def display_selection():
"""Stores and displays embedded video, transcript, and vocabulary of selected talk."""
key_word = request.args.get('key_word')
title = request.args.get('title')
slug = request.args.get('slug')
talk_id = request.args.get('talk_id')
video= get_video(slug)
stored_transcript = Transcript.query.get(talk_id)
#vocab_transcript: a string--used for parsing vocabulary
#webpage_transcript: a dict --used display text in paragraph format
if stored_transcript:
webpage_transcript = get_webpage_transcript(slug)
vocab_list = Word.query.filter_by(talk_id=talk_id).all()
else:
vocab_transcript = get_vocab_transcript(slug) #a string that get's stored
Transcript.add_transcript(talk_id, slug, vocab_transcript, title)
webpage_transcript = get_webpage_transcript(slug) # a dict of transcript paragraphs
vocab_list = []
for vocab, attributes in get_vocab(vocab_transcript):
#get_vocab()returns a list of tuple pairs: (vocab, (attributes))
#need make sure each vocabulary is stored first
stored_word = Word.query.filter_by(word = vocab, talk_id = talk_id).first()
if stored_word:
vocab_list.append(stored_word)
else:
vocab = vocab
stem = attributes[0]
freq = attributes[1]
sentence = attributes[2]
selection = attributes[3]
word = Word.add_word(word=vocab,
talk_id=talk_id,
stem=stem,
freq=freq,
sentence=unicode(sentence, 'utf-8'),
selection=selection)
vocab_list.append(word)
return render_template("display_selection.html",
video = video,
webpage_transcript = webpage_transcript,
vocab_list = vocab_list,
key_word = key_word,
slug = slug,
talk_id = talk_id,
title = title)
def fetch_vocab():
vocab_transcript = request.args.get('vocab_transcript')
vocab_list = []
for vocab, attributes in get_vocab(vocab_transcript):
#get_vocab()returns a list of tuple pairs: (vocab, (attributes))
#need make sure each vocabulary is stored first
stored_word = Word.query.filter_by(word = vocab, talk_id = talk_id).first()
if stored_word:
vocab_list.append(stored_word)
else:
vocab = vocab
stem = attributes[0]
freq = attributes[1]
sentence = attributes[2]
selection = attributes[3]
word = Word.add_word(word=vocab,
talk_id=talk_id,
stem=stem,
freq=freq,
sentence=unicode(sentence, 'utf-8'),
selection=selection)
vocab_list.append(word)
return jsonify({"vocab_list":vocab_list})
