def post_jobs():
"""
Create a job to create preferences/predictions for a custom sequence using the specified model(model_name).
request['sequence_id'] str: uuid of the custom sequence to process
request['job_type'] str: see config.DataType properties for values
request['model_name'] str: name of the model to use
:return: json response with id of the job
"""
required_prop_names = ["sequence_id", "job_type", "model_name"]
(sequence_id, job_type,
model_name) = get_required_json_props(request, required_prop_names)
try:
seq = SequenceList(sequence_id)
seq.load(get_db())
except KeyError as ex:
raise ClientException("Unable to find sequence. It may have purged.",
ErrorType.SEQUENCE_NOT_FOUND,
error_data=sequence_id)
job = CustomJob.find_existing_job(get_db(), job_type, sequence_id,
model_name)
status_code = None
if not job:
status_code = None
job = CustomJob.create_job(get_db(), job_type, sequence_id, model_name)
return make_ok_json_response({'id': job.uuid}, status_code)
def test_sequence_too_big(self):
with self.assertRaises(ClientException) as cm:
seq_list = SequenceList('1234')
seq_list.content = make_too_big()
seq_list.title = 'Too big list'
seq_list.insert(db=FakeDB())
self.assertEqual(ErrorType.UPLOADED_DATA_TOO_BIG,
cm.exception.error_type)
self.assertEqual(400, cm.exception.status_code)
def get_custom_sequences_data(sequence_id):
"""
Get base64 encoded contents and other properties of a custom sequence(DNA).
:param sequence_id: str: uuid associated with a particular sequence
:return: json response
"""
seq = SequenceList(sequence_id)
seq.load(get_db())
return make_json_response({
"id": seq.seq_uuid,
"data": base64.b64encode(seq.content),
"created": seq.created
})
def test_sequence_good_size(self):
seq_list = SequenceList('1234')
seq_list.content = "myseq>\nAACCGGTTAACCGTTTTTAACCTTGGG"
seq_list.title = 'Good list'
seq_list.insert(db=FakeDB())
