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# This is a framework to test GIGS, Geospatial Integrity of geoscience
# software. Which is published by International Association of Oil & Gas
# Producers as a resources for how geospatial software should give consistent
# and expected results.
#
# This could be expanded to be used with other testing frameworks.
#
# - See more at: http://www.iogp.org/Geomatics#2521115-gigs
#
#
# == REQUIREMENTS ==
# - Python 2.7 or 3.3+
# - pyproj (optional but highly recommended) - read TESTNOTES.md
# == TODO list ==
# * Python 3 was not running all the test cases seemingly due to how it uses
# an iterable version of zip. -- FIXED
# * driver for proj4js (javascript)
# - could be written using nodejs using subprocess
# - could use PyExecJS (currently not advanced enough) or PyV8
# * call cs2cs directly
# - WORKING but 2 orders of magnitude slower than pyproj, and
# potentially insecure shelling?
import argparse
import glob
import json
import logging
import os
import platform
import sys
import subprocess
from tempfile import NamedTemporaryFile
# only for debug
# import pdb
try:
import pyproj
except ImportError as e_pyproj:
pass
PY_MAJOR = sys.version_info[0]
PY2 = (PY_MAJOR == 2)
# Python 2/3 Compatibility code ########################################
if PY_MAJOR >= 3:
# list-producing versions of the major Python iterating functions
# lzip acts like Python 2.x zip function.
# taken from Python-Future http://python-future.org/
# future.utils.lzip()
def lzip(*args, **kwargs):
return list(zip(*args, **kwargs))
else:
from __builtin__ import zip as lzip
########################################################################
def list_count_matches(coords, ex_coords, tolerance):
"""
counts coordinates in lists that match and don't match.
assumes that lists are the same length (they should be)
coords - coordinates
ex_cords - expected cooridnate
tolerance - difference allowed between the coordinates
returns tuple (matches, non_matches)
"""
matches, non_matches = 0, 0
iter_ex_coords = iter(ex_coords)
for c in coords:
ex_coord = next(iter_ex_coords)
if match_func(c, ex_coord, tolerance):
matches = matches + 1
else:
non_matches = non_matches + 1
return (matches, non_matches)
def match_func(cor, exc, tolerance):
"""
Check if coordinate matches expected coordinate within a given tolerance.
cor - coordinate
exc - expected coordinate
tolerance - error rate
float coordinate elements will be checked based on this value
list/tuple coordinate elements will be checked based on the
corresponding values
return bool
"""
if len(exc) == 3:
# coordinate triples
coord_diff = abs(cor[0] - exc[0]), abs(cor[1] - exc[1]), abs(cor[2] - exc[2])
if isinstance(tolerance, float):
matching = coord_diff < (tolerance, tolerance, tolerance)
elif isinstance(tolerance, (list, tuple)): # FIXME is list's length atleast 3?
matching = coord_diff < tuple(tolerance)
else:
# assume coordinate pairs
coord_diff = abs(cor[0] - exc[0]), abs(cor[1] - exc[1])
if isinstance(tolerance, float):
matching = coord_diff < (tolerance, tolerance)
elif isinstance(tolerance, (list, tuple)): # FIXME is list's length atleast 2?
matching = coord_diff < tuple(tolerance)
if matching is False:
logging.info('non-match, calculated coordinate: {c1}\n'
'expected coordinate: {c2}\n difference:{res}\n'
'tolerance: {tol}\n'
''.format(c1=cor, c2=exc, res=coord_diff, tol=tolerance))
return matching
# parse multiple tests and call TransformTest
# TODO: needs some awareness of the driver, so driver_info function in
# TransformTest classes can be called, could allow a dummy instance of
# Driver and move all the initization code to another function? Or allow
# dipatch function to check if everything is in order do a transform.
# Not an elegant solution.
class TransformRunner(object):
def __init__(self, fn_pattern, driver, **kwargs):
"""
fn_pattern - file name or file name pattern (example "*.json")
driver - this is the type of driver to run
kwargs - parameters passed to the respective driver TransformTest class
"""
self.driver = driver
json_input = []
if os.path.isfile(fn_pattern):
with open(fn_pattern, 'rt') as fp:
logging.info("Reading json from file '{0}'".format(fn_pattern))
json_dict = json.load(fp, parse_int=float)
json_dict['filename'] = fn_pattern
json_input = [json_dict]
# is this a glob/fnmatch style pattern?
elif '*' in fn_pattern or '?' in fn_pattern:
filename_iter = glob.iglob(fn_pattern)
for filename in filename_iter:
with open(filename, 'rt') as fp:
logging.info("Reading json from file '{0}'".format(filename))
j_input = json.load(fp, parse_int=float)
if isinstance(j_input, dict):
j_input['filename'] = filename
json_input.append(j_input)
elif isinstance(j_input, list):
# FIXME could build a new list with the filename dict
logging.warning("json file is a list, not quite supported - FIXME")
json_input.extend(j_input)
else:
raise ValueError('json input in an unknown type')
else:
raise TypeError('filename_pattern must be a valid filename or pattern')
self.runs = json_input
self.kwargs = kwargs
def dispatch(self):
"""
main loop to run all the tests
"""
total_matches, total_no_matches, success_code = 0, 0, 0
for run in self.runs:
if self.driver == 'pyproj':
trantst = TransformTestPyProj(run, self.kwargs)
elif self.driver == 'cs2cs':
trantst = TransformTestCs2cs(run, self.kwargs)
else:
raise ValueError("driver {0} is not a valid test driver".format(self.driver))
matches, no_matches = trantst.dispatch()
total_matches += matches
total_no_matches += no_matches
success_code += no_matches
return total_matches, total_no_matches, success_code
# parses and runs a single GIGS test case
class TransformTestBase(object):
"""
TransformTest common code for testing framework.
"""
def __init__(self, json_dict, kwargs):
"""
json_dict must dictonary from json
"""
if not isinstance(json_dict, dict): # must be a json dictionary
raise TypeError("json_source must be a dictionary type not {0}"
"".format(type(json_dict)))
# require keys 'coordinates' and 'projections'
if 'coordinates' not in json_dict:
raise KeyError("TransformTest.__init__ requires 'coordinates' key"
" in json source input")
if 'projections' not in json_dict:
raise KeyError("TransformTest.__init__ requires 'projections' key"
" in json source input")
logging.info('Number of coordinate pairs to test: {0}'.format(
len(json_dict['coordinates'])))
self.run_test_args = kwargs.get('test')
# unpack coordinates
self.coords_left, self.coords_right = lzip(*json_dict['coordinates'])
self.testobj = json_dict
def runner_conversion(self, **kwargs):
"""
tests a single conversion
return tuple (num_matches, num_no_matches)
"""
# get tolerance, if not set tolerance to a precise value
tolerances = kwargs.get('tolerances', [0.0000000000001, 0.0000000000001])
test_right = self.transform(self.proj_left, self.proj_right, self.coords_left)
test_left = self.transform(self.proj_right, self.proj_left, self.coords_right)
results1 = list_count_matches(test_right, self.coords_right, tolerances[1])
results2 = list_count_matches(test_left, self.coords_left, tolerances[0])
return (results1[0] + results2[0], results1[1] + results2[1])
def runner_roundtrip(self, **kwargs):
"""
rountrip test using pyproj.
times - number roundtrips to perform
tolerance - TODO explain the structure of why this is a list
return tuple (num_matches, num_no_matches)
"""
times = None
# get variables
times = int(kwargs.get('times'))
tolerances = kwargs.get('tolerances', [0.0000000000001, 0.0000000000001])
# keep the transformations separate, so as to not cross contaminate the
# results.
# process roundtrip for the left coordinates - Test 1
test1_left = self.coords_left
for i in range(times):
test1_right = self.transform(self.proj_left, self.proj_right, test1_left)
test1_left = self.transform(self.proj_right, self.proj_left, test1_right)
# process roundtrip for the right coordinates - Test 2
test2_right = self.coords_right
for i in range(times):
test2_left = self.transform(self.proj_right, self.proj_left, test2_right)
test2_right = self.transform(self.proj_left, self.proj_right, test2_left)
results = (
list_count_matches(test1_right, self.coords_right, tolerances[1]),
list_count_matches(test1_left, self.coords_left, tolerances[0]),
list_count_matches(test2_right, self.coords_right, tolerances[1]),
list_count_matches(test2_left, self.coords_left, tolerances[0])
)
return tuple(sum(x) for x in lzip(*results))
# TODO: Untested. Not useful for GIGS.
def runner_onedirection(self, **kwargs):
"""
Perform a conversion in only one direction, not both. Useful for
testing convergence of a coordinate system.
