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@@ -0,0 +1,28 @@
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# qihuaiflow minimal CI (Gitea Actions)
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#
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# NOTE: This workflow is DORMANT until a Gitea act_runner is registered with
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||||||
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# this repo. The active gate today is the host-side pre-push hook
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||||||
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# (scripts/git-hooks/pre-push) + scripts/ci_gate.py, because our deployment
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# model keeps the app running in a long-lived `qihu-aiflow` container on the
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# docker host rather than building it fresh in CI.
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#
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||||||
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# To activate later:
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||||||
|
# 1. Install act_runner on the docker host (sharing the docker socket).
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||||||
|
# 2. Register it against this repo with label `ubuntu-latest`.
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# 3. The runner can then `docker exec qihu-aiflow ...` to reach the app.
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|
#
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||||||
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# Until then, the pre-push hook already blocks broken pushes.
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||||||
|
name: CI
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||||||
|
on:
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||||||
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push:
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||||||
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branches: [main]
|
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|
pull_request:
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||||||
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||||||
|
jobs:
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gate:
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runs-on: ubuntu-latest
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steps:
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- name: Backend pytest
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run: docker exec qihu-aiflow bash -c 'cd /app/backend/python && .venv/bin/python -m pytest -c pytest.ini -q'
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||||||
|
- name: Frontend vitest
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||||||
|
run: docker exec qihu-aiflow bash -c 'cd /app/frontend && npx vitest run --reporter=dot'
|
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@@ -1,21 +1 @@
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# 七虎AI PaaS 平台 — 版本清单 (VERSION)
|
v2026.07.19.5
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||||||
# 版本规范见 docs/VERSIONING.md
|
|
||||||
# 版本号格式: vYYYY.MM.DD.N (年.月.日.当日递增序号,从 1 开始)
|
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||||||
# 环境标签: prod = 正式版 | test = 测试版
|
|
||||||
|
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||||||
VERSION=v2026.07.18.1
|
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||||||
ENV=prod
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|
||||||
DATE=2026-07-18
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||||||
BASE_IMAGE=qihu-aiflow:with-deps
|
|
||||||
BACKUP_IMAGE=qihu-aiflow:backup-20260718-001
|
|
||||||
|
|
||||||
## 本版本变更 (v2026.07.18.1 / prod)
|
|
||||||
- Phase0 工程纪律止血 启动
|
|
||||||
- 新增「部署前镜像备份 SOP」:scripts/backup_before_deploy.py,每次部署前自动提交递增序号镜像快照
|
|
||||||
- 统一版本号规范 vYYYY.MM.DD.N + prod/test 标签(取代旧 -recover 标签)
|
|
||||||
- 引入后端 pytest / 前端 vitest 测试基建,作为迭代式重构的安全网
|
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- 固化反复问题的回归用例 R1/R2/R3
|
|
||||||
|
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||||||
## 历史
|
|
||||||
- 旧方案:镜像曾用 AIFlow v2.0.1 / v2026.07.14 / v2026.07.14-nav;git 曾用 v2026.07.12-recover / v2026.07.12-ui-recover / v2026.07.13-recover。自 v2026.07.18.1 起统一为 vYYYY.MM.DD.N + prod/test,便于正式版推广后与测试版做环境切割。
|
|
||||||
- 历史功能:AI聊天(real API + tool-call function calling)、知识库文件存储 + AI 图谱、频道二维码、邮件/短信配置 + AI 生成、支付配置、平台驾驶舱(token 累计 + 审计/操作日志)、Agent 资源 API、evolution pipeline 自动恢复、全局默认模型、广告位图片上传 + AI 绘图、应用市场安装/卸载/搜索/去重、资产文件类型分类 + 在线预览。迁移 001-015。
|
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@@ -0,0 +1,103 @@
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|
"""调用可观测面板后端 API(媒体/LLM 调用归因)。
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|
路由前缀: /app/api/admin/observability
|
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|
数据来源: token_usage_logs(Phase 2.2 已加 trace_id 列,可经 X-Trace-Id 关联请求链路)。
|
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|
"""
|
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|
from datetime import datetime, timedelta
|
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|
|
||||||
|
from fastapi import APIRouter, Query, Depends
|
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|
from ...database import get_db
|
||||||
|
from ..auth import get_current_user
|
||||||
|
from sqlalchemy import text
|
||||||
|
from sqlalchemy.orm import Session
|
||||||
|
|
||||||
|
router = APIRouter()
|
||||||
|
|
||||||
|
|
||||||
|
@router.get("/summary")
|
||||||
|
async def observability_summary(
|
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|
days: int = Query(30, description="统计天数"),
|
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|
db: Session = Depends(get_db),
|
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|
user=Depends(get_current_user),
|
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|
):
|
||||||
|
"""媒体/LLM 调用归因:总览 + 按模型 + 按用户 + 每日趋势 + 最近调用(trace_id 下钻)。"""
|
||||||
|
since = datetime.now() - timedelta(days=days)
|
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|
|
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|
totals = db.execute(text("""
|
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|
SELECT COUNT(*),
|
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|
COALESCE(SUM(total_tokens), 0),
|
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|
COALESCE(SUM(cost), 0),
|
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|
COUNT(DISTINCT user_id)
|
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|
FROM token_usage_logs WHERE created_at >= :since
|
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|
"""), {"since": since}).fetchone()
|
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|
|
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|
by_model = db.execute(text("""
|
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|
SELECT model_name, COUNT(*), COALESCE(SUM(total_tokens), 0), COALESCE(SUM(cost), 0)
|
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|
FROM token_usage_logs WHERE created_at >= :since
|
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|
GROUP BY model_name ORDER BY COALESCE(SUM(total_tokens), 0) DESC
|
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|
"""), {"since": since}).fetchall()
|
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|
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|
by_user = db.execute(text("""
|
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|
SELECT t.user_id, u.username, COUNT(*), COALESCE(SUM(t.total_tokens), 0), COALESCE(SUM(t.cost), 0)
|
||||||
|
FROM token_usage_logs t LEFT JOIN users u ON u.id = t.user_id
|
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|
WHERE t.created_at >= :since
|
||||||
|
GROUP BY t.user_id, u.username ORDER BY COALESCE(SUM(t.total_tokens), 0) DESC LIMIT 20
|
||||||
|
"""), {"since": since}).fetchall()
|
||||||
|
|
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|
daily = db.execute(text("""
|
||||||
|
SELECT DATE(created_at) AS d, COALESCE(SUM(total_tokens), 0), COALESCE(SUM(cost), 0), COUNT(*)
|
||||||
|
FROM token_usage_logs WHERE created_at >= :since
|
||||||
|
GROUP BY DATE(created_at) ORDER BY d
|
||||||
|
"""), {"since": since}).fetchall()
|
||||||
|
|
||||||
|
recent = db.execute(text("""
|
||||||
|
SELECT trace_id, model_name, total_tokens, cost, created_at
|
||||||
|
FROM token_usage_logs WHERE created_at >= :since
|
||||||
|
ORDER BY created_at DESC LIMIT 50
|
||||||
|
"""), {"since": since}).fetchall()
|
||||||
|
|
||||||
|
return {
|
||||||
|
"totals": {
|
||||||
|
"calls": int(totals[0] or 0),
|
||||||
|
"tokens": int(totals[1] or 0),
|
||||||
|
"cost": float(totals[2] or 0),
|
||||||
|
"users": int(totals[3] or 0),
|
||||||
|
},
|
||||||
|
"by_model": [
|
||||||
|
{
|
||||||
|
"model_name": m[0] or "unknown",
|
||||||
|
"calls": int(m[1] or 0),
|
||||||
|
"tokens": int(m[2] or 0),
|
||||||
|
"cost": float(m[3] or 0),
|
||||||
|
}
|
||||||
|
for m in by_model
|
||||||
|
],
|
||||||
|
"by_user": [
|
||||||
|
{
|
||||||
|
"user_id": u[0],
|
||||||
|
"username": u[1] or u[0],
|
||||||
|
"calls": int(u[2] or 0),
|
||||||
|
"tokens": int(u[3] or 0),
|
||||||
|
"cost": float(u[4] or 0),
|
||||||
|
}
|
||||||
|
for u in by_user
|
||||||
|
],
|
||||||
|
"daily": [
|
||||||
|
{
|
||||||
|
"date": str(d[0]),
|
||||||
|
"tokens": int(d[1] or 0),
|
||||||
|
"cost": float(d[2] or 0),
|
||||||
|
"calls": int(d[3] or 0),
|
||||||
|
}
|
||||||
|
for d in daily
|
||||||
|
],
|
||||||
|
"recent": [
|
||||||
|
{
|
||||||
|
"trace_id": r[0],
|
||||||
|
"model_name": r[1] or "unknown",
|
||||||
|
"tokens": int(r[2] or 0),
|
||||||
|
"cost": float(r[3] or 0),
|
||||||
|
"created_at": r[4].strftime("%Y-%m-%d %H:%M:%S") if r[4] else None,
|
||||||
|
}
|
||||||
|
for r in recent
|
||||||
|
],
|
||||||
|
}
|
||||||
+1385
-10070
File diff suppressed because it is too large.
Load diff
@@ -0,0 +1,943 @@
|
|||||||
|
# Auto-extracted from chat.py during Phase 1 refactor (Strangler Fig).
|
||||||
|
# Source of truth: scripts/phase1_extract.py. Do not hand-merge back.
|
||||||
|
|
||||||
|
from fastapi import APIRouter, Depends, HTTPException, Query, Response
|
||||||
|
from sqlalchemy.orm import Session
|
||||||
|
from sqlalchemy import and_, desc, asc, func
|
||||||
|
from pydantic import BaseModel, Field
|
||||||
|
from typing import Optional
|
||||||
|
import uuid
|
||||||
|
from datetime import datetime, timezone, timedelta
|
||||||
|
import re
|
||||||
|
import json
|
||||||
|
import asyncio
|
||||||
|
import math
|
||||||
|
import httpx
|
||||||
|
import os
|
||||||
|
import logging
|
||||||
|
from ..database import get_db, SessionLocal
|
||||||
|
from ..models import (
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
User, Conversation, Message, AIModel, ModelProvider, TokenUsageLog,
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
KnowledgeBase, KnowledgeDocument, KnowledgeDocumentChunk, EvolutionSkill,
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
EvolutionTrajectory, MarketApp, AppPurchase, AppInstallation,
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
MCPServer,
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
gen_uuid
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
)
|
||||||
|
from ..auth import get_current_user
|
||||||
|
from ..platform_knowledge import get_platform_knowledge
|
||||||
|
from ..mcp_client import list_mcp_tools, call_mcp_tool
|
||||||
|
from ..middleware.log_service import LogService
|
||||||
|
from ..capability_registry import resolve_auto_model
|
||||||
|
from app.api.chat_utils import (_extract_text_from_json, _proxy_for_url)
|
||||||
|
|
||||||
|
def _normalize_dify_chat_url(endpoint: str) -> str:
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
"""把用户填写的 Dify 地址归一化为 /v1/chat-messages 端点。与 market.py 保持一致。"""
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
ep = (endpoint or "").rstrip("/")
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
if ep.endswith("/chat-messages"):
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
return ep
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
if ep.endswith("/v1"):
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
return ep + "/chat-messages"
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
return ep + "/v1/chat-messages"
|
||||||
|
|
||||||
|
async def _call_dify_agent(endpoint: str, api_key: str, query: str,
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
user_id: str, ext_conv_id: str | None) -> tuple:
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
"""调用 Dify(新版 Agent) /v1/chat-messages,流式(SSE)解析最终回答。
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
新版 Agent API 仅支持 response_mode=streaming(blocking 会 400)。事件流中
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
message / agent_message 事件携带增量 answer,累加即为最终回答;每个事件都带
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
conversation_id,用于维持多轮上下文。返回 (answer, new_conversation_id)。
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
"""
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
url = _normalize_dify_chat_url(endpoint)
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
payload = {
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
"inputs": {},
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
"query": query,
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
"user": (user_id or "web-user")[:64],
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
"response_mode": "streaming",
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
"conversation_id": ext_conv_id or "",
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
}
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
answer_parts = []
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
new_conv_id = ext_conv_id
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
err_msg = None
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
wf_outputs = None
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
# httpx 默认 follow_redirects=False;stream POST 若遇 301/302 会直接返回该状态码。
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
# 且 httpx 自动跟随会把 POST 降级为 GET(对 /v1/chat-messages 变 405)。
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
# 因此手动跟随 301/302/307/308,保持 POST 与请求体不变(最多 4 跳)。
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
async with httpx.AsyncClient(timeout=180, proxy=_proxy_for_url(url), trust_env=False,
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
follow_redirects=False) as client:
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
cur_url = url
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
for _redir in range(4):
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
async with client.stream("POST", cur_url, headers=headers, json=payload) as resp:
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
if resp.status_code in (301, 302, 307, 308):
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
loc = resp.headers.get("location") or resp.headers.get("Location")
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
await resp.aclose()
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
if not loc:
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
raise RuntimeError(f"Dify HTTP {resp.status_code}: 缺少重定向地址")
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
# 处理相对地址
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
if loc.startswith("/"):
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
from urllib.parse import urlsplit, urlunsplit
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
p = urlsplit(cur_url)
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
loc = urlunsplit((p.scheme, p.netloc, loc, "", ""))
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
cur_url = loc
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
continue
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
if resp.status_code != 200:
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
body = (await resp.aread()).decode("utf-8", "replace")
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
raise RuntimeError(f"Dify HTTP {resp.status_code}: {body[:300]}")
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
async for line in resp.aiter_lines():
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
if not line:
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
continue
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
line = line.strip()
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
if not line.startswith("data:"):
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
continue
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
data_str = line[5:].strip()
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
if not data_str or data_str == "[DONE]":
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
continue
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
try:
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
evt = json.loads(data_str)
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
except Exception:
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
continue
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
ev = evt.get("event")
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
if evt.get("conversation_id"):
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
new_conv_id = evt["conversation_id"]
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
data = evt.get("data") or {}
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
# 兼容三类 Dify 应用:
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
# 1) Chat/Agent 应用: message / agent_message 事件带增量 answer
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
# 2) Chatflow/Workflow 应用: text_chunk 事件带 data.text;
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
# 结束时 workflow_finished 带 status / outputs / error
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
if ev in ("message", "agent_message"):
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
answer_parts.append(evt.get("answer", "") or "")
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
elif ev == "message_replace":
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
# 内容审查替换:以替换后的完整 answer 为准
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
answer_parts = [evt.get("answer", "") or ""]
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
elif ev == "text_chunk":
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
answer_parts.append((data.get("text") or ""))
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
elif ev == "node_finished":
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
# answer / end 节点的 outputs 可能含最终文本
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
if data.get("node_type") in ("answer", "end") and data.get("outputs"):
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
wf_outputs = data.get("outputs")
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
if data.get("status") == "failed" and data.get("error"):
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
err_msg = str(data.get("error"))
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
elif ev == "workflow_finished":
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
if data.get("status") == "failed":
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
err_msg = str(data.get("error") or "Dify 工作流执行失败")
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
elif data.get("outputs"):
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
wf_outputs = data.get("outputs")
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
elif ev == "error":
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
err_msg = evt.get("message") or evt.get("code") or "Dify 流式返回错误"
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
break
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
else:
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
raise RuntimeError("Dify 重定向次数过多(>4),请直接填写重定向后的地址")
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
answer = "".join(answer_parts).strip()
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
# 流式无增量文本时,尝试从 workflow 结束 outputs 兜底提取
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
if not answer and wf_outputs:
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
answer = _extract_text_from_json(wf_outputs).strip()
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
if not answer and err_msg:
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
raise RuntimeError(err_msg)
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
return answer, new_conv_id
|
||||||
|
|
||||||
|
async def _call_n8n_agent(endpoint: str, api_key: str, query: str,
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
user_id: str, history: list) -> tuple:
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
"""调用 n8n 生产 Webhook (POST)。webhook 用 Respond to Webhook 节点返回 JSON,
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
尽力从中抽取文本回答。n8n webhook 无平台级会话态,多轮靠我们下发 history。
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
返回 (answer, None)。"""
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
url = (endpoint or "").strip()
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
headers = {"Content-Type": "application/json"}
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
if api_key:
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
# n8n Header Auth 自定义头名不固定,同时下发常见几种以提高兼容性
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
headers["Authorization"] = f"Bearer {api_key}"
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
headers["X-N8N-API-KEY"] = api_key
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
# 携带多种字段别名,兼容 n8n AI Agent(chatInput) 与自定义工作流
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
payload = {
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
"query": query,
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
"chatInput": query,
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
"message": query,
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
"input": query,
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
"user": (user_id or "web-user")[:64],
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
"history": history or [],
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
}
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
async with httpx.AsyncClient(timeout=180, proxy=_proxy_for_url(url), trust_env=False) as client:
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
resp = await client.post(url, headers=headers, json=payload)
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
if resp.status_code not in (200, 201):
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
raise RuntimeError(f"n8n Webhook HTTP {resp.status_code}: {resp.text[:300]}")
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
ctype = resp.headers.get("content-type", "")
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
if "application/json" in ctype:
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
try:
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
answer = _extract_text_from_json(resp.json())
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
except Exception:
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
answer = resp.text
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
else:
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
answer = resp.text
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
return (answer or "").strip(), None
|
||||||
|
|
||||||
|
async def _call_coze_agent(endpoint: str, api_key: str, query: str,
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
user_id: str, ext_conv_id: str | None) -> tuple:
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
"""调用扣子(Coze) v3 对话 API:create → 轮询 retrieve → 拉取 message list。
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
约定 agent_endpoint 存放 bot_id(纯 id),或形如
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
https://api.coze.cn/v3/chat?bot_id=xxx 的完整地址。默认基址 api.coze.cn。
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
返回 (answer, conversation_id)。
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
"""
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
ep = (endpoint or "").strip()
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
from urllib.parse import urlparse, parse_qs
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
bot_id = None
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
base = "https://api.coze.cn"
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
if ep.startswith("http"):
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
pr = urlparse(ep)
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
base = f"{pr.scheme}://{pr.netloc}"
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
qs = parse_qs(pr.query)
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
bot_id = (qs.get("bot_id") or [None])[0]
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
if not bot_id and "/bot/" in pr.path:
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
bot_id = pr.path.rstrip("/").split("/bot/")[-1]
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
else:
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
bot_id = ep # 纯 bot_id
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
if not bot_id:
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
raise RuntimeError("Coze 接入缺少 bot_id(请在 Endpoint 填入 bot_id 或带 ?bot_id= 的地址)")
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
create_url = f"{base}/v3/chat"
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
if ext_conv_id:
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
create_url += f"?conversation_id={ext_conv_id}"
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
payload = {
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
"bot_id": bot_id,
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
"user_id": (user_id or "web-user")[:64],
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
"stream": False,
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
"auto_save_history": True,
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
"additional_messages": [
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
{"role": "user", "content": query, "content_type": "text"}
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
],
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
}
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
async with httpx.AsyncClient(timeout=180, proxy=_proxy_for_url(create_url), trust_env=False) as client:
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
r = await client.post(create_url, headers=headers, json=payload)
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
if r.status_code != 200:
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
raise RuntimeError(f"Coze create HTTP {r.status_code}: {r.text[:300]}")
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
cd = r.json()
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
if cd.get("code") not in (0, None):
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
raise RuntimeError(f"Coze 错误: {cd.get('msg') or cd}")
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
chat = cd.get("data") or {}
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
chat_id = chat.get("id")
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
conv_id2 = chat.get("conversation_id") or ext_conv_id
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
if not chat_id or not conv_id2:
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
raise RuntimeError(f"Coze 未返回 chat_id/conversation_id: {str(cd)[:200]}")
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
# 轮询直到完成(最多约 3 分钟)
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
status = chat.get("status")
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
for _ in range(60):
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
if status == "completed":
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
break
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
if status in ("failed", "requires_action", "canceled"):
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
raise RuntimeError(f"Coze 对话状态 {status}")
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
await asyncio.sleep(3)
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
rr = await client.get(
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
f"{base}/v3/chat/retrieve?chat_id={chat_id}&conversation_id={conv_id2}",
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
headers=headers,
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
)
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
if rr.status_code == 200:
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
status = ((rr.json() or {}).get("data") or {}).get("status")
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
# 拉取消息列表,取 type=answer 的内容
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
rm = await client.get(
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
f"{base}/v3/chat/message/list?chat_id={chat_id}&conversation_id={conv_id2}",
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
headers=headers,
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
)
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
answer = ""
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
if rm.status_code == 200:
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
for m in ((rm.json() or {}).get("data") or []):
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
if m.get("type") == "answer" and m.get("role") == "assistant":
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
answer = m.get("content", "") or answer
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
return (answer or "").strip(), conv_id2
|
||||||
|
|
||||||
|
async def _call_external_agent(db, agent: dict, query: str, user_id: str,
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
ext_conversation_id: str | None,
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
history: list) -> tuple:
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
"""按平台分发到对应外部 Agent 远程调用。返回 (answer, new_ext_conversation_id)。"""
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
platform = (agent.get("platform") or "dify").lower()
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
endpoint = agent.get("agent_endpoint")
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
api_key = agent.get("agent_api_key") or ""
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
if not endpoint:
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
raise RuntimeError("该 Agent 未配置远程调用地址(agent_endpoint)")
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
if platform == "dify":
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
return await _call_dify_agent(endpoint, api_key, query, user_id, ext_conversation_id)
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
if platform == "n8n":
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
return await _call_n8n_agent(endpoint, api_key, query, user_id, history)
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
if platform == "coze":
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
return await _call_coze_agent(endpoint, api_key, query, user_id, ext_conversation_id)
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
# 未知平台:默认按 Dify 协议尝试
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
return await _call_dify_agent(endpoint, api_key, query, user_id, ext_conversation_id)
|
||||||
File diff suppressed because it is too large.
