| | |
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| | | L2数据解析器 |
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| | | """ |
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| | | import csv |
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| | | import os |
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| | | import sys |
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| | | import time |
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| | | from multiprocessing import Pool |
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| | | |
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| | | import pandas as pd |
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| | | |
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| | | from data_parser import transaction_big_order_parser |
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| | | from db import mysql_data_delegate as mysql_data |
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| | | from huaxin_client.l2_client_test import L2TransactionDataManager |
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| | | from log_module import log_export |
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| | | from utils import tool |
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| | | |
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| | | |
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| | | def parse_order_detail(): |
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| | | with open('/home/userzjj/ftp/20250123/OrderDetail.csv', 'r', encoding='utf-8') as file: |
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| | | def __get_target_codes(day): |
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| | | special_codes_dict = log_export.load_special_codes(day) |
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| | | fcodes = set() |
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| | | for plate in special_codes_dict: |
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| | | codes = special_codes_dict[plate] |
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| | | fcodes |= codes |
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| | | return fcodes |
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| | | |
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| | | |
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| | | def parse_order_detail(day, code): |
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| | | target_codes = __get_target_codes(day) |
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| | | base_path = f"/home/userzjj/ftp/{day}" |
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| | | with open(f"{base_path}/OrderDetail.csv", 'r', encoding='utf-8') as file: |
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| | | csv_reader = csv.reader(file) |
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| | | # 获取表头：: ['ExchangeID', 'SecurityID', 'OrderTime', 'Price', 'Volume', 'Side', 'OrderType', 'MainSeq', 'SubSeq', 'Info1', 'Info2', 'Info3', 'OrderNO', 'OrderStatus', 'BizIndex', 'LocalTimeStamp'] |
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| | | headers = next(csv_reader) |
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| | | print("表头:", headers) |
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| | | # 遍历数据行 |
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| | | max_count = 10 |
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| | | count = 0 |
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| | | for row in csv_reader: |
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| | | print(row) |
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| | | count += 1 |
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| | | if count > max_count: |
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| | | break |
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| | | _path = f"{base_path}/OrderDetail_filter.csv" |
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| | | with open(_path, 'w', newline='', encoding='utf-8') as csvfile: |
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| | | # 创建一个 CSV 写入器对象 |
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| | | writer = csv.writer(csvfile) |
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| | | # 逐行写入数据 |
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| | | for row in csv_reader: |
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| | | if row[1] not in target_codes: |
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| | | continue |
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| | | if code and code != row[1]: |
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| | | continue |
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| | | # 将文件写入到文本 |
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| | | writer.writerow(row) |
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| | | |
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| | | |
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| | | def parse_transaction(day, save=True, parse_all=False): |
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| | | target_codes = __get_target_codes(day) |
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| | | base_path = f"/home/userzjj/ftp/{day}" |
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| | | fdatas = [] |
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| | | df = pd.read_csv(f"{base_path}/Transaction.csv") |
