forgejo/modules/indexer/issues/internal/tests/tests.go

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Refactor and enhance issue indexer to support both searching, filtering and paging (#26012) Fix #24662. Replace #24822 and #25708 (although it has been merged) ## Background In the past, Gitea supported issue searching with a keyword and conditions in a less efficient way. It worked by searching for issues with the keyword and obtaining limited IDs (as it is heavy to get all) on the indexer (bleve/elasticsearch/meilisearch), and then querying with conditions on the database to find a subset of the found IDs. This is why the results could be incomplete. To solve this issue, we need to store all fields that could be used as conditions in the indexer and support both keyword and additional conditions when searching with the indexer. ## Major changes - Redefine `IndexerData` to include all fields that could be used as filter conditions. - Refactor `Search(ctx context.Context, kw string, repoIDs []int64, limit, start int, state string)` to `Search(ctx context.Context, options *SearchOptions)`, so it supports more conditions now. - Change the data type stored in `issueIndexerQueue`. Use `IndexerMetadata` instead of `IndexerData` in case the data has been updated while it is in the queue. This also reduces the storage size of the queue. - Enhance searching with Bleve/Elasticsearch/Meilisearch, make them fully support `SearchOptions`. Also, update the data versions. - Keep most logic of database indexer, but remove `issues.SearchIssueIDsByKeyword` in `models` to avoid confusion where is the entry point to search issues. - Start a Meilisearch instance to test it in unit tests. - Add unit tests with almost full coverage to test Bleve/Elasticsearch/Meilisearch indexer. --------- Co-authored-by: Lunny Xiao <xiaolunwen@gmail.com>
2023-07-31 06:28:53 +00:00
// Copyright 2023 The Gitea Authors. All rights reserved.
// SPDX-License-Identifier: MIT
// This package contains tests for issues indexer modules.
// All the code in this package is only used for testing.
// Do not put any production code in this package to avoid it being included in the final binary.
package tests
import (
"context"
"fmt"
"slices"
Refactor and enhance issue indexer to support both searching, filtering and paging (#26012) Fix #24662. Replace #24822 and #25708 (although it has been merged) ## Background In the past, Gitea supported issue searching with a keyword and conditions in a less efficient way. It worked by searching for issues with the keyword and obtaining limited IDs (as it is heavy to get all) on the indexer (bleve/elasticsearch/meilisearch), and then querying with conditions on the database to find a subset of the found IDs. This is why the results could be incomplete. To solve this issue, we need to store all fields that could be used as conditions in the indexer and support both keyword and additional conditions when searching with the indexer. ## Major changes - Redefine `IndexerData` to include all fields that could be used as filter conditions. - Refactor `Search(ctx context.Context, kw string, repoIDs []int64, limit, start int, state string)` to `Search(ctx context.Context, options *SearchOptions)`, so it supports more conditions now. - Change the data type stored in `issueIndexerQueue`. Use `IndexerMetadata` instead of `IndexerData` in case the data has been updated while it is in the queue. This also reduces the storage size of the queue. - Enhance searching with Bleve/Elasticsearch/Meilisearch, make them fully support `SearchOptions`. Also, update the data versions. - Keep most logic of database indexer, but remove `issues.SearchIssueIDsByKeyword` in `models` to avoid confusion where is the entry point to search issues. - Start a Meilisearch instance to test it in unit tests. - Add unit tests with almost full coverage to test Bleve/Elasticsearch/Meilisearch indexer. --------- Co-authored-by: Lunny Xiao <xiaolunwen@gmail.com>
2023-07-31 06:28:53 +00:00
"testing"
"time"
"code.gitea.io/gitea/models/db"
"code.gitea.io/gitea/modules/indexer/issues/internal"
"code.gitea.io/gitea/modules/optional"
Refactor and enhance issue indexer to support both searching, filtering and paging (#26012) Fix #24662. Replace #24822 and #25708 (although it has been merged) ## Background In the past, Gitea supported issue searching with a keyword and conditions in a less efficient way. It worked by searching for issues with the keyword and obtaining limited IDs (as it is heavy to get all) on the indexer (bleve/elasticsearch/meilisearch), and then querying with conditions on the database to find a subset of the found IDs. This is why the results could be incomplete. To solve this issue, we need to store all fields that could be used as conditions in the indexer and support both keyword and additional conditions when searching with the indexer. ## Major changes - Redefine `IndexerData` to include all fields that could be used as filter conditions. - Refactor `Search(ctx context.Context, kw string, repoIDs []int64, limit, start int, state string)` to `Search(ctx context.Context, options *SearchOptions)`, so it supports more conditions now. - Change the data type stored in `issueIndexerQueue`. Use `IndexerMetadata` instead of `IndexerData` in case the data has been updated while it is in the queue. This also reduces the storage size of the queue. - Enhance searching with Bleve/Elasticsearch/Meilisearch, make them fully support `SearchOptions`. Also, update the data versions. - Keep most logic of database indexer, but remove `issues.SearchIssueIDsByKeyword` in `models` to avoid confusion where is the entry point to search issues. - Start a Meilisearch instance to test it in unit tests. - Add unit tests with almost full coverage to test Bleve/Elasticsearch/Meilisearch indexer. --------- Co-authored-by: Lunny Xiao <xiaolunwen@gmail.com>
2023-07-31 06:28:53 +00:00
"code.gitea.io/gitea/modules/timeutil"
"github.com/stretchr/testify/assert"
"github.com/stretchr/testify/require"
)
func TestIndexer(t *testing.T, indexer internal.Indexer) {
_, err := indexer.Init(context.Background())
require.NoError(t, err)
require.NoError(t, indexer.Ping(context.Background()))
var (
ids []int64
data = map[int64]*internal.IndexerData{}
)
{
d := generateDefaultIndexerData()
for _, v := range d {
ids = append(ids, v.ID)
data[v.ID] = v
}
require.NoError(t, indexer.Index(context.Background(), d...))
require.NoError(t, waitData(indexer, int64(len(data))))
}
defer func() {
require.NoError(t, indexer.Delete(context.Background(), ids...))
}()
for _, c := range cases {
t.Run(c.Name, func(t *testing.T) {
if len(c.ExtraData) > 0 {
require.NoError(t, indexer.Index(context.Background(), c.ExtraData...))
for _, v := range c.ExtraData {
data[v.ID] = v
}
require.NoError(t, waitData(indexer, int64(len(data))))
defer func() {
for _, v := range c.ExtraData {
require.NoError(t, indexer.Delete(context.Background(), v.ID))
delete(data, v.ID)
}
require.NoError(t, waitData(indexer, int64(len(data))))
}()
}
result, err := indexer.Search(context.Background(), c.SearchOptions)
require.NoError(t, err)
if c.Expected != nil {
c.Expected(t, data, result)
} else {
ids := make([]int64, 0, len(result.Hits))
for _, hit := range result.Hits {
ids = append(ids, hit.ID)
}
assert.Equal(t, c.ExpectedIDs, ids)
assert.Equal(t, c.ExpectedTotal, result.Total)
}
// test counting
c.SearchOptions.Paginator = &db.ListOptions{PageSize: 0}
countResult, err := indexer.Search(context.Background(), c.SearchOptions)
require.NoError(t, err)
assert.Empty(t, countResult.Hits)
assert.Equal(t, result.Total, countResult.Total)
Refactor and enhance issue indexer to support both searching, filtering and paging (#26012) Fix #24662. Replace #24822 and #25708 (although it has been merged) ## Background In the past, Gitea supported issue searching with a keyword and conditions in a less efficient way. It worked by searching for issues with the keyword and obtaining limited IDs (as it is heavy to get all) on the indexer (bleve/elasticsearch/meilisearch), and then querying with conditions on the database to find a subset of the found IDs. This is why the results could be incomplete. To solve this issue, we need to store all fields that could be used as conditions in the indexer and support both keyword and additional conditions when searching with the indexer. ## Major changes - Redefine `IndexerData` to include all fields that could be used as filter conditions. - Refactor `Search(ctx context.Context, kw string, repoIDs []int64, limit, start int, state string)` to `Search(ctx context.Context, options *SearchOptions)`, so it supports more conditions now. - Change the data type stored in `issueIndexerQueue`. Use `IndexerMetadata` instead of `IndexerData` in case the data has been updated while it is in the queue. This also reduces the storage size of the queue. - Enhance searching with Bleve/Elasticsearch/Meilisearch, make them fully support `SearchOptions`. Also, update the data versions. - Keep most logic of database indexer, but remove `issues.SearchIssueIDsByKeyword` in `models` to avoid confusion where is the entry point to search issues. - Start a Meilisearch instance to test it in unit tests. - Add unit tests with almost full coverage to test Bleve/Elasticsearch/Meilisearch indexer. --------- Co-authored-by: Lunny Xiao <xiaolunwen@gmail.com>
2023-07-31 06:28:53 +00:00
})
}
}
var cases = []*testIndexerCase{
{
Name: "default",
SearchOptions: &internal.SearchOptions{},
Expected: func(t *testing.T, data map[int64]*internal.IndexerData, result *internal.SearchResult) {
assert.Equal(t, len(data), len(result.Hits))
assert.Equal(t, len(data), int(result.Total))
},
},
{
Name: "empty",
SearchOptions: &internal.SearchOptions{
Keyword: "f1dfac73-fda6-4a6b-b8a4-2408fcb8ef69",
