def predictForRevision(project_id, revision):
        # Init validation
        validation = ValidationResult([]);

        # Load project
        projectValidation = ProjectService.getDetail(project_id);

        # Check project validation
        if not validation.append(projectValidation):
            return validation

        # Get changes of given revision
        submissionValidation = RepositoryService.getRevisionDifference(projectValidation.data["repository"], revision + "^", revision)

        # Check submission validation
        if not validation.append(submissionValidation):
            return validation        

        # Make prediction
        return ModelService.predict(project_id, submissionValidation.data)
    def create(project_id):
        StateService.set("Getting project information")
        # Get detail about project
        validation = ProjectService.getDetail(project_id);

        # If getting detail failed, pass it
        if not validation.isValid:
            return validation;

        # Init tuple to hold data
        measurements = dict()

        # It went ok, so let us begin
        # We need to process each submission
        sortedSubmissions = sorted(validation.data["submissions"], key=lambda k: k['SequenceNumber'])
        for index, submission in enumerate(sortedSubmissions, start=0): 
            StateService.set(validation.data["name"] + ": Processing submission (" + str(index + 1) + "/" + str(sortedSubmissions.__len__()) + ")")
            # Init api handler
            resultCloud = ResultCloud(config.RESULT_CLOUD_API)

            # Get submission with test cases from result cloud
            try:
                response  = resultCloud.get_submission_by_id(submission["Id"])   
            except:
                # Prepare validation and return result
                validation.addError("Failed to load submission from ResultCloud")
                return validation

            # Failed to get response
            if not response:
                # Prepare validation and return result
                validation.addError("Failed to load submission from ResultCloud")
                return validation
            
            # Assign result 
            rcSubmission = resultCloud.last_response['Result']

            # Get changes of submission
            if index < 1:
                # There is no previous submission
                submissionValidation = RepositoryService.getRevisionDifference(validation.data["repository"], submission["GitHash"] + "^", submission["GitHash"])
            else:
                submissionValidation = RepositoryService.getRevisionDifference(validation.data["repository"], sortedSubmissions[index-1]["GitHash"] , submission["GitHash"])

            # Check if validation is ok
            if not validation.append(submissionValidation):
                return validation

            # We have all we need
            for testCase in ModelService._extractTestCases(rcSubmission):
                # Update measurements
                measurements = ModelService._updateModelMeasurements(measurements, ntpath.basename(testCase["Name"]), submissionValidation.data, testCase["ChangeFlag"])

        StateService.set(validation.data["name"] + ":Saving models")

        # Calculate and save models
        classifiers = ModelService._calculate(measurements)
        ModelService._saveClassifiers(classifiers, "project_" + project_id)

        StateService.reset()

        # Return validation
        return validation