Python StoredValueManager.stored_value_cas方法代码示例

# 需要导入模块: from ion.util.stored_values import StoredValueManager [as 别名]
# 或者: from ion.util.stored_values.StoredValueManager import stored_value_cas [as 别名]
class StoredValueTransform(TransformStreamListener):
    '''
    Receives granules from a stream and persists the latest value in the object store

    Background:
        Platforms publish geospatial information on a separate stream from the 
        instruments. Various data products require geospatial information about
        the instrument to calculate the variables. This component persists the
        latest value in a simple data storage container where complex data
        containers can access it.
    '''
        
    def on_start(self):
        TransformStreamListener.on_start(self)
        self.document_key = self.CFG.get_safe('process.document_key')
        self.stored_value_manager = StoredValueManager(self.container)

    def recv_packet(self, msg, route, stream_id):
        rdt = RecordDictionaryTool.load_from_granule(msg)

        document = {}

        for k,v in rdt.iteritems():
            value_array = np.atleast_1d(v[:])
            if 'f' in value_array.dtype.str:
                document[k] = float(value_array[-1])
            elif 'i' in value_array.dtype.str:
                document[k] = int(value_array[-1])

        self.stored_value_manager.stored_value_cas(self.document_key, document)

# 需要导入模块: from ion.util.stored_values import StoredValueManager [as 别名]
# 或者: from ion.util.stored_values.StoredValueManager import stored_value_cas [as 别名]
 def parse_document(cls, container, parser, document_path):
     svm = StoredValueManager(container)
     document = ''
     with open(document_path,'r') as f:
         document = f.read()
     for k,v in parser(document):
         svm.stored_value_cas(k,v)
     return

# 需要导入模块: from ion.util.stored_values import StoredValueManager [as 别名]
# 或者: from ion.util.stored_values.StoredValueManager import stored_value_cas [as 别名]
    def test_global_range_test_parser(self):
        svm = StoredValueManager(self.container)
        for key,doc in grt_parser(grt_sample_doc):
            svm.stored_value_cas(key,doc)
            self.addCleanup(svm.delete_stored_value,key)

        doc = svm.read_value('grt_sbe37-abc123_TEMPWAT_UHHH')
        self.assertEquals(doc['grt_min_value'], 0.)
        self.assertEquals(doc['array'],'array 1')
        doc = svm.read_value('grt_sbe37-abc123_PRESWAT_flagged')
        self.assertEquals(doc['grt_max_value'], 689.47)

# 需要导入模块: from ion.util.stored_values import StoredValueManager [as 别名]
# 或者: from ion.util.stored_values.StoredValueManager import stored_value_cas [as 别名]
    def test_stuck_value_test(self):
        svm = StoredValueManager(self.container)
        for key, doc in trend_parser(trend_value_test_sample_doc):
            svm.stored_value_cas(key, doc)
            self.addCleanup(svm.delete_stored_value, key)

        doc = svm.read_value("trend_ssxbt-ssn719_PRESSURE")
        self.assertEquals(doc["time_interval"], 1.0)
        self.assertEquals(doc["standard_deviation"], 0.0)

        doc = svm.read_value("trend_ssxbt-ssn719_COND")
        self.assertEquals(doc["time_interval"], 3.0)
        self.assertEquals(doc["polynomial_order"], "third")

# 需要导入模块: from ion.util.stored_values import StoredValueManager [as 别名]
# 或者: from ion.util.stored_values.StoredValueManager import stored_value_cas [as 别名]
    def test_gradient_test(self):
        svm = StoredValueManager(self.container)
        for key,doc in gradient_test_parser(gradient_test_sample_doc):
            svm.stored_value_cas(key,doc)
            self.addCleanup(svm.delete_stored_value,key)

        doc = svm.read_value('grad_CHEL-C-32-12_PRESSURE_DENSITY')
        self.assertEquals(doc['units_dat'], 'dbar')
        self.assertEquals(doc['d_dat_dx'], 2.781)

        doc = svm.read_value('grad_CHEW-BA-C-A12_PRESSURE_DENSITY')
        self.assertEquals(doc['units_x'], 'kg m-3')
        self.assertEquals(doc['tol_dat'], 12.)

