def testMultiPolygonFromGeoDict(self): json = """{"type":"MultiPolygon","coordinates":[[[[40,40],[20,45],[45,30],[40,40]]],[[[20,35],[10,30],[10,10],[30,5],[45,20],[20,35]],[[30,20],[20,15],[20,25],[30,20]]]]}""" parsed = loads(json, parse_float=Decimal) g = Geometry.fromGeoDict(parsed) r = "MultiPolygon([[[40, 40], [20, 45], [45, 30], [40, 40]]], [[[20, 35], [10, 30], [10, 10], [30, 5], [45, 20], [20, 35]], [[30, 20], [20, 15], [20, 25], [30, 20]]])" self.assertEquals(r, repr(g)) self.assertEquals(eval(r), g)
def testMultiLineStringFromGeoDict(self): json = """{"type":"MultiLineString","coordinates":[[[5.976364581846588,51.52243586973127],[5.977570822531698,51.521009542433255],[5.977641926636947,51.520937272278]],[[5.977641926636947,51.520937272278],[5.9779252893052455,51.52056729706881],[5.978463420127178,51.519845466966835]],[[5.978810297575312,51.51930414638479],[5.978780974683683,51.519300636494314],[5.978753517554276,51.51929103170512],[5.978725963940384,51.519272905985616],[5.978708102058019,51.51925108169847],[5.9786942063007675,51.51923287779468],[5.978688040122361,51.51920855828437],[5.9786858271487935,51.51918908170666],[5.97869714389736,51.519158579206554]],[[5.978463420127178,51.519845466966835],[5.978689959483037,51.51953869936622],[5.97876059153952,51.5194304755717],[5.978810297575312,51.51930414638479]],[[5.978942199072787,51.51912122045602],[5.97897402190174,51.519135261536135],[5.979001702402638,51.51916313044837],[5.979015786946229,51.51919471773031],[5.979020071895229,51.519223927694654],[5.979014461839677,51.51924343492792]],[[5.978942199072787,51.51912122045602],[5.979226543949531,51.518700018617565],[5.979439134138488,51.51842927555684],[5.979760764946663,51.517681570604],[5.979788757821533,51.517618506703975]]]}""" parsed = loads(json, parse_float=Decimal) g = Geometry.fromGeoDict(parsed) r = "MultiLineString([[Decimal('5.976364581846588'), Decimal('51.52243586973127')], [Decimal('5.977570822531698'), Decimal('51.521009542433255')], [Decimal('5.977641926636947'), Decimal('51.520937272278')]], [[Decimal('5.977641926636947'), Decimal('51.520937272278')], [Decimal('5.9779252893052455'), Decimal('51.52056729706881')], [Decimal('5.978463420127178'), Decimal('51.519845466966835')]], [[Decimal('5.978810297575312'), Decimal('51.51930414638479')], [Decimal('5.978780974683683'), Decimal('51.519300636494314')], [Decimal('5.978753517554276'), Decimal('51.51929103170512')], [Decimal('5.978725963940384'), Decimal('51.519272905985616')], [Decimal('5.978708102058019'), Decimal('51.51925108169847')], [Decimal('5.9786942063007675'), Decimal('51.51923287779468')], [Decimal('5.978688040122361'), Decimal('51.51920855828437')], [Decimal('5.9786858271487935'), Decimal('51.51918908170666')], [Decimal('5.97869714389736'), Decimal('51.519158579206554')]], [[Decimal('5.978463420127178'), Decimal('51.519845466966835')], [Decimal('5.978689959483037'), Decimal('51.51953869936622')], [Decimal('5.97876059153952'), Decimal('51.5194304755717')], [Decimal('5.978810297575312'), Decimal('51.51930414638479')]], [[Decimal('5.978942199072787'), Decimal('51.51912122045602')], [Decimal('5.97897402190174'), Decimal('51.519135261536135')], [Decimal('5.979001702402638'), Decimal('51.51916313044837')], [Decimal('5.979015786946229'), Decimal('51.51919471773031')], [Decimal('5.979020071895229'), Decimal('51.519223927694654')], [Decimal('5.979014461839677'), Decimal('51.51924343492792')]], [[Decimal('5.978942199072787'), Decimal('51.51912122045602')], [Decimal('5.979226543949531'), Decimal('51.518700018617565')], [Decimal('5.979439134138488'), Decimal('51.51842927555684')], [Decimal('5.979760764946663'), Decimal('51.517681570604')], [Decimal('5.979788757821533'), Decimal('51.517618506703975')]])" self.assertEquals(r, repr(g)) self.assertEquals(eval(r), g)
