Testing¶
Thanks to Starlette, testing FastAPI applications is easy and enjoyable.
It is based on Requests, so it's very familiar and intuitive.
With it, you can use pytest directly with FastAPI.
Using TestClient
¶
Import TestClient
.
Create a TestClient
passing to it your FastAPI application.
Create functions with a name that starts with test_
(this is standard pytest
conventions).
Use the TestClient
object the same way as you do with requests
.
Write simple assert
statements with the standard Python expressions that you need to check (again, standard pytest
).
from fastapi import FastAPI
from fastapi.testclient import TestClient
app = FastAPI()
@app.get("/")
async def read_main():
return {"msg": "Hello World"}
client = TestClient(app)
def test_read_main():
response = client.get("/")
assert response.status_code == 200
assert response.json() == {"msg": "Hello World"}
Tip
Notice that the testing functions are normal def
, not async def
.
And the calls to the client are also normal calls, not using await
.
This allows you to use pytest
directly without complications.
Technical Details
You could also use from starlette.testclient import TestClient
.
FastAPI provides the same starlette.testclient
as fastapi.testclient
just as a convenience for you, the developer. But it comes directly from Starlette.
Tip
If you want to call async
functions in your tests apart from sending requests to your FastAPI application (e.g. asynchronous database functions), have a look at the Async Tests in the advanced tutorial.
Separating tests¶
In a real application, you probably would have your tests in a different file.
And your FastAPI application might also be composed of several files/modules, etc.
FastAPI app file¶
Let's say you have a file main.py
with your FastAPI app:
from fastapi import FastAPI
app = FastAPI()
@app.get("/")
async def read_main():
return {"msg": "Hello World"}
Testing file¶
Then you could have a file test_main.py
with your tests, and import your app
from the main
module (main.py
):
from fastapi.testclient import TestClient
from .main import app
client = TestClient(app)
def test_read_main():
response = client.get("/")
assert response.status_code == 200
assert response.json() == {"msg": "Hello World"}
Testing: extended example¶
Now let's extend this example and add more details to see how to test different parts.
Extended FastAPI app file¶
Let's say that now the file main.py
with your FastAPI app has some other path operations.
It has a GET
operation that could return an error.
It has a POST
operation that could return several errors.
Both path operations require an X-Token
header.
from typing import Optional
from fastapi import FastAPI, Header, HTTPException
from pydantic import BaseModel
fake_secret_token = "coneofsilence"
fake_db = {
"foo": {"id": "foo", "title": "Foo", "description": "There goes my hero"},
"bar": {"id": "bar", "title": "Bar", "description": "The bartenders"},
}
app = FastAPI()
class Item(BaseModel):
id: str
title: str
description: Optional[str] = None
@app.get("/items/{item_id}", response_model=Item)
async def read_main(item_id: str, x_token: str = Header(...)):
if x_token != fake_secret_token:
raise HTTPException(status_code=400, detail="Invalid X-Token header")
if item_id not in fake_db:
raise HTTPException(status_code=404, detail="Item not found")
return fake_db[item_id]
@app.post("/items/", response_model=Item)
async def create_item(item: Item, x_token: str = Header(...)):
if x_token != fake_secret_token:
raise HTTPException(status_code=400, detail="Invalid X-Token header")
if item.id in fake_db:
raise HTTPException(status_code=400, detail="Item already exists")
fake_db[item.id] = item
return item
from fastapi import FastAPI, Header, HTTPException
from pydantic import BaseModel
fake_secret_token = "coneofsilence"
fake_db = {
"foo": {"id": "foo", "title": "Foo", "description": "There goes my hero"},
"bar": {"id": "bar", "title": "Bar", "description": "The bartenders"},
}
app = FastAPI()
class Item(BaseModel):
id: str
title: str
description: str | None = None
@app.get("/items/{item_id}", response_model=Item)
async def read_main(item_id: str, x_token: str = Header(...)):
if x_token != fake_secret_token:
raise HTTPException(status_code=400, detail="Invalid X-Token header")
if item_id not in fake_db:
raise HTTPException(status_code=404, detail="Item not found")
return fake_db[item_id]
@app.post("/items/", response_model=Item)
async def create_item(item: Item, x_token: str = Header(...)):
if x_token != fake_secret_token:
raise HTTPException(status_code=400, detail="Invalid X-Token header")
if item.id in fake_db:
raise HTTPException(status_code=400, detail="Item already exists")
fake_db[item.id] = item
return item
Extended testing file¶
You could then update test_main.py
with the extended tests:
from fastapi.testclient import TestClient
from .main import app
client = TestClient(app)
def test_read_item():
response = client.get("/items/foo", headers={"X-Token": "coneofsilence"})
assert response.status_code == 200
assert response.json() == {
"id": "foo",
"title": "Foo",
"description": "There goes my hero",
}
def test_read_item_bad_token():
response = client.get("/items/foo", headers={"X-Token": "hailhydra"})
assert response.status_code == 400
assert response.json() == {"detail": "Invalid X-Token header"}
def test_read_inexistent_item():
response = client.get("/items/baz", headers={"X-Token": "coneofsilence"})
assert response.status_code == 404
assert response.json() == {"detail": "Item not found"}
def test_create_item():
response = client.post(
"/items/",
headers={"X-Token": "coneofsilence"},
json={"id": "foobar", "title": "Foo Bar", "description": "The Foo Barters"},
)
assert response.status_code == 200
assert response.json() == {
"id": "foobar",
"title": "Foo Bar",
"description": "The Foo Barters",
}
def test_create_item_bad_token():
response = client.post(
"/items/",
headers={"X-Token": "hailhydra"},
json={"id": "bazz", "title": "Bazz", "description": "Drop the bazz"},
)
assert response.status_code == 400
assert response.json() == {"detail": "Invalid X-Token header"}
def test_create_existing_item():
response = client.post(
"/items/",
headers={"X-Token": "coneofsilence"},
json={
"id": "foo",
"title": "The Foo ID Stealers",
"description": "There goes my stealer",
},
)
assert response.status_code == 400
assert response.json() == {"detail": "Item already exists"}
Whenever you need the client to pass information in the request and you don't know how to, you can search (Google) how to do it in requests
.
Then you just do the same in your tests.
E.g.:
- To pass a path or query parameter, add it to the URL itself.
- To pass a JSON body, pass a Python object (e.g. a
dict
) to the parameterjson
. - If you need to send Form Data instead of JSON, use the
data
parameter instead. - To pass headers, use a
dict
in theheaders
parameter. - For cookies, a
dict
in thecookies
parameter.
For more information about how to pass data to the backend (using requests
or the TestClient
) check the Requests documentation.
Info
Note that the TestClient
receives data that can be converted to JSON, not Pydantic models.
If you have a Pydantic model in your test and you want to send its data to the application during testing, you can use the jsonable_encoder
described in JSON Compatible Encoder.
Run it¶
After that, you just need to install pytest
:
$ pip install pytest
---> 100%
It will detect the files and tests automatically, execute them, and report the results back to you.
Run the tests with:
$ pytest
================ test session starts ================
platform linux -- Python 3.6.9, pytest-5.3.5, py-1.8.1, pluggy-0.13.1
rootdir: /home/user/code/superawesome-cli/app
plugins: forked-1.1.3, xdist-1.31.0, cov-2.8.1
collected 6 items
---> 100%
test_main.py <span style="color: green; white-space: pre;">...... [100%]</span>
<span style="color: green;">================= 1 passed in 0.03s =================</span>