Class QuestionRegistry

java.lang.Object

org.ek9lang.assist.QuestionRegistry

public class QuestionRegistry
extends Object

Central registry for all Q&A pairs. Provides lookup by ID and category-grouped listing. Precomputes BM25F index data (IDF values and average field lengths) at construction time for efficient query-time scoring. Populated from .ek9 resource files via Ek9QaFileLoader.

Field Summary

Fields

Modifier and Type	Field	Description
(package private) static final int	NUM_FIELDS

Constructor Summary

Constructors

Constructor	Description
QuestionRegistry(List<QuestionAndAnswer> questions)

Method Summary

Modifier and Type	Method	Description
static QuestionRegistry	createDefault()	Create a registry from all .ek9 QA resource files.
List<QuestionAndAnswer>	getAll()
double[]	getAvgFieldLengths()	Average token count per BM25F field across the corpus.
Map<String, List<QuestionAndAnswer>>	getByCategory()
Optional<QuestionAndAnswer>	getById(int id)
List<QuestionAndAnswer>	getForCategory(String category)
Map<String,Double>	getIdfMap()	Precomputed IDF (inverse document frequency) values for all tokens in the corpus.
int	size()

Methods inherited from class Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Details

NUM_FIELDS

static final int NUM_FIELDS

See Also:

• Constant Field Values

Constructor Details

QuestionRegistry

public QuestionRegistry(List<QuestionAndAnswer> questions)

Method Details

createDefault

public static QuestionRegistry createDefault()

Create a registry from all .ek9 QA resource files.

getAll

public List<QuestionAndAnswer> getAll()

getByCategory

public Map<String, List<QuestionAndAnswer>> getByCategory()

getForCategory

public List<QuestionAndAnswer> getForCategory(String category)

getById

public Optional<QuestionAndAnswer> getById(int id)

size

public int size()

getIdfMap

public Map<String,Double> getIdfMap()

Precomputed IDF (inverse document frequency) values for all tokens in the corpus. Uses BM25-style IDF: log(1 + (N - df + 0.5) / (df + 0.5)). Higher IDF means the token is rarer and more discriminating.

getAvgFieldLengths

public double[] getAvgFieldLengths()

Average token count per BM25F field across the corpus. Field order: keywords, question text, alternates, answer text, migration context.