notice

This is documentation for Rasa Open Source Documentation v2.1.x, which is no longer actively maintained.
For up-to-date documentation, see the latest version (2.5.x).

Version: 2.1.x

rasa.core.utils

configure_file_logging

configure_file_logging(logger_obj: logging.Logger, log_file: Optional[Text]) -> None

Configure logging to a file.

Arguments:

  • logger_obj - Logger object to configure.
  • log_file - Path of log file to write to.

is_int

is_int(value: Any) -> bool

Checks if a value is an integer.

The type of the value is not important, it might be an int or a float.

one_hot

one_hot(hot_idx: int, length: int, dtype: Optional[Text] = None) -> np.ndarray

Create a one-hot array.

Arguments:

  • hot_idx - Index of the hot element.
  • length - Length of the array.
  • dtype - numpy.dtype of the array.

Returns:

One-hot array.

HashableNDArray Objects

class HashableNDArray()

Hashable wrapper for ndarray objects.

Instances of ndarray are not hashable, meaning they cannot be added to sets, nor used as keys in dictionaries. This is by design - ndarray objects are mutable, and therefore cannot reliably implement the hash() method.

The hashable class allows a way around this limitation. It implements the required methods for hashable objects in terms of an encapsulated ndarray object. This can be either a copied instance (which is safer) or the original object (which requires the user to be careful enough not to modify it).

__init__

| __init__(wrapped, tight=False) -> None

Creates a new hashable object encapsulating an ndarray.

wrapped The wrapped ndarray.

tight Optional. If True, a copy of the input ndaray is created. Defaults to False.

unwrap

| unwrap() -> np.ndarray

Returns the encapsulated ndarray.

If the wrapper is "tight", a copy of the encapsulated ndarray is returned. Otherwise, the encapsulated ndarray itself is returned.

dump_obj_as_yaml_to_file

dump_obj_as_yaml_to_file(filename: Union[Text, Path], obj: Any, should_preserve_key_order: bool = False) -> None

Writes obj to the filename in YAML repr.

Arguments:

  • filename - Target filename.
  • obj - Object to dump.
  • should_preserve_key_order - Whether to preserve key order in obj.

list_routes

list_routes(app: Sanic)

List all the routes of a sanic application.

Mainly used for debugging.

extract_args

extract_args(kwargs: Dict[Text, Any], keys_to_extract: Set[Text]) -> Tuple[Dict[Text, Any], Dict[Text, Any]]

Go through the kwargs and filter out the specified keys.

Return both, the filtered kwargs as well as the remaining kwargs.

is_limit_reached

is_limit_reached(num_messages: int, limit: int) -> bool

Determine whether the number of messages has reached a limit.

Arguments:

  • num_messages - The number of messages to check.
  • limit - Limit on the number of messages.

Returns:

True if the limit has been reached, otherwise False.

read_lines

read_lines(filename, max_line_limit=None, line_pattern=".*") -> Generator[Text, Any, None]

Read messages from the command line and print bot responses.

file_as_bytes

file_as_bytes(path: Text) -> bytes

Read in a file as a byte array.

convert_bytes_to_string

convert_bytes_to_string(data: Union[bytes, bytearray, Text]) -> Text

Convert data to string if it is a bytes-like object.

get_file_hash

get_file_hash(path: Text) -> Text

Calculate the md5 hash of a file.

download_file_from_url

async download_file_from_url(url: Text) -> Text

Download a story file from a url and persists it into a temp file.

Arguments:

  • url - url to download from

Returns:

The file path of the temp file that contains the downloaded content.

pad_lists_to_size

pad_lists_to_size(list_x: List, list_y: List, padding_value: Optional[Any] = None) -> Tuple[List, List]

Compares list sizes and pads them to equal length.

AvailableEndpoints Objects

class AvailableEndpoints()

Collection of configured endpoints.

read_endpoints_from_path

read_endpoints_from_path(endpoints_path: Union[Path, Text, None] = None) -> AvailableEndpoints

Get AvailableEndpoints object from specified path.

Arguments:

  • endpoints_path - Path of the endpoints file to be read. If None the default path for that file is used (endpoints.yml).

Returns:

AvailableEndpoints object read from endpoints file.

set_default_subparser

set_default_subparser(parser, default_subparser) -> None

default subparser selection. Call after setup, just before parse_args()

parser: the name of the parser you're making changes to default_subparser: the name of the subparser to call by default

create_task_error_logger

create_task_error_logger(error_message: Text = "") -> Callable[[Future], None]

Error logger to be attached to a task.

This will ensure exceptions are properly logged and won't get lost.

replace_floats_with_decimals

replace_floats_with_decimals(obj: Any, round_digits: int = 9) -> Any

Convert all instances in obj of float to Decimal.

Arguments:

  • obj - Input object.
  • round_digits - Rounding precision of Decimal values.

Returns:

Input obj with all float types replaced by Decimals rounded to round_digits decimal places.

DecimalEncoder Objects

class DecimalEncoder(json.JSONEncoder)

json.JSONEncoder that dumps Decimals as floats.

default

| default(obj: Any) -> Any

Get serializable object for o.

Arguments:

  • obj - Object to serialize.

Returns:

obj converted to float if o is a Decimals, else the base class default() method.

replace_decimals_with_floats

replace_decimals_with_floats(obj: Any) -> Any

Convert all instances in obj of Decimal to float.

Arguments:

  • obj - A List or Dict object.

Returns:

Input obj with all Decimal types replaced by floats.

number_of_sanic_workers

number_of_sanic_workers(lock_store: Union[EndpointConfig, LockStore, None]) -> int

Get the number of Sanic workers to use in app.run().

If the environment variable constants.ENV_SANIC_WORKERS is set and is not equal to 1, that value will only be permitted if the used lock store is not the InMemoryLockStore.