本文整理汇总了Python中bzt.modules.aggregator.KPISet类的典型用法代码示例。如果您正苦于以下问题：Python KPISet类的具体用法？Python KPISet怎么用？Python KPISet使用的例子？那么恭喜您, 这里精选的类代码示例或许可以为您提供帮助。
在下文中一共展示了KPISet类的8个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: new
def new():
subj = KPISet(perc_levels=(100.0,))
subj[KPISet.RESP_TIMES].add(0.1)
subj[KPISet.RESP_TIMES].add(0.01)
subj[KPISet.RESP_TIMES].add(0.001)
subj.recalculate()
return subj示例2: point_from_locust
def point_from_locust(self, ts, sid, data):
"""
:type sid: str
:type ts: str
:type data: dict
:rtype: DataPoint
"""
point = DataPoint(int(ts))
point[DataPoint.SOURCE_ID] = sid
overall = KPISet()
for item in data['stats']:
if ts not in item['num_reqs_per_sec']:
continue
kpiset = KPISet()
kpiset[KPISet.SAMPLE_COUNT] = item['num_reqs_per_sec'][ts]
kpiset[KPISet.CONCURRENCY] = data['user_count']
if item['num_requests']:
avg_rt = (item['total_response_time'] / 1000.0) / item['num_requests']
kpiset.sum_rt = item['num_reqs_per_sec'][ts] * avg_rt
point[DataPoint.CURRENT][item['name']] = kpiset
overall.merge_kpis(kpiset)
point[DataPoint.CURRENT][''] = overall
point.recalculate()
return point示例3: point_from_locust
def point_from_locust(timestamp, sid, data):
"""
:type timestamp: str
:type sid: str
:type data: dict
:rtype: DataPoint
"""
point = DataPoint(int(timestamp))
point[DataPoint.SOURCE_ID] = sid
overall = KPISet()
for item in data['stats']:
if timestamp not in item['num_reqs_per_sec']:
continue
kpiset = KPISet()
kpiset[KPISet.SAMPLE_COUNT] = item['num_reqs_per_sec'][timestamp]
kpiset[KPISet.CONCURRENCY] = data['user_count']
kpiset[KPISet.BYTE_COUNT] = item['total_content_length']
if item['num_requests']:
avg_rt = (item['total_response_time'] / 1000.0) / item['num_requests']
kpiset.sum_rt = item['num_reqs_per_sec'][timestamp] * avg_rt
for err in data['errors'].values():
if err['name'] == item['name']:
new_err = KPISet.error_item_skel(err['error'], None, err['occurences'], KPISet.ERRTYPE_ERROR,
Counter())
KPISet.inc_list(kpiset[KPISet.ERRORS], ("msg", err['error']), new_err)
kpiset[KPISet.FAILURES] += err['occurences']
point[DataPoint.CURRENT][item['name']] = kpiset
overall.merge_kpis(kpiset)
point[DataPoint.CURRENT][''] = overall
point.recalculate()
return point示例4: test_prepare_no_filename_in_settings
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))示例5: test_log_messages_samples_count
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())示例6: __get_datapoint
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示例7: test_xml_format_sample_labels
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}),
#.........这里部分代码省略.........
示例8: test_log_messages_failed_labels
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}),
#.........这里部分代码省略.........