...
DHIS2 | FHIR | DHIS2 vs FHIR % | ||
---|---|---|---|---|
Average | 0.468058455769 | 0.304159 303586 | 15450.80313% |
Test detailed results
logged on Nov 22Dec 1/ 2022 UTC-7 2109:3840:00
Performance Testing for finding | Attempt | DHIS2 API (s) | FHIR API (s) | Improvement (%) |
---|---|---|---|---|
El Salvador, Santa Ana, Santa Ana | Attempt 1 | 0. |
505833 | 0. |
360177 |
40. |
44% | ||
Attempt 2 | 0. |
489221 | 0. |
36177 |
35. |
23% | ||
Attempt 3 | 0. |
498737 | 0. |
371898 |
34. |
11% | ||
Kenya, Nairobi, Dagoretti North | Attempt 1 | 0. |
49637 | 0. |
280708 |
76. |
83% | ||
Attempt 2 | 0. |
500309 | 0. |
275099 |
81. |
87% | ||
Attempt 3 | 0. |
484024 | 0. |
274949 |
76. |
04% | ||
Nigeria, Kaduna State, Ifedayo LGA | Attempt 1 | 0. |
329692 | 0. |
288067 |
14. |
45% | ||
Attempt 2 | 0. |
340072 | 0. |
280573 |
21. |
21% | ||
Attempt 3 | 0. |
330502 | 0. |
275984 |
19. |
75% | ||
Nepal, Banepa, Banepa | Attempt 1 | 0. |
500502 | 0. |
290867 |
72. |
07% | ||
Attempt 2 | 0. |
49083 | 0. |
289518 |
69. |
53% | ||
Attempt 3 | 0. |
503132 | 0. |
293428 |
71. |
47% | ||
Overall Average | 0. |
455769 | 0. |
303586 |
50. |
13% |
Testing Script
Code Block | ||
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## 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_performances[-1])-1)*100) result4['improvement'] = '{}%'.format(float("{:.2f}".format(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'{}%'.format(float("{:.2f}".format(((result4['dhis2']/result4['fhir'])-1)*100))) results4.append(result4) print(tabulate(results4, headers='firstrow', tablefmt='htmlpipe')) |