Labelbox · msokoloff1 · Oct 11, 2021 · Oct 8, 2021 · Oct 8, 2021 · Oct 8, 2021
diff --git a/CHANGELOG.md b/CHANGELOG.md
@@ -1,4 +1,20 @@
 # Changelog
+# Version 3.7.0 (2021-11-10)
+## Added
+* Search for data row ids from external ids without specifying a dataset
+    * `client.get_data_row_ids_for_external_ids()`
+* Support for numeric metadata type
+
+## Updated
+* The following `DataRowMetadataOntology` fields were renamed:
+    * `all_fields` -> `fields`
+    * `all_fields_id_index` -> `fields_by_id`
+    * `reserved_id_index` -> `reserved_by_id`
+    * `reserved_name_index` -> `reserved_by_name`
+    * `custom_id_index` -> `custom_by_id`
+    * `custom_name_index` -> `custom_by_name`
+
+
 # Version 3.6.1 (2021-07-10)
 * Fix import error that appears when exporting labels
 

diff --git a/docs/source/conf.py b/docs/source/conf.py
@@ -21,7 +21,7 @@
 copyright = '2021, Labelbox'
 author = 'Labelbox'
 
-release = '3.0.0-rc0'
+release = '3.7.0'
 
 # -- General configuration ---------------------------------------------------
 

diff --git a/examples/basics/data_row_metadata.ipynb b/examples/basics/data_row_metadata.ipynb
@@ -87,16 +87,14 @@
     "    DataRowMetadata,\n",
     "    DataRowMetadataField,\n",
     "    DeleteDataRowMetadata,\n",
-    "    DataRowMetadataKind\n",
     ")\n",
     "from sklearn.random_projection import GaussianRandomProjection\n",
+    "import tensorflow as tf\n",
     "import seaborn as sns\n",
-    "from datetime import datetime\n",
-    "from pprint import pprint\n",
     "import tensorflow_hub as hub\n",
+    "from datetime import datetime\n",
     "from tqdm.notebook import tqdm\n",
     "import requests\n",
-    "import tensorflow as tf\n",
     "from pprint import pprint"
    ]
   },
@@ -154,7 +152,7 @@
    "outputs": [],
    "source": [
     "# dictionary access with id\n",
-    "pprint(mdo.all_fields_id_index, indent=2)"
+    "pprint(mdo.fields_by_id, indent=2)"
    ]
   },
   {
@@ -167,19 +165,8 @@
    "outputs": [],
    "source": [
     "# access by name\n",
-    "split_field = mdo.reserved_name_index[\"split\"]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "uOS2QlHmqAIs",
-   "metadata": {
-    "id": "uOS2QlHmqAIs"
-   },
-   "outputs": [],
-   "source": [
-    "split_field.options"
+    "split_field = mdo.reserved_by_name[\"split\"]\n",
+    "train_field = mdo.reserved_by_name[\"split\"][\"train\"]"
    ]
   },
   {
@@ -191,7 +178,7 @@
    },
    "outputs": [],
    "source": [
-    "tag_field = mdo.reserved_name_index[\"tag\"]"
+    "tag_field = mdo.reserved_by_name[\"tag\"]"
    ]
   },
   {
@@ -286,7 +273,7 @@
    "outputs": [],
    "source": [
     "field = DataRowMetadataField(\n",
-    "    schema_id=mdo.reserved_name_index[\"captureDateTime\"].id,  # specify the schema id\n",
+    "    schema_id=mdo.reserved_by_name[\"captureDateTime\"].id,  # specify the schema id\n",
     "    value=datetime.now(), # typed inputs\n",
     ")\n",
     "# Completed object ready for upload\n",
@@ -356,11 +343,11 @@
     "    # assign datarows a split\n",
     "    rnd = random.random()\n",
     "    if rnd < test:\n",
-    "        split = \"cko8scbz70005h2dkastwhgqt\"\n",
+    "        split = mdo.reserved_by_name[\"split\"][\"test\"]\n",
     "    elif rnd < valid:\n",
-    "        split = \"cko8sc2yr0004h2dk69aj5x63\"\n",
+    "        split = mdo.reserved_by_name[\"split\"][\"valid\"]\n",
     "    else:\n",
-    "        split = \"cko8sbscr0003h2dk04w86hof\"\n",
+    "        split = mdo.reserved_by_name[\"split\"][\"train\"]\n",
     "    \n",
     "    embeddings.append(list(model(processor(response.content), training=False)[0].numpy()))\n",
     "    dt = datetime.utcnow() \n",
@@ -371,15 +358,15 @@
     "            data_row_id=datarow.uid,\n",
     "            fields=[\n",
     "                DataRowMetadataField(\n",
-    "                    schema_id=mdo.reserved_name_index[\"captureDateTime\"].id,\n",
+    "                    schema_id=mdo.reserved_by_name[\"captureDateTime\"].uid,\n",
     "                    value=dt,\n",
     "                ),\n",
     "                DataRowMetadataField(\n",
-    "                    schema_id=mdo.reserved_name_index[\"split\"].id,\n",
-    "                    value=split\n",
+    "                    schema_id=split.parent,\n",
+    "                    value=split.uid\n",
     "                ),\n",
     "                DataRowMetadataField(\n",
-    "                    schema_id=mdo.reserved_name_index[\"tag\"].id,\n",
+    "                    schema_id=mdo.reserved_by_name[\"tag\"].uid,\n",
     "                        value=message\n",
     "                ),\n",
     "            ]\n",
@@ -438,7 +425,7 @@
     "for md, embd in zip(uploads, projected):\n",
     "    md.fields.append(\n",
     "        DataRowMetadataField(\n",
-    "            schema_id=mdo.reserved_name_index[\"embedding\"].id,\n",
+    "            schema_id=mdo.reserved_by_name[\"embedding\"].uid,\n",
     "            value=embd.tolist(), # convert from numpy to list\n",
     "        ),\n",
     "    )"
@@ -568,7 +555,6 @@
     "fields = []\n",
     "# iterate through the fields you want to delete\n",
     "for field in md.fields:\n",
-    "    schema = mdo.all_fields_id_index[field.schema_id]\n",
     "    fields.append(field.schema_id)\n",
     "\n",
     "deletes = DeleteDataRowMetadata(\n",

