I am trying to run Rasa x . My project contains custom actions and so I tried to run the action server by typing ‘rasa run actions’ in one terminal and ‘rasa x’ in the other. But the actions do not run and only intent name is shown.
The output of action server terminal:
(installingrasa) C:\Users\dasba\Desktop\intr>rasa run actions
2020-07-23 00:50:30 INFO rasa_sdk.endpoint - Starting action endpoint server...
2020-07-23 00:50:30 INFO rasa_sdk.executor - Registered function for 'action_find_info'.
2020-07-23 00:50:30 INFO rasa_sdk.endpoint - Action endpoint is up and running on http://localhost:5055
The Output of rasa x terminal:
(installingrasa) C:\Users\dasba\Desktop\intr>rasa x
Starting Rasa X in local mode... 🚀
2020-07-23 00:51:13 ERROR concurrent.futures - exception calling callback for <Future at 0x24870dd7388 state=finished raised gaierror>
Traceback (most recent call last):
File "c:\users\dasba\anaconda3\envs\installingrasa\lib\concurrent\futures\thread.py", line 57, in run
result = self.fn(*self.args, **self.kwargs)
File "c:\users\dasba\anaconda3\envs\installingrasa\lib\socket.py", line 752, in getaddrinfo
for res in _socket.getaddrinfo(host, port, family, type, proto, flags):
socket.gaierror: [Errno 11001] getaddrinfo failed
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "c:\users\dasba\anaconda3\envs\installingrasa\lib\concurrent\futures\_base.py", line 324, in _invoke_callbacks
callback(self)
File "c:\users\dasba\anaconda3\envs\installingrasa\lib\asyncio\futures.py", line 365, in _call_set_state
dest_loop.call_soon_threadsafe(_set_state, destination, source)
File "c:\users\dasba\anaconda3\envs\installingrasa\lib\asyncio\base_events.py", line 736, in call_soon_threadsafe
self._check_closed()
File "c:\users\dasba\anaconda3\envs\installingrasa\lib\asyncio\base_events.py", line 479, in _check_closed
raise RuntimeError('Event loop is closed')
RuntimeError: Event loop is closed
2020-07-23 00:51:13 ERROR concurrent.futures - exception calling callback for <Future at 0x24870dc7e48 state=finished returned list>
Traceback (most recent call last):
File "c:\users\dasba\anaconda3\envs\installingrasa\lib\concurrent\futures\_base.py", line 324, in _invoke_callbacks
callback(self)
File "c:\users\dasba\anaconda3\envs\installingrasa\lib\asyncio\futures.py", line 365, in _call_set_state
dest_loop.call_soon_threadsafe(_set_state, destination, source)
File "c:\users\dasba\anaconda3\envs\installingrasa\lib\asyncio\base_events.py", line 736, in call_soon_threadsafe
self._check_closed()
File "c:\users\dasba\anaconda3\envs\installingrasa\lib\asyncio\base_events.py", line 479, in _check_closed
raise RuntimeError('Event loop is closed')
RuntimeError: Event loop is closed
The server is running at http://localhost:5002/login?username=me&password=LrOvlJr48UlO
2020-07-23 00:51:19 WARNING sanic.root - Sanic tried to use loop.add_signal_handler but it is not implemented on this platform.
2020-07-23 00:51:19 WARNING sanic.root - Sanic tried to use loop.add_signal_handler but it is not implemented on this platform.
2020-07-23 00:51:31 ERROR asyncio - Task was destroyed but it is pending!
task: <Task pending coro=<TCPConnector._resolve_host() running at c:\users\dasba\anaconda3\envs\installingrasa\lib\site-packages\aiohttp\connector.py:830> wait_for=<Future pending cb=[_chain_future.<locals>._call_check_cancel() at c:\users\dasba\anaconda3\envs\installingrasa\lib\asyncio\futures.py:351, <TaskWakeupMethWrapper object at 0x0000024870DEBAC8>()]>>
2020-07-23 00:51:31 ERROR asyncio - Task was destroyed but it is pending!
task: <Task pending coro=<TCPConnector._resolve_host() running at c:\users\dasba\anaconda3\envs\installingrasa\lib\site-packages\aiohttp\connector.py:830> wait_for=<Future pending cb=[_chain_future.<locals>._call_check_cancel() at c:\users\dasba\anaconda3\envs\installingrasa\lib\asyncio\futures.py:351, <TaskWakeupMethWrapper object at 0x0000024870DEBDC8>()]>>
c:\users\dasba\anaconda3\envs\installingrasa\lib\site-packages\sklearn\externals\joblib\__init__.py:15: FutureWarning: sklearn.externals.joblib is deprecated in 0.21 and will be removed in 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib. If this warning is raised when loading pickled models, you may need to re-serialize those models with scikit-learn 0.21+.
warnings.warn(msg, category=FutureWarning)
c:\users\dasba\anaconda3\envs\installingrasa\lib\site-packages\rasa\nlu\classifiers\diet_classifier.py:918: FutureWarning: 'EmbeddingIntentClassifier' is deprecated and will be removed in version 2.0. Use 'DIETClassifier' instead.
model=model,
c:\users\dasba\anaconda3\envs\installingrasa\lib\site-packages\rasa\core\policies\keras_policy.py:265: FutureWarning: 'KerasPolicy' is deprecated and will be removed in version 2.0. Use 'TEDPolicy' instead.
current_epoch=meta["epochs"],
WARNING:rasax.community.services.event_consumers.event_consumer:Saving event failed due to an 'IntegrityError'. This means that the event is already stored in the database. The event data was '{"sender_id": "f61b7473779a4d6ea9e86251a32dd928", "event": "action", "timestamp": 1595445708.2457628, "name": "action_listen", "policy": null, "confidence": null}'. (sqlite3.IntegrityError) UNIQUE constraint failed: conversation_event.conversation_id, conversation_event.timestamp, conversation_event.type_name
[SQL: INSERT INTO conversation_event (conversation_id, type_name, timestamp, intent_name, action_name, slot_name, slot_value, policy, is_flagged, data, evaluation, rasa_environment) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)]
[parameters: ('f61b7473779a4d6ea9e86251a32dd928', 'action', 1595445708.2457628, None, 'action_listen', None, None, None, 0, '{"sender_id": "f61b7473779a4d6ea9e86251a32dd928", "event": "action", "timestamp": 1595445708.2457628, "name": "action_listen", "policy": null, "confidence": null}', None, 'production')]
(Background on this error at: http://sqlalche.me/e/13/gkpj)
I am attaching my files. Please Help !! actions.py (2.4 KB) claims.db (12 KB) config.yml (280 Bytes) credentials.yml (938 Bytes) domain.yml (1.4 KB) endpoints.yml (1.5 KB) entitlements.db (24 KB) nlu.md (1.7 KB) stories.md (856 Bytes)