Load diff
@@ -0,0 +1,319 @@
|
|||||||
|
# Auto-extracted from chat.py during Phase 1 refactor (Strangler Fig).
|
||||||
|
# Source of truth: scripts/phase1_extract.py. Do not hand-merge back.
|
||||||
|
|
||||||
|
from fastapi import APIRouter, Depends, HTTPException, Query, Response
|
||||||
|
from sqlalchemy.orm import Session
|
||||||
|
from sqlalchemy import and_, desc, asc, func
|
||||||
|
from pydantic import BaseModel, Field
|
||||||
|
from typing import Optional
|
||||||
|
import uuid
|
||||||
|
from datetime import datetime, timezone, timedelta
|
||||||
|
import re
|
||||||
|
import json
|
||||||
|
import asyncio
|
||||||
|
import math
|
||||||
|
import httpx
|
||||||
|
import os
|
||||||
|
import logging
|
||||||
|
from ..database import get_db, SessionLocal
|
||||||
|
from ..models import (
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
User, Conversation, Message, AIModel, ModelProvider, TokenUsageLog,
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
KnowledgeBase, KnowledgeDocument, KnowledgeDocumentChunk, EvolutionSkill,
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
EvolutionTrajectory, MarketApp, AppPurchase, AppInstallation,
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
MCPServer,
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
gen_uuid
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
)
|
||||||
|
from ..auth import get_current_user
|
||||||
|
from ..platform_knowledge import get_platform_knowledge
|
||||||
|
from ..mcp_client import list_mcp_tools, call_mcp_tool
|
||||||
|
from ..middleware.log_service import LogService
|
||||||
|
from ..capability_registry import resolve_auto_model
|
||||||
|
from app.api.chat_utils import (cst_now)
|
||||||
|
|
||||||
|
def _build_knowledge_graph(db: Session, kb: KnowledgeBase) -> dict:
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
"""从知识库文档构建知识图谱节点和边,返回 graph_data。"""
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
documents = db.query(KnowledgeDocument).filter(
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
and_(
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
KnowledgeDocument.knowledge_base_id == kb.id,
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
KnowledgeDocument.status == "completed",
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
)
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
).all()
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
graph_nodes = []
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
graph_edges = []
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
doc_entity_types = [
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
{"type": "concept", "label": "核心概念"},
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
{"type": "entity", "label": "关键实体"},
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
{"type": "attribute", "label": "属性特征"},
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
{"type": "relation", "label": "关联关系"},
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
]
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
for idx, doc in enumerate(documents):
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
doc_node_id = f"doc-{doc.id[:8]}"
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
graph_nodes.append({
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
"id": doc_node_id, "label": doc.filename, "type": "document", "size": 18, "group": "document",
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
})
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
filename_base = doc.filename.rsplit(".", 1)[0]
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
words = filename_base.replace("_", " ").replace("-", " ").split()
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
for wi, word in enumerate(words):
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
if len(word) >= 2:
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
entity_type = doc_entity_types[wi % len(doc_entity_types)]
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
node_id = f"ent-{doc.id[:8]}-{wi}"
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
graph_nodes.append({
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
"id": node_id, "label": word, "type": entity_type["type"],
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
"size": 10 + (wi % 8), "group": entity_type["type"],
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
})
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
graph_edges.append({
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
"source": doc_node_id, "target": node_id,
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
"label": entity_type["label"], "weight": 0.5 + (0.5 / (wi + 1)),
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
})
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
for i in range(len(documents)):
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
for j in range(i + 1, len(documents)):
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
fi = documents[i].filename.lower().rsplit(".", 1)[0]
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
fj = documents[j].filename.lower().rsplit(".", 1)[0]
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
words_i = set(fi.replace("_", " ").replace("-", " ").split())
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
words_j = set(fj.replace("_", " ").replace("-", " ").split())
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
common = words_i & words_j
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
if common and len(common) > 0:
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
graph_edges.append({
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
"source": f"doc-{documents[i].id[:8]}",
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
"target": f"doc-{documents[j].id[:8]}",
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
"label": f"共有关键词: {', '.join(list(common)[:3])}",
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
"weight": min(0.9, 0.3 * len(common)),
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
})
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
graph_data = {
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
"nodes": graph_nodes,
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
"edges": graph_edges,
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
"stats": {
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
"total_nodes": len(graph_nodes), "total_edges": len(graph_edges),
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
"document_count": len(documents),
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
},
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
}
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
kb.knowledge_graph_count = len(graph_nodes)
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
kb.updated_at = cst_now()
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
return graph_data
|
||||||
@@ -0,0 +1,240 @@
|
|||||||
|
# Auto-extracted from chat.py during Phase 1 refactor (Strangler Fig).
|
||||||
|
# Source of truth: scripts/phase1_extract.py. Do not hand-merge back.
|
||||||
|
|
||||||
|
from fastapi import APIRouter, Depends, HTTPException, Query, Response
|
||||||
|
from sqlalchemy.orm import Session
|
||||||
|
from sqlalchemy import and_, desc, asc, func
|
||||||
|
from pydantic import BaseModel, Field
|
||||||
|
from typing import Optional
|
||||||
|
import uuid
|
||||||
|
from datetime import datetime, timezone, timedelta
|
||||||
|
import re
|
||||||
|
import json
|
||||||
|
import asyncio
|
||||||
|
import math
|
||||||
|
import httpx
|
||||||
|
import os
|
||||||
|
import logging
|
||||||
|
from ..database import get_db, SessionLocal
|
||||||
|
from ..models import (
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
User, Conversation, Message, AIModel, ModelProvider, TokenUsageLog,
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
KnowledgeBase, KnowledgeDocument, KnowledgeDocumentChunk, EvolutionSkill,
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
EvolutionTrajectory, MarketApp, AppPurchase, AppInstallation,
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
MCPServer,
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
gen_uuid
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
)
|
||||||
|
from ..auth import get_current_user
|
||||||
|
from ..platform_knowledge import get_platform_knowledge
|
||||||
|
from ..mcp_client import list_mcp_tools, call_mcp_tool
|
||||||
|
from ..middleware.log_service import LogService
|
||||||
|
from ..capability_registry import resolve_auto_model
|
||||||
|
|
||||||
|
def _resolve_market_mcp(db: Session, mcp_ids: list, user_id: str) -> list:
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
"""
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
加载用户选择的 MCP 应用配置(MarketApp.type == 'mcp')。
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
返回: [{id, name, transport, endpoint, description}]
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
"""
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
if not mcp_ids:
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
return []
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
mcps = db.query(MarketApp).filter(
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
MarketApp.id.in_(mcp_ids),
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
MarketApp.type == "mcp"
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
).all()
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
results = []
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
for m in mcps:
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
config = {}
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
try:
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
if m.skill_content:
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
config = json.loads(m.skill_content)
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
except Exception:
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
config = {}
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
results.append({
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
"id": m.id,
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
"name": m.name,
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
"transport": m.mcp_transport or config.get("transport", "stdio"),
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
"endpoint": m.agent_endpoint or config.get("endpoint", "") or config.get("url", ""),
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
"description": m.description or config.get("description", ""),
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
})
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
return results
|
||||||
|
|
||||||
|
def _resolve_active_mcp_servers(db: Session, mcp_ids: list) -> list:
|
||||||
|
|
||||||
|
"""
|
||||||
|
|
||||||
|
解析用户选中的 MCP 服务连接信息(来自 mcp_servers 表,import 与后台添加通用)。
|
||||||
|
|
||||||
|
返回: [{id, name, description, transport, endpoint, url, headers}]
|
||||||
|
|
||||||
|
"""
|
||||||
|
|
||||||
|
if not mcp_ids:
|
||||||
|
|
||||||
|
return []
|
||||||
|
|
||||||
|
servers = db.query(MCPServer).filter(
|
||||||
|
|
||||||
|
MCPServer.id.in_(mcp_ids),
|
||||||
|
|
||||||
|
MCPServer.is_enabled == True,
|
||||||
|
|
||||||
|
).all()
|
||||||
|
|
||||||
|
out = []
|
||||||
|
|
||||||
|
for s in servers:
|
||||||
|
|
||||||
|
try:
|
||||||
|
|
||||||
|
headers = json.loads(s.headers) if isinstance(s.headers, str) else (s.headers or {})
|
||||||
|
|
||||||
|
except Exception:
|
||||||
|
|
||||||
|
headers = {}
|
||||||
|
|
||||||
|
out.append({
|
||||||
|
|
||||||
|
"id": s.id,
|
||||||
|
|
||||||
|
"name": s.name,
|
||||||
|
|
||||||
|
"description": s.description or "",
|
||||||
|
|
||||||
|
"transport": s.transport_type or "streamable_http",
|
||||||
|
|
||||||
|
"endpoint": s.url or "",
|
||||||
|
|
||||||
|
"url": s.url or "",
|
||||||
|
|
||||||
|
"headers": headers,
|
||||||
|
|
||||||
|
})
|
||||||
|
|
||||||
|
return out
|
||||||
|
|
||||||
|
def _list_enabled_mcp_servers(db: Session) -> list:
|
||||||
|
"""返回平台所有已启用(is_enabled=True)的 MCP 服务清单,供 AI 准确回答"平台有哪些 MCP"。"""
|
||||||
|
servers = db.query(MCPServer).filter(MCPServer.is_enabled == True).all()
|
||||||
|
out = []
|
||||||
|
for s in servers:
|
||||||
|
try:
|
||||||
|
headers = json.loads(s.headers) if isinstance(s.headers, str) else (s.headers or {})
|
||||||
|
except Exception:
|
||||||
|
headers = {}
|
||||||
|
out.append({
|
||||||
|
"id": s.id,
|
||||||
|
"name": s.name,
|
||||||
|
"description": s.description or "",
|
||||||
|
"transport": s.transport_type or "streamable_http",
|
||||||
|
"endpoint": s.url or "",
|
||||||
|
"url": s.url or "",
|
||||||
|
"headers": headers,
|
||||||
|
})
|
||||||
|
return out
|
||||||
File diff suppressed because it is too large.
Load diff
File diff suppressed because it is too large.
Load diff
File diff suppressed because it is too large.
Load diff
@@ -0,0 +1,378 @@
|
|||||||
|
# Auto-extracted from chat.py during Phase 1 refactor (Strangler Fig).
|
||||||
|
# Source of truth: scripts/phase1_extract.py. Do not hand-merge back.
|
||||||
|
|
||||||
|
from fastapi import APIRouter, Depends, HTTPException, Query, Response
|
||||||
|
from sqlalchemy.orm import Session
|
||||||
|
from sqlalchemy import and_, desc, asc, func
|
||||||
|
from pydantic import BaseModel, Field
|
||||||
|
from typing import Optional
|
||||||
|
import uuid
|
||||||
|
from datetime import datetime, timezone, timedelta
|
||||||
|
import re
|
||||||
|
import json
|
||||||
|
import asyncio
|
||||||
|
import math
|
||||||
|
import httpx
|
||||||
|
import os
|
||||||
|
import logging
|
||||||
|
from ..database import get_db, SessionLocal
|
||||||
|
from ..models import (
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
User, Conversation, Message, AIModel, ModelProvider, TokenUsageLog,
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
KnowledgeBase, KnowledgeDocument, KnowledgeDocumentChunk, EvolutionSkill,
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
EvolutionTrajectory, MarketApp, AppPurchase, AppInstallation,
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
MCPServer,
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
gen_uuid
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
)
|
||||||
|
from ..auth import get_current_user
|
||||||
|
from ..platform_knowledge import get_platform_knowledge
|
||||||
|
from ..mcp_client import list_mcp_tools, call_mcp_tool
|
||||||
|
from ..middleware.log_service import LogService
|
||||||
|
from ..capability_registry import resolve_auto_model
|
||||||
|
|
||||||
|
logger = logging.getLogger(__name__)
|
||||||
|
|
||||||
|
CST_TZ = timezone(timedelta(hours=8))
|
||||||
|
|
||||||
|
def cst_now():
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
"""Get current time in CST timezone"""
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
return datetime.now(CST_TZ)
|
||||||
|
|
||||||
|
def _html_escape(s: str) -> str:
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
return (str(s).replace("&", "&").replace("<", "<").replace(">", ">")
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
.replace('"', """).replace("'", "'"))
|
||||||
|
|
||||||
|
def _outbound_proxy() -> str:
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
"""出网代理地址(兜底)。默认经 172.18.0.1:7890 智能路由代理;
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
运行时若未注入代理环境变量则回退到该地址。"""
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
import os
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
return os.environ.get("HTTPS_PROXY") or os.environ.get("HTTP_PROXY") or "http://172.18.0.1:7890"
|
||||||
|
|
||||||
|
_HK_PROXY = "http://qyyfw:XHR521yhf@103.242.14.208:11495"
|
||||||
|
|
||||||
|
def _proxy_for_url(url: str) -> str | None:
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
"""按目标域名选择是否走代理。
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
2026-07-15 调整:AGNES(apihub.agnes-ai.com / platform-outputs.agnes-ai.space)
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
经用户实测走香港代理 103.242.14.208:11495 延迟更低、更稳定,故改为走 HK 代理
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
(带鉴权),不再直连,也不经智能路由代理(172.18.0.1:7890 对 AGNES 返 502)。
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
其余国内/平台域名直连,真正的境外域名走 _outbound_proxy()。
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
注意:httpx 默认 trust_env=True 会忽略 proxy 参数而改用环境变量 HTTP_PROXY,
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
故调用方必须同时传 trust_env=False 才能真正走此处指定的代理。
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
"""
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
import os
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
from urllib.parse import urlparse
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
host = (urlparse(url).hostname or "").lower()
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
if "agnes-ai.com" in host or "agnes-ai.space" in host:
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
return _HK_PROXY
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
# 平台自有域名(含自建 Dify/n8n 等)必须直连,不经出网代理。
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
if "qihuyun.com" in host:
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
return None
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
# 尊重 NO_PROXY:国内域名(硅基流动/DeepSeek/小米MoE 等)直连更稳定,
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
# 避免经易波动的智能路由代理 172.18.0.1:7890(对国内域名偶发连接重置)。
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
_no_proxy = [h.strip().lower() for h in os.environ.get("NO_PROXY", "").split(",") if h.strip()]
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
for _np in _no_proxy:
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
if host == _np or host.endswith("." + _np) or _np in host:
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
return None
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
return _outbound_proxy()
|
||||||
|
|
||||||
|
def _extract_text_from_json(obj) -> str:
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
"""从 n8n / 通用 webhook 的任意 JSON 响应中尽力抽取文本回答。"""
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
if obj is None:
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
return ""
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
if isinstance(obj, str):
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
return obj
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
if isinstance(obj, (int, float, bool)):
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
return str(obj)
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
if isinstance(obj, list):
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
# 取第一个可抽取到文本的元素
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
for it in obj:
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
t = _extract_text_from_json(it)
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
if t:
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
return t
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
return ""
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
if isinstance(obj, dict):
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
# 常见回答字段优先级
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
for k in ("output", "text", "answer", "response", "reply",
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
"message", "content", "result", "data"):
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
if k in obj:
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
t = _extract_text_from_json(obj[k])
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
if t:
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
return t
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
# 兜底:整体序列化
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
try:
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
return json.dumps(obj, ensure_ascii=False)
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
except Exception:
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
return str(obj)
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
return str(obj)
|
||||||
|
|
||||||
|
class CreateConversationRequest(BaseModel):
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
title: str = Field(default="新对话")
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
model_id: Optional[str] = None
|
||||||
|
|
||||||
|
class UpdateConversationRequest(BaseModel):
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
title: Optional[str] = None
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
status: Optional[str] = None # active, archived
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
pinned: Optional[bool] = None
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
agent_ids: Optional[list] = None
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
skill_ids: Optional[list] = None
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
knowledge_base_ids: Optional[list] = None
|
||||||
|
|
||||||
|
class SendMessageRequest(BaseModel):
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
content: str
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
model_id: Optional[str] = None
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
skill_ids: Optional[list] = None
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
agent_ids: Optional[list] = None
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
knowledge_base_ids: Optional[list] = None
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
mcp_ids: Optional[list] = None
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
attachments: Optional[list] = None
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
use_tools: Optional[bool] = False
|
||||||
+234
-232
@@ -1,232 +1,234 @@
|
|||||||
"""
|
"""
|
||||||
IM Bot 真实 LLM 调用。
|
IM Bot 真实 LLM 调用。
|
||||||
|
|
||||||
原实现位于 channels.py(通用频道管理模块),该模块已移除。
|
原实现位于 channels.py(通用频道管理模块),该模块已移除。
|
||||||
为保持 IM Bot(微信机器人等)正常生成回复,将 _call_real_llm 迁移至此独立模块。
|
为保持 IM Bot(微信机器人等)正常生成回复,将 _call_real_llm 迁移至此独立模块。
|
||||||
|
|
||||||
行为(对齐 AI 聊天):
|
行为(对齐 AI 聊天):
|
||||||
- Issue 7:图像/视频/语音意图优先走平台媒体模型(与 AI 聊天同一套 Auto 路由),
|
- Issue 7:图像/视频/语音意图优先走平台媒体模型(与 AI 聊天同一套 Auto 路由),
|
||||||
不再对"制作图片"这类请求只回文本。
|
不再对"制作图片"这类请求只回文本。
|
||||||
- Issue 8:默认 Auto 模型;每轮先自动发现本账号已安装且平台已部署的技能,
|
- Issue 8:默认 Auto 模型;每轮先自动发现本账号已安装且平台已部署的技能,
|
||||||
多个适用时由模型自行判断选 1 个最优,通过 function calling 执行。
|
多个适用时由模型自行判断选 1 个最优,通过 function calling 执行。
|
||||||
- 2026-07-15:修复 trust_env=False + proxy 处理,避免容器坏代理导致调用失败;
|
- 2026-07-15:修复 trust_env=False + proxy 处理,避免容器坏代理导致调用失败;
|
||||||
媒体生成前先经 _optimize_media_prompt 精炼提示词,提升 AGNES 生成质量。
|
媒体生成前先经 _optimize_media_prompt 精炼提示词,提升 AGNES 生成质量。
|
||||||
"""
|
"""
|
||||||
import asyncio
|
import asyncio
|
||||||
import json
|
import json
|
||||||
import logging
|
import logging
|
||||||
import re as _re
|
import re as _re
|
||||||
from datetime import datetime, timezone, timedelta
|
from datetime import datetime, timezone, timedelta
|
||||||
from typing import Optional
|
from typing import Optional
|
||||||
from urllib.parse import urlparse as _urlparse
|
from urllib.parse import urlparse as _urlparse
|
||||||
|
|
||||||
import httpx
|
import httpx
|
||||||
from sqlalchemy.orm import Session
|
from sqlalchemy.orm import Session
|
||||||
|
|
||||||
from ..capability_registry import resolve_auto_model
|
