hw1.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "662a5127-606c-4fa3-8338-73b477981bc8",
   "metadata": {},
   "outputs": [],
   "source": [
    "import requests\n",
    "from elasticsearch import Elasticsearch\n",
    "from tqdm.auto import tqdm\n",
    "import tiktoken"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a5a30f13-d9e4-46a8-a11a-d8e368c336df",
   "metadata": {},
   "source": [
    "Q1. Running Elastic"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "af8ffed6-c07c-4911-bbb8-389e347aabec",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{\n",
      "  \"name\" : \"bb12a8be79b3\",\n",
      "  \"cluster_name\" : \"docker-cluster\",\n",
      "  \"cluster_uuid\" : \"mbfsV-YQT5CiB0_VJg412w\",\n",
      "  \"version\" : {\n",
      "    \"number\" : \"8.4.3\",\n",
      "    \"build_flavor\" : \"default\",\n",
      "    \"build_type\" : \"docker\",\n",
      "    \"build_hash\" : \"42f05b9372a9a4a470db3b52817899b99a76ee73\",\n",
      "    \"build_date\" : \"2022-10-04T07:17:24.662462378Z\",\n",
      "    \"build_snapshot\" : false,\n",
      "    \"lucene_version\" : \"9.3.0\",\n",
      "    \"minimum_wire_compatibility_version\" : \"7.17.0\",\n",
      "    \"minimum_index_compatibility_version\" : \"7.0.0\"\n",
      "  },\n",
      "  \"tagline\" : \"You Know, for Search\"\n",
      "}\n"
     ]
    }
   ],
   "source": [
    "!curl localhost:9200"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f7e81a7d-c2a9-4639-8b4c-c3349c145b9e",
   "metadata": {},
   "source": [
    "What's the version.build_hash value?  42f05b9372a9a4a470db3b52817899b99a76ee73"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5c9fcccf-1ba0-4c03-a959-4f73224f53e9",
   "metadata": {},
   "source": [
    "Getting the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "492253ce-41ee-44cc-85ec-142c8c3db0af",
   "metadata": {},
   "outputs": [],
   "source": [
    "docs_url = 'https://github.com/DataTalksClub/llm-zoomcamp/blob/main/01-intro/documents.json?raw=1'\n",
    "docs_response = requests.get(docs_url)\n",
    "documents_raw = docs_response.json()\n",
    "\n",
    "documents = []\n",
    "\n",
    "for course in documents_raw:\n",
    "    course_name = course['course']\n",
    "\n",
    "    for doc in course['documents']:\n",
    "        doc['course'] = course_name\n",
    "        documents.append(doc)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "96124afd-74cc-424e-9fdc-749e201a89f4",
   "metadata": {},
   "source": [
    "Q2. Indexing the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "70adc261-3a01-4bbd-a0db-7c01c5751a3e",
   "metadata": {},
   "outputs": [],
   "source": [
    "es_client = Elasticsearch('http://localhost:9200') "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "a4b6fc01-b1f9-43b3-84df-b789616fa04e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ObjectApiResponse({'acknowledged': True, 'shards_acknowledged': True, 'index': 'course-questions'})"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "index_settings = {\n",
    "    \"settings\": {\n",
    "        \"number_of_shards\": 1,\n",
    "        \"number_of_replicas\": 0\n",
    "    },\n",
    "    \"mappings\": {\n",
    "        \"properties\": {\n",
    "            \"text\": {\"type\": \"text\"},\n",
    "            \"section\": {\"type\": \"text\"},\n",
    "            \"question\": {\"type\": \"text\"},\n",
    "            \"course\": {\"type\": \"keyword\"} \n",
    "        }\n",
    "    }\n",
    "}\n",
    "\n",
    "index_name = \"course-questions\"\n",
    "\n",
    "es_client.indices.create(index=index_name, body=index_settings)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "be408a84-7c29-49a6-997b-aab9eb6edd24",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "555cb61c32f5414e8f7c39a12dffd2bf",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/948 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for doc in tqdm(documents):\n",
    "    es_client.index(index=index_name, document=doc)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "600fe285-af57-4d2b-acd6-ebe4d667a7f3",
   "metadata": {},
   "source": [
    "Which function do you use for adding your data to elastic? index"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ad86d8a3-1c30-4be2-9aaa-863e5679c7b1",
   "metadata": {},
   "source": [
