PR: Show an error when importing a water level dataset and the data are not monotically increasing in time.

gwhat/projet/manager_data.py

@@ -198,6 +198,7 @@ def wldataset_count(self):
         return len(self.projet.wldsets)
 
     def import_wldataset(self):
+        """Open a dialog window to import a water level dataset from a file."""
         if self.projet is None:
             msg = ('Please first select a valid WHAT project or '
                    'create a new one.')
@@ -281,6 +282,7 @@ def wxdataset_count(self):
         return len(self.projet.wxdsets)
 
     def import_wxdataset(self):
+        """Open a dialog window to import a weather dataset from a file."""
         if self.projet is None:
             msg = ("Please first select a valid project or create a new one.")
             btn = QMessageBox.Ok
@@ -443,9 +445,9 @@ def __initUI__(self):
                "on how to format your input data files correctly."
                "</i></font>"
                ) % (self._datatype.capitalize(), url_i)
-        self._msg = QLabel(msg)
-        self._msg.setVisible(False)
-        self._msg.setOpenExternalLinks(True)
+        self._error_lbl = QLabel(msg)
+        self._error_lbl.setVisible(False)
+        self._error_lbl.setOpenExternalLinks(True)
 
         # Select Dataset Layout
 
@@ -458,10 +460,10 @@ def __initUI__(self):
         grp_dset.addWidget(self.directory, row, 1)
         grp_dset.addWidget(self.btn_browse, row, 3)
         row += 1
-        grp_dset.addWidget(self._msg, row, 1, 1, 3)
+        grp_dset.addWidget(self._error_lbl, row, 1, 1, 3)
 
         grp_dset.setContentsMargins(0, 0, 0, 15)
-        grp_dset.setColumnStretch(2, 100)
+        grp_dset.setColumnStretch(1, 100)
         grp_dset.setVerticalSpacing(15)
 
         # ----- Station Info Groupbox
@@ -539,6 +541,8 @@ def __initUI__(self):
         layout.addLayout(toolbar, 2, 0)
 
         layout.setRowMinimumHeight(3, 15)
+        layout.setRowStretch(10, 100)
+        layout.setColumnStretch(0, 100)
 
     def _add_info_field(self, label, widget):
         """Add a new field to the Station Info group box."""
@@ -624,9 +628,8 @@ def load_dataset(self, filename):
         # Load the Data :
 
         QApplication.setOverrideCursor(Qt.WaitCursor)
-        msg = 'Loading %s data...' % self._datatype
-        print(msg)
-        self.ConsoleSignal.emit('<font color=black>%s</font>' % msg)
+        self.ConsoleSignal.emit(
+            "<font color=black>Loading %s data...</font>" % self._datatype)
         for i in range(5):
             QCoreApplication.processEvents()
 
@@ -678,7 +681,7 @@ def update_gui(self, filename=None):
                 dsetname = dsetname.replace(char, '_')
             self._dset_name.setText(dsetname)
 
-        self._msg.setVisible(
+        self._error_lbl.setVisible(
             self._dataset is None and self.directory.text() != '')
         self.btn_ok.setEnabled(self._dataset is not None)
         self.grp_info.setEnabled(self._dataset is not None)
@@ -742,11 +745,6 @@ def close(self):
         self.directory.clear()
         self.update_gui()
 
-    def show(self):
-        """Qt method override."""
-        super(NewDatasetDialog, self).show()
-        self.setFixedSize(self.size())
-
 
 class ExportWeatherButton(QToolButtonBase):
     """

gwhat/projet/reader_waterlvl.py

@@ -21,15 +21,32 @@
 
 # ---- Read and Load Water Level Datafiles
 
-def read_water_level_datafile(filename):
-    """Load a water level dataset from a csv or Excel file."""
+def open_water_level_datafile(filename):
+    """Open a water level data file and return the data."""
     root, ext = os.path.splitext(filename)
     if ext not in FILE_EXTS:
-        print("ERROR: supported file format are: ", FILE_EXTS)
-        return None
+        raise ValueError("Supported file format are: ", FILE_EXTS)
     else:
         print('Loading waterlvl time-series from %s file...' % ext[1:])
 
+    if ext == '.csv':
+        with open(filename, 'r', encoding='utf8') as f:
+            data = list(csv.reader(f, delimiter=','))
+    elif ext in ['.xls', '.xlsx']:
+        with xlrd.open_workbook(filename, on_demand=True) as wb:
+            sheet = wb.sheet_by_index(0)
+            data = [sheet.row_values(rowx, start_colx=0, end_colx=None) for
+                    rowx in range(sheet.nrows)]
+
+    return data
+
+
+def read_water_level_datafile(filename):
+    """Load a water level dataset from a csv or Excel file."""
+    data = open_water_level_datafile(filename)
+    if data is None:
+        return None
+
     df = {'filename': filename,
           'Well': '',
           'Well ID': '',
@@ -43,20 +60,12 @@ def read_water_level_datafile(filename):
           'BP': np.array([]),
           'ET': np.array([])}
 
-    if ext == '.csv':
-        with open(filename, 'r', encoding='utf8') as f:
-            data = list(csv.reader(f, delimiter=','))
-    elif ext in ['.xls', '.xlsx']:
-        with xlrd.open_workbook(filename, on_demand=True) as wb:
-            sheet = wb.sheet_by_index(0)
-            data = [sheet.row_values(rowx, start_colx=0, end_colx=None) for
-                    rowx in range(sheet.nrows)]
-
     # ---- Read the Header
 
     for row, line in enumerate(data):
         if len(line) == 0:
             continue
+
         try:
             label = line[0].lower().replace(":", "").replace("=", "").strip()
         except AttributeError:
@@ -110,12 +119,17 @@ def read_water_level_datafile(filename):
         df['Time'] = data[:, 0].astype(float)
         df['WL'] = data[:, 1].astype(float)
     except ValueError:
-        print('ERROR: The water level datafile is not formatted correctly')
+        print('The water level datafile is not formatted correctly')
         return None
     else:
         print('Waterlvl time-series for well %s loaded successfully.' %
               df['Well'])
 
+    # The data are not monotically increasing in time.
+    if np.min(np.diff(df['Time'])) <= 0:
+        print("The data are not monotically increasing in time.")
+        return None
+
     # Read the barometric data
 
     try:
@@ -139,9 +153,6 @@ def read_water_level_datafile(filename):
     return df
 
 
-# =============================================================================
-
-
 def make_waterlvl_continuous(t, wl):
     # This method produce a continuous daily water level time series.
     # Missing data are filled with nan values.