Пример #1
0
    def test_serialize_compatability(self):
        ph = ParameterHelper(self.dataset_management, self.addCleanup)
        pdict_id = ph.create_extended_parsed()

        stream_def_id = self.pubsub_management.create_stream_definition('ctd extended', parameter_dictionary_id=pdict_id)
        self.addCleanup(self.pubsub_management.delete_stream_definition, stream_def_id)

        stream_id, route = self.pubsub_management.create_stream('ctd1', 'xp1', stream_definition_id=stream_def_id)
        self.addCleanup(self.pubsub_management.delete_stream, stream_id)

        sub_id = self.pubsub_management.create_subscription('sub1', stream_ids=[stream_id])
        self.addCleanup(self.pubsub_management.delete_subscription, sub_id)
        self.pubsub_management.activate_subscription(sub_id)
        self.addCleanup(self.pubsub_management.deactivate_subscription, sub_id)

        verified = Event()
        def verifier(msg, route, stream_id):
            for k,v in msg.record_dictionary.iteritems():
                if v is not None:
                    self.assertIsInstance(v, np.ndarray)
            rdt = RecordDictionaryTool.load_from_granule(msg)
            for k,v in rdt.iteritems():
                self.assertIsInstance(rdt[k], np.ndarray)
                self.assertIsInstance(v, np.ndarray)
            verified.set()

        subscriber = StandaloneStreamSubscriber('sub1', callback=verifier)
        subscriber.start()
        self.addCleanup(subscriber.stop)

        publisher = StandaloneStreamPublisher(stream_id,route)
        rdt = RecordDictionaryTool(stream_definition_id=stream_def_id)
        ph.fill_rdt(rdt,10)
        publisher.publish(rdt.to_granule())
        self.assertTrue(verified.wait(60))
    def setup_resource(self):
        ph = ParameterHelper(self.dataset_management, self.addCleanup)
        pdict_id = ph.create_extended_parsed()

        stream_def_id = self.pubsub_management.create_stream_definition('example', parameter_dictionary_id=pdict_id)
        self.addCleanup(self.pubsub_management.delete_stream_definition, stream_def_id)

        tdom, sdom = time_series_domain()

        dp = DataProduct(name='example')
        dp.spatial_domain = sdom.dump()
        dp.temporal_domain = tdom.dump()

        data_product_id = self.data_product_management.create_data_product(dp, stream_def_id)
        self.addCleanup(self.data_product_management.delete_data_product, data_product_id)

        self.data_product_management.activate_data_product_persistence(data_product_id)
        self.addCleanup(self.data_product_management.suspend_data_product_persistence, data_product_id)

        dataset_id = self.resource_registry.find_objects(data_product_id, PRED.hasDataset, id_only=True)[0][0]
        monitor = DatasetMonitor(dataset_id)
        self.addCleanup(monitor.stop)

        rdt = ph.get_rdt(stream_def_id)
        ph.fill_rdt(rdt, 100)
        ph.publish_rdt_to_data_product(data_product_id, rdt)

        # Yield to other greenlets, had an issue with connectivity
        gevent.sleep(1)

        self.offering_id = dataset_id
Пример #3
0
    def test_create_dataset(self):
        ph = ParameterHelper(self.dataset_management, self.addCleanup)
        pdict_id = ph.create_extended_parsed()

        stream_def_id = self.pubsub_management.create_stream_definition('example', parameter_dictionary_id=pdict_id)
        self.addCleanup(self.pubsub_management.delete_stream_definition, stream_def_id)


        dp = DataProduct(name='example')

        data_product_id = self.data_product_management.create_data_product(dp, stream_def_id)
        self.addCleanup(self.data_product_management.delete_data_product, data_product_id)

        self.data_product_management.activate_data_product_persistence(data_product_id)
        self.addCleanup(self.data_product_management.suspend_data_product_persistence, data_product_id)

        dataset_id = self.resource_registry.find_objects(data_product_id, PRED.hasDataset, id_only=True)[0][0]
        monitor = DatasetMonitor(dataset_id)
        self.addCleanup(monitor.stop)

        rdt = ph.get_rdt(stream_def_id)
        ph.fill_rdt(rdt, 100)
        ph.publish_rdt_to_data_product(data_product_id, rdt)
        self.assertTrue(monitor.event.wait(10))

