189 lines
6.7 KiB
Python
189 lines
6.7 KiB
Python
from pydantic import Field
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from pydantic_settings import BaseSettings, SettingsConfigDict
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class Settings(BaseSettings):
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"""
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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。
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"""
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model_config = SettingsConfigDict(
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env_file='.env',
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env_file_encoding='utf-8',
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# extra='ignore' # 忽略环境变量中多余的键
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)
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# --- 服务端口配置信息 ---
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PORT: int = Field(default=8001, description="")
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# --- 服务环境 配置信息 ---
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SERVE_ENV: str = Field(default='', description="")
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# --- 开发状态 配置信息 ---
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DEBUG: bool = Field(default=False, description="")
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# --- 千问api 配置信息 ---
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QWEN_API_KEY: str = Field(default="", description="")
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# --- ComfyUI 配置信息 ---
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COMFYUI_SERVER_ADDRESS: str = Field(default='', description="")
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# --- minio 配置信息 ---
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MINIO_URL: str = Field(default='', description="")
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MINIO_ACCESS: str = Field(default='', description="")
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MINIO_SECRET: str = Field(default='', description="")
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MINIO_SECURE: bool = Field(default=True, description="")
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# --- redis 配置信息 ---
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REDIS_HOST: str = Field(default='', description="")
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REDIS_PORT: str = Field(default='', description="")
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REDIS_DB: int = Field(default=0, description="")
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# --- mysql 配置信息 ---
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MYSQL_HOST: str = Field(default='', description="")
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MYSQL_PORT: int = Field(default=3306, description="")
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MYSQL_USER: str = Field(default='', description="")
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MYSQL_PASSWORD: str = Field(default='', description="")
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MYSQL_DB: str = Field(default='', description="")
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MYSQL_CHARSET: str = Field(default='utf8mb4', description="")
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# --- rabbit-mq 配置信息 ---
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MQ_HOST: str = Field(default='', description="")
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MQ_PORT: str = Field(default='', description="")
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MQ_USERNAME: str = Field(default='', description="")
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MQ_PASSWORD: str = Field(default='', description="")
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MQ_VIRTUAL_HOST: str = Field(default='/', description="")
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MQ_ENV: str = Field(default='', description="")
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# --- milvus 配置信息 ---
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MILVUS_URL: str = Field(default='', description="")
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MILVUS_TOKEN: str = Field(default='', description="")
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MILVUS_ALIAS: str = Field(default='', description="")
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# --- ollama 配置信息 ---
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CHROMADB_PATH: str = Field(default='', description="")
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# --- ollama 配置信息 ---
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OLLAMA_URL: str = Field(default='', description="")
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# --- Design Callback Java 接口 ---
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JAVA_STREAM_API_URL: str = Field(default='', description="")
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# --- 服务器IP ---
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A6000_SERVICE_HOST: str = Field(default='', description="")
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B_4_X_4090_SERVICE_HOST: str = Field(default='', description="")
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# --- 其他配置信息 以下均为Docker容器内配置---
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LOGS_PATH: str = Field(default="/logs/", description="")
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CATEGORY_PATH: str = Field(default="/app/service/attribute/config/descriptor/category/category_dis.csv", description="")
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SEG_CACHE_PATH: str = Field(default="/seg_cache/", description="")
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RECOMMEND_PATH_PREFIX: str = Field(default="/app/service/recommend/", description="")
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SERVE_PORT: int = Field(default=2010, description="")
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settings = Settings()
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"""Design 服务"""
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# 推荐服装类别映射
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TABLE_CATEGORIES = {
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"female_dress": "female/dress",
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"female_outwear": "female/outwear",
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"female_trousers": "female/trousers",
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"female_skirt": "female/skirt",
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"female_blouse": "female/blouse",
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"male_tops": "male/tops",
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"male_bottoms": "male/bottoms",
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"male_outwear": "male/outwear"
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}
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# Design前后排优先级
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PRIORITY_DICT = {
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'earring_front': 99,
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'bag_front': 98,
