odata-fluent-query

Client side queries with extensive filtering and typesafe joins

This lib only generates the query string, so you need to use it with your own implementation of http request. There is no need to scaffold any pre build model.

• Filtering with filter
• Ordering with orderBy
• Selecting with select
• Expanding with expand
• Expanding with groupBy
• Paginating with paginate
• Development

Filtering with filter

Every query exposes a method called filter. This method accepts a function as parameter that builds an expression.

import { odataQuery } from 'odata-fluent-query'

odataQuery<User>()
  .filter(u => u.id.equals(1))
  .toString()

// result: $filter=id eq 1

Note that the parameter u is not a User type but FilterBuider<User>. The FilterBuider will exposes all properties from T as FilterBuilderType to provide all filter functions based on its property type which can be:

• FilterCollection
• FilterString
• FilterNumber
• FilterBoolean
• FilterDate
• FilterBuilder

Check out all the available methods here.

export type FilterBuider<T> = {
  [P in keyof T]: FilterBuilderType<T[P]>
}

You can modify/combine expressions using not(), and() and or().

.filter(u => u.username.contains('dave').not()) //where the username doest not contain dave

.filter(u => u.emailActivaed.equals(true).and(u.username.contains('dave')))

Calling filter multiple times will merge the expression in a bigger expression using the and operator. In this example you will get the users where "the id is not equal to 1 AND the username start with 'harry'".

import { odataQuery } from 'odata-fluent-query'

odataQuery<User>()
  .filter(u => u.id.notEquals(1))
  .filter(u => u.username.startsWith('Harry'))
  .toString()

// result: $filter=id eq 1 and startswith(username, 'Harry')

More filter examples:

odataQuery<User>().filter(u => not(u.id.equals(1))) //where the id is not 1

// result: $filter=id ne 1

odataQuery<User>().filter(u => u.id.equals(1).and(
  u.username.startsWith('Harry') //where the id is 1 AND the username starts with 'harry'
)))

// result: $filter=id eq 1 and startswith(username, 'harry')

odataQuery<User>().filter(u => u.id.equals(1).or(
  u.username.startsWith('Harry') //where the id is 1 OR the username starts with 'harry'
)))

// result: $filter=id eq 1 or startswith(username, 'harry')

odataQuery<User>().filter(u => u.email.startswith(u.name)) //You can also use properties of the same type instead of just values

// result: $filter=startswith(email, name)

You can also use "key selector" passing the property key at the first parameter.

odataQuery<User>().filter('id', id => id.equals(1))

// result: $filter=id eq 1

Selecting properties with select

select is used to select a set of properties of your model:

import { odataQuery } from 'odata-fluent-query'

odataQuery<User>().select('id', 'username')

// result: $select=id,username

Ordering with orderBy

orderby is used to order the result of your query. This method accepts a function that returns the property you want to order by.

odataQuery<User>().orderBy(u => u.id)

// result: $orderby=id

It is possible to order on relations:

odataQuery<User>()
  .select('username')
  .orderBy(u => u.address.city)

// result: $select=username;$orderby=address/city

You can set the order mode by calling Desc or Asc.

odataQuery<User>().orderBy(u => u.id.desc())

// result: $orderby=id desc

You can also orderBy with key string.

odataQuery<User>().orderBy('id', 'desc')

// result: $orderby=id desc

Expanding with expand

expand is used to load the relationships of the model within the current query. This query can be used to filter, expand and select on the relation you are including.

import { odataQuery } from 'odata-fluent-query'

odataQuery<User>()
  .expand('blogs') // or .expand(u => u.blogs)
  .toString()

// result: $expand=blogs

All the query methods are available inside an "expand" call.

import { odataQuery } from 'odata-fluent-query'

odataQuery<User>()
  .expand('blogs', q =>
    q
      .select('id', 'title')
      .filter(b => b.public.equals(true))
      .orderBy('id')
      .paginate(0, 10)
  )
  .toString()

// result: $expand=blogs($skip=0;$top=10;$orderby=id;$select=id,title;$filter=public eq true)

It's possible to nest "expand" calls inside each other.

import { odataQuery } from "odata-fluent-query";

odataQuery<User>()
  .expand('blogs', q => q
    .select('id', 'title')
    .expand('reactions' q => q.select('id', 'title')
  ))
  .toString();

// result: $expand=blogs($select=id,title;$expand=reactions($select=id,title))

Key getters can easily get to deeper levels.

odataQuery<User>()
  .expand(
    u => u.blogs.reactions,
    q => q.select('id', 'title')
  )
  .toString()

// result: $expand=blogs/reactions($select=id,title)

Grouping with groupBy

groupBy uses odata $apply method to group data by property with optional aggregations.

import { odataQuery } from 'odata-fluent-query'

odataQuery<User>().groupBy(['email']).toString()

// result: $apply=groupby((email))

It's posible to apply custom aggregations.

import { odataQuery } from 'odata-fluent-query'

odataQuery<User>()
  .groupBy(['email', 'surname'], a =>
    a.countdistinct('id', 'all').max('phoneNumbers', 'test')
  )
  .toString()

// result: $apply=groupby((email, surname), aggregate(id with countdistinct as all, phoneNumbers with max as test))

Paginating with paginate

paginate applies $top, $skip and $count automatically.

import { odataQuery } from 'odata-fluent-query'

odataQuery<User>().paginate(10).toString()

// result: $top=10&$count=true

Skip and top.

import { odataQuery } from 'odata-fluent-query'

odataQuery<User>().paginate(25, 5).toString()

// result: $skip=125&$top=25&$count=true

Using object and setting count to false.

import { odataQuery } from 'odata-fluent-query'

odataQuery<User>().paginate({ page: 5, pagesize: 25, count: false }).toString()

// result: $skip=125&$top=25

Development

Dependencies are managed by using npm. To install all the dependencies run:

npm

To build the project run:

npm build

The output files will be placed in the build directory. This project contains unittest using jest and ts-jest. They are placed in the test directory. To run all the test run:

npm run test

After this you can open coverage/lcov-report/index.html in your browser to see all the details about you tests. To publish the package you can run:

npm publish