本文整理匯總了Python中pymongo.helpers._fields_list_to_dict方法的典型用法代碼示例。如果您正苦於以下問題:Python helpers._fields_list_to_dict方法的具體用法?Python helpers._fields_list_to_dict怎麽用?Python helpers._fields_list_to_dict使用的例子?那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類pymongo.helpers
的用法示例。
在下文中一共展示了helpers._fields_list_to_dict方法的3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: __find_and_modify
# 需要導入模塊: from pymongo import helpers [as 別名]
# 或者: from pymongo.helpers import _fields_list_to_dict [as 別名]
def __find_and_modify(self, filter: dict, projection: Optional[Union[list, dict]],
sort: Optional[List[tuple]], upsert: Optional[bool] = None,
return_document: bool = ReturnDocument.BEFORE, **kwargs) -> MutableMapping:
"""Internal findAndModify helper."""
common.validate_is_mapping('filter', filter)
if not isinstance(return_document, bool):
raise ValueError('return_document must be ReturnDocument.BEFORE or ReturnDocument.AFTER')
cmd = SON([('findAndModify', self.name),
('query', filter),
('new', return_document)])
collation = validate_collation_or_none(kwargs.pop('collation', None))
cmd.update(kwargs)
if projection is not None:
cmd['fields'] = helpers._fields_list_to_dict(projection, 'projection')
if sort is not None:
cmd['sort'] = helpers._index_document(sort)
if upsert is not None:
common.validate_boolean('upsert', upsert)
cmd['upsert'] = upsert
connection = await self.database.client.get_connection()
if connection.max_wire_version >= 4 and 'writeConcern' not in cmd:
wc_doc = self.write_concern.document
if wc_doc:
cmd['writeConcern'] = wc_doc
out = await connection.command(
self.database.name, cmd, ReadPreference.PRIMARY, self.codec_options,
allowable_errors=[_NO_OBJ_ERROR], collation=collation
)
helpers._check_write_command_response([(0, out)])
return out.get('value')
示例2: __init__
# 需要導入模塊: from pymongo import helpers [as 別名]
# 或者: from pymongo.helpers import _fields_list_to_dict [as 別名]
def __init__(self, collection: 'aiomongo.Collection',
filter: Optional[dict] = None, projection: Optional[Union[dict, list]] = None,
skip: int = 0, limit: int = 0, sort: Optional[List[tuple]] = None,
modifiers: Optional[dict] = None, batch_size: int = 0, no_cursor_timeout: bool = False,
collation: Optional[Union[Collation, dict]]=None) -> None:
spec = filter
if spec is None:
spec = {}
validate_is_mapping('filter', spec)
if not isinstance(skip, int):
raise TypeError('skip must be an instance of int')
if not isinstance(limit, int):
raise TypeError('limit must be an instance of int')
if modifiers is not None:
validate_is_mapping('modifiers', modifiers)
if not isinstance(batch_size, int):
raise TypeError('batch_size must be an integer')
if batch_size < 0:
raise ValueError('batch_size must be >= 0')
if projection is not None:
if not projection:
projection = {'_id': 1}
projection = helpers._fields_list_to_dict(projection, 'projection')
self.__id = None
self.__codec_options = DEFAULT_CODEC_OPTIONS
self.__collation = validate_collation_or_none(collation)
self.__collection = collection
self.__connection = None
self.__data = deque()
self.__explain = False
self.__max_scan = None
self.__spec = spec
self.__projection = projection
self.__skip = skip
self.__limit = limit
self.__batch_size = batch_size
self.__modifiers = modifiers or {}
self.__ordering = sort and helpers._index_document(sort) or None
self.__hint = None
self.__comment = None
self.__max_time_ms = None
self.__max_await_time_ms = None
self.__max = None
self.__min = None
self.__killed = False
self.__codec_options = collection.codec_options
self.__read_preference = collection.read_preference
self.__read_concern = collection.read_concern
self.__retrieved = 0
self.__query_flags = 0
if self.__read_preference != ReadPreference.PRIMARY:
self.__query_flags |= _QUERY_OPTIONS['slave_okay']
if no_cursor_timeout:
self.__query_flags |= _QUERY_OPTIONS['no_timeout']
示例3: group
# 需要導入模塊: from pymongo import helpers [as 別名]
# 或者: from pymongo.helpers import _fields_list_to_dict [as 別名]
def group(self, key: Optional[Union[List[str], str, Code]], condition: dict, initial: int, reduce: str,
finalize: Optional[str] = None, **kwargs) -> List[MutableMapping]:
"""Perform a query similar to an SQL *group by* operation.
Returns an array of grouped items.
The `key` parameter can be:
- ``None`` to use the entire document as a key.
- A :class:`list` of keys (each a :class:`str`) to group by.
- A :class:`str`, or :class:`~bson.code.Code` instance containing a JavaScript
function to be applied to each document, returning the key
to group by.
The :meth:`group` method obeys the :attr:`read_preference` of this
:class:`Collection`.
:Parameters:
- `key`: fields to group by (see above description)
- `condition`: specification of rows to be
considered (as a :meth:`find` query specification)
- `initial`: initial value of the aggregation counter object
- `reduce`: aggregation function as a JavaScript string
- `finalize`: function to be called on each object in output list.
- `**kwargs` (optional): additional arguments to the group command
may be passed as keyword arguments to this helper method
"""
group = {}
if isinstance(key, str):
group['$keyf'] = Code(key)
elif key is not None:
group = {'key': helpers._fields_list_to_dict(key, 'key')}
group['ns'] = self.name
group['$reduce'] = Code(reduce)
group['cond'] = condition
group['initial'] = initial
if finalize is not None:
group['finalize'] = Code(finalize)
cmd = SON([('group', group)])
collation = validate_collation_or_none(kwargs.pop('collation', None))
cmd.update(kwargs)
connection = await self.database.client.get_connection()
return (await connection.command(
self.database.name, cmd, self.read_preference, self.codec_options, collation=collation
))['retval']