return tuple (num_matches, num_no_matches)
"""
# get variables
direction = kwargs.get('direction')
# get tolerance, if not set tolerance to a precise value
tolerances = kwargs.get('tolerances', [0.0000000000001, 0.0000000000001])
if direction not in ('left-to-right', 'right-to-left'):
raise ValueError('direction must be left-to-right or right-to-left, not: {0}'.format(direction))
if direction == 'left-to-right':
test_dest_right = self.transform(self.proj_left, self.proj_right, self.coords_left)
results = list_count_matches(test_dest_right, self.coords_right, tolerances[1])
elif direction == 'right-to-left':
test_dest_left = self.transform(self.proj_right, self.proj_left, self.coords_right)
results = list_count_matches(test_dest_left, self.coords_left, tolerances[0])
else:
raise RuntimeError('Unexpected state of value direction "{0}" in runner_onedirection'.format(direction))
return results
# placeholder function
def transform(self, src_crs, dst_crs, coords):
pass
def dispatch(self):
"""
main
"""
matches, no_matches = 0, 0
# convert to tuple
run_tests = self.run_test_args,
if self.run_test_args is None:
run_tests = ('conversion', 'roundtrip')
logging.info('Testing: {0}'.format(self.testobj['description']))
for test in self.testobj['tests']:
m_res, nm_res = None, None
if test['type'] not in run_tests:
# skip test
continue
if test['type'] == 'conversion':
m_res, nm_res = self.runner_conversion(**test)
elif test['type'] == 'roundtrip':
m_res, nm_res = self.runner_roundtrip(**test)
if nm_res == 0:
logging.info(" {0}... All {1} match.".format(test['type'], m_res))
else:
logging.info(" {0}... matches: {1} doesn't match: {2}"
"".format(test['type'], m_res, nm_res))
matches += m_res
no_matches += nm_res
return matches, no_matches
# placeholder function -- TODO How should this be exposed?
def driver_info(self):
return "base class"
class TransformTestPyProj(TransformTestBase):
"""
TransformTest uses pyproj to run tests.
"""
def __init__(self, json_dict, kwargs):
# call super class
TransformTestBase.__init__(self, json_dict, kwargs)
# setup projections
try:
self.proj_left = pyproj.Proj(json_dict['projections'][0], preserve_units=True)
except RuntimeError as e:
logging.error('pyproj raised a RuntimeError for projection string:'
' "{0}"'.format(json_dict['projections'][0]))
raise RuntimeError(e)
try:
self.proj_right = pyproj.Proj(json_dict['projections'][1], preserve_units=True)
except RuntimeError as e:
logging.error('pyproj raised a RuntimeError for projection string:'
' "{0}"'.format(json_dict['projections'][1]))
raise RuntimeError(e)
def transform(self, src_crs, dst_crs, coords):
return self.pyproj_transform_ex(src_crs, dst_crs, coords)
def driver_info(self):
return 'pyproj {0}\nproj4 {1}\n'.format(
pyproj.__version__, self.proj4_version())
# TODO: currently dead code, unneeded for the pyproj repo. version
# as of 2016-05-24.
def proj4_version():
"""
Gives the proj.4 library's version number. (requires pyproj)
returns string, so proj.4 version 4.9.3 will return "4.9.3"
"""
try:
return pyproj.proj_version_str
except AttributeError:
# for pyproj versions 1.9.5.1 and before, this will run
# Get PROJ4 version in a floating point number
proj4_ver_num = pyproj.Proj(proj='latlong').proj_version
# convert float into a version string (4.90 becomes '4.9.0')
return '.'.join(str(int(proj4_ver_num * 100)))
def pyproj_transform_ex(self, proj_src, proj_dst, coords):
"""
wrapper for pyproj.transform to do all the zipping of the coordinates
returns coordinate list
"""
