diff --git a/.dvcignore b/.dvcignore new file mode 100644 index 00000000..51973055 --- /dev/null +++ b/.dvcignore @@ -0,0 +1,3 @@ +# Add patterns of files dvc should ignore, which could improve +# the performance. Learn more at +# https://dvc.org/doc/user-guide/dvcignore diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 00000000..4d81f7ed --- /dev/null +++ b/.gitattributes @@ -0,0 +1,5 @@ +*.csv filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.csv.gz filter=lfs diff=lfs merge=lfs -text +data/ filter=lfs diff=lfs merge=lfs -text +data/kion_train filter=lfs diff=lfs merge=lfs -text diff --git a/.github/workflows/cicd.yml b/.github/workflows/cicd.yml index b32b75c5..e99f2301 100644 --- a/.github/workflows/cicd.yml +++ b/.github/workflows/cicd.yml @@ -12,6 +12,8 @@ jobs: uses: actions/setup-python@v2 with: python-version: "3.8" + - name: Checkout LFS objects + run: git lfs checkout - run: pip install poetry - run: make setup - run: make lint diff --git a/.gitignore b/.gitignore index e96a1739..75d8e8da 100644 --- a/.gitignore +++ b/.gitignore @@ -2,6 +2,8 @@ .vscode/ .idea/ +.zip + # Mac/OSX .DS_Store @@ -65,5 +67,3 @@ venv.bak/ # mypy .mypy_cache/ - - diff --git a/README.md b/README.md index 249c403c..7746dd05 100644 --- a/README.md +++ b/README.md @@ -1,153 +1,27 @@ -# Шаблон сервиса рекомендаций +# Сервис рекомендаций фильмов на основе данных с сайта Kion ## Подготовка +## Установка окружения +```bash +python3 -m pip install poetry +poetry install +``` + ## Установить CloudFlare ```bash brew install cloudflared cloudflared tunnel --url http://localhost:8000/ ``` -### Python - -В данном шаблоне используется Python3.8, однако вы можете использовать более свежие версии, если хотите. -Но мы не гарантируем, что все будет работать. - -### Make - -[Make](https://www.gnu.org/software/make/) - это очень популярная утилита, -предназначенная для преобразования одних файлов в другие через определенную последовательность команд. -Однако ее можно использовать для исполнения произвольных последовательностей команд. -Команды и правила их исполнения прописываются в `Makefile`. - -Мы будем активно использовать `make` в данном проекте, поэтому рекомендуем познакомится с ней поближе. - -На MacOS и *nix системах `make` обычно идет в комплекте или ее можно легко установить. -Некоторые варианты, как можно поставить `make` на `Windows`, -описаны [здесь](https://stackoverflow.com/questions/32127524/how-to-install-and-use-make-in-windows). - -### Poetry - -[Poetry](https://python-poetry.org/) - это удобный инструмент для работы с зависимостями в Python. -Мы будем использовать его для подготовки окружения. - -Поэтому перед началом работы необходимо выполнить [шаги по установке](https://python-poetry.org/docs/#installation). - - -## Виртуальное окружение - -Мы будем работать в виртуальном окружении, которое создадим специально для данного проекта. -Если вы не знакомы с концепцией виртуальных окружений в Python, обязательно -[познакомьтесь](https://docs.python.org/3.8/tutorial/venv.html). -Мы рекомендуем использовать отдельное виртуальное окружение для каждого вашего проекта. - -### Инициализация окружения - -Выполните команду -``` -make setup -``` - -Будет создано новое виртуальное окружение в папке `.venv`. -В него будут установлены пакеты, перечисленные в файле `pyproject.toml`. - -Обратите внимание: если вы один раз выполнили `make setup`, при попытке повторного ее выполнения ничего не произойдет, -поскольку единственная ее зависимость - директория `.venv` - уже существует. -Если вам по какой-то причине нужно пересобрать окружение с нуля, -выполните сначала команду `make clean` - она удалит старое окружение. - -### Установка/удаление пакетов - -Для установки новых пакетов используйте команду `poetry add`, для удаления - `poetry remove`. -Мы не рекомендуем вручную редактировать секцию с зависимостями в `pyproject.toml`. - -## Линтеры, тесты и автоформатирование - -### Автоформатирование - -Командой `make format` можно запустить автоматическое форматирование вашего кода. - -Сейчас ее выполнение приведет лишь к запуску [isort](https://github.com/PyCQA/isort) - утилиты -для сортировки импортов в нужном порядке. -При желании вы также можете добавить другие инструменты, например [black](https://github.com/psf/black) или -[yapf](https://github.com/google/yapf), которые могут действительно отформатировать код. - - -### Статическая проверка кода - -Командой `make lint` вы запустите проверку линтерами - инструментами для статического анализа кода. -Они помогают выявить ошибки в коде еще до его запуска, а также обнаруживают несоответствия стандарту -[PEP8](https://peps.python.org/pep-0008). - -### Тесты - -Командой `make test` вы запустите тесты при помощи утилиты [pytest](https://pytest.org/). - - -## Запуск приложения - -### Способ 1: Python + Uvicorn - -``` -python main.py -``` - -Приложение запустится локально, в одном процессе. -Хост и порт по умолчанию: `127.0.0.1` и `8080`. -Их можно изменить через переменные окружения `HOST` и `PORT`. - -Управляет процессом легковесный [ASGI](https://asgi.readthedocs.io/en/latest/) server [uvicorn](https://www.uvicorn.org/). - -Обратите внимание: для запуска нужно использовать `python` из окружения проекта. - -### Способ 2: Uvicorn - -``` -uvicorn main:app -``` - -Очень похож на предыдущий, только запуск идет напрямую. -Хост и порт можно передать через аргументы командной строки. - -Обратите внимание: для запуска нужно использовать `uvicorn` из окружения проекта. - - -### Способ 3: Gunicorn - -``` -gunicorn main:app -c gunicorn.config.py -``` - -Способ похож на предыдущий, только вместо `uvicorn` используется -более функциональный сервер [gunicorn](https://gunicorn.org/) (`uvicorn` используется внутри него). -Параметры задаются через конфиг, хост и порт можно задать -через переменные окружения или аргументы командной строки. - -Сервис запускается в несколько параллельных процессов, по умолчанию их число -равно числу ядер процессора. - -Обратите внимание: для запуска нужно использовать `gunicorn` из окружения проекта. - -### Способ 4: Docker - -Делаем все то же самое, но внутри docker-контейнера. -Если вы не знакомы с [docker](https://www.docker.com/), обязательно познакомьтесь. - -Внутри контейнера можно использовать любой из способов, описанных выше. -В продакшене рекомендуется использовать `gunicorn`. - -Собрать и запустить образ можно командой - -``` -make run +## Установка данных с рекомендациями +```bash +pip install -U --no-cache-dir gdown --pre +gdown --id 1ZK_iUE1U9WhD4t2e4jXZdQ9dAbSYcahV ``` -## CI/CD - -Когда вы делаете пуш в гит (в любую ветку), выполняется процесс CI. -Что именно выполняется в этом процессе и как он триггерится (в данном случае по пушу), -описывается в специальных `.yaml` конфигах в папке `.github/workflows`. -Сейчас там есть только один конфиг, который запускает процесс, в котором создается виртуальное окружение, -прогоняются линтеры и тесты. Если что-то пошло не так, процесс падает с ошибкой и в Github появляется красный крестик. -Вам нужно посмотреть логи, исправить ошибку и запушить изменения. +## Contributors +1. Renat Shakirov +2. Vladislav Mostovik +3. Robert Zaraev diff --git a/mypy.ini b/mypy.ini index 3e6252bc..eb9d0f09 100644 --- a/mypy.ini +++ b/mypy.ini @@ -1,2 +1,3 @@ [mypy] allow_untyped_calls = true +ignore_missing_imports = True diff --git a/notebooks/knnfinal.ipynb b/notebooks/knnfinal.ipynb new file mode 100644 index 00000000..ed553674 --- /dev/null +++ b/notebooks/knnfinal.ipynb @@ -0,0 +1,1775 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "c2ZYQcUXr-Hj" + }, + "outputs": [], + "source": [ + "# import sys\n", + "# !