ManagedkdbInsights/boto/get_connectionstrings.ipynb (130 lines of code) (raw):

{ "cells": [ { "cell_type": "markdown", "id": "28bea13b-67bd-4a0e-8eab-3b8ffd37259e", "metadata": {}, "source": [ "# TAQ: Connection Strings\n", "Get the Connection strings Clusters" ] }, { "cell_type": "code", "execution_count": null, "id": "0d5f1d4a-ed45-44e3-bf75-9bdb75fcddbb", "metadata": { "tags": [] }, "outputs": [], "source": [ "import os\n", "import boto3\n", "import json\n", "import datetime\n", "\n", "from managed_kx import *\n", "from env import *\n", "\n", "CLUSTER_NAMES=[ \n", " \"cluster_welcomedb\",\n", "]" ] }, { "cell_type": "code", "execution_count": null, "id": "3cfe7d89-9f5d-4ceb-ac8c-1f5054a6f15a", "metadata": { "tags": [] }, "outputs": [], "source": [ "# Using credentials and create service client\n", "session = boto3.Session()\n", "\n", "# create finspace client\n", "client = session.client(service_name='finspace')" ] }, { "cell_type": "code", "execution_count": null, "id": "1d9b2d5a-19e9-44f9-8c38-ee8600453e87", "metadata": { "tags": [] }, "outputs": [], "source": [ "# get the connection strings\n", "conns = {}\n", "\n", "for c in CLUSTER_NAMES:\n", " try:\n", " conn_str = get_kx_connection_string(client, environmentId=ENV_ID, clusterName=c, userName=KDB_USERNAME, boto_session=session)\n", " conns[c] = conn_str\n", " except:\n", " continue" ] }, { "cell_type": "code", "execution_count": null, "id": "1a9a896d-466e-4321-86c4-a54e76d7997a", "metadata": { "tags": [] }, "outputs": [], "source": [ "print(\"Paste below into q \"+\"=\"*80)\n", "\n", "for cluster, conn_str in conns.items():\n", " print(f\"\"\"\n", "/ Cluster: {cluster}\n", "hdb_conn:\"{conn_str}\"\n", "\"\"\")" ] }, { "cell_type": "code", "execution_count": null, "id": "86f33240-bb12-49f3-8d9c-5783c25eb182", "metadata": { "tags": [] }, "outputs": [], "source": [ "print( f\"Last Run: {datetime.datetime.now()}\" )" ] }, { "cell_type": "code", "execution_count": null, "id": "d71daf7b-510b-4c0d-b285-360eb1c19533", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "conda_python3", "language": "python", "name": "conda_python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.15" } }, "nbformat": 4, "nbformat_minor": 5 }