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engine_test.go
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engine_test.go
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package riot
import (
"encoding/gob"
"fmt"
"log"
"os"
"reflect"
"testing"
"github.com/go-ego/riot/types"
"github.com/go-ego/riot/utils"
)
type ScoringFields struct {
A, B, C float32
}
func AddDocs(engine *Engine) {
docId := uint64(1)
engine.IndexDoc(docId, types.DocIndexData{
Content: "中国有十三亿人口人口",
Fields: ScoringFields{1, 2, 3},
})
docId++
engine.IndexDoc(docId, types.DocIndexData{
Content: "中国人口",
Fields: nil,
})
docId++
engine.IndexDoc(docId, types.DocIndexData{
Content: "有人口",
Fields: ScoringFields{2, 3, 1},
})
docId++
engine.IndexDoc(docId, types.DocIndexData{
Content: "有十三亿人口",
Fields: ScoringFields{2, 3, 3},
})
docId++
engine.IndexDoc(docId, types.DocIndexData{
Content: "中国十三亿人口",
Fields: ScoringFields{0, 9, 1},
})
engine.FlushIndex()
}
func addDocsWithLabels(engine *Engine) {
docId := uint64(1)
engine.IndexDoc(docId, types.DocIndexData{
Content: "此次百度收购将成中国互联网最大并购",
Labels: []string{"百度", "中国"},
})
docId++
engine.IndexDoc(docId, types.DocIndexData{
Content: "百度宣布拟全资收购91无线业务",
Labels: []string{"百度"},
})
docId++
engine.IndexDoc(docId, types.DocIndexData{
Content: "百度是中国最大的搜索引擎",
Labels: []string{"百度"},
})
docId++
engine.IndexDoc(docId, types.DocIndexData{
Content: "百度在研制无人汽车",
Labels: []string{"百度"},
})
docId++
engine.IndexDoc(docId, types.DocIndexData{
Content: "BAT是中国互联网三巨头",
Labels: []string{"百度"},
})
engine.FlushIndex()
}
type RankByTokenProximity struct {
}
func (rule RankByTokenProximity) Score(
doc types.IndexedDoc, fields interface{}) []float32 {
if doc.TokenProximity < 0 {
return []float32{}
}
return []float32{1.0 / (float32(doc.TokenProximity) + 1)}
}
func TestGetVer(t *testing.T) {
ver := GetVersion()
utils.Expect(t, version, ver)
}
func TestTry(t *testing.T) {
var arr []int
Try(func() {
fmt.Println(arr[2])
}, func(err interface{}) {
log.Println("err", err)
utils.Expect(t, "runtime error: index out of range", err)
})
}
func TestEngineIndexDoc(t *testing.T) {
var engine Engine
engine.Init(types.EngineOpts{
Using: 1,
SegmenterDict: "./testdata/test_dict.txt",
DefaultRankOpts: &types.RankOpts{
OutputOffset: 0,
MaxOutputs: 10,
ScoringCriteria: &RankByTokenProximity{},
},
IndexerOpts: &types.IndexerOpts{
IndexType: types.LocsIndex,
},
})
AddDocs(&engine)
outputs := engine.Search(types.SearchReq{Text: "中国人口"})
utils.Expect(t, "2", len(outputs.Tokens))
utils.Expect(t, "中国", outputs.Tokens[0])
utils.Expect(t, "人口", outputs.Tokens[1])
outDocs := outputs.Docs.(types.ScoredDocs)
utils.Expect(t, "3", len(outDocs))
log.Println("TestEngineIndexDoc:", outDocs)
utils.Expect(t, "2", outDocs[0].DocId)
utils.Expect(t, "1000", int(outDocs[0].Scores[0]*1000))
utils.Expect(t, "[0 6]", outDocs[0].TokenSnippetLocs)
utils.Expect(t, "5", outDocs[1].DocId)
utils.Expect(t, "100", int(outDocs[1].Scores[0]*1000))
utils.Expect(t, "[0 15]", outDocs[1].TokenSnippetLocs)
