From 48fb7a00951f91bdc707e5dd2d196e5bccb752c3 Mon Sep 17 00:00:00 2001
From: Administrator <admin@example.com>
Date: 星期三, 18 六月 2025 18:41:30 +0800
Subject: [PATCH] 异常保护

---
 l2_data_parser.py |  180 +++++++++++++++++++++++++++++++++++++++++++++++++++++++-----
 1 files changed, 165 insertions(+), 15 deletions(-)

diff --git a/l2_data_parser.py b/l2_data_parser.py
index abdbe66..3cab7b0 100644
--- a/l2_data_parser.py
+++ b/l2_data_parser.py
@@ -5,11 +5,15 @@
 import os
 import sys
 import time
+from multiprocessing import Pool
+
 import pandas as pd
 
+from data_parser import transaction_big_order_parser
 from db import mysql_data_delegate as mysql_data
 from huaxin_client.l2_client_test import L2TransactionDataManager
 from log_module import log_export
+from utils import tool
 
 
 def __get_target_codes(day):
@@ -50,13 +54,6 @@
     fdatas = []
     df = pd.read_csv(f"{base_path}/Transaction.csv")
     category_revenue = df.groupby('BuyNo')['TradeVolume'].sum()
-    total_count = 0
-    for chunk in chunks:
-        total_count += len(chunk)
-    for chunk in chunks:
-        total_count += len(chunk)
-
-
 
     with open(f"{base_path}/Transaction.csv", 'r', encoding='utf-8') as file:
         csv_reader = csv.reader(file)
@@ -231,6 +228,140 @@
                 writer.writerow(row)
 
