|
public TokenStream ( string fieldName, |
||
| fieldName | string | the name of the field the created TokenStream is used for |
| reader | ||
| Résultat | ||
/// <summary> Simple similarity query generators.
/// Takes every unique word and forms a boolean query where all words are optional.
/// After you get this you'll use to to query your <see cref="IndexSearcher"/> for similar docs.
/// The only caveat is the first hit returned <b>should be</b> your source document - you'll
/// need to then ignore that.
///
/// <p/>
///
/// So, if you have a code fragment like this:
/// <br/>
/// <code>
/// Query q = formSimilaryQuery( "I use Lucene to search fast. Fast searchers are good", new StandardAnalyzer(), "contents", null);
/// </code>
///
/// <p/>
///
/// The query returned, in string form, will be <c>'(i use lucene to search fast searchers are good')</c>.
///
/// <p/>
/// The philosophy behind this method is "two documents are similar if they share lots of words".
/// Note that behind the scenes, Lucenes scoring algorithm will tend to give two documents a higher similarity score if the share more uncommon words.
///
/// <P/>
/// This method is fail-safe in that if a long 'body' is passed in and
/// <see cref="BooleanQuery.Add"/> (used internally)
/// throws
/// <see cref="BooleanQuery.TooManyClauses"/>, the
/// query as it is will be returned.
/// </summary>
/// <param name="body">the body of the document you want to find similar documents to
/// </param>
/// <param name="a">the analyzer to use to parse the body
/// </param>
/// <param name="field">the field you want to search on, probably something like "contents" or "body"
/// </param>
/// <param name="stop">optional set of stop words to ignore
/// </param>
/// <returns> a query with all unique words in 'body'
/// </returns>
/// <throws> IOException this can't happen... </throws>
public static Query FormSimilarQuery(System.String body, Analyzer a, System.String field, ISet<string> stop)
{
TokenStream ts = a.TokenStream(field, new System.IO.StringReader(body));
ITermAttribute termAtt = ts.AddAttribute<ITermAttribute>();
BooleanQuery tmp = new BooleanQuery();
ISet<string> already = Lucene.Net.Support.Compatibility.SetFactory.CreateHashSet<string>(); // ignore dups
while (ts.IncrementToken())
{
String word = termAtt.Term;
// ignore opt stop words
if (stop != null && stop.Contains(word))
continue;
// ignore dups
if (already.Contains(word))
continue;
already.Add(word);
// add to query
TermQuery tq = new TermQuery(new Term(field, word));
try
{
tmp.Add(tq, Occur.SHOULD);
}
catch (BooleanQuery.TooManyClauses)
{
// fail-safe, just return what we have, not the end of the world
break;
}
}
return tmp;
}
public List <String> cutWord(string word, Lucene.Net.Analysis.Analyzer analysis)
{
List <string> result = new List <string>();
//TokenStream tokenStream = analysis.ReusableTokenStream("", new StringReader(word));
TokenStream tokenStream = analysis.TokenStream("field1", new StringReader(word));
//IndexWriterConfig iwc = new IndexWriterConfig(LuceneVersion.LUCENE_48, analyzer);
bool boolHas = tokenStream.HasAttributes;
ITermAttribute attrbutes;// = tokenStream.GetAttribute<ITermAttribute>();
//IEnumerable<Lucene.Net.Util.Attribute> aaa = tokenStream.GetAttributeImplsIterator();
//IEnumerable<Type> bbb = tokenStream.GetAttributeTypesIterator();
while (tokenStream.IncrementToken())
{
attrbutes = tokenStream.GetAttribute <ITermAttribute>();
result.Add(attrbutes.Term.ToString());
}
tokenStream.Reset();
//attrbutes.
//Token token = tokenStream.;
//PanGu.Segment segment = new PanGu.Segment();
tokenStream.End();
return(result);
}
public static void Highlight(Document d, string query, Analyzer analyzer)
{
string contents = d.Get("contents");
SimpleHTMLFormatter formatter = new SimpleHTMLFormatter("<span class=\"highlight\"><b>", "</b></span>");
//SpanGradientFormatter formatter = new SpanGradientFormatter(10.0f, null, null, "#F1FD9F", "#EFF413");
//SimpleHTMLEncoder encoder = new SimpleHTMLEncoder();
SimpleFragmenter fragmenter = new SimpleFragmenter(250);
Highlighter hiliter = new Highlighter(formatter, new QueryScorer(QueryParser.Parse(query, "contents", analyzer)));
hiliter.SetTextFragmenter(fragmenter);
int numfragments = contents.Length / fragmenter.GetFragmentSize() + 1;// +1 ensures its never zero. More than the required number of fragments dont harm.
StringBuilder result = new StringBuilder("<html><meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\"><style>.highlight{background:yellow;}</style><head><title>Search Results - ");
result.Append(d.Get("filename"));
result.Append("</title></head><body><font face=Arial size=5>");
TokenStream tokenstream = analyzer.TokenStream("contents", new System.IO.StringReader(contents));
TextFragment[] frags = hiliter.GetBestTextFragments(tokenstream, contents, false, numfragments);
foreach (TextFragment frag in frags)
{
if (frag.GetScore() > 0)
{
result.Append(frag.ToString() + "<br/><hr/><br/>");
}
}
string contentspath = System.IO.Path.Combine(System.Windows.Forms.Application.StartupPath, "contents.html");
result.Append("</font><a target=_self href=\"file:///");
result.Append(contentspath);
result.Append("\">View Original Document...</a>");
result.Append("</body></html>");
result.Replace("\n", "<br/>");
string resultspath = System.IO.Path.Combine(System.Windows.Forms.Application.StartupPath, "results.html");
System.IO.File.WriteAllText(resultspath, result.ToString());
//webBrowser1.Url = new Uri("file:///" + resultspath);
Highlighter hiliter2 = new Highlighter(formatter, new QueryScorer(QueryParser.Parse(query, "contents", analyzer)));
hiliter2.SetTextFragmenter(fragmenter);
TokenStream tokstr = analyzer.TokenStream(new System.IO.StringReader(contents));
StringBuilder htmlcontents = new StringBuilder("<html><meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\"><style>.highlight{background:yellow;}</style><body><font face=Arial size=5>");
htmlcontents.Append(hiliter2.GetBestFragments(tokstr, contents, numfragments, "..."));
htmlcontents.Append("</font></body></html>");
htmlcontents.Replace("\n", "<br/>");
System.IO.File.WriteAllText(contentspath, htmlcontents.ToString());
}
public override TokenStream TokenStream(System.String fieldName, System.IO.TextReader reader)
{
Analyzer analyzer = (Analyzer)analyzerMap[fieldName];
if (analyzer == null)
{
analyzer = defaultAnalyzer;
}
return(analyzer.TokenStream(fieldName, reader));
}
public virtual void AssertAnalyzesTo(Analyzer a, System.String input, System.String[] output)
{
TokenStream ts = a.TokenStream("dummy", new System.IO.StringReader(input));
for (int i = 0; i < output.Length; i++)
{
Token t = ts.Next();
Assert.IsNotNull(t);
Assert.AreEqual(t.TermText(), output[i]);
}
Assert.IsNull(ts.Next());
ts.Close();
}
protected virtual void AssertAnalyzesTo(Analyzer analyzer, String input, String[] output)
{
var tokenStream = analyzer.TokenStream("dummyFieldName", new StringReader(input));
for( var i = 0; i < output.Length; i++ )
{
var t = tokenStream.Next();
Assert.IsNotNull(t);
Assert.AreEqual(output[i], t.TermText());
}
Assert.IsNull(tokenStream.Next());
tokenStream.Close();
}
public List <string> TokenizeString(string untokenized)
{
System.IO.StringReader stringReader = new System.IO.StringReader(untokenized);
TokenStream tokenStream = analyzer.TokenStream("text", stringReader);
List <string> tokenized = new List <string>();
ITermAttribute termAtt = tokenStream.GetAttribute <ITermAttribute>();
while (tokenStream.IncrementToken())
{
tokenized.Add(termAtt.Term);
}
return(tokenized);
}
public virtual void AssertAnalyzesTo(Analyzer a, System.String input, System.String[] output)
{
TokenStream ts = a.TokenStream("dummy", new System.IO.StringReader(input));
for (int i = 0; i < output.Length; i++)
{
Token t = ts.Next();
Assert.IsNotNull(t);
Assert.AreEqual(t.TermText(), output[i]);
}
Assert.IsNull(ts.Next());
ts.Close();
}
private static List<string> GetTokens(string keywords, Analyzer analyser)
{
var tokenStream = analyser.TokenStream(null, new StringReader(keywords));
var termAttribute = tokenStream.GetAttribute<ITermAttribute>();
tokenStream.Reset();
var list = new List<string>();
while (tokenStream.IncrementToken())
{
var term = termAttribute.Term;
list.Add(term);
}
return list;
}
public virtual void AssertThreadSafe(Analyzer analyzer)
{
int numTestPoints = 100;
int numThreads = TestUtil.NextInt(Random(), 3, 5);
Dictionary <string, BytesRef> map = new Dictionary <string, BytesRef>();
// create a map<String,SortKey> up front.
