class PublicBodyDocument(DocType):
name = fields.TextField(
fields={'raw': fields.KeywordField()},
analyzer=analyzer,
)
name_auto = fields.TextField(attr='all_names', analyzer=ngram_analyzer)
content = fields.TextField(analyzer=analyzer)
jurisdiction = fields.IntegerField(attr='jurisdiction_id')
classification = fields.ListField(fields.IntegerField())
categories = fields.ListField(fields.IntegerField())
regions = fields.ListField(fields.IntegerField())
regions_exact = fields.ListField(fields.IntegerField())
regions_kind = fields.ListField(fields.KeywordField())
class Meta:
model = PublicBody
queryset_chunk_size = 100
def get_queryset(self):
"""Not mandatory but to improve performance we can select related in one sql request"""
return super().get_queryset().select_related(
'jurisdiction').prefetch_related('classification', 'categories',
'regions')
def prepare_content(self, obj):
content = [
obj.name, obj.other_names,
obj.jurisdiction.name if obj.jurisdiction else '', obj.email or '',
obj.description, obj.contact, obj.address, obj.url,
obj.classification.name if obj.classification else ''
] + [o.name for o in obj.categories.all()]
return ' '.join(c for c in content if c)
def prepare_classification(self, obj):
if obj.classification is None:
return []
return [obj.classification.id
] + [c.id for c in obj.classification.get_ancestors()]
def prepare_categories(self, obj):
cats = obj.categories.all()
return [o.id for o in cats
] + [c.id for o in cats for c in o.get_ancestors()]
def prepare_regions(self, obj):
regs = obj.regions.all()
return [o.id for o in regs
] + [c.id for o in regs for c in o.get_ancestors()]
def prepare_regions_exact(self, obj):
regs = obj.regions.all()
return [o.id for o in regs]
def prepare_regions_kind(self, obj):
regs = obj.regions.all()
return [o.kind for o in regs]
class ArticleDocument(Document):
title = fields.TextField(
fields={'raw': fields.KeywordField()},
analyzer=analyzer,
)
url = fields.TextField(
fields={'raw': fields.KeywordField()},
analyzer=analyzer,
)
description = fields.TextField(
fields={'raw': fields.KeywordField()},
analyzer=analyzer,
)
start_publication = fields.DateField()
author = fields.ListField(fields.IntegerField())
category = fields.ListField(fields.IntegerField())
content = fields.TextField(analyzer=analyzer,
search_analyzer=search_analyzer,
search_quote_analyzer=search_quote_analyzer,
index_options='offsets')
special_signals = True
class Django:
model = Article
queryset_chunk_size = 100
def get_queryset(self):
return Article.published.all()
def prepare_content(self, obj):
html = obj.get_html_content()
return ' '.join([obj.title, obj.description,
strip_tags(html)] +
[o.title for o in obj.categories.all()] +
[t.name for t in obj.tags.all()])
def prepare_description(self, obj):
return strip_tags(obj.description)
def prepare_url(self, obj):
return obj.get_absolute_url()
def prepare_title(self, obj):
return obj.title
def prepare_start_publication(self, obj):
return obj.start_publication
def prepare_category(self, obj):
cats = obj.categories.all()
return [o.id for o in cats]
def prepare_author(self, obj):
authors = obj.authors.all()
return [o.id for o in authors]
class ConceptDocument(Document):
class Index:
name = 'concepts'
settings = {'number_of_shards': 1, 'number_of_replicas': 0}
id = fields.KeywordField(attr='mnemonic', normalizer="lowercase")
name = fields.KeywordField(attr='display_name', normalizer="lowercase")
last_update = fields.DateField(attr='updated_at')
locale = fields.ListField(fields.KeywordField(attr='display_name'))
source = fields.KeywordField(attr='parent_resource',
normalizer="lowercase")
owner = fields.KeywordField(attr='owner_name', normalizer="lowercase")
owner_type = fields.KeywordField(attr='owner_type')
source_version = fields.ListField(fields.TextField())
collection_version = fields.ListField(fields.TextField())
collection = fields.ListField(fields.KeywordField())
public_can_view = fields.BooleanField(attr='public_can_view')
datatype = fields.KeywordField(attr='datatype', normalizer="lowercase")
concept_class = fields.KeywordField(attr='concept_class',
normalizer="lowercase")
retired = fields.KeywordField(attr='retired')
is_active = fields.KeywordField(attr='is_active')
is_latest_version = fields.KeywordField(attr='is_latest_version')
extras = fields.ObjectField()
class Django:
model = Concept
fields = [
'version',
]
@staticmethod
def prepare_locale(instance):
return list(
instance.names.filter(
locale__isnull=False).distinct('locale').values_list(
'locale', flat=True))
@staticmethod
def prepare_source_version(instance):
return list(instance.sources.values_list('version', flat=True))
@staticmethod
def prepare_collection_version(instance):
return list(instance.collection_set.values_list('version', flat=True))
@staticmethod
def prepare_collection(instance):
return list(
set(
list(instance.collection_set.values_list('mnemonic',
flat=True))))
@staticmethod
def prepare_extras(instance):
return instance.extras or {}
class ArticleDocument(DocType):
title = fields.TextField(
fields={'raw': fields.KeywordField()},
analyzer=analyzer,
)
url = fields.TextField(
fields={'raw': fields.KeywordField()},
analyzer=analyzer,
)
description = fields.TextField(
fields={'raw': fields.KeywordField()},
analyzer=analyzer,
)
start_publication = fields.DateField()
author = fields.ListField(fields.IntegerField())
category = fields.ListField(fields.IntegerField())
content = fields.TextField(
analyzer=analyzer
)
special_signals = True
class Meta:
model = Article
queryset_chunk_size = 100
def get_queryset(self):
return Article.published.all()
def prepare_content(self, obj):
html = obj.get_html_content()
return strip_tags(html)
def prepare_description(self, obj):
return strip_tags(obj.description)
def prepare_url(self, obj):
return obj.get_absolute_url()
def prepare_title(self, obj):
return obj.title
def prepare_start_publication(self, obj):
return obj.start_publication
def prepare_category(self, obj):
cats = obj.categories.all()
return [o.id for o in cats]
def prepare_author(self, obj):
authors = obj.authors.all()
return [o.id for o in authors]
class JobDocument(Document):
# Object/List fields
analyzers_to_execute = fields.ListField(fields.KeywordField())
connectors_to_execute = fields.ListField(fields.KeywordField())
# Normal fields
errors = fields.TextField()
# Keyword fields to allow aggregations/vizualizations
source = fields.KeywordField()
status = fields.KeywordField()
md5 = fields.KeywordField()
tlp = fields.KeywordField()
observable_name = fields.KeywordField()
observable_classification = fields.KeywordField()
file_name = fields.KeywordField()
file_mimetype = fields.KeywordField()
# Nested (ForeignKey) fields
tags = fields.NestedField(
properties={"label": fields.KeywordField(), "color": fields.TextField()}
)
analyzer_reports = fields.NestedField(
properties={
"name": fields.KeywordField(),
"status": fields.KeywordField(),
"report": fields.ObjectField(),
"errors": fields.TextField(),
"start_time": fields.DateField(),
"end_time": fields.DateField(),
}
)
connector_reports = fields.NestedField(
properties={
"name": fields.KeywordField(),
"status": fields.KeywordField(),
"report": fields.ObjectField(),
"errors": fields.TextField(),
"start_time": fields.DateField(),
"end_time": fields.DateField(),
}
)
class Index:
# Name of the Elasticsearch index
name = "jobs"
class Django:
model = Job # The model associated with this Document
# The fields of the model you want to be indexed in Elasticsearch
fields = [
"is_sample",
"received_request_time",
"finished_analysis_time",
]
class TweetsDocument(Document):
# search_item = fields.TextField(attrs="search_item")
excepted_words = fields.ListField(field=fields.TextField)
author = fields.ObjectField()
entities = fields.ObjectField()
text = fields.TextField(fields={"raw": fields.KeywordField()},
analyzer="text_analyser")
raw_text = fields.TextField()
retweet_count = fields.IntegerField()
class Django:
model = models.Tweet
fields = [
"search_item",
"id",
# "author",
"created_date",
# "entities",
"source",
