def test_type_conversion(self):
submission_1 = {
"_id": 579827,
"geolocation": "-1.2625482 36.7924794 0.0 21.0",
"_bamboo_dataset_id": "",
"meta/instanceID": "uuid:2a8129f5-3091-44e1-a579-bed2b07a12cf",
"name": "Smith",
"formhub/uuid": "633ec390e024411ba5ce634db7807e62",
"_submission_time": "2013-07-03T08:25:30",
"age": "107",
"_uuid": "2a8129f5-3091-44e1-a579-bed2b07a12cf",
"when": "2013-07-03",
"amount": "250.0",
"_geolocation": [
"-1.2625482",
"36.7924794"
],
"_xform_id_string": "test_data_types",
"_userform_id": "larryweya_test_data_types",
"_status": "submitted_via_web",
"precisely": "2013-07-03T15:24:00.000+03",
"really": "15:24:00.000+03"
}
submission_2 = {
"_id": 579828,
"_submission_time": "2013-07-03T08:26:10",
"_uuid": "5b4752eb-e13c-483e-87cb-e67ca6bb61e5",
"_bamboo_dataset_id": "",
"_xform_id_string": "test_data_types",
"_userform_id": "larryweya_test_data_types",
"_status": "submitted_via_web",
"meta/instanceID": "uuid:5b4752eb-e13c-483e-87cb-e67ca6bb61e5",
"formhub/uuid": "633ec390e024411ba5ce634db7807e62",
"amount": "",
}
survey = create_survey_from_xls(viewer_fixture_path(
'test_data_types/test_data_types.xls'))
export_builder = ExportBuilder()
export_builder.set_survey(survey)
# format submission 1 for export
survey_name = survey.name
indices = {survey_name: 0}
data = dict_to_joined_export(submission_1, 1, indices, survey_name)
new_row = export_builder.pre_process_row(data[survey_name],
export_builder.sections[0])
self.assertIsInstance(new_row['age'], int)
self.assertIsInstance(new_row['when'], datetime.date)
self.assertIsInstance(new_row['amount'], float)
# check missing values dont break and empty values return blank strings
indices = {survey_name: 0}
data = dict_to_joined_export(submission_2, 1, indices, survey_name)
new_row = export_builder.pre_process_row(data[survey_name],
export_builder.sections[0])
self.assertIsInstance(new_row['amount'], basestring)
self.assertEqual(new_row['amount'], '')
def test_type_conversion(self):
submission_1 = {
"_id": 579827,
"geolocation": "-1.2625482 36.7924794 0.0 21.0",
"_bamboo_dataset_id": "",
"meta/instanceID": "uuid:2a8129f5-3091-44e1-a579-bed2b07a12cf",
"name": "Smith",
"formhub/uuid": "633ec390e024411ba5ce634db7807e62",
"_submission_time": "2013-07-03T08:25:30",
"age": "107",
"_uuid": "2a8129f5-3091-44e1-a579-bed2b07a12cf",
"when": "2013-07-03",
"amount": "250.0",
"_geolocation": [
"-1.2625482",
"36.7924794"
],
"_xform_id_string": "test_data_types",
"_userform_id": "larryweya_test_data_types",
"_status": "submitted_via_web",
"precisely": "2013-07-03T15:24:00.000+03",
"really": "15:24:00.000+03"
}
submission_2 = {
"_id": 579828,
"_submission_time": "2013-07-03T08:26:10",
"_uuid": "5b4752eb-e13c-483e-87cb-e67ca6bb61e5",
"_bamboo_dataset_id": "",
"_xform_id_string": "test_data_types",
"_userform_id": "larryweya_test_data_types",
"_status": "submitted_via_web",
"meta/instanceID": "uuid:5b4752eb-e13c-483e-87cb-e67ca6bb61e5",
"formhub/uuid": "633ec390e024411ba5ce634db7807e62",
"amount": "",
}
survey = create_survey_from_xls(viewer_fixture_path(
'test_data_types/test_data_types.xls'))
export_builder = ExportBuilder()
export_builder.set_survey(survey)
# format submission 1 for export
survey_name = survey.name
indices = {survey_name: 0}
data = dict_to_joined_export(submission_1, 1, indices, survey_name)
new_row = export_builder.pre_process_row(data[survey_name],
export_builder.sections[0])
self.assertIsInstance(new_row['age'], int)
self.assertIsInstance(new_row['when'], datetime.date)
self.assertIsInstance(new_row['amount'], float)
# check missing values dont break and empty values return blank strings
indices = {survey_name: 0}
data = dict_to_joined_export(submission_2, 1, indices, survey_name)
new_row = export_builder.pre_process_row(data[survey_name],
export_builder.sections[0])
self.assertIsInstance(new_row['amount'], basestring)
self.assertEqual(new_row['amount'], '')
def test_xls_convert_dates_before_1900(self):
survey = create_survey_from_xls(viewer_fixture_path("test_data_types/test_data_types.xls"))
export_builder = ExportBuilder()
export_builder.set_survey(survey)
data = [{"name": "Abe", "when": "1899-07-03"}]
# create export file
temp_xls_file = NamedTemporaryFile(suffix=".xlsx")
export_builder.to_xls_export(temp_xls_file.name, data)
temp_xls_file.close()
def test_xls_convert_dates_before_1900(self):
survey = create_survey_from_xls(
viewer_fixture_path('test_data_types/test_data_types.xls'))
export_builder = ExportBuilder()
export_builder.set_survey(survey)
data = [{
'name': 'Abe',
'when': '1899-07-03',
}]
# create export file
temp_xls_file = NamedTemporaryFile(suffix='.xlsx')
export_builder.to_xls_export(temp_xls_file.name, data)
temp_xls_file.close()
def test_xls_convert_dates_before_1900(self):
survey = create_survey_from_xls(viewer_fixture_path(
'test_data_types/test_data_types.xls'))
export_builder = ExportBuilder()
export_builder.set_survey(survey)
data = [
{
'name': 'Abe',
'when': '1899-07-03',
}
]
# create export file
temp_xls_file = NamedTemporaryFile(suffix='.xlsx')
export_builder.to_xls_export(temp_xls_file.name, data)
temp_xls_file.close()
def test_csv_http_response(self):
self._publish_transportation_form()
survey = self.surveys[0]
self._make_submission(
os.path.join(
self.this_directory, 'fixtures', 'transportation',
'instances', survey, survey + '.xml'),
forced_submission_time=self._submission_time)
response = self.client.get(reverse(
'csv_export',
kwargs={
'username': self.user.username,
'id_string': self.xform.id_string
}))
self.assertEqual(response.status_code, 200)
test_file_path = viewer_fixture_path('transportation.csv')
content = self._get_response_content(response)
with open(test_file_path, 'r') as test_file:
self.assertEqual(content, test_file.read())