// then with multiple threads, generate sort keys for all the keys in the map
// and ensure they are the same as the ones we produced in serial fashion.
for (int i = 0; i < numTestPoints; i++)
{
string term = TestUtil.RandomSimpleString(Random());
IOException priorException = null;
TokenStream ts = analyzer.TokenStream("fake", new StreamReader(term));
try
{
ITermToBytesRefAttribute termAtt = ts.AddAttribute <ITermToBytesRefAttribute>();
BytesRef bytes = termAtt.BytesRef;
ts.Reset();
Assert.IsTrue(ts.IncrementToken());
termAtt.FillBytesRef();
// ensure we make a copy of the actual bytes too
map[term] = BytesRef.DeepCopyOf(bytes);
Assert.IsFalse(ts.IncrementToken());
ts.End();
}
catch (IOException e)
{
priorException = e;
}
finally
{
IOUtils.CloseWhileHandlingException(priorException, ts);
}
}
ThreadClass[] threads = new ThreadClass[numThreads];
for (int i = 0; i < numThreads; i++)
{
threads[i] = new ThreadAnonymousInnerClassHelper(this, analyzer, map);
}
for (int i = 0; i < numThreads; i++)
{
threads[i].Start();
}
for (int i = 0; i < numThreads; i++)
{
threads[i].Join();
}
}
// This is a simplified query builder which works for single Terms and single Phrases
// Returns null, TermQuery, or PhraseQuery
public static Lucene.Net.Search.Query GetFieldQuery(Analyzer analyzer, string field, string queryText)
{
TokenStream stream = analyzer.TokenStream(field, new StringReader(queryText));
TokenFilter filter = new CachingTokenFilter(stream);
filter.Reset();
// This attribute way of getting token properties isn't very good, but it's the non-obsolete one.
var attr1 = filter.GetAttribute<ITermAttribute>();
Func<string> getText = () => attr1 != null ? attr1.Term : null;
Func<int> getPositionIncrement;
if (filter.HasAttribute<IPositionIncrementAttribute>())
{
var attr = filter.GetAttribute<IPositionIncrementAttribute>();
getPositionIncrement = () => attr.PositionIncrement;
}
else
{
getPositionIncrement = () => 1;
}
// 0 tokens
if (!filter.IncrementToken())
{
return new BooleanQuery();
}
// 1 token?
string token1 = getText();
int position = 0;
if (!filter.IncrementToken())
{
return new TermQuery(new Term(field, token1));
}
// many tokens - handle first token
PhraseQuery ret = new PhraseQuery();
ret.Add(new Term(field, token1));
do
{
// handle rest of tokens
string tokenNext = getText();
position += getPositionIncrement();
ret.Add(new Term(field, tokenNext), position);
}
while (filter.IncrementToken());
return ret;
}
public static IEnumerable<string> TokensFromAnalysis(Analyzer analyzer, String text)
{
TokenStream stream = analyzer.TokenStream("contents", new StringReader(text));
List<string> result = new List<string>();
TermAttribute tokenAttr = (TermAttribute)stream.GetAttribute(typeof(TermAttribute));
while (stream.IncrementToken())
{
result.Add(tokenAttr.Term());
}
stream.End();
stream.Close();
return result;
}
public static IEnumerable<string> TokensFromAnalysis(Analyzer analyzer, String text)
{
using (TokenStream stream = analyzer.TokenStream("contents", new StringReader(text)))
{
var result = new List<string>();
var tokenAttr = (TermAttribute) stream.GetAttribute<ITermAttribute>();
while (stream.IncrementToken())
{
result.Add(tokenAttr.Term);
}
stream.End();
return result;
}
}
public void PositonOfWOrds()
{
Lucene.Net.Analysis.Analyzer analyzer = AnalyzerList[0].LuceneAnalyzer as Analyzer;
int termCounter = 0;
if (analyzer != null)
{
AnalyzerView view = AnalyzerViews[0] as AnalyzerView;
StringReader stringReader = new StringReader(sb.ToString());
TokenStream tokenStream = analyzer.TokenStream("defaultFieldName", stringReader);
String strValue = view.GetView(tokenStream, out termCounter).Trim();
Console.WriteLine("PositonOfWOrds Details : " + strValue);
}
}
public void WordCountFrequency()
{
Lucene.Net.Analysis.Analyzer analyzer = AnalyzerList[0].LuceneAnalyzer as Analyzer;
int termCounter = 0;
if (analyzer != null)
{
AnalyzerView view = AnalyzerViews[1] as AnalyzerView;
StringReader stringReader = new StringReader(sb.ToString());
TokenStream tokenStream = analyzer.TokenStream("defaultFieldName", stringReader);
String strValue = view.GetView(tokenStream, out termCounter).Trim();
Console.WriteLine("WordCountFrequency Details : " + strValue);
}
Console.WriteLine(string.Format("Total of {0} Term(s) Found.", termCounter));
}
public static void DisplayTokenWithPositions(Analyzer analyzer, string text)
{
var stream = analyzer.TokenStream("contents", new StringReader(text));
var termAttribute = stream.AddAttribute(typeof (TermAttribute)) as TermAttribute;
var positionIncrement =
stream.AddAttribute(typeof (PositionIncrementAttribute)) as PositionIncrementAttribute;
int position = 0;
while (stream.IncrementToken())
{
int increment = positionIncrement.GetPositionIncrement();
if(increment>0)
{
position = position + increment;
Console.WriteLine();
Console.WriteLine("{0}: ", position);
}
Console.WriteLine("[{0}]", termAttribute.Term());
}
Console.WriteLine();
}
public virtual void AssertAnalyzesTo(Analyzer a, System.String input, System.String[] expectedImages, System.String[] expectedTypes, int[] expectedPosIncrs)
{
TokenStream ts = a.TokenStream("dummy", new System.IO.StringReader(input));
for (int i = 0; i < expectedImages.Length; i++)
{
Token t = ts.Next();
Assert.IsNotNull(t);
Assert.AreEqual(expectedImages[i], t.TermText());
if (expectedTypes != null)
{
Assert.AreEqual(expectedTypes[i], t.Type());
}
if (expectedPosIncrs != null)
{
Assert.AreEqual(expectedPosIncrs[i], t.GetPositionIncrement());
}
}
Assert.IsNull(ts.Next());
ts.Close();
}
/// <summary>
/// Perform synonym expansion on a query.
