sqfEntity ORM for Flutter SQLite (sqflite)

SqfEntity is based on SQFlite plugin and lets you build and execute SQL commands easily and quickly with the help of fluent methods similar to .Net Entity Framework

SqfEntity also generates add/edit forms with validations and special controls (DropDown List, DateTime pickers, Checkboxes.. etc) for your table.

Leave the job to SqfEntitiy for CRUD operations. Do easily and faster adding tables, adding columns, defining multiple tables, soft deleting, recovery, syncronize data from the web and more with the help of SqfEntityTable class.

If you have a bundled database, you can use it or EntityBase will create a new database automatically for you.

Open downloaded folder named sqfentity-master in VSCode and Click "Get Packages" button in the alert window that "Some packages are missing or out of date, would you like to get them now?"

Before Start: You can help us build the future sooner

If this project help you reduce time to develop, don't forget to click on the star on the top right of the page. Also you can give me a cup of coffee to help my sleepless nights :) https://www.patreon.com/hhtokpinar

What's New?

Added formTables parameter into dbModel to generate add/edit/list view controllers and added these special controls:

Validators (Required Fields, regular expression for data types)
DropdownList controls for related tables
Checkbox for boolean fields
DateTime picker for datetime field
Date picker for date field

See the application for sample use

Getting Started

This project is a starting point for a SqfEntity ORM for database application. Some files in the project:

1. main.dart                      : Startup file contains sample methods for using sqfEntity
2. model / controller.dart        : main controller that provides access to created form views from
                                    the application main page (CAN BE MODIFIED)
3. model / model.dart             : Declare and modify your database model (CAN BE MODIFIED)
4. model / model.g.dart           : Sample generated model for examples (DO NOT MODIFY BY HAND)
5. model / model.g.view.dart      : Sample generated form views for examples (DO NOT MODIFY BY HAND)
6. model / view.list.dart         : The View that List your saved table items (CAN BE MODIFIED)
7. model / view.detail.dart       : The View that see detail selected item (CAN BE MODIFIED)
8. sample_advanced_form / *.dart  : Sample Widget showing how to filter toList() at runtime
9. assets / chinook.sqlite        : Sample db if you want to use an exiting database or create 
                                    model from database
10. app.dart                      : Sample App for display created model. 
11. LICENSE.txt                   : see this file for License Terms

dependencies:

Note: You do not need flutter_datetime_picker if you do not want to use the Form Generator property

dependencies:
  flutter_datetime_picker: ^1.2.8  
  sqfentity: ^1.2.3
  sqfentity_gen: ^1.2.3


dev_dependencies:
  build_runner: ^1.6.5
  build_verify: ^1.1.0

REQUIRED (sqlcipher for Android)

Flutter now enables code shrinking by default when building an APK in release mode, so you need to add the following ProGuard rules to the file android/app/proguard-rules.pro. If it does not exist, create it:

   -keep class net.sqlcipher.** { *; }

click to see: https://github.com/davidmartos96/sqflite_sqlcipher/blob/master/sqflite/README.md#android

Create a new Database Model

First, You need to:

Copy these two files into your /lib/model folder: view.list.dart and view.detail.dart
And copy this file helper.dart into your /lib/tools folder

Create your model.dart file in lib/model/ folder to define your model and import sqfentity and other necessary packages

import 'dart:convert';
import 'dart:typed_data';
import 'package:flutter_datetime_picker/flutter_datetime_picker.dart';
import 'package:http/http.dart' as http;
import 'package:flutter/material.dart';
import 'package:sqfentity/sqfentity.dart';
import 'package:sqfentity_gen/sqfentity_gen.dart';
import '../tools/helper.dart';
import 'view.list.dart';

Write the following statement for the file to be created

part 'model.g.dart';
part 'model.g.view.dart'; // you do not need this part if you do not want to use the Form Generator property

Our model file is ready to use. Define your tables as shown in the example below.

