57 lines
2.3 KiB
Python
57 lines
2.3 KiB
Python
from collections import OrderedDict
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import wikipedia
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from vcinema_utils import VCinemaUtils
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# Page ID of https://wiki.jacknet.io/books/vcinema/page/references
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PAGE_ID = 62
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def get_films_by_reference(viewings):
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viewings_filtered_by_keyword = VCinemaUtils.filter_viewings(viewings, "keywords")
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viewings_filtered_by_reference_keyword = {k: v for k, v in viewings_filtered_by_keyword.items() if k.startswith("reference-to")}
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return viewings_filtered_by_reference_keyword
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def update_page(token_id, token_secret, films_by_reference_keyword):
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page = build_page(films_by_reference_keyword)
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Bookstack.update_page(VCinemaUtils.JACKNET_WIKI_URL, token_id, token_secret, PAGE_ID, markdown=page)
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def build_page(films_by_reference_keyword):
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reference_keywords_sorted = OrderedDict(sorted(films_by_reference_keyword.items(), key=lambda t: t[0]))
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table = "| Referenced | Films |\n| - | - |"
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for reference_keyword in reference_keywords_sorted.keys():
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table += "\n"
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row_data = []
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referenced = reference_keyword[13:].replace("-", " ")
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if referenced.startswith("a "):
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referenced = referenced[2:]
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else:
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referenced = referenced
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try:
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searches = wikipedia.search(referenced, suggestion=False)
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referenced_page = wikipedia.page(title=referenced, auto_suggest=False)
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row_data.append("[{}]({}) ()".format(referenced_page.title, referenced_page.url, reference_keyword))
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except wikipedia.DisambiguationError as e1:
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row_data.append("[{}](https://en.wikipedia.org/wiki/{})) ()".format(e1.title, e1.title.replace(" ", "_"), reference_keyword))
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except wikipedia.PageError as _:
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try:
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referenced_page = wikipedia.page(title=searches[0], auto_suggest=False)
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row_data.append("[{}]({}) ()".format(referenced_page.title, referenced_page.url, reference_keyword))
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except wikipedia.DisambiguationError as e2:
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row_data.append(
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"[{}](https://en.wikipedia.org/wiki/{})) ()".format(e2.title, e2.title.replace(" ", "_"),reference_keyword))
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row_data.append(VCinemaUtils.get_film_list(reference_keywords_sorted[reference_keyword]))
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table += " | ".join(row_data)
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return table
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