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Copy pathcsv and excel file operation on ftp server.py
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csv and excel file operation on ftp server.py
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from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.common.by import By
import pandas as pd
import time
from selenium.webdriver.support.ui import Select
from selenium.common.exceptions import NoSuchElementException
from selenium.webdriver.common.keys import Keys
import csv
import chromedriver_autoinstaller
import os
from pathlib import Path
from pandas import ExcelFile
import glob
import xlrd
import math
import numpy
# from ftplib import FTP
import ftplib
# ftp = ftplib.FTP()
HOSTNAME = "65.21.141.212"
USERNAME = "[email protected]"
PASSWORD = "xinix123$xinix"
ftp_server = ftplib.FTP(HOSTNAME, USERNAME, PASSWORD)
chromedriver_autoinstaller.install()
options = Options()
options.add_argument("--start-maximized")
# options.headless = True
driver = webdriver.Chrome(options=options)
driver.get('https://www.powerbody.eu/customer/account/login/')
# print(driver.get_cookies())
driver.implicitly_wait(10)
print("login!!!")
email = driver.find_element("xpath", '//input[@id="login"]').send_keys("[email protected]")
driver.implicitly_wait(10)
print("first")
driver.find_element("xpath", '//input[@id="password"]').send_keys("Sonysony2022!")
driver.implicitly_wait(10)
driver.find_element("xpath", '//*[@id="cookie-information"]/p[1]/a').click()
driver.implicitly_wait(10)
driver.find_element("xpath", '/html/body/div[3]/section[1]/div/div/form/div[2]/button').click()
print("button")
print("succeesful")
driver.implicitly_wait(10)
driver.find_element("xpath", '//*[@id="top"]/nav[1]/div/ul[2]/li/a').click()
time.sleep(15)
print("download successful")
currentUser = os.getlogin()
files = glob.glob('C:\\Users\\'+currentUser+'\\Downloads\\*.xls')
path = "C:/Users/"+currentUser+"/Downloads/"
newfilename = path + 'oldpowerbody.xls'
print("recently modified docs----------------------", max(files, key=os.path.getctime))
oldfilename = max(files, key=os.path.getctime)
print("Old------------------------------",os.path.splitext(oldfilename)[0])
os.rename(oldfilename, newfilename)
workbook = xlrd.open_workbook_xls("C:/Users/" +currentUser+ "/Downloads/oldpowerbody.xls", ignore_workbook_corruption=True)
data = pd.read_excel(workbook)
df = pd.DataFrame(data)
# df = df.drop('', axis = 1, inplace=True)
df = df.iloc[8:9630, 8:13]
df1 = df.iloc[ : , 0:1 ]
df2 = df.iloc[ : , 4:5 ]
# df2 = df2.replace(['+'], '')
# if df2.values == null :
# print(df1)
df1Temp = []
df2Temp = []
for attr in df1.values:
if type(attr[0]) is float:
attr[0] = "none"
df1Temp.append(attr[0])
del df1Temp[0]
df1 = pd.DataFrame(df1Temp, columns=['SKU'])
for attr in df2.values:
if type(attr[0]) is float:
attr[0] = "0"
df2Temp.append(attr[0].replace('+',''))
del df2Temp[0]
df2 = pd.DataFrame(df2Temp, columns=['QTY'])
# DF = df1.append()
frame = [df1, df2]
df3 = pd.concat(frame,axis="columns").set_index('SKU')
df3 = df3.iloc[ 1:9619, : ]
print(df3)
df4 = df3.iloc[0:1, :]
df5 = df3.iloc[2:9631, :]
# df3 =df.drop([0,2], axis=1)
# df = df.drop(1, axis=1)
print("+++++++++++++++",df2)
df6 = pd.concat([df4, df5], axis="rows", ignore_index=False)
df7 = pd.DataFrame(df6, columns=["SKU", "QTY"])
df8 = df7[df7["SKU"] !='none']
df8.to_excel('C:/Users/' +currentUser+ '/Downloads/powerbody.xls')
os.remove(newfilename)
