def test_2d_srid4326(self):
# SRID just from meta:
pt = dict(type='Point', coordinates=[0.0, 1.0], meta=dict(srid=4326))
expected = 'SRID=4326;' + WKT['point']['2d']
self.assertEqual(expected, wkt.dumps(pt))
# SRID from both meta and crs:
pt = dict(
type='Point', coordinates=[0.0, 1.0], meta=dict(srid=4326),
crs={'type': 'name', 'properties': {'name': 'EPSG4326'}},
)
expected = 'SRID=4326;' + WKT['point']['2d']
self.assertEqual(expected, wkt.dumps(pt))
# SRID just from crs:
pt = dict(
type='Point', coordinates=[0.0, 1.0],
crs={'type': 'name', 'properties': {'name': 'EPSG4326'}},
)
expected = 'SRID=4326;' + WKT['point']['2d']
self.assertEqual(expected, wkt.dumps(pt))
# Conflicting SRID from meta and crs:
pt = dict(
type='Point', coordinates=[0.0, 1.0], meta=dict(srid=4326),
crs={'type': 'name', 'properties': {'name': 'EPSG4327'}},
)
expected = 'SRID=4326;' + WKT['point']['2d']
with self.assertRaises(ValueError) as ar:
wkt.dumps(pt)
self.assertEqual('Ambiguous CRS/SRID values: 4326 and 4327',
str(ar.exception))
def test_malformed_geojson(self):
bad_geojson = [
# GEOMETRYCOLLECTIONs have 'geometries', not coordinates
dict(type='GeometryCollection', coordinates=[]),
# All other geometry types must have coordinates
dict(type='Point'),
# and a type
dict(coordinates=[]),
]
for each in bad_geojson:
with self.assertRaises(geomet.InvalidGeoJSONException):
wkt.dumps(each)
def test_3d(self):
# Test for an XYZ/XYM Point:
pt = dict(type='Point', coordinates=[0.0, -1.0, 2.0])
expected = (
'POINT (0.0000000000000000 -1.0000000000000000 2.0000000000000000)'
)
self.assertEqual(expected, wkt.dumps(pt))
def test_spatial(self):
dataset = {
'id': '4b6fe9ca-dc77-4cec-92a4-55c6624a5bd6',
'name': 'test-dataset',
'extras': [
{'key': 'spatial_uri', 'value': 'http://sws.geonames.org/6361390/'},
{'key': 'spatial_text', 'value': 'Tarragona'},
{'key': 'spatial', 'value': '{"type": "Polygon", "coordinates": [[[1.1870606,41.0786393],[1.1870606,41.1655218],[1.3752339,41.1655218],[1.3752339,41.0786393],[1.1870606,41.0786393]]]}'},
]
}
extras = self._extras(dataset)
s = RDFSerializer()
g = s.g
dataset_ref = s.graph_from_dataset(dataset)
spatial = self._triple(g, dataset_ref, DCT.spatial, None)[2]
assert spatial
eq_(unicode(spatial), extras['spatial_uri'])
assert self._triple(g, spatial, RDF.type, DCT.Location)
assert self._triple(g, spatial, SKOS.prefLabel, extras['spatial_text'])
eq_(len([t for t in g.triples((spatial, LOCN.geometry, None))]), 2)
# Geometry in GeoJSON
assert self._triple(g, spatial, LOCN.geometry, extras['spatial'], GEOJSON_IMT)
# Geometry in WKT
wkt_geom = wkt.dumps(json.loads(extras['spatial']), decimals=4)
assert self._triple(g, spatial, LOCN.geometry, wkt_geom, GSP.wktLiteral)
def test_4d(self):
# Test for an XYZM Point:
pt = dict(type='Point', coordinates=[-0.0, -1.0, -2.0, -4.0])
expected = (
'POINT (-0.0000000000000000 -1.0000000000000000 '
'-2.0000000000000000 -4.0000000000000000)'
)
self.assertEqual(expected, wkt.dumps(pt))
def test_2d_srid4326(self):
mp = dict(
type='MultiPoint',
coordinates=[[100.0, 3.101], [101.0, 2.1], [3.14, 2.18]],
meta=dict(srid=4326),
)
expected = 'SRID=4326;' + WKT['multipoint']['2d']
self.assertEqual(expected, wkt.dumps(mp, decimals=3))
def test_2d(self):
mp = dict(type='MultiPoint', coordinates=[
[100.0, 3.101], [101.0, 2.1], [3.14, 2.18],
])
expected = (
'MULTIPOINT ((100.000 3.101), (101.000 2.100), (3.140 2.180))'
)
self.assertEqual(expected, wkt.dumps(mp, decimals=3))
def test_srid26618(self):
gc = {
'geometries': [
{'coordinates': [0.0, 1.0], 'type': 'Point'},
{'coordinates': [[-100.0, 0.0], [-101.0, -1.0]],
'type': 'LineString'},
{'coordinates': [[[100.001, 0.001],
[101.1235, 0.001],
[101.001, 1.001],
[100.001, 0.001]],
[[100.201, 0.201],
[100.801, 0.201],
[100.801, 0.801],
[100.201, 0.201]]],
'type': 'Polygon'},
{'coordinates': [[100.0, 3.101], [101.0, 2.1], [3.14, 2.18]],
'type': 'MultiPoint'},
{'coordinates': [[[0.0, -1.0], [-2.0, -3.0], [-4.0, -5.0]],
[[1.66, -31023.5, 1.1],
[10000.9999, 3.0, 2.2],
[100.9, 1.1, 3.3],
[0.0, 0.0, 4.4]]],
'type': 'MultiLineString'},
{'coordinates': [[[[100.001, 0.001],
[101.001, 0.001],
[101.001, 1.001],
[100.001, 0.001]],
[[100.201, 0.201],
[100.801, 0.201],
[100.801, 0.801],
[100.201, 0.201]]],
[[[1.0, 2.0, 3.0, 4.0],
[5.0, 6.0, 7.0, 8.0],
[9.0, 10.0, 11.0, 12.0],
[1.0, 2.0, 3.0, 4.0]]]],
'type': 'MultiPolygon'},
],
'type': 'GeometryCollection',
'meta': dict(srid=26618),
}
expected = (
'SRID=26618;GEOMETRYCOLLECTION '
'(POINT (0.000 1.000),'
'LINESTRING (-100.000 0.000, -101.000 -1.000),'
'POLYGON ((100.001 0.001, 101.124 0.001, 101.001 1.001, '
'100.001 0.001), (100.201 0.201, 100.801 0.201, 100.801 0.801, '
'100.201 0.201)),'
'MULTIPOINT ((100.000 3.101), (101.000 2.100), (3.140 2.180)),'
'MULTILINESTRING ((0.000 -1.000, -2.000 -3.000, -4.000 -5.000), '
'(1.660 -31023.500 1.100, 10001.000 3.000 2.200, '
'100.900 1.100 3.300, 0.000 0.000 4.400)),'
'MULTIPOLYGON (((100.001 0.001, 101.001 0.001, 101.001 1.001, '
'100.001 0.001), '
'(100.201 0.201, 100.801 0.201, 100.801 0.801, 100.201 0.201)), '
'((1.000 2.000 3.000 4.000, 5.000 6.000 7.000 8.000, '
'9.000 10.000 11.000 12.000, 1.000 2.000 3.000 4.000))))'
)
self.assertEqual(expected, wkt.dumps(gc, decimals=3))
def test_4d(self):
mp = dict(type='MultiPoint', coordinates=[
[100.0, 3.1, 1, 0], [101.0, 2.1, 2, 0], [3.14, 2.18, 3, 0],
])
expected = (
'MULTIPOINT ((100.00 3.10 1.00 0.00), (101.00 2.10 2.00 0.00), '
'(3.14 2.18 3.00 0.00))'
)
self.assertEqual(expected, wkt.dumps(mp, decimals=2))
def test_2d_srid4326(self):
# Test a typical 2D LineString case:
ls = dict(
type='LineString',
coordinates=[[-100.0, 0.0], [-101.0, -1.0]],
meta=dict(srid=4326),
)
expected = 'SRID=4326;' + WKT['linestring']['2d']
self.assertEqual(expected, wkt.dumps(ls))
def test_3d(self):
poly = dict(type='Polygon', coordinates=[
[[100.0, 0.0, 3.1], [101.0, 0.0, 2.1], [101.0, 1.0, 1.1],
[100.0, 0.0, 3.1]],
[[100.2, 0.2, 3.1], [100.8, 0.2, 2.1], [100.8, 0.8, 1.1],
[100.2, 0.2, 3.1]],
])
expected = WKT['polygon']['3d']
self.assertEqual(expected, wkt.dumps(poly, decimals=1))
def test_2d(self):
poly = dict(type='Polygon', coordinates=[
[[100.001, 0.001], [101.12345, 0.001], [101.001, 1.001],
[100.001, 0.001]],
[[100.201, 0.201], [100.801, 0.201], [100.801, 0.801],
[100.201, 0.201]],
])
expected = WKT['polygon']['2d']
self.assertEqual(expected, wkt.dumps(poly, decimals=4))
def test_3d(self):
ls = dict(type='LineString', coordinates=[[100.0, 0.0, -60.0],
[101.0, 1.0, -65.25]])
expected = (
'LINESTRING ('
'100.0000000000000000 0.0000000000000000 -60.0000000000000000, '
'101.0000000000000000 1.0000000000000000 -65.2500000000000000)'
)
self.assertEqual(expected, wkt.dumps(ls))
def test_2d(self):
# Test a typical 2D LineString case:
ls = dict(type='LineString', coordinates=[[-100.0, 0.0],
[-101.0, -1.0]])
expected = (
'LINESTRING (-100.0000000000000000 0.0000000000000000, '
'-101.0000000000000000 -1.0000000000000000)'
)
self.assertEqual(expected, wkt.dumps(ls))
def __init__(self, feature):
# feature is a geoJSON feature
self.coordinates = wkt.dumps(feature["geometry"])
properties = feature["properties"]
self.objectid = properties["objectid"]
self.permit_no = properties["permit_no"]
self.mobility_impact_text = properties["mobility_impact_text"]
self.permit_address_text = properties["permit_address_text"]
self.applicant_name = properties["applicant_name"]
def test_2d(self):
mlls = dict(type='MultiLineString', coordinates=[
[[0.0, -1.0], [-2.0, -3.0], [-4.0, -5.0]],
[[1.66, -31023.5], [10000.9999, 3.0], [100.9, 1.1],
[0.0, 0.0]],
])
expected = (
'MULTILINESTRING ((0.000 -1.000, -2.000 -3.000, -4.000 -5.000), '
'(1.660 -31023.500, 10001.000 3.000, 100.900 1.100, 0.000 0.000))'
)
self.assertEqual(expected, wkt.dumps(mlls, decimals=3))
def test_2d_srid2666(self):
poly = dict(
type='Polygon',
coordinates=[
[[100.001, 0.001], [101.12345, 0.001], [101.001, 1.001],
[100.001, 0.001]],
[[100.201, 0.201], [100.801, 0.201], [100.801, 0.801],
[100.201, 0.201]],
],
meta=dict(srid=2666),
)
expected = 'SRID=2666;' + WKT['polygon']['2d']
self.assertEqual(expected, wkt.dumps(poly, decimals=4))
def test_3d(self):
poly = dict(type='Polygon', coordinates=[
[[100.0, 0.0, 3.1], [101.0, 0.0, 2.1], [101.0, 1.0, 1.1],
[100.0, 0.0, 3.1]],
