"content": {"application/json": {"schema": {}}},
                            },
                            "422": {
                                "description": "Validation Error",
                                "content": {
                                    "application/json": {
                                        "schema": {

                                "content": {"application/json": {"schema": {}}},
                            },
                            "422": {
                                "description": "Validation Error",
                                "content": {
                                    "application/json": {
                                        "schema": {

		Name2 string `gorm:"uniqueIndex"`
	}

	user, err := schema.Parse(&UserUnique{}, &sync.Map{}, schema.NamingStrategy{})
	if err != nil {
		t.Fatalf("failed to parse user unique, got error %v", err)
	}
	constraints := user.ParseUniqueConstraints()

	results := map[string]schema.UniqueConstraint{
		"uni_user_uniques_name1": {
			Name:  "uni_user_uniques_name1",
			Field: &schema.Field{Name: "Name1", Unique: true},
		},
	}

)
def test_required_list_str_schema(path: str):
    assert app.openapi()["paths"][path]["get"]["parameters"] == snapshot(
        [
            {
                "required": True,
                "schema": {
                    "title": "P",
                    "type": "array",
                    "items": {"type": "string"},
                },
                "name": "p",
                "in": "query",
            }

package callbacks

import (
	"fmt"
	"reflect"
	"sort"
	"strings"

	"gorm.io/gorm"
	"gorm.io/gorm/clause"
	"gorm.io/gorm/schema"
	"gorm.io/gorm/utils"
)

// parsePreloadMap extracts nested preloads. e.g.
//
//	// schema has a "k0" relation and a "k7.k8" embedded relation
//	parsePreloadMap(schema, map[string][]interface{}{
//		clause.Associations: {"arg1"},
//		"k1":                {"arg2"},
//		"k2.k3":             {"arg3"},

                                "content": {"application/json": {"schema": {}}},
                            },
                            "422": {
                                "description": "Validation Error",
                                "content": {
                                    "application/json": {
                                        "schema": {

from typing import Any


def get_body_model_name(openapi: dict[str, Any], path: str) -> str:
    body = openapi["paths"][path]["post"]["requestBody"]
    body_schema = body["content"]["application/x-www-form-urlencoded"]["schema"]

			cacheStore.Store(embeddedCacheKey, true)
			if field.EmbeddedSchema, err = getOrParse(fieldValue.Interface(), cacheStore, embeddedNamer{Table: schema.Table, Namer: schema.namer}); err != nil {
				schema.err = err
			}

			for _, ef := range field.EmbeddedSchema.Fields {
				ef.Schema = schema
				ef.OwnerSchema = field.EmbeddedSchema
				ef.BindNames = append([]string{fieldStruct.Name}, ef.BindNames...)

It used custom types in its declarations instead of standard Python types, but it was still a huge step forward.

It also was one of the first frameworks to generate a custom schema declaring the whole API in JSON.

It was not based on a standard like OpenAPI and JSON Schema. So it wouldn't be straightforward to integrate it with other tools, like Swagger UI. But again, it was a very innovative idea.

                                "content": {
                                    "application/json": {
                                        "schema": {
                                            "$ref": "#/components/schemas/Message"
                                        }
                                    }
                                },
                            },
                            "422": {