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| | | category_revenue = df.groupby('BuyNo')['TradeVolume'].sum() |
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| | | |
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| | | with open(f"{base_path}/Transaction.csv", 'r', encoding='utf-8') as file: |
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| | | csv_reader = csv.reader(file) |
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| | | total_lines = csv_reader.line_num |
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| | | print("总行数：", total_lines) |
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| | | # 获取表头：: [ExchangeID,SecurityID,TradeTime,TradePrice,TradeVolume,ExecType,MainSeq,SubSeq,BuyNo,SellNo,Info1,Info2,Info3,TradeBSFlag,BizIndex,LocalTimeStamp] |
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| | | headers = next(csv_reader) |
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| | | print("表头:", headers) |
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| | | # 遍历数据行 |
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| | | _path = f"{base_path}/Transaction_filter.csv" |
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| | | percent = 0 |
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| | | with open(_path, 'w', newline='', encoding='utf-8') as csvfile: |
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| | | # 创建一个 CSV 写入器对象 |
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| | | writer = csv.writer(csvfile) |
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| | | # 逐行写入数据 |
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| | | count = 0 |
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| | | for row in csv_reader: |
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| | | count += 1 |
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| | | p = count * 100 // total_lines |
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| | | if p != percent: |
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| | | percent = p |
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| | | print(f"**进度：{percent}%") |
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| | | if row[1] not in target_codes and not parse_all: |
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| | | continue |
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| | | # 将文件写入到文本 |
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| | | if save: |
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| | | writer.writerow(row) |
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| | | fdatas.append(row) |
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| | | return fdatas |
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| | | |
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| | | |
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| | | def parse_ngtstick(day, save=True): |
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| | | target_codes = __get_target_codes(day) |
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| | | base_path = f"/home/userzjj/ftp/{day}" |
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| | | fdatas = [] |
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| | | with open(f"{base_path}/NGTSTick.csv", 'r', encoding='utf-8') as file: |
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| | | csv_reader = csv.reader(file) |
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| | | # 获取表头：: [ExchangeID,SecurityID,MainSeq,SubSeq,TickTime,TickType,BuyNo,SellNo,Price,Volume,TradeMoney,Side,TradeBSFlag,MDSecurityStat,Info1,Info2,Info3,LocalTimeStamp] |
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| | | headers = next(csv_reader) |
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| | | print("表头:", headers) |
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| | | # 遍历数据行 |
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| | | _path = f"{base_path}/NGTSTick_filter.csv" |
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| | | with open(_path, 'w', newline='', encoding='utf-8') as csvfile: |
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| | | # 创建一个 CSV 写入器对象 |
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| | | writer = csv.writer(csvfile) |
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| | | # 逐行写入数据 |
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| | | for row in csv_reader: |
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| | | if row[1] not in target_codes: |
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| | | continue |
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| | | if save: |
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| | | # 将文件写入到文本 |
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| | | writer.writerow(row) |
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| | | fdatas.append(row) |
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| | | return fdatas |
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| | | |
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| | | |
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| | | def parse_deal_big_orders(day, big_order_path, target_code=None): |
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| | | """ |
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| | | 提取所有成交大单 |
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| | | @param day: |
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| | | @return: |
