agoldis/sorry-cypress-api Docker 镜像 - 轩辕镜像

!Update Dockerhub Images

Table of contents

• Features
• Setup
• Demo & example
  • Cloud-based demo
  • Run the demo locally (2 minutes)
• On-premise installation instructions
  • Docker images
  • 🔥new! Heroku
  • 🔥new! Amazon AWS
• Documentation
  • Reconfiguring Cypress
  • Project structure
  • director service
  • api service
  • dashboard service
• Development
• Behind the scenes
• FAQ
• Additional Resources
• License

Features

• run cypress tests in parallel without dashboard
• upload failure screenshots and videos to S3 bucket
• browse test results, failures, screenshots and video recordings
• run in light mode w/o persistency or with MongoDB storage attached
• on-premise self-hosted cypress dashboard - use your own infrastructure, own your data, no limitations

Setup

1. Point Cypress to your service - set [***] as api_url of <cypress-root>/packages/server/config/app.yml
2. Run multiple instances of cypress run --parallel --record --key xxx --ci-build-id <buildId>
3. See the the tests running in parallel 🚀

!Running Cypress test in parallel demo

!Web dashboard prototype

Demo & Example

Cloud-based demo

Visit [***] and see the alpha version of the web dashboard in action.

This demo is a free heroku instance, it takes a minute to spin it up when you first navigate.

You can reconfigure Cypress to use api_url: "[***]", run your tests and see the results appear in the dashboard.

Also *** the example with detailed example of parallelization.

Run the demo locally

1. Run docker-compose -f docker-compose.full.yml up
2. Open the browser at http://localhost:8080/ to see the dashboard

This will start all 3 services on your local machine,

Reconfigure Cypress to use api_url: "http://localhost:1234/",

Run your tests cypress run --parallel --record --key xxx --ci-build-id <buildId> and you will see the results appear in the dashboard. Those cypress tests will in parallel without connecting the official dashboard

You will need to setup S3 to be able to upload failed test screenshots. Replace the credentials in docker-compose.full.yml after you've set up S3 bucket.

On-premise installation instructions

Docker images

Each package has a Dockerfile - use it to build your own images.

Pre-built Docker images are available at [***]

Docker image tag corresponds to the git tag, while latest points to the master git branch.

Refer to docker-compose.full.yml for example.

Heroku

Moved to Wiki - Heroku Tutorial

Amazon AWS

🎉 It takes just 5 minutes to deploy sorry-cypress on AWS using AWS CloudFormation template, you're getting a "full" version of the service with:

• Parallelization
• GraphQL API
• Web Dashboard
• S3 bucket preconfigured for storing screenshots and video recordings
• MongoDB as a persistance layer
• Secure network configuration via AWS VPC
• Pre-configured log groups via AWS Cloudwatch
• Convenient access via AWS Load ***

Read more in Wiki - AWS Tutorial or just hit the button 👇🏻

![Launch Stack]([***]

Documentation

Reconfiguring Cypress

Find cypress installation path

bash
$ DEBUG=cypress:* cypress version

...
# here it is
cypress:cli Reading binary package.json from: /Users/agoldis/Library/Caches/Cypress/3.4.1/Cypress.app/Contents/Resources/app/package.json +0ms
...

In my case it is: /Users/agoldis/Library/Caches/Cypress/3.4.1/Cypress.app/Contents/Resources/app/

Change the default dashboard URL

bash
$ cat /Users/agoldis/Library/Caches/Cypress/3.4.1/Cypress.app/Contents/Resources/app/packages/server/config/app.yml

...
# Replace this with a URL of the alternative dashboard
production:
  # api_url: "[***]"
  api_url: "http://localhost:1234/"
...

Project structure

The repository consists of 3 packages - you can deploy them on your own infrastructure:

• packages/director - is a service that's responsibe for parallelization and saving test results
• packages/api - is a GraphQL server that allows to read test run details and results
• packages/dashboard - is a web dashboard (ReactJS)

director service

The director service is responsible for:

• paralellization and coordination of test runs
• saving tests results
• saving failed tests screenshots

When you launch Cypress on a CI environment with multiple machines, each machine first contacts the dashboard to get the next test to run.

The dashboard coordinates the requests from differents machines and assigns tests to each.

That is what director service does 👆

Starting the service

sh
cd packages/director

npm install
npm run build
npm run start

# ...

Initializing "in-memory" execution driver...
Initializing "dummy" screenshots driver...
Listening on 1234...

By default, the service will start on port 1234 with in-memory execution driver and dummy snapshots driver.

That is what running on [***] - it is a stateless execution, that just parallelizes tests, but does not persist test results and does not uploads screenshots of failed tests.

