from functools import lru_cache

from pydantic_settings import BaseSettings


class Settings(BaseSettings):
    database_url: str = "postgresql://nvi:nvi@postgres:5432/nvi"

    # Active dataset. Matches: api/datasets/<name>/, the Postgres schema, and
    # ctrl/seed/data/<name>.sqlite. Restart the api to switch.
    dataset: str = "financial"

    # LLM provider. Supported: "groq", "anthropic", "openai".
    llm_provider: str = "groq"

    anthropic_api_key: str = ""
    anthropic_model: str = "claude-sonnet-4-6"

    # Groq is OpenAI-API-compatible; we hit it via the openai SDK with a base_url override.
    groq_api_key: str = ""
    groq_model: str = "llama-3.3-70b-versatile"
    groq_base_url: str = "https://api.groq.com/openai/v1"

    openai_api_key: str = ""
    openai_model: str = "gpt-4o-mini"
    openai_base_url: str = "https://api.openai.com/v1"

    langfuse_host: str = "http://lng.local.ar"
    langfuse_public_key: str = ""
    langfuse_secret_key: str = ""

    model_config = {"env_prefix": "", "case_sensitive": False}


@lru_cache
def get_settings() -> Settings:
    return Settings()