66 lines
1.9 KiB
Python
66 lines
1.9 KiB
Python
import sys
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import os
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sys.path.append(os.path.dirname(os.path.realpath(__file__)) + "/..")
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#sys.path.append('..')
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import unittest
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import yaml
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#from helper import get_request
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from KRParser.helper import get_request
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from KRParser.krparser import KRParser, KROption
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import pandas as pd
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#from KRParser import helper, krparser
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from decouple import config
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class TestStringMethods(unittest.TestCase):
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def setUp(self):
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with open('./tests/environment.yaml') as file:
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self.env_doc = yaml.safe_load(file)
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def test_upper(self):
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self.assertEqual('foo'.upper(), 'FOO')
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def test_isupper(self):
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self.assertTrue('FOO'.isupper())
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self.assertFalse('Foo'.isupper())
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def test_simplifySLOs(self):
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DTURL=self.env_doc['euprod'][1]["env-url"]
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DTTOKEN = config(self.env_doc['euprod'][2].get('env-token-name'))
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api_url = DTURL+"/api/v2/slo/15c29ec3-71a7-3298-9e99-aad2e5bf347c"
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headers = {
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'Content-Type': 'application/json',
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'Authorization': 'Api-Token ' + DTTOKEN
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}
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result=get_request(api_url, headers, {})
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krp = KRParser(options=KROption.RESOLVEKEYREQUETS | KROption.VALIDATE_HASDATA | KROption.RESOLVESERVICES, config={"threads":10,"serviceLookupParams":{"fields":"tags"},"extendResultObjects":{"env":"emea"}}, DTAPIURL=DTURL, DTAPIToken=DTTOKEN)
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#df = pd.DataFrame.from_dict(result.json().items())
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#for index, row in pd.DataFrame(result.json().items()).iterrows():
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slo=result.json()
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slo["env"]="emea"
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listSlo=[slo, slo]
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krp.parse(listSlo)
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#krp.parseBySLO(0,slo)
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#krp.parseBySLO_Threaded(0, )
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#self.assertEqual(s.split(), ['hello', 'world'])
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# check that s.split fails when the separator is not a strin
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if __name__ == '__main__':
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unittest.main() |