},
ExpectedIDs: []int64{},
ExpectedTotal: 0,
},
{
Name: "with limit",
SearchOptions: &internal.SearchOptions{
Paginator: &db.ListOptions{
PageSize: 5,
},
},
Expected: func(t *testing.T, data map[int64]*internal.IndexerData, result *internal.SearchResult) {
assert.Equal(t, 5, len(result.Hits))
assert.Equal(t, len(data), int(result.Total))
},
},
{
Name: "Keyword",
ExtraData: []*internal.IndexerData{
{ID: 1000, Title: "hi hello world"},
{ID: 1001, Content: "hi hello world"},
{ID: 1002, Comments: []string{"hi", "hello world"}},
},
SearchOptions: &internal.SearchOptions{
Keyword: "hello",
},
ExpectedIDs: []int64{1002, 1001, 1000},
ExpectedTotal: 3,
},
{
Name: "RepoIDs",
ExtraData: []*internal.IndexerData{
{ID: 1001, Title: "hello world", RepoID: 1, IsPublic: false},
{ID: 1002, Title: "hello world", RepoID: 1, IsPublic: false},
{ID: 1003, Title: "hello world", RepoID: 2, IsPublic: true},
{ID: 1004, Title: "hello world", RepoID: 2, IsPublic: true},
{ID: 1005, Title: "hello world", RepoID: 3, IsPublic: true},
{ID: 1006, Title: "hello world", RepoID: 4, IsPublic: false},
{ID: 1007, Title: "hello world", RepoID: 5, IsPublic: false},
},
SearchOptions: &internal.SearchOptions{
Keyword: "hello",
RepoIDs: []int64{1, 4},
},
ExpectedIDs: []int64{1006, 1002, 1001},
ExpectedTotal: 3,
},
{
Name: "RepoIDs and AllPublic",
ExtraData: []*internal.IndexerData{
{ID: 1001, Title: "hello world", RepoID: 1, IsPublic: false},
{ID: 1002, Title: "hello world", RepoID: 1, IsPublic: false},
{ID: 1003, Title: "hello world", RepoID: 2, IsPublic: true},
{ID: 1004, Title: "hello world", RepoID: 2, IsPublic: true},
{ID: 1005, Title: "hello world", RepoID: 3, IsPublic: true},
{ID: 1006, Title: "hello world", RepoID: 4, IsPublic: false},
{ID: 1007, Title: "hello world", RepoID: 5, IsPublic: false},
},
SearchOptions: &internal.SearchOptions{
Keyword: "hello",
RepoIDs: []int64{1, 4},
AllPublic: true,
},
ExpectedIDs: []int64{1006, 1005, 1004, 1003, 1002, 1001},
ExpectedTotal: 6,
},
{
Name: "issue only",
SearchOptions: &internal.SearchOptions{
Paginator: &db.ListOptions{
PageSize: 5,
},
IsPull: optional.Some(false),
Refactor and enhance issue indexer to support both searching, filtering and paging (#26012) Fix #24662. Replace #24822 and #25708 (although it has been merged) ## Background In the past, Gitea supported issue searching with a keyword and conditions in a less efficient way. It worked by searching for issues with the keyword and obtaining limited IDs (as it is heavy to get all) on the indexer (bleve/elasticsearch/meilisearch), and then querying with conditions on the database to find a subset of the found IDs. This is why the results could be incomplete. To solve this issue, we need to store all fields that could be used as conditions in the indexer and support both keyword and additional conditions when searching with the indexer. ## Major changes - Redefine `IndexerData` to include all fields that could be used as filter conditions. - Refactor `Search(ctx context.Context, kw string, repoIDs []int64, limit, start int, state string)` to `Search(ctx context.Context, options *SearchOptions)`, so it supports more conditions now. - Change the data type stored in `issueIndexerQueue`. Use `IndexerMetadata` instead of `IndexerData` in case the data has been updated while it is in the queue. This also reduces the storage size of the queue. - Enhance searching with Bleve/Elasticsearch/Meilisearch, make them fully support `SearchOptions`. Also, update the data versions. - Keep most logic of database indexer, but remove `issues.SearchIssueIDsByKeyword` in `models` to avoid confusion where is the entry point to search issues. - Start a Meilisearch instance to test it in unit tests. - Add unit tests with almost full coverage to test Bleve/Elasticsearch/Meilisearch indexer. --------- Co-authored-by: Lunny Xiao <xiaolunwen@gmail.com>
2023-07-31 06:28:53 +00:00
},
Expected: func(t *testing.T, data map[int64]*internal.IndexerData, result *internal.SearchResult) {
assert.Equal(t, 5, len(result.Hits))
for _, v := range result.Hits {
assert.False(t, data[v.ID].IsPull)
}
assert.Equal(t, countIndexerData(data, func(v *internal.IndexerData) bool { return !v.IsPull }), result.Total)
},
},
{
Name: "pull only",
SearchOptions: &internal.SearchOptions{
Paginator: &db.ListOptions{
PageSize: 5,
},
IsPull: optional.Some(true),
Refactor and enhance issue indexer to support both searching, filtering and paging (#26012) Fix #24662. Replace #24822 and #25708 (although it has been merged) ## Background In the past, Gitea supported issue searching with a keyword and conditions in a less efficient way. It worked by searching for issues with the keyword and obtaining limited IDs (as it is heavy to get all) on the indexer (bleve/elasticsearch/meilisearch), and then querying with conditions on the database to find a subset of the found IDs. This is why the results could be incomplete. To solve this issue, we need to store all fields that could be used as conditions in the indexer and support both keyword and additional conditions when searching with the indexer. ## Major changes - Redefine `IndexerData` to include all fields that could be used as filter conditions. - Refactor `Search(ctx context.Context, kw string, repoIDs []int64, limit, start int, state string)` to `Search(ctx context.Context, options *SearchOptions)`, so it supports more conditions now. - Change the data type stored in `issueIndexerQueue`. Use `IndexerMetadata` instead of `IndexerData` in case the data has been updated while it is in the queue. This also reduces the storage size of the queue. - Enhance searching with Bleve/Elasticsearch/Meilisearch, make them fully support `SearchOptions`. Also, update the data versions. - Keep most logic of database indexer, but remove `issues.SearchIssueIDsByKeyword` in `models` to avoid confusion where is the entry point to search issues. - Start a Meilisearch instance to test it in unit tests. - Add unit tests with almost full coverage to test Bleve/Elasticsearch/Meilisearch indexer. --------- Co-authored-by: Lunny Xiao <xiaolunwen@gmail.com>
2023-07-31 06:28:53 +00:00
},
Expected: func(t *testing.T, data map[int64]*internal.IndexerData, result *internal.SearchResult) {
assert.Equal(t, 5, len(result.Hits))
for _, v := range result.Hits {
assert.True(t, data[v.ID].IsPull)
}
assert.Equal(t, countIndexerData(data, func(v *internal.IndexerData) bool { return v.IsPull }), result.Total)
},
},
{
Name: "opened only",
SearchOptions: &internal.SearchOptions{
Paginator: &db.ListOptions{
PageSize: 5,
},
IsClosed: optional.Some(false),
Refactor and enhance issue indexer to support both searching, filtering and paging (#26012) Fix #24662. Replace #24822 and #25708 (although it has been merged) ## Background In the past, Gitea supported issue searching with a keyword and conditions in a less efficient way. It worked by searching for issues with the keyword and obtaining limited IDs (as it is heavy to get all) on the indexer (bleve/elasticsearch/meilisearch), and then querying with conditions on the database to find a subset of the found IDs. This is why the results could be incomplete. To solve this issue, we need to store all fields that could be used as conditions in the indexer and support both keyword and additional conditions when searching with the indexer. ## Major changes - Redefine `IndexerData` to include all fields that could be used as filter conditions. - Refactor `Search(ctx context.Context, kw string, repoIDs []int64, limit, start int, state string)` to `Search(ctx context.Context, options *SearchOptions)`, so it supports more conditions now. - Change the data type stored in `issueIndexerQueue`. Use `IndexerMetadata` instead of `IndexerData` in case the data has been updated while it is in the queue. This also reduces the storage size of the queue. - Enhance searching with Bleve/Elasticsearch/Meilisearch, make them fully support `SearchOptions`. Also, update the data versions. - Keep most logic of database indexer, but remove `issues.SearchIssueIDsByKeyword` in `models` to avoid confusion where is the entry point to search issues. - Start a Meilisearch instance to test it in unit tests. - Add unit tests with almost full coverage to test Bleve/Elasticsearch/Meilisearch indexer. --------- Co-authored-by: Lunny Xiao <xiaolunwen@gmail.com>
2023-07-31 06:28:53 +00:00
},
Expected: func(t *testing.T, data map[int64]*internal.IndexerData, result *internal.SearchResult) {
assert.Equal(t, 5, len(result.Hits))
for _, v := range result.Hits {
assert.False(t, data[v.ID].IsClosed)
}
assert.Equal(t, countIndexerData(data, func(v *internal.IndexerData) bool { return !v.IsClosed }), result.Total)
},
},
{
Name: "closed only",
SearchOptions: &internal.SearchOptions{
Paginator: &db.ListOptions{
PageSize: 5,
},
IsClosed: optional.Some(true),
Refactor and enhance issue indexer to support both searching, filtering and paging (#26012) Fix #24662. Replace #24822 and #25708 (although it has been merged) ## Background In the past, Gitea supported issue searching with a keyword and conditions in a less efficient way. It worked by searching for issues with the keyword and obtaining limited IDs (as it is heavy to get all) on the indexer (bleve/elasticsearch/meilisearch), and then querying with conditions on the database to find a subset of the found IDs. This is why the results could be incomplete. To solve this issue, we need to store all fields that could be used as conditions in the indexer and support both keyword and additional conditions when searching with the indexer. ## Major changes - Redefine `IndexerData` to include all fields that could be used as filter conditions. - Refactor `Search(ctx context.Context, kw string, repoIDs []int64, limit, start int, state string)` to `Search(ctx context.Context, options *SearchOptions)`, so it supports more conditions now. - Change the data type stored in `issueIndexerQueue`. Use `IndexerMetadata` instead of `IndexerData` in case the data has been updated while it is in the queue. This also reduces the storage size of the queue. - Enhance searching with Bleve/Elasticsearch/Meilisearch, make them fully support `SearchOptions`. Also, update the data versions. - Keep most logic of database indexer, but remove `issues.SearchIssueIDsByKeyword` in `models` to avoid confusion where is the entry point to search issues. - Start a Meilisearch instance to test it in unit tests. - Add unit tests with almost full coverage to test Bleve/Elasticsearch/Meilisearch indexer. --------- Co-authored-by: Lunny Xiao <xiaolunwen@gmail.com>
