feat(lists): enhanced filtering

.gitignore

@@ -1,4 +1,5 @@
 01.testing.ipynb
 __pycache__/
 data/
-utils/__pycache__/
+utils/__pycache__/
+.env

app.py

@@ -4,6 +4,9 @@ import os
 import pandas as pd
 import matplotlib.pyplot as plt
 import seaborn as sns
+from dotenv import load_dotenv
+
+load_dotenv(dotenv_path=".env", override=True)
 
 USER = os.getenv("USERNAME")
 PASS = os.getenv("PASSWORD")

requirements.txt

@@ -1 +1,2 @@
-seaborn
+seaborn
+dotenv

utils/gradio_utils.py

@@ -242,13 +242,14 @@ def compute_offer(csv_file, days_lookback, min_sent):
         'Lista Custom', 'Data', 'HClicks', 'Clicks', 'Unscribers', 'Openers',
         'Click Open', 'Leads', 'CLike', 'Complains', 'Traps', 'Send']
     # comcast_df = raw_df[raw_df['Nume'].str.contains('|'.join(cmp_list))]  #1
-    comcast_df = comcast_df[comcast_df['Domeniu'] == 'Comcast']
+    # comcast_df = comcast_df[comcast_df['Domeniu'] == 'Comcast'] #2
+    comcast_df = comcast_df[comcast_df['Send'] > int(min_sent)]
     comcast_df = comcast_df[cols]
     comcast_df['Click Open'] = comcast_df['Click Open'].str.replace('%', '').astype(float)
     exclude_list = comcast_df[comcast_df['Data'] > (pd.Timestamp('now') - pd.Timedelta(days=days_lookback))]['Oferta'].unique()
     comcast_df = comcast_df[~comcast_df['Oferta'].isin(exclude_list)]
-    comcast_df = comcast_df[comcast_df['Send'] > int(min_sent)]
-    comcast_df = comcast_df[comcast_df['Lista Custom'].str.contains('open')]
+    # comcast_df = comcast_df[comcast_df['Lista Custom'].str.contains('open')]
+    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')]
 
     comcast_df.reset_index(drop=True, inplace=True)