fix: fixed filtering prioritization
Browse files- utils/gradio_utils.py +5 -2
utils/gradio_utils.py
CHANGED
@@ -243,11 +243,14 @@ def compute_offer(csv_file, days_lookback, min_sent):
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'Click Open', 'Leads', 'CLike', 'Complains', 'Traps', 'Send']
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# comcast_df = raw_df[raw_df['Nume'].str.contains('|'.join(cmp_list))] #1
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# comcast_df = comcast_df[comcast_df['Domeniu'] == 'Comcast'] #2
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comcast_df = comcast_df[comcast_df['Send'] > int(min_sent)]
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comcast_df = comcast_df[cols]
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comcast_df['Click Open'] = comcast_df['Click Open'].str.replace('%', '').astype(float)
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-
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-
comcast_df = comcast_df[~comcast_df['Oferta'].isin(exclude_list)]
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# comcast_df = comcast_df[comcast_df['Lista Custom'].str.contains('open')]
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comcast_df = comcast_df[comcast_df['Nume'].str.startswith("Aeon News") & comcast_df['Nume'].str.contains(r'\b[A-Z]{3}\b.*\b\d{4}\*?\s*(\(\d{4}\))?\b')]
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'Click Open', 'Leads', 'CLike', 'Complains', 'Traps', 'Send']
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# comcast_df = raw_df[raw_df['Nume'].str.contains('|'.join(cmp_list))] #1
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# comcast_df = comcast_df[comcast_df['Domeniu'] == 'Comcast'] #2
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+
exclude_list = comcast_df[(comcast_df['Data'] > (pd.Timestamp('now') - pd.Timedelta(days=days_lookback))) \
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& (comcast_df['Domeniu'] == 'Comcast')]['Oferta'].unique()
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comcast_df = comcast_df[~comcast_df['Oferta'].isin(exclude_list)]
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+
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comcast_df = comcast_df[comcast_df['Send'] > int(min_sent)]
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comcast_df = comcast_df[cols]
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comcast_df['Click Open'] = comcast_df['Click Open'].str.replace('%', '').astype(float)
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+
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# comcast_df = comcast_df[comcast_df['Lista Custom'].str.contains('open')]
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comcast_df = comcast_df[comcast_df['Nume'].str.startswith("Aeon News") & comcast_df['Nume'].str.contains(r'\b[A-Z]{3}\b.*\b\d{4}\*?\s*(\(\d{4}\))?\b')]
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