genai-on-vertex-ai/developer_productivity_with_genai/6_codey_talk_to_code_JIRA_doc_example.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "L4n0EniyMrqJ"
   },
   "outputs": [],
   "source": [
    "# Copyright 2023 Google LLC\n",
    "#\n",
    "# Licensed under the Apache License, Version 2.0 (the \"License\");\n",
    "# you may not use this file except in compliance with the License.\n",
    "# You may obtain a copy of the License at\n",
    "#\n",
    "#     https://www.apache.org/licenses/LICENSE-2.0\n",
    "#\n",
    "# Unless required by applicable law or agreed to in writing, software\n",
    "# distributed under the License is distributed on an \"AS IS\" BASIS,\n",
    "# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
    "# See the License for the specific language governing permissions and\n",
    "# limitations under the License."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "mshlcMcf0wKQ"
   },
   "source": [
    "| | |\n",
    "|----------|-------------|\n",
    "| Author(s)   | Lei Pan |\n",
    "| Last updated | 11/12/2023 |"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "U_r0sJsRBurV"
   },
   "source": [
    "# Talk to Codebase, JIRA and Docs via Codey, Matching Engine, Vertex AI Search and RAG\n",
    "\n",
    "Codey models are text-to-code models from Google AI, trained on a massive code related dataset. You can generate code related responses for different scenarios such as writing functions, unit tests, debugging, explaining code etc. Here is [the overview](https://cloud.google.com/vertex-ai/docs/generative-ai/code/code-models-overview) of all the Codey APIs.\n",
    "\n",
    "In this notebook, we will show you how to chat with your codebase, JIRA, documents through RAG (Codey is generator and codebase embeddings in Vertex matching engine, doc search engine, JIRA search engine are retrievers).\n",
    "\n",
    "If you are not familiar with RAG, you can read [this paper](https://arxiv.org/pdf/2005.11401.pdf)\n",
    "\n",
    "- Step 1: Set up codebase chat retriever\n",
    "- Step 2: Set up doc search retriever\n",
    "- Step 3: Set up JIRA search retriever\n",
    "- Step 4: Dynamicially select from 3 retrievers with RouterChain paradigm"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "P5dc0isymIp1"
   },
   "source": [
    "![Screenshot 2023-11-26 at 11.04.39 PM.png](data:image/png;base64,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)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "c6441fcb-b334-45fd-bcdf-7dfdc55ebde5"
   },
   "source": [
    "## Prep Work\n",
    "\n",
    "\n",
    "\n",
    "### Install Vertex AI SDK, other packages and their dependencies\n",
    "\n",
    "Install the following packages required to execute this notebook.\n",
    "\n",
    "*To use the newly installed packages in this Jupyter runtime, you must restart the runtime. You can do this by running the cell below, which will restart the current kernel."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "ohPUPez8imvE",
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Install Vertex AI LLM SDK\n",
    "! pip install --user --upgrade google-cloud-aiplatform==1.35.0 langchain==0.0.323\n",
    "\n",
    "# Dependencies required by Unstructured PDF loader\n",
    "! sudo apt -y -qq install tesseract-ocr libtesseract-dev\n",
    "! sudo apt-get -y -qq install poppler-utils\n",
    "! pip install --user unstructured==0.7.5 pdf2image==1.16.3 pytesseract==0.3.10 pdfminer.six==20221105\n",
    "\n",
    "# For Matching Engine integration dependencies (default embeddings)\n",
    "! pip install --user tensorflow_hub==0.13.0 tensorflow_text==2.12.1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "hAo58ew8y20i"
   },
   "outputs": [],
   "source": [
    "!pip install google-cloud-discoveryengine"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "091623cb7113"
   },
   "source": [
    "#### Restart current runtime\n",
    "\n",
    "To use the newly installed packages in this Jupyter runtime, you must restart the runtime. You can do this by running the cell below, which will restart the current kernel."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "f954320dc5e1",
