def update_sheds(self):
from maps import get_sheds
sheds = get_sheds(self.id)
self.shed_05 = MultiPolygon(GEOSGeometry(sheds[0.5]))
self.shed_10 = MultiPolygon(GEOSGeometry(sheds[1.0]))
self.shed_15 = MultiPolygon(GEOSGeometry(sheds[1.5]))
self.shed_20 = MultiPolygon(GEOSGeometry(sheds[2.0]))
g = self.shed_20.difference(self.shed_15)
try:
self.shed_20 = g
except TypeError:
if g.area == 0:
self.shed_20 = None
g = self.shed_15.difference(self.shed_10)
try:
self.shed_15 = g
except TypeError:
if g.area == 0:
self.shed_15 = None
g = self.shed_15.difference(self.shed_10)
try:
self.shed_15 = g
except TypeError:
if g.area == 0:
self.shed_15 = None
def collapse_zip_codes(self):
# The ESRI ZIP Code layer breaks ZIP Codes up along county
# boundaries, so we need to collapse them first before
# proceeding
if len(self.zipcodes) > 0:
return
for feature in self.layer:
zipcode = feature.get(self.name_field)
geom = feature.geom.geos
if zipcode not in self.zipcodes:
self.zipcodes[zipcode] = geom
else:
# If it's a MultiPolygon geom we're adding to our
# existing geom, we need to "unroll" it into its
# constituent polygons
if isinstance(geom, MultiPolygon):
subgeoms = list(geom)
else:
subgeoms = [geom]
existing_geom = self.zipcodes[zipcode]
if not isinstance(existing_geom, MultiPolygon):
new_geom = MultiPolygon([existing_geom])
new_geom.extend(subgeoms)
self.zipcodes[zipcode] = new_geom
else:
existing_geom.extend(subgeoms)
def create_country(coords, properties, name, polygon_type):
if polygon_type == 'Polygon':
multipolygon_latlng = MultiPolygon([Polygon(coord_set) for coord_set in coords], srid=4326)
else:
multipolygon_latlng = MultiPolygon([Polygon(coord_set[0]) for coord_set in coords], srid=4326)
multipolygon_webmercator = multipolygon_latlng.transform(3857, clone=True)
return Country(name=name, border_latlng=multipolygon_latlng, properties=properties, border_webmercator=multipolygon_webmercator)
def save(self, verbose=False):
# The ESRI ZIP Code layer breaks ZIP Codes up along county
# boundaries, so we need to collapse them first before
# proceeding
zipcodes = {}
for feature in self.layer:
zipcode = feature.get('POSTAL')
geom = feature.geom.geos
if zipcode not in zipcodes:
zipcodes[zipcode] = geom
else:
# If it's a MultiPolygon geom we're adding to our
# existing geom, we need to "unroll" it into its
# constituent polygons
if isinstance(geom, MultiPolygon):
subgeoms = list(geom)
else:
subgeoms = [geom]
existing_geom = zipcodes[zipcode]
if not isinstance(existing_geom, MultiPolygon):
new_geom = MultiPolygon([existing_geom])
new_geom.extend(subgeoms)
zipcodes[zipcode] = new_geom
else:
existing_geom.extend(subgeoms)
sorted_zipcodes = sorted(zipcodes.iteritems(), key=lambda x: int(x[0]))
now = datetime.datetime.now()
num_created = 0
for i, (zipcode, geom) in enumerate(sorted_zipcodes):
if not geom.valid:
geom = geom.buffer(0.0)
if not geom.valid:
print >> sys.stderr, 'Warning: invalid geometry for %s' % zipcode
geom.srid = 4326
zipcode_obj, created = Location.objects.get_or_create(
name = zipcode,
normalized_name = zipcode,
slug = zipcode,
location_type = self.location_type,
location = geom,
centroid = geom.centroid,
display_order = i,
city = self.city,
source = 'ESRI',
area = geom.transform(3395, True).area,
is_public = True,
creation_date = now,
last_mod_date = now,
)
if created:
num_created += 1
if verbose:
print >> sys.stderr, '%s ZIP Code %s ' % (created and 'Created' or 'Already had', zipcode_obj.name)
return num_created
def _make_square_polygon(self, x, y):
d = 0.1
polygon = MultiPolygon(
Polygon(
((x, y),
(x, y + d),
(x + d, y + d),
(x + d, y),
(x, y)), srid=4326),
srid=4326)
polygon.transform(3857)
return polygon
def test_spatial_fields(self,):
bbox = Polygon.from_bbox((-7.96, 22.6, -8.14, 27.12)) # in africa
the_geom = MultiPolygon(GEOSGeometry(bbox, srid=4326), srid=4326)
the_geog = MultiPolygon(GEOSGeometry(bbox), srid=4326)
the_geom_webmercator = the_geom.transform(ct=3857, clone=True)
job = Job.objects.all()[0]
self.assertIsNotNone(job)
geom = job.the_geom
geog = job.the_geog
geom_web = job.the_geom_webmercator
self.assertEqual(the_geom, geom)
self.assertEqual(the_geog, geog)
self.assertEqual(the_geom_webmercator, geom_web)
def set_geometry_from_government_unit(self):
objs = self.government_unit_objects
if objs:
for g in [x for x in objs if getattr(x, 'geom', None)]:
self.geom = MultiPolygon(self.geom.union(g.geom))
self.save()
def test_can_create_serializer(self):
mp = MapPoint.objects.get(pk=1)
setattr(mp, "field1", "mp_field1")
setattr(mp, "field2", "mp_field2")
names = DatasetNameField(field1_name="field1",
field2_name="field2",
field3_name="field3")
names.save()
ds = Dataset(name="ds", names=names)
ds.save()
p1 = Polygon(((0, 0), (0, 1), (1, 1), (0, 0)))
p2 = Polygon(((1, 1), (1, 2), (2, 2), (1, 1)))
mpoly = MultiPolygon(p1, p2)
polygon = MapPolygon(lat='42.7302',
lon='73.6788',
field1=1.0,
field2=2.0,
mpoly=mpoly,
dataset=ds)
polygon.save()
me = MapElement(dataset=ds, mappoint=mp, mappolygon=polygon)
me.save()
df = DataField(dataset=ds,
field_type='I',
field_name='int_data',
field_en='test')
df.save()
element = DataElement(mapelement=me, datafield=df, int_data=23)
element.save()
request = RequestFactory().put('/?data=all')
self.user = User.objects.get(username='******')
request.user = self.user
# convert the HTTP Request object to a REST framework Request object
self.request = APIView().initialize_request(request)
serializer = TestSerializer(context={'request': self.request})
expected_address = {
"street": "",
"city": "Troy",
"state": "NY",
"zipcode": "",
"county": ""
}
self.assertEqual(serializer.get_address(me), expected_address)
self.assertEqual(serializer.get_data(me)['test'], 23)
self.assertEqual(serializer.get_geom(me)['type'], 'MultiPolygon')
tag1 = Tag(dataset=ds, tag='tag1', approved=True, count=1)
tag1.save()
tag2 = Tag(dataset=ds, tag='tag2', approved=True, count=1)
tag2.save()
tagindiv1 = TagIndiv(tag=tag1, mapelement=me)
tagindiv1.save()
tagindiv2 = TagIndiv(tag=tag2, mapelement=me)
tagindiv2.save()
self.assertTrue('tag1' in serializer.get_tags(me))
self.assertTrue('tag2' in serializer.get_tags(me))
def importwktcommunes(self):
j = 0
communes_text_save = 'communes sauvées'
communes_text_error = 'communes pas sauvées'
communes_errors = {}
# sion : 2757528 champéry : 1685287, st-maurice : 2757524
for i in range(1685264, 1685408):
try:
name_data = urlopen(
'http://www.openstreetmap.org/api/0.6/relation/' +
str(i)).read().decode('utf-8')
doc = ET.fromstring(name_data)
name = doc[0].findall('tag')[2].attrib['v'].replace(
'(VS)', '').replace(' ', '')
wkt_data = urlopen(
'http://polygons.openstreetmap.fr/get_wkt.py?id=' +
str(i) + "¶ms=0").read().decode('utf-8')
path = settings.BASE_DIR + '/associations/imports/geo/regionchild2/' + name.lower(
) + '.wkt'
file = open(path, 'w+')
file.write(wkt_data)
file.close()
boundaries = GEOSGeometry(wkt_data)
if not isinstance(boundaries, MultiPolygon):
boundaries = MultiPolygon(GEOSGeometry(wkt_data))
except:
pass
else:
if RegionChild2.objects.filter(
name__in=[name.lower(), name]).exists():
# TODO : les communes sont en capitalize maintenant
reg = RegionChild2.objects.get(
name__in=[name.lower(), name])
reg.boundaries = boundaries
print('on sauverait la commune ' + str(reg.name) +
' avec le fichier ' + path)
print('on changerait le nom de la commune de ' +
str(reg.name) + ' pour ' + name)
communes_text_save += ', ' + name
reg.name = name
reg.save()
j += 1
else:
print(
'La commune ' + name +
' ne se trouve pas dans la bdd, prière de le faire à la main'
)
communes_errors[name] = {
'boundaries': boundaries,
'name': name,
'file': file,
'path': path
}
communes_text_error += ', ' + name
def handle(self, *args, **options):
api_client = ApiClient()
api_client.configuration.host = "https://deims.org/api"
api = swagger_client.DefaultApi(api_client=api_client)
sites = api.sites_get()
for s in sites:
site = api.sites_resource_id_get(resource_id=s.id.suffix)
if not (set(['Italy', 'Slovenia', 'Croatia']) & set(site.attributes.geographic.country)):
continue
print(site.id.prefix, site.id.suffix, site.title, site.attributes.geographic.country)
domain_area = None
if site.attributes.geographic.boundaries is not None:
domain_area = GEOSGeometry(site.attributes.geographic.boundaries, srid=4326)
if domain_area and (isinstance(domain_area, LineString)
or (domain_area, MultiLineString)):
domain_area = domain_area.buffer(0.0001)
if domain_area and isinstance(domain_area, Polygon):
domain_area = MultiPolygon(domain_area)
obj, created = EcosSite.objects.get_or_create(
suffix = site.id.suffix,
defaults= {'location' : GEOSGeometry(site.attributes.geographic.coordinates, srid=4326)}
)
obj.data = json.loads(api_client.last_response.data)
obj.denomination = site.title
obj.description = site.attributes.general.abstract
obj.domain_area = domain_area
obj.website= site.id.prefix+site.id.suffix
obj.last_update = site.changed
obj.img = imgimport(site.id.suffix)
obj.location = GEOSGeometry(site.attributes.geographic.coordinates, srid=4326)
obj.save()
if site.attributes.focus_design_scale.parameters is not None:
#print(site.attributes.focus_design_scale.parameters.__class__, site.attributes.focus_design_scale.parameters.__dict__)
#print(site.attributes.focus_design_scale.parameters)
#print(site.attributes.focus_design_scale.parameters[0].label)
#print(site.attributes.focus_design_scale.parameters[0].uri)
preferred_label_en = site.attributes.focus_design_scale.parameters[0].label
obj, created = Parameter.objects.get_or_create(
uri = site.attributes.focus_design_scale.parameters[0].uri,
defaults={'preferred_label_en': preferred_label_en}
)
preferred_label_en = preferred_label_en
def get_polygons(self, geom):
result = GEOSGeometry(json.dumps(geom))
if isinstance(result, Polygon):
result = MultiPolygon(result)
if self.srid:
result.srid = self.srid
return result
def test_geometry_is_empty_with_empty_geometry(self):
"""IF an empty GEOSGeometry object should be validated, THEN the validator shall raise a ValidationError with the message 'Empty geometry collections are not allowed.'."""
raised = False
try:
geometry_is_empty(MultiPolygon())
except ValidationError as e:
raised = True
self.assertEqual('Empty geometry collections are not allowed.', e.message, msg='ValidationError message is not as expacted.')
finally:
self.assertIs(True, raised, msg='ValidationError didn\'t raised')
def derive_location_from_related_plans(self, buffer: int = 5):
"""
Derive unified location polygon based on related plan models.
Buffer the individual points with N meters.
:param buffer: Buffer radius
"""
locations = self._get_related_locations()
if len(locations) == 0:
self.location = None
else:
location_polygons = MultiPolygon(
[p.buffer(buffer) for p in self._get_related_locations()],
srid=settings.SRID,
)
area = location_polygons.convex_hull
self.location = MultiPolygon(area, srid=settings.SRID)
self.save(update_fields=["location"])
def test_multipolygon_validation(self):
p = Patient.objects.create(name='Joe')
p.eav.zone = True
self.assertRaises(ValidationError, p.save)
poly1 = Polygon(((0.0, 0.0), (0.0, 50.0), (50.0, 50.0), (50.0, 0.0), (0.0, 0.0)))
poly2 = Polygon(((50.0, 50.0), (50.0, 80.0), (80.0, 80.0), (80.0, 50.0), (50.0, 50.0)))
multipoly = MultiPolygon((poly1, poly2))
p.eav.zone = multipoly
p.save()
self.assertEqual(Patient.objects.get(pk=p.pk).eav.zone, multipoly)
def setUp(self):
boundary = Boundary.objects.create(
label='fooOK',
source_file='foo.zip',
status=Boundary.StatusTypes.COMPLETE)
coords = ((0, 0), (0, 1), (1, 1), (1, 0), (0, 0))
self.poly = BoundaryPolygon.objects.create(
data={},
geom=MultiPolygon(Polygon(LinearRing(coords))),
boundary=boundary)
def __create_imagetiles__(self, *args, **kwargs):
if self.imagelayer_file.path.split('.')[ -1 ] == 'tif':
# create tiles for one image
seconds, polygon = self.__create_imagetiles_one__( self.imagelayer_file.path, *args, **kwargs )
# update layer
self.geom = MultiPolygon([ polygon ])
self.imagelayer_available = True
# override again
super(ImageLayer, self).save(*args, **kwargs)
elif self.imagelayer_file.path.split('.')[ -1 ] == 'zip':
# data
m_polyset = []
seconds = 0
# unzip file
for path in unzip(self.imagelayer_file.path, '/tmp'):
# create tiles for one image
second, polygon = self.__create_imagetiles_one__(path, *args, **kwargs)
print( polygon )
# update data
seconds += second
m_polyset.append( polygon )
# update layer
self.geom = MultiPolygon( m_polyset )
self.imagelayer_available = True
print( seconds )
# override again
super(ImageLayer, self).save(*args, **kwargs)
else:
assert False
def test_boundary_constraint(self):
b = Boundary.objects.create(
geom=MultiPolygon(make_simple_polygon(0)),
name='whatever',
category='whatever',
sort_order=1)
inparams = search._parse_dict_value({'IN_BOUNDARY': b.pk})
self.assertEqual(inparams,
{'__contained': b.geom})
def merge_features(self, features):
polygons = []
for feat in features:
if isinstance(feat.geom.geos, MultiPolygon):
multipoly = feat.geom.geos
polygons = polygons + [poly for poly in multipoly]
else:
polygons.append(feat.geom.geos)
return MultiPolygon(polygons)
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).intersection(job.the_geom,
field_name='the_geom').order_by(
'-intersection')
self.assertEquals(0, len(regions))
def forwards(self, orm):
# Adding field 'Instance.bounds'
dummy_default_multi_polygon = MultiPolygon(
Polygon(((0, 0), (1, 0), (1, 1), (0, 1), (0, 0))))
db.add_column(
u'treemap_instance',
'bounds',
self.gf('django.contrib.gis.db.models.fields.MultiPolygonField')(
srid=3857, default=dummy_default_multi_polygon),
keep_default=False)
for instance in orm.Instance.objects.all():
point = instance.center
calculated_box = MultiPolygon(
Polygon.from_bbox((point.x - 2500, point.y - 2500,
point.x + 2500, point.y + 2500)))
instance.bounds = calculated_box
instance.save()
def setUp(self):
pos_data = {
'document': '12345',
'owner_name': 'John',
'trading_name': 'Doe',
'coverage_area': MultiPolygon(Polygon((Point(0, 0), Point(1, 1), Point(0, 2), Point(0, 0)))),
'address': Point(1, 0)
}
self.point_of_sale = PointOfSale(**pos_data)
self.point_of_sale.save()
def _create_models(self):
mommy.make(
models.Garea,
geom=MultiPolygon(Polygon(
((30, 20), (45, 40), (10, 40), (30, 20)))),
name="Baranduin",
code="ME07",
)
mommy.make(models.Station, geom=Point(x=35, y=20), name="Sarn Ford")
mommy.make(models.Station, geom=Point(x=5, y=20), name="Mithlond")
def convert_to_multipolygon(geom):
"""
Function to convert a geometry into a MultiPolygon. This function will
return an empty geometry if conversion is not possible. Examples are
if the geometry are points or lines, then an empty geomtetry is returned.
"""
cursor = connection.cursor()
# Store this geom's srid
srid = geom.srid
# Setup empty response
empty = MultiPolygon([], srid=srid)
# Check if geom is empty or has no area (point & line)
if geom.empty or geom.area == 0:
return empty
# Try to iteratively convert to valid multi polygon
for i in range(10):
# Check if conditions are met
if geom.geom_type != 'MultiPolygon' or geom.valid_reason != 'Valid Geometry':
# Run cleaning sequence
try:
sql = "SELECT ST_AsText(ST_CollectionExtract(ST_MakeValid('{wkt}'), 3))".format(
wkt=geom.wkt)
cursor.execute(sql)
geom = GEOSGeometry(cursor.fetchone()[0], srid=srid)
if geom.geom_type != 'MultiPolygon':
geom = MultiPolygon(geom, srid=srid)
# If cleaning sequence raises exception, return empty geometry
except:
return empty
# If conditions are met, stop iterating
else:
break
# Check if all conditions are statisfied after conversion
if geom.empty or geom.area == 0 or geom.geom_type != 'MultiPolygon'\
or geom.valid_reason != 'Valid Geometry':
return empty
else:
return geom
def test_create(self):
category = mommy.make(models.GareaCategory)
garea = models.Garea(
name="Esgalduin",
category=category,
geom=MultiPolygon(Polygon(
((30, 20), (45, 40), (10, 40), (30, 20)))),
)
garea.save()
self.assertEqual(models.Garea.objects.first().name, "Esgalduin")
def test_paths_link(self):
p1 = PathFactory.create(geom=LineString((0, 0), (1, 1)))
p2 = PathFactory.create(geom=LineString((1, 1), (3, 3)))
p3 = PathFactory.create(geom=LineString((3, 3), (4, 4)))
p4 = PathFactory.create(geom=LineString((4, 1), (6, 2), (4, 3)))
c1 = City.objects.create(code='005177',
name='Trifouillis-les-oies',
geom=MultiPolygon(
Polygon(((0, 0), (2, 0), (2, 4), (0, 4),
(0, 0)),
srid=settings.SRID)))
City.objects.create(code='005179',
name='Trifouillis-les-poules',
geom=MultiPolygon(
Polygon(
((2, 0), (5, 0), (5, 4), (2, 4), (2, 0)),
srid=settings.SRID)))
# There should be automatic link after insert
self.assertEqual(len(p1.cities), 1)
self.assertEqual(len(p2.cities), 2)
self.assertEqual(len(p3.cities), 1)
self.assertEqual(len(p4.cities), 1)
c1.geom = MultiPolygon(
Polygon(((1.5, 0), (2, 0), (2, 4), (1.5, 4), (1.5, 0)),
srid=settings.SRID))
c1.save()
# Links should have been updated after geom update
self.assertEqual(len(p1.cities), 0)
self.assertEqual(len(p2.cities), 2)
self.assertEqual(len(p3.cities), 1)
self.assertEqual(len(p4.cities), 1)
c1.delete()
# Links should have been updated after delete
self.assertEqual(len(p1.cities), 0)
self.assertEqual(len(p2.cities), 1)
self.assertEqual(len(p3.cities), 1)
self.assertEqual(len(p4.cities), 1)
def create_polygon(self):
poly_1 = Polygon(((0, 0), (0, 1), (1, 1), (0, 0)))
poly_2 = Polygon(((1, 1), (1, 2), (2, 2), (1, 1)))
multipoly = MultiPolygon(poly_1, poly_2)
return MmtPolygon(
name='test polygon',
geom=multipoly,
popup_image=self.test_img,
banner_image=self.test_img,
popup_audio_file=File(file=self.test_audio_file).save())
def test_helpers(self):
trek = TrekFactory.create(no_path=True)
p1 = PathFactory.create(geom=LineString((0, 0), (4, 4)))
p2 = PathFactory.create(geom=LineString((4, 4), (8, 8)))
poi = POIFactory.create(no_path=True)
service = ServiceFactory.create(no_path=True)
service.type.practices.add(trek.practice)
PathAggregationFactory.create(topo_object=trek,
path=p1,
start_position=0.5)
PathAggregationFactory.create(topo_object=trek, path=p2)
PathAggregationFactory.create(topo_object=poi,
path=p1,
start_position=0.6,
end_position=0.6)
PathAggregationFactory.create(topo_object=service,
path=p1,
start_position=0.7,
end_position=0.7)
# /!\ District are automatically linked to paths at DB level
d1 = DistrictFactory.create(geom=MultiPolygon(
Polygon(((-2, -2), (3, -2), (3, 3), (-2, 3), (-2, -2)))))
# Ensure related objects are accessible
self.assertItemsEqual(trek.pois, [poi])
self.assertItemsEqual(trek.services, [service])
self.assertItemsEqual(poi.treks, [trek])
self.assertItemsEqual(service.treks, [trek])
self.assertItemsEqual(trek.districts, [d1])
# Ensure there is no duplicates
PathAggregationFactory.create(topo_object=trek,
path=p1,
end_position=0.5)
self.assertItemsEqual(trek.pois, [poi])
self.assertItemsEqual(trek.services, [service])
self.assertItemsEqual(poi.treks, [trek])
self.assertItemsEqual(service.treks, [trek])
d2 = DistrictFactory.create(
geom=MultiPolygon(Polygon(((3, 3), (9, 3), (9, 9), (3, 9), (3,
3)))))
self.assertItemsEqual(trek.districts, [d1, d2])
class MultiPolygonFieldDefinitionTest(GeometryFieldDefinitionTestMixin,
BaseModelDefinitionTestCase):
field_definition_cls_name = 'MultiPolygonFieldDefinition'
field_values = (
MultiPolygon(
Polygon(((0.0, 0.0), (0.0, 50.0), (50.0, 50.0), (50.0, 0.0),
(0.0, 0.0))),
Polygon(((0.0, 0.0), (18, 50.0), (47.0, 55.0), (50.0, 0.0),
(0.0, 0.0))),
),
MultiPolygon(
Polygon(((0.0, 0.0), (0.0, 50.0), (50.0, 50.0), (50.0, 0.0),
(0.0, 0.0))),
Polygon(((0.0, 0.0), (18, 50.0), (47.0, 55.0), (50.0, 0.0),
(0.0, 0.0))),
Polygon(((0.0, 0.0), (0.0, 50.0), (50.0, 51.0), (50.0, 45),
(0.0, 0.0))),
),
)
def run(self, result=None):
if not result:
result = PlanningUnit.objects.all()
# PU Filtration occurs here
result = self.run_filters(result)
try:
dissolved_geom = result.aggregate(Union('geometry'))
if dissolved_geom:
dissolved_geom = dissolved_geom['geometry__union']
else:
raise Exception(
"No planning units available with the current filters.")
except:
raise Exception(
"No planning units available with the current filters.")
