66 lines
2.5 KiB
Python
66 lines
2.5 KiB
Python
from locust import task, between, SequentialTaskSet
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from locust.contrib.fasthttp import FastHttpUser
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from locust import events
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import json
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import logging
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import subprocess
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@events.quitting.add_listener
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def _(environment, **kw):
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totalStats = environment.stats.total
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if totalStats.fail_ratio > 0.20:
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logging.error("Test failed due to failure ratio " + totalStats.fail_ratio + " > 20%")
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environment.process_exit_code = 1
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elif totalStats.get_response_time_percentile(0.80) > 800:
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logging.error("Test failed due to 80th percentile response time > 800 ms")
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environment.process_exit_code = 1
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else:
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environment.process_exit_code = 0
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class QuickStartUser(SequentialTaskSet):
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wait_time = between(0.1,0.2)
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@task
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def captcha(self):
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captcha_params = {"level":"debug","media":"image/png","input_type":"text", "size":"350x100"}
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with self.client.post(path="/v2/captcha", json=captcha_params, name="/captcha", catch_response = True) as resp:
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if resp.status_code != 200:
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resp.failure("Status was not 200: " + resp.text)
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captchaJson = resp.json()
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uuid = captchaJson.get("id")
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if not uuid:
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resp.failure("uuid not returned on /captcha endpoint: " + resp.text)
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with self.client.get(path="/v2/media?id=%s" % uuid, name="/media", stream=True, catch_response = True) as resp:
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if resp.status_code != 200:
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resp.failure("Status was not 200: " + resp.text)
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media = resp.content
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ocrAnswer = self.solve(uuid, media)
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answerBody = {"answer": ocrAnswer,"id": uuid}
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with self.client.post(path='/v2/answer', json=answerBody, name="/answer", catch_response=True) as resp:
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if resp.status_code != 200:
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resp.failure("Status was not 200: " + resp.text)
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else:
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if resp.json().get("result") != "True":
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resp.failure("Answer was not accepted: " + ocrAnswer)
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def solve(self, uuid, media):
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mediaFileName = "tests/test-%s.png" % uuid
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with open(mediaFileName, "wb") as f:
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f.write(media)
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#ocrResult = subprocess.Popen("gocr %s" % mediaFileName, shell=True, stdout=subprocess.PIPE)
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ocrResult = subprocess.Popen("tesseract %s stdout -l eng" % mediaFileName, shell=True, stdout=subprocess.PIPE)
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ocrAnswer = ocrResult.stdout.readlines()[0].strip().decode()
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return ocrAnswer
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class User(FastHttpUser):
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wait_time = between(0.1,0.2)
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tasks = [QuickStartUser]
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host = "http://localhost:8888"
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