本文整理汇总了Python中arches.app.search.search_engine_factory.SearchEngineFactory.create_mapping方法的典型用法代码示例。如果您正苦于以下问题：Python SearchEngineFactory.create_mapping方法的具体用法？Python SearchEngineFactory.create_mapping怎么用？Python SearchEngineFactory.create_mapping使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类arches.app.search.search_engine_factory.SearchEngineFactory的用法示例。
在下文中一共展示了SearchEngineFactory.create_mapping方法的7个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: prepare_search_index
# 需要导入模块: from arches.app.search.search_engine_factory import SearchEngineFactory [as 别名]
# 或者: from arches.app.search.search_engine_factory.SearchEngineFactory import create_mapping [as 别名]
def prepare_search_index(self, resource_type_id, create=False):
"""
Creates the settings and mappings in Elasticsearch to support resource search
"""
index_settings = super(Resource, self).prepare_search_index(resource_type_id, create=False)
index_settings['mappings'][resource_type_id]['properties']['date_groups'] = {
'properties' : {
'conceptid': {'type' : 'string', 'index' : 'not_analyzed'}
}
}
#index_settings['mappings'][resource_type_id]['properties']['measurement_groups'] = {
# 'properties' : {
# 'conceptid': {'type' : 'string', 'index' : 'not_analyzed'}
# }
#}
if create:
se = SearchEngineFactory().create()
try:
se.create_index(index='entity', body=index_settings)
except:
index_settings = index_settings['mappings']
se.create_mapping(index='entity', doc_type=resource_type_id, body=index_settings)示例2: index
# 需要导入模块: from arches.app.search.search_engine_factory import SearchEngineFactory [as 别名]
# 或者: from arches.app.search.search_engine_factory.SearchEngineFactory import create_mapping [as 别名]
def index(self, scheme=None):
if self.category == 'label':
se = SearchEngineFactory().create()
data = JSONSerializer().serializeToPython(self)
if scheme == None:
scheme = self.get_scheme_id()
if scheme == None:
raise Exception('Index of label failed. Index type (scheme id) could not be derived from the label.')
se.create_mapping('concept_labels', scheme.id, fieldname='conceptid', fieldtype='string', fieldindex='not_analyzed')
se.index_data('concept_labels', scheme.id, data, 'id')
# don't create terms for entity type concepts
if not(scheme.id == '00000000-0000-0000-0000-000000000003' or scheme.id == '00000000-0000-0000-0000-000000000004'):
se.index_term(self.value, self.id, scheme.id, {'conceptid': self.conceptid})示例3: index_concepts_for_search
# 需要导入模块: from arches.app.search.search_engine_factory import SearchEngineFactory [as 别名]
# 或者: from arches.app.search.search_engine_factory.SearchEngineFactory import create_mapping [as 别名]
def index_concepts_for_search(self):
# see http://sqlblog.com/blogs/adam_machanic/archive/2006/07/12/swinging-from-tree-to-tree-using-ctes-part-1-adjacency-to-nested-sets.aspx
# Value of Lft for the root node is 1
# Value of Rgt for the root node is 2 * (Number of nodes)
# Value of Lft for any node is ((Number of nodes visited) * 2) - (Level of current node)
# Value of Rgt for any node is (Lft value) + ((Number of subnodes) * 2) + 1
sys.setrecursionlimit(3000)
se = SearchEngineFactory().create()
se.create_mapping('concept', 'all', 'conceptid', 'string', 'not_analyzed')
se.create_mapping('concept', 'all', 'labelid', 'string', 'not_analyzed')
def _findNarrowerConcept(conceptid, ret=None, limit=200000, level=1):
returnobj = {'subnodes': 0}
if ret == None: # the root node
labels = archesmodels.Values.objects.filter(conceptid = conceptid)
ret = {}
nodesvisited = len(ret) + 1
ret[conceptid] = {'labels': [], 'left': (nodesvisited*2)-level, 'right': 0}
for label in labels:
ret[conceptid]['labels'].append({'labelid': label.pk, 'label': label.value})
level = level + 1
conceptrealations = archesmodels.ConceptRelations.objects.filter(conceptidfrom = conceptid)
for relation in conceptrealations:
nodesvisited = len(ret) + 1
labels = archesmodels.Values.objects.filter(conceptid = relation.conceptidto)