    "Q3. Searching"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "ee730734-2422-44d7-9db4-fc7fba3fd860",
   "metadata": {},
   "outputs": [],
   "source": [
    "query = \"How do I execute a command in a running docker container?\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "96f4847b-6633-4b17-9560-57de12e0e83a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'_index': 'course-questions',\n",
       "  '_id': 'Hi2MSJAB6JS9AS0iaeYU',\n",
       "  '_score': 76.26878,\n",
       "  '_source': {'text': 'In case running pgcli  locally causes issues or you do not want to install it locally you can use it running in a Docker container instead.\\nBelow the usage with values used in the videos of the course for:\\nnetwork name (docker network)\\npostgres related variables for pgcli\\nHostname\\nUsername\\nPort\\nDatabase name\\n$ docker run -it --rm --network pg-network ai2ys/dockerized-pgcli:4.0.1\\n175dd47cda07:/# pgcli -h pg-database -U root -p 5432 -d ny_taxi\\nPassword for root:\\nServer: PostgreSQL 16.1 (Debian 16.1-1.pgdg120+1)\\nVersion: 4.0.1\\nHome: http://pgcli.com\\nroot@pg-database:ny_taxi> \\\\dt\\n+--------+------------------+-------+-------+\\n| Schema | Name             | Type  | Owner |\\n|--------+------------------+-------+-------|\\n| public | yellow_taxi_data | table | root  |\\n+--------+------------------+-------+-------+\\nSELECT 1\\nTime: 0.009s\\nroot@pg-database:ny_taxi>',\n",
       "   'section': 'Module 1: Docker and Terraform',\n",
       "   'question': 'PGCLI - running in a Docker container',\n",
       "   'course': 'data-engineering-zoomcamp'}},\n",
       " {'_index': 'course-questions',\n",
       "  '_id': 'PS2MSJAB6JS9AS0ibOeV',\n",
       "  '_score': 43.5847,\n",
       "  '_source': {'text': 'You can check the version of your local spark using spark-submit --version. In the build.sh file of the Python folder, make sure that SPARK_VERSION matches your local version. Similarly, make sure the pyspark you pip installed also matches this version.',\n",
       "   'section': 'Module 6: streaming with kafka',\n",
       "   'question': 'How do I check compatibility of local and container Spark versions?',\n",
       "   'course': 'data-engineering-zoomcamp'}},\n",
       " {'_index': 'course-questions',\n",
       "  '_id': 'uS2MSJAB6JS9AS0iZ-Xn',\n",
       "  '_score': 38.909065,\n",
       "  '_source': {'text': \"There are 3 Zoom Camps in a year, as of 2024. However, they are for separate courses:\\nData-Engineering (Jan - Apr)\\nMLOps (May - Aug)\\nMachine Learning (Sep - Jan)\\nThere's only one Data-Engineering Zoomcamp “live” cohort per year, for the certification. Same as for the other Zoomcamps.\\nThey follow pretty much the same schedule for each cohort per zoomcamp. For Data-Engineering it is (generally) from Jan-Apr of the year. If you’re not interested in the Certificate, you can take any zoom camps at any time, at your own pace, out of sync with any “live” cohort.\",\n",
       "   'section': 'General course-related questions',\n",
       "   'question': 'Course - how many Zoomcamps in a year?',\n",
       "   'course': 'data-engineering-zoomcamp'}},\n",
       " {'_index': 'course-questions',\n",
       "  '_id': '7S2MSJAB6JS9AS0iaOV_',\n",
       "  '_score': 37.911995,\n",
       "  '_source': {'text': \"It is recommended by the Docker do\\n[Windows 10 / 11 Home Edition] If you're running a Home Edition, you can still make it work with WSL2 (Windows Subsystem for Linux) by following the tutorial here\\nIf even after making sure your WSL2 (or Hyper-V) is set up accordingly, Docker remains stuck, you can try the option to Reset to Factory Defaults or do a fresh install.\",\n",
       "   'section': 'Module 1: Docker and Terraform',\n",
       "   'question': 'Should I run docker commands from the windows file system or a file system of a Linux distribution in WSL?',\n",
       "   'course': 'data-engineering-zoomcamp'}},\n",
       " {'_index': 'course-questions',\n",
       "  '_id': 'cy2MSJAB6JS9AS0iauYe',\n",
       "  '_score': 35.801796,\n",