"lang",
]
auto_refresh = False
ignore_signals = False
# Paginate the django queryset used to populate the index with the specified size (by
# default there is no pagination)
queryset_pagination = 1000
class ArticleDocument(Document):
category = fields.ObjectField(
properties={
'id': fields.TextField(),
'name': fields.TextField(),
'image': fields.FileField(),
})
cover = fields.FileField()
tags = fields.ListField(fields.TextField())
class Index:
name = 'articles'
settings = {'number_of_shards': 1, 'number_of_replicas': 1}
class Django:
model = Articles
fields = [
'id', 'updated_at', 'title', 'subtitle', 'author_name', 'user',
'realease', 'is_active', 'slug'
]
# related_models = [Category]
def get_queryset(self):
"""Not mandatory but to improve performance we can select related in one sql request"""
return super(ArticleDocument,
self).get_queryset().select_related('category')
class CollectionDocument(Document):
class Index:
name = 'collections'
settings = {'number_of_shards': 1, 'number_of_replicas': 0}
last_update = fields.DateField(attr='updated_at')
public_can_view = fields.TextField(attr='public_can_view')
locale = fields.ListField(fields.KeywordField())
owner = fields.KeywordField(attr='parent_resource', normalizer='lowercase')
owner_type = fields.KeywordField(attr='parent_resource_type')
collection_type = fields.KeywordField(attr='collection_type',
normalizer='lowercase')
is_active = fields.KeywordField(attr='is_active')
version = fields.KeywordField(attr='version')
name = fields.KeywordField(attr='name', normalizer='lowercase')
canonical_url = fields.KeywordField(attr='canonical_url',
normalizer='lowercase')
mnemonic = fields.KeywordField(attr='mnemonic', normalizer='lowercase')
extras = fields.ObjectField()
class Django:
model = Collection
fields = [
'full_name',
'custom_validation_schema',
]
@staticmethod
def prepare_locale(instance):
return get(instance.supported_locales, [])
@staticmethod
def prepare_extras(instance):
return instance.extras or {}
class OrganizationDocument(Document):
class Index:
name = 'organizations'
settings = {'number_of_shards': 1, 'number_of_replicas': 0}
last_update = fields.DateField(attr='updated_at')
public_can_view = fields.BooleanField(attr='public_can_view')
name = fields.KeywordField(attr='name', normalizer="lowercase")
mnemonic = fields.KeywordField(attr='mnemonic', normalizer="lowercase")
extras = fields.ObjectField()
user = fields.ListField(fields.KeywordField())
class Django:
model = Organization
fields = [
'is_active',
'company',
'location',
]
@staticmethod
def prepare_extras(instance):
return instance.extras or {}
@staticmethod
def prepare_user(instance):
return list(instance.members.values_list('username', flat=True))
class ExperimentDocument(Document):
""" Our Experiment ElasticSearch Document, which
corresponds to our Experiment model. """
# Keyword Fields
title = fields.TextField(analyzer=html_strip,
fielddata=True,
fields={"raw": fields.KeywordField()})
publication_title = fields.TextField(analyzer=html_strip,
fielddata=True,
fields={"raw": fields.KeywordField()})
description = fields.TextField(analyzer=html_strip,
fielddata=True,
fields={"raw": fields.KeywordField()})
publication_authors = fields.TextField(
analyzer=html_strip,
fielddata=True,
fields={"raw": fields.KeywordField()})
technology = fields.TextField(analyzer=html_strip_no_stop,
fielddata=True,
fields={"raw": fields.KeywordField()})
organism_names = fields.TextField(analyzer=html_strip_no_ngram,
fielddata=True,
fields={"raw": fields.KeywordField()})
platform_names = fields.TextField(analyzer=standard_keyword,
fielddata=True,
fields={"raw": fields.TextField()})
platform_accession_codes = fields.TextField(
analyzer=standard_keyword,
fielddata=True,
fields={"raw": fields.TextField()})
# Basic Fields
accession_code = fields.KeywordField()
alternate_accession_code = fields.KeywordField()
submitter_institution = fields.TextField()
publication_doi = fields.TextField()
has_publication = fields.BooleanField()
sample_metadata_fields = fields.TextField()
pubmed_id = fields.TextField()
num_total_samples = fields.IntegerField()
num_processed_samples = fields.IntegerField()
num_downloadable_samples = fields.IntegerField()
source_first_published = fields.DateField()
# Index all downloadable samples as keywords so that we can calculate unique counts on the facets
downloadable_samples = fields.ListField(fields.KeywordField())
class Django:
model = Experiment
parallel_indexing = True
queryset_pagination = 3000
fields = [
"id",
]
def get_queryset(self):
""" Override default queryset """
return super(ExperimentDocument, self).get_queryset().order_by("id")
class SourceDocument(Document):
class Index:
name = 'sources'
settings = {'number_of_shards': 1, 'number_of_replicas': 0}
locale = fields.ListField(fields.KeywordField())
last_update = fields.DateField(attr='updated_at')
owner = fields.KeywordField(attr='parent_resource')
owner_type = fields.KeywordField(attr='parent_resource_type')
public_can_view = fields.TextField(attr='public_can_view')
source_type = fields.KeywordField(attr='source_type')
is_active = fields.KeywordField(attr='is_active')
version = fields.KeywordField(attr='version')
name = fields.KeywordField(attr='name')
class Django:
model = Source
fields = [
'full_name',
'custom_validation_schema',
]
@staticmethod
def prepare_locale(instance):
return get(instance.supported_locales, [])
class JobDocument(Document):
# Object/List fields
analyzers_requested = fields.ListField(fields.KeywordField())
analyzers_to_execute = fields.ListField(fields.KeywordField())
analysis_reports = fields.ObjectField()
# Normal fields
errors = fields.TextField()
runtime_configuration = fields.ObjectField()
# Keyword fields to allow aggregations/vizualizations
source = fields.KeywordField()
md5 = fields.KeywordField()
status = fields.KeywordField()
observable_name = fields.KeywordField()
observable_classification = fields.KeywordField()
file_name = fields.KeywordField()
file_mimetype = fields.KeywordField()
# Nested (ForeignKey) fields
tags = fields.NestedField(properties={
"label": fields.KeywordField(),
"color": fields.TextField()
})
def prepare_runtime_configuration(self, instance):
return instance.runtime_configuration
def prepare_analysis_reports(self, instance):
"""
https://github.com/django-es/django-elasticsearch-dsl/issues/36
"""
return instance.analysis_reports
class Index:
# Name of the Elasticsearch index
name = "jobs"
class Django:
model = Job # The model associated with this Document
# The fields of the model you want to be indexed in Elasticsearch
fields = [
"is_sample",
"run_all_available_analyzers",
"received_request_time",
"finished_analysis_time",
"force_privacy",
"disable_external_analyzers",
]
class CollectionDocument(Document):
class Index:
name = 'collections'
settings = {'number_of_shards': 1, 'number_of_replicas': 0}
last_update = fields.DateField(attr='updated_at')
public_can_view = fields.TextField(attr='public_can_view')
locale = fields.ListField(fields.KeywordField())
owner = fields.KeywordField(attr='parent_resource', normalizer='lowercase')
owner_type = fields.KeywordField(attr='parent_resource_type')
collection_type = fields.KeywordField(attr='collection_type',
normalizer='lowercase')
is_active = fields.KeywordField(attr='is_active')
version = fields.KeywordField(attr='version')
name = fields.KeywordField(attr='name', normalizer='lowercase')
canonical_url = fields.KeywordField(attr='canonical_url',
normalizer='lowercase')
mnemonic = fields.KeywordField(attr='mnemonic', normalizer='lowercase')
extras = fields.ObjectField()
identifier = fields.ObjectField()
publisher = fields.KeywordField(attr='publisher', normalizer='lowercase')
immutable = fields.KeywordField(attr='immutable')
created_by = fields.KeywordField()
class Django:
model = Collection
fields = [
'full_name',
'custom_validation_schema',
'revision_date',
'retired',
]
@staticmethod
def prepare_locale(instance):
return get(instance.supported_locales, [])
@staticmethod
def prepare_extras(instance):
