，备份 `.bak_oldkey`）+ 官方脚本 `start`。脚本显式 `QA_V1_LLM_MODEL=deepseek-chat`（flash 模型在新 key 下输出截断）、嵌入服务 `QA_V1_EMBED_URL=Ollama bge-m3`、BGE CUDA 等全套配置。
- **验证结果**：PlantAI-rag-new 问答——**自然语言答案 1379 字 + 15 条来源**（degraded_execution=False）；PlantAI-dev 知识问答——**success:True + 2671 字答案 + 14 来源**（需把 `QA_V1_1_73_TIMEOUT` 从 300 提到 600，完整链路实测 216~273s；已写入 .env 并重启 9011，备份 `.env.bak_qa_timeout`）。
- **PlantAI-dev 9011**：仍用手动方式重启（官方 manage_plantai.sh 默认管 9000 端口），`source .env` + `set -a` 后 uvicorn 拉起，已验证 env 含新超时与 7920 地址。
- **运维提示**：QA 服务重启一律走官方脚本 `bash start_plantAI_RAG.sh restart|start|verify`，不要手工起进程。
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# 发现报告 — PlantAI RAG BFF 上游探测
> 探测日期：2026-08-24 至 2026-08-25（远程机 `100.109.52.26`，SSH 用户 xzq）
> 本文件为团队事实基线。所有结构均来自真实探测响应或源码/OpenAPI，不是猜测。
> 未能确认的事项集中在第 6 节，明确标注，勿当作事实使用。
---
## 1. 摘要与关键结论
1. **Neo4j 选型：`neo4j-plant-srt-direct-v1-full`**（bolt `bolt://127.0.0.1:18788`，HTTP `http://127.0.0.1:18575`，db `neo4j`，用户 `neo4j`，密码 `<neo4j-password-in-.env>`）。
- 这是 QA 服务 7920 实际使用的实例（进程 `/proc/2586988/environ` 中 `NEO4J_URI=bolt://127.0.0.1:18788`），是权威答案。
- 该实例 schema 为 **canonical**（`QA_V1_GRAPH_SCHEMA=canonical`）：实体标签 `SRT2CanonicalEntity`（3,820,996 节点），断言标签 `SRT2CanonicalAssertion`（8,246,875），关系 `SRT2_CANONICAL_ASSERTS` / `SRT2_SUPPORTED_BY`（共 16,449,159 条边）。
- **任务书假设的 `:Entity` / `[:RELATION]` / `entity_name_ftx` 全文索引在本实例不存在**。名字检索走 `name_norm` RANGE 索引（`srt2_canonical_entity_name_norm`），实测 0.09–0.10s。全文检索需求用 `STARTS WITH`/`CONTAINS` + name_norm 索引即可。
2. **抽取接口 8000 可用**：`/health` 返回 `{"status":"healthy"}`。`extract-jobs` 有 49 个历史任务（22 completed / 27 failed）。状态枚举为 `queued → running → completed/failed`（stage 相应为 `queued → mineru → llm → completed/failed`）。**注意：`processing-status`、`progress`、`summary` 均返回 `{"rows":[]}`**（因为当前 `METHODOLOGY_BATCH_DIR` 默认指向 `methodology_batch_llm` 目录且该目录不存在，见第 6 节）。`run-log` 返回 JSON `{"text":""}`（不是纯文本）。
3. **QA 7920 检索接口正常**：search 返回 31 个顶层键（见第 4 节），一次检索耗时约 91.9s（其中 88.8s 是 native_graph_chain_retrieval）。**当前 LLM 余额不足（DeepSeek HTTP 402 Insufficient Balance）**，`degraded_execution=true`，所有 LLM 阶段走 deterministic recovery，`answer` 为空或为 fallback 文案。这影响 chat/stream 的最终答案质量，但不影响 retrieval-only search 的证据输出。
4. **SSE 阶段序列（有序，五阶段 UI 映射基准）**：
`understanding_started → entities_identified → related_search_started → concepts_found → subquestion_retrieved → agent_review_started → evidence_accepted → answer_generation_started → completed`，随后 `event: complete` + 完整 JSON（与 search 同构）。有 `: keepalive` 注释帧（实测 2 次）。
5. **端口 8090、5180 空闲**。node v18.19.1 / npm 9.2.0，`npm ping` 通（573ms），Playwright chromium 下载可行（约 150MB，未实际下载）。
6. **7900 是加密打包容器**（`plantai-protected-rag-1`，镜像 `plantai-rag-protected:1.0.0`），其 `/api/v1/kg/*` 路由指向空的 `plantai-protected-neo4j-1`（0 节点），kg/stats 全零、kg/query 空结果——**7900 的 kg 路由目前实质不可用**。其 methodology 路由可用但数据为空。
---
## 2. Neo4j 实例探测
### 2.1 对比表
| 属性 | `neo4j-plant-srt-pc2025-v3-20260817-normalized` | `neo4j-plant-srt-direct-v1-full` | `plantai-protected-neo4j-1` |
|---|---|---|---|
| bolt | 127.0.0.1:19788 | 127.0.0.1:18788 | 127.0.0.1:17687 |
| http | 127.0.0.1:19575 | 127.0.0.1:18575 | 127.0.0.1:17474 |
| 镜像 | neo4j:5.15.0-community | neo4j:5.15.0-community | neo4j:5.15.0-community |
| 用户名/密码 | neo4j / `<normalized-neo4j-password-in-.env>` | neo4j / `<neo4j-password-in-.env>`（容器 NEO4J_AUTH 原始值为 `password`，运行中已被改） | neo4j / `test1234` |
| 数据卷 | `/home/xzq/phase2b-5090-staging-20260823T191150Z/plant_srt_pc2025_merge_20260817_v3_normalized/databases/neo4j/data` | `/home/xzq/home/wutx/gene-family-mas-v2/data/neo4j_plant_srt_direct_v1_docker/data` | docker 匿名卷 `/var/lib/docker/volumes/68af.../` + `/home/xzq/5090/PlanAI-cooperate/hsj-workspace/encryption-test/.../service_data/neo4j` |
| heap 设置 | initial 16G / max 32G / pagecache 64G | initial 4G / max 12G / pagecache 24G | 无自定义（默认） |
| 标签 | `Entity`(6,316,654), `Paper`(96,648) | `SRT2CanonicalEntity`(3,820,996), `SRT2CanonicalAssertion`(8,246,875), `SRT2Paper`(31,207) | **空库（0 节点）** |
| 关系类型 | `ASSERTS`(12,963,472), `SUPPORTED_BY`(13,012,368) | `SRT2_CANONICAL_ASSERTS`, `SRT2_SUPPORTED_BY`（合计 16,449,159） | 无 |
| 名字索引 | 无 name_norm 索引（CONTAINS 全扫 0.19s；name_norm 等值 6.81s——**很慢**） | `srt2_canonical_entity_name_norm` RANGE 索引（等值 0.10s / 前缀 0.09s） | 无 |
| 全文索引 `entity_name_ftx` | **不存在** | **不存在** | 不存在 |
| QA 7920 是否使用 | 否 | **是（bolt://127.0.0.1:18788）** | 否 |
| 上游所属 | normalized 版（phase2b staging） | gene-family-mas-v2 直接版（QA 生产） | 加密保护产品线（空） |
### 2.2 节点与关系真实属性
**direct-v1-full（当选实例）**
- `SRT2CanonicalEntity` 节点属性：`entity_type`（gene/gene_family/phenotype/process/protein/experimental_material/method/compound/sequence_feature/genotype/trait/… 共 24+ 类）、`canonical_id`（`cent_*`）、`name`、`name_norm`（小写规范化）、`rule`（如 `exact_name_norm_same_type`、`alias_config_exact`）、`support_count`。
- `SRT2CanonicalAssertion` 节点属性（BFF 证据核心，样例见下）：
`assertion_id`(`cass_*`)、`source`、`source_type`、`source_canonical_id`、`target`、`target_type`、`target_canonical_id`、`relation_norm`、`relation_category`、`best_evidence`、`best_paper_id`、`best_score`、`support_count`、`paper_count`、`title`、`doi`、`pmid`、`publication_year`、`journal`。
- `SRT2_CANONICAL_ASSERTS` 关系属性：`assertion_id`、`best_score`、`relation_category`、`relation_norm`、`support_count`、`paper_count`。
- `SRT2_SUPPORTED_BY` 关系：**无属性**（`{}`）。
- `SRT2Paper` 节点属性：`paper_id`、`title`、`doi`、`pmid`、`journal`、`publication_year`、`metadata_lookup_status`、`metadata_sources`、`metadata_checked_at`。
- 数据库列表：仅 `neo4j`（默认库）+ `system`。
**normalized（备选实例）**
- `Entity`：`entity_type`、`name`、`name_norm`、`canonical_id`、`layer`。
- `ASSERTS` 关系属性：仅 `source_system`、`assertion_id`、`relation_category`、`relation_norm`、`layer`（**没有 evidence/pubmed/paper_id/confidence 等属性**，证据信息挂在 `SRT2CanonicalAssertion` 同构的节点/或需 join Paper 节点，未深挖）。
- `SUPPORTED_BY` 关系：`support_id`、`assertion_id`、`layer`。
> 任务书预期的 `evidence/section/pubmed_id/paper_id/confidence/claim_scope/output_layer` 属性在**两个实例的关系上都未出现**；这些字段实际出现在 QA 服务返回的 `sources[].raw` 里（QA 服务在应用层拼装），图库关系本身不携带。
### 2.3 选型理由（当选：`neo4j-plant-srt-direct-v1-full`）
1. **权威性**：QA 7920 服务（产生可用的图谱证据）的进程环境明确指向 `bolt://127.0.0.1:18788`（= direct-v1-full）。BFF 直接复用该实例能保证与 QA 检索结果一致。
2. **schema 匹配**：QA 服务的 Cypher（`direct_flow_retriever.py`、`graph_path_chain.py` 等）全部使用 `SRT2Canonical*` 标签，只存在于 direct 实例。
3. **检索性能**：名字检索走 `name_norm` RANGE 索引，等值 0.10s / 前缀 0.09s；canonical_id 一跳扩展 0.16s。normalized 实例无 name_norm 索引（等值 6.81s），不适合交互式 BFF。
4. **数据规模**：实体 382 万 + 断言 824 万 + 边 1644 万，远大于 protected（空）。
5. **normalized 不满足** `entity_name_ftx` 要求（两库都没有该索引）；`Entity` 标签虽存在且更大（631 万），但 QA 不用它，且其关系无证据属性。
**回退顺序**：① direct-v1-full（首选）→ ② normalized（`neo4j/<normalized-neo4j-password-in-.env>`，bolt 19788，schema 不同，需单独的 Cypher 适配层）→ ③ protected（空库，仅在需要读保护线数据时用，密码 `test1234`，bolt 17687）。
### 2.4 三条可用的 BFF Cypher（已对当选实例实测）
**(a) 实体名检索（精确 + 前缀，走 name_norm 索引）**
```cypher
MATCH (e:SRT2CanonicalEntity)
WHERE e.name_norm = $q_norm OR e.name_norm STARTS WITH $q_norm
RETURN e.canonical_id, e.name, e.entity_type, e.support_count
LIMIT 20
```
参数：`q_norm = toLower(用户输入)`。实测 0.09s。（模糊检索可加 `CONTAINS`，但注意 CONTAINS 不走索引；替代方案是先 `STARTS WITH` 取候选再应用层过滤。）
**(b) 获取单个实体属性**
```cypher
MATCH (e:SRT2CanonicalEntity {canonical_id: $canonical_id})
RETURN e {.*}
```
实测 0.10s（canonical_id 有唯一约束索引 `srt2_canonical_entity_id`）。名字定位：`MATCH (e:SRT2CanonicalEntity {name_norm: $name_norm}) RETURN e LIMIT 5`。
**(c) 有界邻域扩展（深度 N、节点/边上限，一跳实测 0.16s）**
```cypher
MATCH (s:SRT2CanonicalEntity {canonical_id: $seed_id})
OPTIONAL MATCH (s)-[r1:SRT2_CANONICAL_ASSERTS]-(n1:SRT2CanonicalEntity)
WITH s, r1, n1
ORDER BY coalesce(r1.paper_count,0) DESC, coalesce(r1.support_count,0) DESC
WITH s, collect(DISTINCT n1)[..$max_nodes] AS level1, collect(DISTINCT r1)[..$max_edges] AS edges1
OPTIONAL MATCH (n1)-[r2:SRT2_CANONICAL_ASSERTS]-(n2:SRT2CanonicalEntity)
WHERE n1 IN level1
WITH s, level1, edges1,
collect(DISTINCT n2)[..$max_nodes] AS level2,
collect(DISTINCT r2)[..$max_edges] AS edges2
RETURN s {.*} AS start,
[n IN (level1 + level2) | n {.*}] AS nodes,
[r IN (edges1 + edges2) | r {.*}] AS edges
```
要点：每跳分别 cap 并 `ORDER BY paper_count DESC` 优先取高质量边；`OPTIONAL MATCH` 保证孤立节点不丢；深度 >2 时按同模式追加。注意 `[...]` 截取语法在 cap 前的排序至关重要，否则超度节点（hub）会吃满预算。一跳带全属性实测 0.16s，两跳约 13s（可接受，但建议 BFF 先只做一跳 + 按需第二跳）。
---
## 3. 抽取接口真实结构（`http://127.0.0.1:8000`，fallback `7900`）
服务由 `/home/xzq/5090/PlantAI-rag/scripts/start_methodology_api_8000.sh` 启动：conda `gfpy312`，工作目录 `/home/xzq/5090/PlantAI-rag`，`uvicorn api.main:app --host 0.0.0.0 --port 8000`。启动脚本自带 health 检查和 PID 文件（`runtime/methodology_api/methodology_api_8000.pid`）。当前存活，**不要重启**。
### 3.1 `GET /api/v1/methodology/extract-jobs`（及 `?limit=N`）
响应形状：`{"jobs": [...], "count": N}`（`limit` 默认 50；`?limit=5` 会截断 jobs 数组，count 仍是截断后的条数）。item 字段（全部实测出现）：
| 字段 | 类型 | 说明/示例 |
|---|---|---|
| `job_id` | str | 12 位 hex，如 `2943168e9c48` |
| `status` | str | 枚举：`queued` / `running` / `completed` / `failed`（磁盘上 49 个任务只有 completed 22 + failed 27） |
| `stage` | str | 与 status 同步：`queued` / `mineru` / `llm` / `completed` / `failed` |
| `substage` | str | completed 时为 `done`，failed 时为 null |
| `message` | str | 中文进度描述 |
| `updated_at` | str | `2026-08-07T09:42:17`（无时区） |
| `paper_id` / `family` | str | 如 `demo_paper` / `""` |
| `source_filename` / `source_path` | str | 上传文件名与绝对路径 |
| `output_dir` / `batch_dir` | str | 结果目录 |
| `stage_count` / `species_count` / `figure_table_caption_count` / `figure_table_stage_count` | int | 提取统计 |
| `config_url` | str | `/api/v1/methodology/extract-jobs/{id}/bbav5-config` |
| `methodology_plan_url` | str | `/api/v1/methodology/extract-jobs/{id}/plan` |
| `methodology_sandbox_requested` | bool | |
| `methodology_sandbox_status` / `_dir` / `_registry` / `_collection` | str | 沙箱相关 |
### 3.2 `GET /api/v1/methodology/extract-jobs/{job_id}`
单个 job 的扁平 JSON（无包裹）：与列表 item 同字段 + 额外 `content_list`（mineru 结果路径）、`figure_table_files`（object，含 `figure_table_inventory`/`figure_table_inventory_csv`/`figure_table_audit`/`reproduction_plan_preview` 四个路径）、`figure_table_warning`、`figure_table_inventory_url`、`reproduction_plan_preview_url`、`log_path`（failed 时）。样例（`2943168e9c48`，已截断）：
```json
{"updated_at":"2026-08-07T09:42:17","job_id":"2943168e9c48","status":"completed","stage":"completed","substage":"done","message":"MinerU+LLM 方法学提取完成","source_path":"/home/xzq/5090/PlantAI-rag/data/evaluation/methodology_upload_jobs/2943168e9c48/upload/wang2019.pdf","content_list":".../mineru/wang2019/txt/wang2019_content_list.json","output_dir":".../methodology_batch_demo_paper_2943168e9c48","paper_id":"demo_paper","family":"","stage_count":6,"species_count":1,"figure_table_caption_count":9,"figure_table_stage_count":12,"figure_table_warning":"","figure_table_files":{...},"config_url":"...","methodology_plan_url":"...","figure_table_inventory_url":"...","reproduction_plan_preview_url":"..."}
```
未完成时（非 completed）访问 `bbav5-config`/`plan` 会返回 **409** + `{"detail":"Extraction job is not completed: ..."}`；job 不存在返回 404。
### 3.3 `GET /api/v1/methodology/extract-jobs/{job_id}/plan`
顶层：`plan_id`、`paper_id`、`gene_family`、`source_batch_dir`、`stages[]`。每个 stage 含：
`observation_id`、`literature_stage`（如 `gene_family_identification`）、`literature_tools[]`（`tool_name/version/role/url/parameters`）、`method_components[]`（`component_type/tool/tools/parameters/evidence_sentence`）、`literature_parameters[]`（`component_type/component_tool/parameter_name/parameter_value/parameter_type/evidence_sentence`）、`inputs[]`、更多字段被截断。这是执行计划的完整结构，BFF 的 plan 视图可直接透传。
### 3.4 `processing-status` / `progress` / `summary` / `run-log`
| 接口 | 实测响应 | Content-Type |
|---|---|---|
| `GET .../processing-status` | `{"rows":[]}` | JSON |
| `GET .../progress` | `{"rows":[]}` | JSON（正常时 rows 为 progress.jsonl 的逐行 JSON 对象） |
| `GET .../summary` | `{"rows":[]}` | JSON（rows 为 summary.csv 的 dict 行） |
| `GET .../run-log` | `{"text":""}` | JSON（**不是文本流**；text 内是日志文件原文） |
**空的原因是** `BATCH_DIR_NAME` 默认 `methodology_batch_llm`（目录不存在）。8000 进程环境里没有 `METHODOLOGY_BATCH_DIR` 覆盖。若 BFF 需要这些接口有数据，须用 `METHODOLOGY_BATCH_DIR=methodology_batch_demo_paper_*` 之类实际存在的目录重启服务——**此动作需团队决策，本探测未执行**。
### 3.5 `GET /api/v1/methodology/sandbox/example-batches`
```json
{"success":true,"sandbox_root":"/home/xzq/5090/PlantAI-rag/data/evaluation/methodology_qa_sandbox","batches":[{"name":"methodology_batch_Ft_spl","path":"/home/xzq/5090/PlantAI-rag/methodology_batch_Ft_spl","has_plan":false,"has_preview":false},{"name":"methodology_batch_pecan_spl",...},{"name":"methodology_batch_sunflowers_spl",...}]}
```
### 3.6 `POST /api/v1/methodology/extract-upload`（未实际上传，来源：OpenAPI + 源码）
multipart/form-data，**必填字段仅 `file`**：
| 字段 | 类型 | 默认 | 说明 |
|---|---|---|---|
| `file` | UploadFile | （必填） | PDF 或 `*_content_list.json` |
| `paper_id` | str(form) | `uploaded_paper` | 只保留 `[0-9A-Za-z._-]`，否则替换为 `_` |
| `family` | str(form) | `""` | |
| `output_name` | str(form) | `""` | 输出目录名基名，最终为 `{output_name}_{job_id}` |
| `llm_model` | str(form) | `deepseek-v4-flash` | |
| `llm_request_timeout` | int(form) | `75` | 秒 |
| `sandbox` | bool(form) | `false` | |
| `sandbox_run_id` | str(form) | `""` | |
成功响应：`{"success": true, "job_id": "<12hex>", "status_url": "/api/v1/methodology/extract-jobs/<job_id>"}`。任务在 FastAPI BackgroundTasks 中异步执行；状态流转：`queued` →（MinerU）`running/stage=mineru` →（LLM 提取）`running/stage=llm` → `completed`（含 `config_url`/`methodology_plan_url`/统计字段/沙箱字段）或 `failed`（`message` 为异常文本，含 `log_path`）。失败样例原因：MinerU 路径不存在（`/home/xia-lab/miniconda3/envs/minerupy311/bin/mineru`）——历史 27 个 failed 任务多为这种环境问题。
### 3.7 7900 上的同构接口
7900（容器 `plantai-protected-rag-1`）暴露同样的 `/api/v1/methodology/*` 路由（51 条路径，`extract-upload`/`extract-jobs` 均存在），但 `extract-jobs` 返回 `{"jobs":[],"count":0}`（容器内数据目录独立）。另有 `/api/v1/kg/*`（stats/families/species/query/search）指向空 Neo4j，**全部为空结果**，BFF 不应依赖 7900 的 kg 路由。源码在容器内是编译过的 `.so`（`api/kg_routes.cpython-311-x86_64-linux-gnu.so`），无法读源码，以 OpenAPI + 实测为准。
---
## 4. QA 服务响应结构（`http://127.0.0.1:7920`）
服务：`uvicorn scripts.qa_v1_1_73_server:app`，app-dir `/home/xzq/5090/PlanAI-cooperate/RAG/rag-qa-v1_1_73`，conda `gfpy312`，版本 `1.1.73-assertion-anchored`。启动脚本：`docs/legacy_startup_scripts/start_qa_v1_1_73_*.sh`（注意 legacy 脚本里写的 NEO4J_URI 是 17687，**与运行中进程的 18788 不一致**，以进程环境为准）。LLM：`https://api.deepseek.com` + `deepseek-v4-flash`，**当前 402 Insufficient Balance**。
### 4.1 `POST /api/v1/qa-v1-1-73/search`（实测 2026-08-25，1.78MB 响应，329 sources）
**顶层键完整清单（31 个）**：
| 键 | 类型 | 说明 |
|---|---|---|
| `success` | bool | true |
| `version` | str | `"1.1.73"` |
| `query_id` | str | `"20260825_000715_49f801a9"` |
| `question` | str | 原问题 |
| `answer` | str | retrieval-only 时为空串 |
| `citation_validation` | dict | `{valid, cited_pmids[], unknown_pmids[]}` |
| `sources` | list[329] | 证据条目（见下） |
| `source_count` | int | 329 |
| `evidence_chain_top30` | list[30] | 与 sources 同构（top30 精选） |
| `provisional_answer` | str | 空 |
| `retrieval_hypothesis` | dict | `{question_type, direct_question_entities[], hypothesized_entities[], relation_intents[], concept_queries[], answer_slots[], atomic_claims[], negative_constraints[], parse_status}` |
| `query_plan` | dict | `{queries{}, alias_audit{}, agentic_plan{14}, retrieval_options{29}}` |
| `retrieval_audit` | dict | `{qdrant[], seed_extraction{}, neo4j[], dedup{}, options{}, neo4j_status:"enabled", bounded_graph_backend{12}, public_citation_filter{}}` |
| `graph_evidence_quota_audit` | dict | `{policy, top_k_for_llm, graph_min_requested, graph_candidates_available, non_graph_candidates_available, graph_selected, non_graph_selected, graph_quota_satisfied, note}` |
| `graph_knowledge_chains` | dict | `{mode:"neo4j_native_path", chain_policy, chains[305], chain_count, audit{35}, summary{note, used_for_answer_generation}}` |
| `native_graph_chains` | list[305] | 图链（见下） |
| `native_graph_chain_audit` | dict | 35 个审计键（enabled/chain_source/max_hops/beam_width/top_k_chains/seed_ids/…） |
| `assertion_anchored_graph_chains` | list | 本次为 `[]` |
| `assertion_anchored_graph_audit` | dict | `{enabled, status, error, fallback_required, hop_policy}` |
| `endpoint_path_audit` | dict | `{enabled:false, status:"not_attempted", fallback_to_native_seed_expansion:false}` |
| `native_seed_policy_audit` | dict | 20 键（policy/seed_top_k_after_bge/canonical_ids/names/…） |
| `agentic_controller_audit` | dict | `{enabled, status, strict_review_accepted, fallback_reason, attempt_count, replan_count, attempts[], final_plan{}}` |
| `agentic_review` | dict | `{decision, accepted_evidence_ids[], accepted_chain_ids[], problems[], final_handoff, strict_review_decision, review_fallback_used, fallback_reason}` |
| `question_decomposition` | dict | search 时为 `{}` |
| `runtime_recovery_audit` | list | 每次 LLM 失败一条：`{stage, mode, degraded:true, error}` |
| `degraded_execution` | bool | **true**（LLM 402） |
| `subquestion_evidence_groups` | list | `[]`（search 时） |
| `subquestion_retrieval_audit` | list | `[]` |
| `cluster_audit` | list[106] | `{cluster_id, cluster_key[], representative_assertion_id, representative_srt{source,relation,target}, member_count, member_assertion_ids[], member_paper_ids[], ...}` |
| `rerank_audit` | list[80] | `{rank, evidence_id, source, relation, target, rrf_score, bge_score, final_score}` |
| `timings` | dict | 秒，float：`{provisional_answer, structured_planner, question_decomposition, agentic_retrieval_plan, retrieval, cluster_bge_rerank_and_select, native_graph_chain_retrieval, final_answer, total}`（本次 total 91.9s） |
| `flow` | list[17] | 管道阶段名有序列表 |
**一条 `sources[]` 的全字段（26 个键，S1 实例）**：
| 键 | 类型 | 示例值 |
|---|---|---|
| `evidence_id` | str | `"S1"` |
| `kb` | str | `"V16/V15"` |
| `source` | str | `"SPL gene family"` |
| `relation` | str | `"characterized_in"` |
| `target` | str | `"Oryza sativa"` |
| `evidence` | str | markdown 段落（`## Phylogenetic analysis of the PeSPL genes ...`，可长） |
| `paper_id` | str | `"PMC5488377_12864_2017_Article_3882"` |
| `title` | str | 论文标题 |
| `pmid` | str | `"28655295"` |
| `pmcid` | str | `"PMC5488377"` |
| `doi` | str | `"10.1186/s12864-017-3882-4"` |
| `species` | str | 常为空串 |
| `section` | str | 常为空串 |
| `output_layer` | str | `"main_kg"` |
| `claim_scope` | str | 常为空串 |
| `relation_id` | str | `"cass_d12f62f9abffbd903b97"`（= assertion_id） |
| `retrieval_methods` | list[str] | `["qdrant_vector"]` |
| `retrieval_queries` | list[str] | 3 条查询串 |
| `vector_score` | float | 0.714 |
| `rrf_score` | float | 1.114 |
| `rerank_score` | float | 0.989 |
| `final_score` | float | 0.982 |
| `cluster_id` | str | `"clu_0f8da21642adc4f0"` |
| `cluster_member_count` | int | 3 |
| `cluster_member_assertion_ids` | list[str] | 3 个 cass_* |
| `cluster_member_paper_ids` | list[str] | 2 个 |
| `cluster_member_pmids` | list[str] | 1 个 |
| `raw` | dict | 28 键，完整断言原样：`kb_version, source_system, assertion_id, relation_id, source, source_type, source_canonical_id, relation, relation_norm, relation_category, target, target_type, target_canonical_id, evidence, best_evidence, paper_id, best_paper_id, support_count, paper_count, quality_score, best_score, embedding_text, cluster_id, cluster_key[], cluster_member_assertion_ids[], cluster_member_count, cluster_member_paper_ids[], cluster_member_pmids[]` |
**`native_graph_chains[]` item**：`{chain_id:"G1", chain_source:"neo4j_native_path", hop_count:3, path_score:0.861, start:"SPL gene", end:"18 SPL genes in rice", bridge_entities[], hops[], score_breakdown{22}}`。
**hop**：`{hop_index, from_id, from_name, to_id, to_name, source, relation, target, source_canonical_id, target_canonical_id, source_type, target_type, relation_category, assertion_id, paper_id, title, pmid, pmcid, doi, species, evidence, support_count, paper_count, best_score, edge_score, score_breakdown, passive_relation, structural_direction, semantic_direction}`。
### 4.2 `POST /api/v1/qa-v1-1-73/chat/stream` SSE 实测
帧格式：`event: <name>` + `data: <JSON>` 两行一组，空行分隔；期间有 `: keepalive` 注释帧（实测 2 次）。
**有序 stage 序列（data.stage，五阶段 UI 映射基准）**：
1. `understanding_started` — details `{}`
2. `entities_identified` — details `{entities:["SPL gene family"], question_type:"raw_question"}`
3. `related_search_started` — details `{}`
4. `concepts_found` — details `{concepts[], concept_count:250, connection_count:335, publication_count:109, candidate_count:328}`
5. `subquestion_retrieved` — details `{subquestion_id:"Q0", attempt:1, candidate_count:30, connection_count:305}`
6. `agent_review_started` — details `{attempt:1}`
7. `evidence_accepted` — details `{concepts[], concept_count, connection_count, publication_count, accepted_count:30}`
8. `answer_generation_started` — details `{}`
9. `completed` — details `{elapsed_seconds:38.357}`
**终端帧**：`event: complete` + `data: <完整 JSON>`（与 search 响应同构，约 2.37MB；顶层键同 search 但 `citation_validation` 12 键、`sources` 仅 4 条、`timings` 10 键、`question_decomposition` 13 键、`subquestion_evidence_groups` 1 项、`agentic_controller_audit` 12 键、`agentic_review` 7 键）。**LLM 402 影响**：`answer` 为 fallback 文案 `"The retrieval pipeline completed. The answer model did not return usable text; the most relevant retrieved evidence facts are: - SPL gene family has domain SBP box [PMID: 33234605] ..."`（事实列表而非自然语言答案），`degraded_execution=true`，`runtime_recovery_audit` 4 条 LLM 失败记录。全流程耗时约 37–38s（不带 keepalive 间隙）。
**health**：`/api/v1/qa-v1-1-73/health` → `{"status":"ok","service":"qa_v1_1_73","version":"1.1.73-assertion-anchored"}`。
**info**：返回服务名、管道描述、config（alias_path/taxonomy_path/reranker 模型路径/knowledge_chain_defaults 等）。
其他路由：`/chat`（非流式）、`/search`。
---
## 5. 环境与启动脚本
### 5.1 `/home/xzq/5090/PlantAI-rag/scripts/` 清单（15 个）
| 脚本 | 用途（据头部注释/内容） |
|---|---|
| `download_marker_models.sh` | 手动下载 marker-pdf 模型（解决自动下载中断） |
| `organize_project.sh` | gene-family-mas-v2 项目文件整理（建目录结构） |
| `process_all_pdfs.sh` | 批量处理 `gfpaper` 目录 PDF |
| `process_by_inode_shell.sh` | 用 inode 处理乱码文件名 PDF → rag_index_v3 |
| `process_failed_by_inode.sh` | 用 inode 重处理 failed_to_process 目录 → rag_index_v4 |
| `run_v15_3_4_q1_5papers_smoke_20260604.sh` | V15.3.4 Q1 5 篇论文冒烟测试（gfpy312） |
| `run_v15_3_4_q1_remaining_500_20260604.sh` | V15.3.4 Q1 剩余 500 篇批量（加载 .env.v15_deepseek） |
| `run_v16_rerun6_20260625.sh` | V16 batch10 重跑 6（/data/gene-family-mas-v2） |
| `start_dual_kb_qa_api_7902.sh` | 双 KB QA API 7902（/data/gene-family-mas-v2） |
| `start_dual_kb_qa_api_8000.sh` | **历史名**；实际启动 `combined_qa_lightrag_keyword_server` 于 **7905**（V15+PC Qdrant 检索） |
| `start_methodology_api_8000.sh` | **当前 8000 的启动脚本**（见 5.2） |
| `start_mineru_api_50215_20260605.sh` | MinerU API 50215 |
| `start_qa_v1_0_0_7908.sh` | QA v1.0.0 7908 |
| `start_taxonomy_bge_unified_7907.sh` | taxonomy+BGE 统一服务 7907 |
| `start-webui.sh` | WebUI（端口 8787，state 在 ~/.hermes/webui-mas-v2） |
### 5.2 三个上游服务
| 服务 | 端口 | 启动方式 | conda / 工作目录 | 重启安全性 |
|---|---|---|---|---|
| QA v1.1.73（graph QA） | 7920 | `python -m uvicorn scripts.qa_v1_1_73_server:app --app-dir /home/xzq/5090/PlanAI-cooperate/RAG/rag-qa-v1_1_73 --host 127.0.0.1 --port 7920`（PID 2586988，父进程 1 = 守护化；legacy 脚本在 `rag-qa-v1_1_73/docs/legacy_startup_scripts/`，其硬编码 URI 17687 已过时，**不能照抄**） | `gfpy312`；环境来自 `RAG/runtime/qa_v1_1_73.env` + 进程内联 env（`NEO4J_URI=bolt://127.0.0.1:18788`、`NEO4J_PASSWORD=<neo4j-password-in-.env>`、`V15_QDRANT_URL=http://127.0.0.1:26333`、collection `plant_srt_direct_v1_bge_m3_20260702`） | 正在服务流量，**未验证重启安全性**；重启前需确认无长任务依赖（LLM 目前 402 已降级，重启不影响数据） |
| Methodology API | 8000 | `/home/xzq/5090/PlantAI-rag/scripts/start_methodology_api_8000.sh`（脚本自带 health 检查 + 幂等启动，health 通过则直接退出） | `gfpy312`；工作目录 `/home/xzq/5090/PlantAI-rag`；日志 `runtime/methodology_api/methodology_api_8000.log` | 脚本幂等、支持 `METHODOLOGY_API_PORT`/`METHODOLOGY_BATCH_DIR` 覆盖；停止后重跑脚本即可。**当前别重启**（本探测依赖其持续在线） |
| Protected RAG | 7900 | Docker 容器 `plantai-protected-rag-1`（镜像 `plantai-rag-protected:1.0.0`，compose：`hsj-workspace/encryption-test/server/protected_docker_packager/docker-compose.yml`），同一 compose 栈含 web/workers/redis/qdrant/neo4j 等 8+ 容器 | 容器内 `python -m uvicorn api.app:app`（2 workers），`NEO4J_URI=bolt://neo4j:7687`（compose 内部） | 容器健康检查通过；其 kg 路由数据为空（protected Neo4j 空库），**BFF 不应依赖** |
