Examples with CallableModelPredictor ambit2.rest.model.task.CallableModelPredictor used on opensource projects

Example 1 with CallableModelPredictor

use of ambit2.rest.model.task.CallableModelPredictor in project ambit-mirror by ideaconsult.

the class ModelResource method createCallable.

@Override
protected CallableQueryProcessor createCallable(Form form, ModelQueryResults model) throws ResourceException {
    try {
        readVariables(model);
        Object token = getToken();
        final ModelPredictor thepredictor = ModelResource.getPredictor(model, getRequest());
        if (model.getContentMediaType().equals(AlgorithmFormat.WWW_FORM.getMediaType())) {
            if (thepredictor instanceof ExpertModelpredictor)
                return new CallableModelPredictor<IStructureRecord, ExpertModelpredictor, Object>(form, getRequest().getRootRef(), getContext(), (ExpertModelpredictor) thepredictor, token, getRequest().getResourceRef().toString(), getClientInfo()) {

                    @Override
                    protected void processForm(Reference applicationRootReference, Form form) {
                        super.processForm(applicationRootReference, form);
                        ((ExpertModelpredictor) thepredictor).setValue(form.getFirstValue("value"));
                    }
                };
            else
                return new CallableModelPredictor<IStructureRecord, ModelPredictor, Object>(form, getRequest().getRootRef(), getContext(), thepredictor, token, getRequest().getResourceRef().toString(), getClientInfo());
        } else if (model.getContentMediaType().equals(AlgorithmFormat.WEKA.getMediaType())) {
            return // reads Instances, instead of IStructureRecord
            new CallableWekaPredictor<Object, Object>(form, getRequest().getRootRef(), getContext(), thepredictor, token, getRequest().getResourceRef().toString(), getClientInfo());
        /*
				 * } else if (model.getContentMediaType().equals(
				 * 
				 * AlgorithmFormat.WAFFLES_JSON.getMediaType())) { return new
				 * CallableWafflesPredictor(form, getRequest() .getRootRef(),
				 * getContext(), (WafflesPredictor) thepredictor,
				 * token,getRequest().getResourceRef().toString());
				 */
        } else if (model.getContentMediaType().equals(AlgorithmFormat.COVERAGE_SERIALIZED.getMediaType())) {
            if (model.getPredictors().size() == 0) {
                // based AD
                if (thepredictor instanceof FingerprintsPredictor)
                    return new CallableModelPredictor<IStructureRecord, FingerprintsPredictor, Object>(form, getRequest().getRootRef(), getContext(), (FingerprintsPredictor) thepredictor, token, getRequest().getResourceRef().toString(), getClientInfo());
                else
                    throw new ResourceException(Status.CLIENT_ERROR_BAD_REQUEST, String.format("Not supported %s", thepredictor.getClass().getName()));
            } else {
                return new CallableModelPredictor(form, getRequest().getRootRef(), getContext(), thepredictor, token, getRequest().getResourceRef().toString(), getClientInfo());
            /*
					 * return new CallableWekaPredictor<DataCoverage>( //reads
					 * Instances, instead of IStructureRecord form,
					 * getRequest().getRootRef(), getContext(), predictor) ;
					 */
            }
        } else if (model.getContentMediaType().equals(AlgorithmFormat.Structure2D.getMediaType())) {
            return new CallableStructureOptimizer(form, getRequest().getRootRef(), getContext(), (Structure2DProcessor) thepredictor, token, getRequest().getResourceRef().toString(), getClientInfo());
        } else if (model.getContentMediaType().equals(AlgorithmFormat.MOPAC.getMediaType())) {
            return new CallableStructureOptimizer(form, getRequest().getRootRef(), getContext(), (StructureProcessor) thepredictor, token, getRequest().getResourceRef().toString(), getClientInfo());
        } else if (model.getContentMediaType().equals(AlgorithmFormat.TAUTOMERS.getMediaType())) {
            return new CallableTautomersGenerator(form, getRequest().getRootRef(), getContext(), (TautomersGenerator) thepredictor, token, getRequest().getResourceRef().toString(), getClientInfo());
        } else if (model.getContentMediaType().equals(AlgorithmFormat.JAVA_CLASS.getMediaType())) {
            return new CallableDescriptorCalculator(form, getRequest().getRootRef(), getContext(), (DescriptorPredictor) thepredictor, token, getRequest().getResourceRef().toString(), getClientInfo());
        } else
            throw new ResourceException(Status.CLIENT_ERROR_UNSUPPORTED_MEDIA_TYPE, model.getContentMediaType());
    } catch (ResourceException x) {
        throw x;
    } catch (Exception x) {
        throw new ResourceException(Status.SERVER_ERROR_INTERNAL, x.getMessage(), x);
    } finally {
    }
}