def test_parse_dict_list_post(self):
"""Tests parsing a list of dictionaries."""
results = [{'name': 'value'}, {'name2': 'value2'}]
request = MagicMock(Request)
request.data = QueryDict('', mutable=True)
request.data.update({
'test': results,
})
self.assertItemsEqual(rest_util.parse_dict_list(request, 'test'),
results)
def post(self, request):
"""Submit command message to re-queue jobs that fit the given filter criteria
:param request: the HTTP GET request
:type request: :class:`rest_framework.request.Request`
:returns: the HTTP response to send back to the user
"""
started = rest_util.parse_timestamp(request, 'started', required=False)
ended = rest_util.parse_timestamp(request, 'ended', required=False)
rest_util.check_time_range(started, ended)
error_categories = rest_util.parse_string_list(request, 'error_categories', required=False)
error_ids = rest_util.parse_int_list(request, 'error_ids', required=False)
job_ids = rest_util.parse_int_list(request, 'job_ids', required=False)
job_status = rest_util.parse_string(request, 'status', required=False)
job_type_ids = rest_util.parse_int_list(request, 'job_type_ids', required=False)
priority = rest_util.parse_int(request, 'priority', required=False)
job_type_names = rest_util.parse_string_list(request, 'job_type_names', required=False)
batch_ids = rest_util.parse_int_list(request, 'batch_ids', required=False)
recipe_ids = rest_util.parse_int_list(request, 'recipe_ids', required=False)
is_superseded = rest_util.parse_bool(request, 'is_superseded', required=False)
job_types = rest_util.parse_dict_list(request, 'job_types', required=False)
for jt in job_types:
if 'name' not in jt or 'version' not in jt:
raise BadParameter('Job types argument invalid: %s' % job_types)
existing_job_type = JobType.objects.filter(name=jt['name'], version=jt['version']).first()
if not existing_job_type:
raise BadParameter(
'Job Type with name: %s and version: %s does not exist' % (jt['name'], jt['version']))
job_type_ids.append(existing_job_type.id)
# Create and send message
msg = create_requeue_jobs_bulk_message(started=started, ended=ended, error_categories=error_categories,
error_ids=error_ids, job_ids=job_ids, job_type_ids=job_type_ids,
priority=priority, status=job_status, job_type_names=job_type_names,
batch_ids=batch_ids, recipe_ids=recipe_ids, is_superseded=is_superseded)
CommandMessageManager().send_messages([msg])
return Response(status=status.HTTP_202_ACCEPTED)
def post_v6(self, request, dataset_id):
""" Adds a datsetmember to the dataset
:param request: the HTTP request
:type request: :class:`rest_framework.request.Request`
:param dataset_id: The id of the dataset
:type dataset_id: int encoded as a str
:rtype: :class:`rest_framework.response.Response`
:returns: the HTTP response to send back to the user
"""
template = rest_util.parse_dict(request,
'data_template',
required=False)
dry_run = rest_util.parse_bool(request, 'dry_run', default_value=False)
#file filters
data_started = rest_util.parse_timestamp(request,
'data_started',
required=False)
data_ended = rest_util.parse_timestamp(request,
'data_ended',
required=False)
rest_util.check_time_range(data_started, data_ended)
created_started = rest_util.parse_timestamp(request,
'created_started',
required=False)
created_ended = rest_util.parse_timestamp(request,
'created_ended',
required=False)
rest_util.check_time_range(created_started, created_ended)
source_started = rest_util.parse_timestamp(request,
'source_started',
required=False)
source_ended = rest_util.parse_timestamp(request,
'source_ended',
required=False)
rest_util.check_time_range(source_started, source_ended)
source_sensor_classes = rest_util.parse_string_list(
request, 'source_sensor_class', required=False)
source_sensors = rest_util.parse_string_list(request,
'source_sensor',
required=False)
source_collections = rest_util.parse_string_list(request,
'source_collection',
required=False)
source_tasks = rest_util.parse_string_list(request,
'source_task',
required=False)
mod_started = rest_util.parse_timestamp(request,
'modified_started',
required=False)
mod_ended = rest_util.parse_timestamp(request,
'modified_ended',
required=False)
rest_util.check_time_range(mod_started, mod_ended)
job_type_ids = rest_util.parse_int_list(request,
'job_type_id',
required=False)
job_type_names = rest_util.parse_string_list(request,
'job_type_name',
required=False)
job_ids = rest_util.parse_int_list(request, 'job_id', required=False)
file_names = rest_util.parse_string_list(request,
'file_name',
required=False)
job_outputs = rest_util.parse_string_list(request,
'job_output',
required=False)
recipe_ids = rest_util.parse_int_list(request,
'recipe_id',
required=False)
recipe_type_ids = rest_util.parse_int_list(request,
'recipe_type_id',
required=False)
recipe_nodes = rest_util.parse_string_list(request,
'recipe_node',
required=False)
batch_ids = rest_util.parse_int_list(request,
'batch_id',
required=False)
order = rest_util.parse_string_list(request, 'order', required=False)
data = rest_util.parse_dict_list(request, 'data', required=False)
data_list = []
try:
if data:
for d in data:
data = DataV6(data=d, do_validate=True).get_data()
data_list.append(data)
else:
data_list = DataSetMember.objects.build_data_list(
template=template,
data_started=data_started,
data_ended=data_ended,
created_started=created_started,
created_ended=created_ended,
source_started=source_started,
source_ended=source_ended,
source_sensor_classes=source_sensor_classes,
source_sensors=source_sensors,
source_collections=source_collections,
source_tasks=source_tasks,
mod_started=mod_started,
mod_ended=mod_ended,
job_type_ids=job_type_ids,
job_type_names=job_type_names,
job_ids=job_ids,
file_names=file_names,
job_outputs=job_outputs,
recipe_ids=recipe_ids,
recipe_type_ids=recipe_type_ids,
recipe_nodes=recipe_nodes,
batch_ids=batch_ids,
order=order)
except InvalidData as ex:
message = 'Data is invalid'
logger.exception(message)
raise BadParameter('%s: %s' % (message, unicode(ex)))
if not data_list:
resp_dict = {
'No Results':
'No files found from filters and/or no data provided'
}
return Response(resp_dict)
try:
dataset = DataSet.objects.get(pk=dataset_id)
except DataSet.DoesNotExist:
raise Http404
validation = DataSetMember.objects.validate_data_list(
dataset_def=dataset.get_definition(), data_list=data_list)
members = []
if validation.is_valid and not dry_run:
members = DataSetMember.objects.create_dataset_members(
dataset=dataset, data_list=data_list)
serializer = DataSetMemberSerializerV6(members, many=True)
return Response(serializer.data, status=status.HTTP_201_CREATED)
elif not validation.is_valid:
raise BadParameter('%s: %s' %
('Error(s) validating data against dataset',
[e.to_dict() for e in validation.errors]))
resp_dict = []
for dl in data_list:
resp_dict.append(convert_data_to_v6_json(dl).get_dict())
return Response(resp_dict)
def create_all_v6(self, request):
"""Creates or edits a dataset - including the dataset members - and returns a link to the detail URL"""
title = rest_util.parse_string(request, 'title', required=False)
description = rest_util.parse_string(request,
'description',
required=False)
definition = rest_util.parse_dict(request, 'definition', required=True)
template = rest_util.parse_dict(request,
'data_template',
required=False)
dry_run = rest_util.parse_bool(request, 'dry_run', default_value=False)
# file filters
data_started = rest_util.parse_timestamp(request,
'data_started',
required=False)
data_ended = rest_util.parse_timestamp(request,
'data_ended',
required=False)
rest_util.check_time_range(data_started, data_ended)
source_started = rest_util.parse_timestamp(request,
'source_started',
required=False)
source_ended = rest_util.parse_timestamp(request,
'source_ended',
required=False)
rest_util.check_time_range(source_started, source_ended)
source_sensor_classes = rest_util.parse_string_list(
request, 'source_sensor_class', required=False)
source_sensors = rest_util.parse_string_list(request,
'source_sensor',
required=False)
source_collections = rest_util.parse_string_list(request,
'source_collection',
required=False)
source_tasks = rest_util.parse_string_list(request,
'source_task',
required=False)
mod_started = rest_util.parse_timestamp(request,
