memoryscope.core.config

class memoryscope.core.config.Arguments(language: Literal['cn', 'en'] = 'cn', thread_pool_max_workers: int = 5, memory_chat_class: str = 'cli_memory_chat', chat_stream: bool | None = None, human_name: str = 'user', assistant_name: str = 'AI', consolidate_memory_interval_time: int | None = 1, reflect_and_reconsolidate_interval_time: int | None = 15, worker_params: Dict[str, dict] = <factory>, generation_backend: str = 'dashscope_generation', generation_model: str = 'qwen-max', generation_params: dict = <factory>, embedding_backend: str = 'dashscope_generation', embedding_model: str = 'text-embedding-v2', embedding_params: dict = <factory>, rank_backend: str = 'dashscope_rank', rank_model: str = 'gte-rerank', rank_params: dict = <factory>, es_index_name: str = 'memory_index', es_url: str = 'http://localhost:9200', retrieve_mode: str = 'dense', enable_ranker: bool = False, enable_today_contra_repeat: bool = True, enable_long_contra_repeat: bool = False, output_memory_max_count: int = 20)

基类：object

language: Literal['cn', 'en'] = 'cn'

thread_pool_max_workers: int = 5

memory_chat_class: str = 'cli_memory_chat'

chat_stream: bool | None = None

human_name: str = 'user'

assistant_name: str = 'AI'

consolidate_memory_interval_time: int | None = 1

reflect_and_reconsolidate_interval_time: int | None = 15

worker_params: Dict[str, dict]

generation_backend: str = 'dashscope_generation'

generation_model: str = 'qwen-max'

generation_params: dict

embedding_backend: str = 'dashscope_generation'

embedding_model: str = 'text-embedding-v2'

embedding_params: dict

rank_backend: str = 'dashscope_rank'

rank_model: str = 'gte-rerank'

rank_params: dict

es_index_name: str = 'memory_index'

es_url: str = 'http://localhost:9200'

retrieve_mode: str = 'dense'

enable_ranker: bool = False

enable_today_contra_repeat: bool = True

enable_long_contra_repeat: bool = False

output_memory_max_count: int = 20

__init__(language: ~typing.Literal['cn', 'en'] = 'cn', thread_pool_max_workers: int = 5, memory_chat_class: str = 'cli_memory_chat', chat_stream: bool | None = None, human_name: str = 'user', assistant_name: str = 'AI', consolidate_memory_interval_time: int | None = 1, reflect_and_reconsolidate_interval_time: int | None = 15, worker_params: ~typing.Dict[str, dict] = <factory>, generation_backend: str = 'dashscope_generation', generation_model: str = 'qwen-max', generation_params: dict = <factory>, embedding_backend: str = 'dashscope_generation', embedding_model: str = 'text-embedding-v2', embedding_params: dict = <factory>, rank_backend: str = 'dashscope_rank', rank_model: str = 'gte-rerank', rank_params: dict = <factory>, es_index_name: str = 'memory_index', es_url: str = 'http://localhost:9200', retrieve_mode: str = 'dense', enable_ranker: bool = False, enable_today_contra_repeat: bool = True, enable_long_contra_repeat: bool = False, output_memory_max_count: int = 20) → None

class memoryscope.core.config.ConfigManager(config_path: str | None = None, arguments: Arguments | None = None, demo_config_name: str = 'demo_config_zh.yaml', **kwargs)

基类：object

__init__(config_path: str | None = None, arguments: Arguments | None = None, demo_config_name: str = 'demo_config_zh.yaml', **kwargs)

read_config(config_path: str)

static update_ignore_none(config, new_config_dict)

static update_global_by_arguments(config: dict, arguments: Arguments)

static update_memory_chat_by_arguments(config: dict, arguments: Arguments)

static update_memory_service_by_arguments(config: dict, arguments: Arguments)

static update_worker_by_arguments(config: dict, arguments: Arguments)

static update_model_by_arguments(config: dict, arguments: Arguments)

static update_memory_store_by_arguments(config: dict, arguments: Arguments)

update_config_by_arguments(arguments: Arguments)

add_node_object(node: str, name: str, config: dict)

pop_node_object(node: str, name: str)

clear_node_all(node: str)

dump_config(file_type: Literal['json', 'yaml'] = 'yaml', file_path: str | None = None) → str