public async Task ImportPhrasesAsync()
{
await Task.Run(() =>
{
using (var sr = new StringReader(Resources.Hsk6))
using (var csv = new CsvReader(sr))
{
while (csv.Read())
{
string chineseWord = GetColumn(csv, "Word");
string pinyin = GetColumn(csv, "Pronunciation");
string englishDefinition = GetColumn(csv, "Definition");
int hskLevel = ParseHskLevel(csv);
string[] splitEnglish = englishDefinition.Split(new[] { "CL:" }, StringSplitOptions.None);
string english = splitEnglish[0].Trim();
var phrase = new HskPhrase {
Hanzi = chineseWord, Pinyin = pinyin, English = english, HskLevel = hskLevel
};
List <MeasureWord> measureWords = FindMeasureWords(splitEnglish).ToList();
using (var context = new LanguageLearningModel())
{
phrase.Tags = new List <Tag>();
phrase.MeasureWords = new List <MeasureWord>();
Log.DebugFormat("Adding phrase [{0}]", phrase.Pinyin);
AddPhrase(context, phrase);
var tag = new Tag {
Name = $"HSK{hskLevel}"
};
AddElementToSet(context, tag, phrase.Tags, x => x.Name == tag.Name);
foreach (MeasureWord measureWord in measureWords)
{
AddElementToSet(context, measureWord, phrase.MeasureWords, mw => mw.Hanzi == measureWord.Hanzi);
context.SaveChanges();
}
context.SaveChanges();
}
}
}
});
}
public static void AddSentence(string english, string pinyin, string chinese, List <Phrase> relatedPhrases, List <MeasureWord> relatedMeasureWords)
{
var sentence = new Sentence
{
Pinyin = pinyin,
English = english,
Hanzi = chinese,
RelatedPhrases = relatedPhrases,
RelatedMeasureWords = relatedMeasureWords
};
using (var context = new LanguageLearningModel())
{
// Phrases and measure words must already exist.
foreach (Phrase relatedPhrase in relatedPhrases)
{
context.Phrases.Attach(relatedPhrase);
}
foreach (MeasureWord relatedMeasureWord in relatedMeasureWords)
{
context.MeasureWords.Attach(relatedMeasureWord);
}
Log.InfoFormat("Adding sentence [{0}] with {1} phrases and {2} measure words", sentence.Pinyin, relatedPhrases.Count, relatedMeasureWords.Count);
context.Sentences.Add(sentence);
context.SaveChanges();
Log.InfoFormat("Sentence [{0}] added", sentence.Pinyin);
}
}
