Finding Specific orgUnits / Location by Type
Searching orgunits / locations by its type
Summary of test results
DHIS2 | FHIR | DHIS2 vs FHIR % | |
---|---|---|---|
Average | 0.551962 | 0.358791 | 156.478 |
Test detailed results
logged on Nov 22/ 2022 UTC-7 21:51:00
Performance Testing for Outlet Type | Attempt | DHIS2 API (s) | FHIR API (s) | Improvement (%) |
---|---|---|---|---|
Dominican Republic | Attempt - 1 | 0.593318 | 0.338067 | 175.503 |
Attempt - 2 | 0.541574 | 0.289128 | 187.313 | |
Attempt - 3 | 0.53424 | 0.280602 | 190.391 | |
Honduras | Attempt - 1 | 0.545529 | 0.372258 | 146.546 |
Attempt - 2 | 0.54711 | 0.364207 | 150.22 | |
Attempt - 3 | 0.539345 | 0.358541 | 150.428 | |
Vietnam | Attempt - 1 | 0.558541 | 0.418999 | 133.304 |
Attempt - 2 | 0.550937 | 0.39442 | 139.683 | |
Attempt - 3 | 0.55706 | 0.4129 | 134.914 | |
Overall Average | 0.551962 | 0.358791 | 156.478 |
Testing Script
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_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) results7.append(result7) print(tabulate(results7, headers='firstrow', tablefmt='pipe'))