def error_counts(self, dataset, raise_on_error=True):
"""Returns the ids of the fields that contain errors and their number.
The dataset argument can be either a dataset resource structure
or a dataset id (that will be used to retrieve the associated
remote resource).
"""
errors_dict = {}
if not isinstance(dataset, dict) or 'object' not in dataset:
check_resource_type(dataset, DATASET_PATH,
message="A dataset id is needed.")
dataset_id = get_dataset_id(dataset)
dataset = check_resource(dataset_id, self.get_dataset,
raise_on_error=raise_on_error)
if not raise_on_error and dataset['error'] is not None:
dataset_id = None
else:
dataset_id = get_dataset_id(dataset)
if dataset_id:
errors = dataset.get('object', {}).get(
'status', {}).get('field_errors', {})
for field_id in errors:
errors_dict[field_id] = errors[field_id]['total']
return errors_dict
def error_counts(self, dataset, raise_on_error=True):
"""Returns the ids of the fields that contain errors and their number.
The dataset argument can be either a dataset resource structure
or a dataset id (that will be used to retrieve the associated
remote resource).
"""
errors_dict = {}
if not isinstance(dataset, dict) or not 'object' in dataset:
check_resource_type(dataset,
DATASET_PATH,
message="A dataset id is needed.")
dataset_id = get_dataset_id(dataset)
dataset = check_resource(dataset_id,
self.get_dataset,
raise_on_error=raise_on_error)
if not raise_on_error and dataset['error'] is not None:
dataset_id = None
else:
dataset_id = get_dataset_id(dataset)
if dataset_id:
errors = dataset.get('object', {}).get('status',
{}).get('field_errors', {})
for field_id in errors:
errors_dict[field_id] = errors[field_id]['total']
return errors_dict
def create_correlation(self, dataset, args=None, wait_time=3, retries=10):
"""Creates a correlation from a `dataset`.
"""
dataset_id = None
resource_type = get_resource_type(dataset)
if resource_type == DATASET_PATH:
dataset_id = get_dataset_id(dataset)
check_resource(dataset_id,
query_string=TINY_RESOURCE,
wait_time=wait_time,
retries=retries,
raise_on_error=True,
api=self)
else:
raise Exception("A dataset id is needed to create a"
" correlation. %s found." % resource_type)
create_args = {}
if args is not None:
create_args.update(args)
create_args.update({"dataset": dataset_id})
body = json.dumps(create_args)
return self._create(self.correlation_url, body)
def download_dataset(self, dataset, filename=None, retries=10):
"""Donwloads dataset contents to a csv file or file object
"""
check_resource_type(dataset, DATASET_PATH, message="A dataset id is needed.")
dataset_id = get_dataset_id(dataset)
if dataset_id:
return self._download("%s%s%s" % (self.url, dataset_id, DOWNLOAD_DIR), filename=filename, retries=retries)
def delete_dataset(self, dataset):
"""Deletes a dataset.
"""
check_resource_type(dataset, DATASET_PATH, message="A dataset id is needed.")
dataset_id = get_dataset_id(dataset)
if dataset_id:
return self._delete("%s%s" % (self.url, dataset_id))
def delete_dataset(self, dataset):
"""Deletes a dataset.
"""
check_resource_type(dataset, DATASET_PATH,
message="A dataset id is needed.")
dataset_id = get_dataset_id(dataset)
if dataset_id:
return self._delete("%s%s" % (self.url, dataset_id))
def update_dataset(self, dataset, changes):
"""Updates a dataset.
"""
check_resource_type(dataset, DATASET_PATH, message="A dataset id is needed.")
dataset_id = get_dataset_id(dataset)
if dataset_id:
body = json.dumps(changes)
return self._update("%s%s" % (self.url, dataset_id), body)
def update_dataset(self, dataset, changes):
"""Updates a dataset.
"""
check_resource_type(dataset, DATASET_PATH,
message="A dataset id is needed.")
dataset_id = get_dataset_id(dataset)
if dataset_id:
body = json.dumps(changes)
return self._update("%s%s" % (self.url, dataset_id), body)
def download_dataset(self, dataset, filename=None, retries=10):
"""Donwloads dataset contents to a csv file or file object
"""
check_resource_type(dataset, DATASET_PATH,
message="A dataset id is needed.")
dataset_id = get_dataset_id(dataset)
if dataset_id:
return self._download("%s%s%s" % (self.url, dataset_id,
DOWNLOAD_DIR),
filename=filename,
retries=retries)
def get_dataset(self, dataset, query_string=""):
"""Retrieves a dataset.
The dataset parameter should be a string containing the
dataset id or the dict returned by create_dataset.
As dataset is an evolving object that is processed
until it reaches the FINISHED or FAULTY state, the function will
return a dict that encloses the dataset values and state info
available at the time it is called.
"""
check_resource_type(dataset, DATASET_PATH, message="A dataset id is needed.")
dataset_id = get_dataset_id(dataset)
if dataset_id:
return self._get("%s%s" % (self.url, dataset_id), query_string=query_string)
def get_dataset(self, dataset, query_string=''):
"""Retrieves a dataset.
The dataset parameter should be a string containing the
dataset id or the dict returned by create_dataset.
As dataset is an evolving object that is processed
until it reaches the FINISHED or FAULTY state, the function will
return a dict that encloses the dataset values and state info
available at the time it is called.
"""
check_resource_type(dataset, DATASET_PATH,
message="A dataset id is needed.")
dataset_id = get_dataset_id(dataset)
if dataset_id:
return self._get("%s%s" % (self.url, dataset_id),
query_string=query_string)
def create_statistical_test(self, dataset, args=None, wait_time=3, retries=10):
"""Creates a statistical test from a `dataset`.
"""
dataset_id = None
resource_type = get_resource_type(dataset)
if resource_type == DATASET_PATH:
dataset_id = get_dataset_id(dataset)
check_resource(dataset_id,
query_string=TINY_RESOURCE,
wait_time=wait_time, retries=retries,
raise_on_error=True, api=self)
else:
raise Exception("A dataset id is needed to create a"
" statistical test. %s found." % resource_type)
create_args = {}
if args is not None:
create_args.update(args)
create_args.update({
"dataset": dataset_id})
body = json.dumps(create_args)
return self._create(self.statistical_test_url, body)