STEP 1: For example, we have created 3 tables constant for category, product and todo that instanced from "SqfEntityTable" as follows:

Table 1: Category

// Define the 'tableCategory' constant as SqfEntityTable for the category table.
const tableCategory = SqfEntityTable(
  tableName: 'category',
  primaryKeyName: 'id',
  primaryKeyType: PrimaryKeyType.integer_auto_incremental,
  useSoftDeleting: true,
  modelName: null,
  fields: [
    SqfEntityField('name', DbType.text),
    SqfEntityField('isActive', DbType.bool, defaultValue: true),
  ]
);

If useSoftDeleting is true then, The builder engine creates a field named "isDeleted" on the table. When item was deleted then this field value is changed to "1" (does not hard delete) in this case it is possible to recover a deleted item using the recover() method. If the modelName (class name) is null then EntityBase uses TableName instead of modelName

Table 2: Product

// Define the 'tableProduct' constant as SqfEntityTable for the product table.
const tableProduct = SqfEntityTable(
  tableName: 'product',
  primaryKeyName: 'id',
  primaryKeyType: PrimaryKeyType.integer_auto_incremental,
  useSoftDeleting: true,
  fields: [
    SqfEntityField('name', DbType.text),
    SqfEntityField('description', DbType.text),
    SqfEntityField('price', DbType.real, defaultValue: 0),
    SqfEntityField('isActive', DbType.bool, defaultValue: true),
    SqfEntityFieldRelationship(
        parentTable: tableCategory,
        relationType: RelationType.ONE_TO_MANY,
        deleteRule: DeleteRule.CASCADE,
        defaultValue: 0), // Relationship column for CategoryId of Product
    SqfEntityField('rownum', DbType.integer,
        sequencedBy:
            seqIdentity /*Example of linking a column to a sequence */),
    SqfEntityField('imageUrl', DbType.text)
]);

If this table (Product) is the child of a parent table (Category), you must declare the SqfEntityFieldRelationship column into fields for Object Relational Mapping. You can choose one of the following for DeleteRule: CASCADE, NO ACTION, SET NULL, SET DEFAULT VALUE For more information about the rules Click here

Table 3: Todo

This table is for creating a synchronization with json data from the web url

const tableTodo = SqfEntityTable(
  tableName: 'todos',
  primaryKeyName: 'id',
  useSoftDeleting: false,
  primaryKeyType: PrimaryKeyType.integer_unique,
  defaultJsonUrl:
      'https://jsonplaceholder.typicode.com/todos', // optional: to synchronize your table with json data from webUrl

  // declare fields
  fields: [
    SqfEntityField('userId', DbType.integer),
    SqfEntityField('title', DbType.text),
    SqfEntityField('completed', DbType.bool, defaultValue: false)
]);

And add a Sequence for samples

const seqIdentity = SqfEntitySequence(
  sequenceName: 'identity',
  // maxValue:  10000, /* optional. default is max int (9.223.372.036.854.775.807) */
  // modelName: 'SQEidentity', 
                      /* optional. SqfEntity will set it to sequenceName automatically when the modelName is null*/
  // cycle : false,   /* optional. default is false; */
  // minValue = 0;    /* optional. default is 0 */
  // incrementBy = 1; /* optional. default is 1 */
  // startWith = 0;   /* optional. default is 0 */
);

And add a View for samples

    const tableV_tracks = SqfEntityTable(
        tableName: 'VTracks',
        objectType: ObjectType.view,
        fields: [
        SqfEntityField('Name', DbType.text),
        SqfEntityField('album', DbType.text),
        SqfEntityField('media', DbType.text),
        SqfEntityField('genres', DbType.text),
        SqfEntityFieldRelationship(
            parentTable: tableTrack,
            deleteRule: DeleteRule.NO_ACTION,
            fieldName: 'TrackId',
            isPrimaryKeyField: false),
        ],
        sqlStatement: '''SELECT
        trackid,
        track.name,
        album.Title AS album,
        mediatype.Name AS media,
        genre.Name AS genres
    FROM
        track
    INNER JOIN album ON Album.AlbumId = track.AlbumId
    INNER JOIN mediatype ON mediatype.MediaTypeId = track.MediaTypeId
    INNER JOIN genre ON genre.GenreId = track.GenreId''',
    );

2. Add your table objects you defined above to your dbModel

STEP 2: Create your Database Model to be instanced from SqfEntityModel Note: SqfEntity provides support for the use of multiple databases. So you can create many Database Models and use them in your application.

