89 lines
2.4 KiB
Python
89 lines
2.4 KiB
Python
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"""
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db/models.py - SQLite 스키마 생성
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기획서 v2.1 기준 4개 테이블
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"""
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import sqlite3
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import os
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DB_PATH = os.getenv("DB_PATH", "data/stockbot.db")
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def init_db():
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os.makedirs(os.path.dirname(DB_PATH), exist_ok=True)
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conn = sqlite3.connect(DB_PATH)
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c = conn.cursor()
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# 체결 내역
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c.execute("""
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CREATE TABLE IF NOT EXISTS trades (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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date TEXT NOT NULL,
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ticker TEXT NOT NULL,
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name TEXT,
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entry_time TEXT NOT NULL,
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exit_time TEXT,
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entry_price REAL NOT NULL,
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exit_price REAL,
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quantity INTEGER NOT NULL,
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side TEXT NOT NULL,
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exit_reason TEXT,
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pnl REAL,
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fee REAL,
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slippage REAL,
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strategy TEXT DEFAULT 'VB',
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ai_boosted INTEGER DEFAULT 0
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)""")
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# 일일 요약
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c.execute("""
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CREATE TABLE IF NOT EXISTS daily_summary (
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date TEXT PRIMARY KEY,
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total_trades INTEGER DEFAULT 0,
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win_trades INTEGER DEFAULT 0,
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lose_trades INTEGER DEFAULT 0,
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gross_pnl REAL DEFAULT 0,
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total_fee REAL DEFAULT 0,
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net_pnl REAL DEFAULT 0,
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max_drawdown REAL DEFAULT 0,
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trading_stopped INTEGER DEFAULT 0
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)""")
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# 포지션 (장중 현황)
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c.execute("""
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CREATE TABLE IF NOT EXISTS positions (
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ticker TEXT PRIMARY KEY,
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name TEXT,
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entry_time TEXT,
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entry_price REAL,
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quantity INTEGER,
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tp1_done INTEGER DEFAULT 0,
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target_price REAL,
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stop_price REAL,
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ai_boosted INTEGER DEFAULT 0
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)""")
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# AI 판단 이력
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c.execute("""
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CREATE TABLE IF NOT EXISTS ai_context_log (
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date TEXT PRIMARY KEY,
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generated_at TEXT,
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trade_allowed INTEGER,
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market_sentiment TEXT,
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sentiment_score INTEGER,
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risk_level TEXT,
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hot_sectors TEXT,
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avoid_sectors TEXT,
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boosted_tickers TEXT,
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blacklist_tickers TEXT,
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position_size_mult REAL,
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reason TEXT,
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claude_tokens_used INTEGER,
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api_call_success INTEGER DEFAULT 1
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)""")
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conn.commit()
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conn.close()
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print(f"DB 초기화 완료: {DB_PATH}")
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def get_conn():
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return sqlite3.connect(DB_PATH)
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