from ..capability_registry import resolve_auto_model
|
||||||
from ..models import AIModel, ModelProvider, TokenUsageLog, gen_uuid
|
from ..models import AIModel, ModelProvider, TokenUsageLog, gen_uuid
|
||||||
|
from app.core.observability import get_trace_id
|
||||||
logger = logging.getLogger(__name__)
|
|
||||||
|
logger = logging.getLogger(__name__)
|
||||||
|
|
||||||
# 香港出网代理(实测对 AGNES 延迟更低,2026-07-15 用户实测),与 chat.py 同值。
|
|
||||||
_HK_PROXY = "http://qyyfw:XHR521yhf@103.242.14.208:11495"
|
# 香港出网代理(实测对 AGNES 延迟更低,2026-07-15 用户实测),与 chat.py 同值。
|
||||||
|
_HK_PROXY = "http://qyyfw:XHR521yhf@103.242.14.208:11495"
|
||||||
|
|
||||||
def _proxy_for_url(url: str) -> str | None:
|
|
||||||
"""按目标域名选择是否走代理(与 chat.py 同逻辑)。
|
def _proxy_for_url(url: str) -> str | None:
|
||||||
|
"""按目标域名选择是否走代理(与 chat.py 同逻辑)。
|
||||||
2026-07-15 调整:AGNES 改走香港代理(实测延迟更低),不再直连。
|
|
||||||
国内域名(尊重 NO_PROXY)直连,更稳定。
|
2026-07-15 调整:AGNES 改走香港代理(实测延迟更低),不再直连。
|
||||||
"""
|
国内域名(尊重 NO_PROXY)直连,更稳定。
|
||||||
import os
|
"""
|
||||||
host = (_urlparse(url).hostname or "").lower()
|
import os
|
||||||
if "agnes-ai.com" in host or "agnes-ai.space" in host:
|
host = (_urlparse(url).hostname or "").lower()
|
||||||
return _HK_PROXY
|
if "agnes-ai.com" in host or "agnes-ai.space" in host:
|
||||||
if "qihuyun.com" in host:
|
return _HK_PROXY
|
||||||
return None
|
if "qihuyun.com" in host:
|
||||||
_no_proxy = [h.strip().lower() for h in os.environ.get("NO_PROXY", "").split(",") if h.strip()]
|
return None
|
||||||
for _np in _no_proxy:
|
_no_proxy = [h.strip().lower() for h in os.environ.get("NO_PROXY", "").split(",") if h.strip()]
|
||||||
if host == _np or host.endswith("." + _np) or _np in host:
|
for _np in _no_proxy:
|
||||||
return None
|
if host == _np or host.endswith("." + _np) or _np in host:
|
||||||
return os.environ.get("HTTPS_PROXY") or os.environ.get("HTTP_PROXY") or "http://172.18.0.1:7890"
|
return None
|
||||||
|
return os.environ.get("HTTPS_PROXY") or os.environ.get("HTTP_PROXY") or "http://172.18.0.1:7890"
|
||||||
|
|
||||||
def _run_async(coro, timeout=None):
|
|
||||||
"""在同步上下文中运行协程,兼容「无事件循环」与「已有事件循环」两种场景。
|
def _run_async(coro, timeout=None):
|
||||||
|
"""在同步上下文中运行协程,兼容「无事件循环」与「已有事件循环」两种场景。
|
||||||
IM 个人微信在独立线程中调用(无事件循环)→ asyncio.run;
|
|
||||||
IM 多平台 Webhook 可能在 FastAPI 协程内调用(已有事件循环)→ 丢到线程池执行。
|
IM 个人微信在独立线程中调用(无事件循环)→ asyncio.run;
|
||||||
|
IM 多平台 Webhook 可能在 FastAPI 协程内调用(已有事件循环)→ 丢到线程池执行。
|
||||||
timeout: 可选,秒数;超时抛出 asyncio.TimeoutError(由调用方捕获)。
|
|
||||||
"""
|
timeout: 可选,秒数;超时抛出 asyncio.TimeoutError(由调用方捕获)。
|
||||||
try:
|
"""
|
||||||
loop = asyncio.get_running_loop()
|
try:
|
||||||
except RuntimeError:
|
loop = asyncio.get_running_loop()
|
||||||
loop = None
|
except RuntimeError:
|
||||||
|
loop = None
|
||||||
if timeout is not None:
|
|
||||||
async def _timed():
|
if timeout is not None:
|
||||||
return await asyncio.wait_for(coro, timeout=timeout)
|
async def _timed():
|
||||||
target = _timed()
|
return await asyncio.wait_for(coro, timeout=timeout)
|
||||||
else:
|
target = _timed()
|
||||||
target = coro
|
else:
|
||||||
|
target = coro
|
||||||
if loop is not None and loop.is_running():
|
|
||||||
import concurrent.futures
|
if loop is not None and loop.is_running():
|
||||||
with concurrent.futures.ThreadPoolExecutor(1) as ex:
|
import concurrent.futures
|
||||||
return ex.submit(lambda: asyncio.run(target)).result(timeout=(timeout + 10) if timeout else None)
|
with concurrent.futures.ThreadPoolExecutor(1) as ex:
|
||||||
return asyncio.run(target)
|
return ex.submit(lambda: asyncio.run(target)).result(timeout=(timeout + 10) if timeout else None)
|
||||||
|
return asyncio.run(target)
|
||||||
|
|
||||||
def _log_media_usage(db: Session, user_id: str, ai_model, media_type: str, prompt: str):
|
|
||||||
"""IM Bot 媒体生成记账:把图片/视频消耗写入 TokenUsageLog,供驾驶舱统计。
|
def _log_media_usage(db: Session, user_id: str, ai_model, media_type: str, prompt: str):
|
||||||
|
"""IM Bot 媒体生成记账:把图片/视频消耗写入 TokenUsageLog,供驾驶舱统计。
|
||||||
此前 IM Bot 路径完全不写 TokenUsageLog,导致微信生成的图片/视频在驾驶舱里“查无此项”。
|
|
||||||
媒体 API 不返回 token 用量,这里用与 chat.py _generate_media_task 一致的估算。
|
此前 IM Bot 路径完全不写 TokenUsageLog,导致微信生成的图片/视频在驾驶舱里“查无此项”。
|
||||||
"""
|
媒体 API 不返回 token 用量,这里用与 chat.py _generate_media_task 一致的估算。
|
||||||
if not user_id or not ai_model:
|
"""
|
||||||
return
|
if not user_id or not ai_model:
|
||||||
try:
|
return
|
||||||
base = 1200 if media_type == "video" else 400
|
try:
|
||||||
est = base + (len(prompt or "") // 4)
|
base = 1200 if media_type == "video" else 400
|
||||||
db.add(TokenUsageLog(
|
est = base + (len(prompt or "") // 4)
|
||||||
id=gen_uuid(),
|
db.add(TokenUsageLog(
|
||||||
user_id=user_id,
|
id=gen_uuid(),
|
||||||
model_id=ai_model.id,
|
user_id=user_id,
|
||||||
model_name=ai_model.name,
|
model_id=ai_model.id,
|
||||||
prompt_tokens=est,
|
model_name=ai_model.name,
|
||||||
completion_tokens=0,
|
trace_id=get_trace_id(),
|
||||||
total_tokens=est,
|
prompt_tokens=est,
|
||||||
created_at=datetime.now(timezone(timedelta(hours=8))).replace(tzinfo=None),
|
completion_tokens=0,
|
||||||
))
|
total_tokens=est,
|
||||||
db.commit()
|
created_at=datetime.now(timezone(timedelta(hours=8))).replace(tzinfo=None),
|
||||||
except Exception as e:
|
))
|
||||||
try:
|
db.commit()
|
||||||
db.rollback()
|
except Exception as e:
|
||||||
except Exception:
|
try:
|
||||||
pass
|
db.rollback()
|
||||||
logger.warning(f"[im_llm] 媒体 Token 记账失败(忽略): {e}")
|
except Exception:
|
||||||
|
pass
|
||||||
|
logger.warning(f"[im_llm] 媒体 Token 记账失败(忽略): {e}")
|
||||||
def _call_real_llm(db: Session, user=None, prompt: str = "", platform: str = "im", user_id: str = None) -> "str | dict":
|
|
||||||
"""调用七虎AI 生成回复,供 IM Bot 复用。支持媒体意图路由与已安装技能自动发现。"""
|
|
||||||
try:
|
def _call_real_llm(db: Session, user=None, prompt: str = "", platform: str = "im", user_id: str = None) -> "str | dict":
|
||||||
from app.api.chat import (
|
"""调用七虎AI 生成回复,供 IM Bot 复用。支持媒体意图路由与已安装技能自动发现。"""
|
||||||
_generate_media,
|
try:
|
||||||
detect_media_intent,
|
from app.api.chat import (
|
||||||
_discover_installed_skills,
|
_generate_media,
|
||||||
_build_system_prompt,
|
detect_media_intent,
|
||||||
_execute_skill_tool,
|
_discover_installed_skills,
|
||||||
)
|
_build_system_prompt,
|
||||||
|
_execute_skill_tool,
|
||||||
# ===== 1) 媒体意图路由(Issue 7)=====
|
)
|
||||||
intent = detect_media_intent(prompt)
|
|
||||||
if intent:
|
# ===== 1) 媒体意图路由(Issue 7)=====
|
||||||
ai_model = resolve_auto_model(intent, db)
|
intent = detect_media_intent(prompt)
|
||||||
if ai_model:
|
if intent:
|
||||||
try:
|
ai_model = resolve_auto_model(intent, db)
|
||||||
result = _run_async(_generate_media(db, ai_model, prompt, user_id), timeout=300)
|
if ai_model:
|
||||||
except Exception:
|
try:
|
||||||
# 任何未预期异常(如 AGNES 连接重置)统一兜底为友好提示,
|
result = _run_async(_generate_media(db, ai_model, prompt, user_id), timeout=300)
|
||||||
# 绝不直接把原始异常(如 "Server disconnected")甩给用户
|
except Exception:
|
||||||
result = "⚠️ 媒体生成暂时失败(连接或服务波动),请稍后重试。"
|
# 任何未预期异常(如 AGNES 连接重置)统一兜底为友好提示,
|
||||||
if result:
|
# 绝不直接把原始异常(如 "Server disconnected")甩给用户
|
||||||
# 媒体生成成功:返回结构化对象,交由 im_bot_user 在微信内联发送图片/视频
|
result = "⚠️ 媒体生成暂时失败(连接或服务波动),请稍后重试。"
|
||||||
s = result.strip()
|
if result:
|
||||||
if s.startswith("<img") or s.startswith("<video"):
|
# 媒体生成成功:返回结构化对象,交由 im_bot_user 在微信内联发送图片/视频
|
||||||
m = _re.search(r'src="([^"]+)"', s)
|
s = result.strip()
|
||||||
url = m.group(1) if m else ""
|
if s.startswith("<img") or s.startswith("<video"):
|
||||||
media_type = "image" if s.startswith("<img") else "video"
|
m = _re.search(r'src="([^"]+)"', s)
|
||||||
if not url:
|
url = m.group(1) if m else ""
|
||||||
return "(生成完成,但未能提取媒体地址)"
|
media_type = "image" if s.startswith("<img") else "video"
|
||||||
# IM Bot 路径此前完全不记账 → 补写媒体消耗,驾驶舱才看得到图片/视频数据
|
if not url:
|
||||||
_log_media_usage(db, user_id, ai_model, media_type, prompt)
|
return "(生成完成,但未能提取媒体地址)"
|
||||||
return {"__media__": True, "media_type": media_type, "url": url}
|
# IM Bot 路径此前完全不记账 → 补写媒体消耗,驾驶舱才看得到图片/视频数据
|
||||||
# 媒体生成失败:_generate_media 已返回友好中文(如限频/队列繁忙),
|
_log_media_usage(db, user_id, ai_model, media_type, prompt)
|
||||||
# 直接透传,绝不把原始提示词/标签/JSON 透传给用户
|
return {"__media__": True, "media_type": media_type, "url": url}
|
||||||
if s.startswith("⚠️") or s.startswith("(媒体"):
|
# 媒体生成失败:_generate_media 已返回友好中文(如限频/队列繁忙),
|
||||||
return s
|
# 直接透传,绝不把原始提示词/标签/JSON 透传给用户
|
||||||
return "(媒体生成未能返回有效内容,请重试)"
|
if s.startswith("⚠️") or s.startswith("(媒体"):
|
||||||
|
return s
|
||||||
# ===== 2) 文本回复 + 技能自动发现(Issue 8)=====
|
return "(媒体生成未能返回有效内容,请重试)"
|
||||||
ai_model = resolve_auto_model("text", db)
|
|
||||||
if not ai_model:
|
# ===== 2) 文本回复 + 技能自动发现(Issue 8)=====
|
||||||
return "(未配置默认文本模型,无法生成回复)"
|
ai_model = resolve_auto_model("text", db)
|
||||||
provider = db.query(ModelProvider).filter(ModelProvider.id == ai_model.provider_id).first()
|
if not ai_model:
|
||||||
api_key = ai_model.api_key or (provider.api_key if provider else None)
|
return "(未配置默认文本模型,无法生成回复)"
|
||||||
api_url = ai_model.endpoint
|
provider = db.query(ModelProvider).filter(ModelProvider.id == ai_model.provider_id).first()
|
||||||
if not api_url and provider and provider.api_base_url:
|
api_key = ai_model.api_key or (provider.api_key if provider else None)
|
||||||
api_url = f"{provider.api_base_url.rstrip('/')}/v1/chat/completions"
|
api_url = ai_model.endpoint
|
||||||
if not (api_key and api_url):
|
if not api_url and provider and provider.api_base_url:
|
||||||
return "(模型未配置 API Key 或地址,无法生成回复)"
|
api_url = f"{provider.api_base_url.rstrip('/')}/v1/chat/completions"
|
||||||
|
if not (api_key and api_url):
|
||||||
# 自动发现本账号已安装且平台已部署的技能
|
return "(模型未配置 API Key 或地址,无法生成回复)"
|
||||||
skills = []
|
|
||||||
if user_id:
|
# 自动发现本账号已安装且平台已部署的技能
|
||||||
try:
|
skills = []
|
||||||
skills = _discover_installed_skills(db, user_id)[:15]
|
if user_id:
|
||||||
except Exception:
|
try:
|
||||||
skills = []
|
skills = _discover_installed_skills(db, user_id)[:15]
|
||||||
|
except Exception:
|
||||||
system_prompt, function_definitions = _build_system_prompt(
|
skills = []
|
||||||
skills=skills,
|
|
||||||
agents=[],
|
system_prompt, function_definitions = _build_system_prompt(
|
||||||
kb_context="",
|
skills=skills,
|
||||||
user_content=prompt,
|
agents=[],
|
||||||
mcp=[],
|
kb_context="",
|
||||||
auto_discovered=bool(skills),
|
user_content=prompt,
|
||||||
)
|
mcp=[],
|
||||||
messages = [
|
auto_discovered=bool(skills),
|
||||||
{"role": "system", "content": system_prompt},
|
)
|
||||||
{"role": "user", "content": prompt},
|
messages = [
|
||||||
]
|
{"role": "system", "content": system_prompt},
|
||||||
|
{"role": "user", "content": prompt},
|
||||||
max_rounds = 3
|
]
|
||||||
ai_content = ""
|
|
||||||
for _ in range(max_rounds):
|
max_rounds = 3
|
||||||
request_body = {"model": ai_model.name, "messages": messages, "max_tokens": 2048}
|
ai_content = ""
|
||||||
if function_definitions and skills:
|
for _ in range(max_rounds):
|
||||||
request_body["tools"] = [
|
request_body = {"model": ai_model.name, "messages": messages, "max_tokens": 2048}
|
||||||
{"type": "function", "function": fd} for fd in function_definitions
|
if function_definitions and skills:
|
||||||
]
|
request_body["tools"] = [
|
||||||
request_body["tool_choice"] = "auto"
|
{"type": "function", "function": fd} for fd in function_definitions
|
||||||
with httpx.Client(
|
]
|
||||||
timeout=ai_model.timeout or 120,
|
request_body["tool_choice"] = "auto"
|
||||||
proxy=_proxy_for_url(api_url),
|
with httpx.Client(
|
||||||
trust_env=False,
|
timeout=ai_model.timeout or 120,
|
||||||
) as client:
|
proxy=_proxy_for_url(api_url),
|
||||||
resp = client.post(
|
trust_env=False,
|
||||||
api_url,
|
) as client:
|
||||||
headers={"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"},
|
resp = client.post(
|
||||||
json=request_body,
|
api_url,
|
||||||
)
|
headers={"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"},
|
||||||
if resp.status_code != 200:
|
json=request_body,
|
||||||
return f"(AI 模型调用失败 HTTP {resp.status_code})"
|
)
|
||||||
data = resp.json()
|
if resp.status_code != 200:
|
||||||
message = data.get("choices", [{}])[0].get("message", {})
|
return f"(AI 模型调用失败 HTTP {resp.status_code})"
|
||||||
tool_calls = message.get("tool_calls", [])
|
data = resp.json()
|
||||||
if tool_calls and skills:
|
message = data.get("choices", [{}])[0].get("message", {})
|
||||||
messages.append({
|
tool_calls = message.get("tool_calls", [])
|
||||||
"role": "assistant",
|
if tool_calls and skills:
|
||||||
"content": message.get("content") or "",
|
messages.append({
|
||||||
"tool_calls": tool_calls,
|
"role": "assistant",
|
||||||
})
|
"content": message.get("content") or "",
|
||||||
for tc in tool_calls:
|
"tool_calls": tool_calls,
|
||||||
func_name = tc.get("function", {}).get("name", "")
|
})
|
||||||
try:
|
for tc in tool_calls:
|
||||||
func_args = json.loads(tc.get("function", {}).get("arguments", "{}"))
|
func_name = tc.get("function", {}).get("name", "")
|
||||||
except Exception:
|
try:
|
||||||
func_args = {"input": tc.get("function", {}).get("arguments", "")}
|
func_args = json.loads(tc.get("function", {}).get("arguments", "{}"))
|
||||||
tool_result = _execute_skill_tool(db, func_name, func_args, skills, prompt)
|
except Exception:
|
||||||
messages.append({
|
func_args = {"input": tc.get("function", {}).get("arguments", "")}
|
||||||
"role": "tool",
|
tool_result = _execute_skill_tool(db, func_name, func_args, skills, prompt)
|
||||||
"tool_call_id": tc.get("id", "call_1"),
|
messages.append({
|
||||||
"content": tool_result,
|
"role": "tool",
|
||||||
})
|
"tool_call_id": tc.get("id", "call_1"),
|
||||||
continue
|
"content": tool_result,
|
||||||
ai_content = message.get("content", "")
|
})
|
||||||
break
|
continue
|
||||||
return ai_content or "(AI 回复为空)"
|
ai_content = message.get("content", "")
|
||||||
except Exception as e:
|
break
|
||||||
return f"(AI 回复生成失败:{e})"
|
return ai_content or "(AI 回复为空)"
|
||||||
|
except Exception as e:
|
||||||
|
return f"(AI 回复生成失败:{e})"
|
||||||
@@ -5,6 +5,7 @@ import os
|
|||||||
import logging
|
import logging
|
||||||
from pathlib import Path
|
from pathlib import Path
|
||||||
from logging.handlers import TimedRotatingFileHandler
|
from logging.handlers import TimedRotatingFileHandler
|
||||||
|
from app.core.observability import TraceIdFilter, JsonFormatter
|
||||||
from dotenv import load_dotenv
|
from dotenv import load_dotenv
|
||||||
|
|
||||||
# 加载 .env 文件(Docker 环境跳过,直接使用容器环境变量)
|
# 加载 .env 文件(Docker 环境跳过,直接使用容器环境变量)
|
||||||
@@ -80,10 +81,14 @@ SLOW_REQUEST_THRESHOLD = float(os.getenv("SLOW_REQUEST_THRESHOLD", "3.0"))
|
|||||||
|
|
||||||
def setup_file_logging():
|
def setup_file_logging():
|
||||||
"""配置应用日志按天轮转输出到文件"""
|
"""配置应用日志按天轮转输出到文件"""
|
||||||
log_format = logging.Formatter(
|
use_json = os.getenv("AIFLOW_JSON_LOGS", "0") == "1"
|
||||||
"%(asctime)s [%(levelname)s] %(name)s - %(message)s",
|
if use_json:
|
||||||
datefmt="%Y-%m-%d %H:%M:%S",
|
log_format = JsonFormatter()
|
||||||
)
|
else:
|
||||||
|
log_format = logging.Formatter(
|
||||||
|
"%(asctime)s [%(levelname)s] %(name)s [tid:%(trace_id)s] - %(message)s",
|
||||||
|
datefmt="%Y-%m-%d %H:%M:%S",
|
||||||
|
)
|
||||||
|
|
||||||
# 应用日志 - 按天轮转,保留30天
|
# 应用日志 - 按天轮转,保留30天
|
||||||
app_handler = TimedRotatingFileHandler(
|
app_handler = TimedRotatingFileHandler(
|
||||||
@@ -123,10 +128,12 @@ def setup_file_logging():
|
|||||||
root_logger.setLevel(logging.INFO)
|
root_logger.setLevel(logging.INFO)
|
||||||
root_logger.addHandler(app_handler)
|
root_logger.addHandler(app_handler)
|
||||||
root_logger.addHandler(error_handler)
|
root_logger.addHandler(error_handler)
|
||||||
|
root_logger.addFilter(TraceIdFilter())
|
||||||
|
|
||||||
# 配置访问日志专用logger
|
# 配置访问日志专用logger
|
||||||
access_logger = logging.getLogger("aiflow.access")
|
access_logger = logging.getLogger("aiflow.access")
|
||||||
access_logger.addHandler(access_handler)
|
access_logger.addHandler(access_handler)
|
||||||
access_logger.propagate = False
|
access_logger.propagate = False
|
||||||
|
access_logger.addFilter(TraceIdFilter())
|
||||||
|
|
||||||
return access_logger
|
return access_logger
|
||||||
@@ -0,0 +1 @@
|
|||||||
|
# app/core package - 统一可观测基座 (Phase 2.1)
|
||||||
@@ -0,0 +1,174 @@
|
|||||||
|
"""
|
||||||
|
Qihu-AIFlow 统一可观测基座 (Phase 2.1)
|
||||||
|
=====================================
|
||||||
|
提供贯穿一次请求的全局链路 ID(trace_id)与结构化日志能力,
|
||||||
|
为后续重构(上下文引擎、媒体/LLM 成本归因)建立回归基线。
|
||||||
|
|
||||||
|
设计原则(Strangler Fig 增量):
|
||||||
|
- 纯增量埋点,不改任何既有接口的返回结构。
|
||||||
|
- 向后兼容现有 `logging.getLogger(__name__)` 用法:trace_id 由 root logger 的
|
||||||
|
TraceIdFilter 自动注入,调用方无需改动。
|
||||||
|
- 不引入第三方依赖(structlog 未安装),自带可选的 JSON formatter。
|
||||||
|
|
||||||
|
使用方式:
|
||||||
|
from app.core.observability import set_trace_id, get_trace_id, span
|
||||||
|
|
||||||
|
# 在中间件里为每个请求注入:
|
||||||
|
set_trace_id(request_id)
|
||||||
|
|
||||||
|
# 在关键调用处打计时 span(自动带 trace_id):
|
||||||
|
async with span("chat.send_message", conv_id=conv_id):
|
||||||
|
return await _send_message_core(...)
|
||||||
|
"""
|
||||||
|
import logging
|
||||||
|
import time
|
||||||
|
import uuid
|
||||||
|
import json
|
||||||
|
from contextvars import ContextVar
|
||||||
|
|
||||||
|
# ---------------------------------------------------------------------------
|
||||||
|
# trace_id:贯穿一次请求(含其内所有子调用/协程)的全局链路 ID
|
||||||
|
# ---------------------------------------------------------------------------
|
||||||
|
_trace_id_var: ContextVar[str] = ContextVar("aiflow_trace_id", default="-")
|
||||||
|
|
||||||
|
|
||||||
|
def new_trace_id() -> str:
|
||||||
|
"""生成一个崭新的链路 ID(32 位 hex)。"""
|
||||||
|
return uuid.uuid4().hex
|
||||||
|
|
||||||
|
|
||||||
|
def set_trace_id(tid: str | None = None) -> str:
|
||||||
|
"""设置当前上下文的 trace_id;不传则自动生成。返回最终使用的 ID。"""
|
||||||
|
tid = tid or new_trace_id()
|
||||||
|
_trace_id_var.set(tid)
|
||||||
|
return tid
|
||||||
|
|
||||||
|
|
||||||
|
def get_trace_id() -> str:
|
||||||
|
"""读取当前上下文的 trace_id;未设置时返回占位 '-'。"""
|
||||||
|
return _trace_id_var.get()
|
||||||
|
|
||||||
|
|
||||||
|
class TraceIdFilter(logging.Filter):
|
||||||
|
"""为每一条日志记录注入 trace_id 属性(不存在则写为 '-')。
|
||||||
|
|
||||||
|
挂载到 root logger 后,所有 `getLogger(__name__)` 的子 logger 都会继承,
|
||||||
|
从而让全平台既有日志自动带上链路 ID,零侵入。
|
||||||
|
"""
|
||||||
|
|
||||||
|
def filter(self, record: logging.LogRecord) -> bool:
|
||||||
|
if not hasattr(record, "trace_id"):
|
||||||
|
try:
|
||||||
|
record.trace_id = get_trace_id()
|
||||||
|
except Exception:
|
||||||
|
record.trace_id = "-"
|
||||||
|
return True
|
||||||
|
|
||||||
|
|
||||||
|
# 标准 logging 字段,JSON 序列化时需排除,避免与自定义 extra 冲突
|
||||||
|
_STD_ATTRS = set(logging.makeLogRecord({}).__dict__.keys()) | {
|
||||||
|
"message", "asctime", "msg", "trace_id", "exc_info", "stack_info", "args",
|
||||||
|
}
|
||||||
|
|
||||||
|
|
||||||
|
class JsonFormatter(logging.Formatter):
|
||||||
|
"""结构化 JSON 日志格式(通过环境变量 AIFLOW_JSON_LOGS=1 启用)。
|
||||||
|
|
||||||
|
默认不启用,避免破坏现有日志采集/人工查阅习惯。
|
||||||
|
"""
|
||||||
|
|
||||||
|
def format(self, record: logging.LogRecord) -> str:
|
||||||
|
data = {
|
||||||
|
"ts": self.formatTime(record, "%Y-%m-%dT%H:%M:%S%z"),
|
||||||
|
"level": record.levelname,
|
||||||
|
"logger": record.name,
|
||||||
|
"trace_id": getattr(record, "trace_id", "-"),
|
||||||
|
"msg": record.getMessage(),
|
||||||
|
}
|
||||||
|
for k, v in record.__dict__.items():
|
||||||
|
if k not in _STD_ATTRS:
|
||||||
|
try:
|
||||||
|
json.dumps(v, ensure_ascii=False)
|
||||||
|
data[k] = v
|
||||||
|
except (TypeError, ValueError):
|
||||||
|
data[k] = str(v)
|
||||||
|
if record.exc_info:
|
||||||
|
data["exc"] = self.formatException(record.exc_info)
|
||||||
|
return json.dumps(data, ensure_ascii=False)
|
||||||
|
|
||||||
|
|
||||||
|
def get_logger(name: str | None = None) -> logging.Logger:
|
||||||
|
"""获取 logger(向后兼容现有用法)。trace_id 由 root filter 自动注入。"""
|
||||||
|
return logging.getLogger(name)
|
||||||
|
|
||||||
|
|
||||||
|
# ---------------------------------------------------------------------------
|
||||||
|
# span:结构化计时上下文管理器(耗时 + trace_id + 自定义字段)
|
||||||
|
# ---------------------------------------------------------------------------
|
||||||
|
class _Span:
|
||||||
|
"""同步/异步通用的计时 span。退出时记录 elapsed_ms 与状态。"""
|
||||||
|
|
||||||
|
def __init__(self, name: str, **fields):
|
||||||
|
self.name = name
|
||||||
|
self.fields = fields
|
||||||
|
self._logger = logging.getLogger("aiflow.span")
|
||||||
|
self._start = None
|
||||||
|
self.elapsed_ms = 0.0
|
||||||
|
|
||||||
|
def _enter(self):
|
||||||
|
self._start = time.perf_counter()
|
||||||
|
self._logger.info(
|
||||||
|
f"SPAN_START {self.name}",
|
||||||
|
extra={"span": self.name, "event": "start", "trace_id": get_trace_id(), **self.fields},
|
||||||
|
)
|
||||||
|
return self
|
||||||
|
|
||||||
|
def _exit(self, exc_type, exc, tb):
|
||||||
|
self.elapsed_ms = (time.perf_counter() - self._start) * 1000
|
||||||
|
status = "error" if exc_type else "ok"
|
||||||
|
self._logger.info(
|
||||||
|
f"SPAN_END {self.name} {self.elapsed_ms:.1f}ms",
|
||||||
|
extra={
|
||||||
|
"span": self.name,
|
||||||
|
"event": "end",
|
||||||
|
"elapsed_ms": round(self.elapsed_ms, 1),
|
||||||
|
"status": status,
|
||||||
|
"trace_id": get_trace_id(),
|
||||||
|
**self.fields,
|
||||||
|
},
|
||||||
|
)
|
||||||
|
return False # 不吞掉异常
|
||||||
|
|
||||||
|
# 同步协议
|
||||||
|
def __enter__(self):
|
||||||
|
return self._enter()
|
||||||
|
|
||||||
|
def __exit__(self, exc_type, exc, tb):
|
||||||
|
return self._exit(exc_type, exc, tb)
|
||||||
|
|
||||||
|
# 异步协议
|
||||||
|
async def __aenter__(self):
|
||||||
|
return self._enter()
|
||||||
|
|
||||||
|
async def __aexit__(self, exc_type, exc, tb):
|
||||||
|
return self._exit(exc_type, exc, tb)
|
||||||
|
|
||||||
|
|
||||||
|
def span(name: str, **fields):
|
||||||
|
"""创建一个计时 span。可同步或异步 with。
|
||||||
|
|
||||||
|
async with span("chat.send_message", conv_id=cid):
|
||||||
|
...
|
||||||
|
"""
|
||||||
|
return _Span(name, **fields)
|
||||||
|
|
||||||
|
|
||||||
|
__all__ = [
|
||||||
|
"new_trace_id",
|
||||||
|
"set_trace_id",
|
||||||
|
"get_trace_id",
|
||||||
|
"TraceIdFilter",
|
||||||
|
"JsonFormatter",
|
||||||
|
"get_logger",
|
||||||
|
"span",
|
||||||
|
]
|
||||||
@@ -57,7 +57,7 @@ class LogService:
|
|||||||
app_id: str = None, app_name: str = None,
|
app_id: str = None, app_name: str = None,
|
||||||
conversation_id: str = None, prompt_tokens: int = 0,
|
conversation_id: str = None, prompt_tokens: int = 0,
|
||||||
completion_tokens: int = 0, total_tokens: int = 0,
|
completion_tokens: int = 0, total_tokens: int = 0,
|
||||||
cost: float = 0):
|
cost: float = 0, trace_id: str = None):
|
||||||
"""记录Token消耗日志"""
|
"""记录Token消耗日志"""
|
||||||
db = SessionLocal()
|
db = SessionLocal()
|
||||||
try:
|
try:
|
||||||
@@ -73,6 +73,7 @@ class LogService:
|
|||||||
completion_tokens=completion_tokens,
|
completion_tokens=completion_tokens,
|
||||||
total_tokens=total_tokens,
|
total_tokens=total_tokens,
|
||||||
cost=cost,
|
cost=cost,
|
||||||
|
trace_id=trace_id,
|
||||||
)
|
)
|
||||||
db.add(log)
|
db.add(log)
|
||||||
db.commit()
|
db.commit()
|
||||||
|
|||||||
+1136
-1126
File diff suppressed because it is too large.
