def test_prepare_no_filename_in_settings(self):
obj = JUnitXMLReporter()
obj.engine = EngineEmul()
obj.parameters = BetterDict.from_dict({"data-source": "sample-labels"})
obj.prepare()
datapoint = DataPoint(0, [])
cumul_data = KPISet.from_dict({
KPISet.AVG_CONN_TIME: 7.890211417203362e-06,
KPISet.RESP_TIMES: Counter({
0.0: 32160, 0.001: 24919, 0.002: 1049, 0.003: 630, 0.004: 224, 0.005: 125,
0.006: 73, 0.007: 46, 0.008: 32, 0.009: 20, 0.011: 8, 0.01: 8, 0.017: 3,
0.016: 3, 0.014: 3, 0.013: 3, 0.04: 2, 0.012: 2, 0.079: 1, 0.081: 1,
0.019: 1, 0.015: 1
}),
KPISet.ERRORS: [{'msg': 'Forbidden', 'cnt': 7373, 'type': 0,
'urls': Counter({'http://192.168.25.8/': 7373}), KPISet.RESP_CODES: '403'}],
KPISet.STDEV_RESP_TIME: 0.04947974228872108,
KPISet.AVG_LATENCY: 0.0002825639815220692,
KPISet.RESP_CODES: Counter({'304': 29656, '403': 29656, '200': 2}),
KPISet.PERCENTILES: {'95.0': 0.001, '0.0': 0.0, '99.9': 0.008, '90.0': 0.001,
'100.0': 0.081, '99.0': 0.003, '50.0': 0.0},
KPISet.SUCCESSES: 29658,
KPISet.SAMPLE_COUNT: 59314,
KPISet.CONCURRENCY: 0,
KPISet.AVG_RESP_TIME: 0.0005440536804127192,
KPISet.FAILURES: 29656})
datapoint[DataPoint.CUMULATIVE][""] = cumul_data
obj.aggregated_second(datapoint)
obj.post_process()
self.assertTrue(os.path.exists(obj.report_file_path))
def test_log_messages_samples_count(self):
obj = FinalStatus()
obj.engine = EngineEmul
obj.parameters = BetterDict()
obj.log = logger_mock()
obj.parameters.merge({"failed-labels": False, "percentiles": False, "summary": True, "test-duration": False})
datapoint = DataPoint(None, None)
cumul_data = KPISet.from_dict(
{KPISet.AVG_CONN_TIME: 7.890211417203362e-06,
KPISet.RESP_TIMES: Counter(
{0.0: 32160, 0.001: 24919, 0.002: 1049, 0.003: 630, 0.004: 224, 0.005: 125,
0.006: 73, 0.007: 46, 0.008: 32, 0.009: 20, 0.011: 8, 0.01: 8, 0.017: 3,
0.016: 3, 0.014: 3, 0.013: 3, 0.04: 2, 0.012: 2, 0.079: 1, 0.081: 1,
0.019: 1, 0.015: 1}),
KPISet.ERRORS: [{'msg': 'Forbidden', 'cnt': 7373, 'type': 0,
'urls': Counter({'http://192.168.25.8/': 7373}), KPISet.RESP_CODES: '403'}],
KPISet.STDEV_RESP_TIME: 0.04947974228872108,
KPISet.AVG_LATENCY: 0.0002825639815220692,
KPISet.RESP_CODES: Counter({'304': 29656, '403': 29656, '200': 2}),
KPISet.PERCENTILES: defaultdict(None, {'95.0': 0.001, '0.0': 0.0, '99.9': 0.008, '90.0': 0.001,
'100.0': 0.081, '99.0': 0.003, '50.0': 0.0}),
KPISet.SUCCESSES: 29658,
KPISet.SAMPLE_COUNT: 59314,
KPISet.CONCURRENCY: 0,
KPISet.AVG_RESP_TIME: 0.0005440536804127192,
KPISet.FAILURES: 29656})
datapoint[DataPoint.CUMULATIVE][""] = cumul_data
obj.last_sec = datapoint
obj.post_process()
