From b369442e41b9538b0de9dcb01b6012f6fea6aee6 Mon Sep 17 00:00:00 2001
From: Alex <alex.roidl@gmx.de>
Date: Sun, 10 Jun 2018 19:22:24 +0200
Subject: [PATCH] views

---
 app/views.py | 48 ++++++++++++++++++++++++------------------------
 1 file changed, 24 insertions(+), 24 deletions(-)

diff --git a/app/views.py b/app/views.py
index 7c11b44..482d0f0 100755
--- a/app/views.py
+++ b/app/views.py
@@ -20,7 +20,7 @@ import time
 from csv import DictWriter, DictReader
 import io
 from sqlalchemy.inspection import inspect
-import autocomplete
+#import autocomplete
 import sys
 
 import os
@@ -399,7 +399,7 @@ def show_instances():
 
 @app.route('/books', methods= ['POST','GET'])
 def show_books():
-    autocomplete.load() #Train markov model once, for autocomplete in search
+    #autocomplete.load() #Train markov model once, for autocomplete in search
 
     books = db.session.query(Book).all()
     search = SearchForm(request.form)
@@ -435,28 +435,28 @@ def search_results(searchtype, query):
     return render_template('results.html', form=search, books=results, books_all=random_order, searchtype=search.select.data, query=query)
 
 ## Search - autocomplete
-autocomplete_suggestions = []
-autocomplete.load() #Train markov model once, for autocomplete in search
-
-@app.route('/autocomplete_suggestions', methods=['GET', 'POST'])
-def test1():
-    if request.method == 'POST':
-        query = request.form['search']
-        query_tokenized = query.lower().split()
-        print(query_tokenized)
-        word_1 = query_tokenized[-2]
-        word_2 = query_tokenized[-1]
-        #print(word_1)
-        autocomplete_output = autocomplete.predict(word_1 , word_2)
-        autocomplete_suggestions.clear()
-        for suggestion, score in autocomplete_output:
-            autocomplete_suggestions.append(suggestion)
-
-        session['autocomplete_suggestions'] = str(autocomplete_suggestions)
-
-        print(session['autocomplete_suggestions'])
-
-    return Response(json.dumps(session['autocomplete_suggestions']), mimetype='application/json')
+#autocomplete_suggestions = []
+#autocomplete.load() #Train markov model once, for autocomplete in search
+
+# @app.route('/autocomplete_suggestions', methods=['GET', 'POST'])
+# def test1():
+#     if request.method == 'POST':
+#         query = request.form['search']
+#         query_tokenized = query.lower().split()
+#         print(query_tokenized)
+#         word_1 = query_tokenized[-2]
+#         word_2 = query_tokenized[-1]
+#         #print(word_1)
+#         autocomplete_output = autocomplete.predict(word_1 , word_2)
+#         autocomplete_suggestions.clear()
+#         for suggestion, score in autocomplete_output:
+#             autocomplete_suggestions.append(suggestion)
+#
+#         session['autocomplete_suggestions'] = str(autocomplete_suggestions)
+#
+#         print(session['autocomplete_suggestions'])
+#
+#     return Response(json.dumps(session['autocomplete_suggestions']), mimetype='application/json')
 
 ## STACKS!