cmd,py腳本,py編譯的exe,uipath及uibot對它們的調用

UIPATH調用Python編譯程序exe

好處：
1）code不以可編輯的狀態被用戶接觸，對於不懂反編譯的一般用戶，可提升一定的代碼安全性；
2）不需要用戶機器上安裝 python環境。
3）可以將能夠執行不同任務的腳本編譯成同一個exe程序，通過傳入不同參數實現不同任務。

1).生成並調用單任務 exe程序：

詳見之前的博客：https://blog.csdn.net/qq_24937551/article/details/105517535

1. 准備單任務python腳本 2. 將僅執行單任務的腳本打包成exe 3. UIPATH調用exe

2).生成並調用多任務 exe程序：

1. 准備多任務python腳本 2. 將可執行多任務的腳本打包成exe 3. UIPATH調用exe
2. UIPATH 調用 exe或者python腳本，實際上是使用vb.net來調用cmd命令行來執行exe或腳本，所以難點在於參數的傳遞和解析，尤其是當腳本中的函數需要多種類型的參數，比如位置參數，關鍵字參數等。

import numpy as np
import pandas as pd
from pandas import DataFrame,Series
import sys,getopt  # 用來解析參數的兩個庫

class HandleData():
    def __init__(self,process_name,log_path='',excel_path='',new_excel_path=''):
        self.process_name=process_name
        self.log_path=log_path
        self.excel_path=excel_path
        self.new_excel_path=new_excel_path

    def deal_with_data(self):
        file_obj=open(self.excel_path)
        df=pd.read_csv(file_obj)
        # df=pd.read_csv(self.excel_path)
        df=df.reindex(columns=['CNUM','COMPANY','C_col','D_col','E_col','F_col','G_col','H_col'],fill_value=None)
        df.rename(columns={'COMPANY':'Company_New'}, inplace = True)
        df=df.dropna(axis=0,how='all')
        df['CNUM'] = df['CNUM'].astype('int32')
        df = df.drop_duplicates(subset=['CNUM', 'Company_New'], keep='first')

        df.to_csv(self.new_excel_path,index=False,encoding='GBK')
        file_obj.close()

    def writeLog(self):
        with open(self.log_path,"a") as logfile:
            logfile.write("\nthat's a test log message")
        
    def writeEventLog(self):
        with open(r"C:\Users\12078\Desktop\UIPATH_test\0419\EventLogs_Bot1.txt","a") as logfile:
            logfile.write("\nno function found" + self.process_name)
         
    def mainprocess(self):
        if self.process_name=="deal_with_data":
           HandleData.deal_with_data(self)
        elif self.process_name=="writeLog":
           HandleData.writeLog(self)
        else:
           HandleData.writeEventLog(self)

if __name__ == "__main__":
    process_name=""
    log_path = ""
    excel_path = ""
    new_excel_path = ""
    argv=sys.argv[1:]
    try:
        opts,args = getopt.getopt(argv,"h",["process_name=","log_path=","excel_path=","new_excel_path="])
    except getopt.GetoptError:
        print('cnum_company_data0418.py --process_name processname str --log_path logpath str --excel_path datafilepath str --new_excel_path outputfilepath str')
        sys.exit(2)
    for opt, arg in opts:
        if opt == "-h":
            print('cnum_company_data0418.py --process_name processname str --log_path logpath str --excel_path datafilepath str --new_excel_path outputfilepath str')
            sys.exit()
        elif opt == "--process_name":
            process_name = arg
        elif opt == "--log_path":
            log_path = arg
        elif opt =="--excel_path":
            excel_path = arg
        elif opt =="--new_excel_path":
            new_excel_path = arg
    # print(process_name + "--"+log_path+"--"+excel_path+"--"+new_excel_path+"")
    handle=HandleData(process_name,log_path,excel_path,new_excel_path)
    handle.mainprocess()

cmd執行python腳本測試效果：

1. 測試生成log message的功能：
   C:\Users\12078\Desktop\UIPATH_test\0419>python cnum_company_data0419.py --process_name=writeLog --log_path=C:\Users\12078\Desktop\UIPATH_test\0419\mylog.txt

2. 測試處理excel/csv數據的功能：
   C:\Users\12078\Desktop\UIPATH_test\0419>python cnum_company_data0419.py --process_name=deal_with_data --excel_path=C:\Users\12078\Desktop\UIPATH_test\0419\CNUM_COMPANY.csv --new_excel_path=C:\Users\12078\Desktop\UIPATH_test\0419\out.csv

