func (t *tracker) CLGNames(CLG systemspec.CLG, networkPayload objectspec.NetworkPayload) error {
destinationName := CLG.GetName()
sourceIDs := networkPayload.GetSources()
errors := make(chan error, len(sourceIDs))
wg := sync.WaitGroup{}
for _, s := range sourceIDs {
wg.Add(1)
go func(s string) {
behaviourNameKey := key.NewNetworkKey("behaviour-id:%s:behaviour-name", s)
name, err := t.Storage().General().Get(behaviourNameKey)
if err != nil {
errors <- maskAny(err)
} else {
// The errors channel is capable of buffering one error for each source
// ID. The else clause is necessary to queue only one possible error for
// each source ID. So in case the name lookup was successful, we are
// able to actually persist the single CLG name connection.
behaviourNameKey := key.NewNetworkKey("behaviour-name:%s:o:tracker:behaviour-names", name)
err := t.Storage().General().PushToSet(behaviourNameKey, destinationName)
if err != nil {
errors <- maskAny(err)
}
}
wg.Done()
}(string(s))
}
wg.Wait()
select {
case err := <-errors:
if err != nil {
return maskAny(err)
}
default:
// Nothing do here. No error occurred. All good.
}
return nil
}
func (n *network) InputHandler(CLG systemspec.CLG, textInput objectspec.TextInput) error {
// In case the text request defines the echo flag, we overwrite the given CLG
// directly to the output CLG. This will cause the created network payload to
// be forwarded to the output CLG without indirection. Note that this should
// only be used for testing purposes to bypass more complex neural network
// activities to directly respond with the received input.
if textInput.GetEcho() {
var ok bool
CLG, ok = n.CLGs["output"]
if !ok {
return maskAnyf(clgNotFoundError, "name: %s", "output")
}
}
// Create new IDs for the new CLG tree and the input CLG.
clgTreeID, err := n.Service().ID().New()
if err != nil {
return maskAny(err)
}
behaviourID, err := n.Service().ID().New()
if err != nil {
return maskAny(err)
}
// Create a new context and adapt it using the information of the current scope.
ctx := context.MustNew()
ctx.SetBehaviourID(string(behaviourID))
ctx.SetCLGName(CLG.GetName())
ctx.SetCLGTreeID(string(clgTreeID))
ctx.SetExpectation(textInput.GetExpectation())
ctx.SetSessionID(textInput.GetSessionID())
// We transform the received text request to a network payload to have a
// conventional data structure within the neural network.
newNetworkPayloadConfig := networkpayload.DefaultConfig()
newNetworkPayloadConfig.Args = []reflect.Value{reflect.ValueOf(textInput.GetInput())}
newNetworkPayloadConfig.Context = ctx
newNetworkPayloadConfig.Destination = behaviourID
newNetworkPayloadConfig.Sources = []string{n.GetID()}
newNetworkPayload, err := networkpayload.New(newNetworkPayloadConfig)
if err != nil {
return maskAny(err)
}
// Write the new CLG tree ID to reference the input CLG ID and add the CLG
// tree ID to the new context.
firstBehaviourIDKey := key.NewNetworkKey("clg-tree-id:%s:first-behaviour-id", clgTreeID)
err = n.Storage().General().Set(firstBehaviourIDKey, string(behaviourID))
if err != nil {
return maskAny(err)
}
// Write the transformed network payload to the queue.
eventKey := key.NewNetworkKey("event:network-payload")
b, err := json.Marshal(newNetworkPayload)
if err != nil {
return maskAny(err)
}
err = n.Storage().General().PushToList(eventKey, string(b))
if err != nil {
return maskAny(err)
}
return nil
}
