from pydantic import Field from pydantic_settings import BaseSettings, SettingsConfigDict class Settings(BaseSettings): """ 应用配置类。Pydantic Settings 会自动从环境变量和 .env 文件中加载这些值。 """ model_config = SettingsConfigDict( env_file='.env', env_file_encoding='utf-8', # extra='ignore' # 忽略环境变量中多余的键 ) # --- 服务端口配置信息 --- PORT: int = Field(default=8001, description="") # --- 服务环境 配置信息 --- SERVE_ENV: str = Field(default='', description="") # --- 开发状态 配置信息 --- DEBUG: bool = Field(default=False, description="") # --- 千问api 配置信息 --- QWEN_API_KEY: str = Field(default="", description="") # --- ComfyUI 配置信息 --- COMFYUI_SERVER_ADDRESS: str = Field(default='', description="") # --- minio 配置信息 --- MINIO_URL: str = Field(default='', description="") MINIO_ACCESS: str = Field(default='', description="") MINIO_SECRET: str = Field(default='', description="") MINIO_SECURE: bool = Field(default=True, description="") # --- redis 配置信息 --- REDIS_HOST: str = Field(default='', description="") REDIS_PORT: str = Field(default='', description="") REDIS_DB: int = Field(default=0, description="") # --- mysql 配置信息 --- MYSQL_HOST: str = Field(default='', description="") MYSQL_PORT: int = Field(default='', description="") MYSQL_USER: str = Field(default='', description="") MYSQL_PASSWORD: str = Field(default='', description="") MYSQL_DB: str = Field(default='', description="") MYSQL_CHARSET: str = Field(default='utf8mb4', description="") # --- rabbit-mq 配置信息 --- MQ_HOST: str = Field(default='', description="") MQ_PORT: str = Field(default='', description="") MQ_USERNAME: str = Field(default='', description="") MQ_PASSWORD: str = Field(default='', description="") MQ_VIRTUAL_HOST: str = Field(default='/', description="") MQ_ENV: str = Field(default='', description="") # --- milvus 配置信息 --- MILVUS_URL: str = Field(default='', description="") MILVUS_TOKEN: str = Field(default='', description="") MILVUS_ALIAS: str = Field(default='', description="") # --- ollama 配置信息 --- CHROMADB_PATH: str = Field(default='', description="") # --- ollama 配置信息 --- OLLAMA_URL: str = Field(default='', description="") # --- Design Callback Java 接口 --- JAVA_STREAM_API_URL: str = Field(default='', description="") # --- 其他配置信息 以下均为Docker容器内配置--- LOGS_PATH: str = Field(default="/logs/", description="") CATEGORY_PATH: str = Field(default="/app/service/attribute/config/descriptor/category/category_dis.csv", description="") SEG_CACHE_PATH: str = Field(default="/seg_cache/", description="") RECOMMEND_PATH_PREFIX: str = Field(default="/app/service/recommend/", description="") settings = Settings() """Design 服务""" # 推荐服装类别映射 TABLE_CATEGORIES = { "female_dress": "female/dress", "female_outwear": "female/outwear", "female_trousers": "female/trousers", "female_skirt": "female/skirt", "female_blouse": "female/blouse", "male_tops": "male/tops", "male_bottoms": "male/bottoms", "male_outwear": "male/outwear" } # Design前后排优先级 PRIORITY_DICT = { 'earring_front': 99, 'bag_front': 98, 'hairstyle_front': 97, 'outwear_front': 20, 'tops_front': 19, 'dress_front': 18, 'blouse_front': 17, 'skirt_front': 16, 'trousers_front': 15, 'bottoms_front': 14, 'shoes_right': 1, 'shoes_left': 1, 'body': 0, 'bottoms_back': -14, 'trousers_back': -15, 'skirt_back': -16, 'blouse_back': -17, 'dress_back': -18, 'tops_back': -19, 'outwear_back': -20, 'hairstyle_back': -97, 'bag_back': -98, 'earring_back': -99, } # Design 关键点字段 KEYPOINT_RESULT_TABLE_FIELD_SET = ('neckline_left', 'neckline_right', 'shoulder_left', 'shoulder_right', 'armpit_left', 'armpit_right', 'cuff_left_in', 'cuff_left_out', 'cuff_right_in', 'cuff_right_out', 'waistband_left', 'waistband_right') # milvus配置信息 MILVUS_TABLE_KEYPOINT = "keypoint_cache_2" # ollama 地址 OLLAMA_URL = "http://10.1.1.240:11434/api/embeddings" """Triton Server Config""" # Design DESIGN_MODEL_URL = '10.1.1.240:10000' DESIGN_MODEL_NAME = 'seg_knet' # Generate Image GI_MODEL_URL = '10.1.1.240:10061' GI_MODEL_NAME = 'flux' # Generate Single Logo GSL_MODEL_URL = '10.1.1.243:10041' GSL_MODEL_NAME = 'stable_diffusion_xl_transparent' # Generate Product (整套和单品) GPI_MODEL_URL = '10.1.1.243:10051' GPI_MODEL_NAME_OVERALL = 'diffusion_ensemble_all' GPI_MODEL_NAME_SINGLE = 'stable_diffusion_1_5_cnet' # 以下停用中...************* # 多视角生成 GMV_MODEL_URL = '10.1.1.243:10081' GMV_MODEL_NAME = 'multi_view' # 超分 SR_MODEL_NAME = "super_resolution" SR_TRITON_URL = "10.1.1.240:10031" # 打光 GRI_MODEL_URL = '10.1.1.240:10051' GRI_MODEL_NAME_OVERALL = 'diffusion_relight_ensemble' GRI_MODEL_NAME_SINGLE = 'stable_diffusion_1_5_relight' # agent 图片生成 FAST_GI_MODEL_URL = '10.1.1.243:10011' FAST_GI_MODEL_NAME = 'stable_diffusion_xl' # 图转视频 triton版 PT_MODEL_URL = '10.1.1.243:10061' # ************* """MQ 队列信息""" # 生成图片 moodboard printboard sketchboard GI_RABBITMQ_QUEUES = f"GenerateImage-{settings.SERVE_ENV}" # 生成slogan SLOGAN_RABBITMQ_QUEUES = f"Slogan-{settings.SERVE_ENV}" # 转产品图 GPI_RABBITMQ_QUEUES = f"ToProductImage-{settings.SERVE_ENV}" # 产品图转视频 PS_RABBITMQ_QUEUES = f"PoseTransform-{settings.SERVE_ENV}" # 以下停用中...************* # 产品图打光 GRI_RABBITMQ_QUEUES = f"Relight-{settings.SERVE_ENV}" # 超分 SR_RABBITMQ_QUEUES = f"SuperResolution-{settings.SERVE_ENV}" # 生成多视图 GMV_RABBITMQ_QUEUES = f"GenerateMultiView-{settings.SERVE_ENV}" # 批量转产品图 BATCH_GPI_RABBITMQ_QUEUES = f"BatchToProductImage-{settings.SERVE_ENV}" # 批量打光 BATCH_GRI_RABBITMQ_QUEUES = f"BatchRelight-{settings.SERVE_ENV}" # 批量图片转视频 BATCH_PS_RABBITMQ_QUEUES = f"BatchPoseTransform-{settings.SERVE_ENV}" # 批量design BATCH_DESIGN_RABBITMQ_QUEUES = f"DesignBatch-{settings.SERVE_ENV}" # *************