Load diff
+250
-246
@@ -1,246 +1,250 @@
|
|||||||
"""
|
"""
|
||||||
Qihu-AIFlow FastAPI 主应用
|
Qihu-AIFlow FastAPI 主应用
|
||||||
完整后端API,监听18080端口,所有接口以 /app 为前缀
|
完整后端API,监听18080端口,所有接口以 /app 为前缀
|
||||||
"""
|
"""
|
||||||
import sys
|
import sys
|
||||||
import os
|
import os
|
||||||
import time
|
import time
|
||||||
import uuid
|
import uuid
|
||||||
import logging
|
import logging
|
||||||
from contextlib import asynccontextmanager
|
from contextlib import asynccontextmanager
|
||||||
from fastapi import FastAPI, Request
|
from fastapi import FastAPI, Request
|
||||||
from fastapi.middleware.cors import CORSMiddleware
|
from fastapi.middleware.cors import CORSMiddleware
|
||||||
from starlette.middleware.base import BaseHTTPMiddleware
|
from starlette.middleware.base import BaseHTTPMiddleware
|
||||||
from datetime import datetime
|
from datetime import datetime
|
||||||
|
|
||||||
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
|
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
|
||||||
|
|
||||||
from app.api import auth, chat, knowledge, market, token_usage, payment, profile, notifications, assets, evolution
|
from app.api import auth, chat, knowledge, market, token_usage, payment, profile, notifications, assets, evolution
|
||||||
from app.casdoor_auth import router as casdoor_router
|
from app.casdoor_auth import router as casdoor_router
|
||||||
from app.api.admin import dashboard, users, models, settings, payment_admin, services, membership_admin, ads, market_admin, logs, skills_admin, agents_admin, knowledge_admin, workflow_admin, storage_admin, automation_admin, mcp_admin, developer_admin, apps_admin, distro_admin, code_exec_admin, privacy_admin, im_bot_admin, promotion_admin, achievement_admin, tenant_admin, billing_admin, analytics_admin
|
from app.api.admin import dashboard, users, models, settings, payment_admin, services, membership_admin, ads, market_admin, logs, skills_admin, agents_admin, knowledge_admin, workflow_admin, storage_admin, automation_admin, mcp_admin, developer_admin, apps_admin, distro_admin, code_exec_admin, privacy_admin, im_bot_admin, promotion_admin, achievement_admin, tenant_admin, billing_admin, analytics_admin, observability_admin
|
||||||
from app.api.im_bot_user import router as im_bot_user_router
|
from app.api.im_bot_user import router as im_bot_user_router
|
||||||
from app.api.im_bot_platform import router as im_bot_platform_router
|
from app.api.im_bot_platform import router as im_bot_platform_router
|
||||||
from app.api.portal import user_portal
|
from app.api.portal import user_portal
|
||||||
from app.api.admin.developer_tools_admin import router as developer_tools_router
|
from app.api.admin.developer_tools_admin import router as developer_tools_router
|
||||||
from app.api.admin.mcp_market_admin import router as mcp_market_router
|
from app.api.admin.mcp_market_admin import router as mcp_market_router
|
||||||
from app.api.admin import asset_admin, achievement_admin
|
from app.api.admin import asset_admin, achievement_admin
|
||||||
from app.config import setup_file_logging, SLOW_REQUEST_THRESHOLD
|
from app.config import setup_file_logging, SLOW_REQUEST_THRESHOLD
|
||||||
from app.database import SessionLocal
|
from app.core.observability import set_trace_id
|
||||||
from app.models import OperationLog as OperationLogModel, TokenUsageLog as TokenUsageLogModel
|
from app.database import SessionLocal
|
||||||
|
from app.models import OperationLog as OperationLogModel, TokenUsageLog as TokenUsageLogModel
|
||||||
# 导入平台适配器触发注册(AstrBot借鉴优化方案 P1)
|
|
||||||
import app.platform_adapters # noqa: F401 - 触发所有平台适配器装饰器注册
|
# 导入平台适配器触发注册(AstrBot借鉴优化方案 P1)
|
||||||
|
import app.platform_adapters # noqa: F401 - 触发所有平台适配器装饰器注册
|
||||||
# 初始化文件日志(按天轮转)
|
|
||||||
access_logger = setup_file_logging()
|
# 初始化文件日志(按天轮转)
|
||||||
logger = logging.getLogger("aiflow")
|
access_logger = setup_file_logging()
|
||||||
|
logger = logging.getLogger("aiflow")
|
||||||
|
|
||||||
class APITrackingMiddleware(BaseHTTPMiddleware):
|
|
||||||
"""API调用统计中间件 - 记录请求耗时,标记慢请求"""
|
class APITrackingMiddleware(BaseHTTPMiddleware):
|
||||||
|
"""API调用统计中间件 - 记录请求耗时,标记慢请求"""
|
||||||
async def dispatch(self, request: Request, call_next):
|
|
||||||
request_id = str(uuid.uuid4())
|
async def dispatch(self, request: Request, call_next):
|
||||||
start_time = time.time()
|
request_id = str(uuid.uuid4())
|
||||||
path = request.url.path
|
set_trace_id(request_id)
|
||||||
method = request.method
|
start_time = time.time()
|
||||||
|
path = request.url.path
|
||||||
# 跳过健康检查和静态资源
|
method = request.method
|
||||||
skip_paths = ["/app/api/health", "/favicon.ico"]
|
|
||||||
should_skip = any(path.startswith(p) for p in skip_paths)
|
# 跳过健康检查和静态资源
|
||||||
|
skip_paths = ["/app/api/health", "/favicon.ico"]
|
||||||
try:
|
should_skip = any(path.startswith(p) for p in skip_paths)
|
||||||
response = await call_next(request)
|
|
||||||
elapsed = time.time() - start_time
|
try:
|
||||||
status_code = response.status_code
|
response = await call_next(request)
|
||||||
|
elapsed = time.time() - start_time
|
||||||
if not should_skip:
|
status_code = response.status_code
|
||||||
access_logger.info(
|
response.headers["X-Trace-Id"] = request_id
|
||||||
f"[{request_id}] {method} {path} -> {status_code} ({elapsed:.3f}s)"
|
|
||||||
)
|
if not should_skip:
|
||||||
|
access_logger.info(
|
||||||
# 异步记录API调用统计
|
f"[{request_id}] {method} {path} -> {status_code} ({elapsed:.3f}s)"
|
||||||
try:
|
)
|
||||||
db = SessionLocal()
|
|
||||||
try:
|
# 异步记录API调用统计
|
||||||
_record_api_call(db, method, path, status_code, elapsed)
|
try:
|
||||||
finally:
|
db = SessionLocal()
|
||||||
db.close()
|
try:
|
||||||
except Exception as e:
|
_record_api_call(db, method, path, status_code, elapsed)
|
||||||
logger.warning(f"API统计记录失败: {e}")
|
finally:
|
||||||
|
db.close()
|
||||||
return response
|
except Exception as e:
|
||||||
except Exception as e:
|
logger.warning(f"API统计记录失败: {e}")
|
||||||
elapsed = time.time() - start_time
|
|
||||||
if not should_skip:
|
return response
|
||||||
access_logger.info(
|
except Exception as e:
|
||||||
f"[{request_id}] {method} {path} -> ERROR ({elapsed:.3f}s): {str(e)}"
|
elapsed = time.time() - start_time
|
||||||
)
|
if not should_skip:
|
||||||
raise
|
access_logger.info(
|
||||||
|
f"[{request_id}] {method} {path} -> ERROR ({elapsed:.3f}s): {str(e)}"
|
||||||
async def __call__(self, scope, receive, send):
|
)
|
||||||
if scope["type"] != "http":
|
raise
|
||||||
await self.app(scope, receive, send)
|
|
||||||
return
|
async def __call__(self, scope, receive, send):
|
||||||
await super().__call__(scope, receive, send)
|
if scope["type"] != "http":
|
||||||
|
await self.app(scope, receive, send)
|
||||||
|
return
|
||||||
def _record_api_call(db, method: str, path: str, status_code: int, elapsed: float):
|
await super().__call__(scope, receive, send)
|
||||||
"""记录API调用到数据库统计表"""
|
|
||||||
# 简化路径以减少基数(去掉动态ID)
|
|
||||||
parts = path.split("/")
|
def _record_api_call(db, method: str, path: str, status_code: int, elapsed: float):
|
||||||
simplified_parts = []
|
"""记录API调用到数据库统计表"""
|
||||||
for part in parts:
|
# 简化路径以减少基数(去掉动态ID)
|
||||||
# 将UUID样式的路径段替换为{id}
|
parts = path.split("/")
|
||||||
if len(part) == 36 and part.count("-") == 4:
|
simplified_parts = []
|
||||||
simplified_parts.append("{id}")
|
for part in parts:
|
||||||
# 将纯数字路径段替换为{id}
|
# 将UUID样式的路径段替换为{id}
|
||||||
elif part.isdigit():
|
if len(part) == 36 and part.count("-") == 4:
|
||||||
simplified_parts.append("{id}")
|
simplified_parts.append("{id}")
|
||||||
else:
|
# 将纯数字路径段替换为{id}
|
||||||
simplified_parts.append(part)
|
elif part.isdigit():
|
||||||
simplified_path = "/".join(simplified_parts)
|
simplified_parts.append("{id}")
|
||||||
|
else:
|
||||||
# 统计记录通过数据库实现,简化版记录到日志
|
simplified_parts.append(part)
|
||||||
is_error = status_code >= 400
|
simplified_path = "/".join(simplified_parts)
|
||||||
is_slow = elapsed >= SLOW_REQUEST_THRESHOLD
|
|
||||||
|
# 统计记录通过数据库实现,简化版记录到日志
|
||||||
if is_slow:
|
is_error = status_code >= 400
|
||||||
logger.warning(
|
is_slow = elapsed >= SLOW_REQUEST_THRESHOLD
|
||||||
f"慢请求: {method} {simplified_path} -> {status_code} ({elapsed:.3f}s, 阈值: {SLOW_REQUEST_THRESHOLD}s)"
|
|
||||||
)
|
if is_slow:
|
||||||
|
logger.warning(
|
||||||
|
f"慢请求: {method} {simplified_path} -> {status_code} ({elapsed:.3f}s, 阈值: {SLOW_REQUEST_THRESHOLD}s)"
|
||||||
@asynccontextmanager
|
)
|
||||||
async def lifespan(app: FastAPI):
|
|
||||||
logger.info("Qihu-AIFlow v2.0.0 启动中...")
|
|
||||||
|
@asynccontextmanager
|
||||||
# 启动后台 Evolution Pipeline(知识库图谱已存在的用户配置自动恢复运行)
|
async def lifespan(app: FastAPI):
|
||||||
try:
|
logger.info("Qihu-AIFlow v2.0.0 启动中...")
|
||||||
from app.services.evolution_service import EvolutionWatcherManager
|
|
||||||
from app.models import UserEvolutionConfig
|
# 启动后台 Evolution Pipeline(知识库图谱已存在的用户配置自动恢复运行)
|
||||||
db = SessionLocal()
|
try:
|
||||||
try:
|
from app.services.evolution_service import EvolutionWatcherManager
|
||||||
configs = db.query(UserEvolutionConfig).filter(
|
from app.models import UserEvolutionConfig
|
||||||
UserEvolutionConfig.watcher_status == "running"
|
db = SessionLocal()
|
||||||
).all()
|
try:
|
||||||
if configs:
|
configs = db.query(UserEvolutionConfig).filter(
|
||||||
watcher = EvolutionWatcherManager()
|
UserEvolutionConfig.watcher_status == "running"
|
||||||
for cfg in configs:
|
).all()
|
||||||
try:
|
if configs:
|
||||||
watcher.start_user_evolution(cfg.user_id, lambda: SessionLocal())
|
watcher = EvolutionWatcherManager()
|
||||||
logger.info(f"[Evolution] 恢复用户 {cfg.user_id} 的进化Pipeline")
|
for cfg in configs:
|
||||||
except Exception as e:
|
try:
|
||||||
logger.warning(f"[Evolution] 恢复用户 {cfg.user_id} 失败: {e}")
|
watcher.start_user_evolution(cfg.user_id, lambda: SessionLocal())
|
||||||
logger.info(f"[Evolution] 已恢复 {len(configs)} 个用户的进化Pipeline")
|
logger.info(f"[Evolution] 恢复用户 {cfg.user_id} 的进化Pipeline")
|
||||||
else:
|
except Exception as e:
|
||||||
logger.info("[Evolution] 无待恢复的进化配置")
|
logger.warning(f"[Evolution] 恢复用户 {cfg.user_id} 失败: {e}")
|
||||||
finally:
|
logger.info(f"[Evolution] 已恢复 {len(configs)} 个用户的进化Pipeline")
|
||||||
db.close()
|
else:
|
||||||
except Exception as e:
|
logger.info("[Evolution] 无待恢复的进化配置")
|
||||||
logger.warning(f"[Evolution] Pipeline自动启动异常(不影响正常服务): {e}")
|
finally:
|
||||||
|
db.close()
|
||||||
# 启动Redis事件总线
|
except Exception as e:
|
||||||
try:
|
logger.warning(f"[Evolution] Pipeline自动启动异常(不影响正常服务): {e}")
|
||||||
from app.event_bus import get_event_bus
|
|
||||||
event_bus = get_event_bus()
|
# 启动Redis事件总线
|
||||||
event_bus.start(num_consumers=2)
|
try:
|
||||||
logger.info("[EventBus] Redis事件总线已启动")
|
from app.event_bus import get_event_bus
|
||||||
except Exception as e:
|
event_bus = get_event_bus()
|
||||||
logger.warning(f"[EventBus] 启动失败(不影响正常服务): {e}")
|
event_bus.start(num_consumers=2)
|
||||||
|
logger.info("[EventBus] Redis事件总线已启动")
|
||||||
logger.info("Qihu-AIFlow v2.0.0 启动完成")
|
except Exception as e:
|
||||||
|
logger.warning(f"[EventBus] 启动失败(不影响正常服务): {e}")
|
||||||
yield
|
|
||||||
|
logger.info("Qihu-AIFlow v2.0.0 启动完成")
|
||||||
# 停止Redis事件总线
|
|
||||||
try:
|
yield
|
||||||
from app.event_bus import get_event_bus
|
|
||||||
get_event_bus().stop()
|
# 停止Redis事件总线
|
||||||
logger.info("[EventBus] Redis事件总线已停止")
|
try:
|
||||||
except Exception:
|
from app.event_bus import get_event_bus
|
||||||
pass
|
get_event_bus().stop()
|
||||||
|
logger.info("[EventBus] Redis事件总线已停止")
|
||||||
# 优雅关闭:停止所有 Evolution Pipeline
|
except Exception:
|
||||||
try:
|
pass
|
||||||
from app.services.evolution_service import EvolutionWatcherManager
|
|
||||||
EvolutionWatcherManager().shutdown_all()
|
# 优雅关闭:停止所有 Evolution Pipeline
|
||||||
logger.info("[Evolution] 所有Pipeline已停止")
|
try:
|
||||||
except Exception:
|
from app.services.evolution_service import EvolutionWatcherManager
|
||||||
pass
|
EvolutionWatcherManager().shutdown_all()
|
||||||
|
logger.info("[Evolution] 所有Pipeline已停止")
|
||||||
logger.info("Qihu-AIFlow 正在关闭...")
|
except Exception:
|
||||||
|
pass
|
||||||
|
|
||||||
app = FastAPI(
|
logger.info("Qihu-AIFlow 正在关闭...")
|
||||||
title="Qihu-AIFlow - 智能自动化PaaS平台",
|
|
||||||
version="1.0.0",
|
|
||||||
lifespan=lifespan,
|
app = FastAPI(
|
||||||
)
|
title="Qihu-AIFlow - 智能自动化PaaS平台",
|
||||||
|
version="1.0.0",
|
||||||
# API调用追踪中间件
|
lifespan=lifespan,
|
||||||
app.add_middleware(APITrackingMiddleware)
|
)
|
||||||
|
|
||||||
# CORS配置
|
# API调用追踪中间件
|
||||||
app.add_middleware(
|
app.add_middleware(APITrackingMiddleware)
|
||||||
CORSMiddleware,
|
|
||||||
allow_origins=["*"],
|
# CORS配置
|
||||||
allow_credentials=True,
|
app.add_middleware(
|
||||||
allow_methods=["*"],
|
CORSMiddleware,
|
||||||
allow_headers=["*"],
|
allow_origins=["*"],
|
||||||
)
|
allow_credentials=True,
|
||||||
|
allow_methods=["*"],
|
||||||
# 前台 API
|
allow_headers=["*"],
|
||||||
app.include_router(auth.router, prefix="/app/api/auth", tags=["认证"])
|
)
|
||||||
app.include_router(chat.router, prefix="/app/api/chat", tags=["AI聊天"])
|
|
||||||
app.include_router(knowledge.router, prefix="/app/api/knowledge", tags=["知识库"])
|
# 前台 API
|
||||||
app.include_router(market.router, prefix="/app/api/market", tags=["应用市场"])
|
app.include_router(auth.router, prefix="/app/api/auth", tags=["认证"])
|
||||||
app.include_router(token_usage.router, prefix="/app/api/token", tags=["Token驾驶舱"])
|
app.include_router(chat.router, prefix="/app/api/chat", tags=["AI聊天"])
|
||||||
app.include_router(payment.router, prefix="/app/api/payment", tags=["付费中心"])
|
app.include_router(knowledge.router, prefix="/app/api/knowledge", tags=["知识库"])
|
||||||
app.include_router(profile.router, prefix="/app/api/profile", tags=["个人中心"])
|
app.include_router(market.router, prefix="/app/api/market", tags=["应用市场"])
|
||||||
app.include_router(notifications.router, prefix="/app/api/notifications", tags=["消息通知"])
|
app.include_router(token_usage.router, prefix="/app/api/token", tags=["Token驾驶舱"])
|
||||||
app.include_router(assets.router, prefix="/app/api/assets", tags=["资产管理"])
|
app.include_router(payment.router, prefix="/app/api/payment", tags=["付费中心"])
|
||||||
app.include_router(evolution.router, prefix="/app/api/evolution", tags=["AI自进化"])
|
app.include_router(profile.router, prefix="/app/api/profile", tags=["个人中心"])
|
||||||
|
app.include_router(notifications.router, prefix="/app/api/notifications", tags=["消息通知"])
|
||||||
# 后台 API
|
app.include_router(assets.router, prefix="/app/api/assets", tags=["资产管理"])
|
||||||
app.include_router(dashboard.router, prefix="/app/api/admin/dashboard", tags=["后台-仪表盘"])
|
app.include_router(evolution.router, prefix="/app/api/evolution", tags=["AI自进化"])
|
||||||
app.include_router(users.router, prefix="/app/api/admin/users", tags=["后台-用户管理"])
|
|
||||||
app.include_router(models.router, prefix="/app/api/admin/models", tags=["后台-模型管理"])
|
# 后台 API
|
||||||
app.include_router(settings.router, prefix="/app/api/admin/settings", tags=["后台-网站设置"])
|
app.include_router(dashboard.router, prefix="/app/api/admin/dashboard", tags=["后台-仪表盘"])
|
||||||
app.include_router(payment_admin.router, prefix="/app/api/admin/payment", tags=["后台-支付配置"])
|
app.include_router(users.router, prefix="/app/api/admin/users", tags=["后台-用户管理"])
|
||||||
app.include_router(services.router, prefix="/app/api/admin/services", tags=["后台-增值服务"])
|
app.include_router(models.router, prefix="/app/api/admin/models", tags=["后台-模型管理"])
|
||||||
app.include_router(membership_admin.router, prefix="/app/api/admin/membership", tags=["后台-会员管理"])
|
app.include_router(settings.router, prefix="/app/api/admin/settings", tags=["后台-网站设置"])
|
||||||
app.include_router(ads.router, prefix="/app/api/admin/ads", tags=["后台-广告管理"])
|
app.include_router(payment_admin.router, prefix="/app/api/admin/payment", tags=["后台-支付配置"])
|
||||||
app.include_router(market_admin.router, prefix="/app/api/admin/market", tags=["后台-应用审核"])
|
app.include_router(services.router, prefix="/app/api/admin/services", tags=["后台-增值服务"])
|
||||||
app.include_router(logs.router, prefix="/app/api/admin/logs", tags=["后台-日志风控"])
|
app.include_router(membership_admin.router, prefix="/app/api/admin/membership", tags=["后台-会员管理"])
|
||||||
|
app.include_router(ads.router, prefix="/app/api/admin/ads", tags=["后台-广告管理"])
|
||||||
app.include_router(skills_admin.router, prefix="/app/api/admin/skills", tags=["后台-技能管理"])
|
app.include_router(market_admin.router, prefix="/app/api/admin/market", tags=["后台-应用审核"])
|
||||||
app.include_router(agents_admin.router, prefix="/app/api/admin/agents", tags=["后台-Agent管理"])
|
app.include_router(logs.router, prefix="/app/api/admin/logs", tags=["后台-日志风控"])
|
||||||
app.include_router(knowledge_admin.router, prefix="/app/api/admin/knowledge", tags=["后台-知识库管理"])
|
|
||||||
app.include_router(workflow_admin.router, prefix="/app/api/admin/workflows", tags=["后台-工作流编排"])
|
app.include_router(skills_admin.router, prefix="/app/api/admin/skills", tags=["后台-技能管理"])
|
||||||
app.include_router(asset_admin.router, prefix="/app/api/admin/assets", tags=["后台-资产管理"])
|
app.include_router(agents_admin.router, prefix="/app/api/admin/agents", tags=["后台-Agent管理"])
|
||||||
app.include_router(storage_admin.router, prefix="/app/api/admin/storage", tags=["后台-存储配置"])
|
app.include_router(knowledge_admin.router, prefix="/app/api/admin/knowledge", tags=["后台-知识库管理"])
|
||||||
app.include_router(automation_admin.router, prefix="/app/api/admin/automation", tags=["后台-自动化任务"])
|
app.include_router(workflow_admin.router, prefix="/app/api/admin/workflows", tags=["后台-工作流编排"])
|
||||||
app.include_router(mcp_admin.router, prefix="/app/api/admin/mcp", tags=["后台-MCP服务"])
|
app.include_router(asset_admin.router, prefix="/app/api/admin/assets", tags=["后台-资产管理"])
|
||||||
app.include_router(developer_admin.router, prefix="/app/api/admin/developer", tags=["后台-开发者API"])
|
app.include_router(storage_admin.router, prefix="/app/api/admin/storage", tags=["后台-存储配置"])
|
||||||
app.include_router(developer_tools_router, prefix="/app/api/admin/developer-tools", tags=["dev-tools"])
|
app.include_router(automation_admin.router, prefix="/app/api/admin/automation", tags=["后台-自动化任务"])
|
||||||
app.include_router(apps_admin.router, prefix="/app/api/admin/apps", tags=["admin-ai-apps"])
|
app.include_router(mcp_admin.router, prefix="/app/api/admin/mcp", tags=["后台-MCP服务"])
|
||||||
app.include_router(mcp_market_router, prefix="/app/api/admin/mcp-market", tags=["mcp-market"])
|
app.include_router(developer_admin.router, prefix="/app/api/admin/developer", tags=["后台-开发者API"])
|
||||||
app.include_router(code_exec_admin.router, prefix="/app/api/admin/code-exec", tags=["code-exec"])
|
app.include_router(developer_tools_router, prefix="/app/api/admin/developer-tools", tags=["dev-tools"])
|
||||||
app.include_router(distro_admin.router, prefix="/app/api/admin/distributions", tags=["distributions"])
|
app.include_router(apps_admin.router, prefix="/app/api/admin/apps", tags=["admin-ai-apps"])
|
||||||
app.include_router(privacy_admin.router, prefix="/app/api/admin/privacy", tags=["privacy"])
|
app.include_router(mcp_market_router, prefix="/app/api/admin/mcp-market", tags=["mcp-market"])
|
||||||
app.include_router(im_bot_admin.router, prefix="/app/api/admin/im-bot", tags=["im-bot"])
|
app.include_router(code_exec_admin.router, prefix="/app/api/admin/code-exec", tags=["code-exec"])
|
||||||
app.include_router(im_bot_user_router, prefix="/app/api/im/wechat", tags=["im-wechat-user"])
|
app.include_router(distro_admin.router, prefix="/app/api/admin/distributions", tags=["distributions"])
|
||||||
app.include_router(im_bot_platform_router, prefix="/app/api/im/platform", tags=["im-platform-user"])
|
app.include_router(privacy_admin.router, prefix="/app/api/admin/privacy", tags=["privacy"])
|
||||||
app.include_router(promotion_admin.router, prefix="/app/api/admin/promotion", tags=["promotion"])
|
app.include_router(im_bot_admin.router, prefix="/app/api/admin/im-bot", tags=["im-bot"])
|
||||||
app.include_router(tenant_admin.router, prefix="/app/api/admin/tenant", tags=["tenant"])
|
app.include_router(im_bot_user_router, prefix="/app/api/im/wechat", tags=["im-wechat-user"])
|
||||||
app.include_router(billing_admin.router, prefix="/app/api/admin/billing", tags=["billing"])
|
app.include_router(im_bot_platform_router, prefix="/app/api/im/platform", tags=["im-platform-user"])
|
||||||
app.include_router(analytics_admin.router, prefix="/app/api/admin/analytics", tags=["analytics"])
|
app.include_router(promotion_admin.router, prefix="/app/api/admin/promotion", tags=["promotion"])
|
||||||
app.include_router(user_portal.router, prefix="/app/api/portal", tags=["portal"])
|
app.include_router(tenant_admin.router, prefix="/app/api/admin/tenant", tags=["tenant"])
|
||||||
app.include_router(achievement_admin.router, prefix="/app/api/admin/achievement", tags=["achievement"])
|
app.include_router(billing_admin.router, prefix="/app/api/admin/billing", tags=["billing"])
|
||||||
app.include_router(casdoor_router, prefix="/app/api/auth", tags=["Casdoor SSO"])
|
app.include_router(analytics_admin.router, prefix="/app/api/admin/analytics", tags=["analytics"])
|
||||||
|
app.include_router(observability_admin.router, prefix="/app/api/admin/observability", tags=["后台-调用可观测"])
|
||||||
|
app.include_router(user_portal.router, prefix="/app/api/portal", tags=["portal"])
|
||||||
@app.get("/app/api/health")
|
app.include_router(achievement_admin.router, prefix="/app/api/admin/achievement", tags=["achievement"])
|
||||||
async def health_check():
|
app.include_router(casdoor_router, prefix="/app/api/auth", tags=["Casdoor SSO"])
|
||||||
return {"status": "ok", "service": "Qihu-AIFlow"}
|
|
||||||
|
|
||||||
|
@app.get("/app/api/health")
|
||||||
|
async def health_check():
|
||||||
|
return {"status": "ok", "service": "Qihu-AIFlow"}
|
||||||
@@ -0,0 +1,114 @@
|
|||||||
|
"""Phase 2 context-engine regression: _build_chat_history budget/layering/summary.
|
||||||
|
|
||||||
|
Pure unit test with a fake DB session — no network, no real model. Guards the
|
||||||
|
layered-memory + compression + isolation behaviour against regressions.
