Add profile and block IDs to diagnostic output files

probabilistic-analysis/probabilistic_assessment.py

@@ -624,6 +624,12 @@ def process(beach_name, beach_scenario, n_runs, start_year, end_year,
                                                  float_format='%g')
 
                 if output_diagnostics:
+                    # Generate basename for diagnostic files
+                    diag_basename = (f"{beach_scenario} "
+                                     f"{profile_type} "
+                                     f"block-{prof['block']} "
+                                     f"profile-{prof['profile']}")
+
                     # Save probabilistic diagnostics
                     year_idx = year == years
 
@@ -684,10 +690,8 @@ def process(beach_name, beach_scenario, n_runs, start_year, end_year,
                         0, 100, num=n_runs + 2)[1:-1]
                     dump_df = dump_df.set_index('Encounter probability (%)')
 
-                    csv_name = os.path.join(
+                    csv_name = os.path.join('diagnostics',
-                        'diagnostics',
+                                            diag_basename + '.csv')
-                        '{} {} {}.csv'.format(beach_scenario, year,
-                                              profile_type))
                     dump_df = dump_df[::100]  # Only output every 100th row
                     dump_df.to_csv(csv_name, float_format='%g')
 
@@ -716,9 +720,8 @@ def process(beach_name, beach_scenario, n_runs, start_year, end_year,
                                  y=0.92)
 
             if output_diagnostics:
-                figname = os.path.join(
+                figname = os.path.join('diagnostics',
-                    'diagnostics',
+                                       diag_basename + ' scatter.png')
-                    f'{beach_scenario} {profile_type} scatter.png')
                 plt.savefig(figname, bbox_inches='tight', dpi=300)
                 plt.close(fig)
 
@@ -825,9 +828,8 @@ def process(beach_name, beach_scenario, n_runs, start_year, end_year,
                     a.spines['top'].set_visible(False)
                     a.spines['right'].set_visible(False)
 
-                figname = os.path.join(
+                figname = os.path.join('diagnostics',
-                    'diagnostics',
+                                       diag_basename + ' timeseries.png')
-                    f'{beach_scenario} {profile_type} timeseries.png')
                 plt.savefig(figname, bbox_inches='tight', dpi=300)
                 plt.close(fig)