from pydantic_settings import BaseSettings


class Settings(BaseSettings):
    # App
    app_env: str = "dev"
    api_base_url: str = "http://localhost:8000"

    # Auth
    jwt_secret: str
    jwt_alg: str = "HS256"
    jwt_access_ttl_min: int = 15
    jwt_refresh_ttl_days: int = 7
    cookie_domain: str = "localhost"
    cookie_secure: bool = False
    cookie_samesite: str = "Lax"

    # Database
    mongodb_uri: str
    mongodb_db: str = "accessible_video"

    # Redis
    redis_url: str
    
    # Celery
    celery_broker_url: str = ""
    celery_result_backend: str = ""

    # GCP
    gcp_project_id: str
    gcs_bucket: str = "accessible-video"
    google_application_credentials: str = ""

    # AI Services
    gemini_api_key: str
    elevenlabs_api_key: str = ""
    google_tts_credentials: str = ""
    
    # TTS Voice Configuration
    tts_provider: str = "gemini"  # "gemini", "google", or "elevenlabs"
    google_tts_voices: dict[str, str] = {
        "en-US": "en-US-Neural2-D",
        "es-ES": "es-ES-Neural2-A",
        "fr-FR": "fr-FR-Neural2-A",
        "de-DE": "de-DE-Neural2-B"
    }
    # Deprecated: ElevenLabs voices are now fetched dynamically via the API.
    # This fallback map is only used by _get_elevenlabs_voice() when no voice_name is provided.
    elevenlabs_voices: dict[str, str] = {}

    # Gemini TTS Configuration
    gemini_tts_model: str = "gemini-2.5-flash-preview-tts"
    gemini_tts_default_voice: str = "Kore"
    gemini_tts_voices: list[str] = [
        "Zephyr", "Puck", "Charon", "Kore", "Fenrir", "Leda", "Orus", "Aoede",
        "Callirrhoe", "Autonoe", "Enceladus", "Iapetus", "Umbriel", "Algieba",
        "Despina", "Erinome", "Algenib", "Rasalgethi", "Laomedeia", "Achernar",
        "Alnilam", "Schedar", "Gacrux", "Pulcherrima", "Achird", "Zubenelgenubi",
        "Vindemiatrix", "Sadachbia", "Sadaltager", "Sulafat"
    ]
    gemini_tts_languages: dict[str, str] = {
        "en": "en-US",
        "es": "es-US",
        "fr": "fr-FR",
        "de": "de-DE",
        "it": "it-IT",
        "pt": "pt-BR",
        "ja": "ja-JP",
        "ko": "ko-KR",
        "ar": "ar-EG",
        "hi": "hi-IN",
        "id": "id-ID",
        "nl": "nl-NL",
        "pl": "pl-PL",
        "ru": "ru-RU",
        "th": "th-TH",
        "tr": "tr-TR",
        "vi": "vi-VN",
        "ro": "ro-RO",
        "uk": "uk-UA",
        "bn": "bn-BD",
        "mr": "mr-IN",
        "ta": "ta-IN",
        "te": "te-IN",
        "zh": "zh-CN",
        "cs": "cs-CZ",
        "da": "da-DK",
        "fi": "fi-FI",
        "hu": "hu-HU",
        "no": "nb-NO",
        "sk": "sk-SK",
        "sv": "sv-SE",
        "es-419": "es-US",
        "pt-BR": "pt-BR",
        "fr-CA": "fr-CA"
    }
    gemini_tts_language_names: dict[str, str] = {
        "en": "English",
        "es": "Spanish",
        "fr": "French",
        "de": "German",
        "it": "Italian",
        "pt": "Portuguese",
        "ja": "Japanese",
        "ko": "Korean",
        "ar": "Arabic",
        "hi": "Hindi",
        "id": "Indonesian",
        "nl": "Dutch",
        "pl": "Polish",
        "ru": "Russian",
        "th": "Thai",
        "tr": "Turkish",
        "vi": "Vietnamese",
        "ro": "Romanian",
        "uk": "Ukrainian",
        "bn": "Bengali",
        "mr": "Marathi",
        "ta": "Tamil",
        "te": "Telugu",
        "zh": "Chinese",
        "cs": "Czech",
        "da": "Danish",
        "fi": "Finnish",
        "hu": "Hungarian",
        "no": "Norwegian",
        "sk": "Slovak",
        "sv": "Swedish",
        "es-419": "Spanish (Latin America)",
        "pt-BR": "Portuguese (Brazil)",
        "fr-CA": "French (Canada)"
    }
    gemini_tts_preview_samples: dict[str, str] = {
        "en": "This is a preview of the audio description voice.",
        "es": "Esta es una vista previa de la voz de audiodescripcion.",
        "fr": "Ceci est un apercu de la voix de l'audiodescription.",
        "de": "Dies ist eine Vorschau der Audiodeskriptionsstimme.",
        "it": "Questa e un'anteprima della voce dell'audiodescrizione.",
        "pt": "Esta e uma previa da voz da audiodescricao.",
        "ja": "これは音声解説の声のプレビューです。",
        "ko": "이것은 오디오 설명 음성의 미리보기입니다.",
        "ar": "هذه معاينة لصوت الوصف الصوتي.",
        "hi": "यह ऑडियो विवरण आवाज का पूर्वावलोकन है।",
        "id": "Ini adalah pratinjau suara deskripsi audio.",
        "nl": "Dit is een voorbeeld van de audiodescriptiestem.",
        "pl": "To jest podglad glosu audiodeskrypcji.",
        "ru": "Это предварительный просмотр голоса аудиоописания.",
        "th": "นี่คือตัวอย่างเสียงบรรยายภาพ",
        "tr": "Bu, sesli betimleme sesinin bir onizlemesidir.",
        "vi": "Day la ban xem truoc giong mo ta am thanh.",
        "ro": "Aceasta este o previzualizare a vocii descrierii audio.",
        "uk": "Це попередній перегляд голосу аудіоопису.",
        "bn": "এটি অডিও বর্ণনা ভয়েসের একটি প্রিভিউ।",
        "mr": "हे ऑडिओ वर्णन आवाजाचे पूर्वावलोकन आहे.",
        "ta": "இது ஆடியோ விளக்க குரலின் முன்னோட்டம்.",
        "te": "ఇది ఆడియో వివరణ స్వరం యొక్క ప్రివ్యూ.",
        "zh": "这是音频描述语音的预览。",
        "cs": "Toto je náhled hlasu zvukového popisu.",
        "da": "Dette er en forhåndsvisning af lydbeskrivelsesstemmen.",
        "fi": "Tämä on äänikuvauksen äänen esikatselu.",
        "hu": "Ez a hangos leírás hangjának előnézete.",
        "no": "Dette er en forhåndsvisning av lydbeskrivelsesstemmen.",
        "sk": "Toto je náhľad hlasu zvukového popisu.",
        "sv": "Det här är en förhandsgranskning av ljudbeskrivningsrösten.",
        "es-419": "Esta es una vista previa de la voz de audiodescripción.",
        "pt-BR": "Esta é uma prévia da voz da audiodescrição.",
        "fr-CA": "Ceci est un aperçu de la voix de l'audiodescription."
    }