2023-07-31 06:28:53 +00:00
},
Expected: func(t *testing.T, data map[int64]*internal.IndexerData, result *internal.SearchResult) {
assert.Equal(t, 5, len(result.Hits))
for _, v := range result.Hits {
assert.True(t, data[v.ID].IsClosed)
}
assert.Equal(t, countIndexerData(data, func(v *internal.IndexerData) bool { return v.IsClosed }), result.Total)
},
},
{
Name: "labels",
ExtraData: []*internal.IndexerData{
{ID: 1000, Title: "hello a", LabelIDs: []int64{2000, 2001, 2002}},
{ID: 1001, Title: "hello b", LabelIDs: []int64{2000, 2001}},
{ID: 1002, Title: "hello c", LabelIDs: []int64{2000, 2001, 2003}},
{ID: 1003, Title: "hello d", LabelIDs: []int64{2000}},
{ID: 1004, Title: "hello e", LabelIDs: []int64{}},
},
SearchOptions: &internal.SearchOptions{
Keyword: "hello",
IncludedLabelIDs: []int64{2000, 2001},
ExcludedLabelIDs: []int64{2003},
},
ExpectedIDs: []int64{1001, 1000},
ExpectedTotal: 2,
},
{
Name: "include any labels",
ExtraData: []*internal.IndexerData{
{ID: 1000, Title: "hello a", LabelIDs: []int64{2000, 2001, 2002}},
{ID: 1001, Title: "hello b", LabelIDs: []int64{2001}},
{ID: 1002, Title: "hello c", LabelIDs: []int64{2000, 2001, 2003}},
{ID: 1003, Title: "hello d", LabelIDs: []int64{2002}},
{ID: 1004, Title: "hello e", LabelIDs: []int64{}},
},
SearchOptions: &internal.SearchOptions{
Keyword: "hello",
IncludedAnyLabelIDs: []int64{2001, 2002},
ExcludedLabelIDs: []int64{2003},
},
ExpectedIDs: []int64{1003, 1001, 1000},
ExpectedTotal: 3,
},
{
Name: "MilestoneIDs",
SearchOptions: &internal.SearchOptions{
Paginator: &db.ListOptions{
PageSize: 5,
},
MilestoneIDs: []int64{1, 2, 6},
},
Expected: func(t *testing.T, data map[int64]*internal.IndexerData, result *internal.SearchResult) {
assert.Equal(t, 5, len(result.Hits))
for _, v := range result.Hits {
assert.Contains(t, []int64{1, 2, 6}, data[v.ID].MilestoneID)
}
assert.Equal(t, countIndexerData(data, func(v *internal.IndexerData) bool {
return v.MilestoneID == 1 || v.MilestoneID == 2 || v.MilestoneID == 6
}), result.Total)
},
},
{
Name: "no MilestoneIDs",
SearchOptions: &internal.SearchOptions{
Paginator: &db.ListOptions{
PageSize: 5,
},
MilestoneIDs: []int64{0},
},
Expected: func(t *testing.T, data map[int64]*internal.IndexerData, result *internal.SearchResult) {
assert.Equal(t, 5, len(result.Hits))
for _, v := range result.Hits {
assert.Equal(t, int64(0), data[v.ID].MilestoneID)
}
assert.Equal(t, countIndexerData(data, func(v *internal.IndexerData) bool {
return v.MilestoneID == 0
}), result.Total)
},
},
{
Name: "ProjectID",
SearchOptions: &internal.SearchOptions{
Paginator: &db.ListOptions{
PageSize: 5,
},
ProjectID: optional.Some(int64(1)),
Refactor and enhance issue indexer to support both searching, filtering and paging (#26012) Fix #24662. Replace #24822 and #25708 (although it has been merged) ## Background In the past, Gitea supported issue searching with a keyword and conditions in a less efficient way. It worked by searching for issues with the keyword and obtaining limited IDs (as it is heavy to get all) on the indexer (bleve/elasticsearch/meilisearch), and then querying with conditions on the database to find a subset of the found IDs. This is why the results could be incomplete. To solve this issue, we need to store all fields that could be used as conditions in the indexer and support both keyword and additional conditions when searching with the indexer. ## Major changes - Redefine `IndexerData` to include all fields that could be used as filter conditions. - Refactor `Search(ctx context.Context, kw string, repoIDs []int64, limit, start int, state string)` to `Search(ctx context.Context, options *SearchOptions)`, so it supports more conditions now. - Change the data type stored in `issueIndexerQueue`. Use `IndexerMetadata` instead of `IndexerData` in case the data has been updated while it is in the queue. This also reduces the storage size of the queue. - Enhance searching with Bleve/Elasticsearch/Meilisearch, make them fully support `SearchOptions`. Also, update the data versions. - Keep most logic of database indexer, but remove `issues.SearchIssueIDsByKeyword` in `models` to avoid confusion where is the entry point to search issues. - Start a Meilisearch instance to test it in unit tests. - Add unit tests with almost full coverage to test Bleve/Elasticsearch/Meilisearch indexer. --------- Co-authored-by: Lunny Xiao <xiaolunwen@gmail.com>
2023-07-31 06:28:53 +00:00
},
Expected: func(t *testing.T, data map[int64]*internal.IndexerData, result *internal.SearchResult) {
assert.Equal(t, 5, len(result.Hits))
for _, v := range result.Hits {
assert.Equal(t, int64(1), data[v.ID].ProjectID)
}
assert.Equal(t, countIndexerData(data, func(v *internal.IndexerData) bool {
return v.ProjectID == 1
}), result.Total)
},
},
{
Name: "no ProjectID",
SearchOptions: &internal.SearchOptions{
Paginator: &db.ListOptions{
PageSize: 5,
},
ProjectID: optional.Some(int64(0)),
Refactor and enhance issue indexer to support both searching, filtering and paging (#26012) Fix #24662. Replace #24822 and #25708 (although it has been merged) ## Background In the past, Gitea supported issue searching with a keyword and conditions in a less efficient way. It worked by searching for issues with the keyword and obtaining limited IDs (as it is heavy to get all) on the indexer (bleve/elasticsearch/meilisearch), and then querying with conditions on the database to find a subset of the found IDs. This is why the results could be incomplete. To solve this issue, we need to store all fields that could be used as conditions in the indexer and support both keyword and additional conditions when searching with the indexer. ## Major changes - Redefine `IndexerData` to include all fields that could be used as filter conditions. - Refactor `Search(ctx context.Context, kw string, repoIDs []int64, limit, start int, state string)` to `Search(ctx context.Context, options *SearchOptions)`, so it supports more conditions now. - Change the data type stored in `issueIndexerQueue`. Use `IndexerMetadata` instead of `IndexerData` in case the data has been updated while it is in the queue. This also reduces the storage size of the queue. - Enhance searching with Bleve/Elasticsearch/Meilisearch, make them fully support `SearchOptions`. Also, update the data versions. - Keep most logic of database indexer, but remove `issues.SearchIssueIDsByKeyword` in `models` to avoid confusion where is the entry point to search issues. - Start a Meilisearch instance to test it in unit tests. - Add unit tests with almost full coverage to test Bleve/Elasticsearch/Meilisearch indexer. --------- Co-authored-by: Lunny Xiao <xiaolunwen@gmail.com>
2023-07-31 06:28:53 +00:00
},
Expected: func(t *testing.T, data map[int64]*internal.IndexerData, result *internal.SearchResult) {
assert.Equal(t, 5, len(result.Hits))
for _, v := range result.Hits {
assert.Equal(t, int64(0), data[v.ID].ProjectID)
}
assert.Equal(t, countIndexerData(data, func(v *internal.IndexerData) bool {
return v.ProjectID == 0
}), result.Total)
},
},
{
Name: "ProjectBoardID",
SearchOptions: &internal.SearchOptions{
Paginator: &db.ListOptions{
PageSize: 5,
},
ProjectBoardID: optional.Some(int64(1)),
Refactor and enhance issue indexer to support both searching, filtering and paging (#26012) Fix #24662. Replace #24822 and #25708 (although it has been merged) ## Background In the past, Gitea supported issue searching with a keyword and conditions in a less efficient way. It worked by searching for issues with the keyword and obtaining limited IDs (as it is heavy to get all) on the indexer (bleve/elasticsearch/meilisearch), and then querying with conditions on the database to find a subset of the found IDs. This is why the results could be incomplete. To solve this issue, we need to store all fields that could be used as conditions in the indexer and support both keyword and additional conditions when searching with the indexer. ## Major changes - Redefine `IndexerData` to include all fields that could be used as filter conditions. - Refactor `Search(ctx context.Context, kw string, repoIDs []int64, limit, start int, state string)` to `Search(ctx context.Context, options *SearchOptions)`, so it supports more conditions now. - Change the data type stored in `issueIndexerQueue`. Use `IndexerMetadata` instead of `IndexerData` in case the data has been updated while it is in the queue. This also reduces the storage size of the queue. - Enhance searching with Bleve/Elasticsearch/Meilisearch, make them fully support `SearchOptions`. Also, update the data versions. - Keep most logic of database indexer, but remove `issues.SearchIssueIDsByKeyword` in `models` to avoid confusion where is the entry point to search issues. - Start a Meilisearch instance to test it in unit tests. - Add unit tests with almost full coverage to test Bleve/Elasticsearch/Meilisearch indexer. --------- Co-authored-by: Lunny Xiao <xiaolunwen@gmail.com>
2023-07-31 06:28:53 +00:00
},
Expected: func(t *testing.T, data map[int64]*internal.IndexerData, result *internal.SearchResult) {