/// </summary>
/// <param name="query">query</param>
/// <param name="syns">syns</param>
/// <param name="a">a</param>
/// <param name="field">field</param>
/// <param name="boost">boost</param>
public static Query Expand(String query,
Searcher syns,
Analyzer a,
String field,
float boost)
{
already = new List<String>(); // avoid dups
var top = new List<String>(); // needs to be separately listed..
var ts = a.TokenStream(field, new StringReader(query));
var termAtt = ts.AddAttribute<TermAttribute>();
while (ts.IncrementToken())
{
var word = termAtt.Term;
if (!already.Contains(word))
{
already.Add(word);
top.Add(word);
}
}
tmp = new BooleanQuery();
// [2] form query
System.Collections.IEnumerator it = top.GetEnumerator();
while (it.MoveNext())
{
// [2a] add to level words in
var word = (String)it.Current;
var tq = new TermQuery(new Term(field, word));
tmp.Add(tq, Occur.SHOULD);
var c = new CollectorImpl(field, boost);
syns.Search(new TermQuery(new Term(Syns2Index.F_WORD, word)), c);
}
return tmp;
}
public override void Run()
{
try
{
foreach (KeyValuePair <string, BytesRef> mapping in Map)
{
string term = mapping.Key;
BytesRef expected = mapping.Value;
IOException priorException = null;
TokenStream ts = Analyzer.TokenStream("fake", new StreamReader(term));
try
{
ITermToBytesRefAttribute termAtt = ts.AddAttribute <ITermToBytesRefAttribute>();
BytesRef bytes = termAtt.BytesRef;
ts.Reset();
Assert.IsTrue(ts.IncrementToken());
termAtt.FillBytesRef();
Assert.AreEqual(expected, bytes);
Assert.IsFalse(ts.IncrementToken());
ts.End();
}
catch (IOException e)
{
priorException = e;
}
finally
{
IOUtils.CloseWhileHandlingException(priorException, ts);
}
}
}
catch (IOException e)
{
throw (Exception)e;
}
}
public static List<string> SplitKeyWords(string keywords, Analyzer analyzer)
{
System.IO.StreamReader reader = new System.IO.StreamReader(PanGu.Framework.Stream.WriteStringToStream(keywords,
Encoding.UTF8), Encoding.UTF8);
TokenStream tokenStream = analyzer.TokenStream("", reader);
global::Lucene.Net.Analysis.Token token = tokenStream.Next();
List<string> result = new List<string>();
while (token != null)
{
result.Add(keywords.Substring(token.StartOffset(), token.EndOffset() - token.StartOffset()));
token = tokenStream.Next();
}
return result;
}
public virtual void AssertAnalyzesTo(Analyzer a, System.String input, System.String[] output)
{
TokenStream ts = a.TokenStream("dummy", new System.IO.StringReader(input));
for (int i = 0; i < output.Length; i++)
{
Token t = ts.Next();
System.Diagnostics.Trace.Assert(t != null); //// assertNotNull(t);
System.Diagnostics.Trace.Assert(output[i] == t.TermText()); //// assertEquals(output[i], t.TermText());
}
System.Diagnostics.Trace.Assert(ts.Next() == null); //// assertNull(ts.Next());
ts.Close();
}
public void DoStandardHighlights(Analyzer analyzer, IndexSearcher searcher,
TopDocs hits, Query query, IFormatter formatter, bool expandMT)
{
IFragmenter frag = new SimpleFragmenter(20);
for (int i = 0; i < hits.TotalHits; i++)
{
String text = searcher.Doc(hits.ScoreDocs[i].Doc).Get(HighlighterTest.FIELD_NAME);
int maxNumFragmentsRequired = 2;
String fragmentSeparator = "...";
IScorer scorer = null;
TokenStream tokenStream = analyzer.TokenStream(HighlighterTest.FIELD_NAME, new StringReader(text));
if (Mode == QUERY)
{
scorer = new QueryScorer(query);
}
else if (Mode == QUERY_TERM)
{
scorer = new QueryTermScorer(query);
}
var highlighter = new Highlighter(formatter, scorer) {TextFragmenter = frag};
String result = highlighter.GetBestFragments(tokenStream, text, maxNumFragmentsRequired,
fragmentSeparator);
Console.WriteLine("\t" + result);
}
}
public static void AssertAnalyzesTo(Analyzer a, String input, String[] output, int[] startOffsets, int[] endOffsets, String[] types, int[] posIncrements)
{
AssertTokenStreamContents(a.TokenStream("dummy", new System.IO.StringReader(input)), output, startOffsets, endOffsets, types, posIncrements, input.Length);
}
private static Query ExecuteAnalyzer(Analyzer analyzer, string field, string text)
{
TokenStream tokenStream = analyzer.TokenStream(field, new StringReader(text));
ITermAttribute termAttribute = tokenStream.AddAttribute<ITermAttribute>();
IPositionIncrementAttribute positionIncrementAttribute = tokenStream.AddAttribute<IPositionIncrementAttribute>();
List<List<Term>> terms = new List<List<Term>>();
List<Term> current = null;
while (tokenStream.IncrementToken())
{
if (positionIncrementAttribute.PositionIncrement > 0)
{
current = new List<Term>();
terms.Add(current);
}
if (current != null)
{
current.Add(new Term(field, termAttribute.Term));
}
}
if (terms.Count == 1 && terms[0].Count == 1)
{
return new TermQuery(terms[0][0]);
}
else if (terms.Select(l => l.Count).Sum() == terms.Count)
{
PhraseQuery phraseQuery = new PhraseQuery();
foreach (var positionList in terms)
{
phraseQuery.Add(positionList[0]);
}
return phraseQuery;
}
else
{
MultiPhraseQuery multiPhraseQuery = new MultiPhraseQuery();
foreach (var positionList in terms)
{
multiPhraseQuery.Add(positionList.ToArray());
}
return multiPhraseQuery;
}
}
public static string ToTokenStreamString(this string text, Analyzer analyzer) {
var tokens = new StringBuilder();
var reader = new StringReader(text);
var tokenStream = analyzer.TokenStream("x", reader);
while(true) {
var term = tokenStream.Next();
if(term == null) {
break;
}
tokens.Append(term.Term());
tokens.Append(" ");
}
return tokens.ToString();
}
//convenience method
public static TokenStream GetTokenStream(String field, String contents, Analyzer analyzer)
{
return analyzer.TokenStream(field, new StringReader(contents));
}
private static List<string> AnalyzeText(Analyzer analyzer, string field, string text) {
if (String.IsNullOrEmpty(text)) {
return new List<string>();
}
var result = new List<string>();
using (var sr = new System.IO.StringReader(text)) {
using (TokenStream stream = analyzer.TokenStream(field, sr)) {
