Aiohttp tutorial¶
This tutorial shows how to build anaiohttp REST API application following the dependencyinjection principle.
Start from the scratch or jump to the section:
You can find complete project on theGithub.
What are we going to build?¶

We will build a REST API application that searches for funny GIFs on theGiphy.Let’s call it Giphy Navigator.
How does Giphy Navigator work?
Client sends a request specifying the search query and the number of results.
Giphy Navigator returns a response in json format.
- The response contains:
the search query
the limit number
the list of gif urls
Example response:
{"query":"Dependency Injector","limit":10,"gifs":[{"url":"https://giphy.com/gifs/boxes-dependent-swbf2-6Eo7KzABxgJMY"},{"url":"https://giphy.com/gifs/depends-J56qCcOhk6hKE"},{"url":"https://giphy.com/gifs/web-series-ccstudios-bro-dependent-1lhU8KAVwmVVu"},{"url":"https://giphy.com/gifs/TheBoysTV-friends-friend-weneedeachother-XxR9qcIwcf5Jq404Sx"},{"url":"https://giphy.com/gifs/netflix-a-series-of-unfortunate-events-asoue-9rgeQXbwoK53pcxn7f"},{"url":"https://giphy.com/gifs/black-and-white-sad-skins-Hs4YzLs2zJuLu"},{"url":"https://giphy.com/gifs/always-there-for-you-i-am-here-PlayjhCco9jHBYrd9w"},{"url":"https://giphy.com/gifs/stream-famous-dollar-YT2dvOByEwXCdoYiA1"},{"url":"https://giphy.com/gifs/i-love-you-there-for-am-1BhGzgpZXYWwWMAGB1"},{"url":"https://giphy.com/gifs/life-like-twerk-9hlnWxjHqmH28"}]}
The task is naive and that’s exactly what we need for the tutorial.
Prepare the environment¶
Let’s create the environment for the project.
First we need to create a project folder:
mkdirgiphynav-aiohttp-tutorialcdgiphynav-aiohttp-tutorialNow let’s create and activate virtual environment:
python3-mvenvvenv.venv/bin/activate
Environment is ready and now we’re going to create the layout of the project.
Project layout¶
Create next structure in the current directory. All files should be empty. That’s ok for now.
Initial project layout:
./├── giphynavigator/│ ├── __init__.py│ ├── application.py│ ├── containers.py│ └── handlers.py├── venv/└── requirements.txt
Install the requirements¶
Now it’s time to install the project requirements. We will use next packages:
dependency-injector- the dependency injection frameworkaiohttp- the web frameworkpyyaml- the YAML files parsing library, used for the reading of the configuration filespytest-aiohttp- the helper library for the testing of theaiohttpapplicationpytest-cov- the helper library for measuring the test coverage
Put next lines into therequirements.txt file:
dependency-injectoraiohttppyyamlpytest-aiohttppytest-cov
and run next in the terminal:
pipinstall-rrequirements.txt
Let’s also install thehttpie. It is a user-friendly command-line HTTP client for the API era.We will use it for the manual testing.
Run the command in the terminal:
pipinstallhttpie
The requirements are setup. Now we will build a minimal application.
Minimal application¶
In this section we will build a minimal application. It will have an endpoint thatwill answer our requests in json format. There will be no payload for now.
Edithandlers.py:
"""Handlers module."""fromaiohttpimportwebasyncdefindex(request:web.Request)->web.Response:query=request.query.get("query","Dependency Injector")limit=int(request.query.get("limit",10))gifs=[]returnweb.json_response({"query":query,"limit":limit,"gifs":gifs,},)
Now let’s create a container. Container will keep all of the application components and their dependencies.
Editcontainers.py:
"""Containers module."""fromdependency_injectorimportcontainersclassContainer(containers.DeclarativeContainer):...
Container is empty for now. We will add the providers in the following sections.
Finally we need to createaiohttp application factory. It will create and configure containerandweb.Application. It is traditionally calledcreate_app().We will assignindex handler to handle user requests to the root/ of our web application.