    "outputId": "e7846fb7-a14e-4eff-bc6b-5a9bdbbbcb40"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'status': 'ok', 'restart': True}"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Automatically restart kernel after installs so that your environment can access the new packages\n",
    "import IPython\n",
    "\n",
    "app = IPython.Application.instance()\n",
    "app.kernel.do_shutdown(True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "c1cwBg0DQjxp"
   },
   "source": [
    "<div class=\"alert alert-block alert-warning\">\n",
    "<b>⚠️ Before proceeding, please wait for the kernel to finish restarting ⚠️</b>\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "B-mPnZJdiwkg"
   },
   "source": [
    "### Authenticating your notebook environment\n",
    "If you are using Colab, you will need to authenticate yourself first. The next cell will check if you are currently using Colab, and will start the authentication process.\n",
    "\n",
    "If you are using Vertex AI Workbench, you will not require additional authentication.\n",
    "\n",
    "For more information, you can check out the setup instructions [here](https://github.com/GoogleCloudPlatform/generative-ai/tree/main/setup-env)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "5ee2f9e7c503"
   },
   "outputs": [],
   "source": [
    "import sys\n",
    "\n",
    "if \"google.colab\" in sys.modules:\n",
    "    from google.colab import auth as google_auth\n",
    "\n",
    "    google_auth.authenticate_user()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "HFauibCKkc0Y"
   },
   "source": [
    "### Download custom Python modules and utilities"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "5EiCwQMcQjxq"
   },
   "source": [
    "The cell below will download some helper functions needed for using [Vertex AI Matching Engine](https://cloud.google.com/vertex-ai/docs/matching-engine/overview) in this notebook. These helper functions were created to keep this notebook more tidy and concise, and you can also [view them directly on Github](https://github.com/GoogleCloudPlatform/generative-ai/tree/main/language/use-cases/document-qa/utils)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "PC-2rYB0kc0Y"
   },
   "outputs": [],
   "source": [
    "import os\n",
    "import urllib.request\n",
    "\n",
    "if not os.path.exists(\"utils\"):\n",
    "    os.makedirs(\"utils\")\n",
    "\n",
    "url_prefix = \"https://raw.githubusercontent.com/GoogleCloudPlatform/generative-ai/main/language/use-cases/document-qa/utils\"\n",
    "files = [\"__init__.py\", \"matching_engine.py\", \"matching_engine_utils.py\"]\n",
    "\n",
    "for fname in files:\n",
    "    urllib.request.urlretrieve(f\"{url_prefix}/{fname}\", filename=f\"utils/{fname}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "09720c707f1c"
   },
   "source": [
    "### Import libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "BfgKzyTg7Lzh",
    "outputId": "cd1087a2-d423-4082-e49a-9c1eb1b09939"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Vertex AI SDK version: 1.35.0\n",
      "LangChain version: 0.0.323\n"
     ]
    }
   ],
   "source": [
    "import json\n",
    "import textwrap\n",
    "\n",
    "# Utils\n",
    "import time\n",
    "import uuid\n",
    "from typing import List\n",
    "\n",
    "import numpy as np\n",
    "import vertexai\n",
    "\n",
    "# Vertex AI\n",
    "from google.cloud import aiplatform\n",
    "\n",
    "print(f\"Vertex AI SDK version: {aiplatform.__version__}\")\n",
    "\n",
    "# LangChain\n",
    "import langchain\n",
    "\n",
    "print(f\"LangChain version: {langchain.__version__}\")\n",
    "\n",
    "from langchain.chains import RetrievalQA\n",
    "from langchain.document_loaders import GCSDirectoryLoader\n",
    "from langchain.embeddings import VertexAIEmbeddings\n",
    "from langchain.llms import VertexAI\n",
    "from langchain.prompts import PromptTemplate\n",
    "from langchain.text_splitter import RecursiveCharacterTextSplitter\n",
    "from pydantic import BaseModel\n",