|
||||||
|
"""
|
||||||
|
from app.api.chat_context import _estimate_tokens, _build_chat_history
|
||||||
|
|
||||||
|
|
||||||
|
class _Msg:
|
||||||
|
def __init__(self, role, content, cid="c1"):
|
||||||
|
self.role = role
|
||||||
|
self.content = content
|
||||||
|
self.conversation_id = cid
|
||||||
|
|
||||||
|
|
||||||
|
class _Summary:
|
||||||
|
def __init__(self, text):
|
||||||
|
self.summary_text = text
|
||||||
|
|
||||||
|
|
||||||
|
class _Query:
|
||||||
|
def __init__(self, rows):
|
||||||
|
self._rows = list(rows)
|
||||||
|
|
||||||
|
def filter(self, *a, **k):
|
||||||
|
return self
|
||||||
|
|
||||||
|
def order_by(self, *a, **k):
|
||||||
|
# test pre-sorts newest-first to match desc(created_at)
|
||||||
|
return self
|
||||||
|
|
||||||
|
def limit(self, n=None):
|
||||||
|
return self
|
||||||
|
|
||||||
|
def all(self):
|
||||||
|
return self._rows
|
||||||
|
|
||||||
|
def first(self):
|
||||||
|
return self._rows[0] if self._rows else None
|
||||||
|
|
||||||
|
|
||||||
|
class _DB:
|
||||||
|
def __init__(self, messages, summary=None):
|
||||||
|
self._messages = messages
|
||||||
|
self._summary = summary
|
||||||
|
|
||||||
|
def query(self, model):
|
||||||
|
if getattr(model, "__name__", "") == "ConversationSummary":
|
||||||
|
return _Query([self._summary] if self._summary else [])
|
||||||
|
return _Query(self._messages)
|
||||||
|
|
||||||
|
|
||||||
|
def _newest_first(msgs):
|
||||||
|
# _build_chat_history expects desc(created_at) -> newest first.
|
||||||
|
# Test authors write the list already newest-first, so return as-is.
|
||||||
|
return list(msgs)
|
||||||
|
|
||||||
|
|
||||||
|
def test_estimate_tokens():
|
||||||
|
assert _estimate_tokens("") == 0
|
||||||
|
assert _estimate_tokens(None) == 0
|
||||||
|
assert _estimate_tokens("abcd") == 2 # 4//2
|
||||||
|
assert _estimate_tokens("a" * 5) == 2 # max(1, 5//2)=2
|
||||||
|
# just ensure positive monotonic
|
||||||
|
assert _estimate_tokens("x" * 100) == 50
|
||||||
|
|
||||||
|
|
||||||
|
def test_history_excludes_latest_user():
|
||||||
|
# newest-first: [current user, prev assistant, older user]
|
||||||
|
msgs = _newest_first([
|
||||||
|
_Msg("user", "current question"),
|
||||||
|
_Msg("assistant", "previous answer"),
|
||||||
|
_Msg("user", "older question"),
|
||||||
|
])
|
||||||
|
db = _DB(msgs)
|
||||||
|
out = _build_chat_history(db, "c1", max_tokens=10000, exclude_latest_user=True)
|
||||||
|
roles = [m["role"] for m in out]
|
||||||
|
# current user dropped; chronological order = [older user, previous assistant]
|
||||||
|
assert roles == ["user", "assistant"]
|
||||||
|
assert out[0]["content"] == "older question"
|
||||||
|
|
||||||
|
|
||||||
|
def test_summary_injected_as_system_first():
|
||||||
|
msgs = _newest_first([
|
||||||
|
_Msg("user", "hi"),
|
||||||
|
_Msg("assistant", "hello"),
|
||||||
|
])
|
||||||
|
db = _DB(msgs, summary=_Summary("用户想做图片生成"))
|
||||||
|
out = _build_chat_history(db, "c1", max_tokens=10000, exclude_latest_user=True)
|
||||||
|
assert out[0]["role"] == "system"
|
||||||
|
assert out[0]["content"].startswith("【对话历史摘要")
|
||||||
|
assert "用户想做图片生成" in out[0]["content"]
|
||||||
|
# after summary: chronological history (assistant then user 'hi' excluded? exclude_latest_user drops 'hi')
|
||||||
|
assert out[1]["role"] == "assistant"
|
||||||
|
|
||||||
|
|
||||||
|
def test_budget_truncation():
|
||||||
|
# 5 assistant messages each ~200 tokens; budget small -> truncated
|
||||||
|
msgs = _newest_first([_Msg("assistant", "x" * 400) for _ in range(5)])
|
||||||
|
db = _DB(msgs)
|
||||||
|
out = _build_chat_history(db, "c1", max_tokens=500, exclude_latest_user=False)
|
||||||
|
# each msg ~200 tokens; budget 500 -> keep newest ~2
|
||||||
|
assert len(out) <= 3
|
||||||
|
total = sum(_estimate_tokens(m["content"]) for m in out)
|
||||||
|
assert total <= 500 + 200 # within budget (+1 msg slack)
|
||||||
|
|
||||||
|
|
||||||
|
def test_no_summary_when_absent():
|
||||||
|
msgs = _newest_first([_Msg("user", "hi"), _Msg("assistant", "hello")])
|
||||||
|
db = _DB(msgs)
|
||||||
|
out = _build_chat_history(db, "c1", max_tokens=10000, exclude_latest_user=True)
|
||||||
|
# 'hi' excluded; only assistant remains, no system summary
|
||||||
|
assert all(m["role"] != "system" for m in out)
|
||||||
|
assert [m["role"] for m in out] == ["assistant"]
|
||||||
@@ -1,40 +1,46 @@
|
|||||||
"""Phase 0 回归用例 R1/R2/R3 — 固化三个反复出现的问题。
|
"""Phase 1 回归用例 R1/R2/R3 — 固化三个反复出现的问题(适配 chat.py 拆分后)。
|
||||||
|
|
||||||
R1: 技能列表不得被硬性截断为 15 条(微信 Bot 曾只返回 15 个技能)。
|
R1: 技能列表不得被硬性截断为 15 条(微信 Bot 曾只返回 15 个技能)。
|
||||||
R2: 显式选中技能/MCP 时,system prompt 必须注入「最高优先级覆盖规则」。
|
R2: 显式选中技能/MCP 时,system prompt 必须注入「最高优先级覆盖规则」。
|
||||||
R3: 媒体生成(图像/视频)必须有超时保护,超时后回写用户可懂的提示而非永久挂起。
|
R3: 媒体生成(图像/视频)必须有超时保护,超时后回写用户可懂的提示而非永久挂起。
|
||||||
|
|
||||||
说明:在 chat.py 巨石(10070 行)尚未拆分前,R1/R2 采用「源码契约」守卫,
|
Phase 1 已将 chat.py 巨石拆分为 chat_{utils,media,agents,skill,mcp,context,knowledge,service}.py,
|
||||||
这是最低风险且能切实挡住回归的方式;R3 为行为级单元测试(mock 内部生成调用模拟超时)。
|
因此本文件采用「扫描整个 app/api 包」做源码契约守卫,并对行为级用例从正确的子模块导入。
|
||||||
Phase 1 抽出 chat_media / chat_mcp / chat_skill 干净 seam 后,R1/R2 应升级为行为测试。
|
|
||||||
"""
|
"""
|
||||||
import asyncio
|
import asyncio
|
||||||
import os
|
import os
|
||||||
|
import glob
|
||||||
from unittest.mock import MagicMock
|
from unittest.mock import MagicMock
|
||||||
|
|
||||||
import pytest
|
import pytest
|
||||||
|
|
||||||
_HERE = os.path.dirname(os.path.abspath(__file__))
|
_HERE = os.path.dirname(os.path.abspath(__file__))
|
||||||
CHAT_PY = os.path.abspath(os.path.join(_HERE, "..", "app", "api", "chat.py"))
|
API_DIR = os.path.abspath(os.path.join(_HERE, "..", "app", "api"))
|
||||||
|
|
||||||
|
|
||||||
def _read_chat_source():
|
def _read_api_package():
|
||||||
with open(CHAT_PY, "r", encoding="utf-8") as f:
|
parts = []
|
||||||
return f.read()
|
for p in sorted(glob.glob(os.path.join(API_DIR, "chat*.py"))):
|
||||||
|
with open(p, "r", encoding="utf-8") as f:
|
||||||
|
parts.append(f.read())
|
||||||
|
return "\n".join(parts)
|
||||||
|
|
||||||
|
|
||||||
# ---------- R1 ----------
|
# ---------- R1 ----------
|
||||||
def test_r1_skill_list_not_hard_capped_at_15():
|
def test_r1_skill_list_not_hard_capped_at_15():
|
||||||
"""微信 Bot 技能列表曾因 limit(15) 只返回 15 个,必须防止回归。"""
|
"""微信 Bot 技能列表曾因 limit(15) 只返回 15 个,必须防止回归。"""
|
||||||
src = _read_chat_source()
|
src = _read_api_package()
|
||||||
assert "limit(15)" not in src, "检测到 limit(15),技能列表可能被硬性截断"
|
assert "limit(15)" not in src, "检测到 limit(15),技能列表可能被硬性截断"
|
||||||
assert "LIMIT 15" not in src, "检测到 LIMIT 15,技能列表可能被硬性截断"
|
assert "LIMIT 15" not in src, "检测到 LIMIT 15,技能列表可能被硬性截断"
|
||||||
|
|
||||||
|
|
||||||
# ---------- R2 ----------
|
# ---------- R2 ----------
|
||||||
def test_r2_explicit_selection_override_rule_present():
|
def test_r2_explicit_selection_override_rule_present():
|
||||||
"""显式选中技能/MCP 时,system prompt 必须包含最高优先级覆盖规则。"""
|
"""显式选中技能/MCP 时,system prompt 必须包含最高优先级覆盖规则。
|
||||||
src = _read_chat_source()
|
|
||||||
|
注:_build_system_prompt 已随 Phase 1 拆分迁入 chat_context.py,故扫描整个 api 包。
|
||||||
|
"""
|
||||||
|
src = _read_api_package()
|
||||||
assert "最高优先级覆盖规则" in src, "显式选中工具的覆盖规则文本缺失"
|
assert "最高优先级覆盖规则" in src, "显式选中工具的覆盖规则文本缺失"
|
||||||
assert "只基于上文提供的该工具具体资料作答" in src, "覆盖规则应要求只基于已选工具资料作答"
|
assert "只基于上文提供的该工具具体资料作答" in src, "覆盖规则应要求只基于已选工具资料作答"
|
||||||
assert "平台知识库" in src and "不要引用" in src, "覆盖规则应明确禁止引用平台知识库通用描述"
|
assert "平台知识库" in src and "不要引用" in src, "覆盖规则应明确禁止引用平台知识库通用描述"
|
||||||
@@ -45,37 +51,36 @@ def test_r2_explicit_selection_override_rule_present():
|
|||||||
async def test_r3_media_generation_timeout_returns_user_message(monkeypatch):
|
async def test_r3_media_generation_timeout_returns_user_message(monkeypatch):
|
||||||
"""媒体生成超时必须回写用户可懂的超时提示,而非让前端永远『生成中…』。
|
"""媒体生成超时必须回写用户可懂的超时提示,而非让前端永远『生成中…』。
|
||||||
|
|
||||||
注:_generate_media_task 是后台 fire-and-forget 任务(通过 asyncio.create_task 调用),
|
_generate_media_task 位于 chat_media(经 _send_message_core 的 asyncio.create_task 调用),
|
||||||
本身返回 None,超时保护体现在把提示回写到消息 content。故此处断言副作用。
|
本身是 fire-and-forget、返回 None,超时保护体现在把提示回写到消息 content。
|
||||||
"""
|
"""
|
||||||
from app.api import chat as chat_mod
|
from app.api import chat_media as media_mod
|
||||||
|
|
||||||
class FakeModel:
|
class FakeModel:
|
||||||
id = "m_test"
|
id = "m_test"
|
||||||
capabilities = ["image"] # 图像 -> 90s 超时
|
capabilities = ["image"] # 图像 -> 90s 超时
|
||||||
|
|
||||||
msg_mock = MagicMock() # 捕获被回写的消息对象
|
msg_mock = MagicMock() # 捕获被回写的消息对象
|
||||||
|
|
||||||
fake_session = MagicMock()
|
fake_session = MagicMock()
|
||||||
|
|
||||||
def _query_side_effect(model_cls):
|
def _query_side_effect(model_cls):
|
||||||
q = MagicMock()
|
q = MagicMock()
|
||||||
if model_cls is chat_mod.AIModel:
|
if model_cls is media_mod.AIModel:
|
||||||
q.filter.return_value.first.return_value = FakeModel()
|
q.filter.return_value.first.return_value = FakeModel()
|
||||||
elif model_cls is chat_mod.Message:
|
elif model_cls is media_mod.Message:
|
||||||
q.filter.return_value.first.return_value = msg_mock
|
q.filter.return_value.first.return_value = msg_mock
|
||||||
return q
|
return q
|
||||||
|
|
||||||
fake_session.query.side_effect = _query_side_effect
|
fake_session.query.side_effect = _query_side_effect
|
||||||
monkeypatch.setattr(chat_mod, "SessionLocal", lambda: fake_session)
|
monkeypatch.setattr(media_mod, "SessionLocal", lambda: fake_session)
|
||||||
|
|
||||||
# 内部生成调用直接抛出 TimeoutError,等价模拟「生成耗时超过超时阈值」
|
# 内部生成调用直接抛出 TimeoutError,等价模拟「生成耗时超过超时阈值」
|
||||||
async def _hang(db, ai_model, prompt, user_id):
|
async def _hang(db, ai_model, prompt, user_id):
|
||||||
raise asyncio.TimeoutError()
|
raise asyncio.TimeoutError()
|
||||||
|
|
||||||
monkeypatch.setattr(chat_mod, "_generate_media", _hang)
|
monkeypatch.setattr(media_mod, "_generate_media", _hang)
|
||||||
|
|
||||||
await chat_mod._generate_media_task("msg1", "m_test", "画一只猫", "u1")
|
await media_mod._generate_media_task("msg1", "m_test", "画一只猫", "u1")
|
||||||
|
|
||||||
# 副作用:消息 content 被回写为用户可懂的超时提示
|
# 副作用:消息 content 被回写为用户可懂的超时提示
|
||||||
assert msg_mock.content is not None, "超时后必须回写消息内容,不能让前端永远『生成中…』"
|
assert msg_mock.content is not None, "超时后必须回写消息内容,不能让前端永远『生成中…』"
|
||||||
|
|||||||
+177
-175
@@ -1,175 +1,177 @@
|
|||||||
import React, { useState, useEffect, Suspense } from 'react';
|
import React, { useState, useEffect, Suspense } from 'react';
|
||||||
import { Routes, Route, Navigate } from 'react-router-dom';
|
import { Routes, Route, Navigate } from 'react-router-dom';
|
||||||
import type { User } from '@/types';
|
import type { User } from '@/types';
|
||||||
import { AuthContext, AuthContextType } from '@/contexts/AuthContext';
|
import { AuthContext, AuthContextType } from '@/contexts/AuthContext';
|
||||||
import { authAPI } from '@/api';
|
import { authAPI } from '@/api';
|
||||||
|
|
||||||
// Layouts(保留为即时加载,构成应用外壳)
|
// Layouts(保留为即时加载,构成应用外壳)
|
||||||
import FrontLayout from '@/components/layout/FrontLayout';
|
import FrontLayout from '@/components/layout/FrontLayout';
|
||||||
import AdminLayout from '@/components/layout/AdminLayout';
|
import AdminLayout from '@/components/layout/AdminLayout';
|
||||||
|
|
||||||
// 路由级代码分割:每个页面独立打包成 chunk,首屏只加载外壳与公共依赖,
|
// 路由级代码分割:每个页面独立打包成 chunk,首屏只加载外壳与公共依赖,
|
||||||
// 访问具体页面时才按需加载对应 chunk,显著加快首屏渲染与路由切换速度。
|
// 访问具体页面时才按需加载对应 chunk,显著加快首屏渲染与路由切换速度。
|
||||||
const LandingPage = React.lazy(() => import('@/pages/front/LandingPage'));
|
const LandingPage = React.lazy(() => import('@/pages/front/LandingPage'));
|
||||||
const LoginPage = React.lazy(() => import('@/pages/front/LoginPage'));
|
const LoginPage = React.lazy(() => import('@/pages/front/LoginPage'));
|
||||||
const ChatPage = React.lazy(() => import('@/pages/front/ChatPage'));
|
const ChatPage = React.lazy(() => import('@/pages/front/ChatPage'));
|
||||||
const KnowledgePage = React.lazy(() => import('@/pages/front/KnowledgePage'));
|
const KnowledgePage = React.lazy(() => import('@/pages/front/KnowledgePage'));
|
||||||
const MarketPage = React.lazy(() => import('@/pages/front/MarketPage'));
|
const MarketPage = React.lazy(() => import('@/pages/front/MarketPage'));
|
||||||
const TokenDashboardPage = React.lazy(() => import('@/pages/front/TokenDashboardPage'));
|
const TokenDashboardPage = React.lazy(() => import('@/pages/front/TokenDashboardPage'));
|
||||||
const PricingPage = React.lazy(() => import('@/pages/front/PricingPage'));
|
const PricingPage = React.lazy(() => import('@/pages/front/PricingPage'));
|
||||||
const ProfilePage = React.lazy(() => import('@/pages/front/ProfilePage'));
|
const ProfilePage = React.lazy(() => import('@/pages/front/ProfilePage'));
|
||||||
const NotificationPage = React.lazy(() => import('@/pages/front/NotificationPage'));
|
const NotificationPage = React.lazy(() => import('@/pages/front/NotificationPage'));
|
||||||
const AssetsPage = React.lazy(() => import('@/pages/front/AssetsPage'));
|
const AssetsPage = React.lazy(() => import('@/pages/front/AssetsPage'));
|
||||||
const NovelPreviewPage = React.lazy(() => import('@/pages/front/NovelPreviewPage'));
|
const NovelPreviewPage = React.lazy(() => import('@/pages/front/NovelPreviewPage'));
|
||||||
const EvolutionDashboard = React.lazy(() => import('@/pages/front/EvolutionDashboard'));
|
const EvolutionDashboard = React.lazy(() => import('@/pages/front/EvolutionDashboard'));
|
||||||
|
|
||||||
const AdminDashboard = React.lazy(() => import('@/pages/admin/Dashboard'));
|
const AdminDashboard = React.lazy(() => import('@/pages/admin/Dashboard'));
|
||||||
const AdminUsers = React.lazy(() => import('@/pages/admin/Users'));
|
const AdminUsers = React.lazy(() => import('@/pages/admin/Users'));
|
||||||
const AdminModels = React.lazy(() => import('@/pages/admin/Models'));
|
const AdminModels = React.lazy(() => import('@/pages/admin/Models'));
|
||||||
const AdminSiteSettings = React.lazy(() => import('@/pages/admin/SiteSettings'));
|
const AdminSiteSettings = React.lazy(() => import('@/pages/admin/SiteSettings'));
|
||||||
const AdminSmsConfig = React.lazy(() => import('@/pages/admin/SmsConfig'));
|
const AdminSmsConfig = React.lazy(() => import('@/pages/admin/SmsConfig'));
|
||||||
const AdminPayment = React.lazy(() => import('@/pages/admin/Payment'));
|
const AdminPayment = React.lazy(() => import('@/pages/admin/Payment'));
|
||||||
const AdminServices = React.lazy(() => import('@/pages/admin/Services'));
|
const AdminServices = React.lazy(() => import('@/pages/admin/Services'));
|
||||||
const AdminMembership = React.lazy(() => import('@/pages/admin/Membership'));
|
const AdminMembership = React.lazy(() => import('@/pages/admin/Membership'));
|
||||||
const AdminAds = React.lazy(() => import('@/pages/admin/Ads'));
|
const AdminAds = React.lazy(() => import('@/pages/admin/Ads'));
|
||||||
const AdminMarket = React.lazy(() => import('@/pages/admin/Market'));
|
const AdminMarket = React.lazy(() => import('@/pages/admin/Market'));
|
||||||
const AdminLogs = React.lazy(() => import('@/pages/admin/Logs'));
|
const AdminLogs = React.lazy(() => import('@/pages/admin/Logs'));
|
||||||
const AdminSkills = React.lazy(() => import('@/pages/admin/Skills'));
|
const AdminSkills = React.lazy(() => import('@/pages/admin/Skills'));
|
||||||
const AdminAgents = React.lazy(() => import('@/pages/admin/Agents'));
|
const AdminAgents = React.lazy(() => import('@/pages/admin/Agents'));
|
||||||
const AdminCodeExec = React.lazy(() => import('@/pages/admin/CodeExec'));
|
const AdminCodeExec = React.lazy(() => import('@/pages/admin/CodeExec'));
|
||||||
const DistributionBuilder = React.lazy(() => import('@/pages/admin/DistributionBuilder'));
|
const DistributionBuilder = React.lazy(() => import('@/pages/admin/DistributionBuilder'));
|
||||||
const ImBots = React.lazy(() => import('@/pages/admin/ImBots'));
|
const ImBots = React.lazy(() => import('@/pages/admin/ImBots'));
|
||||||
const PrivacySettings = React.lazy(() => import('@/pages/admin/PrivacySettings'));
|
const PrivacySettings = React.lazy(() => import('@/pages/admin/PrivacySettings'));
|
||||||
const Promotion = React.lazy(() => import('@/pages/admin/Promotion'));
|
const Promotion = React.lazy(() => import('@/pages/admin/Promotion'));
|
||||||
const Achievement = React.lazy(() => import('@/pages/admin/Achievement'));
|
const Achievement = React.lazy(() => import('@/pages/admin/Achievement'));
|
||||||
const Tenant = React.lazy(() => import('@/pages/admin/Tenant'));
|
const Tenant = React.lazy(() => import('@/pages/admin/Tenant'));
|
||||||
const Billing = React.lazy(() => import('@/pages/admin/Billing'));
|
const Billing = React.lazy(() => import('@/pages/admin/Billing'));
|
||||||
const Analytics = React.lazy(() => import('@/pages/admin/Analytics'));
|
const Analytics = React.lazy(() => import('@/pages/admin/Analytics'));
|
||||||
const AdminKnowledge = React.lazy(() => import('@/pages/admin/Knowledge'));
|
const Observability = React.lazy(() => import('@/pages/admin/Observability'));
|
||||||
const AdminWorkflow = React.lazy(() => import('@/pages/admin/Workflow'));
|
const AdminKnowledge = React.lazy(() => import('@/pages/admin/Knowledge'));
|
||||||
const AdminStorage = React.lazy(() => import('@/pages/admin/Storage'));
|
const AdminWorkflow = React.lazy(() => import('@/pages/admin/Workflow'));
|
||||||
const AdminDeveloper = React.lazy(() => import('@/pages/admin/Developer'));
|
const AdminStorage = React.lazy(() => import('@/pages/admin/Storage'));
|
||||||
const AdminDeveloperTools = React.lazy(() => import('@/pages/admin/DeveloperTools'));
|
const AdminDeveloper = React.lazy(() => import('@/pages/admin/Developer'));
|
||||||
const AdminAutomation = React.lazy(() => import('@/pages/admin/Automation'));
|
const AdminDeveloperTools = React.lazy(() => import('@/pages/admin/DeveloperTools'));
|
||||||
const AdminMcp = React.lazy(() => import('@/pages/admin/Mcp'));
|
const AdminAutomation = React.lazy(() => import('@/pages/admin/Automation'));
|
||||||
const AdminApps = React.lazy(() => import('@/pages/admin/Apps'));
|
const AdminMcp = React.lazy(() => import('@/pages/admin/Mcp'));
|
||||||
const AssetCenter = React.lazy(() => import('@/pages/admin/AssetCenter'));
|
const AdminApps = React.lazy(() => import('@/pages/admin/Apps'));
|
||||||
const UserPortal = React.lazy(() => import('@/pages/UserPortal'));
|
const AssetCenter = React.lazy(() => import('@/pages/admin/AssetCenter'));
|
||||||
const WechatBot = React.lazy(() => import('@/pages/front/WechatBot'));
|
const UserPortal = React.lazy(() => import('@/pages/UserPortal'));
|
||||||
const ImBotHub = React.lazy(() => import('@/pages/front/ImBotHub'));
|
const WechatBot = React.lazy(() => import('@/pages/front/WechatBot'));
|
||||||
const AppServices = React.lazy(() => import('@/pages/front/AppServices'));
|
const ImBotHub = React.lazy(() => import('@/pages/front/ImBotHub'));
|
||||||
|
const AppServices = React.lazy(() => import('@/pages/front/AppServices'));
|
||||||
const pageFallback = <div className="loading-screen">加载中...</div>;
|
|
||||||
|
const pageFallback = <div className="loading-screen">加载中...</div>;
|
||||||
const App: React.FC = () => {
|
|
||||||
const [user, setUser] = useState<User | null>(null);
|
const App: React.FC = () => {
|
||||||
const [loading, setLoading] = useState(true);
|
const [user, setUser] = useState<User | null>(null);
|
||||||
|
const [loading, setLoading] = useState(true);
|
||||||
// 初始化:从localStorage恢复登录状态
|
|
||||||
useEffect(() => {
|
// 初始化:从localStorage恢复登录状态
|
||||||
const token = localStorage.getItem('aiflow_token');
|
useEffect(() => {
|
||||||
const cachedUser = localStorage.getItem('aiflow_user');
|
const token = localStorage.getItem('aiflow_token');
|
||||||
if (token && cachedUser) {
|
const cachedUser = localStorage.getItem('aiflow_user');
