d1aed8e722
上游 ai-kefu → phase1 吸收(Task 11 unit 12): - 拷入 7 个测试文件,import/夹具按目标库重锚(app.engine.* / conftest async_db+build_jiancai_runtime / seed_profiles 提示词锚点) - 补实现(同步自上游): chat_rest 服务端可信 IP(_server_ip/ _merge_client_info,直连场景自报假 IP 不再原样落库);widget.js 与 chat.js 的 data-placeholder 读取(叠加 Task 10 管道:data-* > brand > 中性兜底,tests/test_placeholder_static.py 守卫) - 断言重锚以 jc 主线为准: ev.contact_info 存裸号+等待尾注(e164 走 _cc 派生)、source 值 fallback/customer_stated 口径、推送标注键 号码补全说明、prompt 静态锚按租户(seed_profiles)双测 - 全量回归 459 passed(基线 421 + 吸收 38) Co-Authored-By: Claude Code <noreply@anthropic.com>
182 lines
7.4 KiB
Python
182 lines
7.4 KiB
Python
"""REST shell for the HESUPIPE app (non-streaming, JSON-in/JSON-out).
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These routes wrap `ConversationManager`, shared with the existing `/ws/chat`
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widget path. The app uses HTTP because it lacks a WebSocket client and is fine
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with a 3-8s "AI is typing" affordance covering the round trip.
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Red lines (see spec):
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- WS path (`app/api/routes/chat.py`) shares `ConversationManager` with these
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routes; both paths stay drift-free.
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- `context` seeding is conditional + whitelist (handled in
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`ConversationManager.create_conversation`; Task 9 起白名单 =
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租户 config.engine.context_seed_keys——jiancai product_*/auto vehicle_*).
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- The message route consumes `stream_process_message`; lead email is
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triggered inside `ConversationManager` when contact info is detected
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(contact-driven-lead-email plan).
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"""
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from fastapi import APIRouter, HTTPException, Request
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from pydantic import BaseModel
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from sqlalchemy import select
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from app.engine.models import ConversationSource, ConversationStatus, Message
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from app.engine.routes.runtime import get_runtime
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from app.engine.services.conversation import ConversationManager
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from app.engine.services.rate_limit import DEFAULT_MAX
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from app.engine.services.rate_limit import check as rate_check
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router = APIRouter(prefix="/api/chat", tags=["chat-rest"])
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class SessionRequest(BaseModel):
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session_id: str | None = None
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context: dict | None = None
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client_info: dict | None = None
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def _server_ip(request: Request) -> str:
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"""服务端可信 IP:XFF 第一段优先,否则直连 host;全空返回空串。
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同步自上游 ai-kefu(app/api/routes/chat_rest.py):REST 路径原先只在有
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XFF 时覆盖自报 ip,直连(无代理)场景自报假 IP 原样落库。"""
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xff = request.headers.get("x-forwarded-for", "").split(",")[0].strip()
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return xff or (request.client.host if request.client else "")
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def _merge_client_info(client_info: dict | None, server_ip: str) -> dict:
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"""服务端 IP 覆盖自报 ip 键;服务端为空时保留自报(空串不得冲掉客户端值)。"""
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merged = dict(client_info or {})
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if server_ip:
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merged["ip"] = server_ip
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return merged
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@router.post("/session")
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async def chat_session(req: SessionRequest, request: Request):
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"""Resume an active conversation by session_id, or create a new app one.
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`context` flows into `create_conversation` where it is whitelisted into
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`raw_info` (only when non-None). `client_info` is stored for analytics only
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(ip/ua/device-id/lang) and never fed to the AI prompt.
