samgis/__init__.py

"""Get machine learning predictions from geodata raster images"""
# not used here but contextily_tile is imported in samgis.io.tms2geotiff
from contextily import tile as contextily_tile
from pathlib import Path

from samgis.utilities.constants import SERVICE_NAME


PROJECT_ROOT_FOLDER = Path(globals().get("__file__", "./_")).absolute().parent.parent
MODEL_FOLDER = Path(PROJECT_ROOT_FOLDER / "machine_learning_models")
try:
    from aws_lambda_powertools import Logger

    app_logger = Logger(service=SERVICE_NAME)
except ModuleNotFoundError:
    import loguru

    def setup_logging(debug: bool = False, formatter: str = "{time} - {level} - ({extra[request_id]}) {message} "
                      ) -> loguru.logger:
        """
        Create a logging instance with log string formatter.

        Args:
            debug: logging debug argument
            formatter: log string formatter

        Returns:
            Logger

        """
        import sys

        logger = loguru.logger
        logger.remove()
        level_logger = "DEBUG" if debug else "INFO"
        logger.add(sys.stdout, format=formatter, level=level_logger)
        logger.info(f"type_logger:{type(logger)}, logger:{logger}.")
        return logger


    app_logger = setup_logging(debug=True)