Compare commits
2 Commits
| Author | SHA1 | Date | |
|---|---|---|---|
| b05a03e198 | |||
| fd583132d7 |
BIN
ai_chat.db
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ai_chat.db
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init_config.py
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40
init_config.py
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@@ -0,0 +1,40 @@
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#!/usr/bin/env python3
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"""初始化配置"""
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import sys
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sys.path.insert(0, '/home/xian/.openclaw/workspace-coder/works/ai-chat')
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from models import SessionLocal, SystemConfig, init_db
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# 初始化数据库
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init_db()
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db = SessionLocal()
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# 配置AI模型
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configs = [
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{'key': 'ai_api_base', 'value': 'http://192.168.2.17:19007/v1', 'description': 'AI模型API地址'},
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{'key': 'ai_api_key', 'value': 'xxxx', 'description': 'AI模型API Key'},
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{'key': 'ai_model', 'value': 'auto', 'description': 'AI模型名称'},
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# 配置Matrix Bot
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{'key': 'matrix_homeserver', 'value': 'https://matrix.tphai.com', 'description': 'Matrix服务器地址'},
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{'key': 'matrix_username', 'value': '@tester:matrix.tphai.com', 'description': 'Matrix Bot用户名'},
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{'key': 'matrix_access_token', 'value': 'syt_dGVzdGVy_eMwWfezCXSyBgHzvkmly_4dWFtM', 'description': 'Matrix Bot Access Token'},
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]
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for config in configs:
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existing = db.query(SystemConfig).filter(SystemConfig.key == config['key']).first()
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if existing:
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existing.value = config['value']
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existing.description = config['description']
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else:
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db.add(SystemConfig(**config))
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db.commit()
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print("配置已写入数据库")
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# 显示配置
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for c in db.query(SystemConfig).all():
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print(f"{c.key}: {c.value}")
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db.close()
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@@ -1,18 +1,32 @@
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Traceback (most recent call last):
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File "/home/xian/.openclaw/workspace-coder/works/ai-chat/main.py", line 17, in <module>
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from models import init_db, get_db, User, Conversation, Message, SystemConfig
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File "/home/xian/.openclaw/workspace-coder/works/ai-chat/models/__init__.py", line 1, in <module>
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from .database import Base, engine, SessionLocal, get_db, init_db
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File "/home/xian/.openclaw/workspace-coder/works/ai-chat/models/database.py", line 33, in <module>
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class Conversation(Base):
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File "/home/xian/.local/lib/python3.10/site-packages/sqlalchemy/orm/decl_api.py", line 195, in __init__
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_as_declarative(reg, cls, dict_)
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File "/home/xian/.local/lib/python3.10/site-packages/sqlalchemy/orm/decl_base.py", line 247, in _as_declarative
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return _MapperConfig.setup_mapping(registry, cls, dict_, None, {})
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File "/home/xian/.local/lib/python3.10/site-packages/sqlalchemy/orm/decl_base.py", line 328, in setup_mapping
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return _ClassScanMapperConfig(
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File "/home/xian/.local/lib/python3.10/site-packages/sqlalchemy/orm/decl_base.py", line 574, in __init__
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self._extract_mappable_attributes()
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File "/home/xian/.local/lib/python3.10/site-packages/sqlalchemy/orm/decl_base.py", line 1507, in _extract_mappable_attributes
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raise exc.InvalidRequestError(
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sqlalchemy.exc.InvalidRequestError: Attribute name 'metadata' is reserved when using the Declarative API.
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/home/xian/.openclaw/workspace-coder/works/ai-chat/main.py:445: DeprecationWarning:
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on_event is deprecated, use lifespan event handlers instead.
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Read more about it in the
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[FastAPI docs for Lifespan Events](https://fastapi.tiangolo.com/advanced/events/).
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@app.on_event("startup")
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/home/xian/.openclaw/workspace-coder/works/ai-chat/main.py:470: DeprecationWarning:
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on_event is deprecated, use lifespan event handlers instead.
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Read more about it in the
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[FastAPI docs for Lifespan Events](https://fastapi.tiangolo.com/advanced/events/).
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@app.on_event("shutdown")
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INFO: Started server process [1418843]
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INFO: Waiting for application startup.
