Issue with versions?

[ppfearn]

I've been trying to get this working but I receive a strange error on startup:
Top line(s):
deepspeech-server | Exception in callback None()
deepspeech-server | handle: <Handle cancelled>
deepspeech-server | Traceback (most recent call last):
deepspeech-server | File "/usr/local/lib/python3.7/asyncio/events.py", line 88, in _run

Final line:
deepspeech-server | AttributeError: 'x' object has no attribute 'lm_alpha'

I noticed that it's been a while since the last update and I can see that the latest python is being pulled. Is there a possible issue with versions?

[MainRo]

if you re-generated the docker image recently, then it uses the latest release of deepspeech-server, where some fields of the configuration file have been renamed to match the ones used in the deepspeech API.
typically lm_alpha replaced lm_weight. Do you use a configuration file from deepspeech-server v1.0.0 or below ?

[MainRo]

btw to avoid such issues, I should version this repo based on a fixed version of deepspeech and deepspeech-server.

[ppfearn]

if you re-generated the docker image recently, then it uses the latest release of deepspeech-server, where some fields of the configuration file have been renamed to match the ones used in the deepspeech API.
typically lm_alpha replaced lm_weight. Do you use a configuration file from deepspeech-server v1.0.0 or below ?

I haven't gotten that far yet as it errors before any config issue. I have managed to run the deepspeech server manually (a while ago) by installing the whole thing myself, so I was just going to use that config (after figuring out how to put it into docker-compose.yaml). That config looks like the following:

{
"deepspeech": {
"model" :"models/output_graph.pb",
"alphabet": "models/alphabet.txt",
"lm": "models/lm.binary",
"trie": "models/trie",
"features": {
"n_features": 26,
"n_context": 9,
"beam_width": 500,
"lm_weight": 1.5,
"vwc_weight": 2.25
}
},
"server": {
"http": {
"host": "0.0.0.0",
"port": 8080,
"request_max_size": 1048576
}
},
"log": {
"level": [
{ "logger": "deepspeech_server", "level": "DEBUG"}
]
}
}

My current docker compose yaml will get the latest version it can. It looks like the following:

version: "2"
services:
deepspeech_server:
container_name: deepspeech-server
build: ./deepspeech_server
ports:
- "8585:8080"
volumes:
- /home/dev/Documents/DeepSpeech:/opt/deepspeech

(sorry for the terrible indenting, I couldn't get it to be code and on separate lines)

btw to avoid such issues, I should version this repo based on a fixed version of deepspeech and deepspeech-server.

Which versions should I use in your opinion? This whole process is about trying to get something that's easier to handle as deepspeech does appear to move at a relatively quick pace. If I can get it handled in docker, I'm hoping that I can check versions easily, but always know that I can use a fallback set of versions if it doesn't work.

Thanks. All help is appreciated with this