value = {}
if instance.extras:
value = jsonify_safe(instance.extras)
return value or {}
@staticmethod
def prepare_identifier(instance):
value = {}
if instance.identifier:
value = jsonify_safe(instance.identifier)
return value or {}
@staticmethod
def prepare_created_by(instance):
return instance.created_by.username
class AdDocument(DocType):
category = fields.KeywordField(attr='category.path_name')
category_path = fields.KeywordField(attr='category.path_ids_str')
category_slug = fields.KeywordField(attr='category.slug')
images = fields.ListField(fields.KeywordField(attr='images_url'))
product = fields.ObjectField(properties={
'title': fields.KeywordField(attr='product_type.title'),
'specs': fields.NestedField(attr='specs.all', properties={
'label': fields.KeywordField(attr='field.label'),
'value': fields.KeywordField(attr='value.value_json')
})
})
class Meta:
model = Ad
fields = [
'title',
'desc',
'price',
'created_at',
'updated_at'
]
related_models = [Taxonomy, File, Product]
def get_instances_from_related(self, related_instance):
if isinstance(related_instance, Taxonomy):
return related_instance.ad_set.all()
elif isinstance(related_instance, File):
return related_instance.ad_set.all()
elif isinstance(related_instance, Product):
try:
return related_instance.ad
except Ad.DoesNotExist as exc:
pass
class UserProfileDocument(Document):
class Index:
name = 'user_profiles'
settings = {'number_of_shards': 1, 'number_of_replicas': 0}
last_update = fields.DateField(attr='updated_at')
date_joined = fields.DateField(attr='created_at')
username = fields.KeywordField(attr='username', normalizer='lowercase')
location = fields.KeywordField(attr='location', normalizer='lowercase')
company = fields.KeywordField(attr='company', normalizer='lowercase')
name = fields.KeywordField(attr='name', normalizer='lowercase')
extras = fields.ObjectField(dynamic=True)
org = fields.ListField(fields.KeywordField())
class Django:
model = UserProfile
fields = [
'is_active',
'is_superuser',
'is_staff',
]
@staticmethod
def prepare_extras(instance):
value = {}
if instance.extras:
value = jsonify_safe(instance.extras)
if isinstance(value, dict):
value = flatten_dict(value)
return value or {}
@staticmethod
def prepare_org(instance):
return list(instance.organizations.values_list('mnemonic', flat=True))
class UserProfileDocument(Document):
class Index:
name = 'user_profiles'
settings = {'number_of_shards': 1, 'number_of_replicas': 0}
date_joined = fields.DateField(attr='created_at')
username = fields.KeywordField(attr='username', normalizer='lowercase')
location = fields.KeywordField(attr='location', normalizer='lowercase')
company = fields.KeywordField(attr='company', normalizer='lowercase')
name = fields.KeywordField(attr='name', normalizer='lowercase')
extras = fields.ObjectField()
org = fields.ListField(fields.KeywordField())
class Django:
model = UserProfile
fields = ['is_active']
@staticmethod
def prepare_extras(instance):
return instance.extras or {}
@staticmethod
def prepare_org(instance):
return list(instance.organizations.values_list('mnemonic', flat=True))
class CityDocument(Document):
"""City Elasticsearch document.
This document has been created purely for testing out complex fields.
"""
# In different parts of the code different fields are used. There are
# a couple of use cases: (1) more-like-this functionality, where `title`,
# `description` and `summary` fields are used, (2) search and filtering
# functionality where all of the fields are used.
# ID
id = fields.IntegerField(attr='id')
# ********************************************************************
# ********************** Main data fields for search *****************
# ********************************************************************
name = StringField(analyzer=html_strip,
fields={
'raw': KeywordField(),
'suggest': fields.CompletionField(),
})
info = StringField(analyzer=html_strip)
# ********************************************************************
# ************** Nested fields for search and filtering **************
# ********************************************************************
# City object
country = fields.NestedField(
properties={
'name':
StringField(analyzer=html_strip,
fields={
'raw': KeywordField(),
'suggest': fields.CompletionField(),
}),
'info':
StringField(analyzer=html_strip),
'location':
fields.GeoPointField(attr='location_field_indexing'),
})
location = fields.GeoPointField(attr='location_field_indexing')
# ********************************************************************
# ********** Other complex fields for search and filtering ***********
# ********************************************************************
boolean_list = fields.ListField(StringField(attr='boolean_list_indexing'))
# boolean_dict_indexing = fields.ObjectField(
# properties={
# 'true': fields.BooleanField(),
# 'false': fields.BooleanField(),
# }
# )
datetime_list = fields.ListField(
StringField(attr='datetime_list_indexing'))
# datetime_dict_indexing
float_list = fields.ListField(StringField(attr='float_list_indexing'))
# float_dict_indexing
integer_list = fields.ListField(StringField(attr='integer_list_indexing'))
# integer_dict_indexing
class Django(object):
model = City # The model associate with this Document
class Meta(object):
parallel_indexing = True
class BookDocument(DocType):
"""Book Elasticsearch document."""
# In different parts of the code different fields are used. There are
# a couple of use cases: (1) more-like-this functionality, where `title`,
# `description` and `summary` fields are used, (2) search and filtering
# functionality where all of the fields are used.
# ID
id = fields.IntegerField(attr='id')
# ********************************************************************
# *********************** Main data fields for search ****************
# ********************************************************************
__title_fields = {
'raw': KeywordField(),
'suggest': fields.CompletionField(),
'edge_ngram_completion': StringField(analyzer=edge_ngram_completion),
'mlt': StringField(analyzer='english'),
}
if ELASTICSEARCH_GTE_5_0:
__title_fields.update({
'suggest_context':
fields.CompletionField(contexts=[
{
"name": "tag",
"type": "category",
"path": "tags.raw",
},
{
"name": "state",
"type": "category",
"path": "state.raw",
},
{
"name": "publisher",
"type": "category",
"path": "publisher.raw",
},
]),
})
title = StringField(analyzer=html_strip, fields=__title_fields)
description = StringField(analyzer=html_strip,
fields={
'raw': KeywordField(),
'mlt': StringField(analyzer='english'),
})
summary = StringField(analyzer=html_strip,
fields={
'raw': KeywordField(),
'mlt': StringField(analyzer='english'),
})
# ********************************************************************
# ********** Additional fields for search and filtering **************
# ********************************************************************
authors = fields.ListField(
StringField(analyzer=html_strip, fields={
'raw': KeywordField(),
}))
# Publisher
publisher = StringField(attr='publisher_indexing',
analyzer=html_strip,
fields={
'raw': KeywordField(),
'suggest': fields.CompletionField(),
})
# Publication date
publication_date = fields.DateField()
# State
state = StringField(analyzer=html_strip, fields={
'raw': KeywordField(),
})
# ISBN
isbn = StringField(analyzer=html_strip, fields={
'raw': KeywordField(),
})
# Price
price = fields.FloatField()
# Pages
pages = fields.IntegerField()
# Stock count
stock_count = fields.IntegerField()
# Tags
tags = StringField(attr='tags_indexing',
analyzer=html_strip,
fields={
'raw': KeywordField(multi=True),
'suggest': fields.CompletionField(multi=True),
},
multi=True)
# Date created
created = fields.DateField()
null_field = StringField(attr='null_field_indexing')
class Meta(object):
"""Meta options."""
model = Book # The model associate with this DocType
parallel_indexing = True
def prepare_summary(self, instance):
"""Prepare summary."""
return instance.summary[:32766]
def prepare_authors(self, instance):
"""Prepare authors."""