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INFO:__main__:数据库初始化完成
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INFO:services.ai_service:AI配置已更新: api_base=http://192.168.2.17:19007/v1, model=auto, use_mock=False
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INFO:__main__:AI配置已加载: http://192.168.2.17:19007/v1, model=auto
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WARNING:nio.client.async_client:Timed out, sleeping for 0s
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WARNING:nio.client.async_client:Timed out, sleeping for 0s
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WARNING:nio.client.async_client:Timed out, sleeping for 0s
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WARNING:nio.client.async_client:Timed out, sleeping for 0s
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WARNING:nio.clieWARNING:nio.client.async_client:Timed out, sleeping for 60s
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WARNING:nio.client.async_client:Timed out, sleeping for 60s
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WARNING:nio.client.async_client:Timed out, sleeping for 60s
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WARNING:nio.client.async_client:Timed out, sleeping for 60s
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async_client:Timed out, sleeping for 25s
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WARNING:nio.client.async_client:Timed out, sleeping for 51s
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WARNING:nio.client.async_client:Timed out, sleeping for 60s
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WARNING:nio.client.async_client:Timed out, sleeping for 60s
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WARNING:nio.client.async_client:Timed out, sleeping for 60s
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24
main.py
24
main.py
@@ -14,7 +14,7 @@ import logging
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from datetime import datetime
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import os
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from models import init_db, get_db, User, Conversation, Message, SystemConfig
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from models import init_db, get_db, SessionLocal, User, Conversation, Message, SystemConfig
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from services import ai_service, ConversationService, matrix_bot
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# 配置日志
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@@ -379,7 +379,15 @@ async def update_config(data: dict, db: Session = Depends(get_db)):
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db.commit()
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# 如果更新了Matrix配置,重新连接
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# 根据配置类型执行相应操作
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if key.startswith('ai_'):
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# 更新AI服务配置
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configs = {c.key: c.value for c in db.query(SystemConfig).all()}
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api_base = configs.get('ai_api_base', 'http://192.168.2.17:19007/v1')
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api_key = configs.get('ai_api_key', 'xxxx')
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model = configs.get('ai_model', 'auto')
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ai_service.update_config(api_base, api_key, model)
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if key.startswith('matrix_') and matrix_bot.is_running:
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await matrix_bot.disconnect()
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await matrix_bot.init_from_config()
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@@ -440,6 +448,18 @@ async def startup():
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init_db()
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logger.info("数据库初始化完成")
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# 从数据库加载AI配置
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db = SessionLocal()
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try:
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configs = {c.key: c.value for c in db.query(SystemConfig).all()}
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api_base = configs.get('ai_api_base', 'http://192.168.2.17:19007/v1')
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api_key = configs.get('ai_api_key', 'xxxx')
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model = configs.get('ai_model', 'auto')
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ai_service.update_config(api_base, api_key, model)
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logger.info(f"AI配置已加载: {api_base}, model={model}")
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finally:
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db.close()
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# 初始化Matrix Bot
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await matrix_bot.init_from_config()
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if matrix_bot.is_running:
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25
reset_config.py
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reset_config.py
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#!/usr/bin/env python3
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"""重置配置 - 使用mock模式"""
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import sys
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sys.path.insert(0, '/home/xian/.openclaw/workspace-coder/works/ai-chat')
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from models import SessionLocal, SystemConfig, init_db
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init_db()
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db = SessionLocal()
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# 删除所有AI配置(让服务使用mock模式)
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keys_to_delete = ['ai_api_base', 'ai_api_key', 'ai_model']
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for key in keys_to_delete:
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c = db.query(SystemConfig).filter(SystemConfig.key == key).first()
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if c:
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db.delete(c)
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# 保留Matrix配置
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print("当前配置:")
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for c in db.query(SystemConfig).all():
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print(f" {c.key}: {c.value[:20]}...")
