class SkillDocument(DocType):
title = fields.StringField(analyzer=title_analyzer)
def prepare_title(self, instance):
return instance.name
class Meta:
model = Skill
fields = ['name', 'description', 'is_published']
class ManufacturerDocument(DocType):
country = fields.StringField()
class Meta:
model = Manufacturer
fields = [
'name',
'created',
'country_code',
]
class OrderDocument(DocType):
user = fields.StringField(analyzer=email_analyzer)
def prepare_user(self, instance):
if instance.user:
return instance.user.email
return instance.user_email
class Meta:
model = Order
fields = ['user_email', 'discount_name']
class ContactDocument(DocType):
full_name = fields.TextField(
attr='_get_fullname',
fields={
'raw': fields.StringField(analyzer='keyword'),
'suggest': fields.CompletionField(attr='_get_fullname')
})
class Meta:
model = Contact
fields = ['first_name', 'last_name']
class ArticleDocument(DocType):
"""Article elasticsearch document"""
id = fields.IntegerField(attr='id')
title = fields.StringField(analyzer=html_strip,
fields={
'raw':
fields.StringField(analyzer='keyword'),
})
body = fields.TextField(analyzer=html_strip,
fields={
'raw': fields.TextField(analyzer='keyword'),
})
author = fields.IntegerField(attr='author_id')
created = fields.DateField()
modified = fields.DateField()
pub_date = fields.DateField()
class Meta:
model = articles_models.Article
class DataFileDocument(Document):
class Index:
name = 'datafile'
settings = {'number_of_shards': 1, 'number_of_replicas': 0}
filename = fields.TextField(fields={'raw': fields.KeywordField()},
analyzer=analyzer)
created_time = fields.DateField()
modification_time = fields.DateField()
dataset = fields.NestedField(
properties={
'id':
fields.IntegerField(),
'experiments':
fields.NestedField(
properties={
'id':
fields.IntegerField(),
'objectacls':
fields.ObjectField(
properties={
'pluginId': fields.StringField(),
'entityId': fields.StringField()
}),
'public_access':
fields.IntegerField()
}),
})
class Django:
model = DataFile
related_models = [Dataset, Experiment]
queryset_pagination = 100000
def get_instances_from_related(self, related_instance):
if isinstance(related_instance, Dataset):
return related_instance.datafile_set.all()
if isinstance(related_instance, Experiment):
return DataFile.objects.filter(
dataset__experiments=related_instance)
return None
class UserDocument(DocType):
user = fields.StringField(analyzer=email_analyzer)
first_name = fields.StringField()
last_name = fields.StringField()
def prepare_user(self, instance):
return instance.email
def prepare_first_name(self, instance):
address = instance.default_billing_address
if address:
return address.first_name
def prepare_last_name(self, instance):
address = instance.default_billing_address
if address:
return address.last_name
class Meta:
model = User
fields = ['email']
class NoteDocument(DocType):
"""
Using decorator create the notedocument class
which describe the fields of note model
"""
title = fields.StringField(
analyzer=html_strip,
fields={
'raw': fields.StringField(analyzer='keyword'),
}
)
description = fields.TextField(
analyzer=html_strip,
fields={
'raw': fields.TextField(analyzer='keyword'),
}
)
color = fields.StringField(
analyzer=html_strip,
fields={
'raw': fields.StringField(analyzer='keyword'),
}
)
reminder = fields.StringField(
analyzer=html_strip,
fields={
'raw': fields.StringField(analyzer='keyword'),
}
)
# defining the meta class
class Meta(object):
model = Note
class CarDocument(DocType):
# test can override __init__
def __init__(self, *args, **kwargs):
super(CarDocument, self).__init__(*args, **kwargs)
manufacturer = fields.ObjectField(properties={
'name': fields.StringField(),
'country': fields.StringField(),
})
ads = fields.NestedField(
properties={
'description': fields.StringField(analyzer=html_strip),
'title': fields.StringField(),
'pk': fields.IntegerField(),
})
categories = fields.NestedField(
properties={
'title': fields.StringField(),
'slug': fields.StringField(),
'icon': fields.FileField(),
})
class Meta:
model = Car
fields = [
'name',
'launched',
'type',
]
def get_queryset(self):
return super(CarDocument,
self).get_queryset().select_related('manufacturer')
class JobDocument(DocType):
# ID
id = fields.IntegerField(attr='id')
title = StringField(analyzer=html_strip, fields={
'raw': KeywordField(),
})
description = fields.TextField()
have_daily_perks = fields.BooleanField()
daily_perks_budget = fields.DoubleField()
have_transportation = fields.BooleanField()
transportation_budget = fields.DoubleField()
have_meal = fields.BooleanField()
meal_budget = fields.DoubleField()
have_space_rest = fields.BooleanField()
space_rest_budget = fields.DoubleField()
is_male = fields.BooleanField()
is_female = fields.BooleanField()
age = fields.IntegerField()
hide_company = fields.BooleanField()
latitude = fields.GeoPointField()
longitude = fields.GeoPointField()
slug = fields.StringField()
publish_date = fields.DateField()
tags = fields.ObjectField(attr='tag_field_indexing',
properties={
'id': fields.IntegerField(),
'name': fields.StringField()
})
company = fields.ObjectField(attr='company_indexing',
properties={
'name': fields.StringField(),
'avatar': fields.StringField(),
'slug': fields.StringField(),
'pk': fields.IntegerField()
})
class Django:
model = Job
class NoteDocument(Document):
"""Note Elastic search document."""
