def run(self):
logging.info("Running process on {0}:{1}".format(self.host, self.port))
self.finished_execution = False
self.wait = True
create_server_thread(self.host, self.port, self.input_queue, self.finished_execution)
logging.info("Server created. Listening on {0}:{1}".format(self.host, self.port))
threading.Thread(target=self.runCommands).start()
self.input_streams = [Stream(name) for name in self.input_stream_names]
self.output_streams = [Stream(name) for name in self.output_stream_names]
self.map_name_to_input_stream = dict()
for stream in self.input_streams:
self.map_name_to_input_stream[stream.name] = stream
# Call the function that creates a network of agents that
# map input streams to output streams.
while self.wait:
pass
self.func(self.input_streams, self.output_streams)
self.make_output_manager()
self.make_input_manager()
def make_process(
input_stream_names, output_stream_names, func,
input_queue, output_conn_list, host, port):
""" Makes a process that gets messages on its single
input queue, processes the messages and puts messages
on its output queues. An output queue of this process
is an input queue of another process.
Parameters
----------
input_stream_names : list of str
List of names of input streams
output_stream_names : list of str
List of names of output streams
func : function
The parameters of func are
input_streams, output_streams where
input_streams is a list of streams whose names
are in input_stream_names and where
output_streams is a list of streams whose names
are in output_stream_names. func gets messages
on its input streams and puts messages on its
output streams.
input_queue: multiprocessing.Queue
Each process has a single input queue along
which it receives messages.
output_queues_list : list of list of multiprocessing.Queue
output_queues_list[j] is the list of queues to
which messages that appear on the stream with name
output_stream_names[j] should be sent.
Returns
-------
None
Attributes
----------
input_streams : list of Stream
input_stream[j] is the Stream with name
input_stream_name[j].
output_streams : list of Stream
output_stream[j] is the Stream with name
output_stream_name[j].
map_name_to_input_stream : dict
key : str
name of an input stream
value : Stream
The stream with the specified name.
Notes
-----
make_process carries out the following steps:
(1) Sets up data structures for the next two steps.
(2) Calls func which creates the network of agents
that process messages on its input streams and puts
messages on its output streams.
(3) Makes the output and input managers.
"""
logging.info("Running process on {0}:{1}".format(host, port))
finished_execution = False
create_server_thread(host, port, input_queue, finished_execution)
logging.info("Server created. Listening on {0}:{1}".format(host, port))
# Create input_streams, output_streams and
# map_name_to_input_stream
input_streams = [Stream(name) for name in input_stream_names]
output_streams = [Stream(name) for name in output_stream_names]
map_name_to_input_stream = dict()
for stream in input_streams:
map_name_to_input_stream[stream.name] = stream
# Call the function that creates a network of agents that
# map input streams to output streams.
func(input_streams, output_streams)
make_output_manager(output_streams, output_conn_list)
make_input_manager(input_queue, input_streams, map_name_to_input_stream, finished_execution)
def make_process(
input_stream_names, output_stream_names, func,
input_queue, output_conn_list, host, port):
""" Makes a process that gets messages on its single
input queue, processes the messages and puts messages
on its output queues. An output queue of this process
is an input queue of another process.
Parameters
----------
input_stream_names : list of str
List of names of input streams
output_stream_names : list of str
List of names of output streams
func : function
The parameters of func are
input_streams, output_streams where
input_streams is a list of streams whose names
are in input_stream_names and where
output_streams is a list of streams whose names
are in output_stream_names. func gets messages
on its input streams and puts messages on its
output streams.
input_queue: multiprocessing.Queue
Each process has a single input queue along
which it receives messages.
output_queues_list : list of list of multiprocessing.Queue
output_queues_list[j] is the list of queues to
which messages that appear on the stream with name
output_stream_names[j] should be sent.
Returns
-------
None
Attributes
----------
input_streams : list of Stream
input_stream[j] is the Stream with name
input_stream_name[j].
output_streams : list of Stream
output_stream[j] is the Stream with name
output_stream_name[j].
map_name_to_input_stream : dict
key : str
name of an input stream
value : Stream
The stream with the specified name.
Notes
-----
make_process carries out the following steps:
(1) Sets up data structures for the next two steps.
(2) Calls func which creates the network of agents
that process messages on its input streams and puts
messages on its output streams.
(3) Makes the output and input managers.
"""
logging.info("Running process on {0}:{1}".format(host, port))
finished_execution = False
create_server_thread(host, port, input_queue, finished_execution)
logging.info("Server created. Listening on {0}:{1}".format(host, port))
# Create input_streams, output_streams and
# map_name_to_input_stream
input_streams = [Stream(name) for name in input_stream_names]
output_streams = [Stream(name) for name in output_stream_names]
map_name_to_input_stream = dict()
for stream in input_streams:
map_name_to_input_stream[stream.name] = stream
# Call the function that creates a network of agents that
# map input streams to output streams.
func(input_streams, output_streams)
make_output_manager(output_streams, output_conn_list)
make_input_manager(input_queue, input_streams, map_name_to_input_stream, finished_execution)