# MIT License # # Copyright (c) 2024 dataforgood # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in all # copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE # SOFTWARE. # Standard imports import logging import pickle import sys from pathlib import Path import yaml # Local imports from dotenv import load_dotenv from country_by_country import processor NUM_CLI_ARGS = 3 def process_report(config: dict, pdf_filepath: str) -> None: # Loading API keys from .env file load_dotenv() proc = processor.ReportProcessor(config) return proc.process(pdf_filepath) if __name__ == "__main__": logging.basicConfig(stream=sys.stdout, level=logging.INFO, format="%(message)s") if len(sys.argv) != NUM_CLI_ARGS: logging.error("Usage : python -m country_by_country config.yaml report.pdf") sys.exit(-1) logging.info(f"\nLoading {sys.argv[1]}") with Path(sys.argv[1]).open() as fh: config = yaml.safe_load(fh) assets = process_report(config, sys.argv[2]) # Save all the assets to disk with Path("assets.pkl").open("wb") as fh: pickle.dump(assets, fh) logging.info( "Assets dumped in assets.pkl. You can read then using : \n" + "pickle.load(open('assets.pkl', 'rb'))", )