utils.Expect(t, "1", outDocs[2].DocId)
utils.Expect(t, "76", int(outDocs[2].Scores[0]*1000))
utils.Expect(t, "[0 18]", outDocs[2].TokenSnippetLocs)
}
func TestReverseOrder(t *testing.T) {
var engine Engine
engine.Init(types.EngineOpts{
Using: 1,
SegmenterDict: "./testdata/test_dict.txt",
DefaultRankOpts: &types.RankOpts{
ReverseOrder: true,
OutputOffset: 0,
MaxOutputs: 10,
ScoringCriteria: &RankByTokenProximity{},
},
IndexerOpts: &types.IndexerOpts{
IndexType: types.LocsIndex,
},
})
AddDocs(&engine)
outputs := engine.Search(types.SearchReq{Text: "中国人口"})
outDocs := outputs.Docs.(types.ScoredDocs)
utils.Expect(t, "3", len(outDocs))
utils.Expect(t, "1", outDocs[0].DocId)
utils.Expect(t, "5", outDocs[1].DocId)
utils.Expect(t, "2", outDocs[2].DocId)
}
func TestOffsetAndMaxOutputs(t *testing.T) {
var engine Engine
engine.Init(types.EngineOpts{
Using: 1,
SegmenterDict: "./testdata/test_dict.txt",
DefaultRankOpts: &types.RankOpts{
ReverseOrder: true,
OutputOffset: 1,
MaxOutputs: 3,
ScoringCriteria: &RankByTokenProximity{},
},
IndexerOpts: &types.IndexerOpts{
IndexType: types.LocsIndex,
},
})
AddDocs(&engine)
outputs := engine.Search(types.SearchReq{Text: "中国人口"})
outDocs := outputs.Docs.(types.ScoredDocs)
utils.Expect(t, "2", len(outDocs))
utils.Expect(t, "5", outDocs[0].DocId)
utils.Expect(t, "2", outDocs[1].DocId)
}
type TestScoringCriteria struct {
}
func (criteria TestScoringCriteria) Score(
doc types.IndexedDoc, fields interface{}) []float32 {
if reflect.TypeOf(fields) != reflect.TypeOf(ScoringFields{}) {
return []float32{}
}
fs := fields.(ScoringFields)
return []float32{float32(doc.TokenProximity)*fs.A + fs.B*fs.C}
}
func TestSearchWithCriteria(t *testing.T) {
var engine Engine
engine.Init(types.EngineOpts{
Using: 1,
SegmenterDict: "./testdata/test_dict.txt",
DefaultRankOpts: &types.RankOpts{
ScoringCriteria: TestScoringCriteria{},
},
IndexerOpts: &types.IndexerOpts{
IndexType: types.LocsIndex,
},
})
AddDocs(&engine)
outputs := engine.Search(types.SearchReq{Text: "中国人口"})
outDocs := outputs.Docs.(types.ScoredDocs)
utils.Expect(t, "2", len(outDocs))
log.Println(outDocs)
utils.Expect(t, "1", outDocs[0].DocId)
utils.Expect(t, "18000", int(outDocs[0].Scores[0]*1000))
utils.Expect(t, "5", outDocs[1].DocId)
utils.Expect(t, "9000", int(outDocs[1].Scores[0]*1000))
}
func TestCompactIndex(t *testing.T) {
var engine Engine
engine.Init(types.EngineOpts{
Using: 1,
SegmenterDict: "./testdata/test_dict.txt",
DefaultRankOpts: &types.RankOpts{
ScoringCriteria: TestScoringCriteria{},
},
})
AddDocs(&engine)
outputs := engine.Search(types.SearchReq{Text: "中国人口"})
outDocs := outputs.Docs.(types.ScoredDocs)
utils.Expect(t, "2", len(outDocs))
utils.Expect(t, "5", outDocs[0].DocId)
utils.Expect(t, "9000", int(outDocs[0].Scores[0]*1000))
utils.Expect(t, "1", outDocs[1].DocId)
utils.Expect(t, "6000", int(outDocs[1].Scores[0]*1000))
}
type BM25ScoringCriteria struct {
}
func (criteria BM25ScoringCriteria) Score(
doc types.IndexedDoc, fields interface{}) []float32 {
if reflect.TypeOf(fields) != reflect.TypeOf(ScoringFields{}) {
