fixed consumer and ethnicity filter combinations

03_quant_report.script.py

@@ -54,7 +54,7 @@ cli_args = parse_cli_args()
 # mo.stop(file_browser.path(index=0) is None, mo.md("**⚠️ Please select a `_Labels.csv` file above to proceed**"))
 # RESULTS_FILE = Path(file_browser.path(index=0))
 
-RESULTS_FILE = 'data/exports/2-2-26/JPMC_Chase Brand Personality_Quant Round 1_February 2, 2026_Labels.csv'
+RESULTS_FILE = 'data/exports/2-3-26_Copy-2-2-26/JPMC_Chase Brand Personality_Quant Round 1_February 2, 2026_Labels.csv'
 QSF_FILE = 'data/exports/OneDrive_2026-01-21/Soft Launch Data/JPMC_Chase_Brand_Personality_Quant_Round_1.qsf'
 
 # %%

run_filter_combinations.py

@@ -60,11 +60,24 @@ def get_filter_combinations(survey: QualtricsSurvey) -> list[dict]:
             'filters': {'gender': [gender]}
         })
     
-    # Ethnicity - one at a time
+    # Ethnicity - grouped by individual values
-    for ethnicity in survey.options_ethnicity:
+    # Ethnicity options are comma-separated (e.g., "White or Caucasian, Hispanic or Latino")
+    # Create filters that include ALL options containing each individual ethnicity value
+    ethnicity_values = set()
+    for ethnicity_option in survey.options_ethnicity:
+        # Split by comma and strip whitespace
+        values = [v.strip() for v in ethnicity_option.split(',')]
+        ethnicity_values.update(values)
+    
+    for ethnicity_value in sorted(ethnicity_values):
+        # Find all options that contain this value
+        matching_options = [
+            opt for opt in survey.options_ethnicity 
+            if ethnicity_value in [v.strip() for v in opt.split(',')]
+        ]
         combinations.append({
-            'name': f'Ethnicity-{ethnicity}',
+            'name': f'Ethnicity-{ethnicity_value}',
-            'filters': {'ethnicity': [ethnicity]}
+            'filters': {'ethnicity': matching_options}
         })
     
     # Income - one at a time
@@ -74,11 +87,24 @@ def get_filter_combinations(survey: QualtricsSurvey) -> list[dict]:
             'filters': {'income': [income]}
         })
     
-    # Consumer segments - one at a time
+    # Consumer segments - combine _A and _B options
+    # Group options by base name (removing _A/_B suffix)
+    consumer_groups = {}
     for consumer in survey.options_consumer:
+        # Check if ends with _A or _B
+        if consumer.endswith('_A') or consumer.endswith('_B'):
+            base_name = consumer[:-2]  # Remove last 2 chars (_A or _B)
+            if base_name not in consumer_groups:
+                consumer_groups[base_name] = []
+            consumer_groups[base_name].append(consumer)
+        else:
+            # Not an _A/_B option, keep as-is
+            consumer_groups[consumer] = [consumer]
+    
+    for base_name, options in consumer_groups.items():
         combinations.append({
-            'name': f'Consumer-{consumer}',
+            'name': f'Consumer-{base_name}',
-            'filters': {'consumer': [consumer]}
+            'filters': {'consumer': options}
         })
     
     return combinations