    "\n",
    "# Import custom Matching Engine packages\n",
    "from utils.matching_engine import MatchingEngine\n",
    "from utils.matching_engine_utils import MatchingEngineUtils"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "fd69c1773887"
   },
   "outputs": [],
   "source": [
    "PROJECT_ID = \"<project id>\"\n",
    "REGION = \"<location>\"\n",
    "\n",
    "# Initialize Vertex AI SDK\n",
    "vertexai.init(project=PROJECT_ID, location=REGION)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "QPucWYxwO0ep"
   },
   "source": [
    "Next you will define some utility functions that you will use for the Vertex AI Embeddings API"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "CZllkRptjWDN"
   },
   "outputs": [],
   "source": [
    "# Utility functions for Embeddings API with rate limiting\n",
    "def rate_limit(max_per_minute):\n",
    "    period = 60 / max_per_minute\n",
    "    print(\"Waiting\")\n",
    "    while True:\n",
    "        before = time.time()\n",
    "        yield\n",
    "        after = time.time()\n",
    "        elapsed = after - before\n",
    "        sleep_time = max(0, period - elapsed)\n",
    "        if sleep_time > 0:\n",
    "            print(\".\", end=\"\")\n",
    "            time.sleep(sleep_time)\n",
    "\n",
    "\n",
    "class CustomVertexAIEmbeddings(VertexAIEmbeddings, BaseModel):\n",
    "    requests_per_minute: int\n",
    "    num_instances_per_batch: int\n",
    "\n",
    "    # Overriding embed_documents method\n",
    "    def embed_documents(self, texts: List[str]):\n",
    "        limiter = rate_limit(self.requests_per_minute)\n",
    "        results = []\n",
    "        docs = list(texts)\n",
    "\n",
    "        while docs:\n",
    "            # Working in batches because the API accepts maximum 5\n",
    "            # documents per request to get embeddings\n",
    "            head, docs = (\n",
    "                docs[: self.num_instances_per_batch],\n",
    "                docs[self.num_instances_per_batch :],\n",
    "            )\n",
    "            chunk = self.client.get_embeddings(head)\n",
    "            results.extend(chunk)\n",
    "            next(limiter)\n",
    "\n",
    "        return [r.values for r in results]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "3edb33f6-1d81-4e39-a8d6-9c36644f19bb"
   },
   "source": [
    "### Initialize LangChain Models\n",
    "\n",
    "You initialize LangChain Models with the pre-trained text, chat and embeddings generation model called code generation model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "eVpPcvsrkzCk"
   },
   "outputs": [],
   "source": [
    "# Text model instance integrated with langChain\n",
    "llm = VertexAI(\n",
    "    model_name=\"code-bison\",\n",
    "    max_output_tokens=1024,\n",
    "    temperature=0.2\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "nrS0x5KiSI9e"
   },
   "source": [
    "## Step 1: Set Up Codebase Chat Retriever"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "66e0493f-deae-4a53-ae1f-b7eb8fc1c50d"
   },
   "source": [
    "#### Configure Matching Engine as Vector Store"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "6f828e1e-15ff-4030-8399-b07caa04c2bf"
   },
   "source": [
    "Get Matching Engine Index id and Endpoint id"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "MFhhpyVfNoce"
   },
   "source": [
    "If you haven't set up codebase in the vector store, please run this notebook to set it up: 5_codey_talk_to_codebase_example.ipynb. [github link](https://github.com/GoogleCloudPlatform/applied-ai-engineering-samples/tree/main/genai-on-vertex-ai/developer_productivity_with_genai/5_codey_talk_to_codebase_example.ipynb)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "S2dWhAU-SVHu"
   },
   "outputs": [],
   "source": [
    "# Embeddings API integrated with langChain\n",
    "EMBEDDING_QPM = 100\n",
    "EMBEDDING_NUM_BATCH = 5\n",
    "embeddings = CustomVertexAIEmbeddings(\n",
    "    requests_per_minute=EMBEDDING_QPM,\n",
    "    num_instances_per_batch=EMBEDDING_NUM_BATCH,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "nJdKiKrlST88"
