def get_context_data(self, *args, **kwargs):
context = super().get_context_data(*args, **kwargs)
context.update(self.get_queryset().aggregate(
count=Count('spatial_id', distinct=True),
coordinates=ArrayAgg(AsGeoJSON(Centroid('footprint'))),
instrumentation_count=Count(
'instrumentation',
distinct=True,
filter=Q(instrumentation__isnull=False),
),
acquisition_date__min=Min(
'acquisition_date', filter=Q(acquisition_date__isnull=False)),
acquisition_date__max=Max(
'acquisition_date', filter=Q(acquisition_date__isnull=False)),
extents=Extent('outline'),
))
context['coordinates'] = '[' + ','.join(context['coordinates']) + ']'
extents = context['extents'] or [None] * 4
context['extents'] = json.dumps({
'xmin': extents[0],
'ymin': extents[1],
'xmax': extents[2],
'ymax': extents[3],
})
return context
def test_geojson(self):
"""
Test GeoJSON() function with Z values.
"""
self._load_city_data()
h = City3D.objects.annotate(geojson=AsGeoJSON('point', precision=6)).get(name='Houston')
# GeoJSON should be 3D
# `SELECT ST_AsGeoJSON(point, 6) FROM geo3d_city3d WHERE name='Houston';`
ref_json_regex = re.compile(r'^{"type":"Point","coordinates":\[-95.363151,29.763374,18(\.0+)?\]}$')
self.assertTrue(ref_json_regex.match(h.geojson))
def handle(self, *args, **options):
states = State.objects.all().annotate(
centroid=AsGeoJSON(Centroid('geometry')),
)
for state in states:
center_data = json.loads(state.centroid)
lng = center_data['coordinates'][0]
lat = center_data['coordinates'][1]
state.center_lng = lng
state.center_lat = lat
state.save()
def select_aoj_request(request):
aoj_code = json.loads(request.GET["code"])
tr_c2 = os.path.abspath(
os.path.join(os.path.dirname(transformer_model.__file__), 'data',
'DS_Transformer_C2_Pro.shp'))
aoj = Aoj_C2.objects.all().filter(code=aoj_code)
aoj_poly = aoj[0].geom
print(type(aoj_poly))
tr = Transformer_C2.objects.all().filter(geom__within=aoj_poly)
print(len(tr))
qs = Aoj_C2.objects.all().filter(code=aoj_code).annotate(
cent=AsGeoJSON(Centroid('geom')))
for i in qs.values():
print(json.loads(i.get("cent")).get("coordinates"))
centroid_aoj = json.loads(i.get("cent")).get("coordinates")
res = serialize(
'geojson',
Aoj_C2.objects.all().filter(code=aoj_code),
fields=('geom', ),
)
result = []
result_dict = {}
for i in tr:
# point_tr.append(i.geom.geojson)
# pea_no.append(i.facilityid)
# print(type(i.geom.json))
json_obj = json.loads(i.geom.json)
result_dict.update({
"peano": i.facilityid,
"ratekva": i.ratekva,
"gistag": i.tag,
"feederID": i.feederid,
"phase": i.phasedesig,
"name": i.name,
"flag": i.flag,
"impact": i.impact,
"baseload": i.loadProfile_base,
"evload": i.loadProfile_ev,
"coordinate": json_obj["coordinates"]
})
result.append(result_dict)
result_dict = {}
print(result)
return JsonResponse({"data": res, "coordinate_cent" : centroid_aoj, \
"point": json.dumps(result)})
def select_aoj_request(request): # function for select by location and send data to map
aoj_code = json.loads(request.GET["code"]) # get AOJ code from html
aoj = Aoj_C2.objects.all().filter(code=aoj_code) # AOJ queryset from Models
aoj_poly = aoj[0].geom # aoj_poly is Geometry Dataset
tr = Transformer_C2.objects.all().filter(geom__within = aoj_poly) # Transformer in AOJ Polygon
# built AOJ GeoJSON object and add centroid in fields cent.
qs = Aoj_C2.objects.all().filter(code=aoj_code).annotate(cent=AsGeoJSON(Centroid('geom')))
for i in qs.values():
print(json.loads(i.get("cent")).get("coordinates"))
centroid_aoj = json.loads(i.get("cent")).get("coordinates")
res = serialize( # pack GeoJSON in res variable.