        # Yield to other greenlets, had an issue with connectivity
        gevent.sleep(1)

        log.debug("--------------------------------")
        log.debug(dataset_id)
        coverage_path = DatasetManagementService()._get_coverage_path(dataset_id)
        log.debug(coverage_path)
        log.debug("--------------------------------")

        breakpoint(locals(), globals())
Пример #4
0
    def test_fdt_created_during(self):
    # generate a data product and check that the FDT exists
        ph = ParameterHelper(self.dataset_management, self.addCleanup)
        pdict_id = ph.create_extended_parsed()

        stream_def_id = self.pubsub_management.create_stream_definition('example', parameter_dictionary_id=pdict_id)
        self.addCleanup(self.pubsub_management.delete_stream_definition, stream_def_id)


        dp = DataProduct(name='example')

        data_product_id = self.data_product_management.create_data_product(dp, stream_def_id)
        self.addCleanup(self.data_product_management.delete_data_product, data_product_id)

        self.data_product_management.activate_data_product_persistence(data_product_id)
        self.addCleanup(self.data_product_management.suspend_data_product_persistence, data_product_id)

        dataset_id = self.resource_registry.find_objects(data_product_id, PRED.hasDataset, id_only=True)[0][0]
        monitor = DatasetMonitor(dataset_id)
        self.addCleanup(monitor.stop)

        rdt = ph.get_rdt(stream_def_id)
        ph.fill_rdt(rdt, 100)
        ph.publish_rdt_to_data_product(data_product_id, rdt)
        self.assertTrue(monitor.event.wait(10))

        gevent.sleep(1) # Yield to other greenlets, had an issue with connectivity

        print "--------------------------------"
        print dataset_id
        coverage_path = DatasetManagementService()._get_coverage_path(dataset_id)
        print coverage_path
        print "--------------------------------"
    def test_pydap(self):
        if not CFG.get_safe('bootstrap.use_pydap',False):
            raise unittest.SkipTest('PyDAP is off (bootstrap.use_pydap)')
        ph = ParameterHelper(self.dataset_management, self.addCleanup)
        pdict_id = ph.create_extended_parsed()

        stream_def_id = self.pubsub_management.create_stream_definition('example', parameter_dictionary_id=pdict_id)
        self.addCleanup(self.pubsub_management.delete_stream_definition, stream_def_id)

        tdom, sdom = time_series_domain()

        dp = DataProduct(name='example')
        dp.spatial_domain = sdom.dump()
        dp.temporal_domain = tdom.dump()

        data_product_id = self.data_product_management.create_data_product(dp, stream_def_id)
        self.addCleanup(self.data_product_management.delete_data_product, data_product_id)
        
        self.data_product_management.activate_data_product_persistence(data_product_id)
        self.addCleanup(self.data_product_management.suspend_data_product_persistence, data_product_id)

        dataset_id = self.resource_registry.find_objects(data_product_id, PRED.hasDataset, id_only=True)[0][0]
        monitor = DatasetMonitor(dataset_id)
        self.addCleanup(monitor.stop)

        rdt = ph.get_rdt(stream_def_id)
        ph.fill_rdt(rdt,10)
        ph.publish_rdt_to_data_product(data_product_id, rdt)
        self.assertTrue(monitor.event.wait(10))


        gevent.sleep(1) # Yield to other greenlets, had an issue with connectivity

        pydap_host = CFG.get_safe('server.pydap.host','localhost')
        pydap_port = CFG.get_safe('server.pydap.port',8001)
        url = 'http://%s:%s/%s' %(pydap_host, pydap_port, dataset_id)