if type(dissolved_geom) == MultiPolygon:
self.geometry_dissolved = dissolved_geom
else:
try:
self.geometry_dissolved = MultiPolygon(
dissolved_geom, srid=dissolved_geom.srid)
except:
raise Exception(
"Unable to dissolve the returned planning units into a single geometry"
)
self.active = True
geom_clone = self.geometry_dissolved.clone()
geom_clone.transform(2163)
self.geometry_final_area = geom_clone.area
self.planning_units = ','.join(
str(i) for i in result.values_list('id', flat=True))
if self.planning_units:
self.satisfied = True
else:
self.satisfied = False
return True
def _geometry_collection_to_multipolygon(geometry_collection):
assert isinstance(geometry_collection, GeometryCollection)
polygons = []
for geom in geometry_collection:
if geom.dims < 2:
# Just ignore everything that has dimension 0 or 1,
# i.e. points, lines, or linestrings, multipoints, etc.
continue
polygons.extend(_to_multipolygon(geom))
return MultiPolygon(polygons, srid=geometry_collection.srid)
def setUp(self):
# Create two areas, and one areatype
# create 3 signals, 1 for area A, 1 for area B and one outside
self.area_type_district = AreaTypeFactory.create(code='district',
name='district')
min_lon, min_lat, max_lon, max_lat = BBOX
extent_lon = max_lon - min_lon
extent_lat = max_lat - min_lat
w = Polygon.from_bbox((min_lon, min_lat, min_lon + extent_lon * 0.5,
min_lat + extent_lat))
e = Polygon.from_bbox((min_lon + extent_lon * 0.5, min_lat,
min_lon + extent_lon, min_lat + extent_lat))
AreaFactory.create(name='west',
code='west',
_type=self.area_type_district,
geometry=MultiPolygon([w]))
AreaFactory.create(name='east',
code='east',
_type=self.area_type_district,
geometry=MultiPolygon([e]))
center_w = Point(
(min_lon + 0.25 * extent_lon, min_lat + 0.5 * extent_lat))
center_e = Point(
(min_lon + 0.75 * extent_lon, min_lat + 0.5 * extent_lat))
to_north = Point(
(min_lon + 0.5 * extent_lon, min_lat + 2 * extent_lat))
self.signal_west = SignalFactory.create(location__geometrie=center_w,
location__area_type_code=None,
location__area_code=None,
location__area_name=None)
self.signal_east = SignalFactory.create(location__geometrie=center_e,
location__area_type_code=None,
location__area_code=None,
location__area_name=None)
self.signal_north = SignalFactory.create(location__geometrie=to_north,
location__area_type_code=None,
location__area_code=None,
location__area_name=None)
class AreaFactory(TaggableModelFactory):
class Meta:
model = Area
name = factory.LazyFunction(lambda: fake.word())
area_type = 'school-grounds'
polygon = factory.LazyFunction(lambda: MultiPolygon(
Polygon(((87.940101, 42.023135), (87.523661, 42.023135),
(87.523661, 41.644286), (87.940101, 41.644286),
(87.940101, 42.023135)))))
def administrative_division2(administrative_division_type):
division = AdministrativeDivision.objects.create(
name_en='test division 2',
type=administrative_division_type,
ocd_id='ocd-division/test:2')
coords = ((100, 100), (100, 300), (300, 300), (300, 100), (100, 100))
AdministrativeDivisionGeometry.objects.create(division=division,
boundary=MultiPolygon(
[Polygon(coords)]))
return division
def fixup_intersection(geometry): # Interesection and simplify can give us back any sort of geometry, # but our shape columns must be MultiPolygons. Additionally, # intersection is also known to return invalid geometries. That's # unfortunate. We can test if it's valid, but there's no guaranteed # way to fix it. if geometry.geom_type == "GeometryCollection": polygons = [] for p in geometry: mp = fixup_intersection(p) if mp: polygons.extend(mp) elif geometry.geom_type == "MultiPolygon": polygons = geometry elif geometry.geom_type == "Polygon": polygons = [geometry] elif geometry.geom_type == "LinearRing": polygons = [Polygon([geometry])] else: # Other geomtries (point, line) are useless to us. return None valid_polygons = [] for p in polygons: # Check if the resulting polygon is valid. # In order to prevent GEOS_NOTICEs which clutter output, do our own # check for whether the polygon's outer ring has at least three distinct # coordinates. If not, we can skip now because it is obviously not # correctable. if len(set(p[0])) < 3: continue if not p.valid: # Use buffer() as a trick to fix polygon. # http://workshops.opengeo.org/postgis-intro/validity.html try: p = p.buffer(0.0) # raises an error sometimes if not p.valid: raise Exception() except: print "Could not fix invalid polygon." continue print "Fixed invalid polygon! Yay!", p.area # If it's really small, we don't really care about this component anyway. # We shouldn't trust the area computation on an invalid shape, so we can't # do this earlier. It's possible buffer() gives back valid zero-area shapes # even if the input was supposed to be something real, so we might be # unwittingly eliminating wants-to-be-good polygons here. if p.area < .00000000001: continue valid_polygons.append(p) if len(valid_polygons) == 0: return None return MultiPolygon(valid_polygons)
def read_ds(self, ds):
""" Return the ENVISAT specific metadata items.
"""
filename = ds.GetFileList()[0]
path, data_file = split(filename)
#assert(len(parts) >= 8)
parts = path.split("/")[-7:]
out_date = []
for i in parts[1:4]:
try:
out_date.append(int(i))
except:
out_date.append(int(i[1:]))
try:
raw_date = [
int(i[1:]) if i[0].isalpha() else int(i) for i in parts[1:4]
]
raw_time = parts[4][1:] if parts[4].startswith("T") else parts[4]
except Exception as e:
raise TypeError("Timestring in file path can't be parsed: %s" % e)
timestamp = datetime.combine(
date(*raw_date),
time(int(raw_time[:2]), int(raw_time[2:4]), int(raw_time[4:])))
timestamp = make_aware(timestamp, utc)
size = (ds.RasterXSize, ds.RasterYSize)
gt = ds.GetGeoTransform()
def gtrans(x, y):
return gt[0] + x * gt[1] + y * gt[2], gt[3] + x * gt[4] + y * gt[5]
vpix = [(0, 0), (0, size[1]), (size[0], 0), (size[0], size[1])]
vx, vy = zip(*(gtrans(x, y) for x, y in vpix))
return {
"identifier":
splitext(basename(filename))[0],
"begin_time":
timestamp,
"end_time":
timestamp,
"range_type_name":
parts[0],
"footprint":
MultiPolygon(
Polygon.from_bbox((min(vx), min(vy), max(vx), max(vy)))),
# "begin_time": parse_datetime(ds.GetMetadataItem("MPH_SENSING_START")),
# "end_time": parse_datetime(ds.GetMetadataItem("MPH_SENSING_STOP"))
}
def test_replacing(self):
command = LoadGeos()
old_geo = {
'geoid':
'1111111111',
'geo_type':
Geo.TRACT_TYPE,
'name':
'Geo in 1990',
'year':
'1990',
'state':
'11',
'county':
'111',
'tract':
'11111',
'minlat':
-1,
'maxlat':
1,
'minlon':
-1,
'maxlon':
1,
'centlat':
0,
'centlon':
0,
'geom':
MultiPolygon(Polygon(((0, 0), (0, 2), (-1, 2), (0, 0))),
Polygon(((-4, -2), (-6, -1), (-2, -2), (-4, -2))))
}
command.save_batch([old_geo])
# Geo save worked
self.assertEqual(1, Geo.objects.filter(geoid='1111111111').count())
census = Census2010Sex(total_pop=100, male=45, female=55)
census.geoid_id = '1111111111'
census.save()
# Census data worked
self.assertEqual(1, Census2010Sex.objects.all().count())
new_geo = old_geo.copy()
new_geo['name'] = 'Geo in 2000'
command.save_batch([new_geo])
# check that both models still exist
query = Geo.objects.filter(geoid='1111111111')
self.assertEqual(1, query.count())
self.assertEqual('Geo in 2000', query.get().name)
self.assertEqual(1, Census2010Sex.objects.all().count())
Geo.objects.all().delete()
Census2010Sex.objects.all().delete()
def test_path_touching_land_layer(self):
p1 = PathFactory.create(
geom=LineString((3, 3), (4, 4), srid=settings.SRID))
City.objects.create(code='005177',
name='Trifouillis-les-oies',
geom=MultiPolygon(
Polygon(
((0, 0), (2, 0), (2, 2), (0, 2), (0, 0)),
srid=settings.SRID)))
p1.geom = LineString((2, 2), (4, 4), srid=settings.SRID)
p1.save()
def get_data_bounds_polygon(self):
parsed_geojson = json.loads(self.data)
def get_polygons(obj):
polys = []
if "type" in obj:
if obj["type"] == "FeatureCollection":
for feature in obj["features"]:
extent_polys = get_polygons(feature)
polys.extend(extent_polys)
elif obj["type"] == "Feature":
# process "geometry"
geom = GEOSGeometry(json.dumps(obj["geometry"]))
# get extent_poly of geom
extent_poly = Polygon.from_bbox(geom.extent)
polys.append(extent_poly)
elif obj["type"] in ("Polygon", "LineString", "Point"):
# process "geometry"
geom = GEOSGeometry(json.dumps(obj))
# get extent_poly of geom
extent_poly = Polygon.from_bbox(geom.extent)
polys.append(extent_poly)
return polys
geojson_extent_polygons = []
if isinstance(parsed_geojson, list):
for obj in parsed_geojson:
polygons = get_polygons(obj)
geojson_extent_polygons.extend(polygons)
elif "type" in parsed_geojson and parsed_geojson["type"] in ("FeatureCollection", "Feature", "Polygon", "LineString", "Point"):
polygons = get_polygons(parsed_geojson)
geojson_extent_polygons.extend(polygons)
# process polygons into polyons extent
mploy = MultiPolygon(geojson_extent_polygons)
mploy.srid = WGS84_SRID # Expected...
mploy.transform(METERS_SRID)
poly = Polygon.from_bbox(mploy.extent)
poly.srid = METERS_SRID
return poly
def get_bounds(content, content_pois, content_areas):
""" gets map bounds. first try to get content bounds,
last will get content_pois extent """
points = [c.main_location for c in content_pois if c.has_location()]
areas = []
for c in content_areas:
if hasattr(c, 'location'):
if getattr(c.location, 'borders', None):
areas.append(c.location.borders)
elif getattr(c, 'borders', None):
areas.append(c.borders)
if points and areas:
mp = MultiPoint(points)
ap = MultiPolygon(areas)
return ap.simplify().union(mp).extent
elif len(points) > 1:
mp = MultiPoint(points)
return mp.extent
elif points:
# if we have just one point expand the borders
# to avoid to much zoom
content = content_pois[0]
elif areas:
ap = MultiPolygon(areas)
return ap.extent
elif content and content.main_location:
return (content.main_location.x - 0.002,
content.main_location.y - 0.002,
content.main_location.x + 0.002,
content.main_location.y + 0.002)
else:
# default bounding box to avoid google maps failures
return (settings.DEFAULT_LONGITUDE - 1.0,
settings.DEFAULT_LATITUDE - 1.0,
settings.DEFAULT_LONGITUDE + 1.0,
settings.DEFAULT_LATITUDE + 1.0)
def remove_sliver_polygons(geom, srid=WEB_MERCATOR_SRID, minarea_sqm=10):
"""Routine to remove sliver polygons from a multipolygon object"""
# Transform to projected coordinate system
clean_geom = geom.transform(srid, clone=True)
# Split into components
components = []
while clean_geom:
components.append(clean_geom.pop())
# Filter components by size
big_components = [x for x in components if x.area > minarea_sqm]
# If small area was found, update geom with larger components
if(len(big_components) < len(components)):
geom = MultiPolygon(big_components, srid=srid)
geom.transform(WEB_MERCATOR_SRID)
# Make sure its a proper multi polygon
geom = convert_to_multipolygon(geom)
# Return cleaned geometry
return geom
def run(self):
leaseblocks = LeaseBlock.objects.filter(prot_numb__in=self.leaseblock_ids.split(','))
leaseblock_geoms = [lb.geometry for lb in leaseblocks]
from django.contrib.gis.geos import MultiPolygon
dissolved_geom = leaseblock_geoms[0]
for geom in leaseblock_geoms:
try:
dissolved_geom = dissolved_geom.union(geom)
except:
pass
if type(dissolved_geom) == MultiPolygon:
self.geometry_actual = dissolved_geom
else:
self.geometry_actual = MultiPolygon(dissolved_geom, srid=dissolved_geom.srid)
return True
def run(self):
leaseblocks = LeaseBlock.objects.filter(prot_numb__in=self.leaseblock_ids.split(','))
if not leaseblocks.exists():
# We can't return False, because we'll get a collection without
# any lease blocks, which doesn't work on the client side.
# Throw an exception instead.
# TODO: Make the client handle the "selection didn't work" case.
# This is most likely because there are no lease blocks in the db.
raise Exception("No lease blocks available with the current selection.")
dissolved_geom = leaseblocks.aggregate(Union('geometry'))
if dissolved_geom:
dissolved_geom = dissolved_geom['geometry__union']
else:
raise Exception("No lease blocks available with the current filters.")
if type(dissolved_geom) == MultiPolygon:
self.geometry_actual = dissolved_geom
else:
self.geometry_actual = MultiPolygon(dissolved_geom, srid=dissolved_geom.srid)
return True
def _combine(geometries):
"""
Try to combine geometries with least computing power necessary.
If there are both lines and polygons, all lines are first buffered
one by one into polygons, and then added to a MultiPolygon together
with the other polygons.