# are these coordinate triples?
if len(coords[0]) == 3:
xi, yi, zi = lzip(*coords)
xo, yo, zo = pyproj.transform(proj_src, proj_dst, xi, yi, zi)
return lzip(xo, yo, zo)
# assume list of coordinate pairs
xi, yi = lzip(*coords)
xo, yo = pyproj.transform(proj_src, proj_dst, xi, yi)
return lzip(xo, yo)
class TransformTestCs2cs(TransformTestBase):
def __init__(self, json_dict, kwargs):
# call super class
TransformTestBase.__init__(self, json_dict, kwargs)
# copy proj4 projection strings
self.proj_left, self.proj_right = json_dict['projections']
self.exe = kwargs.get('exe', 'cs2cs')
# when the exe is not the default, check if the file exists
if self.exe == 'cs2cs' or not os.path.isfile(self.exe):
raise RuntimeError('cannot find cs2cs executable file: {}'
''.format(self.exe))
def transform(self, src_crs, dst_crs, coords):
# send points to a temporary file
# TODO Should this use with statement?
tmpfn = NamedTemporaryFile(mode='w+t', delete=False)
for point in coords:
# convert list of float values into a list of strings
point = [str(e) for e in point]
# print('POINT: {}'.format(point))
tmpfn.write(' '.join(point) + '\n')
tmpfn.flush()
command = "{exe} {proj_from} +to {proj_to} -f %.13f {filename}".format(
exe=self.exe, proj_from=src_crs, proj_to=dst_crs, filename=tmpfn.name)
tmpfn.close()
logging.debug('Running Popen on command "{0}"'.format(command))
if platform.system() == 'Windows':
shell = False
else:
# shell=True according to the subprocess documentation has some
# security implications
# Linux seems to need this
shell = True
# call cs2cs
outs = subprocess.check_output(command, shell=shell)
# delete temporary filename
os.unlink(tmpfn.name)
# print('RESULTS OUTS: {}\n'.format(outs))
# print('RESULTS ERRS: {}\n'.format(errs))
# outs
# print('RESULTS LINE: {}\n'.format([line.split() for line in outs]))
coords = []
# process output
for line in outs.splitlines():
# print("LINE: {}".format(line))
coord = []
for e in line.split():
coord.append(float(e))
coords.append(coord)
# print('COORDS: {}\n'.format(coords))
return coords
def driver_info(self):
shell = True # see transform() for info.
if platform.system() == 'Windows':
shell = False
outs = subprocess.check_output(self.exe, shell=shell)
return 'PROJ.4 version: ' + outs.splitlines()[0] + '\n'
if __name__ == '__main__':
# logging.basicConfig(level=logging.DEBUG)
logging.basicConfig(level=logging.INFO)
parser = argparse.ArgumentParser(description='Test PROJ.4 using a JSON file.')
parser.add_argument('-e', '--exe',
help="executable with path default: 'cs2cs' (needed for cs2cs driver)")
parser.add_argument('-d', '--driver', default='pyproj',
help='driver to test')
parser.add_argument('-t', '--test',
help='only run these test types (valid values: conversion or roundtrip)')
# get json file names and/or glob patterns
parser.add_argument('testnames_pat_json', nargs=argparse.REMAINDER,
help='single filename or glob wildcard patern')
args = parser.parse_args()
# test that the arguments have sensible values
if args.driver not in ('cs2cs', 'pyproj'):
raise ValueError('driver "{}" is not a valid driver'.format(args.driver))
logging.info('Python {}'.format(sys.version))
logging.info('using driver: {}'.format(args.driver))
# there could be a version command for the TransformRunner TODO
match_results, nonmatch_results, success_code = 0, 0, 0
for test_name in args.testnames_pat_json:
tratst = TransformRunner(test_name, driver=args.driver, exe=args.exe,
test=args.test)
m_res, nm_res, success_cd = tratst.dispatch()
match_results += m_res
nonmatch_results += nm_res
success_code += success_cd
logging.info("----------------------------------------")
logging.info("TOTAL: matches: {0} non-matching: {1}"
"".format(match_results, nonmatch_results))
# exit status code is the number of non-matching results
# This should play nicely with Travis and similar testing.
sys.exit(success_code)
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