helper/schema: FieldReader and MapFieldReader
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08348eed28
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package schema
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import (
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"fmt"
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"strconv"
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"strings"
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)
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// FieldReaders are responsible for decoding fields out of data into
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// the proper typed representation. ResourceData uses this to query data
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// out of multiple sources: config, state, diffs, etc.
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type FieldReader interface {
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ReadField([]string, *Schema) (interface{}, bool, error)
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}
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// MapFieldReader reads fields out of an untyped map[string]string to
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// the best of its ability.
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type MapFieldReader struct {
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Map map[string]string
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}
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func (r *MapFieldReader) ReadField(
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address []string, schema *Schema) (interface{}, bool, error) {
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k := strings.Join(address, ".")
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switch schema.Type {
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case TypeBool:
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fallthrough
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case TypeInt:
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fallthrough
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case TypeString:
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return r.readPrimitive(k, schema)
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case TypeList:
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return r.readList(k, schema)
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case TypeMap:
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return r.readMap(k)
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case TypeSet:
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return r.readSet(k, schema)
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case typeObject:
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return r.readObject(k, schema.Elem.(map[string]*Schema))
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default:
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panic(fmt.Sprintf("Unknown type: %#v", schema.Type))
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}
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}
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func (r *MapFieldReader) readObject(
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k string, schema map[string]*Schema) (interface{}, bool, error) {
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result := make(map[string]interface{})
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for field, schema := range schema {
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v, ok, err := r.ReadField([]string{k, field}, schema)
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if err != nil {
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return nil, false, err
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}
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if !ok {
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continue
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}
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result[field] = v
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}
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return result, true, nil
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}
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func (r *MapFieldReader) readList(
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k string, schema *Schema) (interface{}, bool, error) {
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// Get the number of elements in the list
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countRaw, countOk, err := r.readPrimitive(
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k+".#", &Schema{Type: TypeInt})
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if err != nil {
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return nil, false, err
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}
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if !countOk {
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// No count, means we have no list
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countRaw = 0
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}
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// If we have an empty list, then return an empty list
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if countRaw.(int) == 0 {
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return []interface{}{}, true, nil
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}
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// Get the schema for the elements
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var elemSchema *Schema
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switch t := schema.Elem.(type) {
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case *Resource:
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elemSchema = &Schema{
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Type: typeObject,
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Elem: t.Schema,
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}
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case *Schema:
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elemSchema = t
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}
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// Go through each count, and get the item value out of it
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result := make([]interface{}, countRaw.(int))
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for i, _ := range result {
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is := strconv.FormatInt(int64(i), 10)
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raw, ok, err := r.ReadField([]string{k, is}, elemSchema)
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if err != nil {
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return nil, false, err
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}
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if !ok {
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// This should never happen, because by the time the data
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// gets to the FieldReaders, all the defaults should be set by
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// Schema.
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raw = nil
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}
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result[i] = raw
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}
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return result, true, nil
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}
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func (r *MapFieldReader) readMap(k string) (interface{}, bool, error) {
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result := make(map[string]interface{})
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resultSet := false
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prefix := k + "."
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for k, v := range r.Map {
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if !strings.HasPrefix(k, prefix) {
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continue
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}
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result[k[len(prefix):]] = v
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resultSet = true
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}
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var resultVal interface{}
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if resultSet {
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resultVal = result
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}
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return resultVal, resultSet, nil
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}
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func (r *MapFieldReader) readPrimitive(
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k string, schema *Schema) (interface{}, bool, error) {
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result, ok := r.Map[k]
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if !ok {
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return nil, false, nil
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}
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var returnVal interface{}
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switch schema.Type {
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case TypeBool:
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if result == "" {
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returnVal = false
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break
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}
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v, err := strconv.ParseBool(result)
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if err != nil {
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return nil, false, err
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}
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returnVal = v
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case TypeInt:
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if result == "" {
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returnVal = 0
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break
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}
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v, err := strconv.ParseInt(result, 0, 0)
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if err != nil {
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return nil, false, err
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}
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returnVal = int(v)
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case TypeString:
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returnVal = result
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default:
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panic(fmt.Sprintf("Unknown type: %#v", schema.Type))
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}
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return returnVal, true, nil
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}
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func (r *MapFieldReader) readSet(
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k string, schema *Schema) (interface{}, bool, error) {
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// Get the number of elements in the list
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countRaw, countOk, err := r.readPrimitive(
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k+".#", &Schema{Type: TypeInt})
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if err != nil {
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return nil, false, err
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}
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if !countOk {
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// No count, means we have no list
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countRaw = 0
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}
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// Create the set that will be our result
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set := &Set{F: schema.Set}
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// If we have an empty list, then return an empty list
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if countRaw.(int) == 0 {
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return set, true, nil
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}
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// Get the schema for the elements
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var elemSchema *Schema
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switch t := schema.Elem.(type) {
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case *Resource:
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elemSchema = &Schema{
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Type: typeObject,
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Elem: t.Schema,
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}
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case *Schema:
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elemSchema = t
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}
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// Go through the map and find all the set items
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prefix := k + "."
