from sqlalchemy.orm import relationship

from .database import Base


class User(Base):
    __tablename__ = "users"

    id = Column(Integer, primary_key=True)
    email = Column(String, unique=True, index=True)
    hashed_password = Column(String)
    is_active = Column(Boolean, default=True)

    items = relationship("Item", back_populates="owner")


class Item(Base):

from sqlalchemy.orm import relationship

from .database import Base


class User(Base):
    __tablename__ = "users"

    id = Column(Integer, primary_key=True)
    email = Column(String, unique=True, index=True)
    hashed_password = Column(String)
    is_active = Column(Boolean, default=True)

    items = relationship("Item", back_populates="owner")


class Item(Base):

from sqlalchemy.orm import relationship

from .database import Base


class User(Base):
    __tablename__ = "users"

    id = Column(Integer, primary_key=True)
    email = Column(String, unique=True, index=True)
    hashed_password = Column(String)
    is_active = Column(Boolean, default=True)

    items = relationship("Item", back_populates="owner")


class Item(Base):

// Namer namer interface
type Namer interface {
	TableName(table string) string
	SchemaName(table string) string
	ColumnName(table, column string) string
	JoinTableName(joinTable string) string
	RelationshipFKName(Relationship) string
	CheckerName(table, column string) string
	IndexName(table, column string) string
	UniqueName(table, column string) string
}

// Replacer replacer interface like strings.Replacer
type Replacer interface {

        {{test}, {compile, test, provided, system}},
        {{runtime}, {compile, runtime, system}},
        {{provided}, {compile, test, provided}}
    };

    /**
     * scope relationship function. Used by the graph conflict resolution policies
     *
     * @param scope a scope
     * @return true is supplied scope is an inclusive sub-scope of current one.
     */

Also, the best approach was to use already existing standards.

So, before even starting to code **FastAPI**, I spent several months studying the specs for OpenAPI, JSON Schema, OAuth2, etc. Understanding their relationship, overlap, and differences.

## Design

Then I spent some time designing the developer "API" I wanted to have as a user (as a developer using FastAPI).

	}
	return reflect.StructTag(fmt.Sprintf(`gorm:"%s;%s"`, value, t))
}

// GetRelationsValues get relations's values from a reflect value
func GetRelationsValues(ctx context.Context, reflectValue reflect.Value, rels []*Relationship) (reflectResults reflect.Value) {
	for _, rel := range rels {
		reflectResults = reflect.MakeSlice(reflect.SliceOf(reflect.PtrTo(rel.FieldSchema.ModelType)), 0, 1)

		appendToResults := func(value reflect.Value) {

				if r, ok := rs.Relations[n]; !ok {
					t.Errorf("failed to find relation by name %s", n)
				} else {
					checkSchemaRelation(t, &schema.Schema{
						Relationships: schema.Relationships{
							Relations: map[string]*schema.Relationship{n: rel},
						},
					}, r)
				}
			}
			checkEmbeddedRelations(t, relations.EmbeddedRelations, rs.EmbeddedRelations)
		})
	}
}

	}
	return ""
}

const nestedRelationSplit = "__"

// NestedRelationName nested relationships like `Manager__Company`
func NestedRelationName(prefix, name string) string {
	return prefix + nestedRelationSplit + name
}

// SplitNestedRelationName Split nested relationships to `[]string{"Manager","Company"}`
func SplitNestedRelationName(name string) []string {

- Worker processes. Long-running daemon processes that the Gradle daemon starts to run specific kinds of work, such as compilation or test execution.

The diagram below shows the relationships between the different processes:

```mermaid
    graph LR
        
        gradle["Gradle CLI client"]
    
        gradlew["Gradlew CLI client"]
    
        subgraph IDE