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gitea/vendor/github.com/blevesearch/bleve/mapping/document.go
2019-11-27 11:23:33 +02:00

556 lines
17 KiB
Go

// Copyright (c) 2014 Couchbase, Inc.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package mapping
import (
"encoding"
"encoding/json"
"fmt"
"reflect"
"time"
"github.com/blevesearch/bleve/registry"
)
// A DocumentMapping describes how a type of document
// should be indexed.
// As documents can be hierarchical, named sub-sections
// of documents are mapped using the same structure in
// the Properties field.
// Each value inside a document can be indexed 0 or more
// ways. These index entries are called fields and
// are stored in the Fields field.
// Entire sections of a document can be ignored or
// excluded by setting Enabled to false.
// If not explicitly mapped, default mapping operations
// are used. To disable this automatic handling, set
// Dynamic to false.
type DocumentMapping struct {
Enabled bool `json:"enabled"`
Dynamic bool `json:"dynamic"`
Properties map[string]*DocumentMapping `json:"properties,omitempty"`
Fields []*FieldMapping `json:"fields,omitempty"`
DefaultAnalyzer string `json:"default_analyzer,omitempty"`
// StructTagKey overrides "json" when looking for field names in struct tags
StructTagKey string `json:"struct_tag_key,omitempty"`
}
func (dm *DocumentMapping) Validate(cache *registry.Cache) error {
var err error
if dm.DefaultAnalyzer != "" {
_, err := cache.AnalyzerNamed(dm.DefaultAnalyzer)
if err != nil {
return err
}
}
for _, property := range dm.Properties {
err = property.Validate(cache)
if err != nil {
return err
}
}
for _, field := range dm.Fields {
if field.Analyzer != "" {
_, err = cache.AnalyzerNamed(field.Analyzer)
if err != nil {
return err
}
}
if field.DateFormat != "" {
_, err = cache.DateTimeParserNamed(field.DateFormat)
if err != nil {
return err
}
}
switch field.Type {
case "text", "datetime", "number", "boolean", "geopoint":
default:
return fmt.Errorf("unknown field type: '%s'", field.Type)
}
}
return nil
}
// analyzerNameForPath attempts to first find the field
// described by this path, then returns the analyzer
// configured for that field
func (dm *DocumentMapping) analyzerNameForPath(path string) string {
field := dm.fieldDescribedByPath(path)
if field != nil {
return field.Analyzer
}
return ""
}
func (dm *DocumentMapping) fieldDescribedByPath(path string) *FieldMapping {
pathElements := decodePath(path)
if len(pathElements) > 1 {
// easy case, there is more than 1 path element remaining
// the next path element must match a property name
// at this level
for propName, subDocMapping := range dm.Properties {
if propName == pathElements[0] {
return subDocMapping.fieldDescribedByPath(encodePath(pathElements[1:]))
}
}
} else {
// just 1 path elememnt
// first look for property name with empty field
for propName, subDocMapping := range dm.Properties {
if propName == pathElements[0] {
// found property name match, now look at its fields
for _, field := range subDocMapping.Fields {
if field.Name == "" || field.Name == pathElements[0] {
// match
return field
}
}
}
}
// next, walk the properties again, looking for field overriding the name
for propName, subDocMapping := range dm.Properties {
if propName != pathElements[0] {
// property name isn't a match, but field name could override it
for _, field := range subDocMapping.Fields {
if field.Name == pathElements[0] {
return field
}
}
}
}
}
return nil
}
// documentMappingForPath only returns EXACT matches for a sub document
// or for an explicitly mapped field, if you want to find the
// closest document mapping to a field not explicitly mapped
// use closestDocMapping
func (dm *DocumentMapping) documentMappingForPath(path string) *DocumentMapping {
pathElements := decodePath(path)
current := dm
OUTER:
for i, pathElement := range pathElements {
for name, subDocMapping := range current.Properties {
if name == pathElement {
current = subDocMapping
continue OUTER
}
}
// no subDocMapping matches this pathElement
// only if this is the last element check for field name
if i == len(pathElements)-1 {
for _, field := range current.Fields {
if field.Name == pathElement {
break
}
}
}
return nil
}
return current
}
// closestDocMapping findest the most specific document mapping that matches
// part of the provided path
func (dm *DocumentMapping) closestDocMapping(path string) *DocumentMapping {
pathElements := decodePath(path)
current := dm
OUTER:
for _, pathElement := range pathElements {
for name, subDocMapping := range current.Properties {
if name == pathElement {
current = subDocMapping
continue OUTER
}
}
break
}
return current
}
// NewDocumentMapping returns a new document mapping
// with all the default values.
