feat(observability): Phase2.3 媒体/LLM 可观测面板(后端归因聚合+前端页) 并修复 token_usage_logs trace_id 写入(chat_service/im_llm) [v2026.07.19.5]
CI / gate (push) Has been cancelled
CI / gate (push) Has been cancelled
This commit is contained in:
QihuAI Design committed
1 parent
491f31cead
commit
2969544d54
9 files changed
+3357
-3079
No files matched your search
@@ -0,0 +1,103 @@
|
||||
"""调用可观测面板后端 API（媒体/LLM 调用归因）。
|
||||
路由前缀: /app/api/admin/observability
|
||||
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）。
|
||||
"""
|
||||
from datetime import datetime, timedelta
|
||||
|
||||
from fastapi import APIRouter, Query, Depends
|
||||
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(
|
||||
days: int = Query(30, description="统计天数"),
|
||||
db: Session = Depends(get_db),
|
||||
user=Depends(get_current_user),
|
||||
):
|
||||
"""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)
|
||||
|
||||
totals = db.execute(text("""
|
||||
SELECT COUNT(*),
|
||||
COALESCE(SUM(total_tokens), 0),
|
||||
COALESCE(SUM(cost), 0),
|
||||
COUNT(DISTINCT user_id)
|
||||
FROM token_usage_logs WHERE created_at >= :since
|
||||
"""), {"since": since}).fetchone()
|
||||
|
||||
by_model = db.execute(text("""
|
||||
SELECT model_name, COUNT(*), COALESCE(SUM(total_tokens), 0), COALESCE(SUM(cost), 0)
|
||||
FROM token_usage_logs WHERE created_at >= :since
|
||||
GROUP BY model_name ORDER BY COALESCE(SUM(total_tokens), 0) DESC
|
||||
"""), {"since": since}).fetchall()
|
||||
|
||||
by_user = db.execute(text("""
|
||||
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
|
||||
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()
|
||||
|
||||
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
|
||||
],
|
||||
}
|
||||
@@ -16,7 +16,7 @@ import httpx
|
||||
import os
|
||||
import logging
|
||||
from ..database import get_db, SessionLocal
|
||||
from app.core.observability import span
|
||||
from app.core.observability import span, get_trace_id
|
||||
from ..models import (
|
||||
|
||||
|
||||
@@ -1743,6 +1743,8 @@ async def _send_message_core(
|
||||
|
||||
|
||||
conversation_id=conv_id,
|
||||
trace_id=get_trace_id(),
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
+234
-232
@@ -1,232 +1,234 @@
|
||||
"""
|
||||
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。
|
||||
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）：
|
||||
- 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。
|
||||
- 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。
|
||||
- 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。
|
||||
"""
|
||||
import asyncio
|
||||
import json
|
||||
import logging
|
||||
import re as _re
|
||||
from datetime import datetime, timezone, timedelta
|
||||
from typing import Optional
|
||||
from urllib.parse import urlparse as _urlparse
|
||||
|
||||
import httpx
|
||||
from sqlalchemy.orm import Session
|
||||
|
||||
from ..capability_registry import resolve_auto_model
|
||||
from ..models import AIModel, ModelProvider, TokenUsageLog, gen_uuid
|
||||
|
||||
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"
|
||||
|
||||
|
||||
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。
|
||||
"""
|
||||
import os
|
||||
host = (_urlparse(url).hostname or "").lower()
|
||||
if "agnes-ai.com" in host or "agnes-ai.space" in host:
|
||||
return _HK_PROXY
|
||||
if "qihuyun.com" in host:
|
||||
return None
|
||||
_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 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。
|
||||
|
||||
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）。
|
||||
"""
|
||||
try:
|
||||
loop = asyncio.get_running_loop()
|
||||
except RuntimeError:
|
||||
loop = None
|
||||
|
||||
if timeout is not None:
|
||||
async def _timed():
|
||||
return await asyncio.wait_for(coro, timeout=timeout)
|
||||
target = _timed()
|
||||
else:
|
||||
target = coro
|
||||
|
||||
if loop is not None and loop.is_running():
|
||||
import concurrent.futures
|
||||
with concurrent.futures.ThreadPoolExecutor(1) as ex:
|
||||
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。
|
||||
|
||||
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
