def compute_spatial_metadata(self, **kwargs):
"""Other keyword args get passed in as a matter of course, like BBOX, time, and elevation, but this basic driver
ignores them"""
super(OGRDriver, self).compute_spatial_metadata(**kwargs)
# if we have a zip archive, we should expand it now
archive_filename = self.get_filename('zip')
if os.path.exists(archive_filename):
archive = ZipFile(self.cached_basename + self.src_ext)
os.mkdir(self.cached_basename) # we will put everything cached underneath the cached base directory
archive.extractall(self.cached_basename)
ds = ogr.Open(self.get_master_filename())
lyr = ds.GetLayerByIndex(0) if 'sublayer' not in kwargs else ds.GetLayerByName(kwargs['sublayer'])
xmin, xmax, ymin, ymax = lyr.GetExtent()
crs = lyr.GetSpatialRef()
self.resource.spatial_metadata.native_srs = crs.ExportToProj4()
e4326 = osr.SpatialReference()
e4326.ImportFromEPSG(4326)
crx = osr.CoordinateTransformation(crs, e4326)
x04326, y04326, _ = crx.TransformPoint(xmin, ymin)
x14326, y14326, _ = crx.TransformPoint(xmax, ymax)
self.resource.spatial_metadata.bounding_box = Polygon.from_bbox((x04326, y04326, x14326, y14326))
self.resource.spatial_metadata.native_bounding_box = Polygon.from_bbox((xmin, ymin, xmax, ymax))
self.resource.spatial_metadata.three_d = False
self.resource.spatial_metadata.save()
self.resource.save()
def compute_spatial_metadata(self, **kwargs):
"""Other keyword args get passed in as a matter of course, like BBOX, time, and elevation, but this basic driver
ignores them"""
self.cache_data_file(True)
ds = gdal.Open(self.cached_basename + '.tif')
nx = ds.RasterXSize
ny = ds.RasterYSize
x0, dx, _, y0, _, dy = ds.GetGeoTransform()
xmin, xmax, ymin, ymax = (
x0,
x0+dx*nx,
y0 if dy > 0 else y0 + dy*ny,
y0 + dy*ny if dy > 0 else y0
)
crs = osr.SpatialReference()
crs.ImportFromWkt(ds.GetProjection())
self.resource.spatial_metadata.native_srs = crs.ExportToProj4()
e4326 = osr.SpatialReference()
e4326.ImportFromEPSG(4326)
crx = osr.CoordinateTransformation(crs, e4326)
x04326, y04326, _ = crx.TransformPoint(xmin, ymin)
x14326, y14326, _ = crx.TransformPoint(xmax, ymax)
self.resource.spatial_metadata.bounding_box = Polygon.from_bbox((x04326, y04326, x14326, y14326))
self.resource.spatial_metadata.native_bounding_box = Polygon.from_bbox((xmin, ymin, xmax, ymax))
self.resource.spatial_metadata.save()
self.resource.save()
def test_native_reader(self):
xml = """
<Metadata>
<EOID>some_unique_id</EOID>
<BeginTime>2013-08-27T10:00:00Z</BeginTime>
<EndTime>2013-08-27T10:00:10Z</EndTime>
<Footprint>
<Polygon>
<Exterior>0 0 20 0 20 10 0 10 0 0</Exterior>
<!--<Interior></Interior>-->
</Polygon>
<Polygon>
<Exterior>10 10 40 10 40 30 10 30 10 10</Exterior>
<!--<Interior></Interior>-->
</Polygon>
</Footprint>
</Metadata>
"""
reader = native.NativeFormat(env)
self.assertTrue(reader.test(xml))
values = reader.read(xml)
self.assertEqual({
"identifier": "some_unique_id",
"begin_time": datetime(2013, 8, 27, 10, 0, 0, tzinfo=utc),
"end_time": datetime(2013, 8, 27, 10, 0, 10, tzinfo=utc),
"footprint": MultiPolygon(
Polygon.from_bbox((0, 0, 10, 20)),
Polygon.from_bbox((10, 10, 30, 40))
)
}, values)
def build_filters(self, filters=None):
if filters is None:
filters = {}
applicable_filters = {}
# Normal filtering
filter_params = dict([(x, filters[x]) for x in filters if not x.startswith('!')])
applicable_filters['filter'] = super(HutSearchResource, self).build_filters(filter_params)
# Exclude filtering
exclude_params = dict([(x[1:], filters[x]) for x in filters if x.startswith('!')])
applicable_filters['exclude'] = super(HutSearchResource, self).build_filters(exclude_params)
# Custom bounds filter
if 'bounds' in filters:
bounds = filters['bounds']
lat_lo, lng_lo, lat_hi, lng_hi = [float(x) for x in bounds.split(',')]
# latitude first from request, longitude first for database!
if lng_lo > 0 and lng_hi < 0:
p1 = Polygon.from_bbox((lng_lo, lat_lo, 180, lat_hi))
p2 = Polygon.from_bbox((-180, lat_lo, lng_hi, lat_hi))
polygon = MultiPolygon(p1, p2)
else:
polygon = Polygon.from_bbox((lng_lo, lat_lo, lng_hi, lat_hi))
applicable_filters['filter']['location__within'] = polygon
return applicable_filters
def test_native_writer(self):
values = {
"identifier": "some_unique_id",
"begin_time": datetime(2013, 8, 27, 10, 0, 0, tzinfo=utc),
"end_time": datetime(2013, 8, 27, 10, 0, 10, tzinfo=utc),
"footprint": MultiPolygon(
Polygon.from_bbox((0, 0, 10, 20)),
Polygon.from_bbox((10, 10, 30, 40))
)
}
writer = native.NativeFormat(env)
f = StringIO()
writer.write(values, f, pretty=True)
self.assertEqual(dedent("""\
<Metadata>
<EOID>some_unique_id</EOID>
<BeginTime>2013-08-27T10:00:00Z</BeginTime>
<EndTime>2013-08-27T10:00:10Z</EndTime>
<Footprint>
<Polygon>
<Exterior>0.000000 0.000000 20.000000 0.000000 20.000000 10.000000 0.000000 10.000000 0.000000 0.000000</Exterior>
</Polygon>
<Polygon>
<Exterior>10.000000 10.000000 40.000000 10.000000 40.000000 30.000000 10.000000 30.000000 10.000000 10.000000</Exterior>
</Polygon>
</Footprint>
</Metadata>
"""), dedent(f.getvalue()))
def _extent(self, extents):
union = None
for extent in extents:
if extent is not None:
if union is None:
union = Polygon.from_bbox(extent)
else:
union.union(Polygon.from_bbox(extent))
return None if union is None else union.extent
def test_polygons_from_bbox(self):
"Testing `from_bbox` class method."
bbox = (-180, -90, 180, 90)
p = Polygon.from_bbox(bbox)
self.assertEqual(bbox, p.extent)
# Testing numerical precision
x = 3.14159265358979323
bbox = (0, 0, 1, x)
p = Polygon.from_bbox(bbox)
y = p.extent[-1]
self.assertEqual(format(x, ".13f"), format(y, ".13f"))
def compute_spatial_metadata(self, **kwargs):
"""Other keyword args get passed in as a matter of course, like BBOX, time, and elevation, but this basic driver
ignores them"""
super(KmzDriver, self).compute_spatial_metadata(**kwargs)
# archive = ZipFile(self.cached_basename + self.src_ext)
srs = osr.SpatialReference()
srs.ImportFromEPSG(4326)
self.resource.native_srs = srs.ExportToProj4()
self.resource.bounding_box = Polygon.from_bbox((-180, -90, 180, 90))
self.resource.native_bounding_box = Polygon.from_bbox((-180, -90, 180, 90))
self.resource.three_d = False
self.resource.save()
def compute_spatial_metadata(self, **kwargs):
"""Other keyword args get passed in as a matter of course, like BBOX, time, and elevation, but this basic driver
ignores them"""
super(PostGISDriver, self).compute_spatial_metadata(**kwargs)
cfg = self.resource.driver_config
connection = self._connection()
xmin=ymin=float('inf')
ymax=xmax=float('-inf')
dataframe = self.get_filename('dfx')
if os.path.exists(dataframe):
os.unlink(dataframe)
for entry in [cfg['table']] + cfg.get('tables', {}).values():
if isinstance(entry, list):
table, geom_field = entry
elif entry.startswith('#'):
table, geom_field = self._table(sublayer=entry[1:])
else:
table = entry
geom_field = 'geometry'
c = connection.cursor()
c.execute("select AsText(st_extent({geom_field})) from {table}".format(geom_field=geom_field, table=table))
xmin0, ymin0, xmax0, ymax0 = GEOSGeometry(c.fetchone()[0]).extent
xmin = xmin0 if xmin0 < xmin else xmin
ymin = ymin0 if ymin0 < ymin else ymin
xmax = xmax0 if xmax0 > xmax else xmax
ymax = ymax0 if ymax0 > ymax else ymax
crs = osr.SpatialReference()
crs.ImportFromEPSG(cfg['srid'])
self.resource.spatial_metadata.native_srs = crs.ExportToProj4()
e4326 = osr.SpatialReference()
e4326.ImportFromEPSG(4326)
crx = osr.CoordinateTransformation(crs, e4326)
x04326, y04326, _ = crx.TransformPoint(xmin, ymin)
x14326, y14326, _ = crx.TransformPoint(xmax, ymax)
print xmin, xmax, ymin, ymax
print x04326, y04326, x14326, y14326
self.resource.spatial_metadata.bounding_box = Polygon.from_bbox((x04326, y04326, x14326, y14326))
self.resource.spatial_metadata.native_bounding_box = Polygon.from_bbox((xmin, ymin, xmax, ymax))
self.resource.spatial_metadata.three_d = False
self.resource.spatial_metadata.save()
self.resource.save()
def update_bounding_shape(self):
ch = MultiPoint([e.location for e in self.photos.all()]).convex_hull
# Point
if ch.geom_typeid == 0:
self.bounding_shape = Polygon.from_bbox((ch.coords[0], ch.coords[1], ch.coords[0], ch.coords[1]))
# Polygon
elif len(ch.coords[0]) > 2:
self.bounding_shape = ch
# Two-point line
else:
self.bounding_shape = Polygon.from_bbox((ch.coords[0][0], ch.coords[0][1], ch.coords[1][0], ch.coords[1][1]))
self.bounding_shape_dirty = False
self.save()
return self.bounding_shape
def import_units(self):
if not getattr(self, 'org_syncher', None):
self.import_organizations(noop=True)
if not getattr(self, 'dept_syncher', None):
self.import_departments(noop=True)
if self.options['single']:
obj_id = self.options['single']
obj_list = [self.pk_get('unit', obj_id)]
queryset = Unit.objects.filter(id=obj_id)
else:
obj_list = self.pk_get('unit')
queryset = Unit.objects.all().select_related('services')
self.target_srid = settings.PROJECTION_SRID
self.bounding_box = Polygon.from_bbox(settings.BOUNDING_BOX)
self.bounding_box.set_srid(4326)
gps_srs = SpatialReference(4326)
target_srs = SpatialReference(self.target_srid)
target_to_gps_ct = CoordTransform(target_srs, gps_srs)
self.bounding_box.transform(target_to_gps_ct)
self.gps_to_target_ct = CoordTransform(gps_srs, target_srs)
syncher = ModelSyncher(queryset, lambda obj: obj.id)
for idx, info in enumerate(obj_list):
self._import_unit(syncher, info)
syncher.finish()
def search_catalog(request, *args, **kwargs):
"""A spatial search for the DataResource catalog. In the future, this will be more thorough, but right now it looks
for a filter parameter in the request, and inside that a JSON payload including a bbox four-tuple of minx, maxx
miny, maxy OR a geometry wkt and an optional srid. It then performs a broad overlap search and returns the results
as a JSON or JSONP list of::
[{ "title" : "title",
"path" : ["breadcrumps", "to", "resource"],
"url" : "http://mydomain/ga_resources/path/to/resource/title"
}]
"""
flt = json.loads(request.REQUEST['filter'])
if 'bbox' in flt:
minx, miny, maxx, maxy = flt['bbox']
geometry = Polygon.from_bbox((minx, miny, maxx, maxy))
else:
geometry = GEOSGeometry(flt['boundary'])
if 'srid' in flt:
geometry.set_srid(flt['srid'])
results = DataResource.objects.filter(bounding_box__overlaps=geometry)
ret = [{'title': r.title, 'path': r.slug.split('/')[:-1], 'url': r.get_abolute_url()} for r in results]
callback = None
if 'jsonCallback' in request.REQUEST:
callback = request.REQUEST['jsonCallback']
elif 'callback' in request.REQUEST:
callback = request.REQUEST['callback']
if callback:
return HttpResponse(callback + '(' + json.dumps(ret) + ")", mimetype='text/plain')
else:
return HttpResponse(json.dumps(ret), mimetype='application/json')
def _get_query_geometry(query_obj):
if query_obj.geometry == None or query_obj.geometry == '':
return None
geom = None
query_obj.geometrytype = query_obj.geometrytype or DEFAULT_GEOMETRY_TYPE
if query_obj.geometrytype == 'esriGeometryPoint':
try:
xy = map(float, query_obj.geometry.split(","))
except:
xy = DynamicObject(json.loads(query_obj.geometry))
xy = [xy.x, xy.y]
geom = Point(*xy)
elif query_obj.geometrytype == 'esriGeometryPolygon':
poly = DynamicObject(json.loads(query_obj.geometry))
geom = Polygon(*poly.rings)
elif query_obj.geometrytype == 'esriGeometryPolyline':
line = DynamicObject(json.loads(query_obj.geometry))
geom = LineString(*line.paths)
elif query_obj.geometrytype == 'esriGeometryEnvelope':
try:
bbox = map(float, query_obj.geometry.split(","))
except:
bbox = DynamicObject(json.loads(query_obj.geometry))
bbox = [bbox.xmin, bbox.ymin, bbox.xmax, bbox.ymax]
geom = Polygon.from_bbox(bbox)
# set the projection on the geometry
if geom and query_obj.insr:
geom.srid = int(query_obj.insr)
if geom.srid == 102100:
geom.srid = 900913
return geom
def setUp(self,):
self.path = os.path.dirname(os.path.realpath(__file__))
self.group, created = Group.objects.get_or_create(name="TestDefault")
with patch('eventkit_cloud.jobs.signals.Group') as mock_group:
mock_group.objects.get.return_value = self.group
self.user = User.objects.create(
username='******',
email='*****@*****.**',
password='******'
)
bbox = Polygon.from_bbox((-10.85, 6.25, -10.62, 6.40))
tags = DatamodelPreset.objects.get(name='hdm').json_tags
self.assertEqual(259, len(tags))
the_geom = GEOSGeometry(bbox, srid=4326)
self.job = Job.objects.create(
name='TestJob',
description='Test description',
user=self.user,
the_geom=the_geom,
json_tags=tags
)
self.job.feature_save = True
self.job.feature_pub = True
self.job.save()
self.run = ExportRun.objects.create(job=self.job, user=self.user)
def get(self, request, *args, **kwargs):
if 'in_bbox' not in request.GET:
return JSONResponse(message="missing search area", _code=422)
# Get cordinates for bbox from get parameter
p1x, p1y, p2x, p2y = (
float(n) for n in request.GET.get('in_bbox').split(',')
)
# Create min and max points with cordinates in EPSG:900913 for bbox
p1 = Point(p1x, p1y, srid=900913)
p2 = Point(p2x, p2y, srid=900913)
# Transform EPSG:900913 (from OpenLayers) to EPSG:4326 (WGS64)
p1.transform(4326)
p2.transform(4326)
# Create bbox which represents the visible map
visible_map = Polygon.from_bbox(
(p1.x, p1.y, p2.x, p2.y)
)
# Is the visible map to big we don't response places
if visible_map.area > 10:
return JSONResponse(message="search area to big", _code=422)
# Look for countries which are intersects by our visible map limited
# by GET parameter or max value
limit = request.GET.get('limit', 500)
places = KircheOsm.objects\
.filter(mpoly__intersects=visible_map)[0:limit]
# Create our json objects of places
places_of_worship = []
for place in places:
# Use the GeoDjango Point type to transform the cordinations in
# other epsg formats
if not place.point:
continue
try:
place.point.transform(request.GET.get('epsg', 4326))
except Exception:
return JSONResponse(message='Error by epsg transformation',
_code=422)
_place = {
'id': place.id,
'name': place.name,
'lon': place.point.x,
'lat': place.point.y,
'religion': place.religion,
'denomination': place.denomination,
}
places_of_worship.append(_place)
return JSONResponse(
request_id=request.GET.get('request_id'),
places_of_worship=places_of_worship,
places_of_worship_count=places.count()
)
def __init__(self, options):
super(Importer, self).__init__()
self._images = {obj.url: obj for obj in Image.objects.all()}
self.options = options
self.verbosity = options['verbosity']
self.logger = logging.getLogger(__name__)
importer_langs = set(self.supported_languages)
configured_langs = set(l[0] for l in settings.LANGUAGES)
# Intersection is all the languages possible for the importer to use.
self.languages = {}
for lang_code in importer_langs & configured_langs:
# FIXME: get language name translations from Django
lang_obj, _ = Language.objects.get_or_create(id=lang_code)
self.languages[lang_code] = lang_obj
self.target_srid = settings.PROJECTION_SRID
gps_srs = SpatialReference(4326)
target_srs = SpatialReference(self.target_srid)
if getattr(settings, 'BOUNDING_BOX'):
self.bounding_box = Polygon.from_bbox(settings.BOUNDING_BOX)
self.bounding_box.set_srid(self.target_srid)
target_to_gps_ct = CoordTransform(target_srs, gps_srs)
self.bounding_box.transform(target_to_gps_ct)
else:
self.bounding_box = None
self.gps_to_target_ct = CoordTransform(gps_srs, target_srs)
self.setup()
def __init__(self, options):
super(Importer, self).__init__()
self.options = options
importer_langs = set(self.supported_languages)
configured_langs = set(l[0] for l in settings.LANGUAGES)
