3The source for this tutorial section is a literate haskell file, so first we
4need to have some language extensions and imports:
7{-# LANGUAGE DataKinds #-}
8{-# LANGUAGE DeriveGeneric #-}
9{-# LANGUAGE FlexibleInstances #-}
10{-# LANGUAGE MultiParamTypeClasses #-}
11{-# LANGUAGE OverloadedStrings #-}
12{-# LANGUAGE TypeOperators #-}
13{-# OPTIONS_GHC -fno-warn-orphans #-}
17import Data.ByteString.Lazy (ByteString)
19import Data.Text.Lazy.Encoding (encodeUtf8)
20import Data.Text.Lazy (pack)
21import Network.HTTP.Types
28And we'll import some things from one of our earlier modules
29([Serving an API](Server.html)):
32import Server (Email(..), ClientInfo(..), Position(..), HelloMessage(..),
33 server3, emailForClient)
36Like client function generation, documentation generation amounts to inspecting the API type and extracting all the data we need to then present it in some format to users of your API.
38This time however, we have to assist **servant**. While it is able to deduce a lot of things about our API, it can't magically come up with descriptions of the various pieces of our APIs that are human-friendly and explain what's going on "at the business-logic level". A good example to study for documentation generation is our webservice with the `/position`, `/hello` and `/marketing` endpoints from earlier:
41type ExampleAPI = "position" :> Capture "x" Int :> Capture "y" Int :> Get '[JSON] Position
42 :<|> "hello" :> QueryParam "name" String :> Get '[JSON] HelloMessage
43 :<|> "marketing" :> ReqBody '[JSON] ClientInfo :> Post '[JSON] Email
45exampleAPI :: Proxy ExampleAPI
49While **servant** can see e.g. that there are 3 endpoints and that the response bodies will be in JSON, it doesn't know what influence the captures, parameters, request bodies and other combinators have on the webservice. This is where some manual work is required.
51For every capture, request body, response body, query param, we have to give some explanations about how it influences the response, what values are possible and the likes. Here's how it looks like for the parameters we have above.
54instance ToCapture (Capture "x" Int) where
56 DocCapture "x" -- name
57 "(integer) position on the x axis" -- description
59instance ToCapture (Capture "y" Int) where
61 DocCapture "y" -- name
62 "(integer) position on the y axis" -- description
64instance ToSample Position where
65 toSamples _ = singleSample (Position 3 14) -- example of output
67instance ToParam (QueryParam "name" String) where
69 DocQueryParam "name" -- name
70 ["Alp", "John Doe", "..."] -- example of values (not necessarily exhaustive)
71 "Name of the person to say hello to." -- description
72 Normal -- Normal, List or Flag
74instance ToSample HelloMessage where
76 [ ("When a value is provided for 'name'", HelloMessage "Hello, Alp")
77 , ("When 'name' is not specified", HelloMessage "Hello, anonymous coward")
79 -- mutliple examples to display this time
82ci = ClientInfo "Alp" "alp@foo.com" 26 ["haskell", "mathematics"]
84instance ToSample ClientInfo where
85 toSamples _ = singleSample ci
87instance ToSample Email where
88 toSamples _ = singleSample (emailForClient ci)
91Types that are used as request or response bodies have to instantiate the `ToSample` typeclass which lets you specify one or more examples of values. `Capture`s and `QueryParam`s have to instantiate their respective `ToCapture` and `ToParam` classes and provide a name and some information about the concrete meaning of that argument, as illustrated in the code above.
93With all of this, we can derive docs for our API.
97apiDocs = docs exampleAPI
100`API` is a type provided by **servant-docs** that stores all the information one needs about a web API in order to generate documentation in some format. Out of the box, **servant-docs** only provides a pretty documentation printer that outputs [Markdown](http://en.wikipedia.org/wiki/Markdown), but the [**servant-pandoc**](http://hackage.haskell.org/package/servant-pandoc) package can be used to target many useful formats.
102**servant**'s markdown pretty printer is a function named `markdown`.
105markdown :: API -> String
108That lets us see what our API docs look down in markdown, by looking at `markdown apiDocs`.
113This is our super webservice's API.
122 - **Values**: *Alp, John Doe, ...*
123 - **Description**: Name of the person to say hello to.
131- Supported content types are:
135- When a value is provided for 'name'
141- When 'name' is not specified
144 {"msg":"Hello, anonymous coward"}
151- Supported content types are:
155- Example: `application/json`
158 {"email":"alp@foo.com","interested_in":["haskell","mathematics"],"age":26,"name":"Alp"}
166- Supported content types are:
170- Response body as below.
173 {"subject":"Hey Alp, we miss you!","body":"Hi Alp,\n\nSince you've recently turned 26, have you checked out our latest haskell, mathematics products? Give us a visit!","to":"alp@foo.com","from":"great@company.com"}
176## GET /position/:x/:y
180- *x*: (integer) position on the x axis
181- *y*: (integer) position on the y axis
188- Supported content types are:
192- Response body as below.
200However, we can also add one or more introduction sections to the document. We just need to tweak the way we generate `apiDocs`. We will also convert the content to a lazy `ByteString` since this is what **wai** expects for `Raw` endpoints.
207 $ docsWithIntros [intro] exampleAPI
209 where intro = DocIntro "Welcome" ["This is our super webservice's API.", "Enjoy!"]
212`docsWithIntros` just takes an additional parameter, a list of `DocIntro`s that must be displayed before any endpoint docs.
214We can now serve the API *and* the API docs with a simple server.
217type DocsAPI = ExampleAPI :<|> Raw
222server :: Server DocsAPI
223server = Server.server3 :<|> serveDocs
225 where serveDocs _ respond =
226 respond $ responseLBS ok200 [plain] docsBS
228 plain = ("Content-Type", "text/plain")
231app = serve api server
234And if you spin up this server and request anything else than `/position`, `/hello` and `/marketing`, you will see the API docs in markdown. This is because `serveDocs` is attempted if the 3 other endpoints don't match and systematically succeeds since its definition is to just return some fixed bytestring with the `text/plain` content type.
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