   },
   "outputs": [],
   "source": [
    "ME_REGION = \"<location>\"\n",
    "ME_INDEX_NAME = f\"{PROJECT_ID}-me-index\"\n",
    "ME_EMBEDDING_DIR = f\"{PROJECT_ID}-me-bucket\"\n",
    "ME_DIMENSIONS = 768  # when using Vertex PaLM Embedding"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "ptN4NiBWQKF_"
   },
   "outputs": [],
   "source": [
    "mengine = MatchingEngineUtils(PROJECT_ID, ME_REGION, ME_INDEX_NAME)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "1aab5c2a",
    "outputId": "b957152b-d646-4c88-ccb2-5048e563822b"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ME_INDEX_ID=projects/656421903914/locations/us-central1/indexes/8850844303224733696\n",
      "ME_INDEX_ENDPOINT_ID=projects/656421903914/locations/us-central1/indexEndpoints/8413432189416374272\n"
     ]
    }
   ],
   "source": [
    "ME_INDEX_ID, ME_INDEX_ENDPOINT_ID = mengine.get_index_and_endpoint()\n",
    "print(f\"ME_INDEX_ID={ME_INDEX_ID}\")\n",
    "print(f\"ME_INDEX_ENDPOINT_ID={ME_INDEX_ENDPOINT_ID}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "8ee88a89-a8ff-40c4-bd9a-fe46e6dd40b4"
   },
   "source": [
    "Initialize Matching Engine vector store with text embeddings model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "7125956a"
   },
   "outputs": [],
   "source": [
    "# initialize vector store\n",
    "me = MatchingEngine.from_components(\n",
    "    project_id=PROJECT_ID,\n",
    "    region=ME_REGION,\n",
    "    gcs_bucket_name=f\"gs://{ME_EMBEDDING_DIR}\".split(\"/\")[2],\n",
    "    embedding=embeddings,\n",
    "    index_id=ME_INDEX_ID,\n",
    "    endpoint_id=ME_INDEX_ENDPOINT_ID,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "-pml5RCA9EaT"
   },
   "source": [
    "#### Codebase Search Retriever (Bank of Anthos)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "idPCtglm9DgK"
   },
   "outputs": [],
   "source": [
    "code_retriever = me.as_retriever(\n",
    "    search_type=\"similarity\",\n",
    "    search_kwargs={\n",
    "        \"k\": NUMBER_OF_RESULTS,\n",
    "        \"search_distance\": SEARCH_DISTANCE_THRESHOLD,\n",
    "    },\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "3QXrfsoUSvc8"
   },
   "source": [
    "## Step 2: Doc Search Retriever (Coding Style Guides)\n",
    "\n",
    "You need to ingest coding style pdfs to a Vertex AI search engine before you run the step below. This is how you build it.\n",
    "\n",
    "- Public doc: [how to set up unstructured data store in vertex ai search](https://cloud.google.com/generative-ai-app-builder/docs/create-data-store-es#cloud-storage)\n",
    "- For PDFs: download those [PDFs](https://github.com/GoogleCloudPlatform/applied-ai-engineering-samples/tree/main/genai-on-vertex-ai/developer_productivity_with_genai/pdfs) and upload them to vertex AI search engine datastore.\n",
    "- Once you set the datastore up, you will find the search engine id in the Data Stores UI. Use that id to set up SEARCH_ENGINE_ID below.\n",
    "![Screenshot 2024-01-18 at 12.28.05 AM.png](data:image/png;base64,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)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "JCRGCE6CSzNy"
   },
   "outputs": [],
   "source": [
    "from langchain.retrievers import GoogleVertexAISearchRetriever\n",
    "\n",
    "SEARCH_ENGINE_ID = \"<search engine id>\"\n",
    "\n",
    "doc_retriever=GoogleVertexAISearchRetriever(\n",
    "    project_id=PROJECT_ID,\n",
    "    search_engine_id=SEARCH_ENGINE_ID,\n",
    "    max_documents=3,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "KXLs_9m5S02Y"
   },
   "source": [
    "## Step 3: JIRA Retriever\n",
    "\n",
    "\n",
    "You need to index JIRA website links in a Vertex AI search engine before you run the step below. This is how you build it.\n",
    "\n",
    "- Public doc: [how to set up website indexes data store in vertex ai search](https://cloud.google.com/generative-ai-app-builder/docs/create-data-store-es#website)\n",
    "- For JIRA website links: you can use this link - \"issues.apache.org/jira/projects/FLINK/issues/*\" and set it in the vertex AI search engine datastore.\n",