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'hairstyle_front': 97,
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'outwear_front': 20,
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'tops_front': 19,
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'dress_front': 18,
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'blouse_front': 17,
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'skirt_front': 16,
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'trousers_front': 15,
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'bottoms_front': 14,
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'shoes_right': 1,
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'shoes_left': 1,
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'body': 0,
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'bottoms_back': -14,
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'trousers_back': -15,
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'skirt_back': -16,
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'blouse_back': -17,
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'dress_back': -18,
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'tops_back': -19,
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'outwear_back': -20,
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'hairstyle_back': -97,
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'bag_back': -98,
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'earring_back': -99,
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}
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# Design 关键点字段
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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')
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# milvus配置信息
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MILVUS_TABLE_KEYPOINT = "keypoint_cache_2"
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# ollama 地址
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OLLAMA_URL = f"http://{settings.A6000_SERVICE_HOST}:11434/api/embeddings"
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"""Triton Server Config"""
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# Design
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DESIGN_MODEL_URL = f'{settings.A6000_SERVICE_HOST}:10000'
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DESIGN_MODEL_NAME = 'seg_knet'
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# Seg Product
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SEG_PRODUCT_MODEL_URL = f'{settings.B_4_X_4090_SERVICE_HOST}:30000'
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# Generate Image
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GI_MODEL_URL = f'{settings.A6000_SERVICE_HOST}:10061'
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GI_MODEL_NAME = 'flux'
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# Generate Single Logo
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GSL_MODEL_URL = f'{settings.B_4_X_4090_SERVICE_HOST}:10041'
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GSL_MODEL_NAME = 'stable_diffusion_xl_transparent'
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# Generate Product （整套和单品）
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GPI_MODEL_URL = f'{settings.B_4_X_4090_SERVICE_HOST}:10051'
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GPI_MODEL_NAME_OVERALL = 'diffusion_ensemble_all'
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GPI_MODEL_NAME_SINGLE = 'stable_diffusion_1_5_cnet'
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# 以下停用中...*************
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# 多视角生成
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GMV_MODEL_URL = f'{settings.B_4_X_4090_SERVICE_HOST}:10081'
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GMV_MODEL_NAME = 'multi_view'
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# 超分
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SR_MODEL_NAME = "super_resolution"
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SR_TRITON_URL = f"{settings.A6000_SERVICE_HOST}:10031"
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# 打光
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GRI_MODEL_URL = f'{settings.A6000_SERVICE_HOST}:10051'
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GRI_MODEL_NAME_OVERALL = 'diffusion_relight_ensemble'
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GRI_MODEL_NAME_SINGLE = 'stable_diffusion_1_5_relight'
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# agent 图片生成
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FAST_GI_MODEL_URL = f'{settings.B_4_X_4090_SERVICE_HOST}:10011'
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FAST_GI_MODEL_NAME = 'stable_diffusion_xl'
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# 图转视频 triton版
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PT_MODEL_URL = f'{settings.B_4_X_4090_SERVICE_HOST}:10061'
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# *************
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"""MQ 队列信息"""
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# 生成图片 moodboard printboard sketchboard
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GI_RABBITMQ_QUEUES = f"GenerateImage-{settings.SERVE_ENV}"
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# 生成slogan
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SLOGAN_RABBITMQ_QUEUES = f"Slogan-{settings.SERVE_ENV}"
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# 转产品图
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GPI_RABBITMQ_QUEUES = f"ToProductImage-{settings.SERVE_ENV}"
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# 产品图转视频
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PS_RABBITMQ_QUEUES = f"PoseTransform-{settings.SERVE_ENV}"
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# 以下停用中...*************
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# 产品图打光
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GRI_RABBITMQ_QUEUES = f"Relight-{settings.SERVE_ENV}"
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# 超分
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SR_RABBITMQ_QUEUES = f"SuperResolution-{settings.SERVE_ENV}"
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# 生成多视图
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GMV_RABBITMQ_QUEUES = f"GenerateMultiView-{settings.SERVE_ENV}"
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# 批量转产品图
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BATCH_GPI_RABBITMQ_QUEUES = f"BatchToProductImage-{settings.SERVE_ENV}"
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# 批量打光
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BATCH_GRI_RABBITMQ_QUEUES = f"BatchRelight-{settings.SERVE_ENV}"
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# 批量图片转视频
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BATCH_PS_RABBITMQ_QUEUES = f"BatchPoseTransform-{settings.SERVE_ENV}"
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# 批量design
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BATCH_DESIGN_RABBITMQ_QUEUES = f"DesignBatch-{settings.SERVE_ENV}"
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# *************
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