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ffff0e8c33
* Add the Schema type and a function to read it
* Added a function to read a schema from a file
* Check that values.yaml matches schema
This commit uses the gojsonschema package to validate a values.yaml file
against a corresponding values.schema.yaml file.
* Add functionality to generate a schema from a values.yaml
* Add Schema to Chart and loader
* Clean up implementation in chartutil
* Add tests for helm install with schema
* Add schema validation to helm lint
* Clean up "matchSchema"
* Modify error output
* Add documentation
* Fix a linter issue
* Fix a test that broke during a rebase
* Clean up documentation
* Specify JSONSchema spec
Since JSONSchema is still in a draft state as of this commit, we need to
specify a particular version of the JSONSchema spec
* Switch to using builtin functionality for file extensions
* Switch to using a third-party library for JSON conversion
* Use the constants from the gojsonschema package
* Updates to unit tests
* Minor change to avoid string cast
* Remove JSON Schema generation
* Change Schema type from map[string]interface{} to []byte
* Convert all Schema YAML to JSON
* Fix some tests that were broken by a rebase
* Fix up YAML/JSON conversions
* This checks subcharts for schema validation
The final coalesced values for a given chart will be validated against
that chart's schema, as well as any dependent subchart's schema
* Add unit tests for ValidateAgainstSchema
* Remove nonessential test files
* Remove a misleading unit test
The TestReadSchema unit test was simply testing the ReadValues function,
which is already being validated in the TestReadValues unit test
* Update documentation to reflect changes to subchart schemas
67 lines
1.2 KiB
JSON
67 lines
1.2 KiB
JSON
{
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"$schema": "http://json-schema.org/draft-07/schema#",
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"properties": {
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"addresses": {
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"description": "List of addresses",
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"items": {
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"properties": {
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"city": {
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"type": "string"
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},
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"number": {
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"type": "number"
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},
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"street": {
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"type": "string"
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}
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},
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"type": "object"
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},
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"type": "array"
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},
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"age": {
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"description": "Age",
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"minimum": 0,
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"type": "integer"
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},
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"employmentInfo": {
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"properties": {
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"salary": {
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"minimum": 0,
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"type": "number"
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},
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"title": {
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"type": "string"
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}
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},
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"required": [
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"salary"
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],
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"type": "object"
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},
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"firstname": {
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"description": "First name",
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"type": "string"
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},
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"lastname": {
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"type": "string"
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},
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"likesCoffee": {
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"type": "boolean"
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},
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"phoneNumbers": {
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"items": {
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"type": "string"
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},
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"type": "array"
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}
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},
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"required": [
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"firstname",
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"lastname",
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"addresses",
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"employmentInfo"
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],
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"title": "Values",
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"type": "object"
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}
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