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| | | """ |
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| | | print("*******开始处理成交大单数据", day, big_order_path, target_code) |
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| | | l2_data_manager_dict = {} |
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| | | # 解析数据 |
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| | | __start_time = time.time() |
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| | | transaction_data = parse_transaction(day, parse_all=True) |
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| | | print("*******Transaction 读取完毕", len(transaction_data), "耗时", int(time.time() - __start_time)) |
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| | | __start_time = time.time() |
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| | | ngtstick_data = parse_ngtstick(day) |
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| | | print("*******NGTSTick 读取完毕", len(ngtstick_data), "耗时", int(time.time() - __start_time)) |
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| | | __start_time = time.time() |
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| | | big_order_list = [] |
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| | | for index, row in enumerate(transaction_data): |
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| | | code = row[1] |
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| | | if target_code and code != target_code: |
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| | | continue |
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| | | item = {"SecurityID": row[1], "TradePrice": round(float(row[3].split("@")[0]), 2), |
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| | | "TradeVolume": int(row[4]), |
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| | | "OrderTime": int(row[2]), "MainSeq": int(row[6]), |
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| | | "SubSeq": int(row[7]), "BuyNo": int(row[8]), |
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| | | "SellNo": int(row[9]), |
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| | | "ExecType": int(row[5])} |
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| | | if item["TradePrice"] <= 0: |
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| | | continue |
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| | | if code not in l2_data_manager_dict: |
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| | | l2_data_manager_dict[code] = L2TransactionDataManager(code, True) |
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| | | l2_data_manager_dict[code].add_transaction_data(item, big_order_money_threshold=100e4) |
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| | | if index % 100 == 0: |
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| | | # 读取队列中的数据 |
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| | | l2_data_manager: L2TransactionDataManager = l2_data_manager_dict[code] |
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| | | while not l2_data_manager.big_accurate_buy_order_queue.empty(): |
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| | | data = l2_data_manager.big_accurate_buy_order_queue.get() |
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| | | big_order_list.append((code, 0, data)) |
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| | | |
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| | | while not l2_data_manager.big_accurate_sell_order_queue.empty(): |
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| | | data = l2_data_manager.big_accurate_sell_order_queue.get() |
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| | | big_order_list.append((code, 1, data)) |
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| | | print("********Transaction 处理完毕", len(big_order_list), "耗时", int(time.time() - __start_time)) |
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| | | __start_time = time.time() |
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| | | |
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| | | for index, row in enumerate(ngtstick_data): |
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| | | code = row[1] |
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| | | if target_code and code != target_code: |
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| | | continue |
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| | | if row[5].strip() != 'T': |
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| | | # 过滤非成交数据 |
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| | | continue |
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| | | |
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| | | item = {"SecurityID": row[1], "TradePrice": round(float(row[8].split("@")[0]), 2), |
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| | | "TradeVolume": int(row[9]), |
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| | | "OrderTime": row[4], "MainSeq": row[2], |
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| | | "SubSeq": row[3], "BuyNo": row[6], |
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| | | "SellNo": row[7], |
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| | | "ExecType": '1'} |
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| | | if item["TradePrice"] <= 0: |
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| | | continue |
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| | | |