# 需要导入模块: from ion.util.stored_values import StoredValueManager [as 别名]
# 或者: from ion.util.stored_values.StoredValueManager import stored_value_cas [as 别名]
    def test_stuck_value_test(self):
        svm = StoredValueManager(self.container)
        for key,doc in stuck_value_test_parser(stuck_value_test_sample_doc):
            svm.stored_value_cas(key,doc)
            self.addCleanup(svm.delete_stored_value,key)

        doc = svm.read_value('svt_ssxbt-ssn719_PRESSURE')
        self.assertEquals(doc['svt_resolution'], 1.2)
        self.assertEquals(doc['svt_n'], 10.)

        doc = svm.read_value('svt_ssxbt-ssn719_COND')
        self.assertEquals(doc['svt_resolution'], 0.2)
        self.assertEquals(doc['units'], 'S m-1')

# 需要导入模块: from ion.util.stored_values import StoredValueManager [as 别名]
# 或者: from ion.util.stored_values.StoredValueManager import stored_value_cas [as 别名]
    def test_basic_stored_docs(self):

        doc = {'key':'value'}
        doc_key = 'doc_id'

        svm = StoredValueManager(self.container)
        doc_id, rev = svm.stored_value_cas(doc_key, doc)
        self.addCleanup(svm.delete_stored_value, doc_key)

        doc = svm.read_value(doc_key)
        self.assertTrue('key' in doc and doc['key']=='value')
        svm.stored_value_cas(doc_key,{'key2':'value2'})
        doc = svm.read_value(doc_key)
        self.assertTrue('key' in doc and doc['key']=='value')
        self.assertTrue('key2' in doc and doc['key2']=='value2')

# 需要导入模块: from ion.util.stored_values import StoredValueManager [as 别名]
# 或者: from ion.util.stored_values.StoredValueManager import stored_value_cas [as 别名]
    def test_rdt_lookup(self):
        rdt = self.create_lookup_rdt()

        self.assertTrue('offset_a' in rdt.lookup_values())
        self.assertFalse('offset_b' in rdt.lookup_values())

        rdt['time'] = [0]
        rdt['temp'] = [10.0]
        rdt['offset_a'] = [2.0]
        self.assertEquals(rdt['offset_b'], None)
        self.assertEquals(rdt.lookup_values(), ['offset_a'])
        np.testing.assert_array_almost_equal(rdt['calibrated'], np.array([12.0]))

        svm = StoredValueManager(self.container)
        svm.stored_value_cas('coefficient_document', {'offset_b':2.0})
        rdt.fetch_lookup_values()
        np.testing.assert_array_equal(rdt['offset_b'], np.array([2.0]))
        np.testing.assert_array_equal(rdt['calibrated_b'], np.array([14.0]))

# 需要导入模块: from ion.util.stored_values import StoredValueManager [as 别名]
# 或者: from ion.util.stored_values.StoredValueManager import stored_value_cas [as 别名]
    def test_global_range_lookup(self):
        reference_designator = "CE01ISSM-MF005-01-CTDBPC999"
        ph = ParameterHelper(self.dataset_management, self.addCleanup)
        pdict_id = ph.create_simple_qc_pdict()
        svm = StoredValueManager(self.container)
        doc_key = 'grt_%s_TEMPWAT' % reference_designator
        svm.stored_value_cas(doc_key, {'grt_min_value':-2, 'grt_max_value':40})
        
        stream_def_id = self.pubsub_management.create_stream_definition('qc parsed', parameter_dictionary_id=pdict_id, stream_configuration={'reference_designator':reference_designator})
        self.addCleanup(self.pubsub_management.delete_stream_definition,stream_def_id)
        rdt = RecordDictionaryTool(stream_definition_id=stream_def_id)
        rdt['time'] = [0]
        rdt['temp'] = [20]
        rdt.fetch_lookup_values()
        min_field = [i for i in rdt.fields if 'grt_min_value' in i][0]
        max_field = [i for i in rdt.fields if 'grt_max_value' in i][0]

        np.testing.assert_array_almost_equal(rdt[min_field], [-2.])
        np.testing.assert_array_almost_equal(rdt[max_field], [40.])

        np.testing.assert_array_almost_equal(rdt['tempwat_glblrng_qc'],[1])