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db.commit()
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print("\nAI将使用mock模式(因为没有配置AI API)")
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db.close()
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AI服务 - 调用大模型API
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"""
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import httpx
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from typing import List, Dict, Optional
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from typing import List, Dict, AsyncGenerator
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import json
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import logging
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logger = logging.getLogger(__name__)
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class AIService:
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def __init__(self, api_base: str = "http://192.168.2.17:19007/v1", api_key: str = "sk-local", model: str = "qwen3.5-4b"):
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def __init__(self):
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self.api_base = ""
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self.api_key = ""
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self.model = ""
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self.use_mock = True
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def update_config(self, api_base: str, api_key: str, model: str):
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"""更新配置"""
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self.api_base = api_base
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self.api_key = api_key
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self.model = model
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# 如果配置完整则使用真实API,否则使用mock
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self.use_mock = not (api_base and model)
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logger.info(f"AI配置已更新: api_base={api_base}, model={model}, use_mock={self.use_mock}")
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async def chat(self, messages: List[Dict], stream: bool = False) -> str:
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async def chat(self, messages: List[Dict]) -> str:
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"""
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调用AI模型进行对话
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Args:
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messages: 对话历史 [{"role": "user", "content": "..."}]
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stream: 是否流式输出
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Returns:
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AI回复内容
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"""
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# 如果使用mock模式,返回模拟回复
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if self.use_mock:
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logger.info("使用Mock模式回复")
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last_msg = messages[-1]['content'] if messages else "你好"
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return f"这是一个测试回复。您说的是:{last_msg}\n\n请配置有效的AI服务地址和模型,才能获得真正的AI回复。"
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# 调用真实API
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url = f"{self.api_base}/chat/completions"
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headers = {
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"Authorization": f"Bearer {self.api_key}",
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@@ -31,21 +44,35 @@ class AIService:
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payload = {
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"model": self.model,
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"messages": messages,
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"stream": stream,
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"temperature": 0.7,
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"max_tokens": 2000
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}
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logger.info(f"调用AI API: {url}, model={self.model}")
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try:
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async with httpx.AsyncClient(timeout=60.0) as client:
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response = await client.post(url, headers=headers, json=payload)
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response.raise_for_status()
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data = response.json()
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return data['choices'][0]['message']['content']
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except Exception as e:
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logger.error(f"AI API调用失败: {e}")
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# API失败时返回模拟回复
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last_msg = messages[-1]['content'] if messages else "你好"
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return f"AI服务暂时不可用(错误:{str(e)})。您说的是:{last_msg}"
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async def chat_stream(self, messages: List[Dict]):
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async def chat_stream(self, messages: List[Dict]) -> AsyncGenerator[str, None]:
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"""
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流式调用AI模型
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"""
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if self.use_mock:
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last_msg = messages[-1]['content'] if messages else "你好"
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reply = f"这是一个测试回复。您说的是:{last_msg}"
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for char in reply:
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yield char
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return
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url = f"{self.api_base}/chat/completions"
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headers = {
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"Authorization": f"Bearer {self.api_key}",
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@@ -19,6 +19,7 @@ class MatrixBot:
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self.homeserver: str = ""
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self.username: str = ""
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self.password: str = ""
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self.access_token: str = ""
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self.is_running: bool = False
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self.on_message_callback: Optional[Callable] = None
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@@ -30,8 +31,9 @@ class MatrixBot:
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self.homeserver = configs.get('matrix_homeserver', 'https://matrix.tphai.com')
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self.username = configs.get('matrix_username', '')
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self.password = configs.get('matrix_password', '')
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self.access_token = configs.get('matrix_access_token', '')
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if self.username and self.password:
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if self.username and (self.password or self.access_token):
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await self.connect()
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finally:
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db.close()
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@@ -43,7 +45,22 @@ class MatrixBot:
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return False
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try:
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self.client = AsyncClient(self.homeserver, self.username)
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# 创建客户端
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self.client = AsyncClient(
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self.homeserver,
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self.username,
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store_path="/tmp/matrix_store"
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)
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# 如果有access_token,直接设置
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if self.access_token:
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self.client.access_token = self.access_token
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self.client.user_id = self.username
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logger.info(f"Matrix已设置access_token: {self.username}")
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self.is_running = True
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return True
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# 否则使用密码登录
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response = await self.client.login(self.password)
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if isinstance(response, LoginResponse):
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@@ -60,6 +77,7 @@ class MatrixBot:
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async def start_sync(self, message_handler: Callable = None):
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"""开始同步消息"""
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if not self.client:
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logger.warning("Matrix客户端未初始化")
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return
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self.on_message_callback = message_handler
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@@ -67,8 +85,27 @@ class MatrixBot:
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# 注册消息处理器
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self.client.add_event_callback(self._handle_room_message, RoomMessageText)
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# 开始同步循环
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await self.client.sync_forever(timeout=30000)
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# 首先执行一次同步获取房间信息
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try:
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sync_response = await self.client.sync(timeout=10000)
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logger.info(f"Matrix初始同步完成")
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except Exception as e:
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logger.warning(f"Matrix初始同步失败: {e}, 将尝试继续")
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# 启动后台同步任务(不阻塞)
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asyncio.create_task(self._sync_loop())
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logger.info("Matrix同步任务已启动")
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async def _sync_loop(self):
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"""后台同步循环"""
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while self.is_running:
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try:
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# 使用较短的超时,避免长时间阻塞
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await self.client.sync(timeout=5000)
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await asyncio.sleep(1) # 每秒同步一次
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except Exception as e:
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logger.warning(f"Matrix同步错误: {e}")
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await asyncio.sleep(5) # 出错后等待5秒再重试
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async def _handle_room_message(self, room: MatrixRoom, event: RoomMessageText):
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"""处理收到的房间消息"""
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Reference in New Issue
Block a user