def _get_fields_key(resource):
"""Returns the fields key from a resource dict
"""
if resource['code'] in [HTTP_OK, HTTP_ACCEPTED]:
if (MODEL_RE.match(resource_id) or
ANOMALY_RE.match(resource_id)):
return resource['object']['model']['model_fields']
elif CLUSTER_RE.match(resource_id):
return resource['object']['clusters']['fields']
elif CORRELATION_RE.match(resource_id):
return resource['object']['correlations']['fields']
elif STATISTICAL_TEST_RE.match(resource_id):
return resource['object']['statistical_tests']['fields']
elif LOGISTIC_REGRESSION_RE.match(resource_id):
return resource['object']['logistic_regression']['fields']
elif ASSOCIATION_RE.match(resource_id):
return resource['object']['associations']['fields']
elif TOPIC_MODEL_RE.match(resource_id):
return resource['object']['topic_model']['fields']
elif TIME_SERIES_RE.match(resource_id):
return resource['object']['time_series']['fields']
elif DEEPNET_RE.match(resource_id):
return resource['object']['deepnet']['fields']
elif SAMPLE_RE.match(resource_id):
return dict([(field['id'], field) for field in
resource['object']['sample']['fields']])
elif PCA_RE.match(resource_id):
return dict([(field['id'], field) for field in
resource['object']['pca']['fields']])
elif LINEAR_REGRESSION_RE.match(resource_id):
return resource['object']['linear_regression']['fields']
else:
return resource['object']['fields']
return None
def _get_fields_key(resource):
"""Returns the fields key from a resource dict
"""
if resource['code'] in [HTTP_OK, HTTP_ACCEPTED]:
if (MODEL_RE.match(resource_id) or
ANOMALY_RE.match(resource_id)):
return resource['object']['model']['model_fields']
elif CLUSTER_RE.match(resource_id):
return resource['object']['clusters']['fields']
elif CORRELATION_RE.match(resource_id):
return resource['object']['correlations']['fields']
elif STATISTICAL_TEST_RE.match(resource_id):
return resource['object']['statistical_tests']['fields']
elif STATISTICAL_TEST_RE.match(resource_id):
return resource['object']['statistical_tests']['fields']
elif LOGISTIC_REGRESSION_RE.match(resource_id):
return resource['object']['logistic_regression']['fields']
elif ASSOCIATION_RE.match(resource_id):
return resource['object']['associations']['fields']
elif TOPIC_MODEL_RE.match(resource_id):
return resource['object']['topic_model']['fields']
elif SAMPLE_RE.match(resource_id):
return dict([(field['id'], field) for field in
resource['object']['sample']['fields']])
else:
return resource['object']['fields']
return None