demo_walkthrough.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## First, install the Python dependencies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "Installing collected packages: zipp, websockets, uvloop, uvicorn, typeguard, toolz, toml, tenacity, sqlglot, slicer, redis, python-dotenv, pydantic-core, pyarrow_hotfix, pyarrow, parsy, numpy, narwhals, mypy, mmh3, locket, llvmlite, httptools, gunicorn, greenlet, duckdb, cloudpickle, blinker, bigtree, atpublic, annotated-types, watchfiles, uvicorn-worker, starlette, SQLAlchemy, pydeck, pydantic, partd, numba, importlib_metadata, ibis-framework, fastapi, dask, shap, altair, streamlit, feast\n",
      "  Attempting uninstall: tenacity\n",
      "    Found existing installation: tenacity 9.0.0\n",
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      "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
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      "\u001b[0mSuccessfully installed SQLAlchemy-2.0.39 altair-5.5.0 annotated-types-0.7.0 atpublic-5.1 bigtree-0.25.2 blinker-1.9.0 cloudpickle-3.1.1 dask-2025.2.0 duckdb-1.2.1 fastapi-0.115.11 feast-0.47.0 greenlet-3.1.1 gunicorn-23.0.0 httptools-0.6.4 ibis-framework-10.3.1 importlib_metadata-8.6.1 llvmlite-0.44.0 locket-1.0.0 mmh3-5.1.0 mypy-1.15.0 narwhals-1.30.0 numba-0.61.0 numpy-1.26.4 parsy-2.1 partd-1.4.2 pyarrow-18.0.0 pyarrow_hotfix-0.6 pydantic-2.10.6 pydantic-core-2.27.2 pydeck-0.9.1 python-dotenv-1.0.1 redis-5.2.1 shap-0.47.0 slicer-0.0.8 sqlglot-26.10.1 starlette-0.46.1 streamlit-1.42.0 tenacity-8.5.0 toml-0.10.2 toolz-1.0.0 typeguard-4.4.2 uvicorn-0.34.0 uvicorn-worker-0.3.0 uvloop-0.21.0 watchfiles-1.0.4 websockets-15.0.1 zipp-3.21.0\n"
     ]
    }
   ],
   "source": [
    "!pip install --upgrade pip && pip install -r requirements.txt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Initialize the feature store"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No project found in the repository. Using project name credit_scoring_local defined in feature_store.yaml\n",
      "Applying changes for project credit_scoring_local\n",
      "/opt/app-root/lib64/python3.11/site-packages/feast/feature_store.py:581: RuntimeWarning: On demand feature view is an experimental feature. This API is stable, but the functionality does not scale well for offline retrieval\n",
      "  warnings.warn(\n",
      "Deploying infrastructure for \u001b[1m\u001b[32mcredit_history\u001b[0m\n",
      "Deploying infrastructure for \u001b[1m\u001b[32mzipcode_features\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "!feast -c $HOME/feast-credit-score-local-tutorial/feature_repo apply"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Materialize the data into the online feature store"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Materializing \u001b[1m\u001b[32m2\u001b[0m feature views from \u001b[1m\u001b[32m1990-01-01 00:00:00+00:00\u001b[0m to \u001b[1m\u001b[32m2025-03-14 19:24:09+00:00\u001b[0m into the \u001b[1m\u001b[32mredis\u001b[0m online store.\n",
      "\n",
      "\u001b[1m\u001b[32mcredit_history\u001b[0m:\n",
      "100%|██████████████████████████████████████████████████████| 28633/28633 [00:02<00:00, 11834.60it/s]\n",
      "\u001b[1m\u001b[32mzipcode_features\u001b[0m:\n",
      "100%|██████████████████████████████████████████████████████| 28844/28844 [00:01<00:00, 14910.20it/s]\n"
     ]
    }
   ],
   "source": [
    "!feast -c $HOME/feast-credit-score-local-tutorial/feature_repo materialize 1990-01-01T00:00:00 $(date -u +\"%Y-%m-%dT%H:%M:%S\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting model training...\n",
      "Model has been trained successfully\n",
      "Submitting a prediction to the model with data {'zipcode': [76104], 'dob_ssn': ['19630621_4278'], 'person_age': [133], 'person_income': [59000], 'person_home_ownership': ['RENT'], 'person_emp_length': [123.0], 'loan_intent': ['PERSONAL'], 'loan_amnt': [35000], 'loan_int_rate': [16.02]}\n",
      "Data returned from online store for request:\n",
      "         dob_ssn  total_debt_due  credit_card_due  mortgage_due  \\\n",
      "0  19630621_4278        473071.0             3343        378847   \n",
      "\n",
      "   student_loan_due  vehicle_loan_due  loan_amnt  \n",
      "0             44375             11506      35000  \n",
      "Loan rejected!\n"
     ]
    }
   ],
   "source": [
    "!python run.py"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Explore some entities, etc. on Feast"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "NAME              CLASS\n",
