Package Methods (0.2.1)

_verify_schema() -> None

add_message(message: langchain_core.messages.base.BaseMessage) -> None

clear() -> None

_create_connector_engine(
 instance_connection_name: str, database: str, user: str, password: str
) -> sqlalchemy.engine.base.Engine

_load_document_table(table_name: str) -> sqlalchemy.sql.schema.Table

connect() -> sqlalchemy.engine.base.Connection

from_instance(
 project_id: str, region: str, instance: str, database: str, user: str, password: str
) -> langchain_google_cloud_sql_mssql.engine.MSSQLEngine

init_chat_history_table(table_name: str) -> None

init_document_table(
 table_name: str,
 metadata_columns: typing.List[sqlalchemy.sql.schema.Column] = [],
 content_column: str = "page_content",
 metadata_json_column: typing.Optional[str] = "langchain_metadata",
 overwrite_existing: bool = False,
) -> None

MSSQLDocumentSaver(
 engine: langchain_google_cloud_sql_mssql.engine.MSSQLEngine,
 table_name: str,
 content_column: typing.Optional[str] = None,
 metadata_json_column: typing.Optional[str] = None,
)

add_documents(docs: typing.List[langchain_core.documents.base.Document]) -> None

delete(docs: typing.List[langchain_core.documents.base.Document]) -> None

MSSQLLoader(
 engine: langchain_google_cloud_sql_mssql.engine.MSSQLEngine,
 table_name: str = "",
 query: str = "",
 content_columns: typing.Optional[typing.List[str]] = None,
 metadata_columns: typing.Optional[typing.List[str]] = None,
 metadata_json_column: typing.Optional[str] = None,
)

lazy_load() -> typing.Iterator[langchain_core.documents.base.Document]

load() -> typing.List[langchain_core.documents.base.Document]