return []float32{}
}
return []float32{doc.BM25}
}
func TestFrequenciesIndex(t *testing.T) {
var engine Engine
engine.Init(types.EngineOpts{
Using: 1,
SegmenterDict: "./testdata/test_dict.txt",
DefaultRankOpts: &types.RankOpts{
ScoringCriteria: BM25ScoringCriteria{},
},
IndexerOpts: &types.IndexerOpts{
IndexType: types.FrequenciesIndex,
},
})
AddDocs(&engine)
outputs := engine.Search(types.SearchReq{Text: "中国人口"})
outDocs := outputs.Docs.(types.ScoredDocs)
utils.Expect(t, "2", len(outDocs))
utils.Expect(t, "1", outDocs[0].DocId)
utils.Expect(t, "2500", int(outDocs[0].Scores[0]*1000))
utils.Expect(t, "5", outDocs[1].DocId)
utils.Expect(t, "1818", int(outDocs[1].Scores[0]*1000))
}
func TestRemoveDoc(t *testing.T) {
var engine Engine
engine.Init(types.EngineOpts{
Using: 1,
SegmenterDict: "./testdata/test_dict.txt",
DefaultRankOpts: &types.RankOpts{
ScoringCriteria: TestScoringCriteria{},
},
})
AddDocs(&engine)
engine.RemoveDoc(5)
engine.RemoveDoc(6)
engine.FlushIndex()
engine.IndexDoc(6, types.DocIndexData{
Content: "中国人口有十三亿",
Fields: ScoringFields{0, 9, 1},
})
engine.FlushIndex()
outputs := engine.Search(types.SearchReq{Text: "中国人口"})
outDocs := outputs.Docs.(types.ScoredDocs)
utils.Expect(t, "2", len(outDocs))
utils.Expect(t, "6", outDocs[0].DocId)
utils.Expect(t, "9000", int(outDocs[0].Scores[0]*1000))
utils.Expect(t, "1", outDocs[1].DocId)
utils.Expect(t, "6000", int(outDocs[1].Scores[0]*1000))
}
func TestEngineIndexDocWithTokens(t *testing.T) {
var engine Engine
engine.Init(types.EngineOpts{
Using: 1,
SegmenterDict: "./testdata/test_dict.txt",
DefaultRankOpts: &types.RankOpts{
OutputOffset: 0,
MaxOutputs: 10,
ScoringCriteria: &RankByTokenProximity{},
},
IndexerOpts: &types.IndexerOpts{
IndexType: types.LocsIndex,
},
})
docId := uint64(1)
engine.IndexDoc(docId, types.DocIndexData{
Content: "",
Tokens: []types.TokenData{
{"中国", []int{0}},
{"人口", []int{18, 24}},
},
Fields: ScoringFields{1, 2, 3},
})
docId++
engine.IndexDoc(docId, types.DocIndexData{
Content: "",
Tokens: []types.TokenData{
{"中国", []int{0}},
{"人口", []int{6}},
},
Fields: ScoringFields{1, 2, 3},
})
docId++
engine.IndexDoc(docId, types.DocIndexData{
Content: "中国十三亿人口",
Fields: ScoringFields{0, 9, 1},
})
engine.FlushIndex()
outputs := engine.Search(types.SearchReq{Text: "中国人口"})
log.Println("TestEngineIndexDocWithTokens", outputs)
utils.Expect(t, "2", len(outputs.Tokens))
utils.Expect(t, "中国", outputs.Tokens[0])
utils.Expect(t, "人口", outputs.Tokens[1])
outDocs := outputs.Docs.(types.ScoredDocs)
utils.Expect(t, "3", len(outDocs))
utils.Expect(t, "2", outDocs[0].DocId)
utils.Expect(t, "1000", int(outDocs[0].Scores[0]*1000))
utils.Expect(t, "[0 6]", outDocs[0].TokenSnippetLocs)
utils.Expect(t, "3", outDocs[1].DocId)
utils.Expect(t, "100", int(outDocs[1].Scores[0]*1000))
utils.Expect(t, "[0 15]", outDocs[1].TokenSnippetLocs)
utils.Expect(t, "1", outDocs[2].DocId)
utils.Expect(t, "76", int(outDocs[2].Scores[0]*1000))
utils.Expect(t, "[0 18]", outDocs[2].TokenSnippetLocs)
}