If there are only polygons, they are combined in a single
multipolygon.
If there are only lines, they are combined in a single multilinestring
"""
if len(geometries) == 1:
return geometries[0]
lines = [g for g in geometries
if isinstance(g, (LineString))]
multilines = [g for g in geometries
if isinstance(g, (MultiLineString))]
polygons = [g for g in geometries
if isinstance(g, (Polygon))]
multipolygons = [g for g in geometries
if isinstance(g, (MultiPolygon))]
if polygons or multipolygons:
if lines or multilines:
# All kinds of stuff present
lines.extend([l for ml in multilines for l in ml])
print 'buffering lines'
for l in lines:
polygons.append(l.buffer(0.0001, 2))
result = MultiPolygon(polygons)
for mp in multipolygons:
result.extend(mp)
else:
# Only lines or multilines
result = MultiLineString(lines)
for ml in multilines:
result.extend(ml)
return result
class FireDepartment(RecentlyUpdatedMixin, models.Model):
"""
Models Fire Departments.
"""
DEPARTMENT_TYPE_CHOICES = [
('Volunteer', 'Volunteer'),
('Mostly Volunteer', 'Mostly Volunteer'),
('Career', 'Career'),
('Mostly Career', 'Mostly Career'),
]
REGION_CHOICES = [
('Northeast', 'Northeast'),
('West', 'West'),
('South', 'South'),
('Midwest', 'Midwest'),
(None, '')
]
POPULATION_CLASSES = [
(0, 'Population less than 2,500.'),
(1, 'Population between 2,500 and 4,999.'),
(2, 'Population between 5,000 and 9,999.'),
(3, 'Population between 10,000 and 24,999.'),
(4, 'Population between 25,000 and 49,999.'),
(5, 'Population between 50,000 and 99,999.'),
(6, 'Population between 100,000 and 249,999.'),
(7, 'Population between 250,000 and 499,999.'),
(8, 'Population between 500,000 and 999,999.'),
(9, 'Population greater than 1,000,000.'),
]
created = models.DateTimeField(auto_now=True)
modified = models.DateTimeField(auto_now=True)
fdid = models.CharField(max_length=10)
name = models.CharField(max_length=100)
headquarters_address = models.ForeignKey(Address, null=True, blank=True, related_name='firedepartment_headquarters')
mail_address = models.ForeignKey(Address, null=True, blank=True)
headquarters_phone = PhoneNumberField(null=True, blank=True)
headquarters_fax = PhoneNumberField(null=True, blank=True)
department_type = models.CharField(max_length=20, choices=DEPARTMENT_TYPE_CHOICES, null=True, blank=True)
organization_type = models.CharField(max_length=75, null=True, blank=True)
website = models.URLField(null=True, blank=True)
state = models.CharField(max_length=2)
region = models.CharField(max_length=20, choices=REGION_CHOICES, null=True, blank=True)
geom = models.MultiPolygonField(null=True, blank=True)
objects = CalculationManager()
priority_departments = PriorityDepartmentsManager()
dist_model_score = models.FloatField(null=True, blank=True, editable=False, db_index=True)
risk_model_deaths = models.FloatField(null=True, blank=True, db_index=True,
verbose_name='Predicted deaths per year.')
risk_model_injuries = models.FloatField(null=True, blank=True, db_index=True,
verbose_name='Predicted injuries per year.')
risk_model_fires = models.FloatField(null=True, blank=True, db_index=True,
verbose_name='Predicted number of fires per year.')
risk_model_fires_size0 = models.FloatField(null=True, blank=True, db_index=True,
verbose_name='Predicted number of size 0 fires.')
risk_model_fires_size0_percentage = models.FloatField(null=True, blank=True,
verbose_name='Percentage of size 0 fires.')
risk_model_fires_size1 = models.FloatField(null=True, blank=True, db_index=True,
verbose_name='Predicted number of size 1 fires.')
risk_model_fires_size1_percentage = models.FloatField(null=True, blank=True,
verbose_name='Percentage of size 1 fires.')
risk_model_fires_size2 = models.FloatField(null=True, blank=True, db_index=True,
verbose_name='Predicted number of size 2 firese.')
risk_model_fires_size2_percentage = models.FloatField(null=True, blank=True,
verbose_name='Percentage of size 2 fires.')
government_unit = RelatedObjectsDescriptor()
population = models.IntegerField(null=True, blank=True)
population_class = models.IntegerField(null=True, blank=True, choices=POPULATION_CLASSES)
featured = models.BooleanField(default=False, db_index=True)
class Meta:
ordering = ('name',)
index_together = [
['population', 'id', 'region'],
['population', 'region']
]
@property
def headquarters_geom(self):
return getattr(self.headquarters_address, 'geom', None)
@property
def predicted_fires_sum(self):
"""
Convenience method to sum
"""
if self.risk_model_fires_size0 is None and self.risk_model_fires_size1 is None \
and self.risk_model_fires_size2 is None:
return
return (self.risk_model_fires_size0 or 0) + (self.risk_model_fires_size1 or 0) + \
(self.risk_model_fires_size2 or 0)
@property
def size2_and_greater_sum(self):
"""
Convenience method to sum
"""
if self.risk_model_fires_size1 is None and self.risk_model_fires_size2 is None:
return
return (self.risk_model_fires_size1 or 0) + (self.risk_model_fires_size2 or 0)
@property
def size2_and_greater_percentile_sum(self):
"""
Convenience method to sum
"""
if self.risk_model_fires_size1_percentage is None and self.risk_model_fires_size2_percentage is None:
return
return (self.risk_model_fires_size1_percentage or 0) + (self.risk_model_fires_size2_percentage or 0)
@property
def deaths_and_injuries_sum(self):
if self.risk_model_deaths is None and self.risk_model_injuries is None:
return
return (self.risk_model_deaths or 0) + (self.risk_model_injuries or 0)
@cached_property
def population_class_stats(self):
"""
Returns summary statistics for calculation fields in the same population class.
"""
if not self.population_class:
return []
cache_key = 'population_class_{0}_stats'.format(self.population_class)
cached = cache.get(cache_key)
if cached:
return cached
fields = ['dist_model_score', 'risk_model_fires', 'risk_model_deaths_injuries_sum',
'risk_model_size1_percent_size2_percent_sum', 'residential_fires_avg_3_years']
aggs = []
for field in fields:
aggs.append(Min(field))
aggs.append(Max(field))
aggs.append(Avg(field))
results = self.population_metrics_table.objects.filter(population_class=self.population_class).aggregate(*aggs)
cache.set(cache_key, results, timeout=60 * 60 * 24)
return results
def report_card_scores(self):
if not self.population_metrics_table:
return
row = self.population_metrics_row
from .managers import Ntile
from django.db.models import When, Case, Q
qs = self.population_metrics_table.objects.filter(risk_model_fires_quartile=row.risk_model_fires_quartile)
qs = qs.annotate(**{'dist_quartile': Case(When(**{'dist_model_score__isnull': False, 'then': Ntile(4, output_field=models.IntegerField(), order_by='dist_model_score')}), output_field=models.IntegerField(), default=None)})
qs = qs.annotate(**{'size2_plus_quartile': Case(When(**{'risk_model_size1_percent_size2_percent_sum_quartile__isnull': False, 'then': Ntile(4, output_field=models.IntegerField(), order_by='risk_model_size1_percent_size2_percent_sum_quartile')}), output_field=models.IntegerField(), default=None)})
qs = qs.annotate(**{'deaths_injuries_quartile': Case(When(**{'risk_model_deaths_injuries_sum_quartile__isnull': False, 'then': Ntile(4, output_field=models.IntegerField(), order_by='risk_model_deaths_injuries_sum_quartile')}), output_field=models.IntegerField(), default=None)})
qs = qs.filter(id=self.id)
return qs
@property
def population_metrics_table(self):
"""
Returns the appropriate population metrics table for this object.
"""
try:
return get_model('firestation.PopulationClass{0}Quartile'.format(self.population_class))
except LookupError:
return None
@cached_property
def population_metrics_row(self):
"""
Returns the matching row from the population metrics table.
"""
population_table = self.population_metrics_table
if not population_table:
return
return population_table.objects.get(id=self.id)
@property
def government_unit_objects(self):
"""
Memoize the government_unit generic key lookup.
"""
if not getattr(self, '_government_unit_objects', None):
self._government_unit_objects = self.government_unit.all().generic_objects()
return self._government_unit_objects
@property
def fips(self):
objs = self.government_unit_objects
if objs:
return [obj.fips for obj in objs if hasattr(obj, 'fips')]
return []
@property
def geom_area(self):
"""
Project the department's geometry into north america lambert conformal conic
Returns km2
"""
if self.geom:
try:
return self.geom.transform(102009, clone=True).area / 1000000
except:
return
@cached_property
def nfirs_deaths_and_injuries_sum(self):
return self.nfirsstatistic_set.filter(Q(metric='civilian_casualties') | Q(metric='firefighter_casualties'),
fire_department=self,
year__gte=2010).aggregate(Avg('count'))
@cached_property
def residential_fires_3_year_avg(self):
if self.population_metrics_row:
return self.population_metrics_row.residential_fires_avg_3_years
return self.nfirsstatistic_set.filter(fire_department=self,
metric='residential_structure_fires',
year__gte=2010).aggregate(Avg('count'))
def get_population_class(self):
"""
Returns the population class of a department based on NFPA community sizes categories as an integer.
9: > 1,000,000
8: (500000, 999999)
7: (250000, 499999)
6: (100000, 249999)
5: (50000, 99999)
4: (25000, 49999)
3: (10000, 24999)
2: (5000, 9999)
1: (2500, 4999)
0: < 2500
"""
if self.population is None:
return
if self.population < 2500:
return 0
if self.population >= 1000000:
return 9
community_sizes = [
(500000, 999999),
(250000, 499999),
(100000, 249999),
(50000, 99999),
(25000, 49999),
(10000, 24999),
(5000, 9999),
(2500, 4999)]
for clazz, min_max in zip(reversed(range(1, 9)), community_sizes):
if min_max[0] <= self.population <= min_max[1]:
return clazz
@property
def similar_departments(self, ignore_regions_min=1000000):
"""
Identifies similar departments based on the protected population size and region.
"""
params = {}
if self.population >= 1000000:
params['population__gte'] = 1000000
elif self.population < 2500:
params['population__lt'] = 2500
else:
community_sizes = [
(500000, 999999),
(250000, 499999),
(100000, 249999),
(50000, 99999),
(25000, 49999),
(10000, 24999),
(5000, 9999),
(2500, 4999)]
for lower_bound, upper_bound in community_sizes:
if lower_bound <= self.population <= upper_bound:
params['population__lte'] = upper_bound
params['population__gte'] = lower_bound
similar = FireDepartment.objects.filter(**params)\
.exclude(id=self.id)\
.extra(select={'difference': "abs(population - %s)"}, select_params=[self.population])\
.extra(order_by=['difference'])
# Large departments may not have similar departments in their region.
if self.population < ignore_regions_min:
similar = similar.filter(region=self.region)
return similar
@property
def thumbnail_name(self):
return slugify(' '.join(['us', self.state, self.name])) + '.jpg'
@property
def thumbnail_name_no_marker(self):
return slugify(' '.join(['us', self.state, self.name, 'no marker'])) + '.jpg'
@property
def thumbnail(self):
return 'https://s3.amazonaws.com/firecares-static/department-thumbnails/{0}'.format(self.thumbnail_name)
@property
def thumbnail_no_marker(self):
return 'https://s3.amazonaws.com/firecares-static/department-thumbnails/{0}' \
.format(self.thumbnail_name_no_marker)
def generate_thumbnail(self, marker=True):
geom = None
if self.geom:
geom = self.geom.centroid
elif self.headquarters_address and self.headquarters_address.geom:
geom = self.headquarters_address.geom
else:
return '/static/firestation/theme/assets/images/content/property-1.jpg'
if marker and geom:
marker = 'pin-l-embassy+0074D9({geom.x},{geom.y})/'.format(geom=geom)
return 'http://api.tiles.mapbox.com/v4/garnertb.mmlochkh/{marker}' \
'{geom.x},{geom.y},8/500x300.png?access_token={access_token}'.format(marker=marker,
geom=geom,
access_token=getattr(settings, 'MAPBOX_ACCESS_TOKEN', ''))
def set_geometry_from_government_unit(self):
objs = self.government_unit_objects
if objs:
for g in [x for x in objs if getattr(x, 'geom', None)]:
self.geom = MultiPolygon(self.geom.union(g.geom))
self.save()
def set_population_from_government_unit(self):
"""
Stores the population of government units on the FD object to speed up querying.
"""
objs = self.government_unit_objects
if objs:
for gov_unit in objs:
pop = getattr(gov_unit, 'population', None)
if pop is not None:
if self.population is None:
self.population = 0
self.population += pop
else:
self.population = None
self.save()
@classmethod
def get_histogram(cls, field, bins=400):
hist = histogram(list(cls.objects.filter(**{'{0}__isnull'.format(field): False})
.values_list(field, flat=True)), bins=bins)
return json.dumps(zip(hist[1], hist[0]), separators=(',', ':'))
def set_region(self, region):
validate_choice(FireDepartment.REGION_CHOICES)(region)
self.region = region
self.save()
@cached_property
def description(self):
"""
A text description of the department used for displaying on the client side.
"""
try:
name = self.name
if not self.name.lower().endswith('department') and not self.name.lower().endswith('district'):
name += ' fire department'
return "The {name} is a {department_type} department located in the {object.region} NFPA region and headquartered in " \
"{object.headquarters_address.city}, {object.headquarters_address.state_province}."\
.format(name=name,
department_type=self.department_type.lower(),
object=self).strip()
except:
return 'No description for Fire Department'
def residential_structure_fire_counts(self):
return self.nfirsstatistic_set.filter(metric='residential_structure_fires')\
.extra(select={
'year_max': 'SELECT MAX(COUNT) FROM firestation_nfirsstatistic b WHERE b.year = firestation_nfirsstatistic.year and b.metric=firestation_nfirsstatistic.metric'
})\
.extra(select={
'year_min': 'SELECT MIN(COUNT) FROM firestation_nfirsstatistic b WHERE b.year = firestation_nfirsstatistic.year and b.metric=firestation_nfirsstatistic.metric'
})
@classmethod
def load_from_usfa_csv(cls):
"""
Loads Fire Departments from http://apps.usfa.fema.gov/census-download.
"""
us, _ = Country.objects.get_or_create(name='United States of America', iso_code='US')
with open(os.path.join(os.path.dirname(__file__), 'scripts/usfa-census-national.csv'), 'r') as csvfile:
# This only runs once, since there isn't a good key to identify duplicates
if not cls.objects.all().count():
reader = csv.DictReader(csvfile)
counter = 0
for row in reader:
# only run once.
hq_address_params = {}
hq_address_params['address_line1'] = row.get('HQ Addr1')
hq_address_params['address_line2'] = row.get('HQ Addr2')
hq_address_params['city'] = row.get('HQ City')
hq_address_params['state_province'] = row.get('HQ State')
hq_address_params['postal_code'] = row.get('HQ Zip')
hq_address_params['country'] = us
headquarters_address, _ = Address.objects.get_or_create(**hq_address_params)
headquarters_address.save()
mail_address_params = {}
mail_address_params['address_line1'] = row.get('Mail Addr1')
mail_address_params['address_line2'] = row.get('Mail Addr2') or row.get('Mail PO Box')
mail_address_params['city'] = row.get('Mail City')
mail_address_params['state_province'] = row.get('Mail State')
mail_address_params['postal_code'] = row.get('Mail Zip')
mail_address_params['country'] = us
mail_address, _ = Address.objects.get_or_create(**mail_address_params)
mail_address.save()
params = {}
params['fdid'] = row.get('FDID')
params['name'] = row.get('Fire Dept Name')
params['headquarters_phone'] = row.get('HQ Phone')
params['headquarters_fax'] = row.get('HQ Fax')
params['department_type'] = row.get('Dept Type')
params['organization_type'] = row.get('Organization Type')
params['website'] = row.get('Website')
params['headquarters_address'] = headquarters_address
params['mail_address'] = mail_address
params['state'] = row.get('HQ State')
cls.objects.create(**params)
counter += 1
assert counter == cls.objects.all().count()
@cached_property
def slug(self):
return slugify(self.name)
def get_absolute_url(self):
return reverse('firedepartment_detail_slug', kwargs=dict(pk=self.id, slug=self.slug))
def find_jurisdiction(self):
from firecares.usgs.models import CountyorEquivalent, IncorporatedPlace, UnincorporatedPlace
counties = CountyorEquivalent.objects.filter(state_name='Virginia')
for county in counties:
incorporated = IncorporatedPlace.objects.filter(geom__intersects=county.geom)
unincoporated = UnincorporatedPlace.objects.filter(geom__intersects=county.geom)
station = FireStation.objects.filter(geom__intersects=county.geom)
print 'County', county.name
print 'Incorporated Place', incorporated.count()
print 'Unincorporated Place', unincoporated.count()
print 'Stations:', station
def __unicode__(self):
return self.name
def post(self, request, *args, **kwargs):
if request.is_ajax:
cur_shp_id = kwargs['pk']
cur_shp = Shapefile.objects.get(id=cur_shp_id)
# [A] check if features for this shp already exist in helper table
if cur_shp.feature_set.count() == HelperDitchesNumber.objects \
.filter(shapefile_id=cur_shp_id) \
.count():
cur_feat = HelperDitchesNumber.objects.filter(
shapefile_id=cur_shp_id)
else:
# create helping features and fill in perimeter for each
cur_shp_geom = get_geos_geometry(cur_shp)
cur_shp_geom.set_srid(4326)
cur_shp_geom.transform(3857)
for feature in cur_shp_geom:
if feature.geom_type == 'Polygon':
feature = MultiPolygon(feature)
# get perimeter in Shapefile's projection
proj_feature = feature
proj_feature.set_srid(cur_shp_geom.srid)
proj_feature.transform(cur_shp.proj)
new_feat = HelperDitchesNumber(
poly=feature,
shapefile_id=cur_shp_id,
perimeter=proj_feature.length)
new_feat.save()
cur_shp.stat_ditch_comp = cur_shp.stat_ditch_comp = True
cur_shp.save()
cur_feat = HelperDitchesNumber.objects.filter(
shapefile_id=cur_shp_id)
# [B] check if this shapefile has custom class number defined
if cur_shp.classes:
class_num = cur_shp.classes
else:
class_num = settings.GEOSTAT_SETTINGS[
'jenk_natural_breaks_classes']
# [C] get all perimeters as list
perimeters = cur_feat.values_list('perimeter', flat=True)
perim_list = []
for x in perimeters:
perim_list.append(x)
# [D] calculate Jenks Natural Breaks, save in shapefile and features
jnb_classes_list = get_jenks_breaks(perim_list, int(class_num))
Shapefile.objects.filter(id=cur_shp_id) \
.update(jnb=jnb_classes_list)
# [E] fill in the class for each feature of the helper layer
for feature in cur_feat:
class_val = classify(feature.perimeter, jnb_classes_list)
feature.class_n = class_val
feature.save()
context = context_results(cur_shp_id)
return render_to_response(
'appgeostat/shp_detail_table.html', context)
class School(models.Model):
""" School """
name = models.CharField(max_length=200)
slug = models.SlugField(max_length=200, blank=True, null=True)
schid = models.CharField('School ID', max_length=8, blank=True, null=True, unique=True)
address = models.CharField(max_length=150, blank=True, null=True)
town_mail = models.CharField(max_length=25, blank=True, null=True)
town = models.CharField(max_length=25, blank=True, null=True)
state = models.CharField(max_length=2, blank=True, null=True)
zip = models.CharField(max_length=10, blank=True, null=True)
principal = models.CharField(max_length=50, blank=True, null=True)
phone = models.CharField(max_length=15, blank=True, null=True)
fax = models.CharField(max_length=15, blank=True, null=True)
grades = models.CharField(max_length=70, blank=True, null=True)
schl_type = models.CharField(max_length=3, blank=True, null=True)
districtid = models.ForeignKey('District', blank=True, null=True)
survey_incentive = models.TextField(blank=True, null=True)
survey_active = models.BooleanField('Is survey active?')
# GeoDjango
geometry = models.PointField(srid=26986)
shed_05 = models.MultiPolygonField(srid=26986, null=True, blank=True)
shed_10 = models.MultiPolygonField(srid=26986, null=True, blank=True)
shed_15 = models.MultiPolygonField(srid=26986, null=True, blank=True)
shed_20 = models.MultiPolygonField(srid=26986, null=True, blank=True)
objects = CustomManager()
def __unicode__(self):
return self.name
@property
def district(self):
return self.districtid
@permalink
def get_absolute_url(self):
return ('survey_school_form', None, {'school_slug': self.slug, 'district_slug': self.districtid.slug})
def get_intersections(self):
#school_circle = self.geometry.buffer(5000)
#intersections = Intersection.objects.filter(geometry__intersects=school_circle)
relation = SchoolTown.objects.get(schid=self.schid)
intersections = Intersection.objects.filter(town_id=relation.town_id)
return intersections
def update_sheds(self):
from maps import get_sheds
sheds = get_sheds(self.id)
self.shed_05 = MultiPolygon(GEOSGeometry(sheds[0.5]))
self.shed_10 = MultiPolygon(GEOSGeometry(sheds[1.0]))
self.shed_15 = MultiPolygon(GEOSGeometry(sheds[1.5]))
self.shed_20 = MultiPolygon(GEOSGeometry(sheds[2.0]))
g = self.shed_20.difference(self.shed_15)
try:
self.shed_20 = g
except TypeError:
if g.area == 0:
self.shed_20 = None
g = self.shed_15.difference(self.shed_10)
try:
self.shed_15 = g
except TypeError:
if g.area == 0:
self.shed_15 = None
g = self.shed_15.difference(self.shed_10)
try:
self.shed_15 = g
except TypeError:
if g.area == 0:
self.shed_15 = None
class Meta:
ordering = ['name']
class LeaseBlockSelection(Analysis):
leaseblock_ids = models.TextField()
description = models.TextField(null=True, blank=True)
geometry_actual = models.MultiPolygonField(srid=settings.GEOMETRY_DB_SRID,
null=True, blank=True, verbose_name="Lease Block Selection Geometry")
def serialize_attributes(self):
blocks = LeaseBlock.objects.filter(prot_numb__in=self.leaseblock_ids.split(','))
def mean(data):
return sum(data) / float(len(data))
if not blocks.exists():
return {'event': 'click',
'attributes': {'title': 'Number of blocks', 'data': 0},
'report_values': {}}
report_values = {
'wind-speed': {
'min': self.reduce(min,
[b.min_wind_speed_rev for b in blocks], digits=3, offset=-0.125),
'max': self.reduce(max,
[b.max_wind_speed_rev for b in blocks], digits=3, offset=0.125),
'avg': self.reduce(mean,
[b.avg_wind_speed for b in blocks], digits=3),
'selection_id': self.uid },
'distance-to-substation': {
'min': self.reduce(min,
[b.substation_min_distance for b in blocks], digits=0),
'max': self.reduce(max,
[b.substation_max_distance for b in blocks], digits=0),
'avg': self.reduce(mean,
[b.substation_mean_distance for b in blocks], digits=1),
'selection_id': self.uid },
'distance-to-awc': {
'min': self.reduce(min,
[b.awc_min_distance for b in blocks], digits=0),
'max': self.reduce(max,
[b.awc_max_distance for b in blocks], digits=0),
'avg': self.reduce(mean,
[b.awc_avg_distance for b in blocks], digits=1),
'selection_id': self.uid },
'distance-to-shipping': {
'min': self.reduce(min,
[b.tsz_min_distance for b in blocks], digits=0),
'max': self.reduce(max,
[b.tsz_max_distance for b in blocks], digits=0),
'avg': self.reduce(mean,
[b.tsz_mean_distance for b in blocks], digits=1),
'selection_id': self.uid },
'distance-to-shore': {
'min': self.reduce(min,
[b.min_distance for b in blocks], digits=0),
'max': self.reduce(max,
[b.max_distance for b in blocks], digits=0),
'avg': self.reduce(mean,
[b.avg_distance for b in blocks], digits=1),
'selection_id': self.uid },
'depth': {
# note: accounting for the issue in which max_depth
# is actually a lesser depth than min_depth
'min': -1 * self.reduce(max,
[b.max_distance for b in blocks], digits=0, handle_none=0),
'max': -1 * self.reduce(min,
[b.min_distance for b in blocks], digits=0, handle_none=0),
'avg': -1 * self.reduce(mean,
[b.avg_distance for b in blocks], digits=0, handle_none=0),
'selection_id': self.uid }}
attrs = (
('Average Wind Speed Range',
'%(min)s to %(max)s m/s' % report_values['wind-speed']),
('Average Wind Speed',
'%(avg)s m/s' % report_values['wind-speed']),
('Distance to Coastal Substation',
'%(min)s to %(max)s miles' % report_values['distance-to-substation']),
('Average Distance to Coastal Substation',
'%(avg)s miles' % report_values['distance-to-substation']),
('Distance to Proposed AWC Hub',
'%(min)s to %(max)s miles' % report_values['distance-to-awc']),
('Average Distance to Proposed AWC Hub',
'%(avg)s miles' % report_values['distance-to-awc']),
('Distance to Ship Routing Measures',
'%(min)s to %(max)s miles' % report_values['distance-to-shipping']),
('Average Distance to Ship Routing Measures',
'%(avg)s miles' % report_values['distance-to-shipping']),
('Distance to Shore',
'%(min)s to %(max)s miles' % report_values['distance-to-shore']),
('Average Distance to Shore',
'%(avg)s miles' % report_values['distance-to-shore']),
('Depth',
'%(min)s to %(max)s meters' % report_values['depth']),
('Average Depth',
'%(avg)s meters' % report_values['depth']),
('Number of blocks',
self.leaseblock_ids.count(',') + 1)
)
attributes = []
for t, d in attrs:
attributes.append({'title': t, 'data': d})
return {'event': 'click',
'attributes': attributes,
'report_values': report_values}
@staticmethod
def reduce(func, data, digits=None, filter_null=True, handle_none='Unknown', offset=None):
"""
self.reduce: LeaseBlock's custom reduce
why not the built-in reduce()?
handles rounding, null values, practical defaults.
