Adding list to global keys

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",
@@ -308,7 +308,23 @@
         "print(\"Failed data rows:\", task.failed_data_rows)"
       ],
       "cell_type": "code",
-      "outputs": [],
+      "outputs": [
+        {
+          "name": "stderr",
+          "output_type": "stream",
+          "text": [
+            "There are errors present. Please look at `task.errors` for more details\n"
+          ]
+        },
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "Errors: Duplicate global keys found: 0801.3483.pdf\n",
+            "Failed data rows: [{'message': 'Duplicate global keys found: 0801.3483.pdf', 'failedDataRows': [{'globalKey': '0801.3483.pdf', 'rowData': 'https://storage.googleapis.com/labelbox-datasets/arxiv-pdf/data/99-word-token-pdfs/0801.3483.pdf', 'attachmentInputs': [], 'mediaAttributes': {'textLayerUrl': 'https://storage.googleapis.com/labelbox-datasets/arxiv-pdf/data/99-word-token-pdfs/0801.3483-lb-textlayer.json'}}]}]\n"
+          ]
+        }
+      ],
       "execution_count": null
     },
     {
@@ -431,7 +447,7 @@
       "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",
         ")"
       ],
@@ -440,10 +456,10 @@
         {
           "data": {
             "text/plain": [
-              "<Batch ID: e2152a50-c402-11ed-9933-959d2b6c8c3c>"
+              "<Batch ID: eb670250-c749-11ed-a43b-3542d8b96bf7>"
             ]
           },
-          "execution_count": 13,
+          "execution_count": 33,
           "metadata": {},
           "output_type": "execute_result"
         }
@@ -545,19 +561,20 @@
     {
       "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 +594,7 @@
       "metadata": {},
       "source": [
         "\n",
-        "ndjson_annotation = []\n",
+        "label_ndjson = []\n",
         "for annot in [\n",
         "    entities_annotations_ndjson,\n",
         "    bbox_annotation_ndjson,\n",
@@ -590,7 +607,7 @@
         "  annot.update({\n",
         "      'dataRow': {'globalKey': global_key},\n",
         "  })\n",
-        "  ndjson_annotation.append(annot)\n",
+        "  label_ndjson.append(annot)\n",
         "\n"
       ],
       "cell_type": "code",
@@ -618,15 +635,24 @@
         "    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",
         "print(\"Errors:\", upload_job.errors)\n",
         "print(\"Status of uploads: \", upload_job.statuses)"
       ],
       "cell_type": "code",
-      "outputs": [],
+      "outputs": [
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "Errors: []\n",
+            "Status of uploads:  [{'uuid': '262296fe-6877-432a-b12d-9c688f996f2c', 'dataRow': {'id': 'clfh1n29e1mh2078d3jt3b5cx', 'globalKey': '0801.3483.pdf'}, 'status': 'SUCCESS'}, {'uuid': '1018a2d5-9e16-4a71-9bf4-58ab7f575a38', 'dataRow': {'id': 'clfh1n29e1mh2078d3jt3b5cx', 'globalKey': '0801.3483.pdf'}, 'status': 'SUCCESS'}, {'uuid': '2755d3cd-5cfa-4022-be37-cf754734b8b0', 'dataRow': {'id': 'clfh1n29e1mh2078d3jt3b5cx', 'globalKey': '0801.3483.pdf'}, 'status': 'SUCCESS'}, {'uuid': 'ead202c6-d9d3-4f8a-9e2f-e42bb71573e2', 'dataRow': {'id': 'clfh1n29e1mh2078d3jt3b5cx', 'globalKey': '0801.3483.pdf'}, 'status': 'SUCCESS'}, {'uuid': '5a586b1a-11f1-4f49-8aca-25cb2a39956c', 'dataRow': {'id': 'clfh1n29e1mh2078d3jt3b5cx', 'globalKey': '0801.3483.pdf'}, 'status': 'SUCCESS'}, {'uuid': '17211b2a-abab-4d65-8ed6-585bbbca3483', 'dataRow': {'id': 'clfh1n29e1mh2078d3jt3b5cx', 'globalKey': '0801.3483.pdf'}, 'status': 'SUCCESS'}, {'uuid': 'c1a18383-df7c-4a72-9f45-917c8404af72', 'dataRow': {'id': 'clfh1n29e1mh2078d3jt3b5cx', 'globalKey': '0801.3483.pdf'}, 'status': 'SUCCESS'}]\n"
+          ]
+        }
+      ],
       "execution_count": null
     },
     {
@@ -644,13 +670,22 @@
         "    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)"
       ],
       "cell_type": "code",
-      "outputs": [],
+      "outputs": [
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "Errors: []\n",
+            "Status of uploads:  [{'uuid': 'bb0dbd33-4f7a-49b3-808a-a5d57563cc1a', 'dataRow': {'id': 'clfh1n29e1mh2078d3jt3b5cx', 'globalKey': '0801.3483.pdf'}, 'status': 'SUCCESS'}, {'uuid': '32021451-e988-4e23-b526-46afd769bef3', 'dataRow': {'id': 'clfh1n29e1mh2078d3jt3b5cx', 'globalKey': '0801.3483.pdf'}, 'status': 'SUCCESS'}, {'uuid': '2aaf89be-c02c-4d09-ae1a-097ff69de28a', 'dataRow': {'id': 'clfh1n29e1mh2078d3jt3b5cx', 'globalKey': '0801.3483.pdf'}, 'status': 'SUCCESS'}, {'uuid': '80e57133-3bf5-4479-9301-be37dc634283', 'dataRow': {'id': 'clfh1n29e1mh2078d3jt3b5cx', 'globalKey': '0801.3483.pdf'}, 'status': 'SUCCESS'}, {'uuid': 'a4842956-f857-4c91-ba83-9ab5969159cb', 'dataRow': {'id': 'clfh1n29e1mh2078d3jt3b5cx', 'globalKey': '0801.3483.pdf'}, 'status': 'SUCCESS'}, {'uuid': '38ee3c85-4762-4630-94d3-cf5fc10f9ce5', 'dataRow': {'id': 'clfh1n29e1mh2078d3jt3b5cx', 'globalKey': '0801.3483.pdf'}, 'status': 'SUCCESS'}, {'uuid': '6ec97e39-b971-4a46-a591-efd0705e0817', 'dataRow': {'id': 'clfh1n29e1mh2078d3jt3b5cx', 'globalKey': '0801.3483.pdf'}, 'status': 'SUCCESS'}]\n"
+          ]
+        }
+      ],
       "execution_count": null
     }
   ]