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How to use widget_explain method in yandex-tank

Best Python code snippet using yandex-tank

criterions.py

Source:criterions.py

...38            "Average response time higher"39            " than %sms for %ss, since %s" %40            (self.rt_limit, self.seconds_count, self.cause_second[0]["ts"]))41        return explanation42    def widget_explain(self):43        items = (self.rt_limit, self.seconds_count, self.seconds_limit)44        return "Avg Time >%sms for %s/%ss" % items, float(45            self.seconds_count) / self.seconds_limit46class HTTPCodesCriterion(AbstractCriterion):47    """ HTTP codes criterion """48    @staticmethod49    def get_type_string():50        return 'http'51    def __init__(self, autostop, param_str):52        AbstractCriterion.__init__(self)53        self.seconds_count = 054        self.codes_mask = param_str.split(',')[0].lower()55        self.codes_regex = re.compile(self.codes_mask.replace("x", '.'))56        self.autostop = autostop57        level_str = param_str.split(',')[1].strip()58        if level_str[-1:] == '%':59            self.level = float(level_str[:-1]) / 10060            self.is_relative = True61        else:62            self.level = int(level_str)63            self.is_relative = False64        self.seconds_limit = expand_to_seconds(param_str.split(',')[2])65    def notify(self, data, stat):66        matched_responses = self.count_matched_codes(67            self.codes_regex, data["overall"]["proto_code"]["count"])68        if self.is_relative:69            if data["overall"]["interval_real"]["len"]:70                matched_responses = float(matched_responses) / data["overall"][71                    "interval_real"]["len"]72            else:73                matched_responses = 074        logger.debug(75            "HTTP codes matching mask %s: %s/%s", self.codes_mask,76            matched_responses, self.level)77        if matched_responses >= self.level:78            if not self.seconds_count:79                self.cause_second = (data, stat)80            logger.debug(self.explain())81            self.seconds_count += 182            self.autostop.add_counting(self)83            if self.seconds_count >= self.seconds_limit:84                return True85        else:86            self.seconds_count = 087        return False88    def get_rc(self):89        return self.RC_HTTP90    def get_level_str(self):91        """ format level str """92        if self.is_relative:93            level_str = str(100 * self.level) + "%"94        else:95            level_str = self.level96        return level_str97    def explain(self):98        items = (99            self.codes_mask, self.get_level_str(), self.seconds_count,100            self.cause_second[0].get('ts'))101        return "%s codes count higher than %s for %ss, since %s" % items102    def widget_explain(self):103        items = (104            self.codes_mask, self.get_level_str(), self.seconds_count,105            self.seconds_limit)106        return "HTTP %s>%s for %s/%ss" % items, float(107            self.seconds_count) / self.seconds_limit108class NetCodesCriterion(AbstractCriterion):109    """ Net codes criterion """110    @staticmethod111    def get_type_string():112        return 'net'113    def __init__(self, autostop, param_str):114        AbstractCriterion.__init__(self)115        self.seconds_count = 0116        self.codes_mask = param_str.split(',')[0].lower()117        self.codes_regex = re.compile(self.codes_mask.replace("x", '.'))118        self.autostop = autostop119        level_str = param_str.split(',')[1].strip()120        if level_str[-1:] == '%':121            self.level = float(level_str[:-1]) / 100122            self.is_relative = True123        else:124            self.level = int(level_str)125            self.is_relative = False126        self.seconds_limit = expand_to_seconds(param_str.split(',')[2])127    def notify(self, data, stat):128        codes = copy.deepcopy(data["overall"]["net_code"]["count"])129        if '0' in codes.keys():130            codes.pop('0')131        matched_responses = self.count_matched_codes(self.codes_regex, codes)132        if self.is_relative:133            if data["overall"]["interval_real"]["len"]:134                matched_responses = float(matched_responses) / data["overall"][135                    "interval_real"]["len"]136            else:137                matched_responses = 0138        logger.debug(139            "Net codes matching mask %s: %s/%s", self.codes_mask,140            matched_responses, self.level)141        if matched_responses >= self.level:142            if not self.seconds_count:143                self.cause_second = (data, stat)144            logger.debug(self.explain())145            self.seconds_count += 1146            self.autostop.add_counting(self)147            if self.seconds_count >= self.seconds_limit:148                return True149        else:150            self.seconds_count = 0151        return False152    def get_rc(self):153        return self.RC_NET154    def get_level_str(self):155        """ format