public void AllocateTeamMember_GivenNoReasonForAdmission_WherePatientHasNoTeamMembers()
{
// Arrange
var connection = GetConnection();
ListRepository listRepository = new ListRepository(connection);
PatientService patientService = new PatientService(connection);
Patient patient = new Patient()
{
Firstname = _nameDataSet.FirstName(),
Lastname = _nameDataSet.LastName(),
DateOfBirth = _dateDataSet.Past()
};
Guid patientId = patientService.Create(patient);
Guid facilityId = listRepository.GetFacilities().First(x => x.Name == "Tijger Mental Health Clinic Loevenstein").Id;
Guid userId = listRepository.GetFacilityUsers(facilityId).First().Id;
TeamMember teamMember = new TeamMember()
{
FacilityId = facilityId,
PatientId = patientId,
UserIds = new Guid[] {
userId
}
};
// Act
patientService.AllocateTeamMember(teamMember);
// Assert
}
static void Main(string[] args)
{
// create data sets
var nameDataSet = new Bogus.DataSets.Name();
var addressDataSet = new Bogus.DataSets.Address();
var phoneDataSet = new Bogus.DataSets.PhoneNumbers();
// create list to hold results
var list = new List <Address>();
for (var i = 0; i < 780000; i++)
{
// generate a result
var address = new Address();
address.First = nameDataSet.FirstName();
address.Last = nameDataSet.LastName();
address.Street = addressDataSet.StreetAddress();
address.City = addressDataSet.City();
address.State = addressDataSet.State();
address.Zip = addressDataSet.ZipCode();
address.Phone = phoneDataSet.PhoneNumberFormat(0);
list.Add(address);
}
// serialize to output.json
var json = Newtonsoft.Json.JsonConvert.SerializeObject(list);
File.WriteAllText("output.json", json);
}
public void CN001_Alunos_ValidarCadastroAlunos()
{
var faker = new Faker("en");
var nameMock = new Bogus.DataSets.Name();
var firstName = nameMock.FirstName(Bogus.DataSets.Name.Gender.Male);
var lastName = nameMock.LastName(Bogus.DataSets.Name.Gender.Male);
aluno = new AlunoMock()
{
CPF = faker.Random.Long(11111111111, 99999999999).ToString(),
RG = faker.Random.Long(1111111, 9999999).ToString(),
Telefone = faker.Phone.PhoneNumber(),
DataNascimento = "01/01/1991",
UserName = faker.Internet.UserName(firstName, lastName),
Email = faker.Internet.Email(firstName, lastName, "portabilis.com"),
Senha = faker.Internet.Password(8, true),
Name = firstName + " " + lastName
};
this.CN001_Alunos_AcessarCadastro();
this.CN001_Alunos_CadastrarAluno();
this.CN001_Alunos_AcessarCadastro();
this.CN001_Alunos_CadastrarAluno();
this.CN001_Alunos_ValidarAlunoCPFDuplicado();
this.CN001_Alunos_FazerLoginAluno();
this.CN001_Alunos_BuscarIdAluno();
driver.Close();
}
public void Test_Indexed_Persons_Sorted_Paging_By_Index()
{
const int ITEMS_COUNT = 100;
const string INDEX_NAME_NAME = "name";
// definizione indice su entità Person
var persons = new Index <Person>(
new IndexMaker <Person, string>(INDEX_NAME_NAME, p => p.FirstName)
);
// Generiamo ITEMS_COUNT entità casuali
var fakerRandomizer = new Bogus.Randomizer();
var fakerNameDataset = new Bogus.DataSets.Name("en");
for (var i = 0; i < ITEMS_COUNT; i++)
{
persons.Add(new Person(
fakerNameDataset.FirstName(),
fakerNameDataset.LastName(),
fakerRandomizer.Int(1900, 2000) * 10000 + fakerRandomizer.Int(1, 12) * 100 + fakerRandomizer.Int(1, 31)));
}
// Enumeriamo gli ultimi 10 item ordinati desc per l'indice creato
const int PAGE_SIZE = ITEMS_COUNT / 10;
_output.WriteLine($"Ultimi {PAGE_SIZE} item in ordine inverso:\n");
var lastPageByName = persons[INDEX_NAME_NAME].AsEnumerable().Skip(ITEMS_COUNT - PAGE_SIZE).Take(PAGE_SIZE).Reverse();