return [author.name for author in instance.authors.all()]
class MappingDocument(Document):
class Index:
name = 'mappings'
settings = {'number_of_shards': 1, 'number_of_replicas': 0}
class Django:
model = Mapping
fields = [
'external_id'
]
last_update = fields.DateField(attr='updated_at')
owner = fields.KeywordField(attr='owner_name')
owner_type = fields.KeywordField(attr='owner_type')
source = fields.KeywordField(attr='source')
retired = fields.KeywordField(attr='retired')
is_active = fields.KeywordField(attr='is_active')
is_latest_version = fields.KeywordField(attr='is_latest_version')
map_type = fields.KeywordField(attr='map_type')
from_concept = fields.ListField(fields.KeywordField())
to_concept = fields.ListField(fields.KeywordField())
concept = fields.ListField(fields.KeywordField())
concept_source = fields.ListField(fields.KeywordField())
concept_owner = fields.ListField(fields.KeywordField())
from_concept_owner = fields.KeywordField(attr='from_source_owner')
to_concept_owner = fields.KeywordField(attr='to_source_owner')
concept_owner_type = fields.ListField(fields.KeywordField(attr='to_source_owner'))
from_concept_owner_type = fields.KeywordField(attr='from_source_owner_type')
to_concept_owner_type = fields.KeywordField(attr='to_source_owner_type')
from_concept_source = fields.KeywordField(attr='from_source_name')
to_concept_source = fields.KeywordField(attr='to_source_name')
source_version = fields.ListField(fields.IntegerField())
collection_version = fields.ListField(fields.IntegerField())
collection = fields.ListField(fields.KeywordField())
public_can_view = fields.BooleanField(attr='public_can_view')
id = fields.KeywordField(attr='mnemonic')
@staticmethod
def prepare_from_concept(instance):
return [instance.from_concept_url, instance.from_concept_code, instance.from_concept_name]
@staticmethod
def prepare_to_concept(instance):
return [instance.get_to_concept_code(), instance.get_to_concept_name()]
def prepare_concept(self, instance):
return self.prepare_from_concept(instance) + self.prepare_to_concept(instance)
@staticmethod
def prepare_concept_source(instance):
return [instance.from_source_name, instance.to_source_name]
@staticmethod
def prepare_concept_owner(instance):
return [instance.from_source_owner, instance.to_source_owner]
@staticmethod
def prepare_concept_owner_type(instance):
return [instance.from_source_owner_type, instance.to_source_owner_type]
@staticmethod
def prepare_source_version(instance):
return list(instance.sources.values_list('id', flat=True))
@staticmethod
def prepare_collection_version(instance):
return list(instance.collection_set.values_list('id', flat=True))
@staticmethod
def prepare_collection(instance):
from core.collections.models import Collection
return list(
Collection.objects.filter(
version=HEAD,
mnemonic__in=instance.collection_set.values_list('mnemonic', flat=True)
).distinct('id').values_list('id', flat=True)
)
class FoiRequestDocument(Document):
content = fields.TextField(analyzer=analyzer,
search_analyzer=search_analyzer,
search_quote_analyzer=search_quote_analyzer,
index_options='offsets')
title = fields.TextField()
description = fields.TextField()
resolution = fields.KeywordField()
status = fields.KeywordField()
costs = fields.FloatField()
tags = fields.ListField(fields.KeywordField())
classification = fields.ListField(fields.IntegerField())
categories = fields.ListField(fields.IntegerField())
campaign = fields.IntegerField()
due_date = fields.DateField()
first_message = fields.DateField()
last_message = fields.DateField()
publicbody = fields.IntegerField(attr='public_body_id')
jurisdiction = fields.IntegerField(attr='public_body.jurisdiction_id')
user = fields.IntegerField(attr='user_id')
team = fields.IntegerField(attr='team_id')
public = fields.BooleanField()
class Django:
model = FoiRequest
queryset_chunk_size = 50
def get_queryset(self):
"""Not mandatory but to improve performance we can select related in one sql request"""
return FoiRequest.objects.select_related(
'jurisdiction',
'public_body',
)
def prepare_content(self, obj):
return render_to_string('foirequest/search/foirequest_text.txt',
{'object': obj})
def prepare_tags(self, obj):
return [tag.id for tag in obj.tags.all()]
def prepare_public(self, obj):
return obj.in_public_search_index()
def prepare_campaign(self, obj):
return obj.campaign_id
def prepare_classification(self, obj):
if obj.public_body_id is None:
return []
if obj.public_body.classification is None:
return []
classification = obj.public_body.classification
return [classification.id
] + [c.id for c in classification.get_ancestors()]
def prepare_categories(self, obj):
if obj.public_body:
cats = obj.public_body.categories.all()
return [o.id for o in cats
] + [c.id for o in cats for c in o.get_ancestors()]
return []
def prepare_team(self, obj):
if obj.project and obj.project.team_id:
return obj.project.team_id
return None
class LegislationDocument(DocType):
classifications = fields.TextField(term_vector='with_positions_offsets')
article_classifications = fields.TextField(
term_vector='with_positions_offsets')
tags = fields.TextField(term_vector='with_positions_offsets')
article_tags = fields.TextField(term_vector='with_positions_offsets')
country = fields.KeywordField()
country_name = fields.KeywordField(attr='country.name')
law_type = fields.KeywordField()
pdf_text = fields.TextField()
year_mentions = fields.ListField(fields.IntegerField())
articles = fields.NestedField(
properties={
'pk':
fields.IntegerField(),
'code':
fields.KeywordField(),
'text':
fields.TextField(),
'classifications_text':
fields.TextField(term_vector='with_positions_offsets'),
'parent_classifications':
fields.TextField(term_vector='with_positions_offsets'),
'tags_text':
fields.TextField(term_vector='with_positions_offsets'),
'parent_tags':
fields.TextField(term_vector='with_positions_offsets')
})
def prepare_classifications(self, instance):
classification_names = instance.classifications.all().values_list(
'name', flat=True)
if CONN in ''.join(classification_names):
raise ValidationError(
"Classification names must not include the character "
"'{}'.".format(CONN))
return CONN.join(classification_names)
def prepare_article_classifications(self, instance):
classification_names = {
cl.name
for cl in [
item for sublist in [
article.classifications.all()
for article in instance.articles.all()
] for item in sublist
]
}
if CONN in ''.join(classification_names):
raise ValidationError(
"Classification names must not include the character "
"'{}'.".format(CONN))
return CONN.join(classification_names)
def prepare_tags(self, instance):
tag_names = instance.tags.all().values_list('name', flat=True)
if CONN in ''.join(tag_names):
raise ValidationError(
"Tag names must not include the character '{}'.".format(CONN))
return CONN.join(tag_names)
def prepare_article_tags(self, instance):
tag_names = {
tag.name
for tag in [
item for sublist in
[article.tags.all() for article in instance.articles.all()]
for item in sublist
]
}
if CONN in ''.join(tag_names):
raise ValidationError(
"Tag names must not include the character '{}'.".format(CONN))
return CONN.join(tag_names)
def prepare_country(self, instance):
return instance.country.iso
def prepare_pdf_text(self, instance):
return '\n\n'.join([page.page_text for page in instance.pages.all()])
def prepare_year_mentions(self, instance):
return [
int(year)
for year in re.findall('\d{4}', instance.year_mention or '') if
int(year) >= settings.MIN_YEAR and int(year) <= settings.MAX_YEAR
]
def get_instances_from_related(self, related_instance):
if isinstance(related_instance, LegislationArticle):
return related_instance.legislation
else: # it's a TaxonomyClassification or TaxonomyTag
return related_instance.legislation_set.all()
class Meta:
model = Legislation # The model associated with this DocType
# The fields of the model to be indexed in Elasticsearch
fields = [
'id',
'title',
'abstract',
'year',
'year_amendment',
]
related_models = [
LegislationArticle, TaxonomyClassification, TaxonomyTag
]
class MappingDocument(Document):
class Index:
name = 'mappings'
settings = {'number_of_shards': 1, 'number_of_replicas': 0}
class Django:
model = Mapping
fields = ['external_id']
last_update = fields.DateField(attr='updated_at')
owner = fields.KeywordField(attr='owner_name', normalizer="lowercase")
owner_type = fields.KeywordField(attr='owner_type')
source = fields.KeywordField(attr='source', normalizer="lowercase")
retired = fields.KeywordField(attr='retired')
is_active = fields.KeywordField(attr='is_active')
is_latest_version = fields.KeywordField(attr='is_latest_version')
map_type = fields.KeywordField(attr='map_type', normalizer="lowercase")
from_concept = fields.ListField(fields.KeywordField())
to_concept = fields.ListField(fields.KeywordField())
concept = fields.ListField(fields.KeywordField())
concept_source = fields.ListField(fields.KeywordField())
concept_owner = fields.ListField(fields.KeywordField())
from_concept_owner = fields.KeywordField(attr='from_source_owner')
to_concept_owner = fields.KeywordField(attr='to_source_owner')
concept_owner_type = fields.ListField(
fields.KeywordField(attr='to_source_owner'))
from_concept_owner_type = fields.KeywordField(
attr='from_source_owner_type')
to_concept_owner_type = fields.KeywordField(attr='to_source_owner_type')