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"""
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# 服务端可信 IP 同步自上游 ai-kefu:XFF 第一段优先,无 XFF 用直连 host
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# 覆盖客户端自报(可伪造面最小);全空保留自报。?site= 处理不变。
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client_info = _merge_client_info(req.client_info, _server_ip(request))
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# Task 10: ?site=<slug> 记入 client_info 作会话站点标(与 WS init 的
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# site 字段同语义)——只加记录,不参与业务逻辑
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site_slug = request.query_params.get("site", "").strip()
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if site_slug:
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client_info["site"] = site_slug
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# Task 5b: 租户运行时经 state/默认租户兜底解析(过渡期无中间件);
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# manager 由装配线从 runtime 造(db 会话 + runtime 引用)
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runtime = get_runtime(request)
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async with runtime.session_factory() as db:
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manager = ConversationManager(db, runtime=runtime)
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if req.session_id:
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conv = await manager.get_by_session(req.session_id)
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if conv and conv.status == ConversationStatus.active:
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return {
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"session_id": conv.session_id,
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"is_new": False,
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"ended": False,
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}
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conv = await manager.create_conversation(
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source=ConversationSource.app,
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client_info=client_info,
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context=req.context,
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)
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return {
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"session_id": conv.session_id,
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"is_new": True,
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"ended": False,
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}
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@router.get("/{session_id}/messages")
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async def chat_history(session_id: str, request: Request):
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"""Public history endpoint for session replay. App-source only, to narrow
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the read surface; an unknown or non-app session yields 404.
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"""
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runtime = get_runtime(request)
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async with runtime.session_factory() as db:
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manager = ConversationManager(db, runtime=runtime)
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conv = await manager.get_by_session(session_id)
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if not conv or conv.source != ConversationSource.app:
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raise HTTPException(status_code=404, detail="session not found")
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result = await db.execute(
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select(Message)
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.where(Message.conversation_id == conv.id)
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.order_by(Message.created_at)
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)
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msgs = result.scalars().all()
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return [
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{
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"role": m.role.value,
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"content": m.content,
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"created_at": m.created_at.isoformat(),
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}
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for m in msgs
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]
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class MessageRequest(BaseModel):
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session_id: str
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content: str
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@router.post("/message")
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async def chat_message(req: MessageRequest, request: Request):
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"""Process one app turn: stream-collect the AI reply, then evaluate.
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🔴 Consumes `stream_process_message` so the REST path shares one code
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path with the WS widget and never drifts. Lead email is triggered inside
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`ConversationManager` when contact info is detected
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(contact-driven-lead-email plan) — this route carries no email logic.
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A light in-memory rate limit (per tenant + ip + X-Device-Id, rolling 1h)
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guards GLM spend; only this route is throttled. Task 9: 桶键加租户维度
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(两租户同出口 IP 不互挤配额),上限读租户 config.engine.rate_limit_per_hour
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(默认 30,与出厂一致)。
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"""
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runtime = get_runtime(request)
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ip = request.client.host if request.client else ""
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dev = request.headers.get("X-Device-Id", "")
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engine_cfg = runtime.config.data.get("engine") or {}
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# 类型与 0 语义由 Phase 2 配置校验统一(当前: 空/0 回退 DEFAULT_MAX)
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limit = engine_cfg.get("rate_limit_per_hour") or DEFAULT_MAX
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if not rate_check(runtime.config.slug, ip, dev, max_requests=limit):
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raise HTTPException(status_code=429, detail="rate limit exceeded")
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async with runtime.session_factory() as db:
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manager = ConversationManager(db, runtime=runtime)
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conv = await manager.get_by_session(req.session_id)
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if not conv:
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raise HTTPException(status_code=404, detail="session not found")
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if conv.status != ConversationStatus.active:
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raise HTTPException(status_code=409, detail="conversation ended")
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reply_parts: list[str] = []
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ended = False
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intent_level = "pending"
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async for event in manager.stream_process_message(
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req.session_id, req.content
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):
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t = event.get("type")
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if t == "stream_chunk":
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reply_parts.append(event.get("content", ""))
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elif t == "evaluated":
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ended = bool(event.get("ended"))
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intent_level = event.get("intent_level", "pending")
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elif t == "error":
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msg = event.get("message", "error")
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raise HTTPException(
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status_code=409 if "ended" in msg else 404, detail=msg
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)
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return {
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"reply": "".join(reply_parts),
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"ended": ended,
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"intent_level": intent_level,
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}
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