#!/usr/bin/env python """ usage: ./convert_papermode_to_metadata.py This script converts the .paperinfo CSV file in the current directory to an equivalent .metadata.json file. ranger used to store metadata in .paperinfo files, but that format was rather limited, so .metadata.json files were introduced. """ from __future__ import (absolute_import, division, print_function) import csv import json import os import sys if sys.version_info[0] < 3: input = raw_input # NOQA pylint: disable=undefined-variable,redefined-builtin,invalid-name FIELDS = ["name", "year", "title", "authors", "url"] def replace(source, target): if not os.path.exists(source): print("Source file `%s' doesn't exist, skipping." % source) return # Ask for user confirmation if the target file already exists if os.path.exists(target): sys.stdout.write("Warning: target file `%s' exists! Overwrite? [y/N]") userinput = input() if not (userinput.startswith("y") or userinput.startswith("Y")): print("Skipping file `%s'" % source) return result = dict() # Read the input file and convert it to a dictionary with open(".paperinfo", "r") as infile: reader = csv.reader(infile, skipinitialspace=True) for lineno, row in enumerate(reader): if len(row) != len(FIELDS): print("skipping invalid row `%s' on line %d" % (row, lineno)) continue name = row[0] entry = {} # Filling up the resulting entry dict for i, column in enumerate(row[1:]): if column: entry[FIELDS[i + 1]] = column # Adding the dict if it isn't empty if entry: result[name] = entry # Write the obtained dictionary into the target file if result: with open(".metadata.json", "w") as outfile: json.dump(result, outfile, indent=2) else: print("Skipping writing `%s' due to a lack of data" % target) if __name__ == "__main__": if set(['--help', '-h']) & set(sys.argv[1:]): print(__doc__.strip()) else: replace(".paperinfo", ".metadata.json")