from_concept_source = fields.KeywordField(attr='from_source_name')
to_concept_source = fields.KeywordField(attr='to_source_name')
source_version = fields.ListField(fields.KeywordField())
collection_version = fields.ListField(fields.KeywordField())
collection = fields.ListField(fields.KeywordField())
collection_owner_url = fields.ListField(fields.KeywordField())
public_can_view = fields.BooleanField(attr='public_can_view')
id = fields.KeywordField(attr='mnemonic', normalizer="lowercase")
extras = fields.ObjectField(dynamic=True)
created_by = fields.KeywordField(attr='created_by.username')
@staticmethod
def prepare_from_concept(instance):
from_concept_name = get(instance, 'from_concept_name') or get(
instance, 'from_concept.display_name')
return [
instance.from_concept_url, instance.from_concept_code,
from_concept_name
]
@staticmethod
def prepare_to_concept(instance):
return [instance.get_to_concept_code(), instance.get_to_concept_name()]
def prepare_concept(self, instance):
return self.prepare_from_concept(instance) + self.prepare_to_concept(
instance)
@staticmethod
def prepare_concept_source(instance):
return [instance.from_source_name, instance.to_source_name]
@staticmethod
def prepare_concept_owner(instance):
return [instance.from_source_owner, instance.to_source_owner]
@staticmethod
def prepare_concept_owner_type(instance):
return [instance.from_source_owner_type, instance.to_source_owner_type]
@staticmethod
def prepare_source_version(instance):
return list(instance.sources.values_list('version', flat=True))
@staticmethod
def prepare_collection_version(instance):
return list(instance.collection_set.values_list('version', flat=True))
@staticmethod
def prepare_collection(instance):
return list(
set(
list(instance.collection_set.values_list('mnemonic',
flat=True))))
@staticmethod
def prepare_collection_owner_url(instance):
return list({
coll.parent_url
for coll in instance.collection_set.select_related(
'user', 'organization')
})
@staticmethod
def prepare_extras(instance):
value = {}
if instance.extras:
value = jsonify_safe(instance.extras)
if isinstance(value, dict):
value = flatten_dict(value)
return value or {}
class VariableDocument(GenericDataDocument):
"""Search document data.Variable"""
name = fields.TextField(analyzer=n_gram_analyzer)
dataset = fields.ObjectField(
properties={
"name": fields.TextField(),
"label": fields.TextField(),
"label_de": fields.TextField(),
})
categories = fields.ObjectField(
properties={
"labels": fields.ListField(fields.TextField(analyzer="english")),
"labels_de": fields.ListField(fields.TextField(analyzer="german")),
})
conceptual_dataset = fields.KeywordField()
@staticmethod
def _get_study(model_object: Variable) -> Study:
study: Study = model_object.dataset.study
return study
def prepare_analysis_unit(self, variable: Variable) -> Optional[str]:
"""Return the related analysis_unit's or None"""
return self._handle_missing_content(variable.dataset.analysis_unit)
@staticmethod
def prepare_categories(variable: Variable) -> Dict[str, List[str]]:
"""Return the variable's categories, only labels and labels_de"""
output = {}
for key in ("labels", "labels_de"):
labels = variable.categories.get(key)
if labels:
output[key] = list(
filter(
lambda label: not re.match(r"\[-\d+\].*", label),
labels,
))
return output
def prepare_conceptual_dataset(self, variable: Variable) -> Optional[str]:
"""Return the related conceptual_dataset' title or None"""
return self._handle_missing_content(
variable.dataset.conceptual_dataset)
def prepare_period(self, variable: Variable) -> Optional[str]:
"""Return the related period's title or None"""
return self._handle_missing_content(variable.dataset.period)
class Index: # pylint: disable=missing-docstring,too-few-public-methods
name = f"{settings.ELASTICSEARCH_DSL_INDEX_PREFIX}variables"
class Django: # pylint: disable=missing-docstring,too-few-public-methods
model = Variable
def get_queryset(self) -> QuerySet:
"""
Return the queryset that should be indexed by this doc type,
with select related
dataset, analysis_unit, conceptual_dataset, period and study.
"""
return (super().get_queryset().select_related(
"concept",
"dataset",
"dataset__analysis_unit",
"dataset__conceptual_dataset",
"dataset__period",
"dataset__study",
))
class LegislationDocument(Document):
classifications = fields.TextField(term_vector="with_positions_offsets")
section_classifications = fields.TextField(
term_vector="with_positions_offsets")
tags = fields.TextField(term_vector="with_positions_offsets")
section_tags = fields.TextField(term_vector="with_positions_offsets")
country = fields.KeywordField()
country_name = fields.KeywordField(attr="country.name")
law_type = fields.KeywordField()
pdf_text = fields.TextField()
year_mentions = fields.ListField(fields.IntegerField())
sections = fields.NestedField(
properties={
"pk":
fields.IntegerField(),
"code":
fields.KeywordField(),
"text":
fields.TextField(),
"classifications_text":
fields.TextField(term_vector="with_positions_offsets"),
"parent_classifications":
fields.TextField(term_vector="with_positions_offsets"),
"tags_text":
fields.TextField(term_vector="with_positions_offsets"),
"parent_tags":
fields.TextField(term_vector="with_positions_offsets"),
})
def prepare_classifications(self, instance):
classification_names = instance.classifications.all().values_list(
"name",
"code",
)
classification_names = [
"{} ({})".format(x[0], x[1]) for x in classification_names
]
if CONN in "".join(classification_names):
raise ValidationError(
"Classification names must not include the character "
"'{}'.".format(CONN))
return CONN.join(classification_names)
def prepare_section_classifications(self, instance):
classification_names = {
"{} ({})".format(cl.name, cl.code)
for cl in [
item for sublist in [
section.classifications.all()
for section in instance.sections.all()
] for item in sublist
]
}
if CONN in "".join(classification_names):
raise ValidationError(
"Classification names must not include the character "
"'{}'.".format(CONN))
return CONN.join(classification_names)
def prepare_tags(self, instance):
tag_names = instance.tags.all().values_list("name", flat=True)
if CONN in "".join(tag_names):
raise ValidationError(
"Tag names must not include the character '{}'.".format(CONN))
return CONN.join(tag_names)
def prepare_section_tags(self, instance):
tag_names = {
tag.name
for tag in [
item for sublist in
[section.tags.all() for section in instance.sections.all()]
for item in sublist
]
}
if CONN in "".join(tag_names):
raise ValidationError(
"Tag names must not include the character '{}'.".format(CONN))
return CONN.join(tag_names)
def prepare_country(self, instance):
return instance.country.iso
def prepare_pdf_text(self, instance):
return "\n\n".join([page.page_text for page in instance.pages.all()])
def prepare_year_mentions(self, instance):
return [
int(year)
for year in re.findall("\d{4}", instance.year_mention or "") if
int(year) >= settings.MIN_YEAR and int(year) <= settings.MAX_YEAR
]
def get_instances_from_related(self, related_instance):
if isinstance(related_instance, LegislationSection):
return related_instance.legislation
else: # it's a TaxonomyClassification or TaxonomyTag
return related_instance.legislation_set.all()
class Django:
model = Legislation # The model associated with this Document
# The fields of the model to be indexed in Elasticsearch
fields = [
"id",
"title",
"abstract",
"year",
"year_amendment",
]
related_models = [
LegislationSection, TaxonomyClassification, TaxonomyTag
]
class QuestionDocument(GenericDataDocument):
"""Search document instruments.Question"""
instrument = fields.ObjectField(
properties={
"name": fields.TextField(),
"label": fields.TextField(),
"label_de": fields.TextField(),
})
items = fields.ObjectField(
properties={
"en": fields.ListField(fields.TextField(analyzer="english")),
"de": fields.ListField(fields.TextField(analyzer="german")),
})
@staticmethod
def _get_study(model_object: Question) -> Study:
study: Study = getattr(model_object.instrument, "study")
return study
# lookup methods
@staticmethod
def prepare_analysis_unit(question: Question) -> Optional[str]:
"""Return the related analysis_unit's or None"""
try:
return question.instrument.analysis_unit.title()
except AttributeError:
return None
@staticmethod
def prepare_period(question: Question) -> Optional[str]:
"""Return the related period's title or None"""
try:
return question.instrument.period.title()
except AttributeError:
return None
@staticmethod
def prepare_items(question: Question) -> Dict:
"""Return the question's items, containing text, text_de and answers"""
items = {"en": [], "de": []}
for item in question.items:
text = item.get("text")
text_de = item.get("text_de")
if text:
items["en"].append(text)
if text_de:
items["de"].append(text_de)
answers = item.get("answers", [])
for answer in answers:
label = answer.get("label")
label_de = answer.get("label_de")
if label:
items["en"].append(label)
if label_de:
items["de"].append(label_de)
return items
class Index: # pylint: disable=too-few-public-methods missing-class-docstring
name = f"{settings.ELASTICSEARCH_DSL_INDEX_PREFIX}questions"
class Django: # pylint: disable=too-few-public-methods missing-class-docstring
model = Question
def get_queryset(self) -> QuerySet:
"""
Return the queryset that should be indexed by this doc type,
with select related instrument, study, period.
