re

app.py

@@ -51,6 +51,7 @@ api = HfApi()
 #csv_file = 'data.csv'
 global_df = pd.DataFrame()
 print(type(global_df))
+data = pd.read_csv("https://docs.google.com/spreadsheets/d/1hQSsIg1Y9WdBF_CdNM1L1rUUREoxKqRTe3_ILo-WK8w/export?format=csv&gid=0")
 
 @bot.event
 async def on_ready():
@@ -60,9 +61,8 @@ async def on_ready():
     # testing sheet -> read -> paste sheet
 
     """import data from google sheets -> HF Space .csv (doesn't make API call this way, as it's read-only)""" 
-    data = pd.read_csv("https://docs.google.com/spreadsheets/d/1hQSsIg1Y9WdBF_CdNM1L1rUUREoxKqRTe3_ILo-WK8w/export?format=csv&gid=0")    
+
     data['discord_user_id'] = data['discord_user_id'].astype(str)
-    print(data)
     global_df = data
     print(f"csv successfully retrieved: {global_df}")
     #data.to_csv(csv_file, index=False)
@@ -211,11 +211,11 @@ async def add_exp(member_id):
             xp = 10 # define somewhere else?
             current_level = calculate_level(xp)
             member_name = member.name
-            member_id_str = str(member_id)
             print(f"test") 
             row_data = [member_id, member_name, xp, current_level]
             print(f"test") 
             new_row_df = pd.DataFrame([row_data], columns=global_df.columns)
+            print(type(global_df))
             #updated_df = global_df.append(new_row_df, ignore_index=True) deprecated
             updated_df = pd.concat([global_df, pd.DataFrame([new_row_df])], ignore_index=True)
             print(f"test") 
@@ -315,9 +315,6 @@ async def xp_help(ctx):
     help_message = "How to earn Discord / Hub exp: Post messages, react, Like, discuss, create repos and papers"
     await ctx.author.send(help_message)
 
-
-
-
 # embeds with user pfps? 
 # name, pfp, time in server....
 
@@ -334,21 +331,27 @@ async def xp_help(ctx):
 # check if members are still in the server 
 
 
+
+
+    
+
+
 """"""
 DISCORD_TOKEN = os.environ.get("DISCORD_TOKEN", None)
 def run_bot():
     bot.run(DISCORD_TOKEN)
 threading.Thread(target=run_bot).start()
 
-
 URL = "https://docs.google.com/spreadsheets/d/1hQSsIg1Y9WdBF_CdNM1L1rUUREoxKqRTe3_ILo-WK8w/edit#gid=0"
 csv_url = URL.replace('/edit#gid=', '/export?format=csv&gid=')
 
+
 def get_data():
-    getdata = pd.read_csv(csv_url)
-    first_3_columns = getdata.iloc[:, 1:4]
+    data = pd.read_csv(csv_url)
+    first_3_columns = data.iloc[:, 1:4]
     first_3_columns.to_csv('first_3_columns.csv', index=False)
-    return first_3_columns    
+    return first_3_columns
+
 # csv
 # read into pandas dataframe1
 # read levels column and create pandas dataframe2 with first column containing levels from 2-max found in dataframe1
@@ -360,7 +363,7 @@ with demo:
     column_values_unique = sorted(dataframe1.iloc[:, 3].unique())
     dataframe2 = pd.DataFrame({'Levels': column_values_unique})
     counts = {}
-    for value in dataframe1.iloc[:, 3]:
+    for value in data.iloc[:, 3]:
         counts[value] = counts.get(value, 0) + 1
     dataframe2['Members'] = dataframe2['Levels'].map(counts)
 
@@ -394,4 +397,3 @@ demo.queue().launch()
 
 
 
-