public IActionResult SaveTextAnalysisForUser([FromHeader] string userId, [FromHeader] string timestamp, [FromHeader] string date, [FromHeader] string lastKnownLocation, [FromBody] string text)
{
TextAnalysis userTextAnalysis = null;
var result = helperMethods.processedText(text);
var textAnalysisResult = textAnalysis(result);
using (var database = new LiteDatabase(@"TextAnalysis1.db"))
{
var usersTextAnalysis = database.GetCollection <TextAnalysis>("UserTextAnalysis");
var allUsers = database.GetCollection <User>("User");
var user = allUsers.FindOne(x => x.userId == userId);
if (user == null)
{
return(NotFound("The user with id " + userId + " could not be found! Create the user first."));
}
else
{
var newUserTextAnalysis = new TextAnalysis
{
Id = Guid.NewGuid().ToString(),
userId = userId,
text = text,
textAnalysisResult = textAnalysisResult,
timestamp = timestamp,
date = date,
lastKnownLocation = lastKnownLocation
};
userTextAnalysis = newUserTextAnalysis;
usersTextAnalysis.Insert(newUserTextAnalysis);
}
return(Ok("Text analysis information for user with id " + userId + " has been successfully saved in the database."));
}
}
public ActionResult Index(TextAnalysis model = null)
{
if (model != null)
{
model = new TextAnalysis();
model.Text = "А й правда, крилатим ґрунту не треба.\n" +
"Землі немає, то буде небо.\n\r" +
"Немає поля, то буде воля.\n" +
"Немає пари, то будуть хмари. \n\r" +
"В цьому, напевно, правда пташина...\n" +
"А як же людина? А що ж людина? \n\r" +
"Живе на землі. Сама не літає.\n" +
"А крила має. А крила має! \n\r" +
"Вони, ті крила, не з пуху-пір*я,\n" +
"А з правди, чесноти і довір*я. \n\r" +
"У кого - з вірності у коханні.\n" +
"У кого - з вічного поривання. \n\r" +
"У кого - з щирості до роботи.\n" +
"У кого - з щедрості на турботи. \n\r" +
"У кого - з пісні, або з надії,\n" +
"Або з поезії, або з мрії. \n\r" +
"Людина нібито не літає...\n" +
"А крила має. А крила має!";
}
return View(model);
}
static void Main(string[] args)
{
string json = @"{'text':'The quick brown fox jumps over the lazy dog!','word_count':9,'mean_word_length':3.888888888888889,'unique_letters':['t','h','e','q','u','i','c','k','b','r','o','w','n','f','x','j','m','p','s','v','l','a','z','y','d','g'],'word_frequencies':{'the':2,'quick':1,'brown':1,'fox':1,'jumps':1,'over':1,'lazy':1,'dog':1}}";
TextAnalysis analysis = JsonConvert.DeserializeObject <TextAnalysis>(json);
Console.WriteLine("Executed successfully");
// TODO: check that analysis contains correct data
}
private void MergeClick(object sender, RoutedEventArgs e)
{
var selected = ConnectionList.SelectedItems;
var unions = new List <ConnectionUnion>();
var tempnames = new List <string>();
foreach (ConnectionUnion item in selected)
{
unions.Add(item);
tempnames.Add(item.Name);
}
if (unions.Count != 1)
{
var predictedname = TextAnalysis.GetCommonInListOfStrings(tempnames);
var tempunion = new ConnectionUnion("new");
var dialog = new Popups.PopupDialog("Введите имя для нового массива.", predictedname);
if (dialog.ShowDialog() == true)
{
tempunion.Name = dialog.ResponseText;
}
var tempchanellist = new List <Chanel>();
foreach (var union in unions)
{
foreach (var chanel in union.Chanels)
{
tempchanellist.Add(chanel);
}
Connections.Remove(union);
}
tempunion.Chanels = tempchanellist.OrderBy(x => x.ConnectionName, new AlphanumComparatorFast()).ToList();
Connections.Add(tempunion);
ConnectionList.ItemsSource = null;
ConnectionList.ItemsSource = Connections;
var selectedindex = ConnectionList.SelectedIndex;
SelectedUnion.ItemsSource = null;
if (selectedindex != -1)
{
SelectedUnion.ItemsSource = Connections.ElementAt(selectedindex).Chanels;
ConnectionList.SelectedIndex = selectedindex;
}
else
{
var lastindex = Connections.Count - 1;
SelectedUnion.ItemsSource = Connections.ElementAt(lastindex).Chanels;
ConnectionList.SelectedIndex = lastindex;
}
}
}
public void RunTasks()
{
//TaskOne(1000);
TextAnalysis tasktwo = new TextAnalysis("hello, world!");
tasktwo.NumberOfDiffCharacters();
tasktwo.TotalNumberOfCharacters();
tasktwo.PercentNonCharacters();
tasktwo.NumberOfSpecificCharacter('l');
}
public List <TextAnalisysFormField> AnalyzeSpeechAsync([FromBody] IEnumerable <SpeechAnalisys> speech)
{
var text = string.Join(" ",
speech.Select(x =>
{
var text = x.Sentence.Replace("St.", "Street");
if (!text.EndsWith(".") && !text.EndsWith("!") && !text.EndsWith("?"))
