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"""
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期货智析数据库 - 独立存储
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"""
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from pathlib import Path
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from sqlalchemy import create_engine
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from sqlalchemy.orm import sessionmaker, declarative_base
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from datetime import datetime
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# 数据目录
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DATA_DIR = Path(__file__).resolve().parent.parent / "data"
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DATA_DIR.mkdir(parents=True, exist_ok=True)
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ANALYSIS_DB_PATH = DATA_DIR / "futures_analysis.db"
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analysis_engine = create_engine(
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f"sqlite:///{ANALYSIS_DB_PATH}",
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connect_args={"check_same_thread": False},
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pool_pre_ping=True,
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)
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AnalysisSessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=analysis_engine)
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AnalysisBase = declarative_base()
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def get_analysis_db():
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"""获取期货智析数据库会话"""
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db = AnalysisSessionLocal()
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try:
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yield db
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finally:
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db.close()
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def init_analysis_db():
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"""初始化期货智析数据库表"""
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# 确保导入所有模型类，使其注册到 AnalysisBase
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from app import analysis_models
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# 直接导入 analysis_models 模块中的所有类
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from app.analysis_models import (
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FuturesAnalysis, WatchedSymbol, AIModelConfig, AnalysisSettings,
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AIAnalysisCache, ReviewDate, SymbolRanking, TradingPlan,
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SymbolScoreV2, TradingPlanV2, SectorHeat, ReviewPlanV2,
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TradeRecord, TradeImportBatch,
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)
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AnalysisBase.metadata.create_all(bind=analysis_engine)
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# 迁移：为已有表添加新增列（SQLite 不支持 IF NOT EXISTS，用异常处理）
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_migrate_add_columns()
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def _migrate_add_columns():
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"""为已有表添加新增列（兼容旧数据库）"""
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import sqlite3
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conn = sqlite3.connect(str(ANALYSIS_DB_PATH))
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cursor = conn.cursor()
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migrations = [
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("symbol_scores_v2", "data_date", "VARCHAR(16)"),
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("review_plans_v2", "actual_data_date", "VARCHAR(16)"),
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("review_plans_v2", "data_date_matches", "INTEGER"),
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]
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for table, column, col_type in migrations:
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try:
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cursor.execute(f"ALTER TABLE {table} ADD COLUMN {column} {col_type}")
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except sqlite3.OperationalError:
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pass # 列已存在
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conn.commit()
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conn.close()
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