def process_new_task(self,
images,
name=None,
options=[],
progress_callback=None):
"""
Sends a set of images (and optional GCP file) via the API
to start processing.
:param images: list of path images
:param name: name of the task
:param options: options to be used for processing ([{'name': optionName, 'value': optionValue}, ...])
:param progress_callback: optional callback invoked during the upload images process to be used to report status.
:returns UUID of the newly created task
"""
if len(images) < 2:
raise exceptions.NodeServerError("Need at least 2 images")
api_client = self.api_client()
opts = self.options_list_to_dict(options)
task = api_client.create_task(images, opts, name, progress_callback)
return task.uuid
def process_new_task(self,
images,
name=None,
options=[],
progress_callback=None):
"""
Sends a set of images (and optional GCP file) via the API
to start processing.
:param images: list of path images
:param name: name of the task
:param options: options to be used for processing ([{'name': optionName, 'value': optionValue}, ...])
:param progress_callback: optional callback invoked during the upload images process to be used to report status.
:returns UUID of the newly created task
"""
if len(images) < 2:
raise exceptions.NodeServerError("Need at least 2 images")
api_client = self.api_client()
opts = self.options_list_to_dict(options)
if not settings.TESTING:
task = api_client.create_task(images, opts, name,
progress_callback)
else:
# The create_task function uses multi-threaded parallel uploads
# but Django tests cannot cope with DB updates from different threads
# (and progress_callback often updates the DB). So during testing
# we use the fallback function equivalent which is single-threaded
task = api_client.create_task_fallback(images, opts, name,
progress_callback)
return task.uuid