本文整理匯總了Python中queryset.QuerySet類的典型用法代碼示例。如果您正苦於以下問題：Python QuerySet類的具體用法？Python QuerySet怎麽用？Python QuerySet使用的例子？那麽, 這裏精選的類代碼示例或許可以為您提供幫助。
在下文中一共展示了QuerySet類的7個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: one
def one(self, **kwargs):
doc_cursor = QuerySet(cursor=None, cls=self.model, spec=self._to_mongo(kwargs))
count = doc_cursor.count()
if count > 1:
raise MultipleResultsFound("%s results found" % count)
elif count == 1:
return doc_cursor.next()
return {}示例2: _unique_with_indexes
def _unique_with_indexes(cls, new_class, namespace=""):
unique_indexes = []
for field_name, field in new_class._fields.items():
# Generate a list of indexes needed by uniqueness constraints
if field.unique:
field.required = True
unique_fields = [field.db_field]
# Add any unique_with fields to the back of the index spec
if field.unique_with:
if isinstance(field.unique_with, basestring):
field.unique_with = [field.unique_with]
# Convert unique_with field names to real field names
unique_with = []
for other_name in field.unique_with:
parts = other_name.split(".")
# Lookup real name
parts = QuerySet._lookup_field(new_class, parts)
name_parts = [part.db_field for part in parts]
unique_with.append(".".join(name_parts))
# Unique field should be required
parts[-1].required = True
unique_fields += unique_with
# Add the new index to the list
index = [("%s%s" % (namespace, f), pymongo.ASCENDING) for f in unique_fields]
unique_indexes.append(index)
# Grab any embedded document field unique indexes
if field.__class__.__name__ == "EmbeddedDocumentField" and field.document_type != new_class:
field_namespace = "%s." % field_name
unique_indexes += cls._unique_with_indexes(field.document_type, field_namespace)
return unique_indexes示例3: __new__
def __new__(cls, name, bases, attrs):
super_new = super(TopLevelDocumentMetaclass, cls).__new__
# Classes defined in this package are abstract and should not have
# their own metadata with DB collection, etc.
# __metaclass__ is only set on the class with the __metaclass__
# attribute (i.e. it is not set on subclasses). This differentiates
# 'real' documents from the 'Document' class
if attrs.get("__metaclass__") == TopLevelDocumentMetaclass:
return super_new(cls, name, bases, attrs)
collection = name.lower()
id_field = None
base_indexes = []
base_meta = {}
# Subclassed documents inherit collection from superclass
for base in bases:
if hasattr(base, "_meta") and "collection" in base._meta:
collection = base._meta["collection"]
# Propagate index options.
for key in ("index_background", "index_drop_dups", "index_opts"):
if key in base._meta:
base_meta[key] = base._meta[key]
id_field = id_field or base._meta.get("id_field")
base_indexes += base._meta.get("indexes", [])
meta = {
"collection": collection,
"max_documents": None,
"max_size": None,
"ordering": [], # default ordering applied at runtime
"indexes": [], # indexes to be ensured at runtime
"id_field": id_field,
"index_background": True,
"index_drop_dups": False,
"index_opts": {},
"queryset_class": QuerySet,
"db_name": None,
"force_insert": False,
"hash_field": None,
"hash_db_field": "_h",
"sharded": True,
"write_concern": 1,
}
meta.update(base_meta)
# Apply document-defined meta options
meta.update(attrs.get("meta", {}))
attrs["_meta"] = meta
# Set up collection manager, needs the class to have fields so use
# DocumentMetaclass before instantiating CollectionManager object
new_class = super_new(cls, name, bases, attrs)
# Provide a default queryset unless one has been manually provided
if not hasattr(new_class, "objects"):
new_class.objects = QuerySetManager()
user_indexes = [QuerySet._build_index_spec(new_class, spec) for spec in meta["indexes"]] + base_indexes
new_class._meta["indexes"] = user_indexes
unique_indexes = []
for field_name, field in new_class._fields.items():
# Generate a list of indexes needed by uniqueness constraints
if field.unique:
field.required = True
unique_fields = [field.db_field]
# Add any unique_with fields to the back of the index spec
if field.unique_with:
if isinstance(field.unique_with, basestring):
field.unique_with = [field.unique_with]
# Convert unique_with field names to real field names
unique_with = []
for other_name in field.unique_with:
parts = other_name.split(".")
# Lookup real name
parts = QuerySet._lookup_field(new_class, parts)
name_parts = [part.db_field for part in parts]
unique_with.append(".".join(name_parts))
# Unique field should be required
parts[-1].required = True
unique_fields += unique_with
# Add the new index to the list
index = [(f, pymongo.ASCENDING) for f in unique_fields]
unique_indexes.append(index)
# Check for custom primary key
if field.primary_key:
current_pk = new_class._meta["id_field"]
if current_pk and current_pk != field_name:
raise ValueError("Cannot override primary key field")
if not current_pk:
new_class._meta["id_field"] = field_name
#.........這裏部分代碼省略.........
示例4: __new__
def __new__(cls, name, bases, attrs):
super_new = super(TopLevelDocumentMetaclass, cls).__new__
# Classes defined in this package are abstract and should not have
# their own metadata with DB collection, etc.
# __metaclass__ is only set on the class with the __metaclass__
# attribute (i.e. it is not set on subclasses). This differentiates
# 'real' documents from the 'Document' class
#
# Also assume a class is abstract if it has abstract set to True in
# its meta dictionary. This allows custom Document superclasses.
if (attrs.get('__metaclass__') == TopLevelDocumentMetaclass or
('meta' in attrs and attrs['meta'].get('abstract', False))):
# Make sure no base class was non-abstract
non_abstract_bases = [b for b in bases
if hasattr(b, '_meta') and not b._meta.get('abstract', False)]
if non_abstract_bases:
raise ValueError("Abstract document cannot have non-abstract base")
return super_new(cls, name, bases, attrs)
collection = ''.join('_%s' % c if c.isupper() else c for c in name).strip('_').lower()
id_field = None
abstract_base_indexes = []
base_indexes = []
base_meta = {}
# Subclassed documents inherit collection from superclass
for base in bases:
if hasattr(base, '_meta'):
if 'collection' in attrs.get('meta', {}) and not base._meta.get('abstract', False):
import warnings
msg = "Trying to set a collection on a subclass (%s)" % name
warnings.warn(msg, SyntaxWarning)
del(attrs['meta']['collection'])
if base._get_collection_name():
collection = base._get_collection_name()
# Propagate inherited values
keys_to_propogate = (
'index_background', 'index_drop_dups', 'index_opts',
'allow_inheritance', 'queryset_class', 'db_alias',
'shard_key'
)
for key in keys_to_propogate:
if key in base._meta:
base_meta[key] = base._meta[key]
id_field = id_field or base._meta.get('id_field')
if base._meta.get('abstract', False):
abstract_base_indexes += base._meta.get('indexes', [])
else:
base_indexes += base._meta.get('indexes', [])
try:
base_meta['objects'] = base.__getattribute__(base, 'objects')
except TypeError:
pass
except AttributeError:
pass
# defaults
meta = {
'abstract': False,
'collection': collection,
'max_documents': None,
'max_size': None,
'ordering': [], # default ordering applied at runtime
'indexes': [], # indexes to be ensured at runtime
'id_field': id_field,
'index_background': False,
'index_drop_dups': False,
'index_opts': {},
'queryset_class': QuerySet,
'delete_rules': {},
'allow_inheritance': True
}
allow_inheritance_defined = ('allow_inheritance' in base_meta or
'allow_inheritance'in attrs.get('meta', {}))
meta['allow_inheritance_defined'] = allow_inheritance_defined
meta.update(base_meta)
# Apply document-defined meta options
meta.update(attrs.get('meta', {}))
attrs['_meta'] = meta
# Set up collection manager, needs the class to have fields so use
# DocumentMetaclass before instantiating CollectionManager object
new_class = super_new(cls, name, bases, attrs)
collection = attrs['_meta'].get('collection', None)
if callable(collection):
new_class._meta['collection'] = collection(new_class)
# Provide a default queryset unless one has been manually provided
manager = attrs.get('objects', meta.get('objects', QuerySetManager()))
if hasattr(manager, 'queryset_class'):
meta['queryset_class'] = manager.queryset_class
new_class.objects = manager
indicies = list(meta['indexes']) + abstract_base_indexes
#.........這裏部分代碼省略.........
示例5: __new__
def __new__(cls, name, bases, attrs):
global _document_registry
super_new = super(TopLevelDocumentMetaclass, cls).__new__
# Classes defined in this package are abstract and should not have
# their own metadata with DB collection, etc.
# __metaclass__ is only set on the class with the __metaclass__
# attribute (i.e. it is not set on subclasses). This differentiates
# 'real' documents from the 'Document' class
if attrs.get('__metaclass__') == TopLevelDocumentMetaclass:
return super_new(cls, name, bases, attrs)
collection = name.lower()
id_field = None
base_indexes = []
# Subclassed documents inherit collection from superclass
for base in bases:
if hasattr(base, '_meta') and 'collection' in base._meta:
collection = base._meta['collection']
id_field = id_field or base._meta.get('id_field')
base_indexes += base._meta.get('indexes', [])
meta = {
'collection': collection,
'max_documents': None,
'max_size': None,
'ordering': [], # default ordering applied at runtime
'indexes': [], # indexes to be ensured at runtime
'id_field': id_field,
}
# Apply document-defined meta options
meta.update(attrs.get('meta', {}))
attrs['_meta'] = meta
# Set up collection manager, needs the class to have fields so use
# DocumentMetaclass before instantiating CollectionManager object
new_class = super_new(cls, name, bases, attrs)
new_class.objects = QuerySetManager()
user_indexes = [QuerySet._build_index_spec(new_class, spec)
for spec in meta['indexes']] + base_indexes
new_class._meta['indexes'] = user_indexes
unique_indexes = []
for field_name, field in new_class._fields.items():
# Generate a list of indexes needed by uniqueness constraints
if field.unique:
field.required = True
unique_fields = [field_name]
# Add any unique_with fields to the back of the index spec
if field.unique_with:
if isinstance(field.unique_with, basestring):
field.unique_with = [field.unique_with]
# Convert unique_with field names to real field names
unique_with = []
for other_name in field.unique_with:
parts = other_name.split('.')
# Lookup real name
parts = QuerySet._lookup_field(new_class, parts)
name_parts = [part.db_field for part in parts]
unique_with.append('.'.join(name_parts))
# Unique field should be required
parts[-1].required = True
unique_fields += unique_with
# Add the new index to the list
index = [(f, pymongo.ASCENDING) for f in unique_fields]
unique_indexes.append(index)
# Check for custom primary key
if field.primary_key:
if not new_class._meta['id_field']:
new_class._meta['id_field'] = field_name
# Make 'Document.id' an alias to the real primary key field
new_class.id = field
#new_class._fields['id'] = field
else:
raise ValueError('Cannot override primary key field')
new_class._meta['unique_indexes'] = unique_indexes
if not new_class._meta['id_field']:
new_class._meta['id_field'] = 'id'
new_class._fields['id'] = ObjectIdField(db_field='_id')
new_class.id = new_class._fields['id']
_document_registry[name] = new_class
return new_class示例6: __new__
def __new__(cls, name, bases, attrs):
super_new = super(TopLevelDocumentMetaclass, cls).__new__
# Classes defined in this package are abstract and should not have
# their own metadata with DB collection, etc.
# __metaclass__ is only set on the class with the __metaclass__
# attribute (i.e. it is not set on subclasses). This differentiates
# 'real' documents from the 'Document' class
#
# Also assume a class is abstract if it has abstract set to True in
# its meta dictionary. This allows custom Document superclasses.
if attrs.get("__metaclass__") == TopLevelDocumentMetaclass or (
"meta" in attrs and attrs["meta"].get("abstract", False)
):
# Make sure no base class was non-abstract
non_abstract_bases = [b for b in bases if hasattr(b, "_meta") and not b._meta.get("abstract", False)]
if non_abstract_bases:
raise ValueError("Abstract document cannot have non-abstract base")
return super_new(cls, name, bases, attrs)
collection = "".join("_%s" % c if c.isupper() else c for c in name).strip("_").lower()
id_field = None
abstract_base_indexes = []
base_indexes = []
base_meta = {}
# Subclassed documents inherit collection from superclass
for base in bases:
if hasattr(base, "_meta"):
if "collection" in attrs.get("meta", {}) and not base._meta.get("abstract", False):
import warnings
msg = "Trying to set a collection on a subclass (%s)" % name
warnings.warn(msg, SyntaxWarning)
del (attrs["meta"]["collection"])
if base._get_collection_name():
collection = base._get_collection_name()
# Propagate inherited values
keys_to_propogate = (
"index_background",
"index_drop_dups",
"index_opts",
"allow_inheritance",
"queryset_class",
"db_alias",
)
for key in keys_to_propogate:
if key in base._meta:
base_meta[key] = base._meta[key]
id_field = id_field or base._meta.get("id_field")
if base._meta.get("abstract", False):
abstract_base_indexes += base._meta.get("indexes", [])
else:
base_indexes += base._meta.get("indexes", [])
try:
base_meta["objects"] = base.__getattribute__(base, "objects")
except TypeError:
pass
except AttributeError:
pass
# defaults
meta = {
"abstract": False,
"collection": collection,
"max_documents": None,
"max_size": None,
"ordering": [], # default ordering applied at runtime
"indexes": [], # indexes to be ensured at runtime
"id_field": id_field,
"index_background": False,
"index_drop_dups": False,
"index_opts": {},
"queryset_class": QuerySet,
"delete_rules": {},
"allow_inheritance": True,
}
allow_inheritance_defined = "allow_inheritance" in base_meta or "allow_inheritance" in attrs.get("meta", {})
meta["allow_inheritance_defined"] = allow_inheritance_defined
meta.update(base_meta)
# Apply document-defined meta options
meta.update(attrs.get("meta", {}))
attrs["_meta"] = meta
# Set up collection manager, needs the class to have fields so use
# DocumentMetaclass before instantiating CollectionManager object
new_class = super_new(cls, name, bases, attrs)
collection = attrs["_meta"].get("collection", None)
if callable(collection):
new_class._meta["collection"] = collection(new_class)
# Provide a default queryset unless one has been manually provided
manager = attrs.get("objects", meta.get("objects", QuerySetManager()))
if hasattr(manager, "queryset_class"):
meta["queryset_class"] = manager.queryset_class
#.........這裏部分代碼省略.........
示例7: __new__
def __new__(cls, name, bases, attrs):
super_new = super(TopLevelDocumentMetaclass, cls).__new__
# Classes defined in this package are abstract and should not have
# their own metadata with DB collection, etc.
# __metaclass__ is only set on the class with the __metaclass__
# attribute (i.e. it is not set on subclasses). This differentiates
# 'real' documents from the 'Document' class
#
# Also assume a class is abstract if it has abstract set to True in
# its meta dictionary. This allows custom Document superclasses.
if attrs.get('__metaclass__') == TopLevelDocumentMetaclass or \
('meta' in attrs and attrs['meta'].get('abstract', False)):
# check to make sure no base class was non-abstract
for base in bases:
if hasattr(base,'_meta') and 'abstract' in base._meta \
and not base._meta['abstract']:
raise ValueError( \
'Abstract document cannot have non-abstract base')
return super_new(cls, name, bases, attrs)
collection = name.lower()
id_field = None
base_indexes = []
base_meta = {}
# Subclassed documents inherit collection from superclass
for base in bases:
if hasattr(base, '_meta') and 'collection' in base._meta:
collection = base._meta['collection']
# Propagate index options.
for key in ('index_background', 'index_drop_dups', 'index_opts'):
if key in base._meta:
base_meta[key] = base._meta[key]
id_field = id_field or base._meta.get('id_field')
base_indexes += base._meta.get('indexes', [])
meta = {
'abstract': False,
'collection': collection,
'max_documents': None,
'max_size': None,
'ordering': [], # default ordering applied at runtime
'indexes': [], # indexes to be ensured at runtime
'id_field': id_field,
'index_background': False,
'index_drop_dups': False,
'index_opts': {},
'queryset_class': QuerySet,
}
meta.update(base_meta)
# Apply document-defined meta options
meta.update(attrs.get('meta', {}))
attrs['_meta'] = meta
# Set up collection manager, needs the class to have fields so use
# DocumentMetaclass before instantiating CollectionManager object
new_class = super_new(cls, name, bases, attrs)
# Allow dynamically-generated collection names. Pass the newly
# created class so the callee has access to __module__, etc.
collection = new_class._meta['collection']
if callable(collection):
new_class._meta['collection'] = collection(new_class)
# Provide a default queryset unless one has been manually provided
# Note: Check for existance in attrs because hasattr assumes it
# doesn't exist if any exception is raised, eg when not connected.
if 'objects' not in attrs:
new_class.objects = QuerySetManager()
user_indexes = [QuerySet._build_index_spec(new_class, spec)
for spec in meta['indexes']] + base_indexes
new_class._meta['indexes'] = user_indexes
unique_indexes = []
for field_name, field in new_class._fields.items():
# Generate a list of indexes needed by uniqueness constraints
if field.unique:
field.required = True
unique_fields = [field.db_field]
# Add any unique_with fields to the back of the index spec
if field.unique_with:
if isinstance(field.unique_with, basestring):
field.unique_with = [field.unique_with]
# Convert unique_with field names to real field names
unique_with = []
for other_name in field.unique_with:
parts = other_name.split('.')
# Lookup real name
parts = QuerySet._lookup_field(new_class, parts)
name_parts = [part.db_field for part in parts]
unique_with.append('.'.join(name_parts))
# Unique field should be required
parts[-1].required = True
#.........這裏部分代碼省略.........