photoprism/internal/query/geo.go
Michael Mayer 5648c9616e Backend: Refactor location data tables and entities
Signed-off-by: Michael Mayer <michael@liquidbytes.net>
2020-07-12 08:27:05 +02:00

204 lines
5.9 KiB
Go

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