- Introduced new endpoints `/api/analyst/query/{trace_id}/sample` and `/api/analyst/escalate` for sampling query results and escalating issues to human analysts, respectively.
- Enhanced `AnalystAgent` to support sampling of SQL results based on trace ID and to handle escalation requests, improving user experience in error scenarios.
- Updated `analyst_schemas.py` to include `EscalateRequest` for structured escalation requests.
- Added corresponding frontend API calls and UI components to facilitate user interactions with the new features.
- Implemented unit tests to ensure the reliability of the new functionalities.
This update significantly enhances the analytical capabilities of the application, allowing users to retrieve detailed query samples and escalate issues effectively.
176 lines
6.8 KiB
Python
176 lines
6.8 KiB
Python
"""数据分析 Agent 路由(D-01~D-12 / N-03/07/08)。"""
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from __future__ import annotations
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from fastapi import APIRouter, Depends, HTTPException, Query
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from app.api.analyst_auth_adapter import (
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AnalystAuthContext,
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AnalystAuthError,
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analyst_auth_from_deps,
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assert_analyst_query_access,
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)
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from app.api.deps import AuthContext, get_platform_auth_context
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from app.model.analyst_schemas import AnalystResponse, AssetCreateRequest, ChatRequest, EscalateRequest, InterpretRequest
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from app.service.analyst_agent import AnalystAgent
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from app.utils.trace import current_trace
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router = APIRouter(prefix="/api/analyst", tags=["analyst"])
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_agent: AnalystAgent | None = None
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def get_agent() -> AnalystAgent:
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global _agent
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if _agent is None:
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_agent = AnalystAgent()
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return _agent
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def _analyst_ctx(auth: AuthContext = Depends(get_platform_auth_context)) -> AnalystAuthContext:
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return analyst_auth_from_deps(auth, trace_id=current_trace() or "")
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@router.post("/chat", response_model=AnalystResponse)
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def chat(
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req: ChatRequest,
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auth: AnalystAuthContext = Depends(_analyst_ctx),
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agent: AnalystAgent = Depends(get_agent),
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) -> AnalystResponse:
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return agent.run(
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req.question,
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auth,
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req.session_id,
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req.trace_id,
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interpret=req.interpret,
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)
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@router.post("/interpret", response_model=AnalystResponse)
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def interpret(
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req: InterpretRequest,
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auth: AnalystAuthContext = Depends(_analyst_ctx),
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agent: AnalystAgent = Depends(get_agent),
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) -> AnalystResponse:
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"""按需解读:仅接受最近一次问数快照 + 原问题(看图说话)。"""
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return agent.interpret(req, auth)
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@router.get("/query/{trace_id}/sample", response_model=AnalystResponse)
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def query_sample(
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trace_id: str,
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limit: int = Query(default=5, ge=1, le=20),
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auth: AnalystAuthContext = Depends(_analyst_ctx),
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agent: AnalystAgent = Depends(get_agent),
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) -> AnalystResponse:
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"""聚合结果抽样明细(N-03)。"""
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return agent.sample_by_trace(trace_id, auth, limit)
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@router.post("/escalate")
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def escalate(
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req: EscalateRequest,
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auth: AnalystAuthContext = Depends(_analyst_ctx),
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agent: AnalystAgent = Depends(get_agent),
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):
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"""问数失败/超时一键转人工(N-07)。"""
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return agent.escalate(req.trace_id, req.question, req.reason, auth)
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@router.get("/dashboard")
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def dashboard(
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auth: AnalystAuthContext = Depends(_analyst_ctx),
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agent: AnalystAgent = Depends(get_agent),
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):
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"""智能看数板(D-12)后端:按角色返回卡片。"""
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try:
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domain = assert_analyst_query_access(auth)
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except AnalystAuthError as exc:
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raise HTTPException(status_code=403, detail=exc.message) from exc
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role = next(
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(r for r in auth.roles if r in ("analyst", "advisor", "risk_officer", "ops", "customer")),
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"analyst",
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)
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cards = {
