from functools import lru_cache
from pathlib import Path

from pydantic import field_validator
from pydantic_settings import BaseSettings, SettingsConfigDict

DEPRECATED_VISION_MODELS: dict[str, str] = {
    "google/gemini-2.0-flash-lite-001": "google/gemini-2.5-flash-lite",
    "google/gemini-2.0-flash-lite": "google/gemini-2.5-flash-lite",
}


def resolve_vision_model(model: str) -> str:
    stripped = model.strip()
    return DEPRECATED_VISION_MODELS.get(stripped, stripped)


class Settings(BaseSettings):
    model_config = SettingsConfigDict(
        env_file=(".env", "../.env"),
        env_file_encoding="utf-8",
        extra="ignore",
    )

    host: str = "0.0.0.0"
    port: int = 8080

    openrouter_api_key: str = ""
    openrouter_model: str = "deepseek/deepseek-chat"
    openrouter_base_url: str = "https://openrouter.ai/api/v1"
    # Отдельная модель для JSON-задач (память, фитнес). Пусто = та же, что OPENROUTER_MODEL.
    memory_extract_model: str = ""
    # Некоторые модели (reasoning / без function calling) — выключить tools.
    openrouter_tools_enabled: bool = True
    # DeepSeek V4 / reasoning: none | low | medium | high | xhigh. none = без thinking.
    openrouter_reasoning_effort: str = "none"
    openrouter_vision_model: str = "google/gemini-2.5-flash-lite"
    vision_max_edge_px: int = 1280
    vision_jpeg_quality: int = 85
    vision_debug_enabled: bool = True
    vision_max_images: int = 8
    uploads_dir: str = "./data/uploads"

    @field_validator("openrouter_vision_model")
    @classmethod
    def migrate_vision_model(cls, value: str) -> str:
        return resolve_vision_model(value)

    database_url: str = "sqlite:///./data/assistant.db"
    cors_origins: str = "http://localhost:5173,http://localhost:8080,http://localhost:3000"
    system_prompt_path: str = "./prompts/assistant.md"
    memory_auto_extract: bool = True

    default_user_username: str = "owner"
    default_user_display_name: str = ""
    default_api_token: str = ""
    auth_required: bool = True

    qdrant_url: str = "http://qdrant:6333"
    embedding_model: str = "openai/text-embedding-3-small"
    rag_enabled: bool = False
    rag_top_k: int = 8
    memory_facts_in_context: int = 8

    # Taiga/Gitea on host (not in Docker) — use host.docker.internal from container
    taiga_base_url: str = "http://host.docker.internal:9000"
    taiga_username: str = ""
    taiga_password: str = ""
    taiga_public_url: str = "https://taiga.grigowashere.ru"

    gitea_base_url: str = "http://host.docker.internal:3000"
    gitea_token: str = ""
    gitea_public_url: str = "https://git.grigowashere.ru"
    gitea_webhook_secret: str = ""

    repos_dir: str = "/data/repos"

    wger_base_url: str = "https://wger.de/api/v2"
    openfoodfacts_base_url: str = "https://world.openfoodfacts.org"
    fitness_reminders_enabled: bool = True
    reminders_enabled: bool = True

    openmeteo_base_url: str = "http://192.168.1.109:8085"
    weather_lat: float = 59.9343
    weather_lon: float = 30.3351
    weather_location_name: str = "Санкт-Петербург"
    weather_cache_sec: int = 300
    weather_forecast_days: int = 7
    openmeteo_fallback_url: str = "https://api.open-meteo.com"
    openmeteo_fallback_on_partial: bool = True

    news_rss_urls: str = (
        "https://habr.com/ru/rss/all/all/,"
        "https://www.reddit.com/r/programming/.rss"
    )
    news_cache_sec: int = 1800
    news_max_items: int = 7

    morning_digest_enabled: bool = True
    morning_digest_hour: int = 8
    morning_digest_minute: int = 0

    comfyui_base_url: str = "http://192.168.1.109:8188"
    comfyui_enabled: bool = True
    # Anima split-model (default): set UNET+CLIP+VAE, leave CHECKPOINT empty
    comfyui_checkpoint: str = ""
    comfyui_unet: str = "anima-preview3-base.safetensors"
    comfyui_clip: str = "qwen_3_06b_base.safetensors"
    comfyui_vae: str = "qwen_image_vae.safetensors"
    comfyui_style_lora: str = "anima-preview-3-masterpieces-v5.safetensors"
    comfyui_style_lora_weight: float = 0.7
    comfyui_steps: int = 30
    comfyui_cfg: float = 4.0
    comfyui_sampler: str = "er_sde"
    comfyui_scheduler: str = "simple"
    comfyui_width: int = 1024
    comfyui_height: int = 720
    comfyui_negative_prompt: str = (
        "worst quality, low quality, score_1, score_2, score_3, blurry, jpeg artifacts, sepia"
    )
    comfyui_poll_interval_sec: float = 2.0
    comfyui_timeout_sec: float = 180.0
    comfyui_rofl_enabled: bool = True
    comfyui_rofl_max_per_day: int = 1
    comfyui_rofl_probability: float = 0.15
    comfyui_rofl_min_interval_hours: int = 12
    generated_media_dir: str = "./data/generated"

    netdata_base_url: str = "http://host.docker.internal:19999"
    netdata_public_url: str = ""
    netdata_alerts_enabled: bool = True
    netdata_poll_interval_sec: int = 120

    rp_chat_base_url: str = "http://host.docker.internal:8201"
    rp_chat_enabled: bool = True
    rp_chat_timeout_sec: float = 300.0

    @property
    def cors_origins_list(self) -> list[str]:
        return [origin.strip() for origin in self.cors_origins.split(",") if origin.strip()]

    @property
    def taiga_configured(self) -> bool:
        return bool(self.taiga_username and self.taiga_password)

    @property
    def gitea_configured(self) -> bool:
        return bool(self.gitea_token)

    @property
    def news_rss_urls_list(self) -> list[str]:
        return [u.strip() for u in self.news_rss_urls.split(",") if u.strip()]

    def load_system_prompt(self) -> str:
        path = Path(self.system_prompt_path)
        if path.is_file():
            return path.read_text(encoding="utf-8")
        return "Ты домашний ИИ-ассистент. Общайся на русском."


@lru_cache
def get_settings() -> Settings:
    return Settings()