Input:
func : function that aggregates data to a single value
data : list of values
Returns: a single value or a sensible default
with some presentation logic intermingled
In the case of `None` in your list,
you can either filter them out with `filter_null` (default) or
you can bail and use `handle_none`
which either raises an exception or returns a default "null" value
Rounding and offsetting by constant values are also handled
for backwards compatibility.
"""
if filter_null:
# Filter the incoming data to remove "nulls"
# remove anything that is not a number
data = [x for x in data if isinstance(x, (int, long, float, complex))]
# Deal with any remaining None values
if not data or None in data:
if isinstance(handle_none, Exception):
# We raise the exception to be handled upstream
raise handle_none
else:
# bail and return the `handle_none` object
# used for presentation or upstream logic ("Unknown", 0 or None)
return handle_none
# Rounding and offsetting
agg = func(data)
if offset:
agg = agg + offset
if isinstance(digits, int):
agg = round(agg, digits)
return agg
def run(self):
leaseblocks = LeaseBlock.objects.filter(prot_numb__in=self.leaseblock_ids.split(','))
if not leaseblocks.exists():
# We can't return False, because we'll get a collection without
# any lease blocks, which doesn't work on the client side.
# Throw an exception instead.
# TODO: Make the client handle the "selection didn't work" case.
# This is most likely because there are no lease blocks in the db.
raise Exception("No lease blocks available with the current selection.")
dissolved_geom = leaseblocks.aggregate(Union('geometry'))
if dissolved_geom:
dissolved_geom = dissolved_geom['geometry__union']
else:
raise Exception("No lease blocks available with the current filters.")
if type(dissolved_geom) == MultiPolygon:
self.geometry_actual = dissolved_geom
else:
self.geometry_actual = MultiPolygon(dissolved_geom, srid=dissolved_geom.srid)
return True
def geojson(self, srid):
props = get_properties_json(self)
props['absolute_url'] = self.get_absolute_url()
json_geom = self.geometry_actual.transform(srid, clone=True).json
return get_feature_json(json_geom, json.dumps(props))
class Options:
verbose_name = 'Lease Block Selection'
form = 'scenarios.forms.LeaseBlockSelectionForm'
form_template = 'selection/form.html'
def footprint_geom(self):
# TODO: Check if extent of footprint
e = self.geo_reference
mp = MultiPolygon(Polygon.from_bbox((e.minx, e.miny, e.maxx, e.maxy)))
mp.srid = e.srid
return mp
def map_tile(request, layer_slug, boundary_slug, tile_zoom, tile_x, tile_y, format):
if not has_imaging_library: raise Http404("Cairo is not available.")
layer = get_object_or_404(MapLayer, slug=layer_slug)
# Load basic parameters.
try:
size = int(request.GET.get('size', '256' if format not in ('json', 'jsonp') else '64'))
if size not in (64, 128, 256, 512, 1024): raise ValueError()
srs = int(request.GET.get('srs', '3857'))
except ValueError:
raise Http404("Invalid parameter.")
db_srs, out_srs = get_srs(srs)
# Get the bounding box for the tile, in the SRS of the output.
try:
tile_x = int(tile_x)
tile_y = int(tile_y)
tile_zoom = int(tile_zoom)
except ValueError:
raise Http404("Invalid parameter.")
# Guess the world size. We need to know the size of the world in
# order to locate the bounding box of any viewport at zoom levels
# greater than zero.
if "radius" not in request.GET:
p = Point( (-90.0, 0.0), srid=db_srs.srid )
p.transform(out_srs)
world_left = p[0]*2
world_top = -world_left
world_size = -p[0] * 4.0
else:
p = Point((0,0), srid=out_srs.srid )
p.transform(db_srs)
p1 = Point([p[0] + 1.0, p[1] + 1.0], srid=db_srs.srid)
p.transform(out_srs)
p1.transform(out_srs)
world_size = math.sqrt(abs(p1[0]-p[0])*abs(p1[1]-p[1])) * float(request.GET.get('radius', '50'))
world_left = p[0] - world_size/2.0
world_top = p[1] + world_size/2.0
tile_world_size = world_size / math.pow(2.0, tile_zoom)
p1 = Point( (world_left + tile_world_size*tile_x, world_top - tile_world_size*tile_y) )
p2 = Point( (world_left + tile_world_size*(tile_x+1), world_top - tile_world_size*(tile_y+1)) )
bbox = Polygon( ((p1[0], p1[1]),(p2[0], p1[1]),(p2[0], p2[1]),(p1[0], p2[1]),(p1[0], p1[1])), srid=out_srs.srid )
# A function to convert world coordinates in the output SRS into
# pixel coordinates.
blon1, blat1, blon2, blat2 = bbox.extent
bx = float(size)/(blon2-blon1)
by = float(size)/(blat2-blat1)
def viewport(coord):
# Convert the world coordinates to image coordinates according to the bounding box
# (in output SRS).
return float(coord[0] - blon1)*bx, (size-1) - float(coord[1] - blat1)*by
# Convert the bounding box to the database SRS.
db_bbox = bbox.transform(db_srs, clone=True)
# What is the width of a pixel in the database SRS? If it is smaller than
# SIMPLE_SHAPE_TOLERANCE, load the simplified geometry from the database.
shape_field = 'shape'
pixel_width = (db_bbox.extent[2]-db_bbox.extent[0]) / size / 2
if pixel_width > boundaries_settings.SIMPLE_SHAPE_TOLERANCE:
shape_field = 'simple_shape'
# Query for any boundaries that intersect the bounding box.
boundaries = Boundary.objects.filter(set=layer.boundaryset, shape__intersects=db_bbox)\
.values("id", "slug", "name", "label_point", shape_field)
if boundary_slug: boundaries = boundaries.filter(slug=boundary_slug)
boundary_id_map = dict( (b["id"], b) for b in boundaries )
if len(boundaries) == 0:
if format == "svg":
raise Http404("No boundaries here.")
elif format in ("png", "gif"):
# Send a 1x1 transparent image. Google is OK getting 404s for map tile images
# but OpenLayers isn't. Maybe cache the image?
im = cairo.ImageSurface(cairo.FORMAT_ARGB32, 1, 1)
ctx = cairo.Context(im)
buf = StringIO()
im.write_to_png(buf)
v = buf.getvalue()
if format == "gif": v = convert_png_to_gif(v)
r = HttpResponse(v, content_type='image/' + format)
r["Content-Length"] = len(v)
return r
elif format == "json":
# Send an empty "UTF-8 Grid"-like response.
return HttpResponse('{"error":"nothing-here"}', content_type="application/json")
elif format == "jsonp":
# Send an empty "UTF-8 Grid"-like response.
return HttpResponse(request.GET.get("callback", "callback") + '({"error":"nothing-here"})', content_type="text/javascript")
# Query for layer style information and then set it on the boundary objects.
styles = layer.boundaries.filter(boundary__in=boundary_id_map.keys())
for style in styles:
boundary_id_map[style.boundary_id]["style"] = style
# Create the image buffer.
if format in ('png', 'gif'):
im = cairo.ImageSurface(cairo.FORMAT_ARGB32, size, size)
elif format == 'svg':
buf = StringIO()
im = cairo.SVGSurface(buf, size, size)
elif format in ('json', 'jsonp'):
# This is going to be a "UTF-8 Grid"-like response, but we generate that
# info by first creating an actual image, with colors coded by index to
# represent which boundary covers which pixels.
im = cairo.ImageSurface(cairo.FORMAT_RGB24, size, size)
# Color helpers.
def get_rgba_component(c):
return c if isinstance(c, float) else c/255.0
def get_rgba_tuple(clr, alpha=.25):
# Colors are specified as tuples/lists with 3 (RGB) or 4 (RGBA)
# components. Components that are float values must be in the
# range 0-1, while all other values are in the range 0-255.
# Because .gif does not support partial transparency, alpha values
# are forced to 1.
return (get_rgba_component(clr[0]), get_rgba_component(clr[1]), get_rgba_component(clr[2]),
get_rgba_component(clr[3]) if len(clr) == 4 and format != 'gif' else (alpha if format != 'gif' else 1.0))
# Create the drawing surface.
ctx = cairo.Context(im)
ctx.select_font_face(maps_settings.MAP_LABEL_FONT, cairo.FONT_SLANT_NORMAL, cairo.FONT_WEIGHT_NORMAL)
if format in ('json', 'jsonp'):
# For the UTF-8 Grid response, turn off anti-aliasing since the color we draw to each pixel
# is a code for what is there.
ctx.set_antialias(cairo.ANTIALIAS_NONE)
def max_extent(shape):
a, b, c, d = shape.extent
return max(c-a, d-b)
# Transform the boundaries to output coordinates.
draw_shapes = []
for bdry in boundaries:
if not "style" in bdry: continue # Boundary had no corresponding MapLayerBoundary
shape = bdry[shape_field]
# Simplify to the detail that could be visible in the output. Although
# simplification may be a little expensive, drawing a more complex
# polygon is even worse.
try:
shape = shape.simplify(pixel_width, preserve_topology=True)
except: # GEOSException
pass # try drawing original
# Make sure the results are all MultiPolygons for consistency.
if shape.__class__.__name__ == 'Polygon':
shape = MultiPolygon((shape,), srid=db_srs.srid)
else:
# Be sure to override SRS (for Google, see above). This code may
# never execute?
shape = MultiPolygon(list(shape), srid=db_srs.srid)
# Is this shape too small to be visible?
ext_dim = max_extent(shape)
if ext_dim < pixel_width:
continue
# Convert the shape to the output SRS.
shape.transform(out_srs)
draw_shapes.append( (len(draw_shapes), bdry, shape, ext_dim) )
# Draw shading, for each linear ring of each polygon in the multipolygon.
for i, bdry, shape, ext_dim in draw_shapes:
if not bdry["style"].color and format not in ('json', 'jsonp'): continue
for polygon in shape:
for ring in polygon: # should just be one since no shape should have holes?
color = bdry["style"].color
if format in ('json', 'jsonp'):
# We're returning a "UTF-8 Grid" indicating which feature is at
# each pixel location on the grid. In order to compute the grid,
# we draw to an image surface with a distinct color for each feature.
# Then we convert the pixel data into the UTF-8 Grid format.
ctx.set_source_rgb(*[ (((i+1)/(256**exp)) % 256)/255.0 for exp in xrange(3) ])
elif isinstance(color, (tuple, list)):
# Specify a 3/4-tuple (or list) for a solid color.
ctx.set_source_rgba(*get_rgba_tuple(color))
elif isinstance(color, dict):
# Specify a dict of the form { "color1": (R,G,B), "color2": (R,G,B) } to
# create a solid fill of color1 plus smaller stripes of color2.
if color.get("color", None) != None:
ctx.set_source_rgba(*get_rgba_tuple(color["color"]))
elif color.get("color1", None) != None and color.get("color2", None) != None:
pat = cairo.LinearGradient(0.0, 0.0, size, size)
for x in xrange(0,size, 32): # divisor of the size so gradient ends at the end
pat.add_color_stop_rgba(*([float(x)/size] + list(get_rgba_tuple(color["color1"], alpha=.3))))
pat.add_color_stop_rgba(*([float(x+28)/size] + list(get_rgba_tuple(color["color1"], alpha=.3))))
pat.add_color_stop_rgba(*([float(x+28)/size] + list(get_rgba_tuple(color["color2"], alpha=.4))))
pat.add_color_stop_rgba(*([float(x+32)/size] + list(get_rgba_tuple(color["color2"], alpha=.4))))
ctx.set_source(pat)
else:
continue # skip fill
else:
continue # Unknown color data structure.
