algokit_utils.config

algokit_utils.config

Attributes

ALGOKIT_PROJECT_ROOT
ALGOKIT_CONFIG_FILENAME
config

Classes

AlgoKitLogger	Instances of the Logger class represent a single logging channel. A
UpdatableConfig	Class to manage and update configuration settings for the AlgoKit project.

Module Contents

ALGOKIT_PROJECT_ROOT

ALGOKIT_CONFIG_FILENAME = ‘.algokit.toml’

class AlgoKitLogger(name: str = ‘algokit-utils-py’, level: int = logging.NOTSET)

Bases: logging.Logger

Instances of the Logger class represent a single logging channel. A “logging channel” indicates an area of an application. Exactly how an “area” is defined is up to the application developer. Since an application can have any number of areas, logging channels are identified by a unique string. Application areas can be nested (e.g. an area of “input processing” might include sub-areas “read CSV files”, “read XLS files” and “read Gnumeric files”). To cater for this natural nesting, channel names are organized into a namespace hierarchy where levels are separated by periods, much like the Java or Python package namespace. So in the instance given above, channel names might be “input” for the upper level, and “input.csv”, “input.xls” and “input.gnu” for the sub-levels. There is no arbitrary limit to the depth of nesting.

classmethod get_null_logger() → logging.Logger

Return a logger that does nothing (a null logger).

class UpdatableConfig

Class to manage and update configuration settings for the AlgoKit project.

Attributes: : debug (bool): Indicates whether debug mode is enabled. project_root (Path | None): The path to the project root directory. trace_all (bool): Indicates whether to trace all operations. trace_buffer_size_mb (int | float): The size of the trace buffer in megabytes. max_search_depth (int): The maximum depth to search for a specific file. populate_app_call_resources (bool): Whether to populate app call resources. logger (logging.Logger): The logger instance to use. Defaults to an AlgoKitLogger instance.

property logger : logging.Logger

Returns the logger instance.

property debug : bool

Returns the debug status.

property project_root : pathlib.Path | None

Returns the project root path.

property trace_all : bool

Indicates whether simulation traces for all operations should be stored.

property trace_buffer_size_mb : int | float

Returns the size of the trace buffer in megabytes.

property populate_app_call_resource : bool

Indicates whether or not to populate app call resources.

with_debug(func: Callable[[], str | None]) → None

Executes a function with debug mode temporarily enabled.

configure(*, debug: bool | None = None, project_root: pathlib.Path | None = None, trace_all: bool = False, trace_buffer_size_mb: float = 256, max_search_depth: int = 10, populate_app_call_resources: bool = True, logger: logging.Logger | None = None) → None

Configures various settings for the application.

• Parameters:
  • debug – Whether debug mode is enabled.
  • project_root – The path to the project root directory.
  • trace_all – Whether to trace all operations. Defaults to False.
  • trace_buffer_size_mb – The trace buffer size in megabytes. Defaults to 256.
  • max_search_depth – The maximum depth to search for a specific file. Defaults to 10.
  • populate_app_call_resources – Whether to populate app call resources. Defaults to True.
  • logger – A custom logger to use. Defaults to AlgoKitLogger instance.

config