[SN-132] modified queue_management.ipynb to remove some parameters (#1614)

Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

Author: Gabefire

examples/project_configuration/queue_management.ipynb

@@ -48,8 +48,8 @@
     {
       "metadata": {},
       "source": [
-        "!pip install labelbox -q\n",
-        "!pip install numpy"
+        "%pip install -q \"labelbox[data]\"\n",
+        "%pip install -q numpy"
       ],
       "cell_type": "code",
       "outputs": [],
@@ -105,11 +105,13 @@
       "source": [
         "# Create Labelbox  project\n",
         "\n",
-        "project = client.create_project(name=\"batch-test-project\",\n",
-        "                                description=\"a description\",\n",
-        "                                quality_mode=QualityMode.Benchmark, # For Consensus projects use quality_mode = QualityMode.Consensus\n",
-        "                                media_type=lb.MediaType.Image,\n",
-        "                                )\n",
+        "project = client.create_project(\n",
+        "    name=\"batch-test-project\",\n",
+        "    description=\"a description\",\n",
+        "    quality_mode=QualityMode.\n",
+        "    Benchmark,  # For Consensus projects use quality_mode = QualityMode.Consensus\n",
+        "    media_type=lb.MediaType.Image,\n",
+        ")\n",
         "\n",
         "dataset = client.create_dataset(name=\"queue_dataset\")"
       ],
@@ -133,20 +135,19 @@
         "        name=\"Quality Issues\",\n",
         "        options=[\n",
         "            lb.Option(value=\"blurry\", label=\"Blurry\"),\n",
-        "            lb.Option(value=\"distorted\", label=\"Distorted\")\n",
-        "        ]\n",
+        "            lb.Option(value=\"distorted\", label=\"Distorted\"),\n",
+        "        ],\n",
         "    )\n",
         "]\n",
         "\n",
         "ontology_builder = lb.OntologyBuilder(\n",
-        "    tools=[],\n",
-        "    classifications=classification_features\n",
+        "    tools=[], classifications=classification_features\n",
         ")\n",
         "\n",
         "ontology = client.create_ontology(\n",
-        "  \"Ontology from new features\",\n",
-        "  ontology_builder.asdict(),\n",
-        "  media_type=lb.MediaType.Image\n",
+        "    \"Ontology from new features\",\n",
+        "    ontology_builder.asdict(),\n",
+        "    media_type=lb.MediaType.Image,\n",
         ")\n",
         "\n",
         "project.setup_editor(ontology)"
@@ -170,19 +171,20 @@
         "global_keys = []\n",
         "# Generate data rows\n",
         "for i in range(1, 5):\n",
-        "  global_key = str(uuid4())\n",
-        "  row = {\n",
-        "      \"row_data\":  f\"https://storage.googleapis.com/labelbox-datasets/People_Clothing_Segmentation/jpeg_images/IMAGES/img_000{i}.jpeg\",\n",
-        "      \"global_key\": global_key\n",
+        "    global_key = str(uuid4())\n",
+        "    row = {\n",
+        "        \"row_data\":\n",
+        "            f\"https://storage.googleapis.com/labelbox-datasets/People_Clothing_Segmentation/jpeg_images/IMAGES/img_000{i}.jpeg\",\n",
+        "        \"global_key\":\n",
+        "            global_key,\n",
         "    }\n",
-        "  global_keys.append(global_key)\n",
-        "  uploads.append(row)\n",
-        "\n",
+        "    global_keys.append(global_key)\n",
+        "    uploads.append(row)\n",
         "\n",
         "data_rows = dataset.create_data_rows(uploads)\n",
         "data_rows.wait_till_done()\n",
-        "print(\"Errors\" , data_rows.errors)\n",
-        "print(\"Dataset status: \", data_rows.status)\n"
+        "print(\"Errors\", data_rows.errors)\n",
+        "print(\"Dataset status: \", data_rows.status)"
       ],
       "cell_type": "code",
       "outputs": [],
@@ -203,19 +205,22 @@
         "# Create the batch\n",
         "\n",
         "batch = project.create_batch(\n",
-        "  \"batch-demo\", # Each batch in a project must have a unique name\n",
-        "  global_keys = global_keys[0:2], # A list of data rows, data row ids or global keys\n",
-        "  priority=5 # priority between 1(Highest) - 5(lowest) 5 is the max priority that can be set\n",
+        "    \"batch-demo\",  # Each batch in a project must have a unique name\n",
+        "    global_keys=global_keys[\n",
+        "        0:2],  # A list of data rows, data row ids or global keys\n",
+        "    priority=\n",
+        "    5,  # priority between 1(Highest) - 5(lowest) 5 is the max priority that can be set\n",
         ")\n",
         "\n",
         "batch2 = project.create_batch(\n",
-        "  \"batch-demo-2\", # Each batch in a project must have a unique name\n",
-        "  #Provide a slice of the data since you can't import assets with global keys that already exist in the project.\n",