class Django:
model = Note
id = fields.StringField(attr='id', analyzer="standard")
title = fields.StringField(fields={
'raw': fields.KeywordField(),
})
user = fields.StringField(attr='user_indexing',
fields={
'raw': fields.KeywordField(),
})
content = fields.StringField(fields={
'raw': fields.KeywordField(),
})
label = fields.StringField(attr='label_indexing',
fields={'raw': fields.KeywordField()})
collaborator = fields.StringField(attr='collaborator_indexing',
fields={
'raw': fields.KeywordField(),
})
is_archive = fields.BooleanField()
is_pin = fields.BooleanField()
is_trash = fields.BooleanField()
reminder = fields.DateField()
class DatasetDocument(Document):
class Index:
name = 'dataset'
settings = {'number_of_shards': 1, 'number_of_replicas': 0}
id = fields.IntegerField()
description = fields.TextField(fields={'raw': fields.KeywordField()},
analyzer=analyzer)
experiments = fields.NestedField(
properties={
'id':
fields.IntegerField(),
'title':
fields.TextField(fields={'raw': fields.KeywordField()}),
'objectacls':
fields.ObjectField(properties={
'pluginId': fields.StringField(),
'entityId': fields.StringField()
}),
'public_access':
fields.IntegerField()
})
instrument = fields.ObjectField(
properties={
'id': fields.IntegerField(),
'name': fields.TextField(fields={'raw': fields.KeywordField()}, )
})
created_time = fields.DateField()
modified_time = fields.DateField()
class Django:
model = Dataset
related_models = [Experiment, Instrument]
def get_instances_from_related(self, related_instance):
if isinstance(related_instance, Experiment):
return related_instance.datasets.all()
if isinstance(related_instance, Instrument):
return related_instance.dataset_set.all()
return None
class CarWithPrepareDocument(DocType):
manufacturer = fields.ObjectField(properties={
'name': fields.StringField(),
'country': fields.StringField(),
})
manufacturer_short = fields.ObjectField(properties={
'name': fields.StringField(),
})
class Django:
model = Car
related_models = [Manufacturer]
fields = [
'name',
'launched',
'type',
]
class Index:
name = 'car_with_prepare_index'
def prepare_manufacturer_with_related(self, car, related_to_ignore):
if (car.manufacturer is not None and car.manufacturer !=
related_to_ignore):
return {
'name': car.manufacturer.name,
'country': car.manufacturer.country(),
}
return {}
def prepare_manufacturer_short(self, car):
if car.manufacturer is not None:
return {
'name': car.manufacturer.name,
}
return {}
def get_instances_from_related(self, related_instance):
return related_instance.car_set.all()
class AcceptedDatasetSubmissionDoc(Document):
id = fields.IntegerField()
is_active = fields.BooleanField()
title = TranslatedTextField('title')
notes = TranslatedTextField('notes')
organization_name = TranslatedTextField('organization_name')
potential_possibilities = TranslatedTextField('potential_possibilities')
data_link = fields.TextField()
comment = fields.TextField()
submission_date = fields.DateField()
decision = fields.TextField()
decision_date = fields.DateField()
published_at = fields.DateField()
is_published_for_all = fields.BooleanField()
feedback = fields.NestedField(properties={
'user_id': fields.IntegerField(),
'opinion': fields.StringField()
})
feedback_counters = fields.NestedField(properties={
'plus': fields.IntegerField(),
'minus': fields.IntegerField(),
})
status = fields.TextField()
def prepare_feedback(self, instance):
return [{
'user_id': fb.user.id,
'opinion': fb.opinion
} for fb in instance.feedback.all()]
def prepare_feedback_counters(self, instance):
return instance.feedback_counters
class Index:
name = mcs.ELASTICSEARCH_INDEX_NAMES['accepted_dataset_submissions']
settings = mcs.ELASTICSEARCH_DSL_INDEX_SETTINGS
class Django:
model = AcceptedDatasetSubmission
related_models = [
SubmissionFeedback,
]
def get_instances_from_related(self, related_instance):
if isinstance(related_instance, SubmissionFeedback):
return related_instance.submission
def get_queryset(self):
return super().get_queryset().filter(
status__in=AcceptedDatasetSubmission.PUBLISHED_STATUSES)
class CarDocument(DocType):
color = fields.TextField()
type = fields.StringField()
def prepare_color(self, instance):
return "blue"
class Meta:
fields = ['name', 'price']
model = Car
index = 'car_index'
related_models = [Manufacturer]
doc_type = 'car_document'
class PackageDocument(DocType):
# manager = fields.TextField(attr='_get_manager_product')
package_name = fields.TextField(attr='_get_package_name',
fields={
'raw': fields.StringField(analyzer='keyword'),
'suggest': fields.CompletionField(attr='_get_package_name')
# contexts=[{"name": "manager", "type": "category", "path": "manager"}]),
}
)
class Meta:
model = Package
fields = ['name']
def keyword_field(**kwargs):
"""Keyword field.