       "  '_source': {'text': 'Assuming you downloaded the Mage repo in the week 2 folder of the Data Engineering Zoomcamp, you might want to include your mage copy, demo pipelines and homework within your personal copy of the Data Engineering Zoomcamp repo. This will not work by default, because GitHub sees them as two separate repositories, and one does not track the other. To add the Mage files to your main DE Zoomcamp repo, you will need to:\\nMove the contents of the .gitignore file in your main .gitignore.\\nUse the terminal to cd into the Mage folder and:\\nrun “git remote remove origin” to de-couple the Mage repo,\\nrun “rm -rf .git” to delete local git files,\\nrun “git add .” to add the current folder as changes to stage, commit and push.',\n",
       "   'section': 'Module 2: Workflow Orchestration',\n",
       "   'question': 'Git - How do I include the files in the Mage repo (including exercise files and homework) in a personal copy of the Data Engineering Zoomcamp repo?',\n",
       "   'course': 'data-engineering-zoomcamp'}}]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "search_query = {\n",
    "    \"size\": 5,\n",
    "    \"query\": {\n",
    "        \"bool\": {\n",
    "            \"must\": {\n",
    "                \"multi_match\": {\n",
    "                    \"query\": query,\n",
    "                    \"fields\": [\"question^4\", \"text\"],\n",
    "                    \"type\": \"best_fields\"\n",
    "                }\n",
    "            },\n",
    "            \"filter\": {\n",
    "                \"term\": {\n",
    "                    \"course\": \"data-engineering-zoomcamp\"\n",
    "                }\n",
    "            }\n",
    "        }\n",
    "    }\n",
    "}\n",
    "\n",
    "response = es_client.search(index=index_name, body=search_query)\n",
    "\n",
    "result_docs = []\n",
    "\n",
    "for hit in response['hits']['hits']:\n",
    "    #result_docs.append(hit['_source'])\n",
    "    result_docs.append(hit)\n",
    "result_docs"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2728e511-640d-44e8-b25c-a5e99228a02a",
   "metadata": {},
   "source": [
    "What's the score for the top ranking result? 75.54"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "85870dbc-804a-4f38-ba8d-a4ad399834de",
   "metadata": {},
   "source": [
    "Q4. Filtering"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "97af4637-e055-4144-a44a-ae3671771898",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'_index': 'course-questions',\n",
       "  '_id': 'EC2MSJAB6JS9AS0ib-gE',\n",
       "  '_score': 82.75992,\n",
       "  '_source': {'text': 'Launch the container image in interactive mode and overriding the entrypoint, so that it starts a bash command.\\ndocker run -it --entrypoint bash <image>\\nIf the container is already running, execute a command in the specific container:\\ndocker ps (find the container-id)\\ndocker exec -it <container-id> bash\\n(Marcos MJD)',\n",
       "   'section': '5. Deploying Machine Learning Models',\n",
       "   'question': 'How do I debug a docker container?',\n",
       "   'course': 'machine-learning-zoomcamp'}},\n",
       " {'_index': 'course-questions',\n",
       "  '_id': 'Ly2MSJAB6JS9AS0ib-hf',\n",
       "  '_score': 50.4008,\n",
       "  '_source': {'text': \"You can copy files from your local machine into a Docker container using the docker cp command. Here's how to do it:\\nTo copy a file or directory from your local machine into a running Docker container, you can use the `docker cp command`. The basic syntax is as follows:\\ndocker cp /path/to/local/file_or_directory container_id:/path/in/container\\nHrithik Kumar Advani\",\n",
       "   'section': '5. Deploying Machine Learning Models',\n",
       "   'question': 'How do I copy files from my local machine to docker container?',\n",
       "   'course': 'machine-learning-zoomcamp'}},\n",
       " {'_index': 'course-questions',\n",
       "  '_id': 'MC2MSJAB6JS9AS0ib-hi',\n",
       "  '_score': 48.8577,\n",
       "  '_source': {'text': 'You can copy files from your local machine into a Docker container using the docker cp command. Here\\'s how to do it:\\nIn the Dockerfile, you can provide the folder containing the files that you want to copy over. The basic syntax is as follows:\\nCOPY [\"src/predict.py\", \"models/xgb_model.bin\", \"./\"]\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tGopakumar Gopinathan',\n",
       "   'section': '5. Deploying Machine Learning Models',\n",
       "   'question': 'How do I copy files from a different folder into docker container’s working directory?',\n",