assert.Equal(t, 5, len(result.Hits))
for _, v := range result.Hits {
assert.Equal(t, int64(1), data[v.ID].ProjectBoardID)
}
assert.Equal(t, countIndexerData(data, func(v *internal.IndexerData) bool {
return v.ProjectBoardID == 1
}), result.Total)
},
},
{
Name: "no ProjectBoardID",
SearchOptions: &internal.SearchOptions{
Paginator: &db.ListOptions{
PageSize: 5,
},
ProjectBoardID: optional.Some(int64(0)),
Refactor and enhance issue indexer to support both searching, filtering and paging (#26012) Fix #24662. Replace #24822 and #25708 (although it has been merged) ## Background In the past, Gitea supported issue searching with a keyword and conditions in a less efficient way. It worked by searching for issues with the keyword and obtaining limited IDs (as it is heavy to get all) on the indexer (bleve/elasticsearch/meilisearch), and then querying with conditions on the database to find a subset of the found IDs. This is why the results could be incomplete. To solve this issue, we need to store all fields that could be used as conditions in the indexer and support both keyword and additional conditions when searching with the indexer. ## Major changes - Redefine `IndexerData` to include all fields that could be used as filter conditions. - Refactor `Search(ctx context.Context, kw string, repoIDs []int64, limit, start int, state string)` to `Search(ctx context.Context, options *SearchOptions)`, so it supports more conditions now. - Change the data type stored in `issueIndexerQueue`. Use `IndexerMetadata` instead of `IndexerData` in case the data has been updated while it is in the queue. This also reduces the storage size of the queue. - Enhance searching with Bleve/Elasticsearch/Meilisearch, make them fully support `SearchOptions`. Also, update the data versions. - Keep most logic of database indexer, but remove `issues.SearchIssueIDsByKeyword` in `models` to avoid confusion where is the entry point to search issues. - Start a Meilisearch instance to test it in unit tests. - Add unit tests with almost full coverage to test Bleve/Elasticsearch/Meilisearch indexer. --------- Co-authored-by: Lunny Xiao <xiaolunwen@gmail.com>
2023-07-31 06:28:53 +00:00
},
Expected: func(t *testing.T, data map[int64]*internal.IndexerData, result *internal.SearchResult) {
assert.Equal(t, 5, len(result.Hits))
for _, v := range result.Hits {
assert.Equal(t, int64(0), data[v.ID].ProjectBoardID)
}
assert.Equal(t, countIndexerData(data, func(v *internal.IndexerData) bool {
return v.ProjectBoardID == 0
}), result.Total)
},
},
{
Name: "PosterID",
SearchOptions: &internal.SearchOptions{
Paginator: &db.ListOptions{
PageSize: 5,
},
PosterID: optional.Some(int64(1)),
Refactor and enhance issue indexer to support both searching, filtering and paging (#26012) Fix #24662. Replace #24822 and #25708 (although it has been merged) ## Background In the past, Gitea supported issue searching with a keyword and conditions in a less efficient way. It worked by searching for issues with the keyword and obtaining limited IDs (as it is heavy to get all) on the indexer (bleve/elasticsearch/meilisearch), and then querying with conditions on the database to find a subset of the found IDs. This is why the results could be incomplete. To solve this issue, we need to store all fields that could be used as conditions in the indexer and support both keyword and additional conditions when searching with the indexer. ## Major changes - Redefine `IndexerData` to include all fields that could be used as filter conditions. - Refactor `Search(ctx context.Context, kw string, repoIDs []int64, limit, start int, state string)` to `Search(ctx context.Context, options *SearchOptions)`, so it supports more conditions now. - Change the data type stored in `issueIndexerQueue`. Use `IndexerMetadata` instead of `IndexerData` in case the data has been updated while it is in the queue. This also reduces the storage size of the queue. - Enhance searching with Bleve/Elasticsearch/Meilisearch, make them fully support `SearchOptions`. Also, update the data versions. - Keep most logic of database indexer, but remove `issues.SearchIssueIDsByKeyword` in `models` to avoid confusion where is the entry point to search issues. - Start a Meilisearch instance to test it in unit tests. - Add unit tests with almost full coverage to test Bleve/Elasticsearch/Meilisearch indexer. --------- Co-authored-by: Lunny Xiao <xiaolunwen@gmail.com>
2023-07-31 06:28:53 +00:00
},
Expected: func(t *testing.T, data map[int64]*internal.IndexerData, result *internal.SearchResult) {
assert.Equal(t, 5, len(result.Hits))
for _, v := range result.Hits {
assert.Equal(t, int64(1), data[v.ID].PosterID)
}
assert.Equal(t, countIndexerData(data, func(v *internal.IndexerData) bool {
return v.PosterID == 1
}), result.Total)
},
},
{
Name: "AssigneeID",
SearchOptions: &internal.SearchOptions{
Paginator: &db.ListOptions{
PageSize: 5,
},
AssigneeID: optional.Some(int64(1)),
Refactor and enhance issue indexer to support both searching, filtering and paging (#26012) Fix #24662. Replace #24822 and #25708 (although it has been merged) ## Background In the past, Gitea supported issue searching with a keyword and conditions in a less efficient way. It worked by searching for issues with the keyword and obtaining limited IDs (as it is heavy to get all) on the indexer (bleve/elasticsearch/meilisearch), and then querying with conditions on the database to find a subset of the found IDs. This is why the results could be incomplete. To solve this issue, we need to store all fields that could be used as conditions in the indexer and support both keyword and additional conditions when searching with the indexer. ## Major changes - Redefine `IndexerData` to include all fields that could be used as filter conditions. - Refactor `Search(ctx context.Context, kw string, repoIDs []int64, limit, start int, state string)` to `Search(ctx context.Context, options *SearchOptions)`, so it supports more conditions now. - Change the data type stored in `issueIndexerQueue`. Use `IndexerMetadata` instead of `IndexerData` in case the data has been updated while it is in the queue. This also reduces the storage size of the queue. - Enhance searching with Bleve/Elasticsearch/Meilisearch, make them fully support `SearchOptions`. Also, update the data versions. - Keep most logic of database indexer, but remove `issues.SearchIssueIDsByKeyword` in `models` to avoid confusion where is the entry point to search issues. - Start a Meilisearch instance to test it in unit tests. - Add unit tests with almost full coverage to test Bleve/Elasticsearch/Meilisearch indexer. --------- Co-authored-by: Lunny Xiao <xiaolunwen@gmail.com>
2023-07-31 06:28:53 +00:00
},
Expected: func(t *testing.T, data map[int64]*internal.IndexerData, result *internal.SearchResult) {
assert.Equal(t, 5, len(result.Hits))
for _, v := range result.Hits {
assert.Equal(t, int64(1), data[v.ID].AssigneeID)
}
assert.Equal(t, countIndexerData(data, func(v *internal.IndexerData) bool {
return v.AssigneeID == 1
}), result.Total)
},
},
{
Name: "no AssigneeID",
SearchOptions: &internal.SearchOptions{
Paginator: &db.ListOptions{
PageSize: 5,
},
AssigneeID: optional.Some(int64(0)),
Refactor and enhance issue indexer to support both searching, filtering and paging (#26012) Fix #24662. Replace #24822 and #25708 (although it has been merged) ## Background In the past, Gitea supported issue searching with a keyword and conditions in a less efficient way. It worked by searching for issues with the keyword and obtaining limited IDs (as it is heavy to get all) on the indexer (bleve/elasticsearch/meilisearch), and then querying with conditions on the database to find a subset of the found IDs. This is why the results could be incomplete. To solve this issue, we need to store all fields that could be used as conditions in the indexer and support both keyword and additional conditions when searching with the indexer. ## Major changes - Redefine `IndexerData` to include all fields that could be used as filter conditions. - Refactor `Search(ctx context.Context, kw string, repoIDs []int64, limit, start int, state string)` to `Search(ctx context.Context, options *SearchOptions)`, so it supports more conditions now. - Change the data type stored in `issueIndexerQueue`. Use `IndexerMetadata` instead of `IndexerData` in case the data has been updated while it is in the queue. This also reduces the storage size of the queue. - Enhance searching with Bleve/Elasticsearch/Meilisearch, make them fully support `SearchOptions`. Also, update the data versions. - Keep most logic of database indexer, but remove `issues.SearchIssueIDsByKeyword` in `models` to avoid confusion where is the entry point to search issues. - Start a Meilisearch instance to test it in unit tests. - Add unit tests with almost full coverage to test Bleve/Elasticsearch/Meilisearch indexer. --------- Co-authored-by: Lunny Xiao <xiaolunwen@gmail.com>
2023-07-31 06:28:53 +00:00
},
Expected: func(t *testing.T, data map[int64]*internal.IndexerData, result *internal.SearchResult) {
assert.Equal(t, 5, len(result.Hits))
for _, v := range result.Hits {
assert.Equal(t, int64(0), data[v.ID].AssigneeID)
}
assert.Equal(t, countIndexerData(data, func(v *internal.IndexerData) bool {
return v.AssigneeID == 0
}), result.Total)
},
},
{
Name: "MentionID",
SearchOptions: &internal.SearchOptions{
Paginator: &db.ListOptions{
PageSize: 5,
},
MentionID: optional.Some(int64(1)),
