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This commit is contained in:
Sarah 2022-06-27 00:18:03 +01:00
parent 0a5247691f
commit 0a1325c98d
2 changed files with 18 additions and 43 deletions
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35
update_wiki.py
View File

@ -37,24 +37,25 @@ def update_wiki(token_id, token_secret, update_csv, pages):
update_page_count = sum([update_films_by_year, update_films_by_country, update_film_references,
update_hidden_themes, update_keyword_scores])
with IncrementalBar('Processing viewing data', max=update_page_count, suffix='%(percent).1f%% - %(eta)ds remaining', check_tty=False) as bar:
if update_films_by_year:
films_by_year = FilmsByYear.get_films_by_year(viewings)
bar.next()
if update_films_by_country:
films_by_country = FilmsByCountry.get_films_by_country(viewings)
bar.next()
if update_film_references:
films_by_reference = FilmsByReference.get_films_by_reference(viewings)
bar.next()
if update_hidden_themes:
hidden_themes = HiddenThemes.get_hidden_themes(viewings, token_id, token_secret)
bar.next()
if update_keyword_scores:
keyword_scores = KeywordScores.get_keyword_scores(viewings)
bar.next()
print("Processing viewing data")
bar.finish()
if update_films_by_year:
films_by_year = FilmsByYear.get_films_by_year(viewings)
FilmsByYear.update_page(token_id, token_secret, films_by_year)
if update_films_by_country:
films_by_country = FilmsByCountry.get_films_by_country(viewings)
FilmsByCountry.update_page(token_id, token_secret, films_by_country)
if update_film_references:
films_by_reference = FilmsByReference.get_films_by_reference(viewings)
FilmsByReference.update_page(token_id, token_secret, films_by_reference)
if update_hidden_themes:
hidden_themes = HiddenThemes.get_hidden_themes(viewings, token_id, token_secret)
HiddenThemes.update_page(token_id, token_secret, hidden_themes)
if update_keyword_scores:
keyword_scores = KeywordScores.get_keyword_scores(viewings)
KeywordScores.update_page(token_id, token_secret, keyword_scores)
print("Done!")
with IncrementalBar('Updating pages', max=update_page_count, check_tty=False) as bar:
if update_films_by_year:

26
wiki_pages/ActorScores.py
View File

@ -1,26 +0,0 @@
from collections import Counter, OrderedDict
import warnings
from vcinema_utils import VCinemaUtils
warnings.filterwarnings("ignore")
def get_actor_scores(viewings):
for viewing_ind in range(len(viewings)):
viewing = viewings[viewing_ind]
cast_list = []
for cast_member in viewing['cast']:
cast_member_name = (cast_member['name'], cast_member.currentRole)
cast_list.append(cast_member_name)
viewings[viewing_ind]['cast'] = cast_list
viewings_filtered_by_cast_member = VCinemaUtils.filter_viewings(viewings, "cast")
viewings_filtered_by_cast_member = OrderedDict(sorted(viewings_filtered_by_cast_member.items(), key=lambda t: len(t[1]), reverse=True))
return viewings_filtered_by_cast_member