private ScheduledJob scheduledJob;

    public JobLog() {
    }

    public JobLog(final ScheduledJob scheduledJob) {
        this.scheduledJob = scheduledJob;
        setJobName(scheduledJob.getName());
        setScriptType(scheduledJob.getScriptType());
        setScriptData(scheduledJob.getScriptData());
        setStartTime(ComponentUtil.getSystemHelper().getCurrentTimeAsLong());

    public void setEndTime(Long value) {
        registerModifiedProperty("endTime");
        this.endTime = value;
    }

    public String getJobName() {
        checkSpecifiedProperty("jobName");
        return convertEmptyToNull(jobName);
    }

    public void setJobName(String value) {
        registerModifiedProperty("jobName");
        this.jobName = value;
    }

    public String getJobStatus() {

        try {
            final RESULT result = entityType.newInstance();
            result.setEndTime(DfTypeUtil.toLong(source.get("endTime")));
            result.setJobName(DfTypeUtil.toString(source.get("jobName")));
            result.setJobStatus(DfTypeUtil.toString(source.get("jobStatus")));
            result.setLastUpdated(DfTypeUtil.toLong(source.get("lastUpdated")));

namespace tensorflow {
namespace tracing {

Status MaybeSetOpName(AbstractOperation* op, const char* op_name) {
  if (isa<TracingOperation>(op)) {
    TF_RETURN_IF_ERROR(dyn_cast<TracingOperation>(op)->SetOpName(op_name));
  }
  if (isa<gradients::TapeOperation>(op)) {
    TF_RETURN_IF_ERROR(MaybeSetOpName(
        dyn_cast<gradients::TapeOperation>(op)->GetBackingOperation(),
        op_name));
  }

                @Mutate
                void setOs(Platform platform) {
                    platform.operatingSystem = new OperatingSystem()
                }

                @Mutate
                void setOsName(@Path("platform.operatingSystem") OperatingSystem os) {
                  os.name = "foo"
                }

                @Mutate

 public:
  // Sets the name of the operation: this is an optional identifier that is
  // not intended to carry semantics and preserved/propagated without
  // guarantees.
  virtual Status SetOpName(const char* op_name) = 0;

  // For LLVM style RTTI.
  static bool classof(const AbstractOperation* ptr) {
    return ptr->getKind() == kGraph || ptr->getKind() == kMlir;
  }
};

namespace internal {

  ASSERT_EQ(errors::OK, s.code()) << s.message();
  if (isa<TracingOperation>(check_numerics_op.get())) {
    s = dyn_cast<TracingOperation>(check_numerics_op.get())
            ->SetOpName("check_numerics");
    ASSERT_EQ(errors::OK, s.code()) << s.message();
  }
  s = AddInput(check_numerics_op.get(), t.get(), &forward_op);
  ASSERT_EQ(errors::OK, s.code()) << s.message();

        s, tensorflow::errors::InvalidArgument(
               "TF_AbstractOpSetOpName must be called on a TracingOperation."));
    return;
  }
  tsl::Set_TF_Status_from_Status(s, tracing_op->SetOpName(op_name));
}

void TF_AbstractOpSetAttrType(TF_AbstractOp* op, const char* const attr_name,
                              TF_DataType value, TF_Status* s) {
  Status status =