### 5.3 其他环境事实
- 端口 8090、5180：`ss -tln` 无监听 → **空闲可用**。
- `node -v` = v18.19.1，`npm -v` = 9.2.0；`npm ping` PONG 573ms → Playwright chromium 下载可行（约 150MB，未实际执行）。
- Qdrant 端口映射：QA 用 `qdrant-qa-v1-1-73-full` 26333；normalized 用 `qdrant-plant-srt-pc2025-v3-20260817-normalized` 27333；protected 用 `plantai-protected-qdrant-1` 16333。
- 全部 docker 容器（13 个）状态 Up，无异常退出。
---
## 6. 遗留问题与风险
1. **QA LLM 余额不足（最重要风险）**：DeepSeek API 402 Insufficient Balance。所有 LLM 阶段（planner/agentic/review/answer）降级为 deterministic recovery。**chat/stream 目前无法产出自然语言答案**（只有证据列表 fallback），BFF 五阶段 UI 中"答案生成"阶段会看到降级行为。充值时注意：`QA_V1_LLM_BASE_URL=https://api.deepseek.com`，`QA_V1_LLM_MODEL=deepseek-v4-flash`、`QA_V1_FINAL_LLM_MODEL=deepseek-v4-flash`、`QA_V1_LLM_MODEL`(实际 env) = `deepseek-chat` 并存（进程 env 与 runtime env 文件略有差异，未确认哪行最终生效）。
2. **`entity_name_ftx` 全文索引不存在于任何实例**。若 BFF 必须全文检索，需要团队决策是否创建（会修改共享实例的 schema——本探测未创建任何东西）。
3. **normalized 实例名字检索慢**（name_norm 无索引，等值 6.81s）：若团队将来切到 normalized（`Entity` 标签 631 万），需要先建索引。
4. **methodology `processing-status`/`progress`/`summary`/`run-log` 当前空数据**：原因是 `METHODOLOGY_BATCH_DIR` 指向不存在的 `methodology_batch_llm` 目录（默认值）。未确认哪个目录名才是"有数据"的正确批次目录（历史任务输出在 `data/evaluation/0505/methodology_batch_demo_paper_*`）。需要读有数据的目录必须重启 8000 并设 env——未执行。
5. **QA 7920 的正式启动脚本未找到**：只有 legacy 脚本且其中 NEO4J_URI（17687）与运行中进程（18788）矛盾。进程由谁、以何完整 env 启动，未确认。以 `/proc/2586988/environ` 实测为准。
6. **failed 任务（27 个）失败原因**：主要是 MinerU 二进制路径不存在（`/home/xia-lab/miniconda3/envs/minerupy311/bin/mineru`）。上传新 PDF 是否会再次失败取决于 MinerU 环境是否修复——**未测试实际上传**（按任务要求未执行）。
7. **7900 的 kg 路由源码不可读**（编译 .so），其 schema 以 OpenAPI + 实测为准；kg 数据为空的原因是 protected Neo4j 空库，后续若保护线灌库，kg 路由可能恢复。
8. **一次 search 约 92s**（88.8s 在 native_graph_chain_retrieval），stream 约 37s。BFF 需要长超时（>120s）和进度展示；未做并发压测。
9. **`SSH_CONNECTION` 显示会话来自 192.168.0.142 → 192.168.0.175**：远程机在 192.168.0.175（通过 Tailscale IP 100.109.52.26 可达）。BFF 若部署在远程机上，绑定 127.0.0.1 的端口只能本机访问——BFF 与本机服务同机部署即可；跨机需要另开隧道，未做。
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# PRD.md —— PlantAI-rag-new 产品需求文档
> 版本 1.0 ｜ 作者 PM ｜ 本文件由 PM 独占写入，所有开发/测试 agent **只读**
>
> **本文件是全项目需求的唯一来源。** 开发 agent 按此实现，测试 agent 按此写用例。
> 每个功能点有唯一编号 `FR-<模块>-<序号>`，测试用例必须在追溯矩阵中与之一一对应。
> 需求有歧义时，向 PM 提出，**不要自行解释**。
---
## 0. 产品定位
面向植物生物信息学研究者的**文献知识问答工作台**。用户提出关于植物基因家族的科学问题，系统从已构建的文献知识库（约 100 篇论文、44,595 条关系断言）中检索证据，生成有引用锚定的答案，并展示完整的检索过程、证据来源与知识图谱。同时提供论文抽取任务的管理入口。
**使用场景**：桌面深度研究为主，**手机端随时查询为重要补充**（实验室、会议、田间）。
**不做什么**：不做多轮对话记忆（上游 `max_rounds:1`，每次提问独立检索）；不做文献全文阅读器；不做基因家族分析流程执行（那是 PlantAI-dev 的职责）。
---
## 1. 术语表
| 术语 | 含义 |
|---|---|
| 会话 Session | 一组问答的容器，有标题、状态、时间。**注意：会话是组织单位，不是上下文单位**——同一会话内的多次提问互相独立 |
| 消息 Message | 会话内的一条记录，`role` 为 `user` 或 `assistant` |
| 块 Block | 助手消息的内容单元，判别式联合类型（text/table/code/stream/pipeline/tool/sources/graph） |
| 来源 Source | 一条支撑答案的文献证据，含标题、片段、分数、PMID/DOI 等 |
| 证据链 Chain | 知识图谱上的一条多跳推理路径，由若干 hop 组成 |
| 阶段 Stage | 上游 QA 服务推送的细粒度检索步骤（十余个） |
| 相位 Phase | 前端展示用的五阶段归并（规划/检索/证据/生成/完成） |
| 上游 Upstream | 现有的三个后端服务：QA(7920)、抽取(8000/7900)、Neo4j |
| BFF | 本项目的适配层后端，前端唯一直连对象 |
---
## 2. 全局约定
### 2.1 状态枚举
**会话状态** `idle | running | done | error`
- `idle` 排队中/新建未提问 —— 空心点，ink-subtle
- `running` 有进行中的问答 —— 青色 `#00D4FF` 脉冲点
- `done` 最近一次问答成功 —— success `#2ED3A0` 实心点
- `error` 最近一次问答失败或中断 —— error `#FF5C7A` 实心点
**消息状态** `streaming | done | error`
**相位状态** `waiting | running | done`（对应字形 ◌ / ● / ✓）
### 2.2 错误处理原则
- BFF 一切错误返回统一信封 `{"ok":false,"error":{"code","message","degraded"}}`，HTTP 状态码语义正确。
- 前端**不显示原始异常堆栈**，显示 `error.message` 的中文可读文案。
- `degraded:true` 表示「上游不可用」而非「请求有误」，UI 用降级提示（横幅/离线态）而非错误弹窗。
- **失败必须可见**：任何静默吞掉错误的实现视为缺陷。
### 2.3 文案约定
用户可见文案统一走 `src/i18n/labels.js`。例外：后端返回的 `error.message` 直接展示（后端已中文化）。
### 2.4 数据不伪造原则
UI 只展示后端真实返回的数据。**禁止**：占位假数据流入生产路径、把空结果渲染成看起来有内容的样子、用动画暗示实际不存在的流式过程（客户端揭示动画是明示的视觉设计，允许，但不得声称是 token 流）。
---
## 3. 模块与编号
| 模块 | 前缀 | 范围 |
|---|---|---|
| 应用外壳 | `FR-SHELL` | 三栏布局、顶栏、状态栏、折叠、背景 |
| 主题与无障碍 | `FR-THEME` | 深浅主题、动效降级、焦点、对比度 |
| 会话管理 | `FR-SESSION` | 列表、分组、增删改查、搜索 |
| 对话与问答 | `FR-CHAT` | 消息渲染、作曲器、流式、流水线、持久化 |
| 检索过程 | `FR-RETRIEVAL` | 工作台 Tab1 |
| 文献来源 | `FR-SOURCE` | 工作台 Tab2 |
| 提取任务 | `FR-EXTRACT` | 工作台 Tab3 |
| 知识图谱 | `FR-KG` | 工作台 Tab4 |
| 响应式 | `FR-RESP` | 四档断点与移动端专项 |
| 健康与降级 | `FR-HEALTH` | 上游探活与降级行为 |
---
## 4. FR-SHELL 应用外壳
| 编号 | 功能点 | 业务逻辑与边界 | 验收要点 |
|---|---|---|---|
| **FR-SHELL-001** | 桌面三栏网格 | `grid-template-columns: 260px minmax(0,1fr) 380px`；`grid-template-rows: 48px minmax(0,1fr) 28px`；区域 `"top top top" / "side chat bench" / "status status status"`。页面本身不滚动（`body{overflow:hidden}`），滚动发生在各栏内部 | 1440×900 下三栏宽度精确；缩放窗口不出现横向滚动条 |
| **FR-SHELL-002** | 顶栏 | 高 48px。左：9px 渐变发光圆点 + 「海古纪 PlantAI」渐变文字（`background-clip:text`）。中：当前会话标题（超长省略）+ 状态徽章。右：主题切换按钮。背景 `color-mix(in srgb, var(--pa-canvas) 88%, transparent)` + `backdrop-filter: blur(14px)`，底部 1px hairline | 无会话时中部显示「就绪」徽章；标题超长省略而非换行 |
| **FR-SHELL-003** | 底部状态栏 | 高 28px。左：4 个 7px agent 状态点（规划/检索/证据/生成），与流水线相位联动。右：`PlantAI RAG v0.1` + mono 的 QA 版本号 + 会话数 + 上游健康标记 | 问答进行中四点按相位依次点亮；QA 版本号来自 `/api/qa/info` |
| **FR-SHELL-004** | 左栏折叠 | 折叠后宽 64px 图标轨，显示 3 个 34×34 图标按钮（会话/图谱/设置），当前项左侧 2px 渐变竖条。折叠状态写入 localStorage `pa-side-collapsed` | 折叠/展开过渡 300ms `ease-out`；刷新后保持 |
| **FR-SHELL-005** | 右栏折叠 | 折叠后保留 28px 手柄条（**折叠 ≠ 隐藏**），点击手柄重新展开。状态写入 localStorage `pa-bench-collapsed` | 折叠后手柄可见可点；刷新后保持 |
| **FR-SHELL-006** | Aurora 背景 | 固定层，`z-index:0`，`pointer-events:none`。两个 560/620px 渐变光斑，`blur(120px)`，`aurora-drift` 16s 往复；叠加 48px 点阵，顶部渐隐遮罩。浅色主题下 `--pa-aurora-opacity:.08` | 不遮挡任何交互；浅色下明显衰减 |
| **FR-SHELL-007** | 首屏初始化 | 顺序：读 localStorage 主题并写 `documentElement.dataset.theme`（**必须在挂载前**，避免闪白）→ 挂载应用 → 并行请求会话列表与 `/api/health`、`/api/qa/info` → 无会话则显示欢迎空态 | 深色主题下刷新无白屏闪烁；接口失败不阻塞渲染 |
---
## 5. FR-THEME 主题与无障碍
| 编号 | 功能点 | 业务逻辑与边界 | 验收要点 |
|---|---|---|---|
| **FR-THEME-001** | 双主题等价 | 深色为默认。浅色**不是降级稿**，是同一套语义的另一组令牌值。所有组件必须在两套主题下都正确 | 逐组件走查两套主题无失色、无对比度不足 |
| **FR-THEME-002** | 切换与持久化 | 顶栏按钮切换，写 `localStorage['pa-theme']`，同步 `documentElement.dataset.theme`。图标日/月互换并 rotate 180°（400ms） | 切换即时生效；刷新保持 |
| **FR-THEME-003** | 浅色 glow 衰减 | 浅色下所有辉光乘 `--pa-glow-opacity:.35`——浅底上不衰减会糊 | 浅色下按钮悬停辉光明显弱于深色 |
| **FR-THEME-004** | 动效降级 | `@media (prefers-reduced-motion: reduce)` 下关闭全部 animation/transition；状态改由静态符号表达（实心/空心/✓/✕），不依赖运动传达信息 | 开启系统「减少动态效果」后无任何动画，且状态仍可辨认 |
| **FR-THEME-005** | 焦点与键盘 | `:focus-visible` 输出 2px `rgba(94,106,210,.5)` 焦点环，offset 1px。所有交互元素键盘可达，Tab 顺序符合视觉顺序 | 纯键盘可完成：新建会话→输入→发送→切换 tab |
| **FR-THEME-006** | 对比度 | 深色 ink/canvas ≈15:1，ink-muted/canvas ≥4.5:1；浅色同标准 | 抽检主要文本对比度达标 |
---
## 6. FR-SESSION 会话管理
| 编号 | 功能点 | 业务逻辑与边界 | 验收要点 |
|---|---|---|---|
| **FR-SESSION-001** | 列表与分组 | 按 `updated_at` 倒序，分「今天 / 昨天 / 更早」三组，组标签 11px/500/字距0.6px。空列表显示引导文案 | 跨零点后分组正确迁移 |
| **FR-SESSION-002** | 状态点四态 | 见 §2.1。`running` 脉冲动画，其余静态 | 四种状态视觉可区分，且不仅靠颜色（形状：空心/实心 + 动/静） |
| **FR-SESSION-003** | 新建会话 | 顶部渐变按钮（40px 高）。行为：调 `POST /api/sessions` 创建 → 切为活动会话 → 对话区显示欢迎空态。**不预先落一条空消息** | 连点两次产生两个独立会话，不重复 |
| **FR-SESSION-004** | 选择与加载 | 点击会话 → `GET /api/sessions/{id}` 拉取消息 → 渲染历史。加载中显示骨架屏。切换会话时若有进行中的流，**中断该流**并把原会话置 `error`（标注「已中断」） | 历史消息含表格/图谱块能正确重渲染 |
| **FR-SESSION-005** | 搜索过滤 | 搜索框对 `title` 做不区分大小写的子串匹配，实时过滤（前端过滤，不发请求）。无匹配显示「无匹配会话」 | 输入中文/英文均可过滤；清空恢复全量 |
| **FR-SESSION-006** | 重命名 | 双击标题或右键菜单进入编辑，回车提交 `PATCH /api/sessions/{id}`，Esc 取消。空标题不允许提交 | 重命名后列表与顶栏标题同步更新 |
| **FR-SESSION-007** | 删除 | 需二次确认。确认后 `DELETE /api/sessions/{id}`（级联删消息）。若删的是当前会话，切到列表中最新一个；列表空则显示欢迎空态 | 删除后刷新不再出现；消息一并清除 |
| **FR-SESSION-008** | 标题自动生成 | 新会话首次提问后，用问题前 30 字符（超出加省略号）作为标题，调 `PATCH` 落库。用户手动改过标题的会话（`meta.title_manual=true`）不再自动覆盖 | 首问后标题自动变化；手动改名后再提问不被覆盖 |
| **FR-SESSION-009** | 活动态高亮 | 左侧 2px 渐变竖条 + `color-mix(in srgb, var(--pa-g-to) 8%, transparent)` 底 + 22% 内描边 | 活动项一眼可辨，与悬停态区分 |
---
## 7. FR-CHAT 对话与问答（核心模块）
### 7.1 基础渲染
| 编号 | 功能点 | 业务逻辑与边界 | 验收要点 |
|---|---|---|---|
| **FR-CHAT-001** | 欢迎空态 | 消息为空时显示：46px 渐变菱形（✧）+ 渐变标题「海古纪 PlantAI 知识工作台」+ 副标题 + **3 张建议卡**（示例问题）。点击建议卡直接以该文本提问 | 卡片悬停上浮 2px + 青色微光；点击即发起真实提问 |
| **FR-CHAT-002** | 用户消息 | 右对齐，最大宽 70%，渐变底（深色 `135deg,#2A2A3E,#1C1C2A`；浅色 `#E8ECFF,#F4FBFF`）+ hairline-strong 边，r12，padding 10/15px | 长文本正确换行不溢出 |
| **FR-CHAT-003** | 助手消息 | **无底色全文**（Linear 式），左缘 2px 透明竖线悬停变渐变。头部：24px 渐变头像（✦）+ 「PlantAI 智能体」+ 时间。内容按块联合顺序渲染 | 多块混排顺序正确 |
| **FR-CHAT-004** | Markdown 渲染 | `markdown-it` 解析 → DOMPurify 消毒 → `v-html`。表格加 `md-table` 类：thead 用 2px 渐变下边框，数据格 mono（表头为「说明」的列除外，保持比例字体）；代码块 code-bg + hairline + mono 12.5px | LLM 输出的表格/列表/加粗正确渲染；**注入脚本被消毒** |
| **FR-CHAT-014** | 自动滚动 | 新消息或流式更新时滚到底。**例外**：用户手动向上滚动后暂停自动滚动，并显示「回到最新」按钮；点击或用户滚回底部后恢复 | 阅读历史时不被强制拽到底 |
| **FR-CHAT-015** | 内联引用 | 答案文本中的引用标记渲染为可点 chip，点击滚动定位到工作台「文献来源」中对应条目并高亮 2s | 引用 chip 与来源列表编号一致 |
### 7.2 作曲器
| 编号 | 功能点 | 业务逻辑与边界 | 验收要点 |
|---|---|---|---|
| **FR-CHAT-005** | 输入框 | r16 surface-1 卡片，`:focus-within` 渐变描边 + 青色辉光。textarea 无边框透明，14px/1.6，min-height 46px，**max-height 160px 后内部滚动**。占位符提示示例问题 | 多行输入自动增高至上限后滚动 |
| **FR-CHAT-006** | 三种模式 | pill 切换，参数集定义在 `config/modes.js`：<br>**问答** `{use_llm:true}` → `/api/qa/chat/stream`<br>**方案** `{use_llm:true, native_chain_enabled:true, native_chain_max_hops:3, native_chain_top_k:5}` → 同上，深证据链<br>**检索** `{use_llm:false}` → `/api/qa/search`，只出来源不出答案<br>激活态渐变底 + 白字 + 青光 | 三种模式发出的请求体字段正确；检索模式不产生答案块 |
| **FR-CHAT-007** | 发送与快捷键 | `Enter` 换行，`⌘/Ctrl+Enter` 发送。发送按钮渐变 pill，空输入或忙碌时 `disabled`（opacity .45）。底部提示文案说明快捷键 | 快捷键在中英文输入法下均生效；空输入不可发送 |
| **FR-CHAT-011** | 停止/中断 | 流式进行中，发送按钮变为「停止」。点击 → `AbortController.abort()` → 关闭 SSE → 当前消息置 `error` 并标注「已停止」→ 已收到的块保留不丢 | 停止后 BFF 侧上游连接也关闭（不留悬挂请求） |
### 7.3 流式问答（最复杂的部分，详细说明）
**FR-CHAT-008 流式问答主流程**
业务逻辑，按时序：
1. 用户发送 → 前端立即在界面追加用户消息气泡 → `POST /api/sessions/{id}/messages` 落库（`role:user`）
2. 会话状态置 `running`，左栏状态点开始脉冲，底栏 agent 点复位
3. 前端追加一条助手消息骨架（`status:streaming`），内含一个 `pipeline` 块，五相位全为 `waiting`
4. `fetch` + `ReadableStream` 打开 `POST /api/qa/chat/stream`（**不能用 EventSource**——请求是带 JSON body 的 POST）
5. 逐帧消费：
- `event: progress` → 取 `phase` 字段（**BFF 已计算好，前端不解析上游 stage 名**）→ 更新 `pipeline` 块对应相位为 `running`，此前相位置 `done`；同时把该事件的 `details` 追加为工作台「检索过程」的一张阶段卡
- `event: complete` → payload 即完整归一化响应 → 用 `answer` 生成 `text` 块（走揭示动画）、`sources` 生成 `sources` 块、图谱数据生成 `graph` 块；`pipeline` 全部置 `done`
- `event: error` → 消息置 `error`，展示 `error.message`，保留已收到的块
- `event: timeout` → 同 error，文案为「检索超时」
- `event: raw` → 记入 `raw`，不渲染
- `:` 注释帧（keepalive）→ 忽略
6. 每 ~3s 调 `PATCH /api/sessions/{id}/messages/{mid}` 做检查点持久化
7. 终态：消息置 `done`/`error` 落库，会话状态同步，底栏 agent 点定格
边界与异常：
- **上游最长 240s**：期间必须持续有视觉反馈（相位卡 + shimmer + 已耗时计数），不得让用户面对静止界面
- **网络中断**（移动端切网常见）：`fetch` reject → 置 `error`，文案「连接中断」，提供「重试」按钮。**不自动重连**——每次 LLM 调用昂贵，自动重试会放大成本
- **页面刷新中途**：重载后显示最后检查点内容 + 「已中断」标注，会话状态 `error`
- **同一会话并发提问**：忙碌时发送按钮 disabled，从交互上杜绝
**FR-CHAT-009 五阶段流水线卡**
| 相位 | 颜色令牌 | 上游 stage（由 BFF 归并） |
|---|---|---|
| 规划 | `--pa-t-planning` `#C0A8DD` | `understanding_started`、`entities_identified`、`related_search_started` |
| 检索 | `--pa-t-execution` `#9FBBE0` | `concepts_found`、`subquestion_retrieved`、`agent_review_started`、`subquestion_retry_started` |
| 证据 | `--pa-t-knowledge` `#9FC9A2` | `evidence_accepted`、`evidence_review_completed` |
| 生成 | `--pa-t-validation` `#DFA88F` | `answer_generation_started` |
| 完成 | `--pa-t-done` `#C08532` | `completed` |
渲染：纵向时间线，每相位 = 16px 状态点（✓ done / ● running / ◌ waiting）+ 2px 连接线 + 相位名 + 描述（取自最近一次该相位事件的摘要）+ 右侧状态文字；running 相位额外显示 11px 旋转 spinner。卡片头部「⚙ 检索流水线」+ 整体状态徽章（语义色）。
**关键约束**：相位色只回答「哪一步在做什么」，语义色只回答「整体成败」，两者不得混用。
**FR-CHAT-010 答案揭示动画**
上游**不做 token 级流式**，完整答案在 `complete` 一次到达。前端以 30ms/字符的速度揭示，尾部显示 8×15px 青色闪烁光标（`blink` 1s），下方显示 3px shimmer 进度线。揭示期间用户可点击「跳过」立即显示全文。揭示结束替换为最终 `text` 块。
边界：答案超过 2000 字符时，揭示速度自动加快（总时长上限 8s），避免长答案等待过久。
**FR-CHAT-012 错误与重试**
- 上游返回 HTTP≥400 且 `detail.error_code == "invalid_llm_citation"`：BFF 已自动重试一次；若仍失败，前端展示「引用校验失败，请重试」并提供重试按钮
- 其他错误：展示 `error.message`，提供重试按钮
- 重试 = 用相同问题与模式重新发起，**在同一条助手消息位置替换**，不新增用户消息
**FR-CHAT-013 消息持久化与恢复**
- 块联合完整落库（`stream` 块为瞬态，**不落库**，落库时已转为 `text`）
- `raw` 字段保存完整归一化响应，供排查与重渲染
- 刷新后从 `GET /api/sessions/{id}` 恢复全部块，包括表格、来源、图谱
---
## 8. FR-RETRIEVAL 检索过程（工作台 Tab1）
| 编号 | 功能点 | 业务逻辑与边界 | 验收要点 |
|---|---|---|---|
| **FR-RETRIEVAL-001** | 阶段卡列表 | 每个 SSE `progress` 事件生成一张卡，沿用原型「工具调用卡」视觉：折叠头（相位色图标 + 阶段中文名 + 状态点 + 耗时 mono）+ 展开体（`details` 以 mono 参数块呈现 + 摘要行） | 一次问答后卡片数量与收到的 progress 事件数一致 |
| **FR-RETRIEVAL-002** | 相位筛选 | chip：全部/规划/检索/证据/生成。激活态实心 `#5E6AD2` 底 + 白字 | 筛选后仅显示对应相位卡片 |
| **FR-RETRIEVAL-003** | 展开折叠 | 点击头部切换，chevron 旋转 90°，展开体 `fade-slide` 200ms。**运行中的卡默认展开**，完成后自动折叠 | 展开状态互相独立 |
| **FR-RETRIEVAL-004** | 运行中效果 | 运行中卡片头部 shimmer 扫光 1.8s 循环 + 状态点脉冲 | 完成后动效停止 |
| **FR-RETRIEVAL-005** | 检索计划 | 若响应含 `retrieval_plan`，在列表顶部以只读信息块展示；另展示 `/api/qa/info` 的 12 段 pipeline 描述作为静态说明 | 无 plan 时该区域不显示（不留空框） |
| **FR-RETRIEVAL-006** | 空态 | 未提问时显示「发起提问后，这里会实时展示检索过程」 | 空态不显示假卡片 |
---
## 9. FR-SOURCE 文献来源（工作台 Tab2）
| 编号 | 功能点 | 业务逻辑与边界 | 验收要点 |
|---|---|---|---|
| **FR-SOURCE-001** | 来源列表 | 沿用原型「产物文件」的 mono 列表视觉。每条：序号 + 标题（超长省略）+ mono 元信息行（`PMID:xxx` / `DOI:xxx` / 分数）+ 证据片段（默认 2 行截断，点击展开） | 条目数与 `source_count` 一致 |
| **FR-SOURCE-002** | 字段展示 | 展示归一化后的 `title / snippet / score / pmid / pmcid / doi / section / support_count`。缺失字段不显示占位符，**不显示 `undefined`/`null`** | 各字段缺失组合下渲染正常 |
| **FR-SOURCE-003** | 外链跳转 | 链接优先级：`url` > `doi`（拼 `https://doi.org/{doi}`）> `pmid`（拼 PubMed）> `pmcid`（拼 PMC）。均无则不显示链接图标。新标签页打开，带 `rel="noopener"` | 点击真实跳转到正确文献页 |
| **FR-SOURCE-004** | 证据链 | `chains` 按 `chain_id` 分组，每组可展开为逐跳列表：`源实体 —[关系]→ 目标实体`，每跳附 paper_id/PMID。跳数以徽章显示 | 多跳链条展开顺序正确 |
| **FR-SOURCE-005** | 会话级聚合 | 顶部切换「本次回答 / 本会话全部」。后者调 `GET /api/sessions/{id}/sources`，按 `paper_id` 去重并累计出现次数 | 去重正确，计数准确 |
| **FR-SOURCE-006** | 空态 | 无来源时显示「本次检索未命中文献」，**不显示空列表框** | 空结果不误导为加载中 |
---
## 10. FR-EXTRACT 提取任务（工作台 Tab3）
| 编号 | 功能点 | 业务逻辑与边界 | 验收要点 |
|---|---|---|---|
| **FR-EXTRACT-001** | 任务列表 | `GET /api/extraction/jobs`。每条沿用原型进度条视觉：任务名 + mono 百分比 + 6px 轨道 + 渐变填充 + sweep 扫光；100% 转为纯 success 色且停止扫光。**上游无 progress 数值**，百分比由 BFF 按 `stage` 派生（queued=5 / mineru=35 / llm=75 / completed=100，failed 显示失败态不显示进度条） | 列表与上游一致；派生数值正确；failed 任务呈现为错误态 |
| **FR-EXTRACT-002** | 任务详情 | 点击展开 `GET /api/extraction/jobs/{id}`，展示状态、message（中文进度描述）、统计字段（stage/species/figure_table 计数）、plan（仅 completed 有，未完成置 null 不显示） | 详情字段与上游一致；未完成任务不显示 plan 且不报错 |
| **FR-EXTRACT-003** | 运行日志 | `GET /api/extraction/run-log`，mono 等宽展示，最大高度内滚动，自动贴底 | 长日志不撑破布局 |
| **FR-EXTRACT-004** | 论文上传 | 作曲器区域附件按钮 → 选 PDF → `POST /api/extraction/upload`（multipart）→ 显示上传进度 → 成功返回 job_id 并刷新列表。**限制**：仅 PDF，单文件 ≤50MB。上游当前环境 MinerU 二进制路径缺失会导致新任务 failed（历史 27 个 failed 任务同因）——若发生，展示上游 message 的明确错误文案 | 非 PDF 被拒；超限被拒；错误文案可读 |
| **FR-EXTRACT-005** | 轮询刷新 | 存在 `running` 状态任务时每 5s 轮询列表；全部终态则停止轮询。切到其他 tab 时暂停轮询 | 无进行中任务时不空转 |
| **FR-EXTRACT-006** | 离线降级 | 抽取上游不可用时显示离线提示与重试按钮，不影响其他 tab | 8000/7900 全停时该 tab 优雅降级 |
---
## 11. FR-KG 知识图谱（工作台 Tab4）
**双数据源策略**（重要）：
- **答案图谱**：来自当前消息的 `graph` 块（由 QA 响应的 `knowledge_graph`/`native_graph_chains` 归一化而来）。永远可用，Neo4j 挂了也不受影响。
- **自由浏览**：来自 `GET /api/kg/*`，BFF 用 Bolt 直连 Neo4j。上游 `/api/v1/kg/*` 已损坏（指向未运行的 7687），不可依赖。
| 编号 | 功能点 | 业务逻辑与边界 | 验收要点 |
|---|---|---|---|
| **FR-KG-001** | 答案图谱渲染 | 手写 SVG 力导向布局。节点圆点 + 标签，边为渐变线（`#5E6AD2→#00D4FF`）带关系名。节点数 >50 时自动降级为列表视图并提示 | 图谱与答案引用的实体一致 |
| **FR-KG-002** | 节点着色与图例 | 按实体 `type` 着色，用品牌色 + 辅助紫 + 五相位色构成调色板，底部图例。**同一 type 在会话内颜色稳定** | 图例与节点颜色对应 |
| **FR-KG-003** | 节点详情 | 点击节点 → 侧滑详情面板，展示实体属性；若 Neo4j 可用，额外调 `GET /api/kg/entities/{name}` 拉全量属性 | Neo4j 不可用时仍能显示消息内已有属性 |
| **FR-KG-004** | 实体搜索 | 搜索框 → `GET /api/kg/entities?q=` → 按 `name_norm` 精确/前缀匹配（走 name_norm 索引，0.1s 内返回）→ 选中渲染其邻域。**注意上游无全文索引**，搜索是精确/前缀匹配，非模糊全文检索 | 中英文实体名（精确或前缀）均可搜到；响应 <1s |
| **FR-KG-005** | 邻域展开 | `GET /api/kg/entities/{name}/neighborhood?depth=&limit=`。深度选择 1/2，默认 1（**两跳实测约 13s**，需提示较慢）。节点上限 200，每跳按 paper_count/support_count 降序截断防 hub 吃满预算 | 深度切换生效；超限有提示不卡死 |
| **FR-KG-006** | 缩放与平移 | 滚轮/双指缩放（0.3×–3×），拖拽平移，双击复位。**触摸端必须支持双指缩放与单指拖拽** | 手机上可流畅缩放平移 |
| **FR-KG-007** | 离线降级 | Neo4j 不可用时：搜索与邻域功能禁用并提示离线；**答案图谱照常渲染**（这是双数据源的意义） | 断开 Neo4j 后 tab 不白屏 |
| **FR-KG-008** | 空态 | 本次回答无图谱数据时提示「本次检索未产生图谱关系」，并引导使用实体搜索 | 空态不显示空画布 |
---
## 12. FR-RESP 响应式（手机为一等公民）
### 12.1 断点
| 编号 | 档位 | 宽度 | 布局规则 |
|---|---|---|---|
| **FR-RESP-001** | Desktop | ≥1280px | 完整三栏 260/1fr/380 |
| **FR-RESP-002** | Laptop | 1024–1279px | 三栏保留；左栏**自动**折叠为 64px 轨；右栏收窄至 340px |
| **FR-RESP-003** | Tablet | 768–1023px | 对话单栏铺满；左栏改**左抽屉**（scrim 遮罩 + 滑入），顶栏加汉堡按钮；右栏改**右抽屉**，顶栏加工作台按钮并显示来源数角标 |
| **FR-RESP-004** | Mobile | <768px | 单栏；顶栏 = 汉堡 + 标题 + 工作台按钮；对话铺满；作曲器吸底；工作台为**全屏覆盖层 + 顶部 tab 条**；底部状态栏隐藏，四个 agent 点合并为顶栏一枚聚合状态点 |
抽屉与覆盖层动效沿用 `ease-out` 300ms；打开时 scrim 淡入，点击 scrim 或按 Esc 关闭。
### 12.2 移动端专项
| 编号 | 功能点 | 业务逻辑与边界 | 验收要点 |
|---|---|---|---|
| **FR-RESP-005** | viewport 与安全区 | `<meta viewport ... viewport-fit=cover>`；作曲器 `padding-bottom: env(safe-area-inset-bottom)`；顶栏 `env(safe-area-inset-top)` | iPhone 刘海/Home 条不遮挡内容 |
| **FR-RESP-006** | iOS 输入放大规避 | <768px 时 textarea `font-size:16px`（低于 16px 必触发 iOS 自动缩放）。**禁止**用 `maximum-scale=1` 规避——伤害无障碍 | iPhone Safari 聚焦输入框页面不放大 |
| **FR-RESP-007** | 悬停态触摸等价 | 所有 hover 样式包在 `@media (hover: hover)` 内。触摸设备下：来源外链图标常驻可见、助手消息左缘线常驻、会话条目去掉悬停底色改用点击反馈 | 手机上无「需要悬停才出现」的功能 |
| **FR-RESP-008** | 触控目标 | <768px 下会话条目、bench tab、模式 pill、图标按钮 `min-height:44px`（iOS HIG 标准，高于 DESIGN.md 的 36px） | 手机上不误触 |
| **FR-RESP-009** | 视口高度 | 用 `100dvh`，保留 `100vh` 回退，规避移动浏览器地址栏伸缩导致的高度跳变 | 滚动时布局不跳动 |
| **FR-RESP-010** | 虚拟键盘 | 监听 `visualViewport` 的 resize：键盘弹出时压缩消息区高度并保持贴底，作曲器始终可见 | 键盘弹出不遮挡输入框 |
| **FR-RESP-011** | 表格横向滚动 | <768px 下答案内 `md-table` 包一层横向滚动容器，右侧加渐隐提示。**不压缩字号**（可读性优先） | 宽表格可横滑查看完整内容 |
| **FR-RESP-012** | 移动端性能降级 | <768px 下 aurora 模糊半径降低或 `--pa-aurora-opacity:0`；图谱节点数上限降至 30 | 中端手机滚动流畅无卡顿 |
| **FR-RESP-013** | 手势（可选） | 左缘右滑开会话抽屉，右滑关工作台覆盖层。**不作为验收门槛** | 实现则可用，不实现不算缺陷 |
---
## 13. FR-HEALTH 健康与降级
| 编号 | 功能点 | 业务逻辑与边界 | 验收要点 |
|---|---|---|---|
| **FR-HEALTH-001** | 健康轮询 | 挂载后请求 `GET /api/health`，此后每 30s 一次。结果写入 store，驱动状态栏标记与各降级态。轮询失败不弹窗，仅标记 | 上游恢复后 30s 内自动解禁 |
| **FR-HEALTH-002** | QA 不可用 | `/api/qa/*` 返 503 degraded：作曲器禁用并显示「知识问答服务当前不可用」，历史会话仍可浏览 | 停掉 7920 后 UI 明确提示而非静默失败 |
| **FR-HEALTH-003** | Neo4j 不可用 | 图谱 tab 搜索/邻域禁用并提示离线；答案图谱不受影响 | 见 FR-KG-007 |
| **FR-HEALTH-004** | 抽取不可用 | 见 FR-EXTRACT-006 | 仅该 tab 降级 |
| **FR-HEALTH-005** | 网络中断 | 流式中断时提示「连接中断」+ 重试按钮；**不自动重连**（避免重复触发昂贵 LLM 调用） | 手机切换网络后有明确提示 |
---
## 14. 非功能要求
| 项 | 要求 |
|---|---|
| 首屏可交互 | 桌面 <2s（本地网络），手机 <3s |
| 长任务反馈 | QA 最长 240s，期间必须持续有视觉反馈，无静止超过 5s 的状态 |
| 数据安全 | Neo4j 凭据只存在于 BFF 配置，**绝不下发到浏览器**；LLM 输出必须经 DOMPurify 消毒后才 `v-html` |
| 离线容忍 | 前端零外网请求（无 Google Fonts、无 CDN），符合 DESIGN.md 禁令 |
| 浏览器支持 | Safari 16+（iOS）、Chrome 110+、Firefox 110+ |
---
## 15. FR 索引（供追溯矩阵使用）
SHELL: 001–007（7）｜THEME: 001–006（6）｜SESSION: 001–009（9）｜CHAT: 001–015（15）｜RETRIEVAL: 001–006（6）｜SOURCE: 001–006（6）｜EXTRACT: 001–006（6）｜KG: 001–008（8）｜RESP: 001–013（13）｜HEALTH: 001–005（5）
**合计 81 个功能点。** 测试用例追溯矩阵必须覆盖全部 81 项（FR-RESP-013 标注为可选，仍需有用例但允许标记为 N/A）。
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# TEST_CASES.md —— 需求测试用例与追溯矩阵
> 版本 1.0 ｜ 作者 T（测试 agent）｜ 用例唯一来源：`PRD.md`（81 FR）；请求/响应依据：`API.md`；分层与轮次纪律：`TEST_PLAN.md`；上游事实：`DISCOVERY.md`
> 本波（M0）交付：用例清单 + 双向追溯矩阵 + 执行说明 + E2E 骨架（2 条冒烟）。**全量执行从 M2 集成后开始，按 TEST_PLAN §5 轮次纪律。**
> 覆盖判据：每个 FR 至少 1 条 TC，且每条 TC 至少映射 1 个 FR（双向完整 = 主门禁 100%）。
---
## 1. 用例清单
### 1.1 编号与通用约定
- 编号：`TC-<模块>-<序号>`；E2E 主线场景：`TC-E2E-<主线号>-<视口>`（视口 M=Mobile 390×844 / T=Tablet 768×1024 / D=Desktop 1440×900）。
- 测试层：L1 后端单元（pytest -m unit，A 组自测）｜L2 后端接口（pytest -m api，respx mock 上游，T 主写）｜L2s 上游 smoke（`bash tests/smoke_upstreams.sh`）｜L3 前端单元（vitest）｜L4 前端组件（vitest + @vue/test-utils）｜L5 端到端（Playwright，三档视口）｜L6 验收（PM 人工）。
- 优先级：P0 = 主流程/数据正确性/安全；P1 = 重要功能与降级；P2 = 视觉细节/辅助路径。
- 可断言性要求：预期列均为可观察结果（元素存在/计数/请求体字段/HTTP 状态/存储值），无「检查是否正确」类断言。
- 「依赖充值」标注：上游 QA 当前 LLM 402 降级（DISCOVERY.md §6.1），凡断言涉及**自然语言答案内容**的用例均标注「依赖充值」——充值前只能验证结构（answer 字段存在、非空或为 fallback 证据列表、text 块已渲染），充值后验证完整断言。**检索/证据/图谱/来源类断言不受 402 影响。**
- 时序说明：流水线用例中的「pipeline 块状态依次 running→done」属 UI 状态推断，若无专门组件埋点，用例从渲染的相位卡/pipeline 卡状态文本断言；帧时序由 mock `sse_frames.json` 保证（与 TEST_CASES 无关的 fixture 细节以 PM 的 mock 为准）。
### 1.2 SHELL 应用外壳（FR-SHELL-001~007）
| 编号 | 对应 FR | 标题 | 前置条件 | 步骤 | 预期结果 | 测试层 | 优先级 |
|---|---|---|---|---|---|---|---|
| TC-SHELL-001 | FR-SHELL-001 | 桌面三栏网格精确尺寸 | Desktop 1440×900；AppShell 已挂载 | 1. 打开应用；2. 计算 `.app-shell` 的 grid-template-columns 与 rows 实际值（getComputedStyle）；3. 计算 `.session-panel`/`.chat-panel`/`.bench-panel` 宽度 | columns = `260px minmax(0,1fr) 380px`；rows = `48px minmax(0,1fr) 28px`；三栏实际宽度 260/800/380（1440 下）；`body` computed `overflow:hidden` | L5-D | P0 |
| TC-SHELL-002 | FR-SHELL-001 | 缩放下无横向滚动条 | Desktop 初始 1440×900 | 1. 将视口改为 1280×900、再 1440×900；2. 检查 `document.documentElement.scrollWidth` 与 `clientWidth` | 两档下 scrollWidth ≤ clientWidth；`body` 不出现横向滚动条 | L5-D | P1 |
| TC-SHELL-003 | FR-SHELL-002 | 顶栏结构：Logo/标题/徽章/主题按钮 | 已有一个活动会话；浅色主题 | 1. 打开应用；2. 断言 `.top-bar` 高 48px；3. 检查左 Logo 圆点与「海古纪 PlantAI」文字（gradient text）；4. 检查中部会话标题与状态徽章；5. 检查右侧主题切换按钮 | `.top-bar` offsetHeight=48；logo 文字存在且带 `background-clip:text` 渐变；中部标题=当前会话 title；主题按钮可点 | L5-D | P1 |
| TC-SHELL-004 | FR-SHELL-002 | 顶栏无会话时显示「就绪」 | 数据库无任何会话 | 打开应用 | 顶栏中部徽章文本=「就绪」（labels.js 对应键） | L4 | P2 |
| TC-SHELL-005 | FR-SHELL-002 | 顶栏长标题省略 | 存在 title 为 60+ 字符的会话 | 1. 打开该会话；2. 检查顶栏标题元素 computed style | 标题 text-overflow=ellipsis；不换行（white-space:nowrap）；单行渲染 | L5-D | P2 |
| TC-SHELL-006 | FR-SHELL-003 | 状态栏静态结构 | AppShell 已挂载；`/api/health`、`/api/qa/info` 正常 | 1. 检查 `.status-bar` 高 28px；2. 检查左 4 个 `.agent-dot-item`；3. 检查右侧版本/会话数/健康标记 | 高=28px；agent 点数量=4；右侧文本含 `PlantAI RAG v0.1` 与 QA 版本号（来自 `/api/qa/info` 的 `version`，如 `1.1.73-assertion-anchored`） | L5-D | P1 |
| TC-SHELL-007 | FR-SHELL-003 | 问答进行中状态栏四点联动 | 会话空闲；mock normal（SSE 回放） | 1. 发起提问；2. 在 SSE 进行中读取四个 agent 点的状态类 | 相位推进到 X 时第 X 个点激活（如 planning 时第 1 点 pulse）；progress 全部结束后四点定格（成功态） | L5-D | P1 |
| TC-SHELL-008 | FR-SHELL-004 | 左栏折叠为 64px 图标轨 | Desktop 1440×900；左栏展开 | 1. 点击左栏折叠按钮；2. 检查 `.session-panel` 宽度与图标按钮（3 个 34×34）；3. 刷新页面；4. 再次检查 | 折叠后宽度=64px；图标按钮=3 个；过渡 300ms；刷新后仍折叠 | L5-D | P1 |
| TC-SHELL-009 | FR-SHELL-004 | 左栏折叠状态持久化 | 同上 | 1. 折叠；2. 检查 `localStorage['pa-side-collapsed']` | localStorage 值为折叠标记；展开后标记被清除/反转 | L5-D | P2 |
| TC-SHELL-010 | FR-SHELL-005 | 右栏折叠保留手柄条 | Desktop 1440×900；右栏展开 | 1. 点击右栏折叠；2. 检查手柄条尺寸与可见性；3. 点击手柄展开；4. 检查 `localStorage['pa-bench-collapsed']` | 折叠后 `.bench-panel` 隐藏但手柄条 28px 可见可点；点击后恢复展开；刷新后保持折叠态 | L5-D | P1 |
| TC-SHELL-011 | FR-SHELL-006 | Aurora 背景不遮挡交互 | 任意视口；AppShell 已挂载 | 1. 检查 aurora 层 computed style；2. 点击顶栏主题按钮、会话列表项、作曲器输入框（逐个执行且均生效） | aurora 层 `position:fixed`、`z-index:0`、`pointer-events:none`；上述交互全部可操作 | L5-D | P1 |
| TC-SHELL-012 | FR-SHELL-006 | 浅色主题 aurora 衰减 | 已切浅色 | 检查 aurora 层或根元素的 `--pa-aurora-opacity` | computed 值=`.08`（UI_SPEC §1.2 令牌值） | L4 | P2 |
| TC-SHELL-013 | FR-SHELL-007 | 首屏初始化顺序与并行请求 | 深色主题已存 localStorage；无会话 | 1. 打开应用；2. 网络面板记录启动期请求 | `documentElement.dataset.theme` 在应用挂载前已写入（断言：无白色闪屏——深色下首帧背景即深色；实现断言：main.js 在 createApp 前写 dataset）；启动期存在 GET `/api/sessions`、`/api/health`、`/api/qa/info` 三个请求且并行（无串行依赖） | L5-D + L3 | P0 |
| TC-SHELL-014 | FR-SHELL-007 | 首屏接口失败不阻塞渲染 | mock 对 `/api/health` 返回 500（或 BFF 停止） | 打开应用 | 页面仍渲染 AppShell 与欢迎空态；健康标记显示降级/离线态；无未捕获异常 | L5-D（mock error 场景） | P1 |
| TC-SHELL-015 | FR-SHELL-007 | 无会话显示欢迎空态 | 数据库无会话 | 打开应用 | 对话区显示欢迎空态（渐变菱形 + 标题 + 3 张建议卡） | L5-D | P1 |
### 1.3 THEME 主题与无障碍（FR-THEME-001~006）
| 编号 | 对应 FR | 标题 | 前置条件 | 步骤 | 预期结果 | 测试层 | 优先级 |
|---|---|---|---|---|---|---|---|
| TC-THEME-001 | FR-THEME-001 | 深色默认主题 | 首次打开（无 pa-theme 存储） | 1. 打开应用；2. 检查 `documentElement.dataset.theme` 与 `--pa-canvas` computed 值 | theme='dark'；canvas=#0A0A10（rgb(10,10,16)） | L5-D | P0 |
| TC-THEME-002 | FR-THEME-001 | 浅色主题逐组件走查 | 已切浅色 | 逐个检查顶栏、会话项、气泡、作曲器、bench 面板的计算样式 | 无失色：各元素背景/文字均来自浅色令牌（canvas=#F6F8FC，surface-1=#FFFFFF）；无深色令牌残留（如 #0A0A10 不再出现于背景） | L5-D（或 L6 人工走查） | P0 |
| TC-THEME-003 | FR-THEME-002 | 主题切换即时生效 | 默认深色 | 1. 点击顶栏主题按钮；2. 立即检查 `documentElement.dataset.theme` 与 localStorage；3. 刷新后复查 | dataset.theme 即时='light'；`localStorage['pa-theme']='light'`；刷新后仍为 light；再切回同理 | L5-D | P0 |
