209 lines
6.2 KiB
Go
209 lines
6.2 KiB
Go
package query
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import (
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"fmt"
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"strings"
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"time"
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"github.com/photoprism/photoprism/pkg/fs"
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"github.com/jinzhu/gorm"
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"github.com/photoprism/photoprism/internal/entity"
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"github.com/photoprism/photoprism/internal/form"
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"github.com/photoprism/photoprism/pkg/capture"
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"github.com/photoprism/photoprism/pkg/pluscode"
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"github.com/photoprism/photoprism/pkg/s2"
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"github.com/photoprism/photoprism/pkg/txt"
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)
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// Geo searches for photos based on Form values and returns GeoResults ([]GeoResult).
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func Geo(f form.GeoSearch) (results GeoResults, err error) {
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start := time.Now()
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if err := f.ParseQueryString(); err != nil {
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return results, err
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}
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defer log.Debug(capture.Time(time.Now(), fmt.Sprintf("geo: search %s", form.Serialize(f, true))))
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s := UnscopedDb()
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// s.LogMode(true)
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s = s.Table("photos").
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Select(`photos.id, photos.photo_uid, photos.photo_type, photos.photo_lat, photos.photo_lng,
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photos.photo_title, photos.photo_description, photos.photo_favorite, photos.taken_at, files.file_hash, files.file_width,
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files.file_height`).
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Joins(`JOIN files ON files.photo_id = photos.id AND
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files.file_missing = 0 AND files.file_primary AND files.deleted_at IS NULL`).
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Where("photos.deleted_at IS NULL").
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Where("photos.photo_lat <> 0")
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f.Query = txt.Clip(f.Query, txt.ClipKeyword)
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if f.Query != "" {
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// Filter by label, label category and keywords.
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var categories []entity.Category
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var labels []entity.Label
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var labelIds []uint
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if len(f.Query) < 2 {
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return results, fmt.Errorf("query too short")
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}
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if err := Db().Where(AnySlug("custom_slug", f.Query, " ")).Find(&labels).Error; len(labels) == 0 || err != nil {
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log.Infof("search: label %s not found, using fuzzy search", txt.Quote(f.Query))
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if likeAny := LikeAny("k.keyword", f.Query); likeAny != "" {
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s = s.Where("photos.id IN (SELECT pk.photo_id FROM keywords k JOIN photos_keywords pk ON k.id = pk.keyword_id WHERE (?))", gorm.Expr(likeAny))
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}
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} else {
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for _, l := range labels {
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labelIds = append(labelIds, l.ID)
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Db().Where("category_id = ?", l.ID).Find(&categories)
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log.Infof("search: label %s includes %d categories", txt.Quote(l.LabelName), len(categories))
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for _, category := range categories {
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labelIds = append(labelIds, category.LabelID)
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}
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}
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if likeAny := LikeAny("k.keyword", f.Query); likeAny != "" {
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s = s.Where("photos.id IN (SELECT pk.photo_id FROM keywords k JOIN photos_keywords pk ON k.id = pk.keyword_id WHERE (?)) OR "+
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"photos.id IN (SELECT pl.photo_id FROM photos_labels pl WHERE pl.uncertainty < 100 AND pl.label_id IN (?))", gorm.Expr(likeAny), labelIds)
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} else {
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s = s.Where("photos.id IN (SELECT pl.photo_id FROM photos_labels pl WHERE pl.uncertainty < 100 AND pl.label_id IN (?))", labelIds)
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}
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}
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}
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if f.Album != "" {
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s = s.Joins("JOIN photos_albums ON photos_albums.photo_uid = photos.photo_uid").Where("photos_albums.hidden = 0 AND photos_albums.album_uid = ?", f.Album)
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}
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if f.Camera > 0 {
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s = s.Where("photos.camera_id = ?", f.Camera)
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}
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if f.Lens > 0 {
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s = s.Where("photos.lens_id = ?", f.Lens)
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}
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if (f.Year > 0 && f.Year <= txt.YearMax) || f.Year == entity.YearUnknown {
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s = s.Where("photos.photo_year = ?", f.Year)
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}
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if (f.Month >= txt.MonthMin && f.Month <= txt.MonthMax) || f.Month == entity.MonthUnknown {
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s = s.Where("photos.photo_month = ?", f.Month)
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}
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if f.Color != "" {
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s = s.Where("files.file_main_color IN (?)", strings.Split(strings.ToLower(f.Color), Or))
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}
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if f.Favorite {
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s = s.Where("photos.photo_favorite = 1")
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}
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if f.Country != "" {
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s = s.Where("photos.photo_country IN (?)", strings.Split(strings.ToLower(f.Country), Or))
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}
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// Filter by media type.
