Sdk release 3.49.0 (#1161)

Author: apollonin

.github/workflows/python-package.yml

@@ -89,4 +89,4 @@ jobs:
 
           DA_GCP_LABELBOX_API_KEY: ${{ secrets[matrix.da-test-key] }}
         run: |
-          tox -e py -- -n 10 -svv --reruns 5 --reruns-delay 10
+          tox -e py -- -n 10 -svv --reruns 5 --reruns-delay 8

.pre-commit-config.yaml

@@ -1,6 +1,6 @@
 repos:
   - repo: https://github.com/google/yapf
-    rev: v0.44.0
+    rev: v0.40.1
     hooks:
       - id: yapf
         name: "yapf"

CHANGELOG.md

@@ -1,4 +1,15 @@
 # Changelog
+# Version 3.49.0 (2023-06-27)
+
+## Changed
+* Improved batch creation logic when more than 1000 global keys provided
+
+
+## Notebooks
+* Added example on how to access mark in export v2
+* Removed NDJSON library from `examples/basics/custom_embeddings.ipynb`
+* Removed `queue_mode` property from `create_project()` method call.
+
 # Version 3.48.0 (2023-06-13)
 ## Added
 * Support for ISO format to exports V2 date filters
@@ -37,7 +48,7 @@
 * Global key support to DataRow Metadata `bulk_upsert()` function
 
 ## Notebooks
-* Removed dataset based projects from project setup notebook 
+* Removed dataset based projects from project setup notebook
 * Updated all links to annotation import and prediction notebooks in examples README
 
 # Version 3.45.0 (2023-04-27)
@@ -91,7 +102,7 @@
 ## Added
 * Message based classifications with annotation types for conversations
 * Video and raster segmentation annotation types
-* Global key support to `ConversationEntity`, `DocumentEntity` and `DicomSegments`   
+* Global key support to `ConversationEntity`, `DocumentEntity` and `DicomSegments`
 * DICOM polyline annotation type
 * Confidence attribute to classification annotations
 
@@ -100,7 +111,7 @@
 * Removed `deletedDataRowGlobalKey` from `get_data_row_ids_for_global_keys()`
 
 ## Fixed
-* Annotation data type coercion by Pydantic    
+* Annotation data type coercion by Pydantic
 * Error message when end point coordinates are smaller than start point coordinates
 * Some typos in error messages
 
@@ -145,7 +156,7 @@
 * Updated `annotation_import/pdf.ipynb` with more examples
 * Added `integrations/huggingface/huggingface.ipynb`
 * Fixed broken links for detectron notebooks in README
-* Added Dataset QueueMode during project creation in `integrations/detectron2/coco_object.ipynb` 
+* Added Dataset QueueMode during project creation in `integrations/detectron2/coco_object.ipynb`
 * Removed metadata and updated ontology in `annotation_import/text.ipynb`
 * Removed confidence scores in `annotation_import/image.ipynb`
 * Updated custom embedding tutorial links in `basics/data_row_metadata.ipynb`
@@ -190,7 +201,7 @@
 
 # Version 3.37.0 (2023-02-08)
 ## Added
-* New `last_activity_start` param to `project.export_labels()` for filtering which labels are exported. See docstring for more on how this works. 
+* New `last_activity_start` param to `project.export_labels()` for filtering which labels are exported. See docstring for more on how this works.
 
 ## Changed
 * Rename `Classification.instructions` to `Classification.name`

Makefile

@@ -9,36 +9,36 @@ test-local: build-image
 		./scripts/ensure_local_setup.sh; \
 	fi
 
-	docker run -it -v ${PWD}:/usr/src -w /usr/src \
+	docker run -it --rm -v ${PWD}:/usr/src -w /usr/src \
 		-e LABELBOX_TEST_ENVIRON="local" \
 		-e DA_GCP_LABELBOX_API_KEY=${DA_GCP_LABELBOX_API_KEY} \
 		-e LABELBOX_TEST_API_KEY_LOCAL=${LABELBOX_TEST_API_KEY_LOCAL} \
 		local/labelbox-python:test pytest $(PATH_TO_TEST)
 
 test-staging: build-image
-	docker run -it -v ${PWD}:/usr/src -w /usr/src \
+	docker run -it --rm -v ${PWD}:/usr/src -w /usr/src \
 		-e LABELBOX_TEST_ENVIRON="staging" \
 		-e DA_GCP_LABELBOX_API_KEY=${DA_GCP_LABELBOX_API_KEY} \
 		-e LABELBOX_TEST_API_KEY_STAGING=${LABELBOX_TEST_API_KEY_STAGING} \
 		local/labelbox-python:test pytest $(PATH_TO_TEST)
 
 test-prod: build-image
-	docker run -it -v ${PWD}:/usr/src -w /usr/src \
+	docker run -it --rm -v ${PWD}:/usr/src -w /usr/src \
 		-e LABELBOX_TEST_ENVIRON="prod" \
 		-e DA_GCP_LABELBOX_API_KEY=${DA_GCP_LABELBOX_API_KEY} \
 		-e LABELBOX_TEST_API_KEY_PROD=${LABELBOX_TEST_API_KEY_PROD} \
 		local/labelbox-python:test pytest $(PATH_TO_TEST)
 
