def delete_batch_prediction(self, batch_prediction):
"""Deletes a batch prediction.
"""
check_resource_type(batch_prediction, BATCH_PREDICTION_PATH,
message="A batch prediction id is needed.")
batch_prediction_id = get_batch_prediction_id(batch_prediction)
if batch_prediction_id:
return self._delete("%s%s" % (self.url, batch_prediction_id))
def delete_batch_prediction(self, batch_prediction):
"""Deletes a batch prediction.
"""
check_resource_type(batch_prediction, BATCH_PREDICTION_PATH,
message="A batch prediction id is needed.")
batch_prediction_id = get_batch_prediction_id(batch_prediction)
if batch_prediction_id:
return self._delete("%s%s" % (self.url, batch_prediction_id))
def update_batch_prediction(self, batch_prediction, changes):
"""Updates a batch prediction.
"""
check_resource_type(batch_prediction, BATCH_PREDICTION_PATH,
message="A batch prediction id is needed.")
batch_prediction_id = get_batch_prediction_id(batch_prediction)
if batch_prediction_id:
body = json.dumps(changes)
return self._update("%s%s" % (self.url, batch_prediction_id), body)
def update_batch_prediction(self, batch_prediction, changes):
"""Updates a batch prediction.
"""
check_resource_type(batch_prediction, BATCH_PREDICTION_PATH,
message="A batch prediction id is needed.")
batch_prediction_id = get_batch_prediction_id(batch_prediction)
if batch_prediction_id:
body = json.dumps(changes)
return self._update("%s%s" % (self.url, batch_prediction_id), body)
def source_from_batch_prediction(self, batch_prediction, args=None):
"""Creates a source from a batch prediction using the download url
"""
check_resource_type(batch_prediction, BATCH_PREDICTION_PATH,
message="A batch prediction id is needed.")
batch_prediction_id = get_batch_prediction_id(batch_prediction)
if batch_prediction_id:
download_url = "%s%s%s%s" % (self.url, batch_prediction_id,
DOWNLOAD_DIR, self.auth)
return self._create_remote_source(download_url, args=args)
def source_from_batch_prediction(self, batch_prediction, args=None):
"""Creates a source from a batch prediction using the download url
"""
check_resource_type(batch_prediction, BATCH_PREDICTION_PATH,
message="A batch prediction id is needed.")
batch_prediction_id = get_batch_prediction_id(batch_prediction)
if batch_prediction_id:
download_url = "%s%s%s%s" % (self.url, batch_prediction_id,
DOWNLOAD_DIR, self.auth)
return self._create_remote_source(download_url, args=args)
def download_batch_prediction(self, batch_prediction, filename=None):
"""Retrieves the batch predictions file.
Downloads predictions, that are stored in a remote CSV file. If
a path is given in filename, the contents of the file are downloaded
and saved locally. A file-like object is returned otherwise.
"""
check_resource_type(batch_prediction, BATCH_PREDICTION_PATH,
message="A batch prediction id is needed.")
batch_prediction_id = get_batch_prediction_id(batch_prediction)
if batch_prediction_id:
return self._download("%s%s%s" % (self.url, batch_prediction_id,
DOWNLOAD_DIR), filename=filename)
def download_batch_prediction(self, batch_prediction, filename=None):
"""Retrieves the batch predictions file.
Downloads predictions, that are stored in a remote CSV file. If
a path is given in filename, the contents of the file are downloaded
and saved locally. A file-like object is returned otherwise.
"""
check_resource_type(batch_prediction, BATCH_PREDICTION_PATH,
message="A batch prediction id is needed.")
batch_prediction_id = get_batch_prediction_id(batch_prediction)
if batch_prediction_id:
return self._download("%s%s%s" % (self.url, batch_prediction_id,
DOWNLOAD_DIR), filename=filename)
def get_batch_prediction(self, batch_prediction):
"""Retrieves a batch prediction.
The batch_prediction parameter should be a string containing the
batch_prediction id or the dict returned by create_batch_prediction.
As batch_prediction is an evolving object that is processed
until it reaches the FINISHED or FAULTY state, the function will
return a dict that encloses the batch_prediction values and state
info available at the time it is called.
"""
check_resource_type(batch_prediction, BATCH_PREDICTION_PATH,
message="A batch prediction id is needed.")
batch_prediction_id = get_batch_prediction_id(batch_prediction)
if batch_prediction_id:
return self._get("%s%s" % (self.url, batch_prediction_id))
def get_batch_prediction(self, batch_prediction):
"""Retrieves a batch prediction.
The batch_prediction parameter should be a string containing the
batch_prediction id or the dict returned by create_batch_prediction.
As batch_prediction is an evolving object that is processed
until it reaches the FINISHED or FAULTY state, the function will
return a dict that encloses the batch_prediction values and state
info available at the time it is called.
"""
check_resource_type(batch_prediction, BATCH_PREDICTION_PATH,
message="A batch prediction id is needed.")
batch_prediction_id = get_batch_prediction_id(batch_prediction)
if batch_prediction_id:
return self._get("%s%s" % (self.url, batch_prediction_id))
