Source code for analysis_engine.load_algo_dataset_from_s3

Helper for loading datasets from s3

import boto3
import analysis_engine.consts as ae_consts
import analysis_engine.prepare_dict_for_algo as prepare_utils
import analysis_engine.s3_read_contents_from_key as s3_utils
import spylunking.log.setup_logging as log_utils

log = log_utils.build_colorized_logger(name=__name__)

[docs]def load_algo_dataset_from_s3( s3_key, s3_address, s3_bucket, s3_access_key, s3_secret_key, s3_region_name, s3_secure, serialize_datasets=ae_consts.DEFAULT_SERIALIZED_DATASETS, compress=False, encoding='utf-8'): """load_algo_dataset_from_s3 Load an algorithm-ready dataset for algorithm backtesting from a local file :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 ``False`` and algorithms use ``zlib`` for compression) :param encoding: optional - string for data encoding **Minio (S3) connectivity arguments** :param s3_enabled: bool - toggle for auto-archiving on Minio (S3) (default is ``True``) :param s3_key: string - key to save the data in redis (default is ``None``) :param s3_address: Minio S3 connection string format: ``host:port`` (default is ``localhost:9000``) :param s3_bucket: S3 Bucket for storing the artifacts (default is ``dev``) which should be viewable on a browser: http://localhost:9000/minio/dev/ :param s3_access_key: S3 Access key (default is ``trexaccesskey``) :param s3_secret_key: S3 Secret key (default is ``trex123321``) :param s3_region_name: S3 region name (default is ``us-east-1``) :param s3_secure: Transmit using tls encryption (default is ``False``) """ f'start s3={s3_address}:{s3_bucket}/{s3_key}') data_from_file = None endpoint_url = f'http://{s3_address}' if s3_secure: endpoint_url = f'https://{s3_address}' s3 = boto3.resource( 's3', endpoint_url=endpoint_url, aws_access_key_id=s3_access_key, aws_secret_access_key=s3_secret_key, region_name=s3_region_name, config=boto3.session.Config(signature_version='s3v4')) # compressed files will not work with json.dumps try: data_from_file = s3_utils.s3_read_contents_from_key( s3=s3, s3_bucket_name=s3_bucket, s3_key=s3_key, encoding=encoding, convert_as_json=not compress, compress=compress) except Exception as e: if ( 'An error occurred (NoSuchBucket) ' 'when calling the GetObject operation') in str(e): msg = ( f'missing s3_bucket={s3_address} in s3_address={s3_bucket}') log.error(msg) raise Exception(msg) else: raise Exception(e) if not data_from_file: log.error( 'missing data from s3={s3_address}:{s3_bucket}/{s3_key}') return None return prepare_utils.prepare_dict_for_algo( data=data_from_file, compress=False, convert_to_dict=True, encoding=encoding)
# end of load_algo_dataset_from_s3