Merge branch 'develop' into lgluszek/PTDT-1115

Author: lgluszek

CHANGELOG.md

@@ -1,11 +1,36 @@
 # Changelog
+
+# Version 3.40.0 (YYYY-MM-DD)
+
+## Added 
+* Upsert data rows to model runs using global keys
+
+# Version 3.39.0 (2023-02-28)
+## Added
+* New method `Project.task_queues()` to obtain the task queues for a project.
+* New method `Project.move_data_rows_to_task_queue()` for moving data rows to a specified task queue.
+* Added more descriptive error messages for metadata operations
+* Added `Task.errors_url` for async tasks that return errors as separate file (e.g. `export_v2`)
+
+## Changed
+* Updated `ProjectExportParams.labels` to `ProjectExportParams.label_details`
+* Removed `media_attributes` from `DataRowParams`
+* Added deprecation warnings for `LabelList` and removed its usage
+* Removed unused arguments in `Project.export_v2` and `ModelRun.export_v2`
+
+## Notebooks
+* Fixed `examples/label_export/images.ipynb` notebook metadata
+* Removed unused `lb_serializer` imports
+* Removed uuid generation in NDJson annotation payloads, as it is now optional
+* Removed custom embeddings usage in `examples/basics/data_row_metadata.ipynb`
+* New notebook `examples/basics/custom_embeddings.ipynb` for custom embeddings
+* Updated `examples/annotation_import/text.ipynb` to use `TextData` and specify Text media type
+
 # Version 3.38.0 (2023-02-15)
 
 ## Added
 * All imports are available via `import labelbox as lb` and `import labelbox.types as lb_types`.
 * Attachment_name support to create_attachment()
-* New method `Project.task_queues()` to obtain the task queues for a project.
-* New method `Project.move_data_rows_to_task_queue()` for moving data rows to a specified task queue.
 
 ## Changed
 * `LabelImport.create_from_objects()`, `MALPredictionImport.create_from_objects()`, `MEAPredictionImport.create_from_objects()`, `Project.upload_annotations()`, `ModelRun.add_predictions()` now support Python Types for annotations.
@@ -16,7 +41,6 @@
 * Fixed nested classification in examples/annotation_import/image.ipynb
 * Ontology (instructions --> name)
 
-
 # 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. 

Makefile

@@ -44,4 +44,5 @@ test-custom: build
 		-e DA_GCP_LABELBOX_API_KEY=${DA_GCP_LABELBOX_API_KEY} \
 		-e LABELBOX_TEST_API_KEY_CUSTOM=${LABELBOX_TEST_API_KEY_CUSTOM} \
 		-e LABELBOX_TEST_GRAPHQL_API_ENDPOINT=${LABELBOX_TEST_GRAPHQL_API_ENDPOINT} \
+		-e LABELBOX_TEST_REST_API_ENDPOINT=${LABELBOX_TEST_REST_API_ENDPOINT} \
 		local/labelbox-python:test pytest $(PATH_TO_TEST)

docs/source/conf.py

@@ -21,7 +21,7 @@
 copyright = '2021, Labelbox'
 author = 'Labelbox'
 
-release = '3.38.0'
+release = '3.39.0'
 
 # -- General configuration ---------------------------------------------------
 

examples/annotation_import/image.ipynb

@@ -271,15 +271,14 @@
         "# Bounding box with nested classification\n",
         "bbox_with_radio_subclass_annotation = lb_types.ObjectAnnotation(\n",
         "    name=\"bbox_with_radio_subclass\",\n",
-        "    confidence=0.5, # must match your ontology feature's name\n",
         "    value=lb_types.Rectangle(\n",
         "        start=lb_types.Point(x=933, y=541), # Top left\n",
         "        end=lb_types.Point(x=191, y=330), # Bottom right\n",
         "    ),\n",
         "    classifications=[\n",
         "    \tlb_types.ClassificationAnnotation(\n",
         "        \tname=\"sub_radio_question\",\n",
-        "      \t\tvalue=lb_types.Radio(answer=lb_types.ClassificationAnswer(name=\"first_sub_radio_answer\", confidence=0.5))\n",
+        "      \t\tvalue=lb_types.Radio(answer=lb_types.ClassificationAnswer(name=\"first_sub_radio_answer\"))\n",
         "    )\n",
         "  ]\n",
         ")\n",
@@ -313,7 +312,6 @@
         "# Python AnotationTypes \n",
         "polygon_annotation = lb_types.ObjectAnnotation(\n",
         "  name = \"polygon\",  # must match your ontology feature's name \n",
-        "  confidence = 0.5, \n",
         "  value=lb_types.Polygon( # Coordinates for the verticies of your polygon\n",
         "        points=[lb_types.Point(x=1489.581,y=183.934), lb_types.Point(x=2278.306,y=256.885), lb_types.Point(x=2428.197,y=200.437), lb_types.Point(x=2560.0,y=335.419),\n",
         "                lb_types.Point(x=2557.386,y=503.165), lb_types.Point(x=2320.596,y=503.103), lb_types.Point(x=2156.083, y=628.943), lb_types.Point(x=2161.111,y=785.519),\n",
@@ -401,7 +399,6 @@
         "# Python Annotation\n",
         "point_annotation = lb_types.ObjectAnnotation(\n",
         "  name = \"point\",  # must match your ontology feature's name\n",
-        "  confidence=0.5,\n",
         "  value = lb_types.Point(x=1166.606, y=1441.768),\n",
         ")\n",
         "\n",
@@ -868,4 +865,4 @@
       "execution_count": null
     }
   ]
-}
+}