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authorhut <hut@lavabit.com>2010-04-06 04:51:47 +0200
committerhut <hut@lavabit.com>2010-04-06 04:51:47 +0200
commita9f693859839e407d30ac254347e856d4bece56b (patch)
treed49fe9574d74372bac4c4986dbef22dd458425eb /doc/pydoc/ranger.ext.waitpid_no_intr.html
parent07c9e525fecac3908358ea88578b2a1cd303b85e (diff)
downloadranger-a9f693859839e407d30ac254347e856d4bece56b.tar.gz
core.fm: bugfix
Diffstat (limited to 'doc/pydoc/ranger.ext.waitpid_no_intr.html')
0 files changed, 0 insertions, 0 deletions
 

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#!/bin/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.
"""

import csv
import json
import os
import sys

if sys.version < '3.':
    getuserinput = raw_input
else:
    getuserinput = input

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 = getuserinput()
        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")