This package allows you to both easily construct Postgrest query strings and also make postgrest requests using Elm.
This library allows you to construct and execute requests in a typesafe manner, with
little boilerplate. Here's what Api.People might look like:
import Api.People.Decoders exposing (..)
import Api.People.Encoders exposing (..)
import Api.People.Types exposing (..)
import Json.Decode exposing (..)
import Postgrest.Client as P
endpoint : P.Endpoint Person
endpoint =
P.endpoint
(postgrestURL "/people")
decodeUnit
primaryKey : P.PrimaryKey PersonID
primaryKey =
P.primaryKey ( "id", P.int << personID )
getMany : P.Params -> P.Request (List Person)
getMany params =
P.getMany endpoint
|> P.setParams params
delete : PersonID -> P.Request PersonID
delete =
P.deleteByPrimaryKey endpoint primaryKey
post : PersonSubmission -> P.Request Person
post submission =
P.postOne endpoint (encode submission)Here's how you could use it:
import Api.People as People
import Postgrest.Client as P
jwt =
P.jwt "myjwt"
cmdExamples =
[ People.post
{ firstName = "Yasujirō"
, lastName = "Ozu"
}
|> P.toCmd jwt PersonCreated
, People.getMany
[ P.order [ P.asc "firstName" ], P.limit 10 ]
|> P.toCmd jwt PeopleLoaded
, Person.delete personID
|> P.toCmd jwt PersonDeleted
]Most query operators are currently supported:
selectIf you're not selecting any nested resources in your request, you can use attributes:
-- "select=id,name"
P.toQueryString
[ P.select <| P.attributes [ "id", "name" ]
]If you want to select attributes and resources, you can use the attribute and resource functions:
-- select=id,name,grades(percentage)
P.toQueryString
[ P.select
[ P.attribute "id"
, P.attribute "name"
, P.resource "grades"
[ P.attribute "percentage"
]
]
]The library also provides a nice abstraction that allows you to both specify nested resources in a select clause, as well as use other postgrest parameters on those nested resources such as order, limit, and all of the usual conditional parameters such as eq:
-- select=id,name,grades(percentage)&grades.order=percentage.desc&grades.limit=10
P.toQueryString
[ P.select
[ P.attribute "id"
, P.attribute "name"
, P.resourceWithParams "grades"
[ P.order [ P.desc "percentage" ], P.limit 10 ]
[ P.attribute "percentage"
]
]
]The library currently supports the most commonly used query parameters. Here's a sampling of how they can be used in combination with one another:
-- student_id=eq.100&grade=gte.90&or=(self_evaluation.gte.90,self_evaluation.is.null)
P.toQueryString
[ P.param "student_id" <| P.eq <| P.int 100
, P.param "grade" <| P.gte <| P.int 90
, P.or
[ P.param "self_evaluation" <| P.gte <| P.int 90
, P.param "self_evaluation" P.null
]
]The in operator can be used with inList. The second parameter is a list of whatever values you're using in your app and the first argument is the function that will transform the items in that list into the library's Value type such as string or int.
-- name=in.("Chico","Harpo","Groucho")
P.toQueryString
[ P.param "name" <| P.inList P.string [ "Chico", "Harpo", "Groucho" ]
]You can order results by multiple columns as well as using nullsfirst or nullslast.
-- order=age.asc.nullsfirst,created_at.desc
P.toQueryString
[ P.order
[ P.asc "age" |> P.nullsfirst
, P.desc "created_at"
]
]Maybe you have default parameters that you want to reuse across multiple functions. You can combine them using combineParams:
defaultParams : P.Params
defaultParams =
[ P.select <| P.attributes [ "id", "name" ]
, P.limit 10
]
constructParams : P.Params -> P.Params
constructParams =
P.combineParams defaultParams
-- limit=100&select=id,name
constructParams [ P.limit 100 ]Note that the merging of the two sets is not recursive. The two are merged by the final query parameter name such as order or children.order, etc... and the second set's value is always preferred.