Release 3.54.0 (#1258)

.yapfignore

@@ -1 +1,3 @@
-pytest.ini
+Makefile
+*.txt
+*.ini

CHANGELOG.md

@@ -1,4 +1,10 @@
 # Changelog
+# Version 3.54.0 (2023-10-10)
+## Added
+* Add exports v1 deprecation warning
+* Create method in SDK to modify LPO priorities in bulk
+## Removed
+*  Remove backoff library
 # Version 3.53.0 (2023-10-03)
 ## Added
 * Remove LPO deprecation warning and allow greater range of priority values

docs/source/conf.py

@@ -21,7 +21,7 @@
 copyright = '2021, Labelbox'
 author = 'Labelbox'
 
-release = '3.53.0'
+release = '3.54.0'
 
 # -- General configuration ---------------------------------------------------
 

labelbox/__init__.py

@@ -1,5 +1,5 @@
 name = "labelbox"
-__version__ = "3.53.0"
+__version__ = "3.54.0"
 
 from labelbox.client import Client
 from labelbox.schema.project import Project

labelbox/schema/annotation_import.py

@@ -5,7 +5,7 @@
 import time
 from typing import Any, BinaryIO, Dict, List, Union, TYPE_CHECKING, cast
 
-import backoff
+from google.api_core import retry
 from labelbox import parser
 import requests
 from tqdm import tqdm  # type: ignore
@@ -109,12 +109,9 @@ def wait_until_done(self,
             pbar.update(100 - pbar.n)
             pbar.close()
 
-    @backoff.on_exception(
-        backoff.expo,
-        (labelbox.exceptions.ApiLimitError, labelbox.exceptions.TimeoutError,
-         labelbox.exceptions.NetworkError),
-        max_tries=10,
-        jitter=None)
+    @retry.Retry(predicate=retry.if_exception_type(
+        labelbox.exceptions.ApiLimitError, labelbox.exceptions.TimeoutError,
+        labelbox.exceptions.NetworkError))
     def __backoff_refresh(self) -> None:
         self.refresh()
 

labelbox/schema/batch.py

@@ -9,6 +9,7 @@
 import requests
 import logging
 import time
+import warnings
 
 if TYPE_CHECKING:
     from labelbox import Project
@@ -103,6 +104,10 @@ def export_data_rows(self,
         Raises:
             LabelboxError: if the export fails or is unable to download within the specified time.
         """
+        warnings.warn(
+            "You are currently utilizing exports v1 for this action, which will be deprecated after December 31st, 2023. We recommend transitioning to exports v2. To view export v2 details, visit our docs: https://docs.labelbox.com/reference/label-export",
+            DeprecationWarning)
+
         id_param = "batchId"
         metadata_param = "includeMetadataInput"
         query_str = """mutation GetBatchDataRowsExportUrlPyApi($%s: ID!, $%s: Boolean!)

labelbox/schema/bulk_import_request.py

@@ -6,7 +6,7 @@
 import logging
 from pathlib import Path
 import pydantic
-import backoff
+from google.api_core import retry
 from labelbox import parser
 import requests
 from pydantic import BaseModel, root_validator, validator
@@ -197,11 +197,9 @@ def wait_until_done(self, sleep_time_seconds: int = 5) -> None:
             time.sleep(sleep_time_seconds)
             self.__exponential_backoff_refresh()
 
-    @backoff.on_exception(
-        backoff.expo, (lb_exceptions.ApiLimitError, lb_exceptions.TimeoutError,
-                       lb_exceptions.NetworkError),
-        max_tries=10,
-        jitter=None)
+    @retry.Retry(predicate=retry.if_exception_type(lb_exceptions.ApiLimitError,
+                                                   lb_exceptions.TimeoutError,
+                                                   lb_exceptions.NetworkError))
     def __exponential_backoff_refresh(self) -> None:
         self.refresh()
 

labelbox/schema/dataset.py

@@ -5,6 +5,7 @@
 from collections.abc import Iterable
 from string import Template
 import time
+import warnings
 
 from labelbox import parser
 from itertools import islice
@@ -565,6 +566,9 @@ def export_data_rows(self,
         Raises:
             LabelboxError: if the export fails or is unable to download within the specified time.
         """
+        warnings.warn(
+            "You are currently utilizing exports v1 for this action, which will be deprecated after December 31st, 2023. We recommend transitioning to exports v2. To view export v2 details, visit our docs: https://docs.labelbox.com/reference/label-export",
+            DeprecationWarning)
         id_param = "datasetId"
         metadata_param = "includeMetadataInput"
         query_str = """mutation GetDatasetDataRowsExportUrlPyApi($%s: ID!, $%s: Boolean!)

labelbox/schema/model_run.py

@@ -5,6 +5,7 @@
 import time
 import logging
 import requests
+import warnings
 from labelbox import parser
 from enum import Enum
 
