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- j2s
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Readme
j2s
JSON to SQL, build RESTful API server on the fly, which accepts JSON describing SQL query statements, and do CRUD accordingly, with configurable access control & pluggable middlewares.
- Tired of creating API every time that front-end requires new feature?
- Your front-end development always are lagged due to backend API not yet ready?
- API now immediately ready after you defines your model(and tables), no data query or fetching logic implementation needed!
j2s provides extreme flexibility to let front-end compose powerful query statements via JSON, and let backend do CRUD accordingly, without adding ANY code to your backend (except for routing paths configs & corresponding ORM model definitions).
j2s relies on Bookshelf.js for data modeling, and maps url routes to models according to user configured options, and provides RESTful API for these routes. Note that Bookshelf relies on knex.js for query building, you'll need that dependency as well.
j2s are currently tested to work with koa.js and works fine.
Supported JSON for a query will looks like:
{
"where": {
"user.id__gt": 1,
"user.id__lt": 10,
"user.id__between": [1, 10],
"user.id__not_between": [11, 13],
"username__ne": "yo",
"username__in": ["test1", "test2", "test4", "test6"],
"or": {
"username": "test",
"user.id__in": [1, 2, 3]
}
},
"join": {
"photo": {
"user.photo_id": "photo.id"
}
},
"populate": ["photo"],
"select": ["user.id as user_id", "user.username", "photo.url as photo_url"],
"limit": 10,
"offset": 1,
"order_by": ["user.id", "desc"]
}
Usage
Following shows an working example with proper environments
and how you could setup j2s routes with access control,
we assume that User has an one-to-many relation with Photo,
User has an many-to-many relation to Book, and User may have zero or one Account,
the Account model determines whether a user is administrator in its is_admin
column.
// model.js
const knex = require('knex')({
client: 'postgresql', // or any knex supported client
connection: {
host: process.env.DB_HOST || '127.0.0.1',
port: process.env.DB_PORT || '5432',
database: process.env.DB_NAME,
user: process.env.DB_USER,
charset: 'utf8'
}
});
const bookshelf = require('bookshelf')(knex);
const User = bookshelf.Model.extend({
tableName: 'user',
hasTimestamps: true,
account: function() {
return this.hasOne(Account);
}
photo: function() {
return this.belongsTo(Photo);
},
books: function() {
return this.belongsToMany(Book)
}
})
const Account = bookshelf.Model.extend({
tableName: 'account',
user: function() {
return this.belongsTo(User);
}
})
const Photo = bookshelf.Model.extend({
tableName: 'photo',
hasTimestamps: true,
uploader: function() {
return this.belongsTo(User);
}
})
const Book = bookshelf.Model.extend({
tableName: 'book',
hasTimestamps: true,
authors: function() {
return this.belongsToMany(User)
}
})
module.exports = {
bookshelf: bookshelf,
User: User,
Photo: Photo,
Book: Book,
Account: Account
}
// routes.js
const J2S = require('j2s');
const orm = require('./model');
module.exports = {
'/users': orm.User, // access control obeys 'access' in J2S default configurations
'/photos': {
model: orm.Photo,
access: {
C: J2S.ALLOW,
R: {photo_id: id} // allow reads only when user.photo_id = photo.id
// let updates and deletion obey 'defaultAccess'
}
},
'/books': {
model: orm.Book,
middlewares: [], // ignore any middlewares
access: {
// allow updates on books only when the book is written by the request user
U: (identity, instance) => {
// here, 'identity' represents the request User, 'instance' represents a queried Book
return identity.books().fetch().then(function(books) {
return books.some(function(book) {
return book.id == instance.id
})
})
}
}
},
// do not expose the Account model to users
}
// app.js
const orm = require('./model');
const J2S = require('j2s')
// J2S default configurations for all routes
const options = {
prefix: '/api', // optional
routes: require('./routes'), // necessary
bookshelf: orm.bookshelf // necessary
access: {
C: J2S.ALLOW,
R: J2S.DENY,
U: J2S.DENY,
D: J2S.DENY
}, // optional
forbids: ['join', 'cross_join'] // optional
middlewares: [async function (ctx, next) {
// add an authentication middleware
// assume that request header contains user ID and a given access token,
// check that user with that token exists in database
let user = await orm.User.where({
id: ctx.request.header.user_id,
token: ctx.request.header.token
}).fetch();
if (!user) {
throw new Error('authentication fail')
}
await next();
}], // optional
identity: function (request) {
// should return a Promise that resolves to a Bookshelf.js model instance
return orm.User.where({id: request.header.user_id}).fetch();
}, // optional, don't set this to ignore access control, defaults to allow all
admin: function(identity) {
// should return a Promise that resolves to true or false
return identity.account().fetch().then(function(account) {
if (!account) {
return false;
}
return account.get('is_admin');
})
}, // optional, the admin callback allows some user to bypass all access control rules
}
const j2s = new J2S(options)
const Koa = require('koa');
const app = new Koa();
app.use(j2s.routes());
app.use(j2s.allowedMethods());
Access control
Configurations in routes allows you to determine whether a user could do CRUD on the resource. a route with access control looks like following:
{
'path': {
model: SomeBookshelfModel,
access: {
C: strategy,
R: strategy,
U: strategy,
D: strategy,
}
}
}
You could omit any of the C, R, U, D, keys and they would behave as how you specified in defaultAccess
option.