ctx.new_path()
for pt in ring.coords:
ctx.line_to(*viewport(pt))
ctx.fill()
# Draw outlines, for each linear ring of each polygon in the multipolygon.
for i, bdry, shape, ext_dim in draw_shapes:
if format in ('json', 'jsonp'): continue
if ext_dim < pixel_width * 3: continue # skip outlines if too small
color = bdry["style"].color
for polygon in shape:
for ring in polygon: # should just be one since no shape should have holes?
ctx.new_path()
for pt in ring.coords:
ctx.line_to(*viewport(pt))
if not isinstance(color, dict) or not "border" in color or not "width" in color["border"]:
if ext_dim < pixel_width * 60:
ctx.set_line_width(1)
else:
ctx.set_line_width(2.5)
else:
ctx.set_line_width(color["border"]["width"])
if not isinstance(color, dict) or not "border" in color or not "color" in color["border"]:
ctx.set_source_rgba(.3,.3,.3, .75) # grey, semi-transparent
else:
ctx.set_source_rgba(*get_rgba_tuple(color["border"]["color"], alpha=.75))
ctx.stroke_preserve()
# Draw labels.
for i, bdry, shape, ext_dim in draw_shapes:
if format in ('json', 'jsonp'): continue
if ext_dim < pixel_width * 20: continue
color = bdry["style"].color
if isinstance(color, dict) and "label" in color and color["label"] == None: continue
# Get the location of the label stored in the database, or fall back to
# GDAL routine point_on_surface to get a point quickly.
if bdry["style"].label_point:
# Override the SRS on the point (for Google, see above). Then transform
# it to world coordinates.
pt = Point(tuple(bdry["style"].label_point), srid=db_srs.srid)
pt.transform(out_srs)
elif bdry["label_point"]:
# Same transformation as above.
pt = Point(tuple(bdry["label_point"]), srid=db_srs.srid)
pt.transform(out_srs)
else:
# No label_point is specified so try to find one by using the
# point_on_surface to find a point that is in the shape and
# in the viewport's bounding box.
try:
pt = bbox.intersection(shape).point_on_surface
except:
# Don't know why this would fail. Bad geometry of some sort.
# But we really don't want to leave anything unlabeled so
# try the center of the bounding box.
pt = bbox.centroid
if not shape.contains(pt):
continue
# Transform to world coordinates and ensure it is within the bounding box.
if not bbox.contains(pt):
# If it's not in the bounding box and the shape occupies most of this
# bounding box, try moving the point to somewhere in the current tile.
try:
inters = bbox.intersection(shape)
if inters.area < bbox.area/3: continue
pt = inters.point_on_surface
except:
continue
pt = viewport(pt)
txt = bdry["name"]
if isinstance(bdry["style"].metadata, dict): txt = bdry["style"].metadata.get("label", txt)
if ext_dim > size * pixel_width:
ctx.set_font_size(18)
else:
ctx.set_font_size(12)
x_off, y_off, tw, th = ctx.text_extents(txt)[:4]
# Is it within the rough bounds of the shape and definitely the bounds of this tile?
if tw < ext_dim/pixel_width/5 and th < ext_dim/pixel_width/5 \
and pt[0]-x_off-tw/2-4 > 0 and pt[1]-th-4 > 0 and pt[0]-x_off+tw/2+7 < size and pt[1]+6 < size:
# Draw the background rectangle behind the text.
ctx.set_source_rgba(0,0,0,.55) # black, some transparency
ctx.new_path()
ctx.line_to(pt[0]-x_off-tw/2-4,pt[1]-th-4)
ctx.rel_line_to(tw+9, 0)
ctx.rel_line_to(0, +th+8)
ctx.rel_line_to(-tw-9, 0)
ctx.fill()
# Now a drop shadow (also is partially behind the first rectangle).
ctx.set_source_rgba(0,0,0,.3) # black, some transparency
ctx.new_path()
ctx.line_to(pt[0]-x_off-tw/2-4,pt[1]-th-4)
ctx.rel_line_to(tw+11, 0)
ctx.rel_line_to(0, +th+10)
ctx.rel_line_to(-tw-11, 0)
ctx.fill()
# Draw the text.
ctx.set_source_rgba(1,1,1,1) # white
ctx.move_to(pt[0]-x_off-tw/2,pt[1])
ctx.show_text(txt)
if format in ("png", "gif"):
# Convert the image buffer to raw bytes.
buf = StringIO()
im.write_to_png(buf)
v = buf.getvalue()
if format == "gif": v = convert_png_to_gif(v)
# Form the response.
r = HttpResponse(v, content_type='image/' + format)
r["Content-Length"] = len(v)
elif format == "svg":
im.finish()
v = buf.getvalue()
r = HttpResponse(v, content_type='image/svg+xml')
r["Content-Length"] = len(v)
elif format in ('json', 'jsonp'):
# Get the bytes, which are RGBA sequences.
buf1 = list(im.get_data())
# Convert the 4-byte sequences back into integers that refer back to
# the boundary list. Count the number of pixels for each shape.
shapeidx = []
shapecount = { }
for i in xrange(0, size*size):
b = ord(buf1[i*4+2])*(256**0) + ord(buf1[i*4+1])*(256**1) + ord(buf1[i*4+0])*(256**2)
shapeidx.append(b)
if b > 0: shapecount[b] = shapecount.get(b, 0) + 1
# Assign low unicode code points to the most frequently occuring pixel values,
# except always map zero to character 32.
shapecode1 = { }
shapecode2 = { }
for k, count in sorted(shapecount.items(), key = lambda kv : kv[1]):
b = len(shapecode1) + 32 + 1
if b >= 34: b += 1
if b >= 92: b += 1
shapecode1[k] = b
shapecode2[b] = draw_shapes[k-1]
buf = ''
if format == 'jsonp': buf += request.GET.get("callback", "callback") + "(\n"
buf += '{"grid":['
for row in xrange(size):
if row > 0: buf += ",\n "
buf += json.dumps(u"".join(unichr(shapecode1[k] if k != 0 else 32) for k in shapeidx[row*size:(row+1)*size]))
buf += "],\n"
buf += ' "keys":' + json.dumps([""] + [shapecode2[k][1]["slug"] for k in sorted(shapecode2)], separators=(',', ':')) + ",\n"
buf += ' "data":' + json.dumps(dict(
(shapecode2[k][1]["slug"], {
"name": shapecode2[k][1]["name"],
})
for k in sorted(shapecode2)), separators=(',', ':'))
buf += "}"
if format == 'jsonp': buf += ")"
if format == "json":
r = HttpResponse(buf, content_type='application/json')
else:
r = HttpResponse(buf, content_type='text/javascript')
return r
class LeaseBlockSelection(Analysis):
#input_a = models.IntegerField()
#input_b = models.IntegerField()
#output_sum = models.IntegerField(blank=True, null=True)
leaseblock_ids = models.TextField()
description = models.TextField(null=True, blank=True)
#leaseblocks = models.ManyToManyField("LeaseBlock", null=True, blank=True)
geometry_actual = models.MultiPolygonField(srid=settings.GEOMETRY_DB_SRID, null=True, blank=True, verbose_name="Lease Block Selection Geometry")
@property
def serialize_attributes(self):
from general.utils import format
attributes = []
report_values = {}
leaseblocks = LeaseBlock.objects.filter(prot_numb__in=self.leaseblock_ids.split(','))
if (len(leaseblocks) > 0):
#get wind speed range
try:
min_wind_speed = format(self.get_min_wind_speed(leaseblocks),3)
max_wind_speed = format(self.get_max_wind_speed(leaseblocks),3)
wind_speed_range = '%s to %s m/s' %(min_wind_speed, max_wind_speed)
except:
min_wind_speed = 'Unknown'
max_wind_speed = 'Unknown'
wind_speed_range = 'Unknown'
attributes.append({'title': 'Average Wind Speed Range', 'data': wind_speed_range})
try:
avg_wind_speed = format(self.get_avg_wind_speed(leaseblocks),3)
avg_wind_speed_output = '%s m/s' %avg_wind_speed
except:
avg_wind_speed = 'Unknown'
avg_wind_speed_output = 'Unknown'
attributes.append({'title': 'Average Wind Speed', 'data': avg_wind_speed_output})
report_values['wind-speed'] = {'min': min_wind_speed, 'max': max_wind_speed, 'avg': avg_wind_speed, 'selection_id': self.uid}
#get distance to coastal substation
min_distance_to_substation = format(self.get_min_distance_to_substation(leaseblocks), 0)
max_distance_to_substation = format(self.get_max_distance_to_substation(leaseblocks), 0)
distance_to_substation_range = '%s to %s miles' %(min_distance_to_substation, max_distance_to_substation)
attributes.append({'title': 'Distance to Coastal Substation', 'data': distance_to_substation_range})
avg_distance_to_substation = format(self.get_avg_distance_to_substation(leaseblocks), 1)
avg_distance_to_substation_output = '%s miles' %avg_distance_to_substation
attributes.append({'title': 'Average Distance to Coastal Substation', 'data': avg_distance_to_substation_output})
report_values['distance-to-substation'] = {'min': min_distance_to_substation, 'max': max_distance_to_substation, 'avg': avg_distance_to_substation, 'selection_id': self.uid}
#get distance to awc range
min_distance_to_awc = format(self.get_min_distance_to_awc(leaseblocks), 0)
max_distance_to_awc = format(self.get_max_distance_to_awc(leaseblocks), 0)
distance_to_awc_range = '%s to %s miles' %(min_distance_to_awc, max_distance_to_awc)
attributes.append({'title': 'Distance to Proposed AWC Hub', 'data': distance_to_awc_range})
avg_distance_to_awc = format(self.get_avg_distance_to_awc(leaseblocks), 1)
avg_distance_to_awc_output = '%s miles' %avg_distance_to_awc
attributes.append({'title': 'Average Distance to Proposed AWC Hub', 'data': avg_distance_to_awc_output})
report_values['distance-to-awc'] = {'min': min_distance_to_awc, 'max': max_distance_to_awc, 'avg': avg_distance_to_awc, 'selection_id': self.uid}
#get distance to shipping lanes
min_distance_to_shipping = format(self.get_min_distance_to_shipping(leaseblocks), 0)
max_distance_to_shipping = format(self.get_max_distance_to_shipping(leaseblocks), 0)
miles_to_shipping = '%s to %s miles' %(min_distance_to_shipping, max_distance_to_shipping)
attributes.append({'title': 'Distance to Shipping Lanes', 'data': miles_to_shipping})
avg_distance_to_shipping = format(self.get_avg_distance_to_shipping(leaseblocks),1)
avg_distance_to_shipping_output = '%s miles' %avg_distance_to_shipping
attributes.append({'title': 'Average Distance to Shipping Lanes', 'data': avg_distance_to_shipping_output})
report_values['distance-to-shipping'] = {'min': min_distance_to_shipping, 'max': max_distance_to_shipping, 'avg': avg_distance_to_shipping, 'selection_id': self.uid}
#get distance to shore range
min_distance = format(self.get_min_distance(leaseblocks), 0)
max_distance = format(self.get_max_distance(leaseblocks), 0)
distance_to_shore = '%s to %s miles' %(min_distance, max_distance)
attributes.append({'title': 'Distance to Shore', 'data': distance_to_shore})
avg_distance = format(self.get_avg_distance(leaseblocks),1)
avg_distance_output = '%s miles' %avg_distance
attributes.append({'title': 'Average Distance to Shore', 'data': avg_distance_output})
report_values['distance-to-shore'] = {'min': min_distance, 'max': max_distance, 'avg': avg_distance, 'selection_id': self.uid}
#get depth range
min_depth = format(self.get_min_depth(leaseblocks), 0)
max_depth = format(self.get_max_depth(leaseblocks), 0)
depth_range = '%s to %s meters' %(min_depth, max_depth)
if min_depth == 0 or max_depth == 0:
depth_range = 'Unknown'
attributes.append({'title': 'Depth', 'data': depth_range})
avg_depth = format(self.get_avg_depth(leaseblocks), 0)
avg_depth_output = '%s meters' %avg_depth
if avg_depth == 0:
avg_depth_output = 'Unknown'
attributes.append({'title': 'Average Depth', 'data': avg_depth_output})
