Python KPISet.from_dict方法代碼示例

本文整理匯總了Python中bzt.modules.aggregator.KPISet.from_dict方法的典型用法代碼示例。如果您正苦於以下問題：Python KPISet.from_dict方法的具體用法？Python KPISet.from_dict怎麽用？Python KPISet.from_dict使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類bzt.modules.aggregator.KPISet的用法示例。

在下文中一共展示了KPISet.from_dict方法的5個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。

示例1: test_prepare_no_filename_in_settings

# 需要導入模塊: from bzt.modules.aggregator import KPISet [as 別名]
# 或者: from bzt.modules.aggregator.KPISet import from_dict [as 別名]
    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))

開發者ID:andy7i，項目名稱:taurus，代碼行數:37，代碼來源:test_JUnitXMLReporter.py

示例2: test_log_messages_samples_count

# 需要導入模塊: from bzt.modules.aggregator import KPISet [as 別名]
# 或者: from bzt.modules.aggregator.KPISet import from_dict [as 別名]
    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())

開發者ID:kobi1023，項目名稱:taurus，代碼行數:37，代碼來源:test_FinalStatsReporter.py

示例3: __get_datapoint

# 需要導入模塊: from bzt.modules.aggregator import KPISet [as 別名]
# 或者: from bzt.modules.aggregator.KPISet import from_dict [as 別名]
 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

開發者ID:PurdyForks，項目名稱:taurus，代碼行數:98，代碼來源:test_FinalStatusReporter.py

示例4: test_xml_format_sample_labels

# 需要導入模塊: from bzt.modules.aggregator import KPISet [as 別名]
# 或者: from bzt.modules.aggregator.KPISet import from_dict [as 別名]
    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}),
#.........這裏部分代碼省略.........

開發者ID:Yingmin-Li，項目名稱:taurus，代碼行數:103，代碼來源:test_JUnitXMLReporter.py

示例5: test_log_messages_failed_labels

# 需要導入模塊: from bzt.modules.aggregator import KPISet [as 別名]
# 或者: from bzt.modules.aggregator.KPISet import from_dict [as 別名]
    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}),
#.........這裏部分代碼省略.........

開發者ID:kobi1023，項目名稱:taurus，代碼行數:103，代碼來源:test_FinalStatsReporter.py

注：本文中的bzt.modules.aggregator.KPISet.from_dict方法示例由純淨天空整理自Github/MSDocs等開源代碼及文檔管理平台，相關代碼片段篩選自各路編程大神貢獻的開源項目，源碼版權歸原作者所有，傳播和使用請參考對應項目的License；未經允許，請勿轉載。