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test_app.py
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test_app.py
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import os
import time
import subprocess
from multiprocessing import Process
import pytest
import requests
import uvicorn
from app import app
def wait_for_uvicorn_start():
url = "http://localhost:8000/.well-known/ready"
for i in range(0, 100):
try:
res = requests.get(url)
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(2)
raise Exception("did not start up")
def run_server():
uvicorn.run(app)
@pytest.fixture(
params=[
"t5-small",
"distilroberta-base",
"vblagoje/dpr-ctx_encoder-single-lfqa-wiki",
"vblagoje/dpr-question_encoder-single-lfqa-wiki",
],
scope="function",
)
def server(request):
os.environ["MODEL_NAME"] = request.param
subprocess.call("python download.py", shell=True)
proc = Process(target=run_server, args=(), daemon=True)
proc.start()
yield
proc.kill()
subprocess.call("rm -rf ./models", shell=True)
def test_vectorizing(server):
wait_for_uvicorn_start()
url = "http://127.0.0.1:8000/vectors/"
req_body = {"text": "The London Eye is a ferris wheel at the River Thames."}
res = requests.post(url, json=req_body)
resBody = res.json()
vectorized_text = resBody["vector"]
assert 200 == res.status_code
assert type(vectorized_text) is list
# 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
assert 128 <= len(vectorized_text) <= 1024
# now let's try two sentences
req_body = {
"text": "The London Eye is a ferris wheel at the River Thames. Here is the second sentence."
}
res = requests.post(url, json=req_body)
resBody = res.json()
vectorized_text = resBody["vector"]
assert 200 == res.status_code
assert type(vectorized_text) is list
assert 128 <= len(vectorized_text) <= 1024