feat(config-ui): about the new design of transformation (#4741)

* feat(config-ui): updated the jsx react to react-jsx

* refactor(config-ui): remove content about transformation

* refactor(config-ui): enhance the feature of the table component

* fix(config-ui): github transformation form missed default value

* fix(config-ui): the datasource judgment error in the table component

* feat(config-ui): add new component workflow

* refactor(config-ui): the transformation in plugins

* feat(config-ui): add plugin component transformation-select

* feat(config-ui): add global type MixConnection

* refactor(config-ui): the plugin transformation rename to transformation-form

* feat(config-ui): new plugin tranformation

* chore(config-ui): remove plugin data scope list

* refactor(config-ui): the plugin data-scope rename to data-scope-form

* feat(config-ui): new plugin data-scope

* refactor(config-ui): the plugin other content

* fix(config-ui): adjust the transformation form

* fix(config-ui): adjust the data scope form

* fix(config-ui): missed initial value in data scope form

* feat(config-ui): add new prop noFooter in transformation

* feat(config-ui): add new page bp-connection-add and bp-connection-detail

* refactor(config-ui): the bp create page

* refactor(config-ui): adjust the bp detail page

* refactor(config-ui): adjust the props for transformation

* refactor(config-ui): the plugin data-scope-form

* refactor(config-ui): adjust the props for data-scope

* refactor(config-ui): adjust the props for dialog

* feat(config-ui): add new page about project connection

* refactor(config-ui): adjust the style for github and gitlab data-scope

* refactor(config-ui): the data-scope-form

* fix(config-ui): the origin error in transformation

* refactor(config-ui): adjust the style for data-scope

* feat(config-ui): add props from in bp connection page

* fix(config-ui): type defined error

* fix(config-ui): some bugs for new transformation and data-scope
97 files changed
tree: 99b50309ff56fcb4f0999d7f985e7737a275d42a
  1. .github/
  2. backend/
  3. config-ui/
  4. devops/
  5. grafana/
  6. resources/
  7. .asf.yaml
  8. .dockerignore
  9. .editorconfig
  10. .env.example
  11. .gitignore
  12. .licenserc.yaml
  13. DISCLAIMER
  14. docker-compose.datasources.yml
  15. docker-compose.yml
  16. LICENSE
  17. Makefile
  18. NOTICE
  19. README.md
README.md

Apache DevLake(Incubating)

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🤔 What is Apache DevLake?

Apache DevLake is an open-source dev data platform that ingests, analyzes, and visualizes the fragmented data from DevOps tools to extract insights for engineering excellence, developer experience, and community growth.

Apache DevLake is designed for developer teams looking to make better sense of their development process and to bring a more data-driven approach to their own practices. You can ask Apache DevLake many questions regarding your development process. Just connect and query.

🎯 What can be accomplished with Apache DevLake?

  1. Your Dev Data lives in many silos and tools. DevLake brings them all together to give you a complete view of your Software Development Life Cycle (SDLC).
  2. From DORA to scrum retros, DevLake implements metrics effortlessly with prebuilt dashboards supporting common frameworks and goals.
  3. DevLake fits teams of all shapes and sizes, and can be readily extended to support new data sources, metrics, and dashboards, with a flexible framework for data collection and transformation.

👉 Live Demo

DORA Dashboard

All Dashboards

💪 Supported Data Sources

Here you can find all data sources supported by DevLake, their scopes, supported versions and more!

🚀 Getting Started

🤓 How do I use DevLake?

1. Set up DevLake

You can set up Apache DevLake by following our step-by-step instructions for Install via Docker Compose or Install via Helm. Please see detailed instructions here, and ask the community if you get stuck at any point.

2. Create a Blueprint

The DevLake Configuration UI will guide you through the process (a Blueprint) to define the data connections, data scope, transformation and sync frequency of the data you wish to collect.

3. Track the Blueprint's progress

You can track the progress of the Blueprint you have just set up.

4. View the pre-built dashboards

Once the first run of the Blueprint is completed, you can view the corresponding dashboards.

5. Customize the dashboards with SQL

If the pre-built dashboards are limited for your use cases, you can always customize or create your own metrics or dashboards with SQL.

😍 How to Contribute

Please read the contribution guidelines before you make contribution. The following docs list the resources you might need to know after you decided to make contribution.

📄 Contributing to Documentation:

⌚ Roadmap

  • Roadmap: Detailed roadmaps for DevLake.

💙 Community

  • Slack: Message us on Slack
  • Wechat Community:

📄 License

This project is licensed under Apache License 2.0 - see the LICENSE file for details.