Update Quickstart notebook with API changes introduced in 83316b2 (#239)

notebooks/1-Quickstart.ipynb

@@ -138,7 +138,7 @@
    "source": [
     "def upload_files(\n",
     "    file_directory: str,\n",
-    "    storage_name: str,\n",
+    "    container_name: str,\n",
     "    batch_size: int = 100,\n",
     "    overwrite: bool = True,\n",
     "    max_retries: int = 5,\n",
@@ -147,10 +147,10 @@
     "    Upload files to a blob storage container.\n",
     "\n",
     "    Args:\n",
-    "    file_directory - a local directory of .txt files to upload. All files must have utf-8 encoding.\n",
-    "    storage_name - a unique name for the Azure storage blob container.\n",
+    "    file_directory - a local directory of .txt files to upload. All files must be in utf-8 encoding.\n",
+    "    container_name - a unique name for the Azure storage container.\n",
     "    batch_size - the number of files to upload in a single batch.\n",
-    "    overwrite - whether or not to overwrite files if they already exist in the storage blob container.\n",
+    "    overwrite - whether or not to overwrite files if they already exist in the storage container.\n",
     "    max_retries - the maximum number of times to retry uploading a batch of files if the API is busy.\n",
     "\n",
     "    NOTE: Uploading files may sometimes fail if the blob container was recently deleted\n",
@@ -159,13 +159,13 @@
     "    url = endpoint + \"/data\"\n",
     "\n",
     "    def upload_batch(\n",
-    "        files: list, storage_name: str, overwrite: bool, max_retries: int\n",
+    "        files: list, container_name: str, overwrite: bool, max_retries: int\n",
     "    ) -> requests.Response:\n",
     "        for _ in range(max_retries):\n",
     "            response = requests.post(\n",
     "                url=url,\n",
     "                files=files,\n",
-    "                params={\"storage_name\": storage_name, \"overwrite\": overwrite},\n",
+    "                params={\"container_name\": container_name, \"overwrite\": overwrite},\n",
     "                headers=headers,\n",
     "            )\n",
     "            # API may be busy, retry\n",
@@ -194,20 +194,20 @@
     "        )\n",
     "        # upload batch of files\n",
     "        if len(batch_files) == batch_size:\n",
-    "            response = upload_batch(batch_files, storage_name, overwrite, max_retries)\n",
+    "            response = upload_batch(batch_files, container_name, overwrite, max_retries)\n",
     "            # if response is not ok, return early\n",
     "            if not response.ok:\n",
     "                return response\n",
     "            batch_files.clear()\n",
     "    # upload remaining files\n",
     "    if len(batch_files) > 0:\n",
-    "        response = upload_batch(batch_files, storage_name, overwrite, max_retries)\n",
+    "        response = upload_batch(batch_files, container_name, overwrite, max_retries)\n",
     "    return response\n",
     "\n",
     "\n",
     "response = upload_files(\n",
     "    file_directory=file_directory,\n",
-    "    storage_name=storage_name,\n",
+    "    container_name=storage_name,\n",
     "    batch_size=100,\n",
     "    overwrite=True,\n",
     ")\n",
@@ -240,8 +240,14 @@
     "    This function kicks off a job that builds a knowledge graph index from files located in a blob storage container.\n",
     "    \"\"\"\n",
     "    url = endpoint + \"/index\"\n",
-    "    request = {\"storage_name\": storage_name, \"index_name\": index_name}\n",
-    "    return requests.post(url, params=request, headers=headers)\n",
+    "    return requests.post(\n",
+    "        url,\n",
+    "        params={\n",
+    "            \"index_container_name\": index_name,\n",
+    "            \"storage_container_name\": storage_name,\n",
+    "        },\n",
+    "        headers=headers,\n",
+    "    )\n",
     "\n",
     "\n",
     "response = build_index(storage_name=storage_name, index_name=index_name)\n",