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case_results = [{"description": "Performance Testing for", "attempt": "Attempt", "dhis2": "DHIS2 API", "dhis2_size": "DHIS2 Size", "fhir": "FHIR API", "fhir_size": "FHIR Size", "improvement": "Improvement %"}]
print("Case #2 - Getting 500 orgUnits/Location 100km around the provided coordinates")
improvements = []
dhis2_performances = []
fhir_performances = []
for country in countries:
    for i in range(1,4):
        case_result = {}
        if i == 1:
            case_result['description'] = "{}".format(country['name'])
        case_result['attempt'] = "Attempt {}".format(i)
        dhis2_url = dhis2_base_url+'n=500&c={},{}&d=1000000'.format(country['latitude'], country['longitude'])
        result = requests.get(dhis2_url, auth=dhis2_auth)
        if result.status_code == 200:
            data = result.json()
            dhis2_performances.append(result.elapsed.total_seconds())
            case_result['dhis2'] = dhis2_performances[-1]
            case_result['dhis2_size'] = len(data['outlet'])
        
        request_url = fhir_location_url+'near={}|{}|10000|km&_count=500'.format(country['latitude'], country['longitude'])
        fhirResult = requests.get(request_url, auth=fhir_auth)
        if fhirResult.status_code == 200:
            fhir_data = fhirResult.json()
            fhir_performances.append(fhirResult.elapsed.total_seconds())
            case_result['fhir'] = fhir_performances[-1]
            case_result['fhir_size'] = len(fhir_data['entry']) if 'entry' in fhir_data else 0
        
        improvements.append(((case_result['dhis2_performances[-1]/fhir_performances[-1'] - case_result['fhir'])/case_result['dhis2'])*100)
        case_result['improvement'] = improvements[-1]
        case_results.append(case_result)
        time.sleep(0.01)

case_result = {}
case_result['description'] = "Overall Average"
case_result['dhis2'] = np.average(dhis2_performances)
case_result['fhir'] = np.average(fhir_performances)
case_result['improvement'] = np.average(improvements)
case_results.append(case_result)
print(tabulate(case_results, headers='firstrow', tablefmt='htmlpipe'))