Put next into theapplication.py:
"""Application module."""fromaiohttpimportwebfrom.containersimportContainerfrom.importhandlersdefcreate_app()->web.Application:container=Container()app=web.Application()app.container=containerapp.add_routes([web.get("/",handlers.index),])returnappif__name__=="__main__":app=create_app()web.run_app(app)
Now we’re ready to run our application
Do next in the terminal:
python-mgiphynavigator.application
The output should be something like:
========Runningonhttp://0.0.0.0:8080========(PressCTRL+Ctoquit)
Let’s check that it works. Open another terminal session and usehttpie:
httphttp://0.0.0.0:8080/
You should see:
HTTP/1.1200OKContent-Length:844Content-Type:application/json; charset=utf-8Date:Wed, 29 Jul 2020 21:01:50 GMTServer:Python/3.10 aiohttp/3.6.2{"gifs":[],"limit":10,"query":"Dependency Injector"}
Minimal application is ready. Let’s connect our application with the Giphy API.
Giphy API client¶
In this section we will integrate our application with the Giphy API.
We will create our own API client usingaiohttp client.
Creategiphy.py module in thegiphynavigator package:
./├──giphynavigator/│├──__init__.py│├──application.py│├──containers.py│├──giphy.py│└──handlers.py├──venv/└──requirements.txtand put next into it:
"""Giphy client module."""fromaiohttpimportClientSession,ClientTimeoutclassGiphyClient:API_URL="https://api.giphy.com/v1"def__init__(self,api_key,timeout):self._api_key=api_keyself._timeout=ClientTimeout(timeout)asyncdefsearch(self,query,limit):"""Make search API call and return result."""url=f"{self.API_URL}/gifs/search"params={"q":query,"api_key":self._api_key,"limit":limit,}asyncwithClientSession(timeout=self._timeout)assession:asyncwithsession.get(url,params=params)asresponse:ifresponse.status!=200:response.raise_for_status()returnawaitresponse.json()
Now we need to addGiphyClient into the container. TheGiphyClient has two dependenciesthat have to be injected: the API key and the request timeout. We will need to use two moreproviders from thedependency_injector.providers module:
Factoryprovider. It will create aGiphyClientclient.Configurationprovider. It will provide an API key and a request timeout for theGiphyClientclient. We will specify the location of the configuration file. The configuration provider will parsethe configuration file when we create a container instance.
Editcontainers.py:
"""Containers module."""fromdependency_injectorimportcontainers,providersfrom.importgiphyclassContainer(containers.DeclarativeContainer):config=providers.Configuration(yaml_files=["config.yml"])giphy_client=providers.Factory(giphy.GiphyClient,api_key=config.giphy.api_key,timeout=config.giphy.request_timeout,)
Now let’s add the configuration file. We will use YAML. Create an empty fileconfig.yml inthe root root of the project:
./├──giphynavigator/│├──__init__.py│├──application.py│├──containers.py│├──giphy.py│└──handlers.py├──venv/├──config.yml└──requirements.txtand put next into it:
giphy:request_timeout:10
We will use theGIPHY_API_KEY environment variable to provide the API key. Let’s editcreate_app() to fetch the key value from it.
Editapplication.py:
"""Application module."""fromaiohttpimportwebfrom.containersimportContainerfrom.importhandlersdefcreate_app()->web.Application:container=Container()container.config.giphy.api_key.from_env("GIPHY_API_KEY")app=web.Application()app.container=containerapp.add_routes([web.get("/",handlers.index),])returnappif__name__=="__main__":app=create_app()web.run_app(app)
Now we need to create an API key and set it to the environment variable.
As for now, don’t worry, just take this one:
exportGIPHY_API_KEY=wBJ2wZG7SRqfrU9nPgPiWvORmloDyuL0
Note
To create your own Giphy API key follow thisguide.
The Giphy API client and the configuration setup is done. Let’s proceed to the search service.
Search service¶
Now it’s time to add theSearchService. It will:
Perform the search.
Format result data.
SearchService will useGiphyClient.
