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smoke_test.py
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smoke_test.py
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import time
import unittest
import requests
class SmokeTest(unittest.TestCase):
def setUp(self):
self.url = "http://localhost:8000"
for i in range(0, 100):
try:
res = requests.get(self.url + "/.well-known/ready")
if res.status_code == 204:
return
else:
raise Exception("status code is {}".format(res.status_code))
except Exception as e:
print("Attempt {}: {}".format(i, e))
time.sleep(1)
raise Exception("did not start up")
def test_well_known_ready(self):
res = requests.get(self.url + "/.well-known/ready")
self.assertEqual(res.status_code, 204)
def test_well_known_live(self):
res = requests.get(self.url + "/.well-known/live")
self.assertEqual(res.status_code, 204)
def test_meta(self):
res = requests.get(self.url + "/meta")
self.assertEqual(res.status_code, 200)
self.assertIsInstance(res.json(), dict)
def test_vectorizing(self):
def get_req_body(task_type: str = ""):
req_body = {"text": "The London Eye is a ferris wheel at the River Thames."}
if task_type != "":
req_body["config"] = {"task_type": task_type}
return req_body
def try_to_vectorize(url, task_type: str = ""):
print(f"url: {url}")
req_body = get_req_body(task_type)
res = requests.post(url, json=req_body)
resBody = res.json()
self.assertEqual(200, res.status_code)
# below tests that what we deem a reasonable vector is returned. We are
# aware of 384 and 768 dim vectors, which should both fall in that
# range
self.assertTrue(len(resBody["vector"]) > 100)
print(f"vector dimensions are: {len(resBody['vector'])}")
try_to_vectorize(self.url + "/vectors/")
try_to_vectorize(self.url + "/vectors")
if __name__ == "__main__":
unittest.main()