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Vercel
Vercel’s AI Cloud is a unified platform for building modern applications, giving teams the tools to be flexible, move fast, and stay secure while focusing on their products instead of infrastructure.
Deploy
Get started by importing a project, choosing a template, or using the Vercel CLI. Then, git push to deploy.
Documentation
For details on how to use Vercel, check out our documentation.
Contributing
This project uses pnpm to install dependencies and run scripts.
You can use the vercel script to run local changes as if you were invoking Vercel CLI. For example, vercel deploy --cwd=/path/to/project could be run with local changes with pnpm vercel deploy --cwd=/path/to/project.
When contributing to this repository, please first discuss the change you wish to make via Vercel Community with the owners of this repository before submitting a Pull Request.
Please read our Code of Conduct and follow it in all your interactions with the project.
Local development
This project is configured in a monorepo, where one repository contains multiple npm packages. Dependencies are installed and managed with pnpm, not npm CLI.
To get started, execute the following:
git clone https://github.com/vercel/vercel
cd vercel
corepack enable
pnpm install
pnpm build
pnpm lint
pnpm test-unit
Make sure all the tests pass before making changes.
Running Vercel CLI Changes
You can use pnpm vercel from the cli package to invoke Vercel CLI with local changes:
cd ./packages/cli
pnpm vercel <cli-commands...>
See CLI Local Development for more details.
Verifying your change
Once you are done with your changes (we even suggest doing it along the way), make sure all the tests still pass by running:
pnpm test-unit
from the root of the project.
If any test fails, make sure to fix it along with your changes. See Interpreting test errors for more information about how the tests are executed, especially the integration tests.
Pull Request Process
Once you are confident that your changes work properly, open a pull request on the main repository.
The pull request will be reviewed by the maintainers and the tests will be checked by our continuous integration platform.
Interpreting test errors
There are 2 kinds of tests in this repository – Unit tests and Integration tests.
Unit tests are run locally with jest and execute quickly because they are testing the smallest units of code.
Integration tests
Integration tests create deployments to your Vercel account using the test project name. After each test is deployed, the probes key is used to check if the response is the expected value. If the value doesn't match, you'll see a message explaining the difference. If the deployment failed to build, you'll see a more generic message like the following:
[Error: Fetched page https://test-8ashcdlew.vercel.app/root.js does not contain hello Root!. Instead it contains An error occurred with this application.
NO_STATUS_CODE_FRO Response headers:
cache-control=s-maxage=0
connection=close
content-type=text/plain; charset=utf-8
date=Wed, 19 Jun 2019 18:01:37 GMT
server=now
strict-transport-security=max-age=63072000
transfer-encoding=chunked
x-now-id=iad1:hgtzj-1560967297876-44ae12559f95
x-now-trace=iad1]
In such cases, you can visit the URL of the failed deployment and append /_logs to see the build error. In the case above, that would be https://test-8ashcdlew.vercel.app/_logs
The logs of this deployment will contain the actual error which may help you to understand what went wrong.
Running integration tests locally
While running the full integration suite locally is not recommended, it's sometimes useful to isolate a failing test by running it on your machine. To do so, you'll need to ensure you have the appropriate credentials sourced in your shell: