def getSchema(self):
     """Return the schema object that the paramaterset will use.
     """
     try:
         return Schema.objects.get(namespace__exact=self.schema)
     except Schema.DoesNotExist:
         schema = Schema(namespace=self.schema, name=self.name,
                         type=Schema.DATAFILE)
         schema.save()
         return schema
Ejemplo n.º 2
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 def get_schema(self):
     from tardis.tardis_portal.models import Schema
     try:
         schema = Schema.objects.get(
             namespace=self.namespace)
     except ObjectDoesNotExist:
         schema = Schema()
         schema.namespace = self.namespace
         schema.save()
         self.schema = schema
     return schema
Ejemplo n.º 3
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def _get_schema(schema, name):
    """Return the schema object that the paramaterset will use.
    """
    try:
        sch = Schema.objects.get(namespace__exact=schema)
        logger.debug("found %s %s" % (sch.namespace, sch.name))
        return sch
    except Schema.DoesNotExist:
        schema = Schema(namespace=schema, name=name, type=Schema.DATASET)
        schema.save()
        logger.debug("creating %s %s " % (schema, name))
        return schema
Ejemplo n.º 4
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    def test_contextual_view(self):
        """
            Given schema on dataset, check that  image file created
        """
        user = _create_test_user()
        license = _create_license()
        exp = _create_test_experiment(user, license)
        ds = Dataset(description='happy snaps of plumage')
        ds.save()
        ds = _create_test_dataset(
            ds, exp.id, {
                "output.dat": 'test data\n',
                "grexp.dat": '1 2\n2 3\n3 7\n',
                "grfinal21.dat": '1 2\n 2 4\n4 9\n'
            })

        sch = Schema(namespace=self.HRMCSCHEMA,
                     name="hrmc_views",
                     type=Schema.DATASET)
        sch.save()

        param = ParameterName(schema=sch,
                              name="plot",
                              full_name="scatterplot",
                              units="image",
                              data_type=ParameterName.FILENAME)
        param.save()

        dps = DatasetParameterSet(schema=sch, dataset=ds)
        dps.save()

        ds.experiments.add(exp)
        ds.save()

        client = Client()
        response = client.get('/dataset/%s' % ds.id)
        self.assertEqual(response.status_code, 200)

        param_sets = get_param_sets(ds)
        self.assertTrue(param_sets)

        dp = DatasetParameter.objects.get(parameterset=param_sets[0],
                                          name=param)

        self.assertTrue(dp)
        self.assertNotEquals(dp.string_value, "")  # ie, it has a filename
Ejemplo n.º 5
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    def test_hrmc_filter(self):
        """
           Make an experiment, lood up grexp file and check
           dataset schema missing, then loadup grfinal and check dataset schema
           created
        """
        user = _create_test_user()
        license = _create_license()
        exp = _create_test_experiment(user, license)
        ds = Dataset(description='happy snaps of plumage')
        ds.save()
        _create_test_dataset(ds, exp.id, {
            "output.dat": 'hello',
            "grexp.dat": '2 5\n6 15\n'
        })
        ds.experiments.add(exp)
        ds.save()

        sch = Schema(namespace=self.HRMCSCHEMA,
                     name="hrmc_views",
                     type=Schema.DATASET)
        sch.save()

        param = ParameterName(schema=sch,
                              name="plot",
                              full_name="scatterplot",
                              units="image",
                              data_type=ParameterName.FILENAME)
        param.save()

        param_sets = get_param_sets(ds)
        self.assertEquals(list(param_sets), [])

        _create_test_dataset(ds, exp.id, {'grfinal21.dat': "1 3\n5 14\n"})

        df2 = Dataset_File(dataset=ds, url='path/grfinal21.dat')
        df2.save()

        h = hrmc.HRMCOutput('HRMC', self.HRMCSCHEMA)
        h(sender=Dataset_File, instance=df2)

        param_sets = get_param_sets(ds)
        self.assertEquals([x.schema.namespace for x in param_sets],
                          [self.HRMCSCHEMA])
Ejemplo n.º 6
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    def setUp(self):
        """
        setting up essential objects, copied from tests above
        """
        user = '******'
        pwd = 'secret'
        email = ''
        self.user = User.objects.create_user(user, email, pwd)
        self.userProfile = self.user.userprofile
        self.exp = Experiment(title='test exp1',
                              institution_name='monash',
                              created_by=self.user)
        self.exp.save()
        self.acl = ObjectACL(
            pluginId=django_user,
            entityId=str(self.user.id),
            content_object=self.exp,
            canRead=True,
            isOwner=True,
            aclOwnershipType=ObjectACL.OWNER_OWNED,
        )
        self.acl.save()
        self.dataset = Dataset(description='dataset description...')
        self.dataset.save()
        self.dataset.experiments.add(self.exp)
        self.dataset.save()