    "- Once you set the datastore up, you will find the search engine id in the Data Stores UI. Use that id to set up SEARCH_ENGINE_ID below.\n",
    "\n",
    "In the future, when JIRA connector for Vertex AI Search is GA, you can follow [this doc](https://cloud.google.com/generative-ai-app-builder/docs/create-data-store-es#jira) to do it in a different way."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "KavStloSSz33"
   },
   "outputs": [],
   "source": [
    "SEARCH_ENGINE_ID = \"search engine id\"\n",
    "\n",
    "jira_retriever=GoogleVertexAISearchRetriever(\n",
    "    project_id=PROJECT_ID,\n",
    "    search_engine_id=SEARCH_ENGINE_ID,\n",
    "    max_documents=3,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "i8LlAZWYS66U"
   },
   "source": [
    "## Step 4 - Dynamically Select from 3 Retrievers with RouterChain paradigm\n",
    "\n",
    "You can dymanically talk to multiple retrievers by using MultiRetrievalQAChain. You can read more about it from [this langchain doc](https://js.langchain.com/docs/modules/chains/additional/multi_retrieval_qa_router)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "Yby_DK4RTOdH"
   },
   "outputs": [],
   "source": [
    "from langchain.chains.router import MultiRetrievalQAChain"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "TRzBdQ2ZToDq"
   },
   "outputs": [],
   "source": [
    "retriever_infos = [\n",
    "    {\n",
    "        \"name\": \"codebase search\",\n",
    "        \"description\": \"Good for answering questions about the code in the codebase\",\n",
    "        \"retriever\": code_retriever\n",
    "    },\n",
    "    {\n",
    "        \"name\": \"coding style guide\",\n",
    "        \"description\": \"Good for answering questions about coding styles such as python coding styles, java coding styles, c++ coding styles, etc\",\n",
    "        \"retriever\": doc_retriever\n",
    "    },\n",
    "    {\n",
    "        \"name\": \"jira issues search\",\n",
    "        \"description\": \"Good for answering questions about jira issues\",\n",
    "        \"retriever\": jira_retriever\n",
    "    }\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "162uRSLN3gGr"
   },
   "outputs": [],
   "source": [
    "from langchain.chains import ConversationChain\n",
    "\n",
    "DEFAULT_TEMPLATE = \"\"\"The following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know.\n",
    "\n",
    "Current conversation:\n",
    "{history}\n",
    "Human: {input}\n",
    "AI:\"\"\"\n",
    "\n",
    "prompt_default_template = DEFAULT_TEMPLATE.replace('input', 'query')\n",
    "\n",
    "prompt_default = PromptTemplate(\n",
    "    template=prompt_default_template, input_variables=['history', 'query']\n",
    ")\n",
    "default_chain=ConversationChain(llm=llm, prompt=prompt_default, input_key='query', output_key='result')\n",
    "\n",
    "chain = MultiRetrievalQAChain.from_retrievers(llm, retriever_infos, default_chain=default_chain)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "DucT82z00X0x"
   },
   "source": [
    "### Sanity Check"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 90
    },
    "id": "qQCXmd2-lDGn",
    "outputId": "0e8f6416-3201-4362-f5be-c200fce8cbb4"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/root/.local/lib/python3.10/site-packages/langchain/chains/llm.py:280: UserWarning: The predict_and_parse method is deprecated, instead pass an output parser directly to LLMChain.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "application/vnd.google.colaboratory.intrinsic+json": {
       "type": "string"
      },
      "text/plain": [
       "' Hello. How may I assist you today?\\n'"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "chain('hi')['result']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "t6P4XGbX0a0t"
   },
   "source": [
    "### Talk to 3 Retrievers - Codebase, JIRA, and Coding Style PDFs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 281
    },
    "id": "c60MZrYTTrPH",