# Intersection is all the languages possible for the importer to use.
self.languages = {}
for lang_code in importer_langs & configured_langs:
# FIXME: get language name translations from Django
lang_obj, _ = Language.objects.get_or_create(id=lang_code)
self.languages[lang_code] = lang_obj
self.target_srid = settings.PROJECTION_SRID
gps_srs = SpatialReference(4326)
target_srs = SpatialReference(self.target_srid)
if getattr(settings, 'BOUNDING_BOX'):
self.bounding_box = Polygon.from_bbox(settings.BOUNDING_BOX)
self.bounding_box.srid = self.target_srid
target_to_gps_ct = CoordTransform(target_srs, gps_srs)
self.bounding_box.transform(target_to_gps_ct)
else:
self.bounding_box = None
self.gps_to_target_ct = CoordTransform(gps_srs, target_srs)
self.setup()
# this has to be run after setup, as it relies on organization and data source being set
self._images = {obj.url: obj for obj in Image.objects.filter(publisher=self.organization,
data_source=self.data_source)}
def get_geofeatures(request):
cache_key = _generate_cache_key(request)
cache_val = cache.get(cache_key, cache_control.GEOFEATURES_CACHE_GROUP)
if cache_val:
return APIResponseOK(content=cache_val)
bounds_param = get_param(request.GET, "within")
query = request.GET.copy()
if bounds_param:
pnts = bounds_param.split(",")
bbox = (float(pnts[0]), float(pnts[1]), float(pnts[2]), float(pnts[3]))
poly = Polygon.from_bbox(bbox)
poly.set_srid(4326)
del query["within"]
base_query = Q()
if bounds_param:
base_query = base_query & Q(location__within=poly)
# cast within bounds
cast_base_query = models.Cast.get_privacy_q(request) & base_query
q = qstranslate.QueryTranslator(models.Cast, CastAPI.ruleset, cast_base_query)
try:
casts = q.filter(query).select_related("author").prefetch_related("media_set").prefetch_related("tags")
except qstranslate.InvalidParameterException, e:
raise exceptions.APIBadRequest(e.message)
def _str_to_bbox(val):
try:
swlat, swlng, nwlat, nwlng = [float(s) for s in val.split(',')]
return Polygon.from_bbox([swlng, swlat, nwlng, nwlat])
except:
return None
def next_row(self):
response = requests.get('https://biodiv-sports.fr/api/v2/sportpractice/')
if response.status_code != 200:
msg = _(u"Failed to download https://biodiv-sports.fr/api/v2/sportpractice/. HTTP status code {status_code}")
raise GlobalImportError(msg.format(url=response.url, status_code=response.status_code))
for practice in response.json()['results']:
defaults = {'name_' + lang: practice['name'][lang] for lang in practice['name'].keys() if lang in settings.MODELTRANSLATION_LANGUAGES}
SportPractice.objects.get_or_create(id=practice['id'], defaults=defaults)
bbox = Polygon.from_bbox(settings.SPATIAL_EXTENT)
bbox.srid = settings.SRID
bbox.transform(4326) # WGS84
url = self.url
url += '&in_bbox={}'.format(','.join([str(coord) for coord in bbox.extent]))
if self.practices:
url += '&practices={}'.format(','.join([str(practice) for practice in self.practices]))
response = requests.get(url)
if response.status_code != 200:
msg = _(u"Failed to download {url}. HTTP status code {status_code}")
raise GlobalImportError(msg.format(url=response.url, status_code=response.status_code))
self.root = response.json()
self.nb = int(self.root['count'])
for row in self.items:
yield row
def filter_bbox(self, queryset, bbox):
"""
modify the queryset q to limit to data that intersects with the
provided bbox
bbox - 4 tuple of floats representing 'southwest_lng,southwest_lat,
northeast_lng,northeast_lat'
returns the modified query
"""
bbox = [float(coord) for coord in bbox.split(',')]
search_box = Polygon.from_bbox(bbox)
for model in ModelDescription.objects.all():
django_model = model.get_django_model()
sql = """SELECT "{layername}"."fid" FROM "{layername}" \
WHERE ST_Intersects("{layername}"."the_geom", ST_Transform(ST_GeomFromEWKT('srid=4326;{bbox_ewkt}'), \
{projection})) LIMIT 1;""".format(
layername=model.name,
bbox_ewkt=search_box.ewkt,
projection=django_model.objects.first().the_geom.srid
)
try:
cursor.execute(sql)
if not cursor.fetchone():
queryset = queryset.exclude(id=model.layer_id)
except:
pass
return queryset
def validate_search_bbox(extents):
"""
Validates the export extents.
Args:
extents: a tuple of export extents (xmin, ymin, xmax, ymax)
Returns:
a a valid GEOSGeometry.
Raises:
ValidationError: if its not possible
to create a GEOSGeometry from the provided extents or
if the resulting GEOSGeometry is invalid.
"""
detail = OrderedDict()
detail['id'] = _('invalid_bounds')
detail['message'] = _('Invalid bounding box.')
try:
bbox = Polygon.from_bbox(extents)
if bbox.valid:
return bbox
else:
raise serializers.ValidationError(detail)
except GEOSException:
raise serializers.ValidationError(detail)
def mail_organizers_count(request):
boroughs = request.GET.getlist('boroughs')
lot_types = request.GET.getlist('lot_types')
owner_names = request.GET.getlist('owner_names')
user_types = request.GET.getlist('user_types')
bbox = request.GET.get('bbox', None)
lots = Lot.objects.filter(
borough__in=boroughs,
lotlayer__name__in=lot_types,
owner__name__in=owner_names,
)
if bbox:
p = Polygon.from_bbox(bbox.split(','))
lots = lots.filter(centroid__within=p)
organizers = 0
if 'organizers' in user_types:
