Update Runtime to work with Berkeley schema (i.e. nmdc-schema version v11.0.0)

.env.example

@@ -40,4 +40,9 @@ NERSC_USERNAME=replaceme
 ORCID_NMDC_CLIENT_ID=replaceme
 ORCID_NMDC_CLIENT_SECRET=replaceme
 
+# Base URL (without a trailing slash) at which the Runtime can access an instance of ORCID.
+# Note: For the production instance of ORCID, use: https://orcid.org (default)
+#       For the sandbox instance of ORCID, use: https://sandbox.orcid.org
+ORCID_BASE_URL=https://orcid.org
+
 INFO_BANNER_INNERHTML='Announcement: Something important is about to happen. If you have questions, please contact <a href="mailto:[email protected]">[email protected]</a>.'

demo/metadata_migration/notebooks/migrate_10_5_6_to_10_8_0.ipynb → demo/metadata_migration/notebooks/migrate_10_4_0_to_10_9_1.ipynb

@@ -3,13 +3,13 @@
   {
    "metadata": {},
    "cell_type": "markdown",
-   "source": "# Migrate MongoDB database from `nmdc-schema` `v10.5.6` to `v10.8.0`",
+   "source": "# Migrate MongoDB database from `nmdc-schema` `v10.4.0` to `v10.9.1`",
    "id": "d05efc6327778f9c"
   },
   {
    "metadata": {},
    "cell_type": "markdown",
-   "source": "There are no migrators associated with any schema changes between schema versions `v10.5.6` and `v10.8.0`. So, this notebook is a \"no op\" (i.e. \"no operation\").",
+   "source": "There are no migrators associated with any schema changes between schema versions `v10.4.0` and `v10.9.1`. So, this notebook is a \"no op\" (i.e. \"no operation\").",
    "id": "b99d5924e825b9a2"
   },
   {

demo/metadata_migration/notebooks/migrate_10_8_0_to_11_0_0.ipynb → demo/metadata_migration/notebooks/migrate_10_9_1_to_11_0_0.ipynb