@SqfEntityBuilder(myDbModel)
const myDbModel = SqfEntityModel(
    modelName: 'MyDbModel', // optional
    databaseName: 'sampleORM.db',
    password: null, // You can set a password if you want to use crypted database 
                    (For more information: https://github.com/sqlcipher/sqlcipher)

    // put defined tables into the tables list.
    databaseTables: [tableCategory, tableProduct, tableTodo],
     // You can define tables to generate add/edit view forms if you want to use Form Generator property
    formTables: [tableProduct, tableCategory, tableTodo],
    // put defined sequences into the sequences list.
    sequences: [seqIdentity],
    bundledDatabasePath:
        null // 'assets/sample.db' // This value is optional. When bundledDatabasePath is empty then EntityBase creats a new database when initializing the database
);

That's all.. one more step left for create models.dart file. Go Terminal Window and run command below

flutter pub run build_runner build --delete-conflicting-outputs

After running the command Please check lib/model/model.g.dart and lib/model/model.g.view.dart (If formTables parameter is defined in the model)

Attach existing SQLite database with bundledDatabasePath parameter

bundledDatabasePath is optional. When bundledDatabasePath is empty then EntityBase creats a new database when initializing the database

How to import existing database and generate model automatically?

STEP 1

Copy your existing database in /assets folder (in this sample we have copied chinook.sqlite database) and define your asset database in pubspec.yaml as below

flutter:
  assets:
    - assets/chinook.sqlite

STEP 2

Run this script with this parameters.

databaseName: Specify a name for your database to use for the database connection

bundledDatabasePath: File path of your copied database

class BundledDbModel extends SqfEntityModelProvider {}

final bundledDbModel = await convertDatabaseToModelBase(BundledDbModel()
..databaseName = 'chinook.db'
..bundledDatabasePath = 'assets/chinook.sqlite');

STEP 3

Run this function to convert the model to annotation

final String modelConstString =
    SqfEntityConverter(bundledDbModel).createConstDatabase();

That's all. Set clipboard to paste codes

  await Clipboard.setData(ClipboardData(text: modelConstString));

Model were created succesfuly and set to the Clipboard.

Open model.dart file in lib/model folder and paste models after following line

part 'model.g.dart';

Go Terminal Window and run command below

flutter pub run build_runner build --delete-conflicting-outputs

Your Entity models will be created in lib/model/model.g.dart

Note: You can see this sample import in the createModelFromDatabaseSample() function in main.dart

Also you can generate your model from the main menu in Application as shown below when you make changes to your model while your project is running.

Database initializer async method

When the application was initialize, initializeDB() method is performed automatically initilizeDb method runs that CREATE TABLE / ALTER TABLE ADD COLUMN queries for you.

void main(List<String> args) async {
    runSamples();
    // If the database is not initialized, something went wrong. Check DEBUG CONSOLE for alerts
  }
}

That's Great! now we can use our created new models

Let's add some record to the "Category" table

Note: save() method returns the primary id of the added record

final notebookCategoryId = await Category(name: "Notebooks", isActive: true).save();

// or another way to define a category is Category.withField
final ultrabookCategoryId = await Category.withFields("Ultrabooks", true, false).save();

Let's add some record to the "Product" table

You can add record as follow:

final product = Product();
product.name = "Notebook 12\"";
product.description = "128 GB SSD i7";
product.price = 6899;
product.categoryId = notebookCategoryId;
await product.save();