# TODO in Django 1.4, could use distinct('organizer__email') ?
organizers = len(set(lots.exclude(organizer=None).values_list('organizer__email', flat=True)))
watchers = 0
if 'watchers' in user_types:
watchers = len(set(lots.exclude(watcher=None).values_list('watcher__email', flat=True)))
counts = {
'organizers': organizers,
'watchers': watchers,
}
return HttpResponse(json.dumps(counts), mimetype='application/json')
def setUp(self,):
self.url = settings.OVERPASS_API_URL
self.bbox = [-10.85, 6.25, -10.62, 6.4] # [<long0>, <lat0>, <long1>, <lat1>]
self.path = os.path.dirname(os.path.realpath(__file__))
self.formats = ExportFormat.objects.all() # pre-loaded by 'insert_export_formats' migration
group, created = Group.objects.get_or_create(name='TestDefaultExportExtentGroup')
with patch('eventkit_cloud.jobs.signals.Group') as mock_group:
mock_group.objects.get.return_value = group
self.user = User.objects.create(username='******', email='*****@*****.**', password='******')
bbox = Polygon.from_bbox((-7.96, 22.6, -8.14, 27.12))
the_geom = GEOSGeometry(bbox, srid=4326)
preset = DatamodelPreset.objects.get(name='hdm')
tags = preset.json_tags
self.assertEqual(259, len(tags))
self.job = Job.objects.create(name='TestJob', description='Test description',
event='Nepal activation', user=self.user, the_geom=the_geom,
json_tags=tags)
self.uid = self.job.uid
# add the formats to the job
self.job.formats = self.formats
self.job.save()
self.osm = self.path + '/files/query.osm'
self.query = '[maxsize:2147483648][timeout:1600];(relation(6.25,-10.85,6.4,-10.62);way(6.25,-10.85,6.4,-10.62);node(6.25,-10.85,6.4,-10.62));<;(._;>;);out body;'
def neighborhoods(request):
"""Return GeoJSON-encoded neighborhood objects matching the query"""
try:
bounds = request.GET['bounds']
except KeyError:
return HttpResponseBadRequest('Missing `bounds` parameter')
try:
bbox = Polygon.from_bbox(bounds.split(','))
except ValueError:
return HttpResponseBadRequest('Illegal `bounds` parameter')
diagonal_in_meters = Geod(ellps='WGS84').inv(*bbox.extent)[2]
if diagonal_in_meters > MINIMUM_DIAGONAL_IN_METERS:
return HttpResponseBadRequest('`bounds` parameter out of range')
neighborhoods = Neighborhood.objects.filter(geom__bboverlaps=bbox)
features = [neighborhood.feature for neighborhood in neighborhoods]
feature_collection = {
'type': 'FeatureCollection',
'features': features,
}
return HttpResponse(json.dumps(feature_collection), content_type='application/json')
def getBbox(long, lat, zoom_level, pixels=5):
'''
Given a point (lat/lon), zoom number (in spherical mercator) and pixel
tolerance, compute and return a BBOX geometry
'''
try:
p = Point(long, lat, srid=4326)
logger.debug('Got point of %s', p.coords)
p.transform(3857)
x, y = p.coords
logger.debug('Transformed %s to 3857', p.coords)
# Get the number of meters per pixel...
# At zoom level 0 (at the equator) there are ~156413 m/pixel, then it halves for
# each zoom level beyond that...
resolution = 156543.03392804062 / (2 ** zoom_level)
spacing = pixels * resolution
p = Point(x - spacing, y - spacing, srid=3857)
p.transform(4326)
xv1, yv1 = p.coords
p = Point(x + spacing, y + spacing, srid=3857)
p.transform(4326)
xv2, yv2 = p.coords
xmin = min(xv1, xv2)
xmax = max(xv1, xv2)
ymin = min(yv1, yv2)
ymax = max(yv1, yv2)
return Polygon.from_bbox((xmin, ymin, xmax, ymax))
except OverflowError as e:
logger.exception('Overflow reverse-mapping from mercator to lat/long')
return None
def setUp(self,):
Group.objects.create(name='TestDefaultExportExtentGroup')
self.user1 = User.objects.create_user(
username='******', email='*****@*****.**', password='******'
)
self.user2 = User.objects.create_user(
username='******', email='*****@*****.**', password='******'
)
extents = (-3.9, 16.1, 7.0, 27.6)
bbox = Polygon.from_bbox(extents)
the_geom = GEOSGeometry(bbox, srid=4326)
self.job1 = Job.objects.create(name='TestJob1',
description='Test description', user=self.user1,
the_geom=the_geom)
self.job2 = Job.objects.create(name='TestJob2',
description='Test description', user=self.user2,
the_geom=the_geom)
format = ExportFormat.objects.get(slug='obf')
self.job1.formats.add(format)
self.job2.formats.add(format)
token = Token.objects.create(user=self.user1)
self.client.credentials(HTTP_AUTHORIZATION='Token ' + token.key,
HTTP_ACCEPT='application/json; version=1.0',
HTTP_ACCEPT_LANGUAGE='en',
HTTP_HOST='testserver')
def setUp(self,):
self.path = os.path.dirname(os.path.realpath(__file__))
parser = presets.PresetParser(self.path + '/files/hdm_presets.xml')
self.tags = parser.parse()
self.assertIsNotNone(self.tags)
self.assertEquals(256, len(self.tags))
self.formats = ExportFormat.objects.all() #pre-loaded by 'insert_export_formats' migration
Group.objects.create(name='DefaultExportExtentGroup')
self.user = User.objects.create(username='******', email='*****@*****.**', password='******')
bbox = Polygon.from_bbox((-7.96, 22.6, -8.14, 27.12))
the_geom = GEOSGeometry(bbox, srid=4326)
self.job = Job.objects.create(name='TestJob',
description='Test description', event='Nepal activation',
user=self.user, the_geom=the_geom)
self.uid = self.job.uid
# add the formats to the job
self.job.formats = self.formats
self.job.save()
for tag in self.tags:
Tag.objects.create(
key = tag['key'],
value = tag['value'],
job = self.job,
data_model = 'osm',
geom_types = tag['geom_types']
)
self.categories = self.job.categorised_tags
def setUp(self,):
self.url = 'http://localhost/interpreter'
self.bbox = '6.25,-10.85,6.40,-10.62' # monrovia
self.path = os.path.dirname(os.path.realpath(__file__))
self.formats = ExportFormat.objects.all() #pre-loaded by 'insert_export_formats' migration
Group.objects.create(name='TestDefaultExportExtentGroup')
self.user = User.objects.create(username='******', email='*****@*****.**', password='******')
bbox = Polygon.from_bbox((-7.96, 22.6, -8.14, 27.12))
the_geom = GEOSGeometry(bbox, srid=4326)
self.job = Job.objects.create(name='TestJob',
description='Test description', event='Nepal activation',
user=self.user, the_geom=the_geom)
self.uid = self.job.uid
# add the formats to the job
self.job.formats = self.formats
self.job.save()
self.osm = self.path + '/files/query.osm'
self.query = '(node(6.25,-10.85,6.40,-10.62);<;);out body;'
self.job.tags.all().delete()
parser = presets.PresetParser(self.path + '/files/hdm_presets.xml')
tags = parser.parse()
self.assertIsNotNone(tags)
self.assertEquals(256, len(tags))
# save all the tags from the preset
for tag_dict in tags:
tag = Tag.objects.create(
key = tag_dict['key'],
value = tag_dict['value'],
job = self.job,
data_model = 'osm',
geom_types = tag_dict['geom_types']
)
self.assertEquals(256, self.job.tags.all().count())
def setUp(self):
self.path = os.path.dirname(os.path.realpath(__file__))
self.formats = ExportFormat.objects.all() # pre-loaded by 'insert_export_formats' migration
self.group, created = Group.objects.get_or_create(name='TestDefaultExportExtentGroup')
with patch('eventkit_cloud.jobs.signals.Group') as mock_group:
mock_group.objects.get.return_value = self.group
self.user = User.objects.create(username='******', email='*****@*****.**', password='******')
bbox = Polygon.from_bbox((-7.96, 22.6, -8.14, 27.12))
the_geom = GEOSGeometry(bbox, srid=4326)
export_provider = DataProvider.objects.get(slug='osm-generic')
provider_task = DataProviderTask.objects.create(provider=export_provider)
self.tags = [
{'key': 'building', 'value': 'yes'}, {'key': 'place', 'value': 'city'},
{'key': 'highway', 'value': 'service'}, {'key': 'aeroway', 'value': 'helipad'}
]
self.job = Job(name='TestJob',
description='Test description', event='Nepal activation',
user=self.user, the_geom=the_geom, json_tags=self.tags)
self.job.save()
self.uid = self.job.uid
# add the formats to the job
provider_task.formats.add(*self.formats)
self.job.provider_tasks.add(provider_task)
self.job.save()
def _get_box(self, value):
bbox = json.loads(value)
points = (bbox['_southWest']['lng'], bbox['_northEast']['lat'],
bbox['_northEast']['lng'], bbox['_southWest']['lat'])
box = Polygon.from_bbox(points)
box.srid = SRID_WSG84
box.transform(SRID_RD)
return box
def bbox_to_geojson(bbox=None):
"""
:param bbox: A list [xmin, ymin, xmax, ymax]
:returns: A geojson of the bbox.
