fix to stats when no json file is defined

src/shared/flaresbasewidget.py

@@ -11,6 +11,8 @@ import json
 
 from pathlib import Path
 from typing import Sequence, Any
+import pandas as pd
+from pandas import DataFrame
 from PySide6.QtWidgets import QApplication, QComboBox, QDialog, QGridLayout, QHBoxLayout, QLabel, QLineEdit, QListView, QMessageBox, QPushButton, QScrollArea, QVBoxLayout, QWidget, QFrame, QSpinBox
 from PySide6.QtGui import QStandardItemModel, QStandardItem, QPixmap, QIntValidator, QDoubleValidator
 from PySide6.QtCore import QEvent, QSize, Qt
@@ -1380,7 +1382,7 @@ class CrossGroupUIMixin:
     def get_common_request_data(
         self,
         parameterized_indexes: dict[int, list[dict[str, Any]]],
-        json_location: str | Path | None = None,
+        df_ind_dict: dict[str, DataFrame] | None = None,
         contrast_dfs: dict[str, dict[str, Any]] | None = None,
     ) -> tuple[str | None, list[str], list[str], list[str], list[int], dict[str, Any]] | None:
         
@@ -1423,19 +1425,15 @@ class CrossGroupUIMixin:
 
         dynamic_rois = []
         
-        # 1. Check for the JSON file and parse ROI names
-        if os.path.exists(json_location):
-            try:
-                with open(json_location, 'r', encoding='utf-8') as f:
-                    regions_data = json.load(f)
-                    
-                    # Extract "name" from each region under "regions_of_interest"
-                    regions_list = regions_data.get("regions_of_interest", [])
-                    dynamic_rois = [region["name"] for region in regions_list if "name" in region]
-                    
-            except Exception as e:
-                # Safe log if JSON is corrupted or unreadable
-                print(f"Error reading ROI configurations from {json_location}: {e}")
+        if df_ind_dict:
+            roi_set = set()
+            for fp in all_selected_paths:
+                df_roi = df_ind_dict.get(fp)
+                if isinstance(df_roi, pd.DataFrame) and "ROI" in df_roi.columns:
+                    roi_set.update(df_roi["ROI"].dropna().unique())
+
+            if roi_set:
+                dynamic_rois = sorted(list(roi_set))
                 
         # Fallback to prevent UI crashes if JSON file doesn't exist or is empty
         if not dynamic_rois:
@@ -1580,7 +1578,7 @@ class InterGroupUIMixin:
         self.layout.addLayout(self.top_bar)
 
         self.group_to_paths = {}
-        for file_path, group_name in self.group.items():
+        for file_path, group_name in self.group_dict.items():
             self.group_to_paths.setdefault(group_name, []).append(file_path)
 
         self.group_names = sorted(self.group_to_paths.keys())
@@ -1632,7 +1630,7 @@ class InterGroupUIMixin:
     def get_common_request_data(
         self,
         parameterized_indexes: dict[int, list[dict[str, Any]]],
-        json_location: str | Path | None = None,
+        df_ind_dict: dict[str, DataFrame] | None = None,
         contrast_dfs: dict[str, dict[str, Any]] | None = None,
     ) -> tuple[str | None, list[str], list[int], dict[str, Any]] | None:
         
@@ -1679,20 +1677,16 @@ class InterGroupUIMixin:
 
         dynamic_rois = []
         
-        # 1. Check for the JSON file and parse ROI names
-        if json_location is not None and os.path.exists(json_location):
-            try:
-                with open(json_location, 'r', encoding='utf-8') as f:
-                    regions_data = json.load(f)
-                    
-                    # Extract "name" from each region under "regions_of_interest"
-                    regions_list = regions_data.get("regions_of_interest", [])
-                    dynamic_rois = [region["name"] for region in regions_list if "name" in region]
-                    
-            except Exception as e:
-                # Safe log if JSON is corrupted or unreadable
-                print(f"Error reading ROI configurations from {json_location}: {e}")
-                
+        if df_ind_dict:
+            roi_set = set()
+            for fp in selected_file_paths:
+                df_roi = df_ind_dict.get(fp)
+                if isinstance(df_roi, pd.DataFrame) and "ROI" in df_roi.columns:
+                    roi_set.update(df_roi["ROI"].dropna().unique())
+
+            if roi_set:
+                dynamic_rois = sorted(list(roi_set))
+
         # Fallback to prevent UI crashes if JSON file doesn't exist or is empty
         if not dynamic_rois:
             dynamic_rois = ["Option 1", "Option 2"]