ret[relation.conceptidto_id] = {'labels': [], 'left': (nodesvisited*2)-level, 'right': 0}
for label in labels:
ret[relation.conceptidto_id]['labels'].append({'labelid': label.pk, 'label': label.value})
returnobj = _findNarrowerConcept(relation.conceptidto_id, ret=ret, level=level+1)
subnodes = returnobj['subnodes']
if subnodes == 0: # meaning we're at a leaf node
ret[conceptid]['right'] = ret[conceptid]['left'] + 1
else:
ret[conceptid]['right'] = subnodes + 1
return {'all_concepts': ret, 'subnodes': ret[conceptid]['right']}
concepts = _findNarrowerConcept('00000000-0000-0000-0000-000000000003')
all_concepts = []
for key, concept in concepts['all_concepts'].iteritems():
all_concepts.append({'conceptid': key, 'labels': concept['labels'], 'left': concept['left'], 'right': concept['right']})
self.index(all_concepts, 'concept', 'all', 'conceptid')示例4: index
# 需要导入模块: from arches.app.search.search_engine_factory import SearchEngineFactory [as 别名]
# 或者: from arches.app.search.search_engine_factory.SearchEngineFactory import create_mapping [as 别名]
def index(self, scheme=None):
if self.category == 'label':
se = SearchEngineFactory().create()
data = JSONSerializer().serializeToPython(self)
if scheme == None:
scheme = self.get_scheme_id()
if scheme == None:
raise Exception('Index of label failed. Index type (scheme id) could not be derived from the label.')
se.create_mapping('concept_labels', scheme.id, fieldname='conceptid', fieldtype='string', fieldindex='not_analyzed')
se.index_data('concept_labels', scheme.id, data, 'id')
#Looks up whether the label is actually a dropdown label or an entity label and, if so, excludes them from the term search index.
entity_or_dropdown= archesmodels.ConceptRelations.objects.filter(Q(relationtype ='hasCollection') | Q(relationtype ='hasEntity'),conceptidto = scheme.id)
is_entity_or_dropdown = False if entity_or_dropdown.count() == 0 else True
# don't create terms for entity type concepts
if not(scheme.id == '00000000-0000-0000-0000-000000000003' or scheme.id == '00000000-0000-0000-0000-000000000004') and is_entity_or_dropdown ==False:
se.index_term(self.value, self.id, scheme.id, {'conceptid': self.conceptid})示例5: prepare_search_index
# 需要导入模块: from arches.app.search.search_engine_factory import SearchEngineFactory [as 别名]
# 或者: from arches.app.search.search_engine_factory.SearchEngineFactory import create_mapping [as 别名]
#.........这里部分代码省略.........
'filter': [ 'lowercase', 'asciifolding' ]
}
}
}
},
'mappings': {
resource_type_id : {
'properties' : {
'entityid' : {'type' : 'string', 'index' : 'not_analyzed'},
'parentid' : {'type' : 'string', 'index' : 'not_analyzed'},
'property' : {'type' : 'string', 'index' : 'not_analyzed'},
'entitytypeid' : {'type' : 'string', 'index' : 'not_analyzed'},
'businesstablename' : {'type' : 'string', 'index' : 'not_analyzed'},
'value' : {'type' : 'string', 'index' : 'not_analyzed'},
'label' : {'type' : 'string', 'index' : 'not_analyzed'},
'primaryname': {'type' : 'string', 'index' : 'not_analyzed'},
'child_entities' : {
'type' : 'nested',
'index' : 'analyzed',
'properties' : {
'entityid' : {'type' : 'string', 'index' : 'not_analyzed'},
'parentid' : {'type' : 'string', 'index' : 'not_analyzed'},
'property' : {'type' : 'string', 'index' : 'not_analyzed'},
'entitytypeid' : {'type' : 'string', 'index' : 'not_analyzed'},
'businesstablename' : {'type' : 'string', 'index' : 'not_analyzed'},
'label' : {'type' : 'string', 'index' : 'not_analyzed'},
'value' : {
'type' : 'string',
'index' : 'analyzed',
'fields' : {
'raw' : { 'type' : 'string', 'index' : 'not_analyzed'},
'folded': { 'type': 'string', 'analyzer': 'folding'}
}
}
}
},
'domains' : {
'type' : 'nested',
'index' : 'analyzed',
'properties' : {
'entityid' : {'type' : 'string', 'index' : 'not_analyzed'},
'parentid' : {'type' : 'string', 'index' : 'not_analyzed'},
'property' : {'type' : 'string', 'index' : 'not_analyzed'},