    # Gemini TTS Model Options
    gemini_tts_models: dict[str, str] = {
        "flash": "gemini-2.5-flash-preview-tts",  # Fast, cost-efficient
        "pro": "gemini-2.5-pro-preview-tts",      # Higher quality
    }

    # Gemini TTS Style Presets - prompts prepended to text for style control
    gemini_tts_style_prompts: dict[str, str] = {
        "neutral": "",  # No modification
        "calm": "Speak in a calm, gentle, and soothing manner with a relaxed pace. ",
        "energetic": "Speak with energy and enthusiasm, maintaining an upbeat and dynamic tone. ",
        "professional": "Speak in a clear, professional, and authoritative manner suitable for corporate content. ",
        "warm": "Speak in a warm, friendly, and approachable manner as if speaking to a friend. ",
        "documentary": "Speak in a measured, informative tone similar to a documentary narrator, with clear enunciation and appropriate pauses. ",
    }

    # TTS Speed range configuration
    gemini_tts_speed_min: float = 0.5
    gemini_tts_speed_max: float = 2.0
    gemini_tts_speed_default: float = 1.0
    gemini_tts_speed_step: float = 0.1

    # Whisper Configuration (for pause point refinement)
    whisper_model: str = "medium"  # Options: tiny, base, small, medium, large-v3
    whisper_max_search_window: float = 30.0  # Max seconds to search for speech gap after Gemini point
    whisper_sentence_gap_threshold: float = 0.5  # Gap duration to classify as sentence boundary
    whisper_phrase_gap_threshold: float = 0.3  # Gap duration to classify as phrase boundary
    whisper_min_gap_threshold: float = 0.15  # Minimum gap duration to consider

    # Cloud Run Service URLs (empty = use local processing)
    # When set, CPU-intensive work is offloaded to Cloud Run with autoscaling
    whisper_service_url: str = ""  # e.g., "https://whisper-service-xxx.run.app"
    ffmpeg_service_url: str = ""   # e.g., "https://ffmpeg-service-xxx.run.app"

    # Celery Worker Concurrency Settings
    # When using Cloud Run, workers just make HTTP calls so can handle more concurrent tasks
    # When running locally, concurrency is limited by CPU/RAM constraints
    #
    # Recommended settings:
    #   Cloud Run mode: WHISPER_WORKER_CONCURRENCY=10, FFMPEG_WORKER_CONCURRENCY=20
    #   Local mode:     WHISPER_WORKER_CONCURRENCY=1,  FFMPEG_WORKER_CONCURRENCY=2
    worker_concurrency: int = 8          # Main worker (default,ingest,notify,render)
    whisper_worker_concurrency: int = 1  # Whisper worker (default: 1 for local RAM constraints)
    ffmpeg_worker_concurrency: int = 4   # FFmpeg tasks on main worker
    tts_worker_concurrency: int = 8      # TTS worker

    # Email (Mailgun — primary; sendgrid_api_key kept for backward compat)
    mailgun_api_key: str = ""
    mailgun_domain: str = "mg.oliver.solutions"
    mailgun_from: str = "noreply@mg.oliver.solutions"
    sendgrid_api_key: str = ""
    email_from: str = "noreply@mg.oliver.solutions"
    client_base_url: str

    # Microsoft Authentication (Azure AD)
    azure_client_id: str = ""
    azure_authority: str = ""
    azure_redirect_uri: str = ""

    # Observability
    sentry_dsn: str = ""
    otel_exporter_otlp_endpoint: str = ""

    # AI Cost Tracker (direct HTTP — see services/cost_tracker.py)
    cost_tracker_base_url: str = ""
    cost_tracker_api_key: str = ""
    cost_tracker_source_app: str = "video-accessibility"
    cost_tracker_enabled: bool = True

    # CORS - comma-separated list of allowed origins
    cors_origins: str = "http://localhost:5173,http://localhost:5174,http://localhost:3000,http://localhost:6001"

    @property
    def cors_origins_list(self) -> list[str]:
        """Parse CORS origins from comma-separated string to list."""
        return [origin.strip() for origin in self.cors_origins.split(",") if origin.strip()]

    class Config:
        env_file = ".env"


settings = Settings()


def get_settings():
    """Get settings instance - for dependency injection"""
    return settings