        ds = open_url(url)
        np.testing.assert_array_equal(ds['time'][:], np.arange(10))
        untested = []
        for k,v in rdt.iteritems():
            if k==rdt.temporal_parameter:
                continue
            context = rdt.context(k)
            if isinstance(context.param_type, QuantityType):
                np.testing.assert_array_equal(ds[k][k][:][0], rdt[k])
            elif isinstance(context.param_type, ArrayType):
                values = np.empty(rdt[k].shape, dtype='O')
                for i,obj in enumerate(rdt[k]):
                    values[i] = str(obj)
                np.testing.assert_array_equal(ds[k][k][:][0], values)
            elif isinstance(context.param_type, ConstantType):
                np.testing.assert_array_equal(ds[k][k][:][0], rdt[k])
            elif isinstance(context.param_type, CategoryType):
                np.testing.assert_array_equal(ds[k][k][:][0], rdt[k])
            else:
                untested.append('%s (%s)' % (k,context.param_type))
        if untested:
            raise AssertionError('Untested parameters: %s' % untested)
Пример #6
0
    def test_get_data_from_FDW(self):
        # generate a data product and check that the FDW can get data
        ph = ParameterHelper(self.dataset_management, self.addCleanup)
        pdict_id = ph.create_extended_parsed()

        stream_def_id = self.pubsub_management.create_stream_definition(
            'example', parameter_dictionary_id=pdict_id)
        self.addCleanup(self.pubsub_management.delete_stream_definition,
                        stream_def_id)

        dp = DataProduct(name='example')

        data_product_id = self.data_product_management.create_data_product(
            dp, stream_def_id)
        self.addCleanup(self.data_product_management.delete_data_product,
                        data_product_id)

        self.data_product_management.activate_data_product_persistence(
            data_product_id)
        self.addCleanup(
            self.data_product_management.suspend_data_product_persistence,
            data_product_id)

        dataset_id = self.resource_registry.find_objects(data_product_id,
                                                         PRED.hasDataset,
                                                         id_only=True)[0][0]
        monitor = DatasetMonitor(dataset_id)
        self.addCleanup(monitor.stop)

        rdt = ph.get_rdt(stream_def_id)
        ph.fill_rdt(rdt, 100)
        ph.publish_rdt_to_data_product(data_product_id, rdt)
        self.assertTrue(monitor.event.wait(10))

        gevent.sleep(
            1)  # Yield to other greenlets, had an issue with connectivity

        print "--------------------------------"
        print dataset_id
        coverage_path = DatasetManagementService()._get_coverage_path(
            dataset_id)
        print coverage_path
        print "--------------------------------"

        #verify table exists in the DB (similar to above)
        # ....code...

        # check that the geoserver layer exists as above
        # ... code ....

        # make a WMS/WFS request...somet like this (or both)
        url = self.gs_host + '/geoserver/geonode/ows?service=WFS&version=1.0.0&request=GetFeature&typeName=geonode:ooi_' + dataset_id + '_ooi&maxFeatures=1&outputFormat=csv'
        r = requests.get(url)
        assertTrue(r.status_code == 200)
Пример #7
0
    def test_create_dataset_verify_geoserver_layer(self):
        #generate layer and check that the service created it in geoserver
        ph = ParameterHelper(self.dataset_management, self.addCleanup)
        pdict_id = ph.create_extended_parsed()

        stream_def_id = self.pubsub_management.create_stream_definition(
            'example', parameter_dictionary_id=pdict_id)
        self.addCleanup(self.pubsub_management.delete_stream_definition,
                        stream_def_id)

        dp = DataProduct(name='example')

        data_product_id = self.data_product_management.create_data_product(
            dp, stream_def_id)
        self.addCleanup(self.data_product_management.delete_data_product,
                        data_product_id)

        self.data_product_management.activate_data_product_persistence(
            data_product_id)
        self.addCleanup(
            self.data_product_management.suspend_data_product_persistence,
            data_product_id)