"""
return (super().get_queryset().select_related(
"instrument",
"instrument__analysis_unit",
"instrument__period",
"instrument__study",
).only(
"items",
"name",
"label",
"label_de",
"instrument__name",
"instrument__label",
"instrument__analysis_unit__name",
"instrument__analysis_unit__label",
"instrument__period__name",
"instrument__period__label",
"instrument__study__name",
"instrument__study__label",
))
class ConceptDocument(Document):
class Index:
name = 'concepts'
settings = {'number_of_shards': 1, 'number_of_replicas': 0}
id = fields.KeywordField(attr='mnemonic', normalizer="lowercase")
name = fields.TextField()
_name = fields.KeywordField(attr='display_name', normalizer='lowercase')
last_update = fields.DateField(attr='updated_at')
locale = fields.ListField(fields.KeywordField())
source = fields.KeywordField(attr='parent_resource',
normalizer="lowercase")
owner = fields.KeywordField(attr='owner_name', normalizer="lowercase")
owner_type = fields.KeywordField(attr='owner_type')
source_version = fields.ListField(fields.KeywordField())
collection_version = fields.ListField(fields.KeywordField())
collection = fields.ListField(fields.KeywordField())
collection_owner_url = fields.ListField(fields.KeywordField())
public_can_view = fields.BooleanField(attr='public_can_view')
datatype = fields.KeywordField(attr='datatype', normalizer="lowercase")
concept_class = fields.KeywordField(attr='concept_class',
normalizer="lowercase")
retired = fields.KeywordField(attr='retired')
is_active = fields.KeywordField(attr='is_active')
is_latest_version = fields.KeywordField(attr='is_latest_version')
extras = fields.ObjectField(dynamic=True)
class Django:
model = Concept
fields = [
'version',
'external_id',
]
@staticmethod
def prepare_name(instance):
name = instance.display_name
if name:
name = name.replace('-', '_')
return name
@staticmethod
def prepare_locale(instance):
return list(
instance.names.filter(
locale__isnull=False).distinct('locale').values_list(
'locale', flat=True))
@staticmethod
def prepare_source_version(instance):
return list(instance.sources.values_list('version', flat=True))
@staticmethod
def prepare_collection_version(instance):
return list(instance.collection_set.values_list('version', flat=True))
@staticmethod
def prepare_collection(instance):
return list(
set(
list(instance.collection_set.values_list('mnemonic',
flat=True))))
@staticmethod
def prepare_collection_owner_url(instance):
return list({
coll.parent_url
for coll in instance.collection_set.select_related(
'user', 'organization')
})
@staticmethod
def prepare_extras(instance):
value = {}
if instance.extras:
value = jsonify_safe(instance.extras)
if isinstance(value, dict):
value = flatten_dict(value)
return value or {}
class PageDocument(DocType):
document = fields.IntegerField(attr='document_id')
title = fields.TextField()
description = fields.TextField()
tags = fields.ListField(fields.KeywordField())
created_at = fields.DateField()
publicbody = fields.IntegerField(attr='document.publicbody_id')
jurisdiction = fields.IntegerField(
attr='document.publicbody.jurisdiction_id')
foirequest = fields.IntegerField(attr='document.foirequest_id')
campaign = fields.IntegerField(attr='document.foirequest.campaign_id')
collections = fields.IntegerField()
user = fields.IntegerField(attr='document.user_id')
team = fields.IntegerField(attr='document.team_id')
public = fields.BooleanField()
number = fields.IntegerField()
content = fields.TextField(
analyzer=analyzer,
search_analyzer=search_analyzer,
search_quote_analyzer=search_quote_analyzer,
index_options='offsets',
)
class Meta:
model = Page
queryset_chunk_size = 50
def get_queryset(self):
"""Not mandatory but to improve performance we can select related in one sql request"""
return super().get_queryset().select_related('document', )
def prepare_title(self, obj):
if obj.number == 1:
if obj.document.title.endswith('.pdf'):
return ''
return obj.document.title
return ''
def prepare_description(self, obj):
if obj.number == 1:
return obj.document.description
return ''
def prepare_tags(self, obj):
return [tag.id for tag in obj.document.tags.all()]
def prepare_created_at(self, obj):
return obj.document.created_at
def prepare_public(self, obj):
return obj.document.is_public()
def prepare_team(self, obj):
if obj.document.team_id:
return obj.document.team_id
return None
def prepare_collections(self, obj):
collections = obj.document.document_documentcollection.all()
return list(collections.values_list('id', flat=True))
class MappingDocument(Document):
class Index:
name = 'mappings'
settings = {'number_of_shards': 1, 'number_of_replicas': 0}
class Django:
model = Mapping
fields = ['external_id']
last_update = fields.DateField(attr='updated_at')
owner = fields.KeywordField(attr='owner_name', normalizer="lowercase")
owner_type = fields.KeywordField(attr='owner_type')
source = fields.KeywordField(attr='source', normalizer="lowercase")
retired = fields.KeywordField(attr='retired')
is_active = fields.KeywordField(attr='is_active')
is_latest_version = fields.KeywordField(attr='is_latest_version')
map_type = fields.KeywordField(attr='map_type', normalizer="lowercase")
from_concept = fields.ListField(fields.KeywordField())
to_concept = fields.ListField(fields.KeywordField())
concept = fields.ListField(fields.KeywordField())
concept_source = fields.ListField(fields.KeywordField())
concept_owner = fields.ListField(fields.KeywordField())
from_concept_owner = fields.KeywordField(attr='from_source_owner')
to_concept_owner = fields.KeywordField(attr='to_source_owner')
concept_owner_type = fields.ListField(
fields.KeywordField(attr='to_source_owner'))
from_concept_owner_type = fields.KeywordField(
attr='from_source_owner_type')
to_concept_owner_type = fields.KeywordField(attr='to_source_owner_type')
from_concept_source = fields.KeywordField(attr='from_source_name')
to_concept_source = fields.KeywordField(attr='to_source_name')
source_version = fields.ListField(fields.TextField())
collection_version = fields.ListField(fields.TextField())
collection = fields.ListField(fields.KeywordField())
public_can_view = fields.BooleanField(attr='public_can_view')
id = fields.KeywordField(attr='mnemonic', normalizer="lowercase")
extras = fields.ObjectField()
@staticmethod
def prepare_from_concept(instance):
return [
instance.from_concept_url, instance.from_concept_code,
instance.from_concept_name
]
@staticmethod
def prepare_to_concept(instance):
return [instance.get_to_concept_code(), instance.get_to_concept_name()]
def prepare_concept(self, instance):
return self.prepare_from_concept(instance) + self.prepare_to_concept(
instance)
@staticmethod
def prepare_concept_source(instance):
return [instance.from_source_name, instance.to_source_name]
@staticmethod
def prepare_concept_owner(instance):
return [instance.from_source_owner, instance.to_source_owner]
@staticmethod
def prepare_concept_owner_type(instance):
return [instance.from_source_owner_type, instance.to_source_owner_type]
@staticmethod
def prepare_source_version(instance):
return list(instance.sources.values_list('version', flat=True))
@staticmethod
def prepare_collection_version(instance):
return list(instance.collection_set.values_list('version', flat=True))
@staticmethod
def prepare_collection(instance):
return list(
set(
list(instance.collection_set.values_list('mnemonic',
flat=True))))
@staticmethod
def prepare_extras(instance):
return instance.extras or {}
class CollectionItemDocument(DocType):
"""Collection item document."""
# ID
id = fields.IntegerField(attr='id')
record_number = KeywordField()
inventory_number = KeywordField()
api_url = KeywordField(index="not_analyzed")
web_url = KeywordField(index="not_analyzed")
# ********************************************************************
# *************** Main data fields for search and filtering **********
# ********************************************************************
importer_uid = KeywordField(attr='importer_uid_indexing')
language_code_orig = KeywordField(attr='language_code_orig')
department = StringField(
attr='department_indexing',
analyzer=html_strip,
fields={
'raw': KeywordField(),
'natural': StringField(analyzer='english'),
# 'suggest': fields.CompletionField(),
})
# ********************************************************************
# ***************************** English ******************************
# ********************************************************************
title_en = StringField(
attr='title_en_indexing',
analyzer=html_strip_synonyms_en,
fields={
'raw': KeywordField(),
'natural': StringField(analyzer='english'),
# 'suggest': fields.CompletionField(),
})
description_en = StringField(
attr='description_en_indexing',
analyzer=html_strip_synonyms_en,
fields={
'raw': KeywordField(),
'natural': StringField(analyzer='english'),
# 'suggest': fields.CompletionField(),
})
period_en = StringField(
attr='period_en_indexing',
analyzer=html_strip_synonyms_en,
fields={
'raw': KeywordField(),
'natural': StringField(analyzer='english'),
# 'suggest': fields.CompletionField(),
})
period_1_en = fields.NestedField(
attr='period_1_en_indexing',
properties={
'name':
StringField(analyzer=html_strip_synonyms_en,
fields={
'raw': KeywordField(),
}),
'period_2_en':
fields.NestedField(
properties={
'name':
StringField(analyzer=html_strip_synonyms_en,
fields={
'raw': KeywordField(),
}),
'period_3_en':
fields.NestedField(
properties={
'name':
StringField(analyzer=html_strip_synonyms_en,
fields={
'raw': KeywordField(),
}),
'period_4_en':
fields.NestedField(
properties={
'name':
StringField(
analyzer=html_strip_synonyms_en,
fields={
'raw': KeywordField(),
})
})
})
})
})
primary_object_type_en = StringField(
attr='primary_object_type_en_indexing',
analyzer=html_strip_synonyms_en,
fields={
'raw': KeywordField(),
'natural': StringField(analyzer='english'),
'suggest': fields.CompletionField(),
})
object_type_en = StringField(attr='object_type_en_indexing',
analyzer=html_strip_synonyms_en,
fields={
'raw': KeywordField(),
'natural':
StringField(analyzer='english'),
'suggest': fields.CompletionField(),
})
# To be shown on the detail page
object_type_detail_en = fields.TextField(
attr='object_type_detail_en_indexing', index='no')
material_en = StringField(
attr='material_en_indexing',
analyzer=html_strip_synonyms_en,
fields={
'raw': KeywordField(),
'natural': StringField(analyzer='english'),
# 'suggest': fields.CompletionField(),
})
# To be shown on the detail page
material_detail_en = fields.TextField(attr='material_detail_en_indexing',
index='no')
city_en = StringField(
attr='city_en_indexing',
analyzer=html_strip_synonyms_en,
fields={
'raw': KeywordField(),
'natural': StringField(analyzer='english'),
# 'suggest': fields.CompletionField(),
})
country_en = StringField(
attr='country_en_indexing',
analyzer=html_strip_synonyms_en,
fields={
'raw': KeywordField(),
'natural': StringField(analyzer='english'),
# 'suggest': fields.CompletionField(),
})
# To be shown on the detail page
references_en = fields.TextField(attr='references_en_indexing', index='no')
# To be shown on the detail page
acquired_en = fields.TextField(attr='acquired_en_indexing', index='no')
# To be shown on the detail page
site_found_en = fields.TextField(attr='site_found_en_indexing', index='no')
# To be shown on the detail page
reign_en = fields.TextField(attr='reign_en_indexing', index='no')
# To be shown on the detail page
keywords_en = fields.TextField(attr='keywords_en_indexing', index='no')
# To be shown on the detail page
dynasty_en = fields.TextField(attr='dynasty_en_indexing', index='no')
# New fields
# To be shown on the detail page
credit_line_en = fields.TextField(attr='credit_line_en_indexing',
index='no')
# To be shown on the detail page
region_en = fields.TextField(attr='region_en_indexing', index='no')
# To be shown on the detail page
sub_region_en = fields.TextField(attr='sub_region_en_indexing', index='no')
# To be shown on the detail page
locale_en = fields.TextField(attr='locale_en_indexing', index='no')
# To be shown on the detail page
excavation_en = fields.TextField(attr='excavation_en_indexing', index='no')
# To be shown on the detail page
museum_collection_en = fields.TextField(
attr='museum_collection_en_indexing', index='no')
# To be shown on the detail page
style_en = fields.TextField(attr='style_en_indexing', index='no')
# To be shown on the detail page
culture_en = fields.TextField(attr='culture_en_indexing', index='no')
# To be shown on the detail page
inscriptions_en = fields.TextField(attr='inscriptions_en_indexing',
index='no')
# To be shown on the detail page
provenance_en = fields.TextField(attr='provenance_en_indexing', index='no')
# To be shown on the detail page
exhibitions_en = fields.TextField(attr='exhibitions_en_indexing',
index='no')
# ********************************************************************
# ****************************** Dutch *******************************
# ********************************************************************
title_nl = StringField(
attr='title_nl_indexing',
analyzer=html_strip_synonyms_nl,
fields={
'raw': KeywordField(),
'natural': StringField(analyzer='dutch'),
# 'suggest': fields.CompletionField(),
})
description_nl = StringField(
attr='description_nl_indexing',
analyzer=html_strip_synonyms_nl,
fields={
'raw': KeywordField(),
'natural': StringField(analyzer='dutch'),
# 'suggest': fields.CompletionField(),
})
period_nl = StringField(
attr='period_nl_indexing',
analyzer=html_strip_synonyms_nl,
fields={
'raw': KeywordField(),
'natural': StringField(analyzer='dutch'),
# 'suggest': fields.CompletionField(),
})
period_1_nl = fields.NestedField(
attr='period_1_nl_indexing',
properties={
'name':
StringField(analyzer=html_strip_synonyms_nl,
fields={
'raw': KeywordField(),
}),
'period_2_nl':
fields.NestedField(
properties={
'name':
StringField(analyzer=html_strip_synonyms_nl,
fields={
'raw': KeywordField(),
}),
'period_3_nl':
fields.NestedField(
properties={
'name':
StringField(analyzer=html_strip_synonyms_nl,
fields={
'raw': KeywordField(),
}),
'period_4_nl':
fields.NestedField(
properties={
'name':
StringField(
analyzer=html_strip_synonyms_nl,
fields={
'raw': KeywordField(),
})
})
})
})
})
primary_object_type_nl = StringField(
attr='primary_object_type_nl_indexing',
analyzer=html_strip_synonyms_nl,
fields={
'raw': KeywordField(),
'natural': StringField(analyzer='dutch'),
'suggest': fields.CompletionField(),
})
object_type_nl = StringField(attr='object_type_nl_indexing',
analyzer=html_strip_synonyms_nl,
fields={
'raw': KeywordField(),
'natural': StringField(analyzer='dutch'),
'suggest': fields.CompletionField(),
})
# To be shown on the detail page
object_type_detail_nl = fields.TextField(
attr='object_type_detail_nl_indexing', index='no')
material_nl = StringField(
attr='material_nl_indexing',
analyzer=html_strip_synonyms_nl,
fields={
'raw': KeywordField(),
'natural': StringField(analyzer='dutch'),
# 'suggest': fields.CompletionField(),
})
# To be shown on the detail page
material_detail_nl = fields.TextField(attr='material_detail_nl_indexing',
index='no')
city_nl = StringField(
attr='city_nl_indexing',
analyzer=html_strip_synonyms_nl,
fields={
'raw': KeywordField(),
'natural': StringField(analyzer='dutch'),
# 'suggest': fields.CompletionField(),
})
country_nl = StringField(
attr='country_nl_indexing',
analyzer=html_strip_synonyms_nl,
fields={
'raw': KeywordField(),
'natural': StringField(analyzer='dutch'),
# 'suggest': fields.CompletionField(),
})
# To be shown on the detail page
keywords_nl = fields.TextField(attr='keywords_nl_indexing', index='no')
# To be shown on the detail page
acquired_nl = fields.TextField(attr='acquired_nl_indexing', index='no')
# To be shown on the detail page
site_found_nl = fields.TextField(attr='site_found_nl_indexing', index='no')
# To be shown on the detail page
reign_nl = fields.TextField(attr='reign_nl_indexing', index='no')
# To be shown on the detail page
references_nl = fields.TextField(attr='references_nl_indexing', index='no')
# To be shown on the detail page
dynasty_nl = fields.TextField(attr='dynasty_nl_indexing', index='no')
# New fields
# To be shown on the detail page
credit_line_nl = fields.TextField(attr='credit_line_nl_indexing',
index='no')
# To be shown on the detail page
region_nl = fields.TextField(attr='region_nl_indexing', index='no')
# To be shown on the detail page
sub_region_nl = fields.TextField(attr='sub_region_nl_indexing', index='no')
# To be shown on the detail page
locale_nl = fields.TextField(attr='locale_nl_indexing', index='no')
# To be shown on the detail page
excavation_nl = fields.TextField(attr='excavation_nl_indexing', index='no')
# To be shown on the detail page
museum_collection_nl = fields.TextField(
attr='museum_collection_nl_indexing', index='no')
# To be shown on the detail page
style_nl = fields.TextField(attr='style_nl_indexing', index='no')
# To be shown on the detail page
culture_nl = fields.TextField(attr='culture_nl_indexing', index='no')
# To be shown on the detail page
inscriptions_nl = fields.TextField(attr='inscriptions_nl_indexing',
index='no')
# To be shown on the detail page
provenance_nl = fields.TextField(attr='provenance_nl_indexing', index='no')
# To be shown on the detail page
exhibitions_nl = fields.TextField(attr='exhibitions_nl_indexing',
index='no')
# ********************************************************************
# ************************** Language independent ********************
# ********************************************************************
dimensions = StringField(
attr='dimensions_indexing',
analyzer=html_strip,
fields={
'raw': KeywordField(),
'natural': StringField(),
# 'suggest': fields.CompletionField(),
})
object_date_begin = StringField(
attr='object_date_begin_indexing',
analyzer=html_strip,
fields={
'raw': KeywordField(),
'natural': StringField(),
# 'suggest': fields.CompletionField(),
})
object_date_end = StringField(
attr='object_date_end_indexing',
analyzer=html_strip,
fields={
'raw': KeywordField(),
'natural': StringField(),
# 'suggest': fields.CompletionField(),
})
location = fields.GeoPointField(attr='geo_location_indexing')
