def tag():
if request.method == 'GET':
articles = ArticleApi.rtrv_by_range(0, 100)
tagged_id_list = ArticleApi.rtrv_all_tagged_articles()
return render_template("pages/tag/tag.html", articles=articles, tagged_id_list=tagged_id_list,
target_modal="wordModal")
else:
_id = request.form['pubMed_id']
category = request.form['category']
terms = request.form['terms']
general = request.form['general']
result = ArticleApi.create_tag(_id, terms, general, category)
return jsonify(
data={
"id": _id,
"category": category
}
)
def tag_one_sentence(_id):
if request.method == 'GET':
article = ArticleApi.rtrv_one(pubMed_id=_id)
abstract = article.abstract
tagged_sentence_list = ArticleApi.rtrv_tagged_sentence_list(_id)
sent_detector = nltk.data.load('tokenizers/punkt/english.pickle')
sentences = [s.rstrip() for s in sent_detector.tokenize(abstract)]
return jsonify(
data=render_template("pages/tag/sentences.html", sentences=sentences, article=article,
tagged_sentence_list=tagged_sentence_list)
)
else:
sentence_list = []
for s in (request.form.getlist(key) for key in request.form.keys()):
sentence_list.append(s[0])
ArticleApi.create_tag_sentence(_id, sentence_list)
return jsonify(
data={
"id": _id,
"result": "success"
}
)
def tag_one(_id):
return jsonify(
data=render_template("pages/tag/oneArticle.html", article=ArticleApi.rtrv_one(pubMed_id=_id))
)
def tag_sentence(page):
articles = ArticleApi.rtrv_by_range(1091 + (int(page) - 1) * 50, 1091 + int(page) * 50)
tagged_id_list = ArticleApi.rtrv_all_tagged_articles()
return render_template("pages/tag/tag.html", articles=articles, tagged_id_list=tagged_id_list,
target_modal="sentenceModal", current_page=int(page))