        dataset_id = self.resource_registry.find_objects(data_product_id,
                                                         PRED.hasDataset,
                                                         id_only=True)[0][0]
        monitor = DatasetMonitor(dataset_id)
        self.addCleanup(monitor.stop)

        rdt = ph.get_rdt(stream_def_id)
        ph.fill_rdt(rdt, 100)
        ph.publish_rdt_to_data_product(data_product_id, rdt)
        self.assertTrue(monitor.event.wait(10))

        gevent.sleep(
            1)  # Yield to other greenlets, had an issue with connectivity

        log.debug("--------------------------------")
        log.debug(dataset_id)
        coverage_path = DatasetManagementService()._get_coverage_path(
            dataset_id)
        log.debug(coverage_path)
        log.debug("--------------------------------")

        # verify that the layer exists in geoserver
        try:
            r = requests.get(self.gs_rest_url + '/layers/ooi_' + dataset_id +
                             '_ooi.xml',
                             auth=(self.username, self.PASSWORD))
            self.assertTrue(r.status_code == 200)
        except Exception as e:
            log.error("check service and layer exist...%s", e)
            self.assertTrue(False)
    def test_get_data_from_FDW(self):
        # generate a data product and check that the FDW can get data
        ph = ParameterHelper(self.dataset_management, self.addCleanup)
        pdict_id = ph.create_extended_parsed()

        stream_def_id = self.pubsub_management.create_stream_definition('example', parameter_dictionary_id=pdict_id)
        self.addCleanup(self.pubsub_management.delete_stream_definition, stream_def_id)

        tdom, sdom = time_series_domain()

        dp = DataProduct(name='example')
        dp.spatial_domain = sdom.dump()
        dp.temporal_domain = tdom.dump()

        data_product_id = self.data_product_management.create_data_product(dp, stream_def_id)
        self.addCleanup(self.data_product_management.delete_data_product, data_product_id)

        self.data_product_management.activate_data_product_persistence(data_product_id)
        self.addCleanup(self.data_product_management.suspend_data_product_persistence, data_product_id)

        dataset_id = self.resource_registry.find_objects(data_product_id, PRED.hasDataset, id_only=True)[0][0]
        monitor = DatasetMonitor(dataset_id)
        self.addCleanup(monitor.stop)

        rdt = ph.get_rdt(stream_def_id)
        ph.fill_rdt(rdt, 100)
        ph.publish_rdt_to_data_product(data_product_id, rdt)
        self.assertTrue(monitor.event.wait(10))

        gevent.sleep(1) # Yield to other greenlets, had an issue with connectivity

        print "--------------------------------"
        print dataset_id
        coverage_path = DatasetManagementService()._get_coverage_path(dataset_id)
        print coverage_path
        print "--------------------------------"

        #verify table exists in the DB (similar to above)
        # ....code...

        # check that the geoserver layer exists as above
        # ... code ....

        # make a WMS/WFS request...somet like this (or both)
        url = self.gs_host+'/geoserver/geonode/ows?service=WFS&version=1.0.0&request=GetFeature&typeName=geonode:ooi_' + dataset_id + '_ooi&maxFeatures=1&outputFormat=csv'
        r = requests.get(url)
        assertTrue(r.status_code == 200)
    def test_create_dataset_verify_geoserver_layer(self):
        #generate layer and check that the service created it in geoserver
        ph = ParameterHelper(self.dataset_management, self.addCleanup)
        pdict_id = ph.create_extended_parsed()

        stream_def_id = self.pubsub_management.create_stream_definition('example', parameter_dictionary_id=pdict_id)
        self.addCleanup(self.pubsub_management.delete_stream_definition, stream_def_id)

        tdom, sdom = time_series_domain()

        dp = DataProduct(name='example')
        dp.spatial_domain = sdom.dump()
        dp.temporal_domain = tdom.dump()

        data_product_id = self.data_product_management.create_data_product(dp, stream_def_id)
        self.addCleanup(self.data_product_management.delete_data_product, data_product_id)

