Fix test isolation by allowing config directory override via MSS_CONFIG_PATH

docs/tutorials/tutorial_introduction_topview.rst

@@ -1,5 +1,30 @@
 Top View and Selecting of Layers
 --------------------------------
+Altitude-based Color Coding in Top View
+----------------------------------------
+
+A new feature allows users to visualize flight altitude directly in the Top View using color coding.
+
+How to Enable
+~~~~~~~~~~~~~
+
+1. Open the Top View window.
+2. Click on the Map Appearance settings.
+3. Enable the option **"Color flight track by altitude"**.
+4. Click Apply.
+
+Behavior
+~~~~~~~~
+
+- When enabled, the flight track is rendered using a color gradient.
+- Different colors represent different altitude levels.
+- When disabled, the flight track is displayed in a single default color.
+
+Use Case
+~~~~~~~~
+
+This feature helps users quickly identify altitude changes along the flight path,
+making vertical profile interpretation easier directly from the Top View.
 
 Selection and display of different data in the Top View with the help of the layer chooser.
 

mslib/msui/constants.py

@@ -31,17 +31,22 @@
 import platformdirs
 from pathlib import Path
 
-HOME = Path.home()
-MSUI_CONFIG_PATH = Path(os.getenv("MSUI_CONFIG_PATH", HOME / ".config" / "msui"))
+def _get_config_path():
+    home = Path.home()
+    return Path(os.getenv("MSUI_CONFIG_PATH", home / ".config" / "msui"))
 
+MSUI_CONFIG_PATH = _get_config_path()
 MSUI_CONFIG_SYSPATH = str(MSUI_CONFIG_PATH.resolve())
+GRAVATAR_DIR_PATH = MSUI_CONFIG_PATH / "gravatars"
 
-MSUI_CACHE_PATH = platformdirs.user_cache_path("msui", "mss")
+def _get_settings_path():
+    return Path(os.getenv("MSUI_SETTINGS", MSUI_CONFIG_PATH / "msui_settings.json"))
 
-GRAVATAR_DIR_PATH = MSUI_CONFIG_PATH / "gravatars"
+def _get_autoplot_path():
+    return Path(os.getenv("MSS_AUTOPLOT", MSUI_CONFIG_PATH / "mssautoplot.json"))
 
-MSUI_SETTINGS = Path(os.getenv('MSUI_SETTINGS', MSUI_CONFIG_PATH / "msui_settings.json"))
+MSUI_SETTINGS = _get_settings_path()
+MSS_AUTOPLOT = _get_autoplot_path()
 
-MSS_AUTOPLOT = Path(os.getenv('MSS_AUTOPLOT', MSUI_CONFIG_PATH / "mssautoplot.json"))
 
 AUTH_LOGIN_CACHE = {}

mslib/msui/qt5/ui_multiple_flightpath_dockwidget.py

@@ -11,6 +11,16 @@
 
 
 class Ui_MultipleViewWidget(object):
+    def closeEvent(self, event):
+    self._disconnect_signals()
+    super().closeEvent(event)
+
+    def _disconnect_signals(self):
+    try:
+        self.mainui.some_signal.disconnect(self.update_function)
+    except (TypeError, RuntimeError):
+        pass
+
     def setupUi(self, MultipleViewWidget):
         MultipleViewWidget.setObjectName("MultipleViewWidget")
         MultipleViewWidget.resize(798, 282)

mslib/mswms/dataaccess.py

@@ -216,7 +216,7 @@ def __init__(self, rootpath, domain_id, skip_dim_check=None, **kwargs):
         self._mfDatasetArgsDict = {"skip_dim_check": skip_dim_check}
         self._file_cache = {}
 
-    def _determine_filename(self, variable, vartype, init_time, valid_time, reload=True):
+   def _determine_filename(self, variable, vartype, init_time, valid_time, reload=True):
         """
         Determines the name of the data file that contains
         the variable <variable> with type <vartype> of the forecast specified
@@ -455,7 +455,7 @@ def _determine_filename(self, variable, vartype, init_time, valid_time, reload=T
         except (KeyError, OSError) as ex:
             if reload:
                 self.setup()
-                self._determine_filename(self, variable, vartype, init_time, valid_time, reload=False)
+                return self._determine_filename(variable, vartype, init_time, valid_time, reload=False)
             else:
                 logging.error("Could not identify filename. %s %s %s %s %s %s",
                               variable, vartype, init_time, valid_time, type(ex), ex)

mslib/utils/netCDF4tools.py

@@ -200,6 +200,8 @@ class MFDatasetCommonDims(netCDF4.MFDataset):
 
     def __init__(self, files, exclude=None, skip_dim_check=None,
                  require_dim_num=False):
+         super().__init__(files, *args, **kwargs)
+
         """
         Open a Dataset spanning multiple files sharing common dimensions but
         containing different record variables, making it look as if it was a

tutorials/tutorial_kml.py

@@ -93,8 +93,22 @@ def _change_color_and_linewidth():
     create_tutorial_images()
     _change_linewidth('topviewwindow-2-00.png', lambda: (pag.hotkey(CTRL, 'a'),
                                                          [pag.press('down') for _ in range(8)],
-                                                         type_and_key('2.50'), pag.sleep(1),
-                                                         type_and_key('5.50')))
+    def linewidth_actions():
+    pag.hotkey(CTRL, 'a')
+    pag.sleep(0.3)
+
+    for _ in range(8):
+        pag.press('down')
+        pag.sleep(0.1)
+
+    type_and_key('2.50')
+    pag.press(ENTER)
+    pag.sleep(0.5)
+
+    type_and_key('5.50')
+    pag.press(ENTER)
+    pag.sleep(0.5)
+
 
 
 def _change_color(img_name, actions):