self.assertEqual("Samples count: 59314, 50.00% failures\n", obj.log.info_buf.getvalue())
def __get_datapoint(self):
datapoint = DataPoint(None, None)
cumul_data = datapoint[DataPoint.CUMULATIVE]
cumul_data[""] = KPISet.from_dict(
{KPISet.AVG_CONN_TIME: 7.890211417203362e-06,
KPISet.RESP_TIMES: Counter(
{0.0: 32160, 0.001: 24919, 0.002: 1049, 0.003: 630, 0.004: 224, 0.005: 125,
0.006: 73, 0.007: 46, 0.008: 32, 0.009: 20, 0.011: 8, 0.01: 8, 0.017: 3,
0.016: 3, 0.014: 3, 0.013: 3, 0.04: 2, 0.012: 2, 0.079: 1, 0.081: 1,
0.019: 1, 0.015: 1}),
KPISet.ERRORS: [{'msg': 'Forbidden', 'cnt': 7373, 'type': 0,
'urls': Counter({'http://192.168.1.1/anotherquery': 7373}), KPISet.RESP_CODES: '403'}],
KPISet.STDEV_RESP_TIME: 0.04947974228872108,
KPISet.AVG_LATENCY: 0.0002825639815220692,
KPISet.RESP_CODES: Counter({'304': 29656, '403': 29656, '200': 2}),
KPISet.PERCENTILES: {'95.0': 0.001, '0.0': 0.0, '99.9': 0.008, '90.0': 0.001,
'100.0': 0.081, '99.0': 0.003, '50.0': 0.0},
KPISet.SUCCESSES: 29658,
KPISet.SAMPLE_COUNT: 59314,
KPISet.CONCURRENCY: 0,
KPISet.AVG_RESP_TIME: 0.0005440536804127192,
KPISet.FAILURES: 29656})
cumul_data["http://192.168.1.1/somequery"] = KPISet.from_dict(
{KPISet.AVG_CONN_TIME: 9.609548856969457e-06,
KPISet.RESP_TIMES: Counter(
{0.0: 17219, 0.001: 11246, 0.002: 543, 0.003: 341,
0.004: 121,
0.005: 66, 0.006: 36, 0.007: 33, 0.008: 18,
0.009: 12, 0.011: 6,
0.01: 5, 0.013: 2, 0.017: 2, 0.012: 2, 0.079: 1,
0.016: 1,
0.014: 1, 0.019: 1, 0.04: 1, 0.081: 1}),
KPISet.ERRORS: [],
KPISet.STDEV_RESP_TIME: 0.04073402130687656,
KPISet.AVG_LATENCY: 1.7196034796682178e-06,
KPISet.RESP_CODES: Counter({'304': 29656, '200': 2}),
KPISet.PERCENTILES: {'95.0': 0.001, '0.0': 0.0,
'99.9': 0.009,
'90.0': 0.001,
'100.0': 0.081,
'99.0': 0.004,
'50.0': 0.0},
KPISet.SUCCESSES: 29658,
KPISet.SAMPLE_COUNT: 29658,
KPISet.CONCURRENCY: 0,
KPISet.AVG_RESP_TIME: 0.0005164542450603551, KPISet.FAILURES: 0})
cumul_data["http://192.168.1.1/anotherquery"] = KPISet.from_dict(
{KPISet.AVG_CONN_TIME: 6.1707580253574335e-06,
KPISet.RESP_TIMES: Counter({0.0: 14941, 0.001: 13673, 0.002: 506,
0.003: 289, 0.004: 103,
0.005: 59, 0.006: 37, 0.008: 14,
0.007: 13, 0.009: 8, 0.01: 3,
0.011: 2, 0.016: 2, 0.014: 2,
0.017: 1, 0.013: 1, 0.015: 1,
0.04: 1}),
KPISet.ERRORS: [
{'msg': 'Forbidden', 'cnt': 7373, 'type': 0,
'urls': Counter(
{'http://192.168.1.1/anotherquery': 7373}),
KPISet.RESP_CODES: '403'}],
KPISet.STDEV_RESP_TIME: 0.032465137860758844,
KPISet.AVG_LATENCY: 0.0005634272997032645,
KPISet.RESP_CODES: Counter({'403': 29656}),
KPISet.PERCENTILES: {'95.0': 0.001, '0.0': 0.0,
