{ "nbformat": 4, "nbformat_minor": 0, "metadata": { "colab": { "name": "2021-07-24-storing-ml-features-using-feast.ipynb", "provenance": [], "collapsed_sections": [], "mount_file_id": "1RgDRfPhQXOZgC9VL5HSYgDziqFQHeD_v", "authorship_tag": "ABX9TyMwUwNK3PdMDMsGzmAUDBo5" }, "kernelspec": { "name": "python3", "display_name": "Python 3" }, "language_info": { "name": "python" } }, "cells": [ { "cell_type": "markdown", "metadata": { "id": "Jf0aHUhtsgPE" }, "source": [ "# Storing ML features using Feast\n", "> Storing features in feast (a featurestore system), tried out on movielens & ad-click datasets\n", "\n", "- toc: true\n", "- badges: true\n", "- comments: true\n", "- categories: [FeatureStore]\n", "- image:" ] }, { "cell_type": "markdown", "metadata": { "id": "47p4Kt6jPZbE" }, "source": [ "## Feast" ] }, { "cell_type": "markdown", "metadata": { "id": "NwwcuVvSPgV0" }, "source": [ 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)" ] }, { "cell_type": "markdown", "metadata": { "id": "V7mxBOaBPn1_" }, "source": [ "Feast (Feature Store) is an operational data system for managing and serving machine learning features to models in production.\n", "\n", "[Git](https://github.com/feast-dev/feast)\n" ] }, { "cell_type": "markdown", "metadata": { "id": "0xKlcDKOP2BY" }, "source": [ 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)" ] }, { "cell_type": "code", "metadata": { "id": "mQCHBlg-PSee", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "46b232e2-b5eb-4eec-e8cc-12057210d518" }, "source": [ "!pip install -q feast" ], "execution_count": null, "outputs": [ { "output_type": "stream", "text": [ "\u001b[K |████████████████████████████████| 190 kB 5.1 MB/s \n", "\u001b[K |████████████████████████████████| 100 kB 4.3 MB/s \n", "\u001b[K |████████████████████████████████| 269 kB 9.8 MB/s \n", "\u001b[K |████████████████████████████████| 10.1 MB 10.2 MB/s \n", "\u001b[K |████████████████████████████████| 50 kB 5.5 MB/s \n", "\u001b[K |████████████████████████████████| 2.3 MB 33.8 MB/s \n", "\u001b[?25h Building wheel for pandavro (setup.py) ... \u001b[?25l\u001b[?25hdone\n", " Building wheel for PyYAML (setup.py) ... \u001b[?25l\u001b[?25hdone\n" ], "name": "stdout" } ] }, { "cell_type": "markdown", "metadata": { "id": "bnTSti6YU6ib" }, "source": [ "A feature repository is a directory that contains the configuration of the feature store and individual features. This configuration is written as code (Python/YAML) and it's highly recommended that teams track it centrally using git. " ] }, { "cell_type": "markdown", "metadata": { "id": "YfYconoLVO36" }, "source": [ "Edit the example feature definitions in example.py and run feast apply again to change feature definitions." ] }, { "cell_type": "markdown", "metadata": { "id": "ljhwODVAW9iX" }, "source": [ "Feast uses a time-series data model to represent data. This data model is used to interpret feature data in data sources in order to build training datasets or when materializing features into an online store.\n", "Below is an example data source with a single entity (driver) and two features (trips_today, and rating)." ] }, { "cell_type": "markdown", "metadata": { "id": "8WH6lGaHW_rA" }, "source": [ "![image.png](data:image/png;base64,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)" ] }, { "cell_type": "markdown", "metadata": { "id": "ArwtR5Wx_J7o" }, "source": [ "## Movielens" ] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "1du3HIsPNDVx", "outputId": "c6958224-77aa-4f70-f05e-cd4d53de07ee" }, "source": [ "!pip install -q git+https://github.com/sparsh-ai/recochef.git\n", "from recochef.datasets.movielens import MovieLens" ], "execution_count": null, "outputs": [ { "output_type": "stream", "text": [ " Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n", " Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n", " Preparing wheel metadata ... \u001b[?25l\u001b[?25hdone\n", "\u001b[K |████████████████████████████████| 4.3MB 6.0MB/s \n", "\u001b[?25h Building wheel for recochef (PEP 517) ... \u001b[?25l\u001b[?25hdone\n" ], "name": "stdout" } ] }, { "cell_type": "markdown", "metadata": { "id": "GGBxfgV1CqYv" }, "source": [ "### Load" ] }, { "cell_type": "code", "metadata": { "id": "4famy0k3Cpac" }, "source": [ "ml = MovieLens()\n", "df = ml.load_interactions()\n", "df.head()" ], "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "metadata": { "id": "xRnxWKjzCl9-" }, "source": [ "### Transform" ] }, { "cell_type": "code", "metadata": { "id": "PELmaKuICkVw" }, "source": [ "from recochef.preprocessing import encode, split\n", "train, test = split.chrono_split(df)\n", "train, umap = encode.label_encode(train, col='USERID')\n", "train, imap = encode.label_encode(train, col='ITEMID')\n", "test = encode.label_encode(test, col='USERID', maps=umap)\n", "test = encode.label_encode(test, col='ITEMID', maps=imap)\n", "train.head()" ], "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "metadata": { "id": "DOaCtwiKCtRb" }, "source": [ "### Create a feature repository" ] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "5cLD9ScIQFUP", "outputId": "cfbb34c5-6531-41fb-a4b8-906c0b14dee1" }, "source": [ "!feast init my_movielens_repo\n", "%cd my_movielens_repo" ], "execution_count": null, "outputs": [ { "output_type": "stream", "text": [ "\n", "Creating a new Feast repository in \u001b[1m\u001b[32m/content/my_movielens_repo\u001b[0m.\n", "\n", "/content/my_movielens_repo\n" ], "name": "stdout" } ] }, { "cell_type": "code", "metadata": { "id": "C4PtfmVlVrdG" }, "source": [ "train.to_parquet(\"./data/movielens_train.parquet\")\n", "test.to_parquet(\"./data/movielens_test.parquet\")" ], "execution_count": null, "outputs": [] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "61DYdzh1Vh9V", "outputId": "f75424bf-5615-4993-be90-6589f5d332f2" }, "source": [ "%%writefile example.py\n", "from google.protobuf.duration_pb2 import Duration\n", "\n", "from feast import Entity, Feature, FeatureView, ValueType\n", "from feast.data_source import FileSource\n", "\n", "\n", "movielens_train = FileSource(\n", " path=\"/content/my_movielens_repo/data/movielens_train.parquet\",\n", " event_timestamp_column=\"datetime\",\n", " created_timestamp_column=\"created\",\n", ")\n", "\n", "movielens_test = FileSource(\n", " path=\"/content/my_movielens_repo/data/movielens_test.parquet\",\n", " event_timestamp_column=\"datetime\",\n", " created_timestamp_column=\"created\",\n", ")\n", "\n", "\n", "itemid = Entity(name=\"ITEMID\", value_type=ValueType.INT64, description=\"movie id\")\n", "userid = Entity(name=\"USERID\", value_type=ValueType.INT64, description=\"user id\")\n", "\n", "\n", "movielens_train_view = FeatureView(\n", " name=\"movielens_train\",\n", " entities=[\"itemid\",\"userid\"],\n", " ttl=Duration(seconds=86400 * 1),\n", " features=[\n", " Feature(name=\"RATING\", dtype=ValueType.FLOAT),\n", " Feature(name=\"TIMESTAMP\", dtype=ValueType.FLOAT),\n", " ],\n", " online=True,\n", " input=movielens_train,\n", " tags={},\n", ")\n", "\n", "movielens_test_view = FeatureView(\n", " name=\"movielens_test\",\n", " entities=[\"itemid\",\"userid\"],\n", " ttl=Duration(seconds=86400 * 1),\n", " features=[\n", " Feature(name=\"RATING\", dtype=ValueType.FLOAT),\n", " Feature(name=\"TIMESTAMP\", dtype=ValueType.FLOAT),\n", " ],\n", " online=True,\n", " input=movielens_test,\n", " tags={},\n", ")" ], "execution_count": null, "outputs": [ { "output_type": "stream", "text": [ "Overwriting example.py\n" ], "name": "stdout" } ] }, { "cell_type": "markdown", "metadata": { "id": "LHI_B14wVj8a" }, "source": [ "Register your feature definitions and set up your feature store" ] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "R2ifKusVQKZH", "outputId": "2f91b0f9-18b5-4f00-a87f-4490e94a2224" }, "source": [ "!feast apply" ], "execution_count": null, "outputs": [ { "output_type": "stream", "text": [ "Registered entity \u001b[1m\u001b[32mITEMID\u001b[0m\n", "Registered entity \u001b[1m\u001b[32mUSERID\u001b[0m\n", "Registered feature view \u001b[1m\u001b[32mmovielens_test\u001b[0m\n", "Registered feature view \u001b[1m\u001b[32mmovielens_train\u001b[0m\n", "Deploying infrastructure for \u001b[1m\u001b[32mmovielens_test\u001b[0m\n", "Deploying infrastructure