Python exceptions.TimeoutError方法代码示例

# 需要导入模块: from redis import exceptions [as 别名]
# 或者: from redis.exceptions import TimeoutError [as 别名]
def execute_command(self, *args, **options):
        pool = self.connection_pool
        command_name = args[0]
        command_args = args[1:]
        router = self.connection_pool.cluster.get_router()
        host_id = router.get_host_for_command(command_name, command_args)
        connection = pool.get_connection(command_name, shard_hint=host_id)
        try:
            connection.send_command(*args)
            return self.parse_response(connection, command_name, **options)
        except (ConnectionError, TimeoutError) as e:
            connection.disconnect()
            if not connection.retry_on_timeout and isinstance(e, TimeoutError):
                raise
            connection.send_command(*args)
            return self.parse_response(connection, command_name, **options)
        finally:
            pool.release(connection)

    # Custom Public API 

# 需要导入模块: from redis import exceptions [as 别名]
# 或者: from redis.exceptions import TimeoutError [as 别名]
def set(self, key, value, ttl):
        """
        Set the value for a key. Dark writes to the backup in-memory store are always performed
        to synchronize the state of the in-memory store with Redis, so that read failovers do not
        sacrifice the consistency of the underlying data.

        :param key: Raw key.
        :param value: Associated value.
        :param ttl: Time to live, in milliseconds.
        """
        try:
            return self.redis.set(key, value, px=ttl)
        except (ConnectionError, TimeoutError):
            pass
        finally:
            return self.memory.set(key, value, ttl) 

# 需要导入模块: from redis import exceptions [as 别名]
# 或者: from redis.exceptions import TimeoutError [as 别名]
def _current_id(self, value):
        futures, num_masters_set = set(), 0
        with concurrent.futures.ThreadPoolExecutor() as executor:
            for master in self.masters:
                future = executor.submit(
                    self._set_id_script,
                    keys=(self.key,),
                    args=(value,),
                    client=master,
                )
                futures.add(future)
            for future in concurrent.futures.as_completed(futures):
                with contextlib.suppress(TimeoutError, ConnectionError):
                    num_masters_set += future.result() == value
        if num_masters_set < len(self.masters) // 2 + 1:
            raise QuorumNotAchieved(self.masters, self.key) 

# 需要导入模块: from redis import exceptions [as 别名]
# 或者: from redis.exceptions import TimeoutError [as 别名]
def _acquire_masters(self):
        self._value = os.urandom(self.num_random_bytes)
        self._extension_num = 0
        futures, num_masters_acquired = set(), 0
        with ContextTimer() as timer, \
             concurrent.futures.ThreadPoolExecutor() as executor:
            for master in self.masters:
                futures.add(executor.submit(self._acquire_master, master))
            for future in concurrent.futures.as_completed(futures):
                with contextlib.suppress(TimeoutError, ConnectionError):
                    num_masters_acquired += future.result()
            quorum = num_masters_acquired >= len(self.masters) // 2 + 1
            elapsed = timer.elapsed() - self._drift()
            validity_time = self.auto_release_time - elapsed
        if quorum and max(validity_time, 0):
            return True
        else:
            with contextlib.suppress(ReleaseUnlockedLock):
                self.release()
            return False 

# 需要导入模块: from redis import exceptions [as 别名]
# 或者: from redis.exceptions import TimeoutError [as 别名]
def get(self, key):
        if self.timeout:
            raise TimeoutError
        else:
            return super(PanoptesMockRedis, self).get(key) 

# 需要导入模块: from redis import exceptions [as 别名]
# 或者: from redis.exceptions import TimeoutError [as 别名]
def set(self, key, value, ex=None, px=None, nx=False, xx=False):
        if self.timeout:
            raise TimeoutError
        else:
            return super(PanoptesMockRedis, self).set(key, value, ex=ex, px=px, nx=nx, xx=xx) 

# 需要导入模块: from redis import exceptions [as 别名]
# 或者: from redis.exceptions import TimeoutError [as 别名]
def test_context_key_value_store_timeout(self):
        panoptes_context = PanoptesContext(self.panoptes_test_conf_file,
                                           key_value_store_class_list=[PanoptesTestKeyValueStore])
        kv = panoptes_context.get_kv_store(PanoptesTestKeyValueStore)
        with self.assertRaises(TimeoutError):
            kv.set(u'test', u'test')
        with self.assertRaises(TimeoutError):
            kv.get(u'test') 

# 需要导入模块: from redis import exceptions [as 别名]
# 或者: from redis.exceptions import TimeoutError [as 别名]
def send_buffer(self):
        """Utility function that sends the buffer into the provided socket.
        The buffer itself will slowly clear out and is modified in place.
        """
        buf = self._send_buf
        sock = self.connection._sock
        try:
            timeout = sock.gettimeout()
            sock.setblocking(False)
            try:
                for idx, item in enumerate(buf):
                    sent = 0
                    while 1:
                        try:
                            sent = sock.send(item)
                        except IOError as e:
                            if e.errno == errno.EAGAIN:
                                continue
                            elif e.errno == errno.EWOULDBLOCK:
                                break
                            raise
                        self.sent_something = True
                        break
                    if sent < len(item):
                        buf[:idx + 1] = [item[sent:]]
                        break
                else:
                    del buf[:]
            finally:
                sock.settimeout(timeout)
        except IOError as e:
            self.connection.disconnect()
            if isinstance(e, socket.timeout):
                raise TimeoutError('Timeout writing to socket (host %s)'
                                   % self.host_id)
            raise ConnectionError('Error while writing to socket (host %s): %s'
                                  % (self.host_id, e)) 

