Case 2

Searching nearest orgunits / Location based on the provided coordinates

Performance was measured based on the time taken to:
load 500 nearby outlets to the provided coordinates (for locator API)
URL: https://replica.psi-mis.org/locator/api/1?n=500&c={latitude},{longitude}&d={distance}
Similarly, in FHIR, we tried to load 500 nearby locations based on the coordinates provided
URL: https://fhir-dev.psi-mis.org/fhir?near={latitude}|{longitude}|{distance}|{unit}&_count=500

Summary of test results

	DHIS2	FHIR	DHIS2 vs FHIR %
Average	1.416	0.578393	58.8358

Test detailed results

logged on Nov 29/ 2022 UTC-7 08:52:00

Performance Testing for	Attempt	DHIS2 API	DHIS2 Size	FHIR API	FHIR Size	Improvement %
El Salvador	Attempt 1	1.36212	141	0.593179	500	56.4517
	Attempt 2	1.4038	141	0.569006	500	59.4668
	Attempt 3	1.4126	141	0.567176	500	59.8487
Kenya	Attempt 1	1.51748	500	0.582688	500	61.6017
	Attempt 2	1.42406	500	0.575231	500	59.6061
	Attempt 3	1.41624	500	0.559239	500	60.5125
Nigeria	Attempt 1	1.5021	500	0.59612	500	60.3143
	Attempt 2	1.48585	500	0.56827	500	61.7545
	Attempt 3	1.50549	500	0.569342	500	62.1824
Cameroon	Attempt 1	1.46494	500	0.58451	500	60.1
	Attempt 2	1.51499	500	0.608725	500	59.8198
	Attempt 3	1.50646	500	0.558488	500	62.9271
Nepal	Attempt 1	1.11289	12	0.579574	500	47.9217
	Attempt 2	1.41752	12	0.573164	500	59.5659
	Attempt 3	1.19342	12	0.591184	500	50.4632
Overall Average		1.416		0.578393		58.8358

Testing Script

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'] - 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='pipe'))