      "application_data  <class 'feast.data_source.RequestSource'>\n",
      "Zipcode source    <class 'feast.infra.offline_stores.file_source.FileSource'>\n",
      "Credit history    <class 'feast.infra.offline_stores.file_source.FileSource'>\n"
     ]
    }
   ],
   "source": [
    "!feast -c $HOME/feast-credit-score-local-tutorial/feature_repo data-sources list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "NAME     DESCRIPTION                                                   TYPE\n",
      "zipcode                                                                ValueType.INT64\n",
      "dob_ssn  Date of birth and last four digits of social security number  ValueType.STRING\n"
     ]
    }
   ],
   "source": [
    "!feast -c $HOME/feast-credit-score-local-tutorial/feature_repo entities list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "NAME              ENTITIES     TYPE\n",
      "credit_history    {'dob_ssn'}  FeatureView\n",
      "zipcode_features  {'zipcode'}  FeatureView\n",
      "total_debt_calc   {'dob_ssn'}  OnDemandFeatureView\n"
     ]
    }
   ],
   "source": [
    "!feast -c $HOME/feast-credit-score-local-tutorial/feature_repo feature-views list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "spec:\n",
      "  name: total_debt_calc\n",
      "  features:\n",
      "  - name: total_debt_due\n",
      "    valueType: DOUBLE\n",
      "  sources:\n",
      "    application_data:\n",
      "      requestDataSource:\n",
      "        type: REQUEST_SOURCE\n",
      "        requestDataOptions:\n",
      "          schema:\n",
      "          - name: loan_amnt\n",
      "            valueType: INT64\n",
      "        name: application_data\n",
      "    credit_history:\n",
      "      featureViewProjection:\n",
      "        featureViewName: credit_history\n",
      "        featureColumns:\n",
      "        - name: credit_card_due\n",
      "          valueType: INT64\n",
      "        - name: mortgage_due\n",
      "          valueType: INT64\n",
      "        - name: student_loan_due\n",
      "          valueType: INT64\n",
      "        - name: vehicle_loan_due\n",
      "          valueType: INT64\n",
      "        - name: hard_pulls\n",
      "          valueType: INT64\n",
      "        - name: missed_payments_2y\n",
      "          valueType: INT64\n",
      "        - name: missed_payments_1y\n",
      "          valueType: INT64\n",
      "        - name: missed_payments_6m\n",
      "          valueType: INT64\n",
      "        - name: bankruptcies\n",
      "          valueType: INT64\n",
      "        timestampField: created_timestamp\n",
      "        createdTimestampColumn: created_timestamp\n",
      "        batchSource:\n",
      "          type: BATCH_FILE\n",
      "          timestampField: event_timestamp\n",
      "          createdTimestampColumn: created_timestamp\n",
      "          fileOptions:\n",
      "            fileFormat:\n",
      "              parquetFormat: {}\n",
      "            uri: data/credit_history.parquet\n",
      "          name: Credit history\n",
      "  featureTransformation:\n",
      "    userDefinedFunction:\n",
      "      name: total_debt_calc\n",
      "      body: 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\n",
      "      bodyText: \"@on_demand_feature_view(\\n   sources=[\\n       credit_history,\\n\\\n",
      "        \\       input_request,\\n   ],\\n   schema=[\\n     Field(name='total_debt_due',\\\n",
      "        \\ dtype=Float64),\\n   ],\\n   mode=\\\"pandas\\\",\\n)\\ndef total_debt_calc(features_df:\\\n",
      "        \\ pd.DataFrame) -> pd.DataFrame:\\n    df = pd.DataFrame()\\n    df['total_debt_due']\\\n",
      "        \\ = (\\n        features_df['credit_card_due'] + features_df['mortgage_due']\\\n",
      "        \\ + \\n        features_df['student_loan_due'] + features_df['vehicle_loan_due']\\\n",
      "        \\ + \\n        features_df['loan_amnt']\\n    ).astype(float)\\n    return df\\\n",
      "        \\ \\n\"\n",
      "  mode: pandas\n",
      "  entities:\n",
      "  - __dummy\n",
      "  entityColumns:\n",
      "  - name: __dummy_id\n",
      "    valueType: STRING\n",
      "meta:\n",
      "  createdTimestamp: '2025-03-14T19:23:51.765002Z'\n",
      "  lastUpdatedTimestamp: '2025-03-14T19:23:51.765002Z'\n",
      "\n"
     ]
    }
   ],
   "source": [
    "!feast -c $HOME/feast-credit-score-local-tutorial/feature_repo on-demand-feature-views describe total_debt_calc"
   ]
  }
 ],
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