James McCool commited on
Commit
e8a3351
·
1 Parent(s): 8794602

Enhance contest data handling in app.py

Browse files

- Updated the condition for accessing contest data in session state to prevent duplication frame errors.
- Ensured that the duplication frame is only processed when the contest data is available, improving application stability and user experience.

Files changed (1) hide show
  1. app.py +3 -2
app.py CHANGED
@@ -149,7 +149,7 @@ with tab1:
149
 
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  with tab2:
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  excluded_cols = ['BaseName', 'EntryCount']
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- if 'Contest' in st.session_state:
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  player_columns = [col for col in st.session_state['Contest'].columns if col not in excluded_cols]
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  for col in player_columns:
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  st.session_state['Contest'][col] = st.session_state['Contest'][col].astype(str)
@@ -346,6 +346,7 @@ with tab2:
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  hide_index=True
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  )
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  with st.container():
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  tab1, tab2, tab3, tab4, tab5 = st.tabs(['Player Used Info', 'Stack Used Info', 'Stack Size Info', 'General Info', 'Duplication Info'])
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  with tab1:
@@ -492,4 +493,4 @@ with tab2:
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  st.dataframe(st.session_state['duplication_frame'].iloc[start_dupe_idx:end_dupe_idx].style.
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  background_gradient(cmap='RdYlGn', subset=['uniques%', 'under_5%', 'under_10%'], axis=0).
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  background_gradient(cmap='RdYlGn', subset=['uniques', 'under_5', 'under_10'], axis=0).
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- format(dupe_format, precision=2), hide_index=True)
 
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  with tab2:
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  excluded_cols = ['BaseName', 'EntryCount']
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+ if 'Contest' in st.session_state and 'duplication_frame' not in st.session_state:
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  player_columns = [col for col in st.session_state['Contest'].columns if col not in excluded_cols]
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  for col in player_columns:
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  st.session_state['Contest'][col] = st.session_state['Contest'][col].astype(str)
 
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  hide_index=True
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  )
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+ if 'Contest' in st.session_state:
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  with st.container():
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  tab1, tab2, tab3, tab4, tab5 = st.tabs(['Player Used Info', 'Stack Used Info', 'Stack Size Info', 'General Info', 'Duplication Info'])
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  with tab1:
 
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  st.dataframe(st.session_state['duplication_frame'].iloc[start_dupe_idx:end_dupe_idx].style.
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  background_gradient(cmap='RdYlGn', subset=['uniques%', 'under_5%', 'under_10%'], axis=0).
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  background_gradient(cmap='RdYlGn', subset=['uniques', 'under_5', 'under_10'], axis=0).
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+ format(dupe_format, precision=2), hide_index=True)