synesthesiam / rhasspy

Rhasspy voice assistant for offline home automation
https://rhasspy.readthedocs.io
MIT License
942 stars 101 forks source link

Docker CLI works but not Docker-compose #197

Closed DavidCarpus closed 4 years ago

DavidCarpus commented 4 years ago

Following instructions for running docker image direct from CLI works. When I try to run via docker-compose I get errors logged and no intents.

INFO:quart.serving:172.21.0.1:49728 GET /api/events/log 1.1 101 - 3048002
ERROR:PocketsphinxDecoder:transcribing wav
Traceback (most recent call last):
  File "/usr/share/rhasspy/rhasspy/stt.py", line 107, in in_loaded
        self.load_decoder()
          File "/usr/share/rhasspy/rhasspy/stt.py", line 179, in load_decoder
        self.decoder = pocketsphinx.Decoder(decoder_config)
          File "/usr/local/lib/python3.6/dist-packages/pocketsphinx/pocketsphinx.py", line 273, in __init__
        this = _pocketsphinx.new_Decoder(*args)
        RuntimeError: new_Decoder returned -1
DEBUG:InboxActor: -> stopped
DEBUG:__main__:
ERROR:FsticuffsRecognizer:in_loaded
Traceback (most recent call last):
  File "/usr/share/rhasspy/rhasspy/intent.py", line 166, in in_loaded
        self.load_graph()
          File "/usr/share/rhasspy/rhasspy/intent.py", line 211, in load_graph
        with open(graph_path, "r") as graph_file:
        FileNotFoundError: [Errno 2] No such file or directory: 'profiles/en/intent.json'
DEBUG:InboxActor: -> stopped
DEBUG:__main__:{"text": "", "intent": {"name": "", "confidence": 0}, "entities": [], "raw_text": "", "speech_confidence": 1, "slots": {}, "wakeId": "", "siteId": "default", "time_sec": 1.1776001453399658}

System Info:

$ uname -a
Linux dcarpus-Precision-M4800 5.3.0-42-generic #34~18.04.1-Ubuntu SMP Fri Feb 28 13:42:26 UTC 2020 x86_64 x86_64 x86_64 GNU/Linux
$ cat /etc/issue
Ubuntu 18.04.4 LTS \n \l
$ docker --version
Docker version 19.03.8, build afacb8b7f0
DavidCarpus commented 4 years ago

Not surprisingly, spend a solid day trying to figure this out and within 5 minutes of posting here I realize I forgot to 'train' the instance running via docker-compose. Maybe a few items in the docs with 'getting this error' -> 'try this fix' might be helpful?