import logging
import time
+import os
-import collections
import requests
-import six
+from requests import ConnectionError
+from yardstick.common import utils
from third_party.influxdb.influxdb_line_protocol import make_lines
from yardstick.dispatcher.base import Base as DispatchBase
self.influxdb_url = "%s/write?db=%s" % (self.target, self.db_name)
- self.task_id = -1
+ self.task_id = None
+ self.tags = None
def flush_result_data(self, data):
LOG.debug('Test result all : %s', data)
for case, data in testcases.items():
tc_criteria = data['criteria']
for record in data['tc_data']:
- self._upload_one_record(record, case, tc_criteria)
+ # skip results with no data because we influxdb encode empty dicts
+ if record.get("data"):
+ self.upload_one_record(record, case, tc_criteria)
return 0
- def _upload_one_record(self, data, case, tc_criteria):
+ def upload_one_record(self, data, case, tc_criteria, task_id=None):
+ if task_id:
+ self.task_id = task_id
+
+ line = self._data_to_line_protocol(data, case, tc_criteria)
+ LOG.debug('Test result line format : %s', line)
+
try:
- line = self._data_to_line_protocol(data, case, tc_criteria)
- LOG.debug('Test result line format : %s', line)
res = requests.post(self.influxdb_url,
data=line,
auth=(self.username, self.password),
timeout=self.timeout)
+ except ConnectionError as err:
+ LOG.exception('Failed to record result data: %s', err)
+ else:
if res.status_code != 204:
LOG.error('Test result posting finished with status code'
' %d.', res.status_code)
LOG.error(res.text)
- except Exception as err:
- LOG.exception('Failed to record result data: %s', err)
-
def _data_to_line_protocol(self, data, case, criteria):
msg = {}
+
+ if not self.tags:
+ self.tags = {
+ 'deploy_scenario': os.environ.get('DEPLOY_SCENARIO', 'unknown'),
+ 'installer': os.environ.get('INSTALLER_TYPE', 'unknown'),
+ 'pod_name': os.environ.get('NODE_NAME', 'unknown'),
+ 'version': os.environ.get('YARDSTICK_BRANCH', 'unknown')
+ }
+
point = {
"measurement": case,
- "fields": self._dict_key_flatten(data["data"]),
+ "fields": utils.flatten_dict_key(data["data"]),
"time": self._get_nano_timestamp(data),
"tags": self._get_extended_tags(criteria),
}
return make_lines(msg).encode('utf-8')
- def _dict_key_flatten(self, data):
- next_data = {}
-
- # use list, because iterable is too generic
- if not [v for v in data.values() if
- isinstance(v, (collections.Mapping, list))]:
- return data
-
- for k, v in six.iteritems(data):
- if isinstance(v, collections.Mapping):
- for n_k, n_v in six.iteritems(v):
- next_data["%s.%s" % (k, n_k)] = n_v
- # use list because iterable is too generic
- elif isinstance(v, list):
- for index, item in enumerate(v):
- next_data["%s%d" % (k, index)] = item
- else:
- next_data[k] = v
-
- return self._dict_key_flatten(next_data)
-
def _get_nano_timestamp(self, results):
try:
timestamp = results["timestamp"]
- except Exception:
+ except KeyError:
timestamp = time.time()
return str(int(float(timestamp) * 1000000000))