fix: added increased timout (#400)

Author: b-loved-dreamer

dialogflow/participant_management.py

@@ -18,7 +18,7 @@
 
 from google.cloud import dialogflow_v2beta1 as dialogflow
 
-ROLES = ['HUMAN_AGENT', 'AUTOMATED_AGENT', 'END_USER']
+ROLES = ["HUMAN_AGENT", "AUTOMATED_AGENT", "END_USER"]
 
 
 # [START dialogflow_create_participant]
@@ -32,13 +32,15 @@ def create_participant(project_id, conversation_id, role):
 
     client = dialogflow.ParticipantsClient()
     conversation_path = dialogflow.ConversationsClient.conversation_path(
-        project_id, conversation_id)
+        project_id, conversation_id
+    )
     if role in ROLES:
-        response = client.create_participant(parent=conversation_path,
-                                             participant={'role': role})
-        print('Participant Created.')
-        print('Role: {}'.format(response.role))
-        print('Name: {}'.format(response.name))
+        response = client.create_participant(
+            parent=conversation_path, participant={"role": role}, timeout=400
+        )
+        print("Participant Created.")
+        print("Role: {}".format(response.role))
+        print("Name: {}".format(response.name))
 
         return response
 
@@ -57,45 +59,51 @@ def analyze_content_text(project_id, conversation_id, participant_id, text):
         text: the text message that participant typed."""
 
     client = dialogflow.ParticipantsClient()
-    participant_path = client.participant_path(project_id, conversation_id,
-                                               participant_id)
-    text_input = {'text': text, 'language_code': 'en-US'}
-    response = client.analyze_content(participant=participant_path,
-                                      text_input=text_input)
-    print('AnalyzeContent Response:')
-    print('Reply Text: {}'.format(response.reply_text))
+    participant_path = client.participant_path(
+        project_id, conversation_id, participant_id
+    )
+    text_input = {"text": text, "language_code": "en-US"}
+    response = client.analyze_content(
+        participant=participant_path, text_input=text_input
+    )
+    print("AnalyzeContent Response:")
+    print("Reply Text: {}".format(response.reply_text))
 
     for suggestion_result in response.human_agent_suggestion_results:
         if suggestion_result.error is not None:
-            print('Error: {}'.format(suggestion_result.error.message))
+            print("Error: {}".format(suggestion_result.error.message))
         if suggestion_result.suggest_articles_response:
             for answer in suggestion_result.suggest_articles_response.article_answers:
-                print('Article Suggestion Answer: {}'.format(answer.title))
-                print('Answer Record: {}'.format(answer.answer_record))
+                print("Article Suggestion Answer: {}".format(answer.title))
+                print("Answer Record: {}".format(answer.answer_record))
         if suggestion_result.suggest_faq_answers_response:
             for answer in suggestion_result.suggest_faq_answers_response.faq_answers:
-                print('Faq Answer: {}'.format(answer.answer))
-                print('Answer Record: {}'.format(answer.answer_record))
+                print("Faq Answer: {}".format(answer.answer))
+                print("Answer Record: {}".format(answer.answer_record))
         if suggestion_result.suggest_smart_replies_response:
-            for answer in suggestion_result.suggest_smart_replies_response.smart_reply_answers:
-                print('Smart Reply: {}'.format(answer.reply))
-                print('Answer Record: {}'.format(answer.answer_record))
+            for (
+                answer
+            ) in suggestion_result.suggest_smart_replies_response.smart_reply_answers:
+                print("Smart Reply: {}".format(answer.reply))
+                print("Answer Record: {}".format(answer.answer_record))
 
     for suggestion_result in response.end_user_suggestion_results:
         if suggestion_result.error:
-            print('Error: {}'.format(suggestion_result.error.message))
+            print("Error: {}".format(suggestion_result.error.message))
         if suggestion_result.suggest_articles_response:
             for answer in suggestion_result.suggest_articles_response.article_answers:
-                print('Article Suggestion Answer: {}'.format(answer.title))
-                print('Answer Record: {}'.format(answer.answer_record))
+                print("Article Suggestion Answer: {}".format(answer.title))
+                print("Answer Record: {}".format(answer.answer_record))
         if suggestion_result.suggest_faq_answers_response:
             for answer in suggestion_result.suggest_faq_answers_response.faq_answers:
-                print('Faq Answer: {}'.format(answer.answer))
-                print('Answer Record: {}'.format(answer.answer_record))
+                print("Faq Answer: {}".format(answer.answer))
+                print("Answer Record: {}".format(answer.answer_record))
         if suggestion_result.suggest_smart_replies_response:
-            for answer in suggestion_result.suggest_smart_replies_response.smart_reply_answers:
-                print('Smart Reply: {}'.format(answer.reply))
-                print('Answer Record: {}'.format(answer.answer_record))
+            for (
+                answer
+            ) in suggestion_result.suggest_smart_replies_response.smart_reply_answers:
+                print("Smart Reply: {}".format(answer.reply))
+                print("Answer Record: {}".format(answer.answer_record))
 
     return response