seq_set.format_doc = "url"
seq_set.seq_model = "a machine"
seq_set.sequence_type = "nucleotide"
seq_set.size = 3000
seq_set.study = "prediabetes"
print("Creating a temp file for example/testing purposes.")
temp_file = tempfile.NamedTemporaryFile(delete=False).name
print("Local file: %s" % temp_file)
seq_set.local_file = temp_file
seq_set.links = { "sequenced_from": [ "610a4911a5ca67de12cdc1e4b4014133" ] }
seq_set.tags = [ "16s_raw_seq_set", "ihmp" ]
seq_set.add_tag("another")
seq_set.add_tag("and_another")
print(seq_set.to_json(indent=2))
if seq_set.is_valid():
print("Valid!")
success = seq_set.save()
if success:
seq_set_id = seq_set.id
print("Successfully saved prep. ID: %s" % seq_set_id)
seq_set2 = SixteenSRawSeqSet.load(seq_set_id)
seq_set.format_doc = "url"
seq_set.seq_model = "a machine"
seq_set.sequence_type = "nucleotide"
seq_set.size = 3000
seq_set.study = "prediabetes"
print("Creating a temp file for example/testing purposes.")
temp_file = tempfile.NamedTemporaryFile(delete=False).name
print("Local file: %s" % temp_file)
seq_set.local_file = temp_file
seq_set.links = { "sequenced_from": [ "610a4911a5ca67de12cdc1e4b4014133" ] }
seq_set.tags = [ "16s_raw_seq_set", "ihmp" ]
seq_set.add_tag("another")
seq_set.add_tag("and_another")
print(seq_set.to_json(indent=2))
if seq_set.is_valid():
print("Valid!")
success = seq_set.save()
if success:
seq_set_id = seq_set.id
print("Succesfully saved prep. ID: %s" % seq_set_id)
seq_set2 = SixteenSRawSeqSet.load(seq_set_id)
