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/*
Package mapstriface contains utilities for transforming map[string]interface{} objects
into metricbeat events. For example, given this input object:
input := map[string]interface{}{
"testString": "hello",
"testInt": 42,
"testIntFromFloat": 42.0,
"testIntFromInt64": int64(42),
"testBool": true,
"testObj": map[string]interface{}{
"testObjString": "hello, object",
},
"testNonNestedObj": "hello from top level",
}
And the requirement to transform it into this one:
common.MapStr{
"test_string": "hello",
"test_int": int64(42),
"test_int_from_float": int64(42),
"test_int_from_int64": int64(42),
"test_bool": true,
"test_time": common.Time(ts),
"test_obj_1": common.MapStr{
"test": "hello from top level",
},
"test_obj_2": common.MapStr{
"test": "hello, object",
},
}
It can be done with the following code:
schema := s.Schema{
"test_string": Str("testString"),
"test_int": Int("testInt"),
"test_int_from_float": Int("testIntFromFloat"),
"test_int_from_int64": Int("testIntFromInt64"),
"test_bool": Bool("testBool"),
"test_time": Time("testTime"),
"test_obj_1": s.Object{
"test": Str("testNonNestedObj"),
},
"test_obj_2": Dict("testObj", s.Schema{
"test": Str("testObjString"),
}),
}
output := schema.Apply(input)
Note that this allows for converting, renaming, and restructuring the data.
*/
package mapstriface
import (
"fmt"
"time"
"encoding/json"
"github.com/elastic/beats/libbeat/common"
"github.com/elastic/beats/libbeat/logp"
"github.com/elastic/beats/metricbeat/schema"
)
type ConvMap struct {
Key string // The key in the data map
Schema schema.Schema // The schema describing how to convert the sub-map
Optional bool
}
// Map drills down in the data dictionary by using the key
func (convMap ConvMap) Map(key string, event common.MapStr, data map[string]interface{}) {
subData, ok := data[convMap.Key].(map[string]interface{})
if !ok {
if !convMap.Optional {
logp.Err("Error accessing sub-dictionary `%s`", convMap.Key)
}
return
}
subEvent := common.MapStr{}
convMap.Schema.ApplyTo(subEvent, subData)
event[key] = subEvent
}
func (convMap ConvMap) HasKey(key string) bool {
if convMap.Key == key {
return true
}
return convMap.Schema.HasKey(key)
}
func Dict(key string, s schema.Schema, opts ...DictSchemaOption) ConvMap {
return dictSetOptions(ConvMap{Key: key, Schema: s}, opts)
}
func toStrFromNum(key string, data map[string]interface{}) (interface{}, error) {
emptyIface, exists := data[key]
if !exists {
return false, fmt.Errorf("Key %s not found", key)
}
switch emptyIface.(type) {
case int, int32, int64, uint, uint32, uint64, float32, float64:
return fmt.Sprintf("%v", emptyIface), nil
case json.Number:
return string(emptyIface.(json.Number)), nil
default:
return "", fmt.Errorf("Expected number, found %T", emptyIface)
}
}
// StrFromNum creates a schema.Conv object that transforms numbers to strings.
func StrFromNum(key string, opts ...schema.SchemaOption) schema.Conv {
return schema.SetOptions(schema.Conv{Key: key, Func: toStrFromNum}, opts)
}
func toStr(key string, data map[string]interface{}) (interface{}, error) {
emptyIface, err := common.MapStr(data).GetValue(key)
if err != nil {
fmt.Println(err)
return "", fmt.Errorf("Key %s not found", key)
}
str, ok := emptyIface.(string)
if !ok {
return "", fmt.Errorf("Expected string, found %T", emptyIface)
}
return str, nil
}
// Str creates a schema.Conv object for converting strings.
func Str(key string, opts ...schema.SchemaOption) schema.Conv {
return schema.SetOptions(schema.Conv{Key: key, Func: toStr}, opts)
}
func toBool(key string, data map[string]interface{}) (interface{}, error) {
emptyIface, exists := data[key]
if !exists {
return false, fmt.Errorf("Key %s not found", key)
}
boolean, ok := emptyIface.(bool)
if !ok {
return false, fmt.Errorf("Expected bool, found %T", emptyIface)
}
return boolean, nil
}
// Bool creates a Conv object for converting booleans.
func Bool(key string, opts ...schema.SchemaOption) schema.Conv {
return schema.SetOptions(schema.Conv{Key: key, Func: toBool}, opts)
}
func toInteger(key string, data map[string]interface{}) (interface{}, error) {
emptyIface, exists := data[key]
if !exists {
return 0, fmt.Errorf("Key %s not found", key)
}
switch emptyIface.(type) {
case int64:
return emptyIface.(int64), nil
case int:
return int64(emptyIface.(int)), nil
case float64:
return int64(emptyIface.(float64)), nil
case json.Number:
num := emptyIface.(json.Number)
i64, err := num.Int64()
if err == nil {
return i64, nil
}
f64, err := num.Float64()
if err == nil {
return int64(f64), nil
}
return 0, fmt.Errorf("Expected integer, found json.Number (%v) that cannot be converted", num)
default:
return 0, fmt.Errorf("Expected integer, found %T", emptyIface)
}
}
// Int creates a Conv object for converting integers. Acceptable input
// types are int64, int, and float64.
func Int(key string, opts ...schema.SchemaOption) schema.Conv {
return schema.SetOptions(schema.Conv{Key: key, Func: toInteger}, opts)
}
func toTime(key string, data map[string]interface{}) (interface{}, error) {
emptyIface, exists := data[key]
if !exists {
return common.Time(time.Unix(0, 0)), fmt.Errorf("Key %s not found", key)
}
ts, ok := emptyIface.(time.Time)
if !ok {
return common.Time(time.Unix(0, 0)), fmt.Errorf("Expected date, found %T", emptyIface)
}
return common.Time(ts), nil
}
// Time creates a Conv object for converting Time objects.
func Time(key string, opts ...schema.SchemaOption) schema.Conv {
return schema.SetOptions(schema.Conv{Key: key, Func: toTime}, opts)
}
// SchemaOption is for adding optional parameters to the conversion
// functions
type DictSchemaOption func(c ConvMap) ConvMap
// The optional flag suppresses the error message in case the key
// doesn't exist or results in an error.
func DictOptional(c ConvMap) ConvMap {
c.Optional = true
return c
}
// setOptions adds the optional flags to the Conv object
func dictSetOptions(c ConvMap, opts []DictSchemaOption) ConvMap {
for _, opt := range opts {
c = opt(c)
}
return c
}
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