Yandex DB#
The Yandex DB module provides a version of the DBContextStorage class that designed to work with
Yandex and other databases. Yandex DataBase is a fully-managed cloud-native SQL service that makes it easy to set up,
operate, and scale high-performance and high-availability databases for your applications.
The Yandex DB module uses the Yandex Cloud SDK, which is a python library that allows you to work with Yandex Cloud services using python. This allows Chatsky to easily integrate with the Yandex DataBase and take advantage of the scalability and high-availability features provided by the service.
- class YDBContextStorage(path, rewrite_existing=False, partial_read_config=None, table_name_prefix='chatsky_table', timeout=5)[source]#
Bases:
DBContextStorageVersion of the
DBContextStoragefor YDB.CONTEXT table is represented by contexts table. Columns of the table are: id, current_turn_id, created_at updated_at, misc and framework_data.
TURNS table is represented by turns table. olumns of the table are: id, key, label, request and response.
- Parameters:
path (
str) – Standard sqlalchemy URI string. One of grpc or grpcs can be chosen as a protocol. Example: grpc://localhost:2134/local. NB! Do not forget to provide credentials in environmental variables or set YDB_ANONYMOUS_CREDENTIALS variable to 1!rewrite_existing (
bool) – Whether TURNS modified locally should be updated in database or not.partial_read_config (
Optional[Dict[Literal['labels','requests','responses'],Union[Literal['__all__'],int,Set[int]]]]) – Dictionary of subscripts for all possible turn items.table_name_prefix (
str) – “namespace” prefix for the two tables created for context storing.timeout (
int) – Waiting timeout for the database driver.
- _LIMIT_VAR = 'limit'#
- _KEY_VAR = 'key'#
-
is_concurrent:
bool= True#
- async _load_main_info(ctx_id)[source]#
- Return type:
Optional[ContextMainInfo]