示例#1
0
def get_track_listen_milestones(limit=100):
    db = get_db_read_replica()

    with db.scoped_session() as session:
        results = (session.query(
            Play.play_item_id.distinct().label('play_item_id'),
            func.max(Play.created_at).label('max')).group_by(
                Play.play_item_id).order_by(desc("max")).limit(limit).all())

        track_ids = [result[0] for result in results]
        track_id_play_counts = get_track_play_counts(session, track_ids)

    return track_id_play_counts
示例#2
0
def search_track_tags(session, args):
    """
    Gets the tracks with a given tag

    Args:
        session: sqlalchemy db session instance
        args: dict of arguments
        args.search_str: string the tag search string
        args.current_user_id: id | null The user id making the query
        args.limit: number the query limit of number of returns tracks
        args.offset: number the query offset for results

    Returns:
        list of tracks sorted by play count
    """

    track_ids = (session.query(TagTrackUserMatview.track_id).filter(
        TagTrackUserMatview.tag == args["search_str"].lower()).all())

    # track_ids is list of tuples - simplify to 1-D list
    track_ids = [i[0] for i in track_ids]

    tracks = (session.query(Track).filter(
        Track.is_current == True,
        Track.is_delete == False,
        Track.is_unlisted == False,
        Track.stem_of == None,
        Track.track_id.in_(track_ids),
    ).all())

    tracks = helpers.query_result_to_list(tracks)
    track_play_counts = get_track_play_counts(session, track_ids)

    tracks = populate_track_metadata(session, track_ids, tracks,
                                     args["current_user_id"])

    for track in tracks:
        track_id = track["track_id"]
        track[response_name_constants.play_count] = track_play_counts.get(
            track_id, 0)

    play_count_sorted_tracks = sorted(
        tracks,
        key=lambda i: i[response_name_constants.play_count],
        reverse=True)

    # Add pagination parameters to track and user results
    play_count_sorted_tracks = play_count_sorted_tracks[slice(
        args["offset"], args["offset"] + args["limit"], 1)]

    return play_count_sorted_tracks
def search_tags():
    search_str = request.args.get("query", type=str)
    current_user_id = get_current_user_id(required=False)
    if not search_str:
        raise exceptions.ArgumentError("Invalid value for parameter 'query'")

    user_tag_count = request.args.get("user_tag_count", type=str)
    if not user_tag_count:
        user_tag_count = "2"

    kind = request.args.get("kind", type=str, default="all")
    validSearchKinds = [SearchKind.all, SearchKind.tracks, SearchKind.users]
    try:
        searchKind = SearchKind[kind]
        if searchKind not in validSearchKinds:
            raise Exception
    except Exception:
        return api_helpers.error_response(
            "Invalid value for parameter 'kind' must be in %s" %
            [k.name for k in validSearchKinds], 400)

    results = {}

    (limit, offset) = get_pagination_vars()
    like_tags_str = str.format('%{}%', search_str)
    db = get_db_read_replica()
    with db.scoped_session() as session:
        if (searchKind in [SearchKind.all, SearchKind.tracks]):
            track_res = sqlalchemy.text(f"""
                select distinct(track_id)
                from
                (
                    select
                        strip(to_tsvector(tracks.tags)) as tagstrip,
                        track_id
                    from
                        tracks
                    where
                        (tags like :like_tags_query)
                        and (is_current is true)
                        and (is_delete is false)
                        and (is_unlisted is false)
                        and (stem_of is NULL)
                    order by
                        updated_at desc
                ) as t
                    where
                    tagstrip @@ to_tsquery(:query);
                """)
            track_ids = session.execute(track_res, {
                "query": search_str,
                "like_tags_query": like_tags_str
            }).fetchall()

            # track_ids is list of tuples - simplify to 1-D list
            track_ids = [i[0] for i in track_ids]

            tracks = (session.query(Track).filter(
                Track.is_current == True,
                Track.is_delete == False,
                Track.is_unlisted == False,
                Track.stem_of == None,
                Track.track_id.in_(track_ids),
            ).all())

            tracks = helpers.query_result_to_list(tracks)
            track_play_counts = get_track_play_counts(track_ids)

            tracks = populate_track_metadata(session, track_ids, tracks,
                                             current_user_id)

            for track in tracks:
                track_id = track["track_id"]
                track[response_name_constants.
                      play_count] = track_play_counts.get(track_id, 0)

            play_count_sorted_tracks = \
                sorted(
                    tracks, key=lambda i: i[response_name_constants.play_count], reverse=True)