func TestEngineIndexDocWithContentAndLabels(t *testing.T) {
var engine1, engine2 Engine
engine1.Init(types.EngineOpts{
SegmenterDict: "./data/dict/dictionary.txt",
IndexerOpts: &types.IndexerOpts{
IndexType: types.LocsIndex,
},
})
engine2.Init(types.EngineOpts{
SegmenterDict: "./data/dict/dictionary.txt",
IndexerOpts: &types.IndexerOpts{
IndexType: types.DocIdsIndex,
},
})
addDocsWithLabels(&engine1)
addDocsWithLabels(&engine2)
outputs1 := engine1.Search(types.SearchReq{Text: "百度"})
outputs2 := engine2.Search(types.SearchReq{Text: "百度"})
utils.Expect(t, "1", len(outputs1.Tokens))
utils.Expect(t, "1", len(outputs2.Tokens))
utils.Expect(t, "百度", outputs1.Tokens[0])
utils.Expect(t, "百度", outputs2.Tokens[0])
outDocs := outputs1.Docs.(types.ScoredDocs)
utils.Expect(t, "5", len(outDocs))
utils.Expect(t, "5", len(outputs2.Docs.(types.ScoredDocs)))
}
func TestIndexDocWithLabelsStopTokenFile(t *testing.T) {
var engine1 Engine
engine1.Init(types.EngineOpts{
SegmenterDict: "./data/dict/dictionary.txt",
StopTokenFile: "./testdata/test_stop_dict.txt",
IndexerOpts: &types.IndexerOpts{
IndexType: types.LocsIndex,
},
})
addDocsWithLabels(&engine1)
outputs1 := engine1.Search(types.SearchReq{Text: "百度"})
utils.Expect(t, "0", len(outputs1.Tokens))
// utils.Expect(t, "百度", outputs1.Tokens[0])
outDocs := outputs1.Docs.(types.ScoredDocs)
utils.Expect(t, "0", len(outDocs))
}
func TestEngineIndexDocWithPersistentStorage(t *testing.T) {
gob.Register(ScoringFields{})
var engine Engine
engine.Init(types.EngineOpts{
Using: 1,
SegmenterDict: "./testdata/test_dict.txt",
DefaultRankOpts: &types.RankOpts{
OutputOffset: 0,
MaxOutputs: 10,
ScoringCriteria: &RankByTokenProximity{},
},
IndexerOpts: &types.IndexerOpts{
IndexType: types.LocsIndex,
},
UseStorage: true,
StorageFolder: "riot.persistent",
StorageShards: 2,
})
AddDocs(&engine)
engine.RemoveDoc(5, true)
engine.Close()
var engine1 Engine
engine1.Init(types.EngineOpts{
Using: 1,
SegmenterDict: "./testdata/test_dict.txt",
DefaultRankOpts: &types.RankOpts{
OutputOffset: 0,
MaxOutputs: 10,
ScoringCriteria: &RankByTokenProximity{},
},
IndexerOpts: &types.IndexerOpts{
IndexType: types.LocsIndex,
},
UseStorage: true,
StorageFolder: "riot.persistent",
StorageShards: 2,
})
engine1.FlushIndex()
outputs := engine1.Search(types.SearchReq{Text: "中国人口"})
utils.Expect(t, "2", len(outputs.Tokens))
utils.Expect(t, "中国", outputs.Tokens[0])
utils.Expect(t, "人口", outputs.Tokens[1])
outDocs := outputs.Docs.(types.ScoredDocs)
utils.Expect(t, "2", len(outDocs))
utils.Expect(t, "2", outDocs[0].DocId)
utils.Expect(t, "1000", int(outDocs[0].Scores[0]*1000))
utils.Expect(t, "[0 6]", outDocs[0].TokenSnippetLocs)
utils.Expect(t, "1", outDocs[1].DocId)
utils.Expect(t, "76", int(outDocs[1].Scores[0]*1000))
utils.Expect(t, "[0 18]", outDocs[1].TokenSnippetLocs)
engine1.Close()
os.RemoveAll("riot.persistent")
}
func TestEngineIndexDocWithNewStorage(t *testing.T) {
gob.Register(ScoringFields{})
var engine = New("./testdata/test_dict.txt")
log.Println("engine.............")