|
||||
try:
|
||||
base = 1200 if media_type == "video" else 400
|
||||
est = base + (len(prompt or "") // 4)
|
||||
db.add(TokenUsageLog(
|
||||
id=gen_uuid(),
|
||||
user_id=user_id,
|
||||
model_id=ai_model.id,
|
||||
model_name=ai_model.name,
|
||||
prompt_tokens=est,
|
||||
completion_tokens=0,
|
||||
total_tokens=est,
|
||||
created_at=datetime.now(timezone(timedelta(hours=8))).replace(tzinfo=None),
|
||||
))
|
||||
db.commit()
|
||||
except Exception as e:
|
||||
try:
|
||||
db.rollback()
|
||||
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:
|
||||
from app.api.chat import (
|
||||
_generate_media,
|
||||
detect_media_intent,
|
||||
_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:
|
||||
ai_model = resolve_auto_model(intent, db)
|
||||
if ai_model:
|
||||
try:
|
||||
result = _run_async(_generate_media(db, ai_model, prompt, user_id), timeout=300)
|
||||
except Exception:
|
||||
# 任何未预期异常(如 AGNES 连接重置)统一兜底为友好提示，
|
||||
# 绝不直接把原始异常(如 "Server disconnected")甩给用户
|
||||
result = "⚠️ 媒体生成暂时失败（连接或服务波动），请稍后重试。"
|
||||
if result:
|
||||
# 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
|
||||
s = result.strip()
|
||||
if s.startswith("<img") or s.startswith("<video"):
|
||||
m = _re.search(r'src="([^"]+)"', s)
|
||||
url = m.group(1) if m else ""
|
||||
media_type = "image" if s.startswith("<img") else "video"
|
||||
if not url:
|
||||
return "（生成完成，但未能提取媒体地址）"
|
||||
# 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
|
||||
_log_media_usage(db, user_id, ai_model, media_type, prompt)
|
||||
return {"__media__": True, "media_type": media_type, "url": url}
|
||||
# 媒体生成失败：_generate_media 已返回友好中文（如限频/队列繁忙），
|
||||
# 直接透传，绝不把原始提示词/标签/JSON 透传给用户
|
||||
if s.startswith("⚠️") or s.startswith("（媒体"):
|
||||
return s
|
||||
return "（媒体生成未能返回有效内容，请重试）"
|
||||
|
||||
# ===== 2) 文本回复 + 技能自动发现（Issue 8）=====
|
||||
ai_model = resolve_auto_model("text", db)
|
||||
if not ai_model:
|
||||
return "（未配置默认文本模型，无法生成回复）"
|
||||
provider = db.query(ModelProvider).filter(ModelProvider.id == ai_model.provider_id).first()
|
||||
api_key = ai_model.api_key or (provider.api_key if provider else None)
|
||||
api_url = ai_model.endpoint
|
||||
if not api_url and provider and provider.api_base_url:
|
||||
api_url = f"{provider.api_base_url.rstrip('/')}/v1/chat/completions"
|
||||
if not (api_key and api_url):
|
||||
return "（模型未配置 API Key 或地址，无法生成回复）"
|
||||
|
||||
# 自动发现本账号已安装且平台已部署的技能
|
||||
skills = []
|
||||
if user_id:
|
||||
try:
|
||||
skills = _discover_installed_skills(db, user_id)[:15]
|
||||
except Exception:
|
||||
skills = []
|
||||
|
||||
system_prompt, function_definitions = _build_system_prompt(
|
||||
skills=skills,
|
||||
agents=[],
|
||||
kb_context="",
|
||||
user_content=prompt,
|
||||
mcp=[],
|
||||
auto_discovered=bool(skills),
|
||||
)
|
||||
messages = [
|
||||
{"role": "system", "content": system_prompt},
|
||||
{"role": "user", "content": prompt},
|
||||
]
|
||||
|
||||
max_rounds = 3
|
||||
ai_content = ""
|
||||
for _ in range(max_rounds):
|
||||
request_body = {"model": ai_model.name, "messages": messages, "max_tokens": 2048}
|
||||
if function_definitions and skills:
|
||||
request_body["tools"] = [
|
||||
{"type": "function", "function": fd} for fd in function_definitions
|
||||
]
|
||||
request_body["tool_choice"] = "auto"
|
||||
with httpx.Client(
|
||||
timeout=ai_model.timeout or 120,
|
||||
proxy=_proxy_for_url(api_url),
|
||||
trust_env=False,
|
||||
) as client:
|
||||
resp = client.post(
|
||||
api_url,
|
||||
headers={"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"},
|
||||
json=request_body,
|
||||
)
|
||||
if resp.status_code != 200:
|
||||
return f"（AI 模型调用失败 HTTP {resp.status_code}）"
|
||||
data = resp.json()
|
||||
message = data.get("choices", [{}])[0].get("message", {})
|
||||
tool_calls = message.get("tool_calls", [])
|
||||
if tool_calls and skills:
|
||||
messages.append({
|
||||
"role": "assistant",
|
||||
"content": message.get("content") or "",
|
||||
"tool_calls": tool_calls,
|
||||
})
|
||||
for tc in tool_calls:
|
||||
func_name = tc.get("function", {}).get("name", "")