'modified_started',
required=False)
mod_ended = rest_util.parse_timestamp(request,
'modified_ended',
required=False)
rest_util.check_time_range(mod_started, mod_ended)
job_type_ids = rest_util.parse_int_list(request,
'job_type_id',
required=False)
job_type_names = rest_util.parse_string_list(request,
'job_type_name',
required=False)
job_ids = rest_util.parse_int_list(request, 'job_id', required=False)
file_names = rest_util.parse_string_list(request,
'file_name',
required=False)
job_outputs = rest_util.parse_string_list(request,
'job_output',
required=False)
recipe_ids = rest_util.parse_int_list(request,
'recipe_id',
required=False)
recipe_type_ids = rest_util.parse_int_list(request,
'recipe_type_id',
required=False)
recipe_nodes = rest_util.parse_string_list(request,
'recipe_node',
required=False)
batch_ids = rest_util.parse_int_list(request,
'batch_id',
required=False)
order = rest_util.parse_string_list(request, 'order', required=False)
data = rest_util.parse_dict_list(request, 'data', required=False)
data_list = []
# validate the definition & create the dataset
try:
dataset_def = DataSetDefinitionV6(
definition=definition, do_validate=True).get_definition()
except InvalidDataSetDefinition as ex:
message = 'DataSet definition is invalid'
logger.exception(message)
raise BadParameter('%s: %s' % (message, unicode(ex)))
try:
dataset = DataSet.objects.create_dataset_v6(
dataset_def, title=title, description=description)
except Exception as ex:
message = 'Unable to create new dataset'
logger.exception(message)
raise BadParameter('%s: %s' % (message, unicode(ex)))
try:
dataset = DataSet.objects.get_details_v6(dataset.id)
except DataSet.DoesNotExist:
raise Http404
if not data and not template:
url = reverse('dataset_details_view',
args=[dataset.id],
request=request)
serializer = DataSetDetailsSerializerV6(dataset)
return Response(serializer.data,
status=status.HTTP_201_CREATED,
headers=dict(location=url))
# Try and find the data
if data:
try:
for d in data:
data = DataV6(data=d, do_validate=True).get_data()
data_list.append(data)
except InvalidData as ex:
message = 'Data is invalid'
logger.exception(message)
raise BadParameter('%s: %s' % (message, unicode(ex)))
elif template:
try:
data_list = DataSetMember.objects.build_data_list(
template=template,
data_started=data_started,
data_ended=data_ended,
source_started=source_started,
source_ended=source_ended,
source_sensor_classes=source_sensor_classes,
source_sensors=source_sensors,
source_collections=source_collections,
source_tasks=source_tasks,
mod_started=mod_started,
mod_ended=mod_ended,
job_type_ids=job_type_ids,
job_type_names=job_type_names,
job_ids=job_ids,
file_names=file_names,
job_outputs=job_outputs,
recipe_ids=recipe_ids,
recipe_type_ids=recipe_type_ids,
recipe_nodes=recipe_nodes,
batch_ids=batch_ids,
order=order)
except InvalidData as ex:
message = 'Data is invalid'
logger.exception(message)
raise BadParameter('%s: %s' % (message, unicode(ex)))
if not data_list:
resp_dict = {
'No Results':
'No files found from filters and/or no data provided'
}
return Response(resp_dict)
validation = DataSetMember.objects.validate_data_list(
dataset_def=dataset_def, data_list=data_list)
members = []
if validation.is_valid and not dry_run:
members = DataSetMember.objects.create_dataset_members(
dataset=dataset, data_list=data_list)
dataset = DataSet.objects.get(id=dataset.id)
serializer = DataSetDetailsSerializerV6(dataset)
url = reverse('dataset_details_view',
args=[dataset.id],
request=request)
return Response(serializer.data,
status=status.HTTP_201_CREATED,
headers=dict(location=url))
elif not validation.is_valid:
raise BadParameter('%s: %s' %
('Error(s) validating data against dataset',
[e.to_dict() for e in validation.errors]))
resp_dict = []
for dl in data_list:
resp_dict.append(convert_data_to_v6_json(dl).get_dict())
return Response(resp_dict)
def test_parse_dict_list_optional(self):
"""Tests parsing an optional dict list with no default value."""
request = MagicMock(Request)
request.data = QueryDict('', mutable=True)
self.assertEqual(
rest_util.parse_dict_list(request, 'test', required=False), [])
