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Fixed logic in setup for determining the 'face' of double sided cards

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mwisnowski 2024-12-26 10:02:12 -08:00
parent f9ae7fa41e
commit b3de39bffb
1 changed files with 5 additions and 4 deletions
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9
setup.py
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@ -45,9 +45,9 @@ def filter_by_color(df, column_name, value, new_csv_name):
filtered_df = filtered_df[~filtered_df['type'].str.contains(card_type)] filtered_df = filtered_df[~filtered_df['type'].str.contains(card_type)]
filtered_df['faceName'] = filtered_df['faceName'].fillna(filtered_df['name']) filtered_df['faceName'] = filtered_df['faceName'].fillna(filtered_df['name'])
filtered_df.drop_duplicates(subset='faceName', keep='first', inplace=True) filtered_df.drop_duplicates(subset='faceName', keep='first', inplace=True)
columns_to_keep = ['name', 'faceName','edhrecRank','colorIdentity', 'colors', 'manaCost', 'manaValue', 'type', 'layout', 'text', 'power', 'toughness', 'keywords'] columns_to_keep = ['name', 'faceName','edhrecRank','colorIdentity', 'colors', 'manaCost', 'manaValue', 'type', 'layout', 'text', 'power', 'toughness', 'keywords', 'side']
filtered_df = filtered_df[columns_to_keep] filtered_df = filtered_df[columns_to_keep]
filtered_df.sort_values(by='name', key=lambda col: col.str.lower(), inplace=True) filtered_df.sort_values(by=['name', 'side'], key=lambda col: col.str.lower(), inplace=True)
filtered_df.to_csv(new_csv_name, index=False) filtered_df.to_csv(new_csv_name, index=False)
@ -170,10 +170,11 @@ def determine_commanders():
filtered_df = filtered_df[~filtered_df['type'].str.contains(card_type)] filtered_df = filtered_df[~filtered_df['type'].str.contains(card_type)]
filtered_df['faceName'] = filtered_df['faceName'].fillna(filtered_df['name']) filtered_df['faceName'] = filtered_df['faceName'].fillna(filtered_df['name'])
filtered_df.drop_duplicates(subset='faceName', keep='first', inplace=True) filtered_df.drop_duplicates(subset='faceName', keep='first', inplace=True)
columns_to_keep = ['name', 'faceName','edhrecRank','colorIdentity', 'colors', 'manaCost', 'manaValue', 'type', 'layout', 'text', 'power', 'toughness', 'keywords'] columns_to_keep = ['name', 'faceName','edhrecRank','colorIdentity', 'colors', 'manaCost', 'manaValue', 'type', 'layout', 'text', 'power', 'toughness', 'keywords', 'side']
filtered_df = filtered_df[columns_to_keep] filtered_df = filtered_df[columns_to_keep]
filtered_df.sort_values(by='name', key=lambda col: col.str.lower(), inplace=True) filtered_df.sort_values(by=['name', 'side'], key=lambda col: col.str.lower(), inplace=True)
filtered_df.to_csv(f'{csv_directory}/commander_cards.csv', index=False) filtered_df.to_csv(f'{csv_directory}/commander_cards.csv', index=False)
print('commander_cards.csv file generated.') print('commander_cards.csv file generated.')
def initial_setup(): def initial_setup():