func NewDocumentMapping() *DocumentMapping {
return &DocumentMapping{
Enabled: true,
Dynamic: true,
}
}
// NewDocumentStaticMapping returns a new document
// mapping that will not automatically index parts
// of a document without an explicit mapping.
func NewDocumentStaticMapping() *DocumentMapping {
return &DocumentMapping{
Enabled: true,
}
}
// NewDocumentDisabledMapping returns a new document
// mapping that will not perform any indexing.
func NewDocumentDisabledMapping() *DocumentMapping {
return &DocumentMapping{}
}
// AddSubDocumentMapping adds the provided DocumentMapping as a sub-mapping
// for the specified named subsection.
func (dm *DocumentMapping) AddSubDocumentMapping(property string, sdm *DocumentMapping) {
if dm.Properties == nil {
dm.Properties = make(map[string]*DocumentMapping)
}
dm.Properties[property] = sdm
}
// AddFieldMappingsAt adds one or more FieldMappings
// at the named sub-document. If the named sub-document
// doesn't yet exist it is created for you.
// This is a convenience function to make most common
// mappings more concise.
// Otherwise, you would:
// subMapping := NewDocumentMapping()
// subMapping.AddFieldMapping(fieldMapping)
// parentMapping.AddSubDocumentMapping(property, subMapping)
func (dm *DocumentMapping) AddFieldMappingsAt(property string, fms ...*FieldMapping) {
if dm.Properties == nil {
dm.Properties = make(map[string]*DocumentMapping)
}
sdm, ok := dm.Properties[property]
if !ok {
sdm = NewDocumentMapping()
}
for _, fm := range fms {
sdm.AddFieldMapping(fm)
}
dm.Properties[property] = sdm
}
// AddFieldMapping adds the provided FieldMapping for this section
// of the document.
func (dm *DocumentMapping) AddFieldMapping(fm *FieldMapping) {
if dm.Fields == nil {
dm.Fields = make([]*FieldMapping, 0)
}
dm.Fields = append(dm.Fields, fm)
}
// UnmarshalJSON offers custom unmarshaling with optional strict validation
func (dm *DocumentMapping) UnmarshalJSON(data []byte) error {
var tmp map[string]json.RawMessage
err := json.Unmarshal(data, &tmp)
if err != nil {
return err
}
// set defaults for fields which might have been omitted
dm.Enabled = true
dm.Dynamic = true
var invalidKeys []string
for k, v := range tmp {
switch k {
case "enabled":
err := json.Unmarshal(v, &dm.Enabled)
if err != nil {
return err
}
case "dynamic":
err := json.Unmarshal(v, &dm.Dynamic)
if err != nil {
return err
}
case "default_analyzer":
err := json.Unmarshal(v, &dm.DefaultAnalyzer)
if err != nil {
return err
}
case "properties":
err := json.Unmarshal(v, &dm.Properties)
if err != nil {
return err
}
case "fields":
err := json.Unmarshal(v, &dm.Fields)
if err != nil {
return err
}
case "struct_tag_key":
err := json.Unmarshal(v, &dm.StructTagKey)
if err != nil {
return err
}
default:
invalidKeys = append(invalidKeys, k)
}
}
if MappingJSONStrict && len(invalidKeys) > 0 {
return fmt.Errorf("document mapping contains invalid keys: %v", invalidKeys)
}
return nil
}
func (dm *DocumentMapping) defaultAnalyzerName(path []string) string {
rv := ""
current := dm
for _, pathElement := range path {
var ok bool
current, ok = current.Properties[pathElement]
if !ok {
break
}
if current.DefaultAnalyzer != "" {
rv = current.DefaultAnalyzer
}
}
return rv
}
func (dm *DocumentMapping) walkDocument(data interface{}, path []string, indexes []uint64, context *walkContext) {
// allow default "json" tag to be overridden
structTagKey := dm.StructTagKey
if structTagKey == "" {
structTagKey = "json"
}
val := reflect.ValueOf(data)
if !val.IsValid() {
return
}
typ := val.Type()
switch typ.Kind() {