        self.data_product_management.activate_data_product_persistence(data_product_id)
        self.addCleanup(self.data_product_management.suspend_data_product_persistence, data_product_id)

        dataset_id = self.resource_registry.find_objects(data_product_id, PRED.hasDataset, id_only=True)[0][0]
        monitor = DatasetMonitor(dataset_id)
        self.addCleanup(monitor.stop)

        rdt = ph.get_rdt(stream_def_id)
        ph.fill_rdt(rdt, 100)
        ph.publish_rdt_to_data_product(data_product_id, rdt)
        self.assertTrue(monitor.event.wait(10))

        gevent.sleep(1) # Yield to other greenlets, had an issue with connectivity

        log.debug("--------------------------------")
        log.debug(dataset_id)
        coverage_path = DatasetManagementService()._get_coverage_path(dataset_id)
        log.debug(coverage_path)
        log.debug("--------------------------------")

        # verify that the layer exists in geoserver
        try:
            r = requests.get(self.gs_rest_url + '/layers/ooi_' + dataset_id + '_ooi.xml', auth=(self.username, self.PASSWORD))
            self.assertTrue(r.status_code == 200)
        except Exception as e:
            log.error("check service and layer exist...%s", e)
            self.assertTrue(False)
Пример #10
0
    def test_create_dataset(self):
        ph = ParameterHelper(self.dataset_management, self.addCleanup)
        pdict_id = ph.create_extended_parsed()

        stream_def_id = self.pubsub_management.create_stream_definition(
            'example', parameter_dictionary_id=pdict_id)
        self.addCleanup(self.pubsub_management.delete_stream_definition,
                        stream_def_id)

        dp = DataProduct(name='example')

        data_product_id = self.data_product_management.create_data_product(
            dp, stream_def_id)
        self.addCleanup(self.data_product_management.delete_data_product,
                        data_product_id)

        self.data_product_management.activate_data_product_persistence(
            data_product_id)
        self.addCleanup(
            self.data_product_management.suspend_data_product_persistence,
            data_product_id)

        dataset_id = self.resource_registry.find_objects(data_product_id,
                                                         PRED.hasDataset,
                                                         id_only=True)[0][0]
        monitor = DatasetMonitor(dataset_id)
        self.addCleanup(monitor.stop)

        rdt = ph.get_rdt(stream_def_id)
        ph.fill_rdt(rdt, 100)
        ph.publish_rdt_to_data_product(data_product_id, rdt)
        self.assertTrue(monitor.event.wait(10))

        # Yield to other greenlets, had an issue with connectivity
        gevent.sleep(1)

        log.debug("--------------------------------")
        log.debug(dataset_id)
        coverage_path = DatasetManagementService()._get_coverage_path(
            dataset_id)
        log.debug(coverage_path)
        log.debug("--------------------------------")

        breakpoint(locals(), globals())
Пример #11
0
    def test_fdt_created_during(self):
        # generate a data product and check that the FDT exists
        ph = ParameterHelper(self.dataset_management, self.addCleanup)
        pdict_id = ph.create_extended_parsed()

        stream_def_id = self.pubsub_management.create_stream_definition(
            'example', parameter_dictionary_id=pdict_id)
        self.addCleanup(self.pubsub_management.delete_stream_definition,
                        stream_def_id)

        dp = DataProduct(name='example')

        data_product_id = self.data_product_management.create_data_product(
            dp, stream_def_id)
        self.addCleanup(self.data_product_management.delete_data_product,
                        data_product_id)

        self.data_product_management.activate_data_product_persistence(
            data_product_id)
        self.addCleanup(
            self.data_product_management.suspend_data_product_persistence,
            data_product_id)

        dataset_id = self.resource_registry.find_objects(data_product_id,
                                                         PRED.hasDataset,
                                                         id_only=True)[0][0]
        monitor = DatasetMonitor(dataset_id)
        self.addCleanup(monitor.stop)

        rdt = ph.get_rdt(stream_def_id)
        ph.fill_rdt(rdt, 100)
        ph.publish_rdt_to_data_product(data_product_id, rdt)
        self.assertTrue(monitor.event.wait(10))