for \u001b[1m\u001b[32mmovielens_train\u001b[0m\n" ], "name": "stdout" } ] }, { "cell_type": "markdown", "metadata": { "id": "ZV56zvD-Qm1x" }, "source": [ "### Build a training dataset" ] }, { "cell_type": "markdown", "metadata": { "id": "CrxmVUTKbiwQ" }, "source": [ "Feast allows users to build a training dataset from time-series feature data that already exists in an offline store. Users are expected to provide a list of features to retrieve (which may span multiple feature views), and a dataframe to join the resulting features onto. Feast will then execute a point-in-time join of multiple feature views onto the provided dataframe, and return the full resulting dataframe." ] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 111 }, "id": "xgniqdUWa56m", "outputId": "55bf0004-a386-43c6-8717-0eac6b4c98a9" }, "source": [ "train.sample(2)" ], "execution_count": null, "outputs": [ { "output_type": "execute_result", "data": { "text/html": [ "
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\n", "
" ], "text/plain": [ " USERID ITEMID RATING TIMESTAMP\n", "2408 212 408 5.0 878955409\n", "18737 390 53 5.0 877399659" ] }, "metadata": { "tags": [] }, "execution_count": 27 } ] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "Ho7ddXxddSay", "outputId": "c0ab1d17-895e-4d2f-8db7-a95ff956f789" }, "source": [ "present_time" ], "execution_count": null, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "Timestamp('2021-07-09 08:49:27.205924+0000', tz='UTC')" ] }, "metadata": { "tags": [] }, "execution_count": 31 } ] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 578 }, "id": "j9p3IDrGa5I-", "collapsed": true, "outputId": "30d0c398-4321-4711-e03f-0225e5721e07" }, "source": [ "from feast import FeatureStore\n", "import pandas as pd\n", "from datetime import datetime\n", "\n", "present_time = pd.Timestamp(datetime.now(), tz=\"UTC\")\n", "\n", "entity_df = pd.DataFrame.from_dict({\n", " \"userid\": [212, 390],\n", " \"itemid\": [408, 53],\n", " \"datetime\": [present_time,\n", " present_time]\n", "})\n", "\n", "store = FeatureStore(repo_path=\".\")\n", "\n", "training_df = store.get_historical_features(\n", " entity_df=entity_df, \n", " feature_refs = [\n", " 'movielens_train:RATING',\n", " # 'movielens_train:TIMESTAMP',\n", " ],\n", ").to_df()\n", "\n", "training_df" ], "execution_count": null, "outputs": [ { "output_type": "stream", "text": [ "Using datetime as the event timestamp. To specify a column explicitly, please name it event_timestamp.\n" ], "name": "stdout" }, { "output_type": "error", "ename": "KeyError", "evalue": "ignored", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", "\u001b[0;32m/usr/local/lib/python3.7/dist-packages/pandas/core/indexes/base.py\u001b[0m in \u001b[0;36mget_loc\u001b[0;34m(self, key, method, tolerance)\u001b[0m\n\u001b[1;32m 2897\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2898\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcasted_key\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2899\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0merr\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n", "\u001b[0;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n", "\u001b[0;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n", "\u001b[0;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n", "\u001b[0;31mKeyError\u001b[0m: 'datetime'", "\nThe above exception was the direct cause of the following exception:\n", "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 17\u001b[0m \u001b[0mentity_df\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mentity_df\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 18\u001b[0m feature_refs = [\n\u001b[0;32m---> 19\u001b[0;31m \u001b[0;34m'movielens_train:RATING'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 20\u001b[0m \u001b[0;31m# 'movielens_train:TIMESTAMP',\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 21\u001b[0m ],\n", "\u001b[0;32m/usr/local/lib/python3.7/dist-packages/feast/infra/offline_stores/file.py\u001b[0m in \u001b[0;36mto_df\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 36\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mto_df\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 37\u001b[0m \u001b[0;31m# Only execute the evaluation function to build the final historical retrieval dataframe at the last moment.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 38\u001b[0;31m \u001b[0mdf\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mevaluation_function\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 39\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mdf\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 40\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;32m/usr/local/lib/python3.7/dist-packages/feast/infra/offline_stores/file.py\u001b[0m in \u001b[0;36mevaluate_historical_retrieval\u001b[0;34m()\u001b[0m\n\u001b[1;32m 112\u001b[0m \u001b[0;31m# Make sure all timestamp fields are tz-aware. We default tz-naive fields to UTC\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 113\u001b[0m df_to_join[event_timestamp_column] = df_to_join[\n\u001b[0;32m--> 114\u001b[0;31m \u001b[0mevent_timestamp_column\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 115\u001b[0m \u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mapply\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 116\u001b[0m \u001b[0;32mlambda\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mx\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtzinfo\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;32melse\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreplace\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtzinfo\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mpytz\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mutc\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;32m/usr/local/lib/python3.7/dist-packages/pandas/core/frame.py\u001b[0m in \u001b[0;36m__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 2904\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnlevels\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2905\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_getitem_multilevel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2906\u001b[0;31m \u001b[0mindexer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2907\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mis_integer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mindexer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2908\u001b[0m \u001b[0mindexer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mindexer\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;32m/usr/local/lib/python3.7/dist-packages/pandas/core/indexes/base.py\u001b[0m in \u001b[0;36mget_loc\u001b[0;34m(self, key, method, tolerance)\u001b[0m\n\u001b[1;32m 2898\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcasted_key\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2899\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0merr\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2900\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0merr\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2901\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2902\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mtolerance\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;31mKeyError\u001b[0m: 'datetime'" ] } ] }, { "cell_type": "code", "metadata": { "id": "PMAjXPbvaYnY" }, "source": [ "from feast import FeatureStore\n", "import pandas as pd\n", "from datetime import datetime\n", "\n", "entity_df = pd.DataFrame.from_dict({\n", " \"driver_id\": [1001, 1002, 1003, 1004],\n", " \"event_timestamp\": [\n", " datetime(2021, 4, 12, 10, 59, 42),\n", " datetime(2021, 4, 12, 8, 12, 10),\n", " datetime(2021, 4, 12, 16, 40, 26),\n", " datetime(2021, 4, 12, 15, 1 , 12)\n", " ]\n", "})\n", "\n", "store = FeatureStore(repo_path=\".