def createAlgsList(self):
        # First we populate the list of algorithms with those created
        # extending GeoAlgorithm directly (those that execute GDAL
        # using the console)
        self.preloadedAlgs = [nearblack(), information(), warp(), translate(),
            rgb2pct(), pct2rgb(), merge(), polygonize(), gdaladdo(),
            ClipByExtent(), ClipByMask(), contour(), rasterize(), proximity(),
            sieve(), fillnodata(), ExtractProjection(), gdal2xyz(),
            hillshade(), slope(), aspect(), tri(), tpi(), roughness(),
            ColorRelief(), GridInvDist(), GridAverage(), GridNearest(),
            GridDataMetrics(),
            # ----- OGR tools -----
            OgrInfo(), Ogr2Ogr(), OgrSql(),
            ]

        # And then we add those that are created as python scripts
        folder = self.scriptsFolder()
        if os.path.exists(folder):
            for descriptionFile in os.listdir(folder):
                if descriptionFile.endswith('py'):
                    try:
                        fullpath = os.path.join(self.scriptsFolder(),
                                descriptionFile)
                        alg = GdalScriptAlgorithm(fullpath)
                        self.preloadedAlgs.append(alg)
                    except WrongScriptException, e:
                        ProcessingLog.addToLog(ProcessingLog.LOG_ERROR, e.msg)
    def createAlgsList(self):
        # First we populate the list of algorithms with those created
        # extending GeoAlgorithm directly (those that execute GDAL
        # using the console)
        self.preloadedAlgs = [nearblack(), information(), warp(), translate(),
                              rgb2pct(), pct2rgb(), merge(), buildvrt(), polygonize(), gdaladdo(),
                              ClipByExtent(), ClipByMask(), contour(), rasterize(), proximity(),
                              sieve(), fillnodata(), ExtractProjection(), gdal2xyz(),
                              hillshade(), slope(), aspect(), tri(), tpi(), roughness(),
                              ColorRelief(), GridInvDist(), GridAverage(), GridNearest(),
                              GridDataMetrics(), gdaltindex(), gdalcalc(), rasterize_over(),
                              # ----- OGR tools -----
                              OgrInfo(), Ogr2Ogr(), Ogr2OgrClip(), Ogr2OgrClipExtent(),
                              Ogr2OgrToPostGis(), Ogr2OgrToPostGisList(), Ogr2OgrPointsOnLines(),
                              Ogr2OgrBuffer(), Ogr2OgrDissolve(), Ogr2OgrOneSideBuffer(),
                              Ogr2OgrTableToPostGisList(), OgrSql(),
                              ]

        # And then we add those that are created as python scripts
        folder = self.scriptsFolder()
        if os.path.exists(folder):
            for descriptionFile in os.listdir(folder):
                if descriptionFile.endswith('py'):
                    try:
                        fullpath = os.path.join(self.scriptsFolder(),
                                                descriptionFile)
                        alg = GdalScriptAlgorithm(fullpath)
                        self.preloadedAlgs.append(alg)
                    except WrongScriptException as e:
                        ProcessingLog.addToLog(ProcessingLog.LOG_ERROR, e.msg)
Beispiel #3
0
    def proximity_output(self):
        for r in range(len(self.results)):

            result=self.results[r]
            output = proximity(result[1], result[0])
            print("\nQuery \"" + result[0] + "\"" + " in text " + result[1])
            print("\nReturn Value: ", output)
            print("="*50 )
Beispiel #4
0
    def test_proximity(self):
        for r in range(len(self.results)):

            result=self.results[r]

            with self.subTest(msg="test_proximity of "+result[0]+" in "+result[1] ):

                output=proximity(result[1],result[0])