level str """156        if self.is_relative:157            level_str = str(100 * self.level) + "%"158        else:159            level_str = self.level160        return level_str161    def explain(self):162        items = (163            self.codes_mask, self.get_level_str(), self.seconds_count,164            self.cause_second[0].get("ts"))165        return "%s net codes count higher than %s for %ss, since %s" % items166    def widget_explain(self):167        items = (168            self.codes_mask, self.get_level_str(), self.seconds_count,169            self.seconds_limit)170        return "Net %s>%s for %s/%ss" % items, float(171            self.seconds_count) / self.seconds_limit172class QuantileCriterion(AbstractCriterion):173    """ quantile criterion """174    @staticmethod175    def get_type_string():176        return 'quantile'177    def __init__(self, autostop, param_str):178        AbstractCriterion.__init__(self)179        self.seconds_count = 0180        self.quantile = float(param_str.split(',')[0])181        self.rt_limit = expand_to_milliseconds(param_str.split(',')[1])182        self.seconds_limit = expand_to_seconds(param_str.split(',')[2])183        self.autostop = autostop184    def notify(self, data, stat):185        quantiles = dict(186            zip(187                data["overall"]["interval_real"]["q"]["q"], data["overall"][188                    "interval_real"]["q"]["value"]))189        if self.quantile not in quantiles.keys():190            logger.warning("No quantile %s in %s", self.quantile, quantiles)191        if self.quantile in quantiles.keys() \192                and quantiles[self.quantile] / 1000.0 > self.rt_limit:193            if not self.seconds_count:194                self.cause_second = (data, stat)195            logger.debug(self.explain())196            self.seconds_count += 1197            self.autostop.add_counting(self)198            if self.seconds_count >= self.seconds_limit:199                return True200        else:201            self.seconds_count = 0202        return False203    def get_rc(self):204        return self.RC_TIME205    def explain(self):206        items = (207            self.quantile, self.rt_limit, self.seconds_count,208            self.cause_second[0].get("ts"))209        return "Percentile %s higher than %sms for %ss, since %s" % items210    def widget_explain(self):211        items = (212            self.quantile, self.rt_limit, self.seconds_count,213            self.seconds_limit)214        return "%s%% >%sms for %s/%ss" % items, float(215            self.seconds_count) / self.seconds_limit216class SteadyCumulativeQuantilesCriterion(AbstractCriterion):217    """ quantile criterion """218    @staticmethod219    def get_type_string():220        return 'steady_cumulative'221    def __init__(self, autostop, param_str):222        raise NotImplementedError223        AbstractCriterion.__init__(self)224        self.seconds_count = 0225        self.quantile_hash = ""226        self.seconds_limit = expand_to_seconds(param_str.split(',')[0])227        self.autostop = autostop228    def notify(self, data, stat):229        quantiles = dict(230            zip(data["overall"]["q"]["q"], data["overall"]["q"]["values"]))231        quantile_hash = json.dumps(quantiles)232        logging.debug("Cumulative quantiles hash: %s", quantile_hash)233        if self.quantile_hash == quantile_hash:234            if not self.seconds_count:235                self.cause_second = (data, stat)236            logger.debug(self.explain())237            self.seconds_count += 1238            self.autostop.add_counting(self)239            if self.seconds_count >= self.seconds_limit:240                return True241        else:242            self.seconds_count = 0243        self.quantile_hash = quantile_hash244        return False245    def get_rc(self):246        return self.RC_STEADY247    def explain(self):248        items = (self.seconds_count, self.cause_second[0]["ts"])249        return "Cumulative percentiles are steady for %ss, since %s" % items250    def widget_explain(self):251        items = (self.seconds_count, self.seconds_limit)252        return "Steady for %s/%ss" % items, float(253            self.seconds_count) / self.seconds_limit254class TimeLimitCriterion(AbstractCriterion):255    """ time limit criterion """256    @staticmethod257    def get_type_string():258        return 'limit'259    def __init__(self, autostop, param_str):260        AbstractCriterion.__init__(self)261        self.start_time = time.time()262        self.end_time = time.time()263        self.time_limit = expand_to_seconds(param_str)264    def notify(self, data, stat):265        self.end_time = time.time()266        return (self.end_time - self.start_time) > self.time_limit267    def get_rc(self):268        return self.RC_TIME269    def explain(self):270        return "Test time elapsed. Limit: %ss, actual time: %ss" % (271            self.time_limit, self.end_time - self.start_time)272    def widget_explain(self):273        return "Time limit: %ss, actual time: %ss" % (...

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