Configuration

The service uses dotenv package - to change the default configuration, create .env file in service's root to set the default environment variables:

sh
$ pwd
/Users/agoldis/sorry-cypress/packages/director

$ cat .env

PORT=1234

# DASHBOARD_URL is what Cypress client shows as a "Run URL"
DASHBOARD_URL="[***]"

# Read more about execution drivers below
EXECUTION_DRIVER="../execution/in-memory"

# Read more about screenshot drivers below
SCREENSHOTS_DRIVER="../screenshots/dummy.driver"

# Read more about record keys whitelist below
ALLOWED_KEYS="my_secret_key,my_another_secret_key"

Drivers

The director uses "drivers" that define different aspects of its functionality.

Execution driver

...is what drives the execution flow.

There're 2 "execution drivers" implemented:

Stateless

Keeps the state of runs in-memory. That means that restarting the service wipes everything.

That's the simplest and most naive implementation.

If you just want to run the tests in parallel and not worry about storing test results.

MongoDB persisted

The state - test runs and results - are persisted in MongoDB, thus, can be queried and displayed in a dashboard.

To enable this driver, set the envrionment variables:

EXECUTION_DRIVER="../execution/mongo/driver"
MONGODB_URI="monodgb://your-DB-URI"
MONGODB_DATABASE="your-DB-name"

With MongoDB driver you can use the other services - api and dashboard to see the results of your runs.

Snapshots driver

...is what allows you to save the snapshots and videos tests.

It provides the client (Cypress runner) a URL for uploading the assets (videos and screenshots).

Dummy

Is the default driver and it does nothing - snapshots won't be saved.

Set the environment variable to define the screenshots driver.

SCREENSHOTS_DRIVER="../screenshots/dummy.driver"

S3 Driver

The driver generates upload URLs for S3 bucket. Set the environment variables accordingly:

SCREENSHOTS_DRIVER="../screenshots/s3.driver"
S3_BUCKET="your_bucket_name"
S3_REGION="us-east-1"

Please make sure that AWS credentials with proper access to invoke s3.getSignedUrl are available in the environment.

See the wiki page to help setup S3 for uploading screenshots.

Record keys whitelist

Setting ALLOWED_KEYS variable allows you to define list of comma delimited record keys (provided to the Cypress Runner using --key option) which are accepted by the director service. This can be useful when Cypress is running on external CI servers and we need to expose director to the internet.

Empty or not provided variable means that all record keys are allowed.

ALLOWED_KEYS="my_secret_key"

api service

...is a simple GraphQL service, that allows to query the data persisted by MongoDB.

Set environment variables that define MongoDB connection details:

MONGODB_URI='mongodb://mongo:27017'
MONGODB_DATABASE='sorry-cypress'

dashboard service

...is a web dashboard implemented in ReactJS. It is in alpha stage and still very naive - you can explore test details, failures and see screenshots.

In production mode you will need to provide environment variable GRAPHQL_SCHEMA_URL - graphql client will use the URL to download the schema.

Sett environment variable that defines the URL for getting the schema:

GRAPHQL_SCHEMA_URL=[***]

You can explore currently available features at [***]

Development

The project uses yarn workspaces, bootstrap everything by running yarn in the root directory.

Run each package in development mode: yarn dev.

It is recommended to use docker-compose to run the backend services (director and api) and to run the dashboard on host machine.

Using docker-compose for backend services

The project uses docker-compose to conviniently run backend services in dockerized containers.

Run docker-compose build from the project's root directory Run docker-compose up to start the services.

The latter command will create 3 services:

• MongoDB instance on port 27017
• director service on port 1234
• api service on 4000

You can change the configuration using the environment variables defined in docker-compose.yml file.

Behind the scenes

1. Each machine sends the same initial request with:

• specs lists
• machine hardware details
• git commit details
• --ci-build-id and other CLI parameters

2. The director creates or fetches an existing run, based on the parameters and responds with a randomly generated machineId and the allocated runId

3. Each cypress client requests a next available task for the runId which was returned previously

4. The service looks at the list of specs and returns next available test

Original Cypress dashboard implements different "smart" strategies for picking the next test

5. When there're no more available tests for a run, the service sends an "empty" response - client reports that it is finished

FAQ

Why?

I was upset because:

• dashboard crashes and blocks my tests
• parallelization stops working after paid plan has reached its limit

Is it legal?

Yes, Cypress is an open source software.

Is it production-ready?

Yes.

Additional Resources

• Wiki
• The official guide on Cypress parallelization
• Running Multiple Cypress Agents on AWS by mlsad3

License

MIT