You might need to capture print statements in your tests while debugging. This might be just to help you debug, or for some other reason. I mostly do this kind of thing when testing for database connections where, in addition to other tests, I want to make sure I see that "Database connection successful" message.
Let's demonstrate with a simple example:
def add_numbers(num1, num2):
print("Add function started...")
result = num1 + num2
print("Numbers added. Returning result...")
return result
def test_add_numbers():
assert add_numbers(2, 3) == 3
Running the test above fails with the given traceback:
collected 1 item
print.py F [100%]
============================ FAILURES ============================
def test_add_numbers():
> assert add_numbers(2, 3) == 3
E assert 5 == 3
E + where 5 = add_numbers(2, 3)
print.py:9: AssertionError
---------------------- Captured stdout call ----------------------------
Add function started...
Numbers added. Returning result...
===================== 1 failed in 0.11 seconds ====================
Notice the Captured stdout call section. It captured out two print statements. During test execution, any output sent to stdout and stderr is captured. By default, the captured output is only displayed if the test fails. Changing our assert add_numbers(2, 3) == 3 to assert add_numbers(2, 3) == 5 and running the test again gives the following output:
collected 1 item
print.py . [100%]
========================= 1 passed in 0.05 seconds ===========================
You can access your captured output in your tests by using readouterr():
def add_numbers(num1, num2):
print("Add function started...")
result = num1 + num2
print("Numbers added. Returning result...")
return result
def test_add_numbers(capsys):
result = add_numbers(2, 3)
captured = capsys.readouterr()
assert "Hello" in captured.out
assert result == 3
collected 1 item
print.py F [100%]
====================== FAILURES =======================
capsys = <_pytest.capture.CaptureFixture object at 0x10ba25d30>
def test_add_numbers(capsys):
result = add_numbers(2, 3)
captured = capsys.readouterr()
> assert "Hello" in captured.out
E AssertionError: assert 'Hello' in 'Add function started...\nNumbers added. Returning result...\n'
E + where 'Add function started...\nNumbers added. Returning result...\n' = CaptureResult(out='Add function started...\nNumbers added. Returning result...\n', err='').out
print.py:11: AssertionError
======================== 1 failed in 0.09 seconds =======================
It's important to note that each readouterr() call snapshots the output so far, so we can call it repeatedly, checking the output of our test step by step.
def add_numbers(num1, num2):
print("Add function started...")
result = num1 + num2
print("Numbers added. Returning result...")
return result
def test_add_numbers(capsys):
result = add_numbers(2, 3)
captured = capsys.readouterr()
assert "Add function started" in captured.out
assert "Numbers added. Returning result" in captured.out
# thus far, readouterr() out only has the two print statements from the add_numbers function
assert result == 5
print("thank you, next")
captured = capsys.readouterr()
# here, readouterr() out doesn't have the two outputs from above
# it now contains the new value, "thank you, next"
assert captured.out == "thank you, next\n"
collected 1 item
print.py . [100%]
========================= 1 passed in 0.05 seconds ===========================
Top comments (2)
Is the
capsysvariable name a keyword for pytest, or can the name be arbitrary?Also, can this technique also be used within a parametrized test? Where would the
capsysparameter be placed in the test function's parameter list?Hey, @wangonya
Great tutorial series :D. Thanks for writing such a useful content.
I just would like to make a little suggestion regarding the assertion of the captured
printoutput.You're using
The
instatement verifies whethercaptured.outcontains<SOME_STRING>, which means that if<SOME_STRING>isaaand thecaptured.outwasaaaaaathe test would pass.I would suggest to change that assertion to
What do you say?