"""
bbox = Polygon.from_bbox(bbox)
geometry = json.loads(GEOSGeometry(bbox, srid=4326).geojson)
return {"type": "Feature", "geometry": geometry}
class CityFactory(factory.DjangoModelFactory):
class Meta:
model = models.City
code = factory.Sequence(lambda n: u"#%s" % n) # id (!) with max_length=6
name = factory.Sequence(lambda n: u"City name %s" % n)
geom = factory.Sequence(lambda _: MultiPolygon(
Polygon.from_bbox(geom_city_iter.next()), srid=settings.SRID))
def test_job_outside_region(self, ):
job = Job.objects.all()[0]
bbox = Polygon.from_bbox((2.74, 47.66, 21.61, 60.24)) # outside any region
the_geom = GEOSGeometry(bbox, srid=4326)
job.the_geom = the_geom
job.save()
regions = Region.objects.filter(the_geom__intersects=job.the_geom).intersection(job.the_geom, field_name='the_geom').order_by('-intersection')
self.assertEquals(0, len(regions))
def compute_fields(self, **kwargs):
"""Other keyword args get passed in as a matter of course, like BBOX, time, and elevation, but this basic driver
ignores them"""
super(KmzDriver, self).compute_fields(**kwargs)
# archive = ZipFile(self.cached_basename + self.src_ext)
srs = osr.SpatialReference()
srs.ImportFromEPSG(4326)
self.resource.spatial_metadata.native_srs = srs.ExportToProj4()
self.resource.spatial_metadata.bounding_box = Polygon.from_bbox(
(-180, -90, 180, 90))
self.resource.spatial_metadata.native_bounding_box = Polygon.from_bbox(
(-180, -90, 180, 90))
self.resource.spatial_metadata.three_d = False
self.resource.spatial_metadata.save()
self.resource.save()
def encode_objects_for_tile(xyz):
tile_bounds = Polygon.from_bbox(mercantile.bounds(*xyz))
tile_bounds.srid = SRID_LNGLAT
tile_bounds.transform(SRID_SPHERICAL_MERCATOR)
objects = Place.objects.filter(location__intersects=tile_bounds).select_related('building').all()[:20]
return encode(objects, tile_bounds)
def _parse_mapkeys(self, map_keys):
# Create a bounding box from the given longitude & latitude.
lng = (float(map_keys['ne_lng']), float(map_keys['sw_lng']))
lat = (float(map_keys['ne_lat']), float(map_keys['sw_lat']))
box = Polygon.from_bbox((min(lng), min(lat), max(lng), max(lat)))
return Q(location__geo_point__intersects=box)
def get_geom(self):
entries = self.entry_set.exclude(geom=None)
if entries:
poly = entries.extent()
geom = Polygon.from_bbox(poly)
else:
geom = None
return geom
def q(z, x, y, track):
bbox = Polygon.from_bbox(
(*tile_to_3857(z, x, y + 1), *tile_to_3857(z, x + 1, y)))
bbox.srid = 3857
q = Sounding.objects.filter(coord__coveredby=bbox)
if track is not None:
q = q.filter(track=track)
return q
def in_bbox_filter(self, qs, name, value):
bbox_values, err = bbox.valid_bbox(value)
lon1, lat1, lon2, lat2 = bbox_values
poly_bbox = Polygon.from_bbox((lon1, lat1, lon2, lat2))
if err:
raise ValidationError(f"bbox invalid {err}:{bbox_values}")
return qs.filter(signal__location__geometrie__bboverlaps=poly_bbox)
def filter(self, qs, value):
try:
bbox = value.split(",")
geom = Polygon.from_bbox(bbox)
except (ValueError, GEOSException):
return qs
qs = qs.filter(coordinates__within=geom)
return qs
def serve_lac_json(request):
qs = models.O3gmLac.objects.all()
try:
bbox = request.GET.get('bbox').split(',')
geom = Polygon.from_bbox(bbox)
qs = qs.filter(geometry__intersects=geom)
except Exception, e:
log.error(e)
def poly_from_bbox(bbox_val):
points = bbox_val.split(',')
if len(points) != 4:
raise InvalidFilterError("bbox must be in format 'left,bottom,right,top'")
try:
return Polygon.from_bbox( [float(p) for p in points])
except ValueError:
raise InvalidFilterError("bbox values must be floating point")
def test_gis_query_as_string(self):
"""GIS queries can be represented as strings."""
