OpenSeaMap-dev Diskussion:Downloadable Raster Charts
Version vom 16. Februar 2015, 17:08 Uhr von Kannix (Diskussion | Beiträge) (→tile server: php script added)
Inhaltsverzeichnis
ideas
web frontend
- die INT-chart Grenzen (als Basis fuer ein download-tool) bekomme ich inzwischen auf den Schirm: http://kap.grade.de/int-chart-ol2.html , sicherlich verbesserungsbeduerftig
- workflow
- INT-Chart durch klick auf die Karte waehlen
- download iniziieren
- Weiterleitung auf neue Seite
- pruefen, ob und in welchem Format vorhanden
- wenn ja und nicht zu alt, downloadlinks anbieten
- wenn nein Job in queue-db schreiben
- number, name, bbox, scale, sessionid, ip-address, email, microtime, status=open, ...
- das ganze garnieren mit
- Pruefung, ob das script fuer diese karte schon in der Warteschlange ist
- Limitierung auf x downloads/jobs pro session ...
- email notifier
- captcha
prerequisites
- apache
- php
- sqlite
tile server
- cronjob checkt queue-db alle x Minuten
- waehlt aeltesten job aus queue-db mit status=open
- tiledownload ueber proxy mit landez
- sinnvolles zoom-level anhand bbox errechnen (max. 10MB/chart)
- mbtiles erzeugen (siehe auch mbtiles implementation)
- stitchen und .png/.jpg erzeugen
- .kap mit imgkap erstellen
- ...
- status=done, zoom-level, date, ... in queue-db setzen
- temp-dir bereinigen und results in charts-dir kopieren
- erste Ergebnisse meiner Versuche: kap.grade.de
prerequisites
py script
- relies on landez
import logging import shutil import math from landez import MBTilesBuilder, ImageExporter, TilesManager import sqlite3 import os import sys import codecs logging.basicConfig(level=logging.DEBUG) # to be imported from sqlite-queue con = sqlite3.connect('queue.sqlite') with con: con.row_factory = sqlite3.Row cur = con.cursor() cur.execute('SELECT * FROM jobs WHERE status="open" ORDER BY microtime DESC') rows = cur.fetchall() if len(rows) == 0: logging.debug(" Nothing to do, exiting ") sys.exit(0) for row in rows: sqMicrotime = row["Microtime"] sqChart = row["Chart"] sqName = row["Name"] sqHO = row["HO"] sqBottomGeoPre = row["BottomGeoPre"] sqTopGeoPre = row["TopGeoPre"] sqLeftGeoPre = row["LeftGeoPre"] sqRightGeoPre = row["RightGeoPre"] sqNumTiles16 = row["NumTiles16"] # to be calculated from numtiles16, numtiles < 700 # numtiles16 is right now hardcoded at int-chart.gejson for ol depth of view reasons, there might be smarter ways in future # https://github.com/makinacorpus/landez/issues/44 myNumTiles = sqNumTiles16 * 4 * 4 myZoom = 18 while (myNumTiles > 700): myNumTiles = myNumTiles / 4 myZoom = myZoom - 1 # settings # myUrlBase = "http://tiles.grade.de/tiles.py/openriverboatmap/{z}/{x}/{y}.png" myUrlBase = "http://otile1.mqcdn.com/tiles/1.0.0/map/{z}/{x}/{y}.jpg" myUrlSeamark = "http://tiles.grade.de/tiles.py/seamark/{z}/{x}/{y}.png" if sqHO == "DE": myUrlHydro = "http://tiles.grade.de/tiles.py/NAUTHIS_SkinOfEarth/{z}/{x}/{y}.png" elif sqHO== "NL/GB": myUrlHydro = "http://tiles.grade.de/tiles.py/ncp_diepte14/{z}/{x}/{y}.png" else: myUrlHydro = "" myFileName = str(sqMicrotime) myMbtilesFile = myFileName + ".mbtiles" myImageFile = myFileName + ".jpg" myKapFile = myFileName + ".kap" myTextFile = myFileName + ".txt" myBbox = (sqLeftGeoPre, sqBottomGeoPre, sqRightGeoPre, sqTopGeoPre) myZoomLevels = [myZoom] myZoomLevel = myZoom myTileSize = 256 #myTileFormat = 'image/png' myTileFormat = 'image/jpeg' # download and mbtiles build mb = MBTilesBuilder(tiles_url=myUrlBase, cache=True, filepath=myMbtilesFile, tile_size=myTileSize, tile_format=myTileFormat) mb.add_coverage(myBbox, myZoomLevels) if myUrlHydro != "": hydro = TilesManager(tiles_url=myUrlHydro) seamark = TilesManager(tiles_url=myUrlSeamark) hydro.add_layer(seamark) overlay = hydro else: seamark = TilesManager(tiles_url=myUrlSeamark) overlay = seamark mb.add_layer(overlay) mb.run(force=True) # export image from mbtiles # not the best idea: causes IO at temp dir, again ie = ImageExporter(mbtiles_file=myMbtilesFile) ie.export_image(myBbox, myZoomLevel, imagepath=myImageFile) # save the geoinfo myGrid = ie.grid_tiles(myBbox, myZoomLevel) sqWidth = len(myGrid[0]) sqHeight = len(myGrid) sqWidthPix = sqWidth * myTileSize sqHeightPix = sqHeight * myTileSize # delete temp dir (ImageExporter does not!) # bad: path is hard coded. how do I get hold of landez's temp path? # https://github.com/makinacorpus/landez/issues/42 try: shutil.rmtree('/tmp/landez') except OSError: pass # geoinfo output logging.debug(" grid: " + str(myGrid)) myLeftColumn = myGrid[0] myTopLeft = myLeftColumn[0] sqLeftTile = myTopLeft[0] sqTopTile = myTopLeft[-1] myRightColumn = myGrid[-1] myBottomRight = myRightColumn[-1] sqRightTile = myBottomRight[0] sqBottomTile = myBottomRight[-1] # calculate coords from tilenumbers def num2deg(xtile, ytile, zoom): n = 2.0 ** zoom lon_deg = -180.0 + 360.0 * xtile / n lat_rad = math.atan(math.sinh(math.pi * (1.0 - 2.0 * (ytile / n)))) lat_deg = 180.0 * lat_rad / math.pi return (lon_deg, lat_deg) sqBottomGeoPost = (num2deg(sqRightTile + 1, sqBottomTile + 1, myZoom)[-1]) sqTopGeoPost = (num2deg(sqLeftTile, sqTopTile, myZoom)[-1]) sqLeftGeoPost = (num2deg(sqLeftTile, sqTopTile, myZoom)[0]) sqRightGeoPost = (num2deg(sqRightTile + 1, sqBottomTile + 1, myZoom)[0]) # shall be exported to sqlite-queue logging.debug(" baselayer: " + str(myUrlBase)) logging.debug(" seamark: " + str(myUrlSeamark)) logging.debug(" hydro: " + str(myUrlHydro)) logging.debug(" zoom: " + str(myZoom)) logging.debug(" width: " + str(sqWidth) + " tiles") logging.debug(" height: " + str(sqHeight) + " tiles") logging.debug(" widthpix: " + str(sqWidthPix) + " pixel") logging.debug(" heightpix: "+ str(sqHeightPix) + " pixel") logging.debug(" left tile " + str(sqLeftTile)) logging.debug(" right tile: " + str(sqRightTile)) logging.debug(" top tile: " + str(sqTopTile)) logging.debug(" bottom tile: "+ str(sqBottomTile)) logging.debug(" left: " + str(sqLeftGeoPost)) logging.debug(" right: " + str(sqRightGeoPost)) logging.debug(" top: " + str(sqTopGeoPost)) logging.debug(" bottom: " + str(sqBottomGeoPost)) sqPost = [ 'UrlBase="' + str(myUrlBase) + '"', 'UrlSeamark="' + str(myUrlSeamark) + '"', 'UrlHydro="' + str(myUrlHydro) + '"', 'Zoom=' + str(myZoom), 'BottomGeoPost='+ str(sqBottomGeoPost), 'TopGeoPost='+ str(sqTopGeoPost), 'LeftGeoPost='+ str(sqLeftGeoPost), 'RightGeoPost='+ str(sqRightGeoPost), 'status="done"' ] t = ", " sqPost = t.join(sqPost) sqlUpdate = "UPDATE jobs " + "SET " + str(sqPost) + " WHERE Microtime=" + str(sqMicrotime) logging.debug(" sqlUpdate: " + str(sqlUpdate)) con = sqlite3.connect('queue.sqlite') with con: con.row_factory = sqlite3.Row cur = con.cursor() cur.execute(sqlUpdate) con.commit() logging.debug(" Number of rows updated: " + str(cur.rowcount)) # start imgkap to generate .kap file import subprocess myImgkapCall = "./imgkap " + myImageFile + " " + str(sqTopGeoPost) + " " + str(sqLeftGeoPost) + " " + str(sqBottomGeoPost) + " " + str(sqRightGeoPost) + " " + myKapFile print myImgkapCall subprocess.call(myImgkapCall, shell=True) # write textfile txtPost = [ 'These charts cannot replace official charts, use at your own risk!', '', 'INT Chart Number= ' + sqChart, 'INT Chart Name= ' + sqName, '', 'Copyright Notices:', 'Base Layer= http://developer.mapquest.com/de/web/products/open/map', 'Seamark Layer= http://www.openseamap.org/', 'DE Hydrography= http://gdiwiki.bsh.de/wiki/index.php/NAUTHIS_Skin_Of_The_Earth', 'NL Hydrography= http://www.rijkswaterstaat.nl/zakelijk/databestanden/online_geografische_gegevens_rijkswaterstaat/', '', 'Zoom Level= ' + str(myZoom), '', 'Bottom= '+ str(sqBottomGeoPost), 'Top= '+ str(sqTopGeoPost), 'Left= '+ str(sqLeftGeoPost), 'Right= '+ str(sqRightGeoPost), '', 'width= ' + str(sqWidth) + ' tiles', 'height= ' + str(sqHeight) + ' tiles', 'width= ' + str(sqWidthPix) + ' pixel', 'height= ' + str(sqHeightPix) + ' pixel', '', 'left tile number= ' + str(sqLeftTile), 'right tile number= ' + str(sqRightTile), 'top tile number= ' + str(sqTopTile), 'bottom tile number= '+ str(sqBottomTile) ] t = "\n" txtPost = t.join(txtPost) logging.debug(" txtPost: " + txtPost) with codecs.open(myTextFile, 'w', "utf-8") as f: f.write(txtPost) # move and rename files myPath = "../INT-CHART/INT-" myNotice = "_MapQuest-OSeaM-BSH" myNewMbtilesFile = myPath + sqChart + myNotice + ".mbtiles" myNewImageFile = myPath + sqChart + myNotice + ".jpg" myNewKapFile = myPath + sqChart + myNotice + ".kap" myNewTextFile = myPath + sqChart + myNotice + ".txt" try: os.rename (myMbtilesFile, myNewMbtilesFile) os.remove(myMbtilesFile) except OSError: pass try: os.rename (myImageFile, myNewImageFile) os.remove(myImageFile) except OSError: pass try: os.rename (myKapFile, myNewKapFile) os.remove(myKapFile) except OSError: pass try: os.rename (myTextFile, myNewTextFile) os.remove(myTextFile) except OSError: pass
php script
<?php error_reporting(E_ALL); show_array($_GET); show_array($_POST); switch ($_POST['stage']) { case 'process': update(); break; default : print_list(); break; } function print_form() { echo '<form action="'.$_SERVER['PHP_SELF'].'" method="post">'; echo " <input type='submit' name='Text' value='Generate new Chart'/>"; echo " <input type='hidden' name ='stage' value='process' />\n"; echo " <input type='hidden' name ='Chart' value='" . $_GET['Chart'] . "' />\n"; echo " <input type='hidden' name ='Name' value='" . $_GET['Name'] . "' />\n"; echo " <input type='hidden' name ='HO' value='" . $_GET['HO'] . "' />\n"; echo " <input type='hidden' name ='BottomGeoPre' value='" . $_GET['BottomGeoPre'] . "' />\n"; echo " <input type='hidden' name ='TopGeoPre' value='" . $_GET['TopGeoPre'] . "' />\n"; echo " <input type='hidden' name ='LeftGeoPre' value='" . $_GET['LeftGeoPre'] . "' />\n"; echo " <input type='hidden' name ='RightGeoPre' value='" . $_GET['RightGeoPre'] . "' />\n"; echo " <input type='hidden' name ='NumTiles16' value='" . $_GET['NumTiles16'] . "' />\n"; echo "</form>\n"; } function print_list() { if (is_array(glob("../INT-CHART/INT-".$_GET['Chart']."*.*"))) { foreach (glob("../INT-CHART/INT-".$_GET['Chart']."*.*") as $filename) { $size = round(filesize($filename)/1024, 2); $modified = gmdate ( 'd M Y H:i:s', filectime($filename)); echo "<a href='".$filename."'>" .$filename. "</a> - Size: " . $size . " kB - Modified: " . $modified . "</br>"; } } else { print_form(); } } function update() { echo 'Received your request, processing will take some time. Please be patient and check back in an hour ...'; $_POST['Name'] = utf8_encode( $_POST['Name'] ); $db = new SQLite3('../temp/queue.sqlite'); $db->exec("INSERT INTO jobs ( Chart, Name, HO, BottomGeoPre, TopGeoPre, LeftGeoPre, RightGeoPre, NumTiles16, status ) VALUES ( '{$_POST['Chart']}', '{$_POST['Name']}', '{$_POST['HO']}', {$_POST['BottomGeoPre']}, {$_POST['TopGeoPre']}, {$_POST['LeftGeoPre']}, {$_POST['RightGeoPre']}, {$_POST['NumTiles16']}, 'open' )"); } // show content of PHP array, i.e. show_array($_POST) // this is handy to quickly test what data is in an array function show_array($x) { if (!is_array($x)) return; reset($x); echo "<br />"; echo "<b>content of array</b>\n"; if ($x) while ($i = each($x)) echo "<br />", htmlentities($i[0]), " = ", htmlentities($i[1]), "\n"; echo "<br /><br />\n"; } ?>
Reason for ChartBundler
- Lets talk a bit about amounts here and not low stress or high stress. Using the charts offline on a mobile device. Lets say the display is about 1024x1024 Pixel, then we will need at least 16 tiles per map. If we start on zoom level 8 with the bounding box and continue to zoom level 16 for the harbours, we need around 2 Mio tiles. This 16 tiles on zoom level 8 is about the northern Adria. If we want the Channel just skipping Lands End up to the belgian coast, this would be 6 by 5 on zoom level 8. --Alexej
- Hi Alexej, do not understand this paragraph!? 2 test datasets of mine:
- --Kannix (Diskussion) 16:22, 29. Jan. 2015 (UTC)