from pydantic_settings import BaseSettings


# Each entry: full metadata shown in the model picker UI
AVAILABLE_MODELS: list[dict] = [
    {
        "id": "iiiorg/piiranha-v1-detect-personal-information",
        "label": "Piiranha v1",
        "provider": "iiiorg",
        "params": "110M",
        "quality": "good",
        "quality_score": 2,
        "speed": "fast",
        "entity_types": ["PER", "EMAIL", "PHONE", "ADDRESS", "ORG", "LOC", "DATE", "ID"],
        "description": "Lightweight BERT-based model fine-tuned specifically for PII detection across 8+ entity types. Best for general-purpose anonymization with minimal latency.",
    },
    {
        "id": "dslim/bert-base-NER",
        "label": "BERT-base NER",
        "provider": "dslim",
        "params": "110M",
        "quality": "good",
        "quality_score": 2,
        "speed": "fast",
        "entity_types": ["PER", "ORG", "LOC", "MISC"],
        "description": "Standard CoNLL-2003 NER model. High precision on person names, organizations and locations. Limited to 4 entity types — ideal when false positives matter more than coverage.",
    },
    {
        "id": "Jean-Baptiste/roberta-large-ner-english",
        "label": "RoBERTa-large NER",
        "provider": "Jean-Baptiste",
        "params": "355M",
        "quality": "best",
        "quality_score": 3,
        "speed": "slow",
        "entity_types": ["PER", "ORG", "LOC", "MISC"],
        "description": "355M parameter RoBERTa fine-tuned on OntoNotes 5.0. Highest accuracy on complex/ambiguous text. Significantly slower — use when precision is critical.",
    },
]

DEFAULT_MODEL_ID: str = AVAILABLE_MODELS[0]["id"]


class Settings(BaseSettings):
    # Environment: "local" | "staging" | "production"
    app_env: str = "local"

    default_model_name: str = DEFAULT_MODEL_ID
    host: str = "0.0.0.0"
    port: int = 8000

    # Staging: set FRONTEND_URL=https://your-app.vercel.app in HF Space secrets
    frontend_url: str = ""

    # Base origins always allowed; staging/production add the deployed frontend URL
    @property
    def allowed_origins(self) -> list[str]:
        origins = ["http://localhost:3000", "http://127.0.0.1:3000"]
        if self.frontend_url:
            origins.append(self.frontend_url)
        return origins

    model_config = {"env_file": ".env", "env_file_encoding": "utf-8"}


settings = Settings()