The strategy could be as following:
J2S.ALLOW
: Allow all access to the resource.J2S.DENY
: Deny all access to the resource,{identity_attr: 'target_attr'}
: Allow access when theidentity_attr
equals totarget_attr
, whereidentity_attr
is an attribute on the model returned by theidentity
callback (normally an column in user table), andtarget_attr
is an attribute on the resource the user wants to access. Useful for one-to-one and one-to-many relations.- A callback function: You could use a function that returns a Promise that later resolves to true or false as the strategy. This is especially useful to design access control rules that relies on many-to-many relations.
If you don't want access control at all, you could set your routes as:
{
'path': SomeBookshelfModel
}
Middlewares
j2s allow any valid koa middleware to be run sequentially before running the CRUD, you could put any middleware you like, including authentication middlewares. You have following ways to setup middlewares.
The
middlewares
in j2s options, e.g.const J2S = require('j2s') const j2s = new J2S({ middlewares: [function* (next) { // your middleware logic }], // .... other settings })
The
middlewares
in routes, e.g.'/some_route': { model: orm.SomeBookshelfModel, middlewares: [/* any number of middlewares here */], access: { C: J2S.ALLOW, R: J2S.ALLOW, U: J2S.ALLOW, D: J2S.ALLOW } },
You could set
middlewares
to empty list to opt out all middlewares for a single route.
Basic Query Examples
NOTE: examples below only show fake data with fake model attributes merely for demonstration purpose, the actual attributes depends how you define your tables, either by manually creating tables or using knex migrations. Also, you could use Bookshelf triggers to hash password, examples here show plain text for simplicity.
GET hostname/api/users?query={"where":{"id":1}}
To get a user with id equals to 1.
The result would be something like:
{ "data": [ { "id": 1, "username": "test1", "email": "test1@gmail.com", "password": "1234", "created_at": "2016-09-15T05:44:45.678Z", "updated_at": "2016-09-17T09:20:21.672Z" } ] }
There is a shortcut to get one instance using id, above query is equal to
GET hostname/api/users/1
, but this only applies to GET method, and the resulting data would only contains an JSON object instead of a list, which is like:{ "data": { "id": 1, "username": "test1", "email": "test1@gmail.com", "password": "1234", "created_at": "2016-09-15T05:44:45.678Z", "updated_at": "2016-09-17T09:20:21.672Z" } }
GET hostname/api/users?query={"where":{"id__lt": "3", "username__ne": "test"}, "populate": ["photo"]}
To get users where id less than 3 and username not equal to "test", and populate the 'photo_id' foreign key with the related object.
