import os import unittest from unittest import skipUnless from django.contrib.gis.gdal import HAS_GDAL from django.contrib.gis.geometry.test_data import get_ds_file, TestDS, TEST_DATA if HAS_GDAL: from django.contrib.gis.gdal import DataSource, Envelope, OGRGeometry, OGRException, OGRIndexError, GDAL_VERSION from django.contrib.gis.gdal.field import OFTReal, OFTInteger, OFTString # List of acceptable data sources. ds_list = ( TestDS('test_point', nfeat=5, nfld=3, geom='POINT', gtype=1, driver='ESRI Shapefile', fields={'dbl': OFTReal, 'int': OFTInteger, 'str': OFTString}, extent=(-1.35011, 0.166623, -0.524093, 0.824508), # Got extent from QGIS srs_wkt='GEOGCS["GCS_WGS_1984",DATUM["WGS_1984",SPHEROID["WGS_1984",6378137,298.257223563]],PRIMEM["Greenwich",0],UNIT["Degree",0.017453292519943295]]', field_values={'dbl': [float(i) for i in range(1, 6)], 'int': list(range(1, 6)), 'str': [str(i) for i in range(1, 6)]}, fids=range(5)), TestDS('test_vrt', ext='vrt', nfeat=3, nfld=3, geom='POINT', gtype='Point25D', driver='VRT', fields={'POINT_X': OFTString, 'POINT_Y': OFTString, 'NUM': OFTString}, # VRT uses CSV, which all types are OFTString. extent=(1.0, 2.0, 100.0, 523.5), # Min/Max from CSV field_values={'POINT_X': ['1.0', '5.0', '100.0'], 'POINT_Y': ['2.0', '23.0', '523.5'], 'NUM': ['5', '17', '23']}, fids=range(1, 4)), TestDS('test_poly', nfeat=3, nfld=3, geom='POLYGON', gtype=3, driver='ESRI Shapefile', fields={'float': OFTReal, 'int': OFTInteger, 'str': OFTString}, extent=(-1.01513, -0.558245, 0.161876, 0.839637), # Got extent from QGIS srs_wkt='GEOGCS["GCS_WGS_1984",DATUM["WGS_1984",SPHEROID["WGS_1984",6378137,298.257223563]],PRIMEM["Greenwich",0],UNIT["Degree",0.017453292519943295]]'), ) bad_ds = (TestDS('foo'),) @skipUnless(HAS_GDAL, "GDAL is required") class DataSourceTest(unittest.TestCase): def test01_valid_shp(self): "Testing valid SHP Data Source files." for source in ds_list: # Loading up the data source ds = DataSource(source.ds) # Making sure the layer count is what's expected (only 1 layer in a SHP file) self.assertEqual(1, len(ds)) # Making sure GetName works self.assertEqual(source.ds, ds.name) # Making sure the driver name matches up self.assertEqual(source.driver, str(ds.driver)) # Making sure indexing works try: ds[len(ds)] except OGRIndexError: pass else: self.fail('Expected an IndexError!') def test02_invalid_shp(self): "Testing invalid SHP files for the Data Source." for source in bad_ds: self.assertRaises(OGRException, DataSource, source.ds) def test03a_layers(self): "Testing Data Source Layers." for source in ds_list: ds = DataSource(source.ds) # Incrementing through each layer, this tests DataSource.__iter__ for layer in ds: # Making sure we get the number of features we expect self.assertEqual(len(layer), source.nfeat) # Making sure we get the number of fields we expect self.assertEqual(source.nfld, layer.num_fields) self.assertEqual(source.nfld, len(layer.fields)) # Testing the layer's extent (an Envelope), and its properties if source.driver == 'VRT' and (GDAL_VERSION >= (1, 7, 0) and GDAL_VERSION < (1, 7, 3)): # There's a known GDAL regression with retrieving the extent # of a VRT layer in versions 1.7.0-1.7.2: # http://trac.osgeo.org/gdal/ticket/3783 pass else: self.assertEqual(True, isinstance(layer.extent, Envelope)) self.assertAlmostEqual(source.extent[0], layer.extent.min_x, 5) self.assertAlmostEqual(source.extent[1], layer.extent.min_y, 5) self.assertAlmostEqual(source.extent[2], layer.extent.max_x, 5) self.assertAlmostEqual(source.extent[3], layer.extent.max_y, 5) # Now checking the field names. flds = layer.fields for f in flds: self.assertEqual(True, f in source.fields) # Negative FIDs are not allowed. self.assertRaises(OGRIndexError, layer.__getitem__, -1) self.assertRaises(OGRIndexError, layer.__getitem__, 50000) if hasattr(source, 'field_values'): fld_names = source.field_values.keys() # Testing `Layer.get_fields` (which uses Layer.__iter__) for fld_name in fld_names: self.assertEqual(source.field_values[fld_name], layer.get_fields(fld_name)) # Testing `Layer.