use of io.hops.hopsworks.common.project.TourProjectType in project hopsworks by logicalclocks.
the class ProjectService method example.
@POST
@Path("starterProject/{type}")
@Produces(MediaType.APPLICATION_JSON)
public Response example(@PathParam("type") String type, @Context HttpServletRequest req, @Context SecurityContext sc) throws DatasetException, GenericException, KafkaException, ProjectException, UserException, ServiceException, HopsSecurityException, FeaturestoreException, JobException, IOException, ElasticException, SchemaException, ProvenanceException {
TourProjectType demoType;
try {
demoType = TourProjectType.fromString(type);
} catch (IllegalArgumentException e) {
throw new IllegalArgumentException("Type must be one of: " + Arrays.toString(TourProjectType.values()));
}
ProjectDTO projectDTO = new ProjectDTO();
Project project = null;
projectDTO.setDescription("A demo project for getting started with " + demoType.getDescription());
Users user = jWTHelper.getUserPrincipal(sc);
String username = user.getUsername();
List<String> projectServices = new ArrayList<>();
// save the project
String readMeMessage = null;
switch(demoType) {
case KAFKA:
// It's a Kafka guide
projectDTO.setProjectName("demo_" + TourProjectType.KAFKA.getTourName() + "_" + username);
populateActiveServices(projectServices, TourProjectType.KAFKA);
readMeMessage = "jar file to demonstrate Kafka streaming";
break;
case SPARK:
// It's a Spark guide
projectDTO.setProjectName("demo_" + TourProjectType.SPARK.getTourName() + "_" + username);
populateActiveServices(projectServices, TourProjectType.SPARK);
readMeMessage = "jar file to demonstrate the creation of a spark batch job";
break;
case FS:
// It's a Featurestore guide
projectDTO.setProjectName("demo_" + TourProjectType.FS.getTourName() + "_" + username);
populateActiveServices(projectServices, TourProjectType.FS);
readMeMessage = "Dataset containing a jar file and data that can be used to run a sample spark-job for " + "inserting data in the feature store.";
break;
case ML:
// It's a TensorFlow guide
projectDTO.setProjectName("demo_" + TourProjectType.ML.getTourName() + "_" + username);
populateActiveServices(projectServices, TourProjectType.ML);
readMeMessage = "Jupyter notebooks and training data for demonstrating how to run Deep Learning";
break;
default:
throw new IllegalArgumentException("Type must be one of: " + Arrays.toString(TourProjectType.values()));
}
projectDTO.setServices(projectServices);
DistributedFileSystemOps dfso = null;
DistributedFileSystemOps udfso = null;
try {
project = projectController.createProject(projectDTO, user, req.getSession().getId());
dfso = dfs.getDfsOps();
username = hdfsUsersBean.getHdfsUserName(project, user);
udfso = dfs.getDfsOps(username);
ProvTypeDTO projectMetaStatus = fsProvenanceController.getProjectProvType(user, project);
String tourFilesDataset = projectController.addTourFilesToProject(user.getEmail(), project, dfso, dfso, demoType, projectMetaStatus);
// TestJob dataset
datasetController.generateReadme(udfso, tourFilesDataset, readMeMessage, project.getName());
} catch (Exception ex) {
projectController.cleanup(project, req.getSession().getId());
throw ex;
} finally {
if (dfso != null) {
dfso.close();
}
if (udfso != null) {
dfs.closeDfsClient(udfso);
}
}
return noCacheResponse.getNoCacheResponseBuilder(Response.Status.CREATED).entity(project).build();
}
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