# under the License.
#
-import json
import logging
import requests
to filter the testapi results. The following keys are currently
supported:
- mandatory keys: 'duration_sec', 'frame_sizes', 'flow_count', 'rate'
- - optional keys: 'user_label', 'flavor_type'
+ - optional keys: 'user_label'
Returns:
None if no result matching the filters can be found, else a dictionary
Perform an HTTP GET request on testapi, check status code and return JSON
results as dictionary.
- Args: testapi_url: a complete URL to request testapi results (with base
- endpoint and parameters)
+ Args:
+ testapi_url: a complete URL to request testapi results (with base
+ endpoint and parameters)
Returns:
The JSON document from testapi as a Python dictionary
Raises:
+ * requests.exceptions.ConnectionError in case of network problem
+ when trying to establish a connection with the TestAPI database
+ (DNS failure, refused connection, ...)
+
+ * requests.exceptions.ConnectTimeout in case of timeout during the
+ request.
+
+ * requests.exception.HTTPError if the HTTP request returned an
+ unsuccessful status code.
+ * another exception derived from requests.exceptions.RequestException
+ in case of problem during the HTTP request.
"""
response = requests.get(testapi_url)
- assert response.status_code == 200 # TODO: better error message
- results = json.loads(response.text)
- return results
+ # raise an HTTPError if the HTTP request returned an unsuccessful status code:
+ response.raise_for_status()
+ return response.json()
def equal_test_conditions(testapi_input, nfvbench_input):
The following dict keys are currently supported:
- mandatory keys: 'duration_sec', 'frame_sizes', 'flow_count', 'rate'
- - optional keys: 'user_label', 'flavor_type'
+ - optional keys: 'user_label'
Optional keys are taken into account only when they can be found in
`nfvbench_input`, else they are ignored.
required_keys = ['duration_sec', 'frame_sizes', 'flow_count', 'rate']
if 'user_label' in nfvbench_input:
required_keys.append('user_label')
- if 'flavor_type' in nfvbench_input:
- required_keys.append('flavor_type')
try:
testapi_subset = {k: testapi_input[k] for k in required_keys}
nfvbench_input: dict of nfvbench test parameters
"""
string = ""
- for key in ['user_label', 'flavor_type', 'frame_sizes', 'flow_count', 'rate', 'duration_sec']:
+ for key in ['user_label', 'frame_sizes', 'flow_count', 'rate', 'duration_sec']:
if key in nfvbench_input:
string += f"{key}={nfvbench_input[key]} "
return string