How to use the omegaml.client.util.get_omega function in omegaml

def model(self):
        om = get_omega(self.args)
        name = self.args.get('')
        action = self.args.get('')
        async = self.args.get('--async')
        kwargs_lst = self.args.get('--param')
        output = self.args.get('--result')
        X = self._ensure_valid_XY(self.args.get(''))
        Y = self._ensure_valid_XY(self.args.get(''))
        # parse the list of kw=value values
        # e.g. key1=val1 key2=val2 => kwargs_lst = ['key1=val1', 'key2=val2']
        #   => kw_dct = { 'key1': eval('val1'), 'key2': eval('val2') }
        kv_dct = {}
        for kv in kwargs_lst:
            k, v = kv.split('=', 1)
            kv_dct[k] = eval(v)
        kwargs = {}
        if action in ('predict', 'predict_proba',

def status(self):
        om = get_omega(self.args)
        name = self.args.get('')
        meta = om.jobs.metadata(name)
        attrs = meta.attributes
        runs = attrs.get('job_runs', [])
        run_at, triggers = om.jobs.get_schedule(name, only_pending=True)
        self.logger.info("Runs:")
        for run in runs:
            self.logger.info("  {ts} {status} ".format(**run))
        self.logger.info("Next scheduled runs:")
        for trigger in triggers:
            trigger['ts'] = trigger.get('ts', '')
            self.logger.info("  {ts} {status} {event-kind} {event}".format(**trigger))

def plugins(self):
        om = get_omega(self.args)
        for kind, plugincls in om.defaults.OMEGA_STORE_BACKENDS.items():
            self.logger.info(kind, plugincls.__doc__)

def plugins(self):
        om = get_omega(self.args)
        for kind, plugincls in om.defaults.OMEGA_STORE_BACKENDS.items():
            self.logger.info(kind, plugincls.__doc__)

def put(self):
        om = get_omega(self.args)
        script_path = self.args.get('

def get(self):
        om = get_omega(self.args)
        local = self.args['

def metadata(self):
        om = get_omega(self.args)
        name = self.args.get('')
        self.logger.info(om.jobs.metadata(name).to_json())

def list(self):
        om = get_omega(self.args)
        raw = self.args.get('--raw', False)
        self.logger.info(om.scripts.list(raw=raw))

def result(self):
        from celery.result import AsyncResult

        om = get_omega(self.args)
        task_id = self.args.get('')
        result = AsyncResult(task_id, app=om.runtime.celeryapp).get()
        self.logger.info(result)