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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

1.93245

0.555544

99.9437

Test detailed results

logged on Nov 22/ 2022 UTC-7 21:23:00

Performance Testing for

Attempt

DHIS2 API

FHIR API

Improvement ( % )

El Salvador

Attempt 1

1.40366

0.595705

235.63

Attempt 2

1.36264

0.548285

248.527

Attempt 3

1.38555

0.58621

236.356

Kenya

Attempt 1

1.45908

0.592059

246.441

Attempt 2

1.42916

0.571586

250.034

Attempt 3

1.42113

0.602623

235.824

Nigeria

Attempt 1

1.47467

0.596982

247.022

Attempt 2

1.51453

0.564565

268.266

Attempt 3

1.50846

0.564294

267.318

Cameroon

Attempt 1

1.50968

0.580445

260.091

Attempt 2

1.66286

0.563667

295.008

Attempt 3

1.72107

0.591113

291.158

Nepal

Attempt 1

1.34875

0.600613

224.562

Attempt 2

1.0993

0.558992

196.658

Attempt 3

1.36921

0.569797

240.298

Overall Average

1.44465

0.579129

249.546

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((dhis2_performances[-1]/fhir_performances[-1])*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='html'))

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