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Update zapier.mdx #2509

Update zapier.mdx

Update zapier.mdx #2509

Workflow file for this run

name: Run tests and pre-commit
# Run this job on pushes to `main`, and for pull requests. If you don't specify
# `branches: [main], then this actions runs _twice_ on pull requests, which is
# annoying.
on:
workflow_call:
pull_request:
push:
branches: [main]
jobs:
test:
runs-on: ubuntu-latest
# Service containers to run with `container-job`
services:
# Label used to access the service container
postgres:
# Docker Hub image
image: postgres
# Provide the password for postgres
env:
POSTGRES_USER: skyvern
POSTGRES_DATABASE: skyvern
POSTGRES_HOST_AUTH_METHOD: trust
# Set health checks to wait until postgres has started
options: >-
--health-cmd pg_isready
--health-interval 10s
--health-timeout 5s
--health-retries 5
ports:
# Maps tcp port 5432 on service container to the host
- 5432:5432
steps:
- uses: actions/checkout@v3
# If you wanted to use multiple Python versions, you'd have specify a matrix in the job and
# reference the matrixe python version here.
- uses: actions/setup-python@v4
with:
python-version: "3.11"
# Cache the installation of Poetry itself, e.g. the next step. This prevents the workflow
# from installing Poetry every time, which can be slow. Note the use of the Poetry version
# number in the cache key, and the "-0" suffix: this allows you to invalidate the cache
# manually if/when you want to upgrade Poetry, or if something goes wrong. This could be
# mildly cleaner by using an environment variable, but I don't really care.
- name: cache poetry install
uses: actions/cache@v3
with:
path: ~/.local
key: poetry-1.7.1
# Install Poetry. You could do this manually, or there are several actions that do this.
# `snok/install-poetry` seems to be minimal yet complete, and really just calls out to
# Poetry's default install script, which feels correct. I pin the Poetry version here
# because Poetry does occasionally change APIs between versions and I don't want my
# actions to break if it does.
#
# The key configuration value here is `virtualenvs-in-project: true`: this creates the
# venv as a `.venv` in your testing directory, which allows the next step to easily
# cache it.
- uses: snok/install-poetry@v1
with:
version: 1.7.1
virtualenvs-create: true
virtualenvs-in-project: true
# Cache your dependencies (i.e. all the stuff in your `pyproject.toml`). Note the cache
# key: if you're using multiple Python versions, or multiple OSes, you'd need to include
# them in the cache key. I'm not, so it can be simple and just depend on the poetry.lock.
- name: cache deps
id: cache-deps
uses: actions/cache@v3
with:
path: .venv
key: pydeps-${{ hashFiles('**/poetry.lock') }}
# Install dependencies. `--no-root` means "install all dependencies but not the project
# itself", which is what you want to avoid caching _your_ code. The `if` statement
# ensures this only runs on a cache miss.
- run: poetry install --no-interaction --no-root
if: steps.cache-deps.outputs.cache-hit != 'true'
# Now install _your_ project. This isn't necessary for many types of projects -- particularly
# things like Django apps don't need this. But it's a good idea since it fully-exercises the
# pyproject.toml and makes that if you add things like console-scripts at some point that
# they'll be installed and working.
- run: poetry install --no-interaction
# Finally, run pre-commit.
- uses: pre-commit/[email protected]
fe-lint-build:
runs-on: ubuntu-latest
defaults:
run:
working-directory: ./skyvern-frontend
steps:
- name: Check out Git repository
uses: actions/checkout@v4
- name: Set up Node.js
uses: actions/setup-node@v4
with:
node-version: 20
- name: Install Node.js dependencies
run: npm ci
- name: Run linter
run: npm run lint
- name: Run build
run: npm run build