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azure-pipelines-language-service
Advanced tools
The following settings are supported:
yaml.format.enable
: Enable/disable default YAML formatteryaml.validate
: Enable/disable validation featureyaml.schemas
: Helps you associate schemas with files in a glob patternyaml.customTags
: Array of custom tags that the parser will validate against. It has two ways to be used. Either an item in the array is a custom tag such as "!Ref" or you can specify the type of the object !Ref should be by doing "!Ref scalar". For example: ["!Ref", "!Some-Tag scalar"]. The type of object can be one of scalar, sequence, mapping, map.When associating a schema it should follow the format below
yaml.schemas: {
"url": "globPattern",
"Kubernetes": "globPattern",
"kedge": "globPattern"
}
e.g.
yaml.schemas: {
"http://json.schemastore.org/composer": "/*"
}
e.g.
yaml.schemas: {
"kubernetes": "/myYamlFile.yaml"
}
e.g.
yaml.schemas: {
"kedge": "/myKedgeApp.yaml"
}
e.g.
yaml.schemas: {
"http://json.schemastore.org/composer": "/*",
"kubernetes": "/myYamlFile.yaml"
}
yaml.schemas
extension allows you to specify json schemas that you want to validate against the yaml that you write. Kubernetes and kedge are optional fields. They do not require a url as the language server will provide that. You just need the keywords kubernetes/kedge and a glob pattern.
This repository only contains the server implementation. Here are some known clients consuming this server:
This project was forked from the YAML Language Server by Red Hat.
FAQs
Azure Pipelines language service
We found that azure-pipelines-language-service demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 4 open source maintainers collaborating on the project.
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