from __future__ import annotations

import os
from dataclasses import dataclass
from pathlib import Path
from typing import Dict, Optional


@dataclass(frozen=True)
class Settings:
    openai_api_key: Optional[str]
    qdrant_url: str
    qdrant_api_key: Optional[str]
    qdrant_collection: str
    redmine_url: str
    redmine_api_key: Optional[str]
    redmine_project_identifier: Optional[str]
    sample_limit: int
    bind_host: str
    bind_port: int
    service_api_key: Optional[str]
    refresh_state_path: Path


def load_dotenv(path: str | Path = ".env") -> Dict[str, str]:
    values: Dict[str, str] = {}
    dotenv = Path(path)
    if not dotenv.exists():
        return values
    for raw_line in dotenv.read_text(encoding="utf-8").splitlines():
        line = raw_line.strip()
        if not line or line.startswith("#") or "=" not in line:
            continue
        key, value = line.split("=", 1)
        values[key.strip()] = value.strip().strip('"').strip("'")
    return values


def resolve_dotenv_path(dotenv_path: str | Path = ".env") -> Path:
    primary = Path(dotenv_path)
    if primary.exists():
        return primary
    package_env = primary.parent / "semantic_index" / ".env"
    if package_env.exists():
        return package_env
    return primary


def load_settings(dotenv_path: str | Path = ".env") -> Settings:
    env = {**load_dotenv(resolve_dotenv_path(dotenv_path)), **os.environ}
    return Settings(
        openai_api_key=env.get("OPENAI_API_KEY"),
        qdrant_url=env.get("QDRANT_URL", "http://localhost:6333"),
        qdrant_api_key=env.get("QDRANT_API_KEY"),
        qdrant_collection=env.get("QDRANT_COLLECTION", "redmine_semantic_sample"),
        redmine_url=env.get("REDMINE_URL", "http://localhost"),
        redmine_api_key=env.get("REDMINE_API_KEY"),
        redmine_project_identifier=env.get("REDMINE_PROJECT_IDENTIFIER"),
        sample_limit=int(env.get("REDMINE_SAMPLE_LIMIT", "500")),
        bind_host=env.get("SEMANTIC_INDEX_HOST", "127.0.0.1"),
        bind_port=int(env.get("SEMANTIC_INDEX_PORT", "8787")),
        service_api_key=env.get("SEMANTIC_INDEX_API_KEY"),
        refresh_state_path=Path(env.get("SEMANTIC_INDEX_REFRESH_STATE_PATH", ".cache/semantic_index/refresh_state.json")),
    )