Swift Templates, Talkspace, Notes

Scripts/API_Tests/addalltogroup.py

@@ -1,7 +1,7 @@
 import requests
 
-apiKey = "HIDDEN_KEY"
-
+apiKey = "84GO7zb7a990UJrnFJqiYcd0m"
+# Skuid's API
 
 def getallUuid(apiKey):
     x = 0

Scripts/WalmartExcel/walmart.py

@@ -7,60 +7,63 @@ import csv
 import pandas as pd
 
 rootdir = "/Users/normrasmussen/Documents/Resources/Walmart/"
-downloadir = "/Users/normrasmussen/Google Drive/My Drive/Shared with Clients/Walmart/"
-basefile = "WalmartTemplate.xlsx"
+downloadir = "/Users/normrasmussen/Google Drive/My Drive/Shared with Clients/Walmart_Looker/"
+basefile = "Walmart_Weekly_Base.xlsx"
+
 
 def copytemplate(rootdir, basefile):
     today = date.today()
     today = today.strftime("%m.%d.%Y")
-    template = rootdir+basefile
+    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)
+        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 + '*.csv')
+    listfiles = glob.glob(downloadir + "*.csv")
     latestdownload = max(listfiles, key=os.path.getctime)
-    print(latestdownload)
+    # print(latestdownload)
     copytoDash(latestdownload, currentDash)
 
+
 def copytoDash(latestdownload, currentDash):
     readExport = pd.read_csv(
-            latestdownload, 
-            index_col=False,
-            header=0,
-            low_memory=False,
-            dtype={
-                'Progress':object
-        }
-            )
+        latestdownload,
+        index_col=False,
+        header=0,
+        low_memory=False,
+        # dtype={"Progress": float},
+    )
     print(readExport)
-    readExport.drop(
-            readExport.filter(
-                regex="Unname"
-                ),axis=1, 
-                inplace=True)
+    readExport['Progress'] = readExport['Progress'].str[:-1].apply(pd.to_numeric)
+    # readExport['Progress'].apply(pd.to_numeric, errors='ignore')
+    print(readExport['Progress'])
+    readExport.drop(readExport.filter(regex="Unname"), axis=1, inplace=True)
     copiedData = readExport.copy()
     bringtoExcel(latestdownload, currentDash, copiedData)
 
+
 def bringtoExcel(latestdownload, currentDash, copiedData):
     with pd.ExcelWriter(
-            currentDash,
-            mode="a",
-            engine="openpyxl",
-            if_sheet_exists="overlay",
+        currentDash,
+        mode="a",
+        engine="openpyxl",
+        if_sheet_exists="overlay",
+        # engine_kwargs={'options': {'strings_to_numbers': True}}
     ) as writer:
         copiedData.to_excel(
-                writer,
-                engine="xlsxwriter",
-                sheet_name="Data",
-                index=False,
-    )
+            writer,
+            engine="xlsxwriter",
+            sheet_name="Data",
+            index=False,
+        )
+
 
 def cleanitUp(currentDash):
     cleanExcel = pd.read_excel(currentDash, sheet_name="Data", index_col=None)
@@ -68,5 +71,6 @@ def cleanitUp(currentDash):
     cleanExcel.drop(columns="tmp", axis=1, inplace=True)
     print(cleanExcel)
 
+
 if __name__ == "__main__":
     copytemplate(rootdir, basefile)