public async Task <ActionResult <UserTraining> > PostUserTraining(UserTraining userTraining)
{
var currentId = User.Claims.FirstOrDefault(el => el.Type == ClaimTypes.NameIdentifier)?.Value;
if (currentId != userTraining.UserId && !User.IsInRole("admin"))
{
return(BadRequest());
}
var user = await _context.Users
.Include(el => el.UserDiseases)
.FirstAsync(el => el.Id == userTraining.UserId);
var training = await _context.Training.FindAsync(userTraining.TrainingId);
var trainingIndex = TrainingCalculator.CalculateExercise(user, training);
userTraining.ExerciseIndex = trainingIndex;
_context.UserTraining.Add(userTraining);
await _context.SaveChangesAsync();
userTraining.Training = null;
return(Ok(userTraining));
}
public async Task <ActionResult <UserTraining> > Calculate(UserTraining userTraining)
{
var user = await _context.Users
.Include(el => el.UserDiseases)
.FirstAsync(el => el.Id == userTraining.UserId);
var training = await _context.Training.FindAsync(userTraining.TrainingId);
var trainingIndex = TrainingCalculator.CalculateExercise(user, training);
userTraining.ExerciseIndex = trainingIndex;
userTraining.Training = null;
return(Ok(userTraining));
}
public async Task <ActionResult <IEnumerable <Training> > > Recommend(string id)
{
if (!_context.UserTraining.Any(el => el.UserId == id))
{
return(BadRequest("Неможливо побудувати рекомендації для данного користувача через відсутність його оцінок у моделі"));
}
var trainingsToCheck = await _context.Training
.Include(el => el.UserTrainings)
.Where(el => el.UserTrainings.All(s => s.UserId != id) &&
el.UserTrainings.Any())
.ToListAsync();
var user = await _context.Users
.Include(el => el.UserDiseases)
.FirstAsync(el => el.Id == id);
var result = new List <Training>();
foreach (var training in trainingsToCheck)
{
var input = new ModelInput
{
UserId = user.Id,
TrainingId = float.Parse(training.Id.ToString()),
Activity = float.Parse(((int)user.Activity).ToString()),
Age = float.Parse(user.Age.ToString()),
Duration = float.Parse(training.Duration.ToString()),
ExerciseIndex = float.Parse(TrainingCalculator.CalculateExercise(user, training).ToString()),
FigureType = float.Parse(((int)user.FigureType).ToString()),
Gender = float.Parse(((int)user.Gender).ToString()),
Goal = float.Parse(((int)user.Goal).ToString()),
Height = float.Parse(user.Height.ToString()),
Weight = float.Parse(user.Weight.ToString()),
Level = float.Parse(((int)training.Level).ToString())
};
ModelOutput output;
try
{
output = ConsumeModel.Predict(input);
}
catch (Exception ex)
{
output = new ModelOutput()
{
Score = 0
};
}
if (output.Score > 3.5)
{
training.UserTrainings = new[] { new UserTraining()
{
Score = (int)Math.Round(output.Score, 0)
} };
result.Add(training);
}
}
return(result);
}