|
||||
try:
|
||||
func_args = json.loads(tc.get("function", {}).get("arguments", "{}"))
|
||||
except Exception:
|
||||
func_args = {"input": tc.get("function", {}).get("arguments", "")}
|
||||
tool_result = _execute_skill_tool(db, func_name, func_args, skills, prompt)
|
||||
messages.append({
|
||||
"role": "tool",
|
||||
"tool_call_id": tc.get("id", "call_1"),
|
||||
"content": tool_result,
|
||||
})
|
||||
continue
|
||||
ai_content = message.get("content", "")
|
||||
break
|
||||
return ai_content or "（AI 回复为空）"
|
||||
except Exception as e:
|
||||
return f"（AI 回复生成失败：{e}）"
|
||||
"""
|
||||
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。
|
||||
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）：
|
||||
- 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。
|
||||
- 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。
|
||||
- 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。
|
||||
"""
|
||||
import asyncio
|
||||
import json
|
||||
import logging
|
||||
import re as _re
|
||||
from datetime import datetime, timezone, timedelta
|
||||
from typing import Optional
|
||||
from urllib.parse import urlparse as _urlparse
|
||||
|
||||
import httpx
|
||||
from sqlalchemy.orm import Session
|
||||
|
||||
from ..capability_registry import resolve_auto_model
|
||||
from ..models import AIModel, ModelProvider, TokenUsageLog, gen_uuid
|
||||
from app.core.observability import get_trace_id
|
||||
|
||||
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"
|
||||
|
||||
|
||||
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。
|
||||
"""
|
||||
import os
|
||||
host = (_urlparse(url).hostname or "").lower()
|
||||
if "agnes-ai.com" in host or "agnes-ai.space" in host:
|
||||
return _HK_PROXY
|
||||
if "qihuyun.com" in host:
|
||||
return None
|
||||
_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 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。
|
||||
|
||||
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）。
|
||||
"""
|
||||
try:
|
||||
loop = asyncio.get_running_loop()
|
||||
except RuntimeError:
|
||||
loop = None
|
||||
|
||||
if timeout is not None:
|
||||
async def _timed():
|
||||
return await asyncio.wait_for(coro, timeout=timeout)
|
||||
target = _timed()
|
||||
else:
|
||||
target = coro
|
||||
|
||||
if loop is not None and loop.is_running():
|
||||
import concurrent.futures
|
||||
with concurrent.futures.ThreadPoolExecutor(1) as ex:
|
||||
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。
|
||||
|
||||
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
|
||||
try:
|
||||
base = 1200 if media_type == "video" else 400
|
||||
est = base + (len(prompt or "") // 4)
|
||||
db.add(TokenUsageLog(
|
||||
id=gen_uuid(),
|
||||
user_id=user_id,
|
||||
model_id=ai_model.id,
|
||||
model_name=ai_model.name,
|
||||
trace_id=get_trace_id(),
|
||||
prompt_tokens=est,
|
||||
completion_tokens=0,
|
||||
total_tokens=est,
|
||||
created_at=datetime.now(timezone(timedelta(hours=8))).replace(tzinfo=None),
|
||||
))
|
||||
db.commit()
|
||||
except Exception as e:
|
||||
try:
|
||||
db.rollback()
|
||||
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:
|
||||
from app.api.chat import (
|
||||
_generate_media,
|
||||
detect_media_intent,
|
||||
_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:
|
||||
ai_model = resolve_auto_model(intent, db)
|
||||
if ai_model:
|
||||
try:
|
||||
result = _run_async(_generate_media(db, ai_model, prompt, user_id), timeout=300)
|
||||
except Exception:
|
||||
# 任何未预期异常(如 AGNES 连接重置)统一兜底为友好提示，
|
||||
# 绝不直接把原始异常(如 "Server disconnected")甩给用户
|
||||
result = "⚠️ 媒体生成暂时失败（连接或服务波动），请稍后重试。"
|
||||
if result:
|
||||
# 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
|
||||
s = result.strip()
|
||||
if s.startswith("<img") or s.startswith("<video"):
|
||||
m = _re.search(r'src="([^"]+)"', s)
|
||||
url = m.group(1) if m else ""
|
||||
media_type = "image" if s.startswith("<img") else "video"
|
||||
if not url:
|
||||
return "（生成完成，但未能提取媒体地址）"
|
||||
# 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
|
||||
_log_media_usage(db, user_id, ai_model, media_type, prompt)