case reflect.Map:
// FIXME can add support for other map keys in the future
if typ.Key().Kind() == reflect.String {
for _, key := range val.MapKeys() {
fieldName := key.String()
fieldVal := val.MapIndex(key).Interface()
dm.processProperty(fieldVal, append(path, fieldName), indexes, context)
}
}
case reflect.Struct:
for i := 0; i < val.NumField(); i++ {
field := typ.Field(i)
fieldName := field.Name
// anonymous fields of type struct can elide the type name
if field.Anonymous && field.Type.Kind() == reflect.Struct {
fieldName = ""
}
// if the field has a name under the specified tag, prefer that
tag := field.Tag.Get(structTagKey)
tagFieldName := parseTagName(tag)
if tagFieldName == "-" {
continue
}
// allow tag to set field name to empty, only if anonymous
if field.Tag != "" && (tagFieldName != "" || field.Anonymous) {
fieldName = tagFieldName
}
if val.Field(i).CanInterface() {
fieldVal := val.Field(i).Interface()
newpath := path
if fieldName != "" {
newpath = append(path, fieldName)
}
dm.processProperty(fieldVal, newpath, indexes, context)
}
}
case reflect.Slice, reflect.Array:
for i := 0; i < val.Len(); i++ {
if val.Index(i).CanInterface() {
fieldVal := val.Index(i).Interface()
dm.processProperty(fieldVal, path, append(indexes, uint64(i)), context)
}
}
case reflect.Ptr:
ptrElem := val.Elem()
if ptrElem.IsValid() && ptrElem.CanInterface() {
dm.processProperty(ptrElem.Interface(), path, indexes, context)
}
case reflect.String:
dm.processProperty(val.String(), path, indexes, context)
case reflect.Int, reflect.Int8, reflect.Int16, reflect.Int32, reflect.Int64:
dm.processProperty(float64(val.Int()), path, indexes, context)
case reflect.Uint, reflect.Uint8, reflect.Uint16, reflect.Uint32, reflect.Uint64:
dm.processProperty(float64(val.Uint()), path, indexes, context)
case reflect.Float32, reflect.Float64:
dm.processProperty(float64(val.Float()), path, indexes, context)
case reflect.Bool:
dm.processProperty(val.Bool(), path, indexes, context)
}
}
func (dm *DocumentMapping) processProperty(property interface{}, path []string, indexes []uint64, context *walkContext) {
pathString := encodePath(path)
// look to see if there is a mapping for this field
subDocMapping := dm.documentMappingForPath(pathString)
closestDocMapping := dm.closestDocMapping(pathString)
// check to see if we even need to do further processing
if subDocMapping != nil && !subDocMapping.Enabled {
return
}
propertyValue := reflect.ValueOf(property)
if !propertyValue.IsValid() {
// cannot do anything with the zero value
return
}
propertyType := propertyValue.Type()
switch propertyType.Kind() {
case reflect.String:
propertyValueString := propertyValue.String()
if subDocMapping != nil {
// index by explicit mapping
for _, fieldMapping := range subDocMapping.Fields {
if fieldMapping.Type == "geopoint" {
fieldMapping.processGeoPoint(property, pathString, path, indexes, context)
} else {
fieldMapping.processString(propertyValueString, pathString, path, indexes, context)
}
}
} else if closestDocMapping.Dynamic {
// automatic indexing behavior
// first see if it can be parsed by the default date parser
dateTimeParser := context.im.DateTimeParserNamed(context.im.DefaultDateTimeParser)
if dateTimeParser != nil {
parsedDateTime, err := dateTimeParser.ParseDateTime(propertyValueString)
if err != nil {
// index as text
fieldMapping := newTextFieldMappingDynamic(context.im)
fieldMapping.processString(propertyValueString, pathString, path, indexes, context)
} else {
// index as datetime
fieldMapping := newDateTimeFieldMappingDynamic(context.im)