'entitytypeid' : {'type' : 'string', 'index' : 'not_analyzed'},
'businesstablename' : {'type' : 'string', 'index' : 'not_analyzed'},
'label' : {'type' : 'string', 'index' : 'not_analyzed'},
'value' : {
'type' : 'string',
'index' : 'analyzed',
'fields' : {
'raw' : { 'type' : 'string', 'index' : 'not_analyzed'}
}
},
'conceptid' : {'type' : 'string', 'index' : 'not_analyzed'},
}
},
'geometries' : {
'type' : 'nested',
'index' : 'analyzed',
'properties' : {
'entityid' : {'type' : 'string', 'index' : 'not_analyzed'},
'parentid' : {'type' : 'string', 'index' : 'not_analyzed'},
'property' : {'type' : 'string', 'index' : 'not_analyzed'},
'entitytypeid' : {'type' : 'string', 'index' : 'not_analyzed'},
'businesstablename' : {'type' : 'string', 'index' : 'not_analyzed'},
'label' : {'type' : 'string', 'index' : 'not_analyzed'},
'value' : {
"type": "geo_shape"
}
}
},
'dates' : {
'type' : 'nested',
'index' : 'analyzed',
'properties' : {
'entityid' : {'type' : 'string', 'index' : 'not_analyzed'},
'parentid' : {'type' : 'string', 'index' : 'not_analyzed'},
'property' : {'type' : 'string', 'index' : 'not_analyzed'},
'entitytypeid' : {'type' : 'string', 'index' : 'not_analyzed'},
'businesstablename' : {'type' : 'string', 'index' : 'not_analyzed'},
'label' : {'type' : 'string', 'index' : 'not_analyzed'},
'value' : {
"type" : "date"
}
}
}
}
}
}
}
if create:
se = SearchEngineFactory().create()
try:
se.create_index(index='entity', body=index_settings)
except:
index_settings = index_settings['mappings']
se.create_mapping(index='entity', doc_type=resource_type_id, body=index_settings)
return index_settings示例6: prepare_search_index
# 需要导入模块: from arches.app.search.search_engine_factory import SearchEngineFactory [as 别名]
# 或者: from arches.app.search.search_engine_factory.SearchEngineFactory import create_mapping [as 别名]
#.........这里部分代码省略.........
'strings' : {
'type' : 'nested',
'properties': {
'string': {
'type' : 'text',
'index' : 'analyzed',
'fields' : {
'raw' : {'type': 'keyword'},
'folded': { 'type': 'text', 'analyzer': 'folding'}
}
},
'nodegroup_id' : {'type': 'keyword'},
'provisional': {'type': 'keyword'}
}
},
'domains' : {
'type' : 'nested',
'properties' : {
'value' : {
'type' : 'text',
'index' : 'analyzed',
'fields' : {
'raw' : {'type': 'keyword'}
}
},
'conceptid' : {'type': 'keyword'},
'valueid' : {'type': 'keyword'},
'nodegroup_id' : {'type': 'keyword'},
'provisional': {'type': 'keyword'}
}
},
'geometries' : {
'type' : 'nested',
'properties': {
'geom': {
'properties': {
'features': {
'properties': {
'geometry': {'type': 'geo_shape'},
'id': {'type': 'keyword'},
'type': {'type': 'keyword'},
'properties': {
'enabled': False
}
}
},
'type': {'type': 'keyword'}
}
},
'nodegroup_id' : {'type': 'keyword'},
'provisional': {'type': 'keyword'}
}
},
'points': {
'type' : 'nested',
'properties' : {
'point' : {'type': 'geo_point'},
'nodegroup_id' : {'type': 'keyword'},
'provisional': {'type': 'keyword'}
}
},
'dates' : {
'type' : 'nested',
'properties' : {
'date' : {'type': 'float'},
'nodegroup_id' : {'type': 'keyword'},
'nodeid' : {'type': 'keyword'},
'provisional': {'type': 'keyword'}
}
},
'numbers' : {
'type' : 'nested',
'properties' : {
'number' : {'type': 'double'},
'nodegroup_id' : {'type': 'keyword'},
'provisional': {'type': 'keyword'}
}
},
'date_ranges': {
'type' : 'nested',
'properties' : {
'date_range' : {'type': 'float_range'},
'nodegroup_id' : {'type': 'keyword'},
'provisional': {'type': 'keyword'}
}
}
}
}
}
}
if create:
se = SearchEngineFactory().create()
try:
se.create_index(index='resource', body=index_settings)
except:
index_settings = index_settings['mappings']
se.create_mapping(index='resource', doc_type=resource_model_id, body=index_settings)
return index_settings示例7: base_prepare_search_index
# 需要导入模块: from arches.app.search.search_engine_factory import SearchEngineFactory [as 别名]
# 或者: from arches.app.search.search_engine_factory.SearchEngineFactory import create_mapping [as 别名]
#.........这里部分代码省略.........