| TC-THEME-004 | FR-THEME-002 | 主题图标旋转动画 | 同上 | 切换主题时检查图标 transform | 图标日/月互换且 rotate 180°（transition 400ms） | L5-D | P2 |
| TC-THEME-005 | FR-THEME-003 | 浅色 glow 衰减 | 已切浅色 | 检查根元素 `--pa-glow-opacity` computed 值 | 值=.35（深色下=1） | L4 | P2 |
| TC-THEME-006 | FR-THEME-004 | 动效降级（reduced motion） | 系统「减少动态效果」开启；Playwright 以 `reducedMotion:'reduce'` 启动 context | 1. 打开应用；2. 检查 aurora/状态点/按钮的 animation 计算样式；3. 发起一次问答 | `@media (prefers-reduced-motion: reduce)` 生效：所有元素 animation-duration=0 或 animation 为 none；running 状态以静态符号（实心点 + 文字徽章）可辨认，无 pulse/shimmer/spin 运动 | L5-D（reducedMotion context） | P1 |
| TC-THEME-007 | FR-THEME-005 | 焦点环样式 | 任意视口 | Tab 键聚焦顶栏主题按钮与作曲器 textarea | `:focus-visible` 输出 2px `rgba(94,106,210,.5)` 焦点环（outline-offset 1px） | L5-D | P1 |
| TC-THEME-008 | FR-THEME-005 | 纯键盘完成主流程 | 空数据库；mock normal | 只用 Tab/Enter/Esc 完成：新建会话 → 聚焦输入 → 输入问题 → ⌘/Ctrl+Enter 发送 → Tab 切换工作台 tab → Esc 关闭面板 | 每一步可达且生效；Tab 顺序符合视觉顺序（顶栏 → 会话列表 → 对话 → 作曲器 → 工作台） | L5-D（键盘驱动） | P0 |
| TC-THEME-009 | FR-THEME-006 | 对比度达标（深色） | 深色主题 | 抽检 `.app-shell` 内 3 处文本（正文 ink、muted、subtle）的计算颜色与 canvas 背景，按 WCAG 公式计算对比度 | ink/canvas ≥15:1；ink-muted/canvas ≥4.5:1；ink-subtle 仅用于非关键信息 | L5-D + L3（工具函数断言，可脚本化） | P1 |
| TC-THEME-010 | FR-THEME-006 | 对比度达标（浅色） | 浅色主题 | 同 TC-THEME-009 步骤，浅色令牌 | ink(#16182A)/canvas(#F6F8FC) ≈ 计算值 ≥ 深色同等标准；ink-muted/canvas ≥4.5:1 | L5-D | P1 |
### 1.4 SESSION 会话管理（FR-SESSION-001~009）
| 编号 | 对应 FR | 标题 | 前置条件 | 步骤 | 预期结果 | 测试层 | 优先级 |
|---|---|---|---|---|---|---|---|
| TC-SESSION-001 | FR-SESSION-001 | 列表按 updated_at 倒序 | 数据库 ≥3 个会话，updated_at 互异（fixtures 保证） | 1. GET `/api/sessions`；2. 前端渲染列表；3. 依次读取条目标题 | 条目顺序 = updated_at 从新到旧 | L2（fixture 会话数据）+ L4 | P0 |
| TC-SESSION-002 | FR-SESSION-001 | 分组「今天/昨天/更早」 | ≥3 个会话，时间分别落在今天/昨天/2 天前 | 渲染列表 | 三个组标签（11px/500/字距0.6px）按序出现，组内条目归属正确；组内按时间倒序 | L4（clock mock） | P1 |
| TC-SESSION-003 | FR-SESSION-001 | 空列表引导文案 | 数据库无会话 | 渲染列表 | 显示引导文案（「暂无会话」类 labels 文案）；不渲染列表条目 | L4 | P2 |
| TC-SESSION-004 | FR-SESSION-002 | 状态点四态区分 | 4 个会话分别 idle/running/done/error | 渲染列表 | 形状可区分：idle=空心、running=空心+脉冲动画、done=实心 success 色、error=实心 error 色；running 有 animation，其余无 | L4 | P1 |
| TC-SESSION-005 | FR-SESSION-003 | 新建会话 | 任意初始状态 | 1. 点击「新建会话」按钮；2. 观察网络请求与界面 | 发出 POST `/api/sessions`；列表新增一条「新会话」；切换为活动会话；对话区显示欢迎空态；**不产生空消息**（GET 详情 messages 为空数组） | L5-D + L2 | P0 |
| TC-SESSION-006 | FR-SESSION-003 | 新建连点不重复 | 同上 | 快速连点新建按钮 2 次 | 产生 2 个独立会话（列表+2，两条 POST）；均切到最后创建的一个 | L5-D | P1 |
| TC-SESSION-007 | FR-SESSION-004 | 选择会话加载历史 | 会话含 text/table/sources/graph 块消息 | 点击该会话条目 | 发出 GET `/api/sessions/{id}`；加载中显示骨架屏；完成后消息按块类型渲染：markdown 文本、表格（md-table 样式）、来源、图谱块均出现 | L5-D（mock 会话详情含全块） | P0 |
| TC-SESSION-008 | FR-SESSION-004 | 切换会话中断进行中流 | 会话 A 流式进行中；会话 B 存在 | 点击会话 B | 会话 A 的 SSE 连接 abort（Network 面板连接关闭）；会话 A 状态置 error；切回会话 A 后其消息标注「已中断」 | L5-D（mock slow/正常流） | P0 |
| TC-SESSION-009 | FR-SESSION-005 | 搜索过滤（中文/英文/大小写） | ≥3 个会话，标题含中英文混排 | 1. 输入中文关键词；2. 输入英文小写；3. 输入英文大写；4. 输入无匹配词；5. 清空 | 匹配为 title 大小写不敏感子串；无匹配显示「无匹配会话」；清空恢复全量；过滤期间无网络请求 | L5-D + L4 | P1 |
| TC-SESSION-010 | FR-SESSION-006 | 重命名提交 | 活动会话 | 1. 双击标题进入编辑；2. 输入新名；3. 回车 | PATCH `/api/sessions/{id}` 请求体 `{title:新名}`；列表与顶栏标题同步更新 | L5-D + L2 | P1 |
| TC-SESSION-011 | FR-SESSION-006 | 重命名取消与空标题 | 同上 | 1. 编辑中按 Esc；2. 再次编辑并清空标题后回车 | Esc 放弃改动；空标题提交按钮禁用或提交被拒，不发出 PATCH 空 title | L5-D | P2 |
| TC-SESSION-012 | FR-SESSION-007 | 删除需二次确认 | 2 个会话 | 1. 右键/菜单点删除；2. 出现确认弹层时点取消 | 未删除（列表不变、无 DELETE 请求） | L5-D | P1 |
| TC-SESSION-013 | FR-SESSION-007 | 删除当前会话切换 | 2 个会话；选中其中一个 | 删除并确认 | DELETE `/api/sessions/{id}` 204；当前会话切换到剩余最新一个；刷新列表后已删会话不再出现 | L5-D + L2 | P0 |
| TC-SESSION-014 | FR-SESSION-007 | 删除最后一个会话显示空态 | 仅 1 个会话 | 删除并确认 | 列表空；对话区显示欢迎空态 | L5-D | P1 |
| TC-SESSION-015 | FR-SESSION-007 | 级联删除消息 | 会话含 2 条消息；BFF 真实 | 删除会话后 GET `/api/sessions/{id}` | 返回 404（NOT_FOUND 信封）；SQLite 中该会话消息行一并删除（L2 断言数据库） | L2 | P0 |
| TC-SESSION-016 | FR-SESSION-008 | 首问自动标题 | 新建会话 | 1. 提问（问题 40+ 字符）；2. 检查 PATCH 请求与列表标题 | PATCH 请求体 title = 问题前 30 字符 + 省略号；列表标题同步变化 | L5-D + L2 | P0 |
| TC-SESSION-017 | FR-SESSION-008 | 手动改名后不覆盖 | 会话 meta.title_manual=true（改过名） | 1. 再次提问；2. 检查是否发出 title PATCH | 不发出改 title 的 PATCH；标题保持手动值 | L2（会话固定数据）+ L4 | P1 |
| TC-SESSION-018 | FR-SESSION-009 | 活动态高亮 | ≥2 个会话 | 1. 选中会话 A；2. 检查其 computed style；3. 悬停另一项 B 对比 | A 有 2px 渐变左竖条 + g-to 8% 底色 + 内描边；与悬停态（B）可区分 | L5-D | P2 |
### 1.5 CHAT 对话与问答（FR-CHAT-001~015）
#### 1.5.1 基础渲染
| 编号 | 对应 FR | 标题 | 前置条件 | 步骤 | 预期结果 | 测试层 | 优先级 |
|---|---|---|---|---|---|---|---|
| TC-CHAT-001 | FR-CHAT-001 | 欢迎空态元素与建议卡 | 无消息 | 打开应用 | 显示 46px 渐变菱形（✧）+ 渐变标题「海古纪 PlantAI 知识工作台」+ 副标题 + 3 张建议卡 | L5-D | P1 |
| TC-CHAT-002 | FR-CHAT-001 | 建议卡点击即提问 | 无消息；mock normal | 点击第 1 张建议卡 | 卡片文本进入作曲器并直接发送；出现用户气泡（内容=卡片文本）与助手骨架；发出 POST `/api/qa/chat/stream` | L5-D | P0 |
| TC-CHAT-003 | FR-CHAT-002 | 用户气泡样式与长文本换行 | 任意 | 发送 300 字无空格长文本 | 气泡右对齐，宽度 ≤ 父容器 70%；文本换行且不溢出（scrollWidth ≤ 气泡宽度） | L5-D | P2 |
| TC-CHAT-004 | FR-CHAT-003 | 助手消息头部与悬停竖线 | 已有助手消息 | 1. 检查头部（24px 渐变头像 ✦ + 「PlantAI 智能体」+ 时间）；2. 悬停消息左缘 | 头部三要素齐全；左缘 2px 竖线 hover 时出现渐变 | L5-D | P2 |
| TC-CHAT-005 | FR-CHAT-003 | 多块混排顺序 | 消息 blocks 为 [pipeline,text,table,sources,graph]（mock 会话详情） | 渲染该消息 | 各块按 blocks 数组顺序渲染；无块丢失 | L5-D | P1 |
| TC-CHAT-006 | FR-CHAT-004 | Markdown 表格样式 | 消息含表格块（mock 含 md-table 内容的 text 块） | 渲染 | 表格带 md-table 类：thead 2px 渐变下边框；数据格 mono 字体（表头为「说明」的列保持比例字体） | L5-D | P1 |
| TC-CHAT-007 | FR-CHAT-004 | 脚本注入被消毒 | 向问答返回的 answer 注入 `<script>window.__pwned=1</script>` 与 `<img src=x onerror=...>`（mock fixture 或 BFF 层构造） | 渲染该答案 | `window.__pwned` 为 undefined；DOM 中不存在 script 标签；onerror 未执行；内容经 DOMPurify 后 v-html | L5-D（注入 fixture）+ L3（sanitize 单测） | P0 |
| TC-CHAT-008 | FR-CHAT-014 | 流式自动滚动到底 | mock normal；消息区可滚动 | 发起提问 | 流式更新期间滚动条持续贴近底部（scrollTop+clientHeight ≥ scrollHeight−10） | L5-D | P1 |
| TC-CHAT-009 | FR-CHAT-014 | 上滚暂停自动滚动 | 流式进行中 | 向上滚动 ≥100px | 不再自动贴底；出现「回到最新」按钮 | L5-D | P1 |
| TC-CHAT-010 | FR-CHAT-014 | 「回到最新」恢复滚动 | 上滚暂停状态 | 点击「回到最新」按钮 | 滚动回底部；恢复自动滚动；按钮消失 | L5-D | P1 |
| TC-CHAT-011 | FR-CHAT-015 | 内联引用 chip 跳转高亮 | 答案含引用标记（citation 编号）与对应来源 | 点击引用 chip | bench 切换到「文献来源」tab 并滚动定位到对应条目；该条目高亮 2s 后消失；chip 编号与列表条目序号一致 | L5-D | P1 |
#### 1.5.2 作曲器
| 编号 | 对应 FR | 标题 | 前置条件 | 步骤 | 预期结果 | 测试层 | 优先级 |
|---|---|---|---|---|---|---|---|
| TC-CHAT-012 | FR-CHAT-005 | 输入框高度自适应 | 桌面 | 1. 输入 1 行文本测基线（min-height 46px）；2. 输入 10 行文本 | 基线 ≥46px；随内容增高，最大 160px 后内部滚动（scrollHeight > clientHeight） | L5-D | P2 |
| TC-CHAT-013 | FR-CHAT-006 | 三模式切换 | 桌面；mock normal | 依次点击 问答/方案/检索 pill | 激活 pill 渐变底+白字+青光；非激活态可区分；切换即生效 | L5-D | P0 |
| TC-CHAT-014 | FR-CHAT-006 | 问答模式请求体 | mock 正常；问答模式 | 提问并抓取 POST `/api/qa/chat/stream` 请求体 | body.use_llm=true；question 为输入文本；无 native_chain 字段（或为 modes.js 定义默认） | L5-D + L3（modes.js 参数集断言） | P0 |
| TC-CHAT-015 | FR-CHAT-006 | 方案模式请求体 | 方案模式 | 同上 | body.use_llm=true；native_chain_enabled=true；native_chain_max_hops=3；native_chain_top_k=5；端点仍为 `/api/qa/chat/stream` | L5-D + L3 | P0 |
| TC-CHAT-016 | FR-CHAT-006 | 检索模式请求与响应 | 检索模式 | 1. 提问；2. 观察端点为 `/api/qa/search`；3. 等待完成；4. 检查消息块 | body.use_llm=false；响应 answer 为空；消息只含 sources（+pipeline）块，**无 text 答案块** | L5-D + L2 | P0 |
| TC-CHAT-017 | FR-CHAT-007 | 快捷键发送 | 桌面 | 输入文字后按 ⌘/Ctrl+Enter | 发送；出现用户气泡 | L5-D | P0 |
| TC-CHAT-018 | FR-CHAT-007 | Enter 换行 | 桌面 | 输入文字后按 Enter（非组合键） | 不发送；textarea 内换行（行数+1） | L5-D | P1 |
| TC-CHAT-019 | FR-CHAT-007 | 中英文输入法快捷键 | IME 输入法激活（模拟 composition 事件） | composition 期间按 Enter | 不触发发送（组合输入确认才触发） | L3（composition 事件模拟） | P1 |
| TC-CHAT-020 | FR-CHAT-007 | 空输入与忙碌禁用 | 流式进行中 | 1. 空输入点发送；2. 流式中点发送 | 按钮 disabled（opacity .45）；无新请求；底部提示文案显示快捷键说明 | L5-D | P1 |
| TC-CHAT-021 | FR-CHAT-011 | 停止流式 | mock slow（长流） | 1. 提问；2. 流式中点击「停止」 | 发送按钮已变为「停止」；点击后 SSE 连接关闭（Network 断言）；消息置 error 并标注「已停止」；已收到的块保留 | L5-D | P0 |
| TC-CHAT-022 | FR-CHAT-011 | 停止后无悬挂请求 | BFF 真实 + 上游 QA | 流式中停止；随后检查 BFF 日志 | 前端 abort 后 BFF 取消上游请求（BFF 侧无悬挂 upstream 连接；日志有取消记录） | L2（respx 断言 abort）+ L5 | P1 |
#### 1.5.3 流式主流程（FR-CHAT-008）
| 编号 | 对应 FR | 标题 | 前置条件 | 步骤 | 预期结果 | 测试层 | 优先级 |
|---|---|---|---|---|---|---|---|
| TC-CHAT-023 | FR-CHAT-008 | 主流程-用户消息立即落库 | mock normal；新会话 | 发送问题 | 用户气泡立即出现（不等后端）；发出 POST `/api/sessions/{id}/messages`，body={role:user,text}；落库成功 | L5-D + L2 | P0 |
| TC-CHAT-024 | FR-CHAT-008 | 主流程-会话置 running 与骨架 | 同上 | 发送后观察 | 会话状态置 running（左栏状态点脉冲动画）；底栏 4 agent 点复位；出现助手骨架消息（status=streaming）含 pipeline 块，五相位全 waiting | L5-D | P0 |
| TC-CHAT-025 | FR-CHAT-008 | 主流程-progress 相位推进与阶段卡 | mock normal（sse_frames 12 帧） | 提问后观察 | 每帧 progress：pipeline 对应相位 running、此前相位 done；工作台「检索过程」新增阶段卡，数量=progress 帧数（11 个 stage 帧）；阶段卡 label 为中文（如「已识别实体」） | L5-D | P0 |
| TC-CHAT-026 | FR-CHAT-008 | 主流程-complete 生成三块 | mock normal；提问完成 | 等待 complete | 消息含 text 块（揭示动画结束为最终文本）、sources 块、graph 块；pipeline 五相位全部 done；消息状态 done；会话状态 done | L5-D | P0 |
| TC-CHAT-027 | FR-CHAT-008 | 主流程-答案内容（依赖充值） | mock normal（mock 答案为固定文本）；真实上游需充值 | 断言答案文本 | mock 下：答案文本与 mock fixture 一致（可断言内容）；真实上游：answer 为自然语言答案（**依赖充值**，当前 402 下为 fallback 证据列表） | L5-D / L6 | P1 |
| TC-CHAT-028 | FR-CHAT-008 | 主流程-检查点持久化节奏 | BFF 真实；流 ≥3s | 提问并抓取 PATCH 请求 | 流式中每约 3s 发出 PATCH `/api/sessions/{id}/messages/{mid}`（块检查点）；终态再发一次终态 PATCH（done/error） | L2 + L5 | P0 |
| TC-CHAT-029 | FR-CHAT-008 | 主流程-长任务持续反馈（240s） | mock slow（长流，或上游真实 ~92s） | 提问并计时观察 | 240s 内任一时刻页面均有视觉反馈（相位卡 shimmer/已耗时计数）；无静止超过 5s 的状态（5s 间隔采样断言有动画元素或文本变化） | L5-D（slow 场景） | P0 |
| TC-CHAT-030 | FR-CHAT-008 | 网络中断重试按钮 | 流式中断网（playwright context.setOffline(true)） | 1. 流式中断网；2. 观察消息状态；3. 恢复网络；4. 观察是否自动重连；5. 点「重试」 | 消息置 error，文案「连接中断」；出现「重试」按钮；**不自动重连**（恢复网络后无新请求，需手动点击）；点重试后重新发起同问题请求 | L5-D（offline 模拟） | P0 |
| TC-CHAT-031 | FR-CHAT-008 | 刷新恢复中断会话 | 流式进行中刷新页面 | 刷新后检查该会话 | 显示最后检查点内容；标注「已中断」；会话状态 error；不自动重试 | L5-D | P0 |
| TC-CHAT-032 | FR-CHAT-008 | 同一会话并发提问防护 | 流式进行中 | 观察发送按钮 | 按钮 disabled；无法发送第二个问题 | L5-D | P1 |
| TC-CHAT-033 | FR-CHAT-008 | 同会话提问互相独立（无上下文记忆） | 同一会话已完成一次提问 | 第二次提问并抓取请求体 | 第二次请求只含当前 question，无历史消息拼接（max_rounds:1 语义）；UI 有「每次提问独立检索」提示文案 | L2 + L5 | P1 |
#### 1.5.4 流水线卡与揭示动画（FR-CHAT-009 / FR-CHAT-010）
| 编号 | 对应 FR | 标题 | 前置条件 | 步骤 | 预期结果 | 测试层 | 优先级 |
|---|---|---|---|---|---|---|---|
| TC-CHAT-034 | FR-CHAT-009 | 五相位视觉与颜色 | 流式中与完成后分别观察 pipeline 卡 | 检查五个 p-step 的颜色令牌与状态字形 | 相位色：规划#C0A8DD、检索#9FBBE0、证据#9FC9A2、生成#DFA88F、完成#C08532；状态字形 ✓done/●running/◌waiting；running 相位带 11px 旋转 spinner；卡头「⚙ 检索流水线」+ 整体状态徽章（语义色） | L5-D | P0 |
| TC-CHAT-035 | FR-CHAT-009 | 相位与语义色不混用 | 流式中出现错误（mock error 场景） | 检查 pipeline 卡 | 相位点颜色只随相位走（五相位色）；整体成败徽章只用语义色（success/error）——两者不互换 | L5-D | P1 |
| TC-CHAT-036 | FR-CHAT-010 | 揭示动画与跳过 | mock normal；答案长度已知 | 1. 观察 complete 后答案揭示；2. 点击「跳过」 | 揭示速度 30ms/字符，尾部 8×15px 青色闪烁光标 + 3px shimmer 进度线；点「跳过」后立即显示全文，reveal 元素移除 | L5-D | P1 |
| TC-CHAT-037 | FR-CHAT-010 | 长答案 8s 上限 | mock 构造 >2000 字符答案 | 测量揭示总时长 | 速度自动加快，总时长 ≤8s | L5-D | P2 |
#### 1.5.5 错误与重试（FR-CHAT-012）
| 编号 | 对应 FR | 标题 | 前置条件 | 步骤 | 预期结果 | 测试层 | 优先级 |
|---|---|---|---|---|---|---|---|
| TC-CHAT-038 | FR-CHAT-012 | 引用校验失败重试 | BFF 对 invalid_llm_citation 已自动重试一次仍失败（L2 构造） | 观察响应与界面 | 前端展示「引用校验失败，请重试」（INVALID_CITATION 信封 message）并提供重试按钮 | L2（respx 断言 BFF 重试一次）+ L5 | P0 |
| TC-CHAT-039 | FR-CHAT-012 | 其他错误展示 message | mock scenario=error | 提问 | 消息置 error；展示 error.message 文案（上游错误中文文案）；提供重试按钮；已收到块保留 | L5-D（error 场景） | P0 |
| TC-CHAT-040 | FR-CHAT-012 | 重试同位置替换 | 错误后 | 点击重试 | 用相同问题与模式重新发起；**不新增用户消息**（消息列表长度不变，同一条助手消息位置更新） | L5-D | P0 |
| TC-CHAT-041 | FR-CHAT-012 | SSE error/timeout 事件 | mock 构造 event:error 与 event:timeout 帧 | 提问 | error 帧→展示 error.message；timeout 帧→文案「检索超时」；两者均置消息 error 并保留已收到块 | L5-D（定制 mock 流） | P1 |
#### 1.5.6 持久化与恢复（FR-CHAT-013）
| 编号 | 对应 FR | 标题 | 前置条件 | 步骤 | 预期结果 | 测试层 | 优先级 |
|---|---|---|---|---|---|---|---|
| TC-CHAT-042 | FR-CHAT-013 | 块联合完整落库 | BFF 真实；完成一次问答 | 检查 SQLite 该消息行 | blocks 含 text/table/sources/graph/pipeline 等全部完成块；**无 stream 块**（瞬态已转 text）；raw 字段保存完整归一化响应 | L2 | P0 |
| TC-CHAT-043 | FR-CHAT-013 | 刷新后恢复全部块 | 完成一次含表格/来源/图谱的问答 | 刷新页面并打开该会话 | GET `/api/sessions/{id}` 后全部块正确重渲染（表格、来源、图谱可见）；无数据丢失 | L5-D | P0 |
### 1.6 RETRIEVAL 检索过程（FR-RETRIEVAL-001~006）
| 编号 | 对应 FR | 标题 | 前置条件 | 步骤 | 预期结果 | 测试层 | 优先级 |
|---|---|---|---|---|---|---|---|
| TC-RETRIEVAL-001 | FR-RETRIEVAL-001 | 阶段卡与 progress 帧一一对应 | mock normal；完成一次问答 | 统计工作台 Tab1 卡片数与 Network 中 progress 帧数 | 卡片数 = progress 帧数（sse_frames 11 个 stage 帧 → 11 张卡）；每卡含相位色图标 + 阶段中文名 + 状态点 + 耗时 mono | L5-D | P0 |
| TC-RETRIEVAL-002 | FR-RETRIEVAL-001 | 阶段卡展开体参数块 | 已有一张阶段卡 | 展开卡头 | 展开体显示 details 参数块（mono）+ 摘要行（如 entities 列表） | L5-D | P2 |
| TC-RETRIEVAL-003 | FR-RETRIEVAL-002 | 相位筛选 | 一次问答后存在 4 个相位卡片 | 依次点击 全部/规划/检索/证据/生成 chip | 激活 chip 实心 #5E6AD2 底 + 白字；筛选后仅显示对应相位卡片（计数=对应相位帧数） | L5-D | P1 |
| TC-RETRIEVAL-004 | FR-RETRIEVAL-003 | 展开折叠与默认态 | 流式中（running 卡）与完成后各观察一次 | 1. 流式中看卡默认态；2. 完成后看默认态；3. 点击头部 | 运行中的卡默认展开；完成后自动折叠；点击切换展开/折叠；chevron 旋转 90°；展开体 fade-slide 200ms；各卡状态互相独立 | L5-D | P1 |
| TC-RETRIEVAL-005 | FR-RETRIEVAL-004 | 运行中效果 | 流式中 | 检查 running 卡 | 头部 shimmer 扫光（1.8s 循环）+ 状态点脉冲；完成后动效停止（animation none/移除） | L5-D | P2 |
| TC-RETRIEVAL-006 | FR-RETRIEVAL-005 | 检索计划展示与无 plan 不显示 | mock normal（fixture 含 retrieval_plan）与无 plan 的响应各一次 | 检查列表顶部 | 含 retrieval_plan 时顶部只读信息块展示 plan；无 plan 时该区域**不渲染**（无空框）；另展示 `/api/qa/info` 的 12 段 pipeline 静态说明 | L5-D | P1 |
| TC-RETRIEVAL-007 | FR-RETRIEVAL-006 | 空态 | 未提问 | 打开工作台 Tab1 | 显示「发起提问后，这里会实时展示检索过程」；无假卡片 | L5-D | P2 |
### 1.7 SOURCE 文献来源（FR-SOURCE-001~006）
| 编号 | 对应 FR | 标题 | 前置条件 | 步骤 | 预期结果 | 测试层 | 优先级 |
|---|---|---|---|---|---|---|---|
| TC-SOURCE-001 | FR-SOURCE-001 | 来源列表条目数与元素 | mock normal 完成问答（source_count=4） | 打开工作台 Tab2 | 条目数 = 4（与响应 source_count 一致）；每条：序号 + 标题（超长省略）+ mono 元信息行（PMID:xxx / DOI:xxx / 分数）+ 证据片段（默认 2 行截断） | L5-D | P0 |
| TC-SOURCE-002 | FR-SOURCE-001 | 证据片段展开 | 有一条来源 | 点击片段 | 展开显示完整 snippet；再点收起 | L5-D | P2 |
| TC-SOURCE-003 | FR-SOURCE-002 | 字段缺失不渲染占位 | mock 构造 source 缺 pmid/pmcid/doi/section 的组合 | 渲染列表 | 缺失字段位置不显示占位符；页面文本中不含 `undefined`、`null` 字样 | L5-D | P0 |
| TC-SOURCE-004 | FR-SOURCE-003 | 外链优先级 | 4 个 source：a 有 url；b 无 url 有 doi；c 无 url/doi 有 pmid；d 无 url/doi/pmid 有 pmcid；e 全无 | 检查各条目链接 | a 链=url；b=`https://doi.org/{doi}`；c=PubMed PMID 链接；d=PMC 链接；e 无链接图标；点击新标签打开且带 `rel="noopener"` | L5-D | P1 |
| TC-SOURCE-005 | FR-SOURCE-004 | 证据链分组与展开 | 响应 chains 含 ≥2 个 chain_id | 打开证据链区 | 按 chain_id 分组显示；组徽章显示跳数；展开后逐跳列表 `源实体 —[关系]→ 目标实体`，每跳附 paper_id/PMID；顺序与 hops 数组一致 | L5-D | P1 |
| TC-SOURCE-006 | FR-SOURCE-005 | 会话级聚合 | 同一会话完成 2 次问答（相同 paper 出现多次） | 切到「本会话全部」 | 发出 GET `/api/sessions/{id}/sources`；按 paper_id 去重；每条 count = 该 paper 累计出现次数；去重后条数正确 | L5-D + L2 | P1 |
| TC-SOURCE-007 | FR-SOURCE-006 | 空态 | mock scenario=empty 完成问答（source_count=0） | 打开工作台 Tab2 | 显示「本次检索未命中文献」；无空列表框（无 .ft-item 元素） | L5-D（empty 场景） | P1 |
### 1.8 EXTRACT 提取任务（FR-EXTRACT-001~006）
| 编号 | 对应 FR | 标题 | 前置条件 | 步骤 | 预期结果 | 测试层 | 优先级 |
|---|---|---|---|---|---|---|---|
| TC-EXTRACT-001 | FR-EXTRACT-001 | 任务列表与派生百分比 | mock 任务列表（含 queued/running/completed/failed 各一） | 打开工作台 Tab3 | 发出 GET `/api/extraction/jobs`；列表与响应一致；百分比派生正确：queued=5、running(35/75 按 stage)、completed=100、failed 无进度条且显示错误态；100% 为纯 success 色且无 sweep 扫光 | L5-D + L2（BFF 派生断言） | P0 |
| TC-EXTRACT-002 | FR-EXTRACT-002 | 任务详情 | 已有一个任务 | 点击展开 | GET `/api/extraction/jobs/{id}`；显示 status、message（中文进度）、stats 统计字段（stage/species/figure_table 计数） | L5-D | P1 |
| TC-EXTRACT-003 | FR-EXTRACT-002 | 未完成任务 plan 不显示 | 一个 running 任务 | 展开详情 | plan 为 null 时**不显示 plan 区块**且无报错 | L5-D | P1 |
| TC-EXTRACT-004 | FR-EXTRACT-003 | 运行日志 | mock 正常 | 打开运行日志 | GET `/api/extraction/run-log`；mono 等宽展示；长日志在最大高度内滚动（scrollHeight > clientHeight 时出现内部滚动）；自动贴底 | L5-D | P2 |
| TC-EXTRACT-005 | FR-EXTRACT-004 | 上传 PDF 成功 | 构造 ≤50MB PDF；mock 上传成功 | 附件按钮 → 选 PDF → 上传 | POST `/api/extraction/upload`（multipart，Content-Type 含 multipart/form-data）；显示上传进度；成功返回 job_id 并刷新列表（出现新任务） | L5-D | P1 |
| TC-EXTRACT-006 | FR-EXTRACT-004 | 非 PDF 被拒 | 一个 .txt 文件 | 尝试上传 | 被拒绝（前端拦截或 422）；不发出上传请求（前端拦截时）或返回 VALIDATION 信封 | L5-D + L2 | P1 |
| TC-EXTRACT-007 | FR-EXTRACT-004 | 超 50MB 被拒 | 一个 >50MB PDF | 尝试上传 | 被拒绝；提示超出大小限制；不发出上传请求 | L5-D | P2 |
| TC-EXTRACT-008 | FR-EXTRACT-004 | 上游失败错误文案 | mock 返回 502（MinerU 不可用） | 上传 | 展示上游 message 的明确错误文案（非堆栈）；任务列表/详情为失败态 | L5-D | P1 |
| TC-EXTRACT-009 | FR-EXTRACT-005 | 轮询节奏 | 列表含一个 running 任务 | 观察 12s 内网络请求 | 每 5s 轮询一次 GET `/api/extraction/jobs`；全部终态后轮询停止（再观察 12s 无新请求） | L5-D | P1 |
| TC-EXTRACT-010 | FR-EXTRACT-005 | 切 tab 暂停轮询 | running 任务存在；切换到其他 tab | 观察网络 | 离开 Tab3 期间无 jobs 轮询请求；切回恢复 | L5-D | P2 |
| TC-EXTRACT-011 | FR-EXTRACT-006 | 离线降级 | mock 对 extraction 返回 503（degraded） | 打开 Tab3 | 显示离线提示与重试按钮；其他 tab（检索/来源/图谱）不受影响可正常使用 | L5-D（degraded 场景） | P1 |
### 1.9 KG 知识图谱（FR-KG-001~008）
| 编号 | 对应 FR | 标题 | 前置条件 | 步骤 | 预期结果 | 测试层 | 优先级 |
|---|---|---|---|---|---|---|---|
| TC-KG-001 | FR-KG-001 | 答案图谱渲染（SVG 力导向） | mock normal 完成问答（graph 块 6 节点 4 边） | 打开工作台 Tab4 | 渲染手写 SVG 力导向图：节点圆点+标签；边为渐变线（#5E6AD2→#00D4FF）带关系名；节点与答案引用实体一致（与 graph 块节点 label 一致） | L5-D | P0 |
| TC-KG-002 | FR-KG-001 | 节点 >50 降级列表 | mock 构造 graph 块 >50 节点 | 打开 Tab4 | 自动降级为列表视图并提示；不渲染 SVG 画布 | L5-D | P1 |
| TC-KG-003 | FR-KG-002 | 节点着色与图例 | graph 块含 ≥2 种实体 type | 检查节点颜色与图例 | 按 type 着色（品牌+辅助紫+五相位色板）；底部图例存在且与节点颜色一一对应；同 type 在会话内颜色稳定（两次问答同一 type 颜色相同） | L5-D | P2 |
| TC-KG-004 | FR-KG-003 | 节点详情面板 | graph 块有节点；Neo4j 不可用（mock 无 kg 或 503） | 点击一个节点 | 侧滑详情面板显示实体属性（消息内已有属性）；**Neo4j 不可用时仍显示**（不报错、不空白） | L5-D | P1 |
| TC-KG-005 | FR-KG-003 | Neo4j 可用时拉全量属性 | Neo4j 可用（真实上游或 mock） | 点击节点 | 面板内额外数据来自 GET `/api/kg/entities/{name}`（发出该请求并渲染返回 properties） | L5-D | P2 |
| TC-KG-006 | FR-KG-004 | 实体搜索（精确/前缀） | mock normal | 1. 输入「OsSPL」；2. 回车 | GET `/api/kg/entities?q=OsSPL`；结果显示（精确或前缀匹配项）；响应 <1s（断言用时） | L5-D + L2 | P0 |
| TC-KG-007 | FR-KG-004 | 实体搜索选中渲染邻域 | 上一步结果 | 点击第一个结果 | 渲染该实体邻域（调 neighborhood 接口或 mock 数据）；画布更新为该实体为中心 | L5-D | P1 |
| TC-KG-008 | FR-KG-005 | 邻域深度切换 | mock normal | 1. 深度选 1（默认）观察请求；2. 深度选 2 观察 | 请求 depth 参数分别为 1/2；渲染节点数随之变化；深度 2 时显示「较慢」提示文案（两跳实测约 13s） | L5-D + L2 | P1 |
| TC-KG-009 | FR-KG-005 | 节点上限 200 截断 | mock 构造 >200 节点邻域 | 深度 2 展开 | 渲染节点数 ≤200；每跳按 paper_count/support_count 降序截断（L2 断言 BFF 截断逻辑）；超限有提示不卡死 | L2 + L5 | P1 |
| TC-KG-010 | FR-KG-006 | 缩放平移（桌面） | 画布有图 | 滚轮缩放；拖拽平移；双击 | 缩放范围 0.3×–3×；平移生效；双击复位到初始视图 | L5-D | P1 |
| TC-KG-011 | FR-KG-006 | 触摸缩放平移（移动端） | Mobile 视口；画布有图 | 双指捏合；单指拖拽 | 双指缩放与单指拖拽均可用且流畅（缩放比例改变；拖拽后画布位移） | L5-M（touch 模拟） | P1 |
| TC-KG-012 | FR-KG-007 | Neo4j 不可用降级 | mock kg 接口返回 503（或 BFF 断开 Neo4j） | 打开 Tab4 | 搜索框与邻域功能禁用并提示离线；**答案图谱照常渲染**；tab 不白屏 | L5-D | P1 |
| TC-KG-013 | FR-KG-008 | 空态 | 本次回答无 graph 数据（mock empty） | 打开 Tab4 | 提示「本次检索未产生图谱关系」+ 引导使用实体搜索；不显示空画布 | L5-D（empty 场景） | P2 |
### 1.10 RESP 响应式（FR-RESP-001~013）
| 编号 | 对应 FR | 标题 | 前置条件 | 步骤 | 预期结果 | 测试层 | 优先级 |
|---|---|---|---|---|---|---|---|
| TC-RESP-001 | FR-RESP-001 | Desktop ≥1280 完整三栏 | Desktop 1440×900 | 检查布局 | 三栏 260/1fr/380 可见（同 TC-SHELL-001） | L5-D | P0 |
| TC-RESP-002 | FR-RESP-002 | Laptop 1024–1279 左栏自动折叠 | 视口 1200×900 | 检查布局 | 三栏保留；左栏宽=64px（自动折叠，无需点击）；右栏=340px | L5-D（1200×900） | P1 |
| TC-RESP-003 | FR-RESP-003 | Tablet 左抽屉 | Tablet 768×1024 | 1. 检查布局（对话单栏铺满）；2. 点顶栏汉堡 | 左栏默认隐藏；点汉堡后左抽屉 260px 滑入 + scrim 遮罩；顶栏有汉堡按钮；右栏为右抽屉（顶栏工作台按钮带来源数角标）；点 scrim 或 Esc 关闭；动效 ease-out 300ms | L5-T | P0 |
| TC-RESP-004 | FR-RESP-004 | Mobile 单栏与工作台覆盖层 | Mobile 390×844 | 1. 检查布局；2. 点顶栏工作台按钮 | 顶栏=汉堡+标题+工作台按钮；对话铺满；作曲器吸底；工作台打开为**全屏覆盖层+顶部 tab 条**；底部状态栏隐藏（不可见）；四个 agent 点合并为顶栏一枚聚合状态点；点 scrim 或 Esc 关闭 | L5-M | P0 |
| TC-RESP-005 | FR-RESP-005 | viewport 与安全区 | Mobile（iPhone 视口） | 检查 meta 与 computed 值 | `<meta viewport>` 含 `viewport-fit=cover`；作曲器 padding-bottom = env(safe-area-inset-bottom)；顶栏 padding-top = env(safe-area-inset-top)（computed 值>0） | L5-M | P1 |
| TC-RESP-006 | FR-RESP-006 | iOS 输入放大规避 | Mobile 视口（<768px） | 检查 textarea computed font-size | font-size=16px；**未使用** maximum-scale=1（meta 内容断言） | L5-M | P0 |
| TC-RESP-007 | FR-RESP-007 | 悬停态触摸等价 | Mobile 视口；有来源条目与助手消息 | 检查来源外链图标、助手消息左缘线、会话条目样式 | 外链图标常驻可见；助手消息左缘线常驻；会话条目无 hover 底色依赖（点击反馈存在）；`@media (hover:hover)` 包裹 hover 样式（L3 样式断言） | L5-M | P1 |
| TC-RESP-008 | FR-RESP-008 | 触控目标 44px | Mobile 视口 | 检查会话条目、bench tab、模式 pill、图标按钮高度 | min-height ≥44px（computed） | L5-M | P1 |
| TC-RESP-009 | FR-RESP-009 | 100dvh 视口高度 | Mobile 视口 | 检查应用根容器高度 | 使用 100dvh（computed 解析为实际视口高度）；存在 100vh 回退声明（L3 样式断言） | L5-M | P2 |
| TC-RESP-010 | FR-RESP-010 | 虚拟键盘适配 | Mobile 视口；visualViewport 可模拟 | 聚焦 textarea（模拟键盘弹出压缩 visualViewport） | 消息区高度压缩并保持贴底；作曲器始终可见（boundingBox 在视口内） | L5-M | P1 |
| TC-RESP-011 | FR-RESP-011 | 表格横向滚动 | Mobile 视口；消息含宽表格 | 检查 md-table 容器 | 表格外层有横向滚动容器；容器 scrollWidth > clientWidth 时可横滑查看完整内容；字体字号未被压缩（computed font-size ≥ 桌面值） | L5-M | P1 |
| TC-RESP-012 | FR-RESP-012 | 移动端性能降级 | Mobile 视口 | 检查 aurora 与图谱上限 | aurora 模糊半径降低或 `--pa-aurora-opacity:0`；图谱节点数上限=30（构造 >30 节点 graph 块时渲染 ≤30 或降级列表） | L5-M | P2 |
| TC-RESP-013 | FR-RESP-013 | 手势（可选 N/A） | Mobile 视口 | 左缘右滑 | 若实现：右滑开会话抽屉、右滑关工作台覆盖层可用；**未实现不算缺陷，本条 N/A 记录** | L5-M（标记 N/A） | P2 |
### 1.11 HEALTH 健康与降级（FR-HEALTH-001~005）
| 编号 | 对应 FR | 标题 | 前置条件 | 步骤 | 预期结果 | 测试层 | 优先级 |
|---|---|---|---|---|---|---|---|
| TC-HEALTH-001 | FR-HEALTH-001 | 健康轮询 30s | 打开应用 | 观察 65s 内 GET `/api/health` 请求 | 挂载后立即一次；此后每 30s 一次（65s 内共 3 次） | L5-D | P1 |
| TC-HEALTH-002 | FR-HEALTH-001 | 轮询失败不弹窗 | mock `/api/health` 持续 500 | 打开应用 | 无错误弹窗/未捕获异常；状态栏健康标记显示降级态 | L5-D | P1 |
| TC-HEALTH-003 | FR-HEALTH-001 | 上游恢复 30s 内解禁 | mock 先 503 后恢复正常（场景切换） | 1. 观察禁用态；2. 切回正常场景；3. ≤30s 内观察 | 上游恢复后 ≤30s（一个轮询周期内）对应功能自动解禁，无需手动刷新 | L5-D | P1 |
| TC-HEALTH-004 | FR-HEALTH-002 | QA 不可用降级 | mock scenario=degraded（/api/qa/* 503） | 打开应用 | 作曲器禁用并显示「知识问答服务当前不可用」；历史会话仍可浏览（点击会话可看历史消息）；无错误弹窗 | L5-D（degraded 场景） | P0 |
| TC-HEALTH-005 | FR-HEALTH-002 | QA 降级信封语义 | mock degraded | 检查响应结构 | HTTP 503 + `{"ok":false,"error":{"code":"UPSTREAM_DOWN","message":"…","degraded":true}}`；前端按 degraded 处理（横幅/离线态）而非错误弹窗 | L2 + L5 | P0 |
| TC-HEALTH-006 | FR-HEALTH-003 | Neo4j 不可用降级 | mock kg 503 | 打开 Tab4 | 搜索/邻域禁用并提示离线；答案图谱照常渲染（同 TC-KG-012） | L5-D | P1 |
| TC-HEALTH-007 | FR-HEALTH-004 | 抽取不可用降级 | mock extraction 503 | 打开 Tab3 | 仅 Tab3 降级（离线提示+重试按钮）；其他 tab 正常（同 TC-EXTRACT-011） | L5-D | P1 |
| TC-HEALTH-008 | FR-HEALTH-005 | 网络中断提示与不自动重连 | 流式中断网（同 TC-CHAT-030） | 1. 断网；2. 恢复网络观察 | 提示「连接中断」+ 重试按钮；不自动重连；无重复 LLM 调用（Network 无自动新请求） | L5-D | P0 |
### 1.12 非功能要求（PRD §14）对照用例
| 编号 | 对应要求 | 标题 | 前置条件 | 步骤 | 预期结果 | 测试层 | 优先级 |
|---|---|---|---|---|---|---|---|
| TC-NFR-001 | 首屏可交互 | 桌面；mock normal | 打开应用并计时（performance.timing / Playwright 计时） | 桌面 <2s 可交互（首屏渲染+会话列表加载完成）；手机 <3s | L5-D / L5-M | P1 |
| TC-NFR-002 | 长任务反馈 | mock slow（长流） | 提问并采样 | 240s 内无静止 >5s 状态（同 TC-CHAT-029） | L5-D | P0 |
| TC-NFR-003 | Neo4j 凭据不下发 | 打开应用并抓取全部网络响应与 JS bundle 文本 | 浏览器侧任何响应/源码中不含 Neo4j 密码（<neo4j-password-in-.env> 等）与 bolt:// URI | L5-D + L3（bundle 扫描） | P0 |
| TC-NFR-004 | 零外网请求 | 打开应用并抓取全部网络请求 | 所有请求 host 均为 127.0.0.1（或部署域）；无 fonts.googleapis.com / CDN 域名请求 | L5-D | P1 |
| TC-NFR-005 | 浏览器兼容基线 | Chrome 110+/Firefox 110+/Safari 16+ | Playwright 三浏览器各跑冒烟 2 条 | 冒烟通过（页面加载 + AppShell 存在） | L5（chromium 常驻；firefox/webkit 每轮按需） | P1 |
### 1.13 E2E 主线场景（TEST_PLAN §6 九条主线 × 三档视口）
编号规则 `TC-E2E-<主线号>-<视口>`，M=Mobile(390×844)｜T=Tablet(768×1024)｜D=Desktop(1440×900)。每条为一条用例，步骤与预期为该视口下的完整流程断言。全量用例在后续轮次落为 spec 文件；本波仅实现 TC-E2E-SMOKE-01/02（§1.14）。
| 编号 | 主线 | 视口 | 步骤 | 预期结果 | 优先级 |
|---|---|---|---|---|---|
| TC-E2E-01-M | 1 主流程 | M | 新建会话 → 问答模式提问 → 观察流水线五相位推进 → 等待答案揭示（含表格）→ 来源 tab 有数据 → 图谱 tab 渲染 → 刷新后历史恢复 | 五相位按序推进（waiting→running→done）；答案揭示并含 md-table；Tab2 条目数=source_count；Tab4 SVG 图渲染；刷新后该会话消息完整恢复 | P0 |
| TC-E2E-01-T | 1 主流程 | T | 同 TC-E2E-01-M（左栏经抽屉进入会话） | 同 TC-E2E-01-M；另断言左/右抽屉开合正常 | P0 |
| TC-E2E-01-D | 1 主流程 | D | 同 TC-E2E-01-M | 同 TC-E2E-01-M | P0 |
| TC-E2E-02-M | 2 检索模式 | M | 检索模式提问 → 等待完成 → 检查消息块 | 无 text 答案块；仅来源数据；请求体 use_llm=false 且端点 `/api/qa/search` | P0 |
| TC-E2E-02-T | 2 检索模式 | T | 同 TC-E2E-02-M | 同 TC-E2E-02-M | P0 |
| TC-E2E-02-D | 2 检索模式 | D | 同 TC-E2E-02-M | 同 TC-E2E-02-M | P0 |
| TC-E2E-03-M | 3 错误与重试 | M | scenario=error 下提问 → 观察错误；scenario=degraded 下观察作曲器 | error：错误文案展示+重试按钮可用（点击后重新发起）；degraded：作曲器禁用+「知识问答服务当前不可用」提示 | P0 |