# 需要导入模块: from ion.util.stored_values import StoredValueManager [as 别名]
# 或者: from ion.util.stored_values.StoredValueManager import stored_value_cas [as 别名]
class TestQCFunctions(DMTestCase):
    def setUp(self):
        DMTestCase.setUp(self)
        self.ph = ParameterHelper(self.dataset_management, self.addCleanup)
        pdict_id = self.ph.create_simple_qc_pdict()

        self.stream_def_id = self.pubsub_management.create_stream_definition('global range', parameter_dictionary_id=pdict_id, stream_configuration={'reference_designator':'QCTEST'})
        self.addCleanup(self.pubsub_management.delete_stream_definition, self.stream_def_id)

        self.rdt = RecordDictionaryTool(stream_definition_id=self.stream_def_id)
        self.svm = StoredValueManager(self.container)

    def test_global_range_test(self):
        self.svm.stored_value_cas('grt_QCTEST_TEMPWAT', {'grt_min_value':10., 'grt_max_value':20.})

        self.rdt['time'] = np.arange(8)
        self.rdt['temp'] = [9, 10, 16, 17, 18, 19, 20, 25]
        self.rdt.fetch_lookup_values()
        np.testing.assert_array_almost_equal(self.rdt['tempwat_glblrng_qc'], [0, 1, 1, 1, 1, 1, 1, 0])

    def test_spike_test(self): # I know how redundant this sounds
        self.svm.stored_value_cas('spike_QCTEST_TEMPWAT', {'acc':0.1, 'spike_n':5., 'spike_l':5.})

        self.rdt['time'] = np.arange(8)
        self.rdt['temp'] = [-1, 3, 40, -1, 1, -6, -6, 1]
        self.rdt.fetch_lookup_values()

        np.testing.assert_array_almost_equal(self.rdt['tempwat_spketst_qc'], [1, 1, 0, 1, 1, 1, 1, 1])

    def test_stuck_value_test(self):
        self.svm.stored_value_cas('svt_QCTEST_TEMPWAT', {'svt_resolution':0.001, 'svt_n': 4.})

        self.rdt['time'] = np.arange(10)
        self.rdt['temp'] = [4.83, 1.40, 3.33, 3.33, 3.33, 3.33, 4.09, 2.97, 2.85, 3.67]
        self.rdt.fetch_lookup_values()

        np.testing.assert_array_almost_equal(self.rdt['tempwat_stuckvl_qc'], [1, 1, 0, 0, 0, 0, 1, 1, 1, 1])

# 需要导入模块: from ion.util.stored_values import StoredValueManager [as 别名]
# 或者: from ion.util.stored_values.StoredValueManager import stored_value_cas [as 别名]
    def test_lookup_values_ingest_replay(self):
        ph = ParameterHelper(self.dataset_management, self.addCleanup)
        pdict_id = ph.create_lookups()
        stream_def_id = self.pubsub_management.create_stream_definition('lookups', parameter_dictionary_id=pdict_id)
        self.addCleanup(self.pubsub_management.delete_stream_definition, stream_def_id)

        stream_id, route = self.pubsub_management.create_stream('example', exchange_point=self.exchange_point_name, stream_definition_id=stream_def_id)
        self.addCleanup(self.pubsub_management.delete_stream, stream_id)

        ingestion_config_id = self.get_ingestion_config()
        dataset_id = self.create_dataset(pdict_id)
        config = DotDict()
        config.process.lookup_docs = ['test1', 'test2']
        self.ingestion_management.persist_data_stream(stream_id=stream_id, ingestion_configuration_id=ingestion_config_id, dataset_id=dataset_id, config=config)
        self.addCleanup(self.ingestion_management.unpersist_data_stream, stream_id, ingestion_config_id)

        stored_value_manager = StoredValueManager(self.container)
        stored_value_manager.stored_value_cas('test1',{'offset_a':10.0, 'offset_b':13.1})
        
        publisher = StandaloneStreamPublisher(stream_id, route)
        rdt = RecordDictionaryTool(stream_definition_id=stream_def_id)
        rdt['time'] = np.arange(20)
        rdt['temp'] = [20.0] * 20

        granule = rdt.to_granule()

        dataset_monitor = DatasetMonitor(dataset_id)
        self.addCleanup(dataset_monitor.stop)

        publisher.publish(granule)
        self.assertTrue(dataset_monitor.event.wait(30))
        
        replay_granule = self.data_retriever.retrieve(dataset_id)
        rdt_out = RecordDictionaryTool.load_from_granule(replay_granule)

        np.testing.assert_array_almost_equal(rdt_out['time'], np.arange(20))
        np.testing.assert_array_almost_equal(rdt_out['temp'], np.array([20.] * 20))
        np.testing.assert_array_almost_equal(rdt_out['calibrated'], np.array([30.]*20))
        np.testing.assert_array_equal(rdt_out['offset_b'], np.array([rdt_out.fill_value('offset_b')] * 20))

        rdt = RecordDictionaryTool(stream_definition_id=stream_def_id)
        rdt['time'] = np.arange(20,40)
        rdt['temp'] = [20.0] * 20
        granule = rdt.to_granule()

        dataset_monitor.event.clear()

        stored_value_manager.stored_value_cas('test1',{'offset_a':20.0})
        stored_value_manager.stored_value_cas('coefficient_document',{'offset_b':10.0})
        gevent.sleep(2)

        publisher.publish(granule)
        self.assertTrue(dataset_monitor.event.wait(30))

        replay_granule = self.data_retriever.retrieve(dataset_id)
        rdt_out = RecordDictionaryTool.load_from_granule(replay_granule)

        np.testing.assert_array_almost_equal(rdt_out['time'], np.arange(40))
        np.testing.assert_array_almost_equal(rdt_out['temp'], np.array([20.] * 20 + [20.] * 20))
        np.testing.assert_array_equal(rdt_out['offset_b'], np.array([10.] * 40))
        np.testing.assert_array_almost_equal(rdt_out['calibrated'], np.array([30.]*20 + [40.]*20))
        np.testing.assert_array_almost_equal(rdt_out['calibrated_b'], np.array([40.] * 20 + [50.] * 20))

# 需要导入模块: from ion.util.stored_values import StoredValueManager [as 别名]
# 或者: from ion.util.stored_values.StoredValueManager import stored_value_cas [as 别名]
class TestQCFunctions(DMTestCase):
    def setUp(self):
        DMTestCase.setUp(self)
        self.ph = ParameterHelper(self.dataset_management, self.addCleanup)
        self.pdict_id = self.ph.create_simple_qc_pdict()
        self.svm = StoredValueManager(self.container)

    def new_rdt(self,ref='QCTEST'):
        self.stream_def_id = self.create_stream_definition(uuid4().hex, parameter_dictionary_id=self.pdict_id, stream_configuration={'reference_designator':'QCTEST'})
        self.rdt = RecordDictionaryTool(stream_definition_id=self.stream_def_id)

    def test_qc_functions(self):
        self.check_global_range()
        self.check_spike()
        self.check_stuck_value()
        self.check_trend()
        self.check_gradient()
        self.check_localrange()
        self.check_propagate()


    def check_global_range(self):
        log.info('check_global_range')
        self.new_rdt()
        self.svm.stored_value_cas('grt_QCTEST_TEMPWAT', {'grt_min_value':10., 'grt_max_value':20.})

        self.rdt['time'] = np.arange(8)
        self.rdt['temp'] = [9, 10, 16, 17, 18, 19, 20, 25]
        self.rdt.fetch_lookup_values()
        np.testing.assert_array_almost_equal(self.rdt['tempwat_glblrng_qc'], [0, 1, 1, 1, 1, 1, 1, 0])

    def check_spike(self): 
        log.info('check_spike')
        self.new_rdt()
        self.svm.stored_value_cas('spike_QCTEST_TEMPWAT', {'acc':0.1, 'spike_n':5., 'spike_l':5.})

        self.rdt['time'] = np.arange(8)
        self.rdt['temp'] = [-1, 3, 40, -1, 1, -6, -6, 1]
        self.rdt.fetch_lookup_values()

        np.testing.assert_array_almost_equal(self.rdt['tempwat_spketst_qc'], [1, 1, 0, 1, 1, 1, 1, 1])

    def check_stuck_value(self):
        log.info('check_stuck_value')
        self.new_rdt()
        self.svm.stored_value_cas('svt_QCTEST_TEMPWAT', {'svt_resolution':0.001, 'svt_n': 4.})

