...
DHIS2 | FHIR | DHIS2 vs FHIR % | ||
---|---|---|---|---|
Average | 0.468058460583 | 0.304159 305799 | 15433.8036063 |
Test detailed results
logged on Nov 2229/ 2022 UTC-7 2109:3807:00
Performance Testing for finding | Attempt | DHIS2 API (s) | FHIR API (s) | Improvement (%) |
---|---|---|---|---|
El Salvador, Santa Ana, Santa Ana | Attempt 1 | 0. |
500818 | 0. |
359716 |
28. |
1743 | ||
Attempt 2 | 0. |
491777 | 0. |
353378 |
28. |
1426 | ||
Attempt 3 | 0. |
501194 | 0. |
364875 |
27. |
1988 | ||
Kenya, Nairobi, Dagoretti North | Attempt 1 | 0. |
514793 | 0. |
285152 |
44. |
6084 | ||
Attempt 2 | 0. |
501061 | 0. |
278943 |
44. |
3295 | ||
Attempt 3 | 0. |
505827 | 0. |
28871 |
42. |
9232 | ||
Nigeria, Kaduna State, Ifedayo LGA | Attempt 1 | 0. |
345526 | 0. |
291971 |
15. |
4996 | ||
Attempt 2 | 0. |
326727 | 0. |
275393 |
15. |
7116 | ||
Attempt 3 | 0. |
330137 | 0. |
296474 |
10. |
1967 | ||
Nepal, Banepa, Banepa | Attempt 1 | 0. |
503351 | 0. |
301019 |
40. |
197 | ||
Attempt 2 | 0. |
505373 | 0. |
285749 |
43. |
4578 | ||
Attempt 3 | 0. |
500418 | 0. |
288203 |
42. |
4075 | ||
Overall Average | 0. |
460583 | 0. |
305799 |
33. |
6063 |
Testing Script
Code Block | ||
---|---|---|
| ||
## Case #4 results4 = [{"description": "Performance Testing for finding","attempt": "Attempt", "dhis2": "DHIS2 API (s)", "fhir": "FHIR API (s)", "improvement": "Improvement (%)"}] print("Case #4 - Measuring time taken to find outlets in area & subArea") improvements = [] dhis2_performances = [] fhir_performances = [] for country in countries: if country['name'] != "Cameroon": for i in range (1,4): result4 = {} if i == 1: result4['description'] = "{}, {}, {}".format(country['name'], country['area'], country['subArea']) result4['attempt'] = "Attempt {}".format(i) dhis2_url = dhis2_base_url+'area={}&areaSub={}'.format(country['area'], country['subArea']) result = requests.get(dhis2_url, auth=dhis2_auth) if result.status_code == 200: dhis2_performances.append(result.elapsed.total_seconds()) result4['dhis2'] = dhis2_performances[-1] request_url = fhir_location_url+'address={}&address-city={}&_count=500'.format(country['area'], country['subArea']) fhirResult = requests.get(request_url, auth=fhir_auth) if fhirResult.status_code == 200: fhir_performances.append(fhirResult.elapsed.total_seconds()) result4['fhir'] = fhir_performances[-1] improvements.append(((dhis2_performances[-1]/fhir - fhir_performances[-1])/dhis2_performances[-1])*100) result4['improvement'] = improvements[-1] results4.append(result4) time.sleep(0.01) result4 = {} result4['description'] = "Overall Average" result4['dhis2'] = Average(dhis2_performances) result4['fhir'] = Average(fhir_performances) result4['improvement'] = Average(improvements)((result4['dhis2'] - result4['fhir'])/result4['dhis2'])*100 results4.append(result4) print(tabulate(results4, headers='firstrow', tablefmt='htmlpipe')) |