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docstub_test.go
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docstub_test.go
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// Copyright (c) 2020 The Bluge Authors.
//
// 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 ice
import (
"strings"
segment "github.com/blugelabs/bluge_segment_api"
)
type FakeDocument []*FakeField
func (f *FakeDocument) FakeComposite(name string, exclude []string) {
nff := &FakeField{
N: name,
}
// walk all the fields and build new map of all included data
reduced := make(map[string][]*FakeLocation)
reducedNolocs := make(map[string]int)
f.EachField(func(field segment.Field) {
// if we should skip this field return
for _, excluded := range exclude {
if field.Name() == excluded {
return
}
}
// for each term/location record entry
// making copy of location, because we set F
field.EachTerm(func(term segment.FieldTerm) {
var numLocs = 0
term.EachLocation(func(location segment.Location) {
locCopy := &FakeLocation{
F: field.Name(),
P: location.Pos(),
S: location.Start(),
E: location.End(),
}
reduced[string(term.Term())] = append(reduced[string(term.Term())], locCopy)
numLocs++
})
if numLocs == 0 {
reducedNolocs[string(term.Term())] = reducedNolocs[string(term.Term())] + term.Frequency()
}
})
})
// walk the reduced term info across all fields and build the field
for term, locations := range reduced {
ft := &FakeTerm{
T: term,
F: len(locations),
L: locations,
}
nff.T = append(nff.T, ft)
}
for term, freq := range reducedNolocs {
ft := &FakeTerm{
T: term,
F: freq,
}
nff.T = append(nff.T, ft)
}
// add it to ourself
*f = append(*f, nff)
}
func (f *FakeDocument) Analyze() {
}
func (f *FakeDocument) Len() int {
return len(*f)
}
func (f *FakeDocument) EachField(vf segment.VisitField) {
for _, ff := range *f {
vf(ff)
}
}
type FakeField struct {
N string
T []*FakeTerm
V []byte
S bool
DV bool
}
func NewFakeField(name, data string, store, termVec, docVals bool) *FakeField {
rv := &FakeField{
N: name,
V: []byte(data),
S: store,
DV: docVals,
}
// fake tokenize (split on space)
terms := strings.Split(data, " ")
// fake reducing repeated terms
reduced := make(map[string][]*FakeLocation)
var offset int
for i, term := range terms {
fl := &FakeLocation{
F: "",
P: i + 1,
S: offset,
E: offset + len(term),
}
offset += len(term) + 1
reduced[term] = append(reduced[term], fl)
}
// build term list
for term, locations := range reduced {
ft := &FakeTerm{
T: term,
F: len(locations),
}
if termVec {
ft.L = locations
}
rv.T = append(rv.T, ft)
}
return rv
}
func (f *FakeField) Name() string {
return f.N
}
func (f *FakeField) Length() int {
return len(f.T)
}
func (f *FakeField) EachTerm(vt segment.VisitTerm) {
for _, t := range f.T {
vt(t)
}
}
func (f *FakeField) Value() []byte {
return f.V
}
func (f *FakeField) Store() bool {
return f.S
}
func (f *FakeField) Index() bool {
return true
}
func (f *FakeField) IndexDocValues() bool {
return f.DV
}
type FakeTerm struct {
T string
F int
L []*FakeLocation
}
func (f *FakeTerm) Term() []byte {
return []byte(f.T)
}
func (f *FakeTerm) Frequency() int {
return f.F
}
func (f *FakeTerm) EachLocation(vl segment.VisitLocation) {
for _, l := range f.L {
vl(l)
}
}
type FakeLocation struct {
F string
P int
S int
E int
}
func (f *FakeLocation) Field() string { return f.F }
func (f *FakeLocation) Pos() int { return f.P }
func (f *FakeLocation) Start() int { return f.S }
func (f *FakeLocation) End() int { return f.E }
func (f *FakeLocation) Size() int { return 0 }