        self.rdt['time'] = np.arange(10)
        self.rdt['temp'] = [4.83, 1.40, 3.33, 3.33, 3.33, 3.33, 4.09, 2.97, 2.85, 3.67]
        self.rdt.fetch_lookup_values()

        np.testing.assert_array_almost_equal(self.rdt['tempwat_stuckvl_qc'], [1, 1, 0, 0, 0, 0, 1, 1, 1, 1])

    def check_trend(self):
        log.info('check_trend')
        self.new_rdt()
        self.svm.stored_value_cas('trend_QCTEST_TEMPWAT', {'time_interval':0, 'polynomial_order': 1, 'standard_deviation': 3})
        self.rdt['time'] = np.arange(10)
        self.rdt['temp'] = [0.8147, 0.9058, 0.1270, 0.9134, 0.6324, 0.0975, 0.2785, 0.5469, 0.9575, 0.9649]

        self.rdt.fetch_lookup_values()

        np.testing.assert_array_equal(self.rdt['tempwat_trndtst_qc'], [1] * 10)


    def check_propagate(self):
        log.info('check_propagate')
        self.new_rdt()
        self.rdt['time'] = np.arange(8)
        self.rdt['temp'] = [9, 10, 16, 17, 18, 19, 20, 25]
        self.rdt['tempwat_glblrng_qc'] = [0, 1, 1, 1, 1, 1, 1, 0]
        self.rdt['tempwat_spketst_qc'] = [0, 1, 1, 1, 1, 1, 1, 0]
        self.rdt['tempwat_stuckvl_qc'] = [0, 1, 1, 1, 1, 1, 1, 0]
        self.rdt['tempwat_gradtst_qc'] = [0, 1, 1, 1, 1, 1, 1, 0]
        self.rdt['tempwat_trndtst_qc'] = [0, 1, 1, 1, 1, 1, 1, 0]
        self.rdt['tempwat_loclrng_qc'] = [0, 1, 1, 1, 1, 1, 1, 0]
        self.rdt['preswat_glblrng_qc'] = [0, 1, 1, 1, 1, 1, 1, 0]
        self.rdt['preswat_spketst_qc'] = [0, 1, 1, 1, 1, 1, 1, 0]
        self.rdt['preswat_stuckvl_qc'] = [0, 1, 1, 1, 1, 1, 1, 0]
        self.rdt['preswat_gradtst_qc'] = [0, 1, 1, 1, 1, 1, 1, 0]
        self.rdt['preswat_trndtst_qc'] = [0, 1, 1, 1, 1, 1, 1, 0]
        self.rdt['preswat_loclrng_qc'] = [0, 1, 1, 1, 1, 1, 1, 0]
        np.testing.assert_array_equal(self.rdt['cmbnflg_qc'], [0, 1, 1, 1, 1, 1, 1, 0])
    
    def check_gradient(self):
        log.info('check_gradient')
        self.new_rdt()
        self.svm.stored_value_cas('grad_QCTEST_TEMPWAT_time', {'d_dat_dx': 50, 'min_dx': 0, 'start_dat': 0, 'tol_dat': 5})
        self.rdt['time'] = np.arange(5)
        self.rdt['temp'] = [3, 5, 98, 99, 4]
        self.rdt.fetch_lookup_values()

        np.testing.assert_array_equal(self.rdt['tempwat_gradtst_qc'], [1, 1, 0, 0, 1])

    def check_localrange(self):
        log.info('check_localrange')
        self.new_rdt()
        t = np.array([3580144703.7555027, 3580144704.7555027, 3580144705.7555027, 3580144706.7555027, 3580144707.7555027, 3580144708.7555027, 3580144709.7555027, 3580144710.7555027, 3580144711.7555027, 3580144712.7555027])
        pressure = np.random.rand(10) * 2 + 33.0
        t_v = ntp_to_month(t)
#.........这里部分代码省略.........