while (stream.IncrementToken()) {
var termAttribute = stream.GetAttribute<ITermAttribute>();
if(termAttribute != null) {
result.Add(termAttribute.Term);
}
}
}
}
return result;
}
/// <summary>
/// Searches the index for the querytext and displays a ranked list of results to the screen
/// </summary>
/// <param name="querytext">The text to search the index</param>
private string SearchAndDisplayResults(string querytext, long qid, List <long> relevantList)
{
System.Console.WriteLine("Searching for " + querytext);
querytext = querytext.ToLower();
Query query = parser.Parse(querytext);
System.Console.WriteLine($"Searching for { query.ToString()}");
TopDocs results = searcher.Search(query, MAX_QUERY);
// create highlighter - using strong tag to highlight in this case (change as needed)
//IFormatter formatter = new SimpleHTMLFormatter("<strong>", "</strong>");
IFormatter formatter = new SimpleHTMLFormatter("<span style=\"font-weight:bold;background-color:yellow;\">", "</span>");
// excerpt set to 200 characters in length
var fragmenter = new SimpleFragmenter(3000);
var scorer = new QueryScorer(query);
var highlighter = new Highlighter(formatter, scorer)
{
TextFragmenter = fragmenter
};
long rank = 0;
float topscore = 0f;
long foundrelevants = 0;
List <TrecItem> logItems = new List <TrecItem>();
SearchedListViewModel.DeleteAll();
foreach (ScoreDoc scoreDoc in results.ScoreDocs)
{
if (rank == 0)
{
topscore = scoreDoc.Score;
}
rank++;
Lucene.Net.Documents.Document doc = searcher.Doc(scoreDoc.Doc);
long id = Convert.ToInt64(doc.Get(PID_FN).ToString());
CollectionPassage ps = collectionProvider.Passages[id];
// Logging Trec
logItems.Add(new TrecItem(0, id, rank, scoreDoc.Score));
// get highlighted fragment
TokenStream stream = analyzer.TokenStream("", new StringReader(ps.passage_text));
string highlighted = highlighter.GetBestFragment(stream, ps.passage_text);
//string url2 = doc.Get(TEXT_FN).ToString();
//Console.WriteLine("Rank " + rank + " text " + myFieldValue);
if (highlighted == null)
{
highlighted = ps.passage_text;
}
if (relevantList.Contains(id))
{
foundrelevants++;
}
SearchedListViewModel.Add(scoreDoc.Score / topscore, id, ps.GetTitle(), ps.url, highlighted, relevantList.Contains(id));
//Console.WriteLine("==>" + highlighted);
}
StatusBarViewModel.Instance.NumRelevants = "Num Relevants : " + foundrelevants.ToString() + "/" + relevantList.Count.ToString();
StatusBarViewModel.Instance.NumSearch = "Num Searched :" + results.ScoreDocs.Length.ToString();
// Logging Trec
trecLogger.Logging(qid, logItems);
//Console.WriteLine(string.Join(",", relevantList));
return(query.ToString());
}
private static void CheckAnalysisConsistency(Random random, Analyzer a, bool useCharFilter, string text, bool offsetsAreCorrect, Field field)
{
if (VERBOSE)
{
Console.WriteLine(Thread.CurrentThread.Name + ": NOTE: baseTokenStreamTestCase: get first token stream now text=" + text);
}
ICharTermAttribute termAtt;
IOffsetAttribute offsetAtt;
IPositionIncrementAttribute posIncAtt;
IPositionLengthAttribute posLengthAtt;
ITypeAttribute typeAtt;
IList<string> tokens = new List<string>();
IList<string> types = new List<string>();
IList<int> positions = new List<int>();
IList<int> positionLengths = new List<int>();
IList<int> startOffsets = new List<int>();
IList<int> endOffsets = new List<int>();
int remainder = random.Next(10);
StringReader reader = new StringReader(text);
TokenStream ts;
using (ts = a.TokenStream("dummy", useCharFilter ? (TextReader) new MockCharFilter(reader, remainder) : reader))
{
termAtt = ts.HasAttribute<ICharTermAttribute>()
? ts.GetAttribute<ICharTermAttribute>()
: null;
offsetAtt = ts.HasAttribute<IOffsetAttribute>()
? ts.GetAttribute<IOffsetAttribute>()
: null;
posIncAtt = ts.HasAttribute<IPositionIncrementAttribute>()
? ts.GetAttribute<IPositionIncrementAttribute>()
: null;
posLengthAtt = ts.HasAttribute<IPositionLengthAttribute>()
? ts.GetAttribute<IPositionLengthAttribute>()
: null;
typeAtt = ts.HasAttribute<ITypeAttribute>() ? ts.GetAttribute<ITypeAttribute>() : null;
ts.Reset();
// First pass: save away "correct" tokens
while (ts.IncrementToken())
{
Assert.IsNotNull(termAtt, "has no CharTermAttribute");
tokens.Add(termAtt.ToString());
if (typeAtt != null)
{
types.Add(typeAtt.Type);
}
if (posIncAtt != null)
{
positions.Add(posIncAtt.PositionIncrement);
}
if (posLengthAtt != null)
{
positionLengths.Add(posLengthAtt.PositionLength);
}
if (offsetAtt != null)
{
startOffsets.Add(offsetAtt.StartOffset());
endOffsets.Add(offsetAtt.EndOffset());
}
}
ts.End();
}
// verify reusing is "reproducable" and also get the normal tokenstream sanity checks
if (tokens.Count > 0)
{
// KWTokenizer (for example) can produce a token
// even when input is length 0:
if (text.Length != 0)
{
// (Optional) second pass: do something evil:
int evilness = random.Next(50);
if (evilness == 17)
{
if (VERBOSE)
{
Console.WriteLine(Thread.CurrentThread.Name + ": NOTE: baseTokenStreamTestCase: re-run analysis w/ exception");
}
// Throw an errant exception from the Reader:
MockReaderWrapper evilReader = new MockReaderWrapper(random, text);
evilReader.ThrowExcAfterChar(random.Next(text.Length));
reader = evilReader;
try
{
// NOTE: some Tokenizers go and read characters
// when you call .setReader(Reader), eg
// PatternTokenizer. this is a bit
// iffy... (really, they should only
// pull from the Reader when you call
// .incremenToken(), I think?), but we
// currently allow it, so, we must call
// a.TokenStream inside the try since we may
// hit the exc on init:
ts = a.TokenStream("dummy", useCharFilter ? (TextReader)new MockCharFilter(evilReader, remainder) : evilReader);
ts.Reset();
while (ts.IncrementToken()) ;
Assert.Fail("did not hit exception");
}
catch (Exception re)
{
Assert.IsTrue(MockReaderWrapper.IsMyEvilException(re));
}
try
{
ts.End();
}
catch (InvalidOperationException ae)
{
// Catch & ignore MockTokenizer's
// anger...
