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@codefresh-io/pipeline-autobot
Advanced tools
Component for analyze github repository use github statistic API and generate codefresh steps according repo info.
Examples how use repo analyzer
Run test.js with envs
PASSWORD=****2
REPO_OWNER=codefresh-io
REPO_NAME=pipeline-manager
GIT_CONTEXT=github
https://codefresh-io.github.io/cli/analyzer/
analyzer
.step(clone)
.step(build)
.step(push)
.step(packageJson)
.header(stages)
.enrich(stagesEnricher)
.transform(codefreshYaml)
.resolve()
Transformers - ability to transform from some info to whole yaml file , use cases :
Headers - ability to add some yaml parts before steps
key
use cases:
Steps - ability to add some step to generated pipeline, like git clone, build, notifications, etc
Enricher - ability to enrich each step some additional information, like stage for each step
For add new handler you should create .js in related folder (like analyzer.steps)
Each step has as input analyzer.context (you can access from it githup api, credentials, everything that you need)
module.exports = (context) => {
const { repo: { repoOwner, repoName, branch } , git } = context.getContext();
return {
step : {
type: 'git-clone',
description: 'Cloning main repository...',
repo: `${repoOwner}/${repoName}`,
revision: branch,
git
},
key: 'clone',
group: 'clone'
};
};
Where
key
- it is step name
group
- logical group, like test, linters, etc, will be helpful in future . (For now using it for stages)
FAQs
Generate yaml depend on repo context
The npm package @codefresh-io/pipeline-autobot receives a total of 33 weekly downloads. As such, @codefresh-io/pipeline-autobot popularity was classified as not popular.
We found that @codefresh-io/pipeline-autobot demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 11 open source maintainers collaborating on the project.
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