Refactor and enhance issue indexer to support both searching, filtering and paging (#26012) Fix #24662. Replace #24822 and #25708 (although it has been merged) ## Background In the past, Gitea supported issue searching with a keyword and conditions in a less efficient way. It worked by searching for issues with the keyword and obtaining limited IDs (as it is heavy to get all) on the indexer (bleve/elasticsearch/meilisearch), and then querying with conditions on the database to find a subset of the found IDs. This is why the results could be incomplete. To solve this issue, we need to store all fields that could be used as conditions in the indexer and support both keyword and additional conditions when searching with the indexer. ## Major changes - Redefine `IndexerData` to include all fields that could be used as filter conditions. - Refactor `Search(ctx context.Context, kw string, repoIDs []int64, limit, start int, state string)` to `Search(ctx context.Context, options *SearchOptions)`, so it supports more conditions now. - Change the data type stored in `issueIndexerQueue`. Use `IndexerMetadata` instead of `IndexerData` in case the data has been updated while it is in the queue. This also reduces the storage size of the queue. - Enhance searching with Bleve/Elasticsearch/Meilisearch, make them fully support `SearchOptions`. Also, update the data versions. - Keep most logic of database indexer, but remove `issues.SearchIssueIDsByKeyword` in `models` to avoid confusion where is the entry point to search issues. - Start a Meilisearch instance to test it in unit tests. - Add unit tests with almost full coverage to test Bleve/Elasticsearch/Meilisearch indexer. --------- Co-authored-by: Lunny Xiao <xiaolunwen@gmail.com>
2023-07-31 06:28:53 +00:00
},
Expected: func(t *testing.T, data map[int64]*internal.IndexerData, result *internal.SearchResult) {
assert.Equal(t, 5, len(result.Hits))
for _, v := range result.Hits {
assert.Contains(t, data[v.ID].MentionIDs, int64(1))
}
assert.Equal(t, countIndexerData(data, func(v *internal.IndexerData) bool {
return slices.Contains(v.MentionIDs, 1)
Refactor and enhance issue indexer to support both searching, filtering and paging (#26012) Fix #24662. Replace #24822 and #25708 (although it has been merged) ## Background In the past, Gitea supported issue searching with a keyword and conditions in a less efficient way. It worked by searching for issues with the keyword and obtaining limited IDs (as it is heavy to get all) on the indexer (bleve/elasticsearch/meilisearch), and then querying with conditions on the database to find a subset of the found IDs. This is why the results could be incomplete. To solve this issue, we need to store all fields that could be used as conditions in the indexer and support both keyword and additional conditions when searching with the indexer. ## Major changes - Redefine `IndexerData` to include all fields that could be used as filter conditions. - Refactor `Search(ctx context.Context, kw string, repoIDs []int64, limit, start int, state string)` to `Search(ctx context.Context, options *SearchOptions)`, so it supports more conditions now. - Change the data type stored in `issueIndexerQueue`. Use `IndexerMetadata` instead of `IndexerData` in case the data has been updated while it is in the queue. This also reduces the storage size of the queue. - Enhance searching with Bleve/Elasticsearch/Meilisearch, make them fully support `SearchOptions`. Also, update the data versions. - Keep most logic of database indexer, but remove `issues.SearchIssueIDsByKeyword` in `models` to avoid confusion where is the entry point to search issues. - Start a Meilisearch instance to test it in unit tests. - Add unit tests with almost full coverage to test Bleve/Elasticsearch/Meilisearch indexer. --------- Co-authored-by: Lunny Xiao <xiaolunwen@gmail.com>
2023-07-31 06:28:53 +00:00
}), result.Total)
},
},
{
Name: "ReviewedID",
SearchOptions: &internal.SearchOptions{
Paginator: &db.ListOptions{
PageSize: 5,
},
ReviewedID: optional.Some(int64(1)),
Refactor and enhance issue indexer to support both searching, filtering and paging (#26012) Fix #24662. Replace #24822 and #25708 (although it has been merged) ## Background In the past, Gitea supported issue searching with a keyword and conditions in a less efficient way. It worked by searching for issues with the keyword and obtaining limited IDs (as it is heavy to get all) on the indexer (bleve/elasticsearch/meilisearch), and then querying with conditions on the database to find a subset of the found IDs. This is why the results could be incomplete. To solve this issue, we need to store all fields that could be used as conditions in the indexer and support both keyword and additional conditions when searching with the indexer. ## Major changes - Redefine `IndexerData` to include all fields that could be used as filter conditions. - Refactor `Search(ctx context.Context, kw string, repoIDs []int64, limit, start int, state string)` to `Search(ctx context.Context, options *SearchOptions)`, so it supports more conditions now. - Change the data type stored in `issueIndexerQueue`. Use `IndexerMetadata` instead of `IndexerData` in case the data has been updated while it is in the queue. This also reduces the storage size of the queue. - Enhance searching with Bleve/Elasticsearch/Meilisearch, make them fully support `SearchOptions`. Also, update the data versions. - Keep most logic of database indexer, but remove `issues.SearchIssueIDsByKeyword` in `models` to avoid confusion where is the entry point to search issues. - Start a Meilisearch instance to test it in unit tests. - Add unit tests with almost full coverage to test Bleve/Elasticsearch/Meilisearch indexer. --------- Co-authored-by: Lunny Xiao <xiaolunwen@gmail.com>
2023-07-31 06:28:53 +00:00
},
Expected: func(t *testing.T, data map[int64]*internal.IndexerData, result *internal.SearchResult) {
assert.Equal(t, 5, len(result.Hits))
for _, v := range result.Hits {
assert.Contains(t, data[v.ID].ReviewedIDs, int64(1))
}
assert.Equal(t, countIndexerData(data, func(v *internal.IndexerData) bool {
return slices.Contains(v.ReviewedIDs, 1)
Refactor and enhance issue indexer to support both searching, filtering and paging (#26012) Fix #24662. Replace #24822 and #25708 (although it has been merged) ## Background In the past, Gitea supported issue searching with a keyword and conditions in a less efficient way. It worked by searching for issues with the keyword and obtaining limited IDs (as it is heavy to get all) on the indexer (bleve/elasticsearch/meilisearch), and then querying with conditions on the database to find a subset of the found IDs. This is why the results could be incomplete. To solve this issue, we need to store all fields that could be used as conditions in the indexer and support both keyword and additional conditions when searching with the indexer. ## Major changes - Redefine `IndexerData` to include all fields that could be used as filter conditions. - Refactor `Search(ctx context.Context, kw string, repoIDs []int64, limit, start int, state string)` to `Search(ctx context.Context, options *SearchOptions)`, so it supports more conditions now. - Change the data type stored in `issueIndexerQueue`. Use `IndexerMetadata` instead of `IndexerData` in case the data has been updated while it is in the queue. This also reduces the storage size of the queue. - Enhance searching with Bleve/Elasticsearch/Meilisearch, make them fully support `SearchOptions`. Also, update the data versions. - Keep most logic of database indexer, but remove `issues.SearchIssueIDsByKeyword` in `models` to avoid confusion where is the entry point to search issues. - Start a Meilisearch instance to test it in unit tests. - Add unit tests with almost full coverage to test Bleve/Elasticsearch/Meilisearch indexer. --------- Co-authored-by: Lunny Xiao <xiaolunwen@gmail.com>
2023-07-31 06:28:53 +00:00
}), result.Total)
},
},
{
Name: "ReviewRequestedID",
SearchOptions: &internal.SearchOptions{
Paginator: &db.ListOptions{
PageSize: 5,
},
ReviewRequestedID: optional.Some(int64(1)),
Refactor and enhance issue indexer to support both searching, filtering and paging (#26012) Fix #24662. Replace #24822 and #25708 (although it has been merged) ## Background In the past, Gitea supported issue searching with a keyword and conditions in a less efficient way. It worked by searching for issues with the keyword and obtaining limited IDs (as it is heavy to get all) on the indexer (bleve/elasticsearch/meilisearch), and then querying with conditions on the database to find a subset of the found IDs. This is why the results could be incomplete. To solve this issue, we need to store all fields that could be used as conditions in the indexer and support both keyword and additional conditions when searching with the indexer. ## Major changes - Redefine `IndexerData` to include all fields that could be used as filter conditions. - Refactor `Search(ctx context.Context, kw string, repoIDs []int64, limit, start int, state string)` to `Search(ctx context.Context, options *SearchOptions)`, so it supports more conditions now. - Change the data type stored in `issueIndexerQueue`. Use `IndexerMetadata` instead of `IndexerData` in case the data has been updated while it is in the queue. This also reduces the storage size of the queue. - Enhance searching with Bleve/Elasticsearch/Meilisearch, make them fully support `SearchOptions`. Also, update the data versions. - Keep most logic of database indexer, but remove `issues.SearchIssueIDsByKeyword` in `models` to avoid confusion where is the entry point to search issues. - Start a Meilisearch instance to test it in unit tests. - Add unit tests with almost full coverage to test Bleve/Elasticsearch/Meilisearch indexer. --------- Co-authored-by: Lunny Xiao <xiaolunwen@gmail.com>
2023-07-31 06:28:53 +00:00
},
Expected: func(t *testing.T, data map[int64]*internal.IndexerData, result *internal.SearchResult) {
assert.Equal(t, 5, len(result.Hits))
for _, v := range result.Hits {
