Page Comparison

##Case 1
case_1_results = [{"description": "Performance Testing for", "attempt": "Attempt", "dhis2": "DHIS2 API", "fhir": "FHIR API", "fhir_with_healthcareServices": "FHIR API (with HealthcareServices),", "improvement":"Improvement %"}]
print("Case #1 - Getting 500 orgUnits/Location in the country (by ISO)")
improvements = []
dhis2_performances = []
fhir_hsc_performances = []
fhir_performances = []
for country in countries:
    for i in range(1,4):
        case_1_result = {}
        if i == 1:
            case_1_result['description'] = "{}".format(country['name'])
        case_1_result['attempt'] = "Attempt - {}".format(i)
        dhis2_url = dhis2_base_url+'iso2={}&number=500'.format(country['code'])
        result = requests.get(dhis2_url, auth=dhis2_auth)
        if result.status_code == 200:
            dhis2_performances.append(result.elapsed.total_seconds())
            case_1_result['dhis2'] = dhis2_performances[-1]

        request_url = fhir_location_url+'address-country={}&_count=500'.format(country['name'])
        fhirResult = requests.get(request_url, auth=fhir_auth)
        if fhirResult.status_code == 200:
            fhir_performances.append(fhirResult.elapsed.total_seconds())
            case_1_result['fhir'] = fhir_performances[-1]
        
        request_healthcare_url = fhir_location_url+'address-country={}&_count=500&_revinclude=HealthcareService:location'.format(country['name'])
        fhirHealthcareServicesResult = requests.get(request_healthcare_url, auth=fhir_auth)
        if fhirHealthcareServicesResult.status_code == 200:
            fhir_hsc_performances.append(fhirHealthcareServicesResult.elapsed.total_seconds())
            case_1_result['fhir_with_healthcareServices'] = fhir_hsc_performances[-1]
        
        improvements.append(((case_1_result['dhis2'] -/ case_1_result['fhir']) /- case_1_result['dhis2'])*100)
        case_1_result['improvement'] = '{}%'.format(float("{:.2f}".format(improvements[-1])))
        case_1_results.append(case_1_result)
        time.sleep(0.01)
case_1_result = {}
case_1_result['description'] = "Overall Average"
case_1_result['dhis2'] = np.average(dhis2_performances)
case_1_result['fhir'] = np.average(fhir_performances)
case_1_result['fhir_with_healthcareServices'] = np.average(fhir_hsc_performances)
case_1_result['improvement'] = '{}%'.format(float("{:.2f}".format(((case_1_result['dhis2'] - /case_1_result['fhir'])/case_1_result['dhis2']-1)*100)))
case_1_results.append(case_1_result)
print(tabulate(case_1_results, headers='firstrow', tablefmt='pipe'))