'99.9': 0.008, '90.0': 0.001,
'100.0': 0.04, '99.0': 0.003,
'50.0': 0.0},
KPISet.SUCCESSES: 0,
KPISet.SAMPLE_COUNT: 29656,
KPISet.CONCURRENCY: 0,
KPISet.AVG_RESP_TIME: 0.0005716549770704078,
KPISet.FAILURES: 29656})
cumul_data["http://192.168.100.100/somequery"] = KPISet.from_dict(
{KPISet.AVG_CONN_TIME: 9.609548856969457e-06,
KPISet.RESP_TIMES: Counter(
{0.0: 17219, 0.001: 11246, 0.002: 543,
0.003: 341, 0.004: 121,
0.005: 66, 0.006: 36, 0.007: 33, 0.008: 18,
0.009: 12, 0.011: 6,
0.01: 5, 0.013: 2, 0.017: 2, 0.012: 2,
0.079: 1, 0.016: 1,
0.014: 1, 0.019: 1, 0.04: 1, 0.081: 1}),
KPISet.ERRORS: [],
KPISet.STDEV_RESP_TIME: 0.04073402130687656,
KPISet.AVG_LATENCY: 1.7196034796682178e-06,
KPISet.RESP_CODES: Counter({'304': 29656, '200': 2}),
KPISet.PERCENTILES: {'95.0': 0.001, '0.0': 0.0,
'99.9': 0.009, '90.0': 0.001,
'100.0': 0.081, '99.0': 0.004,
'50.0': 0.0},
KPISet.SUCCESSES: 29658,
KPISet.SAMPLE_COUNT: 29658,
KPISet.CONCURRENCY: 0,
KPISet.AVG_RESP_TIME: 0.0005164542450603551,
KPISet.FAILURES: 0})
return datapoint
def test_xml_format_sample_labels(self):
# generate xml, compare hash
obj = JUnitXMLReporter()
obj.engine = EngineEmul()
obj.parameters = BetterDict()
path_from_config = tempfile.mktemp(suffix='.xml', prefix='junit-xml-sample-labels',
dir=obj.engine.artifacts_dir)
# data-source: finalstats by default
obj.parameters.merge({"filename": path_from_config})
obj.prepare()
datapoint = DataPoint(None, None)
cumul_data = datapoint[DataPoint.CUMULATIVE]
cumul_data[""] = KPISet.from_dict(
{KPISet.AVG_CONN_TIME: 7.890211417203362e-06,
KPISet.RESP_TIMES: Counter(
{0.0: 32160, 0.001: 24919, 0.002: 1049, 0.003: 630, 0.004: 224, 0.005: 125,
0.006: 73, 0.007: 46, 0.008: 32, 0.009: 20, 0.011: 8, 0.01: 8, 0.017: 3,
0.016: 3, 0.014: 3, 0.013: 3, 0.04: 2, 0.012: 2, 0.079: 1, 0.081: 1,
0.019: 1, 0.015: 1}),
KPISet.ERRORS: [{'msg': 'Forbidden', 'cnt': 7373, 'type': 0,
'urls': Counter({'http://192.168.1.1/anotherquery': 7373}), KPISet.RESP_CODES: '403'}],
KPISet.STDEV_RESP_TIME: 0.04947974228872108,
KPISet.AVG_LATENCY: 0.0002825639815220692,
KPISet.RESP_CODES: Counter({'304': 29656, '403': 29656, '200': 2}),
KPISet.PERCENTILES: defaultdict(None, {'95.0': 0.001, '0.0': 0.0, '99.9': 0.008, '90.0': 0.001,
'100.0': 0.081, '99.0': 0.003, '50.0': 0.0}),
KPISet.SUCCESSES: 29658,
KPISet.SAMPLE_COUNT: 59314,
KPISet.CONCURRENCY: 0,
KPISet.AVG_RESP_TIME: 0.0005440536804127192,
KPISet.FAILURES: 29656})
cumul_data["http://192.168.1.1/somequery"] = KPISet.from_dict(
{KPISet.AVG_CONN_TIME: 9.609548856969457e-06,
KPISet.RESP_TIMES: Counter(
