from typing import Literal

from pydantic_settings import BaseSettings


class Settings(BaseSettings):
    # LLM
    llm_provider: Literal["anthropic", "openai", "gemini", "openrouter"] = "anthropic"
    llm_model: str = "claude-sonnet-4-6"

    # API Keys
    anthropic_api_key: str = ""
    openai_api_key: str = ""
    gemini_api_key: str = ""
    openrouter_api_key: str = ""

    # LandingAI ADE
    landingai_api_key: str = ""

    # PDF Parser: "landingai" | "docling"
    # "docling" uses a self-hosted Kaggle server discovered via ntfy.sh
    pdf_parser: Literal["landingai", "docling"] = "landingai"
    # Minimum extracted markdown length to consider a parse successful. Below this
    # the pipeline fails fast instead of generating a review from empty text.
    min_parsed_markdown_chars: int = 100

    # ntfy.sh topic used to discover the Docling server URL from Kaggle
    ntfy_topic: str = "papermate_pdf2md"

    # Tavily
    tavily_api_key: str = ""
    # Tavily has no per-call credit API, so cost is computed locally:
    #   cost_usd = successful_searches * tavily_credits_per_search * tavily_price_per_credit
    # Basic search = 1 credit; pricing snapshot $0.008/credit.
    tavily_price_per_credit: float = 0.008
    tavily_credits_per_search: int = 1

    # App
    app_base_url: str = "http://localhost:8000"
    max_file_size_mb: int = 10
    jobs_dir: str = "data/jobs"
    logs_dir: str = "data/logs"

    # Supabase
    supabase_url: str = ""
    supabase_service_role_key: str = ""
    supabase_anon_key: str = ""           # public key for the frontend (login)
    supabase_jwt_secret: str = ""         # only needed for local HS256 verify (unused by default)
    supabase_storage_bucket: str = "paper-review-artifacts"

    # Auth / RBAC
    # Comma-separated emails auto-promoted to admin on first login (also seed via SQL).
    admin_emails: str = ""
    # When False, anonymous submit (email + access_key) keeps working as before.
    auth_required_for_submit: bool = False

    # Quota (per logged-in user, per calendar month). null/0 = unlimited.
    default_monthly_review_limit: int = 0
    default_monthly_cost_limit_usd: float = 0.0
    # Dashboard cost alert: flag a day whose total cost exceeds this (USD). 0 = off.
    cost_alert_daily_usd: float = 0.0

    # Manual pricing snapshots, USD per 1M tokens. These default to zero so
    # missing prices never block review generation.
    openai_input_price_per_1m: float | None = None
    openai_output_price_per_1m: float | None = None
    anthropic_input_price_per_1m: float | None = None
    anthropic_output_price_per_1m: float | None = None
    gemini_input_price_per_1m: float | None = None
    gemini_output_price_per_1m: float | None = None
    openrouter_input_price_per_1m: float | None = None
    openrouter_output_price_per_1m: float | None = None

    class Config:
        env_file = ".env"
        env_file_encoding = "utf-8"
        extra = "ignore"  # ignore unrelated env vars (e.g. HF_TOKEN, DOCLING_HF_SPACE)


settings = Settings()