James McCool
commited on
Commit
·
b5858b5
1
Parent(s):
a707b59
Remove caching decorators from several functions in app.py to streamline data processing
Browse files- Eliminated the
@st
.cache_data decorator from functions handling contest names, player info, and file exports to simplify data management.
- This change aims to enhance performance by reducing unnecessary caching, aligning with ongoing efforts to optimize application efficiency.
app.py
CHANGED
@@ -19,7 +19,6 @@ def init_conn():
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return db
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-
@st.cache_data
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def grab_contest_names(db, sport, type):
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if type == 'Classic':
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db_type = 'reg'
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@@ -35,7 +34,6 @@ def grab_contest_names(db, sport, type):
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return contest_names, curr_info
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-
@st.cache_data
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def grab_contest_player_info(db, sport, type, contest_date, contest_name, contest_id_map):
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if type == 'Classic':
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db_type = 'reg'
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@@ -59,7 +57,6 @@ def grab_contest_player_info(db, sport, type, contest_date, contest_name, contes
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return player_info, info_maps
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-
@st.cache_data
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def export_contest_file(db, sport, type, contest_date, contest_id, contest_data):
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if type == 'Classic':
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db_type = 'reg'
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@@ -107,14 +104,12 @@ from global_func.create_stack_comparison import create_stack_comparison
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from global_func.create_size_comparison import create_size_comparison
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from global_func.create_general_comparison import create_general_comparison
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-
@st.cache_data
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def is_valid_input(file):
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if isinstance(file, pd.DataFrame):
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return not file.empty
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else:
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return file is not None # For Streamlit uploader objects
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-
@st.cache_data
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def highlight_row_condition(row):
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if row['BaseName'] == 'Backtesting_upload':
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return ['background-color: lightgreen'] * len(row)
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return db
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def grab_contest_names(db, sport, type):
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if type == 'Classic':
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db_type = 'reg'
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return contest_names, curr_info
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def grab_contest_player_info(db, sport, type, contest_date, contest_name, contest_id_map):
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if type == 'Classic':
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db_type = 'reg'
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return player_info, info_maps
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def export_contest_file(db, sport, type, contest_date, contest_id, contest_data):
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if type == 'Classic':
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db_type = 'reg'
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from global_func.create_size_comparison import create_size_comparison
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from global_func.create_general_comparison import create_general_comparison
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def is_valid_input(file):
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if isinstance(file, pd.DataFrame):
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return not file.empty
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else:
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return file is not None # For Streamlit uploader objects
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def highlight_row_condition(row):
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if row['BaseName'] == 'Backtesting_upload':
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return ['background-color: lightgreen'] * len(row)
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