#!/usr/bin/env python from nose.tools import * from utilities import execution_path import os, mapnik2 def setup(): # All of the paths used are relative, if we run the tests # from another directory we need to chdir() os.chdir(execution_path('.')) def test_field_listing(): lyr = mapnik2.Layer('test') lyr.datasource = mapnik2.Shapefile(file='../data/shp/poly.shp') fields = lyr.datasource.fields() eq_(fields, ['AREA', 'EAS_ID', 'PRFEDEA']) def test_total_feature_count_shp(): lyr = mapnik2.Layer('test') lyr.datasource = mapnik2.Shapefile(file='../data/shp/poly.shp') features = lyr.datasource.all_features() num_feats = len(features) eq_(num_feats, 10) def test_total_feature_count_json(): lyr = mapnik2.Layer('test') lyr.datasource = mapnik2.Ogr(file='../data/json/points.json',layer_by_index=0) features = lyr.datasource.all_features() num_feats = len(features) eq_(num_feats, 5) def test_reading_json_from_string(): json = open('../data/json/points.json','r').read() lyr = mapnik2.Layer('test') lyr.datasource = mapnik2.Ogr(file=json,layer_by_index=0) features = lyr.datasource.all_features() num_feats = len(features) eq_(num_feats, 5) def test_feature_envelope(): lyr = mapnik2.Layer('test') lyr.datasource = mapnik2.Shapefile(file='../data/shp/poly.shp') features = lyr.datasource.all_features() for feat in features: env = feat.envelope() contains = lyr.envelope().contains(env) eq_(contains, True) intersects = lyr.envelope().contains(env) eq_(intersects, True) def test_feature_attributes(): lyr = mapnik2.Layer('test') lyr.datasource = mapnik2.Shapefile(file='../data/shp/poly.shp') features = lyr.datasource.all_features() feat = features[0] attrs = {'PRFEDEA': u'35043411', 'EAS_ID': 168, 'AREA': 215229.266} eq_(feat.attributes, attrs) eq_(lyr.datasource.fields(),['AREA', 'EAS_ID', 'PRFEDEA']) eq_(lyr.datasource.field_types(),['float','int','str']) def test_ogr_layer_by_sql(): lyr = mapnik2.Layer('test') lyr.datasource = mapnik2.Ogr(file='../data/shp/poly.shp', layer_by_sql='SELECT * FROM poly WHERE EAS_ID = 168') features = lyr.datasource.all_features() num_feats = len(features) eq_(num_feats, 1) def test_hit_grid(): import os from itertools import groupby def rle_encode(l): """ encode a list of strings with run-length compression """ return ["%d:%s" % (len(list(group)), name) for name, group in groupby(l)] m = mapnik2.Map(256,256); mapnik2.load_map(m,'../data/good_maps/agg_poly_gamma_map.xml'); m.zoom_all() join_field = 'NAME' fg = [] # feature grid for y in range(0, 256, 4): for x in range(0, 256, 4): featureset = m.query_map_point(0,x,y) added = False for feature in featureset.features: fg.append(feature[join_field]) added = True if not added: fg.append('') hit_list = '|'.join(rle_encode(fg)) eq_(hit_list[:16],'730:|2:Greenland') eq_(hit_list[-12:],'1:Chile|812:') if __name__ == '__main__': setup() [eval(run)() for run in dir() if 'test_' in run]