# 需要导入模块: from redis import exceptions [as 别名]
# 或者: from redis.exceptions import TimeoutError [as 别名]
def join(self, timeout=None):
        """Waits for all outstanding responses to come back or the timeout
        to be hit.
        """
        remaining = timeout

        while self._cb_poll and (remaining is None or remaining > 0):
            now = time.time()
            rv = self._cb_poll.poll(remaining)
            if remaining is not None:
                remaining -= (time.time() - now)

            for command_buffer, event in rv:
                # This command buffer still has pending requests which
                # means we have to send them out first before we can read
                # all the data from it.
                if command_buffer.has_pending_requests:
                    if event == 'close':
                        self._try_reconnect(command_buffer)
                    elif event == 'write':
                        self._send_or_reconnect(command_buffer)

                # The general assumption is that all response is available
                # or this might block.  On reading we do not use async
                # receiving.  This generally works because latency in the
                # network is low and redis is super quick in sending.  It
                # does not make a lot of sense to complicate things here.
                elif event in ('read', 'close'):
                    try:
                        command_buffer.wait_for_responses(self)
                    finally:
                        self._release_command_buffer(command_buffer)

        if self._cb_poll and timeout is not None:
            raise TimeoutError('Did not receive all data in time.') 

# 需要导入模块: from redis import exceptions [as 别名]
# 或者: from redis.exceptions import TimeoutError [as 别名]
def get(self, key):
        """
        Get the value for a key, prioritizing Redis if available.

        :param key: Raw key.
        :return: Associated value.
        """
        try:
            return self.redis.get(key)
        except (ConnectionError, TimeoutError):
            return self.memory.get(key) 

# 需要导入模块: from redis import exceptions [as 别名]
# 或者: from redis.exceptions import TimeoutError [as 别名]
def delete(self, key):
        """
        Invalidate a cache entry. Like the other write operation set(), dark writes are always
        performed to keep the in-memory cache consistent with Redis in the event of a failover.

        :param key: Raw key.
        """
        try:
            return self.redis.delete(key)
        except (ConnectionError, TimeoutError):
            pass
        finally:
            return self.memory.delete(key) 

# 需要导入模块: from redis import exceptions [as 别名]
# 或者: from redis.exceptions import TimeoutError [as 别名]
def _data_throttler(self):
        from redis.exceptions import TimeoutError as QueueTimeoutError

        def run():
            redis = self._get_redis()
            last_processed_batch_timestamp = None
            data = {}

            try:
                while True:
                    try:
                        new_data = ast.literal_eval(
                            redis.blpop(self._DATA_THROTTLER_QUEUE)[1].decode('utf-8'))

                        for (key, value) in new_data.items():
                            data.setdefault(key, []).append(value)
                    except QueueTimeoutError:
                        pass

                    if data and (last_processed_batch_timestamp is None or
                                 time.time() - last_processed_batch_timestamp >= self.throttle_seconds):
                        last_processed_batch_timestamp = time.time()
                        self.logger.info('Processing feeds batch for Adafruit IO')

                        for (feed, values) in data.items():
                            if values:
                                value = statistics.mean(values)

                                try:
                                    self.send(feed, value, enqueue=False)
                                except ThrottlingError:
                                    self.logger.warning('Adafruit IO throttling threshold hit, taking a nap ' +
                                                        'before retrying')
                                    time.sleep(self.throttle_seconds)

                        data = {}
            except Exception as e:
                self.logger.exception(e)

        return run 

# 需要导入模块: from redis import exceptions [as 别名]
# 或者: from redis.exceptions import TimeoutError [as 别名]
def redis(self, operation, *args, **kwargs):
        try:
            return getattr(self.redis_queue, operation)(*args, **kwargs)
        except (ConnectionError, TimeoutError) as exc:
            self.log("error", f"Redis Queue Unreachable ({exc})", change_log=False) 

# 需要导入模块: from redis import exceptions [as 别名]
# 或者: from redis.exceptions import TimeoutError [as 别名]
def _translate_failures():
    """Translates common redis exceptions into taskflow exceptions."""
    try:
        yield
    except redis_exceptions.ConnectionError:
        exc.raise_with_cause(exc.JobFailure, "Failed to connect to redis")
    except redis_exceptions.TimeoutError:
        exc.raise_with_cause(exc.JobFailure,
                             "Failed to communicate with redis, connection"
                             " timed out")
    except redis_exceptions.RedisError:
        exc.raise_with_cause(exc.JobFailure,
                             "Failed to communicate with redis,"
                             " internal error") 

# 需要导入模块: from redis import exceptions [as 别名]
# 或者: from redis.exceptions import TimeoutError [as 别名]
def extend(self):
        '''Extend our hold on the lock (if we currently hold it).

        Usage:

            >>> printer_lock = Redlock(key='printer')
            >>> printer_lock.acquire()
            True
            >>> 9 * 1000 < printer_lock.locked() < 10 * 1000
            True
            >>> time.sleep(1)
            >>> 8 * 1000 < printer_lock.locked() < 9 * 1000
            True
            >>> printer_lock.extend()
            True
            >>> 9 * 1000 < printer_lock.locked() < 10 * 1000
            True
            >>> printer_lock.release()
        '''
        if self._extension_num >= self.num_extensions:
            raise TooManyExtensions(self.masters, self.key)
        else:
            futures, num_masters_extended = set(), 0
            with concurrent.futures.ThreadPoolExecutor() as executor:
                for master in self.masters:
                    futures.add(executor.submit(self._extend_master, master))
                for future in concurrent.futures.as_completed(futures):
                    with contextlib.suppress(TimeoutError, ConnectionError):
                        num_masters_extended += future.result()
            quorum = num_masters_extended >= len(self.masters) // 2 + 1
            self._extension_num += quorum
            return quorum