You can also add records quickly as follows:

await Product.withFields( "Notebook 12\"", "128 GB SSD i7", 6899, true, notebookCategoryId, 0, false).save();
await Product.withFields( "Notebook 12\"", "256 GB SSD i7", 8244, true, notebookCategoryId, 0, false).save();
await Product.withFields( "Notebook 12\"", "512 GB SSD i7", 9214, true, notebookCategoryId, 0, false).save();
await Product.withFields( "Notebook 13\"", "128 GB SSD", 8500, true, notebookCategoryId, 0, false).save();
await Product.withFields( "Notebook 13\"", "256 GB SSD", 9900, true, notebookCategoryId, 0, false).save();
await Product.withFields( "Notebook 13\"", "512 GB SSD", 11000, null, notebookCategoryId, 0, false).save();
await Product.withFields( "Notebook 15\"", "128 GB SSD", 8999, null, notebookCategoryId, 0, false).save();
await Product.withFields( "Notebook 15\"", "256 GB SSD", 10499, null, notebookCategoryId, 0, false).save();
await Product.withFields( "Notebook 15\"", "512 GB SSD", 11999, true, notebookCategoryId, 0, false).save();

await Product.withFields( "Ultrabook 13\"", "128 GB SSD i5", 9954, true, ultrabookCategoryId, 0, false).save();
await Product.withFields( "Ultrabook 13\"", "256 GB SSD i5", 11154, true, ultrabookCategoryId, 0, false).save();
await Product.withFields( "Ultrabook 13\"", "512 GB SSD i5", 13000, true, ultrabookCategoryId, 0, false).save();
await Product.withFields( "Ultrabook 15\"", "128 GB SSD i7", 11000, true, ultrabookCategoryId, 0, false).save();
await Product.withFields( "Ultrabook 15\"", "256 GB SSD i7", 12000, true, ultrabookCategoryId, 0, false).save();
await Product.withFields( "Ultrabook 15\"", "512 GB SSD i7", 14000, true, ultrabookCategoryId, 0, false).save();

See sample usage of sqf below

To run this statement "SELECT * FROM PRODUCTS" Try below:

final productList = await Product().select().toList();

for (int i = 0; i < productList.length; i++) {
    print(productList[i].toMap());
}

To run this statement "SELECT * FROM PRODUCTS WHERE id=5" There are two way for this statement

The First is:

   var product = await Product().getById(5);

Second one is:

 var product = await Product().select().id.equals(5).toSingle();

SELECT FIELDS, ORDER BY EXAMPLES

EXAMPLE 1.2: ORDER BY FIELDS ex: SELECT * FROM PRODUCTS ORDER BY name, price DESC, id 
        -> await Product().select().orderBy("name").orderByDesc("price").orderBy("id").toList()

EXAMPLE 1.3: SELECT SPECIFIC FIELDS ex: SELECT name,price FROM PRODUCTS ORDER BY price DESC 
        -> await Product().select(columnsToSelect: ["name","price"]).orderByDesc("price").toList()

SELECT AND FILTER EXAMPLES:

EXAMPLE 2.1: EQUALS ex: SELECT * FROM PRODUCTS WHERE isActive=1 
->  await Product().select().isActive.equals(true).toList()

EXAMPLE 2.2: WHERE field IN (VALUES) ex: SELECT * FROM PRODUCTS WHERE ID IN (3,6,9) 
-> await Product().select().id.inValues([3,6,9]).toList()

EXAMPLE 2.3: BRACKETS ex: SELECT TOP 1 * FROM PRODUCTS WHERE price>10000 AND (description LIKE '%256%' OR description LIKE '512%') 
-> await  Product().select()
  .price
  .greaterThan(10000)
  .and.startBlock.description.contains("256").or.description.startsWith("512").endBlock
  .toSingle();

EXAMPLE 2.4: BRACKETS 2: SELECT name,price FROM PRODUCTS WHERE price<=10000 AND (description LIKE '%128%' OR description LIKE '%GB') 
->  await Product().select(columnsToSelect:["name","price"])
   .price.lessThanOrEquals(10000)
   .and.startBlock.description.contains("128").or.description.endsWith("GB").endBlock
   .toList();

EXAMPLE 2.5: NOT EQUALS ex: SELECT * FROM PRODUCTS WHERE ID <> 11 
-> await Product().select().id.not.equals(11).toList();
        
EXAMPLE 2.6: GREATERTHEN OR EQUALS, LESSTHAN OR EQUALS ex: SELECT * FROM PRODUCTS WHERE price>=10000 AND price<=13000 
-> await Product().select().price.greaterThanOrEquals(10000).and.price.lessThanOrEquals(13000).toList();        