foreach (var p in lastPageByName)
{
_output.WriteLine($"{p.FirstName}");
}
}
private static Customer CreateCustomer(_CustomerType type)
{
var name = new Bogus.DataSets.Name();
var address = new Bogus.DataSets.Address();
var random = new Randomizer();
if (type == _CustomerType.Individual)
{
var phoneNo = new Bogus.DataSets.PhoneNumbers();
return(new IndividualCustomer()
{
FirstName = name.FirstName(),
LastName = name.LastName(),
CustomerType = type.ToString(),
Street = address.StreetName(),
City = address.City(),
State = address.State(),
Zipcode = int.Parse(address.ZipCode("######")),
PhoneNo = int.Parse(phoneNo.PhoneNumber("########")),
Age = random.Number(18, 100),
Gender = (int)random.Enum <_Gender>()
});
}
else if (type == _CustomerType.Enterprise)
{
var companyName = new Bogus.DataSets.Company();
return(new EnterpriseCustomer()
{
FirstName = name.FirstName(),
LastName = name.LastName(),
CustomerType = type.ToString(),
Street = address.StreetName(),
City = address.City(),
State = address.State(),
Zipcode = int.Parse(address.ZipCode("######")),
OrganizationName = companyName.CompanyName() + companyName.CompanySuffix(),
OrganizationType = random.Enum <_OrganizationType>().ToString()
});
}
else
{
return(null);
}
}
public void CN002_Cursos_ValidarCadastroCursos()
{
this.CN002_Cursos_AcessarCadastro();
var faker = new Faker("en");
var nameMock = new Bogus.DataSets.Name();
var firstName = nameMock.FirstName(Bogus.DataSets.Name.Gender.Male);
var lastName = nameMock.LastName(Bogus.DataSets.Name.Gender.Male);
curso = new CursoMock()
{
Name = "Curso Portabilis",
//ValMatricula = Math.Round(faker.Random.Decimal(decimal.Parse("50"), decimal.Parse("100")), 2).ToString(),
//ValMensalidade = Math.Round(faker.Random.Decimal(decimal.Parse("200"), decimal.Parse("800")),2).ToString(),
ValMatricula = faker.Random.Number(50, 100).ToString(),
ValMensalidade = faker.Random.Number(20, 800).ToString(),
Periodo = "noturno",
Descricao = faker.Lorem.Sentence(15),
QuantMesesDuracao = "12"
};
this.CN002_Cursos_CadastrarCurso();
this.CN002_Cursos_BuscarIdCurso();
}
public void CN003_Matriculas_ValidarCadastroMatriculas()
{
driver = Application.StartApplication();
var faker = new Faker("en");
var nameMock = new Bogus.DataSets.Name();
var firstName = nameMock.FirstName(Bogus.DataSets.Name.Gender.Male);
var lastName = nameMock.LastName(Bogus.DataSets.Name.Gender.Male);
aluno = new AlunoMock()
{
CPF = faker.Random.Long(11111111111, 99999999999).ToString(),
RG = faker.Random.Long(1111111, 9999999).ToString(),
Telefone = faker.Phone.PhoneNumber(),
DataNascimento = "01/01/1991",
UserName = faker.Internet.UserName(firstName, lastName),
Email = faker.Internet.Email(firstName, lastName, "portabilis.com"),
Senha = faker.Internet.Password(8, true),
Name = firstName + " " + lastName
};
CN001_Alunos alunosCenary = new CN001_Alunos();
CN001_Alunos.aluno = aluno;
CN001_Alunos.driver = driver;
alunosCenary.CN001_Alunos_AcessarCadastro();
alunosCenary.CN001_Alunos_CadastrarAluno();
curso = new CursoMock()
{
Name = "Curso " + faker.Lorem.Sentence(1),
ValMatricula = faker.Random.Number(50, 100).ToString(),
ValMensalidade = faker.Random.Number(20, 800).ToString(),
Periodo = "noturno",
Descricao = faker.Lorem.Sentence(15),
QuantMesesDuracao = "12"
};
CN002_Cursos cursosCenary = new CN002_Cursos();
CN002_Cursos.curso = curso;
CN002_Cursos.driver = driver;
cursosCenary.CN002_Cursos_AcessarCadastro();
cursosCenary.CN002_Cursos_CadastrarCurso();
