can readd periodic_api_test for hub stuff tomorrow

app.py

@@ -47,7 +47,6 @@ with open(file_path, 'w') as json_file:
     json.dump(service_account, json_file)
 gspread_bot = gspread.service_account(filename='service_account.json')
 worksheet = gspread_bot.open("levelbot").sheet1
-worksheet2 = gspread_bot.open("hf_discord_verified_users_test").sheet1
 test_merge_worksheet = gspread_bot.open("test_merge").sheet1
 """"""
 bot_ids = [1136614989411655780, 1166392942387265536, 1158038249835610123, 1130774761031610388, 1155489509518098565, 1155169841276260546, 1152238037355474964, 1154395078735953930]
@@ -56,7 +55,6 @@ api = HfApi()
 """"""
 #csv_file = 'data.csv'
 global_df = pd.DataFrame()
-worksheet2_df = pd.DataFrame()
 print(type(global_df))
 community_global_df = pd.DataFrame() 
 community_global_df_with_id = pd.DataFrame()
@@ -69,7 +67,6 @@ data2 = pd.read_csv("https://docs.google.com/spreadsheets/d/1T_twNONDSZ8zw7aDcYh
 async def on_ready():
     try:
         global global_df
-        global worksheet2_df
         await asyncio.sleep(1.1)
         print(f'Logged in as {bot.user.name}')
         print(f"XP_PER_MESSAGE: {XP_PER_MESSAGE}")
@@ -78,11 +75,6 @@ async def on_ready():
         global_df = test_merge
         print(f"csv successfully retrieved: \n {global_df}")
 
-        worksheet2_df = data2.copy()
-        worksheet2_df['discord_user_id'] = worksheet2_df['discord_user_id'].astype(str)
-        worksheet2_df['id_recover_test'] = worksheet2_df['id_recover_test'].astype(str)  
-        print(worksheet2_df.dtypes)
-
         # updates both leaderboards
         #await remove_huggingfolks() # to initialize
         #print(community_global_df_with_id)
@@ -120,45 +112,6 @@ def calculate_level(xp):
 def calculate_xp(level):
     return (int(level ** 3))
 
-
-processed_users = set()
-
-async def periodic_api_test(): # needs rewrite, can do same thing and interact with csv -> push to google sheets
-    try:
-        # this should be gspread type function (do not mix with discord at all
-        global worksheet2_df
-        # get 
-        for index, user in enumerate(worksheet2_df['hf_user_name']):
-            if user in processed_users:
-                continue
-            await asyncio.sleep(0.5)
-            url = f"https://huggingface.co/api/users/{user}/overview"
-            response = requests.get(url)
-    
-            if response.status_code == 200:
-                data = response.json()
-    
-                likes = data["numLikes"]
-                models = data["numModels"]
-                datasets = data["numDatasets"]
-                spaces = data["numSpaces"]
-                discussions = data["numDiscussions"]
-                papers = data["numPapers"]
-                upvotes = data["numUpvotes"]
-
-                worksheet2_df.loc[index:index, 'likes':'upvotes'] = [[likes, models, datasets, spaces, discussions, papers, upvotes]]
-                pd.set_option('display.max_rows', 30)
-                print(worksheet2_df)
-                
-    
-                processed_users.add(user)
-                print(processed_users)
-            else:
-                print(f"Failed to retrieve data for user {user}. Status code: {response.status_code}")
-            
-    except Exception as e:
-        print(f"periodic_api_test Error: {e}")    
-
     
 async def add_exp(member_id):
     try: