def __init__(self, target, pipeline, full_document, resume_after,
max_await_time_ms, batch_size, collation,
start_at_operation_time, session):
if pipeline is None:
pipeline = []
elif not isinstance(pipeline, list):
raise TypeError("pipeline must be a list")
common.validate_string_or_none('full_document', full_document)
validate_collation_or_none(collation)
common.validate_non_negative_integer_or_none("batchSize", batch_size)
self._decode_custom = False
self._orig_codec_options = target.codec_options
if target.codec_options.type_registry._decoder_map:
self._decode_custom = True
# Keep the type registry so that we support encoding custom types
# in the pipeline.
self._target = target.with_options(
codec_options=target.codec_options.with_options(
document_class=RawBSONDocument))
else:
self._target = target
self._pipeline = copy.deepcopy(pipeline)
self._full_document = full_document
self._resume_token = copy.deepcopy(resume_after)
self._max_await_time_ms = max_await_time_ms
self._batch_size = batch_size
self._collation = collation
self._start_at_operation_time = start_at_operation_time
self._session = session
self._cursor = self._create_cursor()
def __init__(self, target, pipeline, full_document, resume_after,
max_await_time_ms, batch_size, collation,
start_at_operation_time, session):
if pipeline is None:
pipeline = []
elif not isinstance(pipeline, list):
raise TypeError("pipeline must be a list")
common.validate_string_or_none('full_document', full_document)
validate_collation_or_none(collation)
common.validate_non_negative_integer_or_none("batchSize", batch_size)
self._decode_custom = False
self._orig_codec_options = target.codec_options
if target.codec_options.type_registry._decoder_map:
self._decode_custom = True
# Keep the type registry so that we support encoding custom types
# in the pipeline.
self._target = target.with_options(
codec_options=target.codec_options.with_options(
document_class=RawBSONDocument))
else:
self._target = target
self._pipeline = copy.deepcopy(pipeline)
self._full_document = full_document
self._resume_token = copy.deepcopy(resume_after)
self._max_await_time_ms = max_await_time_ms
self._batch_size = batch_size
self._collation = collation
self._start_at_operation_time = start_at_operation_time
self._session = session
self._cursor = self._create_cursor()
def __init__(
self,
target: Union["MongoClient[_DocumentType]", "Database[_DocumentType]",
"Collection[_DocumentType]"],
pipeline: Optional[_Pipeline],
full_document: Optional[str],
resume_after: Optional[Mapping[str, Any]],
max_await_time_ms: Optional[int],
batch_size: Optional[int],
collation: Optional[_CollationIn],
start_at_operation_time: Optional[Timestamp],
session: Optional["ClientSession"],
start_after: Optional[Mapping[str, Any]],
comment: Optional[Any] = None,
) -> None:
if pipeline is None:
pipeline = []
pipeline = common.validate_list("pipeline", pipeline)
common.validate_string_or_none("full_document", full_document)
validate_collation_or_none(collation)
common.validate_non_negative_integer_or_none("batchSize", batch_size)
self._decode_custom = False
self._orig_codec_options = target.codec_options
if target.codec_options.type_registry._decoder_map:
self._decode_custom = True
# Keep the type registry so that we support encoding custom types
# in the pipeline.
self._target = target.with_options( # type: ignore
codec_options=target.codec_options.with_options(
document_class=RawBSONDocument))
else:
self._target = target
self._pipeline = copy.deepcopy(pipeline)
self._full_document = full_document
self._uses_start_after = start_after is not None
self._uses_resume_after = resume_after is not None
self._resume_token = copy.deepcopy(start_after or resume_after)
self._max_await_time_ms = max_await_time_ms
self._batch_size = batch_size
self._collation = collation
self._start_at_operation_time = start_at_operation_time
self._session = session
self._comment = comment
# Initialize cursor.
self._cursor = self._create_cursor()
def __init__(self, target, pipeline, full_document, resume_after,
max_await_time_ms, batch_size, collation,
start_at_operation_time, session):
if pipeline is None:
pipeline = []
elif not isinstance(pipeline, list):
raise TypeError("pipeline must be a list")
common.validate_string_or_none('full_document', full_document)
validate_collation_or_none(collation)
common.validate_non_negative_integer_or_none("batchSize", batch_size)
self._target = target
self._pipeline = copy.deepcopy(pipeline)
self._full_document = full_document
self._resume_token = copy.deepcopy(resume_after)
self._max_await_time_ms = max_await_time_ms
self._batch_size = batch_size
self._collation = collation
self._start_at_operation_time = start_at_operation_time
self._session = session
self._cursor = self._create_cursor()