cursosCenary.CN002_Cursos_BuscarIdCurso();
matricula = new MatriculaMock()
{
Ano = "2018",
Curso = curso.Name
};
this.CN003_Matriculas_AcessarCadastro();
this.CN003_Matriculas_CadastrarMatricula();
this.CN003_Matriculas_BuscarIdMatricula();
matriculaAluno = new MatriculaAlunoMock()
{
Aluno = aluno.Name,
Curso = curso.Name,
Periodo = "noturno",
Ano = "2018"
};
this.CN003_Matriculas_AcessarCadastroAlunoDetail();
this.CN003_Matriculas_CadastrarMatriculaAlunoDetail();
Thread.Sleep(2000);
this.CN003_Matriculas_AcessarCadastroAluno();
this.CN003_Matriculas_CadastrarMatriculaAluno();
this.CN003_Matriculas_ValidarMatriculaDuplicada();
Application.DoLogout(driver);
Application.DoLogin(driver, aluno.UserName, aluno.Senha);
this.CN003_Matriculas_AcessarDetalheMatricula();
this.CN003_Matriculas_PagarMatricula();
driver.Navigate().GoToUrl("http://mighty-waters-85986.herokuapp.com/aluno/dashboard");
this.CN003_Matriculas_AcessarDetalheMatricula();
this.CN003_Matriculas_PagarMensalidade();
this.CN003_Matriculas_ValidarPagamento();
driver.Navigate().GoToUrl("http://mighty-waters-85986.herokuapp.com/aluno/dashboard");
this.CN003_Matriculas_AcessarDetalheMatricula();
//this.CN003_Matriculas_ExcluirMatricula();
}
public Record()
{
var randombogus = new Bogus.DataSets.Name.Gender();
var randomName = new Bogus.DataSets.Name("en");
var randomPhone = new Bogus.DataSets.PhoneNumbers("en");
var randomAddress = new Bogus.DataSets.Address("en");
Random rand = new Random();
if (rand.NextDouble() >= 0.5)
{
Sex = "female";
randombogus = (Bogus.DataSets.Name.Gender) 1;
}
else
{
Sex = "male";
randombogus = (Bogus.DataSets.Name.Gender) 0;
}
//generate race
//source for stats: 2019 US census beaurau estimates
var racerand = rand.NextDouble();
if (racerand <= 0.6)
{
Race = "white";
}
else if (racerand > 0.6 && racerand <= 0.78)
{
Race = "hispanic (of any race)";
}
else if (racerand > 0.78 && racerand <= 0.91)
{
Race = "black";
}
else if (racerand > 0.91 && racerand <= 0.97)
{
Race = "asian";
}
else if (racerand > 0.97 && racerand <= 0.98)
{
Race = "native american or alaskan native";
}
else if (racerand > 0.98 && racerand <= 0.985)
{
Race = "native hawaiian or other pacific islander";
}
else
{
Race = "two or more races";
}
if (Sex == "male")
{
//The multiplier makes taller people slightly heavier. Someone 1.9 meters will be about 8% heavier than someone that's 1.5 meters, compared to without the bonus. Make divisor smaller to make effect more extreme
HeightInMeters = NormalDistribution.Random(1.8, 0.1);
//if (HeightInMeters < 2.0) { var heightWeightMultiplier = (1 + (HeightInMeters - 2.0) / 4.0); }
//else { var heightWeightMultiplier = (2.0 + ((HeightInMeters -2.0) / 4.0)); }
Weight = NormalDistribution.Random(86, 18); //average values and stddev. source: google
Waistline = 40 + ((Weight - 86) / 4); //you gain 1in / 4kg
}
else
{
HeightInMeters = NormalDistribution.Random(1.65, 0.1);
//if (HeightInMeters < 2.0) { var heightWeightMultiplier = (1 + (HeightInMeters - 2.0) / 4.0); }
//else { var heightWeightMultiplier = (2.0 + ((HeightInMeters - 2.0) / 4.0)); }
Weight = NormalDistribution.Random(78, 14);
Waistline = 36 + ((Weight - 86) / 4); //in meters. since 1kg causes +/- 0.01m waistline. average just happens to be 1.0
}
double weightHeightCorrelation = (.5) * ((HeightInMeters * 100) - 180);
Weight += weightHeightCorrelation;
//convert meters to ft/in
var inchFeet = (HeightInMeters / 0.3048);
HeightFeet = (int)inchFeet;
HeightInches = Math.Floor(Math.Round((inchFeet - HeightFeet) / 0.0833));
