add faq

requirements.txt

@@ -59,4 +59,5 @@ deeppavlov
 sentence-transformers==0.3.7.1
 transformers==3.3.1
 Flask-Cors==3.0.9
-flask-restplus
+flask-restplus
+gspread==3.7.0

support_model.py

@@ -1,4 +1,5 @@
 # -*- coding: utf-8 -*-
+import gspread
 from gensim.summarization import keywords
 from gensim.parsing.preprocessing import remove_stopwords
 
@@ -44,6 +45,21 @@ def remove_slack_commands(query):
     return query
 
 
+def is_query_in_row(gs_row, query):
+    return query in gs_row['known_question'] or query in gs_row['known_question_synonymous'].split(', ')
+
+
+def get_answer_if_known(query):
+    gc = gspread.service_account(filename='ods-qna-secret.json')
+    questions = gc.open("faq fixed").sheet1
+
+    gs_rows = questions.get_all_records()
+
+    for gs_row in gs_rows:
+        if is_query_in_row(gs_row, query):
+            return [gs_row['known_answer']]
+
+
 def get_answer(query, use_lower=True, use_keywords=False, use_remove_stopwords=False, model_name=MODEL_NAME,
                use_remove_slack_commands=True
                ):
@@ -57,6 +73,10 @@ def get_answer(query, use_lower=True, use_keywords=False, use_remove_stopwords=F
         query = remove_slack_commands(query)
 
     try:
+        known_answer = get_answer_if_known(query)
+        if known_answer:
+            return known_answer
+
         answer_list = []
         if model_name == ModelNames.ELASTIC:
             answer_list = elastic_search_baseline.get_answer(query)