#!/usr/bin/env python # -*- coding: utf-8 -*- from __future__ import print_function import glob import os from nose.tools import eq_, raises from nose.plugins.skip import SkipTest import mapnik from .utilities import execution_path default_logging_severity = mapnik.logger.get_severity() def setup(): # make the tests silent since we intentially test error conditions that # are noisy mapnik.logger.set_severity(getattr(mapnik.severity_type, "None")) # All of the paths used are relative, if we run the tests # from another directory we need to chdir() os.chdir(execution_path('.')) def teardown(): mapnik.logger.set_severity(default_logging_severity) if 'csv' in mapnik.DatasourceCache.plugin_names(): def get_csv_ds(filename): if not os.path.exists('../data/csv/'): raise SkipTest return mapnik.Datasource( type='csv', file=os.path.join('../data/csv/', filename)) def test_broken_files(visual=False): if not os.path.exists('../data/csv/'): raise SkipTest broken = glob.glob("../data/csv/fails/*.*") broken.extend(glob.glob("../data/csv/warns/*.*")) # Add a filename that doesn't exist broken.append("../data/csv/fails/does_not_exist.csv") for csv in broken: if visual: try: mapnik.Datasource(type='csv', file=csv, strict=True) print('\x1b[33mfailed: should have thrown\x1b[0m', csv) except Exception: print('\x1b[1;32m✓ \x1b[0m', csv) def test_good_files(visual=False): if not os.path.exists('../data/csv/'): raise SkipTest good_files = glob.glob("../data/csv/*.*") good_files.extend(glob.glob("../data/csv/warns/*.*")) ignorable = os.path.join('..', 'data', 'csv', 'long_lat.vrt') good_files.remove(ignorable) for f in good_files: if f.endswith('.index'): good_files.remove(f) for csv in good_files: if visual: try: mapnik.Datasource(type='csv', file=csv) print('\x1b[1;32m✓ \x1b[0m', csv) except Exception as e: print( '\x1b[33mfailed: should not have thrown\x1b[0m', csv, str(e)) def test_lon_lat_detection(**kwargs): ds = get_csv_ds('lon_lat.csv') eq_(len(ds.fields()), 2) eq_(ds.fields(), ['lon', 'lat']) eq_(ds.field_types(), ['int', 'int']) query = mapnik.Query(ds.envelope()) for fld in ds.fields(): query.add_property_name(fld) fs = ds.features(query) desc = ds.describe() eq_(desc['geometry_type'], mapnik.DataGeometryType.Point) feat = fs.next() attr = {'lon': 0, 'lat': 0} eq_(feat.attributes, attr) def test_lng_lat_detection(**kwargs): ds = get_csv_ds('lng_lat.csv') eq_(len(ds.fields()), 2) eq_(ds.fields(), ['lng', 'lat']) eq_(ds.field_types(), ['int', 'int']) query = mapnik.Query(ds.envelope()) for fld in ds.fields(): query.add_property_name(fld) fs = ds.features(query) desc = ds.describe() eq_(desc['geometry_type'], mapnik.DataGeometryType.Point) feat = fs.next() attr = {'lng': 0, 'lat': 0} eq_(feat.attributes, attr) def test_type_detection(**kwargs): ds = get_csv_ds('nypd.csv') eq_(ds.fields(), ['Precinct', 'Phone', 'Address', 'City', 'geo_longitude', 'geo_latitude', 'geo_accuracy']) eq_(ds.field_types(), ['str', 'str', 'str', 'str', 'float', 'float', 'str']) feat = ds.featureset().next() attr = { 'City': u'New York, NY', 'geo_accuracy': u'house', 'Phone': u'(212) 334-0711', 'Address': u'19 Elizabeth Street', 'Precinct': u'5th Precinct', 'geo_longitude': -70, 'geo_latitude': 40} eq_(feat.attributes, attr) eq_(len(list(ds.all_features())), 2) desc = ds.describe() eq_(desc['geometry_type'], mapnik.DataGeometryType.Point) eq_(desc['name'], 'csv') eq_(desc['type'], mapnik.DataType.Vector) eq_(desc['encoding'], 'utf-8') def test_skipping_blank_rows(**kwargs): ds = get_csv_ds('blank_rows.csv') eq_(ds.fields(), ['x', 'y', 'name']) eq_(ds.field_types(), ['int', 'int', 'str']) eq_(len(list(ds.all_features())), 2) desc = ds.describe() eq_(desc['geometry_type'], mapnik.DataGeometryType.Point) eq_(desc['name'], 'csv') eq_(desc['type'], mapnik.DataType.Vector) eq_(desc['encoding'], 'utf-8') def test_empty_rows(**kwargs): ds = get_csv_ds('empty_rows.csv') eq_(len(ds.fields()), 10) eq_(len(ds.field_types()), 10) eq_(ds.fields(), ['x', 'y', 'text', 'date', 'integer', 'boolean', 'float', 'time', 'datetime', 'empty_column']) eq_(ds.field_types(), ['int', 'int', 'str', 'str', 'int', 'bool', 'float', 'str', 'str', 'str']) fs = ds.featureset() attr = { 'x': 0, 'empty_column': u'', 'text': u'a b', 'float': 1.0, 'datetime': u'1971-01-01T04:14:00', 'y': 0, 'boolean': True, 'time': u'04:14:00', 'date': u'1971-01-01', 'integer': 40} first = True for feat in fs: if first: first = False eq_(feat.attributes, attr) eq_(len(feat), 10) eq_(feat['empty_column'], u'') desc = ds.describe() eq_(desc['geometry_type'], mapnik.DataGeometryType.Point) eq_(desc['name'], 'csv') eq_(desc['type'], mapnik.DataType.Vector) eq_(desc['encoding'], 'utf-8') def test_slashes(**kwargs): ds = get_csv_ds('has_attributes_with_slashes.csv') eq_(len(ds.fields()), 3) fs = list(ds.all_features()) eq_(fs[0].attributes, {'x': 0, 'y': 0, 'name': u'a/a'}) eq_(fs[1].attributes, {'x': 1, 'y': 4, 'name': u'b/b'}) eq_(fs[2].attributes, {'x': 10, 'y': 2.5, 'name': u'c/c'}) desc = ds.describe() eq_(desc['geometry_type'], mapnik.DataGeometryType.Point) eq_(desc['name'], 'csv') eq_(desc['type'], mapnik.DataType.Vector) eq_(desc['encoding'], 'utf-8') def test_wkt_field(**kwargs): ds = get_csv_ds('wkt.csv') eq_(len(ds.fields()), 1) eq_(ds.fields(), ['type']) eq_(ds.field_types(), ['str']) fs = list(ds.all_features()) # eq_(len(fs[0].geometries()),1) eq_(fs[0].geometry.type(), mapnik.GeometryType.Point) # eq_(len(fs[1].geometries()),1) eq_(fs[1].geometry.type(), mapnik.GeometryType.LineString) # eq_(len(fs[2].geometries()),1) eq_(fs[2].geometry.type(), mapnik.GeometryType.Polygon) # eq_(len(fs[3].geometries()),1) # one geometry, two parts eq_(fs[3].geometry.type(), mapnik.GeometryType.Polygon) # eq_(len(fs[4].geometries()),4) eq_(fs[4].geometry.type(), mapnik.GeometryType.MultiPoint) # eq_(len(fs[5].geometries()),2) eq_(fs[5].geometry.type(), mapnik.GeometryType.MultiLineString) # eq_(len(fs[6].geometries()),2) eq_(fs[6].geometry.type(), mapnik.GeometryType.MultiPolygon) # eq_(len(fs[7].geometries()),2) eq_(fs[7].geometry.type(), mapnik.GeometryType.MultiPolygon) desc = ds.describe() eq_(desc['geometry_type'], mapnik.DataGeometryType.Collection) eq_(desc['name'], 'csv') eq_(desc['type'], mapnik.DataType.Vector) eq_(desc['encoding'], 'utf-8') def test_handling_of_missing_header(**kwargs): ds = get_csv_ds('missing_header.csv') eq_(len(ds.fields()), 6) eq_(ds.fields(), ['one', 'two', 'x', 'y', '_4', 'aftermissing']) fs = ds.featureset() feat = fs.next() eq_(feat['_4'], 'missing') desc = ds.describe() eq_(desc['geometry_type'], mapnik.DataGeometryType.Point) eq_(desc['name'], 