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)")
dhis2_overall_averageimprovements = 0[]
fhirdhis2_overall_averageperformances = 0[]
fhir_hcshsc_overall_averageperformances = 0[]
improvementfhir_overallperformances = 0[]
for country in countries:
    dhis2_section_sum = 0
    fhir_section_sum = 0
    fhir_hcs_section_sum = 0
    improvement_section_sum = 0
    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'] = result.elapsed.total_seconds()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'] = fhirResult.elapsed.total_seconds()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:
            case_1_result['fhir_with_healthcareServices'] = hsc_performances.append(fhirHealthcareServicesResult.elapsed.total_seconds())
                 case_1_result['improvementfhir_with_healthcareServices'] = (casefhir_1hsc_result['dhis2'] / case_1_result['fhir'])*100performances[-1]
        case_1_results.append(case_1_result)
         dhis2_section_sum += improvements.append(((case_1_result['dhis2']         fhir_section_sum +=/ case_1_result['fhir']) - 1)*100)
      fhir_hcs_section_sum += case_1_result['fhir_with_healthcareServices']'improvement'] = '{}%'.format(float("{:.2f}".format(improvements[-1])))
        improvementcase_section_sum += 1_results.append(case_1_result['improvement'])
        time.sleep(1)
   0.01)
case_1_result = {}
    case_1_result['attemptdescription'] = "Overall Average"
   
case_1_result['dhis2'] = np.average(dhis2_section_sum / 3
   performances)
case_1_result['fhir'] = np.average(fhir_section_sum / 3
    performances)
case_1_result['fhir_with_healthcareServices'] = np.average(fhir_hcs_section_sum / 3
    hsc_performances)
case_1_result['improvement'] = improvement_section_sum / 3
    case_1_results.append(case_1_result)
    dhis2_overall_average += dhis2_section_sum / 3
    fhir_overall_average += fhir_section_sum / 3
    fhir_hcs_overall_average += fhir_hcs_section_sum / 3
    improvement_overall += improvement_section_sum / 3
case_1_result = {}
case_1_result['description'] = "Overall Average"
'{}%'.format(float("{:.2f}".format(((case_1_result['dhis2'] = dhis2_overall_average / nos_countries
case_1_result['fhir'] = fhir_overall_average / nos_countries
case_1_result['fhir_with_healthcareServices'] = fhir_hcs_overall_average / nos_countries
case_1_result['improvement'] = improvement_overall / nos_countries
)-1)*100)))
case_1_results.append(case_1_result)
print(tabulate(case_1_results, headers='firstrow', tablefmt='fancy_gridpipe'))