def test_python_builder_flask_distr_runnable(tmpdir,
python_builder: PythonBuilder,
pandas_data):
args, env = _prepare_distribution(tmpdir, python_builder)
from setup import setup_args
_check_requirements(
tmpdir,
{
*setup_args['install_requires'],
'flasgger==0.9.3', # server reqs
'pandas==0.25.1',
'scikit-learn==0.21.3',
'numpy==1.17.3'
}) # model reqs
# TODO make ModelLoader.load cwd-independent
server = subprocess.Popen(args, env=env, cwd=tmpdir)
with pytest.raises(subprocess.TimeoutExpired):
# we hope that 5 seconds is enough to determine that server didn't crash
server.wait(5)
try:
client = HTTPClient()
predictions = client.predict(pandas_data)
np.testing.assert_array_almost_equal(predictions, [1, 0])
finally:
# our server runs for eternity, thus we should kill it to clean up
# `server.kill` kills just shell script, Python subprocess still alive
parent = psutil.Process(server.pid)
for child in parent.children(recursive=True):
child.kill()
parent.kill()
def test_http_client__no_interface():
responses.add(responses.GET,
'http://localhost:9000/interface.json',
json='',
status=404)
with pytest.raises(HTTPError):
HTTPClient().go()
def main():
try:
value_a, value_b = float(sys.argv[1]), float(sys.argv[2])
except (IndexError, ValueError):
print(f'Usage: {sys.argv[0]} [float] [float]')
return
client = HTTPClient()
df = pd.DataFrame({'a': [value_a], 'b': [value_b]})
pred = client.predict(df)
# pred is numpy array of shape (1,)
print(pred.item())
proba = client.predict_proba(df)
# proba is numpy array of shape (1, 2)
print(list(proba[0]))
def test_python_build_context_flask_distr_runnable(tmpdir,
python_build_context,
pandas_data, server_reqs,
request):
python_build_context: PythonBuildContext = request.getfixturevalue(
python_build_context)
args, env = _prepare_distribution(tmpdir, python_build_context)
from setup import setup_args
_check_requirements(
tmpdir, {
*setup_args['install_requires'], *server_reqs, 'pandas==1.0.3',
'scikit-learn==0.22.2', 'numpy==1.18.2'
}) # model reqs
check_ebonite_port_free()
# TODO make ModelLoader.load cwd-independent
server = subprocess.Popen(args, env=env, cwd=tmpdir)
with pytest.raises(subprocess.TimeoutExpired):
# we hope that 5 seconds is enough to determine that server didn't crash
server.wait(5)
try:
client = HTTPClient()
predictions = client.predict(pandas_data)
np.testing.assert_array_almost_equal(predictions, [1, 0])
probas = client.predict_proba(pandas_data)
np.testing.assert_array_almost_equal(np.argmax(probas, axis=1), [1, 0])
finally:
# our server runs for eternity, thus we should kill it to clean up
# `server.kill` kills just shell script, Python subprocess still alive
parent = psutil.Process(server.pid)
for child in parent.children(recursive=True):
child.kill()
parent.kill()
def test_http_client__wrong_arg_type():
_mock_interface_json()
# pyjackson serializers raise unpredictable exceptions
with pytest.raises(Exception):
HTTPClient().predict(1)
def test_http_client__excessive_args():
_mock_interface_json()
with pytest.raises(ValueError):
HTTPClient().predict(1, 1)
def test_http_client__wrong_args():
_mock_interface_json()
with pytest.raises(ValueError):
HTTPClient().predict(k=1)
def test_http_client__unknown_method():
_mock_interface_json()
with pytest.raises(KeyError):
HTTPClient().go()
def test_http_client__kwarg_ok(data_frame, ndarray):
_mock_interface_json()
_mock_predict()
assert np.array_equal(HTTPClient().predict(vector=data_frame), ndarray)