        self.datafile = DataFile(dataset=self.dataset,
                                 size=42,
                                 filename="foo",
                                 md5sum="junk")
        self.datafile.save()

        self.testschema = Schema(namespace="http://test.com/test/schema",
                                 name="Test View",
                                 type=Schema.DATAFILE,
                                 hidden=True)
        self.testschema.save()
        self.dfps = DatafileParameterSet(datafile=self.datafile,
                                         schema=self.testschema)
        self.dfps.save()
Ejemplo n.º 7
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 def _save_party_refs(self, party, party_relation):
     """ Save party and party relation information as parameters on the 
         experiment
     """
     namespace = "http://rmit.edu.au/rif-cs/party/1.0/"
     logger.debug("saving party")
     schema = None
     try:
         schema = Schema.objects.get(namespace__exact=namespace)
     except Schema.DoesNotExist:
         logger.debug('Schema ' + namespace + ' does not exist. Creating.')
         schema = Schema(namespace=namespace)
         schema.save()
     exp = Experiment.objects.get(pk=self.experiment_id)
     party_id_param = self._make_param(schema=schema,
                                       name="party_id",
                                       paramtype=ParameterName.NUMERIC)
     relation_param = self._make_param(schema=schema,
                                       name="relationtocollection_id",
                                       paramtype=ParameterName.STRING)
     parameterset = ExperimentParameterSet(schema=schema, experiment=exp)
     parameterset.save()
     ep = ExperimentParameter.objects.filter(name=party_id_param,
                                             parameterset=parameterset,
                                             parameterset__experiment=exp)
     for p in ep:
         p.delete()
     ep = ExperimentParameter(parameterset=parameterset,
                              name=party_id_param,
                              numerical_value=party.pk)
     ep.save()
     ep = ExperimentParameter.objects.filter(name=relation_param,
                                             parameterset=parameterset,
                                             parameterset__experiment=exp)
     for p in ep:
         p.delete()
     ep = ExperimentParameter(parameterset=parameterset,
                              name=relation_param,
                              string_value=party_relation)
     ep.save()
Ejemplo n.º 8
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    def test_parameter(self):
        exp = Experiment(
            title='test exp1',
            institution_name='Australian Synchrotron',
            approved=True,
            created_by=self.user,
            public_access=Experiment.PUBLIC_ACCESS_NONE,
        )
        exp.save()

        dataset = Dataset(description="dataset description")
        dataset.save()
        dataset.experiments.add(exp)
        dataset.save()

        df_file = DataFile(dataset=dataset,
                           filename='file.txt',
                           size=42,
                           md5sum='bogus')
        df_file.save()

        df_schema = Schema(namespace='http://www.cern.ch/felzmann/schema1.xml',
                           type=Schema.DATAFILE)
        df_schema.save()

        ds_schema = Schema(namespace='http://www.cern.ch/felzmann/schema2.xml',
                           type=Schema.DATASET)
        ds_schema.save()

        exp_schema = Schema(
            namespace='http://www.cern.ch/felzmann/schema3.xml',
            type=Schema.EXPERIMENT)
        exp_schema.save()

        df_parname = ParameterName(schema=df_schema,
                                   name='name',
                                   full_name='full_name',
                                   units='image/jpg',
                                   data_type=ParameterName.FILENAME)
        df_parname.save()

        ds_parname = ParameterName(schema=ds_schema,
                                   name='name',
                                   full_name='full_name',
                                   units='image/jpg',
                                   data_type=ParameterName.FILENAME)
        ds_parname.save()

        exp_parname = ParameterName(schema=exp_schema,
                                    name='name',
                                    full_name='full_name',
                                    units='image/jpg',
                                    data_type=ParameterName.FILENAME)
        exp_parname.save()

        df_parset = DatafileParameterSet(schema=df_schema, datafile=df_file)
        df_parset.save()

        ds_parset = DatasetParameterSet(schema=ds_schema, dataset=dataset)
        ds_parset.save()

        exp_parset = ExperimentParameterSet(schema=exp_schema, experiment=exp)
        exp_parset.save()

        with self.settings(METADATA_STORE_PATH=os.path.dirname(__file__)):
            filename = 'test.jpg'
            df_parameter = DatafileParameter(name=df_parname,
                                             parameterset=df_parset,
                                             string_value=filename)
            df_parameter.save()

            ds_parameter = DatasetParameter(name=ds_parname,
                                            parameterset=ds_parset,
                                            string_value=filename)
            ds_parameter.save()

