def setUp(self):
model_run = ModelRun()
model_run.name = "Model Run"
model_run.user_id = 10
output_var = OutputVariable()
output_var.name = "gpp_gb"
output_var.description = "Gridbox gross primary productivity"
model_run_service = MagicMock()
model_run_service.get_model_by_id = MagicMock(return_value=model_run)
model_run_service.get_output_variable_by_id = MagicMock(return_value=output_var)
self.download_helper = NetcdfDatasetDownloadHelper(model_run_service)
self.user = User()
self.user.name = 'User Name'
self.user.id = 10
def parse(self, file_path):
"""
Run the parser on the output variables file and return a list of OutputVariables
:param file_path: path of output-variables.html
:return: list of OutputVariables
"""
log.info("Parsing %s" % file_path)
tree = html.parse(file_path)
output_variables = []
output_table_rows = tree.xpath(
'//div[@id="variables-that-have-a-single-value-at-each-land-gridpoint"]/table/tbody/tr[@class="row-even"] '
'| //div[@id="variables-that-have-a-single-value-at-each-land-gridpoint"]/table/tbody/tr[@class="row-odd"]'
'| //div[@id="variables-that-have-a-single-value-at-each-gridpoint-land-and-sea"]/table/tbody/tr[@class="row-even"] '
'| //div[@id="variables-that-have-a-single-value-at-each-gridpoint-land-and-sea"]/table/tbody/tr[@class="row-odd"]')
for output_row in output_table_rows:
output_variable = OutputVariable()
name = str(output_row.xpath('td/tt/span[@class="pre"]/text()')[0])
if name.lower() in self._VARIABLES_THAT_SHOULD_BE_USED:
output_variable.name = name
# Need to reconstruct the description because of <sup> tags
desc_texts = output_row.xpath('td[2]/text() | td[2]/p[1]/text()')
desc_tags = output_row.xpath('td[2]/sup/text() | td[2]/p[1]/sup/text() | td[2]/tt/span/text() '
'| td[2]/a/tt/span/text()')
output_variable.description = unicode(desc_texts[0])
for i in range(len(desc_tags)):
output_variable.description += desc_tags[i]
output_variable.description += desc_texts[i+1]
output_variable.depends_on_nsmax = output_variable.name in constants.DEPENDS_ON_NSMAX
output_variables.append(output_variable)
if (len(output_variables) != len(self._VARIABLES_THAT_SHOULD_BE_USED)):
log.error("'Output variables' length, %s, if different to 'variables to use' length, %s "
% (len(output_variables), len(self._VARIABLES_THAT_SHOULD_BE_USED)))
exit(-1)
return output_variables