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gitea/vendor/github.com/blevesearch/bleve/v2/mapping/field.go

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// 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/json"
"fmt"
"time"
index "github.com/blevesearch/bleve_index_api"
"github.com/blevesearch/bleve/v2/analysis"
"github.com/blevesearch/bleve/v2/document"
"github.com/blevesearch/bleve/v2/geo"
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)
// control the default behavior for dynamic fields (those not explicitly mapped)
var (
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IndexDynamic = true
StoreDynamic = true
DocValuesDynamic = true // TODO revisit default?
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)
// A FieldMapping describes how a specific item
// should be put into the index.
type FieldMapping struct {
Name string `json:"name,omitempty"`
Type string `json:"type,omitempty"`
// Analyzer specifies the name of the analyzer to use for this field. If
// Analyzer is empty, traverse the DocumentMapping tree toward the root and
// pick the first non-empty DefaultAnalyzer found. If there is none, use
// the IndexMapping.DefaultAnalyzer.
Analyzer string `json:"analyzer,omitempty"`
// Store indicates whether to store field values in the index. Stored
// values can be retrieved from search results using SearchRequest.Fields.
Store bool `json:"store,omitempty"`
Index bool `json:"index,omitempty"`
// IncludeTermVectors, if true, makes terms occurrences to be recorded for
// this field. It includes the term position within the terms sequence and
// the term offsets in the source document field. Term vectors are required
// to perform phrase queries or terms highlighting in source documents.
IncludeTermVectors bool `json:"include_term_vectors,omitempty"`
IncludeInAll bool `json:"include_in_all,omitempty"`
DateFormat string `json:"date_format,omitempty"`
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// DocValues, if true makes the index uninverting possible for this field
// It is useful for faceting and sorting queries.
DocValues bool `json:"docvalues,omitempty"`
// SkipFreqNorm, if true, avoids the indexing of frequency and norm values
// of the tokens for this field. This option would be useful for saving
// the processing of freq/norm details when the default score based relevancy
// isn't needed.
SkipFreqNorm bool `json:"skip_freq_norm,omitempty"`
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}
// NewTextFieldMapping returns a default field mapping for text
func NewTextFieldMapping() *FieldMapping {
return &FieldMapping{
Type: "text",
Store: true,
Index: true,
IncludeTermVectors: true,
IncludeInAll: true,
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DocValues: true,
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}
}
func newTextFieldMappingDynamic(im *IndexMappingImpl) *FieldMapping {
rv := NewTextFieldMapping()
rv.Store = im.StoreDynamic
rv.Index = im.IndexDynamic
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rv.DocValues = im.DocValuesDynamic
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return rv
}
// NewNumericFieldMapping returns a default field mapping for numbers
func NewNumericFieldMapping() *FieldMapping {
return &FieldMapping{
Type: "number",
Store: true,
Index: true,
IncludeInAll: true,
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DocValues: true,
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}
}
func newNumericFieldMappingDynamic(im *IndexMappingImpl) *FieldMapping {
rv := NewNumericFieldMapping()
rv.Store = im.StoreDynamic
rv.Index = im.IndexDynamic
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rv.DocValues = im.DocValuesDynamic
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return rv
}
// NewDateTimeFieldMapping returns a default field mapping for dates
func NewDateTimeFieldMapping() *FieldMapping {
return &FieldMapping{
Type: "datetime",
Store: true,
Index: true,
IncludeInAll: true,
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DocValues: true,
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}
}
func newDateTimeFieldMappingDynamic(im *IndexMappingImpl) *FieldMapping {
rv := NewDateTimeFieldMapping()
rv.Store = im.StoreDynamic
rv.Index = im.IndexDynamic
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rv.DocValues = im.DocValuesDynamic
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return rv
}
// NewBooleanFieldMapping returns a default field mapping for booleans
func NewBooleanFieldMapping() *FieldMapping {
return &FieldMapping{
Type: "boolean",
Store: true,
Index: true,
IncludeInAll: true,
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DocValues: true,
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}
}
func newBooleanFieldMappingDynamic(im *IndexMappingImpl) *FieldMapping {
rv := NewBooleanFieldMapping()
rv.Store = im.StoreDynamic
rv.Index = im.IndexDynamic
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rv.DocValues = im.DocValuesDynamic
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return rv
}
// NewGeoPointFieldMapping returns a default field mapping for geo points
func NewGeoPointFieldMapping() *FieldMapping {
return &FieldMapping{
Type: "geopoint",
Store: true,
Index: true,
IncludeInAll: true,
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DocValues: true,
}
}
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// Options returns the indexing options for this field.