經過測試，腳本沒有問題

以上程序也可以這樣實現：（知識點：面向對象，反射，元組解包，不定長參數的函數）

# -*- coding: UTF-8 -*-
import pandas as pd
import sys
from pandas import DataFrame,Series

class HandleData():

    def deal_with_data(self,paths):
        excel_path,new_excel_path=paths
        file_obj=open(excel_path)
        df=pd.read_csv(file_obj)
        df=df.reindex(columns=['CNUM','COMPANY','C_col','D_col','E_col','F_col','G_col','H_col'],fill_value=None)
        df.rename(columns={'COMPANY':'Company_New'}, inplace = True)
        df=df.dropna(axis=0,how='all')
        df['CNUM'] = df['CNUM'].astype('int32')
        df = df.drop_duplicates(subset=['CNUM', 'Company_New'], keep='first')
        df.to_csv(new_excel_path,index=False,encoding='GBK')
        file_obj.close()

    def writeLog(self,log_path):
        log_path=log_path[0]
        with open(log_path,"a") as logfile:
            logfile.write("\nthat's a test log message")
        
    def writeEventLog(self,p):
        process_name,content=p
        with open(r"C:\Users\12078\Desktop\uibot\pytest_mutiply.txt","a") as logfile:
            logfile.write("\nno function found" + process_name+"--"+content)
         
        
def main(f,*args):  # *args表示不定長參數，會將不定長參數打包成元組 args
    h=HandleData()
    if hasattr(h,f):
        getattr(h,f)(args)
    
    
if __name__ == "__main__":
    # 測試 writeEventLog
    # main('writeEventLog','fuc_test','ttesthahah')  
    # 測試 writeLog
    # main('writeLog',r"C:\Users\12078\Desktop\uibot\log_test.txt")
    # 測試 deal_with_data
    # main('deal_with_data',r"C:\Users\12078\Desktop\uibot\pytest\CNUM_COMPANY.csv",r"C:\Users\12078\Desktop\uibot\pytest\output.csv")

    # cmd 執行腳本時：
    fuc_name=sys.argv[1]
    argvs=sys.argv[2:]
    main(fuc_name,*argvs)  # *argvs表示解包列表，將列表元素轉為獨立的個體

cmd執行上面的python腳本測試效果：

1. 測試生成log message的功能：
   C:\Users\12078>python C:\Users\12078\Desktop\uibot\pytest\pydatahandle.py writeEventLog fuc_test testhahah
C:\Users\12078>python C:\Users\12078\Desktop\uibot\pytest\pydatahandle.py writeLog C:\Users\12078\Desktop\uibot\mylog.txt

2. 測試處理excel/csv數據的功能：
   C:\Users\12078>python C:\Users\12078\Desktop\uibot\pytest\pydatahandle.py deal_with_data C:\Users\12078\Desktop\uibot\pytest\CNUM_COMPANY.csv C:\Users\12078\Desktop\uibot\pytest\out.csv

經過測試，腳本沒有問題

cmd執行exe編譯任務：

cd C:\Users\12078\Desktop\UIPATH_test\0419
C:\Users\12078\Desktop\UIPATH_test\0419>pyinstaller cnum_company_data0419.py
或：
cd C:\Users\12078\Desktop\uibot\pytest
C:\Users\12078\Desktop\uibot\pytest>pyinstaller pydatahandle.py
使用 dist目錄下的 exe程序

UIPATH調用 exe執行多任務：

1.總體框架：

2.第1次調用exe完成第一個任務：

3.第2次調用 exe完成第二個任務：

4.執行結果：

CMD調用 python編譯的exe：

C:\Users\12078>start C:\Users\12078\Desktop\uibot\pytest\dist\pydatahandle\pydatahandle.exe writeEventLog fuc_test testhahah
C:\Users\12078>start C:\Users\12078\Desktop\uibot\pytest\dist\pydatahandle\pydatahandle.exe deal_with_data C:\Users\12078\Desktop\uibot\pytest\CNUM_COMPANY.csv C:\Users\12078\Desktop\uibot\pytest\out.csv

Uibot有啟動應用程序的功能，但沒有傳入參數的設置，可以這樣做：uibot調用 cmd,cmd執行啟動 exe並傳入參數的命令：

說明

1.Author: Collin_PXY ; wechat: pxy123abc