            exp_parameter = ExperimentParameter(name=exp_parname,
                                                parameterset=exp_parset,
                                                string_value=filename)
            exp_parameter.save()

            self.assertEqual(
                "<a href='/display/DatafileImage/load/%i/' target='_blank'><img style='width: 300px;' src='/display/DatafileImage/load/%i/' /></a>"
                %  # noqa
                (df_parameter.id, df_parameter.id),
                df_parameter.get())

            self.assertEqual(
                "<a href='/display/DatasetImage/load/%i/' target='_blank'><img style='width: 300px;' src='/display/DatasetImage/load/%i/' /></a>"
                %  # noqa
                (ds_parameter.id, ds_parameter.id),
                ds_parameter.get())

            self.assertEqual(
                "<a href='/display/ExperimentImage/load/%i/' target='_blank'><img style='width: 300px;' src='/display/ExperimentImage/load/%i/' /></a>"
                %  # noqa
                (exp_parameter.id, exp_parameter.id),
                exp_parameter.get())
Ejemplo n.º 9
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    def setUp(self):
        from django.contrib.auth.models import User
        from tempfile import mkdtemp

        user = '******'
        pwd = 'secret'
        email = ''
        self.user = User.objects.create_user(user, email, pwd)

        self.test_dir = mkdtemp()

        self.exp = Experiment(title='test exp1',
                              institution_name='monash',
                              created_by=self.user)
        self.exp.save()

        self.dataset = Dataset(description="dataset description...")
        self.dataset.save()
        self.dataset.experiments.add(self.exp)
        self.dataset.save()

        self.datafile = DataFile(dataset=self.dataset,
                                 filename="testfile.txt",
                                 size="42",
                                 md5sum='bogus')
        self.datafile.save()

        self.dfo = DataFileObject(
            datafile=self.datafile,
            storage_box=self.datafile.get_default_storage_box(),
            uri="1/testfile.txt")
        self.dfo.save()

        self.schema = Schema(namespace="http://localhost/psmtest/df/",
                             name="Parameter Set Manager",
                             type=3)
        self.schema.save()

        self.parametername1 = ParameterName(schema=self.schema,
                                            name="parameter1",
                                            full_name="Parameter 1")
        self.parametername1.save()

        self.parametername2 = ParameterName(schema=self.schema,
                                            name="parameter2",
                                            full_name="Parameter 2",
                                            data_type=ParameterName.NUMERIC)
        self.parametername2.save()

        self.parametername3 = ParameterName(schema=self.schema,
                                            name="parameter3",
                                            full_name="Parameter 3",
                                            data_type=ParameterName.DATETIME)
        self.parametername3.save()

        self.datafileparameterset = DatafileParameterSet(
            schema=self.schema, datafile=self.datafile)
        self.datafileparameterset.save()

        self.datafileparameter1 = DatafileParameter(
            parameterset=self.datafileparameterset,
            name=self.parametername1,
            string_value="test1")
        self.datafileparameter1.save()

        self.datafileparameter2 = DatafileParameter(
            parameterset=self.datafileparameterset,
            name=self.parametername2,
            numerical_value=2)
        self.datafileparameter2.save()

        # Create a ParameterName and Parameter of type LINK to an experiment
        self.parametername_exp_link = ParameterName(
            schema=self.schema,
            name="exp_link",
            full_name="This parameter is a experiment LINK",
            data_type=ParameterName.LINK)
        self.parametername_exp_link.save()

        self.exp_link_param = DatafileParameter(
            parameterset=self.datafileparameterset,
            name=self.parametername_exp_link)
        exp_url = self.exp.get_absolute_url()  # /experiment/view/1/
        self.exp_link_param.set_value(exp_url)
        self.exp_link_param.save()

        # Create a ParameterName and Parameter of type LINK to a dataset
        self.parametername_dataset_link = ParameterName(
            schema=self.schema,
            name="dataset_link",
            full_name="This parameter is a dataset LINK",
            data_type=ParameterName.LINK)
        self.parametername_dataset_link.save()

        self.dataset_link_param = DatafileParameter(
            parameterset=self.datafileparameterset,
            name=self.parametername_dataset_link)
        dataset_url = self.dataset.get_absolute_url()  # /dataset/1/
        self.dataset_link_param.set_value(dataset_url)
        self.dataset_link_param.save()

        # Create a ParameterName type LINK to an unresolvable (non-URL)
        # free-text value
        self.parametername_unresolvable_link = ParameterName(
            schema=self.schema,
            name="freetext_link",
            full_name="This parameter is a non-URL LINK",
            data_type=ParameterName.LINK)
        self.parametername_unresolvable_link.save()