Source code for analysis_engine.load_algo_dataset_from_file

Helper for loading datasets from a file

**Supported environment variables**


    # to show debug, trace logging please export ``SHARED_LOG_CFG``
    # to a debug logger json file. To turn on debugging for this
    # library, you can export this variable to the repo's
    # included file with the command:
    export SHARED_LOG_CFG=/opt/sa/analysis_engine/log/debug-logging.json

import analysis_engine.consts as ae_consts
import analysis_engine.prepare_dict_for_algo as prepare_utils
import spylunking.log.setup_logging as log_utils

log = log_utils.build_colorized_logger(name=__name__)

[docs]def load_algo_dataset_from_file( path_to_file, serialize_datasets=ae_consts.DEFAULT_SERIALIZED_DATASETS, compress=True, encoding='utf-8'): """load_algo_dataset_from_file Load an algorithm-ready dataset for algorithm backtesting from a local file :param path_to_file: string - path to file holding an algorithm-ready dataset :param serialize_datasets: optional - list of dataset names to deserialize in the dataset :param compress: optional - boolean flag for decompressing the contents of the ``path_to_file`` if necessary (default is ``True`` and algorithms use ``zlib`` for compression) :param encoding: optional - string for data encoding """ f'start: {path_to_file}') data_from_file = None file_args = 'rb' if not compress: file_args = 'r' with open(path_to_file, file_args) as cur_file: data_from_file = if not data_from_file: log.error(f'missing data from file={path_to_file}') return None return prepare_utils.prepare_dict_for_algo( data=data_from_file, compress=compress, convert_to_dict=True, encoding=encoding)
# end of load_algo_dataset_from_file