'geojson',
Aoj_C2.objects.all().filter(code=aoj_code),
fields=('geom', ),
)
tr_geojson = serialize(
'geojson',
Transformer_C2.objects.all().filter(geom__within = aoj_poly),
fields=('geom', ),
)
result = []
result_dict = {}
for i in tr :
json_obj = json.loads(i.geom.json)
# Edit JSON Schema if you want addition more fields.
result_dict.update({"peano": i.facilityid, "ratekva": i.ratekva,
"gistag" : i.tag, "feederID": i.feederid, "phase" : i.phasedesig,
"name" : i.name, "flag" : i.flag,
"impact" : i.impact, "baseload" : i.loadProfile_base,
"numberOfCustomer" : i.numberOfCustomer,
"evload" : i.loadProfile_ev, "coordinate": json_obj["coordinates"]})
result.append(result_dict)
result_dict = {}
# data = json.loads(tr_geojson)
# with open("./transformer_geojson.json", 'w') as f:
# json.dump(data, f)
return JsonResponse({
"data": res, \
"coordinate_cent" : centroid_aoj, \
"point": json.dumps(result)
})
def checkgeometries():
"""
Check to see if any geometries corrupted
"""
allgeometries = Geometry.objects.all().annotate(
json=AsGeoJSON('geometry')).values('name', 'code', 'zoom', 'type',
'json').order_by(
'code', 'type', 'zoom')
for geometry in allgeometries:
print("Checking geometry", geometry['code'], geometry['type'],
geometry['zoom'])
json_data = json.dumps(list(geometry), cls=DjangoJSONEncoder)
def get_country_centroid_as_geojson(name):
"""
Gets a country centroid as GeoJSON
hint: nested geofunction calls
"""
if (name[0].islower()):
name = get_capitalized_country_name(name)
try:
country = Country.objects.annotate(
json=AsGeoJSON(Centroid('mpoly'))).get(name=name).json
return (country)
except Country.DoesNotExist as error:
raise Country.DoesNotExist(error)
def get_country_border_as_geojson(name):
"""
Gets a country name and returns its corresponding
GeoJSON object
"""
if (name[0].islower()):
name = get_capitalized_country_name(name)
try:
country = Country.objects.annotate(json=AsGeoJSON('mpoly')).get(
name=name).json
return (country)
except Country.DoesNotExist as error:
raise Country.DoesNotExist(error)
def decorate_queryset(self, feature_type: FeatureType, queryset,
output_crs, **params):
"""Update the queryset to let the database render the GML output.
This is far more efficient then GeoDjango's logic, which performs a
C-API call for every single coordinate of a geometry.