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"analyst": ["客户总数", "总持仓规模", "今日交易笔数与金额", "待处理预警数", "口径字典资产数"],
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"advisor": ["名下客户数", "名下资产规模", "盈亏分布", "风险等级分布"],
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"risk_officer": ["待处理预警数", "预警按类型分布", "近7天新增趋势"],
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"customer": ["我的持仓规模", "近30日交易笔数", "风险等级", "盈亏概览"],
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"ops": ["近30天申购金额", "近30天赎回金额", "各产品类型规模TOP"],
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}.get(role, [])
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metrics: dict = {}
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try:
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if role == "analyst":
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res = agent.repo.execute_readonly(
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"SELECT (SELECT COUNT(*) FROM core_customer) AS customers, "
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"(SELECT COALESCE(SUM(market_value),0) FROM core_holding) AS holdings, "
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"(SELECT COUNT(*) FROM jinrong_agent.risk_alert WHERE status='pending_review') AS pending, "
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"(SELECT COUNT(*) FROM jinrong_agent.analytics_metric_dict WHERE status='published') AS dict_count"
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)
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if res["rows"]:
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metrics = dict(zip(res["columns"], res["rows"][0]))
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elif role == "customer" and auth.customer_id:
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cid = auth.customer_id
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res = agent.repo.execute_readonly(
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f"SELECT (SELECT COALESCE(SUM(market_value),0) FROM core_holding WHERE customer_id='{cid}') AS holdings, "
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f"(SELECT COUNT(*) FROM core_trade WHERE customer_id='{cid}' AND trade_date >= DATE_SUB(CURDATE(), INTERVAL 30 DAY)) AS trades_30d"
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)
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if res["rows"]:
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metrics = dict(zip(res["columns"], res["rows"][0]))
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elif role == "advisor" and auth.subject_id:
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scope = agent.repo.resolve_advisor_scope(auth.subject_id)
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if scope:
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ids = ",".join(f"'{x}'" for x in scope)
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res = agent.repo.execute_readonly(
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f"SELECT COUNT(DISTINCT customer_id) AS clients, "
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f"COALESCE(SUM(market_value),0) AS aum FROM core_holding WHERE customer_id IN ({ids})"
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)
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if res["rows"]:
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metrics = dict(zip(res["columns"], res["rows"][0]))
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else:
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metrics = {"clients": 0, "aum": 0}
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elif role == "risk_officer":
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res = agent.repo.execute_readonly(
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"SELECT COUNT(*) AS pending FROM jinrong_agent.risk_alert WHERE status='pending_review'"
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)
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if res["rows"]:
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metrics = dict(zip(res["columns"], res["rows"][0]))
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except Exception: # noqa: BLE001
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pass
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return {"role": role, "domain": domain, "cards": cards, "metrics": metrics}
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@router.post("/assets")
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def create_asset(
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req: AssetCreateRequest,
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auth: AnalystAuthContext = Depends(_analyst_ctx),
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agent: AnalystAgent = Depends(get_agent),
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):
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"""沉淀资产(D-11):仅分析师可写。"""
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if "analyst" not in auth.roles:
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raise HTTPException(status_code=403, detail="仅分析师可沉淀资产")
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if req.kind not in ("dict", "few_shot", "template"):
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raise HTTPException(status_code=400, detail="kind 必须是 dict/few_shot/template")
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asset_id = agent.repo.insert_asset(req.kind, req.payload, auth.subject_id)
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if req.kind == "template":
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try:
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agent.templates.reload()
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except Exception:
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pass
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return {"ok": True, "id": asset_id, "kind": req.kind}
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@router.get("/ops/metrics")
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def ops_metrics(
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auth: AnalystAuthContext = Depends(_analyst_ctx),
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agent: AnalystAgent = Depends(get_agent),
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):
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"""运营指标(N-08,P1 最小版)。"""
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if "analyst" not in auth.roles:
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raise HTTPException(status_code=403, detail="仅分析师可查看运营指标")
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res = agent.repo.execute_readonly(
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"SELECT COUNT(*) AS total, "
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"SUM(exec_status='blocked') AS blocked "
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"FROM jinrong_agent.analytics_query_log"
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)
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return res["rows"][0] if res["rows"] else {"total": 0, "blocked": 0}
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