    "outputId": "8c73d608-8075-48ea-d010-0918f35e0ee0"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/root/.local/lib/python3.10/site-packages/langchain/chains/llm.py:280: UserWarning: The predict_and_parse method is deprecated, instead pass an output parser directly to LLMChain.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Waiting\n"
     ]
    },
    {
     "data": {
      "application/vnd.google.colaboratory.intrinsic+json": {
       "type": "string"
      },
      "text/plain": [
       "' The CI/CD pipeline for Bank of Anthos uses Cloud Build and Cloud Deploy, with the help of Terraform, Skaffold, and Kustomize. \\n\\nThe pipeline includes: \\n* Terraform scripts for all Google Cloud resources\\n* 3 GKE Autopilot clusters in a fleet\\n* 1 Cloud Build trigger for GitHub PRs\\n* 6 Cloud Build triggers for staging (1 per service)\\n* 2 Cloud SQL databases (1 for staging, 1 for production)\\n* 2-stage Cloud Deploy pipelines (staging and production)\\n* Anthos Config Management set-up for staging and production\\n* Anthos Service Mesh set-up for staging and production\\n* Artifact Registry repository for container images\\n* Cloud Storage bucket for Terraform state\\n* Cloud Storage bucket for ledger monolith artifacts\\n* IAM bindings and service accounts\\n\\nThe pipeline results in:\\n* CI per service with Skaffold profile per environment\\n* CD per service with Skaffold profile per environment\\n\\nThe development environment includes:\\n* GKE Autopilot (one namespace per deployment)\\n* ACM for base setup\\n* In-cluster databases\\n* Deployed from Cloud Build\\n\\nThe staging environment includes:\\n* GKE Autopilot\\n* Anthos Config Management for base setup\\n* Anthos Service Mesh (namespace: bank-of-anthos-staging)\\n* Cloud SQL database\\n* Deployed from Cloud Deploy\\n\\nThe production environment includes:\\n* GKE Autopilot\\n* ACM for base setup\\n* Anthos Service Mesh (namespace: bank-of-anthos-production)\\n* Cloud SQL database\\n* Deployed from Cloud Deploy\\n\\nKustomize components and Skaffold profiles are used to keep the pipeline DRY. Minimal service account permissions are used, and the Cloud Foundation Toolkit for GKE is used.'"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "chain(\"how does CI/CD pipeline that powers Bank of Anthos work?\")['result']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 107
    },
    "id": "bWq4SnwATsj_",
    "outputId": "7a4b4794-ae1d-478b-9d86-0c7cd10682f2"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/root/.local/lib/python3.10/site-packages/langchain/chains/llm.py:280: UserWarning: The predict_and_parse method is deprecated, instead pass an output parser directly to LLMChain.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "application/vnd.google.colaboratory.intrinsic+json": {
       "type": "string"
      },
      "text/plain": [
       "' The best Java style is the Google Java style. It emphasizes readability and maintainability. You can find more information about it here: https://google.github.io/styleguide/javaguide.html'"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "chain(\"Tell me more about the best java style according to the java coding style guide.\")['result']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 107
    },
    "id": "d9J0DhbWTuQE",
    "outputId": "c26af8fc-d613-4180-9fa9-f0fef494a638"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/root/.local/lib/python3.10/site-packages/langchain/chains/llm.py:280: UserWarning: The predict_and_parse method is deprecated, instead pass an output parser directly to LLMChain.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "application/vnd.google.colaboratory.intrinsic+json": {
       "type": "string"
      },
      "text/plain": [
       "\" The top 2 Flink issues in JIRA are:\\n1. [FLINK-26173] - Flink's checkpointing mechanism can lead to data loss in certain scenarios\\n2. [FLINK-25934] - Flink's resource management can lead to performance degradation in certain scenarios\""
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "chain(\"What are the top 2 flink issues in JIRA?\")['result']"
   ]
  }
 ],
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