コード例 #1
0
def addSpeciesInfo(bccvlmd, result):
    if ISDMExperiment.providedBy(result.__parent__):
        spds = uuidToObject(result.job_params['species_occurrence_dataset'])
    if IProjectionExperiment.providedBy(result.__parent__):
        spds = uuidToObject(result.job_params['species_distribution_models'])
    speciesmd = IBCCVLMetadata(spds).get('species', None)
    if speciesmd:
        bccvlmd['species'] = speciesmd.copy()
コード例 #2
0
def addSpeciesInfo(bccvlmd, result):
    if ISDMExperiment.providedBy(result.__parent__):
        spds = uuidToObject(result.job_params['species_occurrence_dataset'])
    if IProjectionExperiment.providedBy(result.__parent__):
        spds = uuidToObject(result.job_params['species_distribution_models'])
    speciesmd = IBCCVLMetadata(spds).get('species', None)
    if speciesmd:
        bccvlmd['species'] = speciesmd.copy()
コード例 #3
0
ファイル: dataset_tools.py プロジェクト: BCCVL/org.bccvl.site
    def experiment_inputs(self, context=None):
        # return visualisable input datasets for experiment
        # - used in overlay and compare pages
        if context is None:
            context = self.context
        pc = getToolByName(self.context, 'portal_catalog')
        if ISDMExperiment.providedBy(context):
            # for sdm we return selected occurrence and absence dataset
            # TODO: once available include pesudo absences from result
            for dsuuid in (context.species_occurrence_dataset,
                           context.species_absence_dataset):
                brain = uuidToCatalogBrain(dsuuid)
                if brain:
                    yield brain
        elif IMMExperiment.providedBy(context):
            # for mme we return selected occurrence dataset only
            # TODO: once available include pesudo absences from result
            for dsuuid in (context.species_occurrence_dataset,):
                brain = uuidToCatalogBrain(dsuuid)
                if brain:
                    yield brain
        elif IMSDMExperiment.providedBy(context):
            # muilt species sdm inputs
            for dsuuid in (context.species_occurrence_collections):
                brain = uuidToCatalogBrain(dsuuid)
                if brain:
                    yield brain
        elif IProjectionExperiment.providedBy(context):
            # one experiment - multiple models
            for sdmuuid, models in context.species_distribution_models.items():
                sdm = uuidToObject(sdmuuid)
                if not sdm:
                    continue
                for model in models:
                    # yield current projections for each model
                    model_brain = uuidToCatalogBrain(model)
                    if not model_brain:
                        continue

                    # Return only constraint SDM projection
                    res_path = model_brain.getPath().rsplit('/', 1)
                    for projection in pc.searchResults(path=res_path,
                                                       BCCDataGenre='DataGenreCP'):
                        yield projection
コード例 #4
0
    def experiment_inputs(self, context=None):
        # return visualisable input datasets for experiment
        # - used in overlay and compare pages
        if context is None:
            context = self.context
        pc = getToolByName(self.context, 'portal_catalog')
        if ISDMExperiment.providedBy(context):
            # for sdm we return selected occurrence and absence dataset
            # TODO: once available include pesudo absences from result
            for dsuuid in (context.species_occurrence_dataset,
                           context.species_absence_dataset):
                brain = uuidToCatalogBrain(dsuuid)
                if brain:
                    yield brain
        elif IMMExperiment.providedBy(context):
            # for mme we return selected occurrence dataset only
            # TODO: once available include pesudo absences from result
            for dsuuid in (context.species_occurrence_dataset, ):
                brain = uuidToCatalogBrain(dsuuid)
                if brain:
                    yield brain
        elif IMSDMExperiment.providedBy(context):
            # muilt species sdm inputs
            for dsuuid in (context.species_occurrence_collections):
                brain = uuidToCatalogBrain(dsuuid)
                if brain:
                    yield brain
        elif IProjectionExperiment.providedBy(context):
            # one experiment - multiple models
            for sdmuuid, models in context.species_distribution_models.items():
                sdm = uuidToObject(sdmuuid)
                if not sdm:
                    continue
                for model in models:
                    # yield current projections for each model
                    model_brain = uuidToCatalogBrain(model)
                    if not model_brain:
                        continue

                    # Return only constraint SDM projection
                    res_path = model_brain.getPath().rsplit('/', 1)
                    for projection in pc.searchResults(
                            path=res_path, BCCDataGenre='DataGenreCP'):
                        yield projection