{sys.executable} -m pip install rectools==0.2.0" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "id": "xwoQaesPc-dn" + }, + "outputs": [], + "source": [ + "import os\n", + "import pickle\n", + "import random\n", + "import warnings\n", + "\n", + "import numpy as np\n", + "import pandas as pd\n", + "from implicit.nearest_neighbours import (\n", + " BM25Recommender,\n", + " CosineRecommender,\n", + " TFIDFRecommender,\n", + ")\n", + "from rectools import Columns\n", + "from rectools.dataset import Dataset\n", + "from rectools.metrics import (\n", + " MAP,\n", + " MeanInvUserFreq,\n", + " Precision,\n", + " Recall,\n", + " Serendipity,\n", + " calc_metrics,\n", + ")\n", + "from rectools.model_selection import TimeRangeSplit\n", + "from rectools.models import ImplicitItemKNNWrapperModel\n", + "from rectools.models.popular import PopularModel\n", + "\n", + "from service.api.models_zoo import UserKNN\n", + "\n", + "warnings.filterwarnings(\"ignore\")" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "id": "wsIdcoM3r-Hr" + }, + "outputs": [], + "source": [ + "pd.set_option('display.max_columns', None)\n", + "pd.set_option('display.max_colwidth', 200)\n", + "\n", + "seed = 42\n", + "random.seed(seed)\n", + "np.random.seed(seed)\n", + "os.environ['PYTHONHASHSEED'] = str(seed)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 49, + "referenced_widgets": [ + "c0bfd770c7d8427b81f086582511ea5c", + "55a377744d8f4210aa54d169432a875a", + "9e24019e94c447e7bfeac17084db4311", + "ea693d5b828f4422b7c39905b13013bc", + "8c6266d5faaf4cb0a3836dcb27ece76a", + "bed4ba00c1b1496f9575f831392054d6", + "d0744e6c7b314540adb07fd62f9ef474", + "c2afc043a89b4c8f9539ec4977d619da", + "4fffef0974c04f749408a6cefb9eeefb", + "cb25401266de479bb59f1d249183f722", + "5dadbe16150d40c3a71fc5ec29c3b1e2" + ] + }, + "id": "q-MjS-lodBPz", + "outputId": "5566c044-4026-4187-ec5f-9e81342c1606" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "--2022-12-04 17:08:24-- https://storage.yandexcloud.net/itmo-recsys-public-data/kion_train.zip\r\n", + "Resolving storage.yandexcloud.net (storage.yandexcloud.net)... 213.180.193.243\r\n", + "Connecting to storage.yandexcloud.net (storage.yandexcloud.net)|213.180.193.243|:443... connected.\r\n", + "HTTP request sent, awaiting response... 200 OK\r\n", + "Length: 78795385 (75M) [application/zip]\r\n", + "Saving to: ‘../data/data_original.zip’\r\n", + "\r\n", + "../data/data_origin 100%[===================>] 75.14M 8.72MB/s in 8.7s \r\n", + "\r\n", + "2022-12-04 17:08:33 (8.64 MB/s) - ‘../data/data_original.zip’ saved [78795385/78795385]\r\n", + "\r\n", + "Archive: ../data/data_original.zip\r\n", + " creating: ../data/kion_train/\r\n", + " inflating: ../data/kion_train/interactions.csv \r\n", + " inflating: ../data/__MACOSX/kion_train/._interactions.csv \r\n", + " inflating: ../data/kion_train/users.csv \r\n", + " inflating: ../data/__MACOSX/kion_train/._users.csv \r\n", + " inflating: ../data/kion_train/items.csv \r\n", + " inflating: ../data/__MACOSX/kion_train/._items.csv \r\n" + ] + } + ], + "source": [ + "# download dataset by chunks\n", + "# !wget https://storage.yandexcloud.net/itmo-recsys-public-data/kion_train.zip -O ../data/data_original.zip\n", + "# !unzip ../data/data_original.zip -d ../data" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "eyAk_oJ9dDIo" + }, + "outputs": [], + "source": [ + "interactions = pd.read_csv('../data/kion_train/interactions.csv')\n", + "users = pd.read_csv('../data/kion_train/users.csv')\n", + "items = pd.read_csv('../data/kion_train/items.csv')\n", + "\n", + "# rename columns, convert timestamp\n", + "interactions.rename(columns={'last_watch_dt': Columns.Datetime,\n", + " 'total_dur': Columns.Weight},\n", + " inplace=True)\n", + "\n", + "interactions['datetime'] = pd.to_datetime(interactions['datetime'])" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "h-0_YSEcgP0T" + }, + "source": [ + "## Train test split" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "u0b5O2ZogHda", + "outputId": "fe048371-9885-4497-d9c0-385d2159709b" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Start date and last date of the test fold: (Timestamp('2021-08-08 00:00:00'), Timestamp('2021-08-22 00:00:00'))\n", + "Test fold borders: ['2021-08-08' '2021-08-15']\n", + "Real number of folds: 1\n" + ] + } + ], + "source": [ + "# train test split\n", + "# test = last 1 week\n", + "n_folds = 1\n", + "unit = \"W\"\n", + "n_units = 1\n", + "periods = n_folds + 1\n", + "\n", + "last_date = interactions[Columns.Datetime].max().normalize()\n", + "start_date = last_date - pd.Timedelta(n_folds * n_units + 1, unit=unit) # TimeDelta возвращает длительность промежутка между датами\n", + "print(f\"Start date and last date of the test fold: {start_date, last_date}\")\n", + "\n", + "date_range = pd.date_range(start=start_date, periods=periods, freq=unit, tz=last_date.tz)\n", + "print(f\"Test fold borders: {date_range.values.astype('datetime64[D]')}\")\n", + "\n", + "# generator of folds\n", + "cv = TimeRangeSplit(\n", + " date_range=date_range,\n", + " filter_already_seen=True,\n", + " filter_cold_items=True,\n", + " filter_cold_users=True,\n", + ")\n", + "print(f\"Real number of folds: {cv.get_n_splits(interactions)}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "id": "Ja9ZQu32h2vk" + }, + "outputs": [], + "source": [ + "(train_ids, test_ids, fold_info) = cv.split(interactions, collect_fold_stats=True).__next__()" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "id": "NN5AeKz1jHGT" + }, + "outputs": [], + "source": [ + "train = interactions.loc[train_ids].reset_index(drop=True)\n", + "test = interactions.loc[test_ids].reset_index(drop=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 206 + }, + "id": "cfaUmHKatbdC", + "outputId": "17223815-8dd6-4ba2-bd41-5dc3d933f92b" + }, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "
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prec@10recall@10mAP@10noveltyserendipity
tfidf (k = 5)0.0273600.1337820.0702007.9742070.000029
tfidf (k = 10)0.0338000.1678530.0780747.4458090.000025
tfidf (k = 20)0.0346530.1712680.0794257.2219530.000022
bm25 (k = 5)0.0321570.1585910.0886713.8407790.000017
bm25 (k = 10)0.0393770.1987620.0956304.0527410.000008
bm25 (k = 20)0.0390990.1992960.0956934.0309990.000006
cossim (k = 5)0.0181920.0950950.05195210.0010410.000015
cossim (k = 10)0.0229150.1191120.0582929.5891260.000015
cossim (k = 20)0.0253750.1316880.0608699.2729950.000015
\n", + "
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\n", + " " + ], + "text/plain": [ + " prec@10 recall@10 mAP@10 novelty serendipity\n", + "tfidf (k = 5) 0.027360 0.133782 0.070200 7.974207 0.000029\n", + "tfidf (k = 10) 0.033800 0.167853 0.078074 7.445809 0.000025\n", + "tfidf (k = 20) 0.034653 0.171268 0.079425 7.221953 0.000022\n", + "bm25 (k = 5) 0.032157 0.158591 0.088671 3.840779 0.000017\n", + "bm25 (k = 10) 0.039377 0.198762 0.095630 4.052741 0.000008\n", + "bm25 (k = 20) 0.039099 0.199296 0.095693 4.030999 0.000006\n", + "cossim (k = 5) 0.018192 0.095095 0.051952 10.001041 0.000015\n", + "cossim (k = 10) 0.022915 0.119112 0.058292 9.589126 0.000015\n", + "cossim (k = 20) 0.025375 0.131688 0.060869 9.272995 0.000015" + ] + }, + "execution_count": 65, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "metricstable = pd.concat([dftfidf, dfbm25, dfcossim])\n", + "metricstable" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "ICg58UPIluoa" + }, + "source": [ + "По метрикам лучше всего себя показал BM25 (ожидаемо) и хуже всего обычное косинусное расстояние." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "lbXx7KFalaaX" + }, + "source": [ + "Добьем лучшую модель популярными фильмами" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": { + "id": "CH4AD9z2lZxf" + }, + "outputs": [], + "source": [ + "pop = PopularModel(popularity='n_users')\n", + "pop.fit(train_df);" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": { + "id": "jRCsNHLdlyML" + }, + "outputs": [], + "source": [ + "recopop = pop.recommend(\n", + " users=train[Columns.User].unique(),\n", + " dataset=train_df,\n", + " k=N,\n", + " filter_viewed=False\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": { + "id": "MqAkDAuOhM5L" + }, + "outputs": [], + "source": [ + "recoms = pd.concat([recos_bm25, recopop])\n", + "recoms = recoms.drop_duplicates(keep='first', subset=['user_id', 'item_id'])\n", + "recoms['rank'] = recoms.groupby('user_id')['user_id'].rank(method='first')\n", + "recoms = recoms[recoms['rank'] <= 10]" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": { + "id": "-I8aowXIhKXi" + }, + "outputs": [], + "source": [ + "metric_values_bm25pop = calc_metrics(\n", + " metrics,\n", + " reco=recoms,\n", + " interactions=test,\n", + " prev_interactions=train,\n", + " catalog=catalog\n", + " )" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "rGrQ-V93hdbo", + "outputId": "3930a528-9509-447e-f657-3c966b11544d" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "prec@10 0.039099\n", + "recall@10 0.199296\n", + "mAP@10 0.095693\n", + "novelty 4.030830\n", + "serendipity 0.000006\n", + "dtype: float64" + ] + }, + "execution_count": 55, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "bm25pop = pd.Series(metric_values_bm25pop) # Подсчет метрик для BM25(k=20) + Popular" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "wTzagFdgj5FZ" + }, + "outputs": [], + "source": [ + "recoms.to_csv('BM25pop.csv.gz', index=False, compression='gzip')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "VyyLC_bQm4nf" + }, + "source": [ + "Другой вариант: объединим предсказания 3-х видов KNN. Объединяем в другом порядке - другой вариант ранжирования." + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "metadata": { + "id": "dACHbmR_m2R1" + }, + "outputs": [], + "source": [ + "recoms = pd.concat([recos_bm25, recos_cossim, recos_tfidf])\n", + "recoms = recoms.drop_duplicates(keep='first', subset=['user_id', 'item_id'])\n", + "recoms['rank'] = recoms.groupby('user_id')['user_id'].rank(method='first')\n", + "recoms = recoms[recoms['rank'] <= 10]\n" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "metadata": { + "id": "n9jG7aGwjZpV" + }, + "outputs": [], + "source": [ + "metric_values_blend = calc_metrics(\n", + " metrics,\n", + " reco=recoms,\n", + " interactions=test,\n", + " prev_interactions=train,\n", + " catalog=catalog\n", + " )" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "FYlMeu9tjw-y", + "outputId": "f6ff6f99-2a01-47e1-efa1-c8932cb8a6e7" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "prec@10 0.039099\n", + "recall@10 0.199296\n", + "mAP@10 0.095693\n", + "novelty 4.030999\n", + "serendipity 0.000006\n", + "dtype: float64" + ] + }, + "execution_count": 63, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "blend = pd.Series(metric_values_blend) # Подсчет метрик для 3-х моделей (BM25, TF-IDF, CosSim), k=20\n", + "blend" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "Jy4W7Nw-mjhx" + }, + "outputs": [], + "source": [ + "recoms.to_csv('BM25TFCOS.csv.gz', index=False, compression='gzip')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "J0Es83AqpCtU" + }, + "source": [ + "# Final Model" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "CfxxOuIjpiB3" + }, + "outputs": [], + "source": [ + "model = UserKNN(dist_model=BM25Recommender(K=10, K1=2), n_neighbors=10)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 49, + "referenced_widgets": [ + "447339f3340240428c24808b16e09464", + "d1cc5098c64b4dc299000cea59734c55", + "857b251ecc8041bfa82d2681298a4417", + "cdb765667fee44ae9f5c5ba91ace415f", + "05e04191a34c4edcbbfe142680b5d257", + "6436440b8a3341f0973e8f81f47cce23", + "c8fb29976e8e46198a3ae5ade40f33e9", + "41b2b540a3154ef3af02c9f80f499b43", + "9246664fc9ad42e2a3b9bb148d705f8b", + "652bfc24e28f4d998f24fb63b822b4d5", + "ea39a4d2e46f42f4bdc0da75ef2333d2", + "e2153c9e42704498a407b677413b6bb3" + ] + }, + "id": "gyWTBqzz7kP1", + "outputId": "4736e536-1d4e-4998-d447-2dc242a32366" + }, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "e2153c9e42704498a407b677413b6bb3", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + " 0%| | 0/842129 [00:00\n", + "
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user_iditem_iddatetimeweightwatched_pct
017654995062021-05-11425072.0
169931716592021-05-298317100.0
265668371072021-05-09100.0
386461376382021-07-0514483100.0
496486895062021-04-306725100.0
5476246648596122252021-08-13760.0
547624754686296732021-04-13230849.0
5476248697262152972021-08-201830763.0
5476249384202161972021-04-196203100.0
547625031970944362021-08-15392145.0
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user_idageincomesexkids_flg
0973171age_25_34income_60_90М1
1962099age_18_24income_20_40М0
21047345age_45_54income_40_60Ж0
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4704055age_35_44income_60_90Ж0
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840193983617age_18_24income_20_40Ж1
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item_idcontent_typetitletitle_origrelease_yeargenrescountriesfor_kidsage_ratingstudiosdirectorsactorsdescriptionkeywords
010711filmПоговори с нейHable con ella2002.0драмы, зарубежные, детективы, мелодрамыИспанияNaN16.0NaNПедро АльмодоварАдольфо Фернандес, Ана Фернандес, Дарио Гранди...Мелодрама легендарного Педро Альмодовара «Пого...Поговори, ней, 2002, Испания, друзья, любовь, ...
12508filmГолые перцыSearch Party2014.0зарубежные, приключения, комедииСШАNaN16.0NaNСкот АрмстронгАдам Палли, Брайан Хаски, Дж.Б. Смув, Джейсон ...Уморительная современная комедия на популярную...Голые, перцы, 2014, США, друзья, свадьбы, прео...
210716filmТактическая силаTactical Force2011.0криминал, зарубежные, триллеры, боевики, комедииКанадаNaN16.0NaNАдам П. КалтрароАдриан Холмс, Даррен Шалави, Джерри Вассерман,...Профессиональный рестлер Стив Остин («Все или ...Тактическая, сила, 2011, Канада, бандиты, ганг...
1596010632seriesСговорHassel2017.0драмы, триллеры, криминалРоссия0.018.0NaNЭшреф Рейбрук, Амир Камдин, Эрик ЭгерОла Рапас, Алиетт Офейм, Уильма Лиден, Шанти Р...Криминальная драма по мотивам романов о шведск...Сговор, 2017, Россия
159614538seriesСреди камнейDarklands2019.0драмы, спорт, криминалРоссия0.018.0NaNМарк О’Коннор, Конор МакМахонДэйн Уайт О’Хара, Томас Кэйн-Бирн, Джудит Родд...Семнадцатилетний Дэмиен мечтает вырваться за п...Среди, камней, 2019, Россия
159623206seriesГошаNaN2019.0комедииРоссия0.016.0NaNМихаил МироновМкртыч Арзуманян, Виктория РунцоваДобродушный Гоша не может выйти из дома, чтобы...Гоша, 2019, Россия
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Калтраро \n", + "15960 18.0 NaN Эшреф Рейбрук, Амир Камдин, Эрик Эгер \n", + "15961 18.0 NaN Марк О’Коннор, Конор МакМахон \n", + "15962 16.0 NaN Михаил Миронов \n", + "\n", + " actors \\\n", + "0 Адольфо Фернандес, Ана Фернандес, Дарио Гранди... \n", + "1 Адам Палли, Брайан Хаски, Дж.Б. Смув, Джейсон ... \n", + "2 Адриан Холмс, Даррен Шалави, Джерри Вассерман,... \n", + "15960 Ола Рапас, Алиетт Офейм, Уильма Лиден, Шанти Р... \n", + "15961 Дэйн Уайт О’Хара, Томас Кэйн-Бирн, Джудит Родд... \n", + "15962 Мкртыч Арзуманян, Виктория Рунцова \n", + "\n", + " description \\\n", + "0 Мелодрама легендарного Педро Альмодовара «Пого... \n", + "1 Уморительная современная комедия на популярную... \n", + "2 Профессиональный рестлер Стив Остин («Все или ... \n", + "15960 Криминальная драма по мотивам романов о шведск... \n", + "15961 Семнадцатилетний Дэмиен мечтает вырваться за п... \n", + "15962 Добродушный Гоша не может выйти из дома, чтобы... \n", + "\n", + " keywords \n", + "0 Поговори, ней, 2002, Испания, друзья, любовь, ... \n", + "1 Голые, перцы, 2014, США, друзья, свадьбы, прео... \n", + "2 Тактическая, сила, 2011, Канада, бандиты, ганг... \n", + "15960 Сговор, 2017, Россия \n", + "15961 Среди, камней, 2019, Россия \n", + "15962 Гоша, 2019, Россия " + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pd.concat([items.head(3), items.tail(3)])" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "4f51e2a5", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "4f51e2a5", + "outputId": "a24e7ba6-f9e4-4d5b-f1da-19b086053a15" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Items dataframe shape (15963, 14)\n", + "Unique item_id: 15_963\n" + ] + } + ], + "source": [ + "print(f\"Items dataframe shape {items.shape}\")\n", + "print(f\"Unique item_id: {items['item_id'].nunique():_}\") # Количество уникальных фильмов" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "xP5lhIpwlzJL", + "metadata": { + "id": "xP5lhIpwlzJL" + }, + "outputs": [], + "source": [ + "def seed_everything(seed = 42):\n", + " random.seed(seed)\n", + " np.random.seed(seed)\n", + " os.environ['PYTHONHASHSEED'] = str(seed)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "b7ff3d28", + "metadata": { + "id": "b7ff3d28" + }, + "outputs": [], + "source": [ + "dataset = Dataset.construct(\n", + " interactions_df=interactions\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "CoZZNfLAACaU", + "metadata": { + "id": "CoZZNfLAACaU" + }, + "outputs": [], + "source": [ + "begin = interactions[\"datetime\"].max().normalize() - pd.DateOffset(months=1) # Возьмем популярное за месяц" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "402de110", + "metadata": { + "id": "402de110" + }, + "outputs": [], + "source": [ + "pop = PopularModel(popularity='n_users', begin_from=begin)\n", + "pop.fit(dataset);" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "tYff0F2Ob9vM", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "tYff0F2Ob9vM", + "outputId": "aa662a83-f122-4f81-c480-35688ba46ff9" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[10440, 15297, 9728, 13865, 3734, 12192, 4151, 11863, 7793, 7829]" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "N = 10 # Количество рекомендаций\n", + "reco = pop.recommend(\n", + " users=dataset.user_id_map.external_ids[:1], \n", + " dataset=dataset, # Из какого датасета брать фильмы\n", + " k=N, \n", + " filter_viewed=False\n", + ")\n", + "reco.item_id.tolist()\n" + ] + }, + { + "cell_type": "markdown", + "id": "ghvwFbCmm2Ui", + "metadata": { + "id": "ghvwFbCmm2Ui" + }, + "source": [ + "В конечном итоге от использования фичей отказались, т.