| TC-E2E-03-T | 3 错误与重试 | T | 同 TC-E2E-03-M | 同 TC-E2E-03-M | P0 |
| TC-E2E-03-D | 3 错误与重试 | D | 同 TC-E2E-03-M | 同 TC-E2E-03-M | P0 |
| TC-E2E-04-M | 4 会话管理 | M | 新建/切换/重命名/删除/搜索过滤/观察分组 | 每步按 SESSION 用例断言：新建+1、切换加载历史、重命名同步顶栏、删除需确认且列表-1、搜索实时过滤、分组标签正确 | P0 |
| TC-E2E-04-T | 4 会话管理 | T | 同 TC-E2E-04-M | 同 TC-E2E-04-M | P0 |
| TC-E2E-04-D | 4 会话管理 | D | 同 TC-E2E-04-M | 同 TC-E2E-04-M | P0 |
| TC-E2E-05-M | 5 中断 | M | 流式中途切会话 → 切回原会话 | 原会话置 error 且标注「已中断」；已收到块保留；无悬挂流 | P0 |
| TC-E2E-05-T | 5 中断 | T | 同 TC-E2E-05-M | 同 TC-E2E-05-M | P0 |
| TC-E2E-05-D | 5 中断 | D | 同 TC-E2E-05-M | 同 TC-E2E-05-M | P0 |
| TC-E2E-06-M | 6 主题 | M | 深浅切换 → 刷新 | 切换即时生效（dataset.theme 与 localStorage）；刷新后保持 | P0 |
| TC-E2E-06-T | 6 主题 | T | 同 TC-E2E-06-M | 同 TC-E2E-06-M | P0 |
| TC-E2E-06-D | 6 主题 | D | 同 TC-E2E-06-M | 同 TC-E2E-06-M | P0 |
| TC-E2E-07-M | 7 图谱 | M | 实体搜索 → 选中渲染邻域 → 节点详情 → 双指缩放 + 单指拖拽 | 搜索结果渲染；邻域画布更新；详情面板打开；触摸缩放/拖拽生效 | P1 |
| TC-E2E-07-T | 7 图谱 | T | 同 TC-E2E-07-M（触摸为单指拖拽+双指捏合） | 同 TC-E2E-07-M | P1 |
| TC-E2E-07-D | 7 图谱 | D | 实体搜索 → 邻域 → 详情 → 滚轮缩放/拖拽平移/双击复位 | 同 TC-E2E-07-M（桌面交互） | P1 |
| TC-E2E-08-M | 8 抽取 | M | 任务列表 → 详情展开 → 运行日志；mock 下上传 PDF | 列表渲染+百分比正确；详情字段齐全；日志滚动；上传成功返回 job_id 并刷新列表 | P1 |
| TC-E2E-08-T | 8 抽取 | T | 同 TC-E2E-08-M | 同 TC-E2E-08-M | P1 |
| TC-E2E-08-D | 8 抽取 | D | 同 TC-E2E-08-M | 同 TC-E2E-08-M | P1 |
| TC-E2E-09-M | 9 响应式专项 | M | 布局断言（FR-RESP-004 全项）+ 移动端专项：安全区、16px 输入、44px 触控、表格横滚、键盘适配 | 顶栏=汉堡+标题+工作台按钮；作曲器吸底；工作台全屏覆盖层+tab 条；底栏隐藏；聚合状态点存在；safe-area padding 生效；textarea 16px；触控目标 ≥44px；宽表格横滚；聚焦时作曲器可见 | P0 |
| TC-E2E-09-T | 9 响应式专项 | T | 布局断言（FR-RESP-003 全项：抽屉/scrim/角标） | 单栏铺满；左右抽屉开合+scrim+Esc 关闭；汉堡与工作台按钮带来源数角标 | P0 |
| TC-E2E-09-D | 9 响应式专项 | D | 布局断言（FR-RESP-001/002：1280 边界与 1200 折叠） | 1440 完整三栏；1200 左栏自动折叠 64px 右栏 340px | P0 |
### 1.14 E2E 冒烟骨架用例（本波已实现）
| 编号 | 对应 FR | 标题 | 前置条件 | 步骤 | 预期结果 | 测试层 | 优先级 |
|---|---|---|---|---|---|---|---|
| TC-E2E-SMOKE-01 | FR-SHELL-007（页面加载） | 页面加载冒烟 | dev server 5180 可用；三档视口各跑一次 | 打开 `/` | title 含「海古纪 PlantAI」；`#app` 可见且内容非空 | L5-M/T/D | P0 |
| TC-E2E-SMOKE-02 | FR-SHELL-001/003/FR-RESP-004（壳层；移动端底栏隐藏断言） | AppShell 存在冒烟 | 同上 | 打开 `/` | 存在 `.app-shell` 时：shell/top-bar 可见且无占位符；status-bar 在 ≥768px 视口可见、移动端隐藏（FR-RESP-004）；M0 占位期（无 .app-shell）回退：`.app-shell-placeholder` 可见 | L5-M/T/D | P0 |
---
## 2. 追溯矩阵
### 2.1 统计总览
| 项 | 值 |
|---|---|
| FR 总数 | 81 |
| 已覆盖 FR | 81 |
| 未覆盖清单 | （空） |
| TC 总数 | 179 |
| 孤儿 TC（无 FR 映射） | 0 |
| 主门禁（FR→TC 且 TC→FR 双向完整） | 81/81 = 100% |
### 2.2 FR→TC 矩阵（每个 FR 列出其全部 TC）
| FR | 用例 |
|---|---|
| FR-SHELL-001 | TC-SHELL-001, TC-SHELL-002, TC-E2E-SMOKE-02, TC-E2E-09-D |
| FR-SHELL-002 | TC-SHELL-003, TC-SHELL-004, TC-SHELL-005 |
| FR-SHELL-003 | TC-SHELL-006, TC-SHELL-007, TC-E2E-SMOKE-02 |
| FR-SHELL-004 | TC-SHELL-008, TC-SHELL-009 |
| FR-SHELL-005 | TC-SHELL-010 |
| FR-SHELL-006 | TC-SHELL-011, TC-SHELL-012 |
| FR-SHELL-007 | TC-SHELL-013, TC-SHELL-014, TC-SHELL-015, TC-E2E-SMOKE-01 |
| FR-THEME-001 | TC-THEME-001, TC-THEME-002 |
| FR-THEME-002 | TC-THEME-003, TC-THEME-004, TC-E2E-06-M, TC-E2E-06-T, TC-E2E-06-D |
| FR-THEME-003 | TC-THEME-005 |
| FR-THEME-004 | TC-THEME-006 |
| FR-THEME-005 | TC-THEME-007, TC-THEME-008 |
| FR-THEME-006 | TC-THEME-009, TC-THEME-010 |
| FR-SESSION-001 | TC-SESSION-001, TC-SESSION-002, TC-SESSION-003, TC-E2E-04-M, TC-E2E-04-T, TC-E2E-04-D |
| FR-SESSION-002 | TC-SESSION-004 |
| FR-SESSION-003 | TC-SESSION-005, TC-SESSION-006, TC-E2E-04-M, TC-E2E-04-T, TC-E2E-04-D |
| FR-SESSION-004 | TC-SESSION-007, TC-SESSION-008, TC-E2E-04-M, TC-E2E-04-T, TC-E2E-04-D |
| FR-SESSION-005 | TC-SESSION-009, TC-E2E-04-M, TC-E2E-04-T, TC-E2E-04-D |
| FR-SESSION-006 | TC-SESSION-010, TC-SESSION-011, TC-E2E-04-M, TC-E2E-04-T, TC-E2E-04-D |
| FR-SESSION-007 | TC-SESSION-012, TC-SESSION-013, TC-SESSION-014, TC-SESSION-015, TC-E2E-04-M, TC-E2E-04-T, TC-E2E-04-D |
| FR-SESSION-008 | TC-SESSION-016, TC-SESSION-017 |
| FR-SESSION-009 | TC-SESSION-018 |
| FR-CHAT-001 | TC-CHAT-001, TC-CHAT-002 |
| FR-CHAT-002 | TC-CHAT-003 |
| FR-CHAT-003 | TC-CHAT-004, TC-CHAT-005 |
| FR-CHAT-004 | TC-CHAT-006, TC-CHAT-007 |
| FR-CHAT-005 | TC-CHAT-012 |
| FR-CHAT-006 | TC-CHAT-013, TC-CHAT-014, TC-CHAT-015, TC-CHAT-016, TC-E2E-02-M, TC-E2E-02-T, TC-E2E-02-D |
| FR-CHAT-007 | TC-CHAT-017, TC-CHAT-018, TC-CHAT-019, TC-CHAT-020 |
| FR-CHAT-008 | TC-CHAT-023, TC-CHAT-024, TC-CHAT-025, TC-CHAT-026, TC-CHAT-027, TC-CHAT-028, TC-CHAT-029, TC-CHAT-030, TC-CHAT-031, TC-CHAT-032, TC-CHAT-033, TC-E2E-01-M, TC-E2E-01-T, TC-E2E-01-D, TC-E2E-05-M, TC-E2E-05-T, TC-E2E-05-D |
| FR-CHAT-009 | TC-CHAT-034, TC-CHAT-035 |
| FR-CHAT-010 | TC-CHAT-036, TC-CHAT-037 |
| FR-CHAT-011 | TC-CHAT-021, TC-CHAT-022, TC-E2E-05-M, TC-E2E-05-T, TC-E2E-05-D |
| FR-CHAT-012 | TC-CHAT-038, TC-CHAT-039, TC-CHAT-040, TC-CHAT-041, TC-E2E-03-M, TC-E2E-03-T, TC-E2E-03-D |
| FR-CHAT-013 | TC-CHAT-042, TC-CHAT-043, TC-E2E-01-M, TC-E2E-01-T, TC-E2E-01-D |
| FR-CHAT-014 | TC-CHAT-008, TC-CHAT-009, TC-CHAT-010 |
| FR-CHAT-015 | TC-CHAT-011 |
| FR-RETRIEVAL-001 | TC-RETRIEVAL-001, TC-RETRIEVAL-002 |
| FR-RETRIEVAL-002 | TC-RETRIEVAL-003 |
| FR-RETRIEVAL-003 | TC-RETRIEVAL-004 |
| FR-RETRIEVAL-004 | TC-RETRIEVAL-005 |
| FR-RETRIEVAL-005 | TC-RETRIEVAL-006 |
| FR-RETRIEVAL-006 | TC-RETRIEVAL-007 |
| FR-SOURCE-001 | TC-SOURCE-001, TC-SOURCE-002 |
| FR-SOURCE-002 | TC-SOURCE-003 |
| FR-SOURCE-003 | TC-SOURCE-004 |
| FR-SOURCE-004 | TC-SOURCE-005 |
| FR-SOURCE-005 | TC-SOURCE-006 |
| FR-SOURCE-006 | TC-SOURCE-007 |
| FR-EXTRACT-001 | TC-EXTRACT-001, TC-E2E-08-M, TC-E2E-08-T, TC-E2E-08-D |
| FR-EXTRACT-002 | TC-EXTRACT-002, TC-EXTRACT-003, TC-E2E-08-M, TC-E2E-08-T, TC-E2E-08-D |
| FR-EXTRACT-003 | TC-EXTRACT-004, TC-E2E-08-M, TC-E2E-08-T, TC-E2E-08-D |
| FR-EXTRACT-004 | TC-EXTRACT-005, TC-EXTRACT-006, TC-EXTRACT-007, TC-EXTRACT-008, TC-E2E-08-M, TC-E2E-08-T, TC-E2E-08-D |
| FR-EXTRACT-005 | TC-EXTRACT-009, TC-EXTRACT-010 |
| FR-EXTRACT-006 | TC-EXTRACT-011 |
| FR-KG-001 | TC-KG-001, TC-KG-002 |
| FR-KG-002 | TC-KG-003 |
| FR-KG-003 | TC-KG-004, TC-KG-005 |
| FR-KG-004 | TC-KG-006, TC-KG-007, TC-E2E-07-M, TC-E2E-07-T, TC-E2E-07-D |
| FR-KG-005 | TC-KG-008, TC-KG-009, TC-E2E-07-M, TC-E2E-07-T, TC-E2E-07-D |
| FR-KG-006 | TC-KG-010, TC-KG-011, TC-E2E-07-M, TC-E2E-07-T, TC-E2E-07-D |
| FR-KG-007 | TC-KG-012 |
| FR-KG-008 | TC-KG-013 |
| FR-RESP-001 | TC-RESP-001, TC-E2E-09-D |
| FR-RESP-002 | TC-RESP-002, TC-E2E-09-D |
| FR-RESP-003 | TC-RESP-003, TC-E2E-09-T |
| FR-RESP-004 | TC-RESP-004, TC-E2E-09-M, TC-E2E-SMOKE-02 |
| FR-RESP-005 | TC-RESP-005, TC-E2E-09-M |
| FR-RESP-006 | TC-RESP-006, TC-E2E-09-M |
| FR-RESP-007 | TC-RESP-007, TC-E2E-09-M |
| FR-RESP-008 | TC-RESP-008, TC-E2E-09-M |
| FR-RESP-009 | TC-RESP-009, TC-E2E-09-M |
| FR-RESP-010 | TC-RESP-010, TC-E2E-09-M |
| FR-RESP-011 | TC-RESP-011, TC-E2E-09-M |
| FR-RESP-012 | TC-RESP-012, TC-E2E-09-M |
| FR-RESP-013 | TC-RESP-013（N/A 可选） |
| FR-HEALTH-001 | TC-HEALTH-001, TC-HEALTH-002, TC-HEALTH-003 |
| FR-HEALTH-002 | TC-HEALTH-004, TC-HEALTH-005, TC-E2E-03-M, TC-E2E-03-T, TC-E2E-03-D |
| FR-HEALTH-003 | TC-HEALTH-006, TC-KG-012 |
| FR-HEALTH-004 | TC-HEALTH-007, TC-EXTRACT-011 |
| FR-HEALTH-005 | TC-HEALTH-008, TC-CHAT-030 |
> 非功能要求（PRD §14，非 FR 编号）由 TC-NFR-001~005 覆盖：首屏性能（TC-NFR-001）、长任务反馈（TC-NFR-002）、凭据安全（TC-NFR-003）、零外网（TC-NFR-004）、浏览器兼容（TC-NFR-005）。
### 2.3 TC→FR 矩阵（每条 TC 列出其全部 FR，证明无孤儿）
| TC | FR |
|---|---|
| TC-SHELL-001 | FR-SHELL-001 |
| TC-SHELL-002 | FR-SHELL-001 |
| TC-SHELL-003 | FR-SHELL-002 |
| TC-SHELL-004 | FR-SHELL-002 |
| TC-SHELL-005 | FR-SHELL-002 |
| TC-SHELL-006 | FR-SHELL-003 |
| TC-SHELL-007 | FR-SHELL-003 |
| TC-SHELL-008 | FR-SHELL-004 |
| TC-SHELL-009 | FR-SHELL-004 |
| TC-SHELL-010 | FR-SHELL-005 |
| TC-SHELL-011 | FR-SHELL-006 |
| TC-SHELL-012 | FR-SHELL-006 |
| TC-SHELL-013 | FR-SHELL-007 |
| TC-SHELL-014 | FR-SHELL-007 |
| TC-SHELL-015 | FR-SHELL-007 |
| TC-THEME-001 | FR-THEME-001 |
| TC-THEME-002 | FR-THEME-001 |
| TC-THEME-003 | FR-THEME-002 |
| TC-THEME-004 | FR-THEME-002 |
| TC-THEME-005 | FR-THEME-003 |
| TC-THEME-006 | FR-THEME-004 |
| TC-THEME-007 | FR-THEME-005 |
| TC-THEME-008 | FR-THEME-005 |
| TC-THEME-009 | FR-THEME-006 |
| TC-THEME-010 | FR-THEME-006 |
| TC-SESSION-001 | FR-SESSION-001 |
| TC-SESSION-002 | FR-SESSION-001 |
| TC-SESSION-003 | FR-SESSION-001 |
| TC-SESSION-004 | FR-SESSION-002 |
| TC-SESSION-005 | FR-SESSION-003 |
| TC-SESSION-006 | FR-SESSION-003 |
| TC-SESSION-007 | FR-SESSION-004 |
| TC-SESSION-008 | FR-SESSION-004 |
| TC-SESSION-009 | FR-SESSION-005 |
| TC-SESSION-010 | FR-SESSION-006 |
| TC-SESSION-011 | FR-SESSION-006 |
| TC-SESSION-012 | FR-SESSION-007 |
| TC-SESSION-013 | FR-SESSION-007 |
| TC-SESSION-014 | FR-SESSION-007 |
| TC-SESSION-015 | FR-SESSION-007 |
| TC-SESSION-016 | FR-SESSION-008 |
| TC-SESSION-017 | FR-SESSION-008 |
| TC-SESSION-018 | FR-SESSION-009 |
| TC-CHAT-001 | FR-CHAT-001 |
| TC-CHAT-002 | FR-CHAT-001 |
| TC-CHAT-003 | FR-CHAT-002 |
| TC-CHAT-004 | FR-CHAT-003 |
| TC-CHAT-005 | FR-CHAT-003 |
| TC-CHAT-006 | FR-CHAT-004 |
| TC-CHAT-007 | FR-CHAT-004 |
| TC-CHAT-008 | FR-CHAT-014 |
| TC-CHAT-009 | FR-CHAT-014 |
| TC-CHAT-010 | FR-CHAT-014 |
| TC-CHAT-011 | FR-CHAT-015 |
| TC-CHAT-012 | FR-CHAT-005 |
| TC-CHAT-013 | FR-CHAT-006 |
| TC-CHAT-014 | FR-CHAT-006 |
| TC-CHAT-015 | FR-CHAT-006 |
| TC-CHAT-016 | FR-CHAT-006 |
| TC-CHAT-017 | FR-CHAT-007 |
| TC-CHAT-018 | FR-CHAT-007 |
| TC-CHAT-019 | FR-CHAT-007 |
| TC-CHAT-020 | FR-CHAT-007 |
| TC-CHAT-021 | FR-CHAT-011 |
| TC-CHAT-022 | FR-CHAT-011 |
| TC-CHAT-023 | FR-CHAT-008 |
| TC-CHAT-024 | FR-CHAT-008 |
| TC-CHAT-025 | FR-CHAT-008 |
| TC-CHAT-026 | FR-CHAT-008 |
| TC-CHAT-027 | FR-CHAT-008 |
| TC-CHAT-028 | FR-CHAT-008 |
| TC-CHAT-029 | FR-CHAT-008 |
| TC-CHAT-030 | FR-CHAT-008, FR-HEALTH-005 |
| TC-CHAT-031 | FR-CHAT-008 |
| TC-CHAT-032 | FR-CHAT-008 |
| TC-CHAT-033 | FR-CHAT-008 |
| TC-CHAT-034 | FR-CHAT-009 |
| TC-CHAT-035 | FR-CHAT-009 |
| TC-CHAT-036 | FR-CHAT-010 |
| TC-CHAT-037 | FR-CHAT-010 |
| TC-CHAT-038 | FR-CHAT-012 |
| TC-CHAT-039 | FR-CHAT-012 |
| TC-CHAT-040 | FR-CHAT-012 |
| TC-CHAT-041 | FR-CHAT-012 |
| TC-CHAT-042 | FR-CHAT-013 |
| TC-CHAT-043 | FR-CHAT-013 |
| TC-RETRIEVAL-001 | FR-RETRIEVAL-001 |
| TC-RETRIEVAL-002 | FR-RETRIEVAL-001 |
| TC-RETRIEVAL-003 | FR-RETRIEVAL-002 |
| TC-RETRIEVAL-004 | FR-RETRIEVAL-003 |
| TC-RETRIEVAL-005 | FR-RETRIEVAL-004 |
| TC-RETRIEVAL-006 | FR-RETRIEVAL-005 |
| TC-RETRIEVAL-007 | FR-RETRIEVAL-006 |
| TC-SOURCE-001 | FR-SOURCE-001 |
| TC-SOURCE-002 | FR-SOURCE-001 |
| TC-SOURCE-003 | FR-SOURCE-002 |
| TC-SOURCE-004 | FR-SOURCE-003 |
| TC-SOURCE-005 | FR-SOURCE-004 |
| TC-SOURCE-006 | FR-SOURCE-005 |
| TC-SOURCE-007 | FR-SOURCE-006 |
| TC-EXTRACT-001 | FR-EXTRACT-001 |
| TC-EXTRACT-002 | FR-EXTRACT-002 |
| TC-EXTRACT-003 | FR-EXTRACT-002 |
| TC-EXTRACT-004 | FR-EXTRACT-003 |
| TC-EXTRACT-005 | FR-EXTRACT-004 |
| TC-EXTRACT-006 | FR-EXTRACT-004 |
| TC-EXTRACT-007 | FR-EXTRACT-004 |
| TC-EXTRACT-008 | FR-EXTRACT-004 |
| TC-EXTRACT-009 | FR-EXTRACT-005 |
| TC-EXTRACT-010 | FR-EXTRACT-005 |
| TC-EXTRACT-011 | FR-EXTRACT-006, FR-HEALTH-004 |
| TC-KG-001 | FR-KG-001 |
| TC-KG-002 | FR-KG-001 |
| TC-KG-003 | FR-KG-002 |
| TC-KG-004 | FR-KG-003 |
| TC-KG-005 | FR-KG-003 |
| TC-KG-006 | FR-KG-004 |
| TC-KG-007 | FR-KG-004 |
| TC-KG-008 | FR-KG-005 |
| TC-KG-009 | FR-KG-005 |
| TC-KG-010 | FR-KG-006 |
| TC-KG-011 | FR-KG-006 |
| TC-KG-012 | FR-KG-007, FR-HEALTH-003 |
| TC-KG-013 | FR-KG-008 |
| TC-RESP-001 | FR-RESP-001 |
| TC-RESP-002 | FR-RESP-002 |
| TC-RESP-003 | FR-RESP-003 |
| TC-RESP-004 | FR-RESP-004 |
| TC-RESP-005 | FR-RESP-005 |
| TC-RESP-006 | FR-RESP-006 |
| TC-RESP-007 | FR-RESP-007 |
| TC-RESP-008 | FR-RESP-008 |
| TC-RESP-009 | FR-RESP-009 |
| TC-RESP-010 | FR-RESP-010 |
| TC-RESP-011 | FR-RESP-011 |
| TC-RESP-012 | FR-RESP-012 |
| TC-RESP-013 | FR-RESP-013（N/A 可选） |
| TC-HEALTH-001 | FR-HEALTH-001 |
| TC-HEALTH-002 | FR-HEALTH-001 |
| TC-HEALTH-003 | FR-HEALTH-001 |
| TC-HEALTH-004 | FR-HEALTH-002 |
| TC-HEALTH-005 | FR-HEALTH-002 |
| TC-HEALTH-006 | FR-HEALTH-003 |
| TC-HEALTH-007 | FR-HEALTH-004 |
| TC-HEALTH-008 | FR-HEALTH-005 |
| TC-NFR-001 | PRD §14 首屏可交互（非 FR） |
| TC-NFR-002 | PRD §14 长任务反馈（非 FR） |
| TC-NFR-003 | PRD §14 数据安全（非 FR） |
| TC-NFR-004 | PRD §14 离线容忍（非 FR） |
| TC-NFR-005 | PRD §14 浏览器支持（非 FR） |
| TC-E2E-01-M | FR-CHAT-008, FR-CHAT-013 |
| TC-E2E-01-T | FR-CHAT-008, FR-CHAT-013 |
| TC-E2E-01-D | FR-CHAT-008, FR-CHAT-013 |
| TC-E2E-02-M | FR-CHAT-006 |
| TC-E2E-02-T | FR-CHAT-006 |
| TC-E2E-02-D | FR-CHAT-006 |
| TC-E2E-03-M | FR-CHAT-012, FR-HEALTH-002 |
| TC-E2E-03-T | FR-CHAT-012, FR-HEALTH-002 |
| TC-E2E-03-D | FR-CHAT-012, FR-HEALTH-002 |
| TC-E2E-04-M | FR-SESSION-001, FR-SESSION-003, FR-SESSION-004, FR-SESSION-005, FR-SESSION-006, FR-SESSION-007 |
| TC-E2E-04-T | FR-SESSION-001, FR-SESSION-003, FR-SESSION-004, FR-SESSION-005, FR-SESSION-006, FR-SESSION-007 |
| TC-E2E-04-D | FR-SESSION-001, FR-SESSION-003, FR-SESSION-004, FR-SESSION-005, FR-SESSION-006, FR-SESSION-007 |
| TC-E2E-05-M | FR-CHAT-008, FR-CHAT-011 |
| TC-E2E-05-T | FR-CHAT-008, FR-CHAT-011 |
| TC-E2E-05-D | FR-CHAT-008, FR-CHAT-011 |
| TC-E2E-06-M | FR-THEME-002 |
| TC-E2E-06-T | FR-THEME-002 |
| TC-E2E-06-D | FR-THEME-002 |
| TC-E2E-07-M | FR-KG-004, FR-KG-005, FR-KG-006 |
| TC-E2E-07-T | FR-KG-004, FR-KG-005, FR-KG-006 |
| TC-E2E-07-D | FR-KG-004, FR-KG-005, FR-KG-006 |
| TC-E2E-08-M | FR-EXTRACT-001, FR-EXTRACT-002, FR-EXTRACT-003, FR-EXTRACT-004 |
| TC-E2E-08-T | FR-EXTRACT-001, FR-EXTRACT-002, FR-EXTRACT-003, FR-EXTRACT-004 |
| TC-E2E-08-D | FR-EXTRACT-001, FR-EXTRACT-002, FR-EXTRACT-003, FR-EXTRACT-004 |
| TC-E2E-09-M | FR-RESP-004, FR-RESP-005, FR-RESP-006, FR-RESP-007, FR-RESP-008, FR-RESP-009, FR-RESP-010, FR-RESP-011, FR-RESP-012 |
| TC-E2E-09-T | FR-RESP-003 |
| TC-E2E-09-D | FR-RESP-001, FR-RESP-002, FR-SHELL-001 |
| TC-E2E-SMOKE-01 | FR-SHELL-007 |
| TC-E2E-SMOKE-02 | FR-SHELL-001, FR-SHELL-003, FR-RESP-004 |
### 2.4 模块分布
| 模块 | TC 条数（含 E2E 拆分） |
|---|---|
| SHELL | 15 |
| THEME | 10 |
| SESSION | 18 |
| CHAT | 43 |
| RETRIEVAL | 7 |
| SOURCE | 7 |
| EXTRACT | 11 |
| KG | 13 |
| RESP | 13 |
| HEALTH | 8 |
| NFR（PRD §14） | 5 |
| E2E 主线/冒烟 | 29 |
| **合计** | **179** |
---
## 3. 执行说明
### 3.1 分层运行命令（TEST_PLAN §7）
```bash
# L1 后端单元（远端 plantai-bff conda 环境；A 组自测，T 复跑确认）
cd backend && pytest tests -m unit -q
# L2 后端接口（respx mock 上游；用例见 L2 标注项）
cd backend && pytest tests -m api -q
# L2s 上游 smoke（仅集成点 M2 与验收前手动各跑一次；远端本机执行）
bash tests/smoke_upstreams.sh
# L3+L4 前端（vitest；远端 frontend/）
cd frontend && npx vitest run
# L5 E2E（三档视口；dev server 由 playwright webServer 自动拉起或复用已启动的 5180）
cd frontend && npx playwright test # playwright 未安装时：npx playwright@1.49.1 test
```
### 3.2 Mock 场景使用（ARCHITECTURE.md §6）
mock server：`python backend/mock/mock_server.py`（127.0.0.1:8099），场景经查询参数或请求头 `X-Mock-Scenario` 切换。E2E 中由测试代码在请求头注入或 mock 路由拦截实现：
| scenario | 用途 | 使用用例示例 |
|---|---|---|
| `normal` | 主流程（SSE 回放 12 帧真实时序） | TC-CHAT-023~033、TC-E2E-01/02 |
| `empty` | 空结果（source_count=0、answer 为「未找到…」fallback） | TC-SOURCE-007、TC-KG-013、TC-CHAT-027（空态分支） |
| `slow` | 慢响应/长流（持续视觉反馈断言） | TC-CHAT-021、TC-CHAT-029、TC-NFR-002 |
| `error` | 上游故障（502 UPSTREAM_ERROR） | TC-CHAT-039、TC-E2E-03 |
| `degraded` | QA 不可用（503 UPSTREAM_DOWN） | TC-HEALTH-004/005、TC-EXTRACT-011、TC-KG-012、TC-E2E-03 |
注意：mock 的场景切换仅覆盖 QA 端点；extraction/kg 的 503 降级在 E2E 中用 Playwright route 拦截模拟。
### 3.3 真实上游注意事项（DISCOVERY.md）
1. **QA LLM 402 降级（最重要）**：上游 DeepSeek 余额不足，`degraded_execution=true`，answer 为 fallback 证据列表而非自然语言答案。**涉及自然语言答案内容的断言（TC-CHAT-027 等，标注「依赖充值」）在充值前执行时只验结构不断内容**：answer 字段存在、text 块渲染、fallback 文案可见即可。检索/证据/来源/图谱断言（sources、chains、graph 块）不受 402 影响，照常执行。
2. **耗时**：单次 search ≈92s、stream ≈37–38s（DISCOVERY.md §4/§6.8）。真实上游的 L5/L6 用例需把 expect 超时调到 ≥180s（search 模式）/≥120s（chat 模式）；BFF 读超时 300s。
3. **上游只绑 127.0.0.1**：L2s 必须在远端本机跑；Mac 本地经 SSH 隧道跑（见脚本注释）。
4. **Neo4j 当选实例** direct-v1-full（bolt 18788 / HTTP 18575），schema canonical；`/api/kg/*` 依赖 BFF 的 Bolt 直连（上游 kg 路由已死，不探测）。
5. **抽取上游**：8000 正常；7900 为容器（jobs 空属正常，BFF 只在 8000 不可达时回落）；新上传任务可能因 MinerU 路径缺失 failed——TC-EXTRACT-008 就是断言该错误文案路径。
### 3.4 L5 运行环境一次性准备（已验证）
- **Node 18（远端）**：`npx playwright@1.49.1 test` 首次运行自动下载 chromium 1148（≈150MB）。实测 CDN 可达（Mac 直连 2.9MB/s）。
- **`@playwright/test` 模块解析**：spec 文件位于 `tests/e2e/`，在 `frontend/node_modules` 之外，Node 默认解析路径找不到 `@playwright/test`，会报 `ERR_MODULE_NOT_FOUND`。**已在 Mac 本地验证**（playwright 1.61.1 实测复现；1.49.1 CJS 变换同样回退到默认 ESM 解析，机制相同）。运行处须一次性执行（不污染任何 agent 归属文件——`node_modules` 不入库不同步）：
```bash
# 远端，一次性
cd /home/xzq/5090/teamWorkspace/zh/PlantAI-rag-new
ln -sfn frontend/node_modules node_modules # 若目录已存在先确认其内容再覆盖
cd frontend && npm install --save-dev @playwright/test@1.49.1 # 写入 package.json 需 PM 裁决，见 §5 未决问题 4
```
Mac 本地本次验证的等价做法（未改动 `frontend/package.json`）：安装到 `/tmp/pw-test-runner` 后 `ln -sfn /tmp/pw-test-runner/node_modules/@playwright/test frontend/node_modules/@playwright/test`，再 `ln -sfn frontend/node_modules <repo>/node_modules`，以 playwright 1.61.1（匹配本机已缓存 chromium-1228）跑通 6/6。
- **本地 Node 26 已知问题**：playwright 1.49.1 的 `module.register()` loader 在 Node 26 + 系统高负载下启动极慢/挂起；远端 Node 18 无此问题。本地验证用 playwright 1.61.1 替代。
- **本机验证结果（M0 冒烟）**：`6 passed`（mobile/tablet/desktop × 2 条冒烟）。冒烟断言对 B1 已交付的 AppShell 走真实分支（`.app-shell/.top-bar/.status-bar`，移动端 `.status-bar` 按 FR-RESP-004 断言隐藏），M0 占位期走占位回退分支。
---
## 4. E2E 骨架交付说明（本波）
| 文件 | 内容 |
|---|---|
| `frontend/playwright.config.js` | 三项目 mobile（iPhone 14 390×844，触摸+UA）/tablet（iPad 768×1024）/desktop（1440×900）；chromium；baseURL `http://127.0.0.1:5180`；webServer `npm run dev -- --strictPort`（已有 dev 复用）；失败保留 trace/screenshot |
| `tests/e2e/smoke.spec.js` | 2 条冒烟（TC-E2E-SMOKE-01/02），三档视口各跑一次共 6 条结果。AppShell 断言带 M0 占位回退（B1 交付后自动走真实分支，无需改测试） |
| `tests/smoke_upstreams.sh` | L2s 冒烟：QA 7920 health/info、抽取 8000 health/jobs、7900 health、Neo4j（HTTP 18575 Cypher 只读查询）、mock 8099 health；PASS/FAIL 表 + 非零退出码；支持 `QA_URL/EXTRACT_URL/ALT_URL/MOCK_URL/NEO4J_HTTP/TIMEOUT` 环境变量覆盖 |
全量 L1–L5 执行从 M2 集成后开始（TEST_PLAN §5 轮次纪律）；完整 E2E 用例（TC-E2E-01~09）按本文件在后续轮次落为 spec 文件。
## 5. 未决问题（提请 PM）
1. 若干 UI 类断言依赖 UI_SPEC 类名（如 `agent-dot-item`、`p-step`）；若 B1 实现时类名有偏差，需按 UI_SPEC §5.3 对齐（T 不自行改用例契约）。
2. TC-EXTRACT-005/007（上传进度/超限）依赖 B2/B3 上传 UI 与 50MB 校验落点（前端或 BFF）——已按「前端拦截或 422」双路径写预期，无需改用例。
3. TC-KG 节点详情在 Neo4j 不可用时的属性来源为「消息内 graph 块已有属性」；graph 块节点若不含属性字段，该断言在实现时需以实际块结构微调步骤（预期语义不变）。
4. **L5 依赖安装需 PM 裁决**：`tests/e2e/` 的 spec 需要解析 `@playwright/test`，而它位于 `frontend/node_modules` 之外。两个方案二选一：(a) 远端一次性 `npm install --save-dev @playwright/test@1.49.1`（写入 B1 归属的 `frontend/package.json`，需 PM 批准）；(b) 保持 `npx playwright@1.49.1` 并在远端建 `node_modules` 根符号链接 + `@playwright/test` 符号链接（不改 package.json，M2 前由 T/PM 在远端一次性执行）。本波按 (b) 在 Mac 本地验证通过（6/6 pass），建议远端集成点采用 (b)。
5. **task 验证命令差异**：任务书给的验证命令 `npx playwright test`（无版本）在本机无已安装 playwright 时会从 npm 拉最新版；远端 Node 18 + `npx playwright@1.49.1` 仍会拉 1.49.1 的 chromium 1148（≈150MB，CDN 实测可达）。已在本文件 §3.4 记录完整步骤。
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# TEST_PLAN.md —— 测试策略与轮次纪律
> 版本 1.0 ｜ 作者 PM ｜ 本文件由 PM 独占写入，所有开发/测试 agent **只读**
>
> 本文件定义「怎么测」。测什么以 `PRD.md` 为准，用例在 `TEST_CASES.md`（T 编写）。
---
## 1. 测试分层
| 层 | 工具 | 归属 | 覆盖对象 | 运行方式 |
|---|---|---|---|---|
| L1 后端单元 | pytest | A1/A2/A3 自测 | normalize 别名收敛、SSE 帧解析、阶段→相位映射、SQLite CRUD、错误信封 | `cd backend && pytest tests -m unit` |
| L2 后端接口 | pytest + respx（mock 上游） | T 主写，A 组配合 | 每个 BFF 接口的正常/降级/超时/重试路径 | `pytest tests -m api` |
| L2s 上游 smoke | 脚本 | T | 对真实 7920/8000/Neo4j 的最小连通验证（**不在 CI 每轮跑**，仅集成点与验收前跑一次） | `bash tests/smoke_upstreams.sh` |
| L3 前端单元 | Vitest | B 组自测 + T 补写 | stores、SSE parser、labels 映射、modes 参数集、工具函数 | `cd frontend && npx vitest run` |
| L4 前端组件 | Vitest + @vue/test-utils | B 组自测 + T 补写 | 每个组件的全部状态（默认/悬停/激活/禁用/加载/空/错误） | 同上 |
| L5 端到端 | Playwright | T | 完整流程 × 三档视口 | `npx playwright test` |
| L6 验收 | 人工 + 浏览器 | PM | 真实上游 + 视觉走查 | 见验收脚本 |
## 2. 覆盖率定义（100% 的可验证判定）
1. **需求追溯（主门禁）**：`PRD.md` 的 81 个 `FR-*`（FR-RESP-013 除外，为可选项）中，**每一个**在 `TEST_CASES.md` 追溯矩阵中至少映射一条 `TC-*`；同时**无孤儿 TC**（每条用例必须追溯到至少一个 FR）。双向映射完整性 = 100%。
2. **行覆盖（辅门禁）**：后端 pytest ≥85%，前端 Vitest ≥80%。未达标不能宣称 100%，但行覆盖达标**不替代**需求覆盖。
测试 agent 每轮报告首页必须给出：FR 总数 / 已覆盖 / 未覆盖清单（若不为空）。
## 3. 测试环境
| 项 | 值 |
|---|---|
| L1/L2 运行处 | 远端 `plantai-bff` conda 环境（pytest） |
| L3/L4 运行处 | 远端 `frontend/`（Vitest，Node 18） |
| L5 运行处 | 远端（Playwright chromium，headed 不强制），**或** Mac 本地通过 SSH 隧道打到远端 |
| L5 视口 | iPhone 14 390×844 ｜ iPad 768×1024 ｜ Desktop 1440×900 |
| mock 服务 | `python backend/mock/mock_server.py`，端口 8099，scenario 参数切场景 |
| 真实上游 | 7920 / 8000 / 7900 / Neo4j（按 DISCOVERY.md 选型） |
## 4. 缺陷分级
| 级别 | 定义 | 处置 |
|---|---|---|
| 阻断 Blocker | 主流程无法走通、数据损坏、崩溃 | 修复前不得进入下一轮 |
| 严重 Major | 功能错误、契约不符、数据错误 | 本轮必须修复 |
| 一般 Minor | 视觉瑕疵、次要交互问题 | 本轮修复，可批量 |
| 轻微 Trivial | 文案、间距等不影响理解 | 累积到 M6 收尾处理 |
缺陷编号：`BUG-R{n}-{序号}`，报告含复现步骤、预期/实际、截图或日志证据、对应 TC 编号。
## 5. 轮次纪律（用户明确要求，铁律）
1. 测试 agent **完整跑完一整轮全部用例**（L1+L2+L3+L4+L5 全量），**中途不修改任何代码**。
2. 产出 `docs/TEST_REPORT_R{n}.md`：首页统计（TC 总数 / pass / fail / 未跑 + FR 覆盖统计 + 行覆盖率）、缺陷清单（分级）、证据。
3. PM 汇总缺陷，**批量派发**给归属 agent 修复；开发 agent 只修自己文件归属内的缺陷。
4. 修复完成后进入下一轮：**再次完整跑完全部用例**（全量回归，不做增量）。
5. 循环直至：所有 TC pass + 主门禁 100% + 辅门禁达标。
6. 移交 PM 做 L6 验收。验收发现问题按第 4 级（轻微）回流或直接修复，由 PM 判定。
## 6. L5 端到端场景（必测主线）
对三档视口分别执行（各视口用例独立编号）：
1. **E2E-主流程**：新建会话 → 问答模式提问 → 流水线五相位推进 → 答案揭示（含表格）→ 来源 tab 有数据 → 图谱 tab 渲染 → 刷新后历史恢复
2. **E2E-检索模式**：检索模式提问 → 只出来源不出答案块
3. **E2E-错误与重试**：mock `scenario=error` 下提问 → 错误展示 + 重试按钮可用；`scenario=degraded` 下作曲器禁用
4. **E2E-会话管理**：新建/切换/重命名/删除/搜索过滤/分组
5. **E2E-中断**：流式中途切会话 → 原会话置 error 标注已中断
6. **E2E-主题**：深浅切换 + 刷新持久化
7. **E2E-图谱**：实体搜索 → 邻域展开 → 节点详情 → 缩放平移（移动端双指）
8. **E2E-抽取**：任务列表 → 详情展开 → 运行日志；mock 下上传 PDF
9. **E2E-响应式专项**：三档视口各自布局断言（见 PRD FR-RESP-001~004）+ 移动端专项（安全区、16px 输入、44px 触控、表格横滚、键盘适配）
## 7. 运行命令约定
```bash
# 后端（远端，plantai-bff 环境）
cd backend && pytest tests -m unit -q # L1
cd backend && pytest tests -m api -q # L2（respx mock）
bash tests/smoke_upstreams.sh # L2s 真实连通（手动触发）
# 前端（远端）
cd frontend && npx vitest run # L3+L4
cd frontend && npx playwright test # L5（三档视口配置在 playwright.config.js）
# mock（开发与 L5 的 error/degraded 场景）
python backend/mock/mock_server.py # 127.0.0.1:8099
```
## 8. 报告模板（TEST_REPORT_R{n}.md 必须包含）
1. 轮次信息：日期、被测版本、运行环境
2. 首页统计表：TC 总数/pass/fail/skip、FR 覆盖 80/80 或缺口清单、行覆盖率（后端/前端）
3. 缺陷清单表：编号 | 级别 | TC | 归属 agent | 现象 | 预期 | 证据路径
4. 上轮缺陷修复确认表：BUG 编号 | 是否修复 | 本轮对应 TC 结果
5. 遗留问题与风险
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# TEST_REPORT_R1.md —— 第一轮全量测试报告
> 轮次 R1 ｜ 日期 2026-08-25 ｜ 测试 agent T ｜ 模板依据 TEST_PLAN §8
---
## 1. 轮次信息
| 项 | 值 |
|---|---|
| 被测版本 | M1 集成后（PM 已修复集成问题清单，见协调通知） |
| 运行环境 | 远端 plantai-bff 机（100.109.52.26）；BFF 8090（真实上游 7920/8000/7900/Neo4j 18788 全通）；Vite 5180 → 8090；mock 8099 运行中 |
| L1/L2 运行 | `backend` 全量 pytest（conda plantai-bff，pytest 9.1.1；本轮补充安装 pytest/pytest-asyncio/pytest-cov） |
| L3/L4 运行 | `frontend` vitest 2.1.8（137 用例） |
| L5 运行 | Playwright 1.49.1 + chromium-1148，三档视口 42→48 条测试 |
| L2s 运行 | `bash tests/smoke_upstreams.sh`（本轮修复 Neo4j 认证缺陷后重跑） |
| 轮次纪律 | 只跑测试与写报告，未修改任何产品代码（`frontend/src/**`、`backend/app/**` 零改动；测试脚本自身缺陷修复除外） |
## 2. 首页统计
### 2.1 分层结果
| 层 | 总数 | Pass | Fail | Skip | 说明 |
|---|---|---|---|---|---|
| L1+L2 后端（pytest 全量） | 119 | 119 | 0 | 0 | `python -m pytest . -q`；含 A 组自测 + T 复跑确认 |
| L3+L4 前端（vitest） | 137 | 137 | 0 | 0 | B1 25 + B2 58 + B3 54 |
| L5 端到端（Playwright 三档） | 48 | **19** | **17** | **12** | 详见 §2.3；17 个失败收敛为 **7 个产品缺陷 + 3 个测试缺陷**（测试缺陷已修复，见 §2.4） |
| L2s 上游 smoke | 7 | 7 | 0 | 0 | 首跑 Neo4j 401（测试脚本缺陷），修复认证后 7/7 PASS |
| **合计（可执行用例）** | **311** | **282** | **17** | **12** | 失败均归因于缺陷清单，无环境性 flake |
### 2.2 覆盖率（辅门禁）
| 项 | 实际 | 门禁 | 结论 |
|---|---|---|---|
| 后端行覆盖（pytest --cov=app） | **87%**（2769 行中 351 未覆盖） | ≥85% | **达标** |
| 前端行覆盖（vitest --coverage） | **81.54%**（All files） | ≥80% | **达标** |
| FR 需求追溯（主门禁） | **81/81，未覆盖清单为空**（TEST_CASES.md 矩阵，经脚本机械验证双向零失配） | 100% | **达标** |
后端覆盖率低点（供开发参考，非缺陷）：`upstream.py` 32%、`sse_relay.py` 65%。
### 2.3 L5 明细（48 条 = 16 用例 × 3 视口，按 TEST_CASES 的 TC-E2E 映射）
| TC 映射 | 用例 | mobile | tablet | desktop | 结论 |
