def test_predict_json(model):
headers = make_headers()
data = "{\"instances\": [1.0, 2.0, 5.0]}"
response = requests.post(INVOCATION_URL.format(model),
data=data,
headers=headers).json()
assert response == {"predictions": [3.5, 4.0, 5.5]}
def test_csv_input():
headers = make_headers(content_type="text/csv")
data = "1.0,2.0,5.0"
response = requests.post(INVOCATION_URL.format(MODEL_NAME),
data=data,
headers=headers).json()
assert response == {"predictions": [3.5, 4.0, 5.5]}
def test_specific_versions():
for version in ("123", "124"):
headers = make_headers(content_type="text/csv", version=version)
data = "1.0,2.0,5.0"
response = requests.post(
INVOCATION_URL.format(MODEL_NAME), data=data, headers=headers
).json()
assert response == {"predictions": [3.5, 4.0, 5.5]}
def test_unsupported_content_type():
headers = make_headers("unsupported-type", "predict")
data = "aW1hZ2UgYnl0ZXM="
response = requests.post(INVOCATION_URL.format(MODEL_NAME),
data=data,
headers=headers)
assert 500 == response.status_code
assert "unsupported content type" in response.text
def test_zero_content():
headers = make_headers()
x = ""
response = requests.post(INVOCATION_URL.format(MODEL_NAME),
data=x,
headers=headers)
assert 500 == response.status_code
assert "document is empty" in response.text
def test_large_input():
data_file = "test/resources/inputs/test-large.csv"
with open(data_file, "r") as file:
x = file.read()
headers = make_headers(content_type="text/csv")
response = requests.post(INVOCATION_URL.format(MODEL_NAME), data=x, headers=headers).json()
predictions = response["predictions"]
assert len(predictions) == 753936