Createservices.py module in thegiphynavigator package:
./├──giphynavigator/│├──__init__.py│├──application.py│├──containers.py│├──giphy.py│├──handlers.py│└──services.py├──venv/├──config.yml└──requirements.txtand put next into it:
"""Services module."""from.giphyimportGiphyClientclassSearchService:def__init__(self,giphy_client:GiphyClient):self._giphy_client=giphy_clientasyncdefsearch(self,query,limit):"""Search for gifs and return formatted data."""ifnotquery:return[]result=awaitself._giphy_client.search(query,limit)return[{"url":gif["url"]}forgifinresult["data"]]
TheSearchService has a dependency on theGiphyClient. This dependency will beinjected when we addSearchService to the container.
Editcontainers.py:
"""Containers module."""fromdependency_injectorimportcontainers,providersfrom.importgiphy,servicesclassContainer(containers.DeclarativeContainer):config=providers.Configuration(yaml_files=["config.yml"])giphy_client=providers.Factory(giphy.GiphyClient,api_key=config.giphy.api_key,timeout=config.giphy.request_timeout,)search_service=providers.Factory(services.SearchService,giphy_client=giphy_client,)
The search service is ready. In next section we’re going to put it to work.
Make the search work¶
Now we are ready to put the search into work. Let’s injectSearchService intotheindex handler. We will useWiring feature.
Edithandlers.py:
"""Handlers module."""fromaiohttpimportwebfromdependency_injector.wiringimportProvide,injectfrom.servicesimportSearchServicefrom.containersimportContainer@injectasyncdefindex(request:web.Request,search_service:SearchService=Provide[Container.search_service],)->web.Response:query=request.query.get("query","Dependency Injector")limit=int(request.query.get("limit",10))gifs=awaitsearch_service.search(query,limit)returnweb.json_response({"query":query,"limit":limit,"gifs":gifs,},)
To make the injection work we need to wire the container with thehandlers module.Let’s configure the container to automatically make wiring with thehandlers module when wecreate a container instance.
Editcontainers.py:
"""Containers module."""fromdependency_injectorimportcontainers,providersfrom.importgiphy,servicesclassContainer(containers.DeclarativeContainer):wiring_config=containers.WiringConfiguration(modules=[".handlers"])config=providers.Configuration(yaml_files=["config.yml"])giphy_client=providers.Factory(giphy.GiphyClient,api_key=config.giphy.api_key,timeout=config.giphy.request_timeout,)search_service=providers.Factory(services.SearchService,giphy_client=giphy_client,)
Make sure the app is running:
python-mgiphynavigator.application
and make a request to the API in the terminal:
httphttp://0.0.0.0:8080/query=="wow,it works"limit==5
You should see:
HTTP/1.1200OKContent-Length:492Content-Type:application/json; charset=utf-8Date:Fri, 09 Oct 2020 01:35:48 GMTServer:Python/3.10 aiohttp/3.6.2{"gifs":[{"url":"https://giphy.com/gifs/dollyparton-3xIVVMnZfG3KQ9v4Ye"},{"url":"https://giphy.com/gifs/tennistv-unbelievable-disbelief-cant-believe-UWWJnhHHbpGvZOapEh"},{"url":"https://giphy.com/gifs/discoverychannel-nugget-gold-rush-rick-ness-KGGPIlnC4hr4u2s3pY"},{"url":"https://giphy.com/gifs/soulpancake-wow-work-xUe4HVXTPi0wQ2OAJC"},{"url":"https://giphy.com/gifs/readingrainbow-teamwork-levar-burton-reading-rainbow-3o7qE1EaTWLQGDSabK"}],"limit":5,"query":"wow,it works"}

The search works!
Make some refactoring¶
Ourindex handler has two hardcoded config values:
Default search query
Default results limit
Let’s make some refactoring. We will move these values to the config.