            # Add pagination parameters to track and user results
            play_count_sorted_tracks = \
                play_count_sorted_tracks[slice(offset, offset + limit, 1)]

            results['tracks'] = play_count_sorted_tracks

        if (searchKind in [SearchKind.all, SearchKind.users]):
            user_res = sqlalchemy.text(f"""
                select * from
                (
                    select
                        count(track_id),
                        owner_id
                    from
                    (
                        select
                            strip(to_tsvector(tracks.tags)) as tagstrip,
                            track_id,
                            owner_id
                        from
                            tracks
                        where
                            (tags like :like_tags_query)
                            and (is_current is true)
                            and (is_unlisted is false)
                            and (stem_of is NULL)
                        order by
                            updated_at desc
                    ) as t
                    where
                            tagstrip @@ to_tsquery(:query)
                    group by
                            owner_id
                    order by
                            count desc
                ) as usr
                where
                    usr.count >= :user_tag_count;
                """)
            user_ids = session.execute(
                user_res, {
                    "query": search_str,
                    "like_tags_query": like_tags_str,
                    "user_tag_count": user_tag_count
                }).fetchall()

            # user_ids is list of tuples - simplify to 1-D list
            user_ids = [i[1] for i in user_ids]

            users = (session.query(User).filter(
                User.is_current == True, User.user_id.in_(user_ids)).all())
            users = helpers.query_result_to_list(users)

            users = populate_user_metadata(session, user_ids, users,
                                           current_user_id)

            followee_sorted_users = \
                sorted(
                    users, key=lambda i: i[response_name_constants.follower_count], reverse=True)

            followee_sorted_users = \
                followee_sorted_users[slice(offset, offset + limit, 1)]

            results['users'] = followee_sorted_users

    # Add personalized results for a given user
    if current_user_id:
        if (searchKind in [SearchKind.all, SearchKind.tracks]):
            # Query saved tracks for the current user that contain this tag
            saves_query = (session.query(Save.save_item_id).filter(
                Save.is_current == True, Save.is_delete == False,
                Save.save_type == SaveType.track,
                Save.user_id == current_user_id,
                Save.save_item_id.in_(track_ids)).all())
            saved_track_ids = [i[0] for i in saves_query]
            saved_tracks = (session.query(Track).filter(
                Track.is_current == True,
                Track.is_delete == False,
                Track.is_unlisted == False,
                Track.stem_of == None,
                Track.track_id.in_(saved_track_ids),
            ).all())
            saved_tracks = helpers.query_result_to_list(saved_tracks)
            for saved_track in saved_tracks:
                saved_track_id = saved_track["track_id"]
                saved_track[response_name_constants.play_count] = \
                    track_play_counts.get(saved_track_id, 0)
            saved_tracks = \
                populate_track_metadata(
                    session, saved_track_ids, saved_tracks, current_user_id)

            # Sort and paginate
            play_count_sorted_saved_tracks = \
                sorted(
                    saved_tracks, key=lambda i: i[response_name_constants.play_count], reverse=True)

            play_count_sorted_saved_tracks = \
                play_count_sorted_saved_tracks[slice(
                    offset, offset + limit, 1)]

            results['saved_tracks'] = play_count_sorted_saved_tracks

        if (searchKind in [SearchKind.all, SearchKind.users]):
            # Query followed users that have referenced this tag
            followed_user_query = (session.query(
                Follow.followee_user_id).filter(
                    Follow.is_current == True, Follow.is_delete == False,
                    Follow.follower_user_id == current_user_id,
                    Follow.followee_user_id.in_(user_ids)).all())
            followed_user_ids = [i[0] for i in followed_user_query]
            followed_users = (session.query(User).filter(
                User.is_current == True,
                User.user_id.in_(followed_user_ids)).all())
            followed_users = helpers.query_result_to_list(followed_users)
            followed_users = \
                populate_user_metadata(
                    session,
                    followed_user_ids,
                    followed_users,
                    current_user_id
                )

            followed_users_followee_sorted = \
                sorted(
                    followed_users,
                    key=lambda i: i[response_name_constants.follower_count],
                    reverse=True)

            followed_users_followee_sorted = \
                followed_users_followee_sorted[slice(
                    offset, offset + limit, 1)]

            results['followed_users'] = followed_users_followee_sorted

    return api_helpers.success_response(results)