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	0.55735	0.556148	0.215675

Test detailed results

logged on Nov 29/ 2022 UTC-7 09:20:00

Performance Testing for	Attempt	DHIS2 API	FHIR API	FHIR API (with HealthcareServices),	Improvement %
El Salvador	Attempt - 1	0.584538	0.556832	0.51522	4.73981
	Attempt - 2	0.540187	0.452148	0.490487	16.2979
	Attempt - 3	0.527518	0.448206	0.464108	15.0349
Kenya	Attempt - 1	0.670854	0.580913	0.611169	13.4069
	Attempt - 2	0.650981	0.573247	0.592193	11.9411
	Attempt - 3	0.666113	0.553176	0.626906	16.9546
Nigeria	Attempt - 1	0.542913	0.581144	0.641549	-7.04183
	Attempt - 2	0.539101	0.570632	0.622898	-5.84881
	Attempt - 3	0.529134	0.551834	0.605798	-4.29003
Cameroon	Attempt - 1	0.356464	0.576357	0.588069	-61.6873
	Attempt - 2	0.362752	0.569168	0.562994	-56.9028
	Attempt - 3	0.376103	0.571142	0.568529	-51.8579
Nepal	Attempt - 1	0.66836	0.582882	0.614518	12.7892
	Attempt - 2	0.661991	0.603611	0.579578	8.81885
	Attempt - 3	0.683248	0.570934	0.588029	16.4382
Overall Average		0.55735	0.556148	0.578136	0.215675

Testing Script

##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'] = np.average(dhis2_performances)
case_1_result['fhir'] = np.average(fhir_performances)
case_1_result['fhir_with_healthcareServices'] = np.average(fhir_hsc_performances)
case_1_result['improvement'] = ((case_1_result['dhis2'] - case_1_result['fhir'])/case_1_result['dhis2'])*100
case_1_results.append(case_1_result)
print(tabulate(case_1_results, headers='firstrow', tablefmt='pipe'))