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How to use get_metric_obj method in yandex-tank

Best Python code snippet using yandex-tank

plugin.py

Source:plugin.py

...132        return retcode133    @property134    def is_telegraf(self):135        return True136    def get_metric_obj(self, col, case):137        """138        Generator of metric objects:139        Checks existent metrics and creates new metric if it does not exist.140        :param col:  str with column name141        :param case: str with case name142        :return: metric object143        """144        case_metrics = self.metrics_objs.get(case)145        if case_metrics is None:146            for col, constructor in self.col_map.items():147                self.metrics_objs.setdefault(case, {})[col] = constructor(148                    dict(self.meta,149                         name=col,150                         source='tank',151                         importance='high' if col in self.importance_high else ''),152                    raw=False, aggregate=True,153                    parent=self.get_metric_obj(col, self.OVERALL) if case != self.OVERALL else None,154                    case=case if case != self.OVERALL else None155                )156        return self.metrics_objs[case][col]157    def upload(self, df):158        self.upload_actual_rps(df)159        df_cases_set = set()160        for row in df.itertuples():161            if row.tag and isinstance(row.tag, str):162                df_cases_set.add(row.tag)163                if '|' in row.tag:164                    for tag in row.tag.split('|'):165                        df_cases_set.add(tag)166        for column in self.col_map:167            overall_metric_obj = self.get_metric_obj(column, self.OVERALL)168            df['value'] = df[column]169            result_df = self.filter_df_by_case(df, self.OVERALL)170            overall_metric_obj.put(result_df)171            for case_name in df_cases_set:172                case_metric_obj = self.get_metric_obj(column, case_name)173                df['value'] = df[column]174                result_df = self.filter_df_by_case(df, case_name)175                case_metric_obj.put(result_df)176    def upload_monitoring(self, data):177        for metric_name, df in self.monitoring_data_to_dfs(data).items():178            if metric_name not in self.monitoring_metrics:179                panel, metric = metric_name.split(':', 1)180                try:181                    group, name = metric.split('_', 1)182                except ValueError:183                    name = metric184                    group = '_OTHER_'185                self.monitoring_metrics[metric_name] =\186                    self.data_session.new_true_metric(...

__init__.py

Source:__init__.py

...53        if not verify:54            urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)55        return PrometheusConnect(disable_ssl=not verify, **self._conn_params)56    @staticmethod57    def get_metric_obj(metric_data):58        return Metric(metric_data)59    @staticmethod60    def get_metric_obj_list(metric_data):...

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