def parseQueryResponse(self, body): try: parsed = loads(body, parse_float=Decimal) base = parsed['@context']['@base'] results = [] for feature in parsed['features']: geometries = feature['geometry']['geometries'] properties = feature['properties'] hgType = properties.get('type') if not hgType: continue pits = [] for pit in properties['pits']: pit['@base'] = base pit['@id'] = base + pit['@id'] geometryIndex = pit['geometryIndex'] pit['geometry'] = Geometry.fromGeoDict(geometries[geometryIndex]) if geometryIndex > -1 else None pits.append(pit) results.append((hgType, pits)) return results except: # print_exc() print 'response body', body import sys; sys.stdout.flush() raise
def testPointAsWkt(self): g = Geometry.fromGeoDict({"type": "Point", "coordinates": (5.97978875782, 51.5176185067)}) self.assertEquals("POINT(5.97978875782 51.5176185067)", g.asWkt()) self.assertEquals(g, Geometry.parseWkt(g.asWkt()))
def testPointFromGeoDict(self): json = """{"type":"Point","coordinates":[5.976364581846588,51.52243586973127]}""" parsed = loads(json, parse_float=Decimal) g = Geometry.fromGeoDict(parsed) self.assertEquals(Point(Decimal("5.976364581846588"), Decimal("51.52243586973127")), g) self.assertEquals("Point(Decimal('5.976364581846588'), Decimal('51.52243586973127'))", repr(g))
def testAnnotationFromPit(self): pitToAnnotation = PitToAnnotation(searchApiBaseUrl="http://example.org/search") pit = {'@id': 'nwb/venray-leunseweg', 'data': {'woonplaatsnaam': 'Venray'}, 'type': 'hg:Street', 'name': "Leunseweg", 'geometry': Geometry.fromGeoDict({'type':'MultiLineString', 'coordinates': [[[5.976364581846588,51.52243586973127],[5.977570822531698,51.521009542433255],[5.977641926636947,51.520937272278]],[[5.977641926636947,51.520937272278],[5.9779252893052455,51.52056729706881],[5.978463420127178,51.519845466966835]],[[5.978810297575312,51.51930414638479],[5.978780974683683,51.519300636494314],[5.978753517554276,51.51929103170512],[5.978725963940384,51.519272905985616],[5.978708102058019,51.51925108169847],[5.9786942063007675,51.51923287779468],[5.978688040122361,51.51920855828437],[5.9786858271487935,51.51918908170666],[5.97869714389736,51.519158579206554]],[[5.978463420127178,51.519845466966835],[5.978689959483037,51.51953869936622],[5.97876059153952,51.5194304755717],[5.978810297575312,51.51930414638479]],[[5.978942199072787,51.51912122045602],[5.97897402190174,51.519135261536135],[5.979001702402638,51.51916313044837],[5.979015786946229,51.51919471773031],[5.979020071895229,51.519223927694654],[5.979014461839677,51.51924343492792]],[[5.978942199072787,51.51912122045602],[5.979226543949531,51.518700018617565],[5.979439134138488,51.51842927555684],[5.979760764946663,51.517681570604],[5.979788757821533,51.517618506703975]]]})} annotation = pitToAnnotation.toAnnotation(pit=pit, targetUri='the:uri', query="Leunseweg, Leunen, Venray") self.assertEquals('the:uri', xpathFirst(annotation, '/rdf:RDF/oa:Annotation/oa:hasTarget/@rdf:resource')) self.assertEquals('http://data.digitalecollectie.nl/ns/oa#erfGeoEnriching', xpathFirst(annotation, '/rdf:RDF/oa:Annotation/oa:motivatedBy/@rdf:resource')) self.assertEquals("http://data.digitalecollectie.nl/id/digitalecollectie", xpathFirst(annotation, '/rdf:RDF/oa:Annotation/oa:annotatedBy/@rdf:resource')) self.assertEquals('http://example.org/search?q=Leunseweg%2C+Leunen%2C+Venray', xpathFirst(annotation, '/rdf:RDF/oa:Annotation/dcterms:source/@rdf:resource')) annotationBody = xpathFirst(annotation, '/rdf:RDF/oa:Annotation/oa:hasBody/rdf:Description') placeInTime = xpathFirst(annotationBody, 'dcterms:spatial/hg:PlaceInTime') self.assertEquals("nwb/venray-leunseweg", xpathFirst(placeInTime, '@rdf:about')) self.assertEquals("http://schema.histograph.io/#Street", xpathFirst(placeInTime, 'rdf:type/@rdf:resource')) self.assertEquals('Leunseweg', xpathFirst(placeInTime, 'rdfs:label/text()')) geometry = xpathFirst(placeInTime, 'geos:hasGeometry/rdf:Description/geos:asWKT/text()') self.assertTrue(geometry.startswith('MULTILINESTRING((5.97'), geometry) self.assertEquals('Venray', xpathFirst(placeInTime, 'dcterms:isPartOf/hg:Place/rdfs:label/text()'))