\")\n", "\n", "training_df = store.get_historical_features(\n", " entity_df=entity_df, \n", " feature_refs = [\n", " 'driver_hourly_stats:conv_rate',\n", " 'driver_hourly_stats:acc_rate',\n", " 'driver_hourly_stats:avg_daily_trips'\n", " ],\n", ").to_df()" ], "execution_count": null, "outputs": [] }, { "cell_type": "code", "metadata": { "id": "MdPaCw_ZQbia" }, "source": [ "from feast import FeatureStore\n", "import pandas as pd\n", "from datetime import datetime\n", "\n", "entity_df = pd.DataFrame.from_dict({\n", " \"driver_id\": [1001, 1002, 1003, 1004],\n", " \"event_timestamp\": [\n", " datetime(2021, 4, 12, 10, 59, 42),\n", " datetime(2021, 4, 12, 8, 12, 10),\n", " datetime(2021, 4, 12, 16, 40, 26),\n", " datetime(2021, 4, 12, 15, 1 , 12)\n", " ]\n", "})\n", "\n", "store = FeatureStore(repo_path=\".\")\n", "\n", "training_df = store.get_historical_features(\n", " entity_df=entity_df, \n", " feature_refs = [\n", " 'driver_hourly_stats:conv_rate',\n", " 'driver_hourly_stats:acc_rate',\n", " 'driver_hourly_stats:avg_daily_trips'\n", " ],\n", ").to_df()" ], "execution_count": null, "outputs": [] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 261 }, "id": "iqMZM-xQQ6vC", "outputId": "f784eabd-b3af-4dcb-a363-650efe45eb9b" }, "source": [ "training_df.head()" ], "execution_count": null, "outputs": [ { "output_type": "execute_result", "data": { "text/html": [ "
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event_timestampdriver_iddriver_hourly_stats__conv_ratedriver_hourly_stats__acc_ratedriver_hourly_stats__avg_daily_trips
02021-04-12 08:12:10+00:0010020.3850160.913230803
12021-04-12 10:59:42+00:0010010.1928060.492017973
22021-04-12 15:01:12+00:0010040.3713720.788611837
32021-04-12 16:40:26+00:0010030.8282100.315526205
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" ], "text/plain": [ " event_timestamp ... driver_hourly_stats__avg_daily_trips\n", "0 2021-04-12 08:12:10+00:00 ... 803\n", "1 2021-04-12 10:59:42+00:00 ... 973\n", "2 2021-04-12 15:01:12+00:00 ... 837\n", "3 2021-04-12 16:40:26+00:00 ... 205\n", "\n", "[4 rows x 5 columns]" ] }, "metadata": { "tags": [] }, "execution_count": 3 } ] }, { "cell_type": "markdown", "metadata": { "id": "GQAaubc5RmnR" }, "source": [ "### Load feature values into your online store" ] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "s8OrKWPvRz-0", "outputId": "63ff1864-5bf4-4476-8aaa-f6d5bf505819" }, "source": [ "%%sh\n", "CURRENT_TIME=$(date -u +\"%Y-%m-%dT%H:%M:%S\")\n", "feast materialize-incremental $CURRENT_TIME" ], "execution_count": null, "outputs": [ { "output_type": "stream", "text": [ "Materializing \u001b[1m\u001b[32m1\u001b[0m feature views to \u001b[1m\u001b[32m2021-07-09 08:01:35+00:00\u001b[0m into the \u001b[1m\u001b[32msqlite\u001b[0m online store.\n", "\n", "\u001b[1m\u001b[32mdriver_hourly_stats\u001b[0m from \u001b[1m\u001b[32m2021-07-08 08:01:36+00:00\u001b[0m to \u001b[1m\u001b[32m2021-07-09 08:01:35+00:00\u001b[0m:\n" ], "name": "stdout" }, { "output_type": "stream", "text": [ "\r 0%| | 0/5 [00:00\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
impression_idimpression_timeuser_idapp_codeos_versionis_4Gis_click
0c4ca4238a0b923820dcc509a6f75849b2018-11-15 00:00:0087862422old00
145c48cce2e2d7fbdea1afc51c7c6ad262018-11-15 00:01:0063410467latest11
270efdf2ec9b086079795c442636b55fb2018-11-15 00:02:0071748259intermediate10
38e296a067a37563370ded05f5a3bf3ec2018-11-15 00:02:0069209244latest10
4182be0c5cdcd5072bb1864cdee4d3d6e2018-11-15 00:02:0062873473latest00
\n", "" ], "text/plain": [ " impression_id impression_time ... is_4G is_click\n", "0 c4ca4238a0b923820dcc509a6f75849b 2018-11-15 00:00:00 ... 0 0\n", "1 45c48cce2e2d7fbdea1afc51c7c6ad26 2018-11-15 00:01:00 ... 1 1\n", "2 70efdf2ec9b086079795c442636b55fb 2018-11-15 00:02:00 ... 1 0\n", "3 8e296a067a37563370ded05f5a3bf3ec 2018-11-15 00:02:00 ... 1 0\n", "4 182be0c5cdcd5072bb1864cdee4d3d6e 2018-11-15 00:02:00 ... 0 0\n", "\n", "[5 rows x 7 columns]" ] }, "metadata": { "tags": [] }, "execution_count": 15 } ] }, { "cell_type": "code", "metadata": { "id": "v22kUx4OCDHg" }, "source": [ "data.to_parquet(\"./data/train.parquet\")" ], "execution_count": null, "outputs": [] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 204 }, "id": "Qa1AeoakCGY1", "outputId": "d55f6cf0-0d4b-4405-bfee-81d86fbce675" }, "source": [ "item = pd.read_csv(\"/content/train_adc/item_data.csv\")\n", "item.to_parquet(\"./data/item_data.parquet\")\n", "item.head()" ], "execution_count": null, "outputs": [ { "output_type": "execute_result", "data": { "text/html": [ "
