Exemplo n.º 1
0
class FakeSearch(search.ModelSearchAdapter):
    model = Fake
    fields = [
        'title^2',
        'description',
    ]
    facets = {
        'tag': search.TermFacet('tags'),
        'other': search.TermFacet('other'),
        'range': search.RangeFacet('a_num_field'),
        'daterange': search.DateRangeFacet('a_daterange_field'),
        'bool': search.BoolFacet('boolean'),
        'extra': search.ExtrasFacet('extras'),
    }
    sorts = {
        'title': search.Sort('title.raw'),
        'description': search.Sort('description.raw'),
    }
Exemplo n.º 2
0
 def setUp(self):
     self.facet = search.BoolFacet(field='boolean')
Exemplo n.º 3
0
class FakeSearchWithBool(FakeSearch):
    facets = {
        'boolean': search.BoolFacet(field='a_bool_field')
    }
Exemplo n.º 4
0
class OrganizationSearch(search.ModelSearchAdapter):
    model = Organization
    fuzzy = True
    fields = (
        'name^6',
        'acronym^6',
        'description',
    )
    sorts = {
        'name': search.Sort('name.raw'),
        'reuses': search.Sort('metrics.reuses'),
        'datasets': search.Sort('metrics.datasets'),
        'followers': search.Sort('metrics.followers'),
        'views': search.Sort('metrics.views'),
        'created': search.Sort('created'),
    }
    facets = {
        'reuses': search.RangeFacet('metrics.reuses'),
        'datasets': search.RangeFacet('metrics.datasets'),
        'followers': search.RangeFacet('metrics.followers'),
        'public_services': search.BoolFacet('public_service'),
    }
    mapping = {
        'properties': {
            'name': {
                'type': 'string',
                'analyzer': search.i18n_analyzer,
                'fields': {
                    'raw': {
                        'type': 'string',
                        'index': 'not_analyzed'
                    }
                }
            },
            'acronym': {
                'type': 'string',
                'index': 'not_analyzed',
            },
            'description': {
                'type': 'string',
                'analyzer': search.i18n_analyzer
            },
            'url': {
                'type': 'string'
            },
            'created': {
                'type': 'date',
                'format': 'date_hour_minute_second'
            },
            'metrics': search.metrics_mapping(Organization),
            'org_suggest': {
                'type': 'completion',
                'index_analyzer': 'simple',
                'search_analyzer': 'simple',
                'payloads': True,
            },
        }
    }
    boosters = [
        search.BoolBooster('public_service', 1.5),
        search.GaussDecay('metrics.followers', max_followers, decay=0.8),
        search.GaussDecay('metrics.reuses', max_reuses, decay=0.9),
        search.GaussDecay('metrics.datasets', max_datasets, decay=0.9),
    ]

    @classmethod
    def is_indexable(cls, org):
        return org.deleted is None

    @classmethod
    def serialize(cls, organization):
        completions = cls.completer_tokenize(organization.name)
        if organization.acronym:
            completions.append(organization.acronym)
        return {
            'name': organization.name,
            'acronym': organization.acronym,
            'description': organization.description,
            'url': organization.url,
            'metrics': organization.metrics,
            'created': organization.created_at.strftime('%Y-%m-%dT%H:%M:%S'),
            'org_suggest': {
                'input': completions,
                'output': organization.name,
                'payload': {
                    'id': str(organization.id),
                    'acronym': organization.acronym,
                    'image_url': organization.logo(40),
                    'slug': organization.slug,
                },
            },
            'public_service': organization.public_service
            or False,  # TODO: extract tis into plugin
        }