Version: v2.0.1
As REQUIRED by the script, several ENV variables (which are handled automatically by github in GithubAction cases) needs to be provided. The best option is to create a .env
file with the following variables (remove comments):
Warning Please avoid use doubled quotes (e.g "example value")
on .env
file, simply provide the value right after the =
sign. As the script might failed
Considering you have your aws cli installed and configured with storage access AWS_ACCESS_KEY_ID
and AWS_SECRET_ACCESS_KEY
does not have to be provided in .env
WORKER_ENV=production
NUTSHELL_MAX_CROP=4000
NUTSHELL_MODE=worker
NUTSHELL_MODEL_SERVING_NAME=exported-barley-protein-v1-22-1-devops
NUTSHELL_WORKER_MODEL_FILE_LOC_ID=1957034
NUTSHELL_WORKER_MODEL_PREDICT_TIMEOUT_S=60
NUTSHELL_MODEL_VERSION=v1.22.1-devops
NUTSHELL_LISTENING_PORT=8080
NUTSHELL_MODEL_PATH=gs://inarix-models/export/XXX
NUTSHELL_MODEL_CONFIG=''
LABEL_TEMPLATE_SLUG=barley_variety_predicted_v7
SHARED_CACHE_PATH=/mnt/filestore
MODEL_TEMPLATE_ID=15
EXPORTED_MODEL_ID=834309eb-e11c-4f2c-82cf-5139072d5eca
LOKI_FILE_LOCATION_ID=1957033
GOOGLE_APPLICATION_CREDENTIALS=/app/client_secrets.json
MODEL_HELM_CHART_VERSION=2.5.1
GITHUB_REPOSITORY=inarix/mt-XX
ARGOCD_ENTRYPOINT=https://argocd.inarix.com/api/v1
ARGOCD_TOKEN=""
The main entrypoint is the cli-compatible bookish.py
You can simply launch a model deployment scenario with the following syntax: make local
As I wanted it to be ran ASAP since this could be used for 🔥🔥 reasons, I used the make argo
SEE CHANGELOG IN CHANGELOG.md