{0.0: 17219, 0.001: 11246, 0.002: 543, 0.003: 341,
0.004: 121,
0.005: 66, 0.006: 36, 0.007: 33, 0.008: 18,
0.009: 12, 0.011: 6,
0.01: 5, 0.013: 2, 0.017: 2, 0.012: 2, 0.079: 1,
0.016: 1,
0.014: 1, 0.019: 1, 0.04: 1, 0.081: 1}),
KPISet.ERRORS: [],
KPISet.STDEV_RESP_TIME: 0.04073402130687656,
KPISet.AVG_LATENCY: 1.7196034796682178e-06,
KPISet.RESP_CODES: Counter({'304': 29656, '200': 2}),
KPISet.PERCENTILES: defaultdict(None, {'95.0': 0.001, '0.0': 0.0,
'99.9': 0.009,
'90.0': 0.001,
'100.0': 0.081,
'99.0': 0.004,
'50.0': 0.0}),
KPISet.SUCCESSES: 29658,
KPISet.SAMPLE_COUNT: 29658,
KPISet.CONCURRENCY: 0,
KPISet.AVG_RESP_TIME: 0.0005164542450603551, KPISet.FAILURES: 0})
cumul_data["http://192.168.1.1/anotherquery"] = KPISet.from_dict(
{KPISet.AVG_CONN_TIME: 6.1707580253574335e-06,
KPISet.RESP_TIMES: Counter({0.0: 14941, 0.001: 13673, 0.002: 506,
0.003: 289, 0.004: 103,
0.005: 59, 0.006: 37, 0.008: 14,
0.007: 13, 0.009: 8, 0.01: 3,
0.011: 2, 0.016: 2, 0.014: 2,
0.017: 1, 0.013: 1, 0.015: 1,
0.04: 1}),
KPISet.ERRORS: [
{'msg': 'Forbidden', 'cnt': 7373, 'type': 0,
'urls': Counter(
{'http://192.168.1.1/anotherquery': 7373}),
KPISet.RESP_CODES: '403'}],
KPISet.STDEV_RESP_TIME: 0.032465137860758844,
KPISet.AVG_LATENCY: 0.0005634272997032645,
KPISet.RESP_CODES: Counter({'403': 29656}),
KPISet.PERCENTILES: defaultdict(None, {'95.0': 0.001, '0.0': 0.0,
'99.9': 0.008, '90.0': 0.001,
'100.0': 0.04, '99.0': 0.003,
'50.0': 0.0}),
KPISet.SUCCESSES: 0,
KPISet.SAMPLE_COUNT: 29656,
KPISet.CONCURRENCY: 0,
KPISet.AVG_RESP_TIME: 0.0005716549770704078,
KPISet.FAILURES: 29656})
cumul_data["http://192.168.100.100/somequery"] = KPISet.from_dict(
{KPISet.AVG_CONN_TIME: 9.609548856969457e-06,
KPISet.RESP_TIMES: Counter(
{0.0: 17219, 0.001: 11246, 0.002: 543,
0.003: 341, 0.004: 121,
0.005: 66, 0.006: 36, 0.007: 33, 0.008: 18,
0.009: 12, 0.011: 6,
0.01: 5, 0.013: 2, 0.017: 2, 0.012: 2,
0.079: 1, 0.016: 1,
0.014: 1, 0.019: 1, 0.04: 1, 0.081: 1}),
KPISet.ERRORS: [],
KPISet.STDEV_RESP_TIME: 0.04073402130687656,
KPISet.AVG_LATENCY: 1.7196034796682178e-06,
KPISet.RESP_CODES: Counter({'304': 29656, '200': 2}),
KPISet.PERCENTILES: defaultdict(None, {'95.0': 0.001, '0.0': 0.0,
'99.9': 0.009, '90.0': 0.001,
'100.0': 0.081, '99.0': 0.004,
'50.0': 0.0}),
KPISet.SUCCESSES: 29658,
KPISet.SAMPLE_COUNT: 29658,
KPISet.CONCURRENCY: 0,
KPISet.AVG_RESP_TIME: 0.0005164542450603551,
KPISet.FAILURES: 0})
obj.aggregated_second(datapoint)
obj.post_process()
with open(obj.report_file_path, 'rb') as fds:
f_contents = fds.read()
xml_tree = etree.fromstring(f_contents)
self.assertEqual('testsuite', xml_tree.tag)