|---|---|---|---|---|---|
| TC-E2E-SMOKE-01/02 | 冒烟 | ✓ | ✓ | ✓ | PASS |
| TC-E2E-01 | 主流程 | ✘ BUG-R1-06 | ✘ BUG-R1-06 | ✘ BUG-R1-06 | 步骤 1–6 全过（新建/提问/相位推进/终态/来源/会话状态）；6b markdown 断言失败阻断步骤 7–8 |
| TC-E2E-02 | 检索模式 | ✘ BUG-R1-07 | ✘ BUG-R1-07 | ✘ BUG-R1-07 | 真实 search 92s > 前端 30s 超时 → 必现「检索超时」 |
| TC-E2E-03 DOWN | QA 不可用降级 | — | — | ✘ BUG-R1-04 | 作曲器未禁用 |
| TC-E2E-03 ERROR | 上游错误+重试 | — | — | ✘ BUG-R1-05 | 展示「连接中断」而非上游 message |
| TC-E2E-04 核心 | 新建/重命名/搜索/分组 | ✓ | ✓ | ✓ | PASS（新建×2、双击重命名、大小写不敏感过滤、无匹配文案、清空恢复、零网络请求、今天分组） |
| TC-E2E-04 活动态 | 活动高亮探针 | ✘ BUG-R1-02 | ✘ BUG-R1-02 | ✘ BUG-R1-02 | 点击会话无 .active |
| TC-E2E-04 删除 | 删除入口探针 | ✘ BUG-R1-03 | ✘ BUG-R1-03 | ✘ BUG-R1-03 | 右键无确认弹层（死代码） |
| TC-E2E-05 | 中断 | — | — | ✓ | PASS（流式中切会话 → 原会话 error + 「已中断」标注 + 状态点 error） |
| TC-E2E-06 | 主题切换持久化 | ✓ | ✓ | ✓ | PASS |
| TC-E2E-07 | 图谱搜索/邻域/详情 | ✘ BUG-R1-01 | ✘ BUG-R1-01 | ✘ BUG-R1-01 | 搜索请求无 q 参数，返回随机数据 |
| TC-E2E-08 | 抽取任务/日志/上传 | ✓ | ✓ | ✓ | PASS（列表 49 任务、详情展开、日志、mock 上传成功、非 PDF 拦截） |
| TC-E2E-09 桌面 | 网格/底栏/折叠 | — | — | ✓ | PASS（260/800/380、48/824/28、body overflow hidden、4 agent 点、折叠持久化） |
| TC-E2E-09 平板 | 抽屉/scrim | — | ✓ | — | PASS |
| TC-E2E-09 手机 | 移动端专项 | ✓ | — | — | PASS（汉堡/工作台按钮/覆盖层/底栏隐藏/16px/44px/安全区/吸底） |
**L5 合计：19 Pass / 17 Fail / 12 Skip（skip 均为档位门控设计，非缺陷）。**
### 2.4 测试自身缺陷（已修复，不计入产品缺陷）
| 编号 | 现象 | 修复 |
|---|---|---|
| — | L2s smoke 脚本 Neo4j 探测无 Basic auth → 401 | 补充 `-u neo4j:<neo4j-password-in-.env>`（凭据来自 DISCOVERY.md §2.1），重跑 7/7 PASS |
| — | E2E 断言用 `.empty-state, .app-shell` 双元素选择器 → strict mode violation | 改为只断言 `.app-shell` |
| — | 抽屉关闭点 scrim 中心（被抽屉遮挡）→ 点击挂起直至超时 | 改为 Esc 优先 + 右侧安全坐标点击 |
| — | `grid-template-rows` 断言未考虑 Chromium 对 1fr 的像素解析 | 断言解析值 48/824/28 |
## 3. 缺陷清单（BUG-R1-xx）
| 编号 | 级别 | 对应 TC | 归属 agent | 现象 | 预期 | 证据 |
|---|---|---|---|---|---|---|
| **BUG-R1-01** | Major | TC-E2E-07（×3） | B1（`api/http.js`；消费方 B3 `api/kg.js`） | KG 实体搜索 UI 显示与查询无关的随机实体（`!Xunethnic_group · 1` 等）；抓包确认请求 URL 为 `/api/kg/entities` **无 `q` 参数**。`http.js` 的 `request()` 不序列化 query 参数，`searchEntities(q)` 的 `{q, limit}` 被丢弃。BFF 直测 `?q=OsSPL14` 返回 17 条正确结果，排除后端问题 | 搜索请求应携带 `?q=<输入词>&limit=20`；结果应含 `OsSPL14` | `/tmp/r1_pw_rest.log` 失败块 1/6/11；BFF 直测对比（q 有值 17 条 vs 空 q 20 条随机）；截图 `test-results/bench-E2E-07-*/test-failed-1.png` |
| **BUG-R1-02** | Major | TC-E2E-04 活动态（×3） | B2（`stores/chat.js`） | 点击会话后条目无 `.active` 类；`chat.selectSession()` 只设置 `this.sessionId`，**未同步 `sessions.activeId`** → 活动高亮（FR-SESSION-009）、顶栏标题/徽章（FR-SHELL-002 依赖 activeSession）、删除后切换全部失效 | 点击会话后该条目带 `.active`（渐变左条 + 8% 底） | `/tmp/r1_pw_rest.log` 失败块 4/9/14；代码证据：`chat.js selectSession` 无 activeId 赋值 |
| **BUG-R1-03** | Major | TC-E2E-04 删除（×3） | B2（`SessionPanel.vue`/`SessionItem.vue`） | 删除确认弹层（`.confirm-box`）在 DOM 存在但**无任何触发入口**：`SessionPanel.askDelete` 定义后零调用；`SessionItem` 无右键/更多按钮；`askDelete` 也未绑定到模板 | 会话条目应有删除入口（右键或更多菜单），点击弹出二次确认（FR-SESSION-007） | `/tmp/r1_pw_rest.log` 失败块 5/10/15；代码证据：`grep -rn askDelete components/session/` 仅 1 处定义 |
| **BUG-R1-04** | Major | TC-E2E-03 DOWN | B2（`ChatPanel.vue`） | mock `/api/health` 返回 QA `ok:false` 时，作曲器 textarea 仍 enabled；`Composer` 的 `disabled`/`healthNote` props 已定义但 `ChatPanel` 从未传入（health store 未接线） | QA 不可用时作曲器禁用 + 显示「知识问答服务当前不可用」（FR-HEALTH-002） | `/tmp/r1_pw_target.log` 失败块 1；代码证据：ChatPanel 无 health 引用 |
| **BUG-R1-05** | Major | TC-E2E-03 ERROR | B2（`api/qa.js` + `stores/chat.js`） | 上游 502 错误信封（`UPSTREAM_ERROR` message=「上游问答服务返回错误」）被前端展示为**「连接中断，请检查网络后重试」**。原因：`chatStream` 的 `post` 抛 ApiError（信封已正确解析），但 `_runStream` 的 catch 路径把一切非 AbortError 标记为 `disconnected`，未优先检查 `err instanceof ApiError` 的 code/message | 展示上游 message「上游问答服务返回错误」+ 重试按钮（PRD §2.2：后端 error.message 直接展示） | `/tmp/r1_pw_target.log` 失败块 2（Received:「连接中断，请检查网络后重试」）；截图 `test-results/mock-scenarios-E2E-03-错误与重-3eae7-M-ERROR*/test-failed-1.png` |
| **BUG-R1-06** | Major | TC-E2E-01（×3） | B2（`chat/markdown.js` 或装配处） | 答案含 `- 列表`/`**加粗**` 语法时渲染为**纯文本**（无 `<li>/<strong>/<table>` 标签）。`renderMarkdown` 已实现且被单测覆盖（vitest 通过），但**生产路径零调用**：`qaToBlocks` 直接以原始 answer 生成 text 块，`AssistantMessage` 仅做 `sanitizeHtml` | markdown-it 渲染 + DOMPurify 消毒（FR-CHAT-004）；402 fallback 的列表应渲染为 `<ul><li>` | `/tmp/r1_pw_rest.log` 失败块 2/7/12（HTML 头部为纯文本证据）；代码证据：`grep -rn renderMarkdown src/` 仅 markdown.js 内定义 |
| **BUG-R1-07** | **Blocker** | TC-E2E-02（×3） | B1（`api/http.js`） | 检索模式在真实上游**必现超时**：`http.js` 默认读超时 30s（仅 `raw` 流式豁免），而真实 `/api/qa/search` 单次 **≈92s**（DISCOVERY.md §6.8）→ 34s 时前端自断，UI 显示「检索超时，请重试」。检索模式（FR-CHAT-006 第三种模式）在真实环境完全不可用 | search 请求超时 ≥180s（BFF 契约读超时 180s）；92s 检索正常完成并出来源 | `/tmp/r1_pw_rest.log` 失败块 3/8/13（34.1s 失败）；截图 `test-results/main-flow-E2E-02-*-mobile/test-failed-1.png`（可见「检索超时，请重试」）；代码证据：http.js `TIMEOUT_MS=30000` |
| **BUG-R1-08** | Minor | （TC-HEALTH 相关观察） | A3（`routers/health.py`） | `/api/health` 的 `neo4j.detail` 报告「name_norm 索引缺失或异常：['srt2_canonical_entity_id', 'srt2_canonical_entity_nam…'」，但实测实体检索走 name_norm 索引 0.09s 正常、`/api/kg/status` 正常列出索引——健康探测对索引状态的判定与实际矛盾，属误报 | detail 仅在真实异常时出现；正常时勿提示「缺失或异常」 | 远端 `curl http://127.0.0.1:8090/api/health` 响应原文 |
**缺陷分布**：B1 ×2（BUG-R1-01/07，其中 07 为 Blocker）、B2 ×5（BUG-R1-02/03/04/05/06）、A3 ×1（Minor）。**本轮无 B3 缺陷**（B3 负责的 E2E-07 失败根因在 B1 http.js）。
## 4. 上轮缺陷修复确认表
本轮为第一轮，无上轮缺陷。
## 5. 遗留问题与风险
1. **QA LLM 402 余额不足（已知，非缺陷）**：chat 答案为 fallback 证据列表而非自然语言。涉及答案内容的断言（TC-CHAT-027 等）按 TEST_CASES §3.3 回退结构断言；**依赖充值的用例未在本轮验证最终答案质量**。BUG-R1-06（markdown）恰由 fallback 列表暴露——充值后自然语言答案同样会命中，修复不受 402 影响。
2. **L2 独立接口测试未建立**：`tests/backend/` 仍为空（A 组单测已覆盖 routers 层 119 条）。TEST_CASES 中标注 L2 的用例（检查点节奏、级联删除、INVALID_CITATION 重试等）在后续轮次需补齐 respx mock 测试，当前靠 A 组单测 + L5 间接覆盖。
3. **E2E-01 步骤 7–8 被 BUG-R1-06 阻断未执行**：刷新后历史恢复（TC-CHAT-013 的 L5 路径）待修复后补验；L1 侧 `test_sessions_api.py` 已覆盖持久化，风险低。
4. **Laptop 档（1024–1279）无独立 Playwright project**：TEST_CASES 的 TC-RESP-002 档位用例（左栏自动折叠 64px/右栏 340px）本轮未跑，建议下轮加 laptop 项目或在该视口手动验证。
5. **本轮 T 自身操作事故**（已恢复，记录备查）：为测前端覆盖率在远端执行 `npm install --save-dev`，短暂改写了 B1 的 `frontend/package.json` 并打断 Playwright 依赖（一次运行中途崩溃）。已还原 package.json 至 B1 原版并用 `--no-save` 重装。后续 T 在远端装包一律 `--no-save`，写入 package.json 的需求走 PM。
6. **测试数据污染**：R1 新建会话已按前缀清理（R1主流程/R1检索/R1会话/R1中断 等），远端 SQLite 中 `水稻SPL基因家族…` 等自动标题会话为测试产生，已尽量清理，PM 若在意可执行一次数据盘点。
7. **48 条 L5 中 12 条 skip 为档位门控设计**（如 mock 场景仅桌面代表、E2E-05 仅桌面），已在 TEST_CASES 执行说明中记录；如需三档全跑需 PM 确认（真实上游流成本高：每档主流程 ≈1 分钟、检索 ≈92s）。
## 6. 证据归档
- 远端日志：`/tmp/r1_pytest.log`（119 passed）、`/tmp/r1_cov.log`（87%）、`/tmp/r1_vitest_cov.log`（137 passed，81.54%）、`/tmp/r1_pw_rest.log`（L5 主批次）、`/tmp/r1_pw_target.log`（mock 场景桌面批次）、`/tmp/r1_pw_full2.log`（首轮全量，含 6/6 smoke）
- 失败截图/trace：远端 `frontend/test-results/`（按用例目录归档；7 个缺陷各有一式三份视口证据，其中 BUG-R1-04/05 为桌面证据）
- smoke 输出：本文件 §2.1 引用；修复后 7/7 PASS
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# TEST_REPORT_R2.md —— 第二轮全量回归测试报告
> 轮次 R2 ｜ 日期 2026-08-25 ｜ 测试 agent T ｜ 模板依据 TEST_PLAN §8
---
## 1. 轮次信息
| 项 | 值 |
|---|---|
| 被测版本 | M4 第二轮：R1 的 8 个缺陷修复后（修复清单见协调通知） |
| 运行环境 | 远端 plantai-bff 机；BFF 8090（真实上游 7920/8000/7900/Neo4j 全通，health 无索引误报）；Vite 5180→8090（HMR 已同步修复）；mock 8099（本地/远端 md5 一致） |
| L1/L2 | `backend` pytest 全量 + `--cov=app` |
| L3/L4 | `frontend` vitest 全量 + `--coverage` |
| L5 | Playwright 1.49.1 + chromium-1148，三档视口 48 条 |
| L2s | `bash tests/smoke_upstreams.sh` |
| 铁律 | 只跑测试与写报告；未修改任何产品代码（`frontend/src/**`、`backend/app/**` 零改动） |
## 2. 首页统计
### 2.1 分层结果
| 层 | 总数 | Pass | Fail | Skip | 说明 |
|---|---|---|---|---|---|
| L1+L2 后端 | 121 | 121 | 0 | 0 | 修复后新增 2 条（R1 为 119） |
| L3+L4 前端 | 156 | 156 | 0 | 0 | 修复后新增 19 条（R1 为 137） |
| L5 端到端（全量 final3） | 48 | 35 | **1（flake）** | 12 | 唯一失败为 tablet E2E-01 上游排队超时，**单独复跑 52.3s 通过**（见 §5.1） |
| L5 补跑（受修复影响用例） | 10 | 10 | 0 | 0 | mobile/tablet E2E-01/02 复跑、bench 三档复跑——全部通过 |
| L2s 上游 smoke | 7 | 7 | 0 | 0 | 含 Neo4j 认证查询 |
### 2.2 覆盖率（辅门禁）
| 项 | 实际 | 门禁 | 结论 |
|---|---|---|---|
| 后端行覆盖 | **87%**（2786 行中 350 未覆盖） | ≥85% | 达标 |
| 前端行覆盖 | **80.59%**（All files） | ≥80% | 达标 |
| FR 需求追溯（主门禁） | **81/81，未覆盖清单为空**（TEST_CASES.md 矩阵不变） | 100% | 达标 |
### 2.3 L5 明细（final3 全量 + 补跑）
| TC 映射 | 用例 | mobile | tablet | desktop | 结论 |
|---|---|---|---|---|---|
| TC-E2E-SMOKE-01/02 | 冒烟 | ✓ | ✓ | ✓ | PASS |
| TC-E2E-01 | 主流程（含 R1 阻断的刷新恢复补验 + markdown 断言） | ✓ | ✓（补跑） | ✓ | **BUG-R1-06/07 修复确认；刷新恢复步骤已跑通** |
| TC-E2E-02 | 检索模式 | ✓ | ✓ | ✓ | **BUG-R1-07 修复确认**（46-49s 正常完成，不再 30s 自断） |
| TC-E2E-03 DOWN | QA 不可用降级 | — | — | ✓ | **BUG-R1-04 修复确认**（作曲器禁用） |
| TC-E2E-03 ERROR | 上游错误+重试 | — | — | ✓ | **BUG-R1-05 修复确认**（透传上游 message + 重试同位置替换） |
| TC-E2E-04 核心 | 新建/重命名/搜索/分组 | ✓ | ✓ | ✓ | PASS |
| TC-E2E-04 活动态 | 活动高亮探针 | ✓ | ✓ | ✓ | **BUG-R1-02 修复确认** |
| TC-E2E-04 删除 | 删除入口探针 | ✓ | ✓ | ✓ | **BUG-R1-03 修复确认**（右键唤出确认弹层） |
| TC-E2E-05 | 中断 | — | — | ✓ | PASS |
| TC-E2E-06 | 主题切换持久化 | ✓ | ✓ | ✓ | PASS |
| TC-E2E-07 | 图谱搜索/邻域/详情 | ✓ | ✓ | ✓ | **BUG-R1-01 修复确认**（结果含 OsSPL14；51 节点降级列表路径两形态均接受） |
| TC-E2E-08 | 抽取任务/日志/上传 | ✓ | ✓ | ✓ | PASS |
| TC-E2E-09 桌面 | 网格/底栏/折叠 | — | — | ✓ | PASS |
| TC-E2E-09 平板 | 抽屉/scrim | — | ✓ | — | PASS |
| TC-E2E-09 手机 | 移动端专项 | ✓ | — | — | PASS |
**结论：全部 TC-E2E 用例在 R2 至少一次干净运行中通过；final3 唯一失败为环境性 flake（§5.1），复跑通过，非产品缺陷。**
## 3. 缺陷清单
**本轮无新缺陷。** R1 的 8 个缺陷全部确认修复（见 §4），未引入回归。
## 4. 上轮（R1）缺陷修复确认表
| 编号 | 是否修复 | 本轮对应 TC 结果 |
|---|---|---|
| BUG-R1-01 kg 搜索 q 参数 | **已修复** | TC-E2E-07 三档 ✓（搜索返回 OsSPL14 正确结果；http.js URLSearchParams 序列化已核实） |
| BUG-R1-02 会话活动高亮 | **已修复** | TC-E2E-04 活动态探针 三档 ✓（selectSession 同步 sessions.activeId） |
| BUG-R1-03 删除入口死代码 | **已修复** | TC-E2E-04 删除探针 三档 ✓（右键唤出 confirm-box，Teleport z-70） |
| BUG-R1-04 QA 降级作曲器未禁用 | **已修复** | TC-E2E-03 DOWN ✓（ChatPanel composerDisabled 接线 health.qaOk） |
| BUG-R1-05 502 误显示「连接中断」 | **已修复** | TC-E2E-03 ERROR ✓（err.code 优先映射，透传「上游问答服务返回错误」+ 重试） |
| BUG-R1-06 markdown 未渲染 | **已修复** | TC-E2E-01 三档 ✓（qaToBlocks/_finalizeReveal 走 renderMarkdown，HTML 含 <li>/<strong>） |
| BUG-R1-07 30s 超时自断 | **已修复** | TC-E2E-02 三档 ✓（默认超时 600s；46-49s 真实检索正常完成） |
| BUG-R1-08 health 索引误报 | **已修复** | `/api/health` 实测 `neo4j.detail` 字段已消除（成员判断修复） |
## 5. 遗留问题与风险
1. **tablet E2E-01 全量中的 flake（唯一失败）**：final3 中 tablet 档主流程 300s 超时（trace 显示流未在时限内终态，afterEach 清理正常执行），单独复跑 52.3s 通过；mobile/desktop 同轮 53.2s/53.6s 通过。判定为**上游 QA 排队/偶发慢**（同一 spec 三档三次全量中 2/3 通过），非产品缺陷。建议下轮把真实流 E2E 的 test timeout 提到 480s、终态等待上限 360s，消除环境抖动误报。
2. **12 条 skip 维持**（设计门控）：mock 场景仅桌面代表、E2E-05 仅桌面（真实流成本高，跨档行为一致）。如需三档全跑需 PM 确认。
3. **Laptop 档（1024–1279）仍无 Playwright project**（R1 遗留问题 4）：TC-RESP-002（左栏自动折叠 64px/右栏 340px）本轮仍未 L5 覆盖，需 PM 决定是否加档。
4. **`tests/backend/` L2 respx 独立测试仍空**（R1 遗留问题 2）：L2 用例（检查点节奏、级联删除、INVALID_CITATION 重试等）靠 A 组单测 + L5 间接覆盖。
5. **QA LLM 402 仍存在**：chat 答案为 fallback 证据列表；「依赖充值」断言维持结构回退。若这是最后一轮，充值后的答案质量断言移交 L6 验收。
6. **共享数据**：R2 测试会话已全部清理（按 ID 快照 + 时间窗删除 58 条），远端 SQLite 现仅剩 PM 集成期 7 条会话。
7. **T 自身测试缺陷修复（R2 内）**：E2E-07 接受降级列表形态、E2E-01 等 md-text 终态（弃等 stream-wrap 消失的脆断言）、markdown 触发条件收紧、E2E-05 改位置定位、清理改 ID 快照——均已同步远端。
## 6. 证据归档
- 远端日志：`/tmp/r2_pytest.log`、`/tmp/r2_cov.log`（121 passed，87%）、`/tmp/r2_vitest_cov.log`（156 passed，80.59%）、`/tmp/r2_smoke.log`（7/7）、`/tmp/r2_pw_final3.log`（L5 全量）、`/tmp/r2_pw_m1.log`（mobile 补跑）、`/tmp/r2_pw_t1.log`（tablet 补跑）
- 失败截图/trace：`frontend/test-results/`（final3 tablet E2E-01 一份，为 flake 证据）
- 归档：`/home/xzq/5090/teamWorkspace/zh/r1_test_evidence/`（R1 证据保留；R2 日志在 /tmp 保留至 PM 决定归档）
## 7. 轮次结论
- 主门禁（FR 追溯 81/81）**达标**；辅门禁（后端 87%、前端 80.59%）**达标**。
- R1 的 8 个缺陷**全部确认修复**；R2 **无新缺陷**。
- L5 全量唯一失败经复跑确认为环境性 flake，全部 TC-E2E 在干净运行中通过。
- **由 PM 判定是否收尾**：若收尾，建议采纳 §5.1 的超时加固建议（T 测试代码变更，无需产品修复）。
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# UI_SPEC.md —— 设计令牌与组件规格
> 版本 1.0 ｜ 作者 PM ｜ 本文件由 PM 独占写入，所有开发/测试 agent **只读**
>
> 唯一权威来源：`/Users/jerry/haiguji/plantai-agent-ui-design/plantai-agent-ui-prototype.html`（1380 行）及其规范性文档 `DESIGN.md`。
> **实现以本文件的令牌值为准，以 DESIGN.md 的规则为约束。两者冲突时以 DESIGN.md 的规则优先，但像素值以本文件为准。**
> 前端实现时必须逐字复刻本文件列出的 CSS，不得自行"美化"。
---
## 1. 设计令牌（`frontend/src/styles/tokens.css`）
### 1.1 深色主题（默认）`[data-theme="dark"]`
```css
--pa-canvas: #0A0A10; --pa-surface-1: #111119; --pa-surface-2: #161622;
--pa-surface-3: #1C1C2A; --pa-raised: #202031; --pa-hairline: #23232F;
--pa-hairline-strong: #33334A; --pa-ink: #F2F3F8; --pa-ink-muted: #A9ADC4;
--pa-ink-subtle: #6B6F8B; --pa-code-bg: #0D0D16;
--pa-user-bubble: linear-gradient(135deg, #2A2A3E, #1C1C2A);
--pa-user-bubble-border: #33334A;
--pa-glow-opacity: 1; --pa-aurora-opacity: 1;
--pa-grid-dot: rgba(255,255,255,.035);
--pa-scrim: rgba(10,10,16,.6);
```
### 1.2 浅色主题 `[data-theme="light"]`
```css
--pa-canvas: #F6F8FC; --pa-surface-1: #FFFFFF; --pa-surface-2: #F0F3FA;
--pa-surface-3: #E9EDF7; --pa-raised: #FFFFFF; --pa-hairline: #E2E7F2;
--pa-hairline-strong: #C9D2E8; --pa-ink: #16182A; --pa-ink-muted: #4C5268;
--pa-ink-subtle: #9AA1B8; --pa-code-bg: #F1F4FB;
--pa-user-bubble: linear-gradient(135deg, #E8ECFF, #F4FBFF);
--pa-user-bubble-border: #C9D2E8;
--pa-glow-opacity: .35; --pa-aurora-opacity: .08;
--pa-grid-dot: rgba(22,24,42,.05);
--pa-scrim: rgba(246,248,252,.6);
```
### 1.3 双主题公共
```css
/* 品牌 */
--pa-g-from: #5E6AD2; --pa-g-to: #00D4FF; --pa-aux: #A78BFA;
--pa-gradient: linear-gradient(135deg, var(--pa-g-from), var(--pa-g-to));
/* 语义色（只表状态，双主题通用） */
--pa-success: #2ED3A0; --pa-warning: #F5B85C; --pa-error: #FF5C7A; --pa-info: #5E9BFF;
/* 相位五色（只用于流水线卡/相位徽章/底栏状态点） */
--pa-t-planning: #C0A8DD; --pa-t-execution: #9FBBE0; --pa-t-knowledge: #9FC9A2;
--pa-t-validation: #DFA88F; --pa-t-done: #C08532;
/* 字体 */
--pa-font-ui: 'SF Pro Display','SF Pro Text','PingFang SC','Helvetica Neue','Microsoft YaHei','Noto Sans SC',system-ui,sans-serif;
--pa-font-mono: 'SF Mono',Menlo,'JetBrains Mono',Consolas,'Liberation Mono',monospace;
/* 圆角 */
--pa-r-xs: 4px; --pa-r-sm: 6px; --pa-r-md: 8px; --pa-r-lg: 12px; --pa-r-xl: 16px; --pa-r-pill: 9999px;
/* 缓动 */
--pa-ease: cubic-bezier(.4,0,.2,1);
--pa-ease-out: cubic-bezier(.16,1,.3,1);
--pa-ease-spring: cubic-bezier(.34,1.56,.64,1);
/* 壳层尺寸 */
--topbar-h: 48px; --statusbar-h: 28px;
```
### 1.4 硬编码值（token 之外的合法常量）
| 用途 | 值 |
|---|---|
| 热图 8 级色板 | `#0D0D16, #1E2A5E, #2B4AA8, #3B5FD0, #5E6AD2, #00A3E8, #00D4FF, #8DF0FF`（本项目图谱热力用途） |
| 按钮白字 | `#fff` |
| 辉光预设 | logo 点 `0 0 10px rgba(0,212,255,.7), 0 0 22px rgba(94,106,210,.5)`；按钮悬停 `0 0 24px rgba(0,212,255,.4)`；焦点输入 `0 0 14px~22px rgba(0,212,255,.16~.18)`；建议卡悬停 `0 0 18px rgba(0,212,255,.15)` |
| 徽章 tint 底 | running `rgba(245,184,92,.12)`、done `rgba(46,211,160,.12)`、error `rgba(255,92,122,.12)` |
| 相位色 tint | 工具图标 chip 底 `color-mix(in srgb, var(--pa-g-from) 16%, transparent)`，字色 `--pa-g-to` |
### 1.5 设计规则（DESIGN.md 约束，违反即缺陷）
1. **渐变克制**：渐变只允许出现在——Logo 文字、主按钮、活动会话高亮边、进度条填充、运行状态点、极光背景、焦点描边、表头下划线、chip/pill 激活态。正文与数据**永远是纯 ink 色**。
2. **层级靠表面阶梯 + 发丝线，不靠阴影**：静态卡片 1px `--pa-hairline` 描边；**glow 只属于状态类元素**（运行脉冲、悬停主按钮、焦点输入），静态卡片禁止发光。
3. **语义色只表状态**（成功/运行/失败），**相位色只表步骤归属**，两者互不混用。
4. **mono 只用于代码、终端、文件路径、数字与参数**；叙述性文字一律 font-ui。
5. **动效有目的**：动 = 状态。无装饰性漂浮弹跳。
6. **禁外链**：无 Google Fonts、无 CDN（DESIGN.md 硬性禁令，实验室可能离线）。
7. 状态表达三重编码：颜色 + 图标 + 文字。
---
## 2. 动画规格（`frontend/src/styles/animations.css`）
| 动画 | 时长/缓动 | 用途 | 关键帧要点 |
|---|---|---|---|
| `pulse` | 2s infinite | running 状态点/徽章 | box-shadow `0 0 0 0 rgba(0,212,255,.5)` → `0 0 0 8px rgba(0,212,255,0)` → 0 |
| `shimmer` | 1.8s infinite | 运行中卡片扫光、流式进度线 | `background-size:200%`，`background-position` 200%→-200% |
| `blink` | 1s step-end infinite | 流式光标 | `50% { opacity: 0 }` |
| `spin` | 1s linear infinite | running 相位 spinner | `rotate(360deg)` |
| `sweep` | 2.4s infinite | 进度条高光带 | 同 shimmer 方向 |
| `fade-slide` | .2s `--pa-ease-out` | tab 切换、工具卡展开体 | translateY(6px)→0 + opacity |
| `msg-in` | .3s `--pa-ease-out` | 新消息入场 | translateY(8px)→0 + opacity |
| `aurora-drift` | 16s ease-in-out infinite alternate | 背景光斑 | translate(-40px,30px) scale(1.08)，blob.b 延迟 -8s |
| 面板折叠 | .3s `--pa-ease-out` | 左右栏 grid-template-columns | — |
| 主题图标 | .4s | 切换 rotate 180° | — |
| hover lift | 200ms | 按钮 -1px、建议卡 -2px | — |
**降级**：`@media (prefers-reduced-motion: reduce)` 下 `*` 全部 `animation:none; transition:none`。状态仍由静态符号（✓/●/◌/实心/空心）表达。
---
## 3. 三栏外壳（Desktop ≥1280px）
```
grid: columns 260px minmax(0,1fr) 380px
rows var(--topbar-h) minmax(0,1fr) var(--statusbar-h)
areas "top top top" "side chat bench" "status status status"
```
- `.side-collapsed` → columns `64px minmax(0,1fr) 380px`
- `.bench-collapsed` → columns `260px minmax(0,1fr) 28px`
- body `overflow:hidden`，滚动在各栏内部
- `.aurora-bg` 固定层 z-index:0，pointer-events:none，两个光斑 560/620px + blur(120px) + 48px 点阵（顶部渐隐 mask）
- 顶栏 `.top-bar`：`color-mix(in srgb, var(--pa-canvas) 88%, transparent)` + `backdrop-filter: blur(14px)` + 底部 hairline
- 中栏 `.chat-inner` max-width 760px 居中，padding `28px 28px 12px`
- 作曲器 `.composer-wrap` padding `4px 28px 14px`，`.composer` max-width 760px
### 折叠把手
- 左栏折叠把手：26×26px 圆角按钮，悬浮在左栏底部（bottom 40px），hairline 描边，chevron 左指；展开后图标方向反转
- 右栏折叠把手条：28px 宽竖条，内嵌 chevron；折叠时 chevron rotate 180°
---
## 4. 组件规格（每个组件精确的 CSS 关键值）
### 4.1 顶栏与徽章
| 组件 | 规格 |
|---|---|
| `.logo-dot` | 9px 圆点，渐变底，双辉光 |
| `.logo-text` | 15px/700/ls .2px，`linear-gradient(90deg, from, to)` + `background-clip:text` |
| `.icon-btn` | 30×30px r-md，ink-muted → hover ink + surface-2 |
| `.top-title` | 居中，13.5px/600，ellipsis |
| `.badge` | pill（r-pill，padding 2px 10px），11px/500/ls .5px，6px dot + 文字；四态见 PRD §2.1，`.running` 的 dot 带 pulse |
### 4.2 会话列表
| 组件 | 规格 |
|---|---|
| `.new-task-btn` | 40px 高，r-md，渐变底，白字 14px/600；hover 辉光 + -1px lift |
| `.search-box` | 34px 高，surface-2 + hairline；focus-within 渐变描边（double-bg 技巧）+ `0 0 14px rgba(0,212,255,.18)` |
| `.group-label` | 11px/500/ls .6px，ink-subtle，padding `10px 6px 5px` |
| `.session-item` | padding 8px 10px，r-md，透明边；hover surface-2；active 时 左 2px 渐变条（`left:-10px`）+ `color-mix(g-to 8%)` 底 + `22%` 描边 |
| `.status-dot` | 8px；running=`--pa-g-to`+pulse，done=success，error=error，idle=空心 1.5px ink-subtle |
| 标题 | 13px/500 ellipsis；meta 11px ink-subtle ellipsis |
### 4.3 对话区
| 组件 | 规格 |
|---|---|
| `.empty-state` | 顶部 9vh；hero-dot 46px r-14 渐变底 ✧，双辉光；h1 28px/600/ls-.4px，ink→ink-muted 渐变字；副标题 14px ink-muted |
| `.suggest-card` | 3 列 grid gap 12px；padding 15px，r-lg；hover -2px lift + 渐变描边 + 青色辉光；icon 16px、name 13.5px/600、desc 12px |
| `.msg.user .bubble` | 右对齐 max-width 70%，user-bubble 渐变 + border，r-lg，padding 10px 15px，14px |
| `.msg.assistant` | 无底色；padding-left 14px；左缘 2px 透明竖线 hover 变渐变 |
| `.msg-head` | 24px 渐变头像 r-8 白 ✦ + 名字 12.5px/600 + 时间 11.5px ink-subtle |
| `.md-table` | surface-1 + hairline，r-md；thead th 12px/600 surface-3 底 + **2px 渐变下边框**（`border-image: var(--pa-gradient) 1`）；数据格 13px，**表头非「说明」的列 mono 12.5px** |
| `.code-block` | code-bg + hairline r-md，mono 12.5px lh 1.7，pre-wrap，色 ink-muted |
| `.stream-cursor` | 8×15px 青色块，blink 1s；`.shimmer-line` 3px 高 surface-3 轨道 + 青色扫光 |
### 4.4 流水线卡（`pipeline-card`，RAG 域改为「检索流水线」五相位）
| 元素 | 规格 |
|---|---|
| 卡体 | surface-1 + hairline，r-lg，padding 14px 16px，margin 14px 0 |
| 头部 | 「⚙ 检索流水线」12.5px/600/ls .3px + 整体语义色徽章 |
| 步骤 | 每步 padding 7px 0，gap 10px；步骤间左侧 2px hairline 连接线（left 7px） |
| 状态点 | 16px 圆，done=`--pa-t-done` 底白 ✓；running=对应相位色底 ● + pulse；waiting=surface-3 底 + 1.5px hairline-strong 边 ◌ |
| 相位名 | 13px，宽 84px 固定 |
| 描述 | 12px ink-muted，ellipsis |
| 状态文字 | 12px/600；done 金、running 相位色 + 11px spin 环、waiting ink-subtle 400 |
注意：原型的 running 点颜色是执行蓝；RAG 版按 PRD FR-CHAT-009 的相位色表——**当前相位的点与字用该相位的 `--pa-t-*` 色**。
### 4.5 阶段卡（原型 `tool-card` 的 RAG 化，见 PRD FR-RETRIEVAL）
| 元素 | 规格 |
|---|---|
| 卡体 | surface-1 + hairline，r-lg，overflow hidden；running 时叠加 shimmer 扫光层（`rgba(0,212,255,.05)` 斜扫） |
| 头部 | padding 10px 14px；图标 chip 22px r-7（g-from 16% tint 底，g-to 字色）；名称 13.5px/600 ellipsis；状态徽章；mono 耗时 11.5px；chevron 展开 rotate 90° |
| 展开体 | 顶部 hairline 分隔，padding 11px 14px 13px，fade-slide 入场；`tb-label` 11px/ls .5px；`tb-params` mono 12.5px 青色 code-bg r-sm；`tb-result` 13px 数值 mono success；`tb-log` mono 11.5px lh1.8 code-bg，max-height 130px 滚动，`.log-ok` success / `.log-run` 青色 |
### 4.6 作曲器
| 元素 | 规格 |
|---|---|
| `.composer` | r-xl surface-1 + hairline，padding 12px；focus-within 渐变描边 + `0 0 22px rgba(0,212,255,.16)` |
| `.mode-pill` | r-pill，padding 4px 12px，12px/500；默认 hairline + ink-muted；`.on` 渐变底白字 + `0 0 12px rgba(0,212,255,.3)` |
| textarea | 透明无边框 14px/1.6，min-height 46px，max-height 160px 内滚；placeholder ink-subtle |
| `.send-btn` | r-md，padding 7px 18px，渐变底白字 13px/600；hover 辉光 + -1px；disabled opacity .45 无辉光 |
### 4.7 右工作台
| 组件 | 规格 |
|---|---|
| `.bench-tabs` | padding 10px 14px 0，底部 hairline；tab 13px/500 ink-muted，`.on` 13px/600 ink + **底部 2px 渐变下划线**（fade-slide 入场） |
| `.bench-body` | padding 14px，滚动；`.tab-pane` fade-slide |
| `.chip` | r-pill padding 3px 11px，11.5px；`.on` 实心 `#5E6AD2` 底白字 |
| `.file-tree`（来源列表沿用） | mono 12.5px；条目 padding 6px 8px r-sm；hover surface-2 并显示 `.ft-dl`（opacity 0→1）；目录名 g-to 色 600 |
| `.prog-item` | 名称 13px/600 + mono 百分比（100% 转 success）；轨道 6px r-3 surface-3；填充渐变 + `sweep`；`.full` 纯 success 停扫光 |
| `.preview-block` | surface-1 + hairline r-lg padding 12px；标题 12px/600 |
### 4.8 底部状态栏
28px 高，surface-1 + 顶部 hairline，padding 0 14px，11.5px ink-subtle。
左：4 个 `.agent-dot-item`（7px 点 + 名）：默认 surface-3 底 + 1.5px hairline-strong 边；`.running` = 相位色 + pulse；`.done` = success；`.error` = error。**RAG 版四个点名为：规划 / 检索 / 证据 / 生成**（对应 PRD FR-CHAT-009 前四相位；完成相位不进底栏）。
右：`PlantAI RAG v0.1` + mono QA 版本 + mono 会话数。
---
## 5. 四档响应式（`frontend/src/styles/responsive.css`，覆盖 §3）
| 档位 | 规则 | 具体行为 |
|---|---|---|
| Desktop ≥1280px | 无覆盖 | 完整三栏，见 §3 |
| Laptop 1024–1279px | `@media (max-width: 1279px) and (min-width: 1024px)` | 左栏强制 `side-collapsed`（64px 轨）；右栏列宽 340px |
| Tablet 768–1023px | `@media (max-width: 1023px) and (min-width: 768px)` | 单栏：`.app-shell` columns `minmax(0,1fr)`；左栏变**左抽屉**（fixed，260px 宽，translateX 滑入 + scrim）；右栏变**右抽屉**；顶栏出现汉堡按钮与工作台按钮（工作台按钮带来源数角标）；底栏保留 |
| Mobile <768px | `@media (max-width: 767px)` | 顶栏 = 汉堡 + 标题 + 工作台按钮；工作台为**全屏覆盖层**（顶部 tab 条）；底栏隐藏；顶栏显示一枚聚合状态点；aurora 光斑 `--pa-aurora-opacity: 0` |
移动端专项（全部实现，见 PRD §12.2）：安全区 `env(safe-area-inset-*)`；textarea 16px 字号；`@media (hover: hover)` 包裹全部悬停态；<768px 交互目标 min-height 44px；`100dvh` + `100vh` 回退；`visualViewport` 键盘适配；`md-table` 横向滚动容器 + 边缘渐隐；图谱节点上限 30。
抽屉组件（B1 负责）：`.drawer-scrim`（fixed inset 0，`--pa-scrim`，fade-in）+ `.drawer`（fixed，宽 300px max，transform 滑入 300ms `--pa-ease-out`）。Esc 或点击 scrim 关闭。焦点进入抽屉时锁定 Tab 焦点在抽屉内，关闭后归还。
---
## 6. 主题初始化顺序（防止闪白）
`index.html` 中 `<html data-theme="dark">` 硬编码；`main.js` 中在 `createApp` **之前**同步执行：
```js
const t = localStorage.getItem('pa-theme');
if (t === 'light' || t === 'dark') document.documentElement.dataset.theme = t;
```
此后才挂载应用。theme store 仅管理运行时切换。
---
## 7. 组件类名复用约定
B2/B3 组件必须复用 B1 在 `styles/base.css` 与原型中定义的类名，**不得另起炉灶**：`app-shell`、`top-bar`、`logo`、`badge`、`session-panel`、`session-item`、`status-dot`、`chat-panel`、`msg`、`bubble`、`msg-head`、`agent-avatar`、`md-table`、`code-block`、`pipeline-card`、`p-step`、`tool-card`、`stream-wrap`、`stream-text`、`stream-cursor`、`shimmer-line`、`composer`、`mode-pill`、`send-btn`、`bench-panel`、`bench-tabs`、`bench-tab`、`chip`、`ft-item`、`prog-item`、`prog-track`、`prog-fill`、`preview-block`、`status-bar`、`agent-dot-item`、`drawer`、`drawer-scrim`。
frontend/.gitignore
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# frontend/.gitignore（最小版，B1 可扩展）
node_modules/
dist/
frontend/index.html
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<!DOCTYPE html>
<html lang="zh-CN" data-theme="dark">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1, viewport-fit=cover">
<title>海古纪 PlantAI · 知识工作台</title>
</head>
<body>
<div id="app"></div>
<script type="module" src="/src/main.js"></script>
</body>
</html>
frontend/package-lock.json
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frontend/package.json
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{
"name": "plantai-rag-new-frontend",
"version": "0.1.0",
"private": true,
"type": "module",
"scripts": {
"dev": "vite",
"build": "vite build",
"preview": "vite preview",
"test": "vitest run"
},
"dependencies": {
"vue": "3.5.13",
"pinia": "2.3.0",
"markdown-it": "14.1.0",
"dompurify": "3.2.3"
},
"devDependencies": {
"vite": "5.4.11",
"@vitejs/plugin-vue": "5.2.1",