// engine = engine.New()
AddDocs(engine)
engine.RemoveDoc(5, true)
engine.Close()
var engine1 = New("./testdata/test_dict.txt")
// engine1 = engine1.New()
log.Println("test")
engine1.FlushIndex()
log.Println("engine1.............")
outputs := engine1.Search(types.SearchReq{Text: "中国人口"})
utils.Expect(t, "2", len(outputs.Tokens))
utils.Expect(t, "中国", outputs.Tokens[0])
utils.Expect(t, "人口", outputs.Tokens[1])
outDocs := outputs.Docs.(types.ScoredDocs)
utils.Expect(t, "2", len(outDocs))
// utils.Expect(t, "2", outDocs[0].DocId)
utils.Expect(t, "0", int(outDocs[0].Scores[0]*1000))
utils.Expect(t, "[]", outDocs[0].TokenSnippetLocs)
// utils.Expect(t, "1", outDocs[1].DocId)
utils.Expect(t, "0", int(outDocs[1].Scores[0]*1000))
utils.Expect(t, "[]", outDocs[1].TokenSnippetLocs)
engine1.Close()
os.RemoveAll("riot-index")
}
func TestCountDocsOnly(t *testing.T) {
var engine Engine
engine.Init(types.EngineOpts{
Using: 1,
SegmenterDict: "./testdata/test_dict.txt",
DefaultRankOpts: &types.RankOpts{
ReverseOrder: true,
OutputOffset: 0,
MaxOutputs: 1,
ScoringCriteria: &RankByTokenProximity{},
},
IndexerOpts: &types.IndexerOpts{
IndexType: types.LocsIndex,
},
})
AddDocs(&engine)
engine.RemoveDoc(5)
engine.FlushIndex()
outputs := engine.Search(types.SearchReq{Text: "中国人口",
CountDocsOnly: true})
// utils.Expect(t, "0", len(outputs.Docs))
if outputs.Docs == nil {
utils.Expect(t, "0", 0)
}
utils.Expect(t, "2", len(outputs.Tokens))
utils.Expect(t, "2", outputs.NumDocs)
}
func TestDocOrderless(t *testing.T) {
var engine, engine1 Engine
engine.Init(types.EngineOpts{
Using: 1,
SegmenterDict: "./testdata/test_dict.txt",
})
AddDocs(&engine)
engine.RemoveDoc(5)
engine.FlushIndex()
outputs := engine.Search(types.SearchReq{Text: "中国人口",
Orderless: true})
// utils.Expect(t, "0", len(outputs.Docs))
if outputs.Docs == nil {
utils.Expect(t, "0", 0)
}
utils.Expect(t, "2", len(outputs.Tokens))
utils.Expect(t, "2", outputs.NumDocs)
engine1.Init(types.EngineOpts{
Using: 1,
IDOnly: true,
SegmenterDict: "./testdata/test_dict.txt",
})
AddDocs(&engine1)
engine1.RemoveDoc(5)
engine1.FlushIndex()
outputs1 := engine1.Search(types.SearchReq{Text: "中国人口",
Orderless: true})
if outputs1.Docs == nil {
utils.Expect(t, "0", 0)
}
utils.Expect(t, "2", len(outputs1.Tokens))
utils.Expect(t, "2", outputs1.NumDocs)
}
func TestDocOnlyID(t *testing.T) {
var engine Engine
engine.Init(types.EngineOpts{
Using: 1,
IDOnly: true,
SegmenterDict: "./testdata/test_dict.txt",
DefaultRankOpts: &types.RankOpts{
ReverseOrder: true,
OutputOffset: 0,
MaxOutputs: 1,
ScoringCriteria: &RankByTokenProximity{},
},
IndexerOpts: &types.IndexerOpts{
IndexType: types.LocsIndex,
},
})
AddDocs(&engine)
engine.RemoveDoc(5)
engine.FlushIndex()
docIds := make(map[uint64]bool)