[[100.2, 0.2, 3.1], [100.8, 0.2, 2.1], [100.8, 0.8, 1.1],
[100.2, 0.2, 3.1]],
])
expected = (
'POLYGON ((100.0 0.0 3.1, 101.0 0.0 2.1, 101.0 1.0 1.1, '
'100.0 0.0 3.1), '
'(100.2 0.2 3.1, 100.8 0.2 2.1, 100.8 0.8 1.1, 100.2 0.2 3.1))'
)
self.assertEqual(expected, wkt.dumps(poly, decimals=1))
def test_dumps_empty_geoms(self):
types = [
'Point',
'LineString',
'Polygon',
'MultiPoint',
'MultiLineString',
'MultiPolygon',
]
expected = ['%s EMPTY' % x.upper() for x in types]
for i, t in enumerate(types):
geom = dict(type=t, coordinates=[])
self.assertEqual(expected[i], wkt.dumps(geom))
def test_2d(self):
poly = dict(type='Polygon', coordinates=[
[[100.001, 0.001], [101.12345, 0.001], [101.001, 1.001],
[100.001, 0.001]],
[[100.201, 0.201], [100.801, 0.201], [100.801, 0.801],
[100.201, 0.201]],
])
expected = (
'POLYGON ((100.0010 0.0010, 101.1235 0.0010, 101.0010 1.0010, '
'100.0010 0.0010), '
'(100.2010 0.2010, 100.8010 0.2010, 100.8010 0.8010, '
'100.2010 0.2010))'
)
self.assertEqual(expected, wkt.dumps(poly, decimals=4))
def test_4d(self):
mlls = dict(type='MultiLineString', coordinates=[
[[0.0, -1.0, 1.0, 0.0], [-2.0, -3.0, 1.0, 0.0],
[-4.0, -5.0, 1.0, 0.0]],
[[1.66, -31023.5, 1.1, 0.0], [10000.9999, 3.0, 2.2, 0.0],
[100.9, 1.1, 3.3, 0.0], [0.0, 0.0, 4.4, 0.0]],
])
expected = (
'MULTILINESTRING ((0.00 -1.00 1.00 0.00, '
'-2.00 -3.00 1.00 0.00, -4.00 -5.00 1.00 0.00), '
'(1.66 -31023.50 1.10 0.00, 10001.00 3.00 2.20 0.00, '
'100.90 1.10 3.30 0.00, 0.00 0.00 4.40 0.00))'
)
self.assertEqual(expected, wkt.dumps(mlls, decimals=2))
def test(self):
mpoly = dict(type='MultiPolygon', coordinates=[
[[[100.001, 0.001], [101.001, 0.001], [101.001, 1.001],
[100.001, 0.001]],
[[100.201, 0.201], [100.801, 0.201], [100.801, 0.801],
[100.201, 0.201]]],
[[[1.0, 2.0, 3.0, 4.0], [5.0, 6.0, 7.0, 8.0],
[9.0, 10.0, 11.0, 12.0], [1.0, 2.0, 3.0, 4.0]]],
])
expected = (
'MULTIPOLYGON (((100.001 0.001, 101.001 0.001, 101.001 1.001, '
'100.001 0.001), '
'(100.201 0.201, 100.801 0.201, 100.801 0.801, '
'100.201 0.201)), '
'((1.000 2.000 3.000 4.000, 5.000 6.000 7.000 8.000, '
'9.000 10.000 11.000 12.000, 1.000 2.000 3.000 4.000)))'
)
self.assertEqual(expected, wkt.dumps(mpoly, decimals=3))
def translate(text, output_format='json', indent=None, precision=-1):
if text.startswith('{'):
geom = json.loads(text)
elif text.startswith(('G', 'L', 'M', 'P')):
geom = wkt.loads(text)
else:
geom = wkb.loads(a2b_hex(text))
if output_format == 'wkb':
output = b2a_hex(wkb.dumps(geom))
elif output_format == 'wkt':
kwds = {}
if precision >= 0:
kwds['decimals'] = precision
output = wkt.dumps(geom, **kwds)
else:
if precision >= 0:
geom = util.round_geom(geom, precision)
output = json.dumps(geom, indent=indent, sort_keys=True)
return output
def bbox_filter(table, bbox):
"""Table is actual table object, bbox is of the form
[lon1, lat1, lon2, lat2]
"""
# Generate the polygon for the bounding box
coords = [[bbox[0], bbox[1]], [bbox[0], bbox[3]], [bbox[2], bbox[3]],
[bbox[2], bbox[1]], [bbox[0], bbox[1]]]
wkt_polygon = wkt.dumps({'type': 'Polygon', 'coordinates': [coords]},
decimals=6)
print wkt_polygon
# Query the database and return the result
query = db.session.query(table)
filtered = query.filter(table.coordinates.intersects(wkt_polygon))
resolved = [x for x in filtered]
print len(resolved)
return resolved
def geojson_to_wkt(self, gjson_str):
## Ths GeoJSON string should look something like:
## u'{"type": "Polygon", "coordinates": [[[-54, 46], [-54, 47], [-52, 47], [-52, 46], [-54, 46]]]}']
## Convert this JSON into an object, and load it into a Shapely object. The Shapely library can
## then output the geometry in Well-Known-Text format
try:
gjson = json.loads(gjson_str)
try:
gjson = _add_extra_longitude_points(gjson)
except:
# this is bad, but all we're trying to do is improve
# certain shapes and if that fails showing the original
# is good enough
pass
shape = gjson
except ValueError:
return None # avoid 500 error on bad geojson in DB
wkt_str = wkt.dumps(shape)
return wkt_str
def test_nested_gc(self):
gc = {
"type": "GeometryCollection",
"geometries": [
{
"type": "GeometryCollection",
"geometries": [
{
"type": "Point",
"coordinates": [
1.0,
2.0
]
},
{
"type": "Point",
"coordinates": [
3.0,
4.0
]
},
],
},
{
"type": "Point",
"coordinates": [
5.0,
6.0
],
},
],
}
expected = (
"GEOMETRYCOLLECTION (GEOMETRYCOLLECTION (POINT (1 2),POINT (3 4)),"
"POINT (5 6))"
)
self.assertEqual(expected, wkt.dumps(gc, decimals=0))
def test_unsupported_geom_type(self):
geom = dict(type='Tetrahedron', coordinates=[])
with self.assertRaises(ValueError) as ar:
wkt.dumps(geom)
self.assertEqual("Unsupported geometry type 'Tetrahedron'",
str(ar.exception))
def test_2d(self):
# Test a typical 2D LineString case:
ls = dict(type='LineString',
coordinates=[[-100.0, 0.0], [-101.0, -1.0]])
expected = WKT['linestring']['2d']
self.assertEqual(expected, wkt.dumps(ls))
def test_2d_3_decimals(self):
ls = dict(type='LineString', coordinates=[[100.0, 0.0], [101.0, 1.0]])
expected = 'LINESTRING (100.000 0.000, 101.000 1.000)'
self.assertEqual(expected, wkt.dumps(ls, decimals=3))
def test_2d(self):
# Tests a typical 2D Point case:
pt = dict(type='Point', coordinates=[0.0, 1.0])
expected = WKT['point']['2d']
self.assertEqual(expected, wkt.dumps(pt))
def test_4d(self):
# Test for an XYZM Point:
pt = dict(type='Point', coordinates=[-0.0, -1.0, -2.0, -4.0])
expected = WKT['point']['4d']
self.assertEqual(expected, wkt.dumps(pt))
def geojson_to_wkt(value): return wkt.dumps(json.loads(value))
def waze_jams_to_csv():
"""Waze jams feed to csv."""
url = 'https://na-georss.waze.com/rtserver/web/TGeoRSS?'\
+ 'tk=ccp_partner&ccp_partner_name=SanDiego&format=JSON'\
+ '&types=traffic&polygon=-117.338791,32.515842;-116.763725,'\
+ '32.565044;-116.967316,32.741082;-116.924744,33.086939;'\
+ '-117.000618,33.165720;-117.141037,33.065075;-117.351837,'\
+ '32.969500;-117.338791,32.515842;-117.338791,32.515842'
datetime_utc = datetime.now(timezone('UTC'))
datetime_pst = datetime_utc.astimezone(timezone('US/Pacific'))
date_pst = datetime_pst.strftime('%Y-%m-%d')
timestamp_pst = datetime_pst.strftime('%Y-%m-%d %H:%M:%S')
logfile = conf['prod_data_dir'] + '/{0}_waze_jams_datasd.csv'.format(date_pst)
tempfile = conf['temp_data_dir'] + '/waze_temp.csv'
rows_csv = []
rows_db = []
cols = ['uuid', 'waze_timestamp', 'street', 'start_node',
'end_node', 'city', 'length', 'delay', 'speed', 'level',
'road_type', 'geom']
fields_dict = {
'uuid': 'uuid',
'length': 'length',
'delay': 'delay',
'speed': 'speed',
'level': 'level',
'road_type': 'roadType',
'city': 'city',
'street': 'street',
'start_node': 'startNode',
'end_node': 'endNode'}
r = requests.get(url)
body = json.loads(r.content)
jams = body['jams']
for jam in jams:
for key, value in fields_dict.iteritems():
if value not in jam:
exec("{0}='NaN'".format(key))
else:
exec("{0}=jam['{1}']".format(key, value))
line = []
coordinates = jam['line']
for i in coordinates:
lon = i['x']
lat = i['y']
xy = (lon, lat)
line.append(xy)
line = LineString(line)
line_wkt = wkt.dumps(line, decimals=6)
line_db = 'SRID=4326;' + line_wkt
row_csv = [uuid, timestamp_pst, street, start_node, end_node,
city, length, delay, speed, level, road_type, line_wkt]
row_db = [uuid, timestamp_pst, street, start_node, end_node, city,
length, delay, speed, level, road_type, line_db]
for el in row_db:
if isinstance(el, basestring):
el.encode('utf-8')
rows_csv.append(row_csv)
rows_db.append(row_db)
logging.info('Saving Waze data to temp csv file.')
temp_df = pd.DataFrame(data=rows_db, columns=cols)
general.pos_write_csv(temp_df, tempfile, header=False)
logging.info('Saving Waze data to daily csv log.')
if not os.path.exists(logfile):
df = pd.DataFrame(data=rows_csv, columns=cols)
general.pos_write_csv(df, logfile)
else:
log_df = pd.read_csv(logfile)
df = pd.DataFrame(data=rows_csv, columns=cols)
log_df = log_df.append(df, ignore_index=True)
general.pos_write_csv(log_df, logfile)
return 'Successfully saved data to csv.'
def seed_db(db):
""" Add seed entities to the database. """
with app.app_context():
for x in User.create_defaults():
db.session.add(x)
print 'Created user table...'
for x in Role.create_defaults():
db.session.add(x)
print 'Created role table...'
for x in DataSet.create_defaults():
db.session.add(x)
print 'Created dataset table...'
# for x in Indicator.create_defaults():
# db.session.add(x)
for x in dfm.values.tolist():
ind = Indicator()
ind.in_name = x[0]
ind.unit = x[1]
ind.definition = x[2]
ind.theme = x[3]
ind.sub_theme = x[4]
ind.source = x[5]
ind.frequency = x[6]
db.session.add(ind)
print 'Created indicator table...'
for x in Region.create_defaults():
db.session.add(x)
print 'Created region table...'
for x in WaziRegion.create_defaults():
db.session.add(x)
print 'Created Wazi-region table...'
for x in Type.create_defaults():
db.session.add(x)
print 'Created type table...'
for x in Theme.create_defaults():
db.session.add(x)
print 'Created theme table...'
db.session.flush()
db.session.commit()
print 'Populating datapoints...'
mapping = {}
mapping_theme = {}
for i in range(0, len(dfi)):
index = dfi.iloc[i][0]
indicator = dfi.iloc[i][2]
theme = dfi.iloc[i][3]
mapping[index] = indicator
mapping_theme[index] = theme
for i in range(0, len(df)):
dataset_id = df.iloc[i][0]
indicator_id = mapping[df.iloc[i][0]]
region_id = regions[df.iloc[i][1]]
type_id = types[df.iloc[i][2]]
theme_id = mapping_theme[df.iloc[i][0]]
for y, c in zip(range(1996, 2018), range(3, 25)):
if isnan(df.iloc[i][c]):
pass
else:
point = DataPoint()
value = df.iloc[i][c]
year = y
point.dataset_id = int(dataset_id)
point.indicator_id = int(indicator_id)
point.region_id = int(region_id)
point.type_id = int(type_id)
point.theme_id = int(theme_id)
point.value = float(value)
point.year = int(year)
db.session.add(point)
db.session.flush()
db.session.commit()
data = geojson.load(
open(
'C:/Users/mrade_000/Documents/GitHub/scoda/scoda/data/metro_salc_geo.json'
))
data2 = genfromtxt(
'C:/Users/mrade_000/Documents/GitHub/scoda/scoda/data/jhbpopests_clean.csv',
delimiter=',')
parser = {}
for i, I in enumerate(sort(list(set(data2[:, 2])))):
parser[int(I)] = {}
parser[int(I)]['includes'] = []
parser[int(I)]['city_ref'] = i
for i in range(len(data2)):
parser[int(data2[i, 2])]['includes'].append(data2[i, 1])
parser2 = {}
for i in data2:
parser2[int(i[1])] = list(i[21:])
print 'Populating city enumerator GIS data...'
for poly in data['features']:
if poly['properties']['dc_mdb_c'] == 'JHB':
area = Area()
for i in parser:
if int(poly['properties']
['sal_code']) in parser[i]['includes']:
area.ward_code = i
area.city_ward_code = parser[i]['city_ref'] + 1
area.sal_code = int(poly['properties']['sal_code'])
area.region_id = 1
area.data = parser2[int(poly['properties']['sal_code'])]
polygon = wkt.dumps(poly['geometry'], decimals=6)
area.geom = polygon
db.session.add(area)
else:
pass
db.session.flush()
db.session.commit()
del data
del data2
print 'Populating city ward GIS data...'
data3 = geojson.load(
open(
'C:/Users/mrade_000/Documents/GitHub/scoda/scoda/data/MunicipalWards2016.json',
'r'))
for i in data3['features']:
if 'Johannesburg' in i['properties']['MunicName']:
ward = Ward()
ward.ward_code = int(i['properties']['WardID'])
ward.city_ward_code = int(i['properties']['WardNo'])
ward.region_id = 1
D = zeros(
(len(parser[int(i['properties']['WardID'])]['includes']),
35))
for j, J in enumerate(parser[int(
i['properties']['WardID'])]['includes']):
D[j, :] = parser2[J]
ward.data = list(sum(D, axis=0))
ward.geom = wkt.dumps(i['geometry'], decimals=6)
db.session.add(ward)
db.session.flush()
db.session.commit()
del data3
def cartodb2ogr(service_endpoint, aoi, out_fields, where='', _=''):
global FUNCTION_COUNT
FUNCTION_COUNT += 1
logging.info('FUNCTION cartodb2ogr STEP {} START'.format(FUNCTION_COUNT))
t0 = time()
endpoint_template = 'https://{}.carto.com/tables/{}/'
username, table = search(endpoint_template, service_endpoint + '/')
url = 'https://{username}.carto.com/api/v2/sql'.format(username=username)
if isinstance(aoi, str):
aoi = json.loads(aoi)
# raise ValueError()
params = {}
fields = ['ST_AsGeoJSON(the_geom) as geometry']
out_fields = out_fields.split(',')
for field in out_fields:
if field:
fields.append('{field} as {field}'.format(field=field))
temp = "ST_Intersects(ST_Buffer(ST_GeomFromText('{}',4326),0),the_geom)"
features = []
objectids = []
for f in aoi['features']:
where_clause = temp.format(
wkt.dumps({
'type': 'Polygon',
'coordinates': bbox(f)
}))
if where and not where == '1=1':
where_clause += 'AND {}'.format(where)
q = 'SELECT {fields} FROM {table} WHERE {where}'
params = {
'q': q.format(fields=','.join(fields),
table=table,
where=where_clause)
}
try:
req = requests.get(url, params=params)
req.raise_for_status()
except Exception as e:
raise ValueError((e, url, bbox(f)))
response = json.loads(req.text)['rows']
features += [{
'type': 'Feature',
'geometry': json.loads(h['geometry']),
'properties': {field: h[field]
for field in out_fields if field}
} for h in response]
featureset = json2ogr({'type': 'FeatureCollection', 'features': features})
logging.info('FUNCTION cartodb2ogr STEP {} DONE - {} SECONDS'.format(
FUNCTION_COUNT,
time() - t0))
return featureset
def tab1_accept(self):
"""
Load layers tab to load metrices and departments.
"""
####################################################
## Load department
####################################################
selected_department = self.dlg.comboBox.currentText()
if selected_department == '-' and len(self.dlg.selected_items) == 0:
QMessageBox.information(self.dlg.centralwidget, "Message",
"Nothing selected to load",
QMessageBox.Yes)
return
proj = QgsProject.instance()
current_layer = [x.name() for x in proj.mapLayers().values()]
if selected_department != '-':
level_boundaries = self.database.department_polygon(
selected_department)
vectorLayer = None
if selected_department not in current_layer:
vectorLayer = QgsVectorLayer('Polygon?crs=epsg:4326',
selected_department, 'memory')
# vectorLayer.setCustomProperty("showFeatureCount", len(list(level_boundaries)))
proj.addMapLayer(vectorLayer)
else:
vectorLayerTemp = proj.mapLayersByName(selected_department)
if len(vectorLayerTemp) > 0:
vectorLayer = vectorLayerTemp[0]
vectorLayer.dataProvider().truncate()
if vectorLayer:
prov = vectorLayer.dataProvider()
new_coords = []
fields = QgsFields()
for x in ['name', 'level_type']:
fields.append(QgsField(x, QVariant.String))
prov.addAttributes(fields)
vectorLayer.updateFields()
fields = prov.fields()
for level_boundary in level_boundaries:
try:
polygons = [[[
QgsPointXY(point[0], point[1]) for point in polygon
] for polygon in multi_polygon] for multi_polygon in
level_boundary['geometry']['coordinates']]
geom = QgsGeometry.fromMultiPolygonXY(polygons)
outGeom = QgsFeature()
outGeom.setFields(fields)
outGeom.setAttribute('name', level_boundary['name'])
outGeom.setAttribute('level_type',
level_boundary['level_type'])
outGeom.setGeometry(geom)
new_coords.append(outGeom)
except Exception as e:
print(e)
# single_symbol_renderer = vectorLayer.renderer()
# symbol = single_symbol_renderer.symbol()
# symbol.setOpacity(45)
# symbols = QgsSingleSymbolRenderer(symbol)
# vectorLayer.triggerRepaint()
#Seems to work
symbol = QgsFillSymbol.defaultSymbol(
vectorLayer.geometryType())
symbol.setOpacity(0.6)
myRenderer = QgsSingleSymbolRenderer(symbol)
vectorLayer.setRenderer(myRenderer)
prov.addFeatures(new_coords)
vectorLayer.updateExtents()
# print (vectorLayer.featureCount())
################################################################
# Display selected metrics
#
################################################################
if len(self.dlg.selected_items) > 0:
progress_bar = ProgressBar(len(self.dlg.selected_items))
for index, item in enumerate(self.dlg.selected_items):
vectorLayer = None
assets = self.database.service_metrics_geometry(
self.check_list[item])
if assets.count() > 0:
if item not in current_layer:
geometry_type = 'Point'
if 'type' in assets[0]['geometry']:
geometry_type = assets[0]['geometry']['type']
vectorLayer = QgsVectorLayer(geometry_type +
'?crs=epsg:4326', item,
'memory') #32643#4326
proj.addMapLayer(vectorLayer)
else:
vectorLayerTemp = proj.mapLayersByName(item)
if len(vectorLayerTemp) > 0:
vectorLayer = vectorLayerTemp[0]
vectorLayer.dataProvider().truncate()
if vectorLayer:
prov = vectorLayer.dataProvider()
#fields = prov.fields()
#vectorLayer.updateFields()
#feat =vectorLayer.getFeatures()
#attrs = feat.attributes()
#geom = feat.geometry()
#coords = geom.asPoint()
new_coords = []
fields = QgsFields()
for x, y in assets[0]['properties'].items():
fields.append(QgsField(x, QVariant.String))
prov.addAttributes(fields)
vectorLayer.updateFields()
fields = prov.fields()
for asset in assets:
try:
if 'type' in asset[
'geometry'] and 'coordinates' in asset[
'geometry']:
if '_id' in asset['geometry']:
del (asset['geometry']['_id'])
if 'created_at' in asset['geometry']:
del (asset['geometry']['created_at'])
if 'updated_at' in asset['geometry']:
del (asset['geometry']['updated_at'])
geom = QgsGeometry.fromWkt(
wkt.dumps(asset['geometry']))
outGeom = QgsFeature()
outGeom.setGeometry(geom)
outGeom.setFields(fields)
for x, y in asset['properties'].items():
outGeom.setAttribute(x, str(y))
new_coords.append(outGeom)
except Exception as e:
print(e)
#outGeom.setAttributes(attrs)
try:
if len(new_coords) > 0:
prov.addFeatures(new_coords)
vectorLayer.updateExtents()
# feature_layer = FeatureModifier(vectorLayer)
except:
pass
progress_bar.update_progress(index + 1)
root = QgsProject.instance().layerTreeRoot()
for child in root.children():
if isinstance(child, QgsLayerTreeLayer):
child.setCustomProperty("showFeatureCount", True)
qgis.utils.iface.zoomToActiveLayer()
self.dlg.close()
def graph_from_ckan(self, dataset_dict):