self.assertEqual(4, len(xml_tree.getchildren()))
self.assertEqual('testcase', xml_tree.getchildren()[0].tag)
self.assertEqual('error', xml_tree.getchildren()[0].getchildren()[0].tag)
self.assertEqual('error', xml_tree.getchildren()[1].getchildren()[0].tag)
self.assertListEqual(['29656', 'taurus_sample-labels', '0', '59314'], xml_tree.values())
def test_log_messages_failed_labels(self):
obj = FinalStatus()
obj.engine = EngineEmul
obj.parameters = BetterDict()
obj.log = logger_mock()
obj.parameters.merge({"failed-labels": True, "percentiles": False, "summary": False, "test-duration": False})
datapoint = DataPoint(None, None)
cumul_data = datapoint[DataPoint.CUMULATIVE]
cumul_data[""] = KPISet.from_dict(
{KPISet.AVG_CONN_TIME: 7.890211417203362e-06,
KPISet.RESP_TIMES: Counter(
{0.0: 32160, 0.001: 24919, 0.002: 1049, 0.003: 630, 0.004: 224, 0.005: 125,
0.006: 73, 0.007: 46, 0.008: 32, 0.009: 20, 0.011: 8, 0.01: 8, 0.017: 3,
0.016: 3, 0.014: 3, 0.013: 3, 0.04: 2, 0.012: 2, 0.079: 1, 0.081: 1,
0.019: 1, 0.015: 1}),
KPISet.ERRORS: [{'msg': 'Forbidden', 'cnt': 7373, 'type': 0,
'urls': Counter({'http://192.168.1.1/anotherquery': 7373}), KPISet.RESP_CODES: '403'}],
KPISet.STDEV_RESP_TIME: 0.04947974228872108,
KPISet.AVG_LATENCY: 0.0002825639815220692,
KPISet.RESP_CODES: Counter({'304': 29656, '403': 29656, '200': 2}),
KPISet.PERCENTILES: defaultdict(None, {'95.0': 0.001, '0.0': 0.0, '99.9': 0.008, '90.0': 0.001,
'100.0': 0.081, '99.0': 0.003, '50.0': 0.0}),
KPISet.SUCCESSES: 29658,
KPISet.SAMPLE_COUNT: 59314,
KPISet.CONCURRENCY: 0,
KPISet.AVG_RESP_TIME: 0.0005440536804127192,
KPISet.FAILURES: 29656})
cumul_data["http://192.168.1.1/somequery"] = KPISet.from_dict(
{KPISet.AVG_CONN_TIME: 9.609548856969457e-06,
KPISet.RESP_TIMES: Counter(
{0.0: 17219, 0.001: 11246, 0.002: 543, 0.003: 341,
0.004: 121,
0.005: 66, 0.006: 36, 0.007: 33, 0.008: 18,
0.009: 12, 0.011: 6,
0.01: 5, 0.013: 2, 0.017: 2, 0.012: 2, 0.079: 1,
0.016: 1,
0.014: 1, 0.019: 1, 0.04: 1, 0.081: 1}),
KPISet.ERRORS: [],
KPISet.STDEV_RESP_TIME: 0.04073402130687656,
KPISet.AVG_LATENCY: 1.7196034796682178e-06,
KPISet.RESP_CODES: Counter({'304': 29656, '200': 2}),
KPISet.PERCENTILES: defaultdict(None, {'95.0': 0.001, '0.0': 0.0,
'99.9': 0.009,
'90.0': 0.001,
'100.0': 0.081,
'99.0': 0.004,
'50.0': 0.0}),
KPISet.SUCCESSES: 29658,
KPISet.SAMPLE_COUNT: 29658,
KPISet.CONCURRENCY: 0,
KPISet.AVG_RESP_TIME: 0.0005164542450603551, KPISet.FAILURES: 0})
cumul_data["http://192.168.1.1/anotherquery"] = KPISet.from_dict(
{KPISet.AVG_CONN_TIME: 6.1707580253574335e-06,