if ("End() called before IncrementToken() returned false!".Equals(ae.Message))
{
// OK
}
else
{
throw ae;
}
}
finally
{
ts.Dispose();
}
}
else if (evilness == 7)
{
// Only consume a subset of the tokens:
int numTokensToRead = random.Next(tokens.Count);
if (VERBOSE)
{
Console.WriteLine(Thread.CurrentThread.Name + ": NOTE: baseTokenStreamTestCase: re-run analysis, only consuming " + numTokensToRead + " of " + tokens.Count + " tokens");
}
reader = new StringReader(text);
ts = a.TokenStream("dummy", useCharFilter ? (TextReader)new MockCharFilter(reader, remainder) : reader);
ts.Reset();
for (int tokenCount = 0; tokenCount < numTokensToRead; tokenCount++)
{
Assert.IsTrue(ts.IncrementToken());
}
try
{
ts.End();
}
catch (InvalidOperationException ae)
{
// Catch & ignore MockTokenizer's
// anger...
if ("End() called before IncrementToken() returned false!".Equals(ae.Message))
{
// OK
}
else
{
throw ae;
}
}
finally
{
ts.Dispose();
}
}
}
}
// Final pass: verify clean tokenization matches
// results from first pass:
if (VERBOSE)
{
Console.WriteLine(Thread.CurrentThread.Name + ": NOTE: baseTokenStreamTestCase: re-run analysis; " + tokens.Count + " tokens");
}
reader = new StringReader(text);
long seed = random.Next();
random = new Random((int)seed);
if (random.Next(30) == 7)
{
if (VERBOSE)
{
Console.WriteLine(Thread.CurrentThread.Name + ": NOTE: baseTokenStreamTestCase: using spoon-feed reader");
}
reader = new MockReaderWrapper(random, text);
}
ts = a.TokenStream("dummy", useCharFilter ? (TextReader)new MockCharFilter(reader, remainder) : reader);
if (typeAtt != null && posIncAtt != null && posLengthAtt != null && offsetAtt != null)
{
// offset + pos + posLength + type
AssertTokenStreamContents(ts, tokens.ToArray(), ToIntArray(startOffsets), ToIntArray(endOffsets), types.ToArray(), ToIntArray(positions), ToIntArray(positionLengths), text.Length, offsetsAreCorrect);
}
else if (typeAtt != null && posIncAtt != null && offsetAtt != null)
{
// offset + pos + type
AssertTokenStreamContents(ts, tokens.ToArray(), ToIntArray(startOffsets), ToIntArray(endOffsets), types.ToArray(), ToIntArray(positions), null, text.Length, offsetsAreCorrect);
}
else if (posIncAtt != null && posLengthAtt != null && offsetAtt != null)
{
// offset + pos + posLength
AssertTokenStreamContents(ts, tokens.ToArray(), ToIntArray(startOffsets), ToIntArray(endOffsets), null, ToIntArray(positions), ToIntArray(positionLengths), text.Length, offsetsAreCorrect);
}
else if (posIncAtt != null && offsetAtt != null)
{
// offset + pos
AssertTokenStreamContents(ts, tokens.ToArray(), ToIntArray(startOffsets), ToIntArray(endOffsets), null, ToIntArray(positions), null, text.Length, offsetsAreCorrect);
}
else if (offsetAtt != null)
{
// offset
AssertTokenStreamContents(ts, tokens.ToArray(), ToIntArray(startOffsets), ToIntArray(endOffsets), null, null, null, text.Length, offsetsAreCorrect);
}
else
{
// terms only
AssertTokenStreamContents(ts, tokens.ToArray());
}
if (field != null)
{
reader = new StringReader(text);
random = new Random((int)seed);
if (random.Next(30) == 7)
{
if (VERBOSE)
{
Console.WriteLine(Thread.CurrentThread.Name + ": NOTE: baseTokenStreamTestCase: indexing using spoon-feed reader");
}
reader = new MockReaderWrapper(random, text);
}
field.ReaderValue = useCharFilter ? (TextReader)new MockCharFilter(reader, remainder) : reader;
}
}
public TokenStream GetTokenStream(Analyzer analyzer)
{
if (!((FieldType)FieldType).Indexed)
{
return null;
}
FieldType.NumericType? numericType = ((FieldType)FieldType).NumericTypeValue;
if (numericType != null)
{
if (!(InternalTokenStream is NumericTokenStream))
{
// lazy init the TokenStream as it is heavy to instantiate
// (attributes,...) if not needed (stored field loading)
InternalTokenStream = new NumericTokenStream(Type.NumericPrecisionStep);
}
var nts = (NumericTokenStream)InternalTokenStream;
// initialize value in TokenStream
object val = FieldsData;
switch (numericType)
{
case Documents.FieldType.NumericType.INT:
nts.SetIntValue(Convert.ToInt32(val));
break;
case Documents.FieldType.NumericType.LONG:
nts.SetLongValue(Convert.ToInt64(val));
break;
case Documents.FieldType.NumericType.FLOAT:
nts.SetFloatValue(Convert.ToSingle(val));
break;
case Documents.FieldType.NumericType.DOUBLE:
nts.SetDoubleValue(Convert.ToDouble(val));
break;
default:
throw new Exception("Should never get here");
}
return InternalTokenStream;
}
if (!((FieldType)FieldType).Tokenized)
{
if (StringValue == null)
{
throw new System.ArgumentException("Non-Tokenized Fields must have a String value");
}
if (!(InternalTokenStream is StringTokenStream))
{
// lazy init the TokenStream as it is heavy to instantiate
// (attributes,...) if not needed (stored field loading)
InternalTokenStream = new StringTokenStream();
}
((StringTokenStream)InternalTokenStream).Value = StringValue;
return InternalTokenStream;
}
if (TokenStream_Renamed != null)
{
return TokenStream_Renamed;
}
else if (ReaderValue != null)
{
return analyzer.TokenStream(Name, ReaderValue);
}
else if (StringValue != null)
{
TextReader sr = new StringReader(StringValue);
return analyzer.TokenStream(Name, sr);
}
throw new System.ArgumentException("Field must have either TokenStream, String, Reader or Number value; got " + this);
}
internal static void CheckResetException(Analyzer a, string input)
{
TokenStream ts = a.TokenStream("bogus", new StringReader(input));
try
{
if (ts.IncrementToken())
{
ts.ReflectAsString(false);
Assert.Fail("didn't get expected exception when reset() not called");
}
}
catch (InvalidOperationException expected)
{
//ok
}
catch (AssertionException expected)
{
// ok: MockTokenizer
Assert.IsTrue(expected.Message != null && expected.Message.Contains("wrong state"), expected.Message);
}
catch (Exception unexpected)
{
//unexpected.printStackTrace(System.err);
Console.Error.WriteLine(unexpected.StackTrace);
Assert.Fail("got wrong exception when reset() not called: " + unexpected);
}
finally
{
// consume correctly
ts.Reset();
while (ts.IncrementToken())
{
}
ts.End();
ts.Dispose();
}
// check for a missing Close()
ts = a.TokenStream("bogus", new StringReader(input));
ts.Reset();
while (ts.IncrementToken())
{
}
ts.End();
try
{
ts = a.TokenStream("bogus", new StringReader(input));
Assert.Fail("didn't get expected exception when Close() not called");
}
catch (Exception)
{
// ok
}
finally
{
ts.Dispose();
}
}
public static void AssertAnalyzesTo(Analyzer a, string input, string[] output, int[] startOffsets, int[] endOffsets, string[] types, int[] posIncrements, int[] posLengths, bool offsetsAreCorrect)
{
CheckResetException(a, input);
AssertTokenStreamContents(a.TokenStream("dummy", new StringReader(input)), output, startOffsets, endOffsets, types, posIncrements, posLengths, input.Length, offsetsAreCorrect);
}
// Test using various international locales with accented characters (which
// sort differently depending on locale)
//
// Copied (and slightly modified) from
// Lucene.Net.Search.TestSort.testInternationalSort()
//
// TODO: this test is really fragile. there are already 3 different cases,
// depending upon unicode version.
