Files
crpto_predictor/data/trading_db.py
crypto_predictor 55453d3739 feat(frontend): 添加交易看板,统一时区为CST
refactor(db): 移除所有SQLite相关代码,迁移至MySQL
2026-02-07 16:48:14 +08:00

111 lines
4.1 KiB
Python

import pymysql
from datetime import datetime
import json
import os
from contextlib import contextmanager
from dotenv import load_dotenv
load_dotenv()
class TradingDatabase:
"""交易数据库管理类 - 用于记录交易历史和预测结果 (MySQL)"""
def __init__(self, db_path=None):
"""初始化 (db_path 参数已废弃,仅为兼容性保留)"""
self._init_db()
@contextmanager
def get_connection(self):
"""获取 MySQL 数据库连接"""
conn = pymysql.connect(
host=os.getenv('MYSQL_HOST'),
port=int(os.getenv('MYSQL_PORT', 3306)),
user=os.getenv('MYSQL_USER'),
password=os.getenv('MYSQL_PASSWORD'),
database=os.getenv('MYSQL_DB'),
charset='utf8mb4',
cursorclass=pymysql.cursors.DictCursor
)
try:
yield conn
finally:
conn.close()
def _init_db(self):
"""初始化数据库表结构"""
with self.get_connection() as conn:
cursor = conn.cursor()
cursor.execute('''
CREATE TABLE IF NOT EXISTS trades (
id INT AUTO_INCREMENT PRIMARY KEY,
timestamp DATETIME,
market_title VARCHAR(255),
market_slug VARCHAR(255),
model_name VARCHAR(50),
prediction VARCHAR(10),
probability DOUBLE,
action VARCHAR(10),
price DOUBLE,
amount DOUBLE,
size DOUBLE,
status VARCHAR(20),
error_message TEXT,
raw_data JSON,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
INDEX idx_market_slug (market_slug),
INDEX idx_status (status)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
''')
conn.commit()
def log_trade(self, trade_data: dict):
"""记录交易信息"""
try:
with self.get_connection() as conn:
cursor = conn.cursor()
timestamp = trade_data.get('timestamp', datetime.now().isoformat())
raw_data_json = json.dumps(trade_data.get('raw_data', {}), ensure_ascii=False)
sql = '''
INSERT INTO trades (
timestamp, market_title, market_slug, model_name,
prediction, probability, action, price, amount, size,
status, error_message, raw_data
) VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)
'''
cursor.execute(sql, (
timestamp,
trade_data.get('market_title'),
trade_data.get('market_slug'),
trade_data.get('model_name'),
trade_data.get('prediction'),
trade_data.get('probability'),
trade_data.get('action'),
trade_data.get('price'),
trade_data.get('amount'),
trade_data.get('size'),
trade_data.get('status'),
trade_data.get('error_message'),
raw_data_json
))
conn.commit()
except Exception as e:
print(f"写入数据库失败: {e}")
def check_existing_trade(self, market_slug: str, status: str = 'success') -> bool:
"""检查指定市场是否已有成功交易记录"""
try:
with self.get_connection() as conn:
cursor = conn.cursor()
sql = 'SELECT COUNT(*) as cnt FROM trades WHERE market_slug = %s AND status = %s'
cursor.execute(sql, (market_slug, status))
result = cursor.fetchone()
count = result['cnt'] if result else 0
return count > 0
except Exception as e:
print(f"检查已存在交易失败: {e}")
return False