AiDA_Python/app/core/config.py

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: str = 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}"
# *************