"""Environment-driven configuration."""
from __future__ import annotations

import os
from dataclasses import dataclass
from pathlib import Path

from dotenv import load_dotenv

load_dotenv()


@dataclass(frozen=True)
class Config:
    local_base_url: str
    local_model: str
    mi50_base_url: str  # OpenAI-compatible llama.cpp server on the MI50 box
    mi50_model: str
    openai_api_key: str
    cloud_model: str  # cloud model for bulk/consolidation work (cheap)
    chat_model: str  # cloud model for live chat (stronger; persona fidelity)
    embed_backend: str  # "cloud" (OpenAI) or "local" (Ollama)
    embed_model: str  # OpenAI embedding model
    local_embed_model: str  # Ollama embedding model
    embed_base_url: str  # Ollama endpoint for embeddings (own box, decoupled from local chat)
    summary_backend: str  # "local" or "cloud" — backend used to compact memory
    db_path: Path
    # Proactive reach-out (ntfy push). Empty ntfy_url disables pinging.
    ntfy_url: str          # base url, e.g. "http://10.0.0.41:8090"
    ntfy_topic: str        # topic to publish to, e.g. "lyra"
    web_url: str           # base url of the Lyra web app, for push tap-through links
    timezone: str          # IANA tz for quiet hours / local time
    ping_salience: float   # min thought salience to push (eager = ~0.7)
    ping_cooldown_min: int  # min minutes between pushes (eager = 0)
    ping_quiet_hours: str  # local "start-end" 24h window to stay silent, e.g. "1-9"
    # External input feed (her #1: react to the world). Comma-separated RSS/Atom URLs.
    feeds: tuple[str, ...]
    feed_react_prob: float  # chance a would-be new thread reacts to a feed item instead


def _csv(name: str, default: str) -> tuple[str, ...]:
    raw = os.getenv(name, default)
    return tuple(u.strip() for u in raw.split(",") if u.strip())


def load() -> Config:
    return Config(
        local_base_url=os.getenv("LOCAL_BASE_URL", "http://localhost:11434"),
        local_model=os.getenv("LOCAL_MODEL", "qwen2.5:7b-instruct"),
        mi50_base_url=os.getenv("MI50_BASE_URL", "http://10.0.0.42:8080/v1"),
        mi50_model=os.getenv("MI50_MODEL", "local-gpu"),
        openai_api_key=os.getenv("OPENAI_API_KEY", ""),
        cloud_model=os.getenv("CLOUD_MODEL", "gpt-4o-mini"),
        chat_model=os.getenv("CHAT_MODEL", "gpt-4o"),
        embed_backend=os.getenv("EMBED_BACKEND", "cloud").lower(),
        embed_model=os.getenv("EMBED_MODEL", "text-embedding-3-small"),
        local_embed_model=os.getenv("LOCAL_EMBED_MODEL", "nomic-embed-text"),
        # Embeddings can live on their own always-on box, separate from the local
        # chat backend. Defaults to LOCAL_BASE_URL so existing setups are unchanged.
        embed_base_url=os.getenv("EMBED_BASE_URL", os.getenv("LOCAL_BASE_URL", "http://localhost:11434")),
        summary_backend=os.getenv("SUMMARY_BACKEND", "local").lower(),
        db_path=Path(os.getenv("LYRA_DB_PATH", "data/lyra.db")),
        ntfy_url=os.getenv("NTFY_URL", "").rstrip("/"),
        ntfy_topic=os.getenv("NTFY_TOPIC", "lyra"),
        web_url=os.getenv("LYRA_WEB_URL", "").rstrip("/"),
        timezone=os.getenv("LYRA_TIMEZONE", "America/New_York"),
        ping_salience=float(os.getenv("PING_SALIENCE", "0.7")),
        ping_cooldown_min=int(os.getenv("PING_COOLDOWN_MIN", "0")),
        ping_quiet_hours=os.getenv("PING_QUIET_HOURS", "1-9"),
        feeds=_csv("LYRA_FEEDS", "https://hnrss.org/frontpage,https://www.pokernews.com/rss.php"),
        feed_react_prob=float(os.getenv("FEED_REACT_PROB", "0.5")),
    )