# Download csv file to local downloads directory.
filename = "saldo.csv" # get filenames within the directory
print (filename)
ftp_server.cwd("/public_html/nutri-stock")
local_filename = os.path.join('C:/Users/' +currentUser+ '/Downloads/', filename)
file = open(local_filename, 'wb')
ftp_server.retrbinary('RETR '+ filename, file.write)
# data = pd.read_csv('C:/Users/' +currentUser+ '/Downloads/saldo.csv')
file.close()
#### get csv file data to local ####
df_csv = pd.read_csv('C:/Users/' +currentUser+ '/Downloads/saldo.csv', encoding= 'unicode_escape',sep=';',engine='python')
# data = pd.DataFrame(df, columns = ['ArticleNo','ArticleName', 'SellableNumberOfItems'] ).set_index('ArticleNo')
# csv_data = pd.DataFrame(df_csv)
csv_data = pd.DataFrame(df_csv, columns=["ArticleNo", "ArticleName", "SellableNumberOfItems"])
csv_data = csv_data[csv_data["SellableNumberOfItems"] != 0]
csv_first = csv_data.iloc[0:, 0:1]
csv_second = csv_data.iloc[0:, 1:2]
csv_third = csv_data.iloc[0:, 2:3]
csv_first_object = []
csv_second_object = []
csv_third_object = []
csv_first_object = csv_first.values
csv_second_object = csv_second.values
# csv_third_object = csv_third.values
for attr in csv_third.values:
csv_third_object.append(str(attr[0]).replace(',','').replace('"',''))
#### get excel file data to local ####
workbook = xlrd.open_workbook_xls("C:/Users/" +currentUser+ "/Downloads/powerbody.xls", ignore_workbook_corruption=True)
excel_data = pd.read_excel(workbook)
result_excel = pd.DataFrame(excel_data,columns=["SKU", "QTY"])
# result_excel = result_excel[result_excel["SKU"] != 'none']
excel_first_obj = []
excel_second_obj = []
excel_first = result_excel.iloc[0:, 0:1]
excel_second = result_excel.iloc[0:, 1:2]
excel_first_obj = excel_first.values
excel_second_obj = excel_second.values
new_csv_first_object = csv_first_object.tolist()
new_csv_third_object = csv_third_object
print("SKU",excel_first_obj)
print("QTY", excel_second_obj)
print("rows-length===================", len(result_excel))
print("rows-length===================", len(csv_data))
# print("excel result ============",result)
#### prepare implement ####
com = []
for i in range(len(csv_data)):
if csv_first_object[i][0][0] == "P":
com.append(i)
for j in range(len(result_excel)):
# print("TYPE:TYPE:TYPE:TYPE:TYPE:TYPE:TYPE:::",type(int(csv_third_object[i])),type(excel_second_obj[j][0]))
if csv_first_object[i] == excel_first_obj[j]:
# print(i,j)
if int(csv_third_object[i]) < excel_second_obj[j][0]:
csv_third_object[i] = excel_second_obj[j][0]
continue
else:
if i == com[0]:
# print("+++++++++++++++++",excel_first_obj[j])
new_csv_first_object.append(excel_first_obj[j])
# print("+++++++++++++++++",len(csv_first_object))
new_csv_third_object.append(excel_second_obj[j][0])
else:
# break
print("I have jump!!!!!!!!!!!!!!!!")
# result_csv_1 = pd.DataFrame(csv_first_object, columns=["ArticleNo"])
# result_csv_2 = pd.DataFrame(csv_second_object, columns=["ArticleName"])
# result_csv_3 = pd.DataFrame(csv_third_object, columns=["SellableNumberOfItems"])
result_csv_1 = pd.DataFrame(numpy.array(new_csv_first_object), columns=["ArticleNo"])
result_csv_2 = pd.DataFrame(csv_second_object, columns=["ArticleName"])
result_csv_3 = pd.DataFrame(numpy.array(new_csv_third_object), columns=["SellableNumberOfItems"])
result_csv = pd.concat([result_csv_1, result_csv_2, result_csv_3], axis=1)
# result_csv1 = pd.DataFrame(result_csv, columns=["ArticleNo", "ArticleName", "SellableNumberOfItems"]).set_index("ArticleNo")
print("PPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPpppppppppppppp",result_csv)
c = result_csv["SellableNumberOfItems"].eq('0')
deduped = result_csv[~(result_csv.duplicated(['ArticleNo'], keep = "first") & c)]
final_result = deduped[~(deduped.duplicated(['ArticleNo', 'SellableNumberOfItems'], keep = "first"))]
PPP = final_result.sort_values('SellableNumberOfItems', ascending=False).drop_duplicates('ArticleNo').sort_index()
# result_csv = result_csv[result_csv["SellableNumberOfItems"] !='0']
PPP.to_csv('C:/Users/'+currentUser+'/Downloads/nutri-stock.csv', index = False)
ftp_server.encoding = "utf-8"
dirFTP = "C:/Users/"+currentUser+"/Downloads/"
# toFTP = os.listdir(dirFTP)[0]
toFTP = "powerbody.xls"
# print("1-----------------------",toFTP)
# Read file in binary mode
with open(os.path.join(dirFTP,toFTP), "rb") as file:
# Command for Uploading the file "STOR filename"
ftp_server.storbinary(f"STOR {toFTP}", file)
print("complete",file)
# Upload on ftp server csv file.
dirFTP_csv = "C:/Users/"+currentUser+"/Downloads/"
# toFTP = os.listdir(dirFTP)[0]
toFTP_csv = "nutri-stock.csv"
with open(os.path.join(dirFTP_csv,toFTP_csv), "rb") as file:
# Command for Uploading the file "STOR filename"
ftp_server.storbinary(f"STOR {toFTP_csv}", file)
print("complete",file)
# Get list of files
ftp_server.dir()
# Close the Connection
ftp_server.quit()
os.remove('C:/Users/' +currentUser+ '/Downloads/saldo.csv')
os.remove("C:/Users/" +currentUser+ "/Downloads/nutri-stock.csv")
os.remove("C:/Users/" +currentUser+ "/Downloads/powerbody.xls")