mirror of
https://github.com/navidrome/navidrome.git
synced 2026-10-08 02:17:25 +02:00
170 lines
6 KiB
Go
170 lines
6 KiB
Go
package persistence
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import (
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"context"
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"fmt"
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"regexp"
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"github.com/navidrome/navidrome/conf"
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"github.com/navidrome/navidrome/conf/configtest"
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"github.com/navidrome/navidrome/log"
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"github.com/navidrome/navidrome/model"
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"github.com/navidrome/navidrome/model/request"
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. "github.com/onsi/ginkgo/v2"
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. "github.com/onsi/gomega"
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)
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var _ = Describe("newLegacySearch", func() {
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It("returns non-nil for single-character query", func() {
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strategy := newLegacySearch("media_file", "a")
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Expect(strategy).ToNot(BeNil(), "single-char queries must not be rejected; min-length is enforced in doSearch, not here")
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sql, _, err := strategy.ToSql()
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Expect(err).ToNot(HaveOccurred())
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Expect(sql).To(ContainSubstring("LIKE"))
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})
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})
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var _ = Describe("legacySearchExpr", func() {
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It("returns nil for empty query", func() {
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Expect(legacySearchExpr("media_file", "")).To(BeNil())
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})
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It("generates LIKE filter for single word", func() {
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expr := legacySearchExpr("media_file", "beatles")
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sql, args, err := expr.ToSql()
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Expect(err).ToNot(HaveOccurred())
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Expect(sql).To(ContainSubstring("media_file.full_text LIKE"))
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Expect(args).To(ContainElement("% beatles%"))
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})
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It("generates AND of LIKE filters for multiple words", func() {
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expr := legacySearchExpr("media_file", "abbey road")
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sql, args, err := expr.ToSql()
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Expect(err).ToNot(HaveOccurred())
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Expect(sql).To(ContainSubstring("AND"))
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Expect(args).To(HaveLen(2))
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})
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})
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var _ = Describe("likeSearchExpr", func() {
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It("returns nil for empty query", func() {
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Expect(likeSearchExpr("media_file", "")).To(BeNil())
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})
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It("returns nil for whitespace-only query", func() {
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Expect(likeSearchExpr("media_file", " ")).To(BeNil())
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})
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It("generates LIKE filters against core columns for single CJK word", func() {
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expr := likeSearchExpr("media_file", "周杰伦")
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sql, args, err := expr.ToSql()
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Expect(err).ToNot(HaveOccurred())
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// Should have OR between columns for the single word
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Expect(sql).To(ContainSubstring("OR"))
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Expect(sql).To(ContainSubstring("media_file.title LIKE"))
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Expect(sql).To(ContainSubstring("media_file.album LIKE"))
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Expect(sql).To(ContainSubstring("media_file.artist LIKE"))
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Expect(sql).To(ContainSubstring("media_file.album_artist LIKE"))
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Expect(args).To(HaveLen(4))
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for _, arg := range args {
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Expect(arg).To(Equal("%周杰伦%"))
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}
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})
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It("generates AND of OR groups for multi-word query", func() {
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expr := likeSearchExpr("media_file", "周杰伦 greatest")
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sql, args, err := expr.ToSql()
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Expect(err).ToNot(HaveOccurred())
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// Two groups AND'd together, each with 4 columns OR'd
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Expect(sql).To(ContainSubstring("AND"))
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Expect(args).To(HaveLen(8))
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})
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It("uses correct columns for album table", func() {
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expr := likeSearchExpr("album", "周杰伦")
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sql, args, err := expr.ToSql()
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Expect(err).ToNot(HaveOccurred())
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Expect(sql).To(ContainSubstring("album.name LIKE"))
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Expect(sql).To(ContainSubstring("album.album_artist LIKE"))
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Expect(args).To(HaveLen(2))
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})
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It("uses correct columns for artist table", func() {
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expr := likeSearchExpr("artist", "周杰伦")
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sql, args, err := expr.ToSql()
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Expect(err).ToNot(HaveOccurred())
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Expect(sql).To(ContainSubstring("artist.name LIKE"))
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Expect(args).To(HaveLen(1))
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})
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It("returns nil for unknown table", func() {
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Expect(likeSearchExpr("unknown_table", "周杰伦")).To(BeNil())
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})
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})
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var _ = Describe("Legacy Integration Search", func() {
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var mr model.MediaFileRepository
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var ctx context.Context
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BeforeEach(func() {
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ctx = request.WithUser(log.NewContext(GinkgoT().Context()), adminUser)
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DeferCleanup(configtest.SetupConfig())
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conf.Server.Search.Backend = "legacy"
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conn := GetDBXBuilder()
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mr = NewMediaFileRepository(conn)
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})
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It("returns results using legacy LIKE-based search", func() {
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results, err := mr.Search(ctx, "Radioactivity", model.QueryOptions{Max: 10})
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Expect(err).ToNot(HaveOccurred())
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Expect(results).To(HaveLen(1))
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Expect(results[0].Title).To(Equal("Radioactivity"))
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})
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It("returns empty results for single-char query (doSearch min-length guard)", func() {
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results, err := mr.Search(ctx, "a", model.QueryOptions{Max: 10})
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Expect(err).ToNot(HaveOccurred())
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Expect(results).To(BeEmpty(), "doSearch should reject single-char queries")
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})
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It("returns results with Max=0 (regression: must not produce LIMIT 0)", func() {
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results, err := mr.Search(ctx, "Beatles", model.QueryOptions{Max: 0})
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Expect(err).ToNot(HaveOccurred())
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Expect(results).ToNot(BeEmpty(), "Max=0 should mean no limit, not LIMIT 0")
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})
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})
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// Guards the invariant that every column searched by the LIKE fallback has a COLLATE NOCASE
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// covering index (migration add_like_search_covering_indexes). Without it a CJK/punctuation
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// search does a full table scan. If you add a column to likeSearchColumns without an index,
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// this test fails — keep the two in sync.
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var _ = Describe("likeSearchColumns covering indexes", func() {
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It("has a COLLATE NOCASE index for every searched column", func() {
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var indexSQLs []string
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err := GetDBXBuilder().
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NewQuery("SELECT sql FROM sqlite_master WHERE type='index' AND sql IS NOT NULL").
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Column(&indexSQLs)
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Expect(err).ToNot(HaveOccurred())
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for table, columns := range likeSearchColumns {
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// Match the index's target table precisely: "ON <table> (" (case-insensitive).
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tableRe := regexp.MustCompile(`(?i)\bon\s+` + regexp.QuoteMeta(table) + `\s*\(`)
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for _, col := range columns {
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// Match e.g. "(title COLLATE NOCASE)" — column immediately followed by the
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// NOCASE collation, case-insensitive (SQLite emits both "COLLATE" and "collate").
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colRe := regexp.MustCompile(`(?i)\b` + regexp.QuoteMeta(col) + `\s+collate\s+nocase\b`)
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found := false
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for _, sql := range indexSQLs {
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if tableRe.MatchString(sql) && colRe.MatchString(sql) {
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found = true
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break
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}
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}
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Expect(found).To(BeTrue(),
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fmt.Sprintf("missing COLLATE NOCASE index for %s.%s — add it to the "+
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"add_like_search_covering_indexes migration to keep LIKE search fast", table, col))
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}
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}
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})
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})
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