cageyjames

#!/usr/bin/env python
###############################################################################
# $Id$
#
# Project:  GDAL2Tiles, Google Summer of Code 2007 & 2008
#           Global Map Tiles Classes
# Purpose:	Convert a raster into TMS tiles, create KML SuperOverlay EPSG:4326,
#			generate a simple HTML viewers based on Google Maps and OpenLayers
# Author:	Klokan Petr Pridal, klokan at klokan dot cz
# Web:		http://www.klokan.cz/projects/gdal2tiles/

cageyjames

[
    200, 
    {
        "preview_layer_api_url": "https://market.weogeo.com/datasets/topo-usgs-drg-topo-felton-ca/preview_layers.json", 
        "rating": 0.0, 
        "supported_customizations": {
            "layer": false, 
            "file_format": true, 
            "projection_datum": true, 
            "geocrop": true, 

cageyjames

Jamess-MacBook-Pro:Desktop james$ python submitjob.py
making jobs

Submitting your jobs...

Here is your order info:

{
    "job": {
        "dataset_token": "f1bca22c-013e-4e57-a78b-f9bbb3a918e8", 

cageyjames

#!/usr/bin/env python

from bs4 import BeautifulSoup
import urllib2

url = "http://www.spatiallyadjusted.com/blog/archives/"
page = urllib2.urlopen(url)
soup = BeautifulSoup(page.read())

file = open('out.txt', 'w')

cageyjames

#!/usr/bin/env python

""" see previous example on how to submit jobs to be ordered (https://gist.github.com/4356165)

For this example we take a job create and submit it to WeoGeo to generate an order.  Looking at the 
token field in the JSON, I've picked this TOPO Raster token "a32957481fde138c22c38a680f2ec65".  
The dataset can be viewed here:  http://market.weogeo.com/datasets/a32957481fde138c22c38a680f2ec65  """

print "\nConnecting to WeoGeo...\n"
 

cageyjames

#!/usr/bin/env python

""" see previous example on how to an order for a dataset (https://gist.github.com/4355769)

For this example we take a job create and submit it to WeoGeo to generate an order.  Looking at the token
field in the JSON, I've picked this TOPO Raster token "a32957481fde138c22c38a680f2ec65".  The dataset
can be viewed here:  http://market.weogeo.com/datasets/a32957481fde138c22c38a680f2ec65  """

print "\nConnecting to WeoGeo...\n"
 

cageyjames

{
        "layers": null, 
        "status": "Not Processed", 
        "events_api_url": "https://market.weogeo.com/jobs/4870e9c5-7292-4592-b873-4f53bf5ff6b2/events.json", 
        "order_url": "https://market.weogeo.com/jobs/4870e9c5-7292-4592-b873-4f53bf5ff6b2/order", 
        "job_edit_page_url": "https://market.weogeo.com/datasets/topo_usgs_drg_topo_four_peaks_az?job_id=4870e9c5-7292-4592-b873-4f53bf5ff6b2", 
        "api_url": "https://market.weogeo.com/jobs/4870e9c5-7292-4592-b873-4f53bf5ff6b2.json", 
        "parameters": {
            "job_geocrop": "Clip", 
            "job_east": -12386121.607448, 

cageyjames

#!/usr/bin/env python

""" see previous example on how to get a dataset (https://gist.github.com/4355190)

For this example we take a dataset found previously and order it from WeoGeo.  Looking at the token 
field in the JSON, I've picked this TOPO Raster token "a32957481fde138c22c38a680f2ec65".  The dataset 
can be viewed here:  http://market.weogeo.com/datasets/a32957481fde138c22c38a680f2ec65  """

import WeoGeoAPI

cageyjames

#!/usr/bin/env python

""" see previous example on how to get a dataset (https://gist.github.com/4355190)

For this example we take a dataset found previously and get more information about it.  Looking 
at the token field in the JSON, I've picked this TOPO Raster token "a32957481fde138c22c38a680f2ec65".  
The dataset can be viewed here:  http://market.weogeo.com/datasets/a32957481fde138c22c38a680f2ec65  """

print "\nConnecting to WeoGeo...\n"
 

cageyjames

#!/usr/bin/env python

""" This sample code will allow you to connect to the WeoGeo Market and get a list of datasets.  
You'll need the WeoGeo Python API that can be acquired by "pip install WeoGeoAPI". """

print "\nConnecting to WeoGeo...\n"
 
# Import Needed Libraries
 
import WeoGeoAPI