Skip to content

Latest commit

 

History

History
113 lines (82 loc) · 4.06 KB

BUILD.md

File metadata and controls

113 lines (82 loc) · 4.06 KB

Hyperledger Cactus SDK Build Instructions

This is the place to start if you want to give Cactus a spin on your local machine or if you are planning on contributing.

This is not a guide for using Cactus for your projects that have business logic but rather a guide for people who want to make changes to the code of Cactus. If you are just planning on using Cactus as an npm dependency for your project, then you might not need this guide at all.

The project uses Typescript for both back-end and front-end components.

Getting Started

  • Install OS level dependencies:

    • Windows Only
      • WSL1 or WSL2 or any virtual machine running Ubuntu LTS
    • Git
    • NodeJS 12 or newer LTS (we recommend using nvm if available for your OS)
    • OpenJDK 11
    • Docker Engine
    • Docker Compose
  • Clone the repository

git clone https://github.com/hyperledger/cactus.git

Windows specific gotcha: File paths too long error when cloning. To fix: Open PowerShell with administrative rights and then run the following:

git config --system core.longpaths true
  • Change directories to the project root
cd cactus
  • Run the CI script (takes a long time, 10+ minutes on an average laptop)
./tools/ci.sh

At this point you should have all packages built and verified with the full test suite including unit and integration tests that leverage docker containers to run ledgers, contract deployments, etc.

You can start making your changes (use your own fork and a feature branch) or just run existing tests and debug them to see how things fit together.

For example you can run a ledger contract deployment test via the REST API with this command:

npx tap --timeout=600 packages/cactus-test-plugin-ledger-connector-quorum/src/test/typescript/integration/plugin-ledger-connector-quorum/deploy-contract/deploy-contract-via-web-service.ts

You can also start the API server and verify more complex scenarios with an arbitrary list of plugins loaded into Cactus. This is useful for when you intend to develop your plugin either as a Cactus maintained plugin or one on your own.

npm run generate-api-server-config

Notice how this task created a .config.json file in the project root with an example configuration that can be used a good starting point for you to make changes to it specific to your needs or wants.

The most interesting part of the .config.json file is the plugins array which takes a list of plugin package names and their options (which can be anything that you can fit into a generic JSON object).

Notice that to include a plugin, all you need is specify it's npm package name (and ensure that said package is actually installed). This is important since it allows you to have your own plugins in their respective, independent Github repositories and npm packages where you do not have to seek explicit approval from the Cactus maintainers to create/maintain your plugin at all.

Once you are satisfied with the .config.json file's contents you can just:

npm run start:api-server

After starting the API server, you will see in the logs that plugins were loaded and that the API is reachable on the port you specified (4000 by default) and the Web UI (Cockpit) is reachable through port on the port your config specified (3000 by default).

You may need to enable manually the CORS patterns in the configuration file. This may be slightly inconvenient, but something we are unable to compromise on despite valuing developer experience very much. We have decided that the software should be secure by default above all else and allow for customization/degradation of security as an opt-in feature rather than starting from that state.

At this point, with the running API server, you can

  • Test the REST API directly with tools like cURL or Postman
  • Develop your own applications against it with the Cactus SDK
  • Create and test your own plugins

Random Windows specific issues not covered here

We recommend you use WSL or WSL2 or any Linux VM. We test most frequently on Ubuntu LTS which at the time of this writing means 18.04 and/or 20.04.