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Make sure cleanup happens even if tests fail

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This commit is contained in:
filipstrand 2024-10-09 23:38:56 +02:00
parent a9461cacf0
commit 78e2b726fb
2 changed files with 62 additions and 58 deletions
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64
tests/helpers/image_generation_controlnet_test_helper.py
View File

@ -27,37 +27,39 @@ class ImageGeneratorControlnetTestHelper:
controlnet_image_path = str(ImageGeneratorTestHelper.resolve_path(controlnet_image_path))
lora_paths = [str(ImageGeneratorTestHelper.resolve_path(p)) for p in lora_paths] if lora_paths else None
# given
flux = Flux1Controlnet(
model_config=model_config,
quantize=8,
lora_paths=lora_paths,
lora_scales=lora_scales,
)
try:
# given
flux = Flux1Controlnet(
model_config=model_config,
quantize=8,
lora_paths=lora_paths,
lora_scales=lora_scales,
)
# when
image = flux.generate_image(
seed=seed,
prompt=prompt,
output=str(output_image_path),
controlnet_image_path=controlnet_image_path,
controlnet_save_canny=False,
config=ConfigControlnet(
num_inference_steps=steps,
height=768,
width=493,
controlnet_strength=controlnet_strength,
),
)
image.save(path=output_image_path)
# when
image = flux.generate_image(
seed=seed,
prompt=prompt,
output=str(output_image_path),
controlnet_image_path=controlnet_image_path,
controlnet_save_canny=False,
config=ConfigControlnet(
num_inference_steps=steps,
height=768,
width=493,
controlnet_strength=controlnet_strength,
),
)
image.save(path=output_image_path)
# then
np.testing.assert_array_equal(
np.array(Image.open(output_image_path)),
np.array(Image.open(reference_image_path)),
err_msg="Generated image doesn't match reference image",
)
# then
np.testing.assert_array_equal(
np.array(Image.open(output_image_path)),
np.array(Image.open(reference_image_path)),
err_msg="Generated image doesn't match reference image",
)
# cleanup
if os.path.exists(output_image_path):
os.remove(output_image_path)
finally:
# cleanup
if os.path.exists(output_image_path):
os.remove(output_image_path)

56
tests/helpers/image_generation_test_helper.py
View File

@ -24,36 +24,38 @@ class ImageGeneratorTestHelper:
output_image_path = ImageGeneratorTestHelper.resolve_path(output_image_path)
lora_paths = [str(ImageGeneratorTestHelper.resolve_path(p)) for p in lora_paths] if lora_paths else None
# given
flux = Flux1(
model_config=model_config,
quantize=8,
lora_paths=lora_paths,
lora_scales=lora_scales
) # fmt: off
try:
# given
flux = Flux1(
model_config=model_config,
quantize=8,
lora_paths=lora_paths,
lora_scales=lora_scales
) # fmt: off
# when
image = flux.generate_image(
seed=seed,
prompt=prompt,
config=Config(
num_inference_steps=steps,
height=341,
width=768,
),
)
image.save(path=output_image_path)
# when
image = flux.generate_image(
seed=seed,
prompt=prompt,
config=Config(
num_inference_steps=steps,
height=341,
width=768,
),
)
image.save(path=output_image_path)
# then
np.testing.assert_array_equal(
np.array(Image.open(output_image_path)),
np.array(Image.open(reference_image_path)),
err_msg="Generated image doesn't match reference image",
)
# then
np.testing.assert_array_equal(
np.array(Image.open(output_image_path)),
np.array(Image.open(reference_image_path)),
err_msg="Generated image doesn't match reference image",
)
# cleanup
if os.path.exists(output_image_path):
os.remove(output_image_path)
finally:
# cleanup
if os.path.exists(output_image_path):
os.remove(output_image_path)
@staticmethod
def resolve_path(path) -> Path: