Python errors.KafkaTimeoutError方法代碼示例

# 需要導入模塊: from kafka import errors [as 別名]
# 或者: from kafka.errors import KafkaTimeoutError [as 別名]
def write(self, name, **data):
        """
        Write the metric to kafka

        Args:
            name (str): The name of the metric to write
            data (dict): Additional data to store with the metric
        """

        data["name"] = name
        if not ("timestamp" in data):
            data["timestamp"] = datetime.utcnow()

        try:
            self.producer.send(topic=self.topic, value=data)
            self.producer.flush()
        except (KafkaTimeoutError, NoBrokersAvailable) as exc:
            logger.warning('writing metric %r failure %r', data, exc) 

# 需要導入模塊: from kafka import errors [as 別名]
# 或者: from kafka.errors import KafkaTimeoutError [as 別名]
def send(self, logentry):
        try:
            # send() has a (max_block_ms) timeout and get() has a (max_block_ms) timeout
            # for an upper bound of 2x(max_block_ms) before guaranteed delivery
            future = self._producer.send(
                self.topic, logentry.to_dict(), timestamp_ms=epoch_ms(logentry.datetime)
            )
            record_metadata = future.get(timeout=self.max_block_ms)
            assert future.succeeded
        except KafkaTimeoutError as kte:
            logger.exception("KafkaLogsProducer timeout sending log to Kafka: %s", kte)
            raise LogSendException("KafkaLogsProducer timeout sending log to Kafka: %s" % kte)
        except KafkaError as ke:
            logger.exception("KafkaLogsProducer error sending log to Kafka: %s", ke)
            raise LogSendException("KafkaLogsProducer error sending log to Kafka: %s" % ke)
        except Exception as e:
            logger.exception("KafkaLogsProducer exception sending log to Kafka: %s", e)
            raise LogSendException("KafkaLogsProducer exception sending log to Kafka: %s" % e) 

# 需要導入模塊: from kafka import errors [as 別名]
# 或者: from kafka.errors import KafkaTimeoutError [as 別名]
def process_item(self, item, spider):
        try:
            self.logger.debug("Processing item in KafkaPipeline")
            datum = dict(item)
            datum["timestamp"] = self._get_time()
            prefix = self.topic_prefix

            try:
                if self.use_base64:
                    datum['body'] = base64.b64encode(bytes(datum['body'], 'utf-8'))
                message = ujson.dumps(datum, sort_keys=True)
            except:
                message = 'json failed to parse'

            firehose_topic = "{prefix}.crawled_firehose".format(prefix=prefix)
            future = self.producer.send(firehose_topic, message)
            future.add_callback(self._kafka_success, datum, spider)
            future.add_errback(self._kafka_failure, datum, spider)

            if self.appid_topics:
                appid_topic = "{prefix}.crawled_{appid}".format(
                        prefix=prefix, appid=datum["appid"])
                future2 = self.producer.send(appid_topic, message)
                future2.add_callback(self._kafka_success, datum, spider)
                future2.add_errback(self._kafka_failure, datum, spider)

        except KafkaTimeoutError:
            self.logger.warning("Caught KafkaTimeoutError exception")

        return item 

# 需要導入模塊: from kafka import errors [as 別名]
# 或者: from kafka.errors import KafkaTimeoutError [as 別名]
def test_process_item(self, e):
        item = self._get_item()
        spider = MagicMock()
        spider.name = "link"

        # test normal send, no appid topics
        self.pipe.process_item(item, spider)
        expected = '{"appid":"app","attrs":{},"body":"text","crawlid":"crawlid","links":[],"request_headers":{},"response_headers":{},"response_url":"http:\\/\\/dumb.com","status_code":200,"status_msg":"OK","timestamp":"the time","url":"http:\\/\\/dumb.com"}'
        self.pipe.producer.send.assert_called_once_with('prefix.crawled_firehose',
                                                        expected)
        self.pipe.producer.send.reset_mock()

        # test normal send, with appids
        item = self._get_item()
        self.pipe.appid_topics = True
        self.pipe.process_item(item, spider)
        self.pipe.producer.send.assert_called_with('prefix.crawled_app',
                                                    expected)
        self.pipe.producer.send.reset_mock()

        # test base64 encode
        item = self._get_item()
        self.pipe.appid_topics = False
        self.pipe.use_base64 = True
        self.pipe.process_item(item, spider)
        expected = '{"appid":"app","attrs":{},"body":"dGV4dA==","crawlid":"crawlid","links":[],"request_headers":{},"response_headers":{},"response_url":"http:\\/\\/dumb.com","status_code":200,"status_msg":"OK","timestamp":"the time","url":"http:\\/\\/dumb.com"}'
        self.pipe.producer.send.assert_called_once_with('prefix.crawled_firehose',
                                                        expected)

        # test kafka exception
        item = self._get_item()
        copy = deepcopy(item)
        copy['success'] = False
        copy['exception'] = 'traceback'

        # send should not crash the pipeline
        self.pipe.producer.send = MagicMock(side_effect=KafkaTimeoutError('bad kafka'))
        ret_val = self.pipe.process_item(item, spider) 

# 需要導入模塊: from kafka import errors [as 別名]
# 或者: from kafka.errors import KafkaTimeoutError [as 別名]
def bulk_write(self, metrics):
        """
        Write multiple metrics to kafka in one request

        Args:
            metrics (list):
        """
        try:
            for metric in metrics:
                self.producer.send(self.topic, metric)
            self.producer.flush()
        except (KafkaTimeoutError, NoBrokersAvailable) as exc:
            logger.warning('bulk_write metrics %r failure %r', metrics, exc) 

# 需要導入模塊: from kafka import errors [as 別名]
# 或者: from kafka.errors import KafkaTimeoutError [as 別名]
def test_write_error_warning(self, mocked_logger):
        transport_error = KafkaTimeoutError('mocked error')
        es_index_error_ctx = mock.patch(
            'time_execution.backends.kafka.KafkaProducer.send', side_effect=transport_error
        )
        frozen_time_ctx = freeze_time('2016-07-13')

        with es_index_error_ctx, frozen_time_ctx:
            self.backend.write(name='test:metric', value=None)
            mocked_logger.warning.assert_called_once_with(
                'writing metric %r failure %r',
                {'timestamp': datetime(2016, 7, 13), 'value': None, 'name': 'test:metric'},
                transport_error,
            ) 

# 需要導入模塊: from kafka import errors [as 別名]
# 或者: from kafka.errors import KafkaTimeoutError [as 別名]
def test_bulk_write_error(self, mocked_logger):
        transport_error = KafkaTimeoutError('mocked error')
        es_index_error_ctx = mock.patch(
            'time_execution.backends.kafka.KafkaProducer.send', side_effect=transport_error
        )
        metrics = [1, 2, 3]
        with es_index_error_ctx:
            self.backend.bulk_write(metrics)
            mocked_logger.warning.assert_called_once_with('bulk_write metrics %r failure %r', metrics, transport_error) 

# 需要導入模塊: from kafka import errors [as 別名]
# 或者: from kafka.errors import KafkaTimeoutError [as 別名]
def getResultForException(e):
    if isinstance(e, KafkaTimeoutError):
        return {'error': 'Timed out communicating with Message Hub'}
    elif isinstance(e, AuthenticationFailedError):
        return {'error': 'Authentication failed'}
    elif isinstance(e, NoBrokersAvailable):
        return {'error': 'No brokers available. Check that your supplied brokers are correct and available.'}
    else:
        return {'error': '{}'.format(e)} 

# 需要導入模塊: from kafka import errors [as 別名]
# 或者: from kafka.errors import KafkaTimeoutError [as 別名]
def produce_message(self, *, topic: str, key: bytes, value: bytes, partition: int = None) -> dict:
        prod = None
        try:
            prod = await self.get_producer()
            result = await asyncio.wait_for(
                fut=prod.send_and_wait(topic, key=key, value=value, partition=partition),
                loop=self.loop,
                timeout=self.kafka_timeout
            )
            return {
                "offset": result.offset if result else -1,
                "partition": result.topic_partition.partition if result else 0
            }
        except AssertionError as e:
            self.log.exception("Invalid data")
            return {"error_code": 1, "error": str(e)}
        except (KafkaTimeoutError, asyncio.TimeoutError):
            self.log.exception("Timed out waiting for publisher")
            # timeouts are retriable
            return {"error_code": 1, "error": "timed out waiting to publish message"}
        except BrokerResponseError as e:
            self.log.exception(e)
            resp = {"error_code": 1, "error": e.description}
            if hasattr(e, "retriable") and e.retriable:
                resp["error_code"] = 2
            return resp
        finally:
            if prod:
                await self.producer_queue.put(prod)