mirror of
https://github.com/go-gitea/gitea.git
synced 2024-12-16 02:09:18 +08:00
f5abe2f563
* Upgrade blevesearch dependency to v2.0.1 * Update rupture to v1.0.0 * Fix test
360 lines
10 KiB
Go
Vendored
360 lines
10 KiB
Go
Vendored
// Copyright (c) 2014 Couchbase, Inc.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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package mapping
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import (
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"encoding/json"
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"fmt"
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"time"
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index "github.com/blevesearch/bleve_index_api"
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"github.com/blevesearch/bleve/v2/analysis"
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"github.com/blevesearch/bleve/v2/document"
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"github.com/blevesearch/bleve/v2/geo"
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)
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// control the default behavior for dynamic fields (those not explicitly mapped)
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var (
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IndexDynamic = true
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StoreDynamic = true
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DocValuesDynamic = true // TODO revisit default?
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)
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// A FieldMapping describes how a specific item
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// should be put into the index.
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type FieldMapping struct {
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Name string `json:"name,omitempty"`
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Type string `json:"type,omitempty"`
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// Analyzer specifies the name of the analyzer to use for this field. If
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// Analyzer is empty, traverse the DocumentMapping tree toward the root and
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// pick the first non-empty DefaultAnalyzer found. If there is none, use
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// the IndexMapping.DefaultAnalyzer.
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Analyzer string `json:"analyzer,omitempty"`
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// Store indicates whether to store field values in the index. Stored
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// values can be retrieved from search results using SearchRequest.Fields.
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Store bool `json:"store,omitempty"`
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Index bool `json:"index,omitempty"`
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// IncludeTermVectors, if true, makes terms occurrences to be recorded for
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// this field. It includes the term position within the terms sequence and
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// the term offsets in the source document field. Term vectors are required
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// to perform phrase queries or terms highlighting in source documents.
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IncludeTermVectors bool `json:"include_term_vectors,omitempty"`
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IncludeInAll bool `json:"include_in_all,omitempty"`
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DateFormat string `json:"date_format,omitempty"`
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// DocValues, if true makes the index uninverting possible for this field
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// It is useful for faceting and sorting queries.
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DocValues bool `json:"docvalues,omitempty"`
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// SkipFreqNorm, if true, avoids the indexing of frequency and norm values
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// of the tokens for this field. This option would be useful for saving
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// the processing of freq/norm details when the default score based relevancy
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// isn't needed.
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SkipFreqNorm bool `json:"skip_freq_norm,omitempty"`
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}
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// NewTextFieldMapping returns a default field mapping for text
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func NewTextFieldMapping() *FieldMapping {
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return &FieldMapping{
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Type: "text",
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Store: true,
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Index: true,
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IncludeTermVectors: true,
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IncludeInAll: true,
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DocValues: true,
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}
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}
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func newTextFieldMappingDynamic(im *IndexMappingImpl) *FieldMapping {
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rv := NewTextFieldMapping()
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rv.Store = im.StoreDynamic
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rv.Index = im.IndexDynamic
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rv.DocValues = im.DocValuesDynamic
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return rv
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}
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// NewNumericFieldMapping returns a default field mapping for numbers
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func NewNumericFieldMapping() *FieldMapping {
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return &FieldMapping{
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Type: "number",
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Store: true,
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Index: true,
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IncludeInAll: true,
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DocValues: true,
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}
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}
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func newNumericFieldMappingDynamic(im *IndexMappingImpl) *FieldMapping {
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rv := NewNumericFieldMapping()
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rv.Store = im.StoreDynamic
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rv.Index = im.IndexDynamic
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rv.DocValues = im.DocValuesDynamic
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return rv
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}
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// NewDateTimeFieldMapping returns a default field mapping for dates
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func NewDateTimeFieldMapping() *FieldMapping {
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return &FieldMapping{
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Type: "datetime",
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Store: true,
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Index: true,
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IncludeInAll: true,
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DocValues: true,
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}
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}
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func newDateTimeFieldMappingDynamic(im *IndexMappingImpl) *FieldMapping {
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rv := NewDateTimeFieldMapping()
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rv.Store = im.StoreDynamic
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rv.Index = im.IndexDynamic
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rv.DocValues = im.DocValuesDynamic
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return rv
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}
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// NewBooleanFieldMapping returns a default field mapping for booleans
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func NewBooleanFieldMapping() *FieldMapping {
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return &FieldMapping{
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Type: "boolean",
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Store: true,
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Index: true,
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IncludeInAll: true,
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DocValues: true,
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}
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}
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func newBooleanFieldMappingDynamic(im *IndexMappingImpl) *FieldMapping {
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rv := NewBooleanFieldMapping()
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rv.Store = im.StoreDynamic
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rv.Index = im.IndexDynamic
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rv.DocValues = im.DocValuesDynamic
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return rv
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}
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// NewGeoPointFieldMapping returns a default field mapping for geo points
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func NewGeoPointFieldMapping() *FieldMapping {
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return &FieldMapping{
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Type: "geopoint",
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Store: true,
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Index: true,
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IncludeInAll: true,
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DocValues: true,
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}
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}
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// Options returns the indexing options for this field.
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func (fm *FieldMapping) Options() index.FieldIndexingOptions {
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var rv index.FieldIndexingOptions
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if fm.Store {
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rv |= index.StoreField
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}
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if fm.Index {
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rv |= index.IndexField
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}
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if fm.IncludeTermVectors {
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rv |= index.IncludeTermVectors
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}
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if fm.DocValues {
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rv |= index.DocValues
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}
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if fm.SkipFreqNorm {
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rv |= index.SkipFreqNorm
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}
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return rv
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}
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func (fm *FieldMapping) processString(propertyValueString string, pathString string, path []string, indexes []uint64, context *walkContext) {
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fieldName := getFieldName(pathString, path, fm)
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options := fm.Options()
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if fm.Type == "text" {
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analyzer := fm.analyzerForField(path, context)
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field := document.NewTextFieldCustom(fieldName, indexes, []byte(propertyValueString), options, analyzer)
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context.doc.AddField(field)
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if !fm.IncludeInAll {
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context.excludedFromAll = append(context.excludedFromAll, fieldName)
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}
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} else if fm.Type == "datetime" {
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dateTimeFormat := context.im.DefaultDateTimeParser
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if fm.DateFormat != "" {
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dateTimeFormat = fm.DateFormat
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}
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dateTimeParser := context.im.DateTimeParserNamed(dateTimeFormat)
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if dateTimeParser != nil {
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parsedDateTime, err := dateTimeParser.ParseDateTime(propertyValueString)
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if err == nil {
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fm.processTime(parsedDateTime, pathString, path, indexes, context)
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}
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}
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}
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}
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func (fm *FieldMapping) processFloat64(propertyValFloat float64, pathString string, path []string, indexes []uint64, context *walkContext) {
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fieldName := getFieldName(pathString, path, fm)
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if fm.Type == "number" {
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options := fm.Options()
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field := document.NewNumericFieldWithIndexingOptions(fieldName, indexes, propertyValFloat, options)
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context.doc.AddField(field)
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if !fm.IncludeInAll {
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context.excludedFromAll = append(context.excludedFromAll, fieldName)
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}
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}
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}
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func (fm *FieldMapping) processTime(propertyValueTime time.Time, pathString string, path []string, indexes []uint64, context *walkContext) {
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fieldName := getFieldName(pathString, path, fm)
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if fm.Type == "datetime" {
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options := fm.Options()
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field, err := document.NewDateTimeFieldWithIndexingOptions(fieldName, indexes, propertyValueTime, options)
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if err == nil {
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context.doc.AddField(field)
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} else {
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logger.Printf("could not build date %v", err)
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}
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if !fm.IncludeInAll {
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context.excludedFromAll = append(context.excludedFromAll, fieldName)
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}
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}
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}
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func (fm *FieldMapping) processBoolean(propertyValueBool bool, pathString string, path []string, indexes []uint64, context *walkContext) {
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fieldName := getFieldName(pathString, path, fm)
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if fm.Type == "boolean" {
