papers3.py 文件源码

def main(wf):
    import argparse
    parser = argparse.ArgumentParser(description=__doc__)
    parser.add_argument('query', default=None, type=str)
    args = parser.parse_args()
    log.debug('args : {}'.format(args))

    items = wf.cached_data('papers_all', read_papers_entries,
                           max_age=600) # cache 600 seconds
    log.debug('Cached {} items from Papers3'.format(len(items)))

    # fuzzy-search by query
    # http://www.deanishe.net/alfred-workflow/user-manual/filtering.html?highlight=match_all
    ret = wf.filter(args.query, items,
                    key=lambda t: (t['title'] + ' ' +
                                   t['author names'] + ' ' +
                                   t['bundle name'] + ' ' +
                                   t['keyword names']),
                    match_on=(workflow.MATCH_ALL ^ workflow.MATCH_ALLCHARS),
                    min_score=20,
                    include_score=True)

    #ret.sort(key=lambda t: t[1], reverse=True)

    if not ret:
        wf.add_item('No matchings', icon=workflow.ICON_WARNING)

    for entry, score, _ in ret:
        title, authors = entry['title'], entry['author names']
        bundle, year = entry['bundle name'], entry['publication year']
        citekey = entry['citekey']
        wf.add_item(title=title,
                    subtitle=authors + (" (%s %s)" % (bundle, year)), #+ (" (%.3f)" % score),
                    modifier_subtitles={
                        'alt' : citekey,
                        'shift' : 'Copy the BibTeX record of ' + citekey,
                    },
                    valid=True,
                    arg=citekey,
                    uid=citekey,
                    type='file',
                    icon='icon.png'
                    )

    wf.send_feedback()
    return 0