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| | | if code not in l2_data_manager_dict: |
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| | | l2_data_manager_dict[item["SecurityID"]] = L2TransactionDataManager(code, True) |
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| | | l2_data_manager_dict[item["SecurityID"]].add_transaction_data(item) |
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| | | if index % 100 == 0: |
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| | | # 读取队列中的数据 |
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| | | l2_data_manager: L2TransactionDataManager = l2_data_manager_dict[code] |
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| | | while not l2_data_manager.big_accurate_buy_order_queue.empty(): |
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| | | data = l2_data_manager.big_accurate_buy_order_queue.get() |
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| | | big_order_list.append((code, 0, data)) |
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| | | |
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| | | while not l2_data_manager.big_accurate_sell_order_queue.empty(): |
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| | | data = l2_data_manager.big_accurate_sell_order_queue.get() |
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| | | big_order_list.append((code, 1, data)) |
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| | | print("********NGTSTick 处理完毕", len(big_order_list), "耗时", int(time.time() - __start_time)) |
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| | | __start_time = time.time() |
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| | | # 读取剩余的未读数据的代码 |
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| | | for code in l2_data_manager_dict: |
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| | | l2_data_manager: L2TransactionDataManager = l2_data_manager_dict[code] |
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| | | while not l2_data_manager.big_accurate_buy_order_queue.empty(): |
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| | | data = l2_data_manager.big_accurate_buy_order_queue.get() |
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| | | big_order_list.append((code, 0, data)) |
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| | | |
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| | | while not l2_data_manager.big_accurate_sell_order_queue.empty(): |
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| | | data = l2_data_manager.big_accurate_sell_order_queue.get() |
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| | | big_order_list.append((code, 1, data)) |
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| | | print("********开始写入本地文件：", len(big_order_list), "耗时", int(time.time() - __start_time)) |
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| | | __start_time = time.time() |
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| | | # 开始写入本地文件 |
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| | | with open(big_order_path, mode='w', encoding='utf-8') as f: |
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| | | for order in big_order_list: |
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| | | f.write(f"{order}\n") |
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| | | print("*******写入本地文件结束：", "耗时", int(time.time() - __start_time)) |
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| | | __start_time = time.time() |
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| | | |
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| | | |
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| | | def parse_market_data(day): |
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| | | target_codes = __get_target_codes(day) |
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| | | base_path = f"/home/userzjj/ftp/{day}" |
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| | | with open(f"{base_path}/MarketData.csv", 'r', encoding='utf-8') as file: |
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| | | csv_reader = csv.reader(file) |
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| | | # 获取表头：: [SecurityID,ExchangeID,DataTimeStamp,PreClosePrice,OpenPrice,NumTrades,TotalVolumeTrade,TotalValueTrade,TotalBidVolume,AvgBidPrice,TotalAskVolume,AvgAskPrice,HighestPrice,LowestPrice,LastPrice,BidPrice1,BidVolume1,AskPrice1,AskVolume1....] |
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| | | headers = next(csv_reader) |
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| | | print("表头:", headers) |
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| | | # 遍历数据行 |
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| | | _path = f"{base_path}/MarketData_filter.csv" |
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| | | with open(_path, 'w', newline='', encoding='utf-8') as csvfile: |
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| | | # 创建一个 CSV 写入器对象 |
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| | | writer = csv.writer(csvfile) |
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| | | # 逐行写入数据 |
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| | | for row in csv_reader: |
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| | | if row[0] not in target_codes: |
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| | | continue |
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| | | # 将文件写入到文本 |
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| | | writer.writerow(row) |
