from pydantic_settings import BaseSettings
from typing import List, Optional
import os


class Settings(BaseSettings):
    # App
    app_env: str = "development"
    app_secret_key: str = "dev-secret-key"
    allowed_origins: str = "http://localhost:5173,http://localhost:3000"

    # Supabase
    supabase_url: str = ""
    supabase_anon_key: str = ""
    supabase_service_role_key: str = ""

    # Qdrant
    qdrant_url: str = "http://localhost:6333"
    qdrant_api_key: Optional[str] = None

    # LLM Providers
    openai_api_key: Optional[str] = None
    anthropic_api_key: Optional[str] = None
    google_api_key: Optional[str] = None
    fireworks_api_key: Optional[str] = None

    # Embeddings
    embedding_model: str = "text-embedding-3-small"

    # Stripe
    stripe_secret_key: str = ""
    stripe_webhook_secret: str = ""
    stripe_starter_price_id: str = ""
    stripe_pro_price_id: str = ""

    # Redis
    redis_url: str = "redis://localhost:6379"

    # Sentry
    sentry_dsn: Optional[str] = None

    # Files
    max_file_size_mb: int = 50

    @property
    def allowed_origins_list(self) -> List[str]:
        return [o.strip() for o in self.allowed_origins.split(",")]

    class Config:
        env_file = ".env"
        case_sensitive = False


settings = Settings()


# ═══════════════════════════════════════════════════════════════════════════════
# MODEL CATALOG — Single source of truth for all model metadata
# ═══════════════════════════════════════════════════════════════════════════════
# To add a new model:
#   1. Add it here with name/provider/badge/description
#   2. Add its model_id → provider mapping in MODEL_PROVIDERS
#   3. Add it to the appropriate plan(s) in PLAN_LIMITS
# That's it — the frontend loads everything from GET /api/v1/models/available
# ═══════════════════════════════════════════════════════════════════════════════

MODEL_CATALOG = {
    # ── Free tier (Fireworks - lightweight) ────────────────────────────────────
    "accounts/fireworks/models/kimi-k2-instruct-0905": {
        "name": "Kimi K2",
        "provider": "Fireworks AI",
        "badge": "Free",
        "description": "Free model for building and testing chatbots",
    },

    # ── Starter tier (Fireworks - powerful) ────────────────────────────────────
    "accounts/fireworks/models/llama-v3p1-70b-instruct": {
        "name": "Llama 3.1 70B",
        "provider": "Fireworks AI",
        "badge": "Fast",
        "description": "Fast open-source model, great for most tasks",
    },
    "accounts/fireworks/models/mixtral-8x7b-instruct": {
        "name": "Mixtral 8x7B",
        "provider": "Fireworks AI",
        "badge": "Balanced",
        "description": "Balanced speed and quality",
    },
    "accounts/fireworks/models/qwen2p5-72b-instruct": {
        "name": "Qwen 2.5 72B",
        "provider": "Fireworks AI",
        "badge": "Multilingual",
        "description": "Excellent multilingual capabilities",
    },

    # ── Pro tier (Premium providers) ───────────────────────────────────────────
    "gpt-4o": {
        "name": "GPT-4o",
        "provider": "OpenAI",
        "badge": "Powerful",
        "description": "Most capable OpenAI model",
    },
    "gpt-4-turbo": {
        "name": "GPT-4 Turbo",
        "provider": "OpenAI",
        "badge": "Smart",
        "description": "Fast and capable with large context",
    },
    "gpt-3.5-turbo": {
        "name": "GPT-3.5 Turbo",
        "provider": "OpenAI",
        "badge": "Efficient",
        "description": "Cost-effective for simpler tasks",
    },
    "claude-3-5-sonnet-20241022": {
        "name": "Claude 3.5 Sonnet",
        "provider": "Anthropic",
        "badge": "Reasoning",
        "description": "Excellent at analysis and reasoning",
    },
    "claude-3-opus-20240229": {
        "name": "Claude 3 Opus",
        "provider": "Anthropic",
        "badge": "Advanced",
        "description": "Most capable Anthropic model",
    },
    "gemini-1.5-pro": {
        "name": "Gemini 1.5 Pro",
        "provider": "Google",
        "badge": "Long Context",
        "description": "Handles very long documents well",
    },
}


# ─── Model ID → LLM provider mapping (used by llm_client.py for routing) ─────

MODEL_PROVIDERS = {
    "accounts/fireworks/models/kimi-k2-instruct-0905": "fireworks",
    "accounts/fireworks/models/llama-v3p1-70b-instruct": "fireworks",
    "accounts/fireworks/models/mixtral-8x7b-instruct": "fireworks",
    "accounts/fireworks/models/qwen2p5-72b-instruct": "fireworks",
    "gpt-4o": "openai",
    "gpt-4-turbo": "openai",
    "gpt-3.5-turbo": "openai",
    "claude-3-5-sonnet-20241022": "anthropic",
    "claude-3-opus-20240229": "anthropic",
    "gemini-1.5-pro": "google",
}


# ─── Default model per plan (pre-selected in the frontend) ────────────────────

DEFAULT_MODELS = {
    "free": "accounts/fireworks/models/kimi-k2-instruct-0905",
    "starter": "accounts/fireworks/models/llama-v3p1-70b-instruct",
    "pro": "gpt-4o",
    "enterprise": "gpt-4o",
}


# ─── Plan limits ──────────────────────────────────────────────────────────────

PLAN_LIMITS = {
    "free": {
        "max_chatbots": 999999,       # unlimited creation
        "max_published": 0,            # cannot publish
        "models": [
            "accounts/fireworks/models/kimi-k2-instruct-0905",
        ],
        "conversations_limit": 999999,  # unlimited preview
        "code_export": False,
        "features": ["preview_mode", "testing"],
    },
    "starter": {
        "max_chatbots": 999999,
        "max_published": 1,
        "models": [
            "accounts/fireworks/models/kimi-k2-instruct-0905",
            "accounts/fireworks/models/llama-v3p1-70b-instruct",
            "accounts/fireworks/models/mixtral-8x7b-instruct",
            "accounts/fireworks/models/qwen2p5-72b-instruct",
        ],
        "conversations_limit": 5000,
        "code_export": False,
        "features": ["marketplace", "analytics", "branding"],
    },
    "pro": {
        "max_chatbots": 3,
        "max_published": 3,
        "models": [
            "accounts/fireworks/models/kimi-k2-instruct-0905",
            "accounts/fireworks/models/llama-v3p1-70b-instruct",
            "accounts/fireworks/models/mixtral-8x7b-instruct",
            "gpt-4o",
            "gpt-4-turbo",
            "gpt-3.5-turbo",
            "claude-3-5-sonnet-20241022",
            "claude-3-opus-20240229",
            "gemini-1.5-pro",
        ],
        "conversations_limit": 20000,
        "code_export": True,
        "features": [
            "marketplace",
            "code_export",
            "advanced_analytics",
            "priority_support",
            "custom_domain",
            "ab_testing",
        ],
    },
    "enterprise": {
        "max_chatbots": 999999,
        "max_published": 999999,
        "models": ["*"],  # resolves to all MODEL_CATALOG keys
        "conversations_limit": 999999,
        "code_export": True,
        "features": ["*"],
    },
}