Unlock 30% off on Manual Testing Annual Plans this Holiday Season.
Copied to Clipboard!
How to use _cache_response_times method in locust

Best Python code snippet using locust
stats.py
Source:stats.py
...207        self.num_reqs_per_sec = {}208        self.total_content_length = 0209        if self.use_response_times_cache:210            self.response_times_cache = OrderedDict()211            self._cache_response_times(int(time.time()))212    213    def log(self, response_time, content_length):214        # get the time215        t = int(time.time())216        217        if self.use_response_times_cache and self.last_request_timestamp and t > self.last_request_timestamp:218            # see if we shall make a copy of the respone_times dict and store in the cache219            self._cache_response_times(t-1)220        221        self.num_requests += 1222        self._log_time_of_request(t)223        self._log_response_time(response_time)224        # increase total content-length225        self.total_content_length += content_length226    def _log_time_of_request(self, t):227        self.num_reqs_per_sec[t] = self.num_reqs_per_sec.setdefault(t, 0) + 1228        self.last_request_timestamp = t229    def _log_response_time(self, response_time):230        self.total_response_time += response_time231        if self.min_response_time is None:232            self.min_response_time = response_time233        self.min_response_time = min(self.min_response_time, response_time)234        self.max_response_time = max(self.max_response_time, response_time)235        # to avoid to much data that has to be transfered to the master node when236        # running in distributed mode, we save the response time rounded in a dict237        # so that 147 becomes 150, 3432 becomes 3400 and 58760 becomes 59000238        if response_time < 100:239            rounded_response_time = response_time240        elif response_time < 1000:241            rounded_response_time = int(round(response_time, -1))242        elif response_time < 10000:243            rounded_response_time = int(round(response_time, -2))244        else:245            rounded_response_time = int(round(response_time, -3))246        # increase request count for the rounded key in response time dict247        self.response_times.setdefault(rounded_response_time, 0)248        self.response_times[rounded_response_time] += 1249        # extra logic for data export250        self.response_timestamps.append(time.time())251        self.response_times_precise.append(response_time)252    def log_error(self, error):253        self.num_failures += 1254    @property255    def fail_ratio(self):256        try:257            return float(self.num_failures) / (self.num_requests + self.num_failures)258        except ZeroDivisionError:259            if self.num_failures > 0:260                return 1.0261            else:262                return 0.0263    @property264    def avg_response_time(self):265        try:266            return float(self.total_response_time) / self.num_requests267        except ZeroDivisionError:268            return 0269    @property270    def median_response_time(self):271        if not self.response_times:272            return 0273        return median_from_dict(self.num_requests, self.response_times)274    @property275    def current_rps(self):276        if self.stats.last_request_timestamp is None:277            return 0278        slice_start_time = max(self.stats.last_request_timestamp - 12, int(self.stats.start_time or 0))279        reqs = [self.num_reqs_per_sec.get(t, 0) for t in range(slice_start_time, self.stats.last_request_timestamp-2)]280        return avg(reqs)281    @property282    def total_rps(self):283        if not self.stats.last_request_timestamp or not self.stats.start_time:284            return 0.0285        return self.num_requests / max(self.stats.last_request_timestamp - self.stats.start_time, 1)286    @property287    def avg_content_length(self):288        try:289            return self.total_content_length / self.num_requests290        except ZeroDivisionError:291            return 0292    293    def extend(self, other):294        """295        Extend the data from the current StatsEntry with the stats from another296        StatsEntry instance. 297        """298        self.last_request_timestamp = max(self.last_request_timestamp, other.last_request_timestamp)299        self.start_time = min(self.start_time, other.start_time)300        self.num_requests = self.num_requests + other.num_requests301        self.num_failures = self.num_failures + other.num_failures302        self.total_response_time = self.total_response_time + other.total_response_time303        self.max_response_time = max(self.max_response_time, other.max_response_time)304        self.min_response_time = min(self.min_response_time or 0, other.min_response_time or 0) or other.min_response_time305        self.total_content_length = self.total_content_length + other.total_content_length306        for key in other.response_times:307            self.response_times[key] = self.response_times.get(key, 0) + other.response_times[key]308        for key in other.num_reqs_per_sec:309            self.num_reqs_per_sec[key] = self.num_reqs_per_sec.get(key, 0) +  other.num_reqs_per_sec[key]310    311    def serialize(self):312        return {313            "name": self.name,314            "method": self.method,315            "last_request_timestamp": self.last_request_timestamp,316            "start_time": self.start_time,317            "num_requests": self.num_requests,318            "num_failures": self.num_failures,319            "total_response_time": self.total_response_time,320            "max_response_time": self.max_response_time,321            "min_response_time": self.min_response_time,322            "total_content_length": self.total_content_length,323            "response_times": self.response_times,324            "num_reqs_per_sec": self.num_reqs_per_sec,325        }326    327    @classmethod328    def unserialize(cls, data):329        obj = cls(None, data["name"], data["method"])330        for key in [331            "last_request_timestamp",332            "start_time",333            "num_requests",334            "num_failures",335            "total_response_time",336            "max_response_time",337            "min_response_time",338            "total_content_length",339            "response_times",340            "num_reqs_per_sec",341        ]:342            setattr(obj, key, data[key])343        return obj344    345    def get_stripped_report(self):346        """347        Return the serialized version of this StatsEntry, and then clear the current stats.348        """349        report = self.serialize()350        self.reset()351        return report352    def __str__(self):353        try:354            fail_percent = (self.num_failures/float(self.num_requests + self.num_failures))*100355        except ZeroDivisionError:356            fail_percent = 0357        358        return (" %-" + str(STATS_NAME_WIDTH) + "s %7d %12s %7d %7d %7d  | %7.2f %7.2f") % (359            (self.method and self.method + " " or "") + self.name,360            self.num_requests,361            "%d(%.2f%%)" % (self.num_failures, fail_percent),362            self.avg_response_time,363            self.min_response_time or 0,364            self.max_response_time,365            self.median_response_time or 0,366            self.current_rps or 0367        )368    369    def get_response_time_percentile(self, percent):370        """371        Get the response time that a certain number of percent of the requests372        finished within.373        374        Percent specified in range: 0.0 - 1.0375        """376        return calculate_response_time_percentile(self.response_times, self.num_requests, percent)377    378    def get_current_response_time_percentile(self, percent):379        """380        Calculate the *current* response time for a certain percentile. We use a sliding 381        window of (approximately) the last 10 seconds (specified by CURRENT_RESPONSE_TIME_PERCENTILE_WINDOW) 382        when calculating this.383        """384        if not self.use_response_times_cache:385            raise ValueError("StatsEntry.use_response_times_cache must be set to True if we should be able to calculate the _current_ response time percentile")386        # First, we want to determine which of the cached response_times dicts we should 387        # use to get response_times for approximately 10 seconds ago. 388        t = int(time.time())389        # Since we can't be sure that the cache contains an entry for every second. 390        # We'll construct a list of timestamps which we consider acceptable keys to be used 391        # when trying to fetch the cached response_times. We construct this list in such a way 392        # that it's ordered by preference by starting to add t-10, then t-11, t-9, t-12, t-8, 393        # and so on394        acceptable_timestamps = []395        for i in xrange(9):396            acceptable_timestamps.append(t-CURRENT_RESPONSE_TIME_PERCENTILE_WINDOW-i)397            acceptable_timestamps.append(t-CURRENT_RESPONSE_TIME_PERCENTILE_WINDOW+i)398        399        cached = None400        for ts in acceptable_timestamps:401            if ts in self.response_times_cache:402                cached = self.response_times_cache[ts]403                break404        405        if cached:406            # If we fond an acceptable cached response times, we'll calculate a new response 407            # times dict of the last 10 seconds (approximately) by diffing it with the current 408            # total response times. Then we'll use that to calculate a response time percentile 409            # for that timeframe410            return calculate_response_time_percentile(411                diff_response_time_dicts(self.response_times, cached.response_times), 412                self.num_requests - cached.num_requests, 413                percent,414            )415    416    def percentile(self, tpl=" %-" + str(STATS_NAME_WIDTH) + "s %8d %6d %6d %6d %6d %6d %6d %6d %6d %6d"):417        if not self.num_requests:418            raise ValueError("Can't calculate percentile on url with no successful requests")419        420        return tpl % (421            (self.method and self.method + " " or "") + self.name,422            self.num_requests,423            self.get_response_time_percentile(0.5),424            self.get_response_time_percentile(0.66),425            self.get_response_time_percentile(0.75),426            self.get_response_time_percentile(0.80),427            self.get_response_time_percentile(0.90),428            self.get_response_time_percentile(0.95),429            self.get_response_time_percentile(0.98),430            self.get_response_time_percentile(0.99),431            self.get_response_time_percentile(1.00)432        )433    434    def _cache_response_times(self, t):435        self.response_times_cache[t] = CachedResponseTimes(436            response_times=copy(self.response_times),437            num_requests=self.num_requests,438        )439        440        441        # We'll use a cache size of CURRENT_RESPONSE_TIME_PERCENTILE_WINDOW + 10 since - in the extreme case -442        # we might still use response times (from the cache) for t-CURRENT_RESPONSE_TIME_PERCENTILE_WINDOW-10 443        # to calculate the current response time percentile, if we're missing cached values for the subsequent 444        # 20 seconds445        cache_size = CURRENT_RESPONSE_TIME_PERCENTILE_WINDOW + 10446        447        if len(self.response_times_cache) > cache_size:448            # only keep the latest 20 response_times dicts449            for i in xrange(len(self.response_times_cache) - cache_size):450                self.response_times_cache.popitem(last=False)451class StatsError(object):452    def __init__(self, method, name, error, occurences=0):453        self.method = method454        self.name = name455        self.error = error456        self.occurences = occurences457    @classmethod458    def parse_error(cls, error):459        string_error = repr(error)460        target = "object at 0x"461        target_index = string_error.find(target)462        if target_index < 0:463            return string_error464        start = target_index + len(target) - 2465        end = string_error.find(">", start)466        if end < 0:467            return string_error468        hex_address = string_error[start:end]469        return string_error.replace(hex_address, "0x....")470    @classmethod471    def create_key(cls, method, name, error):472        key = "%s.%s.%r" % (method, name, StatsError.parse_error(error))473        return hashlib.md5(key.encode('utf-8')).hexdigest()474    def occured(self):475        self.occurences += 1476    def to_name(self):477        return "%s %s: %r" % (self.method, 478            self.name, repr(self.error))479    def to_dict(self):480        return {481            "method": self.method,482            "name": self.name,483            "error": StatsError.parse_error(self.error),484            "occurences": self.occurences485        }486    @classmethod487    def from_dict(cls, data):488        return cls(489            data["method"], 490            data["name"], 491            data["error"], 492            data["occurences"]493        )494def avg(values):495    return sum(values, 0.0) / max(len(values), 1)496def median_from_dict(total, count):497    """498    total is the number of requests made499    count is a dict {response_time: count}500    """501    pos = (total - 1) / 2502    for k in sorted(six.iterkeys(count)):503        if pos < count[k]:504            return k505        pos -= count[k]506global_stats = RequestStats()507"""508A global instance for holding the statistics. Should be removed eventually.509"""510def on_request_success(request_type, name, response_time, response_length):511    global_stats.log_request(request_type, name, response_time, response_length)512def on_request_failure(request_type, name, response_time, exception):513    global_stats.log_error(request_type, name, exception)514def on_report_to_master(client_id, data):515    data["stats"] = global_stats.serialize_stats()516    data["stats_total"] = global_stats.total.get_stripped_report()517    data["errors"] =  global_stats.serialize_errors()518    global_stats.errors = {}519def on_slave_report(client_id, data):520    for stats_data in data["stats"]:521        entry = StatsEntry.unserialize(stats_data)522        request_key = (entry.name, entry.method)523        if not request_key in global_stats.entries:524            global_stats.entries[request_key] = StatsEntry(global_stats, entry.name, entry.method)525        global_stats.entries[request_key].extend(entry)526    for error_key, error in six.iteritems(data["errors"]):527        if error_key not in global_stats.errors:528            global_stats.errors[error_key] = StatsError.from_dict(error)529        else:530            global_stats.errors[error_key].occurences += error["occurences"]531    532    # save the old last_request_timestamp, to see if we should store a new copy533    # of the response times in the response times cache534    old_last_request_timestamp = global_stats.total.last_request_timestamp535    # update the total StatsEntry536    global_stats.total.extend(StatsEntry.unserialize(data["stats_total"]))537    if global_stats.total.last_request_timestamp > old_last_request_timestamp:538        # If we've entered a new second, we'll cache the response times. Note that there 539        # might still be reports from other slave nodes - that contains requests for the same 540        # time periods - that hasn't been received/accounted for yet. This will cause the cache to 541        # lag behind a second or two, but since StatsEntry.current_response_time_percentile() 542        # (which is what the response times cache is used for) uses an approximation of the 543        # last 10 seconds anyway, it should be fine to ignore this. 544        global_stats.total._cache_response_times(global_stats.total.last_request_timestamp)545    546events.request_success += on_request_success547events.request_failure += on_request_failure548events.report_to_master += on_report_to_master549events.slave_report += on_slave_report550def print_stats(stats):551    console_logger.info((" %-" + str(STATS_NAME_WIDTH) + "s %7s %12s %7s %7s %7s  | %7s %7s") % ('Name', '# reqs', '# fails', 'Avg', 'Min', 'Max', 'Median', 'req/s'))552    console_logger.info("-" * (80 + STATS_NAME_WIDTH))553    total_rps = 0554    total_reqs = 0555    total_failures = 0556    for key in sorted(six.iterkeys(stats)):557        r = stats[key]558        total_rps += r.current_rps...
Automation Testing Tutorials

Learn to execute automation testing from scratch with LambdaTest Learning Hub. Right from setting up the prerequisites to run your first automation test, to following best practices and diving deeper into advanced test scenarios. LambdaTest Learning Hubs compile a list of step-by-step guides to help you be proficient with different test automation frameworks i.e. Selenium, Cypress, TestNG etc.