public virtual void TestCollationKeySort(Analyzer usAnalyzer, Analyzer franceAnalyzer, Analyzer swedenAnalyzer, Analyzer denmarkAnalyzer, string usResult, string frResult, string svResult, string dkResult)
{
Directory indexStore = NewDirectory();
IndexWriter writer = new IndexWriter(indexStore, new IndexWriterConfig(TEST_VERSION_CURRENT, new MockAnalyzer(Random(), MockTokenizer.WHITESPACE, false)));
// document data:
// the tracer field is used to determine which document was hit
string[][] sortData = new string[][] { new string[] { "A", "x", "p\u00EAche", "p\u00EAche", "p\u00EAche", "p\u00EAche" }, new string[] { "B", "y", "HAT", "HAT", "HAT", "HAT" }, new string[] { "C", "x", "p\u00E9ch\u00E9", "p\u00E9ch\u00E9", "p\u00E9ch\u00E9", "p\u00E9ch\u00E9" }, new string[] { "D", "y", "HUT", "HUT", "HUT", "HUT" }, new string[] { "E", "x", "peach", "peach", "peach", "peach" }, new string[] { "F", "y", "H\u00C5T", "H\u00C5T", "H\u00C5T", "H\u00C5T" }, new string[] { "G", "x", "sin", "sin", "sin", "sin" }, new string[] { "H", "y", "H\u00D8T", "H\u00D8T", "H\u00D8T", "H\u00D8T" }, new string[] { "I", "x", "s\u00EDn", "s\u00EDn", "s\u00EDn", "s\u00EDn" }, new string[] { "J", "y", "HOT", "HOT", "HOT", "HOT" } };
FieldType customType = new FieldType();
customType.Stored = true;
for (int i = 0; i < sortData.Length; ++i)
{
Document doc = new Document();
doc.Add(new Field("tracer", sortData[i][0], customType));
doc.Add(new TextField("contents", sortData[i][1], Field.Store.NO));
if (sortData[i][2] != null)
{
doc.Add(new TextField("US", usAnalyzer.TokenStream("US", new StringReader(sortData[i][2]))));
}
if (sortData[i][3] != null)
{
doc.Add(new TextField("France", franceAnalyzer.TokenStream("France", new StringReader(sortData[i][3]))));
}
if (sortData[i][4] != null)
{
doc.Add(new TextField("Sweden", swedenAnalyzer.TokenStream("Sweden", new StringReader(sortData[i][4]))));
}
if (sortData[i][5] != null)
{
doc.Add(new TextField("Denmark", denmarkAnalyzer.TokenStream("Denmark", new StringReader(sortData[i][5]))));
}
writer.AddDocument(doc);
}
writer.ForceMerge(1);
writer.Dispose();
IndexReader reader = DirectoryReader.Open(indexStore);
IndexSearcher searcher = new IndexSearcher(reader);
Sort sort = new Sort();
Query queryX = new TermQuery(new Term("contents", "x"));
Query queryY = new TermQuery(new Term("contents", "y"));
sort.SetSort(new SortField("US", SortField.Type_e.STRING));
AssertMatches(searcher, queryY, sort, usResult);
sort.SetSort(new SortField("France", SortField.Type_e.STRING));
AssertMatches(searcher, queryX, sort, frResult);
sort.SetSort(new SortField("Sweden", SortField.Type_e.STRING));
AssertMatches(searcher, queryY, sort, svResult);
sort.SetSort(new SortField("Denmark", SortField.Type_e.STRING));
AssertMatches(searcher, queryY, sort, dkResult);
reader.Dispose();
indexStore.Dispose();
}
protected internal virtual BytesRef AnalyzeMultitermTerm(string field, string part, Analyzer analyzerIn)
{
if (analyzerIn == null) analyzerIn = Analyzer;
TokenStream source = null;
try
{
source = analyzerIn.TokenStream(field, part);
source.Reset();
ITermToBytesRefAttribute termAtt = source.GetAttribute<ITermToBytesRefAttribute>();
BytesRef bytes = termAtt.BytesRef;
if (!source.IncrementToken())
throw new ArgumentException("analyzer returned no terms for multiTerm term: " + part);
termAtt.FillBytesRef();
if (source.IncrementToken())
throw new ArgumentException("analyzer returned too many terms for multiTerm term: " + part);
source.End();
return BytesRef.DeepCopyOf(bytes);
}
catch (IOException e)
{
throw new Exception("Error analyzing multiTerm term: " + part, e);
}
finally
{
IOUtils.CloseWhileHandlingException(source);
}
}
public static void DisplayTokens(Analyzer analyzer, string text)
{
DisplayTokens(analyzer.TokenStream("contents", new StringReader(text)));
}
public static void AssertAnalyzesTo(Analyzer a, string input, string[] output, int[] startOffsets, int[] endOffsets, string[] types, int[] posIncrements, int[] posLengths, bool offsetsAreCorrect)
{
CheckResetException(a, input);
AssertTokenStreamContents(a.TokenStream("dummy", new StringReader(input)), output, startOffsets, endOffsets, types, posIncrements, posLengths, input.Length, offsetsAreCorrect);
}
public static void AssertAnalyzesTo(Analyzer a, String input, String[] output, int[] startOffsets, int[] endOffsets, String[] types, int[] posIncrements)
{
AssertTokenStreamContents(a.TokenStream("dummy", new System.IO.StringReader(input)), output, startOffsets, endOffsets, types, posIncrements, input.Length);
}
public virtual void AssertThreadSafe(Analyzer analyzer)
{
int numTestPoints = 100;
int numThreads = TestUtil.NextInt(Random(), 3, 5);
Dictionary<string, BytesRef> map = new Dictionary<string, BytesRef>();
// create a map<String,SortKey> up front.