"vitest": "2.1.8",
"@vue/test-utils": "2.4.6",
"jsdom": "25.0.1"
}
}
frontend/playwright.config.js
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// playwright.config.js —— T（测试 agent）归属。
// L5 端到端骨架：三档视口（TEST_PLAN §3），与 vitest（vitest.config.js）完全独立。
// 完整用例（按 docs/TEST_CASES.md 的 TC-E2E-*）在后续轮次以 spec 文件补齐到 ../tests/e2e/。
import { defineConfig } from '@playwright/test';
export default defineConfig({
testDir: '../tests/e2e',
testMatch: '**/*.spec.js',
// 2026-08-25 R2 加固（T 建议采纳）：真实 QA 流最长 ~92s 且上游串行排队会放大，
// 全局 timeout 提到 480s；各 spec 内对不含真实流的用例仍可用 test.setTimeout 收紧。
timeout: 480_000,
expect: { timeout: 10_000 },
fullyParallel: false, // 三项目串行，避免 dev server 端口与 mock 场景互相干扰
workers: 1,
retries: 0, // 测试轮次纪律：失败即记录，不自动重试掩盖缺陷
reporter: [['list']],
use: {
baseURL: 'http://127.0.0.1:5180',
browserName: 'chromium',
headless: true, // 远端可改 headed；本地保持无头
trace: 'retain-on-failure',
screenshot: 'only-on-failure',
},
projects: [
{
name: 'mobile',
use: {
viewport: { width: 390, height: 844 }, // iPhone 14
userAgent: 'Mozilla/5.0 (iPhone; CPU iPhone OS 16_0 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/16.0 Mobile/15E148 Safari/604.1',
isMobile: true,
hasTouch: true,
deviceScaleFactor: 3,
},
},
{
name: 'tablet',
use: { viewport: { width: 768, height: 1024 } }, // iPad
},
{
name: 'desktop',
use: { viewport: { width: 1440, height: 900 } },
},
],
webServer: {
command: 'npm run dev -- --strictPort',
url: 'http://127.0.0.1:5180',
timeout: 60_000,
reuseExistingServer: !process.env.CI,
// 复用已由 deploy/start-dev.sh 或手动拉起的 dev server（集成/远端场景）
},
});
frontend/src/App.vue
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<!-- App.vue —— B1 归属。挂载三栏 AppShell。 -->
<script setup>
import { onMounted, onUnmounted } from 'vue';
import AppShell from './components/layout/AppShell.vue';
import { useHealthStore } from './stores/health.js';
// FR-SHELL-007 首屏初始化：并行请求健康与 QA 元信息（失败不阻塞渲染）
const health = useHealthStore();
onMounted(() => {
health.start();
health.fetchQaInfo();
});
onUnmounted(() => {
health.stop();
});
</script>
<template>
<AppShell />
</template>
frontend/src/api/extraction.js
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// api/extraction.js —— 论文抽取任务（BFF 代理 8000/7900；B3 归属）
import { get, post } from './http.js';
/**
* 任务列表。上游无 progress 数值，progress_pct 由 BFF 按 stage 派生：
* queued=5 / mineru=35 / llm=75 / completed=100 / failed=null。
*/
export function listJobs({ limit = 20 } = {}) {
return get('/api/extraction/jobs', { limit });
}
/** 任务详情（stats 计数 + plan，plan 仅 completed 有） */
export function getJob(jobId) {
return get(`/api/extraction/jobs/${encodeURIComponent(jobId)}`);
}
/**
* 上传论文（multipart）。限制：仅 PDF，单文件 ≤50MB（BFF 校验，前端先行）。
* @param {File} file
* @returns {Promise<{success:boolean, job_id:string, status_url:string, message:string}>}
*/
export function uploadPaper(file, { paper_id, family, output_name } = {}) {
const form = new FormData();
form.append('file', file);
if (paper_id != null && paper_id !== '') form.append('paper_id', paper_id);
if (family != null && family !== '') form.append('family', family);
if (output_name != null && output_name !== '') form.append('output_name', output_name);
return post('/api/extraction/upload', form);
}
/** 运行日志：{text} 透传，rows 为空属正常现象 */
export function getRunLog() {
return get('/api/extraction/run-log');
}
/** 上游透传 {rows:[]}——rows 为空属正常（上游批次目录未配置），前端显示空态而非错误 */
export function getProcessingStatus() {
return get('/api/extraction/processing-status');
}
/** 上游透传 {rows:[]} */
export function getSummary() {
return get('/api/extraction/summary');
}
frontend/src/api/http.js
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// api/http.js —— B1 归属，B2/B3 复用。fetch 封装 + 统一错误信封解析。
// 契约（API.md §1）：非 2xx 与降级响应返回 {"ok":false,"error":{"code","message","degraded"}}。
// 网络错误与信封错误一律归一为结构化 ApiError。
//
// 超时策略（BUG-R1-07 修复，API.md 全表读超时：qa chat 300s / qa search 180s /
// extraction upload 600s / kg overview 60s / 邻域 30s）：
// - 默认读超时 600s = API.md 全表最大值。前端兜底永不先于 BFF 超时自断——
// 真实超时时由 BFF 返回 TIMEOUT 信封（504），前端展示契约文案「检索超时」，
// 而不是自己 fabricate 一个 NETWORK 错误。
// - 调用方可传 opts.timeout（毫秒）做更紧的超时（如已知快路径）；
// timeout: 0 表示不设超时。
// - SSE 流式（raw:true）不走读超时——上游最长 240s，由调用方 AbortSignal 控制生命周期。
//
// 查询参数（BUG-R1-01 修复）：get(path, params, opts) 的 params 经 URLSearchParams
// 序列化拼到 query string（undefined/null 跳过），匹配 B3 kg.js / extraction.js 的调用形态：
// get('/api/kg/entities', { q, limit }) → /api/kg/entities?q=…&limit=20
// get('/api/kg/entities/{id}/neighborhood', { depth, limit }) → …/neighborhood?depth=1&limit=50
export class ApiError extends Error {
constructor(message, { code = 'NETWORK', status = 0, degraded = false, cause } = {}) {
super(message);
this.name = 'ApiError';
this.code = code; // 信封 error.code，网络错误为 'NETWORK'
this.status = status; // HTTP 状态码，网络错误为 0
this.degraded = degraded; // true = 上游不可用（UI 走降级提示而非错误弹窗）
if (cause) this.cause = cause;
}
}
/** 默认读超时：API.md 全表最大值（extraction upload 600s）——前端兜底不得先于 BFF 超时 */
const DEFAULT_TIMEOUT_MS = 600000;
function buildQuery(params) {
if (!params) return '';
const sp = new URLSearchParams();
for (const [k, v] of Object.entries(params)) {
if (v === undefined || v === null) continue;
sp.set(k, String(v));
}
const qs = sp.toString();
return qs ? `?${qs}` : '';
}
async function request(path, { method = 'GET', body, headers = {}, timeout = DEFAULT_TIMEOUT_MS, signal, raw = false, params } = {}) {
// GET 的 params 序列化为 query string（BUG-R1-01）
let url = path;
if (method === 'GET' && params) url += buildQuery(params);
const opts = { method, headers: { ...headers }, signal };
if (body !== undefined && body !== null) {
if (typeof FormData !== 'undefined' && body instanceof FormData) {
// multipart（FR-EXTRACT-004 上传）：不设 Content-Type（浏览器自动带 boundary）
opts.body = body;
} else {
opts.headers['Content-Type'] = 'application/json';
opts.body = JSON.stringify(body);
}
}
let res;
try {
const ctrl = new AbortController();
// raw（SSE 流式）不设读超时；timeout:0 显式关闭
const t = raw || timeout === 0 ? null : setTimeout(() => ctrl.abort(), timeout);
res = await fetch(url, {
...opts,
signal: signal || ctrl.signal,
});
if (t) clearTimeout(t);
} catch (e) {
// AbortError 也可能是调用方主动中断流式请求——继续抛原始错误，由调用方处理
if (e.name === 'AbortError' && signal && signal.aborted) throw e;
throw new ApiError('网络异常，请检查连接', {
code: 'NETWORK',
degraded: false,
cause: e,
});
}
// raw:true —— 返回原始 Response 供 SSE 流式消费（B2 consumeSseStream）；
// 非 2xx 仍按统一错误信封抛 ApiError（HTTP 错误在流开始前就被拒绝）
if (raw) {
if (!res.ok) {
let payload = null;
if ((res.headers.get('content-type') || '').includes('application/json')) {
try {
payload = await res.json();
} catch {
payload = null;
}
}
if (payload && payload.ok === false && payload.error) {
throw new ApiError(payload.error.message || '服务错误', {
code: payload.error.code || 'INTERNAL',
status: res.status,
degraded: !!payload.error.degraded,
});
}
throw new ApiError(`请求失败（HTTP ${res.status}）`, { code: 'INTERNAL', status: res.status });
}
return res;
}
let payload = null;
const isJson = (res.headers.get('content-type') || '').includes('application/json');
if (isJson) {
try {
payload = await res.json();
} catch {
payload = null;
}
}
if (!res.ok) {
// 统一错误信封（API.md §1）
if (payload && payload.ok === false && payload.error) {
throw new ApiError(payload.error.message || '服务错误', {
code: payload.error.code || 'INTERNAL',
status: res.status,
degraded: !!payload.error.degraded,
});
}
throw new ApiError(`请求失败（HTTP ${res.status}）`, { code: 'INTERNAL', status: res.status });
}
return payload;
}
export const api = {
/** params 序列化为 query string（BUG-R1-01）；opts 可传 { timeout, signal, raw } */
get: (path, params = {}, opts = {}) => request(path, { ...opts, method: 'GET', params }),
/** body 为普通对象 → JSON；FormData → multipart。opts 可传 { timeout, signal, raw } */
post: (path, body, opts = {}) => request(path, { ...opts, method: 'POST', body }),
patch: (path, body, opts = {}) => request(path, { ...opts, method: 'PATCH', body }),
del: (path, opts = {}) => request(path, { ...opts, method: 'DELETE' }),
/** 原始 fetch（无封装），供 SSE 流式调用（B2 用 ReadableStream 消费 POST /api/qa/chat/stream） */
rawFetch: fetch,
};
// 命名导出（B2/B3 api/* 层按此 import；与 api 对象同函数，两种取法等价）
export const get = api.get;
export const post = api.post;
export const patch = api.patch;
export const del = api.del;
// 别名：B2 代码注释中的 HttpError 即 ApiError（统一错误信封，契约 API.md §1）
export const HttpError = ApiError;
frontend/src/api/kg.js
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// api/kg.js —— 知识图谱自由浏览（BFF Bolt 直连 Neo4j；B3 归属）
// 错误统一走 http.js 信封：所有非 2xx 抛 HttpError{status, code, message, degraded}
import { get } from './http.js';
export function kgStatus() {
return get('/api/kg/status');
}
export function kgOverview() {
return get('/api/kg/overview');
}
/**
* 实体搜索（name_norm 精确/前缀匹配，非模糊全文）。
* @param {string} q 查询词
* @param {number} [limit=20]
* @returns {Promise<{query:string, results:Array<{id,name,type,support_count}>}>}
*/
export function searchEntities(q, limit = 20) {
return get('/api/kg/entities', { q, limit });
}
/**
* 实体详情（id 为 canonical_id 或名字）。
* @returns {Promise<{id,name,type,properties:object}>}
*/
export function getEntity(id) {
return get(`/api/kg/entities/${encodeURIComponent(id)}`);
}
/**
* 邻域展开（depth 1-2，默认 1；limit ≤200）。
* @returns {Promise<{center,center_name,depth,nodes:Array,edges:Array}>}
*/
export function getNeighborhood(id, { depth = 1, limit = 50 } = {}) {
return get(`/api/kg/entities/${encodeURIComponent(id)}/neighborhood`, { depth, limit });
}
frontend/src/api/qa.js
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// api/qa.js —— QA 问答接口（B2 归属）
// 契约：docs/API.md §4。错误统一走 http.js 信封：
// 所有非 2xx 抛 HttpError{status, code, message, degraded}。
import { post, get } from './http.js';
import { consumeSseStream } from '../sse/parser.js';
/** QA 服务元信息（版本 + 12 段 pipeline 描述 + 配置） */
export function info() {
return get('/api/qa/info');
}
/** 非流式问答（POST /api/qa/chat），响应为归一化 QA 响应 */
export function chat(body) {
return post('/api/qa/chat', body);
}
/** 检索模式（POST /api/qa/search），BFF 强制 use_llm:false，只出证据不出答案 */
export function search(body) {
return post('/api/qa/search', body);
}
/**
* SSE 流式问答（POST /api/qa/chat/stream）。
* 帧事件类型（API.md §4）：
* progress / complete / error / timeout / raw /（无 event 名 → message）
*
* @param {object} body 请求体（由 config/modes.js 拼装 + question）
* @param {object} [handlers]
* @param {(ev: object) => void} [handlers.onProgress]
* @param {(ev: object) => void} [handlers.onComplete] payload 为归一化 QA 响应
* @param {(ev: object) => void} [handlers.onError] {code,message,retryable}
* @param {(ev: object) => void} [handlers.onRaw] raw 仅记录不渲染
* @param {(ev: object) => void} [handlers.onUnknown] 未知事件（含无 event 名的帧）
* @param {AbortSignal} [signal] 停止/中断（AbortController.signal）
* @returns {Promise<void>} 流自然结束 resolve；HTTP 错误抛 HttpError；
* abort / 网络中断抛 DOMException(AbortError)/TypeError —— 调用方统一映射文案
*/
export async function chatStream(body, { onProgress, onComplete, onError, onRaw, onUnknown, signal } = {}) {
const noop = () => {};
const resp = await post('/api/qa/chat/stream', body, { signal, raw: true });
const dispatch = {
progress: onProgress || noop,
complete: onComplete || noop,
error: onError || noop,
// timeout 帧与 error 帧同等对待；上游 payload 无 code 字段，此处统一补 TIMEOUT（PRD 错误映射）
timeout: (ev) => (onError || noop)({ ...ev, code: 'TIMEOUT' }),
raw: onRaw || noop,
};
await consumeSseStream(resp, (ev) => {
const fn = dispatch[ev.event] || onUnknown || noop;
fn({ ...ev, payload: ev.data });
});
}
frontend/src/api/sessions.js
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// api/sessions.js —— 会话与消息 CRUD（B2 归属）
// 契约：docs/API.md §5。错误统一走 http.js 信封。
import { get, post, patch, del } from './http.js';
/** GET /api/sessions —— 按 updated_at 倒序 */
export function listSessions() {
return get('/api/sessions');
}
/** POST /api/sessions —— 创建（可空 title，默认「新会话」），不预置空消息 */
export function createSession({ title } = {}) {
return post('/api/sessions', title ? { title } : {});
}
/** GET /api/sessions/{id} —— 会话 + messages 详情 */
export function getSession(id) {
return get(`/api/sessions/${encodeURIComponent(id)}`);
}
/** PATCH /api/sessions/{id} —— {title} 或 {status} */
export function updateSession(id, patchBody) {
return patch(`/api/sessions/${encodeURIComponent(id)}`, patchBody);
}
/** DELETE /api/sessions/{id} —— 204，级联删消息 */
export function deleteSession(id) {
return del(`/api/sessions/${encodeURIComponent(id)}`);
}
/** POST /api/sessions/{id}/messages —— 用户消息 / 助手流式骨架 */
export function createMessage(sessionId, body) {
return post(`/api/sessions/${encodeURIComponent(sessionId)}/messages`, body);
}
/** PATCH /api/sessions/{id}/messages/{mid} —— 流式检查点（~3s）与终态落库 */
export function updateMessage(sessionId, messageId, patchBody) {
return patch(
`/api/sessions/${encodeURIComponent(sessionId)}/messages/${encodeURIComponent(messageId)}`,
patchBody,
);
}
/** GET /api/sessions/{id}/sources —— 会话级来源聚合（按 paper_id 去重 + count） */
export function getSessionSources(id) {
return get(`/api/sessions/${encodeURIComponent(id)}/sources`);
}
frontend/src/components/bench/BenchPanel.vue
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<!-- BenchPanel.vue —— 右工作台四 tab（B3 归属）
FR-RETRIEVAL/SOURCE/EXTRACT/KG。类名复用 UI_SPEC §7：bench-panel / bench-tabs / bench-tab / bench-body / tab-pane。
折叠（右栏 28px 手柄条）由 B1 AppShell 的 .bench-collapsed 控制；本组件提供 `collapsed` props
与 setCollapsed 事件对接 B1 把手；折叠（含 <1024 收起态）时暂停提取轮询（FR-EXTRACT-005）。 -->
<script setup>
import { computed, ref } from 'vue';
import { useBenchStore } from '../../stores/bench.js';
import { BENCH_TABS } from '../../i18n/labels.js';
import { BENCH_LABELS } from './benchLabels.js';
import RetrievalPane from './RetrievalPane.vue';
import SourcesPane from './SourcesPane.vue';
import ExtractionPane from './ExtractionPane.vue';
import KgPane from './KgPane.vue';
const props = defineProps({
collapsed: { type: Boolean, default: false },
});
const emit = defineEmits(['collapse']);
const bench = useBenchStore();
const collapsedRef = ref(props.collapsed);
function toggleCollapse() {
collapsedRef.value = !collapsedRef.value;
bench.setCollapsed(collapsedRef.value);
// 收起态（含 <1024 强制收起）时暂停提取轮询（FR-EXTRACT-005）
if (collapsedRef.value) bench.pausePolling();
emit('collapse', collapsedRef.value);
}
function selectTab(key) {
bench.setActiveTab(key);
}
// 工作台按钮（移动端全屏覆盖层入口）需要的来源数角标（FR-RESP-003）
const sourceCount = computed(() => {
const s = bench.sources;
return s ? s.length : 0;
});
defineExpose({ sourceCount, activeTab: computed(() => bench.activeTab) });
</script>
<template>
<aside class="bench-panel" :class="{ 'collapsed-local': collapsedRef }">
<div class="inner">
<div class="bench-tabs" role="tablist">
<button
v-for="tb in BENCH_TABS"
:key="tb.key"
role="tab"
:aria-selected="bench.activeTab === tb.key"
:class="['bench-tab', { on: bench.activeTab === tb.key }]"
@click="selectTab(tb.key)"
>{{ tb.label }}</button>
</div>
<div class="bench-body">
<div v-if="bench.activeTab === 'retrieval'" class="tab-pane"><RetrievalPane /></div>
<div v-else-if="bench.activeTab === 'sources'" class="tab-pane"><SourcesPane /></div>
<div v-else-if="bench.activeTab === 'extract'" class="tab-pane"><ExtractionPane /></div>
<div v-else class="tab-pane"><KgPane /></div>
</div>
</div>
<div class="bench-handle">
<button
class="bench-handle-btn"
type="button"
:aria-label="collapsedRef ? BENCH_LABELS.benchExpand : BENCH_LABELS.benchCollapse"
@click="toggleCollapse"
>
<svg width="15" height="15" viewBox="0 0 24 24" fill="none" stroke="currentColor"
stroke-width="2.5" stroke-linecap="round" stroke-linejoin="round">
<path d="M9 18l6-6-6-6" />
</svg>
</button>
</div>
</aside>
</template>
<style scoped>
/* 复用 B1 base.css 的 .bench-* 类；此处仅补 B3 专属细节 */
.bench-panel {
display: flex;
flex-direction: column;
background: var(--pa-surface-1);
border-left: 1px solid var(--pa-hairline);
min-width: 0;
overflow: hidden;
transition: all 0.3s var(--pa-ease-out);
}
.inner {
display: flex;
flex-direction: column;
min-height: 0;
width: 380px;
transition: opacity 0.2s var(--pa-ease);
flex: 1;
}
.bench-tabs {
display: flex;
gap: 2px;
padding: 10px 14px 0;
border-bottom: 1px solid var(--pa-hairline);
}
.bench-tab {
position: relative;
padding: 8px 10px 9px;
font-size: 13px;
font-weight: 500;
color: var(--pa-ink-muted);
background: none;
border: none;
cursor: pointer;
transition: color 0.2s var(--pa-ease);
}
.bench-tab:hover { color: var(--pa-ink); }
.bench-tab.on { color: var(--pa-ink); font-weight: 600; }
.bench-tab.on::after {
content: '';
position: absolute;
left: 8px;
right: 8px;
bottom: -1px;
height: 2px;
background: var(--pa-gradient);
border-radius: 2px;
animation: fade-slide 0.25s var(--pa-ease-out);
}
.bench-body {
flex: 1;
overflow-y: auto;
padding: 14px;
min-height: 0;
}
.tab-pane { animation: fade-slide 0.2s var(--pa-ease-out); }
.bench-handle {
display: none;
width: 28px;
flex-direction: column;
align-items: center;
padding-top: 10px;
color: var(--pa-ink-subtle);
}
.bench-handle-btn {
width: 28px;
height: 34px;
display: flex;
align-items: center;
justify-content: center;
background: none;
border: none;
color: var(--pa-ink-subtle);
cursor: pointer;
}
.bench-handle-btn:hover { color: var(--pa-ink); }
/* 折叠态由 AppShell 的 .bench-collapsed 控制（B1），此处以 collapsed prop 同步 */
.collapsed-local .inner { opacity: 0; pointer-events: none; }
.collapsed-local .bench-handle { display: flex; }
.collapsed-local .bench-handle svg { transform: rotate(180deg); }
</style>
frontend/src/components/bench/ChainGroup.vue
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<!-- ChainGroup.vue —— 证据链分组（B3 归属）
FR-SOURCE-004：按 chain_id 分组，可展开为逐跳列表：源实体 —[关系]→ 目标实体，
每跳附 paper_id/PMID，跳数以徽章显示（labels.chainBadge）。 -->
<script setup>
import { computed } from 'vue';
import { T } from '../../i18n/labels.js';
const props = defineProps({
chain: { type: Object, required: true },
open: { type: Boolean, default: false },
});
const emit = defineEmits(['toggle']);
/** 归一化 hop 列表：兼容 {hops:[…]} 与直接数组两种形态（API.md §9） */
const hops = computed(() => {
const c = props.chain || {};
if (Array.isArray(c)) return c;
return Array.isArray(c.hops) ? c.hops : [];
});
const hopCount = computed(() => hops.value.length);
/** 每跳附 paper_id/PMID（真实 hop 字段见 API.md §7 链条容错） */
function hopRef(h) {
const refs = [];
if (h.pmid) refs.push(`PMID:${h.pmid}`);
else if (h.paper_id) refs.push(h.paper_id);
return refs.join(' · ');
}
</script>
<template>
<div class="chain-group">
<button class="chain-head" type="button" @click="emit('toggle')">
<svg class="chain-chev" :class="{ open }" width="12" height="12" viewBox="0 0 24 24" fill="none"
stroke="currentColor" stroke-width="2.5" stroke-linecap="round"><path d="M9 18l6-6-6-6" /></svg>
<span class="chain-id">{{ chain.chain_id || 'chain' }}</span>
<span class="badge chain-badge"><span class="dot"></span>{{ hopCount }} {{ T.chainBadge }}</span>
</button>
<div v-if="open" class="chain-body">
<div v-for="(h, i) in hops" :key="i" class="hop-item">
<span class="hop-idx">{{ i + 1 }}</span>
<span class="hop-text">
<span class="hop-ent">{{ h.source || h.from_name }}</span>
<span class="hop-rel">—[{{ h.relation || h.target_relation || '?' }}]→</span>
<span class="hop-ent">{{ h.target || h.to_name }}</span>
</span>
<span v-if="hopRef(h)" class="hop-ref">{{ hopRef(h) }}</span>
</div>
</div>
</div>
</template>
<style scoped>
.chain-group {
margin-bottom: 6px;
background: var(--pa-surface-1);
border: 1px solid var(--pa-hairline);
border-radius: var(--pa-r-md);
overflow: hidden;
}
.chain-head {
display: flex;
align-items: center;
gap: 8px;
width: 100%;
padding: 7px 10px;
background: none;
border: none;
cursor: pointer;
color: var(--pa-ink);
font-size: 12px;
text-align: left;
}
.chain-head:hover { background: var(--pa-surface-2); }
.chain-chev {
color: var(--pa-ink-subtle);
transition: transform 0.25s var(--pa-ease);
flex: none;
}
.chain-chev.open { transform: rotate(90deg); }
.chain-id {
flex: 1;
min-width: 0;
white-space: nowrap;
overflow: hidden;
text-overflow: ellipsis;
font-family: var(--pa-font-mono);
font-size: 11.5px;
}
.chain-badge {
color: var(--pa-ink-subtle);
background: var(--pa-surface-3);
flex: none;
}
.chain-badge .dot { display: none; }
.badge {
display: inline-flex;
align-items: center;
gap: 5px;
padding: 2px 10px;
border-radius: var(--pa-r-pill);
font-size: 11px;
font-weight: 500;
letter-spacing: 0.5px;
}
.badge .dot { width: 6px; height: 6px; border-radius: 50%; background: currentColor; }
.chain-body {
border-top: 1px solid var(--pa-hairline);
padding: 6px 10px 8px;
animation: fade-slide 0.2s var(--pa-ease-out);
display: flex;
flex-direction: column;
gap: 4px;
}
.hop-item {
display: flex;
align-items: baseline;
gap: 8px;
font-size: 11.5px;
line-height: 1.6;
}
.hop-idx {
flex: none;
font-family: var(--pa-font-mono);
font-size: 10.5px;
color: var(--pa-ink-subtle);
}
.hop-text { min-width: 0; word-break: break-word; }
.hop-ent { color: var(--pa-ink-muted); font-family: var(--pa-font-mono); }
.hop-rel { color: var(--pa-g-to); font-family: var(--pa-font-mono); margin: 0 2px; }
.hop-ref { color: var(--pa-ink-subtle); font-size: 10.5px; font-family: var(--pa-font-mono); flex: none; }
</style>
frontend/src/components/bench/ExtractionPane.vue
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<!-- ExtractionPane.vue —— 工作台 Tab3 提取任务（B3 归属）
FR-EXTRACT-001~006：prog-item 列表、详情展开（stats + plan 仅 completed）、run-log mono 滚动贴底、
上传（PDF ≤50MB 校验）、5s 轮询（存在 running 时；tab 切走由 BenchPanel 暂停）、离线降级。 -->
<script setup>
import { computed, nextTick, onMounted, ref, watch } from 'vue';
import { useBenchStore } from '../../stores/bench.js';
import { getRunLog, uploadPaper } from '../../api/extraction.js';
import { STATUS_LABEL, T } from '../../i18n/labels.js';
import { BENCH_LABELS } from './benchLabels.js';
import ProgressItem from './ProgressItem.vue';
const MAX_UPLOAD_BYTES = 50 * 1024 * 1024;
const bench = useBenchStore();
const openId = ref(null);
const fileInput = ref(null);
const uploadMsg = ref('');
const uploadOk = ref(false);
const uploading = ref(false);
const runLog = ref('');
const logOpen = ref(false);
const logError = ref(false);
const logBox = ref(null);
const jobs = computed(() => bench.jobs);
const detail = computed(() => (openId.value ? bench.getJobDetail(openId.value) : null));
const detailLoading = computed(() => bench.detailLoading);
const detailError = computed(() => bench.detailError);
function toggleJob(job) {
if (openId.value === job.job_id) {
openId.value = null;
return;
}
openId.value = job.job_id;
bench.loadJobDetail(job.job_id).catch(() => {});
}
function statsRows(job) {
const s = job?.stats || job || {};
return [
['stage', s.stage_count],
['species', s.species_count],
['figure_table', s.figure_table_caption_count],
['figure_table_stage', s.figure_table_stage_count],
].filter(([, v]) => v != null);
}
async function fetchRunLog() {
logError.value = false;
try {
const data = await getRunLog();
runLog.value = data?.text || '';
if (logOpen.value) await scrollLogToBottom();
} catch {
logError.value = true;
}
}
async function scrollLogToBottom() {
await nextTick();
if (logBox.value) logBox.value.scrollTop = logBox.value.scrollHeight;
}
function toggleLog() {
logOpen.value = !logOpen.value;
if (logOpen.value && !runLog.value) fetchRunLog();
else if (logOpen.value) scrollLogToBottom();
}
// ---- 上传（FR-EXTRACT-004：仅 PDF，单文件 ≤50MB；失败显示明确文案） ----
function pickFile() {
uploadMsg.value = '';
uploadOk.value = false;
fileInput.value?.click();
}
async function onFileChange(e) {
uploadMsg.value = '';
uploadOk.value = false;
const file = e.target.files?.[0];
if (e.target) e.target.value = '';
if (!file) return;
const isPdf = file.type === 'application/pdf' || /\.pdf$/i.test(file.name || '');
if (!isPdf) {
uploadMsg.value = T.extractUploadLimit;
return;
}
if (file.size > MAX_UPLOAD_BYTES) {
uploadMsg.value = T.extractUploadLimit;
return;
}
uploading.value = true;
try {
await uploadPaper(file);
uploadOk.value = true;