"""
queryset = super().decorate_queryset(feature_type, queryset,
output_crs, **params)
# If desired, the entire FeatureCollection could be rendered
# in PostgreSQL as well: https://postgis.net/docs/ST_AsGeoJSON.html
match = feature_type.resolve_element(feature_type.geometry_field_name)
return queryset.defer(feature_type.geometry_field_name).annotate(
_as_db_geojson=AsGeoJSON(get_db_geometry_target(match, output_crs),
precision=16))
def Geometries(request):
"""
Get all geometries within boundary box for particular zoom level
"""
data = json.loads(request.body)
geometrytype, zoom, xmin, ymin, xmax, ymax = data['geometrytype'], data[
'zoom'], data['xmin'], data['ymin'], data['xmax'], data['ymax']
type = geometrytypecode[int(geometrytype) - 1]
# print(type, zoom, xmin, ymin, xmax, ymax)
bbox = (xmin, ymin, xmax, ymax)
geometry = Polygon.from_bbox(bbox)
allfeatures = Geometry.objects.filter(
zoom=zoom, type=type, geometry__bboverlaps=geometry).annotate(
json=AsGeoJSON('geometry')).values('name', 'code', 'type', 'json')
json_data = json.dumps(list(allfeatures), cls=DjangoJSONEncoder)
return HttpResponse(json_data, content_type="text/json")
def space_centroid(request, space_id):
space_qs = BuildingFloorSpace.objects.filter(pk=space_id)
if space_qs:
att = space_qs.values()[0]
if att['multi_poly']:
att['multi_poly'] = None
centroid_res = BuildingFloorSpace.objects.annotate(
json=AsGeoJSON(Centroid('multi_poly'))).get(pk=space_id).json
res = Feature(geometry=json.loads(centroid_res), properties=att)
return Response(res)
else:
return Response({
'error':
'Sorry we did not find any record in our database matching your id = '
+ str(space_id)
})
def index(request):
isim = "django"
__states = State.objects.annotate(json=AsGeoJSON('geometry')).get(name="test").json
return render(request, "index.html", locals())
def get_queryset(self):
return super().get_queryset().annotate(_area=Area('geometry'), _geoJSON=AsGeoJSON('geometry'))
def getfeature(request, service, wfs_version):
context = {}
propertyname = None
featureversion = None
maxfeatures = None
typename = None
featureid = None
filtr = None
bbox = None
bbox_has_crs = False
outputFormat = None
resolution = None
# A fallback value, if no features can be found
crs = WGS84_CRS
for key, value in request.GET.items():
low_key = key.lower()
low_value = value.lower()
if low_key == "propertyname":
propertyname = low_value
elif low_key == "featureversion":
featureversion = low_value
elif low_key == "maxfeatures":
try:
maxfeatures = int(low_value)
except:
return wfs_exception(request, "InvalidParameterValue",
"maxfeatures", value)
else:
if maxfeatures < 1:
return wfs_exception(request, "InvalidParameterValue",
"maxfeatures", value)
elif low_key == "typename":
typename = low_value
elif low_key == "featureid":
featureid = low_value
elif low_key == "filter":
filtr = low_value
elif low_key == "resolution":
try:
resolution = float(low_value)
except:
return wfs_exception(request, "InvalidParameterValue",
"resolution", value)
elif low_key == "bbox":
#
# See the following URL for all the gory details on the passed in bounding box:
#
# http://augusttown.blogspot.co.at/2010/08/mysterious-bbox-parameter-in-web.html
bbox_values = low_value.split(",")
if len(bbox_values) != 4 and (wfs_version == "1.0.0"
or len(bbox_values) != 5):
return wfs_exception(request, "InvalidParameterValue", "bbox",
value)
try:
bbox_has_crs = len(bbox_values) == 5
bbox_crs = CRS(bbox_values[4]) if bbox_has_crs else crs
if bbox_crs.crsid == "CRS84":
# we and GeoDjango operate in longitude/latitude mode, so ban CRS84
bbox = Polygon.from_bbox(
(float(bbox_values[1]), float(bbox_values[0]),
float(bbox_values[3]), float(bbox_values[2])))
bbox_crs = WGS84_CRS
else:
bbox = Polygon.from_bbox(
(float(bbox_values[0]), float(bbox_values[1]),
float(bbox_values[2]), float(bbox_values[3])))
bbox.set_srid(bbox_crs.srid)
except:
return wfs_exception(request, "InvalidParameterValue",
"maxfeatures", value)
elif low_key == "srsname":
try:
crs = CRS(low_value)
if crs.crsid == "CRS84":
# we and GeoDjango operate in longitude/latitude mode, so ban CRS84
crs = WGS84_CRS
except:
return wfs_exception(request, "InvalidParameterValue",
"maxfeatures", value)
# This is for the case, that srsname is hit after the bbox parameter above
if bbox and not bbox_has_crs:
bbox.set_srid(crs.srid)
elif low_key == "filter":
filtr = low_value
elif low_key == "outputformat":
if low_value in ALL_JSON_OUTPUT_FORMATS:
outputFormat = JSON_OUTPUT_FORMAT
elif low_value in ALL_XML_OUTPUT_FORMATS:
outputFormat = XML_OUTPUT_FORMAT
else:
return wfs_exception(request, "InvalidParameterValue",
"outputformat", value)
if propertyname is not None:
raise NotImplementedError
if featureversion is not None:
raise NotImplementedError
if filtr is not None:
raise NotImplementedError
result_bbox = None
# If FeatureID is present we return every feature on the list of ID's
if featureid is not None:
feature_list = []
# we assume every feature is identified by its Featuretype name + its object ID like "name.id"
for feature in featureid.split(","):
try:
ftname, fid = get_feature_from_parameter(feature)
except ValueError:
return wfs_exception(request, "InvalidParameterValue",
"featureid", feature)
try:
ft = service.featuretype_set.get(name=ftname)
ft_crs = CRS(ft.srs)
try:
geom_field = ft.find_first_geometry_field()
if geom_field is None:
return wfs_exception(request, "NoGeometryField",
"feature")
flter = json.loads(ft.query)
objs = ft.model.model_class().objects
if bbox:
bbox_args = {geom_field + "__bboverlaps": bbox}
objs = objs.filter(**bbox_args)
if crs.srid != ft_crs.srid:
objs = objs.annotate(
xform=Transform(geom_field, crs.srid))
geom_field = "xform"
if outputFormat == JSON_OUTPUT_FORMAT:
objs = objs.annotate(geojson=AsGeoJSON(geom_field))
else:
objs = objs.annotate(gml=AsGML(geom_field))
if flter:
objs = objs.filter(**flter)
f = objs.filter(id=fid)
bb_res = f.aggregate(Extent(geom_field))[geom_field +
'__extent']
if log.getEffectiveLevel() <= logging.DEBUG:
log.debug("Bounding box for feature [%s] is [%s]" %
(feature, bb_res))
if result_bbox is None:
result_bbox = bb_res
else:
result_bbox = (min(result_bbox[0], bb_res[0]),
min(result_bbox[1], bb_res[1]),
max(result_bbox[2], bb_res[2]),
max(result_bbox[3], bb_res[3]))
feature_list.append((ft, f[0]))
except:
log.exception("caught exception in request [%s %s?%s]",
request.method, request.path,
request.environ['QUERY_STRING'])
return wfs_exception(request, "MalformedJSONQuery",
"query")
except FeatureType.DoesNotExist:
return wfs_exception(request, "InvalidParameterValue",
"featureid", feature)
# If FeatureID isn't present we rely on TypeName and return every feature present it the requested FeatureTypes
elif typename is not None:
feature_list = type_feature_iter()
for typen in typename.split(","):
try:
ft = service.featuretype_set.get(name__iexact=typen)
ft_crs = CRS(ft.srs)
except FeatureType.DoesNotExist:
return wfs_exception(request, "InvalidParameterValue",
"typename", typen)
try:
geom_field = ft.find_first_geometry_field()
if geom_field is None:
return wfs_exception(request, "NoGeometryField", "feature")
flter = json.loads(ft.query)
objs = ft.model.model_class().objects
if bbox:
bbox_args = {geom_field + "__bboverlaps": bbox}
objs = objs.filter(**bbox_args)