{
text += "!";
}
return(text);
}));
var result = AnalyzeSyntaxHelper.AnalyzeSyntax(text);
var reverseTokens = TextAnalysisUtils.ReverseRelations(result.Tokens.ToList());
var sentences = new List <List <ReversedToken> >();
var nextSentenceStart = 0;
while (nextSentenceStart < text.Length)
{
var sentence = TextAnalysisUtils.FindNextSentence(reverseTokens, text, nextSentenceStart);
var lastToken = sentence.Last();
nextSentenceStart = lastToken.OriginalToken.Text.BeginOffset + 1;
sentences.Add(sentence);
}
var summaries = new List <SentenceSummary>();
foreach (var item in sentences.Select((sentence, index) => new { sentence, index }))
{
summaries.AddIfNotNull(TextAnalysisLogic.SummarizeFacts(item.sentence, item.index, summaries));
}
var extraInfo = new List <SentenceSummary>();
foreach (var question in summaries.Where(x => x.GeneralQuestion != null || x.SpecialQuestion != null))
{
TextAnalysisLogic.AssignAnswer(question, summaries, extraInfo);
}
var analysis = new TextAnalysis()
{
Summaries = summaries,
Extras = extraInfo
};
return(TextAnalysisLogic.PlaceAnswers(analysis)); // Map from result
}
public async Task CanSerializeBodyRequestCorrectly()
{
var stream = new MemoryStream();
using (var streamPipeWriter = new StreamPipeWriter(stream))
{
TextAnalysis.WriteRequest(streamPipeWriter, "This is a body of text\n with a new line");
await streamPipeWriter.FlushAsync();
}
stream.Flush();
stream.Seek(0, SeekOrigin.Begin);
var text = new StreamReader(stream, Encoding.UTF8).ReadToEnd();
text.ShouldBe(@"{""documents"":[{""language"":""en"",""id"":""doc"",""text"":""This is a body of text\n with a new line""}]}");
}
public ActionResult Analysis(TextAnalysis model)
{
var txt = model.Text;
txt = Regex.Replace(txt, @"[^\w\s]", string.Empty);
txt = txt.Replace("\r\n", string.Empty);
var words = txt.Split();
var dictionary = new Dictionary<string, int>();
foreach (var word in words)
{
if (dictionary.ContainsKey(word))
{
dictionary[word] = dictionary[word] + 1;
}
else
{
dictionary.Add(word, 1);
}
}
model.Counts = dictionary;
return View("Index", model);
}
static void Main(string[] args)
{
var line = "================================";
var read = new TextReader("input.txt");
var parser = new TextParser(read.Read());
var text = parser.Parse();
Console.WriteLine(text);
//1 Вывести все предложения заданного текста в порядке возрастания количества слов в каждом из них.
Console.WriteLine(line);
foreach (var x in text.SortSentences())
{
Console.WriteLine(x);
}
//2 Во всех вопросительных предложениях текста найти и напечатать без повторений слова заданной длины.
Console.WriteLine(line);
foreach (var x in text.FindWordsOfPredeterminedLength(7))
{
Console.WriteLine(x);
}
//3 Из текста удалить все слова заданной длины, начинающиеся на согласную букву.