EXAMPLE 2.7: BETWEEN ex: SELECT * FROM PRODUCTS WHERE price BETWEEN 8000 AND 14000 
-> await Product().select().price.between(8000,14000).orderBy("price").toList();

EXAMPLE 2.8: 'NOT' KEYWORD ex: SELECT * FROM PRODUCTS WHERE NOT id>5 
-> await Product().select().id.not.greaterThan(5).toList();

WRITE CUSTOM SQL FILTER

EXAMPLE 2.9: WRITING CUSTOM FILTER IN WHERE CLAUSE ex: SELECT * FROM PRODUCTS WHERE id IN (3,6,9) OR price>8000 
-> await Product().select().where("id IN (3,6,9) OR price>8000").toList()

EXAMPLE 2.10: Build filter and query from values from the form
-> await Product().select()
   .price.between(minPrice, maxPrice)
   .and.name.contains(nameFilter)
   .and.description.contains(descFilter)
   .toList()

SELECT WITH DELETED ITEMS (SOFT DELETE WHEN USED)

EXAMPLE 2.11: EXAMPLE 1.13: Select products with deleted items
-> await Product().select(getIsDeleted: true).toList()

EXAMPLE 2.12: Select products only deleted items 
-> await Product().select(getIsDeleted: true).isDeleted.equals(true).toList()

LIMITATION, PAGING

EXAMPLE 3.1: LIMITATION SELECT TOP 3 * FROM PRODUCTS ORDER BY price DESC 
-> await Product().select().orderByDesc("price").top(3).toList()

EXAMPLE 3.2: PAGING: PRODUCTS in 3. page (5 items per page) 
-> await Product().select().page(3,5).toList()

DISTINCT

EXAMPLE 4.1: DISTINCT: SELECT DISTINCT name FROM PRODUCTS WHERE price > 3000 
-> await Product().distinct(columnsToSelect:["name"]).price.greaterThan(3000).toList();

GROUP BY

EXAMPLE 4.2: GROUP BY WITH SCALAR OR AGGREGATE FUNCTIONS
SELECT name, COUNT(id) AS Count, MIN(price) AS minPrice, MAX(price) AS maxPrice, AVG(price) AS
avgPrice, SUM(price) AS sumPrice FROM PRODUCTS GROUP BY name 
-> await Product()
    .select(columnsToSelect: [
    ProductFields.name.toString(),
    ProductFields.id.count("Count"),
    ProductFields.price.min("minPrice"),
    ProductFields.price.max("maxPrice"),
    ProductFields.price.avg("avgPrice"),
    ProductFields.price.sum("sumPrice"),
  ])
  .groupBy(ProductFields.name.toString() /*also you can use this .groupBy("name")*/)
  .toListObject();

RELATIONSHIPS

EXAMPLE 7.1: goto Category from Product 

final product = await Product().getById(1);
final category = await product.getCategory();
print(category.toMap());

Results:
{id: 1, name: Notebooks, isActive: true, isDeleted: false}


EXAMPLE 7.2: Products of 'Notebooks Category' listing 

final category = await Category().getById(1);
final productList = await category.getProducts();

for(var product in productList) {
   print(product.toMap());
   }

Results: Products of 'Notebooks' listing 9 matches found:
{id: 1, name: Notebook 12", description: 128 GB SSD i7, price: 6899.0, isActive: true, categoryId: 1, rownum: 1, isDeleted: false}
{id: 2, name: Notebook 12", description: 256 GB SSD i7, price: 8244.0, isActive: true, categoryId: 1, rownum: 0, isDeleted: false}
....

