"""
Core Settings & Configuration
"""
from pydantic_settings import BaseSettings, SettingsConfigDict
from typing import List, Optional


class Settings(BaseSettings):
    """Configuration de l'application"""

    # API
    API_TITLE: str = "AI Scientific Co-Investigator"
    API_VERSION: str = "1.0.0"
    API_DESCRIPTION: str = "Advanced AI system for multi-document scientific analysis and experimental protocol design"

    # Database — REQUIRED: must be set in .env
    DATABASE_URL: str = "postgresql://user:onion123@localhost:5432/scoinvestigator"
    DB_ECHO: bool = False

    # Security — REQUIRED: must be set in .env
    SECRET_KEY: str = "your-super-secret-key-change-this-in-production-must-be-at-least-32-characters"
    ALGORITHM: str = "HS256"
    ACCESS_TOKEN_EXPIRE_MINUTES: int = 30

    # CORS — comma-separated list of allowed origins
    ALLOWED_ORIGINS: List[str] = ["http://localhost:3000"]

    # K2 Think API
    K2_THINK_API_KEY: Optional[str] = None
    K2_THINK_API_URL: str = "https://api.k2think.com/v1"

    # OpenAI/LLM
    OPENAI_API_KEY: Optional[str] = None
    LLM_MODEL: str = "gpt-4-turbo"

    # RAG
    EMBEDDINGS_MODEL: str = "text-embedding-3-small"
    VECTOR_DB_URL: str = "http://localhost:6333"  # Qdrant
    VECTOR_DB_API_KEY: Optional[str] = None
    CHUNK_SIZE: int = 500
    CHUNK_OVERLAP: int = 50

    # File Upload
    UPLOAD_DIR: str = "./uploaded_files"
    MAX_FILE_SIZE_MB: int = 100

    # Logging
    LOG_LEVEL: str = "INFO"
    LOG_FILE: str = "./logs/app.log"

    # Celery
    CELERY_BROKER_URL: str = "redis://localhost:6379/0"
    CELERY_RESULT_BACKEND: str = "redis://localhost:6379/1"

    # Google OAuth
    GOOGLE_CLIENT_ID: Optional[str] = None
    GOOGLE_CLIENT_SECRET: Optional[str] = None
    GOOGLE_REDIRECT_URI: str = "http://localhost:8000/api/v1/auth/google/callback"

    model_config = SettingsConfigDict(
        env_file=".env",
        case_sensitive=True,
        extra="ignore"
    )


settings = Settings()