Simple Example - Calculator Agent
Now, we have enough knowledge to create a simple example: a calculator.
The example shows how to:
- Create an agent.
- Locate the blackboard.
- Write a tuple (a calculator operation).
- Take a tuple (a calculator operation result).
- Differentiate between different operations (plus and minus).
- Handle a simple ID.
The calculator agent will be able to handle two kinds of operations: plus and minus. It will receive an operation request tuple, where one item will be an operation identifier (to handle two operations) and two items with numerical values (to transmit values).
The agent will produce a result tuple, where one item will be a numerical value (to transmit back a result value).
To track a result, each operation request tuple will have an ID, that will be inserted back into a result tuple.
To sum up, there will be two tuple types:
- operation request
[:calculator, id, operation, a, b], e.g.
[:calculator, id, :plus, 1, 2]or[:calculator, id, :minus, 6, 2]. - result
[:result, id, value], e.g.
[:result, id, 4].
To run this example, we will need three files: rinda.rb to start the environment, calculator.rb the calculator agent and client.rb to send requests and display results.
The calculator agent source code, calculator.rb:
require 'rinda/ring'
require 'rinda/tuplespace'
# A simple calculator example.
#
class SimpleCalculator
def plus(a, b)
a + b
end
def minus(a, b)
a - b
end
def main
DRb.start_service
ts = Rinda::RingFinger.primary
loop do
t = ts.take [:calculator, nil, nil, nil, nil] # take an operation request
# assign values
id = t[1]
operation = t[2]
arg1 = t[3]
arg2 = t[4]
puts “Calculator recived operation ##{id} #{operation} with arguments #{arg1} and #{arg2}”
res = operation == ‘plus’ ? plus(arg1, arg2) : minus(arg1, arg2) # perform the received operation
#sleep 1 # to pretend that an operation takes longer
ts.write [:result, id, res] # send a result back
end
end
end
SimpleCalculator.new.main
And the client source code, client.rb:
require 'rinda/ring'
DRb.start_service
ts = Rinda::RingFinger.primary
t1 = Time.now #the start time
# sending operation requests
id = 1 # the ID
for i in (1..5) # plus operations
puts "Sending operation ##{id} plus with arguments #{i} and 1"
ts.write [:calculator, id, :plus, i, 1]
id += 1 # an unique ID value
end
for i in (5..9) # minus operations
puts “Sending operation ##{id} minus with arguments #{i} and 1″
ts.write [:calculator, id, :minus, i, 1]
id += 1 # an unique ID value
end
puts “Waiting for results…”
# receiving results
i = 1
loop do
t = ts.take [:result, nil, nil], 2
puts “Result ##{t[1]} = #{t[2]}”
i += 1
break if i > 10 # 10 request were sent
end
t2 = Time.now # the end time
puts “The operation took #{t2 - t1} seconds.”
See a screencast ![Simple calculator agent screencast [.ogg] Simple calculator agent screencast [.ogg]](/images/screencast.gif)
To start the example, firstly start the environment ruby rinda.rb and then start the calculator agent ruby calculator.rb. Each execution of the client, ruby client.rb, will produce 10 operation requests that will be processed by the agent. The agent will produce 10 results, that will be read by the client.
There is a lot of log messages, so you can easily see when an agent instance received a request, when it send a result and when a client send a request and received a result. With the #id part of a log message you can track particular communication parts.
Execution time should be very short, approx. 0.06 seconds.
Let’s imagine that an operation processing would take longer, e.g. 1 second. Uncomment the 32nd line in the agent source code calculator.rb and restart all parts of the example (rinda.rb and calculator.rb).
Execute the client and the execution time will be, as expected, 10.06 seconds.
And now, to show power of a parallel processing in a multi-agent system, start another calculator agent…
The logs of the started calculator agent instances show that the processing load was nicely shared between the agents.
The result? A half of time (of course), approx. 5.04 seconds.
I like it :)
Files to download: simple_calculator.zip.
Nice and concise demonstration. Works out of the box. Great playground for beginner’s experiments with rinda.Thx
hey guys! nice project!