 
+def test1(args):
+    index, df = args
+    print(index)
+
+
+def pre_process_transactions(csv_path="E:/娴嬭瘯鏁版嵁/Transaction_Test.csv"):
+    def str_to_float(s):
+        try:
+            # 绉婚櫎鍗曚綅骞惰浆鎹�
+            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 ''
+
+    # [ExchangeID, SecurityID, TradeTime, TradePrice, TradeVolume, ExecType, MainSeq, SubSeq, BuyNo, SellNo, Info1, Info2,
+    #  Info3, TradeBSFlag, BizIndex, LocalTimeStamp]
+    # transaction_data = {
+    #     "SecurityID": ['300920', '300920', '300920', '300920'],
+    #     "TradeTime": [91500040, 91500041, 91500042, 92000040],
+    #     "TradePrice": [15.0, 16.2, 15.2, 16.3],
+    #     "TradeVolume": [100, 100, 200, 300],
+    #     "BuyNo": [0, 1, 1, 1]
+    # }
+    # 瀹氫箟鑱氬悎鍑芥暟
+    def first_last(group):
+        return pd.Series({
+            'TotalAmount': group['TradeAmount'].sum(),
+            'TotalVolume': group['TradeVolume'].sum(),
+            'StartTime': group['TradeTime'].iloc[0],
+            'StartPrice': group['TradePrice'].iloc[0],
+            'EndTime': group['TradeTime'].iloc[-1],
+            'EndPrice': group['TradePrice'].iloc[-1]
+        })
+
+    dtype = {
+        'SecurityID': 'category',  # 浣庡熀鏁板垎绫绘暟鎹�
+    }
+    chunk_size = 10000
+    # 鍒涘缓DataFrame
+    chunks = pd.read_csv(csv_path, chunksize=chunk_size)
+    indexed_data = list(enumerate(chunks))
+    # 鏂板啓娉�
+    with Pool(processes=4) as pool:
+        pool.map(test1, indexed_data)
+
+    result_list = []
+    for chunk_index, chunk in enumerate(chunks):
+        df = chunk.copy()
+        index = chunk_index + 1
+        child_path = csv_path.replace(".csv", f"_{index}.csv")
+        if os.path.exists(child_path):
+            continue
+        print(f"澶勭悊绗瑊index}鎵规")
+        df["TradePrice"] = df["TradePrice"].apply(str_to_float)
+        df["SecurityID"] = df["SecurityID"].apply(code_format)
+        df = df[df["SecurityID"].str.startswith(("30", "00", "60"), na=False)]
+        # 璁$畻鎴愪氦閲戦
+        df['TradeAmount'] = df['TradePrice'] * df['TradeVolume']
+
+        # 鎸塖ecurityID鍜孊uyNo鍒嗙粍
+        grouped = df.groupby(['SecurityID', 'BuyNo'])
+
+        # 搴旂敤鑱氬悎鍑芥暟
+        chunk_result = grouped.apply(first_last).reset_index()
+
+        chunk_result.to_csv(child_path, index=False)
+    print(f"澶勭悊瀹屾瘯锛屾�诲叡{index}鎵�")
+
+
+def pre_process_ngtstick(csv_path="E:/娴嬭瘯鏁版嵁/NGTSTick_Test.csv"):
+    def str_to_float(s):
+        try:
+            # 绉婚櫎鍗曚綅骞惰浆鎹�
+            return round(float(s.split("@")[0]), 2)
+        except:
+            return float("nan")
+
+    def code_format(s):
+        try:
+            code = "{0:0>6}".format(s)
+            return code
+        except:
+            return ''
+
+    # 瀹氫箟鑱氬悎鍑芥暟
+    def first_last(group):
+        return pd.Series({
+            'TotalAmount': group['TradeMoney'].sum(),
+            'TotalVolume': group['Volume'].sum(),
+            'StartTime': group['TickTime'].iloc[0],
+            'StartPrice': group['Price'].iloc[0],
+            'EndTime': group['TickTime'].iloc[-1],
+            'EndPrice': group['Price'].iloc[-1]
+        })
+
+    # [ExchangeID,SecurityID,MainSeq,SubSeq,TickTime,TickType,BuyNo,SellNo,Price,Volume,TradeMoney,Side,TradeBSFlag,MDSecurityStat,Info1,Info2,Info3,LocalTimeStamp]
+
+    chunk_size = 10000
+    # 鍒涘缓DataFrame
+    chunks = pd.read_csv(csv_path, chunksize=chunk_size)
+    result_list = []
+    index = 0
+    for df in chunks:
+        index += 1
+        child_path = csv_path.replace(".csv", f"_{index}.csv")
+        if os.path.exists(child_path):
+            continue
+        print(f"澶勭悊绗瑊index}鎵规")
+        df = df[df["TickType"] == 'T']
+        df["Price"] = df["Price"].apply(str_to_float)
+        df["SecurityID"] = df["SecurityID"].apply(code_format)
+
+        df = df[df["SecurityID"].str.startswith(("30", "00", "60"), na=False)]
+
+        # 璁$畻鎴愪氦閲戦
+        df['TradeMoney'] = df["TradeMoney"].apply(str_to_float)
+        # 鎸塖ecurityID鍜孊uyNo鍒嗙粍
+        grouped = df.groupby(['SecurityID', 'BuyNo'])
+        # 搴旂敤鑱氬悎鍑芥暟
+        chunk_result = grouped.apply(first_last).reset_index()
+        chunk_result.to_csv(child_path, index=False)
+    print(f"澶勭悊瀹屾瘯锛屾�诲叡{index}鎵�")
+
+
+if __name__ == '__main__1':
+    # df = pd.read_csv(f"E:/娴嬭瘯鏁版嵁/Transaction_Test.csv")
+    pre_process_transactions()
+
 # 鍛戒护妯″紡  /home/userzjj/app/gp-server/l2_data_parser Transaction  2025-05-08
 # 瑙f瀽澶у崟锛� /home/userzjj/app/gp-server/l2_data_parser ExtractDealBigOrder 2025-05-09 /home/userzjj/鏈�缁堟垚浜ゆ暟鎹�20250509.txt 000555
 if __name__ == '__main__':
@@ -251,15 +382,34 @@
             parse_ngtstick(day)
         elif _type == 'MarketData':
             parse_market_data(day)
-        elif _type == 'ExtractDealBigOrder':
-            # 鎻愬彇鎵�鏈夋垚浜ょ殑澶у崟
+        elif _type == 'Transaction_New':
             if len(params) > 2:
-                save_path = params[2].strip()
+                process_count = int(params[2].strip())
             else:
-                save_path = None
+                process_count = 4
 
-            if len(params) > 3:
-                target_code = params[3].strip()
+            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:
-                target_code = None
-            parse_deal_big_orders(day, save_path, target_code)
+                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':
+            # 鍛戒护妯″紡  /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)

--
Gitblit v1.8.0