vnpy/prod/jobs/refill_binance_future_bars.py

# flake8: noqa


import os
import sys
import csv
import pandas as pd

# 将repostory的目录i，作为根目录，添加到系统环境中。
ROOT_PATH = os.path.abspath(os.path.join(os.path.dirname(__file__), '..', '..'))
if ROOT_PATH not in sys.path:
    sys.path.append(ROOT_PATH)
    print(f'append {ROOT_PATH} into sys.path')

from datetime import datetime, timedelta
from vnpy.data.binance.binance_future_data import BinanceFutureData, HistoryRequest, Exchange, Interval
from vnpy.trader.utility import get_csv_last_dt, append_data

# 获取币安合约交易的所有期货合约
future_data = BinanceFutureData()
contracts = BinanceFutureData.load_contracts()
if len(contracts) == 0:
    future_data.save_contracts()
    contracts = BinanceFutureData.load_contracts()

# 开始下载日期
start_date = '20190101'

if __name__ == "__main__":

    if len(sys.argv) >= 2:
        interval = str(sys.argv[1]).lower()
        if interval.isdecimal():
            interval_num = int(sys.argv[1])
            interval_type = Interval.MINUTE
        else:
            if 'm' in interval:
                interval_type = Interval.MINUTE
                interval_num = int(interval.replace('m', ''))
            elif 'h' in interval:
                interval_type = Interval.HOUR
                interval_num = int(interval.replace('h', ''))
            elif 'd' in interval:
                interval_type = Interval.DAILY
                interval_num = int(interval.replace('d', ''))
    else:
        interval = '1m'
        interval_num = 1
        interval_type = Interval.MINUTE

    def download_symbol(symbol, start_dt, bar_file_path, interval_type, interval_num):
        req = HistoryRequest(
            symbol=symbol,
            exchange=Exchange(contract_info.get('exchange')),
            interval=interval_type,
            interval_num=interval_num,
            start=start_dt
        )

        bars = future_data.get_bars(req=req, return_dict=True)
        future_data.export_to(bars, file_name=bar_file_path)

    # 逐一合约进行下载
    for vt_symbol, contract_info in contracts.items():
        symbol = contract_info.get('symbol')

        bar_file_path = os.path.abspath(os.path.join(
            ROOT_PATH,
            'bar_data',
            'binance',
            f'{symbol}_{start_date}_{interval}.csv'))

        # 不存在文件，直接下载，并保存
        if not os.path.exists(bar_file_path):
            print(f'文件{bar_file_path}不存在，开始时间:{start_date}')
            start_dt = datetime.strptime(start_date, '%Y%m%d')
            download_symbol(symbol, start_dt, bar_file_path, interval_type, interval_num)
            continue

        # 如果存在文件，获取最后的bar时间
        last_dt = get_csv_last_dt(bar_file_path)

        # 获取不到时间，重新下载
        if last_dt is None:
            print(f'获取文件{bar_file_path}的最后时间失败，开始时间:{start_date}')
            start_dt = datetime.strptime(start_date, '%Y%m%d')
            download_symbol(symbol, start_dt, bar_file_path, interval_type, interval_num)
            continue

        # 获取到时间，变成那天的开始时间，下载数据
        start_dt = last_dt.replace(hour=0, minute=0, second=0, microsecond=0)
        print(f'文件{bar_file_path}存在，最后时间:{last_dt}, 调整数据获取开始时间:{start_dt}')
        req = HistoryRequest(
            symbol=symbol,
            exchange=Exchange(contract_info.get('exchange')),
            interval=interval_type,
            interval_num=interval_num,
            start=start_dt
        )

        bars = future_data.get_bars(req=req, return_dict=True)
        if len(bars) <= 0:
            print(f'下载{symbol} {interval_num} {interval_type.value} 数据为空白')
            continue

        bar_count = 0

        # 获取标题
        headers = []
        with open(bar_file_path, "r", encoding='utf8') as f:
            reader = csv.reader(f)
            for header in reader:
                headers = header
                break

        # 写入所有大于最后bar时间的数据
        with open(bar_file_path, 'a', encoding='utf8', newline='\n') as csvWriteFile:

            writer = csv.DictWriter(f=csvWriteFile, fieldnames=headers, dialect='excel',
                                    extrasaction='ignore')
            for bar in bars:
                if bar['datetime'] <= last_dt:
                    continue
                bar_count += 1
                writer.writerow(bar)

            print(f'更新{symbol}数据 => 文件{bar_file_path}, 最后记录:{bars[-1]}')