@@ -470,6 +471,9 @@ def export_labels(
             If the server didn't generate during the `timeout_seconds` period,
             None is returned.
         """
+        warnings.warn(
+            "You are currently utilizing exports v1 for this action, which will be deprecated after December 31st, 2023. We recommend transitioning to exports v2. To view export v2 details, visit our docs: https://docs.labelbox.com/reference/label-export",
+            DeprecationWarning)
         sleep_time = 2
         query_str = """mutation exportModelRunAnnotationsPyApi($modelRunId: ID!) {
                 exportModelRunAnnotations(data: {modelRunId: $modelRunId}) {

labelbox/schema/project.py

@@ -1,6 +1,7 @@
 import json
 import logging
 import time
+import warnings
 from collections import namedtuple
 from datetime import datetime, timezone
 from pathlib import Path
@@ -231,6 +232,9 @@ def export_queued_data_rows(
         Raises:
             LabelboxError: if the export fails or is unable to download within the specified time.
         """
+        warnings.warn(
+            "You are currently utilizing exports v1 for this action, which will be deprecated after December 31st, 2023. We recommend transitioning to exports v2. To view export v2 details, visit our docs: https://docs.labelbox.com/reference/label-export",
+            DeprecationWarning)
         id_param = "projectId"
         metadata_param = "includeMetadataInput"
         query_str = """mutation GetQueuedDataRowsExportUrlPyApi($%s: ID!, $%s: Boolean!)
@@ -334,6 +338,9 @@ def export_labels(self,
             URL of the data file with this Project's labels. If the server didn't
             generate during the `timeout_seconds` period, None is returned.
         """
+        warnings.warn(
+            "You are currently utilizing exports v1 for this action, which will be deprecated after December 31st, 2023. We recommend transitioning to exports v2. To view export v2 details, visit our docs: https://docs.labelbox.com/reference/label-export",
+            DeprecationWarning)
 
         def _string_from_dict(dictionary: dict, value_with_quotes=False) -> str:
             """Returns a concatenated string of the dictionary's keys and values
@@ -1166,6 +1173,60 @@ def set_labeling_parameter_overrides(self, data) -> bool:
         res = self.client.execute(query_str, {id_param: self.uid})
         return res["project"]["setLabelingParameterOverrides"]["success"]
 
+    def update_data_row_labeling_priority(
+        self,
+        data_rows: List[str],
+        priority: int,
+    ) -> bool:
+        """
+        Updates labeling parameter overrides to this project in bulk. This method allows up to 1 million data rows to be
+        updated at once.
+
+        See information on priority here:
+            https://docs.labelbox.com/en/configure-editor/queue-system#reservation-system
+
+        Args:
+            data_rows (iterable): An iterable of data row ids.
+            priority (int): Priority for the new override. See above for more information.
+
+        Returns:
+            bool, indicates if the operation was a success.
+        """
+
+        method = "createQueuePriorityUpdateTask"
+        priority_param = "priority"
+        project_param = "projectId"
+        data_rows_param = "dataRowIds"
+        query_str = """mutation %sPyApi(
+              $%s: Int!
+              $%s: ID!
+              $%s: [ID!]
+            ) {
+              project(where: { id: $%s }) {
+                %s(
+                  data: { priority: $%s, dataRowIds: $%s }
+                ) {
+                  taskId
+                }
+              }
+            }
+        """ % (method, priority_param, project_param, data_rows_param,
+               project_param, method, priority_param, data_rows_param)
+        res = self.client.execute(
+            query_str, {
+                priority_param: priority,
+                project_param: self.uid,
+                data_rows_param: data_rows
+            })["project"][method]
+
+        task_id = res['taskId']
+
+        task = self._wait_for_task(task_id)
+        if task.status != "COMPLETE":
+            raise LabelboxError(f"Priority was not updated successfully: " +
+                                json.dumps(task.errors))
+        return True
+
     def upsert_review_queue(self, quota_factor) -> None:
         """ Sets the the proportion of total assets in a project to review.
 

mypy.ini

@@ -1,8 +1,5 @@
 [mypy]
 
-[mypy-backoff.*]
-ignore_missing_imports = True
-
 [mypy-google.*]
 ignore_missing_imports = True
 

requirements.txt

@@ -1,4 +1,3 @@
-backoff==1.10.0
 geojson
 google-api-core>=1.22.1
 imagesize

setup.py

@@ -20,8 +20,8 @@
     url="https://labelbox.com",
     packages=setuptools.find_packages(),
     install_requires=[
-        "backoff==1.10.0", "requests>=2.22.0", "google-api-core>=1.22.1",
-        "pydantic>=1.8,<2.0", "tqdm", "python-dateutil>=2.8.2,<2.9.0"
+        "requests>=2.22.0", "google-api-core>=1.22.1", "pydantic>=1.8,<2.0",
+        "tqdm", "python-dateutil>=2.8.2,<2.9.0"
     ],
     extras_require={
         'data': [

tests/integration/conftest.py

@@ -11,7 +11,7 @@
 import pytest
 import requests
 
-from labelbox import Dataset
+from labelbox import Dataset, DataRow
 from labelbox import LabelingFrontend
 from labelbox import OntologyBuilder, Tool, Option, Classification, MediaType
 from labelbox.orm import query
@@ -167,6 +167,29 @@ def consensus_project(client, rand_gen):
     project.delete()
 