//convert kg to pounds
WeightInLb = Weight * 2.20462;
FirstName = randomName.FirstName(randombogus);
LastName = randomName.LastName();
PhoneNumber = randomPhone.PhoneNumber();
Address = randomAddress.StreetAddress();
Random gen = new Random();
double probability = gen.NextDouble();
DateTime start = new DateTime(DateTime.Today.Year - 85, 1, 1);
int rangeMax; int rangeMin;
if (probability <= 0.15)
{
rangeMin = 0; rangeMax = (85 * 365 - 65 * 365);
}
else
{
rangeMin = 21 * 365; rangeMax = 65 * 365;
}
DateOfBirth = start.AddDays(gen.Next(rangeMin, rangeMax));
Age = DateTime.Today.Year - DateOfBirth.Year;
if (DateOfBirth.Date > DateTime.Today.AddYears(-Age))
{
Age--;
}
BMI = Weight / Math.Pow(HeightInMeters, 2);
}
public void Test_Indexed_Persons_Find_By_Index()
{
const int ITEMS_COUNT = 1000000;
const string INDEX_NAME_YEAR = "year";
const string INDEX_NAME_MONTH = "month";
const string INDEX_NAME_DAY = "day";
const string INDEX_NAME_NAME = "name";
// Lookup
string[] months =
{
"Jan",
"Feb",
"Mar",
"Apr",
"May",
"Jun",
"Jul",
"Aug",
"Sep",
"Oct",
"Nov",
"Dec"
};
// definizione indici su entità Person
var persons = new Index <Sample_Entities.Person>(
new IndexMaker <Person, string>(INDEX_NAME_NAME, p => p.FirstName),
new IndexMaker <Person, int>(INDEX_NAME_YEAR, p => p.Date / 10000),
new IndexMaker <Person, int>(INDEX_NAME_DAY, p => p.Date % 100),
new IndexMaker <Person, string>(INDEX_NAME_MONTH, p => months[p.Date / 100 % 100 - 1])
);
// Generiamo ITEMS_COUNT entità casuali
var fakerRandomizer = new Bogus.Randomizer();
var fakerNameDataset = new Bogus.DataSets.Name("en");
for (var i = 0; i < ITEMS_COUNT; i++)
{
persons.Add(new Person(
fakerNameDataset.FirstName(),
fakerNameDataset.LastName(),
fakerRandomizer.Int(1900, 2000) * 10000 + fakerRandomizer.Int(1, 12) * 100 + fakerRandomizer.Int(1, 31)));
}
var sw = new Stopwatch();
sw.Reset();
// Ricerca su indice year
const int YEAR_TO_SEARCH_FOR = 1971;
if (persons[INDEX_NAME_YEAR][YEAR_TO_SEARCH_FOR].Any())
{
_output.WriteLine($"Indice '{INDEX_NAME_YEAR}', ricerca su valore {YEAR_TO_SEARCH_FOR}, trovati {persons[INDEX_NAME_YEAR][YEAR_TO_SEARCH_FOR].Count} item");
}
else
{
_output.WriteLine("Nessuno.");
}
_output.WriteLine($"Tempo impiegato: {sw.ElapsedMilliseconds} msec\n");
sw.Restart();
// Ricerca su indice month
const string MONTH_TO_SEARCH_FOR = "Nov";
if (persons[INDEX_NAME_MONTH][MONTH_TO_SEARCH_FOR].Any())
{
_output.WriteLine($"Indice '{INDEX_NAME_MONTH}', ricerca su valore {MONTH_TO_SEARCH_FOR}, trovati {persons[INDEX_NAME_MONTH][MONTH_TO_SEARCH_FOR].Count} item");
}
else
{
_output.WriteLine("Nessuno.");
}
_output.WriteLine($"Tempo impiegato: {sw.ElapsedMilliseconds} msec\n");
// Ricerca su indice day
sw.Restart();
const int DAY_TO_SEARCH_FOR = 17;
if (persons[INDEX_NAME_DAY][DAY_TO_SEARCH_FOR].Any())
{
_output.WriteLine($"Indice '{INDEX_NAME_DAY}', ricerca su valore {DAY_TO_SEARCH_FOR}, trovati {persons[INDEX_NAME_DAY][DAY_TO_SEARCH_FOR].Count} item");
}
else
{
_output.WriteLine("Nessuno.");
}
_output.WriteLine($"Tempo impiegato: {sw.ElapsedMilliseconds} msec\n");
// Ricerca su indice name
sw.Restart();
const string NAME_TO_SEARCH_FOR = "Lawrence";
if (persons[INDEX_NAME_NAME][NAME_TO_SEARCH_FOR].Any())
{
_output.WriteLine($"Indice '{INDEX_NAME_NAME}', ricerca su valore {NAME_TO_SEARCH_FOR}, trovati {persons[INDEX_NAME_NAME][NAME_TO_SEARCH_FOR].Count} item");
}
else
{
_output.WriteLine("Nessuno.");
}
_output.WriteLine($"Tempo impiegato: {sw.ElapsedMilliseconds} msec\n");
}