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import copy
import pytest
import uuid
from nucleus import Slice, NucleusClient, DatasetItem, BoxAnnotation
from nucleus.constants import (
ANNOTATIONS_KEY,
BOX_TYPE,
ERROR_PAYLOAD,
ITEM_KEY,
)
from .helpers import (
TEST_DATASET_NAME,
TEST_IMG_URLS,
TEST_SLICE_NAME,
TEST_BOX_ANNOTATIONS,
TEST_PROJECT_ID,
reference_id_from_url,
)
from nucleus.job import AsyncJob
@pytest.fixture()
def dataset(CLIENT):
ds = CLIENT.create_dataset(TEST_DATASET_NAME)
yield ds
response = CLIENT.delete_dataset(ds.id)
assert response == {"message": "Beginning dataset deletion..."}
def test_reprs():
# Have to define here in order to have access to all relevant objects
def test_repr(test_object: any):
assert eval(str(test_object)) == test_object
client = NucleusClient(api_key="fake_key")
test_repr(Slice(slice_id="fake_slice_id", client=client))
def test_slice_create_and_delete_and_list(dataset):
# Dataset upload
ds_items = []
for url in TEST_IMG_URLS:
ds_items.append(
DatasetItem(
image_location=url,
reference_id=reference_id_from_url(url),
)
)
response = dataset.append(ds_items)
assert ERROR_PAYLOAD not in response.json()
# Slice creation
slc = dataset.create_slice(
name=TEST_SLICE_NAME,
reference_ids=[item.reference_id for item in ds_items[:2]],
)
dataset_slices = dataset.slices
assert len(dataset_slices) == 1
assert slc.slice_id == dataset_slices[0]
response = slc.info()
assert response["name"] == TEST_SLICE_NAME
assert response["dataset_id"] == dataset.id
assert len(response["dataset_items"]) == 2
for item in ds_items[:2]:
assert (
item.reference_id == response["dataset_items"][0]["ref_id"]
or item.reference_id == response["dataset_items"][1]["ref_id"]
)
def test_slice_create_and_export(dataset):
# Dataset upload
url = TEST_IMG_URLS[0]
annotation_in_slice = BoxAnnotation(**TEST_BOX_ANNOTATIONS[0])
ds_items = [
DatasetItem(
image_location=url,
reference_id=reference_id_from_url(url),
metadata={"test": "metadata"},
),
DatasetItem(
image_location=url,
reference_id="different_item",
metadata={"test": "metadata"},
),
]
response = dataset.append(ds_items)
assert ERROR_PAYLOAD not in response.json()
# Slice creation
slc = dataset.create_slice(
name=TEST_SLICE_NAME,
reference_ids=[item.reference_id for item in ds_items[:1]],
)
dataset.annotate(annotations=[annotation_in_slice])
expected_box_annotation = copy.deepcopy(annotation_in_slice)
expected_box_annotation.annotation_id = None
expected_box_annotation.metadata = {}
exported = slc.items_and_annotations()
assert exported[0][ITEM_KEY] == ds_items[0]
assert exported[0][ANNOTATIONS_KEY][BOX_TYPE][0] == expected_box_annotation
def test_slice_append(dataset):
# Dataset upload
ds_items = []
for url in TEST_IMG_URLS:
ds_items.append(
DatasetItem(
image_location=url,
reference_id=reference_id_from_url(url),
)
)
response = dataset.append(ds_items)
assert ERROR_PAYLOAD not in response.json()
# Slice creation
slc = dataset.create_slice(
name=TEST_SLICE_NAME,
reference_ids=[ds_items[0].reference_id],
)
# Insert duplicate first item
slc.append(reference_ids=[item.reference_id for item in ds_items[:3]])
response = slc.info()
assert len(response["dataset_items"]) == 3
for item in ds_items[:3]:
assert (
item.reference_id == response["dataset_items"][0]["ref_id"]
or item.reference_id == response["dataset_items"][1]["ref_id"]
or item.reference_id == response["dataset_items"][2]["ref_id"]
)
all_stored_items = [_[ITEM_KEY] for _ in slc.items_and_annotations()]
def sort_by_reference_id(items):
# Remove the generated item_ids and standardize
# empty metadata so we can do an equality check.
for item in items:
item.item_id = None
if item.metadata == {}:
item.metadata = None
return sorted(items, key=lambda x: x.reference_id)
assert sort_by_reference_id(all_stored_items) == sort_by_reference_id(
ds_items[:3]
)
@pytest.mark.integration
def test_slice_send_to_labeling(dataset):
# Dataset upload
ds_items = []
for url in TEST_IMG_URLS:
ds_items.append(
DatasetItem(
image_location=url,
reference_id=reference_id_from_url(url),
)
)
response = dataset.append(ds_items)
assert ERROR_PAYLOAD not in response.json()
# Slice creation
slc = dataset.create_slice(
name=(TEST_SLICE_NAME + str(uuid.uuid4())[-10:]),
reference_ids=[ds_items[0].reference_id, ds_items[1].reference_id],
)
response = slc.info()
assert len(response["dataset_items"]) == 2
response = slc.send_to_labeling(TEST_PROJECT_ID)
assert isinstance(response, AsyncJob)