64 lines
1.9 KiB
Python
64 lines
1.9 KiB
Python
import os
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import sys
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from datetime import date
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import glob
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import shutil
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import csv
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import pandas as pd
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rootdir = "/Users/normrasmussen/Documents/Resources/Walmart/"
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downloadir = "/Users/normrasmussen/Google Drive/My Drive/Shared with Clients/Walmart/"
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basefile = "WalmartBase.xlsx"
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def copytemplate(rootdir, basefile):
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today = date.today()
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today = today.strftime("%m.%d.%Y")
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template = rootdir+basefile
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todayFile = f"Walmart-{today}.xlsx"
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if os.path.exists(rootdir):
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shutil.copy2(template, rootdir+todayFile)
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#dirfiles = os.listdir(rootdir)
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#print(dirfiles)
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currentDash = rootdir+f"Walmart-{today}.xlsx"
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print(currentDash)
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findlatestExport(currentDash)
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def findlatestExport(currentDash):
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listfiles = glob.glob(downloadir + '*.xlsx')
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latestdownload = max(listfiles, key=os.path.getctime)
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print(latestdownload)
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copytoDash(latestdownload, currentDash)
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def copytoDash(latestdownload, currentDash):
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readExport = pd.read_excel(latestdownload, index_col=False)
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readExport.drop(
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readExport.filter(
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regex="Unname"
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),axis=1,
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inplace=True)
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copiedData = readExport.copy()
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#with pd.ExcelWriter("")
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def bringtoExcel(latestdownload, currentDash):
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with pd.ExcelWriter(
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currentDash,
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mode="a",
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engine="openpyxl",
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if_sheet_exists="overlay",
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) as writer:
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copiedData.to_excel(
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writer,
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sheet_name="Data",
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index=False,
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)
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# cleanitUp(currentDash)
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def cleanitUp(currentDash):
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cleanExcel = pd.read_excel(currentDash, sheet_name="Data", index_col=None)
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cleanExcel.columns.values[0] = "tmp"
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cleanExcel.drop(columns="tmp", axis=1, inplace=True)
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print(cleanExcel)
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if __name__ == "__main__":
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copytemplate(rootdir, basefile)
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