|
||||
return {"__media__": True, "media_type": media_type, "url": url}
|
||||
# 媒体生成失败：_generate_media 已返回友好中文（如限频/队列繁忙），
|
||||
# 直接透传，绝不把原始提示词/标签/JSON 透传给用户
|
||||
if s.startswith("⚠️") or s.startswith("（媒体"):
|
||||
return s
|
||||
return "（媒体生成未能返回有效内容，请重试）"
|
||||
|
||||
# ===== 2) 文本回复 + 技能自动发现（Issue 8）=====
|
||||
ai_model = resolve_auto_model("text", db)
|
||||
if not ai_model:
|
||||
return "（未配置默认文本模型，无法生成回复）"
|
||||
provider = db.query(ModelProvider).filter(ModelProvider.id == ai_model.provider_id).first()
|
||||
api_key = ai_model.api_key or (provider.api_key if provider else None)
|
||||
api_url = ai_model.endpoint
|
||||
if not api_url and provider and provider.api_base_url:
|
||||
api_url = f"{provider.api_base_url.rstrip('/')}/v1/chat/completions"
|
||||
if not (api_key and api_url):
|
||||
return "（模型未配置 API Key 或地址，无法生成回复）"
|
||||
|
||||
# 自动发现本账号已安装且平台已部署的技能
|
||||
skills = []
|
||||
if user_id:
|
||||
try:
|
||||
skills = _discover_installed_skills(db, user_id)[:15]
|
||||
except Exception:
|
||||
skills = []
|
||||
|
||||
system_prompt, function_definitions = _build_system_prompt(
|
||||
skills=skills,
|
||||
agents=[],
|
||||
kb_context="",
|
||||
user_content=prompt,
|
||||
mcp=[],
|
||||
auto_discovered=bool(skills),
|
||||
)
|
||||
messages = [
|
||||
{"role": "system", "content": system_prompt},
|
||||
{"role": "user", "content": prompt},
|
||||
]
|
||||
|
||||
max_rounds = 3
|
||||
ai_content = ""
|
||||
for _ in range(max_rounds):
|
||||
request_body = {"model": ai_model.name, "messages": messages, "max_tokens": 2048}
|
||||
if function_definitions and skills:
|
||||
request_body["tools"] = [
|
||||
{"type": "function", "function": fd} for fd in function_definitions
|
||||
]
|
||||
request_body["tool_choice"] = "auto"
|
||||
with httpx.Client(
|
||||
timeout=ai_model.timeout or 120,
|
||||
proxy=_proxy_for_url(api_url),
|
||||
trust_env=False,
|
||||
) as client:
|
||||
resp = client.post(
|
||||
api_url,
|
||||
headers={"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"},
|
||||
json=request_body,
|
||||
)
|
||||
if resp.status_code != 200:
|
||||
return f"（AI 模型调用失败 HTTP {resp.status_code}）"
|
||||
data = resp.json()
|
||||
message = data.get("choices", [{}])[0].get("message", {})
|
||||
tool_calls = message.get("tool_calls", [])
|
||||
if tool_calls and skills:
|
||||
messages.append({
|
||||
"role": "assistant",
|
||||
"content": message.get("content") or "",
|
||||
"tool_calls": tool_calls,
|
||||
})
|
||||
for tc in tool_calls:
|
||||
func_name = tc.get("function", {}).get("name", "")
|
||||
try:
|
||||
func_args = json.loads(tc.get("function", {}).get("arguments", "{}"))
|
||||
except Exception:
|
||||
func_args = {"input": tc.get("function", {}).get("arguments", "")}
|
||||
tool_result = _execute_skill_tool(db, func_name, func_args, skills, prompt)
|
||||
messages.append({
|
||||
"role": "tool",
|
||||
"tool_call_id": tc.get("id", "call_1"),
|
||||
"content": tool_result,
|
||||
})
|
||||
continue
|
||||
ai_content = message.get("content", "")
|
||||
break
|
||||
return ai_content or "（AI 回复为空）"
|
||||
except Exception as e:
|
||||
return f"（AI 回复生成失败：{e}）"
|
||||
+250
-249
@@ -1,249 +1,250 @@
|
||||
"""
|
||||
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
|
||||
"""
|
||||
import sys
|
||||
import os
|
||||
import time
|
||||
import uuid
|
||||
import logging
|
||||
from contextlib import asynccontextmanager
|
||||
from fastapi import FastAPI, Request
|
||||
from fastapi.middleware.cors import CORSMiddleware
|
||||
from starlette.middleware.base import BaseHTTPMiddleware
|
||||
from datetime import datetime
|
||||
|
||||
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.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.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.portal import user_portal
|
||||
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 import asset_admin, achievement_admin
|
||||
from app.config import setup_file_logging, SLOW_REQUEST_THRESHOLD
|
||||
from app.core.observability import set_trace_id
|
||||
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