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if f.Type != "" {
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s = s.Where("photos.photo_type IN (?)", strings.Split(strings.ToLower(f.Type), Or))
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}
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if f.Video {
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s = s.Where("photos.photo_type = 'video'")
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} else if f.Photo {
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s = s.Where("photos.photo_type IN ('image','raw','live')")
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}
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if f.Path != "" {
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p := f.Path
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if strings.HasPrefix(p, "/") {
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p = p[1:]
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}
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if strings.HasSuffix(p, "/") {
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s = s.Where("photos.photo_path = ?", p[:len(p)-1])
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} else if strings.Contains(p, Or) {
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s = s.Where("photos.photo_path IN (?)", strings.Split(p, Or))
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} else {
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s = s.Where("photos.photo_path LIKE ?", strings.ReplaceAll(p, "*", "%"))
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}
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}
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if strings.Contains(f.Name, Or) {
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s = s.Where("photos.photo_name IN (?)", strings.Split(f.Name, Or))
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} else if f.Name != "" {
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s = s.Where("photos.photo_name LIKE ?", strings.ReplaceAll(fs.StripKnownExt(f.Name), "*", "%"))
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}
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// Filter by status.
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if f.Archived {
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s = s.Where("photos.photo_quality > -1")
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s = s.Where("photos.deleted_at IS NOT NULL")
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} else {
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s = s.Where("photos.deleted_at IS NULL")
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if f.Private {
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s = s.Where("photos.photo_private = 1")
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} else if f.Public {
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s = s.Where("photos.photo_private = 0")
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}
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if f.Review {
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s = s.Where("photos.photo_quality < 3")
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} else if f.Quality != 0 && f.Private == false {
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s = s.Where("photos.photo_quality >= ?", f.Quality)
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}
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}
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if f.Favorite {
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s = s.Where("photos.photo_favorite = 1")
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}
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if f.S2 != "" {
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s2Min, s2Max := s2.PrefixedRange(f.S2, 7)
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s = s.Where("photos.cell_id BETWEEN ? AND ?", s2Min, s2Max)
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} else if f.Olc != "" {
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s2Min, s2Max := s2.PrefixedRange(pluscode.S2(f.Olc), 7)
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s = s.Where("photos.cell_id BETWEEN ? AND ?", s2Min, s2Max)
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} else {
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// Inaccurate distance search, but probably 'good enough' for now
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if f.Lat > 0 {
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latMin := f.Lat - SearchRadius*float32(f.Dist)
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latMax := f.Lat + SearchRadius*float32(f.Dist)
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s = s.Where("photos.photo_lat BETWEEN ? AND ?", latMin, latMax)
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}
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if f.Lng > 0 {
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lngMin := f.Lng - SearchRadius*float32(f.Dist)
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lngMax := f.Lng + SearchRadius*float32(f.Dist)
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s = s.Where("photos.photo_lng BETWEEN ? AND ?", lngMin, lngMax)
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}
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}
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if !f.Before.IsZero() {
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s = s.Where("photos.taken_at <= ?", f.Before.Format("2006-01-02"))
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}
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if !f.After.IsZero() {
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s = s.Where("photos.taken_at >= ?", f.After.Format("2006-01-02"))
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}
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s = s.Order("taken_at, photos.photo_uid")
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if result := s.Scan(&results); result.Error != nil {
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return results, result.Error
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}
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log.Infof("geo: found %d photos for %s [%s]", len(results), f.SerializeAll(), time.Since(start))
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return results, nil
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}
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