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@@ -4,7 +4,7 @@ from pydantic_settings import BaseSettings, SettingsConfigDict
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from pydantic import Field
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# ⚠️ 注意: 您需要安装 pydantic-settings: pip install pydantic-settings
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DEBUG = os.environ.get("DEBUG", True)
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DEBUG = os.environ.get("DEBUG", 1)
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class Settings(BaseSettings):
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@@ -34,10 +34,10 @@ class Settings(BaseSettings):
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STYLIST_GUIDE_DIR: str = Field(default="/workspace/lc_stylist_agent/app/core/data/stylist_guide", description="风格指南文本目录")
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# 向量数据库配置参数
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if DEBUG:
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VECTOR_DB_DIR: str = Field(default="./db", description="向量数据库目录")
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if DEBUG == 1:
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VECTOR_DB_DIR: str = Field(default="/workspace/lc_stylist_agent/db", description="向量数据库目录")
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else:
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VECTOR_DB_DIR: str = Field(default="./app/db", description="向量数据库目录")
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VECTOR_DB_DIR: str = Field(default="/db", description="向量数据库目录")
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COLLECTION_NAME: str = Field(default="lc_clothing_embedding", description="向量数据库集合名称")
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EMBEDDING_MODEL_NAME: str = Field(default="openai/clip-vit-base-patch32", description="CLIP嵌入模型名称")
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@@ -1,7 +1,7 @@
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import logging.config
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import os
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import litserve as ls
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from app.core.config import DEBUG, settings
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from app.server.ChatbotAgent.agent_server import LCAgent
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from app.server.ChatbotAgent.chatbot_server import LCChatBot
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from logging_env import LOGGER_CONFIG_DICT
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@@ -20,6 +20,8 @@ logging.config.dictConfig(LOGGER_CONFIG_DICT)
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# STEP 2: START THE SERVER
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if __name__ == "__main__":
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logger.info(f"DEBUG -> :{DEBUG}")
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logger.info(f"VECTOR_DB_DIR -> :{settings.VECTOR_DB_DIR}")
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chat_boot_api = LCChatBot(enable_async=True, stream=True, api_path='/api/v1/chatbot')
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agent_api = LCAgent(enable_async=True, api_path='/api/v1/agent')
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server = ls.LitServer([chat_boot_api, agent_api])
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@@ -5,9 +5,12 @@ services:
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dockerfile: Dockerfile
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working_dir: /app
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environment:
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GOOGLE_APPLICATION_CREDENTIALS: /app/request.json
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GOOGLE_APPLICATION_CREDENTIALS: /app/app/request.json
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DEBUG: 0
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volumes:
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- ./app:/app/app
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- ./.env:/app/.env
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- ./db:/db
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- /etc/localtime:/etc/localtime:ro
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ports:
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- "10070:8000"
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