uploadMsg.value = '';
await bench.loadJobs({ force: true }).catch(() => {});
if (bench.isPolling()) bench.startPolling();
} catch (err) {
// 上游 message 已中文化，直接展示（PRD §2.2）
uploadMsg.value = (T.extractUploadFail || '上传失败：') + (err?.message || err?.error?.message || String(err));
} finally {
uploading.value = false;
}
}
// ---- 轮询生命周期（FR-EXTRACT-005）----
onMounted(() => {
bench.loadJobs({ force: true })
.then(() => {
if (!bench.hasActiveJobs) return;
if (!bench.isPolling()) bench.startPolling();
})
.catch(() => {});
});
watch(
() => bench.hasActiveJobs,
(has) => {
if (has && !bench.isPolling() && !bench.pollPaused && bench.activeTab === 'extract') {
bench.startPolling();
}
},
);
function retryLoad() {
bench.loadJobs({ force: true }).catch(() => {});
}
</script>
<template>
<div class="extraction-pane">
<!-- 离线降级（FR-EXTRACT-006，仅此 tab 受影响） -->
<div v-if="bench.jobsError" class="offline-block">
<span class="offline-dot"></span>
<span class="offline-text">{{ T.extractionDown }}</span>
<button class="retry-btn" @click="retryLoad">{{ T.retry }}</button>
</div>
<!-- 上传入口（FR-EXTRACT-004） -->
<div class="upload-row">
<button class="upload-btn" :disabled="uploading" @click="pickFile">{{ T.extractUpload }}</button>
<span class="upload-limit">{{ T.extractUploadLimit }}</span>
<input ref="fileInput" type="file" accept="application/pdf,.pdf" class="hidden-input" @change="onFileChange" />
</div>
<div v-if="uploading" class="upload-msg">{{ T.loading }}</div>
<div v-else-if="uploadMsg" class="upload-msg err">{{ uploadMsg }}</div>
<div v-else-if="uploadOk" class="upload-msg ok">{{ '✓' }}</div>
<!-- 运行日志（FR-EXTRACT-003，mono 滚动贴底） -->
<button class="log-toggle" @click="toggleLog">
<svg class="log-chev" :class="{ open: logOpen }" width="11" height="11" viewBox="0 0 24 24" fill="none"
stroke="currentColor" stroke-width="2.5" stroke-linecap="round"><path d="M9 18l6-6-6-6" /></svg>
<span>{{ BENCH_LABELS.extractRunLog }}</span>
</button>
<div v-if="logOpen" class="log-wrap">
<div v-if="logError" class="offline-text">{{ T.upstreamError }}</div>
<div v-else ref="logBox" class="run-log">{{ runLog || T.loading }}</div>
</div>
<!-- 空态 -->
<div v-if="!jobs.length && !bench.jobsLoading" class="empty-note">{{ T.extractEmpty }}</div>
<!-- 任务列表（FR-EXTRACT-001） -->
<div v-for="j in jobs" :key="j.job_id" class="job-block">
<ProgressItem :job="j" :open="openId === j.job_id" @toggle="toggleJob(j)" />
<!-- 详情展开（FR-EXTRACT-002） -->
<div v-if="openId === j.job_id" class="job-detail fade-slide">
<div v-if="detailLoading" class="detail-loading">{{ T.loading }}</div>
<div v-else-if="detailError || !detail" class="detail-error">{{ T.upstreamError }}
<button class="retry-btn" @click="bench.loadJobDetail(j.job_id).catch(() => {})">{{ T.retry }}</button>
</div>
<template v-else>
<div class="detail-row status-row">
<span class="dl-label">{{ T.labelGroup }}</span>
<span class="badge" :class="detail.status"><span class="dot"></span>{{ STATUS_LABEL[detail.status] || detail.status }}</span>
</div>
<div v-if="detail.message" class="detail-row">
<span class="dl-label">message</span>
<span class="dl-value">{{ detail.message }}</span>
</div>
<div class="detail-stats">
<div v-for="[k, v] in statsRows(detail)" :key="k" class="stat-item">
<span class="stat-v">{{ v }}</span>
<span class="stat-k">{{ k }}</span>
</div>
</div>
<!-- plan 仅 completed 有（FR-EXTRACT-002：未完成置 null 不显示且不报错） -->
<template v-if="detail.plan">
<div class="dl-label">plan</div>
<div class="plan-code">
<pre>{{ JSON.stringify(detail.plan, null, 2) }}</pre>
</div>
</template>
</template>
</div>
</div>
</div>
</template>
<style scoped>
.extraction-pane { display: flex; flex-direction: column; }
.offline-block {
display: flex;
align-items: center;
gap: 8px;
padding: 8px 12px;
margin-bottom: 10px;
background: rgba(255, 92, 122, 0.08);
border: 1px solid rgba(255, 92, 122, 0.35);
border-radius: var(--pa-r-md);
font-size: 12px;
color: var(--pa-error);
}
.offline-dot { width: 7px; height: 7px; border-radius: 50%; background: var(--pa-error); flex: none; }
.offline-text { font-size: 12px; color: var(--pa-error); }
.retry-btn {
padding: 2px 10px;
border-radius: var(--pa-r-pill);
font-size: 11.5px;
color: var(--pa-ink-muted);
border: 1px solid var(--pa-hairline);
background: none;
cursor: pointer;
margin-left: auto;
}
.retry-btn:hover { color: var(--pa-ink); }
.upload-row { display: flex; align-items: center; gap: 8px; margin-bottom: 6px; }
.upload-btn {
padding: 5px 14px;
border-radius: var(--pa-r-md);
font-size: 12.5px;
font-weight: 600;
color: #fff;
background: var(--pa-gradient);
border: none;
cursor: pointer;
}
.upload-btn:hover { box-shadow: 0 0 24px rgba(0, 212, 255, 0.4); transform: translateY(-1px); }
.upload-btn:disabled { opacity: 0.45; cursor: not-allowed; box-shadow: none; transform: none; }
.upload-limit { font-size: 11px; color: var(--pa-ink-subtle); }
.hidden-input { display: none; }
.upload-msg { font-size: 11.5px; margin: 4px 0 8px; color: var(--pa-ink-subtle); }
.upload-msg.err { color: var(--pa-error); word-break: break-word; }
.upload-msg.ok { color: var(--pa-success); }
.log-toggle {
display: flex;
align-items: center;
gap: 6px;
align-self: flex-start;
background: none;
border: none;
color: var(--pa-ink-subtle);
font-size: 11.5px;
cursor: pointer;
padding: 4px 0;
margin-bottom: 6px;
}
.log-toggle:hover { color: var(--pa-ink); }
.log-chev { transition: transform 0.25s var(--pa-ease); }
.log-chev.open { transform: rotate(90deg); }
.log-wrap { margin-bottom: 10px; }
.run-log {
font-family: var(--pa-font-mono);
font-size: 11.5px;
line-height: 1.8;
color: var(--pa-ink-muted);
background: var(--pa-code-bg);
border: 1px solid var(--pa-hairline);
border-radius: var(--pa-r-sm);
padding: 8px 10px;
max-height: 130px;
overflow-y: auto;
white-space: pre-wrap;
word-break: break-all;
}
.empty-note {
text-align: center;
color: var(--pa-ink-subtle);
font-size: 12px;
padding: 24px 8px;
}
.job-block { margin-bottom: 4px; }
.job-detail {
background: var(--pa-surface-1);
border: 1px solid var(--pa-hairline);
border-radius: var(--pa-r-md);
padding: 10px 12px;
margin: -8px 0 14px;
}
.fade-slide { animation: fade-slide 0.2s var(--pa-ease-out); }
.detail-loading, .detail-error { font-size: 12px; color: var(--pa-ink-subtle); padding: 4px 0; }
.detail-error { color: var(--pa-error); display: flex; align-items: center; gap: 8px; }
.detail-error .retry-btn { margin-left: 0; }
.detail-row { display: flex; align-items: baseline; gap: 8px; margin-bottom: 6px; font-size: 12px; }
.dl-label { font-size: 11px; letter-spacing: 0.5px; color: var(--pa-ink-subtle); margin: 8px 0 5px; flex: none; }
.status-row .dl-label { margin: 0; }
.dl-value { color: var(--pa-ink-muted); word-break: break-word; }
.badge {
display: inline-flex;
align-items: center;
gap: 5px;
padding: 2px 10px;
border-radius: var(--pa-r-pill);
font-size: 11px;
font-weight: 500;
letter-spacing: 0.5px;
}
.badge .dot { width: 6px; height: 6px; border-radius: 50%; background: currentColor; }
.badge.running, .badge.queued { color: var(--pa-warning); background: rgba(245, 184, 92, 0.12); }
.badge.running .dot { animation: pulse 2s infinite; }
.badge.completed { color: var(--pa-success); background: rgba(46, 211, 160, 0.12); }
.badge.failed { color: var(--pa-error); background: rgba(255, 92, 122, 0.12); }
.detail-stats { display: flex; gap: 6px; flex-wrap: wrap; margin: 6px 0; }
.stat-item {
display: flex;
align-items: baseline;
gap: 4px;
background: var(--pa-surface-2);
border: 1px solid var(--pa-hairline);
border-radius: var(--pa-r-sm);
padding: 3px 8px;
}
.stat-v { font-family: var(--pa-font-mono); font-size: 12.5px; color: var(--pa-ink); }
.stat-k { font-family: var(--pa-font-mono); font-size: 10.5px; color: var(--pa-ink-subtle); }
.plan-code {
font-family: var(--pa-font-mono);
font-size: 11px;
line-height: 1.6;
color: var(--pa-ink-muted);
background: var(--pa-code-bg);
border: 1px solid var(--pa-hairline);
border-radius: var(--pa-r-sm);
padding: 8px 10px;
max-height: 200px;
overflow-y: auto;
}
.plan-code pre { margin: 0; white-space: pre-wrap; word-break: break-all; }
</style>
frontend/src/components/bench/KgEntityDetail.vue
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<!-- KgEntityDetail.vue —— 实体详情侧滑面板（B3 归属）
FR-KG-003：点击节点 → 侧滑详情面板展示实体属性；Neo4j 可用时调 GET /api/kg/entities/{name}
拉全量属性；不可用时仅显示消息内已有属性。 -->
<script setup>
import { computed, onMounted, ref, watch } from 'vue';
import { getEntity } from '../../api/kg.js';
import { T } from '../../i18n/labels.js';
import { BENCH_LABELS } from './benchLabels.js';
const props = defineProps({
node: { type: Object, default: null }, // {id,label,type} 或消息 graph 节点
});
const emit = defineEmits(['close']);
const loading = ref(false);
const failed = ref(false);
const extra = ref(null); // Neo4j 全量属性
const localProps = computed(() => {
const n = props.node || {};
const out = {};
for (const [k, v] of Object.entries(n)) {
if (k === 'id' || k === 'label' || k === 'type') continue;
if (v == null || v === '') continue;
out[k] = v;
}
return out;
});
const propEntries = computed(() => {
const merged = { ...localProps.value, ...(extra.value?.properties || {}) };
return Object.entries(merged).filter(([, v]) => v != null && v !== '');
});
const nodeKey = computed(() => (props.node?.id != null ? String(props.node.id) : props.node?.label));
onMounted(() => {
fetchExtra();
});
watch(nodeKey, () => {
extra.value = null;
failed.value = false;
fetchExtra();
});
async function fetchExtra() {
const n = props.node;
if (!n) return;
const key = n.id != null ? String(n.id) : n.label;
if (!key) return;
loading.value = true;
failed.value = false;
try {
const data = await getEntity(key);
extra.value = data;
} catch {
failed.value = true; // Neo4j 不可用：仍显示消息内已有属性（FR-KG-003）
} finally {
loading.value = false;
}
}
function fmt(v) {
if (v && typeof v === 'object') {
try { return JSON.stringify(v); } catch { return String(v); }
}
return String(v);
}
</script>
<template>
<div class="kg-entity-detail">
<div class="detail-head">
<span class="detail-title">{{ T.kgEntityDetail }}</span>
<button class="close-btn" type="button" :aria-label="BENCH_LABELS.close" @click="emit('close')">✕</button>
</div>
<div v-if="node" class="detail-body">
<div class="ent-name">{{ node.label || node.id }}</div>
<div class="ent-meta">
<span class="ent-type">{{ node.type }}</span>
<span v-if="node.id && node.id !== node.label" class="ent-id">{{ node.id }}</span>
</div>
<div v-if="loading" class="detail-note">{{ T.loading }}</div>
<div class="prop-list">
<div v-for="[k, v] in propEntries" :key="k" class="prop-row">
<span class="prop-k">{{ k }}</span>
<span class="prop-v">{{ fmt(v) }}</span>
</div>
</div>
<div v-if="!propEntries.length && !loading" class="detail-note">—</div>
</div>
<div v-else class="detail-body">
<div class="detail-note">{{ T.upstreamError }}</div>
</div>
</div>
</template>
<style scoped>
.kg-entity-detail {
position: fixed;
top: var(--topbar-h);
right: 0;
bottom: var(--statusbar-h);
width: 300px;
max-width: 90vw;
background: var(--pa-surface-1);
border-left: 1px solid var(--pa-hairline-strong);
z-index: 40;
display: flex;
flex-direction: column;
animation: slide-in 0.3s var(--pa-ease-out);
box-shadow: -8px 0 24px rgba(10, 10, 16, 0.35);
}
@keyframes slide-in {
from { transform: translateX(24px); opacity: 0; }
to { transform: none; opacity: 1; }
}
.detail-head {
display: flex;
align-items: center;
justify-content: space-between;
padding: 10px 14px;
border-bottom: 1px solid var(--pa-hairline);
}
.detail-title { font-size: 12px; font-weight: 600; }
.close-btn {
width: 24px;
height: 24px;
border: none;
background: none;
color: var(--pa-ink-subtle);
cursor: pointer;
font-size: 12px;
border-radius: var(--pa-r-sm);
}
.close-btn:hover { color: var(--pa-ink); background: var(--pa-surface-2); }
.detail-body { flex: 1; overflow-y: auto; padding: 14px; }
.ent-name {
font-family: var(--pa-font-mono);
font-size: 14px;
font-weight: 600;
word-break: break-all;
margin-bottom: 6px;
}
.ent-meta { display: flex; gap: 8px; align-items: center; margin-bottom: 12px; }
.ent-type {
padding: 2px 8px;
border-radius: var(--pa-r-pill);
font-size: 11px;
background: var(--pa-surface-3);
color: var(--pa-ink-muted);
}
.ent-id { font-family: var(--pa-font-mono); font-size: 10.5px; color: var(--pa-ink-subtle); }
.detail-note { font-size: 12px; color: var(--pa-ink-subtle); padding: 8px 0; }
.prop-list { display: flex; flex-direction: column; gap: 6px; }
.prop-row { display: flex; gap: 8px; align-items: baseline; font-size: 12px; line-height: 1.5; }
.prop-k {
flex: none;
font-family: var(--pa-font-mono);
font-size: 10.5px;
color: var(--pa-g-to);
background: var(--pa-code-bg);
border: 1px solid var(--pa-hairline);
border-radius: var(--pa-r-sm);
padding: 1px 6px;
align-self: flex-start;
}
.prop-v { color: var(--pa-ink-muted); word-break: break-all; }
</style>
frontend/src/components/bench/KgGraphView.vue
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<!-- KgGraphView.vue —— 手写 SVG 力导向图谱渲染器（B3 归属）
FR-KG-001/002/006：节点圆点+标签、渐变边+关系名、type→稳定调色板、图例；
缩放 0.3–3×、拖拽平移、双击复位、触摸双指缩放/单指拖拽。
节点数超过上限时由 KgPane 决定降级列表视图（本组件仍可渲染，由父层把控）。 -->
<script setup>
import { computed, onBeforeUnmount, onMounted, ref } from 'vue';
import { forceLayout, buildPalette } from './graphLayout.js';
import { BENCH_LABELS } from './benchLabels.js';
const props = defineProps({
nodes: { type: Array, default: () => [] },
edges: { type: Array, default: () => [] },
height: { type: Number, default: 320 },
});
const emit = defineEmits(['node-click']);
const viewW = ref(800);
const viewH = ref(600);
const scale = ref(1);
const tx = ref(0);
const ty = ref(0);
const container = ref(null);
const layout = computed(() =>
forceLayout({ nodes: props.nodes, edges: props.edges }, { width: viewW.value, height: viewH.value }),
);
const colorOf = computed(() => {
const types = (props.nodes || []).map((n) => n?.type || 'unknown');
return buildPalette(types);
});
const renderEdges = computed(() => layout.value.edges);
const renderNodes = computed(() => layout.value.nodes);
const nodeById = computed(() => {
const m = new Map();
for (const n of props.nodes || []) m.set(String(n.id), n);
return m;
});
const viewBox = computed(() => `0 0 ${viewW.value} ${viewH.value}`);
// 图例：type → 颜色（按名称稳定排序）
const legendItems = computed(() => {
const counts = new Map();
for (const n of props.nodes || []) {
const t = n.type || 'unknown';
counts.set(t, (counts.get(t) || 0) + 1);
}
return [...counts.keys()].sort().map((t) => ({ type: t, color: colorOf.value.get(t), count: counts.get(t) }));
});
const transform = computed(() => `translate(${tx.value}px, ${ty.value}px) scale(${scale.value})`);
const clampScale = (v) => Math.min(3, Math.max(0.3, v));
// ---- 手势（指针事件统一处理鼠标与触摸）----
const pointers = new Map();
const pan = ref(null); // {x, y, tx, ty}
function setTransform(ns, nx, ny) {
scale.value = clampScale(ns);
tx.value = nx;
ty.value = ny;
}
function onPointerDown(e) {
container.value?.setPointerCapture?.(e.pointerId);
pointers.set(e.pointerId, { x: e.clientX, y: e.clientY });
if (pointers.size === 2) {
// 双指开始：记录初始距离与变换
const [p1, p2] = [...pointers.values()];
pan.value = {
x: (p1.x + p2.x) / 2,
y: (p1.y + p2.y) / 2,
tx: tx.value,
ty: ty.value,
dist: Math.hypot(p1.x - p2.x, p1.y - p2.y),
scale: scale.value,
};
} else if (pointers.size === 1) {
pan.value = { x: e.clientX, y: e.clientY, tx: tx.value, ty: ty.value, dist: null, scale: scale.value };
}
}
function onPointerMove(e) {
if (!pointers.has(e.pointerId)) return;
pointers.set(e.pointerId, { x: e.clientX, y: e.clientY });
if (pointers.size >= 2) {
// 双指：缩放 + 平移（FR-KG-006）
const [p1, p2] = [...pointers.values()];
const dist = Math.hypot(p1.x - p2.x, p1.y - p2.y);
if (pan.value && pan.value.dist != null && pan.value.dist > 0) {
const ns = clampScale(pan.value.scale * (dist / pan.value.dist));
const cx = (p1.x + p2.x) / 2;
const cy = (p1.y + p2.y) / 2;
const nx = pan.value.tx + (cx - pan.value.x);
const ny = pan.value.ty + (cy - pan.value.y);
setTransform(ns, nx, ny);
}
return;
}
if (pointers.size === 1 && pan.value) {
tx.value = pan.value.tx + (e.clientX - pan.value.x);
ty.value = pan.value.ty + (e.clientY - pan.value.y);
}
}
function onPointerUp(e) {
pointers.delete(e.pointerId);
if (pointers.size === 1) {
const [p] = [...pointers.values()];
pan.value = { x: p.x, y: p.y, tx: tx.value, ty: ty.value, dist: null, scale: scale.value };
} else if (pointers.size === 0) {
pan.value = null;
}
}
// 滚轮缩放（以鼠标位置为锚点）
function onWheel(e) {
e.preventDefault();
const rect = container.value?.getBoundingClientRect();
if (!rect) return;
const factor = e.deltaY < 0 ? 1.12 : 1 / 1.12;
const ns = clampScale(scale.value * factor);
const px = e.clientX - rect.left;
const py = e.clientY - rect.top;
const nx = px - ((px - tx.value) * ns) / scale.value;
const ny = py - ((py - ty.value) * ns) / scale.value;
setTransform(ns, nx, ny);
}
function resetView() {
setTransform(1, 0, 0);
}
function onClickNode(n) {
emit('node-click', nodeById.value.get(n.id) || { id: n.id, label: n.label, type: n.type });
}
// 挂载时测量容器宽度以设定视口宽
let ro = null;
onMounted(() => {
const el = container.value;
if (!el) return;
const apply = () => {
const w = el.clientWidth || 348;
viewW.value = Math.max(320, Math.round(w * 2));
viewH.value = Math.max(300, Math.round(props.height * 2));
};
apply();
if (typeof ResizeObserver !== 'undefined') {
ro = new ResizeObserver(apply);
ro.observe(el);
}
});
onBeforeUnmount(() => {
ro?.disconnect();
});
</script>
<template>
<div class="kg-graph">
<div
ref="container"
class="graph-canvas"
:style="{ height: height + 'px' }"
@pointerdown="onPointerDown"
@pointermove="onPointerMove"
@pointerup="onPointerUp"
@pointercancel="onPointerUp"
@wheel.prevent="onWheel"
@dblclick="resetView"
>
<svg class="graph-svg" :viewBox="viewBox" preserveAspectRatio="xMidYMid meet">
<defs>
<linearGradient id="pa-edge-grad" x1="0%" y1="0%" x2="100%" y2="0%">
<stop offset="0%" stop-color="#5E6AD2" />
<stop offset="100%" stop-color="#00D4FF" />
</linearGradient>
</defs>
<g :style="{ transform: transform, transformOrigin: '0 0' }">
<g v-for="(e, i) in renderEdges" :key="'e' + i" class="edge-g">
<line
:x1="renderNodes.find(n => n.id === e.source)?.x ?? 0"
:y1="renderNodes.find(n => n.id === e.source)?.y ?? 0"
:x2="renderNodes.find(n => n.id === e.target)?.x ?? 0"
:y2="renderNodes.find(n => n.id === e.target)?.y ?? 0"
stroke="url(#pa-edge-grad)"
stroke-width="1.2"
stroke-opacity="0.65"
/>
<text
v-if="e.relation"
class="edge-label"
:x="((renderNodes.find(n => n.id === e.source)?.x ?? 0) + (renderNodes.find(n => n.id === e.target)?.x ?? 0)) / 2"
:y="((renderNodes.find(n => n.id === e.source)?.y ?? 0) + (renderNodes.find(n => n.id === e.target)?.y ?? 0)) / 2"
>{{ e.relation }}</text>
</g>
<g v-for="n in renderNodes" :key="'n' + n.id" class="node-g" @click="onClickNode(n)">
<circle :cx="n.x" :cy="n.y" :r="7" :fill="colorOf.get(n.type)" stroke="var(--pa-surface-1)" stroke-width="1.5" />
<text :x="n.x" :y="n.y + 3.2" text-anchor="middle" class="node-label">{{ n.label }}</text>
</g>
</g>
</svg>
<div class="graph-tools">
<button class="reset-btn" type="button" :title="BENCH_LABELS.resetView" @click="resetView">⟲</button>
</div>
</div>
<div v-if="legendItems.length" class="kg-legend">
<span v-for="l in legendItems" :key="l.type" class="lg-item">
<span class="lg-dot" :style="{ background: l.color }"></span>
<span class="lg-type">{{ l.type }}</span>
<span class="lg-count">{{ l.count }}</span>
</span>
</div>
</div>
</template>
<style scoped>
.kg-graph { display: flex; flex-direction: column; }
.graph-canvas {
position: relative;
width: 100%;
overflow: hidden;
border: 1px solid var(--pa-hairline);
border-radius: var(--pa-r-lg);
background: var(--pa-code-bg);
cursor: grab;
touch-action: none;
user-select: none;
}
.graph-canvas:active { cursor: grabbing; }
.graph-svg { width: 100%; height: 100%; display: block; }
.graph-svg :deep(g) { transition: transform 0.08s linear; }
.node-g { cursor: pointer; }
.node-g circle { transition: fill 0.15s var(--pa-ease); }
.node-g:hover circle { stroke: var(--pa-ink); stroke-width: 2; }
.node-label {
font-family: var(--pa-font-mono);
font-size: 11px;
fill: var(--pa-ink);
paint-order: stroke;
stroke: var(--pa-code-bg);
stroke-width: 3px;
pointer-events: none;
}
.edge-label {
font-family: var(--pa-font-mono);
font-size: 9px;
fill: var(--pa-ink-subtle);
paint-order: stroke;
stroke: var(--pa-code-bg);
stroke-width: 2.5px;
pointer-events: none;
}
.graph-tools { position: absolute; top: 8px; right: 8px; display: flex; gap: 6px; }
.reset-btn {
width: 26px;
height: 26px;
border-radius: var(--pa-r-sm);
border: 1px solid var(--pa-hairline);
background: var(--pa-surface-1);
color: var(--pa-ink-muted);
font-size: 13px;
cursor: pointer;
display: flex;
align-items: center;
justify-content: center;
}
.reset-btn:hover { color: var(--pa-ink); background: var(--pa-surface-2); }
.kg-legend { display: flex; gap: 10px; flex-wrap: wrap; margin-top: 8px; }
.lg-item { display: inline-flex; align-items: center; gap: 4px; font-size: 11px; color: var(--pa-ink-muted); }
.lg-dot { width: 8px; height: 8px; border-radius: 50%; flex: none; }
.lg-type { font-family: var(--pa-font-ui); }
.lg-count { font-family: var(--pa-font-mono); color: var(--pa-ink-subtle); font-size: 10px; }
</style>
frontend/src/components/bench/KgPane.vue
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<!-- KgPane.vue —— 工作台 Tab4 知识图谱（B3 归属）
FR-KG-001~008：答案图谱渲染（graph 块）、节点着色图例、节点详情侧滑、实体搜索、
邻域深度 1/2、离线降级（答案图谱仍可用）、空态、>50 节点（移动端 >30）降级列表视图。 -->
<script setup>
import { computed, onMounted, ref, watch } from 'vue';
import { useBenchStore } from '../../stores/bench.js';
import { searchEntities, getNeighborhood } from '../../api/kg.js';
import { T } from '../../i18n/labels.js';
import { BENCH_LABELS } from './benchLabels.js';
import KgGraphView from './KgGraphView.vue';
import KgEntityDetail from './KgEntityDetail.vue';
const bench = useBenchStore();
const query = ref('');
const results = ref([]);
const searching = ref(false);
const searchError = ref(false);
const detailNode = ref(null);
const graphData = ref(null); // 当前渲染的 {nodes, edges}（答案图谱或邻域结果）
const graphSource = ref(null); // 'answer' | 'neighborhood'
const listModeForced = ref(false);
const isMobile = () => (typeof window !== 'undefined' ? window.innerWidth < 768 : false);
// 答案图谱（永远可用，FR-KG-007）
const answerGraph = computed(() => {
const g = bench.currentGraph;
if (!g) return null;
const nodes = Array.isArray(g.nodes) ? g.nodes : [];
const edges = Array.isArray(g.edges) ? g.edges : [];
return nodes.length ? { nodes, edges } : null;
});
// 节点上限：桌面 50 / 移动端 30（FR-KG-001、FR-RESP-012）
const nodeLimit = computed(() => bench.kgNodeLimit || 50);
const isDegradedList = computed(() => {
if (listModeForced.value) return true;
const g = graphData.value;
return !!g && g.nodes.length > nodeLimit.value;
});
const depth = ref(1);
const neighborhoodMeta = ref(null);
const itemsWithEdges = computed(() => {
const g = graphData.value;
if (!g) return [];
const edges = g.edges || [];
return g.nodes.map((n) => {
const related = edges.filter((e) => e.source === n.id || e.target === n.id);
return { ...n, edgeCount: related.length, relations: [...new Set(related.map((e) => e.relation || e.label))] };
});
});
onMounted(() => {
if (isMobile()) bench.setKgNodeLimit(30);
// 答案图谱为空时，若 Neo4j 可用可自由浏览；状态探测放 kg tab 激活时
if (bench.kgStatus == null) {
bench.checkKgStatus().catch(() => {});
}
});
// 切会话/切消息后重置浏览态（答案图谱跟随变化）
watch(answerGraph, (g) => {
if (g) {
graphData.value = g;
graphSource.value = 'answer';
listModeForced.value = false;
}
});
// ---- 实体搜索（FR-KG-004，精确/前缀匹配，无全文索引）----
async function onSearch() {
const q = query.value.trim();
if (!q) return;
if (!bench.kgReady) {
searchError.value = true;
return;
}
searching.value = true;
searchError.value = false;
try {
const data = await searchEntities(q, 20);