|
||||
|
||||
# 初始化文件日志（按天轮转）
|
||||
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"""
|
||||
|
||||
async def dispatch(self, request: Request, call_next):
|
||||
request_id = str(uuid.uuid4())
|
||||
set_trace_id(request_id)
|
||||
start_time = time.time()
|
||||
path = request.url.path
|
||||
method = request.method
|
||||
|
||||
# 跳过健康检查和静态资源
|
||||
skip_paths = ["/app/api/health", "/favicon.ico"]
|
||||
should_skip = any(path.startswith(p) for p in skip_paths)
|
||||
|
||||
try:
|
||||
response = await call_next(request)
|
||||
elapsed = time.time() - start_time
|
||||
status_code = response.status_code
|
||||
response.headers["X-Trace-Id"] = request_id
|
||||
|
||||
if not should_skip:
|
||||
access_logger.info(
|
||||
f"[{request_id}] {method} {path} -> {status_code} ({elapsed:.3f}s)"
|
||||
)
|
||||
|
||||
# 异步记录API调用统计
|
||||
try:
|
||||
db = SessionLocal()
|
||||
try:
|
||||
_record_api_call(db, method, path, status_code, elapsed)
|
||||
finally:
|
||||
db.close()
|
||||
except Exception as e:
|
||||
logger.warning(f"API统计记录失败: {e}")
|
||||
|
||||
return response
|
||||
except Exception as e:
|
||||
elapsed = time.time() - start_time
|
||||
if not should_skip:
|
||||
access_logger.info(
|
||||
f"[{request_id}] {method} {path} -> ERROR ({elapsed:.3f}s): {str(e)}"
|
||||
)
|
||||
raise
|
||||
|
||||
async def __call__(self, scope, receive, send):
|
||||
if scope["type"] != "http":
|
||||
await self.app(scope, receive, send)
|
||||
return
|
||||
await super().__call__(scope, receive, send)
|
||||
|
||||
|
||||
def _record_api_call(db, method: str, path: str, status_code: int, elapsed: float):
|
||||
"""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("/")
|
||||
simplified_parts = []
|
||||
for part in parts:
|
||||
# 将UUID样式的路径段替换为{id}
|
||||
if len(part) == 36 and part.count("-") == 4:
|
||||
simplified_parts.append("{id}")
|
||||
# 将纯数字路径段替换为{id}
|
||||
elif part.isdigit():
|
||||
simplified_parts.append("{id}")
|
||||
else:
|
||||
simplified_parts.append(part)
|
||||
simplified_path = "/".join(simplified_parts)
|
||||
|
||||
# 统计记录通过数据库实现，简化版记录到日志
|
||||
is_error = status_code >= 400
|
||||
is_slow = elapsed >= SLOW_REQUEST_THRESHOLD
|
||||
|
||||
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...")
|
||||
|
||||
# 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）
|
||||
try:
|
||||
from app.services.evolution_service import EvolutionWatcherManager
|
||||
from app.models import UserEvolutionConfig
|
||||
db = SessionLocal()
|
||||
try:
|
||||
configs = db.query(UserEvolutionConfig).filter(
|
||||
UserEvolutionConfig.watcher_status == "running"
|
||||
).all()
|
||||
if configs:
|
||||
watcher = EvolutionWatcherManager()
|
||||
for cfg in configs:
|
||||
try:
|
||||
watcher.start_user_evolution(cfg.user_id, lambda: SessionLocal())
|
||||
logger.info(f"[Evolution] 恢复用户 {cfg.user_id} 的进化Pipeline")
|
||||
except Exception as e:
|
||||
logger.warning(f"[Evolution] 恢复用户 {cfg.user_id} 失败: {e}")
|
||||
logger.info(f"[Evolution] 已恢复 {len(configs)} 个用户的进化Pipeline")
|
||||
else:
|
||||
logger.info("[Evolution] 无待恢复的进化配置")
|
||||
finally:
|
||||
db.close()
|
||||
except Exception as e:
|
||||
logger.warning(f"[Evolution] Pipeline自动启动异常(不影响正常服务): {e}")
|
||||
|
||||
# 启动Redis事件总线
|
||||
try:
|
||||
from app.event_bus import get_event_bus
|
||||
event_bus = get_event_bus()
|
||||
event_bus.start(num_consumers=2)
|
||||
logger.info("[EventBus] Redis事件总线已启动")
|
||||
except Exception as e:
|
||||
logger.warning(f"[EventBus] 启动失败(不影响正常服务): {e}")
|
||||
|
||||
logger.info("Qihu-AIFlow v2.0.0 启动完成")
|
||||
|
||||
yield
|
||||
|
||||
# 停止Redis事件总线
|
||||
try:
|
||||
from app.event_bus import get_event_bus
|
||||
get_event_bus().stop()
|
||||
logger.info("[EventBus] Redis事件总线已停止")
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
# 优雅关闭：停止所有 Evolution Pipeline
|
||||
try:
|
||||
from app.services.evolution_service import EvolutionWatcherManager
|
||||
EvolutionWatcherManager().shutdown_all()
|
||||
logger.info("[Evolution] 所有Pipeline已停止")
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
logger.info("Qihu-AIFlow 正在关闭...")
