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chore: delete the connection requirement in llm notebooks #330

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Jan 19, 2024
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chore: delete the connection requirement in llm notebooks #330

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83 changes: 2 additions & 81 deletions notebooks/generative_ai/bq_dataframes_llm_code_generation.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -370,83 +370,6 @@
"This section walks through a few steps required in order to use the model in your notebook."
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "rS4VO1TGiO4G"
},
"source": [
"## Create a BigQuery Cloud resource connection\n",
"\n",
"You need to create a [Cloud resource connection](https://cloud.google.com/bigquery/docs/create-cloud-resource-connection) to enable BigQuery DataFrames to interact with Vertex AI services."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "KFPjDM4LVh96"
},
"outputs": [],
"source": [
"CONN_NAME = \"bqdf-llm\"\n",
"\n",
"client = bq_connection.ConnectionServiceClient()\n",
"new_conn_parent = f\"projects/{PROJECT_ID}/locations/{REGION}\"\n",
"exists_conn_parent = f\"projects/{PROJECT_ID}/locations/{REGION}/connections/{CONN_NAME}\"\n",
"cloud_resource_properties = bq_connection.CloudResourceProperties({})\n",
"\n",
"try:\n",
" request = client.get_connection(\n",
" request=bq_connection.GetConnectionRequest(name=exists_conn_parent)\n",
" )\n",
" CONN_SERVICE_ACCOUNT = f\"serviceAccount:{request.cloud_resource.service_account_id}\"\n",
"except Exception:\n",
" connection = bq_connection.types.Connection(\n",
" {\"friendly_name\": CONN_NAME, \"cloud_resource\": cloud_resource_properties}\n",
" )\n",
" request = bq_connection.CreateConnectionRequest(\n",
" {\n",
" \"parent\": new_conn_parent,\n",
" \"connection_id\": CONN_NAME,\n",
" \"connection\": connection,\n",
" }\n",
" )\n",
" response = client.create_connection(request)\n",
" CONN_SERVICE_ACCOUNT = (\n",
" f\"serviceAccount:{response.cloud_resource.service_account_id}\"\n",
" )\n",
"print(CONN_SERVICE_ACCOUNT)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "W6l6Ol2biU9h"
},
"source": [
"## Set permissions for the service account\n",
"\n",
"The resource connection service account requires certain project-level permissions:\n",
" - `roles/aiplatform.user` and `roles/bigquery.connectionUser`: These roles are required for the connection to create a model definition using the LLM model in Vertex AI ([documentation](https://cloud.google.com/bigquery/docs/generate-text#give_the_service_account_access)).\n",
" - `roles/run.invoker`: This role is required for the connection to have read-only access to Cloud Run services that back custom/remote functions ([documentation](https://cloud.google.com/bigquery/docs/remote-functions#grant_permission_on_function)).\n",
"\n",
"Set these permissions by running the following `gcloud` commands:"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "d8wja24SVq6s"
},
"outputs": [],
"source": [
"!gcloud projects add-iam-policy-binding {PROJECT_ID} --condition=None --no-user-output-enabled --member={CONN_SERVICE_ACCOUNT} --role='roles/bigquery.connectionUser'\n",
"!gcloud projects add-iam-policy-binding {PROJECT_ID} --condition=None --no-user-output-enabled --member={CONN_SERVICE_ACCOUNT} --role='roles/aiplatform.user'\n",
"!gcloud projects add-iam-policy-binding {PROJECT_ID} --condition=None --no-user-output-enabled --member={CONN_SERVICE_ACCOUNT} --role='roles/run.invoker'"
]
},
{
"cell_type": "markdown",
"metadata": {
Expand All @@ -468,9 +391,7 @@
"source": [
"from bigframes.ml.llm import PaLM2TextGenerator\n",
"\n",
"session = bf.get_global_session()\n",
"connection = f\"{PROJECT_ID}.{REGION}.{CONN_NAME}\"\n",
"model = PaLM2TextGenerator(session=session, connection_name=connection)"
"model = PaLM2TextGenerator()"
]
},
{
Expand Down Expand Up @@ -651,7 +572,7 @@
},
"outputs": [],
"source": [
"@bf.remote_function([str], str, bigquery_connection=CONN_NAME)\n",
"@bf.remote_function([str], str)\n",
"def extract_code(text: str):\n",
" try:\n",
" res = text[text.find('\\n')+1:text.find('```', 3)]\n",
Expand Down