def collectJiraMetrics():
global cachedMetrics
global serviceIsReady
#metricsStrReplaced =""
start = datetime.now()
logger.info('Start collecting metrics...')
metrics_descriptions_file = config.get('jira', 'metrics_descriptions_file')
try:
jiraCollector = JiraCollector(metrics_descriptions_file)
# Collect all jira metrics
metricsDict = jiraCollector.collect()
except:
logger.exception("Error while trying to collect metrics")
raise
# Convert to metric format
metricsStr = stringifyJsonMetric(str(metricsDict))
end = datetime.now()
# Add metrics about this run
metricsStr = addInternalMetrics(metricsStr, start, end, len(metricsDict))
# Update cached metrics
cachedMetrics = metricsStr
logger.info("Metrics collected OK")
serviceIsReady = True
def test_collect_metrics_converts_jsonfile_to_correct_jql(mock_query_jira):
mock_query_jira.return_value ="42"
jc = JiraCollector("simple_test.json")
result = jc.collect()
assert mock_query_jira.call_count == 2
mock_query_jira.assert_any_call('project = BIP AND status IN ("10002")', 0)
mock_query_jira.assert_any_call('project = DAPLA AND status IN ("10002")', 0)
def test_collect_metrics_converts_jql_results_to_correct_dictionary(mock_query_jira):
mock_query_jira.return_value ="42"
jc = JiraCollector("simple_test.json")
result = jc.collect()
expectedMetricsDict ={
"jira_total_done{project_name=\"BIP\"}":"42",
"jira_total_done{project_name=\"DAPLA\"}":"42"
}
assert result == expectedMetricsDict