 
+@pytest.fixture
+def consensus_project_with_batch(consensus_project, initial_dataset, rand_gen,
+                                 image_url):
+    project = consensus_project
+    dataset = initial_dataset
+
+    task = dataset.create_data_rows([{DataRow.row_data: image_url}] * 3)
+    task.wait_till_done()
+    assert task.status == "COMPLETE"
+
+    data_rows = list(dataset.data_rows())
+    assert len(data_rows) == 3
+
+    batch = project.create_batch(
+        rand_gen(str),
+        data_rows,  # sample of data row objects
+        5  # priority between 1(Highest) - 5(lowest)
+    )
+
+    yield [project, batch, data_rows]
+    batch.delete()
+
+
 @pytest.fixture
 def dataset(client, rand_gen):
     dataset = client.create_dataset(name=rand_gen(str))

tests/integration/export_v2/test_export_video.py

@@ -17,13 +17,14 @@ def org_id(client):
     return client.get_organization().uid
 
 
-def test_export_v2_video(client, configured_project_without_data_rows,
-                         video_data, video_data_row, is_adv_enabled,
-                         bbox_video_annotation_objects, rand_gen, user_id,
-                         org_id):
-
-    orgid = client.get_organization().uid
-    userid = client.get_user().uid
+def test_export_v2_video(
+    client,
+    configured_project_without_data_rows,
+    video_data,
+    video_data_row,
+    bbox_video_annotation_objects,
+    rand_gen,
+):
 
     project = configured_project_without_data_rows
     project_id = project.uid
@@ -51,6 +52,7 @@ def test_export_v2_video(client, configured_project_without_data_rows,
 
     num_retries = 5
     task = None
+
     while (num_retries > 0):
         task = project.export_v2(
             params={
@@ -72,7 +74,10 @@ def test_export_v2_video(client, configured_project_without_data_rows,
     assert data_row_export['global_key'] == video_data_row['global_key']
     assert data_row_export['row_data'] == video_data_row['row_data']
     assert export_data[0]['media_attributes']['mime_type'] == 'video/mp4'
-
+    assert export_data[0]['media_attributes'][
+        'frame_rate'] == 10  # as per the video_data fixture
+    assert export_data[0]['media_attributes'][
+        'frame_count'] == 100  # as per the video_data fixture
     expected_export_label = {
         'label_kind': 'Video',
         'version': '1.0.0',

tests/integration/test_labeling_parameter_overrides.py

@@ -2,23 +2,8 @@
 from labelbox import DataRow
 
 
-def test_labeling_parameter_overrides(consensus_project, initial_dataset,
-                                      rand_gen, image_url):
-    project = consensus_project
-    dataset = initial_dataset
-
-    task = dataset.create_data_rows([{DataRow.row_data: image_url}] * 3)
-    task.wait_till_done()
-    assert task.status == "COMPLETE"
-
-    data_rows = list(dataset.data_rows())
-    assert len(data_rows) == 3
-
-    project.create_batch(
-        rand_gen(str),
-        data_rows,  # sample of data row objects
-        5  # priority between 1(Highest) - 5(lowest)
-    )
+def test_labeling_parameter_overrides(consensus_project_with_batch):
+    [project, _, data_rows] = consensus_project_with_batch
 
     init_labeling_parameter_overrides = list(
         project.labeling_parameter_overrides())
@@ -45,10 +30,27 @@ def test_labeling_parameter_overrides(consensus_project, initial_dataset,
         data = [(data_rows[2], "a_string", 3)]
         project.set_labeling_parameter_overrides(data)
     assert str(exc_info.value) == \
-        f"Priority must be an int. Found <class 'str'> for data_row {data_rows[2]}. Index: 0"
+           f"Priority must be an int. Found <class 'str'> for data_row {data_rows[2]}. Index: 0"
 
     with pytest.raises(TypeError) as exc_info:
         data = [(data_rows[2].uid, 1)]
         project.set_labeling_parameter_overrides(data)
     assert str(exc_info.value) == \
-        "data_row should be be of type DataRow. Found <class 'str'>. Index: 0"
+           "data_row should be be of type DataRow. Found <class 'str'>. Index: 0"
+
+
+def test_set_labeling_priority(consensus_project_with_batch):
+    [project, _, data_rows] = consensus_project_with_batch
+
+    init_labeling_parameter_overrides = list(
+        project.labeling_parameter_overrides())
+    assert len(init_labeling_parameter_overrides) == 3
+    assert {o.priority for o in init_labeling_parameter_overrides} == {5, 5, 5}
+
+    data = [data_row.uid for data_row in data_rows]
+    success = project.update_data_row_labeling_priority(data, 1)
+    assert success
+
+    updated_overrides = list(project.labeling_parameter_overrides())
+    assert len(updated_overrides) == 3
+    assert {o.priority for o in updated_overrides} == {1, 1, 1}