def send_logo_notification(logo: LogoAnnotation, probs: Dict[LogoLabelType,
float]):
crop_url = logo.get_crop_image_url()
prob_text = "\n".join(
(f"{label[0]} - {label[1]}: {prob:.2g}" for label, prob in sorted(
probs.items(), key=operator.itemgetter(1), reverse=True)))
barcode = logo.image_prediction.image.barcode
text = (
f"Prediction for <{crop_url}|image> "
f"(<https://hunger.openfoodfacts.org/logos?logo_id={logo.id}|annotate logo>, "
f"<https://world.openfoodfacts.org/product/{barcode}|product>):\n{prob_text}"
)
post_message(text, settings.SLACK_OFF_ROBOTOFF_ALERT_CHANNEL)
def send_logo_notification(self, logo: LogoAnnotation,
probs: Dict[LogoLabelType, float]):
crop_url = logo.get_crop_image_url()
prob_text = "\n".join(
(f"{label[0]} - {label[1]}: {prob:.2g}" for label, prob in sorted(
probs.items(), key=operator.itemgetter(1), reverse=True)))
barcode = logo.image_prediction.image.barcode
base_off_url = settings.BaseURLProvider().get()
text = (
f"Prediction for <{crop_url}|image> "
f"(<https://hunger.openfoodfacts.org/logos?logo_id={logo.id}|annotate logo>, "
f"<{base_off_url}/product/{barcode}|product>):\n{prob_text}")
self._post_message(_slack_message_block(text),
self.ROBOTOFF_ALERT_CHANNEL)
def test_crop_image_url(monkeypatch):
monkeypatch.delenv("ROBOTOFF_SCHEME", raising=False) # force defaults to apply
logo_annotation = LogoAnnotation(
image_prediction=ImagePrediction(
type="label",
model_name="test-model",
model_version="1.0",
image=ImageModel(
barcode="123",
image_id="image_id",
source_image="/image",
width=20,
height=20,
),
),
bounding_box=(1, 1, 2, 2),
)
assert logo_annotation.get_crop_image_url() == (
f"https://robotoff.{settings._robotoff_domain}/api/v1/images/crop"
+ f"?image_url={settings.OFF_IMAGE_BASE_URL}/image&y_min=1&x_min=1&y_max=2&x_max=2"
)