:param kwargs:
:return:
"""
major = get_elasticsearch_version()[0]
if major > 2:
return fields.KeywordField(**kwargs)
else:
if 'analyzer' not in kwargs:
kwargs['analyzer'] = 'keyword'
return fields.StringField(**kwargs)
class InterventionDocument(DocType):
pk = fields.IntegerField()
#category = string_field('category_key')
category = fields.StringField(attr='category_key',
fields={
'raw':
fields.StringField(analyzer='keyword'),
})
choice = string_field('choice')
application = string_field('application')
time_unit = string_field('time_unit')
time = fields.FloatField()
substance = ObjectField(properties={'name': string_field('name')})
study = string_field('study')
route = string_field('route')
form = string_field('form')
name = string_field('name')
normed = fields.BooleanField()
raw = ObjectField(properties={'pk': fields.IntegerField()})
value = fields.FloatField()
mean = fields.FloatField()
median = fields.FloatField()
min = fields.FloatField()
max = fields.FloatField()
se = fields.FloatField()
sd = fields.FloatField()
cv = fields.FloatField()
unit = string_field('unit')
class Meta(object):
model = Intervention
# Ignore auto updating of Elasticsearch when a model is saved
# or deleted:
ignore_signals = True
# Don't perform an index refresh after every update (overrides global setting):
auto_refresh = False
class PublicDocument(DocType):
context = fields.TextField(attr="ctx")
section = fields.ObjectField(properties={
'name': fields.StringField(analyzer=html_strip),
})
# section = fields.ObjectField(properties={
# 'to_dict': fields.ObjectField()
# })
author = fields.ObjectField(properties={
'nickname': fields.StringField(analyzer=html_strip),
})
topic_public = fields.ObjectField(properties={
'title': fields.StringField(analyzer=html_strip),
'id': fields.IntegerField()
},attr='topic_public')
class Meta:
model = Public
related_models = [Section,Topic]
fields = [
'title',
'id',
'publication'
]
queryset_pagination = 20
def get_instances_from_related(self, related_instance):
"""If related_models is set, define how to retrieve the Car instance(s) from the related model.
The related_models option should be used with caution because it can lead in the index
to the updating of a lot of items.
"""
print(related_instance)
if isinstance(related_instance, Topic):
return related_instance.public_set.all()
elif isinstance(related_instance, Section):
return related_instance.public_set.all()
class CarDocument(DocType):
manufacturer = fields.ObjectField(
properties={
'name': fields.StringField(),
'country': fields.StringField(),
'logo': fields.FileField(),
})
ads = fields.NestedField(
properties={
'description': fields.StringField(analyzer=html_strip),
'title': fields.StringField(),
'pk': fields.IntegerField(),
})
categories = fields.NestedField(properties={
'title': fields.StringField(),
})
class Meta:
model = Car
related_models = [Ad, Manufacturer, Category]
fields = [
'name',
'launched',
'type',
]
def get_queryset(self):
return super(CarDocument,
self).get_queryset().select_related('manufacturer')
def get_instances_from_related(self, related_instance):
if isinstance(related_instance, Ad):
return related_instance.car
# otherwise it's a Manufacturer or a Category
return related_instance.car_set.all()
class CarDocument(DocType):
manufacturer = fields.ObjectField(properties={
'name': fields.StringField(),
'country': fields.StringField(),
})
ads = fields.NestedField(properties={
'description': fields.StringField(analyzer=html_strip),
'title': fields.StringField(),
'pk': fields.IntegerField(),
})
class Meta:
model = Car
fields = [
'name',
'launched',
'type',
]
def get_queryset(self):
return super(CarDocument, self).get_queryset().select_related(
'manufacturer')
class OrderDocument(DocType):
user = fields.StringField(analyzer=email_analyzer)
first_name = fields.StringField()
last_name = fields.StringField()
def prepare_user(self, instance):
if instance.user:
return instance.user.email
return instance.user_email
def prepare_first_name(self, instance):
if instance.user:
return get_user_first_name(instance.user)
return None
def prepare_last_name(self, instance):
if instance.user:
return get_user_last_name(instance.user)
return None
class Meta:
model = Order
fields = ['user_email', 'discount_name']
class CourseDocument(DocType):
title = fields.StringField(
attr='course_title',
fields={
'raw': fields.StringField(analyzer='keyword'),
'suggest': fields.Completion(),
}
)
course_level = fields.StringField(
attr='level',
fields={
'raw': fields.StringField(analyzer='keyword'),
}
)
class Meta:
model = Course
fields = [
'id',
'course_title',
'level'
]
class CourseDoc(Document):
id = fields.IntegerField()
title = fields.StringField()
notes = fields.TextField()
participants_number = fields.IntegerField()
venue = fields.StringField()
start = fields.DateField()
end = fields.DateField()
file_type = fields.KeywordField()
file_url = fields.KeywordField()
materials_file_type = fields.KeywordField()
materials_file_url = fields.KeywordField()
sessions = fields.NestedField(
properties={
'id': fields.IntegerField(),
'type': fields.KeywordField(),
'type_name': fields.KeywordField(),
'start': fields.DateField(),
'end': fields.DateField(),
}
)
class Index:
name = mcs.ELASTICSEARCH_INDEX_NAMES['courses']
settings = mcs.ELASTICSEARCH_DSL_INDEX_SETTINGS
class Django:
model = Course
related_models = [CourseModule, ]
def get_instances_from_related(self, related_instance):
if isinstance(related_instance, CourseModule):
return related_instance.course
def get_queryset(self):
return super().get_queryset().published()
class ManufacturerDocument(DocType):
country = fields.StringField()
class Django:
model = Manufacturer
fields = [
'name',
'created',
'country_code',
'logo',
]
class Index:
name = 'index_settings'
settings = index_settings
class PageDocument(DocType):
category = fields.ObjectField(properties={
'name': fields.StringField()
})
class Meta:
model = Page
fields = [
'title',
]
related_models = [Category]
def __str__(self):
return self.title
class BookDocument(DocType):
isbn = fields.TextField(attr="get_isbn")
author_text = fields.TextField(attr="get_authors")
author = fields.NestedField(properties={
'id': fields.IntegerField(),
'name': fields.StringField()
})
class Meta:
model = Book # The model associated with this DocType
# queryset_pagination = 50000
# The fields of the model you want to be indexed in Elasticsearch
fields = [
'id',
'title'
]
class PostDocument(DocType):
username = fields.ObjectField(properties={'username': fields.StringField()})
class Meta:
model = BlogPost
related_models=[User]
fields = [
'posted_date',
'title',
'text',
]
def get_queryset(self):
return super(PostDocument, self).get_queryset().select_related('username')
def get_instances_from_related(self, related_instance):
return related_instance.username_set.all()
class JobDocument(DocType):
founder = fields.ObjectField(
properties={
'id':
fields.IntegerField(),
'startup_name':
fields.StringField(),
'description':
fields.StringField(),
'logo':
fields.StringField(attr='logo_url'),
# 'logo_thumbnail': fields.StringField(attr='logo_thumbnail_url'),
'is_filled':
fields.BooleanField(),
'field':
fields.StringField(attr='field', analyzer=leave_default),
'user':
fields.ObjectField(
properties={
'is_active': fields.BooleanField(),
'is_account_disabled': fields.BooleanField(),
'last_activity': fields.DateField(
attr='last_activity.date')
})
})
get_pay_display = fields.StringField(attr='get_pay_display')
get_level_display = fields.StringField(attr='get_level_display')
pay = fields.StringField(attr='pay', analyzer=leave_default)
level = fields.StringField(attr='level', analyzer=leave_default)
class Meta:
model = Job
related_models = [Founder, MyUser]
fields = ['title', 'description']
def get_instances_from_related(self, related_instance):
if isinstance(related_instance, MyUser):
if hasattr(related_instance, 'founder'):
return related_instance.founder.job_set.all()
if isinstance(related_instance, Founder):
return related_instance.job_set.all()
class CampaignDocument(DocType):
manager = fields.TextField(attr='_get_manager_campaign')
campaigns_name = fields.TextField(
attr='_get_campaign_name',
fields={
'raw':
fields.StringField(analyzer='keyword'),
'suggest':
fields.CompletionField(attr='_get_campaign_name',
contexts=[{
"name": "manager",
"type": "category",
"path": "manager"
}])
})
class Meta:
model = Campaign
fields = ['name']