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results7 = [{"description": "Performance Testing for Outlet Type", "attempt": "Attempt", "dhis2": "DHIS2 API (s)", "fhir": "FHIR API (s)", "improvement": "Improvement (%)"}]
print("Case #7 - Measuring time taken to find outlet / location by Type")
countries = [ {"iso2": "do", "name": "Dominican Republic", "type": "Farmacia", "code": 18102}, {"iso2": "HN", "name": "Honduras", "type": "Farmacia", "code": 18102},{"iso2": "VN", "name": "Vietnam", "type": "Pharmacy", "code": 18102}]
improvements = []
dhis2_performances = []
fhir_performances = []
for country in countries:
    for i in range(1,4):
        result7 = {}
        if i == 1:
            result7['description'] = "{}".format(country['name'])
        result7['attempt'] = "Attempt - {}".format(i)
        dhis2_url = dhis2_base_url+'iso2={}&type={}&n=100'.format(country['iso2'], country['type'])
        result = requests.get(dhis2_url, auth=dhis2_auth)
        if result.status_code == 200:
            dhis2_performances.append(result.elapsed.total_seconds())
            result7['dhis2'] = dhis2_performances[-1]
            
        request_url = fhir_location_url+'address-country={}&type={}&_count=100'.format(country['name'], country['code'])
        fhirResult = requests.get(request_url, auth=fhir_auth)
        if fhirResult.status_code == 200:
            fhir_performances.append(fhirResult.elapsed.total_seconds())
            result7['fhir'] = fhir_performances[-1]
        improvements.append(((dhis2_performances[-1]/fhir - fhir_performances[-1])/dhis2_performances[-1])*100)
        result7['improvement'] = improvements[-1]
        results7.append(result7)
        time.sleep(0.01)

result7 = {}
result7['description'] = "Overall Average"
result7['dhis2'] = np.average(dhis2_performances)
result7['fhir'] = np.average(fhir_performances)
result7['improvement'] = np.average(improvements)((result7['dhis2'] - result7['fhir'])/result7['dhis2'])*100
results7.append(result7)
print(tabulate(results7, headers='firstrow', tablefmt='pipe'))