tlo.logging package

Submodules

• tlo.logging.core module
  • disable()
  • getLogger()
  • Logger
    • Logger.HASH_LEN
    • Logger.level
    • Logger.handlers
    • Logger.addHandler()
    • Logger.isEnabledFor()
    • Logger.reset_attributes()
    • Logger.setLevel()
    • Logger.critical()
    • Logger.debug()
    • Logger.info()
    • Logger.warning()
• tlo.logging.encoding module
  • PandasEncoder
    • PandasEncoder.default()
• tlo.logging.helpers module
  • set_output_file()
  • set_logging_levels()
  • init_logging()
  • set_simulation()
• tlo.logging.reader module
  • LogData
    • LogData.parse_log_line()
    • LogData.get_log_dataframes()
    • LogData.parse_logged_dataframe()

Module contents

disable(level)

getLogger(name='tlo')

Returns a TLO logger of the specified name

set_output_file(log_path: Path) → FileHandler

Add filehandler to logger

Parameters

log_path – path for file

Returns

filehandler object

init_logging(add_stdout_handler=True)

Initialise default logging with stdout stream

set_simulation(simulation)

Inject simulation into logger for structured logging, called by the simulation :param simulation: :return:

set_logging_levels(custom_levels: Dict[str, int], modules: Iterable[str])

Set custom logging levels for disease modules

Parameters

• custom_levels – Dictionary of modules and their level, ‘*’ can be used as a key for all modules

• modules – string values of all registered modules