other top bc's

XX_quant_report.script.py

@@ -20,8 +20,6 @@ from speaking_styles import SPEAKING_STYLES
 RESULTS_FILE = 'data/exports/debug/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'
 
-BEST_CHOSEN_CHARACTER = "the_coach"
-
 
 # %%
 # CLI argument parsing for batch automation
@@ -50,6 +48,8 @@ def parse_cli_args():
         parser.add_argument(f'--{filter_name}', type=str, default=None, help=f'JSON list of {filter_name} values')
     
     parser.add_argument('--filter-name', type=str, default=None, help='Name for this filter combination (used for .txt description file)')
+    parser.add_argument('--figures-dir', type=str, default=f'figures/statistical_significance/{Path(RESULTS_FILE).parts[2]}', help='Override the default figures directory')
+    parser.add_argument('--best-character', type=str, default="the_coach", help='Slug of the best chosen character (default: "the_coach")')
     
     # Only parse if running as script (not in Jupyter/interactive)
     try:
@@ -57,7 +57,7 @@ def parse_cli_args():
         get_ipython()  # noqa: F821 # type: ignore
         # Return namespace with all filters set to None
         no_filters = {f: None for f in FILTER_CONFIG}
-        return argparse.Namespace(**no_filters, filter_name=None)
+        return argparse.Namespace(**no_filters, filter_name=None, figures_dir=f'figures/statistical_significance/{Path(RESULTS_FILE).parts[2]}', best_character="the_coach")
     except NameError:
         args = parser.parse_args()
         # Parse JSON strings to lists
@@ -67,11 +67,12 @@ def parse_cli_args():
         return args
 
 cli_args = parse_cli_args()
+BEST_CHOSEN_CHARACTER = cli_args.best_character
 
 
 
 # %%
-S = QualtricsSurvey(RESULTS_FILE, QSF_FILE)
+S = QualtricsSurvey(RESULTS_FILE, QSF_FILE, figures_dir=cli_args.figures_dir)
 try:
     data_all = S.load_data()
 except NotImplementedError as e: