How to use __get_timestamp method in SeleniumBase

Best Python code snippet using SeleniumBase

fluentd.py

Source:fluentd.py

...47        '''48        # reset counters49        self.__warning_counter = 050        self.__error_counter = 051        self.runlogdate = self.__get_timestamp()52        # send start record53        self.__send_start_record()54    def emit(self, record):55        data = {56            "loglevel": record.levelname,57            "message": self.formatter.format(record),58            "@timestamp": self.__get_timestamp()59        }60        # if runlogdate is 0, it's a log from server (not an nfvbench run) so do not send runlogdate61        if self.runlogdate != 0:62            data["runlogdate"] = self.runlogdate63        self.__update_stats(record.levelno)64        for log_sender in self.log_senders:65            log_sender.emit(None, data)66    # this function is called by summarizer, and used for sending results67    def record_send(self, record):68        for result_sender in self.result_senders:69            result_sender.emit(None, record)70    # send START log record for each run71    def __send_start_record(self):72        data = {73            "runlogdate": self.runlogdate,74            "loglevel": "START",75            "message": "NFVBENCH run is started",76            "numloglevel": 0,77            "numerrors": 0,78            "numwarnings": 0,79            "@timestamp": self.__get_timestamp()80        }81        for log_sender in self.log_senders:82            log_sender.emit(None, data)83    # send stats related to the current run and reset state for a new run84    def send_run_summary(self, run_summary_required):85        if run_summary_required or self.__get_highest_level() == logging.ERROR:86            data = {87                "loglevel": "RUN_SUMMARY",88                "message": self.__get_highest_level_desc(),89                "numloglevel": self.__get_highest_level(),90                "numerrors": self.__error_counter,91                "numwarnings": self.__warning_counter,92                "@timestamp": self.__get_timestamp()93            }94            # if runlogdate is 0, it's a log from server (not an nfvbench run)95            # so don't send runlogdate96            if self.runlogdate != 0:97                data["runlogdate"] = self.runlogdate98            for log_sender in self.log_senders:99                log_sender.emit(None, data)100    def __get_highest_level(self):101        if self.__error_counter > 0:102            return logging.ERROR103        elif self.__warning_counter > 0:104            return logging.WARNING105        return logging.INFO106    def __get_highest_level_desc(self):107        highest_level = self.__get_highest_level()108        if highest_level == logging.INFO:109            return "GOOD RUN"110        elif highest_level == logging.WARNING:111            return "RUN WITH WARNINGS"112        return "RUN WITH ERRORS"113    def __update_stats(self, levelno):114        if levelno == logging.WARNING:115            self.__warning_counter += 1116        elif levelno == logging.ERROR:117            self.__error_counter += 1118    def __get_timestamp(self):119        return datetime.utcnow().replace(tzinfo=pytz.utc).strftime(...

serialize.py

Source:serialize.py

...12    if model is None or modelclass is None or path is None:13        raise RuntimeError("model, class name or path can not be empty")14    if not os.path.exists(path):15        os.makedirs(path)16    timestamp = __get_timestamp()17    save_name = modelclass + '_' + timestamp + '.pt'18    save_path = os.path.join(path, save_name)19    torch.save(model.state_dict(), save_path)20    return save_path2122def load_module(model, path):23    model.load_state_dict(torch.load(path))24    model.eval()25    return model2627def save_results(results, modelclass, path):28    if not os.path.exists(path):29        os.makedirs(path)30    save_name = modelclass + '_' + __get_timestamp() + '.csv'31    save_path = os.path.join(path, save_name)32    with open(save_path, 'w', newline='') as f:33        writer = csv.writer(f)34        writer.writerows(results)35    return save_path3637def load_results(path):38    results = []39    with open(path, newline='') as f:40        reader = csv.reader(f)41        for result in reader:42            results.append(result)43    return results4445def get_all_results_names():46    # Config parser47    config = configparser.ConfigParser()48    config.read('config.ini')49    config = config['DEFAULT']50    save_path = config['output']51    result_folder = config['results']52    save_path_results = os.path.join(save_path)53    result_list = helper.get_all_files(save_path_results)54    result_list = [x for x in result_list if 'results' in x]55    result_list = [x for x in result_list if '.directory' not in x]56    return result_list5758def __get_timestamp():59    now = datetime.now()60    timestamp = now.strftime("%Y_%m_%d_%H_%M_%S")61    return timestamp6263def exportcsv(dicthitormiss, modelclass, path):64    if not os.path.exists(path):65        os.makedirs(path)66    fname = modelclass + '_' + __get_timestamp() + '.csv'67    save_path = os.path.join(path, fname)68    fieldnames = ['id', 'category']69    with open(save_path, 'w', newline='') as f:70        writer = csv.DictWriter(f, delimiter=',', fieldnames=fieldnames)71        writer.writeheader()72        for key, value in dicthitormiss.items():73            writer.writerow({'id': key, 'category': value})
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utils.py

Source:utils.py

1import math2from datetime import datetime3from typing import Dict, Any4def __get_timestamp(datetime_str: str) -> float:5    datetime_obj = datetime.fromisoformat(datetime_str)6    return datetime_obj.timestamp()7def get_timestamp(datetime_str: str) -> float:8    return __get_timestamp(datetime_str[:-1])9def get_time_from_data(frame_data: Dict[str, Any]) -> float:10    datetime_str = frame_data['rfc460Timestamp'][:-1]11    return __get_timestamp(datetime_str)12def get_iso_time(timestamp: float, normalised: bool = True) -> str:13    if normalised:14        timestamp = math.floor(timestamp / 10) * 1015    datetime_str = datetime.fromtimestamp(timestamp).isoformat()...

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