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How to use _prepare_logger method in localstack

Best Python code snippet using localstack_python

logging.py

Source:logging.py

...38            return39        self._log(context, response)40    @cached_property41    def aws_logger(self):42        return self._prepare_logger(43            logging.getLogger("localstack.request.aws"), formatter=AwsTraceLoggingFormatter44        )45    @cached_property46    def http_logger(self):47        return self._prepare_logger(48            logging.getLogger("localstack.request.http"), formatter=TraceLoggingFormatter49        )50    @cached_property51    def internal_aws_logger(self):52        return self._prepare_logger(53            logging.getLogger("localstack.request.internal.aws"), formatter=AwsTraceLoggingFormatter54        )55    @cached_property56    def internal_http_logger(self):57        return self._prepare_logger(58            logging.getLogger("localstack.request.internal.http"), formatter=TraceLoggingFormatter59        )60    # make sure loggers are loaded after logging config is loaded61    def _prepare_logger(self, logger: logging.Logger, formatter: Type):62        if logger.isEnabledFor(logging.DEBUG):63            logger.propagate = False64            handler = create_default_handler(logger.level)65            handler.setFormatter(formatter())66            logger.addHandler(handler)67        return logger68    def _log(self, context: RequestContext, response: Response):69        aws_logger = self.aws_logger70        http_logger = self.http_logger71        is_internal_call = is_internal_call_context(context.request.headers)72        if is_internal_call:73            aws_logger = self.internal_aws_logger74            http_logger = self.internal_http_logger75        if context.operation:...

common.py

Source:common.py

...10    def init_adapter(self):11        pass12    def __init__(self, spark=None, init_conf=None):13        self.spark = self._prepare_spark(spark)14        self.logger = self._prepare_logger()15        if init_conf:16            self.conf = init_conf17        else:18            self.conf = self._provide_config()19        self.init_adapter()20        self._log_conf()21    @staticmethod22    def _prepare_spark(spark) -> SparkSession:23        if not spark:24            return SparkSession.builder.getOrCreate()25        else:26            return spark27    def _provide_config(self):28        self.logger.info("Reading configuration from --conf-file job option")29        conf_file = self._get_conf_file()30        if not conf_file:31            self.logger.info('No conf file was provided, setting configuration to empty dict.'32                             'Please override configuration in subclass init method')33            return {}34        else:35            self.logger.info(f"Conf file was provided, reading configuration from {conf_file}")36            return self._read_config(conf_file)37    @staticmethod38    def _get_conf_file():39        p = ArgumentParser()40        p.add_argument("--conf-file", required=False, type=str)41        namespace = p.parse_known_args()[0]42        return namespace.conf_file43    def _read_config(self, conf_file) -> Dict[str, Any]:44        raw_content = "".join(self.spark.read.format("text").load(conf_file).toPandas()["value"].tolist())45        config = json.loads(raw_content)46        return config47    def _prepare_logger(self) -> Logger:48        log4j_logger = self.spark._jvm.org.apache.log4j49        return log4j_logger.LogManager.getLogger(self.__class__.__name__)50    def _log_conf(self):51        # log parameters52        self.logger.info("Launching job with configuration parameters:")53        for key, item in self.conf.items():54            self.logger.info("\t Parameter: %-30s with value => %-30s" % (key, item))55    @abstractmethod56    def launch(self):...

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