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# -*- coding: utf-8 -*-
"""
This plugin extends the original series plugin
by FELD Boris <lothiraldan@gmail.com>
Copyright (c) Leonardo Giordani <giordani.leonardo@gmail.com>
Joins articles in a series and provides variables to
manage the series in the template.
"""
from collections import defaultdict
from pelican import signals
from logging import warning
from operator import itemgetter
def aggregate_series(generator):
series = defaultdict(list)
# This cycles through all articles in the given generator
# and collects the 'series' metadata, if present.
# The 'series_index' metadata is also stored, if specified
for article in generator.articles:
if 'series' in article.metadata:
article_entry = (
article.metadata.get('series_index', None),
article.metadata['date'],
article
)
series[article.metadata['series']].append(article_entry)
# This uses items() which on Python2 is not a generator
# but we are dealing with a small amount of data so
# there shouldn't be performance issues =)
for series_name, series_articles in series.items():
# This is not DRY but very simple to understand
forced_order_articles = [
art_tup for art_tup in series_articles if art_tup[0] is not None]
date_order_articles = [
art_tup for art_tup in series_articles if art_tup[0] is None]
forced_order_articles.sort(key=itemgetter(0))
date_order_articles.sort(key=itemgetter(1))
all_articles = forced_order_articles + date_order_articles
ordered_articles = [art_tup[2] for art_tup in all_articles]
enumerated_articles = enumerate(ordered_articles)
for index, article in enumerated_articles:
article.series = dict()
article.series['name'] = series_name
article.series['index'] = index + 1
article.series['all'] = ordered_articles
article.series['all_previous'] = ordered_articles[0: index]
article.series['all_next'] = ordered_articles[index + 1:]
if index > 0:
article.series['previous'] = ordered_articles[index - 1]
else:
article.series['previous'] = None
try:
article.series['next'] = ordered_articles[index + 1]
except IndexError:
article.series['next'] = None
def register():
signals.article_generator_finalized.connect(aggregate_series)