Get some amount of random bookmarks
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@ -72,6 +72,7 @@ func (s Store[T]) GetMany(ctx context.Context, filter *bson.D) ([]*T, error) {
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}
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return res, nil
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}
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func (s Store[T]) DeleteByID(ctx context.Context, id primitive.ObjectID) error {
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_, err := s.Coll.DeleteOne(ctx, bson.D{{Key: "_id", Value: id}})
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return err
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@ -81,10 +82,3 @@ func (s Store[T]) ReplaceByID(ctx context.Context, id primitive.ObjectID, item *
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_, err := s.Coll.ReplaceOne(ctx, bson.D{{Key: "_id", Value: id}}, item)
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return err
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}
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func getFilter(f *bson.D) bson.D {
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if f == nil {
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return bson.D{}
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}
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return *f
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}
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@ -2,6 +2,9 @@ package storage
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import (
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"context"
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"log"
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"net/url"
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"strings"
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"go.mongodb.org/mongo-driver/bson"
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"go.mongodb.org/mongo-driver/bson/primitive"
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@ -96,6 +99,23 @@ func (m MongodbStorage) GetBookmarks(filter *bson.D) ([]*Bookmark, error) {
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return store.GetMany(ctx, filter)
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}
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func (m MongodbStorage) GetRandomBookmarks(count int, filter *bson.D) ([]*Bookmark, error) {
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passedFilter := getFilter(filter)
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ctx := context.TODO()
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store := NewStore[Bookmark](&m, "bookmarks")
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bookmarks := []*Bookmark{}
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cur, err := store.Coll.Aggregate(ctx, bson.A{
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bson.D{{Key: "$match", Value: passedFilter}},
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bson.D{{Key: "$sample", Value: bson.D{bson.E{Key: "size", Value: count}}}},
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})
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if err != nil {
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log.Println("Cant aggregate random bookmakrs: ", err)
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return bookmarks, err
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}
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cur.All(ctx, &bookmarks)
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return bookmarks, err
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}
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func (m MongodbStorage) GetUserBookmarks(user *User, filter *bson.D) ([]*Bookmark, error) {
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passedFilter := getFilter(filter)
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f := bson.D{{Key: "userid", Value: user.Id}}
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@ -108,3 +128,27 @@ func (m MongodbStorage) GetUserBookmarks(user *User, filter *bson.D) ([]*Bookmar
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func (m MongodbStorage) Collection(col string) *mongo.Collection {
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return m.Db.Database("nash").Collection(col)
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}
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func getFilter(f *bson.D) bson.D {
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if f == nil {
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return bson.D{}
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}
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return *f
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}
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func QueryFilter(q *url.Values) bson.D {
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filter := bson.D{}
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for k, v := range *q {
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var f bson.E
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q := strings.Split(k, "_")
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if len(q) == 1 { // If param is like "name" or "url" we're using exact matching
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f = bson.E{Key: k, Value: v[0]}
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} else {
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if q[1] == "like" { // If it's like "name_like", we're using regex
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f = bson.E{Key: q[0], Value: bson.D{{Key: "$regex", Value: v[0]}}}
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}
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}
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filter = append(filter, f) // Applying query filters to user filter
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}
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return filter
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}
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