diff --git a/examples/basics/data_rows.ipynb b/examples/basics/data_rows.ipynb
@@ -2,15 +2,13 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "premier-olympus",
    "metadata": {},
    "source": [
     "# Data rows"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "affecting-former",
    "metadata": {},
    "source": [
     "* Data rows are the items that are actually being labeled. We currently support the following:\n",
@@ -25,7 +23,6 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "posted-nation",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -35,7 +32,6 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "beautiful-ready",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -48,7 +44,6 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "id": "vertical-stockholm",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -70,7 +65,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "legendary-harvard",
    "metadata": {},
    "source": [
     "* Set the following cell with your data to run this notebook"
@@ -79,7 +73,6 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "id": "rural-fellow",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -93,7 +86,6 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "id": "proof-detective",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -103,7 +95,6 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "id": "selective-reconstruction",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -115,7 +106,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "registered-cause",
    "metadata": {},
    "source": [
     "### Read"
@@ -124,7 +114,6 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "id": "extra-paris",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -135,7 +124,6 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "id": "packed-going",
    "metadata": {},
    "outputs": [
     {
@@ -158,7 +146,6 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "id": "above-vocabulary",
    "metadata": {},
    "outputs": [
     {
@@ -177,7 +164,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "successful-patch",
    "metadata": {},
    "source": [
     "### Create\n",
@@ -187,7 +173,6 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "id": "medical-portuguese",
    "metadata": {},
    "outputs": [
     {
@@ -213,7 +198,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "helpful-lingerie",
    "metadata": {},
    "source": [
     "* Bulk create data rows (This is much faster than creating individual data rows)"
@@ -222,7 +206,6 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "id": "round-perfume",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -236,7 +219,6 @@
   {
    "cell_type": "code",
    "execution_count": 11,
-   "id": "breeding-brother",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -251,7 +233,6 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "id": "thrown-designation",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -264,7 +245,6 @@
   {
    "cell_type": "code",
    "execution_count": 13,
-   "id": "japanese-jefferson",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -280,7 +260,6 @@
   {
    "cell_type": "code",
    "execution_count": 14,
-   "id": "accessible-effort",
    "metadata": {},
    "outputs": [
     {
@@ -303,7 +282,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "interested-proxy",
    "metadata": {},
    "source": [
     "### Update"
@@ -312,7 +290,6 @@
   {
    "cell_type": "code",
    "execution_count": 15,
-   "id": "floral-elimination",
    "metadata": {},
    "outputs": [
     {
@@ -333,7 +310,6 @@
   {
    "cell_type": "code",
    "execution_count": 16,
-   "id": "collect-cosmetic",
    "metadata": {},
    "outputs": [
     {
@@ -352,13 +328,12 @@
     "# Attachments are visible for all projects connected to the data_row \n",
     "data_row.create_attachment(attachment_type=\"TEXT\", attachment_value=\"LABELERS WILL SEE THIS \")\n",
     "# See more information here:\n",
-    "# https://docs.labelbox.com/data-model/en/index-en#attachments\n",
+    "# https://docs.labelbox.com/reference/type-image\n",
     "# Note that attachment_value must always be a string (url to a video/image or a text value to display)"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "explicit-morrison",
    "metadata": {},
    "source": [
     "### Delete"
@@ -367,7 +342,6 @@
   {
    "cell_type": "code",
    "execution_count": 17,
-   "id": "dental-banana",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -378,7 +352,6 @@
   {
    "cell_type": "code",
    "execution_count": 18,
-   "id": "binary-organic",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -389,7 +362,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Python 3",
    "language": "python",
    "name": "python3"
   },
@@ -403,7 +376,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.2"
+   "version": "3.8.5"
   }
  },
  "nbformat": 4,

diff --git a/labelbox/__init__.py b/labelbox/__init__.py
@@ -1,5 +1,5 @@
 name = "labelbox"
-__version__ = "3.6.1"
+__version__ = "3.7.0"
 
 from labelbox.schema.project import Project
 from labelbox.client import Client