report_values['depth'] = {'min': min_depth, 'max': max_depth, 'avg': avg_depth, 'selection_id': self.uid}
'''
if self.input_filter_ais_density:
attributes.append({'title': 'Excluding Areas with High Ship Traffic', 'data': ''})
'''
attributes.append({'title': 'Number of Leaseblocks', 'data': self.leaseblock_ids.count(',')+1})
else:
attributes.append({'title': 'Number of Leaseblocks', 'data': 0})
return { 'event': 'click', 'attributes': attributes, 'report_values': report_values }
def get_min_wind_speed(self, leaseblocks):
min_wind_speed = leaseblocks[0].min_wind_speed_rev
for lb in leaseblocks:
if lb.min_wind_speed_rev < min_wind_speed:
min_wind_speed = lb.min_wind_speed_rev
return min_wind_speed - .125
def get_max_wind_speed(self, leaseblocks):
max_wind_speed = leaseblocks[0].max_wind_speed_rev
for lb in leaseblocks:
if lb.max_wind_speed_rev > max_wind_speed:
max_wind_speed = lb.max_wind_speed_rev
return max_wind_speed + .125
def get_avg_wind_speed(self, leaseblocks):
total = 0
for lb in leaseblocks:
total += lb.min_wind_speed_rev
total += lb.max_wind_speed_rev
if total > 0:
return total / (len(leaseblocks) * 2)
else:
return 0
def get_min_distance(self, leaseblocks):
min_distance = leaseblocks[0].min_distance
for lb in leaseblocks:
if lb.min_distance < min_distance:
min_distance = lb.min_distance
return min_distance
def get_max_distance(self, leaseblocks):
max_distance = leaseblocks[0].max_distance
for lb in leaseblocks:
if lb.max_distance > max_distance:
max_distance = lb.max_distance
return max_distance
def get_avg_distance(self, leaseblocks):
total = 0
for lb in leaseblocks:
total += lb.avg_distance
if total > 0:
return total / (len(leaseblocks))
else:
return 0
# note: accounting for the issue in which min_depth is actually a greater depth than max_depth
def get_max_depth(self, leaseblocks):
min_depth = leaseblocks[0].min_depth
for lb in leaseblocks:
if lb.min_depth < min_depth:
min_depth = lb.min_depth
return -min_depth
# note: accounting for the issue in which max_depth is actually a lesser depth than min_depth
def get_min_depth(self, leaseblocks):
max_depth = leaseblocks[0].max_depth
for lb in leaseblocks:
if lb.max_depth > max_depth:
max_depth = lb.max_depth
return -max_depth
def get_avg_depth(self, leaseblocks):
total = 0
for lb in leaseblocks:
total += lb.avg_depth
if total != 0:
avg = -total / (len(leaseblocks))
return avg
else:
return 0
def get_min_distance_to_substation(self, leaseblocks):
substation_min_distance = leaseblocks[0].substation_min_distance
for lb in leaseblocks:
if lb.substation_min_distance < substation_min_distance:
substation_min_distance = lb.substation_min_distance
return substation_min_distance
def get_max_distance_to_substation(self, leaseblocks):
substation_max_distance = leaseblocks[0].substation_max_distance
for lb in leaseblocks:
if lb.substation_max_distance > substation_max_distance:
substation_max_distance = lb.substation_max_distance
return substation_max_distance
def get_avg_distance_to_substation(self, leaseblocks):
total = 0
for lb in leaseblocks:
total += lb.substation_mean_distance
if total != 0:
avg = total / len(leaseblocks)
return avg
else:
return 0
def get_min_distance_to_awc(self, leaseblocks):
awc_min_distance = leaseblocks[0].awc_min_distance
for lb in leaseblocks:
if lb.awc_min_distance < awc_min_distance:
awc_min_distance = lb.awc_min_distance
return awc_min_distance
def get_max_distance_to_awc(self, leaseblocks):
awc_max_distance = leaseblocks[0].awc_max_distance
for lb in leaseblocks:
if lb.awc_max_distance > awc_max_distance:
awc_max_distance = lb.awc_max_distance
return awc_max_distance
def get_avg_distance_to_awc(self, leaseblocks):
total = 0
for lb in leaseblocks:
total += lb.awc_avg_distance
if total != 0:
avg = total / len(leaseblocks)
return avg
else:
return 0
def get_min_distance_to_shipping(self, leaseblocks):
tsz_min_distance = leaseblocks[0].tsz_min_distance
for lb in leaseblocks:
if lb.tsz_min_distance < tsz_min_distance:
tsz_min_distance = lb.tsz_min_distance
return tsz_min_distance
def get_max_distance_to_shipping(self, leaseblocks):
tsz_max_distance = leaseblocks[0].tsz_max_distance
for lb in leaseblocks:
if lb.tsz_max_distance > tsz_max_distance:
tsz_max_distance = lb.tsz_max_distance
return tsz_max_distance
def get_avg_distance_to_shipping(self, leaseblocks):
total = 0
for lb in leaseblocks:
total += lb.tsz_mean_distance
if total != 0:
return total / len(leaseblocks)
else:
return 0
def run(self):
leaseblocks = LeaseBlock.objects.filter(prot_numb__in=self.leaseblock_ids.split(','))
leaseblock_geoms = [lb.geometry for lb in leaseblocks]
from django.contrib.gis.geos import MultiPolygon
dissolved_geom = leaseblock_geoms[0]
for geom in leaseblock_geoms:
try:
dissolved_geom = dissolved_geom.union(geom)
except:
pass
if type(dissolved_geom) == MultiPolygon:
self.geometry_actual = dissolved_geom
else:
self.geometry_actual = MultiPolygon(dissolved_geom, srid=dissolved_geom.srid)
return True
def geojson(self, srid):
props = get_properties_json(self)
props['absolute_url'] = self.get_absolute_url()
json_geom = self.geometry_actual.transform(srid, clone=True).json
return get_feature_json(json_geom, json.dumps(props))
class Options:
verbose_name = 'Lease Block Selection'
form = 'scenarios.forms.LeaseBlockSelectionForm'
form_template = 'selection/form.html'
def post(self, request, *args, **kwargs):
if request.is_ajax:
cur_shp_id = kwargs['pk']
cur_shp = Shapefile.objects.get(id=cur_shp_id)
# check if values for ditches and compounds have already been
# calculated; if not, raise a warning in the interface
if cur_shp.stat_comp_acc:
pass
else:
# iterate on all open compounds
for compound in cur_shp.helpercompoundsarea_set \
.filter(type='compound', open=True):
# get sides and relative lengths as dictionary
sides = get_side_dict(compound, 3857)
# get longest side in area polygon as a LineString
access_linestr = max(sides, key=sides.get)
# get access lenght as projected value
proj_access_linestr = access_linestr
proj_access_linestr.transform(cur_shp.proj)
# get the centroid of the access side
feature_centroid = compound.poly.centroid
# get compound's farthest point from centroid
max_point = Point(compound.poly.convex_hull.extent[2],
compound.poly.convex_hull.extent[3],
srid=3857)
radius = max_point.distance(feature_centroid)
# draw cardinal points around the compound every 45 degree,
# and rotate them by 12 degree to align perpendicularly to N
cardinal_pts = get_round_vertex(
45,
radius,
feature_centroid.x,
feature_centroid.y,
3857,
12)
# create "cake slices" using cardinal points
polygon_list = []
for i, item in enumerate(cardinal_pts):
points = (feature_centroid.coords,
item.coords,
cardinal_pts[i - 1].coords,
feature_centroid.coords)
polygon_list.append(Polygon(points, srid=3857))
sectors = MultiPolygon(polygon_list, srid=3857)
# get access side centroid
access_centroid = access_linestr.centroid
access_centroid.transform(3857)
# find sector containing the access centroid; get direction
for sector in sectors:
if sector.contains(access_centroid):
direction = sectors.index(sector)
else:
pass
# save the access LineString in a separate table
new_compound_access = HelperCompoundsAccess(
shapefile_id=cur_shp_id,
comp=compound,
poly=access_linestr,
length=proj_access_linestr.length,
orientation=direction
)
new_compound_access.save()
cur_shp.stat_comp_acc = True
cur_shp.save()
results = context_results(cur_shp_id)
return render_to_response(self.template_name, {'context': results})
def _import_division(self, muni, div, type_obj, syncher, parent_dict, feat):
#
# Geometry
#
geom = feat.geom
if not geom.srid:
geom.srid = GK25_SRID
if geom.srid != PROJECTION_SRID:
ct = CoordTransform(SpatialReference(geom.srid), SpatialReference(PROJECTION_SRID))
geom.transform(ct)
# geom = geom.geos.intersection(parent.geometry.boundary)
geom = geom.geos
if geom.geom_type == 'Polygon':
geom = MultiPolygon(geom, srid=geom.srid)
#
# Attributes
#
attr_dict = {}
lang_dict = {}
for attr, field in div['fields'].items():
if isinstance(field, dict):
# Languages
d = {}
for lang, field_name in field.items():
val = feat[field_name].as_string()
# If the name is in all caps, fix capitalization.
if not re.search('[a-z]', val):
val = val.title()
d[lang] = val.strip()
lang_dict[attr] = d
else:
val = feat[field].as_string()
attr_dict[attr] = val.strip()
origin_id = attr_dict['origin_id']
del attr_dict['origin_id']
if 'parent' in div:
if 'parent_id' in attr_dict:
parent = parent_dict[attr_dict['parent_id']]
del attr_dict['parent_id']
else:
# If no parent id is available, we determine the parent
# heuristically by choosing the one that we overlap with.
parents = []
for parent in parent_dict.values():
parent_geom = parent.geometry.boundary
if not geom.intersects(parent_geom):
continue
area = (geom - parent.geometry.boundary).area
if area > 1e-6:
continue
parents.append(parent)
parents = sorted(parents)
if not parents:
raise Exception("No parent found for %s" % origin_id)
elif len(parents) > 1:
raise Exception("Too many parents for %s" % origin_id)
parent = parents[0]
elif 'parent_ocd_id' in div:
try:
parent = AdministrativeDivision.objects.get(ocd_id=div['parent_ocd_id'])
except AdministrativeDivision.DoesNotExist:
parent = None
else:
parent = muni.division
if 'parent' in div and parent:
full_id = "%s-%s" % (parent.origin_id, origin_id)
else:
full_id = origin_id
obj = syncher.get(full_id)
if not obj:
obj = AdministrativeDivision(origin_id=origin_id, type=type_obj)
validity_time_period = div.get('validity')
if validity_time_period:
obj.start = validity_time_period.get('start')
obj.end = validity_time_period.get('end')
if obj.start:
obj.start = datetime.strptime(obj.start, '%Y-%m-%d').date()
if obj.end:
obj.end = datetime.strptime(obj.end, '%Y-%m-%d').date()
if div.get('no_parent_division', False):
muni = None
obj.parent = parent
obj.municipality = muni
for attr in attr_dict.keys():
setattr(obj, attr, attr_dict[attr])
for attr in lang_dict.keys():
for lang, val in lang_dict[attr].items():
obj.set_current_language(lang)
setattr(obj, attr, val)
if 'ocd_id' in div:
assert (parent and parent.ocd_id) or 'parent_ocd_id' in div
if parent:
if div.get('parent_in_ocd_id', False):
args = {'parent': parent.ocd_id}
else:
args = {'parent': muni.division.ocd_id}
else:
args = {'parent': div['parent_ocd_id']}
val = attr_dict['ocd_id']
args[div['ocd_id']] = val
obj.ocd_id = ocd.make_id(**args)
self.logger.debug("%s" % obj.ocd_id)
obj.save()
syncher.mark(obj)
try:
geom_obj = obj.geometry
except AdministrativeDivisionGeometry.DoesNotExist:
geom_obj = AdministrativeDivisionGeometry(division=obj)
geom_obj.boundary = geom
geom_obj.save()
