Workflow store points to model store in docker container

[agunapal]

🐛 Describe the bug

On loading the docker image, I see that the workflow store is pointing to model_store instead of wf_store

Error logs

docker run --rm -it -p 127.0.0.1:8080:8080 -p 127.0.0.1:8081:8081 -p 127.0.0.1:8082:8082 -v $(pwd)/wf_store:/home/model-server/wf-store -v $(pwd)/model_store:/home/model-server/model-store pytorch/torchserve:latest-cpu
Unable to find image 'pytorch/torchserve:latest-cpu' locally
latest-cpu: Pulling from pytorch/torchserve
edaedc954fb5: Pull complete 
c9d9b88802cc: Pull complete 
d5afda4d2e5c: Pull complete 
ce8cdd9a8987: Pull complete 
8cd86b878314: Pull complete 
d3fa9c22238a: Pull complete 
086f768fc1c4: Pull complete 
aea4c999a5d1: Pull complete 
4f4fb700ef54: Pull complete 
Digest: sha256:eac4deea2e237db904d67175a7b3e075d4e110a83b23a249679093ea32017d2d
Status: Downloaded newer image for pytorch/torchserve:latest-cpu
WARNING: sun.reflect.Reflection.getCallerClass is not supported. This will impact performance.
2023-11-14T19:04:42,884 [WARN ] main org.pytorch.serve.util.ConfigManager - Your torchserve instance can access any URL to load models. When deploying to production, make sure to limit the set of allowed_urls in config.properties
2023-11-14T19:04:42,886 [INFO ] main org.pytorch.serve.servingsdk.impl.PluginsManager - Initializing plugins manager...
2023-11-14T19:04:42,947 [INFO ] main org.pytorch.serve.metrics.configuration.MetricConfiguration - Successfully loaded metrics configuration from /home/venv/lib/python3.9/site-packages/ts/configs/metrics.yaml
2023-11-14T19:04:43,047 [INFO ] main org.pytorch.serve.ModelServer - 
Torchserve version: 0.9.0
TS Home: /home/venv/lib/python3.9/site-packages
Current directory: /home/model-server
Temp directory: /home/model-server/tmp
Metrics config path: /home/venv/lib/python3.9/site-packages/ts/configs/metrics.yaml
Number of GPUs: 0
Number of CPUs: 8
Max heap size: 7936 M
Python executable: /home/venv/bin/python
Config file: /home/model-server/config.properties
Inference address: http://0.0.0.0:8080
Management address: http://0.0.0.0:8081
Metrics address: http://0.0.0.0:8082
Model Store: /home/model-server/model-store
Initial Models: N/A
Log dir: /home/model-server/logs
Metrics dir: /home/model-server/logs
Netty threads: 32
Netty client threads: 0
Default workers per model: 8
Blacklist Regex: N/A
Maximum Response Size: 6553500
Maximum Request Size: 6553500
Limit Maximum Image Pixels: true
Prefer direct buffer: false
Allowed Urls: [file://.*|http(s)?://.*]
Custom python dependency for model allowed: false
Enable metrics API: true
Metrics mode: log
Disable system metrics: false
**Workflow Store: /home/model-server/model-store**

Installation instructions

Docker 0.9.0

Model Packaing

NA

config.properties

No response

Versions

0.9.0

Repro instructions

Command in logs above

Possible Solution

Place the .war file in model_store