# 需要导入模块: from ion.util.stored_values import StoredValueManager [as 别名]
# 或者: from ion.util.stored_values.StoredValueManager import stored_value_cas [as 别名]
    def test_lookup_values(self):
        ph = ParameterHelper(self.dataset_management, self.addCleanup)
        pdict_id = ph.create_lookups()
        stream_def_id = self.pubsubcli.create_stream_definition('lookup', parameter_dictionary_id=pdict_id)
        self.addCleanup(self.pubsubcli.delete_stream_definition, stream_def_id)

        data_product = DataProduct(name='lookup data product')
        tdom, sdom = time_series_domain()
        data_product.temporal_domain = tdom.dump()
        data_product.spatial_domain = sdom.dump()

        data_product_id = self.dpsc_cli.create_data_product(data_product, stream_definition_id=stream_def_id)
        self.addCleanup(self.dpsc_cli.delete_data_product, data_product_id)
        data_producer = DataProducer(name='producer')
        data_producer.producer_context = DataProcessProducerContext()
        data_producer.producer_context.configuration['qc_keys'] = ['offset_document']
        data_producer_id, _ = self.rrclient.create(data_producer)
        self.addCleanup(self.rrclient.delete, data_producer_id)
        assoc,_ = self.rrclient.create_association(subject=data_product_id, object=data_producer_id, predicate=PRED.hasDataProducer)
        self.addCleanup(self.rrclient.delete_association, assoc)

        document_keys = self.damsclient.list_qc_references(data_product_id)
            
        self.assertEquals(document_keys, ['offset_document'])
        svm = StoredValueManager(self.container)
        svm.stored_value_cas('offset_document', {'offset_a':2.0})
        self.dpsc_cli.activate_data_product_persistence(data_product_id)
        dataset_ids, _ = self.rrclient.find_objects(subject=data_product_id, predicate=PRED.hasDataset, id_only=True)
        dataset_id = dataset_ids[0]

        dataset_monitor = DatasetMonitor(dataset_id)
        self.addCleanup(dataset_monitor.stop)

        rdt = RecordDictionaryTool(stream_definition_id=stream_def_id)
        rdt['time'] = [0]
        rdt['temp'] = [20.]
        granule = rdt.to_granule()

        stream_ids, _ = self.rrclient.find_objects(subject=data_product_id, predicate=PRED.hasStream, id_only=True)
        stream_id = stream_ids[0]
        route = self.pubsubcli.read_stream_route(stream_id=stream_id)

        publisher = StandaloneStreamPublisher(stream_id, route)
        publisher.publish(granule)

        self.assertTrue(dataset_monitor.event.wait(10))

        granule = self.data_retriever.retrieve(dataset_id)
        rdt2 = RecordDictionaryTool.load_from_granule(granule)
        np.testing.assert_array_equal(rdt['temp'], rdt2['temp'])
        np.testing.assert_array_almost_equal(rdt2['calibrated'], np.array([22.0]))


        svm.stored_value_cas('updated_document', {'offset_a':3.0})
        dataset_monitor = DatasetMonitor(dataset_id)
        self.addCleanup(dataset_monitor.stop)
        ep = EventPublisher(event_type=OT.ExternalReferencesUpdatedEvent)
        ep.publish_event(origin=data_product_id, reference_keys=['updated_document'])

        rdt = RecordDictionaryTool(stream_definition_id=stream_def_id)
        rdt['time'] = [1]
        rdt['temp'] = [20.]
        granule = rdt.to_granule()
        gevent.sleep(2) # Yield so that the event goes through
        publisher.publish(granule)
        self.assertTrue(dataset_monitor.event.wait(10))

        granule = self.data_retriever.retrieve(dataset_id)
        rdt2 = RecordDictionaryTool.load_from_granule(granule)
        np.testing.assert_array_equal(rdt2['temp'],np.array([20.,20.]))
        np.testing.assert_array_almost_equal(rdt2['calibrated'], np.array([22.0,23.0]))

# 需要导入模块: from ion.util.stored_values import StoredValueManager [as 别名]
# 或者: from ion.util.stored_values.StoredValueManager import stored_value_cas [as 别名]
 def populate_qc_tables(self):
     svm = StoredValueManager(self.container)
     svm.stored_value_cas('grt_QCTEST_TEMPWAT', {'grt_min_value':-2., 'grt_max_value':40.})
     svm.stored_value_cas('svt_QCTEST_TEMPWAT', {'svt_resolution':0.001, 'svt_n': 4})
     svm.stored_value_cas('spike_QCTEST_TEMPWAT', {'acc': 0.1, 'spike_n':5, 'spike_l':5})