__getitem__`. for i, fid in enumerate(source.fids): feat = layer[fid] self.assertEqual(fid, feat.fid) # Maybe this should be in the test below, but we might as well test # the feature values here while in this loop. for fld_name in fld_names: self.assertEqual(source.field_values[fld_name][i], feat.get(fld_name)) def test03b_layer_slice(self): "Test indexing and slicing on Layers." # Using the first data-source because the same slice # can be used for both the layer and the control values. source = ds_list[0] ds = DataSource(source.ds) sl = slice(1, 3) feats = ds[0][sl] for fld_name in ds[0].fields: test_vals = [feat.get(fld_name) for feat in feats] control_vals = source.field_values[fld_name][sl] self.assertEqual(control_vals, test_vals) def test03c_layer_references(self): """ Ensure OGR objects keep references to the objects they belong to. """ source = ds_list[0] # See ticket #9448. def get_layer(): # This DataSource object is not accessible outside this # scope. However, a reference should still be kept alive # on the `Layer` returned. ds = DataSource(source.ds) return ds[0] # Making sure we can call OGR routines on the Layer returned. lyr = get_layer() self.assertEqual(source.nfeat, len(lyr)) self.assertEqual(source.gtype, lyr.geom_type.num) # Same issue for Feature/Field objects, see #18640 self.assertEqual(str(lyr[0]['str']), "1") def test04_features(self): "Testing Data Source Features." for source in ds_list: ds = DataSource(source.ds) # Incrementing through each layer for layer in ds: # Incrementing through each feature in the layer for feat in layer: # Making sure the number of fields, and the geometry type # are what's expected. self.assertEqual(source.nfld, len(list(feat))) self.assertEqual(source.gtype, feat.geom_type) # Making sure the fields match to an appropriate OFT type. for k, v in source.fields.items(): # Making sure we get the proper OGR Field instance, using # a string value index for the feature. self.assertEqual(True, isinstance(feat[k], v)) # Testing Feature.__iter__ for fld in feat: self.assertEqual(True, fld.name in source.fields.keys()) def test05_geometries(self): "Testing Geometries from Data Source Features." for source in ds_list: ds = DataSource(source.ds) # Incrementing through each layer and feature. for layer in ds: for feat in layer: g = feat.geom # Making sure we get the right Geometry name & type self.assertEqual(source.geom, g.geom_name) self.assertEqual(source.gtype, g.geom_type) # Making sure the SpatialReference is as expected. if hasattr(source, 'srs_wkt'): self.assertEqual( source.srs_wkt, # Depending on lib versions, WGS_84 might be WGS_1984 g.srs.wkt.replace('SPHEROID["WGS_84"', 'SPHEROID["WGS_1984"') ) def test06_spatial_filter(self): "Testing the Layer.spatial_filter property." ds = DataSource(get_ds_file('cities', 'shp')) lyr = ds[0] # When not set, it should be None. self.assertEqual(None, lyr.spatial_filter) # Must be set a/an OGRGeometry or 4-tuple. self.assertRaises(TypeError, lyr._set_spatial_filter, 'foo') # Setting the spatial filter with a tuple/list with the extent of # a buffer centering around Pueblo. self.assertRaises(ValueError, lyr._set_spatial_filter, list(range(5))) filter_extent = (-105.609252, 37.255001, -103.609252, 39.255001) lyr.spatial_filter = (-105.609252, 37.255001, -103.609252, 39.255001) self.assertEqual(OGRGeometry.from_bbox(filter_extent), lyr.spatial_filter) feats = [feat for feat in lyr] self.assertEqual(1, len(feats)) self.assertEqual('Pueblo', feats[0].get('Name')) # Setting the spatial filter with an OGRGeometry for buffer centering # around Houston. filter_geom = OGRGeometry('POLYGON((-96.363151 28.763374,-94.363151 28.763374,-94.363151 30.763374,-96.363151 30.763374,-96.363151 28.763374))') lyr.spatial_filter = filter_geom self.assertEqual(filter_geom, lyr.spatial_filter) feats = [feat for feat in lyr] self.assertEqual(1, len(feats)) self.assertEqual('Houston', feats[0].get('Name')) # Clearing the spatial filter by setting it to None. Now # should indicate that there are 3 features in the Layer. lyr.spatial_filter = None self.assertEqual(3, len(lyr)) def test07_integer_overflow(self): "Testing that OFTReal fields, treated as OFTInteger, do not overflow." # Using *.dbf from Census 2010 TIGER Shapefile for Texas, # which has land area ('ALAND10') stored in a Real field # with no precision. ds = DataSource(os.path.join(TEST_DATA, 'texas.dbf')) feat = ds[0][0] # Reference value obtained using `ogrinfo`. self.assertEqual(676586997978, feat.get('ALAND10'))