feat: add cloudflare accountId option to the generator schema (#14) #28
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name: CI | |
on: | |
push: | |
branches: | |
- main | |
pull_request: {} | |
concurrency: | |
# Group concurrency on workflow, then: | |
# - Is merge run? Group on branch name (`refs/heads/main`) | |
# - Is pull request? Group on pull request branch name, for example `feat/add-awesome-feature` | |
group: >- | |
${{ github.workflow }}-${{ | |
github.event_name == 'push' | |
&& github.ref | |
|| github.head_ref | |
}} | |
# Run merge workflows in sequence to prevent parallel deployments and releases | |
# Cancel stale pull request runs in progress for the same branch | |
cancel-in-progress: ${{ github.event_name != 'push' }} | |
env: | |
NODE_OPTIONS: --max-old-space-size=6144 | |
jobs: | |
# We're using Nx Cloud for Distributed Task Execution | |
# Reference: https://nx.dev/using-nx/dte | |
# | |
# The coordinator outputs the combination of task outputs from the agents, | |
# both terminal and file outputs | |
dte_coordinator: | |
name: DTE Coordinator | |
uses: nrwl/ci/.github/workflows/[email protected] | |
secrets: | |
NX_CLOUD_ACCESS_TOKEN: ${{ secrets.NX_CLOUD_ACCESS_TOKEN }} | |
permissions: | |
contents: read | |
actions: read | |
with: | |
main-branch-name: main | |
# Must match dte_agents.number-of-agents | |
number-of-agents: 4 | |
# The --stop-agents-after parameter must match the task target listed last | |
# in the parallel-commands-on-agents command list | |
# The --agent-count parameter must match the number-of-agents parameter | |
init-commands: | | |
yarn nx-cloud start-ci-run --stop-agents-after="e2e" --agent-count=4 | |
# Commands run in parallel on this DTE coordinator | |
parallel-commands: | | |
yarn nx-cloud record -- yarn nx format:check | |
# Commands distributed between DTE agents | |
# Distribution strategy for 2 vCPUs per hosted runner (GitHub Free): | |
# lint: 2 tasks assigned at a time, 1 task per vCPU | |
# test: 1 task assigned at a time with 2 parallel processes, 1 process per vCPU | |
# build: 2 tasks assigned at a time, 1 task per vCPU | |
# e2e: 1 task assigned at a time, 1 task total | |
parallel-commands-on-agents: | | |
yarn nx run-many --all --target=lint --configuration=report --parallel=2 --max-warnings=0 | |
yarn nx run-many --all --target=test --configuration=coverage --parallel=1 --max-workers=2 | |
yarn nx affected --target=build --parallel=2 | |
yarn nx affected --target=e2e --parallel=1 | |
# Commands run sequentially on this DTE coordinator after parallel jobs | |
# final-commands: | | |
# We're using Nx Cloud for Distributed Task Execution | |
# Reference: https://nx.dev/using-nx/dte | |
# | |
# Agents receive tasks to execute in bulk whenever they are ready or have | |
# finished their previous tasks | |
dte_agents: | |
name: DTE Agents | |
uses: nrwl/ci/.github/workflows/[email protected] | |
secrets: | |
NX_CLOUD_ACCESS_TOKEN: ${{ secrets.NX_CLOUD_ACCESS_TOKEN }} | |
permissions: | |
contents: read | |
actions: read | |
with: | |
# The Free GitHub plan has a limit of 20 concurrent jobs on Ubuntu images | |
# Reference: https://docs.github.com/en/actions/learn-github-actions/usage-limits-billing-and-administration | |
# If we need to, we can optimize for 2 simultaneous workflow runs: | |
# 2 x 1 main job = 2 concurrent jobs | |
# 2 x 9 agent jobs = 18 concurrent jobs | |
# Total = 20 concurrent jobs | |
# | |
# However, we don't have many projects or targets in this workspace, so we | |
# lower the number of agents to reduce spent compute time. | |
number-of-agents: 4 |