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| | | |
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| | | |
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| | | def test1(args): |
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| | | index, df = args |
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| | | print(index) |
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| | | |
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| | | |
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| | | def pre_process_transactions(csv_path="E:/测试数据/Transaction_Test.csv"): |
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| | | def str_to_float(s): |
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| | | try: |
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| | | # 移除单位并转换 |
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| | | return round(float(s.split("@")[0]), 2) |
|---|
| | | except: |
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| | | return float("nan") |
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| | | |
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| | | def code_format(s): |
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| | | try: |
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| | | code = "{0:0>6}".format(s) |
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| | | return code |
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| | | except: |
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| | | return '' |
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| | | |
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| | | # [ExchangeID, SecurityID, TradeTime, TradePrice, TradeVolume, ExecType, MainSeq, SubSeq, BuyNo, SellNo, Info1, Info2, |
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| | | # Info3, TradeBSFlag, BizIndex, LocalTimeStamp] |
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| | | # transaction_data = { |
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| | | # "SecurityID": ['300920', '300920', '300920', '300920'], |
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| | | # "TradeTime": [91500040, 91500041, 91500042, 92000040], |
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| | | # "TradePrice": [15.0, 16.2, 15.2, 16.3], |
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| | | # "TradeVolume": [100, 100, 200, 300], |
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| | | # "BuyNo": [0, 1, 1, 1] |
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| | | # } |
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| | | # 定义聚合函数 |
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| | | def first_last(group): |
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| | | return pd.Series({ |
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| | | 'TotalAmount': group['TradeAmount'].sum(), |
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| | | 'TotalVolume': group['TradeVolume'].sum(), |
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| | | 'StartTime': group['TradeTime'].iloc[0], |
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| | | 'StartPrice': group['TradePrice'].iloc[0], |
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| | | 'EndTime': group['TradeTime'].iloc[-1], |
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| | | 'EndPrice': group['TradePrice'].iloc[-1] |
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| | | }) |
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| | | |
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| | | dtype = { |
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| | | 'SecurityID': 'category', # 低基数分类数据 |
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| | | } |
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| | | chunk_size = 10000 |
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| | | # 创建DataFrame |
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| | | chunks = pd.read_csv(csv_path, chunksize=chunk_size) |
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| | | indexed_data = list(enumerate(chunks)) |
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| | | # 新写法 |
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| | | with Pool(processes=4) as pool: |
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| | | pool.map(test1, indexed_data) |
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| | | |
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| | | result_list = [] |
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| | | for chunk_index, chunk in enumerate(chunks): |
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| | | df = chunk.copy() |
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| | | index = chunk_index + 1 |
|---|
| | | child_path = csv_path.replace(".csv", f"_{index}.csv") |
|---|
| | | if os.path.exists(child_path): |
|---|
| | | continue |
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| | | print(f"处理第{index}批次") |
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| | | df["TradePrice"] = df["TradePrice"].apply(str_to_float) |
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| | | df["SecurityID"] = df["SecurityID"].apply(code_format) |
|---|
| | | df = df[df["SecurityID"].str.startswith(("30", "00", "60"), na=False)] |
|---|
| | | # 计算成交金额 |
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| | | df['TradeAmount'] = df['TradePrice'] * df['TradeVolume'] |
|---|
| | | |
|---|
| | | # 按SecurityID和BuyNo分组 |
