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group_xinghuo_jinrong/app/api/analyst.py
T
zhanghongyu_0626 3ad244add0 feat(analyst): Enhance dashboard metrics and customer service interactions
- Updated the `dashboard` function in `analyst.py` to include additional metrics for different user roles, improving data visibility for analysts, customers, advisors, and risk officers.
- Introduced a new `prepare_customer_stream` function in `customer_service.py` to facilitate streaming responses for customer interactions, enhancing the chat experience.
- Added new API endpoints in `analyst.ts` for fetching dashboard metrics and managing analyst assets, streamlining data handling and user interactions.
- Updated frontend components to support new dashboard features and asset management, ensuring a cohesive user experience across the application.

This update significantly improves the functionality and usability of the analyst and customer service features, providing users with enhanced tools for data analysis and interaction.
2026-09-09 21:32:59 +08:00

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"""数据分析 Agent 路由(D-01~D-12 / N-03/07/08)。"""
from __future__ import annotations
from fastapi import APIRouter, Depends, HTTPException
from app.api.analyst_auth_adapter import (
AnalystAuthContext,
AnalystAuthError,
analyst_auth_from_deps,
assert_analyst_query_access,
)
from app.api.deps import AuthContext, get_platform_auth_context
from app.model.analyst_schemas import AnalystResponse, AssetCreateRequest, ChatRequest
from app.service.analyst_agent import AnalystAgent
from app.utils.trace import current_trace
router = APIRouter(prefix="/api/analyst", tags=["analyst"])
_agent: AnalystAgent | None = None
def get_agent() -> AnalystAgent:
global _agent
if _agent is None:
_agent = AnalystAgent()
return _agent
def _analyst_ctx(auth: AuthContext = Depends(get_platform_auth_context)) -> AnalystAuthContext:
return analyst_auth_from_deps(auth, trace_id=current_trace() or "")
@router.post("/chat", response_model=AnalystResponse)
def chat(
req: ChatRequest,
auth: AnalystAuthContext = Depends(_analyst_ctx),
agent: AnalystAgent = Depends(get_agent),
) -> AnalystResponse:
return agent.run(req.question, auth, req.session_id, req.trace_id)
@router.get("/dashboard")
def dashboard(
auth: AnalystAuthContext = Depends(_analyst_ctx),
agent: AnalystAgent = Depends(get_agent),
):
"""智能看数板(D-12)后端:按角色返回卡片。"""
try:
domain = assert_analyst_query_access(auth)
except AnalystAuthError as exc:
raise HTTPException(status_code=403, detail=exc.message) from exc
role = next(
(r for r in auth.roles if r in ("analyst", "advisor", "risk_officer", "ops", "customer")),
"analyst",
)
cards = {
"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"],
"advisor": ["名下客户数", "名下资产规模", "盈亏分布", "风险等级分布"],
"risk_officer": ["待处理预警数", "预警按类型分布", "近7天新增趋势"],
"customer": ["我的持仓规模", "近30日交易笔数", "风险等级", "盈亏概览"],
"ops": ["近30天申购金额", "近30天赎回金额", "各产品类型规模TOP"],
}.get(role, [])
metrics: dict = {}
try:
if role == "analyst":
res = agent.repo.execute_readonly(
"SELECT (SELECT COUNT(*) FROM core_customer) AS customers, "
"(SELECT COALESCE(SUM(market_value),0) FROM core_holding) AS holdings, "
"(SELECT COUNT(*) FROM jinrong_agent.risk_alert WHERE status='pending_review') AS pending, "
"(SELECT COUNT(*) FROM jinrong_agent.analytics_metric_dict WHERE status='published') AS dict_count"
)
if res["rows"]:
metrics = dict(zip(res["columns"], res["rows"][0]))
elif role == "customer" and auth.customer_id:
cid = auth.customer_id
res = agent.repo.execute_readonly(
f"SELECT (SELECT COALESCE(SUM(market_value),0) FROM core_holding WHERE customer_id='{cid}') AS holdings, "
f"(SELECT COUNT(*) FROM core_trade WHERE customer_id='{cid}' AND trade_date >= DATE_SUB(CURDATE(), INTERVAL 30 DAY)) AS trades_30d"
)
if res["rows"]:
metrics = dict(zip(res["columns"], res["rows"][0]))
elif role == "advisor" and auth.subject_id:
scope = agent.repo.resolve_advisor_scope(auth.subject_id)
if scope:
ids = ",".join(f"'{x}'" for x in scope)
res = agent.repo.execute_readonly(
f"SELECT COUNT(DISTINCT customer_id) AS clients, "
f"COALESCE(SUM(market_value),0) AS aum FROM core_holding WHERE customer_id IN ({ids})"
)
if res["rows"]:
metrics = dict(zip(res["columns"], res["rows"][0]))
else:
metrics = {"clients": 0, "aum": 0}
elif role == "risk_officer":
res = agent.repo.execute_readonly(
"SELECT COUNT(*) AS pending FROM jinrong_agent.risk_alert WHERE status='pending_review'"
)
if res["rows"]:
metrics = dict(zip(res["columns"], res["rows"][0]))
except Exception: # noqa: BLE001
pass
return {"role": role, "domain": domain, "cards": cards, "metrics": metrics}
@router.post("/assets")
def create_asset(
req: AssetCreateRequest,
auth: AnalystAuthContext = Depends(_analyst_ctx),
agent: AnalystAgent = Depends(get_agent),
):
"""沉淀资产(D-11):仅分析师可写。"""
if "analyst" not in auth.roles:
raise HTTPException(status_code=403, detail="仅分析师可沉淀资产")
if req.kind not in ("dict", "few_shot", "template"):
raise HTTPException(status_code=400, detail="kind 必须是 dict/few_shot/template")
asset_id = agent.repo.insert_asset(req.kind, req.payload, auth.subject_id)
return {"ok": True, "id": asset_id, "kind": req.kind}
@router.get("/ops/metrics")
def ops_metrics(
auth: AnalystAuthContext = Depends(_analyst_ctx),
agent: AnalystAgent = Depends(get_agent),
):
"""运营指标(N-08,P1 最小版)。"""
if "analyst" not in auth.roles:
raise HTTPException(status_code=403, detail="仅分析师可查看运营指标")
res = agent.repo.execute_readonly(
"SELECT COUNT(*) AS total, "
"SUM(exec_status='blocked') AS blocked "
"FROM jinrong_agent.analytics_query_log"
)
return res["rows"][0] if res["rows"] else {"total": 0, "blocked": 0}