import os

import pika
from dotenv import load_dotenv
from pydantic import BaseSettings

BASE_DIR = os.path.abspath(os.path.join(os.path.dirname(__file__), '../../'))
load_dotenv(os.path.join(BASE_DIR, '.env'))


class Settings(BaseSettings):
    PROJECT_NAME = os.getenv('PROJECT_NAME', 'FASTAPI BASE')
    SECRET_KEY = os.getenv('SECRET_KEY', '')
    API_PREFIX = ''
    BACKEND_CORS_ORIGINS = ['*']
    DATABASE_URL = os.getenv('SQL_DATABASE_URL', '')
    ACCESS_TOKEN_EXPIRE_SECONDS: int = 60 * 60 * 24 * 7  # Token expired after 7 days
    SECURITY_ALGORITHM = 'HS256'
    LOGGING_CONFIG_FILE = os.path.join(BASE_DIR, 'logging_env.py')


DEBUG = False
if DEBUG:
    LOGS_PATH = "logs/"
    CATEGORY_PATH = "service/attribute/config/descriptor/category/category_dis.csv"
    FACE_CLASSIFIER = "service/generate_image/utils/haarcascade_frontalface_alt.xml"
else:
    LOGS_PATH = "app/logs/"
    CATEGORY_PATH = "app/service/attribute/config/descriptor/category/category_dis.csv"
    FACE_CLASSIFIER = 'app/service/generate_image/utils/haarcascade_frontalface_alt.xml'

# RABBITMQ_ENV = ""  # 生产环境
# RABBITMQ_ENV = "-dev"  # 开发环境
RABBITMQ_ENV = "-local"  # 本地测试环境

settings = Settings()

# minio 配置
MINIO_URL = "www.minio.aida.com.hk:9000"
MINIO_ACCESS = 'vXKFLSJkYeEq2DrSZvkB'
MINIO_SECRET = 'uKTZT3x7C43WvPN9QTc99DiRkwddWZrG9Uh3JVlR'
MINIO_SECURE = True

# redis 配置
REDIS_HOST = "10.1.1.240"
REDIS_PORT = "6379"
REDIS_DB = "2"

# rabbitmq config
RABBITMQ_PARAMS = {
    "host": "18.167.251.121",
    "port": 5672,
    "credentials": pika.credentials.PlainCredentials(username='rabbit', password='123456'),
    "virtual_host": "/"
}

# attribute service config
ATT_TRITON_URL = "10.1.1.240:8020"

# SR service config
SR_MODEL_NAME = "super_resolution"
SR_TRITON_URL = "10.1.1.240:10031"
SR_MINIO_BUCKET = "aida-users"
SR_RABBITMQ_QUEUES = os.getenv("SR_RABBITMQ_QUEUES", f"SuperResolution{RABBITMQ_ENV}")

# GenerateImage service config
GI_MODEL_NAME = 'stable_diffusion_xl_lcm'
GI_MODEL_URL = '10.1.1.150:8001'
GI_MINIO_BUCKET = "aida-users"
GI_RABBITMQ_QUEUES = os.getenv("GI_RABBITMQ_QUEUES", f"GenerateImage{RABBITMQ_ENV}")
GI_SYS_IMAGE_URL = "aida-sys-image/generate_image/white_image.jpg"

# SEG service config
SEG_MODEL_URL = '10.1.1.240:10000'
SEGMENTATION = {
    "name": "seg_ocrnet_hr18",
    "input": "seg_input__0",
    "output": "seg_output__0",
}