databricks-cli/bundle/schema/schema.go

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package schema
import (
"container/list"
"fmt"
"reflect"
"strings"
"github.com/databricks/cli/libs/jsonschema"
)
// Fields tagged "readonly" should not be emitted in the schema as they are
// computed at runtime, and should not be assigned a value by the bundle author.
const readonlyTag = "readonly"
// Annotation for internal bundle fields that should not be exposed to customers.
// Fields can be tagged as "internal" to remove them from the generated schema.
const internalTag = "internal"
// Annotation for bundle fields that have been deprecated.
// Fields tagged as "deprecated" are removed/omitted from the generated schema.
const deprecatedTag = "deprecated"
// This function translates golang types into json schema. Here is the mapping
// between json schema types and golang types
//
// - GolangType -> Javascript type / Json Schema2
//
// - bool -> boolean
//
// - string -> string
//
// - int (all variants) -> number
//
// - float (all variants) -> number
//
// - map[string]MyStruct -> { type: object, additionalProperties: {}}
// for details visit: https://json-schema.org/understanding-json-schema/reference/object.html#additional-properties
//
// - []MyStruct -> {type: array, items: {}}
// for details visit: https://json-schema.org/understanding-json-schema/reference/array.html#items
//
// - []MyStruct -> {type: object, properties: {}, additionalProperties: false}
// for details visit: https://json-schema.org/understanding-json-schema/reference/object.html#properties
func New(golangType reflect.Type, docs *Docs) (*jsonschema.Schema, error) {
tracker := newTracker()
schema, err := safeToSchema(golangType, docs, "", tracker)
if err != nil {
return nil, tracker.errWithTrace(err.Error(), "root")
}
return schema, nil
}
func jsonSchemaType(golangType reflect.Type) (jsonschema.Type, error) {
switch golangType.Kind() {
case reflect.Bool:
return jsonschema.BooleanType, nil
case reflect.String:
return jsonschema.StringType, nil
case reflect.Int, reflect.Int8, reflect.Int16, reflect.Int32, reflect.Int64,
reflect.Uint, reflect.Uint8, reflect.Uint16, reflect.Uint32, reflect.Uint64,
reflect.Float32, reflect.Float64:
return jsonschema.NumberType, nil
case reflect.Struct:
return jsonschema.ObjectType, nil
case reflect.Map:
if golangType.Key().Kind() != reflect.String {
return jsonschema.InvalidType, fmt.Errorf("only strings map keys are valid. key type: %v", golangType.Key().Kind())
}
return jsonschema.ObjectType, nil
case reflect.Array, reflect.Slice:
return jsonschema.ArrayType, nil
default:
return jsonschema.InvalidType, fmt.Errorf("unhandled golang type: %s", golangType)
}
}
// A wrapper over toSchema function to:
// 1. Detect cycles in the bundle config struct.
// 2. Update tracker
//
// params:
//
// - golangType: Golang type to generate json schema for
//
// - docs: Contains documentation to be injected into the generated json schema
//
// - traceId: An identifier for the current type, to trace recursive traversal.
// Its value is the first json tag in case of struct fields and "" in other cases
// like array, map or no json tags
//
// - tracker: Keeps track of types / traceIds seen during recursive traversal
func safeToSchema(golangType reflect.Type, docs *Docs, traceId string, tracker *tracker) (*jsonschema.Schema, error) {
// HACK to unblock CLI release (13th Feb 2024). This is temporary until proper
// support for recursive types is added to the schema generator. PR: https://github.com/databricks/cli/pull/1204
if traceId == "for_each_task" {
Fix the generated DABs JSON schema (#1322) ## Changes This PR fixes bundle schema being broken because `for_each_task: null` was set in the generated schema. This is not valid according to the JSON schema specification and thus the Red Hat YAML VSCode extension was failing to parse the YAML configuration. This PR fixes: https://github.com/databricks/cli/issues/1312 ## Tests The fix itself was tested manually. I asserted that the autocompletion works now. This was mistakenly overlooked the first time around when the regression was introduced in https://github.com/databricks/cli/pull/1204 because the YAML extension provides best-effort autocomplete suggestions even if the JSON schema fails to load. To prevent future regressions we also add a test to assert that the JSON schema generated itself is a valid JSON schema object. This is done via using the `ajv-cli` to validate the schema. This package is also used by the Red Hat YAML extension and thus provides a high fidelity check for ensuring the JSON schema is valid. Before, with the old schema: ``` shreyas.goenka@THW32HFW6T cli-versions % ajv validate -s proj/schema-216.json -d ../bundle-playground-3/databricks.yml schema proj/schema-216.json is invalid error: schema is invalid: data/properties/resources/properties/jobs/additionalProperties/properties/tasks/items/properties/for_each_task must be object,boolean, data/properties/resources/properties/jobs/additionalProperties/properties/tasks/items must be array, data/properties/resources/properties/jobs/additionalProperties/properties/tasks/items must match a schema in anyOf ``` After, with the new schema: ``` shreyas.goenka@THW32HFW6T cli-versions % ajv validate -s proj/schema-dev.json -d ../bundle-playground-3/databricks.yml ../bundle-playground-3/databricks.yml valid ``` After, autocomplete suggestions: <img width="600" alt="Screenshot 2024-03-27 at 6 35 57 PM" src="https://github.com/databricks/cli/assets/88374338/d0a62402-e323-4f36-854d-332b33cbeab8">
2024-03-28 11:25:36 +00:00
return &jsonschema.Schema{
Type: jsonschema.ObjectType,
}, nil
}
// WE ERROR OUT IF THERE ARE CYCLES IN THE JSON SCHEMA
// There are mechanisms to deal with cycles though recursive identifiers in json
// schema. However if we use them, we would need to make sure we are able to detect
// cycles where two properties (directly or indirectly) pointing to each other
//
// see: https://json-schema.org/understanding-json-schema/structuring.html#recursion
// for details
if tracker.hasCycle(golangType) {
return nil, fmt.Errorf("cycle detected")
}
tracker.push(golangType, traceId)
props, err := toSchema(golangType, docs, tracker)
if err != nil {
return nil, err
}
tracker.pop(golangType)
return props, nil
}
// This function returns all member fields of the provided type.