|
||||||
try {
|
if (token && cachedUser) {
|
||||||
setUser(JSON.parse(cachedUser));
|
try {
|
||||||
} catch {
|
setUser(JSON.parse(cachedUser));
|
||||||
localStorage.removeItem('aiflow_token');
|
} catch {
|
||||||
localStorage.removeItem('aiflow_user');
|
localStorage.removeItem('aiflow_token');
|
||||||
}
|
localStorage.removeItem('aiflow_user');
|
||||||
}
|
}
|
||||||
setLoading(false);
|
}
|
||||||
}, []);
|
setLoading(false);
|
||||||
|
}, []);
|
||||||
const login = (u: User) => {
|
|
||||||
setUser(u);
|
const login = (u: User) => {
|
||||||
localStorage.setItem('aiflow_user', JSON.stringify(u));
|
setUser(u);
|
||||||
};
|
localStorage.setItem('aiflow_user', JSON.stringify(u));
|
||||||
const logout = () => {
|
};
|
||||||
setUser(null);
|
const logout = () => {
|
||||||
localStorage.removeItem('aiflow_token');
|
setUser(null);
|
||||||
localStorage.removeItem('aiflow_user');
|
localStorage.removeItem('aiflow_token');
|
||||||
};
|
localStorage.removeItem('aiflow_user');
|
||||||
const isAdmin = user?.role === 'admin';
|
};
|
||||||
|
const isAdmin = user?.role === 'admin';
|
||||||
if (loading) {
|
|
||||||
return <div className="loading-screen">加载中...</div>;
|
if (loading) {
|
||||||
}
|
return <div className="loading-screen">加载中...</div>;
|
||||||
|
}
|
||||||
return (
|
|
||||||
<AuthContext.Provider value={{ user, login, logout, isAdmin }}>
|
return (
|
||||||
<Suspense fallback={pageFallback}>
|
<AuthContext.Provider value={{ user, login, logout, isAdmin }}>
|
||||||
<Routes>
|
<Suspense fallback={pageFallback}>
|
||||||
{/* Login */}
|
<Routes>
|
||||||
<Route path="/login" element={
|
{/* Login */}
|
||||||
user ? (isAdmin ? <Navigate to="/admin" /> : <Navigate to="/chat" />) : <LoginPage />
|
<Route path="/login" element={
|
||||||
} />
|
user ? (isAdmin ? <Navigate to="/admin" /> : <Navigate to="/chat" />) : <LoginPage />
|
||||||
|
} />
|
||||||
{/* Root - Landing for guests, redirect for authenticated users */}
|
|
||||||
<Route path="/" element={
|
{/* Root - Landing for guests, redirect for authenticated users */}
|
||||||
user ? (isAdmin ? <Navigate to="/admin" /> : <Navigate to="/chat" />) : <LandingPage />
|
<Route path="/" element={
|
||||||
} />
|
user ? (isAdmin ? <Navigate to="/admin" /> : <Navigate to="/chat" />) : <LandingPage />
|
||||||
|
} />
|
||||||
{/* Front Routes (authenticated only) */}
|
|
||||||
<Route path="/" element={<FrontLayout />}>
|
{/* Front Routes (authenticated only) */}
|
||||||
<Route path="chat" element={<ChatPage />} />
|
<Route path="/" element={<FrontLayout />}>
|
||||||
<Route path="chat/:id" element={<ChatPage />} />
|
<Route path="chat" element={<ChatPage />} />
|
||||||
<Route path="knowledge" element={<KnowledgePage />} />
|
<Route path="chat/:id" element={<ChatPage />} />
|
||||||
<Route path="market" element={<MarketPage />} />
|
<Route path="knowledge" element={<KnowledgePage />} />
|
||||||
<Route path="token" element={<TokenDashboardPage />} />
|
<Route path="market" element={<MarketPage />} />
|
||||||
<Route path="pricing" element={<PricingPage />} />
|
<Route path="token" element={<TokenDashboardPage />} />
|
||||||
<Route path="profile" element={<ProfilePage />} />
|
<Route path="pricing" element={<PricingPage />} />
|
||||||
<Route path="notifications" element={<NotificationPage />} />
|
<Route path="profile" element={<ProfilePage />} />
|
||||||
<Route path="assets" element={<AssetsPage />} />
|
<Route path="notifications" element={<NotificationPage />} />
|
||||||
<Route path="assets/novel/:id" element={<NovelPreviewPage />} />
|
<Route path="assets" element={<AssetsPage />} />
|
||||||
<Route path="evolution" element={<EvolutionDashboard />} />
|
<Route path="assets/novel/:id" element={<NovelPreviewPage />} />
|
||||||
<Route path="wechat-bot" element={<WechatBot />} />
|
<Route path="evolution" element={<EvolutionDashboard />} />
|
||||||
<Route path="im-bots" element={<ImBotHub />} />
|
<Route path="wechat-bot" element={<WechatBot />} />
|
||||||
<Route path="app-services" element={<AppServices />} />
|
<Route path="im-bots" element={<ImBotHub />} />
|
||||||
</Route>
|
<Route path="app-services" element={<AppServices />} />
|
||||||
|
</Route>
|
||||||
{/* Admin Routes */}
|
|
||||||
<Route path="/admin" element={<AdminLayout />}>
|
{/* Admin Routes */}
|
||||||
<Route index element={<AdminDashboard />} />
|
<Route path="/admin" element={<AdminLayout />}>
|
||||||
<Route path="users" element={<AdminUsers />} />
|
<Route index element={<AdminDashboard />} />
|
||||||
<Route path="models" element={<AdminModels />} />
|
<Route path="users" element={<AdminUsers />} />
|
||||||
<Route path="settings" element={<AdminSiteSettings />} />
|
<Route path="models" element={<AdminModels />} />
|
||||||
<Route path="sms" element={<AdminSmsConfig />} />
|
<Route path="settings" element={<AdminSiteSettings />} />
|
||||||
<Route path="payment" element={<AdminPayment />} />
|
<Route path="sms" element={<AdminSmsConfig />} />
|
||||||
<Route path="services" element={<AdminServices />} />
|
<Route path="payment" element={<AdminPayment />} />
|
||||||
<Route path="membership" element={<AdminMembership />} />
|
<Route path="services" element={<AdminServices />} />
|
||||||
<Route path="ads" element={<AdminAds />} />
|
<Route path="membership" element={<AdminMembership />} />
|
||||||
<Route path="market" element={<AdminMarket />} />
|
<Route path="ads" element={<AdminAds />} />
|
||||||
<Route path="logs" element={<AdminLogs />} />
|
<Route path="market" element={<AdminMarket />} />
|
||||||
<Route path="skills" element={<AdminSkills />} />
|
<Route path="logs" element={<AdminLogs />} />
|
||||||
<Route path="agents" element={<AdminAgents />} />
|
<Route path="skills" element={<AdminSkills />} />
|
||||||
<Route path="code-exec" element={<AdminCodeExec />} />
|
<Route path="agents" element={<AdminAgents />} />
|
||||||
<Route path="distributions" element={<DistributionBuilder />} />
|
<Route path="code-exec" element={<AdminCodeExec />} />
|
||||||
<Route path="im-bots" element={<ImBots />} />
|
<Route path="distributions" element={<DistributionBuilder />} />
|
||||||
<Route path="privacy" element={<PrivacySettings />} />
|
<Route path="im-bots" element={<ImBots />} />
|
||||||
<Route path="promotion" element={<Promotion />} />
|
<Route path="privacy" element={<PrivacySettings />} />
|
||||||
<Route path="achievement" element={<Achievement />} />
|
<Route path="promotion" element={<Promotion />} />
|
||||||
<Route path="tenant" element={<Tenant />} />
|
<Route path="achievement" element={<Achievement />} />
|
||||||
<Route path="billing" element={<Billing />} />
|
<Route path="tenant" element={<Tenant />} />
|
||||||
<Route path="analytics" element={<Analytics />} />
|
<Route path="billing" element={<Billing />} />
|
||||||
<Route path="knowledge" element={<AdminKnowledge />} />
|
<Route path="analytics" element={<Analytics />} />
|
||||||
<Route path="workflow" element={<AdminWorkflow />} />
|
<Route path="observability" element={<Observability />} />
|
||||||
<Route path="storage" element={<AdminStorage />} />
|
<Route path="knowledge" element={<AdminKnowledge />} />
|
||||||
<Route path="developer" element={<AdminDeveloper />} />
|
<Route path="workflow" element={<AdminWorkflow />} />
|
||||||
<Route path="developer-tools" element={<AdminDeveloperTools />} />
|
<Route path="storage" element={<AdminStorage />} />
|
||||||
<Route path="automation" element={<AdminAutomation />} />
|
<Route path="developer" element={<AdminDeveloper />} />
|
||||||
<Route path="mcp" element={<AdminMcp />} />
|
<Route path="developer-tools" element={<AdminDeveloperTools />} />
|
||||||
<Route path="apps" element={<AdminApps />} />
|
<Route path="automation" element={<AdminAutomation />} />
|
||||||
<Route path="assets" element={<AssetCenter />} />
|
<Route path="mcp" element={<AdminMcp />} />
|
||||||
<Route path="portal" element={<UserPortal />} />
|
<Route path="apps" element={<AdminApps />} />
|
||||||
</Route>
|
<Route path="assets" element={<AssetCenter />} />
|
||||||
|
<Route path="portal" element={<UserPortal />} />
|
||||||
{/* 公开前台首页:不受登录态拦截,供后台「访问前台」直接打开 */}
|
</Route>
|
||||||
<Route path="/home" element={<LandingPage />} />
|
|
||||||
<Route path="*" element={<Navigate to="/" />} />
|
{/* 公开前台首页:不受登录态拦截,供后台「访问前台」直接打开 */}
|
||||||
</Routes>
|
<Route path="/home" element={<LandingPage />} />
|
||||||
</Suspense>
|
<Route path="*" element={<Navigate to="/" />} />
|
||||||
</AuthContext.Provider>
|
</Routes>
|
||||||
);
|
</Suspense>
|
||||||
};
|
</AuthContext.Provider>
|
||||||
|
);
|
||||||
export default App;
|
};
|
||||||
|
|
||||||
|
export default App;
|
||||||
+1987
-1986
File diff suppressed because it is too large.
Load diff
@@ -1,435 +1,437 @@
|
|||||||
import React, { useState, useEffect } from 'react';
|
import React, { useState, useEffect } from 'react';
|
||||||
|
|
||||||
import { Outlet, NavLink, useNavigate, useLocation } from 'react-router-dom';
|
import { Outlet, NavLink, useNavigate, useLocation } from 'react-router-dom';
|
||||||
|
|
||||||
import { useAuth } from '@/contexts/AuthContext';
|
import { useAuth } from '@/contexts/AuthContext';
|
||||||
|
|
||||||
import './AdminLayout.css';
|
import './AdminLayout.css';
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
interface NavItem {
|
interface NavItem {
|
||||||
|
|
||||||
path: string;
|
path: string;
|
||||||
|
|
||||||
icon: string;
|
icon: string;
|
||||||
|
|
||||||
label: string;
|
label: string;
|
||||||
|
|
||||||
exact?: boolean;
|
exact?: boolean;
|
||||||
|
|
||||||
}
|
}
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
interface NavGroup {
|
interface NavGroup {
|
||||||
|
|
||||||
title: string;
|
title: string;
|
||||||
|
|
||||||
icon: string;
|
icon: string;
|
||||||
|
|
||||||
items: NavItem[];
|
items: NavItem[];
|
||||||
|
|
||||||
}
|
}
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
const adminNavGroups: NavGroup[] = [
|
const adminNavGroups: NavGroup[] = [
|
||||||
|
|
||||||
{
|
{
|
||||||
title: '数据驾驶舱',
|
title: '数据驾驶舱',
|
||||||
icon: 'dashboard',
|
icon: 'dashboard',
|
||||||
items: [
|
items: [
|
||||||
{ path: '/admin', icon: 'dashboard', label: '平台驾驶舱', exact: true },
|
{ path: '/admin', icon: 'dashboard', label: '平台驾驶舱', exact: true },
|
||||||
],
|
],
|
||||||
},
|
},
|
||||||
|
|
||||||
{
|
{
|
||||||
title: 'AI技能中心',
|
title: 'AI技能中心',
|
||||||
icon: 'agents',
|
icon: 'agents',
|
||||||
items: [
|
items: [
|
||||||
{ path: '/admin/models', icon: 'models', label: '大模型库' },
|
{ path: '/admin/models', icon: 'models', label: '大模型库' },
|
||||||
{ path: '/admin/agents', icon: 'agents', label: 'Agent 管理' },
|
{ path: '/admin/agents', icon: 'agents', label: 'Agent 管理' },
|
||||||
{ path: '/admin/skills', icon: 'skills', label: 'Skills技能管理' },
|
{ path: '/admin/skills', icon: 'skills', label: 'Skills技能管理' },
|
||||||
{ path: '/admin/mcp', icon: 'mcp', label: 'MCP Client 管理' },
|
{ path: '/admin/mcp', icon: 'mcp', label: 'MCP Client 管理' },
|
||||||
{ path: '/admin/market', icon: 'market', label: 'AI 技能审核' },
|
{ path: '/admin/market', icon: 'market', label: 'AI 技能审核' },
|
||||||
],
|
],
|
||||||
},
|
},
|
||||||
|
|
||||||
{
|
{
|
||||||
title: '平台运营',
|
title: '平台运营',
|
||||||
icon: 'users',
|
icon: 'users',
|
||||||
items: [
|
items: [
|
||||||
{ path: '/admin/users', icon: 'users', label: '用户管理' },
|
{ path: '/admin/users', icon: 'users', label: '用户管理' },
|
||||||
{ path: '/admin/membership', icon: 'membership', label: '会员管理' },
|
{ path: '/admin/membership', icon: 'membership', label: '会员管理' },
|
||||||
{ path: '/admin/promotion', icon: 'promotion', label: '推广系统' },
|
{ path: '/admin/promotion', icon: 'promotion', label: '推广系统' },
|
||||||
{ path: '/admin/achievement', icon: 'achievement', label: '成就系统' },
|
{ path: '/admin/achievement', icon: 'achievement', label: '成就系统' },
|
||||||
],
|
],
|
||||||
},
|
},
|
||||||
|
|
||||||
{
|
{
|
||||||
title: '商业变现',
|
title: '商业变现',
|
||||||
icon: 'billing',
|
icon: 'billing',
|
||||||
items: [
|
items: [
|
||||||
{ path: '/admin/billing', icon: 'billing', label: '计费与支付' },
|
{ path: '/admin/billing', icon: 'billing', label: '计费与支付' },
|
||||||
{ path: '/admin/payment', icon: 'payment', label: '支付渠道' },
|
{ path: '/admin/payment', icon: 'payment', label: '支付渠道' },
|
||||||
{ path: '/admin/services', icon: 'services', label: '增值服务' },
|
{ path: '/admin/services', icon: 'services', label: '增值服务' },
|
||||||
{ path: '/admin/ads', icon: 'ads', label: '广告管理' },
|
{ path: '/admin/ads', icon: 'ads', label: '广告管理' },
|
||||||
{ path: '/admin/assets', icon: 'assets', label: '资产管理' },
|
{ path: '/admin/assets', icon: 'assets', label: '资产管理' },
|
||||||
],
|
],
|
||||||
},
|
},
|
||||||
|
|
||||||
{
|
{
|
||||||
title: '系统管理',
|
title: '系统管理',
|
||||||
icon: 'settings',
|
icon: 'settings',
|
||||||
items: [
|
items: [
|
||||||
{ path: '/admin/settings', icon: 'settings', label: '网站设置' },
|
{ path: '/admin/settings', icon: 'settings', label: '网站设置' },
|
||||||
{ path: '/admin/logs', icon: 'logs', label: '日志与风控' },
|
{ path: '/admin/logs', icon: 'logs', label: '日志与风控' },
|
||||||
{ path: '/admin/knowledge', icon: 'knowledge', label: '知识库管理' },
|
{ path: '/admin/knowledge', icon: 'knowledge', label: '知识库管理' },
|
||||||
{ path: '/admin/sms', icon: 'sms', label: '短信配置' },
|
{ path: '/admin/sms', icon: 'sms', label: '短信配置' },
|
||||||
{ path: '/admin/storage', icon: 'storage', label: '存储配置' },
|
{ path: '/admin/storage', icon: 'storage', label: '存储配置' },
|
||||||
{ path: '/admin/automation', icon: 'automation', label: '自动化任务' },
|
{ path: '/admin/automation', icon: 'automation', label: '自动化任务' },
|
||||||
],
|
],
|
||||||
},
|
},
|
||||||
|
|
||||||
{
|
{
|
||||||
title: '待处理',
|
title: '待处理',
|
||||||
icon: 'developer',
|
icon: 'developer',
|
||||||
items: [
|
items: [
|
||||||
{ path: '/admin/analytics', icon: 'analytics', label: '数据分析' },
|
{ path: '/admin/analytics', icon: 'analytics', label: '数据分析' },
|
||||||
{ path: '/admin/workflow', icon: 'workflow', label: '工作流编排' },
|
{ path: '/admin/observability', icon: 'observability', label: '调用可观测' },
|
||||||
{ path: '/admin/apps', icon: 'apps', label: 'AI 应用管理' },
|
{ path: '/admin/workflow', icon: 'workflow', label: '工作流编排' },
|
||||||
{ path: '/admin/code-exec', icon: 'code', label: '代码执行沙箱' },
|
{ path: '/admin/apps', icon: 'apps', label: 'AI 应用管理' },
|
||||||
{ path: '/admin/tenant', icon: 'tenant', label: '多租户管理' },
|
{ path: '/admin/code-exec', icon: 'code', label: '代码执行沙箱' },
|
||||||
{ path: '/admin/im-bots', icon: 'imbot', label: 'IM 机器人' },
|
{ path: '/admin/tenant', icon: 'tenant', label: '多租户管理' },
|
||||||
{ path: '/admin/privacy', icon: 'privacy', label: '隐私与本地代理' },
|
{ path: '/admin/im-bots', icon: 'imbot', label: 'IM 机器人' },
|
||||||
{ path: '/admin/distributions', icon: 'distro', label: '发行版构建' },
|
{ path: '/admin/privacy', icon: 'privacy', label: '隐私与本地代理' },
|
||||||
{ path: '/admin/developer', icon: 'developer', label: '开发者 API' },
|
{ path: '/admin/distributions', icon: 'distro', label: '发行版构建' },
|
||||||
{ path: '/admin/developer-tools', icon: 'devtools', label: '开发者工具' },
|
{ path: '/admin/developer', icon: 'developer', label: '开发者 API' },
|
||||||
],
|
{ path: '/admin/developer-tools', icon: 'devtools', label: '开发者工具' },
|
||||||
},
|
],
|
||||||
|
},
|
||||||
];
|
|
||||||
|
];
|
||||||
|
|
||||||
|
|
||||||
const adminIconPaths: Record<string, JSX.Element> = {
|
|
||||||
|
const adminIconPaths: Record<string, JSX.Element> = {
|
||||||
dashboard: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><rect x="3" y="3" width="7" height="7" rx="1"/><rect x="14" y="3" width="7" height="7" rx="1"/><rect x="3" y="14" width="7" height="7" rx="1"/><rect x="14" y="14" width="7" height="7" rx="1"/></svg>,
|
|
||||||
|
dashboard: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><rect x="3" y="3" width="7" height="7" rx="1"/><rect x="14" y="3" width="7" height="7" rx="1"/><rect x="3" y="14" width="7" height="7" rx="1"/><rect x="14" y="14" width="7" height="7" rx="1"/></svg>,
|
||||||
users: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><path d="M17 21v-2a4 4 0 0 0-4-4H5a4 4 0 0 0-4 4v2"/><circle cx="9" cy="7" r="4"/><path d="M23 21v-2a4 4 0 0 0-3-3.87"/><path d="M16 3.13a4 4 0 0 1 0 7.75"/></svg>,
|
|
||||||
|
users: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><path d="M17 21v-2a4 4 0 0 0-4-4H5a4 4 0 0 0-4 4v2"/><circle cx="9" cy="7" r="4"/><path d="M23 21v-2a4 4 0 0 0-3-3.87"/><path d="M16 3.13a4 4 0 0 1 0 7.75"/></svg>,
|
||||||
models: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><path d="M12 2L2 7l10 5 10-5-10-5z"/><path d="M2 17l10 5 10-5"/><path d="M2 12l10 5 10-5"/></svg>,
|
|
||||||
|
models: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><path d="M12 2L2 7l10 5 10-5-10-5z"/><path d="M2 17l10 5 10-5"/><path d="M2 12l10 5 10-5"/></svg>,
|
||||||
settings: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><circle cx="12" cy="12" r="3"/><path d="M19.4 15a1.65 1.65 0 0 0 .33 1.82l.06.06a2 2 0 0 1-2.83 2.83l-.06-.06a1.65 1.65 0 0 0-1.82-.33 1.65 1.65 0 0 0-1 1.51V21a2 2 0 0 1-4 0v-.09A1.65 1.65 0 0 0 9 19.4a1.65 1.65 0 0 0-1.82.33l-.06.06a2 2 0 0 1-2.83-2.83l.06-.06A1.65 1.65 0 0 0 4.68 15a1.65 1.65 0 0 0-1.51-1H3a2 2 0 0 1 0-4h.09A1.65 1.65 0 0 0 4.6 9a1.65 1.65 0 0 0-.33-1.82l-.06-.06a2 2 0 0 1 2.83-2.83l.06.06A1.65 1.65 0 0 0 9 4.68a1.65 1.65 0 0 0 1-1.51V3a2 2 0 0 1 4 0v.09a1.65 1.65 0 0 0 1 1.51 1.65 1.65 0 0 0 1.82-.33l.06-.06a2 2 0 0 1 2.83 2.83l-.06.06A1.65 1.65 0 0 0 19.4 9a1.65 1.65 0 0 0 1.51 1H21a2 2 0 0 1 0 4h-.09a1.65 1.65 0 0 0-1.51 1z"/></svg>,
|
|
||||||
|
settings: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><circle cx="12" cy="12" r="3"/><path d="M19.4 15a1.65 1.65 0 0 0 .33 1.82l.06.06a2 2 0 0 1-2.83 2.83l-.06-.06a1.65 1.65 0 0 0-1.82-.33 1.65 1.65 0 0 0-1 1.51V21a2 2 0 0 1-4 0v-.09A1.65 1.65 0 0 0 9 19.4a1.65 1.65 0 0 0-1.82.33l-.06.06a2 2 0 0 1-2.83-2.83l.06-.06A1.65 1.65 0 0 0 4.68 15a1.65 1.65 0 0 0-1.51-1H3a2 2 0 0 1 0-4h.09A1.65 1.65 0 0 0 4.6 9a1.65 1.65 0 0 0-.33-1.82l-.06-.06a2 2 0 0 1 2.83-2.83l.06.06A1.65 1.65 0 0 0 9 4.68a1.65 1.65 0 0 0 1-1.51V3a2 2 0 0 1 4 0v.09a1.65 1.65 0 0 0 1 1.51 1.65 1.65 0 0 0 1.82-.33l.06-.06a2 2 0 0 1 2.83 2.83l-.06.06A1.65 1.65 0 0 0 19.4 9a1.65 1.65 0 0 0 1.51 1H21a2 2 0 0 1 0 4h-.09a1.65 1.65 0 0 0-1.51 1z"/></svg>,
|
||||||
payment: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><rect x="2" y="5" width="20" height="14" rx="2"/><line x1="2" y1="10" x2="22" y2="10"/></svg>,
|
|
||||||
|
payment: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><rect x="2" y="5" width="20" height="14" rx="2"/><line x1="2" y1="10" x2="22" y2="10"/></svg>,
|
||||||
services: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><polyline points="16 3 21 3 21 8"/><line x1="4" y1="20" x2="21" y2="3"/><polyline points="21 16 21 21 16 21"/><line x1="15" y1="15" x2="21" y2="21"/><line x1="4" y1="4" x2="9" y2="9"/></svg>,
|
|
||||||
|
services: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><polyline points="16 3 21 3 21 8"/><line x1="4" y1="20" x2="21" y2="3"/><polyline points="21 16 21 21 16 21"/><line x1="15" y1="15" x2="21" y2="21"/><line x1="4" y1="4" x2="9" y2="9"/></svg>,
|
||||||
membership: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><path d="M20.59 13.41l-7.17 7.17a2 2 0 0 1-2.83 0L2 12V2h10l8.59 8.59a2 2 0 0 1 0 2.82z"/><line x1="7" y1="7" x2="7.01" y2="7"/></svg>,
|
|
||||||
|
membership: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><path d="M20.59 13.41l-7.17 7.17a2 2 0 0 1-2.83 0L2 12V2h10l8.59 8.59a2 2 0 0 1 0 2.82z"/><line x1="7" y1="7" x2="7.01" y2="7"/></svg>,
|
||||||
ads: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><rect x="2" y="3" width="20" height="14" rx="2"/><line x1="8" y1="21" x2="16" y2="21"/><line x1="12" y1="17" x2="12" y2="21"/></svg>,
|
|
||||||
|
ads: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><rect x="2" y="3" width="20" height="14" rx="2"/><line x1="8" y1="21" x2="16" y2="21"/><line x1="12" y1="17" x2="12" y2="21"/></svg>,
|
||||||
market: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><rect x="3" y="3" width="7" height="7" rx="1.2"/><rect x="14" y="3" width="7" height="7" rx="1.2"/><rect x="3" y="14" width="7" height="7" rx="1.2"/><rect x="14" y="14" width="7" height="7" rx="1.2"/></svg>,
|
|
||||||
|
market: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><rect x="3" y="3" width="7" height="7" rx="1.2"/><rect x="14" y="3" width="7" height="7" rx="1.2"/><rect x="3" y="14" width="7" height="7" rx="1.2"/><rect x="14" y="14" width="7" height="7" rx="1.2"/></svg>,
|
||||||
logs: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><path d="M14 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V8z"/><polyline points="14 2 14 8 20 8"/><line x1="16" y1="13" x2="8" y2="13"/><line x1="16" y1="17" x2="8" y2="17"/><polyline points="10 9 9 9 8 9"/></svg>,
|
|
||||||
|
logs: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><path d="M14 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V8z"/><polyline points="14 2 14 8 20 8"/><line x1="16" y1="13" x2="8" y2="13"/><line x1="16" y1="17" x2="8" y2="17"/><polyline points="10 9 9 9 8 9"/></svg>,
|
||||||
agents: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><rect x="3" y="11" width="18" height="10" rx="2"/><circle cx="12" cy="5" r="2"/><path d="M12 7v4"/><line x1="8" y1="16" x2="8" y2="16"/><line x1="16" y1="16" x2="16" y2="16"/></svg>,
|
|
||||||
|
agents: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><rect x="3" y="11" width="18" height="10" rx="2"/><circle cx="12" cy="5" r="2"/><path d="M12 7v4"/><line x1="8" y1="16" x2="8" y2="16"/><line x1="16" y1="16" x2="16" y2="16"/></svg>,
|
||||||
skills: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><path d="M14.7 6.3a1 1 0 0 0 0 1.4l1.6 1.6a1 1 0 0 0 1.4 0l3.77-3.77a6 6 0 0 1-7.94 7.94l-6.91 6.91a2.12 2.12 0 0 1-3-3l6.91-6.91a6 6 0 0 1 7.94-7.94l-3.76 3.76z"/></svg>,
|
|
||||||
|
skills: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><path d="M14.7 6.3a1 1 0 0 0 0 1.4l1.6 1.6a1 1 0 0 0 1.4 0l3.77-3.77a6 6 0 0 1-7.94 7.94l-6.91 6.91a2.12 2.12 0 0 1-3-3l6.91-6.91a6 6 0 0 1 7.94-7.94l-3.76 3.76z"/></svg>,
|
||||||
code: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><polyline points="16 18 22 12 16 6"/><polyline points="8 6 2 12 8 18"/></svg>,
|
|
||||||
|
code: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><polyline points="16 18 22 12 16 6"/><polyline points="8 6 2 12 8 18"/></svg>,
|
||||||
distro: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><path d="M21 16V8a2 2 0 0 0-1-1.73l-7-4a2 2 0 0 0-2 0l-7 4A2 2 0 0 0 3 8v8a2 2 0 0 0 1 1.73l7 4a2 2 0 0 0 2 0l7-4A2 2 0 0 0 21 16z"/><polyline points="3.27 6.96 12 12.01 20.73 6.96"/><line x1="12" y1="22.08" x2="12" y2="12"/></svg>,
|
|
||||||
|
distro: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><path d="M21 16V8a2 2 0 0 0-1-1.73l-7-4a2 2 0 0 0-2 0l-7 4A2 2 0 0 0 3 8v8a2 2 0 0 0 1 1.73l7 4a2 2 0 0 0 2 0l7-4A2 2 0 0 0 21 16z"/><polyline points="3.27 6.96 12 12.01 20.73 6.96"/><line x1="12" y1="22.08" x2="12" y2="12"/></svg>,
|
||||||
privacy: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><rect x="3" y="11" width="18" height="11" rx="2" ry="2"/><path d="M7 11V7a5 5 0 0 1 10 0v4"/><circle cx="12" cy="16" r="1"/></svg>,
|
|
||||||
|
privacy: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><rect x="3" y="11" width="18" height="11" rx="2" ry="2"/><path d="M7 11V7a5 5 0 0 1 10 0v4"/><circle cx="12" cy="16" r="1"/></svg>,
|
||||||
promotion: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><circle cx="12" cy="8" r="7"/><path d="M8.5 12.5L6 21l6-2 6 2-2.5-8.5"/><circle cx="12" cy="8" r="3"/></svg>,
|
|
||||||
|
promotion: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><circle cx="12" cy="8" r="7"/><path d="M8.5 12.5L6 21l6-2 6 2-2.5-8.5"/><circle cx="12" cy="8" r="3"/></svg>,
|
||||||
achievement: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.27 7.82 22 7 14.14l-5-4.87 6.91-1.01L12 2z"/></svg>,
|
|
||||||
|
achievement: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.27 7.82 22 7 14.14l-5-4.87 6.91-1.01L12 2z"/></svg>,
|
||||||
tenant: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><path d="M3 21V8l9-5 9 5v13"/><path d="M9 21v-6h6v6"/><path d="M3 13h18"/></svg>,
|
|
||||||
|
tenant: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><path d="M3 21V8l9-5 9 5v13"/><path d="M9 21v-6h6v6"/><path d="M3 13h18"/></svg>,
|
||||||
billing: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><rect x="2" y="5" width="20" height="14" rx="2"/><line x1="2" y1="10" x2="22" y2="10"/><line x1="6" y1="15" x2="10" y2="15"/></svg>,
|
|
||||||
|
billing: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><rect x="2" y="5" width="20" height="14" rx="2"/><line x1="2" y1="10" x2="22" y2="10"/><line x1="6" y1="15" x2="10" y2="15"/></svg>,
|
||||||
analytics: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><line x1="18" y1="20" x2="18" y2="10"/><line x1="12" y1="20" x2="12" y2="4"/><line x1="6" y1="20" x2="6" y2="14"/><line x1="3" y1="20" x2="21" y2="20"/></svg>,
|
|
||||||
|
analytics: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><line x1="18" y1="20" x2="18" y2="10"/><line x1="12" y1="20" x2="12" y2="4"/><line x1="6" y1="20" x2="6" y2="14"/><line x1="3" y1="20" x2="21" y2="20"/></svg>,
|
||||||
imbot: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><path d="M21 11.5a8.38 8.38 0 0 1-.9 3.8 8.5 8.5 0 0 1-7.6 4.7 8.38 8.38 0 0 1-3.8-.9L3 21l1.9-5.7a8.38 8.38 0 0 1-.9-3.8 8.5 8.5 0 0 1 4.7-7.6 8.38 8.38 0 0 1 3.8-.9h.5a8.48 8.48 0 0 1 8 8v.5z"/></svg>,
|
observability: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><path d="M3 12h4l3 8 4-16 3 8h4"/></svg>,
|
||||||
|
|
||||||
storage: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><ellipse cx="12" cy="5" rx="9" ry="3"/><path d="M21 12c0 1.66-4 3-9 3s-9-1.34-9-3"/><path d="M3 5v14c0 1.66 4 3 9 3s9-1.34 9-3V5"/></svg>,
|
imbot: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><path d="M21 11.5a8.38 8.38 0 0 1-.9 3.8 8.5 8.5 0 0 1-7.6 4.7 8.38 8.38 0 0 1-3.8-.9L3 21l1.9-5.7a8.38 8.38 0 0 1-.9-3.8 8.5 8.5 0 0 1 4.7-7.6 8.38 8.38 0 0 1 3.8-.9h.5a8.48 8.48 0 0 1 8 8v.5z"/></svg>,
|
||||||
|
|
||||||
automation: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><path d="M12 2v4M12 18v4M4.93 4.93l2.83 2.83M16.24 16.24l2.83 2.83M2 12h4M18 12h4M4.93 19.07l2.83-2.83M16.24 7.76l2.83-2.83"/></svg>,
|
storage: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><ellipse cx="12" cy="5" rx="9" ry="3"/><path d="M21 12c0 1.66-4 3-9 3s-9-1.34-9-3"/><path d="M3 5v14c0 1.66 4 3 9 3s9-1.34 9-3V5"/></svg>,
|
||||||
|
|
||||||
developer: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><polyline points="16 18 22 12 16 6"/><polyline points="8 6 2 12 8 18"/></svg>,
|
automation: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><path d="M12 2v4M12 18v4M4.93 4.93l2.83 2.83M16.24 16.24l2.83 2.83M2 12h4M18 12h4M4.93 19.07l2.83-2.83M16.24 7.76l2.83-2.83"/></svg>,
|
||||||
|
|
||||||
devtools: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><path d="M14.7 6.3a1 1 0 0 0 0 1.4l1.6 1.6a1 1 0 0 0 1.4 0l3.77-3.77a6 6 0 0 1-7.94 7.94l-6.91 6.91a2.12 2.12 0 0 1-3-3l6.91-6.91a6 6 0 0 1 7.94-7.94l-3.76 3.76z"/></svg>,
|
developer: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><polyline points="16 18 22 12 16 6"/><polyline points="8 6 2 12 8 18"/></svg>,
|
||||||
|
|
||||||
knowledge: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><path d="M4 19.5A2.5 2.5 0 0 1 6.5 17H20"/><path d="M6.5 2H20v20H6.5A2.5 2.5 0 0 1 4 19.5v-15A2.5 2.5 0 0 1 6.5 2z"/></svg>,
|
devtools: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><path d="M14.7 6.3a1 1 0 0 0 0 1.4l1.6 1.6a1 1 0 0 0 1.4 0l3.77-3.77a6 6 0 0 1-7.94 7.94l-6.91 6.91a2.12 2.12 0 0 1-3-3l6.91-6.91a6 6 0 0 1 7.94-7.94l-3.76 3.76z"/></svg>,
|
||||||
|
|
||||||
workflow: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><rect x="3" y="3" width="7" height="7" rx="1"/><rect x="14" y="3" width="7" height="7" rx="1"/><rect x="3" y="14" width="7" height="7" rx="1"/><rect x="14" y="14" width="7" height="7" rx="1"/><line x1="10" y1="6" x2="14" y2="6"/><line x1="10" y1="17" x2="14" y2="17"/></svg>,
|
knowledge: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><path d="M4 19.5A2.5 2.5 0 0 1 6.5 17H20"/><path d="M6.5 2H20v20H6.5A2.5 2.5 0 0 1 4 19.5v-15A2.5 2.5 0 0 1 6.5 2z"/></svg>,
|
||||||
|
|
||||||
mcp: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><circle cx="12" cy="12" r="3"/><path d="M19.4 15a1.65 1.65 0 0 0 .33 1.82l.06.06a2 2 0 0 1-2.83 2.83l-.06-.06a1.65 1.65 0 0 0-1.82-.33 1.65 1.65 0 0 0-1 1.51V21a2 2 0 0 1-4 0v-.09A1.65 1.65 0 0 0 9 19.4a1.65 1.65 0 0 0-1.82.33l-.06.06a2 2 0 0 1-2.83-2.83l.06-.06A1.65 1.65 0 0 0 4.68 15a1.65 1.65 0 0 0-1.51-1H3a2 2 0 0 1 0-4h.09A1.65 1.65 0 0 0 4.6 9a1.65 1.65 0 0 0-.33-1.82l-.06-.06a2 2 0 0 1 2.83-2.83l.06.06A1.65 1.65 0 0 0 9 4.68a1.65 1.65 0 0 0 1-1.51V3a2 2 0 0 1 4 0v.09a1.65 1.65 0 0 0 1 1.51 1.65 1.65 0 0 0 1.82-.33l.06-.06a2 2 0 0 1 2.83 2.83l-.06.06A1.65 1.65 0 0 0 19.4 9a1.65 1.65 0 0 0 1.51 1H21a2 2 0 0 1 0 4h-.09a1.65 1.65 0 0 0-1.51 1z"/></svg>,
|
workflow: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><rect x="3" y="3" width="7" height="7" rx="1"/><rect x="14" y="3" width="7" height="7" rx="1"/><rect x="3" y="14" width="7" height="7" rx="1"/><rect x="14" y="14" width="7" height="7" rx="1"/><line x1="10" y1="6" x2="14" y2="6"/><line x1="10" y1="17" x2="14" y2="17"/></svg>,
|
||||||
|
|
||||||
apps: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><rect x="3" y="3" width="7" height="7" rx="1"/><rect x="14" y="3" width="7" height="7" rx="1"/><rect x="3" y="14" width="7" height="7" rx="1"/><rect x="14" y="14" width="7" height="7" rx="1"/></svg>,
|
mcp: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><circle cx="12" cy="12" r="3"/><path d="M19.4 15a1.65 1.65 0 0 0 .33 1.82l.06.06a2 2 0 0 1-2.83 2.83l-.06-.06a1.65 1.65 0 0 0-1.82-.33 1.65 1.65 0 0 0-1 1.51V21a2 2 0 0 1-4 0v-.09A1.65 1.65 0 0 0 9 19.4a1.65 1.65 0 0 0-1.82.33l-.06.06a2 2 0 0 1-2.83-2.83l.06-.06A1.65 1.65 0 0 0 4.68 15a1.65 1.65 0 0 0-1.51-1H3a2 2 0 0 1 0-4h.09A1.65 1.65 0 0 0 4.6 9a1.65 1.65 0 0 0-.33-1.82l-.06-.06a2 2 0 0 1 2.83-2.83l.06.06A1.65 1.65 0 0 0 9 4.68a1.65 1.65 0 0 0 1-1.51V3a2 2 0 0 1 4 0v.09a1.65 1.65 0 0 0 1 1.51 1.65 1.65 0 0 0 1.82-.33l.06-.06a2 2 0 0 1 2.83 2.83l-.06.06A1.65 1.65 0 0 0 19.4 9a1.65 1.65 0 0 0 1.51 1H21a2 2 0 0 1 0 4h-.09a1.65 1.65 0 0 0-1.51 1z"/></svg>,
|
||||||
|
|
||||||
assets: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><path d="M21 16V8a2 2 0 0 0-1-1.73l-7-4a2 2 0 0 0-2 0l-7 4A2 2 0 0 0 3 8v8a2 2 0 0 0 1 1.73l7 4a2 2 0 0 0 2 0l7-4A2 2 0 0 0 21 16z"/><polyline points="3.27 6.96 12 12.01 20.73 6.96"/><line x1="12" y1="22.08" x2="12" y2="12"/></svg>,
|
apps: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><rect x="3" y="3" width="7" height="7" rx="1"/><rect x="14" y="3" width="7" height="7" rx="1"/><rect x="3" y="14" width="7" height="7" rx="1"/><rect x="14" y="14" width="7" height="7" rx="1"/></svg>,
|
||||||
|
|
||||||
chevron: <svg width="14" height="14" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="2" strokeLinecap="round" strokeLinejoin="round"><polyline points="6 9 12 15 18 9"/></svg>,
|
assets: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><path d="M21 16V8a2 2 0 0 0-1-1.73l-7-4a2 2 0 0 0-2 0l-7 4A2 2 0 0 0 3 8v8a2 2 0 0 0 1 1.73l7 4a2 2 0 0 0 2 0l7-4A2 2 0 0 0 21 16z"/><polyline points="3.27 6.96 12 12.01 20.73 6.96"/><line x1="12" y1="22.08" x2="12" y2="12"/></svg>,
|
||||||
|
|
||||||
sms: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><path d="M21 15a2 2 0 0 1-2 2H7l-4 4V5a2 2 0 0 1 2-2h14a2 2 0 0 1 2 2z"/></svg>,
|
chevron: <svg width="14" height="14" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="2" strokeLinecap="round" strokeLinejoin="round"><polyline points="6 9 12 15 18 9"/></svg>,
|
||||||
|
|
||||||
};
|
sms: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><path d="M21 15a2 2 0 0 1-2 2H7l-4 4V5a2 2 0 0 1 2-2h14a2 2 0 0 1 2 2z"/></svg>,
|
||||||
|
|
||||||
|
};
|
||||||
|
|
||||||
const AdminLayout: React.FC = () => {
|
|
||||||
|
|
||||||
const { user, logout } = useAuth();
|
const AdminLayout: React.FC = () => {
|
||||||
|
|
||||||
const navigate = useNavigate();
|
const { user, logout } = useAuth();
|
||||||
|
|
||||||
const location = useLocation();
|
const navigate = useNavigate();
|
||||||
|
|
||||||
// 后台必须登录且为管理员
|
const location = useLocation();
|
||||||
useEffect(() => {
|
|
||||||
const token = localStorage.getItem('aiflow_token');
|
// 后台必须登录且为管理员
|
||||||
if (!token || !user || user.role !== 'admin') {
|
useEffect(() => {
|
||||||
logout();
|
const token = localStorage.getItem('aiflow_token');
|
||||||
navigate('/login', { replace: true });
|
if (!token || !user || user.role !== 'admin') {
|
||||||
}
|
logout();
|
||||||
}, [user, logout, navigate]);
|
navigate('/login', { replace: true });
|
||||||
|
}
|
||||||
const navCrumb = (() => {
|
}, [user, logout, navigate]);
|
||||||
|
|
||||||
for (const g of adminNavGroups) {
|
const navCrumb = (() => {
|
||||||
|
|
||||||
for (const it of g.items) {
|
for (const g of adminNavGroups) {
|
||||||
|
|
||||||
const match = it.exact
|
for (const it of g.items) {
|
||||||
|
|
||||||
? location.pathname === it.path
|
const match = it.exact
|
||||||
|
|
||||||
: location.pathname === it.path || location.pathname.startsWith(it.path + '/');
|
? location.pathname === it.path
|
||||||
|
|
||||||
if (match) return { group: g.title, label: it.label };
|
: location.pathname === it.path || location.pathname.startsWith(it.path + '/');
|
||||||
|
|
||||||
}
|
if (match) return { group: g.title, label: it.label };
|
||||||
|
|
||||||
}
|
}
|
||||||
|
|
||||||
return { group: '', label: '' };
|
}
|
||||||
|
|
||||||
})();
|
return { group: '', label: '' };
|
||||||
|
|
||||||
const navGroup = navCrumb.group;
|
})();
|
||||||
|
|
||||||
const navLabel = navCrumb.label;
|
const navGroup = navCrumb.group;
|
||||||
|
|
||||||
|
const navLabel = navCrumb.label;
|
||||||
|
|
||||||
// 默认展开全部功能板块,确保后台所有模块在 UI 中可见(DESIGN.md: 侧栏分类清晰)
|
|
||||||
const [expandedGroups, setExpandedGroups] = useState<Set<string>>(() => {
|
|
||||||
return new Set(adminNavGroups.map((g) => g.title));
|
// 默认展开全部功能板块,确保后台所有模块在 UI 中可见(DESIGN.md: 侧栏分类清晰)
|
||||||
});
|
const [expandedGroups, setExpandedGroups] = useState<Set<string>>(() => {
|
||||||
|
return new Set(adminNavGroups.map((g) => g.title));
|
||||||
|
});
|
||||||
|
|
||||||
const toggleGroup = (title: string) => {
|
|
||||||
|
|
||||||
setExpandedGroups(prev => {
|
const toggleGroup = (title: string) => {
|
||||||
|
|
||||||
const next = new Set(prev);
|
setExpandedGroups(prev => {
|
||||||
|
|
||||||
if (next.has(title)) next.delete(title);
|
const next = new Set(prev);
|
||||||
|
|
||||||
else next.add(title);
|
if (next.has(title)) next.delete(title);
|
||||||
|
|
||||||
return next;
|
else next.add(title);
|
||||||
|
|
||||||
});
|
return next;
|
||||||
|
|
||||||
};
|
});
|
||||||
|
|
||||||
|
};
|
||||||
|
|
||||||
const handleLogout = () => {
|
|
||||||
|
|
||||||
logout();
|
const handleLogout = () => {
|
||||||
|
|
||||||
navigate('/');
|
logout();
|
||||||
|
|
||||||
};
|
navigate('/');
|
||||||
|
|
||||||
|
};
|
||||||
|
|
||||||
const handleVisitFrontend = () => {
|
|
||||||
|
|
||||||
const url = window.location.origin + '/chat';
|
const handleVisitFrontend = () => {
|
||||||
|
|
||||||
window.open(url, '_blank');
|
const url = window.location.origin + '/chat';
|
||||||
|
|
||||||
};
|
window.open(url, '_blank');
|
||||||
|
|
||||||
|
};
|
||||||
|
|
||||||
return (
|
|
||||||
|
|
||||||
<div className="admin-layout">
|
return (
|
||||||
|
|
||||||
<aside className="admin-sidebar">
|
<div className="admin-layout">
|
||||||
|
|
||||||
<div className="admin-sidebar-header">
|
<aside className="admin-sidebar">
|
||||||
|
|
||||||
<h1 className="admin-logo">七虎AI</h1>
|
<div className="admin-sidebar-header">
|
||||||
|
|
||||||
<span className="admin-subtitle">管理控制台</span>
|
<h1 className="admin-logo">七虎AI</h1>
|
||||||
|
|
||||||
</div>
|
<span className="admin-subtitle">管理控制台</span>
|
||||||
|
|
||||||
<button onClick={handleVisitFrontend} className="admin-frontend-link">
|
</div>
|
||||||
|
|
||||||
<svg width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="2" strokeLinecap="round" strokeLinejoin="round"><path d="M18 13v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h6"/><polyline points="15 3 21 3 21 9"/><line x1="10" y1="14" x2="21" y2="3"/></svg>
|
<button onClick={handleVisitFrontend} className="admin-frontend-link">
|
||||||
|
|
||||||
<span>访问前台</span>
|
<svg width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="2" strokeLinecap="round" strokeLinejoin="round"><path d="M18 13v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h6"/><polyline points="15 3 21 3 21 9"/><line x1="10" y1="14" x2="21" y2="3"/></svg>
|
||||||
|
|
||||||
</button>
|
<span>访问前台</span>
|
||||||
|
|
||||||
<nav className="sidebar-nav">
|
</button>
|
||||||
|
|
||||||
{adminNavGroups.map((group) => {
|
<nav className="sidebar-nav">
|
||||||
|
|
||||||
const isExpanded = expandedGroups.has(group.title);
|
{adminNavGroups.map((group) => {
|
||||||
|
|
||||||
const hasActiveChild = group.items.some(item =>
|
const isExpanded = expandedGroups.has(group.title);
|
||||||
|
|
||||||
item.exact ? location.pathname === item.path : location.pathname.startsWith(item.path)
|
const hasActiveChild = group.items.some(item =>
|
||||||
|
|
||||||
);
|
item.exact ? location.pathname === item.path : location.pathname.startsWith(item.path)
|
||||||
|
|
||||||
return (
|
);
|
||||||
|
|
||||||
<div key={group.title} className={`nav-group ${hasActiveChild ? 'nav-group-active' : ''}`}>
|
return (
|
||||||
|
|
||||||
<div
|
<div key={group.title} className={`nav-group ${hasActiveChild ? 'nav-group-active' : ''}`}>
|
||||||
|
|
||||||
className={`nav-group-header ${isExpanded ? 'expanded' : ''}`}
|
<div
|
||||||
|
|
||||||
onClick={() => toggleGroup(group.title)}
|
className={`nav-group-header ${isExpanded ? 'expanded' : ''}`}
|
||||||
|
|
||||||
>
|
onClick={() => toggleGroup(group.title)}
|
||||||
|
|
||||||
<span className="nav-group-chevron-wrap">
|
>
|
||||||
|
|
||||||
<span className={`nav-group-chevron ${isExpanded ? 'chevron-expanded' : ''}`}>
|
<span className="nav-group-chevron-wrap">
|
||||||
|
|
||||||
{adminIconPaths.chevron}
|
<span className={`nav-group-chevron ${isExpanded ? 'chevron-expanded' : ''}`}>
|
||||||
|
|
||||||
</span>
|
{adminIconPaths.chevron}
|
||||||
|
|
||||||
</span>
|
</span>
|
||||||
|
|
||||||
<span className="nav-group-title">{group.title}</span>
|
</span>
|
||||||
|
|
||||||
</div>
|
<span className="nav-group-title">{group.title}</span>
|
||||||
|
|
||||||
{isExpanded && (
|
</div>
|
||||||
|
|
||||||
<div className="nav-group-items">
|
{isExpanded && (
|
||||||
|
|
||||||
{group.items.map((item) => (
|
<div className="nav-group-items">
|
||||||
|
|
||||||
<NavLink
|
{group.items.map((item) => (
|
||||||
|
|
||||||
key={item.path}
|
<NavLink
|
||||||
|
|
||||||
to={item.path}
|
key={item.path}
|
||||||
|
|
||||||
end={item.exact}
|
to={item.path}
|
||||||
|
|
||||||
className={({ isActive }) =>
|
end={item.exact}
|
||||||
|
|
||||||
`nav-item ${isActive ? 'nav-item-active' : ''}`
|
className={({ isActive }) =>
|
||||||
|
|
||||||
}
|
`nav-item ${isActive ? 'nav-item-active' : ''}`
|
||||||
|
|
||||||
>
|
}
|
||||||
|
|
||||||
<span className="nav-item-icon">{adminIconPaths[item.icon]}</span>
|
>
|
||||||
|
|
||||||
<span className="nav-item-label">{item.label}</span>
|
<span className="nav-item-icon">{adminIconPaths[item.icon]}</span>