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| | | grouped = df.groupby(['SecurityID', 'BuyNo']) |
|---|
| | | |
|---|
| | | # 应用聚合函数 |
|---|
| | | chunk_result = grouped.apply(first_last).reset_index() |
|---|
| | | |
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| | | chunk_result.to_csv(child_path, index=False) |
|---|
| | | print(f"处理完毕，总共{index}批") |
|---|
| | | |
|---|
| | | |
|---|
| | | def pre_process_ngtstick(csv_path="E:/测试数据/NGTSTick_Test.csv"): |
|---|
| | | def str_to_float(s): |
|---|
| | | try: |
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| | | # 移除单位并转换 |
|---|
| | | return round(float(s.split("@")[0]), 2) |
|---|
| | | except: |
|---|
| | | return float("nan") |
|---|
| | | |
|---|
| | | def code_format(s): |
|---|
| | | try: |
|---|
| | | code = "{0:0>6}".format(s) |
|---|
| | | return code |
|---|
| | | except: |
|---|
| | | return '' |
|---|
| | | |
|---|
| | | # 定义聚合函数 |
|---|
| | | def first_last(group): |
|---|
| | | return pd.Series({ |
|---|
| | | 'TotalAmount': group['TradeMoney'].sum(), |
|---|
| | | 'TotalVolume': group['Volume'].sum(), |
|---|
| | | 'StartTime': group['TickTime'].iloc[0], |
|---|
| | | 'StartPrice': group['Price'].iloc[0], |
|---|
| | | 'EndTime': group['TickTime'].iloc[-1], |
|---|
| | | 'EndPrice': group['Price'].iloc[-1] |
|---|
| | | }) |
|---|
| | | |
|---|
| | | # [ExchangeID,SecurityID,MainSeq,SubSeq,TickTime,TickType,BuyNo,SellNo,Price,Volume,TradeMoney,Side,TradeBSFlag,MDSecurityStat,Info1,Info2,Info3,LocalTimeStamp] |
|---|
| | | |
|---|
| | | chunk_size = 10000 |
|---|
| | | # 创建DataFrame |
|---|
| | | chunks = pd.read_csv(csv_path, chunksize=chunk_size) |
|---|
| | | result_list = [] |
|---|
| | | index = 0 |
|---|
| | | for df in chunks: |
|---|
| | | index += 1 |
|---|
| | | child_path = csv_path.replace(".csv", f"_{index}.csv") |
|---|
| | | if os.path.exists(child_path): |
|---|
| | | continue |
|---|
| | | print(f"处理第{index}批次") |
|---|
| | | df = df[df["TickType"] == 'T'] |
|---|
| | | df["Price"] = df["Price"].apply(str_to_float) |
|---|
| | | df["SecurityID"] = df["SecurityID"].apply(code_format) |
|---|
| | | |
|---|
| | | df = df[df["SecurityID"].str.startswith(("30", "00", "60"), na=False)] |
|---|
| | | |
|---|
| | | # 计算成交金额 |
|---|
| | | df['TradeMoney'] = df["TradeMoney"].apply(str_to_float) |
|---|
| | | # 按SecurityID和BuyNo分组 |
|---|
| | | grouped = df.groupby(['SecurityID', 'BuyNo']) |
|---|
| | | # 应用聚合函数 |
|---|
| | | chunk_result = grouped.apply(first_last).reset_index() |
|---|
| | | chunk_result.to_csv(child_path, index=False) |
|---|
| | | print(f"处理完毕，总共{index}批") |
|---|
| | | |
|---|
| | | |
|---|
| | | if __name__ == '__main__1': |
|---|
| | | # df = pd.read_csv(f"E:/测试数据/Transaction_Test.csv") |
|---|
| | | pre_process_transactions() |
|---|
| | | |
|---|
| | | # 命令模式 /home/userzjj/app/gp-server/l2_data_parser Transaction 2025-05-08 |
|---|
| | | # 解析大单： /home/userzjj/app/gp-server/l2_data_parser ExtractDealBigOrder 2025-05-09 /home/userzjj/最终成交数据20250509.txt 000555 |
|---|
| | | if __name__ == '__main__': |
|---|
| | | if len(sys.argv) > 1: |
|---|
| | | params = sys.argv[1:] |
|---|
| | | print("接收的参数") |
|---|
| | | print("接收的参数", params) |
|---|
| | | _type = params[0].strip() |
|---|
| | | day = params[1].strip() |
|---|
| | | if len(params) > 2: |
|---|
| | | code = params[2].strip() |
|---|
| | | else: |
|---|
| | | code = None |
|---|
| | | if _type == 'OrderDetail': |
|---|
| | | parse_order_detail(day, code) |
|---|
| | | elif _type == 'Transaction': |
|---|
| | | parse_transaction(day) |
|---|
| | | elif _type == 'NGTSTick': |
|---|
| | | parse_ngtstick(day) |
|---|
| | | elif _type == 'MarketData': |
|---|
| | | parse_market_data(day) |
|---|
| | | elif _type == 'Transaction_New': |
|---|
| | | if len(params) > 2: |
|---|
| | | process_count = int(params[2].strip()) |
|---|
| | | else: |
|---|
| | | process_count = 4 |
|---|
| | | |
|---|
| | | parse_order_detail() |
|---|
| | | transaction_big_order_parser.pre_process_transactions(f"/home/userzjj/ftp/{day}/Transaction.csv", |
|---|
| | | process_count=process_count) |
|---|
| | | transaction_big_order_parser.concat_pre_transactions(f"/home/userzjj/ftp/{day}/Transaction") |
|---|
| | | elif _type == 'NGTSTick_New': |
|---|
| | | if len(params) > 2: |
|---|
| | | process_count = int(params[2].strip()) |
|---|
| | | else: |
|---|
| | | process_count = 4 |
|---|
| | | transaction_big_order_parser.pre_process_ngtsticks(f"/home/userzjj/ftp/{day}/NGTSTick.csv", |
|---|
| | | process_count=process_count) |
|---|
| | | transaction_big_order_parser.concat_pre_ngtsticks(f"/home/userzjj/ftp/{day}/NGTSTick") |
|---|
| | | elif _type == 'Transaction_Concat': |
|---|
| | | transaction_big_order_parser.concat_pre_transactions(f"/home/userzjj/ftp/{day}/Transaction") |
|---|
| | | elif _type == 'NGTSTick_Concat': |
|---|
| | | transaction_big_order_parser.concat_pre_ngtsticks(f"/home/userzjj/ftp/{day}/NGTSTick") |
|---|
| | | elif _type == 'ExtractDealBigOrder': |
|---|
| | | # 命令模式 /home/userzjj/app/gp-server/l2_data_parser ExtractDealBigOrder 2025-05-09 |
|---|
| | | if len(params) > 2: |
|---|
| | | process_count = int(params[2].strip()) |
|---|
| | | else: |
|---|
| | | process_count = 10 |
|---|
| | | transaction_big_order_parser.extract_big_order_of_all(f"/home/userzjj/ftp/{day}/NGTSTick", |
|---|
| | | process_count=process_count) |
|---|
| | | transaction_big_order_parser.extract_big_order_of_all(f"/home/userzjj/ftp/{day}/Transaction", |
|---|
| | | process_count=process_count) |
|---|