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item_iditem_pricecategory_1category_2category_3product_type
02688046021135203040
15493935131257856822
2403838251782791619
38777235513581895264
41137051267173915110239
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" ], "text/plain": [ " item_id item_price category_1 category_2 category_3 product_type\n", "0 26880 4602 11 35 20 3040\n", "1 54939 3513 12 57 85 6822\n", "2 40383 825 17 8 279 1619\n", "3 8777 2355 13 58 189 5264\n", "4 113705 1267 17 39 151 10239" ] }, "metadata": { "tags": [] }, "execution_count": 17 } ] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 204 }, "id": "tBlU-8KICGVi", "outputId": "4eecc6f8-9425-4aa2-c089-fb71d3c7d6cc" }, "source": [ "view_log = pd.read_csv(\"/content/train_adc/view_log.csv\")\n", "view_log['server_time'] = pd.to_datetime(view_log['server_time'])\n", "view_log.to_parquet(\"./data/view_log.parquet\")\n", "view_log.head()" ], "execution_count": null, "outputs": [ { "output_type": "execute_result", "data": { "text/html": [ "
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server_timedevice_typesession_iduser_iditem_id
02018-10-15 08:58:00android112333455732970
12018-10-15 08:58:00android503590747887640
22018-10-15 08:58:00android57396023628128855
32018-10-15 08:58:00android121691243012774
42018-10-15 08:58:00android2185641922728296
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" ], "text/plain": [ " server_time device_type session_id user_id item_id\n", "0 2018-10-15 08:58:00 android 112333 4557 32970\n", "1 2018-10-15 08:58:00 android 503590 74788 7640\n", "2 2018-10-15 08:58:00 android 573960 23628 128855\n", "3 2018-10-15 08:58:00 android 121691 2430 12774\n", "4 2018-10-15 08:58:00 android 218564 19227 28296" ] }, "metadata": { "tags": [] }, "execution_count": 18 } ] }, { "cell_type": "code", "metadata": { "id": "p4FrToWQBYU2" }, "source": [ "os.environ[\"TRAIN_DATA\"] = \"./data/view_log.parquet\"\n", "os.environ[\"ITEM_DATA\"] = \"./data/item_data.parquet\"\n", "os.environ[\"VIEW_LOG_DATA\"] = \"./data/view_log.parquet\"" ], "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "metadata": { "id": "u8YXLod8AfcG" }, "source": [ "### Re-write the featureTable definition as feature store" ] }, { "cell_type": "code", "metadata": { "id": "Idy4E5rGAQ8v" }, "source": [ "class ContextAdClickData:\n", "\n", " def __init__(self) -> None:\n", " self.features = {}\n", "\n", " def train_view_source(self):\n", " return FileSource(\n", " event_timestamp_column=\"impression_time\",\n", " # created_timestamp_column=\"created\",\n", " file_format=ParquetFormat(),\n", " path=os.environ.get(\"TRAIN_DATA\"),\n", " )\n", " \n", " def item_data_view_source(self):\n", " return FileSource(\n", " file_format=ParquetFormat(),\n", " path=os.environ.get(\"ITEM_DATA\")\n", " # path=\"s3://{bucket_name}/data/item_data.parquet\"\n", " )\n", " \n", " def view_log_data_view_source(self):\n", " return FileSource(\n", " event_timestamp_column=\"server_time\",\n", " file_format=ParquetFormat(),\n", " path=os.environ.get(\"VIEW_LOG_DATA\")\n", " )\n", "\n", " def trainView(self):\n", " \"\"\"Defines the train table for the click data.\n", " :params:\n", " - column_type_dict - A dictionary of columns and the data type\n", " \n", " \"\"\"\n", " name = \"train_table\"\n", " return FeatureView(\n", " name=name,\n", " entities=[self.train_entity().name],\n", " ttl=Duration(seconds=86400 * 1),\n", " features=[\n", " self.feature_create(\"user_id\", ValueType.STRING),\n", " self.feature_create(\"impression_id\", ValueType.STRING),\n", " self.feature_create(\"app_code\", ValueType.INT32),\n", " self.feature_create(\"os_version\", ValueType.STRING),\n", " self.feature_create(\"is_4G\", ValueType.INT32),\n", " self.feature_create(\"is_click\", ValueType.INT32),\n", " ],\n", " online=True,\n", " input=self.train_view_source(),\n", " tags={}\n", " )\n", " \n", " def viewLogView(self):\n", " name = \"view_log_table\"\n", " return FeatureView(\n", " name=name,\n", " entities=[self.view_log_entity().name],\n", " ttl=Duration(seconds=86400 * 1),\n", " features=[\n", " # self.feature_create(\"server_time\", ValueType.UNIX_TIMESTAMP),\n", " self.feature_create(\"device_type\", ValueType.STRING),\n", " # self.feature_create(\"session_id\", ValueType.INT32),\n", " self.feature_create(\"user_id\", ValueType.INT64),\n", " self.feature_create(\"item_id\", ValueType.INT64)\n", " ],\n", " online=True,\n", " input=self.view_log_data_view_source(),\n", " tags={}\n", " )\n", "\n", " def itemDataView(self):\n", " name = \"item_data_table\"\n", " feature_table = FeatureView(\n", " name=name,\n", " entities=[self.item_data_entity().name],\n", " ttl=Duration(seconds=86400 * 1),\n", " features=[\n", " self.feature_create(\"item_id\", ValueType.INT32),\n", " self.feature_create(\"item_price\", ValueType.INT32),\n", " self.feature_create(\"category_1\", ValueType.INT32),\n", " self.feature_create(\"category_2\", ValueType.INT32),\n", " self.feature_create(\"category_3\", ValueType.INT32),\n", " self.feature_create(\"product_type\", ValueType.INT32)\n", " ],\n", " online=True,\n", " input=self.item_data_view_source(),\n", " tags={}\n", " )\n", " return feature_table\n", " \n", " \n", " def train_entity(self):\n", " name = \"impression_id\"\n", " return Entity(name, value_type=ValueType.INT32, description=\"Impression logs with click details\")\n", "\n", " def view_log_entity(self):\n", " name = \"session_id\"\n", " #TODO: Check how to merge the user_id in this entity and user id in click entity.\n", " return Entity(name=name, value_type=ValueType.INT64, description=\"View log containing user_id and item_id being viewed\")\n", " \n", " def item_data_entity(self):\n", " name=\"item_id\"\n", " return Entity(name=name, value_type=ValueType.INT32, description=\"Item data\")\n", "\n", " def feature_create(self, name, value):\n", " \"\"\"Add features \"\"\"\n", " self.features[name] = Feature(name, dtype=value)\n", " assert name in self.features\n", " return self.features[name]" ], "execution_count": null, "outputs": [] }, { "cell_type": "code", "metadata": { "id": "Pa6mY1iuA5g7" }, "source": [ "addClick = ContextAdClickData()\n", "\n", "en_train = addClick.train_entity()\n", "en_item = addClick.item_data_entity()\n", "en_view_log = addClick.view_log_entity()\n", "\n", "x = addClick.trainView()\n", "y = addClick.itemDataView()\n", "z = addClick.viewLogView()" ], "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "metadata": { "id": "JerMdLxBIq4Q" }, "source": [ "### Registering the features to local feature store" ] }, { "cell_type": "code", "metadata": { "id": "T3GekxbrCGSH" }, "source": [ "store = FeatureStore(repo_path=\".\")" ], "execution_count": null, "outputs": [] }, { "cell_type": "code", "metadata": { "id": "0sspvdoXGuQH" }, "source": [ "store.apply([x,en_train])\n", "# store.apply([y,en_item])\n", "store.apply([z,en_view_log])" ], "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "metadata": { "id": "DCKG3RWeIj8S" }, "source": [ "### Retrieving some features from local store" ] }, { "cell_type": "code", "metadata": { "id": "H07v33CHCGOP" }, "source": [ "entity_df = pd.DataFrame.from_dict({\n", " \"session_id\": [218564],\n", " \"event_timestamp\" : datetime(2018, 10, 15, 8, 58, 00),\n", "})" ], "execution_count": null, "outputs": [] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 80 }, "id": "hWFHO2lEGk5P", "outputId": "e9113179-84f3-4a4e-9e7d-1e4e2b46abdb" }, "source": [ "data_df = store.get_historical_features(feature_refs=[\"view_log_table:device_type\"], entity_df=entity_df)\n", "ex_data = data_df.to_df()\n", "ex_data.head()" ], "execution_count": null, "outputs": [ { "output_type": "execute_result", "data": { "text/html": [ "
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event_timestampsession_idview_log_table__device_type
02018-10-15 08:58:00+00:00218564android
\n", "
" ], "text/plain": [ " event_timestamp session_id view_log_table__device_type\n", "0 2018-10-15 08:58:00+00:00 218564 android" ] }, "metadata": { "tags": [] }, "execution_count": 38 } ] } ] }