KPISet.RESP_TIMES: Counter({0.0: 14941, 0.001: 13673, 0.002: 506,
0.003: 289, 0.004: 103,
0.005: 59, 0.006: 37, 0.008: 14,
0.007: 13, 0.009: 8, 0.01: 3,
0.011: 2, 0.016: 2, 0.014: 2,
0.017: 1, 0.013: 1, 0.015: 1,
0.04: 1}),
KPISet.ERRORS: [
{'msg': 'Forbidden', 'cnt': 7373, 'type': 0,
'urls': Counter(
{'http://192.168.1.1/anotherquery': 7373}),
KPISet.RESP_CODES: '403'}],
KPISet.STDEV_RESP_TIME: 0.032465137860758844,
KPISet.AVG_LATENCY: 0.0005634272997032645,
KPISet.RESP_CODES: Counter({'403': 29656}),
KPISet.PERCENTILES: defaultdict(None, {'95.0': 0.001, '0.0': 0.0,
'99.9': 0.008, '90.0': 0.001,
'100.0': 0.04, '99.0': 0.003,
'50.0': 0.0}),
KPISet.SUCCESSES: 0,
KPISet.SAMPLE_COUNT: 29656,
KPISet.CONCURRENCY: 0,
KPISet.AVG_RESP_TIME: 0.0005716549770704078,
KPISet.FAILURES: 29656})
cumul_data["http://192.168.100.100/somequery"] = KPISet.from_dict(
{KPISet.AVG_CONN_TIME: 9.609548856969457e-06,
KPISet.RESP_TIMES: Counter(
{0.0: 17219, 0.001: 11246, 0.002: 543,
0.003: 341, 0.004: 121,
0.005: 66, 0.006: 36, 0.007: 33, 0.008: 18,
0.009: 12, 0.011: 6,
0.01: 5, 0.013: 2, 0.017: 2, 0.012: 2,
0.079: 1, 0.016: 1,
0.014: 1, 0.019: 1, 0.04: 1, 0.081: 1}),
KPISet.ERRORS: [],
KPISet.STDEV_RESP_TIME: 0.04073402130687656,
KPISet.AVG_LATENCY: 1.7196034796682178e-06,
KPISet.RESP_CODES: Counter({'304': 29656, '200': 2}),
KPISet.PERCENTILES: defaultdict(None, {'95.0': 0.001, '0.0': 0.0,
'99.9': 0.009, '90.0': 0.001,
'100.0': 0.081, '99.0': 0.004,
'50.0': 0.0}),
KPISet.SUCCESSES: 29658,
KPISet.SAMPLE_COUNT: 29658,
KPISet.CONCURRENCY: 0,
KPISet.AVG_RESP_TIME: 0.0005164542450603551,
KPISet.FAILURES: 0})
obj.last_sec = datapoint
obj.post_process()
self.assertEqual("29656 failed samples: http://192.168.1.1/anotherquery\n", obj.log.info_buf.getvalue())
def test_prepare_filename_in_settings(self):
# test path parameter from config
obj = JUnitXMLReporter()
obj.engine = EngineEmul()
obj.parameters = BetterDict()
path_from_config = tempfile.mktemp(suffix='.xml',
prefix='junit-xml-path-in-settings',
dir=obj.engine.artifacts_dir)
obj.parameters.merge({
"filename": path_from_config,
"data-source": "sample-labels"
})
obj.prepare()
datapoint = DataPoint(0, [])
cumul_data = KPISet.from_dict({
KPISet.AVG_CONN_TIME:
7.890211417203362e-06,
KPISet.RESP_TIMES:
Counter({
0.0: 32160,
0.001: 24919,
0.002: 1049,
0.003: 630,
0.004: 224,
0.005: 125,
0.006: 73,
0.007: 46,
0.008: 32,
0.009: 20,
0.011: 8,
0.01: 8,
0.017: 3,
0.016: 3,
0.014: 3,
0.013: 3,
0.04: 2,
0.012: 2,
0.079: 1,
0.081: 1,
0.019: 1,
0.015: 1
}),
KPISet.ERRORS: [{
'msg': 'Forbidden',
'cnt': 7373,
'type': 0,
