package gorm

import (
	"database/sql"
	"errors"
	"fmt"
	"reflect"
	"strings"

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

// Create inserts value, returning the inserted data's primary key in value's id
func (db *DB) Create(value interface{}) (tx *DB) {
	if db.CreateBatchSize > 0 {
		return db.CreateInBatches(value, db.CreateBatchSize)
	}

	tx = db.getInstance()

import java.io.File;
import java.nio.file.Path;
import java.util.Arrays;
import java.util.Collection;
import java.util.Collections;
import java.util.List;
import java.util.Map;
import java.util.Objects;
import java.util.Optional;
import java.util.WeakHashMap;
import java.util.concurrent.CopyOnWriteArrayList;
import java.util.stream.Collectors;

import org.apache.maven.api.*;

import org.jetbrains.kotlin.idea.references.mainReference
import org.jetbrains.kotlin.psi.*
import org.jetbrains.kotlin.psi.psiUtil.unwrapParenthesesLabelsAndAnnotations
import org.jetbrains.kotlin.utils.exceptions.errorWithAttachment
import org.jetbrains.kotlin.utils.exceptions.withPsiEntry

internal class KtFirExpressionInfoProvider(
    override val analysisSession: KtFirAnalysisSession,
    override val token: KtLifetimeToken,

import java.nio.file.Path;
import java.util.Arrays;
import java.util.Collection;
import java.util.Collections;
import java.util.List;
import java.util.Map;
import java.util.NoSuchElementException;
import java.util.Objects;
import java.util.Optional;
import java.util.WeakHashMap;
import java.util.concurrent.ConcurrentHashMap;
import java.util.concurrent.CopyOnWriteArrayList;
import java.util.function.Supplier;

!!! tip
    We only need to create one `PeeweeGetterDict` class, and we can use it in all the Pydantic *models* / schemas.

## CRUD utils

Now let's see the file `sql_app/crud.py`.

### Create all the CRUD utils

Create all the same CRUD utils as in the SQLAlchemy tutorial, all the code is very similar:

```Python hl_lines="1  4-5  8-9  12-13  16-20  23-24  27-30"

import pytest
from fastapi.testclient import TestClient

from ...utils import needs_py39, needs_pydanticv1, needs_pydanticv2


@pytest.fixture(name="client")
def get_client():
    from docs_src.body_updates.tutorial001_py39 import app

    client = TestClient(app)
    return client


@needs_py39
def test_get(client: TestClient):
    response = client.get("/items/baz")
    assert response.status_code == 200, response.text

import org.jetbrains.kotlin.types.UnwrappedType
import org.jetbrains.kotlin.types.expressions.OperatorConventions
import org.jetbrains.kotlin.types.typeUtil.contains
import org.jetbrains.kotlin.util.OperatorNameConventions
import org.jetbrains.kotlin.utils.addToStdlib.safeAs

internal class KtFe10CallResolver(
    override val analysisSession: KtFe10AnalysisSession
) : AbstractKtCallResolver(), Fe10KtAnalysisSessionComponent {

import pytest
from dirty_equals import IsDict
from fastapi import FastAPI
from fastapi.testclient import TestClient

from ...utils import needs_py39


@pytest.fixture(name="app")
def get_app():
    from docs_src.request_forms_and_files.tutorial001_an_py39 import app

    return app


@pytest.fixture(name="client")
def get_client(app: FastAPI):
    client = TestClient(app)
    return client


@needs_py39

 * specific language governing permissions and limitations
 * under the License.
 */
package org.apache.maven.artifact.repository;

import java.io.File;
import java.util.Collections;
import java.util.List;
import java.util.Objects;

import org.apache.maven.artifact.Artifact;
import org.apache.maven.artifact.metadata.ArtifactMetadata;
import org.apache.maven.artifact.repository.layout.ArtifactRepositoryLayout;

        GetJsonSchemaHandler as GetJsonSchemaHandler,
    )
    from pydantic._internal._typing_extra import eval_type_lenient
    from pydantic._internal._utils import lenient_issubclass as lenient_issubclass
    from pydantic.fields import FieldInfo
    from pydantic.json_schema import GenerateJsonSchema as GenerateJsonSchema