       "   'course': 'machine-learning-zoomcamp'}}]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "search_query = {\n",
    "    \"size\": 3,\n",
    "    \"query\": {\n",
    "        \"bool\": {\n",
    "            \"must\": {\n",
    "                \"multi_match\": {\n",
    "                    \"query\": query,\n",
    "                    \"fields\": [\"question^4\", \"text\"],\n",
    "                    \"type\": \"best_fields\"\n",
    "                }\n",
    "            },\n",
    "            \"filter\": {\n",
    "                \"term\": {\n",
    "                    \"course\": \"machine-learning-zoomcamp\"\n",
    "                }\n",
    "            }\n",
    "        }\n",
    "    }\n",
    "}\n",
    "\n",
    "response = es_client.search(index=index_name, body=search_query)\n",
    "\n",
    "result_docs = []\n",
    "\n",
    "for hit in response['hits']['hits']:\n",
    "    #result_docs.append(hit['_source'])\n",
    "    result_docs.append(hit)\n",
    "result_docs"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "03f0a21f-c7ce-4978-8f5f-f13fcce669a6",
   "metadata": {},
   "source": [
    "What's the 3rd question returned by the search engine? How do I copy files from a different folder into docker container’s working directory?"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d4800c45-cb1f-4f04-b8aa-381a5ee32d6c",
   "metadata": {},
   "source": [
    "Q5. Building a prompt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "32c4c7c3-3f03-42e8-8cd8-6a1cb21e2c42",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'text': 'Launch the container image in interactive mode and overriding the entrypoint, so that it starts a bash command.\\ndocker run -it --entrypoint bash <image>\\nIf the container is already running, execute a command in the specific container:\\ndocker ps (find the container-id)\\ndocker exec -it <container-id> bash\\n(Marcos MJD)',\n",
       "  'section': '5. Deploying Machine Learning Models',\n",
       "  'question': 'How do I debug a docker container?',\n",
       "  'course': 'machine-learning-zoomcamp'},\n",
       " {'text': \"You can copy files from your local machine into a Docker container using the docker cp command. Here's how to do it:\\nTo copy a file or directory from your local machine into a running Docker container, you can use the `docker cp command`. The basic syntax is as follows:\\ndocker cp /path/to/local/file_or_directory container_id:/path/in/container\\nHrithik Kumar Advani\",\n",
       "  'section': '5. Deploying Machine Learning Models',\n",
       "  'question': 'How do I copy files from my local machine to docker container?',\n",
       "  'course': 'machine-learning-zoomcamp'},\n",
       " {'text': 'You can copy files from your local machine into a Docker container using the docker cp command. Here\\'s how to do it:\\nIn the Dockerfile, you can provide the folder containing the files that you want to copy over. The basic syntax is as follows:\\nCOPY [\"src/predict.py\", \"models/xgb_model.bin\", \"./\"]\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tGopakumar Gopinathan',\n",
       "  'section': '5. Deploying Machine Learning Models',\n",
       "  'question': 'How do I copy files from a different folder into docker container’s working directory?',\n",
       "  'course': 'machine-learning-zoomcamp'}]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result_docs = []\n",
    "\n",
    "for hit in response['hits']['hits']:\n",
    "    #result_docs.append(hit['_source'])\n",
    "    result_docs.append(hit['_source'])\n",
    "result_docs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "57de2ecc-68fd-4076-b28c-6f530a32a38b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'You\\'re a course teaching assistant. Answer the QUESTION based on the CONTEXT from the FAQ database.\\nUse only the facts from the CONTEXT when answering the QUESTION.\\n\\nQUESTION: How do I execute a command in a running docker container?\\n\\nCONTEXT: \\nquestion: How do I debug a docker container?\\nanswer: Launch the container image in interactive mode and overriding the entrypoint, so that it starts a bash command.\\ndocker run -it --entrypoint bash <image>\\nIf the container is already running, execute a command in the specific container:\\ndocker ps (find the container-id)\\ndocker exec -it <container-id> bash\\n(Marcos MJD)\\n\\nquestion: How do I copy files from my local machine to docker container?