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src/main/resources/fess_label_fr.properties
labels.related_content_content=Contenu labels.related_content_list_term=Terme labels.related_content_term=Terme labels.related_content_title_details=Contenu associé labels.related_query_configuration=Requête associée labels.related_query_list_term=Terme labels.related_query_queries=Requêtes labels.related_query_term=Terme labels.related_query_title_details=Requête associée labels.crud_button_create=Créer
Created: Sat Dec 20 09:19:18 GMT 2025 - Last Modified: Sat Dec 13 02:21:17 GMT 2025 - 49.2K bytes - Click Count (0) -
docs/fr/docs/tutorial/first-steps.md
Le schéma inclut les chemins de votre API, les paramètres potentiels de chaque chemin, etc. #### "Schéma" de données Le terme "schéma" peut aussi faire référence à la forme de la donnée, comme un contenu JSON. Dans ce cas, cela signifierait les attributs JSON, ainsi que les types de ces attributs, etc. #### OpenAPI et JSON Schema
Created: Sun Dec 28 07:19:09 GMT 2025 - Last Modified: Sat Oct 11 17:48:49 GMT 2025 - 10.1K bytes - Click Count (0) -
docs/fr/docs/async.md
Pour parler de tâches "synchrones" (en opposition à "asynchrones"), on utilise souvent le terme "séquentiel", car l'ordinateur / le programme va effectuer toutes les étapes d'une tâche séquentiellement avant de passer à une autre tâche, même si ces étapes impliquent de l'attente. ### Concurrence et Burgers
Created: Sun Dec 28 07:19:09 GMT 2025 - Last Modified: Sun Aug 31 09:56:21 GMT 2025 - 25.4K bytes - Click Count (0) -
src/test/java/org/codelibs/fess/suggest/util/SuggestUtilTest.java
// Test with BooleanQuery BooleanQuery.Builder builder = new BooleanQuery.Builder(); Term term1 = new Term("content", "test"); Term term2 = new Term("title", "query"); builder.add(new TermQuery(term1), BooleanClause.Occur.SHOULD); builder.add(new TermQuery(term2), BooleanClause.Occur.SHOULD); BooleanQuery booleanQuery = builder.build();Created: Sat Dec 20 13:04:59 GMT 2025 - Last Modified: Mon Nov 24 03:40:05 GMT 2025 - 26.7K bytes - Click Count (0) -
src/main/java/org/codelibs/fess/helper/RelatedQueryHelper.java
return queries; } } return StringUtil.EMPTY_STRINGS; } private String toLowerCase(final String term) { return term != null ? term.toLowerCase(Locale.ROOT) : term; }Created: Sat Dec 20 09:19:18 GMT 2025 - Last Modified: Fri Nov 28 16:29:12 GMT 2025 - 5.1K bytes - Click Count (0) -
src/main/java/org/codelibs/fess/query/PhraseQueryCommand.java
final Term[] terms = phraseQuery.getTerms(); if (terms.length == 0) { throw new InvalidQueryException(messages -> messages.addErrorsInvalidQueryUnknown(UserMessages.GLOBAL_PROPERTY_KEY), "Unknown phrase query: " + phraseQuery); } final FessConfig fessConfig = ComponentUtil.getFessConfig(); final String field = terms[0].field();
Created: Sat Dec 20 09:19:18 GMT 2025 - Last Modified: Fri Nov 28 16:29:12 GMT 2025 - 4.5K bytes - Click Count (0) -
docs/de/llm-prompt.md
### List of English terms and their preferred German translations
Created: Sun Dec 28 07:19:09 GMT 2025 - Last Modified: Fri Dec 26 09:39:53 GMT 2025 - 11.9K bytes - Click Count (0) -
fess-crawler/src/main/java/org/codelibs/fess/crawler/util/TextUtil.java
* <li>Optionally removing duplicate terms based on a flag.</li> * <li>Limiting the maximum size of alphanumeric and symbol terms.</li> * </ul> * * <p>The {@link TextNormalizeContext} class provides a fluent API to configure the text * normalization process, including setting initial buffer capacity, maximum term sizes, * duplicate term removal, and custom space characters. * * <p>Example usage:
Created: Sat Dec 20 11:21:39 GMT 2025 - Last Modified: Sat Nov 22 13:28:22 GMT 2025 - 12K bytes - Click Count (0) -
src/main/java/org/codelibs/fess/helper/RelatedContentHelper.java
} private String toLowerCase(final String term) { return term != null ? term.toLowerCase(Locale.ROOT) : term; } /** * Sets the prefix used to identify regex patterns in related content terms. * When a term starts with this prefix, it is treated as a regular expression * pattern rather than an exact match term. *Created: Sat Dec 20 09:19:18 GMT 2025 - Last Modified: Fri Nov 28 16:29:12 GMT 2025 - 8.2K bytes - Click Count (0) -
src/main/java/org/codelibs/fess/util/FacetResponse.java
/** * Constructs a Field from OpenSearch Terms aggregation. * Decodes the field name and processes all term buckets to extract * field values and their document counts. * * @param termFacet the OpenSearch Terms aggregation containing field facet data */ public Field(final Terms termFacet) {Created: Sat Dec 20 09:19:18 GMT 2025 - Last Modified: Sun Nov 23 11:39:05 GMT 2025 - 5.3K bytes - Click Count (0)