Refactor file upload sections in `app.py` for improved organization and clarity

- Removed the CSV upload section for Draftkings/Fanduel, streamlining the interface.
- Adjusted column layout for contest and projections file uploads to enhance user experience.
- Updated the handling of uploaded files to ensure better data management and accessibility.

app.py

@@ -22,38 +22,8 @@ with tab1:
         st.session_state.clear()
     # Add file uploaders to your app
     col1, col2, col3 = st.columns(3)
-
-    with col1:
-        st.subheader("Draftkings/Fanduel CSV")
-        st.info("Upload the player pricing CSV from the site you are playing on.")
-
-        upload_csv_col, csv_template_col = st.columns([3, 1])
-        with upload_csv_col:
-            csv_file = st.file_uploader("Upload CSV File", type=['csv'])
-            if 'csv_file' in st.session_state:
-                del st.session_state['csv_file']
-        with csv_template_col:
-
-            csv_template_df = pd.DataFrame(columns=['Name', 'ID', 'Roster Position', 'Salary'])
-
-            st.download_button(
-                label="CSV Template",
-                data=csv_template_df.to_csv(index=False),
-                file_name="csv_template.csv",
-                mime="text/csv"
-            )
-        st.session_state['csv_file'] = load_csv(csv_file)
-        try:
-            st.session_state['csv_file']['Salary'] = st.session_state['csv_file']['Salary'].astype(str).str.replace(',', '').astype(int)
-        except:
-            pass
-            
-        if csv_file:
-            st.session_state['csv_file'] = st.session_state['csv_file'].drop_duplicates(subset=['Name'])
-            st.success('Projections file loaded successfully!')
-            st.dataframe(st.session_state['csv_file'].head(10))
     
-    with col2:
+    with col1:
         st.subheader("Contest File")
         st.info("Go ahead and upload a Contest file here. Only include player columns and an optional 'Stack' column if you are playing MLB.")
         Contest_file = st.file_uploader("Upload Contest File (CSV or Excel)", type=['csv', 'xlsx', 'xls'])
@@ -68,7 +38,7 @@ with tab1:
                 st.success('Contest file loaded successfully!')
                 st.dataframe(st.session_state['Contest'].head(10))
 
-    with col3:
+    with col2:
         st.subheader("Projections File")
         st.info("upload a projections file that has 'player_names', 'salary', 'median', 'ownership', and 'captain ownership' (Needed for Showdown) columns. Note that the salary for showdown needs to be the FLEX salary, not the captain salary.")
         

global_func/load_file.py

@@ -21,6 +21,12 @@ def load_file(upload):
             
             df = raw_df[['EntryId', 'EntryName', 'TimeRemaining', 'Points', 'Lineup', 'Player', 'Roster Position', '%Drafted', 'FPTS']]
             df = df.rename(columns={'Roster Position': 'Pos', '%Drafted': 'Own'})
+            
+            # Split EntryName into base name and entry count
+            df['BaseName'] = df['EntryName'].str.replace(r'\s*\(\d+/\d+\)$', '', regex=True)
+            df['EntryCount'] = df['EntryName'].str.extract(r'\((\d+/\d+)\)')
+            df['EntryCount'] = df['EntryCount'].fillna('1/1')  # Default to 1/1 if no entry count
+            
             # Split the lineup string by replacing position indicators with commas
             # We need to ensure we only replace position indicators that are at the start of a player entry
             # and not those that might appear within player names
@@ -33,7 +39,7 @@ def load_file(upload):
                 df[i] = df[i].str.replace(r'\s+(' + '|'.join(pos_values) + r')$', '', regex=True)
             position_dict = dict(zip(df['Player'], df['Pos']))
             ownership_dict = dict(zip(df['Player'], df['Own']))
-            entry_list = list(set(df['EntryName']))
+            entry_list = list(set(df['BaseName']))
             entry_list.sort()
             
             return df, position_dict, ownership_dict, entry_list