def create(cls,
experiment,
sample,
file,
analysisId=None,
study=None,
analysisState="UNPUBLISHED",
info=None):
check_type(experiment, VariantCall)
check_state(
sample is not None and isinstance(sample, list)
and len(sample) > 0, "Atleast one sample must be defined")
check_state(
file is not None and isinstance(file, list) and len(file) > 0,
"Atleast one file must be defined")
for s in sample:
check_type(s, CompositeEntity)
for f in file:
check_type(f, File)
s = VariantCallAnalysis()
s.experiment = experiment
s.analysisId = analysisId
s.study = study
s.analysisState = analysisState
s.sample = sample
s.file = file
s.info = default_value(info, {})
return s
def new_func(*args, **kwargs):
count = 1 if is_self else 0
for a in inspected_args.keys():
if a not in exclude:
check_state(args[count] is not None,
"The argument '{}' must be non-null", a)
count += 1
return func(*args, **kwargs)
def _check_validator(cls):
available_fields = Validator._INTERNAL_DICT.keys()
undefined_set = set()
for d in datafields:
if d.name not in available_fields:
undefined_set.add(d.name)
num_undefined = len(undefined_set)
check_state(
num_undefined == 0,
"The {} datafields [{}] do not exist in the class definition for '{}'",
num_undefined, ",".join(undefined_set), Cls.__name__)
def validate(self, value):
if self.multiple:
self._validate_single(list, value)
if self.required:
check_state(
len(value) > 0,
"The required list datafield '{}' was supplied an empty array",
self.name)
if value is not None:
for t in self.types:
for item in value:
self._validate_single(t, item)
else:
for t in self.types:
self._validate_single(t, value)
def __init__(self, *datafields):
self.datafields = list(datafields)
check_type(self.datafields, list)
check_state(
len(self.datafields) > 0, "Must define atleast one datafield")
self.name_type_map = {}
for datafield in self.datafields:
check_type(datafield, DataField)
if datafield.name not in self.name_type_map:
self.name_type_map[datafield.name] = {}
for t in datafield.types:
t_name = t.__name__
if t_name in self.name_type_map[datafield.name]:
raise Exception(
"Collision: The datafield definition '{}' already exists as '{}' for the type '{}'"
.format(datafield,
self.name_type_map[datafield.name][t_name],
t_name))
self.name_type_map[datafield.name][t_name] = datafield
def create_song_error(cls, data):
"""
Creates a new song error object. Used to convert a json/dict server error response to a python object
:param dict data: input dictionary containing all the fields neccessary to create a song server error
:rtype: :class:`SongError <overture_song.model.SongError>`
"""
check_state(isinstance(data, dict), "input data must be of type dict")
check_state(SongError.is_song_error(data),
"The input data fields \n'{}'\n are not the same as the data fields in SongError \n'{}'\n",
data.keys(), SongError.get_field_names())
args = []
for f in SongError.get_field_names():
result = data[f]
if isinstance(result, list):
args.append(tuple(result))
else:
args.append(result)
out = SongError(*args)
return out
def _validate_single(self, t, value):
if self.required:
check_state(value is not None, "The datafield '{}' is required",
self.name)
if value is not None:
if self.required:
if t is str:
check_state(
value,
"The required string datafield '{}' was supplied an empty string ",
self.name)
check_state(
isinstance(value, t),
"The datafield '{}' is of '{}' type, but was supplied a value of type '{}' with value '{}'",
self.name, t, type(value), value)
def upload(config):
api = Api(config)
check_state(api.is_alive(), "The server '{}' is not running", config)
study_client = StudyClient(api)
if not study_client.has(config.study_id):
study_client.create(Study.create(config.study_id))
donor = Donor()
donor.studyId = config.study_id
donor.donorGender = "male"
donor.donorSubmitterId = "dsId1"
donor.set_info("randomDonorField", "someDonorValue")
specimen = Specimen()
specimen.specimenClass = "Tumour"
specimen.specimenSubmitterId = "sp_sub_1"
specimen.specimenType = "Normal - EBV immortalized"
specimen.set_info("randomSpecimenField", "someSpecimenValue")
sample = Sample()
sample.sampleSubmitterId = "ssId1"
sample.sampleType = "RNA"
sample.set_info("randomSample1Field", "someSample1Value")
# File 1
file1 = File()
file1.fileName = "example.bam"
file1.studyId = config.study_id
file1.fileAccess = "controlled"
file1.fileMd5sum = "73a90acaae2b1ccc0e969709665bc62f"
file1.fileSize = 1234561
file1.fileType = "BAM"
file1.set_info("randomFile1Field", "someFile1Value")
# File 2
file2 = File()
file2.fileName = "example.bam.bai"
file2.studyId = config.study_id
file2.fileAccess = "controlled"
file2.fileMd5sum = "67a97437c474cc1d95e0a1672b291b70"
file2.fileSize = 1234562
file2.fileType = "BAI"
file2.set_info("randomFile2Field", "someFile2Value")
# SequencingRead
sequencing_read_experiment = SequencingRead()
sequencing_read_experiment.aligned = True
sequencing_read_experiment.alignmentTool = "myAlignmentTool"
sequencing_read_experiment.pairedEnd = True
sequencing_read_experiment.insertSize = 0
sequencing_read_experiment.libraryStrategy = "WXS"
sequencing_read_experiment.referenceGenome = "GR37"
sequencing_read_experiment.set_info("randomSRField", "someSRValue")
builder = SimplePayloadBuilder(donor, specimen, sample, [file1, file2],
sequencing_read_experiment)
print("-----------------------Uploading payload-------------------------")
upload_response = api.upload(json_payload=builder.to_dict(),
is_async_validation=False)
print("upload_response: \n{}".format(upload_response))
sleep(4)
print("\n\n\n-------------------Check status----------------------------")
status_response = api.status(upload_response.uploadId)
print("status_response: \n{}".format(status_response))
sleep(4)
print("\n\n\n----------------------Saving-------------------------------")
save_response = api.save(status_response.uploadId,
ignore_analysis_id_collisions=True)
print("save_response: \n{}".format(save_response))
sleep(4)
source_dir = "./"
manifest_client = ManifestClient(api)
print("\n\n\n-----------------Creating manifest-------------------------")
manifest = manifest_client.create_manifest(source_dir,
save_response.analysisId)
print("manifest_file_contents: \n{}".format(manifest))
def __init__(self, *args, **kwargs):
Cls.__init__(self, *args, **kwargs)
check_state(Validator.SPECIAL_FIELD in Cls.__dict__,
"Decorator can only process dataclasses")
Validator._check_validator()
def check_is_alive(self):
check_state(
self.is_alive(),
"The SONG server may not be running on '{}'".format(
self.config.server_url))