 test-onprem: build-image
-	docker run -it -v ${PWD}:/usr/src -w /usr/src \
+	docker run -it --rm -v ${PWD}:/usr/src -w /usr/src \
 		-e LABELBOX_TEST_ENVIRON="onprem" \
 		-e DA_GCP_LABELBOX_API_KEY=${DA_GCP_LABELBOX_API_KEY} \
 		-e LABELBOX_TEST_API_KEY_ONPREM=${LABELBOX_TEST_API_KEY_ONPREM} \
 		-e LABELBOX_TEST_ONPREM_HOSTNAME=${LABELBOX_TEST_ONPREM_HOSTNAME} \
 		local/labelbox-python:test pytest $(PATH_TO_TEST)
 
 test-custom: build-image
-	docker run -it -v ${PWD}:/usr/src -w /usr/src \
+	docker run -it --rm -v ${PWD}:/usr/src -w /usr/src \
 		-e LABELBOX_TEST_ENVIRON="custom" \
 		-e DA_GCP_LABELBOX_API_KEY=${DA_GCP_LABELBOX_API_KEY} \
 		-e LABELBOX_TEST_API_KEY_CUSTOM=${LABELBOX_TEST_API_KEY_CUSTOM} \

docs/source/conf.py

@@ -21,7 +21,7 @@
 copyright = '2021, Labelbox'
 author = 'Labelbox'
 
-release = '3.48.0'
+release = '3.49.0'
 
 # -- General configuration ---------------------------------------------------
 

examples/README.md

@@ -74,5 +74,5 @@ Train a model using data annotated on Labelbox
 ## [Extras](extras)
 
 | Notebook                        | Github                                                 | Google Colab                                                                                                                                                                                                      |
-| ------------------------------- | ------------------------------------------------------ | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --- |
-| Classification Confusion Matrix | [Github](extras/classification-confusion-matrix.ipynb) | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Labelbox/labelbox-python/blob/master/examples/extras/classification-confusion-matrix.ipynb) |     |
+| ------------------------------- | ------------------------------------------------------ | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| Classification Confusion Matrix | [Github](extras/classification-confusion-matrix.ipynb) | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Labelbox/labelbox-python/blob/master/examples/extras/classification-confusion-matrix.ipynb) |

examples/annotation_import/conversational.ipynb

@@ -432,19 +432,19 @@
         "    lb.Classification( \n",
         "      class_type=lb.Classification.Type.TEXT,\n",
         "      scope=lb.Classification.Scope.INDEX,          \n",
-        "      instructions=\"text_convo\"), \n",
+        "      name=\"text_convo\"), \n",
         "    lb.Classification( \n",
         "      class_type=lb.Classification.Type.CHECKLIST, \n",
         "      scope=lb.Classification.Scope.INDEX,                     \n",
-        "      instructions=\"checklist_convo\", \n",
+        "      name=\"checklist_convo\", \n",
         "      options=[\n",
         "        lb.Option(value=\"first_checklist_answer\"),\n",
         "        lb.Option(value=\"second_checklist_answer\")            \n",
         "      ]\n",
         "    ), \n",
         "    lb.Classification( \n",
         "      class_type=lb.Classification.Type.RADIO, \n",
-        "      instructions=\"radio_convo\", \n",
+        "      name=\"radio_convo\", \n",
         "      scope=lb.Classification.Scope.INDEX,          \n",
         "      options=[\n",
         "        lb.Option(value=\"first_radio_answer\"),\n",

examples/annotation_import/image.ipynb

@@ -764,8 +764,7 @@
         "# Project defaults to batch mode with benchmark quality settings if this argument is not provided\n",
         "# Queue mode will be deprecated once dataset mode is deprecated\n",
         "project = client.create_project(name=\"image-demo-project\",\n",
-        "                                media_type=lb.MediaType.Image,\n",
-        "                                queue_mode=lb.QueueMode.Batch)\n",
+        "                                media_type=lb.MediaType.Image)\n",
         "\n",
         "project.setup_editor(ontology)"
       ],

examples/annotation_import/pdf.ipynb

@@ -80,8 +80,7 @@
       "source": [
         "import uuid\n",
         "import labelbox as lb\n",
-        "import labelbox.types as lb_types\n",
-        "from labelbox.schema.queue_mode import QueueMode"
+        "import labelbox.types as lb_types\n"
       ],
       "cell_type": "code",
       "outputs": [],
@@ -769,7 +768,6 @@
       "source": [
         "# Create a Labelbox project\n",
         "project = client.create_project(name=\"PDF_annotation_demo\",                                    \n",
-        "                                    queue_mode=QueueMode.Batch,\n",
         "                                    media_type=lb.MediaType.Document)\n",
         "project.setup_editor(ontology)"
       ],

examples/annotation_import/tiled.ipynb

@@ -875,7 +875,6 @@
         "# Queue mode will be deprecated once dataset mode is deprecated\n",
         "\n",
         "project = client.create_project(name=\"Geospatial Project Demo\",\n",
-        "                                    queue_mode=lb.QueueMode.Batch,\n",
         "                                    media_type=lb.MediaType.Geospatial_Tile)\n",
         "\n",
         "\n",