Update app.py

app.py

@@ -100,6 +100,62 @@ def update_google_sheet():
         print(f"------------------------------------------------------------------------")
     except Exception as e:
         print(f"update_google_sheet Error: {e}")
+
+#@tasks.loop(minutes=1) tasks.loop leads to heartbeat blocked issues (merging calculations too much with normal discord bot functions)
+def update_hub_stats():
+    try:
+        global global_df
+        print("Updating hub stats...")
+        print(f"------------------------------------------------------------------------")
+
+        for index, row in global_df.iterrows():
+            # fill blank values with n/a for now? then replace if they try to verify
+
+            # data type of value?
+            # may need this to be fairly long -> complete cycles successfully before starting new job
+            
+            user = row['hf_user_name']
+            if pd.notna(user):
+                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"]
+
+                    # recalculate level as well (no longer only depends on discord activity)
+                    # + total_exp as well (with multipliers)
+    
+                    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")
+                
+                else:
+                    print(f"Failed to retrieve data for user {user}. Status code: {response.status_code}")        
+
+
+    except Exception as e:
+        print(f"Failed to parse data for user {user}. {e}")
+    timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
+    print(f"------------------------------------------------------------------------")
+    print(f"Hub stats successfully updated at {timestamp}! \n{global_df}")
+    print(f"------------------------------------------------------------------------")
         
 executor = ThreadPoolExecutor(max_workers=2)
 scheduler = BackgroundScheduler(executors={'default': executor})
@@ -614,61 +670,7 @@ async def remove_huggingfolks():
 #---------------------------------------------------------------------------------------------
 # UPDATE dataframe WITH HFAPI INFO on a timer
 
-#@tasks.loop(minutes=1) tasks.loop leads to heartbeat blocked issues (merging calculations too much with normal discord bot functions)
-def update_hub_stats():
-    try:
-        global global_df
-        print("Updating hub stats...")
-        print(f"------------------------------------------------------------------------")
-
-        for index, row in global_df.iterrows():
-            # fill blank values with n/a for now? then replace if they try to verify
 
-            # data type of value?
-            # may need this to be fairly long -> complete cycles successfully before starting new job
-            
-            user = row['hf_user_name']
-            if pd.notna(user):
-                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"]
-
-                    # recalculate level as well (no longer only depends on discord activity)
-                    # + total_exp as well (with multipliers)
-    
-                    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")
-                
-                else:
-                    print(f"Failed to retrieve data for user {user}. Status code: {response.status_code}")        
-
-
-    except Exception as e:
-        print(f"Failed to parse data for user {user}. {e}")
-    timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
-    print(f"------------------------------------------------------------------------")
-    print(f"Hub stats successfully updated at {timestamp}! \n{global_df}")
-    print(f"------------------------------------------------------------------------")
 
         
 #---------------------------------------------------------------------------------------------