"""
Central configuration for the Ms. Q backend.
All values are pulled from environment variables so nothing sensitive
is ever hard-coded. Copy .env.example to .env locally, and set the same
keys as "Secrets" in your Hugging Face Space settings when deploying.
"""
import os
from pydantic_settings import BaseSettings


class Settings(BaseSettings):
    # MongoDB Atlas
    MONGODB_URI: str = os.getenv("MONGODB_URI", "")
    MONGODB_DB_NAME: str = os.getenv("MONGODB_DB_NAME", "msq_db")

    # Auth
    JWT_SECRET: str = os.getenv("JWT_SECRET", "change-this-in-production")
    JWT_ALGORITHM: str = "HS256"
    JWT_EXPIRE_MINUTES: int = 60 * 24 * 7  # 7 days

    # ---- LLM provider ----
    # "groq"      -> free, no credit card (default for launch)
    # "anthropic" -> paid, higher quality (upgrade path)
    LLM_PROVIDER: str = os.getenv("LLM_PROVIDER", "groq")

    GROQ_API_KEY: str = os.getenv("GROQ_API_KEY", "")
    GROQ_MODEL: str = os.getenv("GROQ_MODEL", "openai/gpt-oss-120b")

    ANTHROPIC_API_KEY: str = os.getenv("ANTHROPIC_API_KEY", "")
    ANTHROPIC_MODEL: str = os.getenv("ANTHROPIC_MODEL", "claude-sonnet-4-6")

    # ---- Live web search (optional, free) ----
    # Free key - https://app.tavily.com (1,000 searches/month, no credit card).
    # Leave blank to disable - Ms. Q just won't be offered the search tool.
    TAVILY_API_KEY: str = os.getenv("TAVILY_API_KEY", "")

    # ---- Document memory / RAG ----
    # Name of the MongoDB Atlas Vector Search index (see DEPLOYMENT_GUIDE.md
    # for the one-time setup step in the Atlas UI).
    VECTOR_INDEX_NAME: str = os.getenv("VECTOR_INDEX_NAME", "vector_index")

    # ---- Text-to-speech provider ----
    # "piper"      -> free, self-hosted, no API key, reliable on cloud hosts (default for launch)
    # "edge"       -> free, no API key, but often blocked from cloud/datacenter IPs
    # "elevenlabs" -> paid, most expressive voices (upgrade path)
    TTS_PROVIDER: str = os.getenv("TTS_PROVIDER", "piper")

    PIPER_MODEL_PATH: str = os.getenv("PIPER_MODEL_PATH", "/app/voices/en_US-lessac-medium.onnx")

    EDGE_TTS_VOICE: str = os.getenv("EDGE_TTS_VOICE", "en-US-AriaNeural")

    ELEVENLABS_API_KEY: str = os.getenv("ELEVENLABS_API_KEY", "")
    ELEVENLABS_VOICE_ID: str = os.getenv("ELEVENLABS_VOICE_ID", "21m00Tcm4TlvDq8ikWAM")  # default calm female voice

    # CORS - your deployed Vercel URL(s), comma separated
    ALLOWED_ORIGINS: str = os.getenv("ALLOWED_ORIGINS", "http://localhost:3000")

    class Config:
        env_file = ".env"


settings = Settings()