// If the type has embedded (aka anonymous) fields, this function traverses
// those in a breadth first manner
func getStructFields(golangType reflect.Type) []reflect.StructField {
fields := []reflect.StructField{}
bfsQueue := list.New()
for i := 0; i < golangType.NumField(); i++ {
bfsQueue.PushBack(golangType.Field(i))
}
for bfsQueue.Len() > 0 {
front := bfsQueue.Front()
field := front.Value.(reflect.StructField)
bfsQueue.Remove(front)
if !field.Anonymous {
fields = append(fields, field)
continue
}
fieldType := field.Type
if fieldType.Kind() == reflect.Pointer {
fieldType = fieldType.Elem()
}
for i := 0; i < fieldType.NumField(); i++ {
bfsQueue.PushBack(fieldType.Field(i))
}
}
return fields
}
func toSchema(golangType reflect.Type, docs *Docs, tracker *tracker) (*jsonschema.Schema, error) {
// *Struct and Struct generate identical json schemas
if golangType.Kind() == reflect.Pointer {
return safeToSchema(golangType.Elem(), docs, "", tracker)
}
if golangType.Kind() == reflect.Interface {
return &jsonschema.Schema{}, nil
}
rootJavascriptType, err := jsonSchemaType(golangType)
if err != nil {
return nil, err
}
jsonSchema := &jsonschema.Schema{Type: rootJavascriptType}
if docs != nil {
jsonSchema.Description = docs.Description
}
// case array/slice
if golangType.Kind() == reflect.Array || golangType.Kind() == reflect.Slice {
elemGolangType := golangType.Elem()
elemJavascriptType, err := jsonSchemaType(elemGolangType)
if err != nil {
return nil, err
}
var childDocs *Docs
if docs != nil {
childDocs = docs.Items
}
elemProps, err := safeToSchema(elemGolangType, childDocs, "", tracker)
if err != nil {
return nil, err
}
jsonSchema.Items = &jsonschema.Schema{
Type: elemJavascriptType,
Properties: elemProps.Properties,
AdditionalProperties: elemProps.AdditionalProperties,
Items: elemProps.Items,
Required: elemProps.Required,
}
}
// case map
if golangType.Kind() == reflect.Map {
if golangType.Key().Kind() != reflect.String {
return nil, fmt.Errorf("only string keyed maps allowed")
}
var childDocs *Docs
if docs != nil {
childDocs = docs.AdditionalProperties
}
jsonSchema.AdditionalProperties, err = safeToSchema(golangType.Elem(), childDocs, "", tracker)
if err != nil {
return nil, err
}
}
// case struct
if golangType.Kind() == reflect.Struct {
children := getStructFields(golangType)
properties := map[string]*jsonschema.Schema{}
required := []string{}
for _, child := range children {
bundleTag := child.Tag.Get("bundle")
// Fields marked as "readonly", "internal" or "deprecated" are skipped
// while generating the schema
if bundleTag == readonlyTag || bundleTag == internalTag || bundleTag == deprecatedTag {
continue
}
// get child json tags
childJsonTag := strings.Split(child.Tag.Get("json"), ",")
childName := childJsonTag[0]
// skip children that have no json tags, the first json tag is ""
// or the first json tag is "-"
if childName == "" || childName == "-" {
continue
}
// get docs for the child if they exist
var childDocs *Docs
if docs != nil {
if val, ok := docs.Properties[childName]; ok {
childDocs = val
}
}
// compute if the child is a required field. Determined by the
// presence of "omitempty" in the json tags
hasOmitEmptyTag := false
for i := 1; i < len(childJsonTag); i++ {
if childJsonTag[i] == "omitempty" {
hasOmitEmptyTag = true
}
}
if !hasOmitEmptyTag {
required = append(required, childName)
}
// compute Schema.Properties for the child recursively
fieldProps, err := safeToSchema(child.Type, childDocs, childName, tracker)
if err != nil {
return nil, err
}
properties[childName] = fieldProps
}
jsonSchema.AdditionalProperties = false
jsonSchema.Properties = properties
jsonSchema.Required = required
}
return jsonSchema, nil
}