}
}
}
},
'mappings': {
resource_type_id : {
'properties' : {
'entityid' : {'type' : 'string', 'index' : 'not_analyzed'},
'parentid' : {'type' : 'string', 'index' : 'not_analyzed'},
'property' : {'type' : 'string', 'index' : 'not_analyzed'},
'entitytypeid' : {'type' : 'string', 'index' : 'not_analyzed'},
'businesstablename' : {'type' : 'string', 'index' : 'not_analyzed'},
'value' : {'type' : 'string', 'index' : 'not_analyzed'},
'label' : {'type' : 'string', 'index' : 'not_analyzed'},
'primaryname': {'type' : 'string', 'index' : 'not_analyzed'},
'child_entities' : {
'type' : 'nested',
'index' : 'analyzed',
'properties' : {
'entityid' : {'type' : 'string', 'index' : 'not_analyzed'},
'parentid' : {'type' : 'string', 'index' : 'not_analyzed'},
'property' : {'type' : 'string', 'index' : 'not_analyzed'},
'entitytypeid' : {'type' : 'string', 'index' : 'not_analyzed'},
'businesstablename' : {'type' : 'string', 'index' : 'not_analyzed'},
'label' : {'type' : 'string', 'analyzer': 'ducet_sort'},
'value' : {
'type' : 'string',
"index_analyzer": "index_ngram",
"search_analyzer": "search_ngram",
'fields' : {
'raw' : { 'type' : 'string', 'index' : 'not_analyzed'},
'folded': { 'type': 'string', 'analyzer': 'folding'}
}
}
}
},
'domains' : {
'type' : 'nested',
'index' : 'analyzed',
'properties' : {
'entityid' : {'type' : 'string', 'index' : 'not_analyzed'},
'parentid' : {'type' : 'string', 'index' : 'not_analyzed'},
'property' : {'type' : 'string', 'index' : 'not_analyzed'},
'entitytypeid' : {'type' : 'string', 'index' : 'not_analyzed'},
'businesstablename' : {'type' : 'string', 'index' : 'not_analyzed'},
'label' : {'type' : 'string', 'analyzer': 'ducet_sort'},
'value' : {
'type' : 'string',
'index' : 'analyzed',
'fields' : {
'raw' : { 'type' : 'string', 'index' : 'not_analyzed'}
}
},
'conceptid' : {'type' : 'string', 'index' : 'not_analyzed'},
}
},
'geometries' : {
'type' : 'nested',
'index' : 'analyzed',
'properties' : {
'entityid' : {'type' : 'string', 'index' : 'not_analyzed'},
'parentid' : {'type' : 'string', 'index' : 'not_analyzed'},
'property' : {'type' : 'string', 'index' : 'not_analyzed'},
'entitytypeid' : {'type' : 'string', 'index' : 'not_analyzed'},
'businesstablename' : {'type' : 'string', 'index' : 'not_analyzed'},
'label' : {'type' : 'string', 'index' : 'not_analyzed'},
'value' : {
"type": "geo_shape"
}
}
},
'dates' : {
'type' : 'nested',
'index' : 'analyzed',
'properties' : {
'entityid' : {'type' : 'string', 'index' : 'not_analyzed'},
'parentid' : {'type' : 'string', 'index' : 'not_analyzed'},
'property' : {'type' : 'string', 'index' : 'not_analyzed'},
'entitytypeid' : {'type' : 'string', 'index' : 'not_analyzed'},
'businesstablename' : {'type' : 'string', 'index' : 'not_analyzed'},
'label' : {'type' : 'string', 'index' : 'not_analyzed'},
'value' : {
"type" : "date"
}
}
}
}
}
}
}
if create:
se = SearchEngineFactory().create()
try:
se.create_index(index='entity', body=index_settings)
except:
index_settings = index_settings['mappings']
se.create_mapping(index='entity', doc_type=resource_type_id, body=index_settings)
return index_settings