docIds[5] = true
docIds[1] = true
outputs := engine.Search(types.SearchReq{
Text: "中国人口",
DocIds: docIds})
if outputs.Docs != nil {
outDocs := outputs.Docs.(types.ScoredIDs)
utils.Expect(t, "1", len(outDocs))
}
utils.Expect(t, "2", len(outputs.Tokens))
utils.Expect(t, "1", outputs.NumDocs)
}
func TestDocRank(t *testing.T) {
var engine Engine
rankOpts := types.RankOpts{
ReverseOrder: true,
OutputOffset: 0,
MaxOutputs: 1,
ScoringCriteria: &RankByTokenProximity{},
}
engine.Init(types.EngineOpts{
Using: 1,
IDOnly: true,
SegmenterDict: "./testdata/test_dict.txt",
DefaultRankOpts: &rankOpts,
IndexerOpts: &types.IndexerOpts{
IndexType: types.LocsIndex,
},
})
AddDocs(&engine)
engine.RemoveDoc(5)
engine.FlushIndex()
docIds := make(map[uint64]bool)
docIds[5] = true
docIds[1] = true
request := types.SearchReq{
Text: "中国人口",
DocIds: docIds}
tokens := engine.Tokens(request)
// 建立排序器返回的通信通道
rankerReturnChan := make(
chan rankerReturnReq, engine.initOptions.NumShards)
// 生成查找请求
lookupRequest := indexerLookupReq{
countDocsOnly: request.CountDocsOnly,
tokens: tokens,
labels: request.Labels,
docIds: request.DocIds,
options: rankOpts,
rankerReturnChan: rankerReturnChan,
orderless: request.Orderless,
logic: request.Logic,
}
// 向索引器发送查找请求
for shard := 0; shard < engine.initOptions.NumShards; shard++ {
engine.indexerLookupChans[shard] <- lookupRequest
}
outputs := engine.Rank(request, rankOpts, tokens, rankerReturnChan)
if outputs.Docs != nil {
outDocs := outputs.Docs.(types.ScoredIDs)
utils.Expect(t, "1", len(outDocs))
}
utils.Expect(t, "2", len(outputs.Tokens))
utils.Expect(t, "1", outputs.NumDocs)
}
func TestDocRanks(t *testing.T) {
var engine Engine
rankOpts := types.RankOpts{
ReverseOrder: true,
OutputOffset: 0,
MaxOutputs: 1,
ScoringCriteria: &RankByTokenProximity{},
}
engine.Init(types.EngineOpts{
Using: 1,
SegmenterDict: "./testdata/test_dict.txt",
DefaultRankOpts: &rankOpts,
IndexerOpts: &types.IndexerOpts{
IndexType: types.LocsIndex,
},
})
AddDocs(&engine)
engine.RemoveDoc(5)
engine.FlushIndex()
docIds := make(map[uint64]bool)
docIds[5] = true
docIds[1] = true
request := types.SearchReq{
Text: "中国人口",
DocIds: docIds}
tokens := engine.Tokens(request)
// 建立排序器返回的通信通道
rankerReturnChan := make(
chan rankerReturnReq, engine.initOptions.NumShards)
// 生成查找请求
lookupRequest := indexerLookupReq{
countDocsOnly: request.CountDocsOnly,
tokens: tokens,
labels: request.Labels,
docIds: request.DocIds,
options: rankOpts,
rankerReturnChan: rankerReturnChan,
orderless: request.Orderless,
logic: request.Logic,
}
// 向索引器发送查找请求
for shard := 0; shard < engine.initOptions.NumShards; shard++ {
engine.indexerLookupChans[shard] <- lookupRequest
}
outputs := engine.Ranks(request, rankOpts, tokens, rankerReturnChan)