fieldMapping.processTime(parsedDateTime, pathString, path, indexes, context)
}
}
}
case reflect.Int, reflect.Int8, reflect.Int16, reflect.Int32, reflect.Int64:
dm.processProperty(float64(propertyValue.Int()), path, indexes, context)
return
case reflect.Uint, reflect.Uint8, reflect.Uint16, reflect.Uint32, reflect.Uint64:
dm.processProperty(float64(propertyValue.Uint()), path, indexes, context)
return
case reflect.Float64, reflect.Float32:
propertyValFloat := propertyValue.Float()
if subDocMapping != nil {
// index by explicit mapping
for _, fieldMapping := range subDocMapping.Fields {
fieldMapping.processFloat64(propertyValFloat, pathString, path, indexes, context)
}
} else if closestDocMapping.Dynamic {
// automatic indexing behavior
fieldMapping := newNumericFieldMappingDynamic(context.im)
fieldMapping.processFloat64(propertyValFloat, pathString, path, indexes, context)
}
case reflect.Bool:
propertyValBool := propertyValue.Bool()
if subDocMapping != nil {
// index by explicit mapping
for _, fieldMapping := range subDocMapping.Fields {
fieldMapping.processBoolean(propertyValBool, pathString, path, indexes, context)
}
} else if closestDocMapping.Dynamic {
// automatic indexing behavior
fieldMapping := newBooleanFieldMappingDynamic(context.im)
fieldMapping.processBoolean(propertyValBool, pathString, path, indexes, context)
}
case reflect.Struct:
switch property := property.(type) {
case time.Time:
// don't descend into the time struct
if subDocMapping != nil {
// index by explicit mapping
for _, fieldMapping := range subDocMapping.Fields {
fieldMapping.processTime(property, pathString, path, indexes, context)
}
} else if closestDocMapping.Dynamic {
fieldMapping := newDateTimeFieldMappingDynamic(context.im)
fieldMapping.processTime(property, pathString, path, indexes, context)
}
case encoding.TextMarshaler:
txt, err := property.MarshalText()
if err == nil && subDocMapping != nil {
// index by explicit mapping
for _, fieldMapping := range subDocMapping.Fields {
if fieldMapping.Type == "text" {
fieldMapping.processString(string(txt), pathString, path, indexes, context)
}
}
}
dm.walkDocument(property, path, indexes, context)
default:
if subDocMapping != nil {
for _, fieldMapping := range subDocMapping.Fields {
if fieldMapping.Type == "geopoint" {
fieldMapping.processGeoPoint(property, pathString, path, indexes, context)
}
}
}
dm.walkDocument(property, path, indexes, context)
}
case reflect.Map, reflect.Slice:
if subDocMapping != nil {
for _, fieldMapping := range subDocMapping.Fields {
if fieldMapping.Type == "geopoint" {
fieldMapping.processGeoPoint(property, pathString, path, indexes, context)
}
}
}
dm.walkDocument(property, path, indexes, context)
case reflect.Ptr:
if !propertyValue.IsNil() {
switch property := property.(type) {
case encoding.TextMarshaler:
// ONLY process TextMarshaler if there is an explicit mapping
// AND all of the fiels are of type text
// OTHERWISE process field without TextMarshaler
if subDocMapping != nil {
allFieldsText := true
for _, fieldMapping := range subDocMapping.Fields {
if fieldMapping.Type != "text" {
allFieldsText = false
break
}
}
txt, err := property.MarshalText()
if err == nil && allFieldsText {
txtStr := string(txt)
for _, fieldMapping := range subDocMapping.Fields {
fieldMapping.processString(txtStr, pathString, path, indexes, context)
}
return
}
}
dm.walkDocument(property, path, indexes, context)
default:
dm.walkDocument(property, path, indexes, context)
}
}
default:
dm.walkDocument(property, path, indexes, context)
}
}