Add sport selection feature and update contest file loading logic

- Introduced a sport selection dropdown in app.py to allow users to specify the sport for contest data.
- Updated the load_contest_file function to accept the selected sport as a parameter, enabling sport-specific data handling.
- Enhanced the data processing logic to rename player columns based on the selected sport, improving clarity and usability.

app.py

@@ -21,6 +21,7 @@ tab1, tab2 = st.tabs(["Data Load", "Contest Analysis"])
 with tab1:
     if st.button('Clear data', key='reset1'):
         st.session_state.clear()
+    sport_select = st.selectbox("Select Sport", ['MLB', 'NBA', 'NFL'])
     # Add file uploaders to your app
     col1, col2, col3 = st.columns(3)
     
@@ -32,7 +33,7 @@ with tab1:
             del st.session_state['Contest']
 
         if Contest_file:
-            st.session_state['Contest'], st.session_state['ownership_dict'], st.session_state['entry_list'] = load_contest_file(Contest_file)
+            st.session_state['Contest'], st.session_state['ownership_dict'], st.session_state['entry_list'] = load_contest_file(Contest_file, sport_select)
             st.session_state['Contest'] = st.session_state['Contest'].dropna(how='all')
             st.session_state['Contest'] = st.session_state['Contest'].reset_index(drop=True)
             if st.session_state['Contest'] is not None:

global_func/load_contest_file.py

@@ -7,7 +7,7 @@ from fuzzywuzzy import process
 ## import global functions
 from global_func.clean_player_name import clean_player_name
 
-def load_contest_file(upload):
+def load_contest_file(upload, sport):
     pos_values = ['P', 'C', '1B', '2B', '3B', 'SS', 'OF']
     if upload is not None:
         try:
@@ -45,8 +45,12 @@ def load_contest_file(upload):
                 df[i] = df['Lineup'].str.split(',').str[i].str.strip()
                 # Remove position indicators from the end of each entry
                 df[i] = df[i].str.replace(r'\s+(' + '|'.join(pos_values) + r')$', '', regex=True)
+            
+            if sport == 'MLB':
+                df = df.rename(columns={'1': '1B', '2': '2B', '3': '3B', '4': 'C', '5': 'OF1', '6': 'OF2', '7': 'OF3', '8': 'SP1', '9': 'SP2', '10': 'SS'})
             ownership_dict = dict(zip(df['Player'], df['Own']))
             cleaned_df = df.drop(columns=['EntryId', 'EntryName', 'TimeRemaining', 'Points', 'Lineup', 'Player', 'Pos', 'Own', 'FPTS'])
+            cleaned_df = cleaned_df[['BaseName', 'EntryCount', 'SP1', 'SP2', 'C', '1B', '2B', '3B', 'SS', 'OF1', 'OF2', 'OF3']]
             entry_list = list(set(df['BaseName']))
             entry_list.sort()