'urls': Counter({'http://192.168.25.8/': 7373}),
KPISet.RESP_CODES: '403'
}],
KPISet.STDEV_RESP_TIME:
0.04947974228872108,
KPISet.AVG_LATENCY:
0.0002825639815220692,
KPISet.RESP_CODES:
Counter({
'304': 29656,
'403': 29656,
'200': 2
}),
KPISet.PERCENTILES: {
'95.0': 0.001,
'0.0': 0.0,
'99.9': 0.008,
'90.0': 0.001,
'100.0': 0.081,
'99.0': 0.003,
'50.0': 0.0
},
KPISet.SUCCESSES:
29658,
KPISet.SAMPLE_COUNT:
59314,
KPISet.CONCURRENCY:
0,
KPISet.AVG_RESP_TIME:
0.0005440536804127192,
KPISet.FAILURES:
29656
})
datapoint[DataPoint.CUMULATIVE][""] = cumul_data
obj.aggregated_second(datapoint)
obj.post_process()
self.assertTrue(os.path.exists(obj.report_file_path))
def test_xml_format_sample_labels(self):
# generate xml, compare hash
obj = JUnitXMLReporter()
obj.engine = EngineEmul()
obj.parameters = BetterDict()
path_from_config = tempfile.mktemp(suffix='.xml',
prefix='junit-xml-sample-labels',
dir=obj.engine.artifacts_dir)
# data-source: finalstats by default
obj.parameters.merge({"filename": path_from_config})
obj.prepare()
datapoint = DataPoint(None, None)
cumul_data = datapoint[DataPoint.CUMULATIVE]
cumul_data[""] = KPISet.from_dict({
KPISet.AVG_CONN_TIME:
7.890211417203362e-06,
KPISet.RESP_TIMES:
Counter({
0.0: 32160,
0.001: 24919,
0.002: 1049,
0.003: 630,
0.004: 224,
0.005: 125,
0.006: 73,
0.007: 46,
0.008: 32,
0.009: 20,
0.011: 8,
0.01: 8,
0.017: 3,
0.016: 3,
0.014: 3,
0.013: 3,
0.04: 2,
0.012: 2,
0.079: 1,
0.081: 1,
0.019: 1,
0.015: 1
}),
KPISet.ERRORS: [{
'msg':
'Forbidden',
'cnt':
7373,
'type':
0,
'urls':
Counter({'http://192.168.1.1/anotherquery': 7373}),
KPISet.RESP_CODES:
'403'
}],
KPISet.STDEV_RESP_TIME:
0.04947974228872108,
KPISet.AVG_LATENCY:
0.0002825639815220692,
KPISet.RESP_CODES:
Counter({
'304': 29656,
'403': 29656,
'200': 2
}),
KPISet.PERCENTILES:
defaultdict(
None, {
'95.0': 0.001,
'0.0': 0.0,
'99.9': 0.008,
'90.0': 0.001,
'100.0': 0.081,
'99.0': 0.003,
'50.0': 0.0
}),
KPISet.SUCCESSES:
29658,
KPISet.SAMPLE_COUNT:
59314,
KPISet.CONCURRENCY:
0,
KPISet.AVG_RESP_TIME:
0.0005440536804127192,
KPISet.FAILURES:
29656
})
cumul_data["http://192.168.1.1/somequery"] = KPISet.from_dict({
KPISet.AVG_CONN_TIME:
9.609548856969457e-06,
KPISet.RESP_TIMES:
Counter({
0.0: 17219,
0.001: 11246,
0.002: 543,
0.003: 341,
0.004: 121,
0.005: 66,
0.006: 36,
0.007: 33,
0.008: 18,
0.009: 12,
0.011: 6,
0.01: 5,
0.013: 2,
0.017: 2,
0.012: 2,
0.079: 1,
0.016: 1,
0.014: 1,
0.019: 1,
0.04: 1,
0.081: 1
}),
KPISet.ERRORS: [],
KPISet.STDEV_RESP_TIME:
0.04073402130687656,
KPISet.AVG_LATENCY:
1.7196034796682178e-06,
KPISet.RESP_CODES:
Counter({
'304': 29656,
'200': 2