dataset_ref = self.dataset_uri(dataset_dict)
g = self.g
for prefix, namespace in namespaces.iteritems():
g.bind(prefix, namespace)
g.add((dataset_ref, RDF.type, DCAT.Dataset))
# Basic fields
items = [
('title', DCT.title, None),
('notes', DCT.description, None),
('url', DCAT.landingPage, None),
('identifier', DCT.identifier, ['guid', 'id']),
('version', OWL.versionInfo, ['dcat_version']),
('alternate_identifier', ADMS.identifier, None),
('version_notes', ADMS.versionNotes, None),
('frequency', DCT.accrualPeriodicity, ['frequency-of-update']),
('name', ADEQUATE.repositoryName, ['id']),
('categorization', ADEQUATE.category, None),
]
_add_triples_from_dict(self.g, dataset_dict, dataset_ref, items)
# Tags
for tag in dataset_dict.get('tags', []):
if isinstance(tag, dict):
g.add((dataset_ref, DCAT.keyword, Literal(tag['name'])))
elif isinstance(tag, basestring):
g.add((dataset_ref, DCAT.keyword, Literal(tag)))
# Dates
items = [
('issued', DCT.issued, ['metadata_created']),
('modified', DCT.modified, ['metadata_modified']),
]
_add_date_triples_from_dict(self.g, dataset_dict, dataset_ref, items)
# Lists
items = [
('language', DCT.language, None),
('theme', DCAT.theme, None),
('conforms_to', DCAT.conformsTo, None),
]
_add_list_triples_from_dict(self.g, dataset_dict, dataset_ref, items)
# Contact details
if any([
self._get_dataset_value(dataset_dict, 'contact_uri'),
self._get_dataset_value(dataset_dict, 'contact_name'),
self._get_dataset_value(dataset_dict, 'contact_email'),
self._get_dataset_value(dataset_dict, 'maintainer'),
self._get_dataset_value(dataset_dict, 'maintainer_email'),
self._get_dataset_value(dataset_dict, 'author'),
self._get_dataset_value(dataset_dict, 'author_email'),
]):
contact_uri = self._get_dataset_value(dataset_dict, 'contact_uri')
if contact_uri:
contact_details = URIRef(contact_uri)
else:
bnode_hash = hashlib.sha1(dataset_ref.n3() + DCAT.contactPoint.n3())
contact_details = BNode(bnode_hash.hexdigest())
g.add((contact_details, RDF.type, VCARD.Organization))
g.add((dataset_ref, DCAT.contactPoint, contact_details))
# contact-email was added as "most frequent extra key"
items = [
('contact_name', VCARD.fn, ['maintainer', 'author']),
('contact_email', VCARD.hasEmail, ['maintainer_email',
'author_email',
'contact-email']),
]
_add_triples_from_dict(self.g, dataset_dict, contact_details, items)
# Publisher
if any([
self._get_dataset_value(dataset_dict, 'publisher_uri'),
self._get_dataset_value(dataset_dict, 'publisher_name'),
dataset_dict.get('organization'),
]):
publisher_name = self._get_dataset_value(dataset_dict, 'publisher_name')
if not publisher_name and dataset_dict.get('organization'):
publisher_name = dataset_dict['organization']['title']
publisher_uri = self.publisher_uri_from_dataset_dict(dataset_dict)
if publisher_uri:
publisher_details = URIRef(publisher_uri)
else:
# No organization nor publisher_uri
id_string = dataset_ref.n3() + DCT.publisher.n3() + publisher_name
bnode_hash = hashlib.sha1(id_string.encode('utf-8'))
publisher_details = BNode(bnode_hash.hexdigest())
g.add((publisher_details, RDF.type, FOAF.Organization))
g.add((dataset_ref, DCT.publisher, publisher_details))
g.add((publisher_details, FOAF.name, Literal(publisher_name)))
# TODO: It would make sense to fallback these to organization
# fields but they are not in the default schema and the
# `organization` object in the dataset_dict does not include
# custom fields
items = [
('publisher_email', FOAF.mbox, None),
('publisher_url', FOAF.homepage, None),
('publisher_type', DCT.type, None),
]
_add_triples_from_dict(self.g, dataset_dict, publisher_details, items)
# Temporal
start = self._get_dataset_value(dataset_dict, 'temporal_start', default='')
end = self._get_dataset_value(dataset_dict, 'temporal_end', default='')
if start or end:
id_string = dataset_ref.n3() + DCT.temporal.n3() + start + end
bnode_hash = hashlib.sha1(id_string.encode('utf-8'))
temporal_extent = BNode(bnode_hash.hexdigest())
g.add((temporal_extent, RDF.type, DCT.PeriodOfTime))
if start:
_add_date_triple(self.g, temporal_extent, SCHEMA.startDate, start)
if end:
_add_date_triple(self.g, temporal_extent, SCHEMA.endDate, end)
g.add((dataset_ref, DCT.temporal, temporal_extent))
# Spatial
spatial_uri = self._get_dataset_value(dataset_dict, 'spatial_uri', default='')
spatial_text = self._get_dataset_value(dataset_dict, 'spatial_text', default='')
spatial_geom = self._get_dataset_value(dataset_dict, 'spatial', default='')
if spatial_uri or spatial_text or spatial_geom:
if spatial_uri:
spatial_ref = URIRef(spatial_uri)
else:
id_string = dataset_ref.n3() + DCT.spatial.n3() + spatial_uri + spatial_text + spatial_geom
bnode_hash = hashlib.sha1(id_string.encode('utf-8'))
spatial_ref = BNode(bnode_hash.hexdigest())
g.add((spatial_ref, RDF.type, DCT.Location))
g.add((dataset_ref, DCT.spatial, spatial_ref))
if spatial_text:
g.add((spatial_ref, SKOS.prefLabel, Literal(spatial_text)))
if spatial_geom:
# GeoJSON
g.add((spatial_ref,
LOCN.geometry,
Literal(spatial_geom, datatype=GEOJSON_IMT)))
# WKT, because GeoDCAT-AP says so
try:
g.add((spatial_ref,
LOCN.geometry,
Literal(wkt.dumps(json.loads(spatial_geom),
decimals=4),
datatype=GSP.wktLiteral)))
except (TypeError, ValueError, InvalidGeoJSONException):
pass
# License
license_id = self._get_dataset_value(dataset_dict, 'license_id', default='')
license_url = self._get_dataset_value(dataset_dict, 'license_url', default='')
license_title = self._get_dataset_value(dataset_dict, 'license_title', default='')
license = None
if license_id or license_url or license_title:
if license_url and bool(urlparse.urlparse(license_url).netloc):
license = URIRef(license_url)
else:
id_string = dataset_ref.n3() + DCT.license.n3() + license_id + license_url + license_title
bnode_hash = hashlib.sha1(id_string.encode('utf-8'))
license = BNode(bnode_hash.hexdigest())
# maybe a non-valid url
if license_url:
g.add((license, RDFS.comment, Literal(license_url)))
# l is a license document
g.add((license, RDF.type, DCT.LicenseDocument))
if license_title:
g.add((license, RDFS.label, Literal(license_title)))
if license_id:
g.add((license, DCT.identifier, Literal(license_id)))
# Resources
for resource_dict in dataset_dict.get('resources', []):
distribution = URIRef(self.resource_uri(resource_dict, dataset_dict.get('id')))
g.add((dataset_ref, DCAT.distribution, distribution))
g.add((distribution, RDF.type, DCAT.Distribution))
# License
if license:
g.add((distribution, DCT.license, license))
# Simple values
items = [
('name', DCT.title, None),
('description', DCT.description, None),
('status', ADMS.status, None),
('rights', DCT.rights, None),
('license', DCT.license, None),
]
_add_triples_from_dict(self.g, resource_dict, distribution, items)
# Format
if '/' in resource_dict.get('format', ''):
g.add((distribution, DCAT.mediaType,
Literal(resource_dict['format'])))
else:
if resource_dict.get('format'):
id_string = dataset_ref.n3() + DCT['format'].n3() + resource_dict['format']
bnode_hash = hashlib.sha1(id_string.encode('utf-8'))
f = BNode(bnode_hash.hexdigest())
g.add((f, RDF.type, DCT.MediaTypeOrExtent))
g.add((f, RDFS.label, Literal(resource_dict['format'])))
g.add((distribution, DCT['format'], f))
if resource_dict.get('mimetype'):
g.add((f, RDF.value, Literal(resource_dict['mimetype'])))
if resource_dict.get('mimetype'):
g.add((distribution, DCAT.mediaType,
Literal(resource_dict['mimetype'])))
# URL
url = resource_dict.get('url')
download_url = resource_dict.get('download_url')
if download_url:
download_url = download_url.strip()
if is_valid_uri(download_url):
g.add((distribution, DCAT.downloadURL, URIRef(download_url)))
else:
g.add((distribution, DCAT.downloadURL, Literal(download_url)))
if (url and not download_url) or (url and url != download_url):
url = url.strip()
if is_valid_uri(url):
g.add((distribution, DCAT.accessURL, URIRef(url)))
else:
g.add((distribution, DCAT.accessURL, Literal(url)))
# Dates
# metadata-date was added as "most frequent extra key"
items = [
('issued', DCT.issued, ['created',
'metadata-date']),
('modified', DCT.modified, ['last_modified']),
]
_add_date_triples_from_dict(self.g, resource_dict, distribution, items)
# Numbers
if resource_dict.get('size'):
try:
g.add((distribution, DCAT.byteSize,
Literal(float(resource_dict['size']),
datatype=XSD.decimal)))
except (ValueError, TypeError):
g.add((distribution, DCAT.byteSize,
Literal(resource_dict['size'])))
return dataset_ref
def extract_data(self, id):
g = self._init_graph(id)
# Basic fields
items = [
("title", DCT.title, None, Literal),
("notes", DCT.description, None, Literal),
# ('url', DCAT.landingPage, None, URIRef),
("identifier", DCT.identifier, ["guid", "id"], Literal),
("version", OWL.versionInfo, ["version"], Literal),
("version_notes", ADMS.versionNotes, None, Literal),
("frequency", DCT.accrualPeriodicity, None, Literal),
("access_rights", DCT.accessRights, None, Literal),
("dcat_type", DCT.type, None, Literal),
("provenance", DCT.provenance, None, Literal),
]
for triple in get_triples_from_dict(self._dataset_dict,
self._dataset_ref, items):
g.add(triple)
g.add((self._dataset_ref, DCAT.landingPage, URIRef(self._dataset_url)))
# Tags
for tag in self._dataset_dict.get("tags", []):
g.add((self._dataset_ref, DCAT.keyword, Literal(tag["name"])))
# Dates
items = [
("issued", DCT.issued, ["metadata_created"], Literal),
("modified", DCT.modified, ["metadata_modified"], Literal),
]
for triple in get_triples_from_dict(self._dataset_dict,
self._dataset_ref,
items,
date_value=True):
g.add(triple)
