import labelbox as lb
import labelbox.data.annotation_types as lb_types
from labelbox import MALPredictionImport
import uuid

bbox_annotation_1 = lb_types.ObjectAnnotation(
    name="something",
    value=lb_types.Rectangle(
        start=lb_types.Point(x=1000, y=2000),
        end=lb_types.Point(x=1000, y=30)
    )
)

annotations = [
    bbox_annotation_1,
]

#use the labels container (we can use global or external key instead of data row id)
labels = [
    lb_types.Label(
        data={
          "external_id": "name.jpg"
        },
        annotations=annotations,
    )
]

# Upload labels for one image
upload_job = MALPredictionImport.create_from_objects(
  client = client,
  project_id = project_id,
  name = "mal_job"+str(uuid.uuid4()),
  predictions = labels)

upload_job.wait_till_done()

#error check
print(f"Errors: {upload_job.errors}", )
print(f"Status of uploads: {upload_job.statuses}")

ValidationError: 1 validation error for DataRow
  Value error, Must set either id or global_key [type=value_error, input_value={'id': None, 'global_key': None}, input_type=dict]
    For further information visit https://errors.pydantic.dev/2.10/v/value_error
File <command-510266779839629>, line 2
      1 # Upload labels for one image
----> 2 upload_job = MALPredictionImport.create_from_objects(
      3   client = client,
      4   project_id = project_id,
      5   name = "mal_job"+str(uuid.uuid4()),
      6   predictions = labels)
      8 upload_job.wait_till_done()
     10 #error check
File /local_disk0/.ephemeral_nfs/cluster_libraries/python/lib/python3.11/site-packages/pydantic/main.py:214, in BaseModel.__init__(self, **data)
    212 # `__tracebackhide__` tells pytest and some other tools to omit this function from tracebacks
    213 __tracebackhide__ = True
--> 214 validated_self = self.__pydantic_validator__.validate_python(data, self_instance=self)
    215 if self is not validated_self:
    216     warnings.warn(
    217         'A custom validator is returning a value other than `self`.\n'
    218         "Returning anything other than `self` from a top level model validator isn't supported when validating via `__init__`.\n"
    219         'See the `model_validator` docs ([https://docs.pydantic.dev/latest/concepts/validators/#model-validators](https://adb-377525844578231.11.azuredatabricks.net/editor/notebooks/%3Ca%20class=)" target="_blank" rel="noopener noreferrer">[https://docs.pydantic.dev/latest/concepts/validators/#model-validators</a>](https://docs.pydantic.dev/latest/concepts/validators/#model-validators%3C/a%3E)) for more details.',
    220         stacklevel=2,
    221     )