@@ -4,10 +4,13 @@
    "cell_type": "markdown",
    "id": "initial_id",
    "metadata": {
-    "collapsed": true
+    "collapsed": true,
+    "jupyter": {
+     "outputs_hidden": true
+    }
    },
    "source": [
-    "# Migrate MongoDB database from `nmdc-schema` `v10.8.0` to `v11.0.0`"
+    "# Migrate MongoDB database from `nmdc-schema` `v10.9.1` to `v11.0.0`"
    ]
   },
   {
@@ -17,7 +20,7 @@
    "source": [
     "## Introduction\n",
     "\n",
-    "This notebook will be used to migrate the database from `nmdc-schema` `v10.8.0` ([released](https://github.com/microbiomedata/nmdc-schema/releases/tag/v10.8.0) August 21, 2024) to `v11.0.0` (i.e. the initial version of the so-called \"Berkeley schema\").\n",
+    "This notebook will be used to migrate the database from `nmdc-schema` `v10.9.1` ([released](https://github.com/microbiomedata/nmdc-schema/releases/tag/v10.9.1) October 7, 2024) to `v11.0.0` (i.e. the initial version of the so-called \"Berkeley schema\").\n",
     "\n",
     "Unlike previous migrators, this one does not pick and choose which collections it will dump. There are two reasons for this: (1) migrators no longer have a dedicated `self.agenda` dictionary that indicates all the collections involved in the migration; and (2) this migration is the first one that involves creating, renaming, and dropping any collections; none of which are things that the old `self.agenda`-based system was designed to handle. So, instead of picking and choosing collections, this migrator **dumps them all.**"
    ]
@@ -106,12 +109,16 @@
    "cell_type": "code",
    "id": "e25a0af308c3185b",
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    },
+    "scrolled": true
    },
    "source": [
     "%pip install --upgrade pip\n",
     "%pip install -r requirements.txt\n",
-    "%pip install nmdc-schema==11.0.0rc22"
+    "%pip install nmdc-schema==11.0.0"
    ],
    "outputs": [],
    "execution_count": null
@@ -273,7 +280,10 @@
    "cell_type": "markdown",
    "id": "bc387abc62686091",
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "source": [
     "### Create JSON Schema validator\n",
@@ -285,7 +295,10 @@
    "cell_type": "code",
    "id": "5c982eb0c04e606d",
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "source": [
     "nmdc_jsonschema: dict = get_nmdc_jsonschema_dict(variant=SchemaVariantIdentifier.nmdc_materialized_patterns)\n",
@@ -367,23 +380,23 @@
    "execution_count": null
   },
   {
-   "metadata": {},
    "cell_type": "markdown",
+   "id": "7f9c87de6fb8530c",
+   "metadata": {},
    "source": [
     "### Delete obsolete dumps from previous migrations\n",
     "\n",
     "Delete any existing dumps before we create new ones in this notebook. This is so the dumps you generate with this notebook do not get merged with any unrelated ones."
-   ],
-   "id": "7f9c87de6fb8530c"
+   ]
   },
   {
-   "metadata": {},
    "cell_type": "code",
+   "id": "6a949d0fcb4b6fa0",
+   "metadata": {},
    "source": [
     "!rm -rf {cfg.origin_dump_folder_path}\n",
     "!rm -rf {cfg.transformer_dump_folder_path}"
    ],
-   "id": "6a949d0fcb4b6fa0",
    "outputs": [],
    "execution_count": null
   },
@@ -402,7 +415,9 @@
   {
    "cell_type": "code",
    "id": "da530d6754c4f6fe",
-   "metadata": {},
+   "metadata": {
+    "scrolled": true
+   },
    "source": [
     "# Dump all collections from the \"origin\" database.\n",
     "shell_command = f\"\"\"\n",
@@ -435,7 +450,9 @@
   {
    "cell_type": "code",
    "id": "79bd888e82d52a93",
-   "metadata": {},
+   "metadata": {
+    "scrolled": true
+   },
    "source": [
     "# Restore the dumped collections to the \"transformer\" MongoDB server.\n",
     "shell_command = f\"\"\"\n",
@@ -474,7 +491,9 @@
   {
    "cell_type": "code",
    "id": "9c89c9dd3afe64e2",
-   "metadata": {},
+   "metadata": {
+    "scrolled": true
+   },
    "source": [
     "# Instantiate a MongoAdapter bound to the \"transformer\" database.\n",
     "adapter = MongoAdapter(\n",
@@ -524,7 +543,7 @@
     "for collection_name in ordered_collection_names:\n",
     "    collection = transformer_mongo_client[\"nmdc\"][collection_name]\n",
     "    num_documents_in_collection = collection.count_documents({})\n",
-    "    print(f\"Validating collection {collection_name} ({num_documents_in_collection} documents)\")\n",
+    "    print(f\"Validating collection {collection_name} ({num_documents_in_collection} documents)\", end=\"\\t\")  # no newline\n",
     "\n",
     "    for document in collection.find():\n",
     "        # Validate the transformed document.\n",
@@ -541,7 +560,9 @@
     "        #\n",
     "        document_without_underscore_id_key = {key: value for key, value in document.items() if key != \"_id\"}\n",
     "        root_to_validate = dict([(collection_name, [document_without_underscore_id_key])])\n",
-    "        nmdc_jsonschema_validator.validate(root_to_validate)  # raises exception if invalid"
+    "        nmdc_jsonschema_validator.validate(root_to_validate)  # raises exception if invalid\n",
+    "\n",
+    "    print(f\"Done\")"
    ],
    "outputs": [],
    "execution_count": null
@@ -559,7 +580,9 @@
   {
    "cell_type": "code",
    "id": "db6e432d",
-   "metadata": {},
+   "metadata": {
+    "scrolled": true
+   },
    "source": [
     "# Dump the database from the \"transformer\" MongoDB server.\n",
     "shell_command = f\"\"\"\n",
@@ -583,7 +606,10 @@
    "cell_type": "markdown",
    "id": "997fcb281d9d3222",
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "source": [
     "### Create a bookkeeper\n",
@@ -664,7 +690,9 @@
   {
    "cell_type": "code",
    "id": "1dfbcf0a",
-   "metadata": {},
+   "metadata": {
+    "scrolled": true
+   },
    "source": [
     "# Load the transformed collections into the origin server, replacing any same-named ones that are there.\n",
     "shell_command = f\"\"\"\n",
@@ -691,7 +719,10 @@
    "cell_type": "markdown",
    "id": "ca5ee89a79148499",
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "source": [
     "### Indicate that the migration is complete\n",
@@ -703,7 +734,10 @@
    "cell_type": "code",
    "id": "d1eaa6c92789c4f3",
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "source": [
     "bookkeeper.record_migration_event(migrator=migrator, event=MigrationEvent.MIGRATION_COMPLETED)"
@@ -740,11 +774,19 @@
    ],
    "outputs": [],
    "execution_count": null
+  },
+  {
+   "cell_type": "code",
+   "id": "037db214-ea76-46bf-bb6a-bf1ff9b28a72",
+   "metadata": {},
+   "source": [],
+   "outputs": [],
+   "execution_count": null
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },