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datasource_test.py
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193 lines (156 loc) · 6.15 KB
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#!/usr/bin/env python
import os
import sys
from itertools import groupby
from nose.tools import eq_, raises
import mapnik
from .utilities import execution_path, run_all
PYTHON3 = sys.version_info[0] == 3
if PYTHON3:
xrange = range
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_that_datasources_exist():
if len(mapnik.DatasourceCache.plugin_names()) == 0:
print('***NOTICE*** - no datasource plugins have been loaded')
# adapted from raster_symboliser_test#test_dataraster_query_point
@raises(RuntimeError)
def test_vrt_referring_to_missing_files():
srs = '+init=epsg:32630'
if 'gdal' in mapnik.DatasourceCache.plugin_names():
lyr = mapnik.Layer('dataraster')
lyr.datasource = mapnik.Gdal(
file='../data/raster/missing_raster.vrt',
band=1,
)
lyr.srs = srs
_map = mapnik.Map(256, 256, srs)
_map.layers.append(lyr)
# center of extent of raster
x, y = 556113.0, 4381428.0 # center of extent of raster
_map.zoom_all()
# Fancy stuff to supress output of error
# open 2 fds
null_fds = [os.open(os.devnull, os.O_RDWR) for x in xrange(2)]
# save the current file descriptors to a tuple
save = os.dup(1), os.dup(2)
# put /dev/null fds on 1 and 2
os.dup2(null_fds[0], 1)
os.dup2(null_fds[1], 2)
# *** run the function ***
try:
# Should RuntimeError here
list(_map.query_point(0, x, y))
finally:
# restore file descriptors so I can print the results
os.dup2(save[0], 1)
os.dup2(save[1], 2)
# close the temporary fds
os.close(null_fds[0])
os.close(null_fds[1])
def test_field_listing():
if 'shape' in mapnik.DatasourceCache.plugin_names():
ds = mapnik.Shapefile(file='../data/shp/poly.shp')
fields = ds.fields()
eq_(fields, ['AREA', 'EAS_ID', 'PRFEDEA'])
desc = ds.describe()
eq_(desc['geometry_type'], mapnik.DataGeometryType.Polygon)
eq_(desc['name'], 'shape')
eq_(desc['type'], mapnik.DataType.Vector)
eq_(desc['encoding'], 'utf-8')
def test_total_feature_count_shp():
if 'shape' in mapnik.DatasourceCache.plugin_names():
ds = mapnik.Shapefile(file='../data/shp/poly.shp')
features = ds.all_features()
num_feats = len(list(features))
eq_(num_feats, 10)
def test_total_feature_count_json():
if 'ogr' in mapnik.DatasourceCache.plugin_names():
ds = mapnik.Ogr(file='../data/json/points.geojson', layer_by_index=0)
desc = ds.describe()
eq_(desc['geometry_type'], mapnik.DataGeometryType.Point)
eq_(desc['name'], 'ogr')
eq_(desc['type'], mapnik.DataType.Vector)
eq_(desc['encoding'], 'utf-8')
features = ds.all_features()
num_feats = len(list(features))
eq_(num_feats, 5)
def test_sqlite_reading():
if 'sqlite' in mapnik.DatasourceCache.plugin_names():
ds = mapnik.SQLite(
file='../data/sqlite/world.sqlite',
table_by_index=0)
desc = ds.describe()
eq_(desc['geometry_type'], mapnik.DataGeometryType.Polygon)
eq_(desc['name'], 'sqlite')
eq_(desc['type'], mapnik.DataType.Vector)
eq_(desc['encoding'], 'utf-8')
features = ds.all_features()
num_feats = len(list(features))
eq_(num_feats, 245)
def test_reading_json_from_string():
with open('../data/json/points.geojson', 'r') as f:
json = f.read()
if 'ogr' in mapnik.DatasourceCache.plugin_names():
ds = mapnik.Ogr(file=json, layer_by_index=0)
features = ds.all_features()
num_feats = len(list(features))
eq_(num_feats, 5)
def test_feature_envelope():
if 'shape' in mapnik.DatasourceCache.plugin_names():
ds = mapnik.Shapefile(file='../data/shp/poly.shp')
features = ds.all_features()
for feat in features:
env = feat.envelope()
contains = ds.envelope().contains(env)
eq_(contains, True)
intersects = ds.envelope().contains(env)
eq_(intersects, True)
def test_feature_attributes():
if 'shape' in mapnik.DatasourceCache.plugin_names():
ds = mapnik.Shapefile(file='../data/shp/poly.shp')
features = list(ds.all_features())
feat = features[0]
attrs = {'PRFEDEA': u'35043411', 'EAS_ID': 168, 'AREA': 215229.266}
eq_(feat.attributes, attrs)
eq_(ds.fields(), ['AREA', 'EAS_ID', 'PRFEDEA'])
eq_(ds.field_types(), ['float', 'int', 'str'])
def test_ogr_layer_by_sql():
if 'ogr' in mapnik.DatasourceCache.plugin_names():
ds = mapnik.Ogr(file='../data/shp/poly.shp',
layer_by_sql='SELECT * FROM poly WHERE EAS_ID = 168')
features = ds.all_features()
num_feats = len(list(features))
eq_(num_feats, 1)
def test_hit_grid():
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 = mapnik.Map(256, 256)
try:
mapnik.load_map(m, '../data/good_maps/agg_poly_gamma_map.xml')
m.zoom_all()
join_field = 'NAME'
fg = [] # feature grid
for y in xrange(0, 256, 4):
for x in xrange(0, 256, 4):
featureset = m.query_map_point(0, x, y)
added = False
for feature in featureset:
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:')
except RuntimeError as e:
# only test datasources that we have installed
if not 'Could not create datasource' in str(e):
raise RuntimeError(str(e))
if __name__ == '__main__':
setup()
exit(run_all(eval(x) for x in dir() if x.startswith("test_")))