|
||||
|
||||
|
||||
app = FastAPI(
|
||||
title="Qihu-AIFlow - 智能自动化PaaS平台",
|
||||
version="1.0.0",
|
||||
lifespan=lifespan,
|
||||
)
|
||||
|
||||
# API调用追踪中间件
|
||||
app.add_middleware(APITrackingMiddleware)
|
||||
|
||||
# CORS配置
|
||||
app.add_middleware(
|
||||
CORSMiddleware,
|
||||
allow_origins=["*"],
|
||||
allow_credentials=True,
|
||||
allow_methods=["*"],
|
||||
allow_headers=["*"],
|
||||
)
|
||||
|
||||
# 前台 API
|
||||
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"])
|
||||
app.include_router(market.router, prefix="/app/api/market", tags=["应用市场"])
|
||||
app.include_router(token_usage.router, prefix="/app/api/token", tags=["Token驾驶舱"])
|
||||
app.include_router(payment.router, prefix="/app/api/payment", tags=["付费中心"])
|
||||
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"])
|
||||
app.include_router(assets.router, prefix="/app/api/assets", tags=["资产管理"])
|
||||
app.include_router(evolution.router, prefix="/app/api/evolution", tags=["AI自进化"])
|
||||
|
||||
# 后台 API
|
||||
app.include_router(dashboard.router, prefix="/app/api/admin/dashboard", tags=["后台-仪表盘"])
|
||||
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"])
|
||||
app.include_router(settings.router, prefix="/app/api/admin/settings", tags=["后台-网站设置"])
|
||||
app.include_router(payment_admin.router, prefix="/app/api/admin/payment", tags=["后台-支付配置"])
|
||||
app.include_router(services.router, prefix="/app/api/admin/services", tags=["后台-增值服务"])
|
||||
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(market_admin.router, prefix="/app/api/admin/market", tags=["后台-应用审核"])
|
||||
app.include_router(logs.router, prefix="/app/api/admin/logs", tags=["后台-日志风控"])
|
||||
|
||||
app.include_router(skills_admin.router, prefix="/app/api/admin/skills", tags=["后台-技能管理"])
|
||||
app.include_router(agents_admin.router, prefix="/app/api/admin/agents", tags=["后台-Agent管理"])
|
||||
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(asset_admin.router, prefix="/app/api/admin/assets", tags=["后台-资产管理"])
|
||||
app.include_router(storage_admin.router, prefix="/app/api/admin/storage", tags=["后台-存储配置"])
|
||||
app.include_router(automation_admin.router, prefix="/app/api/admin/automation", tags=["后台-自动化任务"])
|
||||
app.include_router(mcp_admin.router, prefix="/app/api/admin/mcp", tags=["后台-MCP服务"])
|
||||
app.include_router(developer_admin.router, prefix="/app/api/admin/developer", tags=["后台-开发者API"])
|
||||
app.include_router(developer_tools_router, prefix="/app/api/admin/developer-tools", tags=["dev-tools"])
|
||||
app.include_router(apps_admin.router, prefix="/app/api/admin/apps", tags=["admin-ai-apps"])
|
||||
app.include_router(mcp_market_router, prefix="/app/api/admin/mcp-market", tags=["mcp-market"])
|
||||
app.include_router(code_exec_admin.router, prefix="/app/api/admin/code-exec", tags=["code-exec"])
|
||||
app.include_router(distro_admin.router, prefix="/app/api/admin/distributions", tags=["distributions"])
|
||||
app.include_router(privacy_admin.router, prefix="/app/api/admin/privacy", tags=["privacy"])
|
||||
app.include_router(im_bot_admin.router, prefix="/app/api/admin/im-bot", tags=["im-bot"])
|
||||
app.include_router(im_bot_user_router, prefix="/app/api/im/wechat", tags=["im-wechat-user"])
|
||||
app.include_router(im_bot_platform_router, prefix="/app/api/im/platform", tags=["im-platform-user"])
|
||||
app.include_router(promotion_admin.router, prefix="/app/api/admin/promotion", tags=["promotion"])
|
||||
app.include_router(tenant_admin.router, prefix="/app/api/admin/tenant", tags=["tenant"])
|
||||
app.include_router(billing_admin.router, prefix="/app/api/admin/billing", tags=["billing"])
|
||||
app.include_router(analytics_admin.router, prefix="/app/api/admin/analytics", tags=["analytics"])
|
||||
app.include_router(user_portal.router, prefix="/app/api/portal", tags=["portal"])
|
||||
app.include_router(achievement_admin.router, prefix="/app/api/admin/achievement", tags=["achievement"])
|
||||
app.include_router(casdoor_router, prefix="/app/api/auth", tags=["Casdoor SSO"])
|
||||
|
||||
|
||||
@app.get("/app/api/health")
|
||||
async def health_check():
|
||||
return {"status": "ok", "service": "Qihu-AIFlow"}
|
||||
"""
|
||||
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
|
||||
"""
|
||||
import sys
|
||||
import os
|
||||
import time
|
||||
import uuid
|
||||
import logging
|
||||
from contextlib import asynccontextmanager
|
||||
from fastapi import FastAPI, Request
|
||||
from fastapi.middleware.cors import CORSMiddleware
|
||||
from starlette.middleware.base import BaseHTTPMiddleware
|
||||
from datetime import datetime
|
||||
|
||||
