import os
from typing import List, ClassVar
from pydantic_settings import BaseSettings
from pydantic import AnyHttpUrl, field_validator

class Settings(BaseSettings):
    # Project settings
    PROJECT_NAME: str = "SEREACT - Secure Image Management API"
    API_V1_STR: str = "/api/v1"
    
    # Environment
    ENVIRONMENT: str = "development"
    
    # CORS settings
    CORS_ORIGINS: List[str] = ["http://localhost:3000", "http://localhost:8000", "http://127.0.0.1:8000", "http://127.0.0.1:3000", "https://localhost:3000", "https://localhost:8000"]
    
    @field_validator("CORS_ORIGINS", mode="before")
    def assemble_cors_origins(cls, v):
        if isinstance(v, str) and not v.startswith("["):
            return [i.strip() for i in v.split(",")]
        return v
    
    # Firestore settings
    FIRESTORE_PROJECT_ID: str = os.getenv("FIRESTORE_PROJECT_ID", "")
    FIRESTORE_DATABASE_NAME: str = os.getenv("FIRESTORE_DATABASE_NAME", "sereact-db")
    FIRESTORE_CREDENTIALS_FILE: str = os.getenv("FIRESTORE_CREDENTIALS_FILE", "firestore-credentials.json")
    
    # Google Cloud Storage settings
    GCS_BUCKET_NAME: str = os.getenv("GCS_BUCKET_NAME", "image-mgmt-bucket")
    GCS_CREDENTIALS_FILE: str = os.getenv("GCS_CREDENTIALS_FILE", "credentials.json")
    
    # Google Pub/Sub settings
    PUBSUB_TOPIC: str = os.getenv("PUBSUB_TOPIC", "image-processing-topic")
    PUBSUB_SUBSCRIPTION: str = os.getenv("PUBSUB_SUBSCRIPTION", "image-processing-subscription")
    
    # Google Cloud Vision API
    VISION_API_ENABLED: bool = os.getenv("VISION_API_ENABLED", "true").lower() == "true"
    
    # Security settings
    API_KEY_SECRET: str = os.getenv("API_KEY_SECRET", "super-secret-key-for-development-only")
    API_KEY_EXPIRY_DAYS: int = int(os.getenv("API_KEY_EXPIRY_DAYS", "365"))
    
    # Vector Database settings (for image embeddings)
    VECTOR_DB_API_KEY: str = os.getenv("VECTOR_DB_API_KEY", "")
    VECTOR_DB_ENVIRONMENT: str = os.getenv("VECTOR_DB_ENVIRONMENT", "")
    VECTOR_DB_INDEX_NAME: str = os.getenv("VECTOR_DB_INDEX_NAME", "image-embeddings")
    
    # Rate limiting
    RATE_LIMIT_PER_MINUTE: int = int(os.getenv("RATE_LIMIT_PER_MINUTE", "100"))

    # Qdrant settings
    QDRANT_HOST: str = os.getenv("QDRANT_HOST", "localhost")
    QDRANT_PORT: int = int(os.getenv("QDRANT_PORT", "6333"))
    QDRANT_API_KEY: str = os.getenv("QDRANT_API_KEY", "")
    QDRANT_COLLECTION: str = os.getenv("QDRANT_COLLECTION", "image_vectors")
    
    # Logging
    LOG_LEVEL: str = os.getenv("LOG_LEVEL", "INFO")
    
    model_config: ClassVar[dict] = {
        "case_sensitive": True,
        "env_file": ".env"
    }

settings = Settings()