exception for "nan" (empty user)

app.py

@@ -626,46 +626,47 @@ async def update_hub_stats():
             # data type of value?
             
             #for index, user in column:
-            print(f"index: {index}")
+            #print(f"index: {index}")
             user = row['hf_user_name']
-            print(f"user: {user}")
-            url = f"https://huggingface.co/api/users/{user}/overview"
-            print(f"url: {url}")
-            response = requests.get(url)
-            print(f"response: {response}")
-            if response.status_code == 200:
-                data = response.json()
-                print(f"data: {data}")
-                likes = data["numLikes"]
-                models = data["numModels"]
-                datasets = data["numDatasets"]
-                spaces = data["numSpaces"]
-                discussions = data["numDiscussions"]
-                papers = data["numPapers"]
-                upvotes = data["numUpvotes"]
-
-                try:
-                    global_df.loc[index, 'likes'] = likes
-                    global_df.loc[index, 'models'] = models
-                    global_df.loc[index, 'datasets'] = datasets
-                    global_df.loc[index, 'spaces'] = spaces
-                    global_df.loc[index, 'discussions'] = discussions
-                    global_df.loc[index, 'papers'] = papers
-                    global_df.loc[index, 'upvotes'] = upvotes    
-                except Exception as e:
-                    print(f"{e} error updating the dataframe")
-            
+            if user != "nan":
+                print(f"user: {user}")
+                url = f"https://huggingface.co/api/users/{user}/overview"
+                #print(f"url: {url}")
+                response = requests.get(url)
+                #print(f"response: {response}")
+                if response.status_code == 200:
+                    data = response.json()
+                    #print(f"data: {data}")
+                    likes = data["numLikes"]
+                    models = data["numModels"]
+                    datasets = data["numDatasets"]
+                    spaces = data["numSpaces"]
+                    discussions = data["numDiscussions"]
+                    papers = data["numPapers"]
+                    upvotes = data["numUpvotes"]
     
-                #sheet1.update(f'I{i+1}:O{i+1}',[[likes, models, datasets, spaces, discussions, papers, upvotes]])
-                # update df instead
-                #updated_df.loc[index, ['likes', 'models', 'datasets', 'spaces', 'discussions', 'papers', 'upvotes']] = [likes, models, datasets, spaces, discussions, papers, upvotes]
-                print(f"likes: {likes}")
-                #global_df.loc[index, 'likes'] = likes
-                #print(f"updated row {index} for user {user}")
-            else:
-                print(f"Failed to retrieve data for user {user}. Status code: {response.status_code}")        
-
-        print(global_df)
+                    try:
+                        global_df.loc[index, 'likes'] = likes
+                        global_df.loc[index, 'models'] = models
+                        global_df.loc[index, 'datasets'] = datasets
+                        global_df.loc[index, 'spaces'] = spaces
+                        global_df.loc[index, 'discussions'] = discussions
+                        global_df.loc[index, 'papers'] = papers
+                        global_df.loc[index, 'upvotes'] = upvotes    
+                    except Exception as e:
+                        print(f"{e} error updating the dataframe")
+                
+        
+                    #sheet1.update(f'I{i+1}:O{i+1}',[[likes, models, datasets, spaces, discussions, papers, upvotes]])
+                    # update df instead
+                    #updated_df.loc[index, ['likes', 'models', 'datasets', 'spaces', 'discussions', 'papers', 'upvotes']] = [likes, models, datasets, spaces, discussions, papers, upvotes]
+                    #print(f"likes: {likes}")
+                    #global_df.loc[index, 'likes'] = likes
+                    #print(f"updated row {index} for user {user}")
+                else:
+                    print(f"Failed to retrieve data for user {user}. Status code: {response.status_code}")        
+
+        #print(global_df)
 
     except Exception as e:
         print(f"Failed to parse data for user {user}. {e}")