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.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, observability_admin
|
||||
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.portal import user_portal
|
||||
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 import asset_admin, achievement_admin
|
||||
from app.config import setup_file_logging, SLOW_REQUEST_THRESHOLD
|
||||
from app.core.observability import set_trace_id
|
||||
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
|
||||
|
||||
# 初始化文件日志（按天轮转）
|
||||
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"""
|
||||
|
||||
async def dispatch(self, request: Request, call_next):
|
||||
request_id = str(uuid.uuid4())
|
||||
set_trace_id(request_id)
|
||||
start_time = time.time()
|
||||
path = request.url.path
|
||||
method = request.method
|
||||
|
||||
# 跳过健康检查和静态资源
|
||||
skip_paths = ["/app/api/health", "/favicon.ico"]
|
||||
should_skip = any(path.startswith(p) for p in skip_paths)
|
||||
|
||||
try:
|
||||
response = await call_next(request)
|
||||
elapsed = time.time() - start_time
|
||||
status_code = response.status_code
|
||||
response.headers["X-Trace-Id"] = request_id
|
||||
|
||||
if not should_skip:
|
||||
access_logger.info(
|
||||
f"[{request_id}] {method} {path} -> {status_code} ({elapsed:.3f}s)"
|
||||
)
|
||||
|
||||
# 异步记录API调用统计
|
||||
try:
|
||||
db = SessionLocal()
|
||||
try:
|
||||
_record_api_call(db, method, path, status_code, elapsed)
|
||||
finally:
|
||||
db.close()
|
||||
except Exception as e:
|
||||
logger.warning(f"API统计记录失败: {e}")
|
||||
|
||||
return response
|
||||
except Exception as e:
|
||||
elapsed = time.time() - start_time
|
||||
if not should_skip:
|
||||
access_logger.info(
|
||||
f"[{request_id}] {method} {path} -> ERROR ({elapsed:.3f}s): {str(e)}"
|
||||
)
|
||||
raise
|
||||
|
||||
async def __call__(self, scope, receive, send):
|
||||
if scope["type"] != "http":
|
||||
await self.app(scope, receive, send)
|
||||
return
|
||||
await super().__call__(scope, receive, send)
|
||||
|
||||
|
||||
def _record_api_call(db, method: str, path: str, status_code: int, elapsed: float):
|
||||
"""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("/")
|
||||
simplified_parts = []
|
||||
for part in parts:
|
||||
# 将UUID样式的路径段替换为{id}
|
||||
if len(part) == 36 and part.count("-") == 4:
|
||||
simplified_parts.append("{id}")
|
||||
# 将纯数字路径段替换为{id}
|
||||
elif part.isdigit():
|
||||
simplified_parts.append("{id}")
|
||||
else:
|
||||
simplified_parts.append(part)
|
||||
simplified_path = "/".join(simplified_parts)
|
||||
|
||||
# 统计记录通过数据库实现，简化版记录到日志
|
||||
is_error = status_code >= 400
|
||||
is_slow = elapsed >= SLOW_REQUEST_THRESHOLD
|
||||
|
||||
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...")
|
||||
|
||||
# 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）
|
||||
try:
|
||||
from app.services.evolution_service import EvolutionWatcherManager
|
||||
from app.models import UserEvolutionConfig
|
||||
db = SessionLocal()
|
||||
try:
|
||||
configs = db.query(UserEvolutionConfig).filter(
|
||||
UserEvolutionConfig.watcher_status == "running"
|
||||
).all()
|
||||
if configs:
|
||||
watcher = EvolutionWatcherManager()
|
||||
for cfg in configs:
|
||||
try:
|
||||
watcher.start_user_evolution(cfg.user_id, lambda: SessionLocal())
|
||||
logger.info(f"[Evolution] 恢复用户 {cfg.user_id} 的进化Pipeline")
|
||||
except Exception as e:
|
||||
logger.warning(f"[Evolution] 恢复用户 {cfg.user_id} 失败: {e}")
|
||||
logger.info(f"[Evolution] 已恢复 {len(configs)} 个用户的进化Pipeline")
|
||||
else:
|
||||
logger.info("[Evolution] 无待恢复的进化配置")
|
||||
finally:
|
||||
db.close()
|
||||
except Exception as e:
|
||||
logger.warning(f"[Evolution] Pipeline自动启动异常(不影响正常服务): {e}")
|
||||
|
||||
# 启动Redis事件总线
|
||||
try:
|
||||
from app.event_bus import get_event_bus
|
||||
event_bus = get_event_bus()
|
||||
event_bus.start(num_consumers=2)
|
||||
logger.info("[EventBus] Redis事件总线已启动")
|
||||
except Exception as e:
|
||||
logger.warning(f"[EventBus] 启动失败(不影响正常服务): {e}")
|
||||
|
||||
logger.info("Qihu-AIFlow v2.0.0 启动完成")
|
||||
|
||||
yield
|
||||
|
||||
# 停止Redis事件总线
|
||||
try:
|
||||
from app.event_bus import get_event_bus
|
||||
get_event_bus().stop()
|
||||
logger.info("[EventBus] Redis事件总线已停止")
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
# 优雅关闭：停止所有 Evolution Pipeline
|
||||
try:
|
||||
from app.services.evolution_service import EvolutionWatcherManager
|
||||
EvolutionWatcherManager().shutdown_all()
|
||||
logger.info("[Evolution] 所有Pipeline已停止")
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
logger.info("Qihu-AIFlow 正在关闭...")
|
||||
|
||||
|
||||
app = FastAPI(
|
||||
title="Qihu-AIFlow - 智能自动化PaaS平台",
|
||||
version="1.0.0",
|
||||
lifespan=lifespan,
|
||||
)
|
||||
|
||||
# API调用追踪中间件
|
||||
app.add_middleware(APITrackingMiddleware)
|
||||
|
||||
# CORS配置
|
||||
app.add_middleware(
|
||||
CORSMiddleware,
|
||||
allow_origins=["*"],
|
||||
allow_credentials=True,
|
||||
allow_methods=["*"],
|
||||
allow_headers=["*"],
|
||||
)
|
||||
|
||||
# 前台 API
|
||||
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"])
|
||||
app.include_router(market.router, prefix="/app/api/market", tags=["应用市场"])
|
||||
app.include_router(token_usage.router, prefix="/app/api/token", tags=["Token驾驶舱"])
|
||||
app.include_router(payment.router, prefix="/app/api/payment", tags=["付费中心"])
|
||||
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"])
|
||||
app.include_router(assets.router, prefix="/app/api/assets", tags=["资产管理"])
|
||||
app.include_router(evolution.router, prefix="/app/api/evolution", tags=["AI自进化"])
|
||||
|
||||
# 后台 API
|
||||
app.include_router(dashboard.router, prefix="/app/api/admin/dashboard", tags=["后台-仪表盘"])
|
||||
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"])
|
||||
app.include_router(settings.router, prefix="/app/api/admin/settings", tags=["后台-网站设置"])
|
||||
app.include_router(payment_admin.router, prefix="/app/api/admin/payment", tags=["后台-支付配置"])
|
||||
app.include_router(services.router, prefix="/app/api/admin/services", tags=["后台-增值服务"])
|
||||
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(market_admin.router, prefix="/app/api/admin/market", tags=["后台-应用审核"])
|
||||
app.include_router(logs.router, prefix="/app/api/admin/logs", tags=["后台-日志风控"])
|
||||
|
||||
app.include_router(skills_admin.router, prefix="/app/api/admin/skills", tags=["后台-技能管理"])
|
||||
app.include_router(agents_admin.router, prefix="/app/api/admin/agents", tags=["后台-Agent管理"])
|
||||
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(asset_admin.router, prefix="/app/api/admin/assets", tags=["后台-资产管理"])
|
||||
app.include_router(storage_admin.router, prefix="/app/api/admin/storage", tags=["后台-存储配置"])
|
||||
app.include_router(automation_admin.router, prefix="/app/api/admin/automation", tags=["后台-自动化任务"])
|
||||
app.include_router(mcp_admin.router, prefix="/app/api/admin/mcp", tags=["后台-MCP服务"])
|
||||
app.include_router(developer_admin.router, prefix="/app/api/admin/developer", tags=["后台-开发者API"])
|
||||
app.include_router(developer_tools_router, prefix="/app/api/admin/developer-tools", tags=["dev-tools"])
|
||||
app.include_router(apps_admin.router, prefix="/app/api/admin/apps", tags=["admin-ai-apps"])
|
||||
app.include_router(mcp_market_router, prefix="/app/api/admin/mcp-market", tags=["mcp-market"])
|
||||
app.include_router(code_exec_admin.router, prefix="/app/api/admin/code-exec", tags=["code-exec"])
|
||||
app.include_router(distro_admin.router, prefix="/app/api/admin/distributions", tags=["distributions"])
|
||||
app.include_router(privacy_admin.router, prefix="/app/api/admin/privacy", tags=["privacy"])
|
||||
app.include_router(im_bot_admin.router, prefix="/app/api/admin/im-bot", tags=["im-bot"])
|
||||
app.include_router(im_bot_user_router, prefix="/app/api/im/wechat", tags=["im-wechat-user"])
|
||||
app.include_router(im_bot_platform_router, prefix="/app/api/im/platform", tags=["im-platform-user"])
|
||||
app.include_router(promotion_admin.router, prefix="/app/api/admin/promotion", tags=["promotion"])
|
||||
app.include_router(tenant_admin.router, prefix="/app/api/admin/tenant", tags=["tenant"])
|
||||
app.include_router(billing_admin.router, prefix="/app/api/admin/billing", tags=["billing"])
|
||||
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.include_router(achievement_admin.router, prefix="/app/api/admin/achievement", tags=["achievement"])
|
||||
app.include_router(casdoor_router, prefix="/app/api/auth", tags=["Casdoor SSO"])
|
||||
|
||||
|
||||
@app.get("/app/api/health")
|
||||
async def health_check():
|
||||
return {"status": "ok", "service": "Qihu-AIFlow"}
|
||||
Reference in new issue
Block a user