"""
期货智析数据库 - 独立存储
"""
from pathlib import Path
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker, declarative_base
from datetime import datetime

# 数据目录
DATA_DIR = Path(__file__).resolve().parent.parent / "data"
DATA_DIR.mkdir(parents=True, exist_ok=True)

ANALYSIS_DB_PATH = DATA_DIR / "futures_analysis.db"

analysis_engine = create_engine(
    f"sqlite:///{ANALYSIS_DB_PATH}",
    connect_args={"check_same_thread": False},
    pool_pre_ping=True,
)

AnalysisSessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=analysis_engine)
AnalysisBase = declarative_base()


def get_analysis_db():
    """获取期货智析数据库会话"""
    db = AnalysisSessionLocal()
    try:
        yield db
    finally:
        db.close()


def init_analysis_db():
    """初始化期货智析数据库表"""
    # 确保导入所有模型类，使其注册到 AnalysisBase
    from app import analysis_models
    # 直接导入 analysis_models 模块中的所有类
    from app.analysis_models import (
        FuturesAnalysis, WatchedSymbol, AIModelConfig, AnalysisSettings,
        AIAnalysisCache, ReviewDate, SymbolRanking, TradingPlan,
        SymbolScoreV2, TradingPlanV2, SectorHeat, ReviewPlanV2,
        TradeRecord, TradeImportBatch,
    )
    AnalysisBase.metadata.create_all(bind=analysis_engine)

    # 迁移：为已有表添加新增列（SQLite 不支持 IF NOT EXISTS，用异常处理）
    _migrate_add_columns()


def _migrate_add_columns():
    """为已有表添加新增列（兼容旧数据库）"""
    import sqlite3
    conn = sqlite3.connect(str(ANALYSIS_DB_PATH))
    cursor = conn.cursor()

    migrations = [
        ("symbol_scores_v2", "data_date", "VARCHAR(16)"),
        ("review_plans_v2", "actual_data_date", "VARCHAR(16)"),
        ("review_plans_v2", "data_date_matches", "INTEGER"),
    ]

    for table, column, col_type in migrations:
        try:
            cursor.execute(f"ALTER TABLE {table} ADD COLUMN {column} {col_type}")
        except sqlite3.OperationalError:
            pass  # 列已存在

    conn.commit()
    conn.close()