Merge pull request #1011 from Labelbox/ao_latest_notebooks

Wrapping global keys in a list

Author: ovalle15

examples/annotation_import/conversational.ipynb

@@ -310,15 +310,7 @@
         "project.setup_editor(ontology) # Connect your ontology and editor to your project"
       ],
       "cell_type": "code",
-      "outputs": [
-        {
-          "name": "stderr",
-          "output_type": "stream",
-          "text": [
-            "WARNING:labelbox.client:Default createProject behavior will soon be adjusted to prefer batch projects. Pass in `queue_mode` parameter explicitly to opt-out for the time being.\n"
-          ]
-        }
-      ],
+      "outputs": [],
       "execution_count": null
     },
     {
@@ -336,29 +328,14 @@
         "# Create a batch to send to your MAL project\n",
         "batch = project.create_batch(\n",
         "  \"first-batch-convo-demo\", # Each batch in a project must have a unique name\n",
-        "  global_keys=global_key, # Paginated collection of data row objects, list of data row ids or global keys\n",
+        "  global_keys=[global_key], # Paginated collection of data row objects, list of data row ids or global keys\n",
         "  priority=5 # priority between 1(Highest) - 5(lowest)\n",
         ")\n",
         "\n",
         "print(\"Batch: \", batch)"
       ],
       "cell_type": "code",
-      "outputs": [
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "Batch:  <Batch {\n",
-            "    \"consensus_settings_json\": \"{\\\"numberOfLabels\\\":1,\\\"coveragePercentage\\\":0}\",\n",
-            "    \"created_at\": \"2022-12-23 20:20:51+00:00\",\n",
-            "    \"name\": \"first-batch-convo-demo\",\n",
-            "    \"size\": 1,\n",
-            "    \"uid\": \"4bceaa60-82ff-11ed-b68f-3b1759fe9ddf\",\n",
-            "    \"updated_at\": \"2022-12-23 20:20:51+00:00\"\n",
-            "}>\n"
-          ]
-        }
-      ],
+      "outputs": [],
       "execution_count": null
     },
     {
@@ -428,16 +405,7 @@
         "print(\"Status of uploads: \", upload_job.statuses)"
       ],
       "cell_type": "code",
-      "outputs": [
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "Errors: []\n",
-            " \n"
-          ]
-        }
-      ],
+      "outputs": [],
       "execution_count": null
     },
     {
@@ -463,15 +431,7 @@
         "print(\"Status of uploads: \", upload_job.statuses)"
       ],
       "cell_type": "code",
-      "outputs": [
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "Errors: []\n"
-          ]
-        }
-      ],
+      "outputs": [],
       "execution_count": null
     },
     {
@@ -484,7 +444,6 @@
     {
       "metadata": {},
       "source": [
-        "#upload_job\n",
         "# project.delete()\n",
         "# dataset.delete()"
       ],