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for k, _ := range r.Map {
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if !strings.HasPrefix(k, prefix) {
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continue
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}
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if strings.HasPrefix(k, prefix+"#") {
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// Ignore the count field
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continue
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}
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// Split the key, since it might be a sub-object like "idx.field"
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parts := strings.Split(k[len(prefix):], ".")
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idx := parts[0]
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v, ok, err := r.ReadField([]string{prefix + idx}, elemSchema)
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if err != nil {
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return nil, false, err
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}
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if !ok {
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// This shouldn't happen because we just verified it does exist
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panic("missing field in set: " + k + "." + idx)
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}
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set.Add(v)
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}
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return set, true, nil
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}
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@ -0,0 +1,189 @@
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package schema
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import (
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"reflect"
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"testing"
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)
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func TestMapFieldReader_impl(t *testing.T) {
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var _ FieldReader = new(MapFieldReader)
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}
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func TestMapFieldReader(t *testing.T) {
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r := &MapFieldReader{
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Map: map[string]string{
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"bool": "true",
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"int": "42",
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"string": "string",
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"list.#": "2",
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"list.0": "foo",
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"list.1": "bar",
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"listInt.#": "2",
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"listInt.0": "21",
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"listInt.1": "42",
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"map.foo": "bar",
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"map.bar": "baz",
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"set.#": "2",
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"set.10": "10",
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"set.50": "50",
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"setDeep.#": "2",
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"setDeep.10.index": "10",
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"setDeep.10.value": "foo",
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"setDeep.50.index": "50",
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"setDeep.50.value": "bar",
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},
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}
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cases := map[string]struct {
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Addr []string
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Schema *Schema
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Out interface{}
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OutOk bool
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OutErr bool
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}{
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"noexist": {
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[]string{"boolNOPE"},
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&Schema{Type: TypeBool},
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nil,
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false,
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false,
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},
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"bool": {
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[]string{"bool"},
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&Schema{Type: TypeBool},
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true,
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true,
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false,
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},
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"int": {
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[]string{"int"},
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&Schema{Type: TypeInt},
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42,
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true,
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false,
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},
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"string": {
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[]string{"string"},
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&Schema{Type: TypeString},
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"string",
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true,
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false,
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},
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"list": {
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[]string{"list"},
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&Schema{
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Type: TypeList,
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Elem: &Schema{Type: TypeString},
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},
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[]interface{}{
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"foo",
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"bar",
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},
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true,
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false,
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},
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"listInt": {
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[]string{"listInt"},
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&Schema{
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Type: TypeList,
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Elem: &Schema{Type: TypeInt},
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},
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[]interface{}{
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21,
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42,
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},
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true,
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false,
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},
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"map": {
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[]string{"map"},
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&Schema{Type: TypeMap},
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map[string]interface{}{
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"foo": "bar",
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"bar": "baz",
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},
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true,
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false,
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},
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"mapelem": {
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[]string{"map", "foo"},
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&Schema{Type: TypeString},
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"bar",
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true,
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false,
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},
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"set": {
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[]string{"set"},
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&Schema{
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Type: TypeSet,
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Elem: &Schema{Type: TypeInt},
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Set: func(a interface{}) int {
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return a.(int)
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},
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},
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[]interface{}{10, 50},
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true,
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false,
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},
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"setDeep": {
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[]string{"setDeep"},
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&Schema{
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Type: TypeSet,
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Elem: &Resource{
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Schema: map[string]*Schema{
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"index": &Schema{Type: TypeInt},
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"value": &Schema{Type: TypeString},
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},
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},
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Set: func(a interface{}) int {
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return a.(map[string]interface{})["index"].(int)
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},
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},
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[]interface{}{
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map[string]interface{}{
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"index": 10,
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"value": "foo",
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},
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map[string]interface{}{
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"index": 50,
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"value": "bar",
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},
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},
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true,
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false,
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},
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}
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for name, tc := range cases {
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out, outOk, outErr := r.ReadField(tc.Addr, tc.Schema)
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if (outErr != nil) != tc.OutErr {
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t.Fatalf("%s: err: %s", name, outErr)
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}
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if s, ok := out.(*Set); ok {
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// If it is a set, convert to a list so its more easily checked.
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out = s.List()
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}
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if !reflect.DeepEqual(out, tc.Out) {
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t.Fatalf("%s: out: %#v", name, out)
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}
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if outOk != tc.OutOk {
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t.Fatalf("%s: outOk: %#v", name, outOk)
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}
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}
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}
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@ -33,6 +33,7 @@ const (
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TypeList
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TypeMap
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TypeSet
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typeObject
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)
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// Schema is used to describe the structure of a value.
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