assert.Contains(t, data[v.ID].ReviewRequestedIDs, int64(1))
}
assert.Equal(t, countIndexerData(data, func(v *internal.IndexerData) bool {
return slices.Contains(v.ReviewRequestedIDs, 1)
Refactor and enhance issue indexer to support both searching, filtering and paging (#26012) Fix #24662. Replace #24822 and #25708 (although it has been merged) ## Background In the past, Gitea supported issue searching with a keyword and conditions in a less efficient way. It worked by searching for issues with the keyword and obtaining limited IDs (as it is heavy to get all) on the indexer (bleve/elasticsearch/meilisearch), and then querying with conditions on the database to find a subset of the found IDs. This is why the results could be incomplete. To solve this issue, we need to store all fields that could be used as conditions in the indexer and support both keyword and additional conditions when searching with the indexer. ## Major changes - Redefine `IndexerData` to include all fields that could be used as filter conditions. - Refactor `Search(ctx context.Context, kw string, repoIDs []int64, limit, start int, state string)` to `Search(ctx context.Context, options *SearchOptions)`, so it supports more conditions now. - Change the data type stored in `issueIndexerQueue`. Use `IndexerMetadata` instead of `IndexerData` in case the data has been updated while it is in the queue. This also reduces the storage size of the queue. - Enhance searching with Bleve/Elasticsearch/Meilisearch, make them fully support `SearchOptions`. Also, update the data versions. - Keep most logic of database indexer, but remove `issues.SearchIssueIDsByKeyword` in `models` to avoid confusion where is the entry point to search issues. - Start a Meilisearch instance to test it in unit tests. - Add unit tests with almost full coverage to test Bleve/Elasticsearch/Meilisearch indexer. --------- Co-authored-by: Lunny Xiao <xiaolunwen@gmail.com>
2023-07-31 06:28:53 +00:00
}), result.Total)
},
},
{
Name: "SubscriberID",
SearchOptions: &internal.SearchOptions{
Paginator: &db.ListOptions{
PageSize: 5,
},
SubscriberID: optional.Some(int64(1)),
Refactor and enhance issue indexer to support both searching, filtering and paging (#26012) Fix #24662. Replace #24822 and #25708 (although it has been merged) ## Background In the past, Gitea supported issue searching with a keyword and conditions in a less efficient way. It worked by searching for issues with the keyword and obtaining limited IDs (as it is heavy to get all) on the indexer (bleve/elasticsearch/meilisearch), and then querying with conditions on the database to find a subset of the found IDs. This is why the results could be incomplete. To solve this issue, we need to store all fields that could be used as conditions in the indexer and support both keyword and additional conditions when searching with the indexer. ## Major changes - Redefine `IndexerData` to include all fields that could be used as filter conditions. - Refactor `Search(ctx context.Context, kw string, repoIDs []int64, limit, start int, state string)` to `Search(ctx context.Context, options *SearchOptions)`, so it supports more conditions now. - Change the data type stored in `issueIndexerQueue`. Use `IndexerMetadata` instead of `IndexerData` in case the data has been updated while it is in the queue. This also reduces the storage size of the queue. - Enhance searching with Bleve/Elasticsearch/Meilisearch, make them fully support `SearchOptions`. Also, update the data versions. - Keep most logic of database indexer, but remove `issues.SearchIssueIDsByKeyword` in `models` to avoid confusion where is the entry point to search issues. - Start a Meilisearch instance to test it in unit tests. - Add unit tests with almost full coverage to test Bleve/Elasticsearch/Meilisearch indexer. --------- Co-authored-by: Lunny Xiao <xiaolunwen@gmail.com>
2023-07-31 06:28:53 +00:00
},
Expected: func(t *testing.T, data map[int64]*internal.IndexerData, result *internal.SearchResult) {
assert.Equal(t, 5, len(result.Hits))
for _, v := range result.Hits {
assert.Contains(t, data[v.ID].SubscriberIDs, int64(1))
}
assert.Equal(t, countIndexerData(data, func(v *internal.IndexerData) bool {
return slices.Contains(v.SubscriberIDs, 1)
Refactor and enhance issue indexer to support both searching, filtering and paging (#26012) Fix #24662. Replace #24822 and #25708 (although it has been merged) ## Background In the past, Gitea supported issue searching with a keyword and conditions in a less efficient way. It worked by searching for issues with the keyword and obtaining limited IDs (as it is heavy to get all) on the indexer (bleve/elasticsearch/meilisearch), and then querying with conditions on the database to find a subset of the found IDs. This is why the results could be incomplete. To solve this issue, we need to store all fields that could be used as conditions in the indexer and support both keyword and additional conditions when searching with the indexer. ## Major changes - Redefine `IndexerData` to include all fields that could be used as filter conditions. - Refactor `Search(ctx context.Context, kw string, repoIDs []int64, limit, start int, state string)` to `Search(ctx context.Context, options *SearchOptions)`, so it supports more conditions now. - Change the data type stored in `issueIndexerQueue`. Use `IndexerMetadata` instead of `IndexerData` in case the data has been updated while it is in the queue. This also reduces the storage size of the queue. - Enhance searching with Bleve/Elasticsearch/Meilisearch, make them fully support `SearchOptions`. Also, update the data versions. - Keep most logic of database indexer, but remove `issues.SearchIssueIDsByKeyword` in `models` to avoid confusion where is the entry point to search issues. - Start a Meilisearch instance to test it in unit tests. - Add unit tests with almost full coverage to test Bleve/Elasticsearch/Meilisearch indexer. --------- Co-authored-by: Lunny Xiao <xiaolunwen@gmail.com>
2023-07-31 06:28:53 +00:00
}), result.Total)
},
},
{
Name: "updated",
SearchOptions: &internal.SearchOptions{
Paginator: &db.ListOptions{
PageSize: 5,
},
UpdatedAfterUnix: optional.Some(int64(20)),
UpdatedBeforeUnix: optional.Some(int64(30)),
Refactor and enhance issue indexer to support both searching, filtering and paging (#26012) Fix #24662. Replace #24822 and #25708 (although it has been merged) ## Background In the past, Gitea supported issue searching with a keyword and conditions in a less efficient way. It worked by searching for issues with the keyword and obtaining limited IDs (as it is heavy to get all) on the indexer (bleve/elasticsearch/meilisearch), and then querying with conditions on the database to find a subset of the found IDs. This is why the results could be incomplete. To solve this issue, we need to store all fields that could be used as conditions in the indexer and support both keyword and additional conditions when searching with the indexer. ## Major changes - Redefine `IndexerData` to include all fields that could be used as filter conditions. - Refactor `Search(ctx context.Context, kw string, repoIDs []int64, limit, start int, state string)` to `Search(ctx context.Context, options *SearchOptions)`, so it supports more conditions now. - Change the data type stored in `issueIndexerQueue`. Use `IndexerMetadata` instead of `IndexerData` in case the data has been updated while it is in the queue. This also reduces the storage size of the queue. - Enhance searching with Bleve/Elasticsearch/Meilisearch, make them fully support `SearchOptions`. Also, update the data versions. - Keep most logic of database indexer, but remove `issues.SearchIssueIDsByKeyword` in `models` to avoid confusion where is the entry point to search issues. - Start a Meilisearch instance to test it in unit tests. - Add unit tests with almost full coverage to test Bleve/Elasticsearch/Meilisearch indexer. --------- Co-authored-by: Lunny Xiao <xiaolunwen@gmail.com>
2023-07-31 06:28:53 +00:00
},
Expected: func(t *testing.T, data map[int64]*internal.IndexerData, result *internal.SearchResult) {
assert.Equal(t, 5, len(result.Hits))
for _, v := range result.Hits {
assert.GreaterOrEqual(t, data[v.ID].UpdatedUnix, int64(20))
assert.LessOrEqual(t, data[v.ID].UpdatedUnix, int64(30))
}
assert.Equal(t, countIndexerData(data, func(v *internal.IndexerData) bool {
return data[v.ID].UpdatedUnix >= 20 && data[v.ID].UpdatedUnix <= 30
}), result.Total)
},
},
{
Name: "SortByCreatedDesc",
SearchOptions: &internal.SearchOptions{
Paginator: &db.ListOptionsAll,
SortBy: internal.SortByCreatedDesc,
Refactor and enhance issue indexer to support both searching, filtering and paging (#26012) Fix #24662. Replace #24822 and #25708 (although it has been merged) ## Background In the past, Gitea supported issue searching with a keyword and conditions in a less efficient way. It worked by searching for issues with the keyword and obtaining limited IDs (as it is heavy to get all) on the indexer (bleve/elasticsearch/meilisearch), and then querying with conditions on the database to find a subset of the found IDs. This is why the results could be incomplete. To solve this issue, we need to store all fields that could be used as conditions in the indexer and support both keyword and additional conditions when searching with the indexer. ## Major changes - Redefine `IndexerData` to include all fields that could be used as filter conditions. - Refactor `Search(ctx context.Context, kw string, repoIDs []int64, limit, start int, state string)` to `Search(ctx context.Context, options *SearchOptions)`, so it supports more conditions now. - Change the data type stored in `issueIndexerQueue`. Use `IndexerMetadata` instead of `IndexerData` in case the data has been updated while it is in the queue. This also reduces the storage size of the queue. - Enhance searching with Bleve/Elasticsearch/Meilisearch, make them fully support `SearchOptions`. Also, update the data versions. - Keep most logic of database indexer, but remove `issues.SearchIssueIDsByKeyword` in `models` to avoid confusion where is the entry point to search issues. - Start a Meilisearch instance to test it in unit tests. - Add unit tests with almost full coverage to test Bleve/Elasticsearch/Meilisearch indexer. --------- Co-authored-by: Lunny Xiao <xiaolunwen@gmail.com>
