Python tornado.gen方法代碼示例

# 需要導入模塊: import tornado [as 別名]
# 或者: from tornado import gen [as 別名]
def retry(*dargs, **dkw):  # noqa
    """Wrap a function with a new `Retrying` object.

    :param dargs: positional arguments passed to Retrying object
    :param dkw: keyword arguments passed to the Retrying object
    """
    # support both @retry and @retry() as valid syntax
    if len(dargs) == 1 and callable(dargs[0]):
        return retry()(dargs[0])
    else:
        def wrap(f):
            if iscoroutinefunction is not None and iscoroutinefunction(f):
                r = AsyncRetrying(*dargs, **dkw)
            elif tornado and hasattr(tornado.gen, 'is_coroutine_function') \
                    and tornado.gen.is_coroutine_function(f):
                r = TornadoRetrying(*dargs, **dkw)
            else:
                r = Retrying(*dargs, **dkw)

            return r.wraps(f)

        return wrap 

# 需要導入模塊: import tornado [as 別名]
# 或者: from tornado import gen [as 別名]
def read_full(stream):
    """Read the full contents of the given stream into memory.

    :return:
        A future containing the complete stream contents.
    """
    assert stream, "stream is required"

    chunks = []
    chunk = yield stream.read()

    while chunk:
        if six.PY3 and isinstance(chunk, str):
            chunk = chunk.encode('utf8')
        chunks.append(chunk)
        chunk = yield stream.read()

    raise tornado.gen.Return(b''.join(chunks)) 

# 需要導入模塊: import tornado [as 別名]
# 或者: from tornado import gen [as 別名]
def read(self):
        if self.exception:
            raise self.exception

        if self.state == StreamState.completed or self._rpipe is None:
            raise tornado.gen.Return(b"")
        elif self.state == StreamState.init:
            self.state = StreamState.streaming

        chunk = b""
        try:
            chunk = yield self._rs.read_bytes(
                common.MAX_PAYLOAD_SIZE, partial=True)

        except StreamClosedError:
            # reach the end of the pipe stream
            self.state = StreamState.completed
        finally:
            if self.exception:
                raise self.exception
            raise tornado.gen.Return(chunk) 

# 需要導入模塊: import tornado [as 別名]
# 或者: from tornado import gen [as 別名]
def pytest_pyfunc_call(pyfuncitem):
    gen_test_mark = pyfuncitem.get_closest_marker('gen_test')
    if gen_test_mark:
        io_loop = pyfuncitem.funcargs.get('io_loop')
        run_sync = gen_test_mark.kwargs.get('run_sync', True)

        funcargs = dict((arg, pyfuncitem.funcargs[arg])
                        for arg in _argnames(pyfuncitem.obj))
        if iscoroutinefunction(pyfuncitem.obj):
            coroutine = pyfuncitem.obj
            future = tornado.gen.convert_yielded(coroutine(**funcargs))
        else:
            coroutine = tornado.gen.coroutine(pyfuncitem.obj)
            future = coroutine(**funcargs)
        if run_sync:
            io_loop.run_sync(lambda: future, timeout=_timeout(pyfuncitem))
        else:
            # Run this test function as a coroutine, until the timeout. When completed, stop the IOLoop
            # and reraise any exceptions

            future_with_timeout = tornado.gen.with_timeout(
                    datetime.timedelta(seconds=_timeout(pyfuncitem)),
                    future)
            io_loop.add_future(future_with_timeout, lambda f: io_loop.stop())
            io_loop.start()

            # This will reraise any exceptions that occurred.
            future_with_timeout.result()

        # prevent other pyfunc calls from executing
        return True 

# 需要導入模塊: import tornado [as 別名]
# 或者: from tornado import gen [as 別名]
def get_arg(context, index):
    """get value from arg stream in async way"""
    if index < len(context.argstreams):
        arg = b""
        chunk = yield context.argstreams[index].read()
        while chunk:
            arg += chunk
            chunk = yield context.argstreams[index].read()

        raise tornado.gen.Return(arg)
    else:
        raise TChannelError() 

# 需要導入模塊: import tornado [as 別名]
# 或者: from tornado import gen [as 別名]
def get_header(self):
        """Get the application header value from the request.