|
||||||
|
|
||||||
</NavLink>
|
<span className="nav-item-label">{item.label}</span>
|
||||||
|
|
||||||
))}
|
</NavLink>
|
||||||
|
|
||||||
</div>
|
))}
|
||||||
|
|
||||||
)}
|
</div>
|
||||||
|
|
||||||
</div>
|
)}
|
||||||
|
|
||||||
);
|
</div>
|
||||||
|
|
||||||
})}
|
);
|
||||||
|
|
||||||
</nav>
|
})}
|
||||||
|
|
||||||
<div className="admin-sidebar-footer">
|
</nav>
|
||||||
|
|
||||||
<div className="admin-user-info">
|
<div className="admin-sidebar-footer">
|
||||||
|
|
||||||
<div className="admin-user-avatar">{user?.username?.[0]?.toUpperCase() || 'A'}</div>
|
<div className="admin-user-info">
|
||||||
|
|
||||||
<div className="admin-user-detail">
|
<div className="admin-user-avatar">{user?.username?.[0]?.toUpperCase() || 'A'}</div>
|
||||||
|
|
||||||
<div className="admin-user-name">{user?.username || 'admin'}</div>
|
<div className="admin-user-detail">
|
||||||
|
|
||||||
<button className="admin-logout-btn" onClick={handleLogout}>退出登录</button>
|
<div className="admin-user-name">{user?.username || 'admin'}</div>
|
||||||
|
|
||||||
</div>
|
<button className="admin-logout-btn" onClick={handleLogout}>退出登录</button>
|
||||||
|
|
||||||
</div>
|
</div>
|
||||||
|
|
||||||
</div>
|
</div>
|
||||||
|
|
||||||
</aside>
|
</div>
|
||||||
|
|
||||||
<main className="admin-content">
|
</aside>
|
||||||
|
|
||||||
<header className="admin-topbar">
|
<main className="admin-content">
|
||||||
|
|
||||||
<nav className="admin-breadcrumb" aria-label="breadcrumb">
|
<header className="admin-topbar">
|
||||||
|
|
||||||
<span className="crumb-root">管理控制台</span>
|
<nav className="admin-breadcrumb" aria-label="breadcrumb">
|
||||||
|
|
||||||
{navGroup && (<><span className="crumb-sep">/</span><span className="crumb-group">{navGroup}</span></>)}
|
<span className="crumb-root">管理控制台</span>
|
||||||
|
|
||||||
{navLabel && (<><span className="crumb-sep">/</span><span className="crumb-current">{navLabel}</span></>)}
|
{navGroup && (<><span className="crumb-sep">/</span><span className="crumb-group">{navGroup}</span></>)}
|
||||||
|
|
||||||
</nav>
|
{navLabel && (<><span className="crumb-sep">/</span><span className="crumb-current">{navLabel}</span></>)}
|
||||||
|
|
||||||
<div className="admin-topbar-user">
|
</nav>
|
||||||
|
|
||||||
<div className="admin-user-avatar sm">{user?.username?.[0]?.toUpperCase() || 'A'}</div>
|
<div className="admin-topbar-user">
|
||||||
|
|
||||||
<span className="admin-topbar-username">{user?.username || 'admin'}</span>
|
<div className="admin-user-avatar sm">{user?.username?.[0]?.toUpperCase() || 'A'}</div>
|
||||||
|
|
||||||
</div>
|
<span className="admin-topbar-username">{user?.username || 'admin'}</span>
|
||||||
|
|
||||||
</header>
|
</div>
|
||||||
|
|
||||||
<Outlet />
|
</header>
|
||||||
|
|
||||||
</main>
|
<Outlet />
|
||||||
|
|
||||||
</div>
|
</main>
|
||||||
|
|
||||||
);
|
</div>
|
||||||
|
|
||||||
};
|
);
|
||||||
|
|
||||||
|
};
|
||||||
|
|
||||||
export default AdminLayout;
|
|
||||||
|
|
||||||
|
export default AdminLayout;
|
||||||
|
|
||||||
@@ -0,0 +1,165 @@
|
|||||||
|
import { useEffect, useState } from 'react';
|
||||||
|
import { adminAPI } from '@/api';
|
||||||
|
|
||||||
|
interface Summary {
|
||||||
|
totals: { calls: number; tokens: number; cost: number; users: number };
|
||||||
|
by_model: { model_name: string; calls: number; tokens: number; cost: number }[];
|
||||||
|
by_user: { user_id: string; username: string; calls: number; tokens: number; cost: number }[];
|
||||||
|
daily: { date: string; tokens: number; cost: number; calls: number }[];
|
||||||
|
recent: { trace_id: string | null; model_name: string; tokens: number; cost: number; created_at: string | null }[];
|
||||||
|
}
|
||||||
|
|
||||||
|
const ACCENT = '#5B5FED';
|
||||||
|
const ACCENT_HOVER = '#4A4ECC';
|
||||||
|
|
||||||
|
export default function Observability() {
|
||||||
|
const [days, setDays] = useState(30);
|
||||||
|
const [data, setData] = useState<Summary | null>(null);
|
||||||
|
const [loading, setLoading] = useState(false);
|
||||||
|
const [err, setErr] = useState('');
|
||||||
|
|
||||||
|
useEffect(() => {
|
||||||
|
let alive = true;
|
||||||
|
setLoading(true);
|
||||||
|
setErr('');
|
||||||
|
adminAPI.getObservabilitySummary(days)
|
||||||
|
.then((d: Summary) => { if (alive) setData(d); })
|
||||||
|
.catch((e: any) => { if (alive) setErr(e?.message || '加载失败'); })
|
||||||
|
.finally(() => { if (alive) setLoading(false); });
|
||||||
|
return () => { alive = false; };
|
||||||
|
}, [days]);
|
||||||
|
|
||||||
|
const maxTokens = data ? Math.max(1, ...data.daily.map(d => d.tokens)) : 1;
|
||||||
|
const maxModel = data ? Math.max(1, ...data.by_model.map(m => m.tokens)) : 1;
|
||||||
|
const fmt = (n: number) => n.toLocaleString('zh-CN');
|
||||||
|
const fmtCost = (n: number) => `¥${n.toFixed(4)}`;
|
||||||
|
|
||||||
|
const card: React.CSSProperties = {
|
||||||
|
background: '#fff', border: '1px solid #eceef5', borderRadius: 16,
|
||||||
|
padding: 20, boxShadow: '0 1px 3px rgba(20,30,60,0.04)', marginBottom: 18,
|
||||||
|
};
|
||||||
|
const stat: React.CSSProperties = {
|
||||||
|
flex: 1, minWidth: 150, background: '#fff', border: '1px solid #eceef5',
|
||||||
|
borderRadius: 16, padding: 18, boxShadow: '0 1px 3px rgba(20,30,60,0.04)',
|
||||||
|
};
|
||||||
|
|
||||||
|
return (
|
||||||
|
<div style={{ padding: 24, maxWidth: 1160, margin: '0 auto', color: '#1f2330' }}>
|
||||||
|
<div style={{ display: 'flex', alignItems: 'center', justifyContent: 'space-between', marginBottom: 20, flexWrap: 'wrap', gap: 12 }}>
|
||||||
|
<div>
|
||||||
|
<h2 style={{ margin: 0, fontSize: 22, fontWeight: 700 }}>调用可观测</h2>
|
||||||
|
<div style={{ color: '#8a90a2', fontSize: 13, marginTop: 4 }}>
|
||||||
|
媒体 / LLM 调用归因 · 基于 trace_id 关联请求链路(Phase 2.2)
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
<div style={{ display: 'flex', gap: 8 }}>
|
||||||
|
{[7, 30, 90].map(d => (
|
||||||
|
<button key={d} onClick={() => setDays(d)}
|
||||||
|
style={{
|
||||||
|
padding: '7px 14px', borderRadius: 10, cursor: 'pointer', fontSize: 13,
|
||||||
|
border: `1px solid ${days === d ? ACCENT : '#e2e5ee'}`,
|
||||||
|
background: days === d ? ACCENT : '#fff',
|
||||||
|
color: days === d ? '#fff' : '#5b6172', fontWeight: 600,
|
||||||
|
transition: 'all .15s',
|
||||||
|
}}>
|
||||||
|
{d} 天
|
||||||
|
</button>
|
||||||
|
))}
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
|
||||||
|
{err && <div style={{ ...card, borderColor: '#f3c2c2', color: '#c0392b' }}>{err}</div>}
|
||||||
|
{loading && !data && <div style={{ color: '#8a90a2' }}>加载中…</div>}
|
||||||
|
|
||||||
|
{data && (
|
||||||
|
<>
|
||||||
|
<div style={{ display: 'flex', gap: 14, flexWrap: 'wrap', marginBottom: 18 }}>
|
||||||
|
<div style={stat}><div style={{ color: '#8a90a2', fontSize: 12 }}>调用次数</div><div style={{ fontSize: 24, fontWeight: 700, marginTop: 6 }}>{fmt(data.totals.calls)}</div></div>
|
||||||
|
<div style={stat}><div style={{ color: '#8a90a2', fontSize: 12 }}>Token 消耗</div><div style={{ fontSize: 24, fontWeight: 700, marginTop: 6 }}>{fmt(data.totals.tokens)}</div></div>
|
||||||
|
<div style={stat}><div style={{ color: '#8a90a2', fontSize: 12 }}>成本</div><div style={{ fontSize: 24, fontWeight: 700, marginTop: 6, color: ACCENT }}>{fmtCost(data.totals.cost)}</div></div>
|
||||||
|
<div style={stat}><div style={{ color: '#8a90a2', fontSize: 12 }}>活跃用户</div><div style={{ fontSize: 24, fontWeight: 700, marginTop: 6 }}>{fmt(data.totals.users)}</div></div>
|
||||||
|
</div>
|
||||||
|
|
||||||
|
<div style={card}>
|
||||||
|
<h3 style={{ margin: '0 0 14px', fontSize: 16 }}>按模型</h3>
|
||||||
|
<div style={{ display: 'flex', flexDirection: 'column', gap: 10 }}>
|
||||||
|
{data.by_model.length === 0 && <div style={{ color: '#8a90a2', fontSize: 13 }}>暂无数据</div>}
|
||||||
|
{data.by_model.map(m => (
|
||||||
|
<div key={m.model_name} style={{ display: 'flex', alignItems: 'center', gap: 12 }}>
|
||||||
|
<div style={{ width: 150, fontSize: 13, fontWeight: 600, overflow: 'hidden', textOverflow: 'ellipsis', whiteSpace: 'nowrap' }}>{m.model_name}</div>
|
||||||
|
<div style={{ flex: 1, height: 10, background: '#f1f3f9', borderRadius: 6, overflow: 'hidden' }}>
|
||||||
|
<div style={{ width: `${(m.tokens / maxModel) * 100}%`, height: '100%', background: ACCENT, borderRadius: 6 }} />
|
||||||
|
</div>
|
||||||
|
<div style={{ width: 90, textAlign: 'right', fontSize: 13, color: '#5b6172' }}>{fmt(m.tokens)}</div>
|
||||||
|
<div style={{ width: 90, textAlign: 'right', fontSize: 13, color: ACCENT }}>{fmtCost(m.cost)}</div>
|
||||||
|
</div>
|
||||||
|
))}
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
|
||||||
|
<div style={card}>
|
||||||
|
<h3 style={{ margin: '0 0 14px', fontSize: 16 }}>每日趋势(Token)</h3>
|
||||||
|
<div style={{ display: 'flex', alignItems: 'flex-end', gap: 6, height: 140, overflowX: 'auto', paddingBottom: 4 }}>
|
||||||
|
{data.daily.length === 0 && <div style={{ color: '#8a90a2', fontSize: 13 }}>暂无数据</div>}
|
||||||
|
{data.daily.map(d => (
|
||||||
|
<div key={d.date} title={`${d.date} · ${fmt(d.tokens)} tokens · ${fmtCost(d.cost)}`}
|
||||||
|
style={{ display: 'flex', flexDirection: 'column', alignItems: 'center', gap: 4, minWidth: 22 }}>
|
||||||
|
<div style={{ width: 16, height: `${(d.tokens / maxTokens) * 110}px`, background: ACCENT, borderRadius: '4px 4px 0 0', opacity: 0.85 }} />
|
||||||
|
<div style={{ fontSize: 9, color: '#aab', transform: 'rotate(-45deg)', whiteSpace: 'nowrap' }}>{d.date.slice(5)}</div>
|
||||||
|
</div>
|
||||||
|
))}
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
|
||||||
|
<div style={{ display: 'flex', gap: 18, flexWrap: 'wrap' }}>
|
||||||
|
<div style={{ ...card, flex: 1, minWidth: 320 }}>
|
||||||
|
<h3 style={{ margin: '0 0 14px', fontSize: 16 }}>按用户(Top 20)</h3>
|
||||||
|
<table style={{ width: '100%', borderCollapse: 'collapse', fontSize: 13 }}>
|
||||||
|
<thead><tr style={{ color: '#8a90a2', textAlign: 'left' }}>
|
||||||
|
<th style={th}>用户</th><th style={thR}>调用</th><th style={thR}>Token</th><th style={thR}>成本</th>
|
||||||
|
</tr></thead>
|
||||||
|
<tbody>
|
||||||
|
{data.by_user.map(u => (
|
||||||
|
<tr key={u.user_id} style={{ borderTop: '1px solid #f1f3f9' }}>
|
||||||
|
<td style={td}>{u.username}</td>
|
||||||
|
<td style={tdR}>{fmt(u.calls)}</td>
|
||||||
|
<td style={tdR}>{fmt(u.tokens)}</td>
|
||||||
|
<td style={{ ...tdR, color: ACCENT }}>{fmtCost(u.cost)}</td>
|
||||||
|
</tr>
|
||||||
|
))}
|
||||||
|
{data.by_user.length === 0 && <tr><td colSpan={4} style={{ ...td, color: '#8a90a2' }}>暂无数据</td></tr>}
|
||||||
|
</tbody>
|
||||||
|
</table>
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
|
||||||
|
<div style={card}>
|
||||||
|
<h3 style={{ margin: '0 0 14px', fontSize: 16 }}>最近调用(trace_id 可下钻)</h3>
|
||||||
|
<table style={{ width: '100%', borderCollapse: 'collapse', fontSize: 13 }}>
|
||||||
|
<thead><tr style={{ color: '#8a90a2', textAlign: 'left' }}>
|
||||||
|
<th style={th}>Trace ID</th><th style={th}>模型</th><th style={thR}>Token</th><th style={thR}>成本</th><th style={thR}>时间</th>
|
||||||
|
</tr></thead>
|
||||||
|
<tbody>
|
||||||
|
{data.recent.map((r, i) => (
|
||||||
|
<tr key={(r.trace_id || '') + i} style={{ borderTop: '1px solid #f1f3f9' }}>
|
||||||
|
<td style={{ ...td, fontFamily: 'monospace', fontSize: 12, maxWidth: 200, overflow: 'hidden', textOverflow: 'ellipsis', whiteSpace: 'nowrap' }}>{r.trace_id || '—'}</td>
|
||||||
|
<td style={td}>{r.model_name}</td>
|
||||||
|
<td style={tdR}>{fmt(r.tokens)}</td>
|
||||||
|
<td style={{ ...tdR, color: ACCENT }}>{fmtCost(r.cost)}</td>
|
||||||
|
<td style={tdR}>{r.created_at || '—'}</td>
|
||||||
|
</tr>
|
||||||
|
))}
|
||||||
|
{data.recent.length === 0 && <tr><td colSpan={5} style={{ ...td, color: '#8a90a2' }}>暂无数据</td></tr>}
|
||||||
|
</tbody>
|
||||||
|
</table>
|
||||||
|
</div>
|
||||||
|
</>
|
||||||
|
)}
|
||||||
|
</div>
|
||||||
|
);
|
||||||
|
}
|
||||||
|
|
||||||
|
const th: React.CSSProperties = { padding: '8px 6px', fontWeight: 600, fontSize: 12 };
|
||||||
|
const thR: React.CSSProperties = { ...th, textAlign: 'right' };
|
||||||
|
const td: React.CSSProperties = { padding: '8px 6px' };
|
||||||
|
const tdR: React.CSSProperties = { ...td, textAlign: 'right', color: '#5b6172' };
|
||||||
@@ -0,0 +1,7 @@
|
|||||||
|
-- Phase 2.2: add trace_id to token_usage_logs for cost attribution (idempotent)
|
||||||
|
SET @db = DATABASE();
|
||||||
|
SET @col_exists = (SELECT COUNT(*) FROM information_schema.columns WHERE table_schema = @db AND table_name = 'token_usage_logs' AND column_name = 'trace_id');
|
||||||
|
SET @sql = IF(@col_exists = 0, 'ALTER TABLE token_usage_logs ADD COLUMN trace_id VARCHAR(64) NULL DEFAULT NULL', 'SELECT 1');
|
||||||
|
PREPARE stmt FROM @sql;
|
||||||
|
EXECUTE stmt;
|
||||||
|
DEALLOCATE PREPARE stmt;
|
||||||
@@ -0,0 +1,7 @@
|
|||||||
|
CREATE TABLE IF NOT EXISTS conversation_summaries (
|
||||||
|
conversation_id VARCHAR(64) NOT NULL,
|
||||||
|
summary_text TEXT NULL,
|
||||||
|
token_count INT NULL DEFAULT 0,
|
||||||
|
updated_at DATETIME(3) NULL,
|
||||||
|
PRIMARY KEY (conversation_id)
|
||||||
|
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
|
||||||
@@ -0,0 +1,115 @@
|
|||||||
|
"""Minimal CI gate for qihuaiflow.
|
||||||
|
|
||||||
|
This is the canonical, single-source-of-truth gate. It runs the two test
|
||||||
|
suites that guard production behavior, INSIDE the long-lived qihu-aiflow
|
||||||
|
container (our deployment model keeps the app running in a container, not
|
||||||
|
built fresh in CI):
|
||||||
|
|
||||||
|
1. backend pytest -> /app/backend/python/.venv/bin/python -m pytest -c pytest.ini
|
||||||
|
2. frontend vitest -> /app/frontend && npx vitest run
|
||||||
|
|
||||||
|
Exit codes:
|
||||||
|
0 all suites green -> deploy/push may proceed
|
||||||
|
1 a test suite failed -> BLOCK (do not deploy/push)
|
||||||
|
2 environment error -> docker missing or container not running
|
||||||
|
|
||||||
|
It auto-detects where it runs:
|
||||||
|
* If the qihu-aiflow container is reachable via LOCAL docker (i.e. on the
|
||||||
|
deploy host), it execs directly.
|
||||||
|
* Otherwise it falls back to ssh_helper (remote control from a laptop),
|
||||||
|
which reaches the host over SSH and execs into the container there.
|
||||||
|
|
||||||
|
Usage:
|
||||||
|
python scripts/ci_gate.py
|
||||||
|
"""
|
||||||
|
import os
|
||||||
|
import subprocess
|
||||||
|
import sys
|
||||||
|
|
||||||
|
CONTAINER = "qihu-aiflow"
|
||||||
|
|
||||||
|
BACKEND_CMD = "cd /app/backend/python && .venv/bin/python -m pytest -c pytest.ini -q"
|
||||||
|
FRONTEND_CMD = "cd /app/frontend && npx vitest run --reporter=dot"
|
||||||
|
|
||||||
|
|
||||||
|
def shell_quote(s: str) -> str:
|
||||||
|
return "'" + s.replace("'", "'\\''") + "'"
|
||||||
|
|
||||||
|
|
||||||
|
def local_runner(cmd: str):
|
||||||
|
"""Run via local docker (deploy host)."""
|
||||||
|
p = subprocess.run(cmd, shell=True, capture_output=True, text=True)
|
||||||
|
return p.stdout, p.stderr, p.returncode
|
||||||
|
|
||||||
|
|
||||||
|
def get_runner():
|
||||||
|
# Prefer local docker ONLY if the actual container is reachable here
|
||||||
|
# (avoids a Windows-docker edge case where `docker ps` works but the
|
||||||
|
# qihu-aiflow container lives on a different host).
|
||||||
|
try:
|
||||||
|
r = subprocess.run(
|
||||||
|
"docker ps --format '{{.Names}}'",
|
||||||
|
shell=True, capture_output=True, text=True, timeout=10,
|
||||||
|
)
|
||||||
|
if r.returncode == 0 and CONTAINER in r.stdout.split():
|
||||||
|
return local_runner
|
||||||
|
except Exception:
|
||||||
|
pass
|
||||||
|
# Fall back to SSH control of the real host.
|
||||||
|
try:
|
||||||
|
import ssh_helper as s # type: ignore
|
||||||
|
return lambda cmd: s.run(cmd)
|
||||||
|
except Exception as e: # pragma: no cover
|
||||||
|
print(f"[CI Gate] ERROR: docker unavailable locally and ssh_helper missing: {e}",
|
||||||
|
file=sys.stderr)
|
||||||
|
sys.exit(2)
|
||||||
|
|
||||||
|
|
||||||
|
def run_in_container(runner, cmd: str):
|
||||||
|
return runner(f"docker exec {CONTAINER} bash -c {shell_quote(cmd)}")
|
||||||
|
|
||||||
|
|
||||||
|
def container_up(runner) -> bool:
|
||||||
|
out, _, _ = runner(f"docker ps --format {shell_quote('{{.Names}}')}")
|
||||||
|
return CONTAINER in out.split()
|
||||||
|
|
||||||
|
|
||||||
|
def main():
|
||||||
|
runner = get_runner()
|
||||||
|
if not container_up(runner):
|
||||||
|
print(f"[CI Gate] ERROR: container {CONTAINER} is not running", file=sys.stderr)
|
||||||
|
sys.exit(2)
|
||||||
|
|
||||||
|
failures = []
|
||||||
|
|
||||||
|
print("=== [CI Gate] backend pytest ===")
|
||||||
|
o, e, rc = run_in_container(runner, BACKEND_CMD)
|
||||||
|
sys.stdout.write(o)
|
||||||
|
if e.strip():
|
||||||
|
print("STDERR:", e.strip(), file=sys.stderr)
|
||||||
|
if rc != 0:
|
||||||
|
failures.append("backend pytest")
|
||||||
|
print(f"[CI Gate] backend pytest FAILED (rc={rc})", file=sys.stderr)
|
||||||
|
else:
|
||||||
|
print("[CI Gate] backend pytest OK")
|
||||||
|
|
||||||
|
print("=== [CI Gate] frontend vitest ===")
|
||||||
|
o, e, rc = run_in_container(runner, FRONTEND_CMD)
|
||||||
|
sys.stdout.write(o)
|
||||||
|
if e.strip():
|
||||||
|
print("STDERR:", e.strip(), file=sys.stderr)
|
||||||
|
if rc != 0:
|
||||||
|
failures.append("frontend vitest")
|
||||||
|
print(f"[CI Gate] frontend vitest FAILED (rc={rc})", file=sys.stderr)
|
||||||
|
else:
|
||||||
|
print("[CI Gate] frontend vitest OK")
|
||||||
|
|
||||||
|
if failures:
|
||||||
|
print(f"\n[CI Gate] BLOCKED - failed: {', '.join(failures)}", file=sys.stderr)
|
||||||
|
sys.exit(1)
|
||||||
|
print("\n[CI Gate] PASSED - all suites green")
|
||||||
|
sys.exit(0)
|
||||||
|
|
||||||
|
|
||||||
|
if __name__ == "__main__":
|
||||||
|
main()
|
||||||
@@ -0,0 +1,42 @@
|
|||||||
|
#!/usr/bin/env bash
|
||||||
|
# qihuaiflow minimal CI gate - git pre-push hook.
|
||||||
|
#
|
||||||
|
# Runs backend pytest + frontend vitest INSIDE the long-lived qihu-aiflow
|
||||||
|
# container before any `git push` leaves this host. If a suite fails the
|
||||||
|
# push is blocked (exit non-zero), so a broken tree can never be published.
|
||||||
|
#
|
||||||
|
# Install (on the deploy host, inside the repo):
|
||||||
|
# cp scripts/git-hooks/pre-push .git/hooks/pre-push
|
||||||
|
# chmod +x .git/hooks/pre-push
|
||||||
|
#
|
||||||
|
# This is a self-contained bash gate (no python dependency on the host).
|
||||||
|
# The canonical, documented version lives in scripts/ci_gate.py.
|
||||||
|
set -uo pipefail
|
||||||
|
|
||||||
|
CONTAINER="qihu-aiflow"
|
||||||
|
|
||||||
|
if ! docker ps --format '{{.Names}}' | grep -qx "$CONTAINER"; then
|
||||||
|
echo "[CI Gate] ERROR: container $CONTAINER is not running - aborting push" >&2
|
||||||
|
exit 2
|
||||||
|
fi
|
||||||
|
|
||||||
|
echo "=== [CI Gate] backend pytest ==="
|
||||||
|
docker exec "$CONTAINER" bash -c 'cd /app/backend/python && .venv/bin/python -m pytest -c pytest.ini -q'
|
||||||
|
backend_rc=$?
|
||||||
|
if [ "$backend_rc" -ne 0 ]; then
|
||||||
|
echo "[CI Gate] backend pytest FAILED (rc=$backend_rc) - push blocked" >&2
|
||||||
|
exit 1
|
||||||
|
fi
|
||||||
|
echo "[CI Gate] backend pytest OK"
|
||||||
|
|
||||||
|
echo "=== [CI Gate] frontend vitest ==="
|
||||||
|
docker exec "$CONTAINER" bash -c 'cd /app/frontend && npx vitest run --reporter=dot'
|
||||||
|
frontend_rc=$?
|
||||||
|
if [ "$frontend_rc" -ne 0 ]; then
|
||||||
|
echo "[CI Gate] frontend vitest FAILED (rc=$frontend_rc) - push blocked" >&2
|
||||||
|
exit 1
|
||||||
|
fi
|
||||||
|
echo "[CI Gate] frontend vitest OK"
|
||||||
|
|
||||||
|
echo "[CI Gate] PASSED - all suites green - push allowed"
|
||||||
|
exit 0
|
||||||
Reference in new issue
Block a user