query = City.objects.filter(point__within=Polygon.from_bbox((0, 0, 2,
2)))
self.assertIn(
connection.ops.quote_name(City._meta.db_table),
str(query.query),
)
class RestrictedAreaFactory(factory.DjangoModelFactory):
class Meta:
model = models.RestrictedArea
name = factory.Sequence(lambda n: u"Restricted area name %s" % n)
geom = factory.Sequence(lambda _: MultiPolygon(
Polygon.from_bbox(geom_area_iter.next()), srid=settings.SRID))
area_type = factory.SubFactory(RestrictedAreaTypeFactory)
def image(request, id=None):
@logged_in_or_basicauth()
def handle_update(request, image):
data = simplejson.loads(request.raw_post_data)
image.from_json(data, request.user)
image.save()
return json_response(request, image)
if id == None and request.method == "POST":
i = Image()
return handle_update(request, i)
elif id != None:
i = Image.objects.get(pk=id)
if request.method == "DELETE":
i.delete()
return json_response(request, "")
elif request.method == "POST":
return handle_update(request, i)
return json_response(request, i)
else:
images = Image.objects.all().select_related()
output = request.GET.get('output', 'simple')
if 'archive' in request.GET and request.GET['archive'].lower() in (
"true", "t", "1"):
images = images.filter(archive=True)
else:
images = images.filter(archive=False)
if 'layer' in request.GET:
images = images.filter(layers__id=request.GET['layer'])
if 'bbox' in request.GET:
left, bottom, right, top = map(float,
request.GET['bbox'].split(","))
box = Polygon.from_bbox([left, bottom, right, top])
images = images.filter(bbox__intersects=box)
limit = min(int(request.GET.get("limit", 1000)), 10000)
start = int(request.GET.get("start", 0))
end = start + limit
images = images.order_by("-id")
# Instantiating full image objects for thousands of images is slow;
# instead, just use .values and make our own dict here. Adding more
# properties here should be done with consideration.
if output == 'simple':
data = {
'images': [
dict(x) for x in images[start:end].values(
"id", "width", "height", "url", "bbox")
]
}
for i in data['images']:
i['bbox'] = list(i['bbox'].extent)
else:
data = {
'images':
[i.to_json(output=output) for i in images[start:end]]
}
return json_response(request, data)
def get_geofeatures(request):
bounds_param = get_param(request.GET, 'within')
query = request.GET.copy()
if bounds_param:
pnts = bounds_param.split(',')
bbox = (float(pnts[0]), float(pnts[1]),
float(pnts[2]), float(pnts[3]))
poly = Polygon.from_bbox(bbox)
poly.set_srid(4326)
del query['within']
base_query = Q()
if bounds_param:
base_query = base_query & Q(location__within=poly)
# cast within bounds
cast_base_query = models.Cast.get_privacy_q(request) & base_query
q = qstranslate.QueryTranslator(models.Cast, CastAPI.ruleset, cast_base_query)
casts = q.filter(query)
cast_arr = []
for c in casts:
if c.location:
cast_arr.append(geojson_serialize(c, c.location, request))
#event within bounds
events = models.Event.objects.filter(base_query)
event_arr = []
for e in events:
if e.location:
event_arr.append(geojson_serialize(e, e.location, request))
# itinerary intersects bounds
if bounds_param:
base_query = Q(path__intersects = poly)
itins = models.Itinerary.objects.filter(base_query)
itin_arr = []
for i in itins:
if i.path:
itin_arr.append(geojson_serialize(i, i.path, request))
features_dict = {}
features_dict['casts'] = dict(type='FeatureCollection', features=cast_arr)
features_dict['events'] = dict(type='FeatureCollection', features=event_arr)
features_dict['itineraries'] = dict(type='FeatureCollection', features=itin_arr)
dict(casts = cast_arr, events = event_arr,
itineraries = itin_arr)
return APIResponseOK(content=features_dict)
def getdmadetail(request):
print(request.GET)
print(request.POST)
dma_no = request.GET.get("dma_no")
# (u'118.28575800964357', u'29.8010417315232', u'118.53518199035648', u'29.924899835516314')
# left = 118.28575800964357
# top = 29.8010417315232
# right = 118.53518199035648
# bottom = 29.924899835516314
print('1.12...', left, top, right, bottom)
bbox = (float(left), float(top), float(right), float(bottom))
print(bbox)
geom = Polygon.from_bbox(bbox)
print('geom:', geom)
# pgeojson = {"type":"FeatureCollection","features":[{"type":"Feature","geometry":{"type":"Polygon","coordinates":[[[13178892.355395831,3489944.851357296],[13181281.012238158,3490454.4314972665],[13181822.4413829,3488777.063506157],[13180803.280811375,3487460.647792236],[13178648.181393484,3487938.3792190184],[13178202.298825681,3489021.2372169197],[13178892.355395831,3489944.851357296]]]},"properties":"null"}]}
# return JsonResponse(pgeojson)
# geodata=FenceShape.objects.filter(geomdata__intersects=geom)
rsql = '''
SELECT id,geomdata,geomjson FROM `virvo_fenceshape`
WHERE
MBRWITHIN(geomdata,
ST_GEOMFROMTEXT('{}', 0 )
)
;
'''.format(geom)
geodata = FenceShape.objects.raw(rsql)
data = []
data_property = []
for q in geodata:
f = FenceShape.objects.get(name=q.name)
print(' \t\n:', q.id, '#########', f.geomdata.geojson, '-----',
q.geomjson)
# tmp = q.geojsondata()
# print('tmp:',tmp)
print('\r\n')
# data.append(json.dumps(tmp))
# data.append(json.loads(f.geomjson))
properties = {
"strokeColor": q.strokeColor,
"fillColor": q.fillColor,
"name": q.name
}
data.append(json.loads(f.geomdata.geojson))
data_property.append(properties)
# return return_feature_collection(data)
ret = build_feature_collection(data, data_property)
print('\r\n')
# print('ere&*^*&^*&:::::',ret)
# print(json.loads(ret))
tmp = JsonResponse(ret, safe=False)
print('jsontmp:', tmp.content)
return JsonResponse(ret)
def test_job_region(self, ):
bbox = Polygon.from_bbox((-7.96, 22.6, -8.14, 27.12)) # africa
region = Region.objects.filter(the_geom__contains=bbox)[0]
self.assertIsNotNone(region)
self.assertEquals('Africa', region.name)
self.job.region = region
self.job.save()
saved_job = Job.objects.all()[0]
self.assertEqual(saved_job.region, region)
def get(self, request, x0=None, y0=None, x1=None, y1=None):
bbox = Polygon.from_bbox([x0, y0, x1, y1]) if x0 else None
geom = get_geom_from_cache()
ocorrencias = Ocorrencia.objects.filter_by_geom_and_bbox(geom, bbox)
if not get_user_agent(request).is_mobile:
ocorrencias = SearchForm(request.GET or None, queryset=ocorrencias).get_queryset()
response = StreamingHttpResponse(streaming_ocorrencias(ocorrencias), content_type='application/json')
response['Cache-Control'] = 'max-age=0, no-cache, no-store'
return response
def points(request):
BB = request.REQUEST.get('BB')
ret = DataPoint.objects.filter(position__contained=Polygon.from_bbox(
[float(bb) for bb in BB.split(',')]))
return HttpResponse(
json.dumps({
'type': 'FeatureCollection',
'features': [geoj(r) for r in ret]
}))
def make_unformated_data(feature):
_dict = feature["properties"]
if 'geometry' in feature:
geom = {self.Meta.geo_field: feature["geometry"]}
_dict.update(geom)
if self.Meta.bbox_geo_field and 'bbox' in feature:
# build a polygon from the bbox
_dict.update({self.Meta.bbox_geo_field: Polygon.from_bbox(feature['bbox'])})
return _dict
def handle(self, *args, **options):
for rec in json.loads(open('./fixtures/langs.json').read())['features']:
lang = Language.objects.get(name=rec['properties']['title'])
print(rec['properties']['title'], 'geom being loaded.')
lang.geom = GEOSGeometry(json.dumps(rec['geometry']))
lang.bbox = Polygon.from_bbox(lang.geom.extent)
lang.color = rec['properties']['color'].replace(' ','')
lang.save()
def filter_locality(extent=None,
country=None,
timestamp_from=None,
timestamp_to=None,
place=None):
""" Filter osm locality by extent and country
:param extent: extent of data
:type extent: str (with comma separator)
:param country: specific country
:type country: str
:param timestamp_from: start time
:type timestamp_from: timestamp
:param timestamp_to: end time
:type timestamp_to: timestamp
:return: LocalityOSMView
"""
# check extent data
queryset = all_locality()
if extent:
try:
polygon = parse_bbox(extent)
except (ValueError, IndexError):
raise Exception('extent is incorrect format')
queryset = queryset.in_polygon(polygon)
# check by country
if country:
try:
# getting country's polygon
country = Country.objects.get(name__iexact=country)
if country:
polygons = country.polygon_geometry
queryset = queryset.in_polygon(polygons)
except Country.DoesNotExist:
raise Exception('%s is not found or not a country.' % country)
if place:
try:
geo = search_by_geoname(place)
bbox = (geo['southwest']['lng'], geo['southwest']['lat'],
geo['northeast']['lng'], geo['northeast']['lat'])
geom = Polygon.from_bbox(bbox)
queryset = queryset.filter(geometry__within=geom)
except Exception:
pass
if timestamp_from:
queryset = queryset.filter(changeset_timestamp__gte=timestamp_from)
if timestamp_to:
queryset = queryset.filter(changeset_timestamp__lte=timestamp_to)
return queryset
def test_job_outside_region(self, ):
job = Job.objects.all()[0]
bbox = Polygon.from_bbox(
(2.74, 47.66, 21.61, 60.24)) # outside any region
the_geom = MultiPolygon(GEOSGeometry(bbox, srid=4326))
job.the_geom = the_geom
job.save()
regions = Region.objects.filter(the_geom__intersects=job.the_geom)
self.assertEqual(0, len(regions))
def service(self, request, nelat, nelng, swlat, swlng):
boundsRect = Polygon.from_bbox((min(nelng, swlng), min(nelat, swlat),
max(nelng, swlng), max(nelat, swlat)))
stopGeoQuerySet = Stop.objects.filter(point__within=boundsRect)[:50]
jsonOut = json.dumps({'stops': list(stopGeoQuerySet)},
cls=ModelJSONEncoder)
print 'Area', boundsRect.area
return HttpResponse(
jsonOut, content_type='application/javascript; charset=utf8')
def __sanitize(self, qdict):
'''
Convert the values into python types, sanitize them using the rule set.
All values lists
'''
for k, v in qdict.items():
field, modifier = self.__get_field(k)
# If it's not a valid field, or a field that should be exposed, remove it
if not field in self.ruleset:
del qdict[k]
else:
# CHECK THE TYPE
type = self.ruleset[field]['type']
if type == 'string':
qdict[k] = [str(v)]
elif type == 'int':
qdict[k] = [int(v)]
elif type == 'bool':
qdict[k] = [(v.lower() == 'true')]
elif type == 'list':
list = v.split(',')
qdict[k] = list
elif type == 'datetime':
qdict[k] = [strtodate(v)]
elif type == 'geo_distance':
# The value should be a tuple like this: (point, distance)
# where point is a Point object and distance a Distance object
dist = v.split(',')
pnt = Point(float(dist[0]), float(dist[1]))
# TODO: make the measurement type specifiable i.e. 30mi, 20km
# right now it defaults to meters.
dist = D(m=dist[2])
qdict[k] = [(pnt, dist)]
elif type == 'geo_polygon':
pnts = v.split(',')
bbox = (float(pnts[0]), float(pnts[1]), float(pnts[2]),
float(pnts[3]))
poly = Polygon.from_bbox(bbox)
# TODO: 4326 - this should be a setting?
poly.set_srid(4326)
qdict[k] = [poly]
else:
qdict[k] = [str(v)]
def test_fields(self):
size_request = SizeIncreaseRequest.objects.all()[0]
bbox = Polygon.from_bbox((-7.96, 22.6, -8.14, 27.12))
the_geom = MultiPolygon(GEOSGeometry(bbox, srid=4326), srid=4326)
self.assertEqual(size_request.the_geom, the_geom)
self.assertEqual(size_request.requested_aoi_size, 5000)
self.assertEqual(size_request.requested_data_size, 1000)
self.assertEqual(size_request.status, "pending")
self.assertEqual(size_request.user, self.user)
def get_queryset(self):
collection_id = self.kwargs['collection_id']
params = self.request.GET.dict()
qset = Feature.objects.filter(collection_id=collection_id)
if 'bbox' in params and params['bbox']:
bbox_filter = params['bbox']
bbox = Polygon.from_bbox((float(b) for b in bbox_filter.split(',')))
qset = qset.filter(geometry__bboverlaps=bbox)
return qset
def get_queryset(self):
box = self.request.query_params.get("box", None)
if box:
[xmin, ymin, xmax, ymax] = box.split(',')
poly = Polygon.from_bbox((xmin, ymin, xmax, ymax))
return Product.objects.select_related('creator').filter(
creator__address__point__within=poly).filter(quantity__gt=0)
else:
return Product.objects.filter(quantity__gt=0)
