rename sheet_id arg to sheet_name (to match content)

Author: HadronCollider

main.py

@@ -117,7 +117,7 @@ def parse_args():
         help='Specify Google sheet document id (can find in url)',
     )
     parser.add_argument(
-        '--sheet_id',
+        '--sheet_name',
         type=str,
         required=False,
         help='Specify title for a sheet in a document in which data will be printed',
@@ -130,7 +130,7 @@ def parse_args():
                 action.required = True
             if action.dest == 'table_id':
                 action.required = True
-            if action.dest == 'sheet_id':
+            if action.dest == 'sheet_name':
                 action.required = True
     return parser.parse_args()
 
@@ -172,11 +172,11 @@ def run(args, binded_repos, repos_for_wiki=None):
     if args.export_google_sheets:
         if args.start_cell:
             export_sheets.write_data_to_table(
-                args.out, args.google_token, args.table_id, args.sheet_id, args.start_cell
+                args.out, args.google_token, args.table_id, args.sheet_name, args.start_cell
             )
         else:
             export_sheets.write_data_to_table(
-                args.out, args.google_token, args.table_id, args.sheet_id
+                args.out, args.google_token, args.table_id, args.sheet_name
             )
 
 

src/export_sheets.py

@@ -4,17 +4,17 @@
 INT_MASS = [{"one": 1, "two": 2, "what?": 3}]
 
 
-def write_data_to_table(csv_path, google_token, table_id, sheet_id, start_cell="A1"):
-    if google_token and sheet_id and table_id:
+def write_data_to_table(csv_path, google_token, table_id, sheet_name, start_cell="A1"):
+    if google_token and sheet_name and table_id:
         gc = pygsheets.authorize(service_file=google_token)
         sh = gc.open_by_key(table_id)
 
     try:
-        sh.worksheets('title', sheet_id)
+        sh.worksheets('title', sheet_name)
     except Exception:
-        sh.add_worksheet(sheet_id)
+        sh.add_worksheet(sheet_name)
 
-    wk_content = sh.worksheet_by_title(sheet_id)
+    wk_content = sh.worksheet_by_title(sheet_name)
 
     if csv_path:
         df = pd.read_csv(csv_path, delimiter=',', encoding='utf-8')