Edithandlers.py:
"""Handlers module."""fromaiohttpimportwebfromdependency_injector.wiringimportProvide,injectfrom.servicesimportSearchServicefrom.containersimportContainer@injectasyncdefindex(request:web.Request,search_service:SearchService=Provide[Container.search_service],default_query:str=Provide[Container.config.default.query],default_limit:int=Provide[Container.config.default.limit.as_int()],)->web.Response:query=request.query.get("query",default_query)limit=int(request.query.get("limit",default_limit))gifs=awaitsearch_service.search(query,limit)returnweb.json_response({"query":query,"limit":limit,"gifs":gifs,},)
Let’s update the config.
Editconfig.yml:
giphy:request_timeout:10default:query:"DependencyInjector"limit:10
The refactoring is done. We’ve made it cleaner - hardcoded values are now moved to the config.
Tests¶
In this section we will add some tests.
Createtests.py module in thegiphynavigator package:
./├──giphynavigator/│├──__init__.py│├──application.py│├──containers.py│├──giphy.py│├──handlers.py│├──services.py│└──tests.py├──venv/├──config.yml└──requirements.txtand put next into it:
"""Tests module."""fromunittestimportmockimportpytestfromgiphynavigator.applicationimportcreate_appfromgiphynavigator.giphyimportGiphyClient@pytest.fixturedefapp():app=create_app()yieldappapp.container.unwire()@pytest.fixturedefclient(app,aiohttp_client,loop):returnloop.run_until_complete(aiohttp_client(app))asyncdeftest_index(client,app):giphy_client_mock=mock.AsyncMock(spec=GiphyClient)giphy_client_mock.search.return_value={"data":[{"url":"https://giphy.com/gif1.gif"},{"url":"https://giphy.com/gif2.gif"},],}withapp.container.giphy_client.override(giphy_client_mock):response=awaitclient.get("/",params={"query":"test","limit":10,},)assertresponse.status==200data=awaitresponse.json()assertdata=={"query":"test","limit":10,"gifs":[{"url":"https://giphy.com/gif1.gif"},{"url":"https://giphy.com/gif2.gif"},],}asyncdeftest_index_no_data(client,app):giphy_client_mock=mock.AsyncMock(spec=GiphyClient)giphy_client_mock.search.return_value={"data":[],}withapp.container.giphy_client.override(giphy_client_mock):response=awaitclient.get("/")assertresponse.status==200data=awaitresponse.json()assertdata["gifs"]==[]asyncdeftest_index_default_params(client,app):giphy_client_mock=mock.AsyncMock(spec=GiphyClient)giphy_client_mock.search.return_value={"data":[],}withapp.container.giphy_client.override(giphy_client_mock):response=awaitclient.get("/")assertresponse.status==200data=awaitresponse.json()assertdata["query"]==app.container.config.default.query()assertdata["limit"]==app.container.config.default.limit()
Now let’s run it and check the coverage:
py.testgiphynavigator/tests.py--cov=giphynavigatorYou should see:
platformdarwin--Python3.10.0,pytest-6.2.5,py-1.10.0,pluggy-1.0.0plugins:asyncio-0.16.0,anyio-3.3.4,aiohttp-0.3.0,cov-3.0.0collected3itemsgiphynavigator/tests.py...[100%]----------coverage:platformdarwin,python3.10.0-final-0----------NameStmtsMissCover---------------------------------------------------giphynavigator/__init__.py00100%giphynavigator/application.py13285%giphynavigator/containers.py70100%giphynavigator/giphy.py14936%giphynavigator/handlers.py100100%giphynavigator/services.py9189%giphynavigator/tests.py370100%---------------------------------------------------TOTAL901287%
Note
Take a look at the highlights in thetests.py.
It emphasizes the overriding of theGiphyClient. The real API call are mocked.
Conclusion¶
In this tutorial we’ve built anaiohttp REST API application following the dependencyinjection principle.We’ve used theDependencyInjector as a dependency injection framework.
Containers andProviders helped to specify how to assemble search service andgiphy client.
Configuration provider helped to deal with reading YAML file and environment variable.
We usedWiring feature to inject the dependencies into theindex() handler.Provider overriding feature helped in testing.
We kept all the dependencies injected explicitly. This will help when you need to add orchange something in future.
You can find complete project on theGithub.
What’s next?
Sponsor the project on GitHub: |