2023-07-31 06:28:53 +00:00
},
Expected: func(t *testing.T, data map[int64]*internal.IndexerData, result *internal.SearchResult) {
assert.Equal(t, len(data), len(result.Hits))
assert.Equal(t, len(data), int(result.Total))
for i, v := range result.Hits {
if i < len(result.Hits)-1 {
assert.GreaterOrEqual(t, data[v.ID].CreatedUnix, data[result.Hits[i+1].ID].CreatedUnix)
}
}
},
},
{
Name: "SortByUpdatedDesc",
SearchOptions: &internal.SearchOptions{
Paginator: &db.ListOptionsAll,
SortBy: internal.SortByUpdatedDesc,
Refactor and enhance issue indexer to support both searching, filtering and paging (#26012) Fix #24662. Replace #24822 and #25708 (although it has been merged) ## Background In the past, Gitea supported issue searching with a keyword and conditions in a less efficient way. It worked by searching for issues with the keyword and obtaining limited IDs (as it is heavy to get all) on the indexer (bleve/elasticsearch/meilisearch), and then querying with conditions on the database to find a subset of the found IDs. This is why the results could be incomplete. To solve this issue, we need to store all fields that could be used as conditions in the indexer and support both keyword and additional conditions when searching with the indexer. ## Major changes - Redefine `IndexerData` to include all fields that could be used as filter conditions. - Refactor `Search(ctx context.Context, kw string, repoIDs []int64, limit, start int, state string)` to `Search(ctx context.Context, options *SearchOptions)`, so it supports more conditions now. - Change the data type stored in `issueIndexerQueue`. Use `IndexerMetadata` instead of `IndexerData` in case the data has been updated while it is in the queue. This also reduces the storage size of the queue. - Enhance searching with Bleve/Elasticsearch/Meilisearch, make them fully support `SearchOptions`. Also, update the data versions. - Keep most logic of database indexer, but remove `issues.SearchIssueIDsByKeyword` in `models` to avoid confusion where is the entry point to search issues. - Start a Meilisearch instance to test it in unit tests. - Add unit tests with almost full coverage to test Bleve/Elasticsearch/Meilisearch indexer. --------- Co-authored-by: Lunny Xiao <xiaolunwen@gmail.com>
2023-07-31 06:28:53 +00:00
},
Expected: func(t *testing.T, data map[int64]*internal.IndexerData, result *internal.SearchResult) {
assert.Equal(t, len(data), len(result.Hits))
assert.Equal(t, len(data), int(result.Total))
for i, v := range result.Hits {
if i < len(result.Hits)-1 {
assert.GreaterOrEqual(t, data[v.ID].UpdatedUnix, data[result.Hits[i+1].ID].UpdatedUnix)
}
}
},
},
{
Name: "SortByCommentsDesc",
SearchOptions: &internal.SearchOptions{
Paginator: &db.ListOptionsAll,
SortBy: internal.SortByCommentsDesc,
Refactor and enhance issue indexer to support both searching, filtering and paging (#26012) Fix #24662. Replace #24822 and #25708 (although it has been merged) ## Background In the past, Gitea supported issue searching with a keyword and conditions in a less efficient way. It worked by searching for issues with the keyword and obtaining limited IDs (as it is heavy to get all) on the indexer (bleve/elasticsearch/meilisearch), and then querying with conditions on the database to find a subset of the found IDs. This is why the results could be incomplete. To solve this issue, we need to store all fields that could be used as conditions in the indexer and support both keyword and additional conditions when searching with the indexer. ## Major changes - Redefine `IndexerData` to include all fields that could be used as filter conditions. - Refactor `Search(ctx context.Context, kw string, repoIDs []int64, limit, start int, state string)` to `Search(ctx context.Context, options *SearchOptions)`, so it supports more conditions now. - Change the data type stored in `issueIndexerQueue`. Use `IndexerMetadata` instead of `IndexerData` in case the data has been updated while it is in the queue. This also reduces the storage size of the queue. - Enhance searching with Bleve/Elasticsearch/Meilisearch, make them fully support `SearchOptions`. Also, update the data versions. - Keep most logic of database indexer, but remove `issues.SearchIssueIDsByKeyword` in `models` to avoid confusion where is the entry point to search issues. - Start a Meilisearch instance to test it in unit tests. - Add unit tests with almost full coverage to test Bleve/Elasticsearch/Meilisearch indexer. --------- Co-authored-by: Lunny Xiao <xiaolunwen@gmail.com>
2023-07-31 06:28:53 +00:00
},
Expected: func(t *testing.T, data map[int64]*internal.IndexerData, result *internal.SearchResult) {
assert.Equal(t, len(data), len(result.Hits))
assert.Equal(t, len(data), int(result.Total))
for i, v := range result.Hits {
if i < len(result.Hits)-1 {
assert.GreaterOrEqual(t, data[v.ID].CommentCount, data[result.Hits[i+1].ID].CommentCount)
}
}
},
},
{
Name: "SortByDeadlineDesc",
SearchOptions: &internal.SearchOptions{
Paginator: &db.ListOptionsAll,
SortBy: internal.SortByDeadlineDesc,
Refactor and enhance issue indexer to support both searching, filtering and paging (#26012) Fix #24662. Replace #24822 and #25708 (although it has been merged) ## Background In the past, Gitea supported issue searching with a keyword and conditions in a less efficient way. It worked by searching for issues with the keyword and obtaining limited IDs (as it is heavy to get all) on the indexer (bleve/elasticsearch/meilisearch), and then querying with conditions on the database to find a subset of the found IDs. This is why the results could be incomplete. To solve this issue, we need to store all fields that could be used as conditions in the indexer and support both keyword and additional conditions when searching with the indexer. ## Major changes - Redefine `IndexerData` to include all fields that could be used as filter conditions. - Refactor `Search(ctx context.Context, kw string, repoIDs []int64, limit, start int, state string)` to `Search(ctx context.Context, options *SearchOptions)`, so it supports more conditions now. - Change the data type stored in `issueIndexerQueue`. Use `IndexerMetadata` instead of `IndexerData` in case the data has been updated while it is in the queue. This also reduces the storage size of the queue. - Enhance searching with Bleve/Elasticsearch/Meilisearch, make them fully support `SearchOptions`. Also, update the data versions. - Keep most logic of database indexer, but remove `issues.SearchIssueIDsByKeyword` in `models` to avoid confusion where is the entry point to search issues. - Start a Meilisearch instance to test it in unit tests. - Add unit tests with almost full coverage to test Bleve/Elasticsearch/Meilisearch indexer. --------- Co-authored-by: Lunny Xiao <xiaolunwen@gmail.com>
2023-07-31 06:28:53 +00:00
},
Expected: func(t *testing.T, data map[int64]*internal.IndexerData, result *internal.SearchResult) {
assert.Equal(t, len(data), len(result.Hits))
assert.Equal(t, len(data), int(result.Total))
for i, v := range result.Hits {
if i < len(result.Hits)-1 {
assert.GreaterOrEqual(t, data[v.ID].DeadlineUnix, data[result.Hits[i+1].ID].DeadlineUnix)
}
}
},
},
{
Name: "SortByCreatedAsc",
SearchOptions: &internal.SearchOptions{
Paginator: &db.ListOptionsAll,
SortBy: internal.SortByCreatedAsc,
Refactor and enhance issue indexer to support both searching, filtering and paging (#26012) Fix #24662. Replace #24822 and #25708 (although it has been merged) ## Background In the past, Gitea supported issue searching with a keyword and conditions in a less efficient way. It worked by searching for issues with the keyword and obtaining limited IDs (as it is heavy to get all) on the indexer (bleve/elasticsearch/meilisearch), and then querying with conditions on the database to find a subset of the found IDs. This is why the results could be incomplete. To solve this issue, we need to store all fields that could be used as conditions in the indexer and support both keyword and additional conditions when searching with the indexer. ## Major changes - Redefine `IndexerData` to include all fields that could be used as filter conditions. - Refactor `Search(ctx context.Context, kw string, repoIDs []int64, limit, start int, state string)` to `Search(ctx context.Context, options *SearchOptions)`, so it supports more conditions now. - Change the data type stored in `issueIndexerQueue`. Use `IndexerMetadata` instead of `IndexerData` in case the data has been updated while it is in the queue. This also reduces the storage size of the queue. - Enhance searching with Bleve/Elasticsearch/Meilisearch, make them fully support `SearchOptions`. Also, update the data versions. - Keep most logic of database indexer, but remove `issues.SearchIssueIDsByKeyword` in `models` to avoid confusion where is the entry point to search issues. - Start a Meilisearch instance to test it in unit tests. - Add unit tests with almost full coverage to test Bleve/Elasticsearch/Meilisearch indexer. --------- Co-authored-by: Lunny Xiao <xiaolunwen@gmail.com>
2023-07-31 06:28:53 +00:00
},
Expected: func(t *testing.T, data map[int64]*internal.IndexerData, result *internal.SearchResult) {
assert.Equal(t, len(data), len(result.Hits))
