Skip to content
This repository

HTTPS clone URL

Subversion checkout URL

You can clone with HTTPS or Subversion.

Download ZIP
tree: 371caad038
Fetching contributors…

Cannot retrieve contributors at this time

executable file 260 lines (241 sloc) 9.93 kb
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260
#!/usr/bin/env python

# MBUtil: a tool for MBTiles files
# Supports importing, exporting, and more
#
# (c) Development Seed 2012
# Licensed under BSD

import sqlite3, uuid, sys, logging, time, os, json, zlib

logger = logging.getLogger(__name__)

def flip_y(zoom, y):
    return (2**zoom-1) - y

def mbtiles_setup(cur):
    cur.execute("""
create table tiles (
zoom_level integer,
tile_column integer,
tile_row integer,
tile_data blob);
""")
    cur.execute("""create table metadata
(name text, value text);""")
    cur.execute("""create unique index name on metadata (name);""")
    cur.execute("""create unique index tile_index on tiles
(zoom_level, tile_column, tile_row);""")

def mbtiles_connect(mbtiles_file):
    try:
        con = sqlite3.connect(mbtiles_file)
        return con
    except Exception, e:
        logger.error("Could not connect to database")
        logger.exception(e)
        sys.exit(1)

def optimize_connection(cur):
    cur.execute("""PRAGMA synchronous=0""")
    cur.execute("""PRAGMA locking_mode=EXCLUSIVE""")
    cur.execute("""PRAGMA journal_mode=DELETE""")

def compression_prepare(cur, con):
    cur.execute("""
CREATE TABLE if not exists images (
tile_data blob,
tile_id VARCHAR(256));
""")
    cur.execute("""
CREATE TABLE if not exists map (
zoom_level integer,
tile_column integer,
tile_row integer,
tile_id VARCHAR(256));
""")

def optimize_database(cur):
    logger.debug('analyzing db')
    cur.execute("""ANALYZE;""")
    logger.debug('cleaning db')
    cur.execute("""VACUUM;""")

def compression_do(cur, con, chunk):
    overlapping = 0
    unique = 0
    total = 0
    cur.execute("select count(zoom_level) from tiles")
    res = cur.fetchone()
    total_tiles = res[0]
    logging.debug("%d total tiles to fetch" % total_tiles)
    for i in range(total_tiles / chunk):
        logging.debug("%d / %d rounds done" % (i, (total_tiles / chunk)))
        ids = []
        files = []
        start = time.time()
        cur.execute("""select zoom_level, tile_column, tile_row, tile_data
from tiles where rowid > ? and rowid <= ?""", ((i * chunk), ((i + 1) * chunk)))
        logger.debug("select: %s" % (time.time() - start))
        rows = cur.fetchall()
        for r in rows:
            total = total + 1
            if r[3] in files:
                overlapping = overlapping + 1
                start = time.time()
                query = """insert into map
(zoom_level, tile_column, tile_row, tile_id)
values (?, ?, ?, ?)"""
                logger.debug("insert: %s" % (time.time() - start))
                cur.execute(query, (r[0], r[1], r[2], ids[files.index(r[3])]))
            else:
                unique = unique + 1
                id = str(uuid.uuid4())

                ids.append(id)
                files.append(r[3])

                start = time.time()
                query = """insert into images
(tile_id, tile_data)
values (?, ?)"""
                cur.execute(query, (str(id), sqlite3.Binary(r[3])))
                logger.debug("insert into images: %s" % (time.time() - start))
                start = time.time()
                query = """insert into map
(zoom_level, tile_column, tile_row, tile_id)
values (?, ?, ?, ?)"""
                cur.execute(query, (r[0], r[1], r[2], id))
                logger.debug("insert into map: %s" % (time.time() - start))
        con.commit()

def compression_finalize(cur):
    cur.execute("""drop table tiles;""")
    cur.execute("""create view tiles as
select map.zoom_level as zoom_level,
map.tile_column as tile_column,
map.tile_row as tile_row,
images.tile_data as tile_data FROM
map JOIN images on images.tile_id = map.tile_id;""")
    cur.execute("""
CREATE UNIQUE INDEX map_index on map
(zoom_level, tile_column, tile_row);""")
    cur.execute("""
CREATE UNIQUE INDEX images_id on images
(tile_id);""")
    cur.execute("""vacuum;""")
    cur.execute("""analyze;""")

def disk_to_mbtiles(directory_path, mbtiles_file, **kwargs):
    logger.info("Importing disk to MBTiles")
    logger.debug("%s --> %s" % (directory_path, mbtiles_file))
    con = mbtiles_connect(mbtiles_file)
    cur = con.cursor()
    optimize_connection(cur)
    mbtiles_setup(cur)
    image_format = 'png'
    grid_warning = True
    try:
        metadata = json.load(open(os.path.join(directory_path, 'metadata.json'), 'r'))
        image_format = metadata.get('format', 'png')
        for name, value in metadata.items():
            cur.execute('insert into metadata (name, value) values (?, ?)',
                    (name, value))
        logger.info('metadata from metadata.json restored')
    except IOError:
        logger.warning('metadata.json not found')