func (fm *FieldMapping) Options() index.FieldIndexingOptions {
var rv index.FieldIndexingOptions
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if fm.Store {
rv |= index.StoreField
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}
if fm.Index {
rv |= index.IndexField
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}
if fm.IncludeTermVectors {
rv |= index.IncludeTermVectors
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}
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if fm.DocValues {
rv |= index.DocValues
}
if fm.SkipFreqNorm {
rv |= index.SkipFreqNorm
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}
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return rv
}
func (fm *FieldMapping) processString(propertyValueString string, pathString string, path []string, indexes []uint64, context *walkContext) {
fieldName := getFieldName(pathString, path, fm)
options := fm.Options()
if fm.Type == "text" {
analyzer := fm.analyzerForField(path, context)
field := document.NewTextFieldCustom(fieldName, indexes, []byte(propertyValueString), options, analyzer)
context.doc.AddField(field)
if !fm.IncludeInAll {
context.excludedFromAll = append(context.excludedFromAll, fieldName)
}
} else if fm.Type == "datetime" {
dateTimeFormat := context.im.DefaultDateTimeParser
if fm.DateFormat != "" {
dateTimeFormat = fm.DateFormat
}
dateTimeParser := context.im.DateTimeParserNamed(dateTimeFormat)
if dateTimeParser != nil {
parsedDateTime, err := dateTimeParser.ParseDateTime(propertyValueString)
if err == nil {
fm.processTime(parsedDateTime, pathString, path, indexes, context)
}
}
}
}
func (fm *FieldMapping) processFloat64(propertyValFloat float64, pathString string, path []string, indexes []uint64, context *walkContext) {
fieldName := getFieldName(pathString, path, fm)
if fm.Type == "number" {
options := fm.Options()
field := document.NewNumericFieldWithIndexingOptions(fieldName, indexes, propertyValFloat, options)
context.doc.AddField(field)
if !fm.IncludeInAll {
context.excludedFromAll = append(context.excludedFromAll, fieldName)
}
}
}
func (fm *FieldMapping) processTime(propertyValueTime time.Time, pathString string, path []string, indexes []uint64, context *walkContext) {
fieldName := getFieldName(pathString, path, fm)
if fm.Type == "datetime" {
options := fm.Options()
field, err := document.NewDateTimeFieldWithIndexingOptions(fieldName, indexes, propertyValueTime, options)
if err == nil {
context.doc.AddField(field)
} else {
logger.Printf("could not build date %v", err)
}
if !fm.IncludeInAll {
context.excludedFromAll = append(context.excludedFromAll, fieldName)
}
}
}
func (fm *FieldMapping) processBoolean(propertyValueBool bool, pathString string, path []string, indexes []uint64, context *walkContext) {
fieldName := getFieldName(pathString, path, fm)
if fm.Type == "boolean" {
options := fm.Options()
field := document.NewBooleanFieldWithIndexingOptions(fieldName, indexes, propertyValueBool, options)
context.doc.AddField(field)
if !fm.IncludeInAll {
context.excludedFromAll = append(context.excludedFromAll, fieldName)
}
}
}
func (fm *FieldMapping) processGeoPoint(propertyMightBeGeoPoint interface{}, pathString string, path []string, indexes []uint64, context *walkContext) {
lon, lat, found := geo.ExtractGeoPoint(propertyMightBeGeoPoint)
if found {
fieldName := getFieldName(pathString, path, fm)
options := fm.Options()
field := document.NewGeoPointFieldWithIndexingOptions(fieldName, indexes, lon, lat, options)
context.doc.AddField(field)
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if !fm.IncludeInAll {
context.excludedFromAll = append(context.excludedFromAll, fieldName)
}
}
}
func (fm *FieldMapping) analyzerForField(path []string, context *walkContext) *analysis.Analyzer {
analyzerName := fm.Analyzer
if analyzerName == "" {
analyzerName = context.dm.defaultAnalyzerName(path)
if analyzerName == "" {
analyzerName = context.im.DefaultAnalyzer
}
}
return context.im.AnalyzerNamed(analyzerName)
}
func getFieldName(pathString string, path []string, fieldMapping *FieldMapping) string {
fieldName := pathString
if fieldMapping.Name != "" {
parentName := ""
if len(path) > 1 {
parentName = encodePath(path[:len(path)-1]) + pathSeparator
}
fieldName = parentName + fieldMapping.Name
}
return fieldName
}
// UnmarshalJSON offers custom unmarshaling with optional strict validation
func (fm *FieldMapping) UnmarshalJSON(data []byte) error {
var tmp map[string]json.RawMessage
err := json.Unmarshal(data, &tmp)
if err != nil {
return err
}
var invalidKeys []string
for k, v := range tmp {
switch k {
case "name":
err := json.Unmarshal(v, &fm.Name)
if err != nil {
return err
}
case "type":
err := json.Unmarshal(v, &fm.Type)
if err != nil {
return err
}
case "analyzer":
err := json.Unmarshal(v, &fm.Analyzer)
if err != nil {
return err
}
case "store":
err := json.Unmarshal(v, &fm.Store)
if err != nil {
return err
}
case "index":
err := json.Unmarshal(v, &fm.Index)
if err != nil {
return err
}
case "include_term_vectors":
err := json.Unmarshal(v, &fm.IncludeTermVectors)
if err != nil {
return err
}
case "include_in_all":
err := json.Unmarshal(v, &fm.IncludeInAll)
if err != nil {
return err
}
case "date_format":
err := json.Unmarshal(v, &fm.DateFormat)
if err != nil {
return err
}
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case "docvalues":
err := json.Unmarshal(v, &fm.DocValues)
if err != nil {
return err
}
case "skip_freq_norm":
err := json.Unmarshal(v, &fm.SkipFreqNorm)
if err != nil {
return err
}
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default:
invalidKeys = append(invalidKeys, k)
}
}
if MappingJSONStrict && len(invalidKeys) > 0 {
return fmt.Errorf("field mapping contains invalid keys: %v", invalidKeys)
}
return nil
}