# List of 32x32 PNG versions of the images. Full path to.
images = fields.ListField(StringField(attr='images_indexing'))
# List of image URLs.
images_urls = fields.ListField(
fields.ObjectField(attr='images_urls_indexing',
properties={
'th': KeywordField(index="not_analyzed"),
'lr': KeywordField(index="not_analyzed"),
}))
# Classified as by our AI
classified_as = fields.ListField(
StringField(attr='classified_as_indexing',
fields={
'raw': KeywordField(),
}))
# Classified as 1st element
classified_as_1 = StringField(attr='classified_as_1_indexing',
fields={
'raw': KeywordField(),
})
# Classified as 2nd element
classified_as_2 = StringField(attr='classified_as_2_indexing',
fields={
'raw': KeywordField(),
})
# Classified as 3rd element
classified_as_3 = StringField(attr='classified_as_3_indexing',
fields={
'raw': KeywordField(),
})
# ********************************************************************
# ************** Nested fields for search and filtering **************
# ********************************************************************
# # City object
# country = fields.NestedField(
# properties={
# 'name': StringField(
# analyzer=html_strip,
# fields={
# 'raw': KeywordField(),
# 'suggest': fields.CompletionField(),
# }
# ),
# 'info': StringField(analyzer=html_strip),
# 'location': fields.GeoPointField(attr='location_field_indexing'),
# }
# )
#
# location = fields.GeoPointField(attr='location_field_indexing')
class Meta(object):
"""Meta options."""
model = Item # The model associate with this DocType
def get_queryset(self):
"""Filter out items that are not eligible for indexing."""
qs = super(CollectionItemDocument, self).get_queryset()
# qs = qs.select_related('period_node').prefetch_related('images')
filters = []
for field in ['title']:
for language in ['en', 'nl']:
filters.extend([
Q(**{"{}_{}__isnull".format(field, language): True}),
Q(**{"{}_{}__exact".format(field, language): ''}),
])
if filters:
qs = qs.exclude(six.moves.reduce(operator.or_, filters))
# We concatenate ``object_type`` and ``classification`` fields, after
# cleaning them. Therefore, db-only checks don't work here.
ids = []
for item in qs:
if not (item.object_type_en_indexing
and item.object_type_nl_indexing):
ids.append(item.pk)
return qs.exclude(id__in=ids)
def prepare_department(self, instance):
"""Prepare department."""
return instance.department_indexing \
if instance.department_indexing\
else VALUE_NOT_SPECIFIED
def prepare_object_date_begin(self, instance):
"""Prepare material."""
return instance.object_date_begin_indexing
def prepare_object_date_end(self, instance):
"""Prepare material."""
return instance.object_date_end_indexing
# ********************************************************************
# ***************************** English ******************************
# ********************************************************************
def prepare_material_en(self, instance):
"""Prepare material."""
return instance.material_en_indexing \
if instance.material_en_indexing\
else VALUE_NOT_SPECIFIED
def prepare_period_en(self, instance):
"""Prepare state."""
return instance.period_en_indexing \
if instance.period_en_indexing \
else VALUE_NOT_SPECIFIED
def prepare_dynasty_en(self, instance):
"""Prepare dynasty."""
return instance.dynasty_en_indexing \
if instance.dynasty_en_indexing \
else VALUE_NOT_SPECIFIED
def prepare_description_en(self, instance):
"""Prepare description."""
return instance.description_en_indexing \
if instance.description_en_indexing\
else VALUE_NOT_SPECIFIED
def prepare_city_en(self, instance):
"""Prepare city."""
return instance.city_en_indexing \
if instance.city_en_indexing\
else VALUE_NOT_SPECIFIED
def prepare_country_en(self, instance):
"""Prepare country."""
return instance.country_en_indexing \
if instance.country_en_indexing \
else VALUE_NOT_SPECIFIED
# ********************************************************************
# ****************************** Dutch *******************************
# ********************************************************************
def prepare_material_nl(self, instance):
"""Prepare material."""
return instance.material_nl_indexing \
if instance.material_nl_indexing\
else VALUE_NOT_SPECIFIED
def prepare_period_nl(self, instance):
"""Prepare state."""
return instance.period_nl_indexing \
if instance.period_nl_indexing \
else VALUE_NOT_SPECIFIED
def prepare_dynasty_nl(self, instance):
"""Prepare dynasty."""
return instance.dynasty_nl_indexing \
if instance.dynasty_nl_indexing \
else VALUE_NOT_SPECIFIED
def prepare_description_nl(self, instance):
"""Prepare description."""
return instance.description_nl_indexing \
if instance.description_nl_indexing\
else VALUE_NOT_SPECIFIED
def prepare_city_nl(self, instance):
"""Prepare city."""
return instance.city_nl_indexing \
if instance.city_nl_indexing\
else VALUE_NOT_SPECIFIED
def prepare_country_nl(self, instance):
"""Prepare country."""
return instance.country_nl_indexing \
if instance.country_nl_indexing \
else VALUE_NOT_SPECIFIED
class SourceDocument(Document):
class Index:
name = 'sources'
settings = {'number_of_shards': 1, 'number_of_replicas': 0}
locale = fields.ListField(fields.KeywordField())
last_update = fields.DateField(attr='updated_at')
owner = fields.KeywordField(attr='parent_resource', normalizer='lowercase')
owner_type = fields.KeywordField(attr='parent_resource_type')
public_can_view = fields.TextField(attr='public_can_view')
source_type = fields.KeywordField(attr='source_type',
normalizer='lowercase')
is_active = fields.KeywordField(attr='is_active')
version = fields.KeywordField(attr='version')
name = fields.KeywordField(attr='name', normalizer='lowercase')
canonical_url = fields.KeywordField(attr='canonical_url',
normalizer='lowercase')
mnemonic = fields.KeywordField(attr='mnemonic', normalizer='lowercase')
extras = fields.ObjectField(dynamic=True)
identifier = fields.ObjectField()
jurisdiction = fields.ObjectField()
publisher = fields.KeywordField(attr='publisher', normalizer='lowercase')
content_type = fields.KeywordField(attr='content_type',
normalizer='lowercase')
custom_validation_schema = fields.KeywordField(
attr='custom_validation_schema', normalizer='lowercase')
hierarchy_meaning = fields.KeywordField(attr='hierarchy_meaning',
normalizer='lowercase')
created_by = fields.KeywordField()
class Django:
model = Source
fields = [
'full_name',
'revision_date',
'retired',
'experimental',
'case_sensitive',
'compositional',
'version_needed',
'external_id',
]
@staticmethod
def prepare_locale(instance):
return get(instance.supported_locales, [])
@staticmethod
def prepare_extras(instance):
value = {}
if instance.extras:
value = jsonify_safe(instance.extras)
if isinstance(value, dict):
value = flatten_dict(value)
return value or {}
@staticmethod
def prepare_identifier(instance):
value = {}
if instance.identifier:
value = jsonify_safe(instance.identifier)
return value or {}
@staticmethod
def prepare_jurisdiction(instance):
value = {}
if instance.jurisdiction:
value = jsonify_safe(instance.jurisdiction)
return value or {}
@staticmethod
def prepare_created_by(instance):
return instance.created_by.username