        :return: a future contains the deserialized value of header
        """
        raw_header = yield get_arg(self, 1)  # from arg2
        if not self.serializer:
            raise tornado.gen.Return(raw_header)
        else:
            header = self.serializer.deserialize_header(raw_header)
            raise tornado.gen.Return(header) 

# 需要導入模塊: import tornado [as 別名]
# 或者: from tornado import gen [as 別名]
def get_body(self):
        """Get the body value from the request.

        :return: a future contains the deserialized value of body
        """

        raw_body = yield get_arg(self, 2)  # from arg3
        if not self.serializer:
            raise tornado.gen.Return(raw_body)
        else:
            body = self.serializer.deserialize_body(raw_body)
            raise tornado.gen.Return(body) 

# 需要導入模塊: import tornado [as 別名]
# 或者: from tornado import gen [as 別名]
def get_body(self):
        """Get the body value from the response.

        :return: a future contains the deserialized value of body
        """

        raw_body = yield get_arg(self, 2)
        if not self.serializer:
            raise tornado.gen.Return(raw_body)
        else:
            body = self.serializer.deserialize_body(raw_body)
            raise tornado.gen.Return(body) 

# 需要導入模塊: import tornado [as 別名]
# 或者: from tornado import gen [as 別名]
def handler_error(request, response):
    yield tornado.gen.sleep(0.01)
    yield response.connection.send_error(BusyError("retry", request.id))
    # stop normal response streams
    response.set_exception(TChannelError("stop stream")) 

# 需要導入模塊: import tornado [as 別名]
# 或者: from tornado import gen [as 別名]
def chain(number_of_peers, endpoint):
    tchannel = TChannel(name='test')
    for i in range(number_of_peers):
        # Connect to these peers so that they are treated as higher priority
        # than other peers.
        yield tchannel.peers.get(server(endpoint).hostport).connect()
    raise tornado.gen.Return(tchannel) 

# 需要導入模塊: import tornado [as 別名]
# 或者: from tornado import gen [as 別名]
def register(tchannel):
    @tchannel.json.register("json_echo")
    @tornado.gen.coroutine
    def json_echo(request):
        headers = request.headers
        body = request.body

        return Response(body, headers) 

# 需要導入模塊: import tornado [as 別名]
# 或者: from tornado import gen [as 別名]
def test_span_tags(encoding, operation, tracer, thrift_service):
    server = TChannel('server', tracer=tracer)
    server.listen()

    def get_span_baggage():
        sp = server.context_provider.get_current_span()
        baggage = sp.get_baggage_item('bender') if sp else None
        return {'bender': baggage}

    @server.json.register('foo')
    def handler(_):
        return get_span_baggage()

    @server.thrift.register(thrift_service.X, method='thrift2')
    def thrift2(_):
        return json.dumps(get_span_baggage())
    client = TChannel('client', tracer=tracer, trace=True)
    opentracing.set_global_tracer(tracer)

    span = tracer.start_span('root')
    span.set_baggage_item('bender', 'is great')
    with span:
        res = None
        with client.context_provider.span_in_context(span):
            if encoding == 'json':
                res = client.json(
                    service='test-service',  # match thrift_service name
                    endpoint='foo',
                    body={},
                    hostport=server.hostport,
                )
            elif encoding == 'thrift':
                res = client.thrift(
                    thrift_service.X.thrift2(),
                    hostport=server.hostport,
                )
            else:
                raise ValueError('Unknown encoding %s' % encoding)
        res = yield res  # cannot yield in StackContext
    res = res.body
    if isinstance(res, six.string_types):
        res = json.loads(res)
    assert res == {'bender': 'is great'}
    for i in range(1000):
        spans = tracer.reporter.get_spans()
        if len(spans) == 3:
            break
        yield tornado.gen.sleep(0.001)  # yield execution and sleep for 1ms
    spans = tracer.reporter.get_spans()
    assert len(spans) == 3
    trace_ids = set([s.trace_id for s in spans])
    assert 1 == len(trace_ids), \
        'all spans must have the same trace_id: %s' % trace_ids