Esempio n. 1
0
    def _extract_process_metrics(json_data):
        """
        :type json_data: dict
        :rtype : dict
        """
        fields = dict(exit='exit', duration='duration')

        context = JsonPreprocessor.extract_props(json_data, fields)
        context = JsonPreprocessor.convert_fields(context, int, ['exit'])
        context = JsonPreprocessor.convert_fields(context, float, ['duration'])
        return context
Esempio n. 2
0
    def _extract_process_metrics(json_data):
        """
        :type json_data: dict
        :rtype : dict
        """
        fields = dict(exit='exit', duration='duration')

        context = JsonPreprocessor.extract_props(json_data, fields)
        context = JsonPreprocessor.convert_fields(context, int, ['exit'])
        context = JsonPreprocessor.convert_fields(context, float, ['duration'])
        return context
Esempio n. 3
0
    def _extract_process_context(json_data):
        """
        :type json_data: dict
        :rtype : dict
        """
        fields = dict(flags='program-flags', branch='program-branch', problem='problem',
                      path='path', task_size='task-size', resolution='timer-resolution',
                      start='run-started-at', nproc='nproc', version='program-revision')

        context = JsonPreprocessor.extract_props(json_data, fields)
        context = JsonPreprocessor.convert_fields(
            context, lambda x: datetime.strptime(x, '%m/%d/%y %H:%M:%S'), ['start'])
        return context
Esempio n. 4
0
    def _extract_event_metrics(json_data):
        """
        :type json_data: dict
        :rtype : dict
        """
        fields = dict(call='call-count', call_max='call-count-max',
                      call_min='call-count-min', call_sum='call-count-sum',
                      duration='cumul-time',

                      time='cumul-time', time_max='cumul-time-max',
                      time_min='cumul-time-min', time_sum='cumul-time-sum')

        context = JsonPreprocessor.extract_props(json_data, fields)
        context = JsonPreprocessor.convert_fields(
            context, lambda x: datetime.strptime(x, '%m/%d/%y %H:%M:%S'), ['start'])
        return context
Esempio n. 5
0
    def _extract_event_metrics(json_data):
        """
        :type json_data: dict
        :rtype : dict
        """
        fields = dict(call='call-count',
                      call_max='call-count-max',
                      call_min='call-count-min',
                      call_sum='call-count-sum',
                      duration='cumul-time',
                      time='cumul-time',
                      time_max='cumul-time-max',
                      time_min='cumul-time-min',
                      time_sum='cumul-time-sum')

        context = JsonPreprocessor.extract_props(json_data, fields)
        context = JsonPreprocessor.convert_fields(
            context, lambda x: datetime.strptime(x, '%m/%d/%y %H:%M:%S'),
            ['start'])
        return context
Esempio n. 6
0
    def _extract_process_context(json_data):
        """
        :type json_data: dict
        :rtype : dict
        """
        fields = dict(flags='program-flags',
                      branch='program-branch',
                      problem='problem',
                      path='path',
                      task_size='task-size',
                      resolution='timer-resolution',
                      start='run-started-at',
                      nproc='nproc',
                      version='program-revision')

        context = JsonPreprocessor.extract_props(json_data, fields)
        context = JsonPreprocessor.convert_fields(
            context, lambda x: datetime.strptime(x, '%m/%d/%y %H:%M:%S'),
            ['start'])
        return context