examples/annotation_import/image.ipynb

@@ -304,6 +304,11 @@
       "outputs": [],
       "execution_count": null
     },
+    {
+      "metadata": {},
+      "source": [],
+      "cell_type": "markdown"
+    },
     {
       "metadata": {},
       "source": [
@@ -690,28 +695,13 @@
       "source": [
         "batch = project.create_batch(\n",
         "    \"Initial batch2\", # name of the batch\n",
-        "    global_keys=global_key, # DataRow objects, a list of global keys or data row ids are supported\n",
+        "    global_keys=[global_key], # Paginated collection of data row objects, list of data row ids or global keys\n",
         "    priority=1 # priority between 1-5\n",
         ")\n",
         "print(\"Batch\", batch)"
       ],
       "cell_type": "code",
-      "outputs": [
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "Batch <Batch {\n",
-            "    \"consensus_settings_json\": \"{\\\"numberOfLabels\\\":1,\\\"coveragePercentage\\\":0}\",\n",
-            "    \"created_at\": \"2023-03-17 13:58:44+00:00\",\n",
-            "    \"name\": \"Initial batch2\",\n",
-            "    \"size\": 0,\n",
-            "    \"uid\": \"d4b46230-c4cb-11ed-8ef7-03b2e7ba4cb0\",\n",
-            "    \"updated_at\": \"2023-03-17 13:58:44+00:00\"\n",
-            "}>\n"
-          ]
-        }
-      ],
+      "outputs": [],
       "execution_count": null
     },
     {
@@ -773,7 +763,7 @@
     {
       "metadata": {},
       "source": [
-        "label_ndjson_method2 = []\n",
+        "label_ndjson = []\n",
         "for annotation in [radio_annotation_ndjson, \n",
         "              checklist_annotation_ndjson, \n",
         "              text_annotation_ndjson,\n",
@@ -792,7 +782,7 @@
         "  annotation.update({\n",
         "      'dataRow': {'globalKey':global_key},\n",
         "  })\n",
-        "  label_ndjson_method2.append(annotation)\n"
+        "  label_ndjson.append(annotation)\n"
       ],
       "cell_type": "code",
       "outputs": [],
@@ -821,23 +811,14 @@
         "    client = client, \n",
         "    project_id = project.uid, \n",
         "    name=\"mal_job\"+str(uuid.uuid4()), \n",
-        "    predictions=label_ndjson_method2)\n",
+        "    predictions=label_ndjson)\n",
         "\n",
         "print(\"Errors:\", upload_job.errors)\n",
         "print(\"Status of uploads: \", upload_job.statuses)\n",
         "print(\" \")"
       ],
       "cell_type": "code",
-      "outputs": [
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "Errors: []\n",
-            " \n"
-          ]
-        }
-      ],
+      "outputs": [],
       "execution_count": null
     },
     {
@@ -855,7 +836,7 @@
         "    client = client, \n",
         "    project_id = project.uid, \n",
         "    name=\"label_import_job\"+str(uuid.uuid4()),  \n",
-        "    labels=label_ndjson_method2)\n",
+        "    labels=label_ndjson)\n",
         "\n",
         "print(\"Errors:\", upload_job.errors)\n",
         "print(\"Status of uploads: \", upload_job.statuses)\n",

