def delete_source(self, source): """Deletes a remote source permanently. """ check_resource_type(source, SOURCE_PATH, message="A source id is needed.") source_id = get_source_id(source) if source_id: return self._delete("%s%s" % (self.url, source_id))
def update_source(self, source, changes): """Updates a source. Updates remote `source` with `changes'. """ check_resource_type(source, SOURCE_PATH, message="A source id is needed.") source_id = get_source_id(source) if source_id: body = json.dumps(changes) return self._update("%s%s" % (self.url, source_id), body)
def get_source(self, source, query_string=""): """Retrieves a remote source. The source parameter should be a string containing the source id or the dict returned by create_source. As source is an evolving object that is processed until it reaches the FINISHED or FAULTY state, thet function will return a dict that encloses the source values and state info available at the time it is called. """ check_resource_type(source, SOURCE_PATH, message="A source id is needed.") source_id = get_source_id(source) if source_id: return self._get("%s%s" % (self.url, source_id), query_string=query_string)
def get_source(self, source, query_string=''): """Retrieves a remote source. The source parameter should be a string containing the source id or the dict returned by create_source. As source is an evolving object that is processed until it reaches the FINISHED or FAULTY state, thet function will return a dict that encloses the source values and state info available at the time it is called. """ check_resource_type(source, SOURCE_PATH, message="A source id is needed.") source_id = get_source_id(source) if source_id: return self._get("%s%s" % (self.url, source_id), query_string=query_string)
def create_dataset(self, origin_resource, args=None, wait_time=3, retries=10): """Creates a remote dataset. Uses a remote resource to create a new dataset using the arguments in `args`. The allowed remote resources can be: - source - dataset - list of datasets - cluster In the case of using cluster id as origin_resources, a centroid must also be provided in the args argument. The first centroid is used otherwise. If `wait_time` is higher than 0 then the dataset creation request is not sent until the `source` has been created successfuly. """ create_args = {} if args is not None: create_args.update(args) if isinstance(origin_resource, list): # mutidatasets create_args = self._set_create_from_datasets_args( origin_resource, args=create_args, wait_time=wait_time, retries=retries, key="origin_datasets") else: # dataset from source resource_type = get_resource_type(origin_resource) if resource_type == SOURCE_PATH: source_id = get_source_id(origin_resource) if source_id: check_resource(source_id, query_string=TINY_RESOURCE, wait_time=wait_time, retries=retries, raise_on_error=True, api=self) create_args.update({"source": source_id}) # dataset from dataset elif resource_type == DATASET_PATH: create_args = self._set_create_from_datasets_args( origin_resource, args=create_args, wait_time=wait_time, retries=retries, key="origin_dataset") # dataset from cluster and centroid elif resource_type == CLUSTER_PATH: cluster_id = get_cluster_id(origin_resource) cluster = check_resource(cluster_id, query_string=TINY_RESOURCE, wait_time=wait_time, retries=retries, raise_on_error=True, api=self) if not 'centroid' in create_args: try: centroid = cluster['object'][ 'cluster_datasets_ids'].keys()[0] create_args.update({'centroid': centroid}) except KeyError: raise KeyError("Failed to generate the dataset. A " "centroid id is needed in the args " "argument to generate a dataset from " "a cluster.") create_args.update({'cluster': cluster_id}) else: raise Exception("A source, dataset, list of dataset ids" " or cluster id plus centroid id are needed" " to create a" " dataset. %s found." % resource_type) body = json.dumps(create_args) return self._create(self.dataset_url, body)
def create_dataset(self, origin_resource, args=None, wait_time=3, retries=10): """Creates a remote dataset. Uses a remote resource to create a new dataset using the arguments in `args`. The allowed remote resources can be: - source - dataset - list of datasets - cluster In the case of using cluster id as origin_resources, a centroid must also be provided in the args argument. The first centroid is used otherwise. If `wait_time` is higher than 0 then the dataset creation request is not sent until the `source` has been created successfuly. """ create_args = {} if args is not None: create_args.update(args) if isinstance(origin_resource, list): # mutidatasets create_args = self._set_create_from_datasets_args( origin_resource, args=create_args, wait_time=wait_time, retries=retries, key="origin_datasets") else: # dataset from source resource_type = get_resource_type(origin_resource) if resource_type == SOURCE_PATH: source_id = get_source_id(origin_resource) if source_id: check_resource(source_id, query_string=TINY_RESOURCE, wait_time=wait_time, retries=retries, raise_on_error=True, api=self) create_args.update({ "source": source_id}) # dataset from dataset elif resource_type == DATASET_PATH: create_args = self._set_create_from_datasets_args( origin_resource, args=create_args, wait_time=wait_time, retries=retries, key="origin_dataset") # dataset from cluster and centroid elif resource_type == CLUSTER_PATH: cluster_id = get_cluster_id(origin_resource) cluster = check_resource(cluster_id, query_string=TINY_RESOURCE, wait_time=wait_time, retries=retries, raise_on_error=True, api=self) if 'centroid' not in create_args: try: centroid = cluster['object'][ 'cluster_datasets_ids'].keys()[0] create_args.update({'centroid': centroid}) except KeyError: raise KeyError("Failed to generate the dataset. A " "centroid id is needed in the args " "argument to generate a dataset from " "a cluster.") create_args.update({'cluster': cluster_id}) else: raise Exception("A source, dataset, list of dataset ids" " or cluster id plus centroid id are needed" " to create a" " dataset. %s found." % resource_type) body = json.dumps(create_args) return self._create(self.dataset_url, body)