def getClusterContent(request, zoom, gridSize):
clusterer = MapClusterer(request, zoom, gridSize)
entries = clusterer.getClusterContent()
return render(request, 'anycluster/clusterPopup.html', {'entries':entries})
def getGrid(request, zoom, gridSize=256):
clusterer = MapClusterer(zoom, gridSize)
grid = clusterer.gridCluster(request)
return HttpResponse(json.dumps(grid), content_type="application/json")
def getPins(request, zoom, gridSize, gt_filter=0):
clusterer = MapClusterer(zoom, gridSize)
gt_filter = long(gt_filter)
markers = clusterer.kmeansCluster(request, filter_gt_count=gt_filter)
return HttpResponse(json.dumps(markers), content_type="application/json")
def loadAreaContent(request, zoom, gridSize):
clusterer = MapClusterer(zoom, gridSize)
params = clusterer.loadJson(request)
filterstring = clusterer.constructFilterstring(params["filters"])
geojson = params["geojson"]
markers = []
if geojson["type"] == "Feature":
features = [params["geojson"]]
elif geojson["type"] == "FeatureCollection":
features = geojson["features"]
for feature in features:
geometry = GEOSGeometry(json.dumps(feature["geometry"]), srid=clusterer.input_srid)
geometry.transform(clusterer.srid_db)
markers_qry = Gis.objects.raw(
'''SELECT * FROM "%s" WHERE ST_Intersects(%s, ST_GeomFromText('%s',%s) ) %s;''' % (geo_table, geo_column_str, geometry, clusterer.srid_db, filterstring)
)
markers += list(markers_qry)
return markers
def getAreaContent(request, zoom, gridSize):
clusterer = MapClusterer(request, zoom, gridSize)
entries = clusterer.getAreaContent()
return render(request, 'anycluster/clusterPopup.html',
{'entries': entries})
def getPins(request, zoom, gridSize):
clusterer = MapClusterer(request, zoom, gridSize)
markers = clusterer.kmeansCluster()
return HttpResponse(json.dumps(markers), content_type="application/json")
def getCentroids(request, zoom, gridSize):
clusterer = MapClusterer(zoom, gridSize)
markers = clusterer.centroidCluster(request)
return HttpResponse(json.dumps(
markers
), content_type="application/json")
def getPins(request, zoom, gridSize):
clusterer = MapClusterer(request, zoom, gridSize)
markers = clusterer.kmeansCluster()
return HttpResponse(json.dumps(
markers
), content_type="application/json")
def getGrid(request, zoom, gridSize=256):
clusterer = MapClusterer(request, zoom, gridSize)
grid = clusterer.gridCluster()
return HttpResponse(json.dumps(
grid
), content_type="application/json")
def getKmeansClusterEntries(request, zoom, gridSize=512):
clusterer = MapClusterer(zoom, gridSize)
filters = clusterer.parseFilters(request)
clusterIDs = request.GET.getlist("id", [])
x = float(request.GET["x"])
y = float(request.GET["y"])
entries = clusterer.getKmeansClusterContent(x, y, clusterIDs, filters)
return entries
def loadAreaContent(request, zoom=1, gridSize=256):
clusterer = MapClusterer(zoom, gridSize)
params = clusterer.loadJson(request)
filterstring = clusterer.constructFilterstring(params["filters"])
geojson = params.get("geojson", None)
geomfilterstring = clusterer.getGeomFilterstring(request, geojson)
markers_qryset = Gis.objects.raw(
'''SELECT * FROM "%s" WHERE %s %s;''' %
(geo_table, geomfilterstring, filterstring))
return markers_qryset
def loadAreaContent(request, zoom=1, gridSize=256):
clusterer = MapClusterer(zoom, gridSize)
params = clusterer.loadJson(request)
filterstring = clusterer.constructFilterstring(params["filters"])
geojson = params.get("geojson", None)
geomfilterstring = clusterer.getGeomFilterstring(geojson)
markers_qryset = Gis.objects.raw(
'''SELECT * FROM "%s" WHERE %s %s;''' % (geo_table, geomfilterstring, filterstring)
)
return markers_qryset
def get_clusterer(self, request, zoom, grid_size, **kwargs):
clusterer = MapClusterer(request, zoom, grid_size)
return clusterer
def get_clusterer(self, request, zoom, grid_size, **kwargs):
init_kwargs = get_init_kwargs(request)
clusterer = MapClusterer(request, zoom, grid_size, **init_kwargs)
return clusterer