'csv') eq_(desc['type'], mapnik.DataType.Vector) eq_(desc['encoding'], 'utf-8') def test_handling_of_headers_that_are_numbers(**kwargs): ds = get_csv_ds('numbers_for_headers.csv') eq_(len(ds.fields()), 5) eq_(ds.fields(), ['x', 'y', '1990', '1991', '1992']) fs = ds.featureset() feat = fs.next() eq_(feat['x'], 0) eq_(feat['y'], 0) eq_(feat['1990'], 1) eq_(feat['1991'], 2) eq_(feat['1992'], 3) eq_(mapnik.Expression("[1991]=2").evaluate(feat), True) def test_quoted_numbers(**kwargs): ds = get_csv_ds('points.csv') eq_(len(ds.fields()), 6) eq_(ds.fields(), ['lat', 'long', 'name', 'nr', 'color', 'placements']) fs = list(ds.all_features()) eq_(fs[0]['placements'], "N,S,E,W,SW,10,5") eq_(fs[1]['placements'], "N,S,E,W,SW,10,5") eq_(fs[2]['placements'], "N,S,E,W,SW,10,5") eq_(fs[3]['placements'], "N,S,E,W,SW,10,5") eq_(fs[4]['placements'], "N,S,E,W,SW,10,5") desc = ds.describe() eq_(desc['geometry_type'], mapnik.DataGeometryType.Point) eq_(desc['name'], 'csv') eq_(desc['type'], mapnik.DataType.Vector) eq_(desc['encoding'], 'utf-8') def test_reading_windows_newlines(**kwargs): ds = get_csv_ds('windows_newlines.csv') eq_(len(ds.fields()), 3) feats = list(ds.all_features()) eq_(len(feats), 1) fs = ds.featureset() feat = fs.next() eq_(feat['x'], 1) eq_(feat['y'], 10) eq_(feat['z'], 9999.9999) desc = ds.describe() eq_(desc['geometry_type'], mapnik.DataGeometryType.Point) eq_(desc['name'], 'csv') eq_(desc['type'], mapnik.DataType.Vector) eq_(desc['encoding'], 'utf-8') def test_reading_mac_newlines(**kwargs): ds = get_csv_ds('mac_newlines.csv') eq_(len(ds.fields()), 3) feats = list(ds.all_features()) eq_(len(feats), 1) fs = ds.featureset() feat = fs.next() eq_(feat['x'], 1) eq_(feat['y'], 10) eq_(feat['z'], 9999.9999) desc = ds.describe() eq_(desc['geometry_type'], mapnik.DataGeometryType.Point) eq_(desc['name'], 'csv') eq_(desc['type'], mapnik.DataType.Vector) eq_(desc['encoding'], 'utf-8') def check_newlines(filename): ds = get_csv_ds(filename) eq_(len(ds.fields()), 3) feats = list(ds.all_features()) eq_(len(feats), 1) fs = ds.featureset() feat = fs.next() eq_(feat['x'], 0) eq_(feat['y'], 0) eq_(feat['line'], 'many\n lines\n of text\n with unix newlines') desc = ds.describe() eq_(desc['geometry_type'], mapnik.DataGeometryType.Point) eq_(desc['name'], 'csv') eq_(desc['type'], mapnik.DataType.Vector) eq_(desc['encoding'], 'utf-8') def test_mixed_mac_unix_newlines(**kwargs): check_newlines('mac_newlines_with_unix_inline.csv') def test_mixed_mac_unix_newlines_escaped(**kwargs): check_newlines('mac_newlines_with_unix_inline_escaped.csv') # To hard to support this case # def test_mixed_unix_windows_newlines(**kwargs): # check_newlines('unix_newlines_with_windows_inline.csv') # To hard to support this case # def test_mixed_unix_windows_newlines_escaped(**kwargs): # check_newlines('unix_newlines_with_windows_inline_escaped.csv') def test_mixed_windows_unix_newlines(**kwargs): check_newlines('windows_newlines_with_unix_inline.csv') def test_mixed_windows_unix_newlines_escaped(**kwargs): check_newlines('windows_newlines_with_unix_inline_escaped.csv') def test_tabs(**kwargs): ds = get_csv_ds('tabs_in_csv.csv') eq_(len(ds.fields()), 3) eq_(ds.fields(), ['x', 'y', 'z']) fs = ds.featureset() feat = fs.next() eq_(feat['x'], -122) eq_(feat['y'], 48) eq_(feat['z'], 0) desc = ds.describe() eq_(desc['geometry_type'], mapnik.DataGeometryType.Point) eq_(desc['name'], 'csv') eq_(desc['type'], mapnik.DataType.Vector) eq_(desc['encoding'], 'utf-8') def test_separator_pipes(**kwargs): ds = get_csv_ds('pipe_delimiters.csv') eq_(len(ds.fields()), 3) eq_(ds.fields(), ['x', 'y', 'z']) fs = ds.featureset() feat = fs.next() eq_(feat['x'], 0) eq_(feat['y'], 0) eq_(feat['z'], 'hello') desc = ds.describe() eq_(desc['geometry_type'], mapnik.DataGeometryType.Point) eq_(desc['name'], 'csv') eq_(desc['type'], mapnik.DataType.Vector) eq_(desc['encoding'], 'utf-8') def test_separator_semicolon(**kwargs): ds = get_csv_ds('semicolon_delimiters.csv') eq_(len(ds.fields()), 3) eq_(ds.fields(), ['x', 'y', 'z']) fs = ds.featureset() feat = fs.next() eq_(feat['x'], 0) eq_(feat['y'], 0) eq_(feat['z'], 'hello') desc = ds.describe() eq_(desc['geometry_type'], mapnik.DataGeometryType.Point) eq_(desc['name'], 'csv') eq_(desc['type'], mapnik.DataType.Vector) eq_(desc['encoding'], 'utf-8') def test_that_null_and_bool_keywords_are_empty_strings(**kwargs): ds = get_csv_ds('nulls_and_booleans_as_strings.csv') eq_(len(ds.fields()), 4) eq_(ds.fields(), ['x', 'y', 'null', 'boolean']) eq_(ds.field_types(), ['int', 'int', 'str', 'bool']) fs = ds.featureset() feat = fs.next() eq_(feat['x'], 0) eq_(feat['y'], 0) eq_(feat['null'], 'null') eq_(feat['boolean'], True) feat = fs.next() eq_(feat['x'], 0) eq_(feat['y'], 0) eq_(feat['null'], '') eq_(feat['boolean'], False) desc = ds.describe() eq_(desc['geometry_type'], mapnik.DataGeometryType.Point) @raises(RuntimeError) def test_that_nonexistant_query_field_throws(**kwargs): ds = get_csv_ds('lon_lat.csv') eq_(len(ds.fields()), 2) eq_(ds.fields(), ['lon', 'lat']) eq_(ds.field_types(), ['int', 'int']) query = mapnik.Query(ds.envelope()) for fld in ds.fields(): query.add_property_name(fld) # also add an invalid one, triggering throw query.add_property_name('bogus') ds.features(query) def test_that_leading_zeros_mean_strings(**kwargs): ds = get_csv_ds('leading_zeros.csv') eq_(len(ds.fields()), 3) eq_(ds.fields(), ['x', 'y', 'fips']) eq_(ds.field_types(), ['int', 'int', 'str']) fs = ds.featureset() feat = fs.next() eq_(feat['x'], 0) eq_(feat['y'], 0) eq_(feat['fips'], '001') feat = fs.next() eq_(feat['x'], 0) eq_(feat['y'], 0) eq_(feat['fips'], '003') feat = fs.next() eq_(feat['x'], 0) eq_(feat['y'], 0) eq_(feat['fips'], '005') desc = ds.describe() eq_(desc['geometry_type'], mapnik.DataGeometryType.Point) def test_advanced_geometry_detection(**kwargs): ds = get_csv_ds('point_wkt.csv') eq_(ds.describe()['geometry_type'], mapnik.DataGeometryType.Point) ds = get_csv_ds('poly_wkt.csv') eq_(ds.describe()['geometry_type'], mapnik.DataGeometryType.Polygon) ds = get_csv_ds('multi_poly_wkt.csv') eq_(ds.describe()['geometry_type'], mapnik.DataGeometryType.Polygon) ds = get_csv_ds('line_wkt.csv') eq_(ds.describe()['geometry_type'], mapnik.DataGeometryType.LineString) def test_creation_of_csv_from_in_memory_string(**kwargs): csv_string = ''' wkt,Name "POINT (120.15 48.47)","Winthrop, WA" ''' # csv plugin will test lines <= 10 chars for being fully blank ds = mapnik.Datasource(**{"type": "csv", "inline": csv_string}) eq_(ds.describe()['geometry_type'], mapnik.DataGeometryType.Point) fs = ds.featureset() feat = fs.next() eq_(feat['Name'], u"Winthrop, WA") def test_creation_of_csv_from_in_memory_string_with_uft8(**kwargs): csv_string = ''' wkt,Name "POINT (120.15 48.47)","Québec" ''' # csv plugin will test lines <= 10 chars for being fully blank ds = mapnik.Datasource(**{"type": "csv", "inline": csv_string}) eq_(ds.describe()['geometry_type'], mapnik.DataGeometryType.Point) fs = ds.featureset() feat = fs.next() eq_(feat['Name'], u"Québec") def validate_geojson_datasource(ds): eq_(len(ds.fields()), 1) eq_(ds.fields(), ['type']) eq_(ds.field_types(), ['str']) fs = list(ds.all_features()) # eq_(len(fs[0].geometries()),1) eq_(fs[0].geometry.type(), mapnik.GeometryType.Point) # eq_(len(fs[1].geometries()),1) eq_(fs[1].geometry.type(), mapnik.GeometryType.LineString) # eq_(len(fs[2].geometries()),1) eq_(fs[2].geometry.type(), mapnik.GeometryType.Polygon) # eq_(len(fs[3].geometries()),1) # one geometry, two parts eq_(fs[3].geometry.type(), mapnik.GeometryType.Polygon) # eq_(len(fs[4].geometries()),4) eq_(fs[4].geometry.type(), mapnik.GeometryType.MultiPoint) # eq_(len(fs[5].geometries()),2) eq_(fs[5].geometry.type(), mapnik.GeometryType.MultiLineString) # eq_(len(fs[6].geometries()),2) eq_(fs[6].geometry.type(), mapnik.GeometryType.MultiPolygon) # eq_(len(fs[7].geometries()),2) eq_(fs[7].geometry.type(), mapnik.GeometryType.MultiPolygon) desc = ds.describe() eq_(desc['geometry_type'], mapnik.DataGeometryType.Collection) eq_(desc['name'], 'csv') eq_(desc['type'], mapnik.DataType.Vector) eq_(desc['encoding'], 'utf-8') def test_json_field1(**kwargs): ds = get_csv_ds('geojson_double_quote_escape.csv') validate_geojson_datasource(ds) def test_json_field2(**kwargs): ds = get_csv_ds('geojson_single_quote.csv') validate_geojson_datasource(ds) def test_json_field3(**kwargs): ds = get_csv_ds('geojson_2x_double_quote_filebakery_style.csv') validate_geojson_datasource(ds) def test_that_blank_undelimited_rows_are_still_parsed(**kwargs): ds = get_csv_ds('more_headers_than_column_values.csv') eq_(len(ds.fields()), 0) eq_(ds.fields(), []) eq_(ds.field_types(), []) fs = list(ds.featureset()) eq_(len(fs), 0) desc = ds.describe() eq_(desc['geometry_type'], None) @raises(RuntimeError) def test_that_fewer_headers_than_rows_throws(**kwargs): # this has invalid header # so throw get_csv_ds('more_column_values_than_headers.csv') def test_that_feature_id_only_incremented_for_valid_rows(**kwargs): if not os.path.exists(os.path.join('../data/csv/warns', 'feature_id_counting.csv')): raise SkipTest ds = mapnik.Datasource(type='csv', file=os.path.join('../data/csv/warns', 'feature_id_counting.csv')) eq_(len(ds.fields()), 3) eq_(ds.fields(), ['x', 'y', 'id']) eq_(ds.field_types(), ['int', 'int', 'int']) fs = ds.featureset() # first feat = fs.next() eq_(feat['x'], 0) eq_(feat['y'], 0) eq_(feat['id'], 1) # second, should have skipped bogus one feat = fs.next() eq_(feat['x'], 0) eq_(feat['y'], 0) eq_(feat['id'], 2) desc = ds.describe() eq_(desc['geometry_type'], mapnik.DataGeometryType.Point) eq_(len(list(ds.all_features())), 2) def test_dynamically_defining_headers1(**kwargs): if not os.path.exists(os.path.join('../data/csv/fails', 'needs_headers_two_lines.csv')): raise SkipTest ds = mapnik.Datasource(type='csv', file=os.path.join( '../data/csv/fails', 'needs_headers_two_lines.csv'), headers='x,y,name') eq_(len(ds.fields()), 3) eq_(ds.fields(), ['x', 'y', 'name']) eq_(ds.field_types(), ['int', 