The result would be something like:
{ "data": [ { "id": 1, "username": "test1", "email": "test1@gmail.com", "password": "1234", "created_at": "2016-09-15T05:44:45.678Z", "updated_at": "2016-09-17T09:20:21.672Z", "photo": { "id": 3, "name": "test3.png", "url": "http://test.com/test3.png", "created_at": "2016-09-15T05:44:45.662Z", "updated_at": "2016-09-15T05:44:45.662Z" } }, { "id": 2, "username": "test2", "email": "test2@gmail.com", "password": "1234", "created_at": "2016-09-15T05:44:45.679Z", "updated_at": "2016-09-17T09:20:21.672Z", "photo": { "id": 3, "name": "test3.png", "url": "http://test.com/test3.png", "created_at": "2016-09-15T05:44:45.662Z", "updated_at": "2016-09-15T05:44:45.662Z" } } ] }
POST hostname/api/users
with request body of typeapplication/json
as following:{ "data": [{ "username": "test12", "email": "test12@test.com", "password": "1234", "photo_id": 3 }, { "username": "test13", "email": "test13@test.com", "password": "1234", "photo_id": 3 }] }
will create an instance in user table, and returns following result:
{ "data": [ { "username": "test12", "email": "test12@test.com", "password": "1234", "photo_id": 3, "updated_at": "2016-09-18T16:32:41.013Z", "created_at": "2016-09-18T16:32:41.013Z", "id": 12 }, { "username": "test13", "email": "test13@test.com", "password": "1234", "photo_id": 3, "updated_at": "2016-09-18T16:32:41.332Z", "created_at": "2016-09-18T16:32:41.332Z", "id": 13 } ] }
PUT hostname/api/users
with request body of typeapplication/json
as follwoing:{ "query": { "where": { "id__in": [1,2,3] } }, "data": { "photo_id": 3 } }
will find instances that id is in the list [1,2,3], and updates their 'photo_id' to 3, results in the following response:
{ "data": { "photo_id": 3, "updated_at": "2016-09-15T05:46:36.535Z" } }
DELETE hostname/api/users
with request body of typeapplication/json
as follwoing:{ "query": { "where": { "username": "test13" } } }
will find the instance with username equals to "test13" and delete it, returns following response:
{ "data": {} }
Query Syntax
The query
section for a request supports almost all the operations allowed in sql, composed with series of key value pairs.
Available top level keys are:
where
: specifies query conditions, value example:{"username": "hello"}
select
: specifies which columns to select, value example:["id AS user_id", "username"]
order_by
: order the results by a columns, desc, or asc, value example:["id", "desc"]
limit
: limit the query result to certain number, value example:10
offset
: skip query result to certain number, value example:10
populate
: populates any foreign constraint relations with the values in the foreign table, you must define relations using Bookshelf on your own, like thephoto
function ofUser
model in examples above. The value of a population could also be an JSON object that contains nested query statements. value example:["photo"]
or like following:
[{ "photo": { "select": ["id", "url"] } }]
joins: lots of joining operations are supported, available keywords including:
join
,inner_join
,left_join
,left_outer_join
,right_join
,right_outer_join
,full_outer_join
,cross_join
. value example of ajoin
:{ "photo": { "user.photo_id": "photo.id" } }
which will join the "photo" table on the condition that "photo_id" column of the "user" table with value equal to the "id" column of the "photo" table. (the example assumes the querying table is the "user" table)
Joins could also contains subqueries, which might looks like:
{ "photo": { "subquery": { "select": ["photo.uploader_id"], "group_by": "photo.uploader_id", "count": "photo.id AS upload_count" }, "as": "uploads", "on": { "uploads.uploader_id": "user.id" } } }
Above example assumes that every Photo has one or no user as the uploader, and the query could have
select: ["upload_count"]
to get values that how many photos each user uploads.group_by
: group by a column, need to be used along with aggregation methods. value example:"photo_id"
count
: count on a column. value example:"id"
count
could also be a JSON Array to apply multiple count clauses as following:["id", "gender"]
min
: get minimum value on a column. value example:"badge"
max
: get maximum value on a column. value example:"badge"
avg
: get average value on a column. value example:"badge"
Where Conditions Suffixes
You can use suffix appended after a column in a where condition to achieve advanced query clause.
Suffixes are appended after a column name followed by TWO underscores, like user__gt
.
