def test_encoding(self):
for td in self.testdata:
codelength = len(td['code']) - 1
if '0' in td['code']:
codelength = td['code'].index('0')
self.assertEqual(td['code'],
olc.encode(td['lat'], td['lng'], codelength), td)
def get_objects_nearby(req):
table = boto3.resource('dynamodb').Table('OpenCity')
lat, lon = float(req['lat']), float(req['lon'])
res = []
for length in [12, 11, 10, 8]:
pc = encode(lat, lon, length)
grid = "OSM:" + pc
items = table.query(
KeyConditionExpression=Key('grid').eq(grid),
ProjectionExpression='lat, lon, tags,ubid'
)
nearby = []
for item in items['Items']:
if 'tags' in item and 'lat' in item and 'lon' in item:
tags = item['tags']
if 'name' in tags or 'amenity' in tags:
dist = distance(lat, lon, item['lat'], item['lon'])
tags['distance'] = dist
tags['lat'] = float(item['lat'])
tags['lon'] = float(item['lon'])
tags['ubid'] = item['ubid']
nearby.append(tags)
if len(res) > 0:
break
nearby = sorted(nearby, key=lambda x: x['distance'])
return response(200, json.dumps(nearby))
def test_benchmark(self):
start_micros = round(time.time() * 1e6)
for td in self.testdata:
olc.encode(td[0], td[1], td[2])
duration_micros = round(time.time() * 1e6) - start_micros
print('Encoding benchmark: %d passes, %d usec total, %.03f usec each' %
(len(self.testdata), duration_micros,
duration_micros / len(self.testdata)))
start_micros = round(time.time() * 1e6)
for td in self.testdata:
olc.decode(td[3])
duration_micros = round(time.time() * 1e6) - start_micros
print('Decoding benchmark: %d passes, %d usec total, %.03f usec each' %
(len(self.testdata), duration_micros,
duration_micros / len(self.testdata)))
def test_encoding(self):
for td in self.testdata:
codelength = len(td['code']) - 1
if '0' in td['code']:
codelength = td['code'].index('0')
self.assertEqual(td['code'],
olc.encode(td['lat'], td['lng'], codelength), td)
def setUp(self):
self.testdata = []
for i in range(0, 100000):
dec = random.randint(0, 15)
lat = round(random.uniform(1, 180) - 90, dec)
lng = round(random.uniform(1, 360) - 180, dec)
length = random.randint(2, 15)
if length % 2 == 1:
length = length + 1
self.testdata.append(
[lat, lng, length,
olc.encode(lat, lng, length)])
def address_details():
try:
ret = {}
res_address = request.args.get("address")
found_address = MongoAddress.objects(st_city="EL CAMPO", ad_name_full=res_address).first()
if found_address:
for location in found_address.locations:
if "E911" == location.source:
list_coords = location.coords["coordinates"]
ret = dict()
ret["E911"] = [{"EPSG": "2278"}, {"X": list_coords[0][0]},
{"Y": list_coords[0][1]},
{"PLUS CODE": openlocationcode.encode(
list_coords[1][1], list_coords[1][0])}], \
[{"EPSG": "4326"},
{"X": list_coords[1][0]},
{"Y": list_coords[1][1]},
{"PLUS CODE": openlocationcode.encode(
list_coords[1][1], list_coords[1][0])}]
return jsonify(ret)
except Exception as e:
return (str(e))
def lambda_handler(event, context):
table = dynamodb.Table('OpenCity')
with table.batch_writer() as batch:
items = dict()
for record in event['Records']:
payload = base64.b64decode(record['kinesis']['data'])
#print(payload)
obj = json.loads(payload.decode("utf-8"))
obj['ubid'] = str(obj['hash'])
for field in ['nds', 'members', 'tags']:
if field in obj:
obj[field] = json.loads(obj[field])
if len(obj[field]) == 0:
del obj[field]
for length in [8, 10, 11, 12]:
grid = encode(obj['lat'], obj['lon'], length)
obj['grid'] = "OSM:" + grid
ca = decode(grid)
lat, lon = ca.latitudeCenter, ca.longitudeCenter
obj['distance'] = distance(lat, lon, obj['lat'], obj['lon'])
o = json.loads(json.dumps(obj))
for field in ['distance', 'lon', 'lat']:
o[field] = Decimal(str(o[field]))
items[o['grid'] + o['hash']] = o
for item in items.values():
for k in list(item.keys()):
if item[k] == '':
del item[k]
try:
batch.put_item(Item=item)
except Exception as e:
print("Unable to process item '%s'" % item)
raise e
print("Processed %d, %d distinct items" %
(len(event['Records']), len(items)))
# print("Decoded payload: " + obj)
return {'statusCode': 200, 'body': json.dumps('Hello from Lambda!')}
def test_maxdigits_encoding(self):
for codelength in [15, 16, 17, 100000]:
code = olc.encode(37.539669125, -122.375069125, codelength)
self.assertEqual(code, "849VGJQF+VX7QR4M")
arcpy.AddField_management(to_fc, "cad_url", "TEXT", "", "", "100",
"CAD URL", "NULLABLE", "NON_REQUIRED")
fields = ["prop_id", "plus_code", "cad_url", "SHAPE@XY"]
with arcpy.UpdateCursor(to_fc, fields) as cursor:
for row in cursor:
if row[0] is None:
continue
prop_id = int(row[0])
cad_url = f"http://search.wharton.manatron.com/details.php?DB_account=R0{str(prop_id)}&account=R0{str(prop_id)}"
row[2] = cad_url
# check for valid x,y tuple
if row[3] is None or row[3][0] is None or row[3][1] is None:
continue
x, y = row[3]
# convert from State Plane to lat/lng
x, y = transform(proj_2278, proj_4326, x, y)
plus_code = openlocationcode.encode(y, x)
row[1] = plus_code
cursor.updateRow(row)
arcpy.RegisterAsVersioned_management(ds, "EDITS_TO_BASE")
ec_arcpy_util.dbCompress(arcpy.env.workspace)
logging.info("Successful completion")
except Exception as e:
logging.error(f"{inspect.stack()[0][3]} {e}")
list_area.append(round(d['building_area']/d['pisos']*cantidad_pisos))
else:
list_pisos.append(d['pisos'])
list_area.append(d['building_area'])
lat = geocode_result[0]['geometry']['location']['lat']
lng = geocode_result[0]['geometry']['location']['lng']
lat = round(lat,7)
lng = round(lng,7)
# Construimos geometría
lado = round(math.sqrt(round(d["building_area"]/d["pisos"])))
l.append([lat,round(lng+(lado/2/111319),7)])
l.append([lat,round(lng-(lado/2/111319),7)])
l.append([round(lat+(lado/111319),7),l[0][1]])
l.append([round(lat-(lado/111319),7),l[1][1]])
# Obtenemos UBID de edificios
ubid = openlocationcode.encode(lat,lng)
list_address.append(x)
list_lat.append(lat)
list_lng.append(lng)
list_ubid.append(ubid)
else:
df_first = df_first.drop([i],axis=0)
dir_not_found.append(x)
cont=cont+1
df_first = df_first.reset_index(drop=True)
if cont>0:
print("No se encontro latitud y longitud de "+str(cont)+" edificios, estos fueron eliminados")
print("Se agrega altura a cada edificio")
print("Se agrega UBID y latitud y longitud")