\\nanswer: You can copy files from your local machine into a Docker container using the docker cp command. Here\\'s how to do it:\\nTo copy a file or directory from your local machine into a running Docker container, you can use the `docker cp command`. The basic syntax is as follows:\\ndocker cp /path/to/local/file_or_directory container_id:/path/in/container\\nHrithik Kumar Advani\\n\\nquestion: How do I copy files from a different folder into docker container’s working directory?\\nanswer: You can copy files from your local machine into a Docker container using the docker cp command. Here\\'s how to do it:\\nIn the Dockerfile, you can provide the folder containing the files that you want to copy over. The basic syntax is as follows:\\nCOPY [\"src/predict.py\", \"models/xgb_model.bin\", \"./\"]\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tGopakumar Gopinathan'"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prompt_template = \"\"\"\n",
    "You're a course teaching assistant. Answer the QUESTION based on the CONTEXT from the FAQ database.\n",
    "Use only the facts from the CONTEXT when answering the QUESTION.\n",
    "\n",
    "QUESTION: {question}\n",
    "\n",
    "CONTEXT: \n",
    "{context}\n",
    "\"\"\".strip()\n",
    "\n",
    "context = \"\"\n",
    "\n",
    "for doc in result_docs:\n",
    "    context = context + f\"question: {doc['question']}\\nanswer: {doc['text']}\\n\\n\"\n",
    "\n",
    "prompt = prompt_template.format(question=query, context=context).strip()\n",
    "prompt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "dd40790e-9c82-4350-97dc-a48375939ecd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1499"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(prompt)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f53897f3-a9c3-4eea-a70d-0b9865000668",
   "metadata": {},
   "source": [
    "What's the length of the resulting prompt? 1499"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d2a9ec89-96e2-4c05-b095-36eead20c533",
   "metadata": {},
   "source": [
    "Q6. Tokens"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "82a62202-c049-4b60-8096-779c69a5c8d2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "311"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "encoding = tiktoken.encoding_for_model(\"gpt-4o\")\n",
    "encoded_query = encoding.encode(\"You're a course teaching assistant. Answer the QUESTION based on the CONTEXT from the FAQ database.\\nUse only the facts from the CONTEXT when answering the QUESTION.\\n\\nQUESTION: How do I execute a command in a running docker container?\\n\\nCONTEXT: \\nquestion: How do I debug a docker container?\\nanswer: Launch the container image in interactive mode and overriding the entrypoint, so that it starts a bash command.\\ndocker run -it --entrypoint bash <image>\\nIf the container is already running, execute a command in the specific container:\\ndocker ps (find the container-id)\\ndocker exec -it <container-id> bash\\n(Marcos MJD)\\n\\nquestion: How do I debug a docker container?\\nanswer: Launch the container image in interactive mode and overriding the entrypoint, so that it starts a bash command.\\ndocker run -it --entrypoint bash <image>\\nIf the container is already running, execute a command in the specific container:\\ndocker ps (find the container-id)\\ndocker exec -it <container-id> bash\\n(Marcos MJD)\\n\\nquestion: How do I copy files from my local machine to docker container?\\nanswer: You can copy files from your local machine into a Docker container using the docker cp command. Here's how to do it:\\nTo copy a file or directory from your local machine into a running Docker container, you can use the `docker cp command`. The basic syntax is as follows:\\ndocker cp /path/to/local/file_or_directory container_id:/path/in/container\\nHrithik Kumar Advani\")\n",
    "len(encoded_query)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "824d4594-51c4-4bb5-8776-b793cc010e2c",
   "metadata": {},
   "source": [
    "How many tokens does our prompt have? 311"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "070a0d61-b585-4f43-86ac-40f5becf10e1",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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