src.serviceManager module

class src.serviceManager.ServiceManager

Bases: PyQt5.QtCore.QObject

Handles the connections to the microservices (KNN,Projector,Transformer)

Parameters

QObject (QObject) – So that we can use signals/slots

KNNprogressSignal

ProjectorprogressSignal

TransformerprogressSignal

addPointsToValidationKNN(points)

Add transformed points to the validation kNN to validate precision when later requested.

Parameters

points ([[float]]) – transformed points in 2D/3D

changeProjector(name)

Change the active projector and transformer types.

Parameters

name (string) – name of projection method

Returns

returns true if projector type was changed (false if already correct)

Return type

bool

clearValidationKNN()

Clear validation kNN buffer with all transformed points of previous transformation.

densityRequestSignal

getKNNProgress()

Send a gRPC message to KNN to get the progress

getKNNRequest(sentence)

Send a gRPC message to KNN to get the result of KNN request

Parameters

sentence (string) – The linalg expression of the request. For example, king - man + woman

getPoints(filePath, m)

Slot for the getPoints timer, retrieves the points from the transformer

Parameters

• filePath (string) – The path to the file we want to transform (note doesnt have to be the same one as the one which the model was projected on (WIP))

• m (bytes) – the pickle result for python of the model

getProjectorModel()

Send a gRPC message to Projector to get the current trained model

getProjectorProgress()

Send a gRPC message to projector to get the progress

getServiceProgress(serviceType, name, serviceProtos, signal, timer)

Send a gRPC message to a service to get the progress

getTransformerProgress()

Send a gRPC message to transformer to get the progress

isServiceActive(serviceType)

Gives the current active service of a service type.

Parameters

serviceType (string) – service type as defined as keys in self.stubs

Returns

the stub of the requested service

Return type

gRPC stub

knnRequestSignal

makeDensityRequest(densityWord)

newPointsSignal

newProjectorModelSignal

setupKNNs()

Setup kNN microservices.

setupProjectors()

Setup projector microservices.

setupService(serviceType, name, scriptPath, channelAddress, stubFunc, serviceProtos)

Create a separate process for the projector (gRPC)

Parameters

filePath (string) – The path to the file containing the data embedding (which we want to project)

setupTransformers()

Start up the transformer microservices.

startKNN(filePath)

Actually start the KNN service for a file

Parameters

filePath (string) – Path to the file with embeddings

startProjection(filePath)

Starts the projection on the active projector service.

Parameters

filePath (string) – The path to the file containing the data embedding (which we want to project)

startTransformer(filePath, m)

Gets the projection (gRPC)

Parameters

• filePath (string) – The path to the file we want to transform (note doesnt have to be the same one as the one which the model was projected on (WIP))

• m (bytes) – the pickle result for python of the model

startValidateProjection(filePath)

Starts validation kNN service to validate the projection.

Parameters

filePath (string) – Path to the file with embeddings

stopTransformer()

Stop the projection