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options := fm.Options()
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field := document.NewBooleanFieldWithIndexingOptions(fieldName, indexes, propertyValueBool, options)
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context.doc.AddField(field)
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if !fm.IncludeInAll {
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context.excludedFromAll = append(context.excludedFromAll, fieldName)
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}
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}
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}
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func (fm *FieldMapping) processGeoPoint(propertyMightBeGeoPoint interface{}, pathString string, path []string, indexes []uint64, context *walkContext) {
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lon, lat, found := geo.ExtractGeoPoint(propertyMightBeGeoPoint)
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if found {
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fieldName := getFieldName(pathString, path, fm)
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options := fm.Options()
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field := document.NewGeoPointFieldWithIndexingOptions(fieldName, indexes, lon, lat, options)
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context.doc.AddField(field)
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if !fm.IncludeInAll {
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context.excludedFromAll = append(context.excludedFromAll, fieldName)
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}
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}
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}
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func (fm *FieldMapping) analyzerForField(path []string, context *walkContext) *analysis.Analyzer {
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analyzerName := fm.Analyzer
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if analyzerName == "" {
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analyzerName = context.dm.defaultAnalyzerName(path)
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if analyzerName == "" {
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analyzerName = context.im.DefaultAnalyzer
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}
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}
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return context.im.AnalyzerNamed(analyzerName)
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}
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func getFieldName(pathString string, path []string, fieldMapping *FieldMapping) string {
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fieldName := pathString
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if fieldMapping.Name != "" {
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parentName := ""
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if len(path) > 1 {
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parentName = encodePath(path[:len(path)-1]) + pathSeparator
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}
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fieldName = parentName + fieldMapping.Name
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}
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return fieldName
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}
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// UnmarshalJSON offers custom unmarshaling with optional strict validation
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func (fm *FieldMapping) UnmarshalJSON(data []byte) error {
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var tmp map[string]json.RawMessage
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err := json.Unmarshal(data, &tmp)
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if err != nil {
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return err
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}
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var invalidKeys []string
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for k, v := range tmp {
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switch k {
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case "name":
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err := json.Unmarshal(v, &fm.Name)
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if err != nil {
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return err
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}
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case "type":
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err := json.Unmarshal(v, &fm.Type)
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if err != nil {
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return err
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}
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case "analyzer":
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err := json.Unmarshal(v, &fm.Analyzer)
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if err != nil {
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return err
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}
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case "store":
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err := json.Unmarshal(v, &fm.Store)
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if err != nil {
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return err
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}
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case "index":
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err := json.Unmarshal(v, &fm.Index)
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if err != nil {
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return err
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}
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case "include_term_vectors":
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err := json.Unmarshal(v, &fm.IncludeTermVectors)
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if err != nil {
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return err
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}
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case "include_in_all":
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err := json.Unmarshal(v, &fm.IncludeInAll)
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if err != nil {
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return err
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}
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case "date_format":
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err := json.Unmarshal(v, &fm.DateFormat)
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if err != nil {
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return err
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}
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case "docvalues":
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err := json.Unmarshal(v, &fm.DocValues)
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if err != nil {
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return err
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}
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case "skip_freq_norm":
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err := json.Unmarshal(v, &fm.SkipFreqNorm)
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if err != nil {
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return err
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}
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default:
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invalidKeys = append(invalidKeys, k)
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}
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}
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if MappingJSONStrict && len(invalidKeys) > 0 {
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return fmt.Errorf("field mapping contains invalid keys: %v", invalidKeys)
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}
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return nil
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}
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