"""
    Project's config
"""
import os
from dotenv import load_dotenv
from pydantic_settings import BaseSettings, SettingsConfigDict

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

class Settings(BaseSettings):

    # model config
    MODEL_ID: str = os.getenv('MODEL_ID')
    MAX_NEW_TOKENS: int = int(os.getenv("MAX_NEW_TOKENS"))
    MODEL_API_KEY: str = os.getenv('MODEL_API_KEY')
    
    #openai config
    OPENAI_API_KEY: str = os.getenv("OPENAI_API_KEY")
    OPENAI_MODEL: str = os.getenv("OPENAI_MODEL")
    OPENAI_EMBEDDING_MODEL: str = os.getenv("OPENAI_EMBEDDING_MODEL")
    OPENAI_EMBEDDING_MODEL_DIMS: int = int(os.getenv("OPENAI_EMBEDDING_MODEL_DIMS"))

    #helpers config
    COHERE_API_KEY: str = os.getenv("COHERE_API_KEY")
    MAX_NEW_TOKENS: int = int(os.getenv('MAX_NEW_TOKENS'))
    MAX_OVERLAPS: int = int(os.getenv("MAX_OVERLAPS"))

    # server config
    SV_HOST: str = os.getenv('SV_HOST')
    SV_PORT: int = int(os.getenv('SV_PORT'))
    
    # embedding model config
    EMBEDDING_MODEL: str = os.getenv('EMBEDDING_MODEL')
    EMBEDDING_MODEL_API_KEY: str = os.getenv('EMBEDDING_MODEL_API_KEY')
    EMBEDDING_MODEL_DIMENSIONS: int = int(os.getenv('EMBEDDING_MODEL_DIMENSIONS'))

    #data and database path
    CHROMA_DIR: str = os.getenv("CHROMA_DIR")
    CHROMA_COLLECTION: str = os.getenv("CHROMA_COLLECTION")
    CSS_PATH: str = os.getenv("CSS_PATH")    
    RAW_DATA_DIR: str = os.getenv("RAW_DATA_DIR")


settings = Settings()