        gevent.sleep(
            1)  # Yield to other greenlets, had an issue with connectivity

        print "--------------------------------"
        print dataset_id
        coverage_path = DatasetManagementService()._get_coverage_path(
            dataset_id)
        print coverage_path
        print "--------------------------------"
Пример #12
0
    def setup_resource(self):
        ph = ParameterHelper(self.dataset_management, self.addCleanup)
        pdict_id = ph.create_extended_parsed()

        stream_def_id = self.pubsub_management.create_stream_definition(
            'example', parameter_dictionary_id=pdict_id)
        self.addCleanup(self.pubsub_management.delete_stream_definition,
                        stream_def_id)

        dp = DataProduct(name='example')

        data_product_id = self.data_product_management.create_data_product(
            dp, stream_def_id)
        self.addCleanup(self.data_product_management.delete_data_product,
                        data_product_id)

        self.data_product_management.activate_data_product_persistence(
            data_product_id)
        self.addCleanup(
            self.data_product_management.suspend_data_product_persistence,
            data_product_id)

        dataset_id = self.resource_registry.find_objects(data_product_id,
                                                         PRED.hasDataset,
                                                         id_only=True)[0][0]
        monitor = DatasetMonitor(dataset_id)
        self.addCleanup(monitor.stop)

        rdt = ph.get_rdt(stream_def_id)
        ph.fill_rdt(rdt, 100)
        ph.publish_rdt_to_data_product(data_product_id, rdt)

        # Yield to other greenlets, had an issue with connectivity
        gevent.sleep(1)

        self.offering_id = dataset_id
    def test_pydap(self):
        if not CFG.get_safe('bootstrap.use_pydap', False):
            raise unittest.SkipTest('PyDAP is off (bootstrap.use_pydap)')
        ph = ParameterHelper(self.dataset_management, self.addCleanup)
        pdict_id = ph.create_extended_parsed()

        stream_def_id = self.pubsub_management.create_stream_definition(
            'example', parameter_dictionary_id=pdict_id)
        self.addCleanup(self.pubsub_management.delete_stream_definition,
                        stream_def_id)

        tdom, sdom = time_series_domain()

        dp = DataProduct(name='example')
        dp.spatial_domain = sdom.dump()
        dp.temporal_domain = tdom.dump()

        data_product_id = self.data_product_management.create_data_product(
            dp, stream_def_id)
        self.addCleanup(self.data_product_management.delete_data_product,
                        data_product_id)

        self.data_product_management.activate_data_product_persistence(
            data_product_id)
        self.addCleanup(
            self.data_product_management.suspend_data_product_persistence,
            data_product_id)

        dataset_id = self.resource_registry.find_objects(data_product_id,
                                                         PRED.hasDataset,
                                                         id_only=True)[0][0]
        monitor = DatasetMonitor(dataset_id)
        self.addCleanup(monitor.stop)

        rdt = ph.get_rdt(stream_def_id)
        ph.fill_rdt(rdt, 10)
        ph.publish_rdt_to_data_product(data_product_id, rdt)
        self.assertTrue(monitor.event.wait(10))

        gevent.sleep(
            1)  # Yield to other greenlets, had an issue with connectivity

        pydap_host = CFG.get_safe('server.pydap.host', 'localhost')
        pydap_port = CFG.get_safe('server.pydap.port', 8001)
        url = 'http://%s:%s/%s' % (pydap_host, pydap_port, dataset_id)