# Lists
items = [
("language", DCT.language, None, Literal),
("theme", DCAT.theme, None, URIRef),
("conforms_to", DCT.conformsTo, None, Literal),
("alternate_identifier", ADMS.identifier, None, Literal),
("documentation", FOAF.page, None, Literal),
# TODO: why we dont have this field?
# ('related_resource', DCT.relation, None, Literal),
("has_version", DCT.hasVersion, None, Literal),
("is_version_of", DCT.isVersionOf, None, Literal),
("source", DCT.source, None, Literal),
("sample", ADMS.sample, None, Literal),
]
for triple in get_list_triples_from_dict(self._dataset_dict,
self._dataset_ref, items):
g.add(triple)
# Contact details
if any(
self._dataset_dict.get(field) for field in [
"contact_uri",
"contact_name",
"contact_email",
"maintainer",
"maintainer_email",
"author",
"author_email",
]):
contact_uri = self._dataset_dict.get("contact_uri")
if contact_uri:
contact_details = CleanedURIRef(contact_uri)
else:
contact_details = BNode()
g.add((contact_details, RDF.type, VCARD.Organization))
g.add((self._dataset_ref, DCAT.contactPoint, contact_details))
for triple in get_triple_from_dict(
self._dataset_dict,
contact_details,
VCARD.fn,
"contact_name",
["maintainer", "author"],
):
g.add(triple)
# Add mail address as URIRef, and ensure it has a mailto: prefix
for triple in get_triple_from_dict(
self._dataset_dict,
contact_details,
VCARD.hasEmail,
"contact_email",
["maintainer_email", "author_email"],
_type=URIRef,
value_modifier=add_mailto,
):
g.add(triple)
# Publisher
if any(
self._dataset_dict.get(field) for field in [
"publisher_uri",
"publisher_name",
"organization",
]):
publisher_uri = publisher_uri_from_dataset_dict(self._dataset_dict)
if publisher_uri:
publisher_details = CleanedURIRef(publisher_uri)
else:
# No organization nor publisher_uri
publisher_details = BNode()
g.add((publisher_details, RDF.type, FOAF.Organization))
g.add((self._dataset_ref, DCT.publisher, publisher_details))
publisher_name = self._dataset_dict.get("publisher_name")
if not publisher_name and self._dataset_dict.get("organization"):
publisher_name = self._dataset_dict["organization"]["title"]
g.add((publisher_details, FOAF.name, Literal(publisher_name)))
# TODO: It would make sense to fallback these to organization
# fields but they are not in the default schema and the
# `organization` object in the self._dataset_dict does not include
# custom fields
items = [
("publisher_email", FOAF.mbox, None, Literal),
("publisher_url", FOAF.homepage, None, URIRef),
("publisher_type", DCT.type, None, Literal),
]
for triple in get_triples_from_dict(self._dataset_dict,
publisher_details, items):
g.add(triple)
# Temporal
start = self._dataset_dict.get("temporal_start")
end = self._dataset_dict.get("temporal_end")
if start or end:
temporal_extent = BNode()
g.add((temporal_extent, RDF.type, DCT.PeriodOfTime))
if start:
g.add(get_date_triple(temporal_extent, SCHEMA.startDate,
start))
if end:
g.add(get_date_triple(temporal_extent, SCHEMA.endDate, end))
g.add((self._dataset_ref, DCT.temporal, temporal_extent))
# Spatial
spatial_uri = self._dataset_dict.get("spatial_uri")
spatial_text = self._dataset_dict.get("spatial_text")
spatial_geom = self._dataset_dict.get("spatial")
if spatial_uri or spatial_text or spatial_geom:
if spatial_uri:
spatial_ref = CleanedURIRef(spatial_uri)
else:
spatial_ref = BNode()
g.add((spatial_ref, RDF.type, DCT.Location))
g.add((self._dataset_ref, DCT.spatial, spatial_ref))
if spatial_text:
g.add((spatial_ref, SKOS.prefLabel, Literal(spatial_text)))
if spatial_geom:
# GeoJSON
g.add((
spatial_ref,
LOCN.geometry,
Literal(spatial_geom, datatype=GEOJSON_IMT),
))
# WKT, because GeoDCAT-AP says so
try:
g.add((
spatial_ref,
LOCN.geometry,
Literal(
wkt.dumps(json.loads(spatial_geom), decimals=4),
datatype=GSP.wktLiteral,
),
))
except (TypeError, ValueError, InvalidGeoJSONException):
pass
# Resources
for resource_dict in self._dataset_dict.get("resources", []):
distribution = CleanedURIRef(resource_uri(resource_dict))
g.add((self._dataset_ref, DCAT.distribution, distribution))
g.add((distribution, RDF.type, DCAT.Distribution))
# Simple values
items = [
("name", DCT.title, None, Literal),
("description", DCT.description, None, Literal),
("status", ADMS.status, None, Literal),
("rights", DCT.rights, None, Literal),
# TODO: we are avoiding licenses right now
# ('license', DCT.license, None, Literal),
("access_url", DCAT.accessURL, None, URIRef),
("download_url", DCAT.downloadURL, None, URIRef),
]
for triple in get_triples_from_dict(resource_dict, distribution,
items):
g.add(triple)
# Lists
items = [
("documentation", FOAF.page, None, Literal),
("language", DCT.language, None, Literal),
("conforms_to", DCT.conformsTo, None, Literal),
]
for triple in get_list_triples_from_dict(resource_dict,
distribution, items):
g.add(triple)
# Format
if "/" in resource_dict.get("format", ""):
g.add((
distribution,
DCAT.mediaType,
Literal(resource_dict["format"]),
))
else:
if resource_dict.get("format"):
g.add((
distribution,
DCT["format"],
Literal(resource_dict["format"]),
))
if resource_dict.get("mimetype"):
g.add((
distribution,
DCAT.mediaType,
Literal(resource_dict["mimetype"]),
))
# URL fallback and old behavior
url = resource_dict.get("url")
download_url = resource_dict.get("download_url")
access_url = resource_dict.get("access_url")
# Use url as fallback for access_url if access_url is not
# set and download_url is not equal
if url and not access_url:
if (not download_url) or (download_url
and url != download_url):
for triple in get_triple_from_dict(
resource_dict,
distribution,
DCAT.accessURL,
"url",
_type=URIRef,
):
g.add(triple)
# Dates
items = [
("issued", DCT.issued, None, Literal),
("modified", DCT.modified, None, Literal),
]
for triple in get_triples_from_dict(resource_dict,
distribution,
items,
date_value=True):
g.add(triple)
# Numbers
if resource_dict.get("size"):
try:
g.add((
distribution,
DCAT.byteSize,
Literal(
float(resource_dict["size"]),
datatype=XSD.decimal,
),
))
except (ValueError, TypeError):
g.add((
distribution,
DCAT.byteSize,
Literal(resource_dict["size"]),
))
# Checksum
if resource_dict.get("hash"):
checksum = BNode()
g.add((checksum, RDF.type, SPDX.Checksum))
g.add((
checksum,
SPDX.checksumValue,
Literal(resource_dict["hash"], datatype=XSD.hexBinary),
))
if resource_dict.get("hash_algorithm"):
if resource_dict["hash_algorithm"].startswith("http"):
g.add((
checksum,
SPDX.algorithm,
CleanedURIRef(resource_dict["hash_algorithm"]),
))
else:
g.add((
checksum,
SPDX.algorithm,
Literal(resource_dict["hash_algorithm"]),
))
g.add((distribution, SPDX.checksum, checksum))
# graph.add((dataset. RDF.about , Literal()))
return {"data": g.serialize(format="pretty-xml")}
def test_4d(self):
mp = dict(type='MultiPoint', coordinates=[
[100.0, 3.1, 1, 0], [101.0, 2.1, 2, 0], [3.14, 2.18, 3, 0],
])
expected = WKT['multipoint']['4d']
self.assertEqual(expected, wkt.dumps(mp, decimals=2))
def test_2d(self):
mp = dict(type='MultiPoint', coordinates=[
[100.0, 3.101], [101.0, 2.1], [3.14, 2.18],
])
expected = WKT['multipoint']['2d']
self.assertEqual(expected, wkt.dumps(mp, decimals=3))
def graph_from_dataset(self, dataset_dict, dataset_ref):
g = self.g
for prefix, namespace in namespaces.iteritems():
g.bind(prefix, namespace)
g.add((dataset_ref, RDF.type, DCAT.Dataset))
# Basic fields
items = [
('title', DCT.title, None, Literal),
('notes', DCT.description, None, Literal),
('url', DCAT.landingPage, None, URIRef),
('identifier', DCT.identifier, ['guid', 'id'], Literal),
('version', OWL.versionInfo, ['dcat_version'], Literal),
('version_notes', ADMS.versionNotes, None, Literal),
('frequency', DCT.accrualPeriodicity, None, Literal),
('access_rights', DCT.accessRights, None, Literal),
]
self._add_triples_from_dict(dataset_dict, dataset_ref, items)
# Tags
for tag in dataset_dict.get('tags', []):
g.add((dataset_ref, DCAT.keyword, Literal(tag['name'])))
# Dates
items = [
('issued', DCT.issued, ['metadata_created'], Literal),
('modified', DCT.modified, ['metadata_modified'], Literal),
]
self._add_date_triples_from_dict(dataset_dict, dataset_ref, items)
# Lists
items = [
('language', DCT.language, None, Literal),
('theme', DCAT.theme, None, URIRef),
('conforms_to', DCT.conformsTo, None, Literal),
('alternate_identifier', ADMS.identifier, None, Literal),
('documentation', FOAF.page, None, Literal),
('related_resource', DCT.relation, None, Literal),
('has_version', DCT.hasVersion, None, Literal),
('is_version_of', DCT.isVersionOf, None, Literal),
('source', DCT.source, None, Literal),
('sample', ADMS.sample, None, Literal),
]
self._add_list_triples_from_dict(dataset_dict, dataset_ref, items)
# Contact details
if any([
self._get_dataset_value(dataset_dict, 'contact_uri'),
self._get_dataset_value(dataset_dict, 'contact_name'),
self._get_dataset_value(dataset_dict, 'contact_email'),
self._get_dataset_value(dataset_dict, 'maintainer'),
self._get_dataset_value(dataset_dict, 'maintainer_email'),
self._get_dataset_value(dataset_dict, 'author'),
self._get_dataset_value(dataset_dict, 'author_email'),
]):
contact_uri = self._get_dataset_value(dataset_dict, 'contact_uri')
if contact_uri:
contact_details = URIRef(contact_uri)
else:
contact_details = BNode()
g.add((contact_details, RDF.type, VCARD.Organization))
g.add((dataset_ref, DCAT.contactPoint, contact_details))
items = [
('contact_name', VCARD.fn, ['maintainer', 'author'], Literal),
('contact_email', VCARD.hasEmail,
['maintainer_email', 'author_email'], Literal),
]
self._add_triples_from_dict(dataset_dict, contact_details, items)
# Publisher
if any([
self._get_dataset_value(dataset_dict, 'publisher_uri'),
self._get_dataset_value(dataset_dict, 'publisher_name'),
dataset_dict.get('organization'),
]):
publisher_uri = publisher_uri_from_dataset_dict(dataset_dict)
if publisher_uri:
publisher_details = URIRef(publisher_uri)
else:
# No organization nor publisher_uri
publisher_details = BNode()
g.add((publisher_details, RDF.type, FOAF.Organization))
g.add((dataset_ref, DCT.publisher, publisher_details))
publisher_name = self._get_dataset_value(dataset_dict,
'publisher_name')
if not publisher_name and dataset_dict.get('organization'):
publisher_name = dataset_dict['organization']['title']
g.add((publisher_details, FOAF.name, Literal(publisher_name)))
# TODO: It would make sense to fallback these to organization
# fields but they are not in the default schema and the
# `organization` object in the dataset_dict does not include
# custom fields
items = [
('publisher_email', FOAF.mbox, None, Literal),
('publisher_url', FOAF.homepage, None, URIRef),
('publisher_type', DCT.type, None, Literal),
]
self._add_triples_from_dict(dataset_dict, publisher_details, items)
# Temporal
start = self._get_dataset_value(dataset_dict, 'temporal_start')
end = self._get_dataset_value(dataset_dict, 'temporal_end')
if start or end:
temporal_extent = BNode()
g.add((temporal_extent, RDF.type, DCT.PeriodOfTime))
if start:
self._add_date_triple(temporal_extent, SCHEMA.startDate, start)
if end:
self._add_date_triple(temporal_extent, SCHEMA.endDate, end)
g.add((dataset_ref, DCT.temporal, temporal_extent))
# Spatial
spatial_uri = self._get_dataset_value(dataset_dict, 'spatial_uri')
spatial_text = self._get_dataset_value(dataset_dict, 'spatial_text')
spatial_geom = self._get_dataset_value(dataset_dict, 'spatial')
if spatial_uri or spatial_text or spatial_geom:
if spatial_uri:
spatial_ref = URIRef(spatial_uri)
else:
spatial_ref = BNode()
g.add((spatial_ref, RDF.type, DCT.Location))
g.add((dataset_ref, DCT.spatial, spatial_ref))
if spatial_text:
g.add((spatial_ref, SKOS.prefLabel, Literal(spatial_text)))
if spatial_geom:
# GeoJSON
g.add((spatial_ref, LOCN.geometry,
Literal(spatial_geom, datatype=GEOJSON_IMT)))
# WKT, because GeoDCAT-AP says so
try:
g.add((spatial_ref, LOCN.geometry,
Literal(wkt.dumps(json.loads(spatial_geom),
decimals=4),
datatype=GSP.wktLiteral)))
except (TypeError, ValueError, InvalidGeoJSONException):
pass
# Resources
for resource_dict in dataset_dict.get('resources', []):
distribution = URIRef(resource_uri(resource_dict))
g.add((dataset_ref, DCAT.distribution, distribution))
g.add((distribution, RDF.type, DCAT.Distribution))
# Simple values
items = [
('name', DCT.title, None, Literal),
('description', DCT.description, None, Literal),
('status', ADMS.status, None, Literal),
('rights', DCT.rights, None, Literal),
('license', DCT.license, None, Literal),
]
self._add_triples_from_dict(resource_dict, distribution, items)
# Lists
items = [
('documentation', FOAF.page, None, Literal),
('language', DCT.language, None, Literal),
('conforms_to', DCT.conformsTo, None, Literal),
]
self._add_list_triples_from_dict(resource_dict, distribution,
items)
# Format
if '/' in resource_dict.get('format', ''):
g.add((distribution, DCAT.mediaType,
Literal(resource_dict['format'])))
else:
if resource_dict.get('format'):
g.add((distribution, DCT['format'],
Literal(resource_dict['format'])))
if resource_dict.get('mimetype'):
g.add((distribution, DCAT.mediaType,
Literal(resource_dict['mimetype'])))
# URL
url = resource_dict.get('url')
download_url = resource_dict.get('download_url')
if download_url:
g.add((distribution, DCAT.downloadURL, URIRef(download_url)))
if (url and not download_url) or (url and url != download_url):
g.add((distribution, DCAT.accessURL, URIRef(url)))
# Dates
items = [
('issued', DCT.issued, None, Literal),
('modified', DCT.modified, None, Literal),
]
self._add_date_triples_from_dict(resource_dict, distribution,
items)
# Numbers
if resource_dict.get('size'):
try:
g.add((distribution, DCAT.byteSize,
Literal(float(resource_dict['size']),
datatype=XSD.decimal)))
except (ValueError, TypeError):
g.add((distribution, DCAT.byteSize,
Literal(resource_dict['size'])))
# Checksum
if resource_dict.get('hash'):
checksum = BNode()
g.add((checksum, SPDX.checksumValue,
Literal(resource_dict['hash'], datatype=XSD.hexBinary)))
if resource_dict.get('hash_algorithm'):
if resource_dict['hash_algorithm'].startswith('http'):
g.add((checksum, SPDX.algorithm,
URIRef(resource_dict['hash_algorithm'])))
else:
g.add((checksum, SPDX.algorithm,
Literal(resource_dict['hash_algorithm'])))
g.add((distribution, SPDX.checksum, checksum))
import sys
from osgeo import gdal, ogr
with open (r"F:/Master Course Materials/Second Semester/Recommender-Implementation/harvested-datasets/united-kingdom/5fb8813978cc4e4892da4b57bcf4491f_0.geojson", "r") as myfile:
data = myfile.read()
dataset = json.loads(data)
c1, c2;
for f in dataset["features"]:
for coordinate in f["geometry"]["coordinates"]:
c1 = [x[0] for x in coordinate] # first coordinate
c2 = [x[1] for x in coordinate]
bbox = [[min(c1),min(c2)],[min(c1),max(c2)],[max(c1),max(c2)],[max(c1),min(c2)],[min(c1),min(c2)]]
print(bbox);
import sys
from osgeo import gdal, ogr
from geomet import wkt
import json
with open(r"F:/Master Course Materials/Second Semester/Recommender-Implementation/harvested-datasets/united-kingdom/5fb8813978cc4e4892da4b57bcf4491f_0.geojson", "r") as myfile:
data = myfile.read()
dataset = json.loads(data)
envelopes=[]
for f in dataset["features"]:
geom = ogr.CreateGeometryFromWkt(wkt.dumps(f["geometry"], decimals=4)))
env = geom.GetEnvelope()
envelopes.append(env)
print(envelopes)
# Get Envelope returns a tuple (minX, maxX, minY, maxY)
env = geom.GetEnvelope()
print(env[0],env[2],env[1],env[3])
def create_line(feature: Dict[str, Any]) -> Iterable:
return chain([feature['id']],
(str(value) for value in feature['properties'].values()),
[wkt.dumps(feature['geometry'])])
def wkt(self):
return wkt.dumps(self.spatial)
def seed_db(db):
""" Add ETH seed entities to the database. """
with app.app_context():
# data = geojson.load(open('C:/Users/Wasim/Documents/GitHub/scoda/scoda/data/DBN2016_SHP.json'))
data = geojson.load(open('%s/data/%s' % (app.root_path, "DBN2016_SHP.json")))
data2 = genfromtxt('%s/data/%s' % (app.root_path, "exporteth16.csv"), delimiter=',',
skip_header=1)
parser = {}
Ws = [52102003, 52102015, 52102016, 52102018, 52201006, 52201008, 52206002, 52206003, 52206004, 52206005,
52206006, 52206007, 52902021, 52903012, 52903013, 52903014, 52903016, 52903017, 52903018]
for i, I in enumerate(list(range(59500001, 59500111)) + Ws):
parser[int(I)] = {}
parser[int(I)]['includes'] = []
parser[int(I)]['city_ref'] = i
for i in range(len(data2)):
parser[int(data2[i, 2])]['includes'].append(data2[i, 1])
parser2 = {}
for i in data2:
parser2[int(i[1])] = list(i[20:])
print('Populating ETH enumerator GIS data...')
for poly in data['features']:
if poly['properties']['dc_mdb_c'] == 'ETH':
area = Area()
for i in parser:
if int(poly['properties']['sal_code']) in parser[i]['includes']:
area.ward_code = i
area.city_ward_code = parser[i]['city_ref'] + 1
area.sal_code = int(poly['properties']['sal_code'])
area.region_id = 4
area.data = parser2[int(poly['properties']['sal_code'])]
polygon = wkt.dumps(poly['geometry'], decimals=6)
area.geom = polygon
db.session.add(area)
else:
pass
db.session.flush()
db.session.commit()
del data
del data2
print ('Populating ETH ward GIS data...')
data3 = geojson.load(open('%s/data/%s' % (app.root_path, "MunicipalWards2016.json"), 'r'))
for i in data3['features']:
if 'eThekwini' in i['properties']['MunicName']:
ward = Ward()
ward.ward_code = int(i['properties']['WardID'])
ward.city_ward_code = int(i['properties']['WardNo'])
ward.region_id = 4
D = zeros((len(parser[int(i['properties']['WardID'])]['includes']), 35))
for j, J in enumerate(parser[int(i['properties']['WardID'])]['includes']):
D[j, :] = parser2[J]
ward.data = list(sum(D, axis=0))
ward.geom = wkt.dumps(i['geometry'], decimals=6)
db.session.add(ward)
db.session.flush()
db.session.commit()
def graph_from_dataset(self, dataset_dict, dataset_ref):
g = self.g
for prefix, namespace in namespaces.iteritems():
g.bind(prefix, namespace)
g.add((dataset_ref, RDF.type, DCAT.Dataset))
# Basic fields
items = [
('title', DCT.title, None, Literal),
('notes', DCT.description, None, Literal),
('url', DCAT.landingPage, None, URIRef),
('identifier', DCT.identifier, ['guid', 'id'], Literal),
('version', OWL.versionInfo, ['dcat_version'], Literal),
('version_notes', ADMS.versionNotes, None, Literal),
('frequency', DCT.accrualPeriodicity, None, URIRef),
('access_rights', DCT.accessRights, None, Literal),
('dcat_type', DCT.type, None, Literal),
('provenance', DCT.provenance, None, Literal),
]
self._add_triples_from_dict(dataset_dict, dataset_ref, items)
# Tags
for tag in dataset_dict.get('tags', []):
g.add((dataset_ref, DCAT.keyword, Literal(tag['name'])))
# Dates
items = [
('issued', DCT.issued, ['metadata_created'], Literal),
('modified', DCT.modified, ['metadata_modified'], Literal),
]
self._add_date_triples_from_dict(dataset_dict, dataset_ref, items)
# Lists
items = [
('language', DCT.language, None, Literal),
('theme', DCAT.theme, None, URIRef),
('conforms_to', DCT.conformsTo, None, Literal),
('alternate_identifier', ADMS.identifier, None, Literal),
('documentation', FOAF.page, None, URIRef),
('related_resource', DCT.relation, None, URIRef),
('has_version', DCT.hasVersion, None, URIRef),
('is_version_of', DCT.isVersionOf, None, URIRef),
('source', DCT.source, None, Literal),
('sample', ADMS.sample, None, Literal),
]
self._add_list_triples_from_dict(dataset_dict, dataset_ref, items)
# Contact details
if any([
self._get_dataset_value(dataset_dict, 'contact_uri'),
self._get_dataset_value(dataset_dict, 'contact_name'),
self._get_dataset_value(dataset_dict, 'contact_email'),
self._get_dataset_value(dataset_dict, 'maintainer'),
self._get_dataset_value(dataset_dict, 'maintainer_email'),
self._get_dataset_value(dataset_dict, 'author'),
self._get_dataset_value(dataset_dict, 'author_email'),
]):
contact_uri = self._get_dataset_value(dataset_dict, 'contact_uri')
if contact_uri:
contact_details = URIRef(self._removeWhitespaces(contact_uri))
else:
contact_details = BNode()
g.add((contact_details, RDF.type, VCARD.Organization))
g.add((dataset_ref, DCAT.contactPoint, contact_details))
self._add_triple_from_dict(dataset_dict, contact_details, VCARD.fn,
'contact_name',
['maintainer', 'author'])
# Add mail address as URIRef, and ensure it has a mailto: prefix
self._add_triple_from_dict(dataset_dict,
contact_details,
VCARD.hasEmail,
'contact_email',
['maintainer_email', 'author_email'],
_type=URIRef,
value_modifier=self._add_mailto)
# Publisher
if any([
self._get_dataset_value(dataset_dict, 'publisher_uri'),
self._get_dataset_value(dataset_dict, 'publisher_name'),
dataset_dict.get('organization'),
]):
publisher_uri = publisher_uri_from_dataset_dict(dataset_dict)
if publisher_uri:
publisher_details = URIRef(
self._removeWhitespaces(publisher_uri))
else:
# No organization nor publisher_uri
publisher_details = BNode()
g.add((publisher_details, RDF.type, FOAF.Organization))
g.add((dataset_ref, DCT.publisher, publisher_details))
publisher_name = self._get_dataset_value(dataset_dict,
'publisher_name')
if not publisher_name and dataset_dict.get('organization'):
publisher_name = dataset_dict['organization']['title']
g.add((publisher_details, FOAF.name, Literal(publisher_name)))
# TODO: It would make sense to fallback these to organization
# fields but they are not in the default schema and the
# `organization` object in the dataset_dict does not include
# custom fields
items = [
('publisher_email', FOAF.mbox, None, Literal),
('publisher_url', FOAF.homepage, None, URIRef),
('publisher_type', DCT.type, None, URIRef),
]
self._add_triples_from_dict(dataset_dict, publisher_details, items)
# Temporal
start = self._get_dataset_value(dataset_dict, 'temporal_start')
end = self._get_dataset_value(dataset_dict, 'temporal_end')
if start or end:
temporal_extent = BNode()
g.add((temporal_extent, RDF.type, DCT.PeriodOfTime))
if start:
self._add_date_triple(temporal_extent, SCHEMA.startDate, start)
if end:
self._add_date_triple(temporal_extent, SCHEMA.endDate, end)
g.add((dataset_ref, DCT.temporal, temporal_extent))
# Spatial
spatial_uri = self._get_dataset_value(dataset_dict, 'spatial_uri')
spatial_text = self._get_dataset_value(dataset_dict, 'spatial_text')
spatial_geom = self._get_dataset_value(dataset_dict, 'spatial')
if spatial_uri or spatial_text or spatial_geom:
if spatial_uri:
spatial_ref = URIRef(self._removeWhitespaces(spatial_uri))
else:
spatial_ref = BNode()
g.add((spatial_ref, RDF.type, DCT.Location))
g.add((dataset_ref, DCT.spatial, spatial_ref))
if spatial_text:
g.add((spatial_ref, SKOS.prefLabel, Literal(spatial_text)))
if spatial_geom:
# GeoJSON
g.add((spatial_ref, LOCN.geometry,
Literal(spatial_geom, datatype=GEOJSON_IMT)))
# WKT, because GeoDCAT-AP says so
try:
g.add((spatial_ref, LOCN.geometry,
Literal(wkt.dumps(json.loads(spatial_geom),
decimals=4),
datatype=GSP.wktLiteral)))
except (TypeError, ValueError, InvalidGeoJSONException):
pass
# Resources
for resource_dict in dataset_dict.get('resources', []):
distribution = URIRef(
self._removeWhitespaces(resource_uri(resource_dict)))
g.add((dataset_ref, DCAT.distribution, distribution))
g.add((distribution, RDF.type, DCAT.Distribution))
# Simple values
items = [('name', DCT.title, None, Literal),
('description', DCT.description, None, Literal),
('status', ADMS.status, None, URIRef),
('rights', DCT.rights, None, URIRef),
('license', DCT.license, None, URIRef),
('access_url', DCAT.accessURL, None, URIRef),
('download_url', DCAT.downloadURL, None, URIRef)]
self._add_triples_from_dict(resource_dict, distribution, items)
# Lists
items = [
('documentation', FOAF.page, None, URIRef),
('language', DCT.language, None, Literal),
('conforms_to', DCT.conformsTo, None, Literal),
]
self._add_list_triples_from_dict(resource_dict, distribution,
items)
# Format
mimetype = resource_dict.get('mimetype')
fmt = resource_dict.get('format')
# IANA media types (either URI or Literal) should be mapped as mediaType.
# In case format is available and mimetype is not set or identical to format,
# check which type is appropriate.
if fmt and (not mimetype or mimetype == fmt):
if ('iana.org/assignments/media-types' in fmt
or not fmt.startswith('http') and '/' in fmt):
# output format value as dcat:mediaType instead of dct:format
mimetype = fmt
fmt = None
else:
# Use dct:format
mimetype = None
if mimetype:
if mimetype.startswith('http'):
g.add((distribution, DCAT.mediaType,
URIRef(self._removeWhitespaces(mimetype))))
else:
g.add((distribution, DCAT.mediaType, Literal(mimetype)))
if fmt:
if fmt.startswith('http'):
g.add((distribution, DCT['format'],
URIRef(self._removeWhitespaces(fmt))))
else:
g.add((distribution, DCT['format'], Literal(fmt)))
# URL fallback and old behavior
url = resource_dict.get('url')
download_url = resource_dict.get('download_url')
access_url = resource_dict.get('access_url')
# Use url as fallback for access_url if access_url is not set and download_url is not equal
if (url and ((not (access_url or download_url)) or
((not access_url) and
(download_url and url != download_url)))):
self._add_triple_from_dict(resource_dict,
distribution,
DCAT.accessURL,
'url',
_type=URIRef)
# Dates
items = [
('issued', DCT.issued, None, Literal),
('modified', DCT.modified, None, Literal),
]
self._add_date_triples_from_dict(resource_dict, distribution,
items)
# Numbers
if resource_dict.get('size'):
try:
g.add((distribution, DCAT.byteSize,
Literal(float(resource_dict['size']),
datatype=XSD.decimal)))
except (ValueError, TypeError):
g.add((distribution, DCAT.byteSize,
Literal(resource_dict['size'])))
# Checksum
if resource_dict.get('hash'):
checksum = BNode()
g.add((checksum, RDF.type, SPDX.Checksum))
g.add((checksum, SPDX.checksumValue,
Literal(resource_dict['hash'], datatype=XSD.hexBinary)))
if resource_dict.get('hash_algorithm'):
if resource_dict['hash_algorithm'].startswith('http'):
g.add((checksum, SPDX.algorithm,
URIRef(
self._removeWhitespaces(
resource_dict['hash_algorithm']))))
else:
g.add((checksum, SPDX.algorithm,
Literal(resource_dict['hash_algorithm'])))
g.add((distribution, SPDX.checksum, checksum))
def test_dumps_empty_geometrycollection(self):
geom = dict(type='GeometryCollection', geometries=[])
self.assertEqual('GEOMETRYCOLLECTION EMPTY', wkt.dumps(geom))
def test_4d(self):
mp = dict(type='MultiPoint', coordinates=[
[100.0, 3.1, 1, 0], [101.0, 2.1, 2, 0], [3.14, 2.18, 3, 0],
])
expected = WKT['multipoint']['4d']
self.assertEqual(expected, wkt.dumps(mp, decimals=2))
def test_3d(self):
# Test for an XYZ/XYM Point:
pt = dict(type='Point', coordinates=[0.0, -1.0, 2.0])
expected = WKT['point']['3d']
self.assertEqual(expected, wkt.dumps(pt))
def geojson2wkt(geojson):
#print geojson
coordinates = wkt.dumps(geojson, 6)
# print what kind of geometry we are dealing with
#print coordinates[0:coordinates.find(" ")]
return coordinates
def test_2d_6_decimals(self):
pt = dict(type='Point', coordinates=[-10, -77])
expected = 'POINT (-10.000000 -77.000000)'
self.assertEqual(expected, wkt.dumps(pt, decimals=6))
import pyarrow as pa
import pyarrow.parquet as pq
import s3fs
import pandas as pd
with open('paloalto.geojson', mode='rb') as f:
d = json.load(f)
results = []
for i in d['features']:
result = {}
name = dictor(i, "properties.name:en")
type = dictor(i, "geometry.type")
geojson = dictor(i, "geometry")
if type in ['Polygon', 'MultiPolygon']:
result['name'] = name
result['coordinates'] = wkt.dumps(geojson, decimals=7)
results.append(result)
#
data_frame = pd.DataFrame(results)
table = pa.Table.from_pandas(data_frame)
filesystem = s3fs.S3FileSystem()
path = "s3://s3-path-here"
pq.write_to_dataset(table,
root_path=path,
compression='gzip',
filesystem=filesystem)
def test_4d(self):
ls = dict(type='LineString',
coordinates=[[100.0, 0.0, -60.0, 0.1],
[101.0, 1.0, -65.25, 0.2]])
expected = WKT['linestring']['4d']
self.assertEqual(expected, wkt.dumps(ls))
def graph_from_dataset(self, dataset_dict, dataset_ref):
g = self.g
for prefix, namespace in namespaces.iteritems():
g.bind(prefix, namespace)
g.add((dataset_ref, RDF.type, DCAT.Dataset))
# Basic fields
items = [
('title', DCT.title, None),
('notes', DCT.description, None),
('url', DCAT.landingPage, None),
('identifier', DCT.identifier, ['guid', 'id']),
('version', OWL.versionInfo, ['dcat_version']),
('version_notes', ADMS.versionNotes, None),
('frequency', DCT.accrualPeriodicity, None),
('access_rights', DCT.accessRights, None),
]
self._add_triples_from_dict(dataset_dict, dataset_ref, items)
# Tags
for tag in dataset_dict.get('tags', []):
g.add((dataset_ref, DCAT.keyword, Literal(tag['name'])))
# Dates
items = [
('issued', DCT.issued, ['metadata_created']),
('modified', DCT.modified, ['metadata_modified']),
]
self._add_date_triples_from_dict(dataset_dict, dataset_ref, items)
# Lists
items = [
('language', DCT.language, None),
('theme', DCAT.theme, None),
('conforms_to', DCT.conformsTo, None),
('alternate_identifier', ADMS.identifier, None),
('documentation', FOAF.page, None),
('related_resource', DCT.relation, None),
('has_version', DCT.hasVersion, None),
('is_version_of', DCT.isVersionOf, None),
('source', DCT.source, None),
('sample', ADMS.sample, None),
]
self._add_list_triples_from_dict(dataset_dict, dataset_ref, items)
# Contact details
if any([
self._get_dataset_value(dataset_dict, 'contact_uri'),
self._get_dataset_value(dataset_dict, 'contact_name'),
self._get_dataset_value(dataset_dict, 'contact_email'),
self._get_dataset_value(dataset_dict, 'maintainer'),
