Case 1

Location search based on country (iso2 or Name)

In location API, tried to load 500 outlets in the country by (iso2)
URL: https://replica.psi-mis.org/locator/api/1?iso2={country ISO}&number=500
Similarly, in FHIR, we tried to load 500 locations in that country and measured the time taken to get the response back.
URL: https://fhir-dev.psi-mis.org/fhir?address-country={country_name}&_count=500

Summary of test results

	DHIS2	FHIR	DHIS2 vs FHIR %
Average	0.559433	0.559633	-5.14751

Test detailed results

logged on Nov 29/ 2022 UTC-7 08:35:00

Performance Testing for	Attempt	DHIS2 API	FHIR API	FHIR API (with HealthcareServices),	Improvement %
El Salvador	Attempt - 1	0.519845	0.49418	0.562221	4.93705
	Attempt - 2	0.57532	0.424411	0.454275	26.2304
	Attempt - 3	0.54541	0.4306	0.445373	21.0502
Kenya	Attempt - 1	0.649501	0.616995	0.613571	5.00477
	Attempt - 2	0.681508	0.559262	0.577607	17.9376
	Attempt - 3	0.663324	0.57675	0.61023	13.0515
Nigeria	Attempt - 1	0.52902	0.599715	0.629629	-13.3634
	Attempt - 2	0.536094	0.579989	0.68599	-8.18793
	Attempt - 3	0.588082	0.579535	0.60863	1.45337
Cameroon	Attempt - 1	0.371575	0.63747	0.606542	-71.5589
	Attempt - 2	0.371396	0.566286	0.588483	-52.475
	Attempt - 3	0.363826	0.571734	0.582228	-57.1449
Nepal	Attempt - 1	0.675976	0.604182	0.593038	10.6208
	Attempt - 2	0.651016	0.590685	0.672721	9.26721
	Attempt - 3	0.669601	0.562703	0.57227	15.9644
Overall Average		0.559433	0.559633	0.586854	-5.14751

##Case 1
case_1_results = [{"description": "Performance Testing for", "attempt": "Attempt", "dhis2": "DHIS2 API", "fhir": "FHIR API", "fhir_with_healthcareServices": "FHIR API (with HealthcareServices),", "improvement":"Improvement %"}]
print("Case #1 - Getting 500 orgUnits/Location in the country (by ISO)")
improvements = []
dhis2_performances = []
fhir_hsc_performances = []
fhir_performances = []
for country in countries:
    for i in range(1,4):
        case_1_result = {}
        if i == 1:
            case_1_result['description'] = "{}".format(country['name'])
        case_1_result['attempt'] = "Attempt - {}".format(i)
        dhis2_url = dhis2_base_url+'iso2={}&number=500'.format(country['code'])
        result = requests.get(dhis2_url, auth=dhis2_auth)
        if result.status_code == 200:
            dhis2_performances.append(result.elapsed.total_seconds())
            case_1_result['dhis2'] = dhis2_performances[-1]

        request_url = fhir_location_url+'address-country={}&_count=500'.format(country['name'])
        fhirResult = requests.get(request_url, auth=fhir_auth)
        if fhirResult.status_code == 200:
            fhir_performances.append(fhirResult.elapsed.total_seconds())
            case_1_result['fhir'] = fhir_performances[-1]
        
        request_healthcare_url = fhir_location_url+'address-country={}&_count=500&_revinclude=HealthcareService:location'.format(country['name'])
        fhirHealthcareServicesResult = requests.get(request_healthcare_url, auth=fhir_auth)
        if fhirHealthcareServicesResult.status_code == 200:
            fhir_hsc_performances.append(fhirHealthcareServicesResult.elapsed.total_seconds())
            case_1_result['fhir_with_healthcareServices'] = fhir_hsc_performances[-1]
        
        improvements.append(((case_1_result['dhis2'] - case_1_result['fhir']) / case_1_result['dhis2'])*100)
        case_1_result['improvement'] = improvements[-1]
        case_1_results.append(case_1_result)
        time.sleep(0.01)
case_1_result = {}
case_1_result['description'] = "Overall Average"
case_1_result['dhis2'] = Average(dhis2_performances)
case_1_result['fhir'] = Average(fhir_performances)
case_1_result['fhir_with_healthcareServices'] = Average(fhir_hsc_performances)
case_1_result['improvement'] = Average(improvements)
case_1_results.append(case_1_result)
print(tabulate(case_1_results, headers='firstrow', tablefmt='pipe'))