}),
KPISet.PERCENTILES:
defaultdict(
None, {
'95.0': 0.001,
'0.0': 0.0,
'99.9': 0.009,
'90.0': 0.001,
'100.0': 0.081,
'99.0': 0.004,
'50.0': 0.0
}),
KPISet.SUCCESSES:
29658,
KPISet.SAMPLE_COUNT:
29658,
KPISet.CONCURRENCY:
0,
KPISet.AVG_RESP_TIME:
0.0005164542450603551,
KPISet.FAILURES:
0
})
cumul_data["http://192.168.1.1/anotherquery"] = KPISet.from_dict({
KPISet.AVG_CONN_TIME:
6.1707580253574335e-06,
KPISet.RESP_TIMES:
Counter({
0.0: 14941,
0.001: 13673,
0.002: 506,
0.003: 289,
0.004: 103,
0.005: 59,
0.006: 37,
0.008: 14,
0.007: 13,
0.009: 8,
0.01: 3,
0.011: 2,
0.016: 2,
0.014: 2,
0.017: 1,
0.013: 1,
0.015: 1,
0.04: 1
}),
KPISet.ERRORS: [{
'msg':
'Forbidden',
'cnt':
7373,
'type':
0,
'urls':
Counter({'http://192.168.1.1/anotherquery': 7373}),
KPISet.RESP_CODES:
'403'
}],
KPISet.STDEV_RESP_TIME:
0.032465137860758844,
KPISet.AVG_LATENCY:
0.0005634272997032645,
KPISet.RESP_CODES:
Counter({'403': 29656}),
KPISet.PERCENTILES:
defaultdict(
None, {
'95.0': 0.001,
'0.0': 0.0,
'99.9': 0.008,
'90.0': 0.001,
'100.0': 0.04,
'99.0': 0.003,
'50.0': 0.0
}),
KPISet.SUCCESSES:
0,
KPISet.SAMPLE_COUNT:
29656,
KPISet.CONCURRENCY:
0,
KPISet.AVG_RESP_TIME:
0.0005716549770704078,
KPISet.FAILURES:
29656
})
cumul_data["http://192.168.100.100/somequery"] = KPISet.from_dict({
KPISet.AVG_CONN_TIME:
9.609548856969457e-06,
KPISet.RESP_TIMES:
Counter({
0.0: 17219,
0.001: 11246,
0.002: 543,
0.003: 341,
0.004: 121,
0.005: 66,
0.006: 36,
0.007: 33,
0.008: 18,
0.009: 12,
0.011: 6,
0.01: 5,
0.013: 2,
0.017: 2,
0.012: 2,
0.079: 1,
0.016: 1,
0.014: 1,
0.019: 1,
0.04: 1,
0.081: 1
}),
KPISet.ERRORS: [],
KPISet.STDEV_RESP_TIME:
0.04073402130687656,
KPISet.AVG_LATENCY:
1.7196034796682178e-06,
KPISet.RESP_CODES:
Counter({
'304': 29656,
'200': 2
}),
KPISet.PERCENTILES:
defaultdict(
None, {
'95.0': 0.001,
'0.0': 0.0,
'99.9': 0.009,
'90.0': 0.001,
'100.0': 0.081,
'99.0': 0.004,
'50.0': 0.0
}),
KPISet.SUCCESSES:
29658,
KPISet.SAMPLE_COUNT:
29658,
KPISet.CONCURRENCY:
0,
KPISet.AVG_RESP_TIME:
0.0005164542450603551,
KPISet.FAILURES:
0
})
obj.aggregated_second(datapoint)
obj.post_process()
with open(obj.report_file_path, 'rb') as fds:
f_contents = fds.read()
xml_tree = etree.fromstring(f_contents)
self.assertEqual('testsuite', xml_tree.tag)
self.assertEqual(4, len(xml_tree.getchildren()))
self.assertEqual('testcase', xml_tree.getchildren()[0].tag)
self.assertEqual('error',
xml_tree.getchildren()[0].getchildren()[0].tag)
self.assertEqual('error',
xml_tree.getchildren()[1].getchildren()[0].tag)
self.assertListEqual(['29656', 'taurus_sample-labels', '0', '59314'],
xml_tree.values())