def test_interpreter(self): for desc in gen_descriptor_classes(niter=float('inf'), opts=OPTS): interp = Interpreter.get_interpreter(desc) if desc['aggregate'] is False and desc['geom'] is not None: ret = interp.execute() import ipdb; ipdb.set_trace()
def test_raw(self): niter = 1 grouping = ['year'] raw = False for desc in misc.gen_descriptor_classes(niter=niter): for data in misc.gen_example_data(niter=niter): eng = engine.OcgCalculationEngine( grouping, data['tid'], data['timevec'], desc['calc'], raw=raw) # coll = eng.execute(data) conv = CsvConverter(desc,data,base_name='ocg',wd=None,conn=None, cengine=eng,write_attr=False, wkt=False, wkb=False) conv.run() pass
def test_raw(self): niter = 1 grouping = ['year'] raw = False for desc in misc.gen_descriptor_classes(niter=niter): for data in misc.gen_example_data(niter=niter): eng = engine.OcgCalculationEngine(grouping, data['tid'], data['timevec'], desc['calc'], raw=raw) # coll = eng.execute(data) conv = CsvConverter(desc, data, base_name='ocg', wd=None, conn=None, cengine=eng, write_attr=False, wkt=False, wkb=False) conv.run() pass
def test_check(self): for desc in gen_descriptor_classes(): interp = Interpreter.get_interpreter(desc) interp.check()
def test_execute(self): for desc in gen_descriptor_classes(niter=1): interp = Interpreter.get_interpreter(desc) interp.execute()
def gen_desc(self, opts=None): for desc in gen_descriptor_classes(niter=float('inf'), opts=opts): yield (desc)
def gen_desc(self, opts=None): for desc in gen_descriptor_classes(niter=float('inf'), opts=opts): yield (desc)
def test_check(self): for desc in gen_descriptor_classes(): interp = Interpreter.get_interpreter(desc) interp.check()
def test_execute(self): for desc in gen_descriptor_classes(niter=1): interp = Interpreter.get_interpreter(desc) interp.execute()