GithubPlugin: Pass config in taskCtx instead of db models (#2192)

* Pass config in taskCtx instead of db models

* prepare migrate script init_schema for the coming PR which append connectionId

* use inject instead of use config.GetConfig in migration script

Co-authored-by: linyh <yanghui@meri.co>
17 files changed
tree: c44150b1ddc1ad7c9d0877745ef4642e3c28bbbe
  1. .github/
  2. api/
  3. config/
  4. config-ui/
  5. deployment/
  6. devops/
  7. e2e/
  8. errors/
  9. generator/
  10. grafana/
  11. helpers/
  12. img/
  13. impl/
  14. logger/
  15. migration/
  16. models/
  17. plugins/
  18. releases/
  19. runner/
  20. scripts/
  21. services/
  22. test/
  23. utils/
  24. version/
  25. worker/
  26. .asf.yaml
  27. .editorconfig
  28. .env.example
  29. .gitignore
  30. .golangci-goheader.template
  31. .golangci.yaml
  32. .rat-excludes
  33. DISCLAIMER
  34. docker-compose-temporal.yml
  35. docker-compose.yml
  36. Dockerfile
  37. go.mod
  38. go.sum
  39. k8s-deploy.yaml
  40. LICENSE
  41. main.go
  42. Makefile
  43. NOTICE
  44. 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 distill insights for engineering productivity.

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.

Demo

See demo. The data in the demo comes from this repo.

What can be accomplished with Apache DevLake?

  1. Collect DevOps data across the entire Software Development Life Cycle (SDLC) and connect the siloed data with a standard data model.
  2. Provide out-of-the-box engineering metrics to be visualized in a sereis of dashboards.
  3. Allow a flexible framework for data collection ad ETL to support customizable data analysis.

Supported Data Sources

Data SourceDomainVersions
FeishuDocumentationCloud
GitHubSource Code Management, Code Review, Issue/Task ManagementCloud
GitlabSource Code Management, Code Review, Issue/Task ManagementCloud, Community Edition 13.x+
JenkinsCI/CD2.263.x+
JiraIssue/Task ManagementCloud, Server 8.x+, Data Center 8.x+
TAPDIssue/Task ManagementCloud

Quick Start

Project Roadmap

  • Roadmap 2022: Detailed project roadmaps for 2022.
  • Supported engineering metrics: provide rich perspectives to observe and analyze SDLC.

How to Contribute

This section lists all the documents to help you contribute to the repo.

Community

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License

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