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use default dvclive plots (#282) #19

use default dvclive plots (#282)

use default dvclive plots (#282) #19

name: example-get-started deploy
on:
push:
paths:
- example-get-started/**
branches:
- master
workflow_dispatch:
permissions: write-all
jobs:
test:
runs-on: ubuntu-latest
environment: aws
steps:
- name: Checkout repo
uses: actions/checkout@v3
- name: Set up Python
uses: actions/setup-python@v4
with:
python-version: '3.11'
cache: 'pip'
- uses: aws-actions/configure-aws-credentials@v2
with:
aws-region: us-east-2
role-to-assume: ${{ vars.AWS_SANDBOX_ROLE }}
role-duration-seconds: 43200
- uses: iterative/setup-dvc@v1
- name: Generate repo
run: |
pip install virtualenv
cd example-get-started
./generate.sh prod
- name: Deploy repo
env:
GH_TOKEN: ${{ secrets.PERSONAL_ACCESS_TOKEN }}
run: |
cd example-get-started/build/example-get-started
. .venv/bin/activate
# add remote
git remote add origin https://${{ secrets.PERSONAL_ACCESS_TOKEN }}@github.com/iterative/example-get-started.git
# close open PRs
gh pr close try-large-dataset
gh pr close tune-hyperparams
# drop existing refs
git ls-remote origin | awk '{print $2}' | xargs -n 1 git push --delete origin || true
# force push branches
git push --force origin main
git push --force origin try-large-dataset
git push --force origin tune-hyperparams
# we push git tags one by one for Studio to receive webhooks:
git tag --sort=creatordate | xargs -n 1 git push --force origin
# push exp refs
dvc exp push origin -A
# create PRs
gh pr create -t "Try 40K dataset (4x data)" \
-b "We are trying here a large dataset, since the smaller one looks unstable" \
-B main -H try-large-dataset
gh pr create -t "Run experiments tuning random forest params" \
-b "Better RF split and number of estimators based on small grid search." \
-B main -H tune-hyperparams