assert.Equal(t, len(data), int(result.Total))
for i, v := range result.Hits {
if i < len(result.Hits)-1 {
assert.LessOrEqual(t, data[v.ID].CreatedUnix, data[result.Hits[i+1].ID].CreatedUnix)
}
}
},
},
{
Name: "SortByUpdatedAsc",
SearchOptions: &internal.SearchOptions{
Paginator: &db.ListOptionsAll,
SortBy: internal.SortByUpdatedAsc,
Refactor and enhance issue indexer to support both searching, filtering and paging (#26012) Fix #24662. Replace #24822 and #25708 (although it has been merged) ## Background In the past, Gitea supported issue searching with a keyword and conditions in a less efficient way. It worked by searching for issues with the keyword and obtaining limited IDs (as it is heavy to get all) on the indexer (bleve/elasticsearch/meilisearch), and then querying with conditions on the database to find a subset of the found IDs. This is why the results could be incomplete. To solve this issue, we need to store all fields that could be used as conditions in the indexer and support both keyword and additional conditions when searching with the indexer. ## Major changes - Redefine `IndexerData` to include all fields that could be used as filter conditions. - Refactor `Search(ctx context.Context, kw string, repoIDs []int64, limit, start int, state string)` to `Search(ctx context.Context, options *SearchOptions)`, so it supports more conditions now. - Change the data type stored in `issueIndexerQueue`. Use `IndexerMetadata` instead of `IndexerData` in case the data has been updated while it is in the queue. This also reduces the storage size of the queue. - Enhance searching with Bleve/Elasticsearch/Meilisearch, make them fully support `SearchOptions`. Also, update the data versions. - Keep most logic of database indexer, but remove `issues.SearchIssueIDsByKeyword` in `models` to avoid confusion where is the entry point to search issues. - Start a Meilisearch instance to test it in unit tests. - Add unit tests with almost full coverage to test Bleve/Elasticsearch/Meilisearch indexer. --------- Co-authored-by: Lunny Xiao <xiaolunwen@gmail.com>
2023-07-31 06:28:53 +00:00
},
Expected: func(t *testing.T, data map[int64]*internal.IndexerData, result *internal.SearchResult) {
assert.Equal(t, len(data), len(result.Hits))
assert.Equal(t, len(data), int(result.Total))
for i, v := range result.Hits {
if i < len(result.Hits)-1 {
assert.LessOrEqual(t, data[v.ID].UpdatedUnix, data[result.Hits[i+1].ID].UpdatedUnix)
}
}
},
},
{
Name: "SortByCommentsAsc",
SearchOptions: &internal.SearchOptions{
Paginator: &db.ListOptionsAll,
SortBy: internal.SortByCommentsAsc,
Refactor and enhance issue indexer to support both searching, filtering and paging (#26012) Fix #24662. Replace #24822 and #25708 (although it has been merged) ## Background In the past, Gitea supported issue searching with a keyword and conditions in a less efficient way. It worked by searching for issues with the keyword and obtaining limited IDs (as it is heavy to get all) on the indexer (bleve/elasticsearch/meilisearch), and then querying with conditions on the database to find a subset of the found IDs. This is why the results could be incomplete. To solve this issue, we need to store all fields that could be used as conditions in the indexer and support both keyword and additional conditions when searching with the indexer. ## Major changes - Redefine `IndexerData` to include all fields that could be used as filter conditions. - Refactor `Search(ctx context.Context, kw string, repoIDs []int64, limit, start int, state string)` to `Search(ctx context.Context, options *SearchOptions)`, so it supports more conditions now. - Change the data type stored in `issueIndexerQueue`. Use `IndexerMetadata` instead of `IndexerData` in case the data has been updated while it is in the queue. This also reduces the storage size of the queue. - Enhance searching with Bleve/Elasticsearch/Meilisearch, make them fully support `SearchOptions`. Also, update the data versions. - Keep most logic of database indexer, but remove `issues.SearchIssueIDsByKeyword` in `models` to avoid confusion where is the entry point to search issues. - Start a Meilisearch instance to test it in unit tests. - Add unit tests with almost full coverage to test Bleve/Elasticsearch/Meilisearch indexer. --------- Co-authored-by: Lunny Xiao <xiaolunwen@gmail.com>
2023-07-31 06:28:53 +00:00
},
Expected: func(t *testing.T, data map[int64]*internal.IndexerData, result *internal.SearchResult) {
assert.Equal(t, len(data), len(result.Hits))
assert.Equal(t, len(data), int(result.Total))
for i, v := range result.Hits {
if i < len(result.Hits)-1 {
assert.LessOrEqual(t, data[v.ID].CommentCount, data[result.Hits[i+1].ID].CommentCount)
}
}
},
},
{
Name: "SortByDeadlineAsc",
SearchOptions: &internal.SearchOptions{
Paginator: &db.ListOptionsAll,
SortBy: internal.SortByDeadlineAsc,
Refactor and enhance issue indexer to support both searching, filtering and paging (#26012) Fix #24662. Replace #24822 and #25708 (although it has been merged) ## Background In the past, Gitea supported issue searching with a keyword and conditions in a less efficient way. It worked by searching for issues with the keyword and obtaining limited IDs (as it is heavy to get all) on the indexer (bleve/elasticsearch/meilisearch), and then querying with conditions on the database to find a subset of the found IDs. This is why the results could be incomplete. To solve this issue, we need to store all fields that could be used as conditions in the indexer and support both keyword and additional conditions when searching with the indexer. ## Major changes - Redefine `IndexerData` to include all fields that could be used as filter conditions. - Refactor `Search(ctx context.Context, kw string, repoIDs []int64, limit, start int, state string)` to `Search(ctx context.Context, options *SearchOptions)`, so it supports more conditions now. - Change the data type stored in `issueIndexerQueue`. Use `IndexerMetadata` instead of `IndexerData` in case the data has been updated while it is in the queue. This also reduces the storage size of the queue. - Enhance searching with Bleve/Elasticsearch/Meilisearch, make them fully support `SearchOptions`. Also, update the data versions. - Keep most logic of database indexer, but remove `issues.SearchIssueIDsByKeyword` in `models` to avoid confusion where is the entry point to search issues. - Start a Meilisearch instance to test it in unit tests. - Add unit tests with almost full coverage to test Bleve/Elasticsearch/Meilisearch indexer. --------- Co-authored-by: Lunny Xiao <xiaolunwen@gmail.com>
2023-07-31 06:28:53 +00:00
},
Expected: func(t *testing.T, data map[int64]*internal.IndexerData, result *internal.SearchResult) {
assert.Equal(t, len(data), len(result.Hits))
assert.Equal(t, len(data), int(result.Total))
for i, v := range result.Hits {
if i < len(result.Hits)-1 {
assert.LessOrEqual(t, data[v.ID].DeadlineUnix, data[result.Hits[i+1].ID].DeadlineUnix)
}
}
},
},
}
type testIndexerCase struct {
Name string
ExtraData []*internal.IndexerData
SearchOptions *internal.SearchOptions
Expected func(t *testing.T, data map[int64]*internal.IndexerData, result *internal.SearchResult) // if nil, use ExpectedIDs, ExpectedTotal
ExpectedIDs []int64
ExpectedTotal int64
}
func generateDefaultIndexerData() []*internal.IndexerData {
var id int64
var data []*internal.IndexerData
for repoID := int64(1); repoID <= 10; repoID++ {
for issueIndex := int64(1); issueIndex <= 20; issueIndex++ {
id++
comments := make([]string, id%4)
for i := range comments {
comments[i] = fmt.Sprintf("comment%d", i)
}
labelIDs := make([]int64, id%5)
for i := range labelIDs {
labelIDs[i] = int64(i) + 1 // LabelID should not be 0
}
mentionIDs := make([]int64, id%6)
for i := range mentionIDs {
mentionIDs[i] = int64(i) + 1 // MentionID should not be 0
}
reviewedIDs := make([]int64, id%7)
for i := range reviewedIDs {
reviewedIDs[i] = int64(i) + 1 // ReviewID should not be 0
}
reviewRequestedIDs := make([]int64, id%8)
for i := range reviewRequestedIDs {
reviewRequestedIDs[i] = int64(i) + 1 // ReviewRequestedID should not be 0
}
subscriberIDs := make([]int64, id%9)
for i := range subscriberIDs {
subscriberIDs[i] = int64(i) + 1 // SubscriberID should not be 0
}
data = append(data, &internal.IndexerData{
ID: id,
RepoID: repoID,
IsPublic: repoID%2 == 0,
Title: fmt.Sprintf("issue%d of repo%d", issueIndex, repoID),
Content: fmt.Sprintf("content%d", issueIndex),
Comments: comments,
IsPull: issueIndex%2 == 0,
IsClosed: issueIndex%3 == 0,
LabelIDs: labelIDs,
NoLabel: len(labelIDs) == 0,
MilestoneID: issueIndex % 4,
ProjectID: issueIndex % 5,
ProjectBoardID: issueIndex % 6,
PosterID: id%10 + 1, // PosterID should not be 0
AssigneeID: issueIndex % 10,
MentionIDs: mentionIDs,
ReviewedIDs: reviewedIDs,
ReviewRequestedIDs: reviewRequestedIDs,
SubscriberIDs: subscriberIDs,
UpdatedUnix: timeutil.TimeStamp(id + issueIndex),
CreatedUnix: timeutil.TimeStamp(id),
DeadlineUnix: timeutil.TimeStamp(id + issueIndex + repoID),
CommentCount: int64(len(comments)),
})
}
}
return data
}
func countIndexerData(data map[int64]*internal.IndexerData, f func(v *internal.IndexerData) bool) int64 {
var count int64
for _, v := range data {
if f(v) {
count++
}
}
return count
}
// waitData waits for the indexer to index all data.
// Some engines like Elasticsearch index data asynchronously, so we need to wait for a while.
func waitData(indexer internal.Indexer, total int64) error {
var actual int64
for i := 0; i < 100; i++ {
result, err := indexer.Search(context.Background(), &internal.SearchOptions{
Paginator: &db.ListOptions{
PageSize: 0,
},
})
if err != nil {
return err
}
actual = result.Total
if actual == total {
return nil
}
time.Sleep(100 * time.Millisecond)
}
return fmt.Errorf("waitData: expected %d, actual %d", total, actual)
}