if crs.srid != ft_crs.srid:
objs = objs.annotate(xform=Transform(geom_field, crs.srid))
geom_field = "xform"
if outputFormat == JSON_OUTPUT_FORMAT:
objs = objs.annotate(geojson=AsGeoJSON(geom_field))
else:
objs = objs.annotate(gml=AsGML(geom_field))
if flter:
objs = objs.filter(**flter)
if resolution is not None:
res_flter = ft.resolutionfilter_set.filter(
min_resolution__lte=resolution).order_by(
"-min_resolution").first()
if res_flter:
log.debug(
"Applying extra filter [%s] with condition [%s] for resolution [%f]"
% (res_flter, res_flter.query, resolution))
res_flter_parsed = json.loads(res_flter.query)
objs = objs.filter(**res_flter_parsed)
bb_res = objs.aggregate(Extent(geom_field))[geom_field +
'__extent']
if log.getEffectiveLevel() <= logging.DEBUG:
log.debug("Bounding box for feature type [%s] is [%s]" %
(typen, bb_res))
if result_bbox is None:
result_bbox = bb_res
else:
result_bbox = (min(result_bbox[0], bb_res[0]),
min(result_bbox[1], bb_res[1]),
max(result_bbox[2], bb_res[2]),
max(result_bbox[3], bb_res[3]))
feature_list.add_type_with_features(ft, objs)
except:
log.exception("caught exception in request [%s %s?%s]",
request.method, request.path,
request.environ['QUERY_STRING'])
return wfs_exception(request, "MalformedJSONQuery", "query")
else:
return wfs_exception(request, "MissingParameter", "typename")
if outputFormat == JSON_OUTPUT_FORMAT:
return StreamingHttpResponse(streaming_content=GeoJsonIterator(
service.id, crs, result_bbox, feature_list),
content_type="application/json")
else:
context['features'] = feature_list
if result_bbox:
context['bbox0'] = result_bbox[0]
context['bbox1'] = result_bbox[1]
context['bbox2'] = result_bbox[2]
context['bbox3'] = result_bbox[3]
context['crs'] = crs
context['version'] = wfs_version
context[
'wfs_path'] = "1.0.0/WFS-basic.xsd" if wfs_version == "1.0.0" else "1.1.0/wfs.xsd"
return render(request,
'getFeature.xml',
context,
content_type="text/xml")
def get_queryset(self):
'''
kwarg: zipcode
query_params:
- med_id: MedicationName id
- formulations: list of Medication ids
- provider_type: list of ProviderType ids
- provider_category: list of ProviderCategory ids
- drug_type: list of 1 character str, for drug_type in Medication
- state_id: int of a state obj, used when more than one zipcode
'''
med_id = self.request.query_params.get('med_id')
state_id = self.request.query_params.get('state_id')
provider_category_filters = self.request.query_params.getlist(
'provider_categories[]', [])
provider_type_filters = self.request.query_params.getlist(
'provider_types[]', [])
user = self.request.user
zipcode = self.kwargs.get('zipcode')
# check permission
state_id, zipcode = force_user_state_id_and_zipcode(
user, state_id, zipcode)
try:
int(med_id)
except (ValueError, TypeError):
return ZipCode.objects.filter(zipcode=zipcode).annotate(
centroid=AsGeoJSON(Centroid('geometry')), )
provider_medication_ids = get_provider_medication_id(
self.request.query_params, )
if state_id:
zipcode_qs = ZipCode.objects.filter(
zipcode=zipcode,
state=state_id,
)
else:
zipcode_qs = ZipCode.objects.filter(zipcode=zipcode)
zipcode_qs = zipcode_qs.annotate(
active_provider_count=Count(
'providers__id',
filter=Q(providers__active=True,
providers__category__id__isnull=False,
providers__type__id__isnull=False,
providers__provider_medication__id__in=
provider_medication_ids),
distinct=True),
total_provider_count=Count('providers__id', distinct=True),
medication_levels=ArrayAgg(
'providers__provider_medication__level',
filter=Q(providers__provider_medication__id__in=
provider_medication_ids # noqa
)),
centroid=AsGeoJSON(Centroid('geometry')),
)
return zipcode_qs