# Calculate nb of tests run and nb of tests failed
# vIMS_results = get_vIMSresults(vIMS_test)
# print vIMS_results
- if data_test['result'] == "Passed":
- nbTests += 1
- elif data_test['result'] == "Failed":
- nbFailures += 1
- elif data_test['result'] == "Skipped":
- nbSkipped += 1
+ try:
+ if data_test['result'] == "Passed":
+ nbTests += 1
+ elif data_test['result'] == "Failed":
+ nbFailures += 1
+ elif data_test['result'] == "Skipped":
+ nbSkipped += 1
+ except:
+ nbTests = 0
new_element.append({'x': data['creation_date'],
'y1': nbTests,
nbTestsOK = 0
nbTestsKO = 0
- if data_test['result'] == "Passed":
- nbTestsOK += 1
- elif data_test['result'] == "Failed":
- nbTestsKO += 1
+ try:
+ if data_test['result'] == "Passed":
+ nbTestsOK += 1
+ elif data_test['result'] == "Failed":
+ nbTestsKO += 1
+ except:
+ nbTestsOK = 0
nbTests += nbTestsOK + nbTestsKO
nbFailures += nbTestsKO
'data_set': [{'Run': nbTests,
'Failed': nbFailures}]})
+ # Graph 4: (Success rate)=f(time)
+ # ***************************************
+ new_element = []
+ for data in results:
+ try:
+ diff = (int(data['details']['tests']) - int(data['details']['failures']))
+ success_rate = 100*diff/int(data['details']['tests'])
+ except:
+ success_rate = 0
+
+ new_element.append({'x': data['creation_date'],
+ 'y1': success_rate})
+
+ test_data.append({'name': "Tempest success rate",
+ 'info': {'type': "graph",
+ 'xlabel': 'time',
+ 'y1label': 'Success rate'},
+ 'data_set': new_element})
+
return test_data
# ********************************
new_element = []
for data in results:
- summary_cursor = len(data)
+ summary_cursor = len(data['details']) - 1
new_element.append({'x': data['creation_date'],
'y': int(data['details'][summary_cursor]['summary']['duration'])})