    count = 0
    start_time = time.time()
    msg = ""
    for r1, zs, ignore in os.walk(directory_path):
        for z in zs:
            for r2, xs, ignore in os.walk(os.path.join(r1, z)):
                for x in xs:
                    for r2, ignore, ys in os.walk(os.path.join(r1, z, x)):
                        for y in ys:
                            if (y.endswith(image_format)):
                                f = open(os.path.join(r1, z, x, y), 'rb')
                                cur.execute("""insert into tiles (zoom_level,
tile_column, tile_row, tile_data) values
(?, ?, ?, ?);""",
                                    (z, x, y.split('.')[0], sqlite3.Binary(f.read())))
                                f.close()
                                count = count + 1
                                if (count % 100) == 0:
                                    for c in msg: sys.stdout.write(chr(8))
                                    msg = "%s tiles inserted (%d tiles/sec)" % (count, count / (time.time() - start_time))
                                    sys.stdout.write(msg)
                            elif (y.endswith('grid.json')):
                                if grid_warning:
                                    logger.warning('grid.json interactivity import not yet supported\n')
                                    grid_warning= False
    logger.debug('tiles inserted.')
    optimize_database(con)

def mbtiles_to_disk(mbtiles_file, directory_path, **kwargs):
    logger.debug("Exporting MBTiles to disk")
    logger.debug("%s --> %s" % (mbtiles_file, directory_path))
    con = mbtiles_connect(mbtiles_file)
    os.mkdir("%s" % directory_path)
    metadata = dict(con.execute('select name, value from metadata;').fetchall())
    json.dump(metadata, open(os.path.join(directory_path, 'metadata.json'), 'w'), indent=4)
    count = con.execute('select count(zoom_level) from tiles;').fetchone()[0]
    done = 0
    msg = ''
    service_version = metadata.get('version', '1.0.0')
    base_path = os.path.join(directory_path,
                                service_version,
                                metadata.get('name', 'layer')
                            )
    if not os.path.isdir(base_path):
        os.makedirs(base_path)

    # if interactivity
    formatter = metadata.get('formatter')
    if formatter:
        layer_json = os.path.join(base_path,'layer.json')
        formatter_json = {"formatter":formatter}
        open(layer_json,'w').write('grid(' + json.dumps(formatter_json) + ')')

    tiles = con.execute('select zoom_level, tile_column, tile_row, tile_data from tiles;')
    t = tiles.fetchone()
    while t:
        z = t[0]
        x = t[1]
        y = t[2]
        if kwargs.get('scheme') == 'xyz':
          y = flip_y(z,y)
          print 'flipping'
        tile_dir = os.path.join(base_path, str(z), str(x))
        if not os.path.isdir(tile_dir):
            os.makedirs(tile_dir)
        tile = os.path.join(tile_dir,'%s.%s' % (y,metadata.get('format', 'png')))
        f = open(tile, 'wb')
        f.write(t[3])
        f.close()
        done = done + 1
        for c in msg: sys.stdout.write(chr(8))
        logger.info('%s / %s tiles exported' % (done, count))
        t = tiles.fetchone()

    # grids
    done = 0
    msg = ''
    try:
        count = con.execute('select count(zoom_level) from grids;').fetchone()[0]
        grids = con.execute('select zoom_level, tile_column, tile_row, grid from grids;')
        g = grids.fetchone()
    except sqlite3.OperationalError:
        g = None # no grids table
    while g:
        zoom_level = g[0] # z
        tile_column = g[1] # x
        y = g[2] # y
        if kwargs.get('scheme') == 'xyz':
          y = flip_y(zoom_level,y)
        grid_dir = os.path.join(base_path, str(zoom_level), str(tile_column))
        if not os.path.isdir(grid_dir):
            os.makedirs(grid_dir)
        grid = os.path.join(grid_dir,'%s.grid.json' % (y))
        f = open(grid, 'w')
        grid_json = json.loads(zlib.decompress(g[3]))
        # join up with the grid 'data' which is in pieces when stored in mbtiles file
        grid_data_cursor = con.execute('''select key_name, key_json FROM
grid_data WHERE
zoom_level = %(zoom_level)d and
tile_column = %(tile_column)d and
tile_row = %(tile_row)d;''' % locals())
        grid_data = grid_data_cursor.fetchone()
        data = {}
        while grid_data:
            data[grid_data[0]] = json.loads(grid_data[1])
            grid_data = grid_data_cursor.fetchone()
        grid_json['data'] = data
        f.write('grid(' + json.dumps(grid_json) + ')')
        f.close()
        done = done + 1
        for c in msg: sys.stdout.write(chr(8))
        logger.info('%s / %s grids exported' % (done, count))
        g = grids.fetchone()
Something went wrong with that request. Please try again.