Page Comparison

## Case #3
results = [{"description": "Performance Testing for finding", "dhis2": "PSI's DHIS2 API (s)", "dhisAvg": "DHIS2 Average (s)", "fhir": "FHIR API (s)", "fhirAvg": "FHIR Average (s)", "improvement": "Improvement (%)"}]
print("Case #3 - Measuring time taken to find a specific OrgUnit / Location")
outlets = [{"id": "Fz5NHHnah7C", "name": "Clínica Dra. Cintya Iraheta"},{"id": "onUMfZs0zeh", "name": "Hospital David King"},{"id": "kJ14ifcScdC", "name": "Unidad Médica  San Miguel (NF047)"},{"id": "LhNO7Q1tgck", "name": "Ithare Medical Clinic (10358)"},{"id": "V0Wh2NxXpeP", "name": "Korakora Health Centre (13382)"},{"id": "TIqvGd9EDw4", "name": "Nimoli Medical Services"},{"id": "rLBXeooeab7", "name": "Adina Pharamacy - House 3, Road 1, FHA Estate, Lugbe"},{"id": "FQ7cbWDi2Sq", "name": "Ajingi Primary Health Centre (fc-00-00-0069)"},{"id": "iEEsjVZWZXN", "name": "LOLA PMS (NG_DISC_PPMV_00019)"},{"id": "LaosQn5Ir4Q", "name": "Clinique La Sentinelle (LT335)"},{"id": "QLUHuYeU7aT", "name": "CSI Lougguere"},{"id": "IXageW1Ti5E", "name": "Nkouampoer (SU11009-17)"}]
dhis2_averages = []
fhir_averages = []
improvements = []
for outlet in outlets:
    improvement_overall = 0
    case_result = {}
    attempts = []
    fhir_attempts = []
    for i in range (1,4):
        case_result['description'] = "{}".format(outlet['name'])
        dhis2_url = dhis2_base_url+'uid={}'.format(outlet['id'])
        result = requests.get(dhis2_url, auth=dhis2_auth)
        if result.status_code == 200:
            dhis2_performances.append(result.elapsed.total_seconds())
            attempts.append(result.elapsed.total_seconds())
        
        request_url = fhir_location_url+'identifier={}'.format(outlet['id'])
        fhirResult = requests.get(request_url, auth=fhir_auth)
        if fhirResult.status_code == 200:
            fhir_attempts.append(fhirResult.elapsed.total_seconds())
    case_result['dhis2'] = ",  ".join([str(i) for i in attempts])
    dhis2_averages.append(Average(attempts))
    fhir_averages.append(Average(fhir_attempts))
    improvements.append(((dhis2_averages[-1]/ - fhir_averages[-1] )/ dhis2_averages[-1])*100)
    case_result['dhisAvg'] = dhis2_averages[-1]
    case_result['fhir'] = ', '.join([str(i) for i in fhir_attempts])
    case_result['fhirAvg'] = fhir_averages[-1]
    case_result['improvement'] = '{}%'.format(float("{:.2f}".format(improvements[-1])))
    results.append(case_result)
    time.sleep(0.01)
case_result = {}
case_result['description'] = "Overall Average"
case_result['dhisAvg'] = Average(dhis2_averages)
case_result['fhirAvg'] = Average(fhir_averages)
case_result['improvement'] = '{}%'.format(float("{:.2f}".format(((case_result['dhisAvg'] - /case_result['fhirAvg'])/case_result['dhisAvg']-1)*100)))
results.append(case_result)
print(tabulate(results, headers='firstrow', tablefmt='pipe'))