self._get_dataset_value(dataset_dict, 'maintainer_email'),
self._get_dataset_value(dataset_dict, 'author'),
self._get_dataset_value(dataset_dict, 'author_email'),
]):
contact_uri = self._get_dataset_value(dataset_dict, 'contact_uri')
if contact_uri:
contact_details = URIRef(contact_uri)
else:
contact_details = BNode()
g.add((contact_details, RDF.type, VCARD.Organization))
g.add((dataset_ref, DCAT.contactPoint, contact_details))
items = [
('contact_name', VCARD.fn, ['maintainer', 'author']),
('contact_email', VCARD.hasEmail, ['maintainer_email',
'author_email']),
]
self._add_triples_from_dict(dataset_dict, contact_details, items)
# Publisher
if any([
self._get_dataset_value(dataset_dict, 'publisher_uri'),
self._get_dataset_value(dataset_dict, 'publisher_name'),
dataset_dict.get('organization'),
]):
publisher_uri = publisher_uri_from_dataset_dict(dataset_dict)
if publisher_uri:
publisher_details = URIRef(publisher_uri)
else:
# No organization nor publisher_uri
publisher_details = BNode()
g.add((publisher_details, RDF.type, FOAF.Organization))
g.add((dataset_ref, DCT.publisher, publisher_details))
publisher_name = self._get_dataset_value(dataset_dict, 'publisher_name')
if not publisher_name and dataset_dict.get('organization'):
publisher_name = dataset_dict['organization']['title']
g.add((publisher_details, FOAF.name, Literal(publisher_name)))
# TODO: It would make sense to fallback these to organization
# fields but they are not in the default schema and the
# `organization` object in the dataset_dict does not include
# custom fields
items = [
('publisher_email', FOAF.mbox, None),
('publisher_url', FOAF.homepage, None),
('publisher_type', DCT.type, None),
]
self._add_triples_from_dict(dataset_dict, publisher_details, items)
# Temporal
start = self._get_dataset_value(dataset_dict, 'temporal_start')
end = self._get_dataset_value(dataset_dict, 'temporal_end')
if start or end:
temporal_extent = BNode()
g.add((temporal_extent, RDF.type, DCT.PeriodOfTime))
if start:
self._add_date_triple(temporal_extent, SCHEMA.startDate, start)
if end:
self._add_date_triple(temporal_extent, SCHEMA.endDate, end)
g.add((dataset_ref, DCT.temporal, temporal_extent))
# Spatial
spatial_uri = self._get_dataset_value(dataset_dict, 'spatial_uri')
spatial_text = self._get_dataset_value(dataset_dict, 'spatial_text')
spatial_geom = self._get_dataset_value(dataset_dict, 'spatial')
if spatial_uri or spatial_text or spatial_geom:
if spatial_uri:
spatial_ref = URIRef(spatial_uri)
else:
spatial_ref = BNode()
g.add((spatial_ref, RDF.type, DCT.Location))
g.add((dataset_ref, DCT.spatial, spatial_ref))
if spatial_text:
g.add((spatial_ref, SKOS.prefLabel, Literal(spatial_text)))
if spatial_geom:
# GeoJSON
g.add((spatial_ref,
LOCN.geometry,
Literal(spatial_geom, datatype=GEOJSON_IMT)))
# WKT, because GeoDCAT-AP says so
try:
g.add((spatial_ref,
LOCN.geometry,
Literal(wkt.dumps(json.loads(spatial_geom),
decimals=4),
datatype=GSP.wktLiteral)))
except (TypeError, ValueError, InvalidGeoJSONException):
pass
# Resources
for resource_dict in dataset_dict.get('resources', []):
distribution = URIRef(resource_uri(resource_dict))
g.add((dataset_ref, DCAT.distribution, distribution))
g.add((distribution, RDF.type, DCAT.Distribution))
# Simple values
items = [
('name', DCT.title, None),
('description', DCT.description, None),
('status', ADMS.status, None),
('rights', DCT.rights, None),
('license', DCT.license, None),
]
self._add_triples_from_dict(resource_dict, distribution, items)
# Lists
items = [
('documentation', FOAF.page, None),
('language', DCT.language, None),
('conforms_to', DCT.conformsTo, None),
]
self._add_list_triples_from_dict(resource_dict, distribution, items)
# Format
if '/' in resource_dict.get('format', ''):
g.add((distribution, DCAT.mediaType,
Literal(resource_dict['format'])))
else:
if resource_dict.get('format'):
g.add((distribution, DCT['format'],
Literal(resource_dict['format'])))
if resource_dict.get('mimetype'):
g.add((distribution, DCAT.mediaType,
Literal(resource_dict['mimetype'])))
# URL
url = resource_dict.get('url')
download_url = resource_dict.get('download_url')
if download_url:
g.add((distribution, DCAT.downloadURL, Literal(download_url)))
if (url and not download_url) or (url and url != download_url):
g.add((distribution, DCAT.accessURL, Literal(url)))
# Dates
items = [
('issued', DCT.issued, None),
('modified', DCT.modified, None),
]
self._add_date_triples_from_dict(resource_dict, distribution, items)
# Numbers
if resource_dict.get('size'):
try:
g.add((distribution, DCAT.byteSize,
Literal(float(resource_dict['size']),
datatype=XSD.decimal)))
except (ValueError, TypeError):
g.add((distribution, DCAT.byteSize,
Literal(resource_dict['size'])))
# Checksum
if resource_dict.get('hash'):
checksum = BNode()
g.add((checksum, SPDX.checksumValue,
Literal(resource_dict['hash'],
datatype=XSD.hexBinary)))
if resource_dict.get('hash_algorithm'):
if resource_dict['hash_algorithm'].startswith('http'):
g.add((checksum, SPDX.algorithm,
URIRef(resource_dict['hash_algorithm'])))
else:
g.add((checksum, SPDX.algorithm,
Literal(resource_dict['hash_algorithm'])))
g.add((distribution, SPDX.checksum, checksum))
def test_4d(self):
poly = dict(type='Polygon',
coordinates=[[[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12],
[1, 2, 3, 4]]])
expected = WKT['polygon']['4d']
self.assertEqual(expected, wkt.dumps(poly, decimals=0))
def str_encode(self, value):
return wkt.dumps(self.json_encode(value))
def test_basic(self):
gc = {
'geometries': [
{
'coordinates': [0.0, 1.0],
'type': 'Point'
},
{
'coordinates': [[-100.0, 0.0], [-101.0, -1.0]],
'type': 'LineString'
},
{
'coordinates': [[[100.001, 0.001], [101.1235, 0.001],
[101.001, 1.001], [100.001, 0.001]],
[[100.201, 0.201], [100.801, 0.201],
[100.801, 0.801], [100.201, 0.201]]],
'type':
'Polygon'
},
{
'coordinates': [[100.0, 3.101], [101.0, 2.1], [3.14,
2.18]],
'type': 'MultiPoint'
},
{
'coordinates': [[[0.0, -1.0], [-2.0, -3.0], [-4.0, -5.0]],
[[1.66, -31023.5, 1.1],
[10000.9999, 3.0, 2.2], [100.9, 1.1, 3.3],
[0.0, 0.0, 4.4]]],
'type':
'MultiLineString'
},
{
'coordinates': [[[[100.001, 0.001], [101.001, 0.001],
[101.001, 1.001], [100.001, 0.001]],
[[100.201, 0.201], [100.801, 0.201],
[100.801, 0.801], [100.201, 0.201]]],
[[[1.0, 2.0, 3.0, 4.0],
[5.0, 6.0, 7.0, 8.0],
[9.0, 10.0, 11.0, 12.0],
[1.0, 2.0, 3.0, 4.0]]]],
'type':
'MultiPolygon'
},
],
'type':
'GeometryCollection',
}
expected = (
'GEOMETRYCOLLECTION '
'(POINT (0.000 1.000),'
'LINESTRING (-100.000 0.000, -101.000 -1.000),'
'POLYGON ((100.001 0.001, 101.124 0.001, 101.001 1.001, '
'100.001 0.001), (100.201 0.201, 100.801 0.201, 100.801 0.801, '
'100.201 0.201)),'
'MULTIPOINT ((100.000 3.101), (101.000 2.100), (3.140 2.180)),'
'MULTILINESTRING ((0.000 -1.000, -2.000 -3.000, -4.000 -5.000), '
'(1.660 -31023.500 1.100, 10001.000 3.000 2.200, '
'100.900 1.100 3.300, 0.000 0.000 4.400)),'
'MULTIPOLYGON (((100.001 0.001, 101.001 0.001, 101.001 1.001, '
'100.001 0.001), '
'(100.201 0.201, 100.801 0.201, 100.801 0.801, 100.201 0.201)), '
'((1.000 2.000 3.000 4.000, 5.000 6.000 7.000 8.000, '
'9.000 10.000 11.000 12.000, 1.000 2.000 3.000 4.000))))')
self.assertEqual(expected, wkt.dumps(gc, decimals=3))
"""
conversions from/to GeoJSON to WKT/WKB and back for use with socrata
https://github.com/larsbutler/geomet
"""
from geomet import wkt
point = {'type': 'Point', 'coordinates': [116.4, 45.2, 11.1]}
point_wkt = wkt.dumps(point, decimals=4)
print(point_wkt)
poly = {'type': 'Polygon',
'coordinates': [
[
[0.0, 0.0], [10.0, 30.0],
[30.0, 10.0], [0.0, 0.0]
]
] # I still don't get this additional pair of brackets
}
poly_wkt = wkt.dumps(poly, decimals=2)
print(poly_wkt)
# http://pcjericks.github.io/py-gdalogr-cookbook/geometry.html#create-a-linestring
#
def generateBounding():
cursor = selectDataset()
for row in cursor: #united-kingdom/39bc26ae67cf47f395cdec351c36b43a_0.geojson
try:
with open(
r"F:/Master Course Materials/Second Semester/Recommender-Implementation/harvested-datasets/"
+ row[2],
"r",
encoding="utf8") as myfile:
dataset = json.loads(myfile.read())
epsg = 4326
bbox = [-180, 180, -180, 180]
if ('crs' in dataset):
print(dataset['crs']['properties']['name'])
epsg = int(
re.findall('\d+',
dataset['crs']['properties']['name'])[-1])
bbox = [-180, 123456789, -180, 123456789]
else:
epsg = 4326
if ('bbox' in dataset):
bbox = dataset['bbox']
else:
polygons = []
envelopes = []
for f in dataset["features"]:
geom = ogr.CreateGeometryFromWkt(
wkt.dumps(f["geometry"], decimals=4))
env = geom.GetEnvelope()
polygons.append([env[0], env[1], env[2], env[3]])
envelopes.append(env)
for polygon in polygons:
# print(polygon);
if polygon[0] > bbox[0]:
bbox[0] = polygon[0]
if polygon[1] < bbox[1]:
bbox[1] = polygon[1]
if polygon[2] > bbox[2]:
bbox[2] = polygon[2]
if polygon[3] < bbox[3]:
bbox[3] = polygon[3]
# listPoint = [[bbox[0], bbox[2]],[bbox[0], bbox[3]],[bbox[1],bbox[3]],[bbox[1],bbox[2]],[bbox[0], bbox[2]]];
poly_wkt = "SRID=" + str(epsg) + ";" + "Polygon((" + str(
bbox[0]) + " " + str(bbox[2]) + "," + str(
bbox[0]) + " " + str(bbox[3]) + "," + str(
bbox[1]) + " " + str(bbox[3]) + "," + str(
bbox[1]) + " " + str(bbox[2]) + "," + str(
bbox[0]) + " " + str(bbox[2]) + "))"
# print(poly);
# print(epsg);
# print(row[2])
# polygon_geom = {'type': 'Polygon', 'coordinates': [listPoint]};
# break;
updateDataset(row[1], epsg,
"ST_GeomFromEWKT('" + poly_wkt + "')")
poly_wkt = ""
epsg = 4326
bbox = [-180, 180, -180, 180]
except Exception:
filenames.append(row[2])
# print(filenames);
print(len(filenames))
traceback.print_exc()
def test_unsupported_geom_type(self):
geom = dict(type='Tetrahedron', coordinates=[])
with self.assertRaises(ValueError) as ar:
wkt.dumps(geom)
self.assertEqual("Unsupported geometry type 'Tetrahedron'",
str(ar.exception))