Available suffixes includes:
gt
: greater thangte
: greater than or equal tolt
: less thanlte
: less than or equal tone
: not equal tobetween
: between two valuesnot_between
: not between two valuesin
: in a list of valuesnot_in
: not in a list of valuesnull
: set to true to find records with null values on that column, or false to find not null ones.and
: an AND operation, this special keyword allows recursive conditions parsing, all conditions inside anand
JSON object are ANDed together.or
: an OR operation, this special keyword allows recursive conditions parsing, all conditions inside anor
JSON object are ORed together.exists
: an EXISTS subquery, see Advanced Examplesnot exists
: an NOT EXISTS subquery, see Advanced Exampleslike
: like a string, case sensitive. The value is automatically wrapped inside a pair of percentage symbols, to achive substring match. For example,{like: 'apple'}
would be equivalent tolike '%apple%'
SQL statement.not_like
: not like a string, case sensitive. The value is also automatically wrapped inside a pair of percentage symbols.ilike
: like a string, case insensitive (PostgreSQL only).not_ilike
: not like a string, case insensitive (PostgreSQL only).reg_like
: a POSIX regex match statement, case sensitive (PostgreSQL only).reg_not_like
: a POSIX regex not match statement, case sensitive (PostgreSQL only).reg_ilike
: a POSIX regex match statement, case insensitive (PostgreSQL only).reg_not_ilike
: a POSIX regex not match statement, case insensitive (PostgreSQL only).
Extra Attributes and Extra Clauses on query
j2s allows backend developers to define some extra functions on model class and model prototype, then when front-end queries, they could specify what clause or attribute they want to add, to add extra information or extra query conditions when j2s executes the query, via the add_attr
and add_clause
keywords.
add_attr
Conecpt of add_attr
is that, backend developer defines some member functions on the bookshelf model prototype, then when instances are fetched from database according to the query conditions, j2s executes the member function on EACH instance that has been queried, and add one more attributes on the object in the response. It's useful when that you need some extra attributes or column on the response object that needs complicated logic or DB operations or any asynchronous operations.
For example, the backend defines following methods on Post model prototype:
const Comment = bookshelf.Model.extend({
tableName: 'comment';
})
const Post = bookshelf.Model.extend({
tableName: 'post',
comments: function() {
return this.hasMany(Comment);
}
})
/**
* has_comment - check that whether the post has one or more comments;
*
* @param {Context} ctx koa context object
*
* @return {boolean} boolean indicates whether the post has one or more comments;
*/
Post.prototype.has_comment = async function(ctx) {
let count = await this.comments().query().count();
return count !== 0;
}
And the front-end sends the query GET hostname/users?query={"add_attr":["has_comment"]}
,
the server would respond something like following:
{
"data": [
{
"id": 1,
"content": "oh so this is how add_attr means!",
"has_comment": true
},
{
"id": 2,
"content": "it means you'll get one more attributes named `has_comment` on each object",
"has_comment": false
}
]
}
add_clause
Concept of add_clause is that, the backend developer could define some member function on the bookshelf model class, then when j2s receives a request, it would add some extra query clauses to the query object BEFORE it executes the query. it's useful when you want to reduce the burden to figure out how to write a complicate SQL query for the front-end developers, or some keywords like join
is forbidden to be used for the front-ends, then backend could take care of it.
For example, front-end sends GET host/users?query={"add_clause":["filter_active"]}
and backend defines following method on the User model:
const User = core.bookshelf.Model.extend({
tableName: 'user'
})
/**
* filter_active - filter out the users that is active, which means that the user's email has been verified, and the deletion flag is not set on the user, assuming there are two columns `email_verified` and `deleted` in the user table
*
* @param {Context} ctx the koa context object
* @param {object} query the JSON object that represents the query
*
* @return {object} should return the modified query object
*/
User.filter_active = async function(ctx, query) {
if (!_.has(query, 'where')) {
query.where = {};
}
query.where.email_verified == true;
query.where.deleted = false;
return query;
}
then the server may response something like following:
{
"data": [
{
"id": 1,
"username": "bob",
"email_verified": true,
"deleted": false
}, {
"id": 2,
"username": "evan",
"email_verified": true,
"deleted": false
}
]
}
Advanced Examples
{
"where": {
"user.id__gt": 1,
"user.id__lt": 10,
"user.id__between": [1, 10],
"user.id__not_between": [11, 13],
"username__ne": "yo",
"username__in": ["test1", "test2", "test4", "test6"],
"or": {
"username": "test",
"user.id__in": [1, 2, 3]
},
"exists": {
"photo": {
"user.photo_id": "photo.id"
}
}
},
"join": {
"photo": {
"user.photo_id": "photo.id"
}
},
"populate": ["photo"],
"select": ["user.id as user_id", "user.username", "photo.url as photo_url"],
"limit": 10,
"offset": 1,
"order_by": ["user.id", "desc"]
}