                self.assertEqual(output[0], result[2])
 def createAlgsList(self):
     # First we populate the list of algorithms with those created
     # extending GeoAlgorithm directly (those that execute GDAL
     # using the console)
     self.preloadedAlgs = [
         nearblack(),
         information(),
         warp(),
         translate(),
         rgb2pct(),
         pct2rgb(),
         merge(),
         buildvrt(),
         polygonize(),
         gdaladdo(),
         ClipByExtent(),
         ClipByMask(),
         contour(),
         rasterize(),
         proximity(),
         sieve(),
         fillnodata(),
         ExtractProjection(),
         gdal2xyz(),
         hillshade(),
         slope(),
         aspect(),
         tri(),
         tpi(),
         roughness(),
         ColorRelief(),
         GridInvDist(),
         GridAverage(),
         GridNearest(),
         GridDataMetrics(),
         gdaltindex(),
         gdalcalc(),
         rasterize_over(),
         retile(),
         gdal2tiles(),
         # ----- OGR tools -----
         OgrInfo(),
         Ogr2Ogr(),
         Ogr2OgrClip(),
         Ogr2OgrClipExtent(),
         Ogr2OgrToPostGis(),
         Ogr2OgrToPostGisList(),
         Ogr2OgrPointsOnLines(),
         Ogr2OgrBuffer(),
         Ogr2OgrDissolve(),
         Ogr2OgrOneSideBuffer(),
         Ogr2OgrTableToPostGisList(),
         OgrSql(),
     ]
 def createAlgsList(self):
     # First we populate the list of algorithms with those created
     # extending GeoAlgorithm directly (those that execute GDAL
     # using the console)
     self.preloadedAlgs = [
         nearblack(),
         information(),
         warp(),
         translate(),
         rgb2pct(),
         pct2rgb(),
         merge(),
         buildvrt(),
         polygonize(),
         gdaladdo(),
         ClipByExtent(),
         ClipByMask(),
         contour(),
         rasterize(),
         proximity(),
         sieve(),
         fillnodata(),
         ExtractProjection(),
         gdal2xyz(),
         hillshade(),
         slope(),
         aspect(),
         tri(),
         tpi(),
         roughness(),
         ColorRelief(),
         GridInvDist(),
         GridAverage(),
         GridNearest(),
         GridDataMetrics(),
         gdaltindex(),
         gdalcalc(),
         rasterize_over(),
         retile(),
         gdal2tiles(),
         # ----- OGR tools -----
         OgrInfo(),
         Ogr2Ogr(),
         Ogr2OgrClip(),
         Ogr2OgrClipExtent(),
         Ogr2OgrToPostGis(),
         Ogr2OgrToPostGisList(),
         Ogr2OgrPointsOnLines(),
         Ogr2OgrBuffer(),
         Ogr2OgrDissolve(),
         Ogr2OgrOneSideBuffer(),
         Ogr2OgrTableToPostGisList(),
         OgrSql(),
     ]
Beispiel #7
0
def on_message(client, userdata, msg):
    global registry, proxRegis
    print(msg.topic + " " + str(msg.payload))

    #parse and save
    #if (msg.topic != info['device_id']):
    try:
        input_data = js.loads(msg.payload)
    except:
        print("load failed")

    print(input_data)
    registry[input_data['device_id']] = input_data['sensors']
    print(input_data['device_id'])
    #publish directly to new id
    client.publish(input_data['device_id'], js.dumps(info))
    addressList = prox.proximity()
    if input_data['device_id'] in addressList:
        proxRegis[input_data['device_id']] = True

    else:
        proxRegis[input_data['device_id']] = False
    print("List if nearby devices \n")
    print(js.dumps(proxRegis, indent=4))
Beispiel #8
0
    return densities


if __name__ == "__main__":
    import pandas as pd
    from rca import rca
    from proximity import proximity

    my_tbl = pd.DataFrame({0: [1, 2], 1: [3, 4], 2: [5, 6]})
    print(my_tbl)

    my_rca = rca(my_tbl, None)
    print(my_rca)

    my_proximity = proximity(my_rca)
    print(my_proximity)

    my_density = density(my_rca, my_proximity)
    print(my_density)

    # zeros and ones
    my_tbl = pd.DataFrame({0: [0, 1], 1: [1, 0], 2: [0, 1]})
    print(my_tbl)

    my_rca = rca(my_tbl, None)
    print(my_rca)

    my_proximity = proximity(my_rca)
    print(my_proximity)