Console.WriteLine(line);
var copyOfText = (Text)text.Clone();
copyOfText.RemoveWordsWithFirstConsonant(7);
Console.WriteLine(copyOfText);
//4 В некотором предложении текста слова заданной длины заменить указанной подстрокой, длина которой может не совпадать с длиной слова.
Console.WriteLine(line);
text.ReplaceWords(0, 5, "Stas");
Console.WriteLine(text);
TextAnalysis hello = new TextAnalysis(text);
Console.WriteLine(hello.PrintTable());
Console.ReadKey();
}
public static List <TextAnalisysFormField> PlaceAnswers(TextAnalysis analysis)
{
var conversion = new List <TextAnalisysFormField>();
foreach (var question in analysis.Summaries.Where(x => x.Answer == null))
{
if (Constants.NameKeywords.CaseInsensitiveContains(question.KeyWords))
{
conversion.Add(new TextAnalisysFormField()
{
Key = "bio-fullname", Value = question.CombinedAnswerText
});
}
else if (Constants.AddressKeywords.CaseInsensitiveContains(question.KeyWords))
{
conversion.Add(new TextAnalisysFormField()
{
Key = "bio-address", Value = question.CombinedAnswerText
});
}
else if (Constants.CityKeywords.CaseInsensitiveContains(question.KeyWords))
{
conversion.Add(new TextAnalisysFormField()
{
Key = "bio-city", Value = question.CombinedAnswerText
});
}
else if (Constants.StateKeywords.CaseInsensitiveContains(question.KeyWords))
{
conversion.Add(new TextAnalisysFormField()
{
Key = "bio-state", Value = question.CombinedAnswerText
});
}
else if (Constants.PhoneKeywords.CaseInsensitiveContains(question.KeyWords) && (Constants.RelationshipTypes.CaseInsensitiveContains(question.KeyWords) || question.Names.Any()))
{
conversion.Add(new TextAnalisysFormField()
{
Key = "emergency-phone", Value = question.CombinedAnswerText
});
}
else if (Constants.PhoneKeywords.CaseInsensitiveContains(question.KeyWords))
{
conversion.Add(new TextAnalisysFormField()
{
Key = "bio-phone", Value = question.CombinedAnswerText
});
}
else if (Constants.DateKeywords.CaseInsensitiveContains(question.KeyWords))
{
conversion.Add(new TextAnalisysFormField()
{
Key = "bio-dob", Value = question.CombinedAnswerText
});
}
else if (Constants.ContactKeywords.CaseInsensitiveContains(question.KeyWords))
{
conversion.Add(new TextAnalisysFormField()
{
Key = "emergency-name", Value = question.CombinedAnswerText
});
}
else if (Constants.RelationshipKeywords.CaseInsensitiveContains(question.KeyWords))
{
conversion.Add(new TextAnalisysFormField()
{
Key = "emergency-relationship", Value = question.CombinedAnswerText
});
}
else if (Constants.MedicineQuestionKeywords.CaseInsensitiveContains(question.KeyWords))
{
conversion.Add(new TextAnalisysFormField()
{
Key = "medical-medications", Value = GetGeneralQuestionAnswer(question.CombinedAnswerText)
});
}
else if (Constants.HeadacheQuestionKeywords.CaseInsensitiveContains(question.KeyWords))
{
conversion.Add(new TextAnalisysFormField()
{
Key = "health-headaches", Value = GetGeneralQuestionAnswer(question.CombinedAnswerText)
});
}
else if (Constants.CancerQuestionKeywords.CaseInsensitiveContains(question.KeyWords))
{
conversion.Add(new TextAnalisysFormField()
{
Key = "health-cancer", Value = GetGeneralQuestionAnswer(question.CombinedAnswerText)
});
}
else if (Constants.HeartQuestionKeywords.CaseInsensitiveContains(question.KeyWords))
{
conversion.Add(new TextAnalisysFormField()
{
Key = "health-heart", Value = GetGeneralQuestionAnswer(question.CombinedAnswerText)
});
}
else if (Constants.NumbnessQuestionKeywords.CaseInsensitiveContains(question.KeyWords))
{
conversion.Add(new TextAnalisysFormField()
{
Key = "health-numbness", Value = GetGeneralQuestionAnswer(question.CombinedAnswerText)