        for i in xrange(
                3
        ):  # Do it three times to test that the cache doesn't corrupt the requests/responses
            ds = open_url(url)
            np.testing.assert_array_equal(ds['time'][:], np.arange(10))
            untested = []
            for k, v in rdt.iteritems():
                if k == rdt.temporal_parameter:
                    continue
                context = rdt.context(k)
                if isinstance(context.param_type, QuantityType):
                    np.testing.assert_array_equal(ds[k][k][:][0], rdt[k])
                elif isinstance(context.param_type, ArrayType):
                    if context.param_type.inner_encoding is None:
                        values = np.empty(rdt[k].shape, dtype='O')
                        for i, obj in enumerate(rdt[k]):
                            values[i] = str(obj)
                        np.testing.assert_array_equal(ds[k][k][:][0], values)
                    elif len(rdt[k].shape) > 1:
                        values = np.empty(rdt[k].shape[0], dtype='O')
                        for i in xrange(rdt[k].shape[0]):
                            values[i] = ','.join(
                                map(lambda x: str(x), rdt[k][i].tolist()))
                elif isinstance(context.param_type, ConstantType):
                    np.testing.assert_array_equal(ds[k][k][:][0], rdt[k])
                elif isinstance(context.param_type, CategoryType):
                    np.testing.assert_array_equal(ds[k][k][:][0], rdt[k])
                else:
                    untested.append('%s (%s)' % (k, context.param_type))
            if untested:
                raise AssertionError('Untested parameters: %s' % untested)
    def test_pydap(self):
        ph = ParameterHelper(self.dataset_management, self.addCleanup)
        pdict_id = ph.create_extended_parsed()

        stream_def_id = self.pubsub_management.create_stream_definition('example', parameter_dictionary_id=pdict_id)
        self.addCleanup(self.pubsub_management.delete_stream_definition, stream_def_id)


        dp = DataProduct(name='example')

        data_product_id = self.data_product_management.create_data_product(dp, stream_def_id)
        self.addCleanup(self.data_product_management.delete_data_product, data_product_id)
        
        self.data_product_management.activate_data_product_persistence(data_product_id)
        self.addCleanup(self.data_product_management.suspend_data_product_persistence, data_product_id)

        dataset_id = self.resource_registry.find_objects(data_product_id, PRED.hasDataset, id_only=True)[0][0]
        monitor = DatasetMonitor(dataset_id)
        self.addCleanup(monitor.stop)

        rdt = ph.get_rdt(stream_def_id)
        ph.fill_rdt(rdt,10)
        ph.publish_rdt_to_data_product(data_product_id, rdt)
        self.assertTrue(monitor.wait())


        gevent.sleep(1) # Yield to other greenlets, had an issue with connectivity

        pydap_host = CFG.get_safe('server.pydap.host','localhost')
        pydap_port = CFG.get_safe('server.pydap.port',8001)
        url = 'http://%s:%s/%s' %(pydap_host, pydap_port, data_product_id)

        for i in xrange(3): # Do it three times to test that the cache doesn't corrupt the requests/responses
            ds = open_url(url)

            np.testing.assert_array_equal(list(ds['data']['time']), np.arange(10))
            untested = []
            for k,v in rdt.iteritems():
                if k==rdt.temporal_parameter:
                    continue
                context = rdt.context(k)
                if isinstance(context.param_type, QuantityType):
                    np.testing.assert_array_equal(list(ds['data'][k]), rdt[k])
                elif isinstance(context.param_type, ArrayType):
                    if context.param_type.inner_encoding is None:
                        values = np.empty(rdt[k].shape, dtype='O')
                        for i,obj in enumerate(rdt[k]):
                            values[i] = str(obj)
                        np.testing.assert_array_equal(list(ds['data'][k]), values)
                    elif len(rdt[k].shape)>1:
                        values = np.empty(rdt[k].shape[0], dtype='O')
                        for i in xrange(rdt[k].shape[0]):
                            values[i] = ','.join(map(lambda x : str(x), rdt[k][i].tolist()))
                elif isinstance(context.param_type, ConstantType):
                    np.testing.assert_array_equal(list(ds['data'][k]), rdt[k])
                elif isinstance(context.param_type, CategoryType):
                    np.testing.assert_array_equal(list(ds['data'][k]), rdt[k].astype('|S'))
                else:
                    untested.append('%s (%s)' % (k,context.param_type))
            if untested:
                raise AssertionError('Untested parameters: %s' % untested)