if outputs.Docs != nil {
outDocs := outputs.Docs.(types.ScoredDocs)
utils.Expect(t, "1", len(outDocs))
}
utils.Expect(t, "2", len(outputs.Tokens))
utils.Expect(t, "1", outputs.NumDocs)
}
func TestSearchWithin(t *testing.T) {
var engine Engine
engine.Init(types.EngineOpts{
Using: 1,
SegmenterDict: "./testdata/test_dict.txt",
DefaultRankOpts: &types.RankOpts{
ReverseOrder: true,
OutputOffset: 0,
MaxOutputs: 10,
ScoringCriteria: &RankByTokenProximity{},
},
IndexerOpts: &types.IndexerOpts{
IndexType: types.LocsIndex,
},
})
AddDocs(&engine)
docIds := make(map[uint64]bool)
docIds[5] = true
docIds[1] = true
outputs := engine.Search(types.SearchReq{
Text: "中国人口",
DocIds: docIds,
})
utils.Expect(t, "2", len(outputs.Tokens))
utils.Expect(t, "中国", outputs.Tokens[0])
utils.Expect(t, "人口", outputs.Tokens[1])
outDocs := outputs.Docs.(types.ScoredDocs)
utils.Expect(t, "2", len(outDocs))
utils.Expect(t, "1", outDocs[0].DocId)
utils.Expect(t, "76", int(outDocs[0].Scores[0]*1000))
utils.Expect(t, "[0 18]", outDocs[0].TokenSnippetLocs)
utils.Expect(t, "5", outDocs[1].DocId)
utils.Expect(t, "100", int(outDocs[1].Scores[0]*1000))
utils.Expect(t, "[0 15]", outDocs[1].TokenSnippetLocs)
}
func TestSearchJp(t *testing.T) {
var engine Engine
engine.Init(types.EngineOpts{
Using: 1,
SegmenterDict: "./testdata/test_dict_jp.txt",
DefaultRankOpts: &types.RankOpts{
ReverseOrder: true,
OutputOffset: 0,
MaxOutputs: 10,
ScoringCriteria: &RankByTokenProximity{},
},
IndexerOpts: &types.IndexerOpts{
IndexType: types.LocsIndex,
},
})
AddDocs(&engine)
engine.IndexDoc(6, types.DocIndexData{
Content: "こんにちは世界, こんにちは",
Fields: ScoringFields{1, 2, 3},
})
engine.FlushIndex()
docIds := make(map[uint64]bool)
docIds[5] = true
docIds[1] = true
docIds[6] = true
outputs := engine.Search(types.SearchReq{
Text: "こんにちは世界",
DocIds: docIds,
})
utils.Expect(t, "2", len(outputs.Tokens))
utils.Expect(t, "こんにちは", outputs.Tokens[0])
utils.Expect(t, "世界", outputs.Tokens[1])
outDocs := outputs.Docs.(types.ScoredDocs)
log.Println("outputs docs...", outDocs)
utils.Expect(t, "1", len(outDocs))
utils.Expect(t, "6", outDocs[0].DocId)
utils.Expect(t, "1000", int(outDocs[0].Scores[0]*1000))
utils.Expect(t, "[0 15]", outDocs[0].TokenSnippetLocs)
}
func TestSearchGse(t *testing.T) {
var engine Engine
engine.Init(types.EngineOpts{
// Using: 1,
SegmenterDict: "./testdata/test_dict_jp.txt",
DefaultRankOpts: &types.RankOpts{
ReverseOrder: true,
OutputOffset: 0,
MaxOutputs: 10,
ScoringCriteria: &RankByTokenProximity{},
},
IndexerOpts: &types.IndexerOpts{
IndexType: types.LocsIndex,
},
})
AddDocs(&engine)
engine.IndexDoc(6, types.DocIndexData{
Content: "こんにちは世界, こんにちは",
Fields: ScoringFields{1, 2, 3},
})
tokenData := types.TokenData{Text: "こんにちは"}
