walmart script

Scripts/WalmartExcel/walmart.py

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