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

from app.mysql_database import MySQLSessionLocal
from app.storage_manager import get_storage_manager

logger = logging.getLogger(__name__)

# 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。

    根据 MySQL 可用性动态选择后端：
    - MySQL 可用时返回 MySQL Session
    - MySQL 不可用时返回 SQLite Session（兜底）
    """
    storage = get_storage_manager()

    if MySQLSessionLocal is not None and storage.check_mysql():
        db = None
        try:
            db = MySQLSessionLocal()
            yield db
        except Exception as e:
            logger.warning(f"创建 MySQL analysis session 失败，降级到 SQLite: {e}")
            if db is not None:
                try:
                    db.close()
                except Exception:
                    pass
            db = AnalysisSessionLocal()
            yield db
        finally:
            if db is not None:
                try:
                    db.close()
                except Exception:
                    pass
    else:
        db = AnalysisSessionLocal()
        try:
            yield db
        finally:
            db.close()


def init_analysis_db():
    """初始化期货智析数据库表（SQLite 兜底）。"""
    # 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,
        TradePair, TradeReflection, DailyReflection, TradeTag, TradeRecordTag, TradeExperience,
    )
    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()

    # 初始化预设标签
    _init_preset_tags()


def init_analysis_mysql(mysql_engine):
    """初始化期货智析数据库表（MySQL）。"""
    from app import analysis_models
    from app.analysis_models import (
        FuturesAnalysis, WatchedSymbol, AIModelConfig, AnalysisSettings,
        AIAnalysisCache, ReviewDate, SymbolRanking, TradingPlan,
        SymbolScoreV2, TradingPlanV2, SectorHeat, ReviewPlanV2,
        TradeRecord, TradeImportBatch,
        TradePair, TradeReflection, DailyReflection, TradeTag, TradeRecordTag, TradeExperience,
    )
    AnalysisBase.metadata.create_all(bind=mysql_engine)
    logger.info("MySQL analysis 表结构初始化完成")


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()


def _init_preset_tags():
    """初始化预设标签"""
    from app.analysis_models import TradeTag
    from sqlalchemy import inspect

    session = get_analysis_session()
    try:
        # 检查表是否存在
        inspector = inspect(session.get_bind())
        if 'trade_tags' not in inspector.get_table_names():
            return

        # 检查是否已有预设标签
        existing = session.query(TradeTag).filter_by(is_preset=True).first()
        if existing:
            return

        preset_tags = [
            # 操作类
            TradeTag(name="追涨杀跌", category="operation", is_preset=True),
            TradeTag(name="逆市操作", category="operation", is_preset=True),
            TradeTag(name="提前入场", category="operation", is_preset=True),
            TradeTag(name="延迟出场", category="operation", is_preset=True),
            TradeTag(name="加仓过早", category="operation", is_preset=True),
            TradeTag(name="减仓过晚", category="operation", is_preset=True),
            # 心态类
            TradeTag(name="情绪化交易", category="mindset", is_preset=True),
            TradeTag(name="恐惧平仓", category="mindset", is_preset=True),
            TradeTag(name="贪婪持仓", category="mindset", is_preset=True),
            TradeTag(name="侥幸心理", category="mindset", is_preset=True),
            # 纪律类
            TradeTag(name="严格执行计划", category="discipline", is_preset=True),
            TradeTag(name="违反止损", category="discipline", is_preset=True),
            TradeTag(name="超仓交易", category="discipline", is_preset=True),
            TradeTag(name="频繁交易", category="discipline", is_preset=True),
            # 技术类
            TradeTag(name="突破交易", category="technical", is_preset=True),
            TradeTag(name="回调交易", category="technical", is_preset=True),
            TradeTag(name="趋势跟踪", category="technical", is_preset=True),
            TradeTag(name="震荡交易", category="technical", is_preset=True),
            TradeTag(name="反转交易", category="technical", is_preset=True),
        ]
        session.add_all(preset_tags)
        session.commit()
    except Exception:
        session.rollback()
    finally:
        session.close()