def retrieve_task(task, data_object_id):
"""
Fetch a Dicom Object from the dicom location using the retrieve_type GET or MOVE
"""
do = DataObject.query.filter_by(id=data_object_id).first()
dicom_connector = DicomConnector(
host=do.dataset.from_dicom_location.host,
port=do.dataset.from_dicom_location.port,
ae_title=do.dataset.from_dicom_location.ae_title,
)
dicom_verify = dicom_connector.verify()
if not dicom_verify:
logger.error("Unable to connect to Dicom Location: {0} {1} {2}".format(
do.dataset.from_dicom_location.host,
do.dataset.from_dicom_location.port,
do.dataset.from_dicom_location.ae_title,
))
return
dicom_path = dicom_connector.download_series(do.series_instance_uid)
do.is_fetched = True
do.path = dicom_path
db.session.commit()
def move_task(task, endpoint, seriesUIDs, host, port, ae_title):
"""
Background task that triggers the Dicom MOVE operation at the given endpoint
for the given seriesUIDs
"""
# For each series UID supplied, fetch the image series and run the algorithm
total = len(seriesUIDs)
count = 0
dicom_connector = DicomConnector(host=host, port=port, ae_title=ae_title)
task.update_state(
state="PROGRESS",
meta={
"current": count,
"total": total,
"status": "Verifying dicom location"
},
)
dicom_verify = dicom_connector.verify()
if dicom_verify == None:
return {
"current": 100,
"total": 100,
"status": "Unable to connect to dicom location",
}
for suid in seriesUIDs:
task.update_state(
state="PROGRESS",
meta={
"current": count,
"total": total,
"status": "Moving series for UID: {0}".format(suid),
},
)
logger.info("Moving Series with UID: {0}".format(suid))
dicom_connector.move_series(suid)
count = count + 1
task.update_state(
state="SUCCESS",
meta={
"current": total,
"total": total,
"status": "Move Complete"
},
)
def fetch_status():
celery_running = False
if celery.control.inspect().active():
celery_running = True
status_context = {"celery": celery_running}
status_context["algorithms"] = []
for a in app.algorithms:
algorithm = app.algorithms[a]
status_context["algorithms"].append({
"name":
algorithm.name,
"default_settings":
algorithm.default_settings
})
dicom_connector = DicomConnector(port=app.dicom_listener_port,
ae_title=app.dicom_listener_aetitle)
dicom_listening = False
if dicom_connector.verify():
dicom_listening = True
status_context["dicom_listener"] = {
"port": app.dicom_listener_port,
"aetitle": app.dicom_listener_aetitle,
"listening": dicom_listening,
}
status_context["ram_usage"] = psutil.virtual_memory()._asdict()
status_context["disk_usage"] = psutil.disk_usage("/")._asdict()
status_context["cpu_usage"] = psutil.cpu_percent()
status_context["applications"] = []
for ak in APIKey.query.all():
status_context["applications"].append({"name": ak.name, "key": ak.key})
return jsonify(status_context)
def post(self):
key = request.headers["API_KEY"]
args = self.parser.parse_args()
dataset_id = args["dataset"]
# Get the dataset to which this data object should be added
ds = Dataset.query.filter_by(owner_key=key, id=dataset_id).first()
if not ds:
return {"Error": "Dataset not found"}, 404
# Get the parent dataset if one was given
parent = None
if args["parent"]:
parent = DataObject.query.filter_by(dataset_id=ds.id,
id=args["parent"]).first()
if not parent:
return {"Error": "Parent Data Object not found"}, 404
meta_data = None
if args["meta_data"]:
meta_data = json.loads(args["meta_data"])
# Create the DataObject
do = DataObject(
dataset=ds,
is_input=True,
type=args["type"],
series_instance_uid=args["seriesUID"],
meta_data=meta_data,
parent=parent,
)
db.session.add(do)
db.session.commit()
if args["type"] == "DICOM":
dicom_fetch = args["dicom_retrieve"]
if not dicom_fetch:
return (
{
"message": {
"dicom_retrieve":
"Set GET, MOVE or SEND to be able to retrieve Dicom objects."
}
},
400,
)
if not args["seriesUID"]:
return (
{
"message": {
"seriesUID":
"SeriesUID is required to be able to retrieve DICOM objects"
}
},
400,
)
if dicom_fetch == "MOVE":
if not ds.from_dicom_location:
return (
{
"message": {
"from_dicom_location":
"Dataset From Dicom Location not set, so unable to MOVE DICOM objects"
}
},
400,
)
# Fetch Dicom data using MOVE
# Check whether or not we are listening for for Dicom MOVE
listening_connector = DicomConnector(
host="127.0.0.1",
port=app.dicom_listener_port,
ae_title=app.dicom_listener_aetitle,
)
if not listening_connector.verify():
# Verify Dicom Location is listening
timeout_seconds = 20
time_waited = 0
# We are not listening, wait for 20 seconds and abort if still not listening
while not listening_connector.verify():
logger.debug(
"Not listening for MOVE, sleeping for 1 second and will try again"
)
time.sleep(1)
time_waited += 1
if time_waited >= timeout_seconds:
msg = "Listener for MOVE timeout on port: {0}".format(
ds.from_dicom_location.move_port)
logger.error(msg)
return {
"message": {
"from_dicom_location": msg
}
}, 400
logger.info("Listening for MOVE OK")
# Trigger MOVE
logger.info(
"Triggering MOVE at {0} for series UID: {1}",
app.dicom_listener_aetitle,
do.series_instance_uid,
)
dicom_connector = DicomConnector(
host=ds.from_dicom_location.host,
port=ds.from_dicom_location.port,
ae_title=ds.from_dicom_location.ae_title,
)
dicom_verify = dicom_connector.verify()
if dicom_verify:
dicom_connector.move_series(
do.series_instance_uid,
move_aet=app.dicom_listener_aetitle)
else:
msg = "Unable to connect to Dicom Location: {0} {1} {2}".format(
ds.from_dicom_location.host,
ds.from_dicom_location.port,
ds.from_dicom_location.ae_title,
)
logger.error(msg)
return {"message": {"from_dicom_location": msg}}, 400
elif dicom_fetch == "GET":
if not ds.from_dicom_location:
return (
{
"message": {
"from_dicom_location":
"Dataset From Dicom Location not set, so unable to GET DICOM objects"
}
},
400,
)
# Fetch Dicom data using GET
task = retrieve_task.apply_async([do.id])
# If dicom_fetch is SEND we don't do anything here, just wait for the client
# to send to our Dicom Listener.
elif args["type"] == "FILE":
if not args["file_name"]:
return {"message": {"file_name": "Provide the file name"}}, 400
if not args["file_data"]:
return {"message": {"file_data": "Provide the file data"}}, 400
# Save the file
file_path = os.path.join(tempfile.mkdtemp(), args["file_name"])
args["file_data"].save(file_path)
do.is_fetched = True
do.path = file_path
db.session.add(do)
db.session.commit()
return do
def run_task(task, algorithm_name, config, dataset_id):
task_id = task.request.id
start = time.time()
# Commit to refresh session
db.session.commit()
algorithm = app.algorithms[algorithm_name]
if not config:
config = algorithm.default_settings
ds = Dataset.query.filter_by(id=dataset_id).first()
input_objects = ds.input_data_objects
logger.info("Will run algorithm: " + algorithm_name)
logger.info("Using settings: " + str(config))
logger.info("Number of data objects in dataset: " +
str(len(input_objects)))
state_details = {
"current": 0,
"total": len(input_objects),
"status": "Running Algorithm: {0}".format(algorithm_name),
}
task.update_state(state="RUNNING", meta=state_details)
if config is None:
output_data_objects = algorithm.function(input_objects,
tempfile.mkdtemp())
else:
output_data_objects = algorithm.function(input_objects,
tempfile.mkdtemp(), config)
if not output_data_objects:
logger.warning(
"Algorithm ({0}) did not return any output objects".format(
algorithm_name))
# Save the data objects
for do in output_data_objects:
do.dataset_id = ds.id
db.session.add(do)
db.session.commit()
if do.type == "DICOM":
if ds.to_dicom_location:
logger.info("Sending to Dicom To Location")
dicom_connector = DicomConnector(
host=do.dataset.to_dicom_location.host,
port=do.dataset.to_dicom_location.port,
ae_title=do.dataset.to_dicom_location.ae_title,
)
dicom_verify = dicom_connector.verify()
if not dicom_verify:
logger.error(
"Unable to connect to Dicom Location: {0} {1} {2}".
format(
do.dataset.to_dicom_location.host,
do.dataset.to_dicom_location.port,
do.dataset.to_dicom_location.ae_title,
))
continue
send_result = dicom_connector.send_dcm(do.path)
if send_result:
do.is_sent = True
db.session.add(do)
db.session.commit()
else:
logger.warning(
"DICOM Data Object output but not Dicom To location defined in Dataset"
)
end = time.time()
time_taken = end - start
logger.info("Dataset processing complete, took: " + str(time_taken))
logger.info("Number of data objects generated: " +
str(len(output_data_objects)))
state_details = {
"current": len(input_objects),
"total": len(input_objects),
"status": "Running Algorithm Complete: {0}".format(algorithm_name),
}
task.update_state(state="COMPLETE", meta=state_details)