examples/annotation_import/pdf.ipynb

@@ -291,7 +291,7 @@
       "metadata": {},
       "source": [
         "## Text layer url is required for uploading entity annotations\n",
-        "global_key = \"0801.3483.pd\"\n",
+        "global_key = \"0801.3483.pdf\"\n",
         "img_url = {\n",
         "    \"row_data\": {\n",
         "      \"pdf_url\": \"https://storage.googleapis.com/labelbox-datasets/arxiv-pdf/data/99-word-token-pdfs/0801.3483.pdf\",\n",
@@ -431,23 +431,12 @@
       "source": [
         "project.create_batch(\n",
         "  \"PDF_annotation_batch\", # Each batch in a project must have a unique name\n",
-        "  global_keys=global_key, # A list of data rows or data row ids\n",
+        "  global_keys=[global_key], # Paginated collection of data row objects, list of data row ids or global keys\n",
         "  priority=5 # priority between 1(Highest) - 5(lowest)\n",
         ")"
       ],
       "cell_type": "code",
-      "outputs": [
-        {
-          "data": {
-            "text/plain": [
-              "<Batch ID: e2152a50-c402-11ed-9933-959d2b6c8c3c>"
-            ]
-          },
-          "execution_count": 13,
-          "metadata": {},
-          "output_type": "execute_result"
-        }
-      ],
+      "outputs": [],
       "execution_count": null
     },
     {
@@ -522,16 +511,7 @@
         "  "
       ],
       "cell_type": "code",
-      "outputs": [
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "entities_annotations_ndjson={'name': 'named_entity', 'textSelections': [{'groupId': '2f4336f4-a07e-4e0a-a9e1-5629b03b719b', 'tokenIds': ['3f984bf3-1d61-44f5-b59a-9658a2e3440f', '3bf00b56-ff12-4e52-8cc1-08dbddb3c3b8', '6e1c3420-d4b7-4c5a-8fd6-ead43bf73d80', '87a43d32-af76-4a1d-b262-5c5f4d5ace3a', 'e8606e8a-dfd9-4c49-a635-ad5c879c75d0', '67c7c19e-4654-425d-bf17-2adb8cf02c30', '149c5e80-3e07-49a7-ab2d-29ddfe6a38fa', 'b0e94071-2187-461e-8e76-96c58738a52c'], 'page': 1}]}\n",
-            "entities_annotation=confidence=None name='named_entity' feature_schema_id=None extra={} value=DocumentEntity(text_selections=[DocumentTextSelection(token_ids=['3f984bf3-1d61-44f5-b59a-9658a2e3440f', '3bf00b56-ff12-4e52-8cc1-08dbddb3c3b8', '6e1c3420-d4b7-4c5a-8fd6-ead43bf73d80', '87a43d32-af76-4a1d-b262-5c5f4d5ace3a', 'e8606e8a-dfd9-4c49-a635-ad5c879c75d0', '67c7c19e-4654-425d-bf17-2adb8cf02c30', '149c5e80-3e07-49a7-ab2d-29ddfe6a38fa', 'b0e94071-2187-461e-8e76-96c58738a52c'], group_id='2f4336f4-a07e-4e0a-a9e1-5629b03b719b', page=1)]) classifications=[]\n"
-          ]
-        }
-      ],
+      "outputs": [],
       "execution_count": null
     },
     {
@@ -545,19 +525,20 @@
     {
       "metadata": {},
       "source": [
-        "# create a Label\n",
+        "\n",
         "\n",
         "labels = []\n",
         "\n",
-        "labels.append(lb_types.Label(\n",
-        "    data=lb_types.DocumentData(\n",
-        "        global_key=global_key),\n",
-        "    annotations = [\n",
-        "        entities_annotation,\n",
-        "        checklist_annotation, \n",
-        "        text_annotation,\n",
-        "        radio_annotation\n",
-        "    ]\n",
+        "labels.append(\n",
+        "    lb_types.Label(\n",
+        "        data=lb_types.DocumentData(\n",
+        "            global_key=global_key),\n",
+        "        annotations = [\n",
+        "            entities_annotation,\n",
+        "            checklist_annotation, \n",
+        "            text_annotation,\n",
+        "            radio_annotation\n",
+        "        ]\n",
         "  )\n",
         ")"
       ],
@@ -577,7 +558,7 @@
       "metadata": {},
       "source": [
         "\n",
-        "ndjson_annotation = []\n",
+        "label_ndjson = []\n",
         "for annot in [\n",
         "    entities_annotations_ndjson,\n",
         "    bbox_annotation_ndjson,\n",
@@ -590,7 +571,7 @@
         "  annot.update({\n",
         "      'dataRow': {'globalKey': global_key},\n",
         "  })\n",
-        "  ndjson_annotation.append(annot)\n",
+        "  label_ndjson.append(annot)\n",
         "\n"
       ],
       "cell_type": "code",
@@ -618,7 +599,7 @@
         "    client = client,\n",
         "    project_id = project.uid,\n",
         "    name=\"pdf_annotation_upload\" + str(uuid.uuid4()),\n",
-        "    predictions=ndjson_annotation)\n",
+        "    predictions=label_ndjson)\n",
         "\n",
         "upload_job.wait_until_done()\n",
         "# Errors will appear for annotation uploads that failed.\n",
@@ -644,7 +625,7 @@
         "    client = client, \n",
         "    project_id = project.uid, \n",
         "    name=\"label_import_job\"+str(uuid.uuid4()),  \n",
-        "    labels=ndjson_annotation)\n",
+        "    labels=label_ndjson)\n",
         "\n",
         "print(\"Errors:\", upload_job.errors)\n",
         "print(\"Status of uploads: \", upload_job.statuses)"