These were just a few samples. You can download and review dozens of examples written below

save() Method for insert or update (for both)

await Product(name:"test product").save(); // inserts a new record if id is null or equals to zero
await Product(id:1, name:"test product").save(); // updates record

saveAll() Method for insert or update List (for both)

var productList= List<Product>();
// TO DO.. add products to list

// Save All products in the List
 final results = await Product().saveAll(productList);
 
print(" List<BoolResult> result of saveAll method is following:");
for (var result in results) {
   print(result.toString());
}

upsertAll() Method for insert or update List (for both)

Note: upsertAll() method is faster then saveAll() method. upsertAll() should be used when you are sure that the primary key is greater than zero

var productList= List<Product>();
// TO DO.. add products to list with ID (ID>0) (primary key must be greater then 0)

// Upsert All products in the List
final results = await Product().upsertAll(productList);
for (var result in results) {
    print(result.toString());  
}

UPDATE multiple records with query

EXAMPLE 5.1: UPDATE PRODUCT SET isActive=0 WHERE ID>=10

final result = await Product().select().id.greaterThan(10).update({"isActive": 0});
print(result.toString());

DELETE multiple records with query

EXAMPLE 6.4: DELETE PRODUCT WHERE ID>17

final result = await Product().select().id.greaterThan(17).delete();
print(result.toString());

Syncronize data from the web

EXAMPLE 8.2: Fill List from web with Url (JSON data) and saveAll

Step 1: Todo.fromWebUrl("URL",(todosList){}) method gets json data from the web and loads into the todosList

Step 2: Call Todo().upsertAll(todosList) method saves all data in your local database

 todosList = await Todo.fromWebUrl("https://jsonplaceholder.typicode.com/todos");
  final results = await Todo().upsertAll(todosList);

  // print upsert Results
  for (var res in results) {
    print(res.toString()); 
  }

  todosList = await Todo().select().top(10).toList();
  print(todosList.length.toString() + " matches found\n");
  for (var todo in todosList) {
    print(todo.toMap());
  }

Run sql raw query on database, or get datatable

EXAMPLE 9.1: Execute custom SQL command on database

final sql = "UPDATE product set isActive=1 where isActive=1";
final result = await MyDbModel().execSQL(sql);
print(result.toString());

result:

flutter: sql command executed successfully

EXAMPLE 9.2: Execute custom SQL command List on database

final sqlList=List<String>();
final result = await MyDbModel().execSQLList(sqlList);
print(result.toString());

result:

sql command list executed successfuly

EXAMPLE 9.3 Execute custom SQL Query and get datatable -> returns List<Map<String,dynamic>>

await MyDbModel().execDataTable('SELECT name, price FROM product order by price desc LIMIT 5');

result: (5 row)

    flutter: {name: Ultrabook 15", price: 14000.0}
    flutter: {name: Ultrabook 13", price: 13000.0}
    flutter: {name: Ultrabook 15", price: 12000.0}
    flutter: {name: Notebook 15", price: 11999.0}
    flutter: {name: Ultrabook 13", price: 11154.0}

EXAMPLE 9.4 Execute custom SQL Query and get first col of first row (execute scalar)

await MyDbModel().execScalar('SELECT name FROM product order by price desc');

result: (1 row)

 flutter: Ultrabook 15"

EXAMPLE 10 SqfEntity Sequence Samples

final int currentVal = await IdentitySequence().currentVal();
final int nextVal = await IdentitySequence().nextVal();
final int nextVal2 = await IdentitySequence().nextVal();
final int currentVal2 = await IdentitySequence().currentVal();

// You can reset sequence anytime
final int currentVal3 = await IdentitySequence().reset();

print("""
IdentitySequence().currentVal = $currentVal
IdentitySequence().nextVal = $nextVal
IdentitySequence().nextVal = $nextVal2
IdentitySequence().currentVal = $currentVal2
IdentitySequence().reset = $currentVal3 // returns start value
""");

CONVERTING ANY OBJECT OR LIST TO Json METHOD (WITH NESTED/RELATIONED OBJECTS)

EXAMPLE 11.1 single object to Json

final product = Product().select().toSingle();
final jsonString = product.toJson();
print(jsonString);

result is:

flutter: {"id":1,"name":"Notebook 12\"","description":"128 GB SSD i7","price":6899.0,"isActive":true,"categoryId":1,"rownum":1,"imageUrl":"https://raw..","isDeleted":false}

EXAMPLE 11.2 object list with nested objects to Json

final jsonStringWithChilds =  await Category().select().toJson(); // all categories selected
print(jsonStringWithChilds);