def test_info_excel_file(self):
"""HRA: test excel files read correctly by _get_info_dataframe."""
from natcap.invest.hra import _get_info_dataframe
# Make an info CSV file and read it as a dataframe
info_csv_path = os.path.join(self.workspace_dir, 'info.csv')
_make_info_csv(
info_csv_path, workspace_dir=self.workspace_dir, rel_path=True)
expected_df = _get_info_dataframe(
info_csv_path, self.workspace_dir, self.workspace_dir,
self.workspace_dir, '')[0].astype(str)
# Since we don't have openpyxl library, use the existing excel file
# from TEST_DATA folder, and copy it to self.workspace_dir so
# the function won't raise exceptions about vector or raster files
# in the table not existing
info_excel_path = os.path.join(TEST_DATA, 'info_excel.xlsx')
copied_info_excel_path = os.path.join(
self.workspace_dir, 'info_excel.xlsx')
shutil.copyfile(info_excel_path, copied_info_excel_path)
out_df = _get_info_dataframe(
copied_info_excel_path, self.workspace_dir, self.workspace_dir,
self.workspace_dir, '')[0].astype(str)
self.assertTrue(
out_df.equals(expected_df),
'The dataframes read from info CSV and excel files are different.')
def test_wrong_layer_type_in_info_csv(self):
"""HRA: exception raised when layer type is wrong info CSV."""
from natcap.invest.hra import _get_info_dataframe
# Test missing columns from info CSV
bad_info_table_path = os.path.join(self.workspace_dir,
'bad_criteria.csv')
_make_info_csv(bad_info_table_path,
workspace_dir=self.workspace_dir,
wrong_layer_type=True)
with self.assertRaises(ValueError) as cm:
_get_info_dataframe(bad_info_table_path, self.workspace_dir,
self.workspace_dir, self.workspace_dir, '')
expected_message = "is having ['wrong type']"
actual_message = str(cm.exception)
self.assertTrue(expected_message in actual_message, actual_message)
def test_wrong_buffer_in_info_csv(self):
"""HRA: exception raised when buffers are not number in info CSV."""
from natcap.invest.hra import _get_info_dataframe
# Test missing columns from info CSV
bad_info_table_path = os.path.join(self.workspace_dir,
'bad_criteria.csv')
_make_info_csv(bad_info_table_path,
workspace_dir=self.workspace_dir,
wrong_buffer_value=True)
with self.assertRaises(ValueError) as cm:
_get_info_dataframe(bad_info_table_path, self.workspace_dir,
self.workspace_dir, self.workspace_dir, '')
expected_message = "should be a number for stressors"
actual_message = str(cm.exception)
self.assertTrue(expected_message in actual_message, actual_message)
def test_missing_columns_from_info_csv(self):
"""HRA: exception raised when columns are missing from info CSV."""
from natcap.invest.hra import _get_info_dataframe
# Test missing columns from info CSV
bad_info_table_path = os.path.join(self.workspace_dir,
'bad_criteria.csv')
_make_info_csv(bad_info_table_path,
workspace_dir=self.workspace_dir,
missing_columns=True)
with self.assertRaises(ValueError) as cm:
_get_info_dataframe(bad_info_table_path, self.workspace_dir,
self.workspace_dir, self.workspace_dir, '')
expected_message = "'NAME', 'STRESSOR BUFFER (METERS)'"
actual_message = str(cm.exception)
self.assertTrue(expected_message in actual_message, actual_message)