-        "  global_keys=global_keys[2:4], # A list of data rows, data row ids or global keys\n",
-        "  priority=1 # priority between 1(Highest) - 5(lowest) 5 is the max priority that can be set\n",
+        "    \"batch-demo-2\",  # Each batch in a project must have a unique name\n",
+        "    # Provide a slice of the data since you can't import assets with global keys that already exist in the project.\n",
+        "    global_keys=global_keys[\n",
+        "        2:4],  # A list of data rows, data row ids or global keys\n",
+        "    priority=\n",
+        "    1,  # priority between 1(Highest) - 5(lowest) 5 is the max priority that can be set\n",
         ")\n",
         "\n",
-        "\n",
         "print(\"Batch: \", batch)\n",
         "print(\"Batch2: \", batch2)"
       ],
@@ -226,8 +231,9 @@
     {
       "metadata": {},
       "source": [
-        "print(\"View the results here:\",\n",
-        "      f\"https://app.labelbox.com/projects/{project.uid}\")\n",
+        "print(\n",
+        "    \"View the results here:\", f\"https://app.labelbox.com/projects/{project.uid}\"\n",
+        ")\n",
         "# Click `start labeling` to see the images in order"
       ],
       "cell_type": "code",
@@ -246,8 +252,6 @@
     {
       "metadata": {},
       "source": [
-        "client.enable_experimental = True\n",
-        "\n",
         "export_task = project.export()\n",
         "export_task.wait_till_done()"
       ],
@@ -261,23 +265,23 @@
         "# Get data rows from project\n",
         "data_rows = []\n",
         "\n",
+        "\n",
         "def json_stream_handler(output: lb.JsonConverterOutput):\n",
-        "  data_row = json.loads(output.json_str)\n",
-        "  data_rows.append(lb.GlobalKey(data_row[\"data_row\"][\"global_key\"])) # Convert json data row into data row identifier object\n",
+        "    data_row = json.loads(output.json_str)\n",
+        "    data_rows.append(\n",
+        "        lb.GlobalKey(data_row[\"data_row\"][\"global_key\"])\n",
+        "    )  # Convert json data row into data row identifier object\n",
         "\n",
         "\n",
         "if export_task.has_errors():\n",
-        "  export_task.get_stream(\n",
-        "\n",
-        "  converter=lb.JsonConverter(),\n",
-        "  stream_type=lb.StreamType.ERRORS\n",
-        "  ).start(stream_handler=lambda error: print(error))\n",
+        "    export_task.get_stream(\n",
+        "        converter=lb.JsonConverter(), stream_type=lb.StreamType.ERRORS\n",
+        "    ).start(stream_handler=lambda error: print(error))\n",
         "\n",
         "if export_task.has_result():\n",
-        "  export_json = export_task.get_stream(\n",
-        "    converter=lb.JsonConverter(),\n",
-        "    stream_type=lb.StreamType.RESULT\n",
-        "  ).start(stream_handler=json_stream_handler)"
+        "    export_json = export_task.get_stream(\n",
+        "        converter=lb.JsonConverter(), stream_type=lb.StreamType.RESULT\n",
+        "    ).start(stream_handler=json_stream_handler)"
       ],
       "cell_type": "code",
       "outputs": [],
@@ -290,8 +294,8 @@
         "project_lpos = project.labeling_parameter_overrides()\n",
         "\n",
         "for lpo in project_lpos:\n",
-        "  print(lpo)\n",
-        "  print(\"Data row:\", lpo.data_row().uid)"
+        "    print(lpo)\n",
+        "    print(\"Data row:\", lpo.data_row().uid)"
       ],
       "cell_type": "code",
       "outputs": [],
@@ -302,19 +306,18 @@
       "source": [
         "# Add LPOs\n",
         "lpos = []\n",
-        "priority=1\n",
+        "priority = 1\n",
         "for data_row in data_rows:\n",
-        "  lpos.append((data_row, priority, 1))\n",
-        "  priority+=1\n",
-        "\n",
+        "    lpos.append((data_row, priority))\n",
+        "    priority += 1\n",
         "\n",
         "project.set_labeling_parameter_overrides(lpos)\n",
         "\n",
         "# Check results\n",
         "project_lpos = list(project.labeling_parameter_overrides())\n",
         "\n",
         "for lpo in project_lpos:\n",
-        "  print(lpo)"
+        "    print(lpo)"
       ],
       "cell_type": "code",
       "outputs": [],
@@ -328,13 +331,15 @@
         "for data_row in data_rows:\n",
         "    global_keys.append(data_row.key)\n",
         "\n",
-        "project.update_data_row_labeling_priority(data_rows=lb.GlobalKeys(global_keys), priority=1)\n",
+        "project.update_data_row_labeling_priority(\n",
+        "    data_rows=lb.GlobalKeys(global_keys), priority=1\n",
+        ")\n",
         "\n",
         "# Check results\n",
         "project_lpos = list(project.labeling_parameter_overrides())\n",
         "\n",
         "for lpo in project_lpos:\n",
-        "  print(lpo)"
+        "    print(lpo)"
       ],
       "cell_type": "code",
       "outputs": [],