// then with multiple threads, generate sort keys for all the keys in the map
// and ensure they are the same as the ones we produced in serial fashion.
for (int i = 0; i < numTestPoints; i++)
{
string term = TestUtil.RandomSimpleString(Random());
IOException priorException = null;
TokenStream ts = analyzer.TokenStream("fake", new StreamReader(term));
try
{
ITermToBytesRefAttribute termAtt = ts.AddAttribute<ITermToBytesRefAttribute>();
BytesRef bytes = termAtt.BytesRef;
ts.Reset();
Assert.IsTrue(ts.IncrementToken());
termAtt.FillBytesRef();
// ensure we make a copy of the actual bytes too
map[term] = BytesRef.DeepCopyOf(bytes);
Assert.IsFalse(ts.IncrementToken());
ts.End();
}
catch (IOException e)
{
priorException = e;
}
finally
{
IOUtils.CloseWhileHandlingException(priorException, ts);
}
}
ThreadClass[] threads = new ThreadClass[numThreads];
for (int i = 0; i < numThreads; i++)
{
threads[i] = new ThreadAnonymousInnerClassHelper(this, analyzer, map);
}
for (int i = 0; i < numThreads; i++)
{
threads[i].Start();
}
for (int i = 0; i < numThreads; i++)
{
threads[i].Join();
}
}
private static void CheckAnalysisConsistency(Random random, Analyzer a, bool useCharFilter, string text, bool offsetsAreCorrect, Field field)
{
if (VERBOSE)
{
Console.WriteLine(Thread.CurrentThread.Name + ": NOTE: baseTokenStreamTestCase: get first token stream now text=" + text);
}
ICharTermAttribute termAtt;
IOffsetAttribute offsetAtt;
IPositionIncrementAttribute posIncAtt;
IPositionLengthAttribute posLengthAtt;
ITypeAttribute typeAtt;
IList <string> tokens = new List <string>();
IList <string> types = new List <string>();
IList <int> positions = new List <int>();
IList <int> positionLengths = new List <int>();
IList <int> startOffsets = new List <int>();
IList <int> endOffsets = new List <int>();
int remainder = random.Next(10);
StringReader reader = new StringReader(text);
TokenStream ts;
using (ts = a.TokenStream("dummy", useCharFilter ? (TextReader) new MockCharFilter(reader, remainder) : reader))
{
termAtt = ts.HasAttribute <ICharTermAttribute>()
? ts.GetAttribute <ICharTermAttribute>()
: null;
offsetAtt = ts.HasAttribute <IOffsetAttribute>()
? ts.GetAttribute <IOffsetAttribute>()
: null;
posIncAtt = ts.HasAttribute <IPositionIncrementAttribute>()
? ts.GetAttribute <IPositionIncrementAttribute>()
: null;
posLengthAtt = ts.HasAttribute <IPositionLengthAttribute>()
? ts.GetAttribute <IPositionLengthAttribute>()
: null;
typeAtt = ts.HasAttribute <ITypeAttribute>() ? ts.GetAttribute <ITypeAttribute>() : null;
ts.Reset();
// First pass: save away "correct" tokens
while (ts.IncrementToken())
{
Assert.IsNotNull(termAtt, "has no CharTermAttribute");
tokens.Add(termAtt.ToString());
if (typeAtt != null)
{
types.Add(typeAtt.Type);
}
if (posIncAtt != null)
{
positions.Add(posIncAtt.PositionIncrement);
}
if (posLengthAtt != null)
{
positionLengths.Add(posLengthAtt.PositionLength);
}
if (offsetAtt != null)
{
startOffsets.Add(offsetAtt.StartOffset());
endOffsets.Add(offsetAtt.EndOffset());
}
}
ts.End();
}
// verify reusing is "reproducable" and also get the normal tokenstream sanity checks
if (tokens.Count > 0)
{
// KWTokenizer (for example) can produce a token
// even when input is length 0:
if (text.Length != 0)
{
// (Optional) second pass: do something evil:
int evilness = random.Next(50);
if (evilness == 17)
{
if (VERBOSE)
{
Console.WriteLine(Thread.CurrentThread.Name + ": NOTE: baseTokenStreamTestCase: re-run analysis w/ exception");
}
// Throw an errant exception from the Reader:
MockReaderWrapper evilReader = new MockReaderWrapper(random, text);
evilReader.ThrowExcAfterChar(random.Next(text.Length));
reader = evilReader;
try
{
// NOTE: some Tokenizers go and read characters
// when you call .setReader(Reader), eg
// PatternTokenizer. this is a bit
// iffy... (really, they should only
// pull from the Reader when you call
// .incremenToken(), I think?), but we
// currently allow it, so, we must call
// a.TokenStream inside the try since we may
// hit the exc on init:
ts = a.TokenStream("dummy", useCharFilter ? (TextReader) new MockCharFilter(evilReader, remainder) : evilReader);
ts.Reset();
while (ts.IncrementToken())
{
;
}
Assert.Fail("did not hit exception");
}
catch (Exception re)
{
Assert.IsTrue(MockReaderWrapper.IsMyEvilException(re));
}
try
{
ts.End();
}
catch (InvalidOperationException ae)
{
// Catch & ignore MockTokenizer's
// anger...
if ("End() called before IncrementToken() returned false!".Equals(ae.Message))
{
// OK
}
else
{
throw ae;
}
}
finally
{
ts.Dispose();
}
}
else if (evilness == 7)
{
// Only consume a subset of the tokens:
int numTokensToRead = random.Next(tokens.Count);
if (VERBOSE)
{
Console.WriteLine(Thread.CurrentThread.Name + ": NOTE: baseTokenStreamTestCase: re-run analysis, only consuming " + numTokensToRead + " of " + tokens.Count + " tokens");
}
reader = new StringReader(text);
ts = a.TokenStream("dummy", useCharFilter ? (TextReader) new MockCharFilter(reader, remainder) : reader);
ts.Reset();
for (int tokenCount = 0; tokenCount < numTokensToRead; tokenCount++)
{
Assert.IsTrue(ts.IncrementToken());
}
try
{
ts.End();
}
catch (InvalidOperationException ae)
{
// Catch & ignore MockTokenizer's
// anger...
if ("End() called before IncrementToken() returned false!".Equals(ae.Message))
{
// OK
}
else
{
throw ae;
}
}
finally
{
ts.Dispose();
}
}
}
}
// Final pass: verify clean tokenization matches
// results from first pass:
if (VERBOSE)
{
Console.WriteLine(Thread.CurrentThread.Name + ": NOTE: baseTokenStreamTestCase: re-run analysis; " + tokens.Count + " tokens");
}
reader = new StringReader(text);
long seed = random.Next();
random = new Random((int)seed);
if (random.Next(30) == 7)
{
if (VERBOSE)
{
Console.WriteLine(Thread.CurrentThread.Name + ": NOTE: baseTokenStreamTestCase: using spoon-feed reader");
}
reader = new MockReaderWrapper(random, text);
}
ts = a.TokenStream("dummy", useCharFilter ? (TextReader) new MockCharFilter(reader, remainder) : reader);
if (typeAtt != null && posIncAtt != null && posLengthAtt != null && offsetAtt != null)
{
// offset + pos + posLength + type
AssertTokenStreamContents(ts, tokens.ToArray(), ToIntArray(startOffsets), ToIntArray(endOffsets), types.ToArray(), ToIntArray(positions), ToIntArray(positionLengths), text.Length, offsetsAreCorrect);
}
else if (typeAtt != null && posIncAtt != null && offsetAtt != null)
{
// offset + pos + type
AssertTokenStreamContents(ts, tokens.ToArray(), ToIntArray(startOffsets), ToIntArray(endOffsets), types.ToArray(), ToIntArray(positions), null, text.Length, offsetsAreCorrect);
}
else if (posIncAtt != null && posLengthAtt != null && offsetAtt != null)
{
// offset + pos + posLength
AssertTokenStreamContents(ts, tokens.ToArray(), ToIntArray(startOffsets), ToIntArray(endOffsets), null, ToIntArray(positions), ToIntArray(positionLengths), text.Length, offsetsAreCorrect);
}
else if (posIncAtt != null && offsetAtt != null)
{
// offset + pos
AssertTokenStreamContents(ts, tokens.ToArray(), ToIntArray(startOffsets), ToIntArray(endOffsets), null, ToIntArray(positions), null, text.Length, offsetsAreCorrect);
}
else if (offsetAtt != null)
{
// offset
AssertTokenStreamContents(ts, tokens.ToArray(), ToIntArray(startOffsets), ToIntArray(endOffsets), null, null, null, text.Length, offsetsAreCorrect);
}
else
{
// terms only
AssertTokenStreamContents(ts, tokens.ToArray());
}
if (field != null)
{
reader = new StringReader(text);
random = new Random((int)seed);
if (random.Next(30) == 7)
{
if (VERBOSE)
{
Console.WriteLine(Thread.CurrentThread.Name + ": NOTE: baseTokenStreamTestCase: indexing using spoon-feed reader");
}
reader = new MockReaderWrapper(random, text);
}
field.ReaderValue = useCharFilter ? (TextReader) new MockCharFilter(reader, remainder) : reader;
}
}
/// <summary> Perform synonym expansion on a query.