tokenDatas := []types.TokenData{tokenData}
engine.IndexDoc(7, types.DocIndexData{
Content: "你好世界, hello world!",
Tokens: tokenDatas,
Fields: ScoringFields{1, 2, 3},
})
engine.FlushIndex()
docIds := make(map[uint64]bool)
docIds[5] = true
docIds[1] = true
docIds[6] = true
docIds[7] = true
outputs := engine.Search(types.SearchReq{
Text: "こんにちは世界",
DocIds: docIds,
})
utils.Expect(t, "2", len(outputs.Tokens))
utils.Expect(t, "こんにちは", outputs.Tokens[0])
utils.Expect(t, "世界", outputs.Tokens[1])
outDocs := outputs.Docs.(types.ScoredDocs)
log.Println("outputs docs...", outDocs)
utils.Expect(t, "2", len(outDocs))
utils.Expect(t, "7", outDocs[0].DocId)
utils.Expect(t, "1000", int(outDocs[0].Scores[0]*1000))
utils.Expect(t, "[]", outDocs[0].TokenSnippetLocs)
utils.Expect(t, "6", outDocs[1].DocId)
utils.Expect(t, "1000", int(outDocs[1].Scores[0]*1000))
utils.Expect(t, "[0 15]", outDocs[1].TokenSnippetLocs)
}
func TestSearchNotUseGse(t *testing.T) {
var engine Engine
engine.Init(types.EngineOpts{
Using: 4,
NotUsingGse: true,
})
AddDocs(&engine)
engine.IndexDoc(6, types.DocIndexData{
Content: "Google Is Experimenting With Virtual Reality Advertising",
Fields: ScoringFields{1, 2, 3},
})
engine.FlushIndex()
docIds := make(map[uint64]bool)
docIds[5] = true
docIds[1] = true
docIds[6] = true
outputs := engine.Search(types.SearchReq{
Text: "google is",
DocIds: docIds,
})
utils.Expect(t, "2", len(outputs.Tokens))
utils.Expect(t, "google", outputs.Tokens[0])
utils.Expect(t, "is", outputs.Tokens[1])
outDocs := outputs.Docs.(types.ScoredDocs)
log.Println("outputs docs...", outDocs)
utils.Expect(t, "1", len(outDocs))
utils.Expect(t, "6", outDocs[0].DocId)
utils.Expect(t, "3200", int(outDocs[0].Scores[0]*1000))
utils.Expect(t, "[]", outDocs[0].TokenSnippetLocs)
}
func TestSearchLogic(t *testing.T) {
var engine Engine
engine.Init(types.EngineOpts{
SegmenterDict: "./testdata/test_dict_jp.txt",
DefaultRankOpts: &types.RankOpts{
ReverseOrder: true,
OutputOffset: 0,
MaxOutputs: 10,
ScoringCriteria: &RankByTokenProximity{},
},
IndexerOpts: &types.IndexerOpts{
IndexType: types.LocsIndex,
},
})
AddDocs(&engine)
engine.IndexDoc(6, types.DocIndexData{
Content: "こんにちは世界, こんにちは",
Fields: ScoringFields{1, 2, 3},
})
tokenData := types.TokenData{Text: "こんにちは"}
tokenDatas := []types.TokenData{tokenData}
engine.IndexDoc(7, types.DocIndexData{
Content: "你好世界, hello world!",
Tokens: tokenDatas,
Fields: ScoringFields{1, 2, 3},
})
engine.IndexDoc(8, types.DocIndexData{
Content: "你好世界, hello world!",
Fields: ScoringFields{1, 2, 3},
})
engine.IndexDoc(9, types.DocIndexData{
Content: "你好世界, hello!",
Fields: ScoringFields{1, 2, 3},
})
engine.FlushIndex()
docIds := make(map[uint64]bool)
for index := 0; index < 10; index++ {
docIds[uint64(index)] = true
}