});
}
else if (Constants.DiabetesQuestionKeywords.CaseInsensitiveContains(question.KeyWords))
{
conversion.Add(new TextAnalisysFormField()
{
Key = "health-diabetes", Value = GetGeneralQuestionAnswer(question.CombinedAnswerText)
});
}
else if (Constants.PressureQuestionKeywords.CaseInsensitiveContains(question.KeyWords))
{
conversion.Add(new TextAnalisysFormField()
{
Key = "health-pressure", Value = GetGeneralQuestionAnswer(question.CombinedAnswerText)
});
}
else if (Constants.AllergyQuestionKeywords.CaseInsensitiveContains(question.KeyWords))
{
conversion.Add(new TextAnalisysFormField()
{
Key = "health-allergy", Value = GetGeneralQuestionAnswer(question.CombinedAnswerText)
});
}
else if (Constants.SpineInjuriesQuestionKeywords.CaseInsensitiveContains(question.KeyWords))
{
conversion.Add(new TextAnalisysFormField()
{
Key = "health-neckback", Value = GetGeneralQuestionAnswer(question.CombinedAnswerText)
});
}
else if (Constants.AppointmentKeywords.CaseInsensitiveContains(question.KeyWords))
{
conversion.Add(new TextAnalisysFormField()
{
Key = "reason-appointment", Value = question.CombinedAnswerText
});
}
}
var medicalDetails = new TextAnalisysFormField()
{
Key = "medical-details"
};
var medicalDetailsText = new StringBuilder();
foreach (var extra in analysis.Extras)
{
if (Constants.CityKeywords.CaseInsensitiveContains(extra.KeyWords))
{
conversion.Add(new TextAnalisysFormField()
{
Key = "bio-city", Value = extra.CombinedAnswerText
});
}
else if (Constants.StateKeywords.CaseInsensitiveContains(extra.KeyWords))
{
conversion.Add(new TextAnalisysFormField()
{
Key = "bio-state", Value = extra.CombinedAnswerText
});
}
else if (Constants.RelationshipKeywords.CaseInsensitiveContains(extra.KeyWords))
{
conversion.Add(new TextAnalisysFormField()
{
Key = "emergency-relationship", Value = extra.CombinedAnswerText
});
}
else if (Constants.MedicineQuestionKeywords.CaseInsensitiveContains(extra.KeyWords))
{
medicalDetailsText.AppendWithSpace("Medicine: " + extra.CombinedAnswerText);
}
else if (Constants.HeadacheQuestionKeywords.CaseInsensitiveContains(extra.KeyWords))
{
medicalDetailsText.AppendWithSpace("Headache: " + extra.CombinedAnswerText);
}
else if (Constants.CancerQuestionKeywords.CaseInsensitiveContains(extra.KeyWords))
{
medicalDetailsText.AppendWithSpace("Cancer: " + extra.CombinedAnswerText);
}
else if (Constants.HeartQuestionKeywords.CaseInsensitiveContains(extra.KeyWords))
{
medicalDetailsText.AppendWithSpace("Heart/Circulation: " + extra.CombinedAnswerText);
}
else if (Constants.NumbnessQuestionKeywords.CaseInsensitiveContains(extra.KeyWords))
{
medicalDetailsText.AppendWithSpace("Numbness: " + extra.CombinedAnswerText);
}
else if (Constants.DiabetesQuestionKeywords.CaseInsensitiveContains(extra.KeyWords))
{
medicalDetailsText.AppendWithSpace("Diabetes: " + extra.CombinedAnswerText);
}
else if (Constants.PressureQuestionKeywords.CaseInsensitiveContains(extra.KeyWords))
{
medicalDetailsText.AppendWithSpace("Blood Pressure: " + extra.CombinedAnswerText);
}
else if (Constants.AllergyQuestionKeywords.CaseInsensitiveContains(extra.KeyWords))
{
medicalDetailsText.AppendWithSpace("Allergies: " + extra.CombinedAnswerText);
}
else if (Constants.SpineInjuriesQuestionKeywords.CaseInsensitiveContains(extra.KeyWords))
{
medicalDetailsText.AppendWithSpace("Neck/Back: " + extra.CombinedAnswerText);
}
}
medicalDetails.Value = medicalDetailsText.ToString();
conversion.Add(medicalDetails);
return(conversion);
}
public JObject Post(TextAnalysis text)
{
return(new JObject {
["message"] = text.Calculate()
});
}