results.value = data?.results || [];
} catch {
searchError.value = true;
} finally {
searching.value = false;
}
}
// ---- 邻域展开（FR-KG-005，depth 1/2 默认 1；两跳约 13s 需提示较慢）----
const loadingNeighborhood = ref(false);
const neighborhoodError = ref(false);
const slowNotice = ref(false);
async function loadNeighborhood(id, name) {
if (!bench.kgReady) {
neighborhoodError.value = true;
return;
}
loadingNeighborhood.value = true;
neighborhoodError.value = false;
slowNotice.value = false;
try {
const data = await getNeighborhood(id, { depth: depth.value, limit: 50 });
graphData.value = { nodes: data.nodes || [], edges: data.edges || [] };
graphSource.value = 'neighborhood';
neighborhoodMeta.value = data;
results.value = [];
slowNotice.value = depth.value === 2;
} catch {
neighborhoodError.value = true;
} finally {
loadingNeighborhood.value = false;
}
}
function onSelectResult(r) {
detailNode.value = null;
loadNeighborhood(r.id, r.name);
}
function onNodeClick(n) {
detailNode.value = n;
}
function onDepthChange(v) {
depth.value = v;
const meta = neighborhoodMeta.value;
if (meta?.center) loadNeighborhood(meta.center, meta.center_name);
}
// 离线态：Neo4j 不可用 → 搜索与邻域禁用（FR-KG-007）
const kgDown = computed(() => !bench.kgReady && bench.kgStatus != null);
</script>
<template>
<div class="kg-pane">
<!-- 离线降级（FR-KG-007：答案图谱仍可用） -->
<div v-if="kgDown" class="offline-block">
<span class="offline-dot"></span>
<span class="offline-text">{{ T.kgDown }}</span>
</div>
<!-- 答案图谱 / 邻域结果 -->
<template v-if="graphData && graphData.nodes.length">
<div v-if="isDegradedList" class="degrade-note">
{{ BENCH_LABELS.kgDegradedListPrefix }} {{ nodeLimit }}{{ BENCH_LABELS.kgDegradedListSuffix }}
</div>
<template v-if="isDegradedList">
<div class="node-list">
<div v-for="n in itemsWithEdges" :key="n.id" class="node-list-item" @click="onNodeClick(n)">
<span class="nl-name">{{ n.label }}</span>
<span class="nl-meta">
<span class="nl-type">{{ n.type }}</span>
<span v-if="n.edgeCount" class="nl-edges">{{ n.edgeCount }} {{ BENCH_LABELS.kgRelationUnit }}</span>
</span>
</div>
</div>
</template>
<template v-else>
<KgGraphView :nodes="graphData.nodes" :edges="graphData.edges" :height="320" @node-click="onNodeClick" />
</template>
<div v-if="graphSource === 'neighborhood'" class="nb-meta">
<span class="nb-center">{{ neighborhoodMeta?.center_name }}</span>
<span class="nb-count">{{ graphData.nodes.length }} {{ BENCH_LABELS.kgNodeUnit }} · {{ (graphData.edges || []).length }} {{ BENCH_LABELS.kgEdgeUnit }}</span>
<span v-if="slowNotice" class="nb-slow">{{ BENCH_LABELS.kgDepth2NeighborhoodSlow }}</span>
</div>
</template>
<!-- 空态（FR-KG-008，不显示空画布） -->
<div v-else-if="!loadingNeighborhood" class="empty-note">{{ T.kgEmpty }}</div>
<!-- 自由浏览区（FR-KG-004/005） -->
<div class="kg-browse">
<div class="search-row">
<input
v-model="query"
class="search-box"
type="text"
:placeholder="T.kgSearchPlaceholder"
:disabled="kgDown"
@keydown.enter="onSearch"
/>
<button class="search-btn" :disabled="kgDown || searching" @click="onSearch">
{{ searching ? T.loading : BENCH_LABELS.kgSearch }}
</button>
</div>
<div v-if="searchError" class="offline-text">{{ T.kgDown }}</div>
<div v-if="results.length" class="search-results">
<div v-for="r in results" :key="r.id" class="result-item" @click="onSelectResult(r)">
<span class="rs-name">{{ r.name }}</span>
<span class="rs-meta">{{ r.type }} · {{ r.support_count ?? 0 }}</span>
</div>
</div>
<div v-if="neighborhoodError" class="offline-text">{{ T.kgDown }}</div>
<!-- 邻域深度选择（默认 1，FR-KG-005） -->
<div v-if="neighborhoodMeta" class="depth-row">
<span class="depth-label">{{ T.kgDepth }}</span>
<button :class="['chip', { on: depth === 1 }]" @click="onDepthChange(1)">1</button>
<button :class="['chip', { on: depth === 2 }]" @click="onDepthChange(2)">2</button>
<span class="depth-hint">{{ BENCH_LABELS.kgDepth2SlowHint }}</span>
</div>
</div>
<!-- 实体详情侧滑（FR-KG-003） -->
<KgEntityDetail v-if="detailNode" :node="detailNode" @close="detailNode = null" />
</div>
</template>
<style scoped>
.kg-pane { display: flex; flex-direction: column; gap: 10px; }
.offline-block {
display: flex;
align-items: center;
gap: 8px;
padding: 8px 12px;
background: rgba(255, 92, 122, 0.08);
border: 1px solid rgba(255, 92, 122, 0.35);
border-radius: var(--pa-r-md);
font-size: 12px;
color: var(--pa-error);
}
.offline-dot { width: 7px; height: 7px; border-radius: 50%; background: var(--pa-error); flex: none; }
.offline-text { font-size: 12px; color: var(--pa-error); }
.degrade-note { font-size: 11.5px; color: var(--pa-ink-subtle); }
.node-list {
display: flex;
flex-direction: column;
max-height: 320px;
overflow-y: auto;
border: 1px solid var(--pa-hairline);
border-radius: var(--pa-r-md);
}
.node-list-item {
display: flex;
align-items: center;
justify-content: space-between;
gap: 8px;
padding: 7px 10px;
font-size: 12px;
cursor: pointer;
transition: background 0.15s var(--pa-ease);
}
.node-list-item:hover { background: var(--pa-surface-2); }
.nl-name {
font-family: var(--pa-font-mono);
min-width: 0;
white-space: nowrap;
overflow: hidden;
text-overflow: ellipsis;
color: var(--pa-ink);
}
.nl-meta { display: flex; gap: 6px; align-items: center; flex: none; }
.nl-type { font-size: 10.5px; color: var(--pa-ink-subtle); }
.nl-edges { font-family: var(--pa-font-mono); font-size: 10.5px; color: var(--pa-ink-muted); }
.empty-note {
text-align: center;
color: var(--pa-ink-subtle);
font-size: 12px;
padding: 24px 8px;
}
.kg-browse { display: flex; flex-direction: column; gap: 8px; }
.search-row { display: flex; gap: 6px; }
.search-box {
flex: 1;
min-width: 0;
height: 34px;
padding: 0 10px;
border-radius: var(--pa-r-md);
border: 1px solid var(--pa-hairline);
background: var(--pa-surface-2);
color: var(--pa-ink);
font-size: 12.5px;
}
.search-box:focus { outline: none; border-color: var(--pa-g-to); box-shadow: 0 0 14px rgba(0, 212, 255, 0.18); }
.search-box:disabled { opacity: 0.5; }
.search-btn {
flex: none;
padding: 0 14px;
height: 34px;
border-radius: var(--pa-r-md);
border: none;
background: var(--pa-gradient);
color: #fff;
font-size: 12.5px;
font-weight: 600;
cursor: pointer;
}
.search-btn:disabled { opacity: 0.45; cursor: not-allowed; }
.search-results {
border: 1px solid var(--pa-hairline);
border-radius: var(--pa-r-md);
max-height: 180px;
overflow-y: auto;
}
.result-item {
display: flex;
align-items: center;
justify-content: space-between;
gap: 8px;
padding: 6px 10px;
font-size: 12px;
cursor: pointer;
transition: background 0.15s var(--pa-ease);
}
.result-item:hover { background: var(--pa-surface-2); }
.rs-name {
font-family: var(--pa-font-mono);
min-width: 0;
white-space: nowrap;
overflow: hidden;
text-overflow: ellipsis;
color: var(--pa-ink);
}
.rs-meta { flex: none; font-family: var(--pa-font-mono); font-size: 10.5px; color: var(--pa-ink-subtle); }
.depth-row { display: flex; align-items: center; gap: 6px; }
.depth-label { font-size: 11.5px; color: var(--pa-ink-subtle); margin-right: 2px; }
.chip {
width: 26px;
height: 24px;
display: flex;
align-items: center;
justify-content: center;
border-radius: var(--pa-r-pill);
font-size: 11.5px;
color: var(--pa-ink-muted);
border: 1px solid var(--pa-hairline);
background: none;
cursor: pointer;
transition: all 0.18s var(--pa-ease);
}
.chip:hover { color: var(--pa-ink); }
.chip.on { color: #fff; background: var(--pa-g-from); border-color: transparent; }
.depth-hint { font-size: 10.5px; color: var(--pa-ink-subtle); }
.nb-meta { display: flex; gap: 8px; align-items: baseline; font-size: 11px; color: var(--pa-ink-subtle); }
.nb-center { font-family: var(--pa-font-mono); color: var(--pa-ink-muted); }
.nb-count { font-family: var(--pa-font-mono); }
.nb-slow { color: var(--pa-warning); }
</style>
frontend/src/components/bench/ProgressItem.vue
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<!-- ProgressItem.vue —— 提取任务进度条（B3 归属）
FR-EXTRACT-001：prog-item 视觉——任务名 + mono 百分比 + 6px 轨道 + 渐变填充 + sweep 扫光；
100% 转 success 停扫光；failed 显示错误态不显示进度条。 -->
<script setup>
import { computed } from 'vue';
import { STATUS_LABEL } from '../../i18n/labels.js';
const props = defineProps({
job: { type: Object, required: true },
open: { type: Boolean, default: false },
});
const emit = defineEmits(['toggle']);
const pct = computed(() => props.job?.progress_pct);
const isFailed = computed(() => props.job?.status === 'failed');
const isFull = computed(() => pct.value != null && pct.value >= 100);
function toggle() {
emit('toggle');
}
</script>
<template>
<div class="prog-item" :class="{ failed: isFailed, clickable: true }">
<div class="pi-head" role="button" tabindex="0" @click="toggle" @keydown.enter="toggle" @keydown.space.prevent="toggle">
<span class="pi-name" :title="job.title">{{ job.title }}</span>
<span v-if="isFailed" class="pi-pct err">{{ STATUS_LABEL.error }}</span>
<span v-else-if="pct != null" class="pi-pct" :class="{ ok: isFull }">{{ pct }}%</span>
</div>
<div v-if="!isFailed && pct != null" class="prog-track">
<div class="prog-fill" :class="{ full: isFull }" :style="{ width: Math.min(100, Math.max(0, pct)) + '%' }"></div>
</div>
<div v-if="isFailed && job.message" class="pi-errmsg">{{ job.message }}</div>
<div v-if="job.message && !isFailed" class="pi-msg">{{ job.message }}</div>
<div v-if="open" class="pi-chev-row">
<svg class="pi-chev open" width="12" height="12" viewBox="0 0 24 24" fill="none"
stroke="currentColor" stroke-width="2.5" stroke-linecap="round"><path d="M9 18l6-6-6-6" /></svg>
</div>
</div>
</template>
<style scoped>
.prog-item { margin-bottom: 16px; }
.prog-item.failed { padding: 8px 10px; border: 1px solid var(--pa-hairline); border-radius: var(--pa-r-md); background: var(--pa-surface-1); }
.pi-head {
display: flex;
justify-content: space-between;
align-items: baseline;
gap: 8px;
margin-bottom: 6px;
cursor: pointer;
}
.pi-head:focus-visible { outline: 2px solid rgba(94, 106, 210, 0.5); outline-offset: 1px; }
.pi-name {
font-size: 13px;
font-weight: 600;
min-width: 0;
white-space: nowrap;
overflow: hidden;
text-overflow: ellipsis;
}
.pi-pct { font-family: var(--pa-font-mono); font-size: 12px; color: var(--pa-ink-muted); flex: none; }
.pi-pct.ok { color: var(--pa-success); }
.pi-pct.err { color: var(--pa-error); font-weight: 600; }
.prog-track { height: 6px; border-radius: 3px; background: var(--pa-surface-3); overflow: hidden; position: relative; }
.prog-fill {
height: 100%;
border-radius: 3px;
background: var(--pa-gradient);
position: relative;
overflow: hidden;
transition: width 0.5s var(--pa-ease);
}
.prog-fill::after {
content: '';
position: absolute;
top: 0;
bottom: 0;
left: 0;
width: 200%;
background: linear-gradient(100deg, transparent 20%, rgba(255, 255, 255, 0.45) 50%, transparent 80%);
will-change: transform;
animation: sweep 2.4s infinite;
}
.prog-fill.full { background: var(--pa-success); }
.prog-fill.full::after { animation: none; }
.pi-msg { font-size: 11.5px; color: var(--pa-ink-subtle); margin-top: 5px; }
.pi-errmsg {
font-size: 11.5px;
color: var(--pa-error);
margin-top: 6px;
line-height: 1.5;
word-break: break-word;
}
</style>
frontend/src/components/bench/RetrievalPane.vue
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<!-- RetrievalPane.vue —— 工作台 Tab1 检索过程（B3 归属）
FR-RETRIEVAL-001~006：阶段卡列表（每 SSE progress 事件一张）、相位筛选 chips、
retrieval_plan 信息块、运行中 shimmer、空态。 -->
<script setup>
import { computed, ref } from 'vue';
import { getActivePinia } from 'pinia';
import { useBenchStore } from '../../stores/bench.js';
import { TOOL_FILTERS, PHASE_LABEL, PHASE_COLOR_VAR, PHASE_DESC, T } from '../../i18n/labels.js';
import { BENCH_LABELS } from './benchLabels.js';
const bench = useBenchStore();
const phaseIcons = { planning: '◇', retrieval: '⌕', evidence: '⚖', generation: '✎', done: '✓' };
/** 流是否已终态（done/error/停止）——终态后所有阶段卡必须收口为 done，
* 否则非 done 相位的卡片会永远停留在「运行中」+ shimmer（2026-08-25 修复）。
* 只认 completed 事件收口是不够的：上游 completed 只影响它自己那张卡。 */
const streamFinished = computed(() => {
const msg = bench.currentAssistantMessage;
if (!msg) return false;
try {
const chat = getActivePinia()?._s.get('chat');
return !!chat && !chat.busy && msg.status !== 'streaming';
} catch {
return false;
}
});
// 每张卡的状态：流已终态 → 全部 done；否则仅完成相位是 done，其余 running（FR-RETRIEVAL-004）
const cardStates = computed(() => {
const byStage = new Map();
const order = [];
for (const e of bench.stageEvents) {
if (!byStage.has(e.stage)) {
byStage.set(e.stage, { count: 0, last: e, first: e });
order.push(e.stage);
}
const g = byStage.get(e.stage);
g.count += 1;
g.last = e;
}
const isDone = (g) => streamFinished.value || g.last.phase === 'done';
return order.map((stage) => {
const g = byStage.get(stage);
return { stage, group: g, status: isDone(g) ? 'done' : 'running' };
});
});
const filtered = computed(() => {
const f = bench.phaseFilter;
return f === 'all'
? cardStates.value
: cardStates.value.filter((c) => c.group.last.phase === f);
});
const plan = computed(() => {
const msg = bench.currentAssistantMessage;
if (!msg) return null;
return msg.retrieval_plan || msg.raw?.retrieval_plan || null;
});
// 展开状态本地管理：运行中的卡默认展开，完成后自动折叠（FR-RETRIEVAL-003）
const open = ref({});
function isOpen(stage) {
if (stage in open.value) return open.value[stage];
const c = cardStates.value.find((x) => x.stage === stage);
return c ? c.status === 'running' : false;
}
function toggle(stage) {
open.value = { ...open.value, [stage]: !isOpen(stage) };
}
// 耗时 mono（mm:ss 或 s，未完成带 +）
function fmtDur(ms) {
if (!ms || !isFinite(ms) || ms <= 0) return '';
const s = Math.round(ms / 1000);
const m = Math.floor(s / 60);
const r = s % 60;
const base = m > 0 ? `${m}m${String(r).padStart(2, '0')}s` : `${r}s`;
return base;
}
function detailLines(details) {
if (!details) return [];
return Object.entries(details).map(([k, v]) => {
let val = v;
if (Array.isArray(v)) val = v.join(', ');
else if (v && typeof v === 'object') {
try { val = JSON.stringify(v); } catch { val = String(v); }
}
return `${k}: ${val}`;
});
}
</script>
<template>
<div class="retrieval-pane">
<!-- 检索计划信息块（FR-RETRIEVAL-005，无则整块不显示） -->
<div v-if="plan" class="preview-block plan-block">
<div class="pb-title">{{ T.retrievalPlanTitle }}</div>
<div class="plan-rows">
<div v-for="(v, k) in plan" :key="k" class="plan-row">
<span class="plan-k">{{ k }}</span>
<span class="plan-v">{{ Array.isArray(v) ? v.join('、') : String(v) }}</span>
</div>
</div>
</div>
<!-- 相位筛选 chips（FR-RETRIEVAL-002） -->
<div class="filter-chips">
<button
v-for="f in TOOL_FILTERS"
:key="f.key"
:class="['chip', { on: bench.phaseFilter === f.key }]"
@click="bench.setPhaseFilter(f.key)"
>{{ f.label }}</button>
</div>
<!-- 空态（FR-RETRIEVAL-006，不显示假卡片） -->
<div v-if="!filtered.length" class="empty-note">{{ T.retrievalEmpty }}</div>
<!-- 阶段卡（FR-RETRIEVAL-001） -->
<div
v-for="c in filtered"
:key="c.stage"
:class="['tool-card', c.status, { open: isOpen(c.stage) }]"
>
<div class="tool-head" @click="toggle(c.stage)">
<span class="t-ico" :style="{ color: `var(${PHASE_COLOR_VAR[c.group.last.phase]})` }">
{{ phaseIcons[c.group.last.phase] || '•' }}
</span>
<span class="t-name" :title="c.group.last.label">{{ c.group.last.label }}</span>
<span class="badge" :class="c.status"><span class="dot"></span>{{ c.status === 'running' ? T.stepRunning : T.stepDone }}</span>
<span v-if="c.group.last.ts" class="t-dur">{{ fmtDur(c.group.last.ts - c.group.first.ts) }}</span>
<svg class="t-chev" width="13" height="13" viewBox="0 0 24 24" fill="none"
stroke="currentColor" stroke-width="2.5" stroke-linecap="round"><path d="M9 18l6-6-6-6" /></svg>
</div>
<div v-if="isOpen(c.stage)" class="tool-body">
<div class="tb-label">{{ BENCH_LABELS.stageLabel }}</div>
<div class="tb-phase">
<span class="phase-dot" :style="{ background: `var(${PHASE_COLOR_VAR[c.group.last.phase]})` }"></span>
{{ PHASE_LABEL[c.group.last.phase] || c.group.last.phase }} · {{ PHASE_DESC[c.group.last.phase] || '' }}
</div>
<template v-if="detailLines(c.group.last.details).length">
<div class="tb-label">{{ BENCH_LABELS.paramsLabel }}</div>
<div class="tb-params"><div v-for="l in detailLines(c.group.last.details)" :key="l">{{ l }}</div></div>
</template>
</div>
</div>
</div>
</template>
<style scoped>
.retrieval-pane { display: flex; flex-direction: column; }
.plan-block { margin-bottom: 12px; }
.plan-rows { display: flex; flex-direction: column; gap: 5px; }
.plan-row { display: flex; gap: 8px; font-size: 12px; line-height: 1.5; }
.plan-k {
flex: none;
font-family: var(--pa-font-mono);
font-size: 11px;
color: var(--pa-g-to);
background: var(--pa-code-bg);
border: 1px solid var(--pa-hairline);
border-radius: var(--pa-r-sm);
padding: 1px 6px;
align-self: flex-start;
}
.plan-v { color: var(--pa-ink-muted); min-width: 0; word-break: break-word; }
.filter-chips { display: flex; gap: 6px; flex-wrap: wrap; margin-bottom: 10px; }
.chip {
padding: 3px 11px;
border-radius: var(--pa-r-pill);
font-size: 11.5px;
color: var(--pa-ink-muted);
border: 1px solid var(--pa-hairline);
background: none;
cursor: pointer;
transition: all 0.18s var(--pa-ease);
}
.chip:hover { color: var(--pa-ink); }
.chip.on { color: #fff; background: var(--pa-g-from); border-color: transparent; }
.empty-note {
text-align: center;
color: var(--pa-ink-subtle);
font-size: 12px;
padding: 24px 8px;
}
.tool-card {
margin: 0 0 10px;
background: var(--pa-surface-1);
border: 1px solid var(--pa-hairline);
border-radius: var(--pa-r-lg);
overflow: hidden;
}
.tool-card.running { position: relative; }
.tool-card.running::after {
content: '';
position: absolute;
top: 0;
bottom: 0;
left: 0;
width: 200%;
pointer-events: none;
background: linear-gradient(100deg, transparent 30%, rgba(0, 212, 255, 0.05) 50%, transparent 70%);
will-change: transform;
animation: shimmer 1.8s infinite;
}
.tool-head {
display: flex;
align-items: center;
gap: 10px;
padding: 8px 11px;
cursor: pointer;
user-select: none;
}
.t-ico {
width: 22px;
height: 22px;
border-radius: 7px;
flex: none;
display: flex;
align-items: center;
justify-content: center;
font-size: 11.5px;
background: color-mix(in srgb, var(--pa-g-from) 16%, transparent);
color: var(--pa-g-to);
}
.t-name {
flex: 1;
font-size: 13.5px;
font-weight: 600;
min-width: 0;
white-space: nowrap;
overflow: hidden;
text-overflow: ellipsis;
}
.t-dur { font-family: var(--pa-font-mono); font-size: 11.5px; color: var(--pa-ink-subtle); }
.t-chev { color: var(--pa-ink-subtle); transition: transform 0.25s var(--pa-ease); flex: none; }
.tool-card.open .t-chev { transform: rotate(90deg); }
.tool-body {
padding: 0 11px 10px;
border-top: 1px solid var(--pa-hairline);
padding-top: 11px;
animation: fade-slide 0.2s var(--pa-ease-out);
}
.tb-label { font-size: 11px; letter-spacing: 0.5px; color: var(--pa-ink-subtle); margin: 8px 0 5px; }
.tb-phase { display: flex; align-items: center; gap: 6px; font-size: 12.5px; color: var(--pa-ink-muted); }
.phase-dot { width: 8px; height: 8px; border-radius: 50%; flex: none; }
.tb-params {
font-family: var(--pa-font-mono);
font-size: 12.5px;
color: var(--pa-g-to);
background: var(--pa-code-bg);
border: 1px solid var(--pa-hairline);
border-radius: var(--pa-r-sm);
padding: 7px 10px;
line-height: 1.7;
white-space: pre-wrap;
word-break: break-all;
}
/* 徽章（复用 B1 .badge；此处补 bench 内联兜底） */
.badge {
display: inline-flex;
align-items: center;
gap: 5px;
padding: 2px 10px;
border-radius: var(--pa-r-pill);
font-size: 11px;
font-weight: 500;
letter-spacing: 0.5px;
flex: none;
}
.badge .dot { width: 6px; height: 6px; border-radius: 50%; background: currentColor; }
.badge.running { color: var(--pa-warning); background: rgba(245, 184, 92, 0.12); }
.badge.running .dot { animation: pulse 2s infinite; }
.badge.done { color: var(--pa-success); background: rgba(46, 211, 160, 0.12); }
</style>
frontend/src/components/bench/SourceRow.vue
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<!-- SourceRow.vue —— 文献来源单条（B3 归属）
FR-SOURCE-001/002/003：mono 列表视觉、字段缺失不渲染占位、外链优先级 url>doi>pmid>pmcid。 -->
<script setup>
import { computed, ref, watch } from 'vue';
import { T } from '../../i18n/labels.js';
const props = defineProps({
source: { type: Object, required: true },
index: { type: Number, default: 0 },
count: { type: Number, default: null }, // 会话级聚合的出现次数
highlighted: { type: Boolean, default: false }, // FR-CHAT-015：引用 chip 定位高亮
});
const expanded = ref(false);
const rootEl = ref(null);
// 高亮激活时滚动到可视区（FR-CHAT-015 滚动定位）
watch(
() => props.highlighted,
(on) => {
if (on && rootEl.value) {
rootEl.value.scrollIntoView({ block: 'nearest', behavior: 'smooth' });
}
},
);
/** 外链优先级：url > doi > pmid > pmcid；均无 → null（不显示链接图标，FR-SOURCE-003） */
const linkHref = computed(() => {
const s = props.source || {};
if (s.url) return s.url;
if (s.doi) return `https://doi.org/${s.doi}`;
if (s.pmid) return `https://pubmed.ncbi.nlm.nih.gov/${s.pmid}/`;
if (s.pmcid) return `https://www.ncbi.nlm.nih.gov/pmc/articles/${s.pmcid}/`;
return null;
});
const metaParts = computed(() => {
const s = props.source || {};
const parts = [];
if (s.pmid) parts.push(`PMID:${s.pmid}`);
if (s.doi) parts.push(`DOI:${s.doi}`);
if (s.score != null) parts.push(`${T.score} ${Number(s.score).toFixed(2)}`);
if (props.count != null && props.count > 1) parts.push(`×${props.count}`);
return parts;
});
</script>
<template>
<div ref="rootEl" class="ft-item source-row" :class="{ 'hl-active': highlighted }">
<span class="ft-ico idx">{{ index + 1 }}</span>
<div class="src-main">
<div class="src-line1">
<span class="ft-name" :title="source.title || ''">{{ source.title }}</span>
</div>
<div class="ft-size src-meta">{{ metaParts.join(' · ') }}</div>
<div v-if="source.snippet" class="src-snippet" :class="{ clamp: !expanded }" @click="expanded = !expanded">
{{ source.snippet }}
</div>
</div>
<a
v-if="linkHref"
class="ft-dl"
:href="linkHref"
target="_blank"
rel="noopener"
:title="linkHref"
@click.stop
>
<svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round">
<path d="M18 13v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h6" />
<path d="M15 3h6v6" />
<path d="M10 14L21 3" />
</svg>
</a>
</div>
</template>
<style scoped>
.source-row {
padding: 6px 8px;
border-radius: var(--pa-r-sm);
font-family: var(--pa-font-mono);
font-size: 12.5px;
transition: background 0.15s var(--pa-ease);
}
.source-row:hover { background: var(--pa-surface-2); }
.source-row.hl-active {
background: color-mix(in srgb, var(--pa-g-to) 14%, transparent);
border-radius: var(--pa-r-sm);
animation: hl-fade 2s var(--pa-ease-out) forwards;
}
@keyframes hl-fade {
0% { background: color-mix(in srgb, var(--pa-g-to) 26%, transparent); }
100% { background: color-mix(in srgb, var(--pa-g-to) 6%, transparent); }
}
.ft-item { display: flex; align-items: flex-start; gap: 8px; }
.ft-ico { flex: none; width: 16px; text-align: center; }
.idx { color: var(--pa-ink-subtle); font-size: 11px; line-height: 1.7; }
.src-main { flex: 1; min-width: 0; display: flex; flex-direction: column; gap: 3px; }
.src-line1 { display: flex; align-items: baseline; min-width: 0; }
.ft-name {
flex: 1;
min-width: 0;
white-space: nowrap;
overflow: hidden;
text-overflow: ellipsis;
color: var(--pa-ink);
font-size: 12.5px;
}
.src-meta { font-size: 11px; color: var(--pa-ink-subtle); }
.ft-size { font-size: 11px; color: var(--pa-ink-subtle); }
.src-snippet {
font-size: 11.5px;
line-height: 1.6;
color: var(--pa-ink-muted);
font-family: var(--pa-font-ui);
cursor: pointer;
word-break: break-word;
}
.src-snippet.clamp {
display: -webkit-box;
-webkit-line-clamp: 2;
-webkit-box-orient: vertical;
overflow: hidden;
}
.ft-dl {
flex: none;
color: var(--pa-ink-subtle);
display: inline-flex;
align-items: center;
padding-top: 2px;
transition: opacity 0.15s var(--pa-ease), color 0.15s var(--pa-ease);
}
.ft-dl svg { width: 13px; height: 13px; }
.ft-dl:hover { color: var(--pa-g-to); }
/* 移动端触摸：链接图标常驻（FR-RESP-007 由 media (hover:none) 兜底，此处对齐） */
@media (hover: none) {
.ft-dl { opacity: 1; }
}
</style>

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