'int', 'str']) fs = ds.featureset() feat = fs.next() eq_(feat['x'], 0) eq_(feat['y'], 0) eq_(feat['name'], 'data_name') desc = ds.describe() eq_(desc['geometry_type'], mapnik.DataGeometryType.Point) eq_(len(list(ds.all_features())), 2) def test_dynamically_defining_headers2(**kwargs): if not os.path.exists(os.path.join('../data/csv/fails', 'needs_headers_one_line.csv')): raise SkipTest ds = mapnik.Datasource(type='csv', file=os.path.join( '../data/csv/fails', 'needs_headers_one_line.csv'), headers='x,y,name') eq_(len(ds.fields()), 3) eq_(ds.fields(), ['x', 'y', 'name']) eq_(ds.field_types(), ['int', 'int', 'str']) fs = ds.featureset() feat = fs.next() eq_(feat['x'], 0) eq_(feat['y'], 0) eq_(feat['name'], 'data_name') desc = ds.describe() eq_(desc['geometry_type'], mapnik.DataGeometryType.Point) eq_(len(list(ds.all_features())), 1) def test_dynamically_defining_headers3(**kwargs): if not os.path.exists(os.path.join('../data/csv/fails', 'needs_headers_one_line_no_newline.csv')): raise SkipTest ds = mapnik.Datasource(type='csv', file=os.path.join( '../data/csv/fails', 'needs_headers_one_line_no_newline.csv'), headers='x,y,name') eq_(len(ds.fields()), 3) eq_(ds.fields(), ['x', 'y', 'name']) eq_(ds.field_types(), ['int', 'int', 'str']) fs = ds.featureset() feat = fs.next() eq_(feat['x'], 0) eq_(feat['y'], 0) eq_(feat['name'], 'data_name') desc = ds.describe() eq_(desc['geometry_type'], mapnik.DataGeometryType.Point) eq_(len(list(ds.all_features())), 1) def test_that_64bit_int_fields_work(**kwargs): ds = get_csv_ds('64bit_int.csv') eq_(len(ds.fields()), 3) eq_(ds.fields(), ['x', 'y', 'bigint']) eq_(ds.field_types(), ['int', 'int', 'int']) fs = ds.featureset() feat = fs.next() eq_(feat['bigint'], 2147483648) feat = fs.next() eq_(feat['bigint'], 9223372036854775807) eq_(feat['bigint'], 0x7FFFFFFFFFFFFFFF) desc = ds.describe() eq_(desc['geometry_type'], mapnik.DataGeometryType.Point) eq_(len(list(ds.all_features())), 2) def test_various_number_types(**kwargs): ds = get_csv_ds('number_types.csv') eq_(len(ds.fields()), 3) eq_(ds.fields(), ['x', 'y', 'floats']) eq_(ds.field_types(), ['int', 'int', 'float']) fs = ds.featureset() feat = fs.next() eq_(feat['floats'], .0) feat = fs.next() eq_(feat['floats'], +.0) feat = fs.next() eq_(feat['floats'], 1e-06) feat = fs.next() eq_(feat['floats'], -1e-06) feat = fs.next() eq_(feat['floats'], 0.000001) feat = fs.next() eq_(feat['floats'], 1.234e+16) feat = fs.next() eq_(feat['floats'], 1.234e+16) desc = ds.describe() eq_(desc['geometry_type'], mapnik.DataGeometryType.Point) eq_(len(list(ds.all_features())), 8) def test_manually_supplied_extent(**kwargs): csv_string = ''' wkt,Name ''' ds = mapnik.Datasource( **{"type": "csv", "extent": "-180,-90,180,90", "inline": csv_string}) b = ds.envelope() eq_(b.minx, -180) eq_(b.miny, -90) eq_(b.maxx, 180) eq_(b.maxy, 90) def test_inline_geojson(**kwargs): csv_string = "geojson\n'{\"coordinates\":[-92.22568,38.59553],\"type\":\"Point\"}'" ds = mapnik.Datasource(**{"type": "csv", "inline": csv_string}) eq_(len(ds.fields()), 0) eq_(ds.fields(), []) # FIXME - re-enable after https://github.com/mapnik/mapnik/issues/2319 is fixed #fs = ds.featureset() #feat = fs.next() # eq_(feat.num_geometries(),1) if __name__ == "__main__": setup() [eval(run)(visual=True) for run in dir() if 'test_' in run]