///
/// </summary>
/// <param name="">query
/// </param>
/// <param name="">syns
/// </param>
/// <param name="">a
/// </param>
/// <param name="">field
/// </param>
/// <param name="">boost
/// </param>
public static Query Expand(System.String query, Searcher syns, Analyzer a, System.String field, float boost)
{
System.Collections.Hashtable already = new System.Collections.Hashtable(); // avoid dups
System.Collections.IList top = new System.Collections.ArrayList(); // needs to be separately listed..
// [1] Parse query into separate words so that when we expand we can avoid dups
TokenStream ts = a.TokenStream(field, new System.IO.StringReader(query));
Lucene.Net.Analysis.Token t;
while ((t = ts.Next()) != null)
{
System.String word = t.TermText();
if (already.Contains(word) == false)
{
already.Add(word, word);
top.Add(word);
}
}
BooleanQuery tmp = new BooleanQuery();
// [2] form query
System.Collections.IEnumerator it = top.GetEnumerator();
while (it.MoveNext())
{
// [2a] add to level words in
System.String word = (System.String) it.Current;
TermQuery tq = new TermQuery(new Term(field, word));
tmp.Add(tq, BooleanClause.Occur.SHOULD);
// [2b] add in unique synonums
Hits hits = syns.Search(new TermQuery(new Term(Syns2Index.F_WORD, word)));
for (int i = 0; i < hits.Length(); i++)
{
Document doc = hits.Doc(i);
System.String[] values = doc.GetValues(Syns2Index.F_SYN);
for (int j = 0; j < values.Length; j++)
{
System.String syn = values[j];
if (already.Contains(syn) == false)
{
already.Add(syn, syn);
tq = new TermQuery(new Term(field, syn));
if (boost > 0)
// else keep normal 1.0
tq.SetBoost(boost);
tmp.Add(tq, BooleanClause.Occur.SHOULD);
}
}
}
}
return tmp;
}
protected internal virtual string ToDot(Analyzer a, string inputText)
{
StringWriter sw = new StringWriter();
TokenStream ts = a.TokenStream("field", new StringReader(inputText));
ts.Reset();
(new TokenStreamToDot(inputText, ts, /*new StreamWriter(*/(TextWriter)sw/*)*/)).ToDot();
return sw.ToString();
}
/// <summary>
/// Searches the index for the querytext
/// </summary>
/// <param name="querytext">The text to search the index</param>
//public string SearchIndext(string querytext)
public List <Dictionary <string, string> > SearchIndext(string querytext)
{
List <Dictionary <string, string> > resultListDict = new List <Dictionary <string, string> >(); // Initiate a result list
Query query = DisplayQueries(querytext);
Console.WriteLine("query is " + query);
TopDocs results = searcher.Search(query, 100);
System.Console.WriteLine("Number of results is " + results.TotalHits);
// Setup the configuration of Highlighter
IFormatter formatter = new SimpleHTMLFormatter("<span style=\"font-weight:bold; background-color:yellow;\">", "</span>");
SimpleFragmenter fragmenter = new SimpleFragmenter(2000);
QueryScorer scorer = new QueryScorer(query);
Highlighter highlighter = new Highlighter(formatter, scorer);
highlighter.TextFragmenter = fragmenter;
int rank = 0;
// ScoreDocs : a array stores pointers of a query
// scoreDoc : a pointer of a query points to doc_ID and score (of the doc for the query)
//string output = "";
if (results.TotalHits != 0) // Check if there are results
{
foreach (ScoreDoc scoreDoc in results.ScoreDocs)
{
rank++;
Lucene.Net.Documents.Document doc = searcher.Doc(scoreDoc.Doc);
string myFieldValue = doc.Get(TEXT_FN_PASS_TEXT);
string myURL = doc.Get(TEXT_FN_URL);
string passId = doc.Get(TEXT_FN_PASS_ID);
string score = scoreDoc.Score.ToString();
string queryId = doc.Get(TEXT_FN_QUERY_ID);
int jsonId = Int32.Parse(doc.Get(TEXT_FN_JSON_ARRAY_ID));
// passage_text field store as Field.Store.NO
foreach (var itemP in jArr[jsonId][PASSAGES])
{
if (itemP[TEXT_FN_PASS_ID].ToString() == passId)
{
myFieldValue = itemP[TEXT_FN_PASS_TEXT].ToString();
}
}
//Add the Highlighter tag into passage_text of query
//TokenStream HLstream = analyzer.TokenStream("", new StringReader(doc.Get(TEXT_FN_PASS_TEXT)));
//string HLmyFieldValue = highlighter.GetBestFragment(HLstream, doc.Get(TEXT_FN_PASS_TEXT));
TokenStream HLstream = analyzer.TokenStream("", new StringReader(myFieldValue));
string HLmyFieldValue = highlighter.GetBestFragment(HLstream, myFieldValue);
Explanation e = searcher.Explain(query, scoreDoc.Doc);
//Extract title from URL
char delimiters = '/';
string[] urlSeg = myURL.Split(delimiters);
string title;
if (urlSeg[urlSeg.Length - 1].Length == 0)
{
title = urlSeg[urlSeg.Length - 2];
}
else
{
title = urlSeg[urlSeg.Length - 1];
}
resultListDict.Add(new Dictionary <string, string> {
{ "rank", rank.ToString() }, { "passId", passId },
{ "score", score }, { "title", title }, { "url", myURL }, { "text", myFieldValue }, { "queryId", queryId }, { "highlighter", HLmyFieldValue }
});
//Console.WriteLine("Rank " + rank + " text " + myFieldValue + " URL " + myURL);
//Console.WriteLine(e);
}
}
return(resultListDict);
}
protected internal virtual void ToDotFile(Analyzer a, string inputText, string localFileName)
{
StreamWriter w = new StreamWriter(new FileStream(localFileName, FileMode.Open), IOUtils.CHARSET_UTF_8);
TokenStream ts = a.TokenStream("field", new StreamReader(inputText));
ts.Reset();
(new TokenStreamToDot(inputText, ts,/* new PrintWriter(*/w/*)*/)).ToDot();
w.Dispose();
}