gtfspy/stats.py
def _feed_calendar_span(gtfs, stats):
    """
    Computes the temporal coverage of each source feed

    Parameters
    ----------
    gtfs: gtfspy.GTFS object
    stats: dict
        where to append the stats

    Returns
    -------
    stats: dict
    """
    n_feeds = _n_gtfs_sources(gtfs)[0]
    max_start = None
    min_end = None
    if n_feeds > 1:
        for i in range(n_feeds):
            feed_key = "feed_" + str(i) + "_"
            start_key = feed_key + "calendar_start"
            end_key = feed_key + "calendar_end"
            calendar_span = gtfs.conn.cursor().execute(
                'SELECT min(date), max(date) FROM trips, days '
                'WHERE trips.trip_I = days.trip_I AND trip_id LIKE ?;', (feed_key + '%',)).fetchone()

            stats[start_key] = calendar_span[0]
            stats[end_key] = calendar_span[1]
            if calendar_span[0] is not None and calendar_span[1] is not None:
                if not max_start and not min_end:
                    max_start = calendar_span[0]
                    min_end = calendar_span[1]
                else:
                    if gtfs.get_day_start_ut(calendar_span[0]) > gtfs.get_day_start_ut(max_start):
                        max_start = calendar_span[0]
                    if gtfs.get_day_start_ut(calendar_span[1]) < gtfs.get_day_start_ut(min_end):
                        min_end = calendar_span[1]
        stats["latest_feed_start_date"] = max_start
        stats["earliest_feed_end_date"] = min_end
    else:
        stats["latest_feed_start_date"] = stats["start_date"]
        stats["earliest_feed_end_date"] = stats["end_date"]
    return stats
def _feed_calendar_span(gtfs, stats):
    """
    Computes the temporal coverage of each source feed

    Parameters
    ----------
    gtfs: gtfspy.GTFS object
    stats: dict
        where to append the stats

    Returns
    -------
    stats: dict
    """
    n_feeds = _n_gtfs_sources(gtfs)[0]
    max_start = None
    min_end = None
    if n_feeds > 1:
        for i in range(n_feeds):
            feed_key = "feed_" + str(i) + "_"
            start_key = feed_key + "calendar_start"
            end_key = feed_key + "calendar_end"
            calendar_span = gtfs.conn.cursor().execute(
                'SELECT min(date), max(date) FROM trips, days '
                'WHERE trips.trip_I = days.trip_I AND trip_id LIKE ?;', (feed_key + '%',)).fetchone()

            stats[start_key] = calendar_span[0]
            stats[end_key] = calendar_span[1]
            if calendar_span[0] is not None and calendar_span[1] is not None:
                if not max_start and not min_end:
                    max_start = calendar_span[0]
                    min_end = calendar_span[1]
                else:
                    if gtfs.get_day_start_ut(calendar_span[0]) > gtfs.get_day_start_ut(max_start):
                        max_start = calendar_span[0]
                    if gtfs.get_day_start_ut(calendar_span[1]) < gtfs.get_day_start_ut(min_end):
                        min_end = calendar_span[1]
        stats["latest_feed_start_date"] = max_start
        stats["earliest_feed_end_date"] = min_end
    else:
        stats["latest_feed_start_date"] = stats["start_date"]
        stats["earliest_feed_end_date"] = stats["end_date"]
    return stats
def _feed_calendar_span ( gtfs , stats ) : n_feeds = _n_gtfs_sources ( gtfs ) [ 0 ] max_start = None min_end = None if n_feeds > 1 : for i in range ( n_feeds ) : feed_key = "feed_" + str ( i ) + "_" start_key = feed_key + "calendar_start" end_key = feed_key + "calendar_end" calendar_span = gtfs . conn . cursor ( ) . execute ( 'SELECT min(date), max(date) FROM trips, days ' 'WHERE trips.trip_I = days.trip_I AND trip_id LIKE ?;' , ( feed_key + '%' , ) ) . fetchone ( ) stats [ start_key ] = calendar_span [ 0 ] stats [ end_key ] = calendar_span [ 1 ] if calendar_span [ 0 ] is not None and calendar_span [ 1 ] is not None : if not max_start and not min_end : max_start = calendar_span [ 0 ] min_end = calendar_span [ 1 ] else : if gtfs . get_day_start_ut ( calendar_span [ 0 ] ) > gtfs . get_day_start_ut ( max_start ) : max_start = calendar_span [ 0 ] if gtfs . get_day_start_ut ( calendar_span [ 1 ] ) < gtfs . get_day_start_ut ( min_end ) : min_end = calendar_span [ 1 ] stats [ "latest_feed_start_date" ] = max_start stats [ "earliest_feed_end_date" ] = min_end else : stats [ "latest_feed_start_date" ] = stats [ "start_date" ] stats [ "earliest_feed_end_date" ] = stats [ "end_date" ] return stats
Computes the temporal coverage of each source feed

    Parameters
    ----------
    gtfs: gtfspy.GTFS object
    stats: dict
        where to append the stats

    Returns
    -------
    stats: dict
Computes the temporal coverage of each source feed