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"""

์„ค์ • ๊ด€๋ฆฌ ๋ชจ๋“ˆ

ํ™˜๊ฒฝ ๋ณ€์ˆ˜ ๋ฐ ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜ ์„ค์ •์„ ๊ด€๋ฆฌํ•ฉ๋‹ˆ๋‹ค.

"""

import os
from pathlib import Path
from typing import Optional
from dotenv import load_dotenv

# .env ํŒŒ์ผ ๋กœ๋“œ
load_dotenv()

# ํ”„๋กœ์ ํŠธ ๋ฃจํŠธ ๋””๋ ‰ํ† ๋ฆฌ
PROJECT_ROOT = Path(__file__).parent.parent.parent

class Config:
    """์• ํ”Œ๋ฆฌ์ผ€์ด์…˜ ์„ค์ • ํด๋ž˜์Šค"""
    
    # Flask ์„ค์ •
    SECRET_KEY: str = os.getenv('SECRET_KEY', 'dev-secret-key-change-in-production')
    
    # ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค URI ์„ค์ •
    # PostgreSQL: postgresql://user:password@host:port/database
    # SQLite (๊ธฐ๋ณธ๊ฐ’): sqlite:///instance/finance_analysis.db
    _database_url = os.getenv('DATABASE_URL', '')
    if _database_url and (_database_url.startswith('postgresql://') or _database_url.startswith('postgres://')):
        # PostgreSQL URL์ด ์ œ๊ณต๋˜๋ฉด ์‚ฌ์šฉ
        SQLALCHEMY_DATABASE_URI: str = _database_url
    else:
        # ๊ธฐ๋ณธ๊ฐ’: SQLite ์‚ฌ์šฉ
        if _database_url:
            # DATABASE_URL์ด ์„ค์ •๋˜์—ˆ์ง€๋งŒ PostgreSQL ํ˜•์‹์ด ์•„๋‹Œ ๊ฒฝ์šฐ ๊ฒฝ๊ณ 
            import warnings
            warnings.warn(f"DATABASE_URL์ด ์„ค์ •๋˜์—ˆ์ง€๋งŒ PostgreSQL ํ˜•์‹์ด ์•„๋‹™๋‹ˆ๋‹ค. SQLite๋ฅผ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค: {_database_url[:50]}...")
        SQLALCHEMY_DATABASE_URI: str = f'sqlite:///{PROJECT_ROOT / "instance" / "finance_analysis.db"}'
    SQLALCHEMY_TRACK_MODIFICATIONS: bool = False
    MAX_CONTENT_LENGTH: int = 100 * 1024 * 1024  # 100MB
    
    # Ollama ์„ค์ •
    OLLAMA_BASE_URL: str = os.getenv('OLLAMA_BASE_URL', 'http://localhost:11434')
    
    # ๊ฒฝ๋กœ ์„ค์ •
    UPLOAD_FOLDER: Path = PROJECT_ROOT / 'uploads'
    VECTOR_DB_PATH: Path = PROJECT_ROOT / 'vector_db'
    KNOWLEDGE_GRAPH_PATH: Path = PROJECT_ROOT / 'knowledge_graphs'
    TEMPLATES_FOLDER: Path = PROJECT_ROOT / 'templates'
    STATIC_FOLDER: Path = PROJECT_ROOT / 'static'
    INSTANCE_FOLDER: Path = PROJECT_ROOT / 'instance'
    
    # ํŒŒ์ผ ํ™•์žฅ์ž ์„ค์ •
    ALLOWED_EXTENSIONS: set[str] = {'txt', 'md', 'pdf', 'docx', 'epub'}
    
    # ์ž„๋ฒ ๋”ฉ ๋ชจ๋ธ ์„ค์ •
    EMBEDDING_MODEL_NAME: str = os.getenv('EMBEDDING_MODEL_NAME', 'sentence-transformers/all-MiniLM-L6-v2')
    RERANKER_MODEL_NAME: str = os.getenv('RERANKER_MODEL_NAME', 'BAAI/bge-reranker-base')
    
    # Gemini API ์„ค์ •
    GEMINI_API_KEY: Optional[str] = os.getenv('GEMINI_API_KEY', None)
    
    @classmethod
    def ensure_directories(cls) -> None:
        """ํ•„์ˆ˜ ๋””๋ ‰ํ† ๋ฆฌ ์ƒ์„ฑ"""
        cls.UPLOAD_FOLDER.mkdir(parents=True, exist_ok=True)
        cls.VECTOR_DB_PATH.mkdir(parents=True, exist_ok=True)
        cls.KNOWLEDGE_GRAPH_PATH.mkdir(parents=True, exist_ok=True)
        cls.STATIC_FOLDER.mkdir(parents=True, exist_ok=True)
        cls.INSTANCE_FOLDER.mkdir(parents=True, exist_ok=True)


def get_config() -> Config:
    """์„ค์ • ์ธ์Šคํ„ด์Šค ๋ฐ˜ํ™˜"""
    return Config