defer schema.Relationships.Mux.Unlock()

	// set non-embedded relation
	if rel := schema.Relationships.Relations[relation.Name]; rel != nil {
		if len(rel.Field.BindNames) > 1 {
			schema.Relationships.Relations[relation.Name] = relation
		}
	} else {
		schema.Relationships.Relations[relation.Name] = relation
	}

	// set embedded relation
	if len(relation.Field.EmbeddedBindNames) <= 1 {
		return
	}

							return err
						}
					}
				}

				if !m.DB.DisableForeignKeyConstraintWhenMigrating && !m.DB.IgnoreRelationshipsWhenMigrating {
					for _, rel := range stmt.Schema.Relationships.Relations {
						if rel.Field.IgnoreMigration {
							continue
						}
						if constraint := rel.ParseConstraint(); constraint != nil &&

De plus, la meilleure approche était d'utiliser des normes déjà existantes.

Ainsi, avant même de commencer à coder **FastAPI**, j'ai passé plusieurs mois à étudier les spécifications d'OpenAPI, JSON Schema, OAuth2, etc. Comprendre leurs relations, leurs similarités et leurs différences.

## Conception

Ensuite, j'ai passé du temps à concevoir l'"API" de développeur que je voulais avoir en tant qu'utilisateur (en tant que développeur utilisant FastAPI).

					db.AddError(err)
				}
			}

			relation, ok := db.Statement.Schema.Relationships.Relations[association]
			if !ok {
				if preloadFields := strings.Split(association, "."); len(preloadFields) > 1 {
					relationships := &db.Statement.Schema.Relationships
					for _, field := range preloadFields {
						var ok bool
						relation, ok = relationships.Relations[field]
						if ok {

	table := db.Statement.Table

	if association.Error = db.Statement.Parse(db.Statement.Model); association.Error == nil {
		db.Statement.Table = table
		association.Relationship = db.Statement.Schema.Relationships.Relations[column]

		if association.Relationship == nil {
			association.Error = fmt.Errorf("%w: %s", ErrUnsupportedRelation, column)
		}

		db.Statement.ReflectValue = reflect.ValueOf(db.Statement.Model)

		Fields:           make([]*Field, 0, 10),
		FieldsByName:     make(map[string]*Field, 10),
		FieldsByBindName: make(map[string]*Field, 10),
		FieldsByDBName:   make(map[string]*Field, 10),
		Relationships:    Relationships{Relations: map[string]*Relationship{}},
		cacheStore:       cacheStore,
		namer:            namer,
		initialized:      make(chan struct{}),
	}
	// When the schema initialization is completed, the channel will be closed

         *
         * TODO(cpovirk): Consider checking onlyOnRight.containsKey instead of right.containsKey.
         * That could change behavior if the input maps use different equivalence relations (and so
         * a key that appears once in `right` might appear multiple times in `left`). We don't
         * guarantee behavior in that case, anyway, and the current behavior is likely undesirable.

import java.util.concurrent.TimeUnit;
import java.util.stream.Collectors;

import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.apache.lucene.search.TotalHits.Relation;
import org.codelibs.core.collection.ArrayUtil;
import org.codelibs.core.concurrent.CommonPoolUtil;
import org.codelibs.core.lang.StringUtil;
import org.codelibs.core.stream.StreamUtil;
import org.codelibs.fess.Constants;

    @Override
    public String toStringWithRelation() { // #pending
        return toString();
    }

    @Override
    public String buildDisplayString(String name, boolean column, boolean relation) { // #pending
        return toString();
    }

    // ===================================================================================

            final SearchHits searchHits = searchResponse.getHits();
            builder.allRecordCount(searchHits.getTotalHits().value());
            builder.allRecordCountRelation(searchHits.getTotalHits().relation().toString());
            builder.queryTime(searchResponse.getTook().millis());

            if (searchResponse.getTotalShards() != searchResponse.getSuccessfulShards()) {
                builder.partialResults(true);