к. они не дали прироста. Всем рекомендуем одно и то же." + ] + } + ], + "metadata": { + "colab": { + "collapsed_sections": [ + "ubhX7M7Il1jb", + "ed3cee99", + "5d3cc153", + "443a1a94" + ], + "provenance": [] + }, + "gpuClass": "standard", + "kernelspec": { + "display_name": "Python 3", + "name": "python3" + }, + "language_info": { + "name": "python" + }, + "widgets": { + "application/vnd.jupyter.widget-state+json": { + "1b26bbf162b948eab26451d55d465f20": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HBoxModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_65da4db202304f2bb90b9ad17e4ba9eb", + "IPY_MODEL_cef5f45f67854f129d71cc20f91e7919", + 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"main" +optional = false +python-versions = ">=3.6.2" + +[package.dependencies] +idna = ">=2.8" +sniffio = ">=1.1" + +[package.extras] +doc = ["packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"] +test = ["contextlib2", "coverage[toml] (>=4.5)", "hypothesis (>=4.0)", "mock (>=4)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (<0.15)", "uvloop (>=0.15)"] +trio = ["trio (>=0.16,<0.22)"] + +[[package]] +name = "appnope" +version = "0.1.3" +description = "Disable App Nap on macOS >= 10.9" +category = "main" +optional = false +python-versions = "*" + +[[package]] +name = "argon2-cffi" +version = "21.3.0" +description = "The secure Argon2 password hashing algorithm." +category = "main" +optional = false +python-versions = ">=3.6" + +[package.dependencies] +argon2-cffi-bindings = "*" + +[package.extras] +dev = ["cogapp", "coverage[toml] (>=5.0.2)", "furo", "hypothesis", "pre-commit", "pytest", "sphinx", "sphinx-notfound-page", "tomli"] +docs = ["furo", "sphinx", "sphinx-notfound-page"] +tests = ["coverage[toml] (>=5.0.2)", "hypothesis", "pytest"] + +[[package]] +name = "argon2-cffi-bindings" +version = "21.2.0" +description = "Low-level CFFI bindings for Argon2" +category = "main" +optional = false +python-versions = ">=3.6" + +[package.dependencies] +cffi = ">=1.0.1" + +[package.extras] +dev = ["cogapp", "pre-commit", "pytest", "wheel"] +tests = ["pytest"] + [[package]] name = "asgiref" version = "3.5.2" @@ -21,6 +77,20 @@ python-versions = "~=3.6" lazy-object-proxy = ">=1.4.0" wrapt = ">=1.11,<1.13" +[[package]] +name = "asttokens" +version = "2.2.0" +description = "Annotate AST trees with source code positions" +category = "main" +optional = false +python-versions = "*" + +[package.dependencies] +six = "*" + +[package.extras] +test = ["astroid", "pytest"] + [[package]] name = "atomicwrites" version = "1.4.1" @@ -33,7 +103,7 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" name = "attrs" version = "22.1.0" description = "Classes Without Boilerplate" -category = "dev" +category = "main" optional = false python-versions = ">=3.5" @@ -43,6 +113,14 @@ docs = ["furo", "sphinx", "sphinx-notfound-page", "zope.interface"] tests = ["cloudpickle", "coverage[toml] (>=5.0.2)", "hypothesis", "mypy (>=0.900,!=0.940)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "zope.interface"] tests-no-zope = ["cloudpickle", "coverage[toml] (>=5.0.2)", "hypothesis", "mypy (>=0.900,!=0.940)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins"] +[[package]] +name = "backcall" +version = "0.2.0" +description = "Specifications for callback functions passed in to an API" +category = "main" +optional = false +python-versions = "*" + [[package]] name = "bandit" version = "1.7.4" @@ -62,6 +140,37 @@ test = ["beautifulsoup4 (>=4.8.0)", "coverage (>=4.5.4)", "fixtures (>=3.0.0)", toml = ["toml"] yaml = ["PyYAML"] +[[package]] +name = "beautifulsoup4" +version = "4.11.1" +description = "Screen-scraping library" +category = "main" +optional = false +python-versions = ">=3.6.0" + +[package.dependencies] +soupsieve = ">1.2" + +[package.extras] +html5lib = ["html5lib"] +lxml = ["lxml"] + +[[package]] +name = "bleach" +version = "5.0.1" +description = "An easy safelist-based HTML-sanitizing tool." +category = "main" +optional = false +python-versions = ">=3.7" + +[package.dependencies] +six = ">=1.9.0" +webencodings = "*" + +[package.extras] +css = ["tinycss2 (>=1.1.0,<1.2)"] +dev = ["Sphinx (==4.3.2)", "black (==22.3.0)", "build (==0.8.0)", "flake8 (==4.0.1)", "hashin (==0.17.0)", "mypy (==0.961)", "pip-tools (==6.6.2)", "pytest (==7.1.2)", "tox (==3.25.0)", "twine (==4.0.1)", "wheel (==0.37.1)"] + [[package]] name = "certifi" version = "2022.9.24" @@ -70,6 +179,17 @@ category = "dev" optional = false python-versions = ">=3.6" +[[package]] +name = "cffi" +version = "1.15.1" +description = "Foreign Function Interface for Python calling C code." +category = "main" +optional = false +python-versions = "*" + +[package.dependencies] +pycparser = "*" + [[package]] name = "chardet" version = "4.0.0" @@ -97,6 +217,60 @@ category = "main" optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +[[package]] +name = "debugpy" +version = "1.6.4" +description = "An implementation of the Debug Adapter Protocol for Python" +category = "main" +optional = false +python-versions = ">=3.7" + +[[package]] +name = "decorator" +version = "5.1.1" +description = "Decorators for Humans" +category = "main" +optional = false +python-versions = ">=3.5" + +[[package]] +name = "defusedxml" +version = "0.7.1" +description = "XML bomb protection for Python stdlib modules" +category = "main" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" + +[[package]] +name = "dill" +version = "0.3.6" +description = "serialize all of python" +category = "main" +optional = false +python-versions = ">=3.7" + +[package.extras] +graph = ["objgraph (>=1.7.2)"] + +[[package]] +name = "entrypoints" +version = "0.4" +description = "Discover and load entry points from installed packages." +category = "main" +optional = false +python-versions = ">=3.6" + +[[package]] +name = "executing" +version = "1.2.0" +description = "Get the currently executing AST node of a frame, and other information" +category = "main" +optional = false +python-versions = "*" + +[package.extras] +tests = ["asttokens", "littleutils", "pytest", "rich"] + [[package]] name = "fastapi" version = "0.65.3" @@ -115,6 +289,17 @@ dev = ["autoflake (>=1.3.1,<2.0.0)", "flake8 (>=3.8.3,<4.0.0)", "graphene (>=2.1 doc = ["markdown-include (>=0.6.0,<0.7.0)", "mkdocs (>=1.1.2,<2.0.0)", "mkdocs-markdownextradata-plugin (>=0.1.7,<0.2.0)", "mkdocs-material (>=7.1.9,<8.0.0)", "pyyaml (>=5.3.1,<6.0.0)", "typer-cli (>=0.0.12,<0.0.13)"] test = ["aiofiles (>=0.5.0,<0.6.0)", "async_exit_stack (>=1.0.1,<2.0.0)", "async_generator (>=1.10,<2.0.0)", "black (==20.8b1)", "databases[sqlite] (>=0.3.2,<0.4.0)", "email_validator (>=1.1.1,<2.0.0)", "flake8 (>=3.8.3,<4.0.0)", "flask (>=1.1.2,<2.0.0)", "httpx (>=0.14.0,<0.15.0)", "isort (>=5.0.6,<6.0.0)", "mypy (==0.812)", "orjson (>=3.2.1,<4.0.0)", "peewee (>=3.13.3,<4.0.0)", "pytest (==5.4.3)", "pytest-asyncio (>=0.14.0,<0.15.0)", "pytest-cov (==2.10.0)", "python-multipart (>=0.0.5,<0.0.6)", "requests (>=2.24.0,<3.0.0)", "sqlalchemy (>=1.3.18,<1.4.0)", "ujson (>=4.0.1,<5.0.0)"] +[[package]] +name = "fastjsonschema" +version = "2.16.2" +description = "Fastest Python implementation of JSON schema" +category = "main" +optional = false +python-versions = "*" + +[package.extras] +devel = ["colorama", "json-spec", "jsonschema", "pylint", "pytest", "pytest-benchmark", "pytest-cache", "validictory"] + [[package]] name = "flake8" version = "3.9.2" @@ -130,11 +315,11 @@ pyflakes = ">=2.3.0,<2.4.0" [[package]] name = "gitdb" -version = "4.0.9" +version = "4.0.10" description = "Git Object Database" category = "dev" optional = false -python-versions = ">=3.6" +python-versions = ">=3.7" [package.dependencies] smmap = ">=3.0.1,<6" @@ -179,10 +364,54 @@ python-versions = ">=3.7" name = "idna" version = "2.10" description = "Internationalized Domain Names in Applications (IDNA)" -category = "dev" +category = "main" optional = false python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" +[[package]] +name = "implicit" +version = "0.6.1" +description = "Collaborative Filtering for Implicit Feedback Datasets" +category = "main" +optional = false +python-versions = "*" + +[package.dependencies] +numpy = "*" +scipy = ">=0.16" +tqdm = ">=4.27" + +[[package]] +name = "importlib-metadata" +version = "5.1.0" +description = "Read metadata from Python packages" +category = "main" +optional = false +python-versions = ">=3.7" + +[package.dependencies] +zipp = ">=0.5" + +[package.extras] +docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)"] +perf = ["ipython"] +testing = ["flake8 (<5)", "flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)", "pytest-perf (>=0.9.2)"] + +[[package]] +name = "importlib-resources" +version = "5.10.0" +description = "Read resources from Python packages" +category = "main" +optional = false +python-versions = ">=3.7" + +[package.dependencies] +zipp = {version = ">=3.1.0", markers = "python_version < \"3.10\""} + +[package.extras] +docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)"] +testing = ["flake8 (<5)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)"] + [[package]] name = "iniconfig" version = "1.1.1" @@ -191,6 +420,92 @@ category = "dev" optional = false python-versions = "*" +[[package]] +name = "ipykernel" +version = "6.17.1" +description = "IPython Kernel for Jupyter" +category = "main" +optional = false +python-versions = ">=3.8" + +[package.dependencies] +appnope = {version = "*", markers = "platform_system == \"Darwin\""} +debugpy = ">=1.0" +ipython = ">=7.23.1" +jupyter-client = ">=6.1.12" +matplotlib-inline = ">=0.1" +nest-asyncio = "*" +packaging = "*" +psutil = "*" +pyzmq = ">=17" +tornado = ">=6.1" +traitlets = ">=5.1.0" + +[package.extras] +docs = ["myst-parser", "pydata-sphinx-theme", "sphinx", "sphinxcontrib-github-alt"] +test = ["flaky", "ipyparallel", "pre-commit", "pytest (>=7.0)", "pytest-cov", "pytest-timeout"] + +[[package]] +name = "ipython" +version = "8.7.0" +description = "IPython: Productive Interactive Computing" +category = "main" +optional = false +python-versions = ">=3.8" + +[package.dependencies] +appnope = {version = "*", markers = "sys_platform == \"darwin\""} +backcall = "*" +colorama = {version = "*", markers = "sys_platform == \"win32\""} +decorator = "*" +jedi = ">=0.16" +matplotlib-inline = "*" +pexpect = {version = ">4.3", markers = "sys_platform != \"win32\""} +pickleshare = "*" +prompt-toolkit = ">=3.0.11,<3.1.0" +pygments = ">=2.4.0" +stack-data = "*" +traitlets = ">=5" + +[package.extras] +all = ["black", "curio", "docrepr", "ipykernel", "ipyparallel", "ipywidgets", "matplotlib", "matplotlib (!=3.2.0)", "nbconvert", "nbformat", "notebook", "numpy (>=1.20)", "pandas", "pytest (<7)", "pytest (<7.1)", "pytest-asyncio", "qtconsole", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "trio", "typing-extensions"] +black = ["black"] +doc = ["docrepr", "ipykernel", "matplotlib", "pytest (<7)", "pytest (<7.1)", "pytest-asyncio", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "typing-extensions"] +kernel = ["ipykernel"] +nbconvert = ["nbconvert"] +nbformat = ["nbformat"] +notebook = ["ipywidgets", "notebook"] +parallel = ["ipyparallel"] +qtconsole = ["qtconsole"] +test = ["pytest (<7.1)", "pytest-asyncio", "testpath"] +test-extra = ["curio", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.20)", "pandas", "pytest (<7.1)", "pytest-asyncio", "testpath", "trio"] + +[[package]] +name = "ipython-genutils" +version = "0.2.0" +description = "Vestigial utilities from IPython" +category = "main" +optional = false +python-versions = "*" + +[[package]] +name = "ipywidgets" +version = "8.0.2" +description = "Jupyter interactive widgets" +category = "main" +optional = false +python-versions = ">=3.7" + +[package.dependencies] +ipykernel = ">=4.5.1" +ipython = ">=6.1.0" +jupyterlab-widgets = ">=3.0,<4.0" +traitlets = ">=4.3.1" +widgetsnbextension = ">=4.0,<5.0" + +[package.extras] +test = ["jsonschema", "pytest (>=3.6.0)", "pytest-cov", "pytz"] + [[package]] name = "isort" version = "5.10.1" @@ -205,6 +520,179 @@ pipfile-deprecated-finder = ["pipreqs", "requirementslib"] plugins = ["setuptools"] requirements-deprecated-finder = ["pip-api", "pipreqs"] +[[package]] +name = "jedi" +version = "0.18.2" +description = "An autocompletion tool for Python that can be used for text editors." +category = "main" +optional = false +python-versions = ">=3.6" + +[package.dependencies] +parso = ">=0.8.0,<0.9.0" + +[package.extras] +docs = ["Jinja2 (==2.11.3)", "MarkupSafe (==1.1.1)", "Pygments (==2.8.1)", "alabaster (==0.7.12)", "babel (==2.9.1)", "chardet (==4.0.0)", "commonmark (==0.8.1)", "docutils (==0.17.1)", "future (==0.18.2)", "idna (==2.10)", "imagesize (==1.2.0)", "mock (==1.0.1)", "packaging (==20.9)", "pyparsing (==2.4.7)", "pytz (==2021.1)", "readthedocs-sphinx-ext (==2.1.4)", "recommonmark (==0.5.0)", "requests (==2.25.1)", "six (==1.15.0)", "snowballstemmer (==2.1.0)", "sphinx (==1.8.5)", "sphinx-rtd-theme (==0.4.3)", "sphinxcontrib-serializinghtml (==1.1.4)", "sphinxcontrib-websupport (==1.2.4)", "urllib3 (==1.26.4)"] +qa = ["flake8 (==3.8.3)", "mypy (==0.782)"] +testing = ["Django (<3.1)", "attrs", "colorama", "docopt", "pytest (<7.0.0)"] + +[[package]] +name = "jinja2" +version = "3.1.2" +description = "A very fast and expressive template engine." +category = "main" +optional = false +python-versions = ">=3.7" + +[package.dependencies] +MarkupSafe = ">=2.0" + +[package.extras] +i18n = ["Babel (>=2.7)"] + +[[package]] +name = "joblib" +version = "1.2.0" +description = "Lightweight pipelining with Python functions" +category = "main" +optional = false +python-versions = ">=3.7" + +[[package]] +name = "jsonschema" +version = "4.17.3" +description = "An implementation of JSON Schema validation for Python" +category = "main" +optional = false +python-versions = ">=3.7" + +[package.dependencies] +attrs = ">=17.4.0" +importlib-resources = {version = ">=1.4.0", markers = "python_version < \"3.9\""} +pkgutil-resolve-name = {version = ">=1.3.10", markers = "python_version < \"3.9\""} +pyrsistent = ">=0.14.0,<0.17.0 || >0.17.0,<0.17.1 || >0.17.1,<0.17.2 || >0.17.2" + +[package.extras] +format = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3987", "uri-template", "webcolors (>=1.11)"] +format-nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3986-validator (>0.1.0)", "uri-template", "webcolors (>=1.11)"] + +[[package]] +name = "jupyter" +version = "1.0.0" +description = "Jupyter metapackage. Install all the Jupyter components in one go." +category = "main" +optional = false +python-versions = "*" + +[package.dependencies] +ipykernel = "*" +ipywidgets = "*" +jupyter-console = "*" +nbconvert = "*" +notebook = "*" +qtconsole = "*" + +[[package]] +name = "jupyter-client" +version = "7.4.7" +description = "Jupyter protocol implementation and client libraries" +category = "main" +optional = false +python-versions = ">=3.7" + +[package.dependencies] +entrypoints = "*" +jupyter-core = ">=4.9.2" +nest-asyncio = ">=1.5.4" +python-dateutil = ">=2.8.2" +pyzmq = ">=23.0" +tornado = ">=6.2" +traitlets = "*" + +[package.extras] +doc = ["ipykernel", "myst-parser", "sphinx (>=1.3.6)", "sphinx-rtd-theme", "sphinxcontrib-github-alt"] +test = ["codecov", "coverage", "ipykernel (>=6.12)", "ipython", "mypy", "pre-commit", "pytest", "pytest-asyncio (>=0.18)", "pytest-cov", "pytest-timeout"] + +[[package]] +name = "jupyter-console" +version = "6.4.4" +description = "Jupyter terminal console" +category = "main" +optional = false +python-versions = ">=3.7" + +[package.dependencies] +ipykernel = "*" +ipython = "*" +jupyter-client = ">=7.0.0" +prompt-toolkit = ">=2.0.0,<3.0.0 || >3.0.0,<3.0.1 || >3.0.1,<3.1.0" +pygments = "*" + +[package.extras] +test = ["pexpect"] + +[[package]] +name = "jupyter-core" +version = "5.1.0" +description = "Jupyter core package. A base package on which Jupyter projects rely." +category = "main" +optional = false +python-versions = ">=3.8" + +[package.dependencies] +platformdirs = ">=2.5" +pywin32 = {version = ">=1.0", markers = "sys_platform == \"win32\" and platform_python_implementation != \"PyPy\""} +traitlets = ">=5.3" + +[package.extras] +docs = ["myst-parser", "sphinxcontrib-github-alt", "traitlets"] +test = ["ipykernel", "pre-commit", "pytest", "pytest-cov", "pytest-timeout"] + +[[package]] +name = "jupyter-server" +version = "1.23.3" +description = "The backend—i.e. core services, APIs, and REST endpoints—to Jupyter web applications." +category = "main" +optional = false +python-versions = ">=3.7" + +[package.dependencies] +anyio = ">=3.1.0,<4" +argon2-cffi = "*" +jinja2 = "*" +jupyter-client = ">=6.1.12" +jupyter-core = ">=4.7.0" +nbconvert = ">=6.4.4" +nbformat = ">=5.2.0" +packaging = "*" +prometheus-client = "*" +pywinpty = {version = "*", markers = "os_name == \"nt\""} +pyzmq = ">=17" +Send2Trash = "*" +terminado = ">=0.8.3" +tornado = ">=6.1.0" +traitlets = ">=5.1" +websocket-client = "*" + +[package.extras] +test = ["coverage", "ipykernel", "pre-commit", "pytest (>=7.0)", "pytest-console-scripts", "pytest-cov", "pytest-mock", "pytest-timeout", "pytest-tornasync", "requests"] + +[[package]] +name = "jupyterlab-pygments" +version = "0.2.2" +description = "Pygments theme using JupyterLab CSS variables" +category = "main" +optional = false +python-versions = ">=3.7" + +[[package]] +name = "jupyterlab-widgets" +version = "3.0.3" +description = "Jupyter interactive widgets for JupyterLab" +category = "main" +optional = false +python-versions = ">=3.7" + [[package]] name = "lazy-object-proxy" version = "1.8.0" @@ -213,6 +701,25 @@ category = "dev" optional = false python-versions = ">=3.7" +[[package]] +name = "markupsafe" +version = "2.1.1" +description = "Safely add untrusted strings to HTML/XML markup." +category = "main" +optional = false +python-versions = ">=3.7" + +[[package]] +name = "matplotlib-inline" +version = "0.1.6" +description = "Inline Matplotlib backend for Jupyter" +category = "main" +optional = false +python-versions = ">=3.5" + +[package.dependencies] +traitlets = "*" + [[package]] name = "mccabe" version = "0.6.1" @@ -221,6 +728,14 @@ category = "dev" optional = false python-versions = "*" +[[package]] +name = "mistune" +version = "2.0.4" +description = "A sane Markdown parser with useful plugins and renderers" +category = "main" +optional = false +python-versions = "*" + [[package]] name = "mypy" version = "0.812" @@ -245,9 +760,173 @@ category = "dev" optional = false python-versions = "*" +[[package]] +name = "nbclassic" +version = "0.4.8" +description = "A web-based notebook environment for interactive computing" +category = "main" +optional = false +python-versions = ">=3.7" + +[package.dependencies] +argon2-cffi = "*" +ipykernel = "*" +ipython-genutils = "*" +jinja2 = "*" +jupyter-client = ">=6.1.1" +jupyter-core = ">=4.6.1" +jupyter-server = ">=1.8" +nbconvert = ">=5" +nbformat = "*" +nest-asyncio = ">=1.5" +notebook-shim = ">=0.1.0" +prometheus-client = "*" +pyzmq = ">=17" +Send2Trash = ">=1.8.0" +terminado = ">=0.8.3" +tornado = ">=6.1" +traitlets = ">=4.2.1" + +[package.extras] +docs = ["myst-parser", "nbsphinx", "sphinx", "sphinx-rtd-theme", "sphinxcontrib-github-alt"] +json-logging = ["json-logging"] +test = ["coverage", "nbval", "pytest", "pytest-cov", "pytest-playwright", "pytest-tornasync", "requests", "requests-unixsocket", "testpath"] + +[[package]] +name = "nbclient" +version = "0.7.2" +description = "A client library for executing notebooks. Formerly nbconvert's ExecutePreprocessor." +category = "main" +optional = false +python-versions = ">=3.7.0" + +[package.dependencies] +jupyter-client = ">=6.1.12" +jupyter-core = ">=4.12,<5.0.0 || >=5.1.0" +nbformat = ">=5.1" +traitlets = ">=5.3" + +[package.extras] +dev = ["pre-commit"] +docs = ["autodoc-traits", "mock", "moto", "myst-parser", "nbclient[test]", "sphinx (>=1.7)", "sphinx-book-theme"] +test = ["ipykernel", "ipython", "ipywidgets", "nbconvert (>=7.0.0)", "pytest (>=7.0)", "pytest-asyncio", "pytest-cov (>=4.0)", "testpath", "xmltodict"] + +[[package]] +name = "nbconvert" +version = "7.2.5" +description = "Converting Jupyter Notebooks" +category = "main" +optional = false +python-versions = ">=3.7" + +[package.dependencies] +beautifulsoup4 = "*" +bleach = "*" +defusedxml = "*" +importlib-metadata = {version = ">=3.6", markers = "python_version < \"3.10\""} +jinja2 = ">=3.0" +jupyter-core = ">=4.7" +jupyterlab-pygments = "*" +markupsafe = ">=2.0" +mistune = ">=2.0.3,<3" +nbclient = ">=0.5.0" +nbformat = ">=5.1" +packaging = "*" +pandocfilters = ">=1.4.1" +pygments = ">=2.4.1" +tinycss2 = "*" +traitlets = ">=5.0" + +[package.extras] +all = ["ipykernel", "ipython", "ipywidgets (>=7)", "myst-parser", "nbsphinx (>=0.2.12)", "pre-commit", "pyppeteer (>=1,<1.1)", "pyqtwebengine (>=5.15)", "pytest", "pytest-cov", "pytest-dependency", "sphinx (==5.0.2)", "sphinx-rtd-theme", "tornado (>=6.1)"] +docs = ["ipython", "myst-parser", "nbsphinx (>=0.2.12)", "sphinx (==5.0.2)", "sphinx-rtd-theme"] +qtpdf = ["pyqtwebengine (>=5.15)"] +qtpng = ["pyqtwebengine (>=5.15)"] +serve = ["tornado (>=6.1)"] +test = ["ipykernel", "ipywidgets (>=7)", "pre-commit", "pyppeteer (>=1,<1.1)", "pytest", "pytest-cov", "pytest-dependency"] +webpdf = ["pyppeteer (>=1,<1.1)"] + +[[package]] +name = "nbformat" +version = "5.7.0" +description = "The Jupyter Notebook format" +category = "main" +optional = false +python-versions = ">=3.7" + +[package.dependencies] +fastjsonschema = "*" +jsonschema = ">=2.6" +jupyter-core = "*" +traitlets = ">=5.1" + +[package.extras] +test = ["check-manifest", "pep440", "pre-commit", "pytest", "testpath"] + +[[package]] +name = "nest-asyncio" +version = "1.5.6" +description = "Patch asyncio to allow nested event loops" +category = "main" +optional = false +python-versions = ">=3.5" + +[[package]] +name = "notebook" +version = "6.5.2" +description = "A web-based notebook environment for interactive computing" +category = "main" +optional = false +python-versions = ">=3.7" + +[package.dependencies] +argon2-cffi = "*" +ipykernel = "*" +ipython-genutils = "*" +jinja2 = "*" +jupyter-client = ">=5.3.4" +jupyter-core = ">=4.6.1" +nbclassic = ">=0.4.7" +nbconvert = ">=5" +nbformat = "*" +nest-asyncio = ">=1.5" +prometheus-client = "*" +pyzmq = ">=17" +Send2Trash = ">=1.8.0" +terminado = ">=0.8.3" +tornado = ">=6.1" +traitlets = ">=4.2.1" + +[package.extras] +docs = ["myst-parser", "nbsphinx", "sphinx", "sphinx-rtd-theme", "sphinxcontrib-github-alt"] +json-logging = ["json-logging"] +test = ["coverage", "nbval", "pytest", "pytest-cov", "requests", "requests-unixsocket", "selenium (==4.1.5)", "testpath"] + +[[package]] +name = "notebook-shim" +version = "0.2.2" +description = "A shim layer for notebook traits and config" +category = "main" +optional = false +python-versions = ">=3.7" + +[package.dependencies] +jupyter-server = ">=1.8,<3" + +[package.extras] +test = ["pytest", "pytest-console-scripts", "pytest-tornasync"] + +[[package]] +name = "numpy" +version = "1.23.5" +description = "NumPy is the fundamental package for array computing with Python." +category = "main" +optional = false +python-versions = ">=3.8" + [[package]] name = "orjson" -version = "3.8.1" +version = "3.8.2" description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy" category = "main" optional = false @@ -257,13 +936,53 @@ python-versions = ">=3.7" name = "packaging" version = "21.3" description = "Core utilities for Python packages" -category = "dev" +category = "main" optional = false python-versions = ">=3.6" [package.dependencies] pyparsing = ">=2.0.2,<3.0.5 || >3.0.5" +[[package]] +name = "pandas" +version = "1.5.2" +description = "Powerful data structures for data analysis, time series, and statistics" +category = "main" +optional = false +python-versions = ">=3.8" + +[package.dependencies] +numpy = [ + {version = ">=1.20.3", markers = "python_version < \"3.10\""}, + {version = ">=1.21.0", markers = "python_version >= \"3.10\""}, + {version = ">=1.23.2", markers = "python_version >= \"3.11\""}, +] +python-dateutil = ">=2.8.1" +pytz = ">=2020.1" + +[package.extras] +test = ["hypothesis (>=5.5.3)", "pytest (>=6.0)", "pytest-xdist (>=1.31)"] + +[[package]] +name = "pandocfilters" +version = "1.5.0" +description = "Utilities for writing pandoc filters in python" +category = "main" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" + +[[package]] +name = "parso" +version = "0.8.3" +description = "A Python Parser" +category = "main" +optional = false +python-versions = ">=3.6" + +[package.extras] +qa = ["flake8 (==3.8.3)", "mypy (==0.782)"] +testing = ["docopt", "pytest (<6.0.0)"] + [[package]] name = "pbr" version = "5.11.0" @@ -272,6 +991,45 @@ category = "dev" optional = false python-versions = ">=2.6" +[[package]] +name = "pexpect" +version = "4.8.0" +description = "Pexpect allows easy control of interactive console applications." +category = "main" +optional = false +python-versions = "*" + +[package.dependencies] +ptyprocess = ">=0.5" + +[[package]] +name = "pickleshare" +version = "0.7.5" +description = "Tiny 'shelve'-like database with concurrency support" +category = "main" +optional = false +python-versions = "*" + +[[package]] +name = "pkgutil-resolve-name" +version = "1.3.10" +description = "Resolve a name to an object." +category = "main" +optional = false +python-versions = ">=3.6" + +[[package]] +name = "platformdirs" +version = "2.5.4" +description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"." +category = "main" +optional = false +python-versions = ">=3.7" + +[package.extras] +docs = ["furo (>=2022.9.29)", "proselint (>=0.13)", "sphinx (>=5.3)", "sphinx-autodoc-typehints (>=1.19.4)"] +test = ["appdirs (==1.4.4)", "pytest (>=7.2)", "pytest-cov (>=4)", "pytest-mock (>=3.10)"] + [[package]] name = "pluggy" version = "1.0.0" @@ -284,11 +1042,63 @@ python-versions = ">=3.6" dev = ["pre-commit", "tox"] testing = ["pytest", "pytest-benchmark"] +[[package]] +name = "prometheus-client" +version = "0.15.0" +description = "Python client for the Prometheus monitoring system." +category = "main" +optional = false +python-versions = ">=3.6" + +[package.extras] +twisted = ["twisted"] + +[[package]] +name = "prompt-toolkit" +version = "3.0.33" +description = "Library for building powerful interactive command lines in Python" +category = "main" +optional = false +python-versions = ">=3.6.2" + +[package.dependencies] +wcwidth = "*" + +[[package]] +name = "psutil" +version = "5.9.4" +description = "Cross-platform lib for process and system monitoring in Python." +category = "main" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" + +[package.extras] +test = ["enum34", "ipaddress", "mock", "pywin32", "wmi"] + +[[package]] +name = "ptyprocess" +version = "0.7.0" +description = "Run a subprocess in a pseudo terminal" +category = "main" +optional = false +python-versions = "*" + +[[package]] +name = "pure-eval" +version = "0.2.2" +description = "Safely evaluate AST nodes without side effects" +category = "main" +optional = false +python-versions = "*" + +[package.extras] +tests = ["pytest"] + [[package]] name = "py" version = "1.11.0" description = "library with cross-python path, ini-parsing, io, code, log facilities" -category = "dev" +category = "main" optional = false python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" @@ -300,6 +1110,14 @@ category = "dev" optional = false python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" +[[package]] +name = "pycparser" +version = "2.21" +description = "C parser in Python" +category = "main" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" + [[package]] name = "pydantic" version = "1.10.2" @@ -323,6 +1141,17 @@ category = "dev" optional = false python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" +[[package]] +name = "pygments" +version = "2.13.0" +description = "Pygments is a syntax highlighting package written in Python." +category = "main" +optional = false +python-versions = ">=3.6" + +[package.extras] +plugins = ["importlib-metadata"] + [[package]] name = "pylint" version = "2.8.3" @@ -342,13 +1171,21 @@ toml = ">=0.7.1" name = "pyparsing" version = "3.0.9" description = "pyparsing module - Classes and methods to define and execute parsing grammars" -category = "dev" +category = "main" optional = false python-versions = ">=3.6.8" [package.extras] diagrams = ["jinja2", "railroad-diagrams"] +[[package]] +name = "pyrsistent" +version = "0.19.2" +description = "Persistent/Functional/Immutable data structures" +category = "main" +optional = false +python-versions = ">=3.7" + [[package]] name = "pytest" version = "6.2.5" @@ -370,6 +1207,41 @@ toml = "*" [package.extras] testing = ["argcomplete", "hypothesis (>=3.56)", "mock", "nose", "requests", "xmlschema"] +[[package]] +name = "python-dateutil" +version = "2.8.2" +description = "Extensions to the standard Python datetime module" +category = "main" +optional = false +python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7" + +[package.dependencies] +six = ">=1.5" + +[[package]] +name = "pytz" +version = "2022.6" +description = "World timezone definitions, modern and historical" +category = "main" +optional = false +python-versions = "*" + +[[package]] +name = "pywin32" +version = "305" +description = "Python for Window Extensions" +category = "main" +optional = false +python-versions = "*" + +[[package]] +name = "pywinpty" +version = "2.0.9" +description = "Pseudo terminal support for Windows from Python." +category = "main" +optional = false +python-versions = ">=3.7" + [[package]] name = "pyyaml" version = "6.0" @@ -378,6 +1250,54 @@ category = "dev" optional = false python-versions = ">=3.6" +[[package]] +name = "pyzmq" +version = "24.0.1" +description = "Python bindings for 0MQ" +category = "main" +optional = false +python-versions = ">=3.6" + +[package.dependencies] +cffi = {version = "*", markers = "implementation_name == \"pypy\""} +py = {version = "*", markers = "implementation_name == \"pypy\""} + +[[package]] +name = "qtconsole" +version = "5.4.0" +description = "Jupyter Qt console" +category = "main" +optional = false +python-versions = ">= 3.7" + +[package.dependencies] +ipykernel = ">=4.1" +ipython-genutils = "*" +jupyter-client = ">=4.1" +jupyter-core = "*" +pygments = "*" +pyzmq = ">=17.1" +qtpy = ">=2.0.1" +traitlets = "<5.2.1 || >5.2.1,<5.2.2 || >5.2.2" + +[package.extras] +doc = ["Sphinx (>=1.3)"] +test = ["flaky", "pytest", "pytest-qt"] + +[[package]] +name = "qtpy" +version = "2.3.0" +description = "Provides an abstraction layer on top of the various Qt bindings (PyQt5/6 and PySide2/6)." +category = "main" +optional = false +python-versions = ">=3.7" + +[package.dependencies] +packaging = "*" + +[package.extras] +test = ["pytest (>=6,!=7.0.0,!=7.0.1)", "pytest-cov (>=3.0.0)", "pytest-qt"] + [[package]] name = "requests" version = "2.25.1" @@ -396,9 +1316,38 @@ urllib3 = ">=1.21.1,<1.27" security = ["cryptography (>=1.3.4)", "pyOpenSSL (>=0.14)"] socks = ["PySocks (>=1.5.6,!=1.5.7)", "win-inet-pton"] +[[package]] +name = "scipy" +version = "1.9.3" +description = "Fundamental algorithms for scientific computing in Python" +category = "main" +optional = false +python-versions = ">=3.8" + +[package.dependencies] +numpy = ">=1.18.5,<1.26.0" + +[package.extras] +dev = ["flake8", "mypy", "pycodestyle", "typing_extensions"] +doc = ["matplotlib (>2)", "numpydoc", "pydata-sphinx-theme (==0.9.0)", "sphinx (!=4.1.0)", "sphinx-panels (>=0.5.2)", "sphinx-tabs"] +test = ["asv", "gmpy2", "mpmath", "pytest", "pytest-cov", "pytest-xdist", "scikit-umfpack", "threadpoolctl"] + +[[package]] +name = "send2trash" +version = "1.8.0" +description = "Send file to trash natively under Mac OS X, Windows and Linux." +category = "main" +optional = false +python-versions = "*" + +[package.extras] +nativelib = ["pyobjc-framework-Cocoa", "pywin32"] +objc = ["pyobjc-framework-Cocoa"] +win32 = ["pywin32"] + [[package]] name = "setuptools" -version = "65.5.1" +version = "65.6.3" description = "Easily download, build, install, upgrade, and uninstall Python packages" category = "main" optional = false @@ -409,6 +1358,14 @@ docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "pygments-g testing = ["build[virtualenv]", "filelock (>=3.4.0)", "flake8 (<5)", "flake8-2020", "ini2toml[lite] (>=0.9)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pip (>=19.1)", "pip-run (>=8.8)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)", "pytest-perf", "pytest-timeout", "pytest-xdist", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"] testing-integration = ["build[virtualenv]", "filelock (>=3.4.0)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pytest", "pytest-enabler", "pytest-xdist", "tomli", "virtualenv (>=13.0.0)", "wheel"] +[[package]] +name = "six" +version = "1.16.0" +description = "Python 2 and 3 compatibility utilities" +category = "main" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*" + [[package]] name = "smmap" version = "5.0.0" @@ -417,6 +1374,38 @@ category = "dev" optional = false python-versions = ">=3.6" +[[package]] +name = "sniffio" +version = "1.3.0" +description = "Sniff out which async library your code is running under" +category = "main" +optional = false +python-versions = ">=3.7" + +[[package]] +name = "soupsieve" +version = "2.3.2.post1" +description = "A modern CSS selector implementation for Beautiful Soup." +category = "main" +optional = false +python-versions = ">=3.6" + +[[package]] +name = "stack-data" +version = "0.6.2" +description = "Extract data from python stack frames and tracebacks for informative displays" +category = "main" +optional = false +python-versions = "*" + +[package.dependencies] +asttokens = ">=2.1.0" +executing = ">=1.2.0" +pure-eval = "*" + +[package.extras] +tests = ["cython", "littleutils", "pygments", "pytest", "typeguard"] + [[package]] name = "starlette" version = "0.14.2" @@ -439,6 +1428,38 @@ python-versions = ">=3.8" [package.dependencies] pbr = ">=2.0.0,<2.1.0 || >2.1.0" +[[package]] +name = "terminado" +version = "0.17.0" +description = "Tornado websocket backend for the Xterm.js Javascript terminal emulator library." +category = "main" +optional = false +python-versions = ">=3.7" + +[package.dependencies] +ptyprocess = {version = "*", markers = "os_name != \"nt\""} +pywinpty = {version = ">=1.1.0", markers = "os_name == \"nt\""} +tornado = ">=6.1.0" + +[package.extras] +docs = ["pydata-sphinx-theme", "sphinx"] +test = ["pre-commit", "pytest (>=7.0)", "pytest-timeout"] + +[[package]] +name = "tinycss2" +version = "1.2.1" +description = "A tiny CSS parser" +category = "main" +optional = false +python-versions = ">=3.7" + +[package.dependencies] +webencodings = ">=0.4" + +[package.extras] +doc = ["sphinx", "sphinx_rtd_theme"] +test = ["flake8", "isort", "pytest"] + [[package]] name = "toml" version = "0.10.2" @@ -447,6 +1468,43 @@ category = "dev" optional = false python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*" +[[package]] +name = "tornado" +version = "6.2" +description = "Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed." +category = "main" +optional = false +python-versions = ">= 3.7" + +[[package]] +name = "tqdm" +version = "4.64.1" +description = "Fast, Extensible Progress Meter" +category = "main" +optional = false +python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7" + +[package.dependencies] +colorama = {version = "*", markers = "platform_system == \"Windows\""} + +[package.extras] +dev = ["py-make (>=0.1.0)", "twine", "wheel"] +notebook = ["ipywidgets (>=6)"] +slack = ["slack-sdk"] +telegram = ["requests"] + +[[package]] +name = "traitlets" +version = "5.6.0" +description = "Traitlets Python configuration system" +category = "main" +optional = false +python-versions = ">=3.7" + +[package.extras] +docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"] +test = ["pre-commit", "pytest"] + [[package]] name = "typed-ast" version = "1.4.3" @@ -465,11 +1523,11 @@ python-versions = ">=3.7" [[package]] name = "urllib3" -version = "1.26.12" +version = "1.26.13" description = "HTTP library with thread-safe connection pooling, file post, and more." category = "dev" optional = false -python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, <4" +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*" [package.extras] brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)", "brotlipy (>=0.6.0)"] @@ -505,6 +1563,43 @@ dev = ["Cython (>=0.29.20,<0.30.0)", "Sphinx (>=1.7.3,<1.8.0)", "aiohttp", "flak docs = ["Sphinx (>=1.7.3,<1.8.0)", "sphinx-rtd-theme (>=0.2.4,<0.3.0)", "sphinxcontrib-asyncio (>=0.2.0,<0.3.0)"] test = ["aiohttp", "flake8 (>=3.8.4,<3.9.0)", "mypy (>=0.800)", "psutil", "pyOpenSSL (>=19.0.0,<19.1.0)", "pycodestyle (>=2.6.0,<2.7.0)"] +[[package]] +name = "wcwidth" +version = "0.2.5" +description = "Measures the displayed width of unicode strings in a terminal" +category = "main" +optional = false +python-versions = "*" + +[[package]] +name = "webencodings" +version = "0.5.1" +description = "Character 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"sha256:a7a22e05929290a67401440b39690ae6563279bced5f314609d9d03798f56766"}, +] diff --git a/pyproject.toml b/pyproject.toml index 82c2a0c7..f99aeb33 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -26,6 +26,11 @@ uvloop = "^0.15.2" uvicorn = "^0.14.0" orjson = "^3.7.7" starlette = "^0.14.2" +pandas = "^1.5.2" +dill = "^0.3.6" +implicit = "^0.6.1" +joblib = "^1.2.0" +jupyter = "^1.0.0" [tool.poetry.dev-dependencies] pytest = "^6.2.4" diff --git a/service/api/models_zoo.py b/service/api/models_zoo.py index 32a3c867..086f0cee 100644 --- a/service/api/models_zoo.py +++ b/service/api/models_zoo.py @@ -1,11 +1,25 @@ -from abc import ABC -from typing import List +from abc import ABC, abstractmethod +from collections import defaultdict +from typing import Dict, List, Set, Tuple + +import dill +import numpy as np +import pandas as pd +import scipy as sp +from implicit.nearest_neighbours import ItemItemRecommender class BaseModelZoo(ABC): def __init__(self): pass + @staticmethod + def unique_reco(items: List[int]) -> List[int]: + seen: Set[int] = set() + seen_add = seen.add + return [item for item in items if not (item in seen or seen_add(item))] + + @abstractmethod def reco_predict( self, user_id: int, @@ -33,3 +47,269 @@ def reco_predict( """ reco = list(range(k_recs)) return reco + + +class TopPopularAllCovered(BaseModelZoo): + def __init__( + self, + top_reco: Tuple[int, ...] = tuple([ + 10440, 15297, 9728, 13865, 2657, + 4151, 3734, 6809, 4740, 4880, 7571, + 11237, 8636, 14741 + ]) + ) -> None: + super().__init__() + self.top_reco = top_reco + + def reco_predict( + self, + user_id: int, + k_recs: int + ) -> List[int]: + """ + Main function for recommendation items to users + :param user_id: user identification + :param k_recs: how many recs do you need + :return: list of recommendation ids + """ + reco = list(self.top_reco)[:k_recs] + return reco + + +class Popular(BaseModelZoo): + def __init__( + self, + top_reco: Tuple[int, ...] = tuple([ + 10440, 15297, 9728, 13865, 4151, + 3734, 2657, 4880, 142, 6809 + ]) + ) -> None: + super().__init__() + self.top_reco = top_reco + + def reco_predict( + self, + user_id: int, + k_recs: int + ) -> List[int]: + """ + Main function for recommendation items to users + :param user_id: user identification + :param k_recs: how many recs do you need + :return: list of recommendation ids + """ + reco = list(self.top_reco)[:k_recs] + return reco + + +class KNNModelWithTop(BaseModelZoo): + def __init__( + self, + path_to_reco: str = "data/BlendingKNNWithAddFeatures.csv.gz", + top_reco: Tuple[int, ...] = tuple([ + 10440, 15297, 9728, 13865, 3734, + 12192, 4151, 11863, 7793, 7829 + ]), + ) -> None: + super().__init__() + self.path_to_reco = path_to_reco + if self.path_to_reco.endswith('csv.gz'): + self.data = pd.read_csv(path_to_reco, compression='gzip') + elif self.path_to_reco.endswith('.csv'): + self.data = pd.read_csv(path_to_reco) + self.top_reco = top_reco + + def reco_predict( + self, + user_id: int, + k_recs: int + ) -> List[int]: + """ + Main function for recommendation items to users + :param user_id: user identification + :param k_recs: how many recs do you need + :return: list of recommendation ids + """ + reco = ( + self.data[self.data.user_id == user_id] + .item_id + .tolist() + [:k_recs] + ) + + if len(reco) < k_recs: + reco.extend(self.top_reco) + reco = self.unique_reco(reco)[:k_recs] # Удаляем дубли + + return reco + + +class KNNModelBM25(BaseModelZoo): + def __init__( + self, + path_to_model: str = "data/knn_bm25.pickle", + top_reco: Tuple[int, ...] = tuple([ + 10440, 15297, 9728, 13865, 3734, + 12192, 4151, 11863, 7793, 7829 + ]) + ) -> None: + super().__init__() + + with open(path_to_model, 'rb') as f: + self.model = dill.load(f) + + self.top_reco = top_reco + + def reco_predict( + self, + user_id: int, + k_recs: int + ) -> List[int]: + """ + Main function for recommendation items to users + :param user_id: user identification + :param k_recs: how many recs do you need + :return: list of recommendation ids + """ + try: + reco = self.model.predict(user_id=user_id) + except KeyError: + reco = [] + + if len(reco) < k_recs: + reco.extend(self.top_reco) + reco = self.unique_reco(reco)[:k_recs] # Удаляем дубли + + return reco + + +class UserKNN: + """ + Class for fit-perdict UserKNN model and BM25 + based on ItemKNN model from implicit.nearest_neighbours + """ + + def __init__( + self, + dist_model: ItemItemRecommender, + n_neighbors: int = 50, + verbose: int = 1, + ): + self.n_neighbors = n_neighbors + self.dist_model = dist_model + self.verbose = verbose + self.is_fitted = False + + self.mapping: Dict[str, Dict[int, int]] = defaultdict(dict) + + self.weights_matrix = None + self.users_watched = None + + def get_mappings(self, train): + self.mapping['users_inv_mapping'] = dict( + enumerate(train['user_id'].unique()) + ) + self.mapping['users_mapping'] = { + v: k for k, v in self.mapping['users_inv_mapping'].items() + } + + self.mapping['items_inv_mapping'] = dict( + enumerate(train['item_id'].unique()) + ) + self.mapping['items_mapping'] = { + v: k for k, v in self.mapping['items_inv_mapping'].items() + } + + def get_matrix( + self, df: pd.DataFrame, + user_col: str = 'user_id', + item_col: str = 'item_id', + weight_col: str = None, + ): + if weight_col: + weights = df[weight_col].astype(np.float32) + else: + weights = np.ones(len(df), dtype=np.float32) + + if hasattr(self.mapping['users_mapping'], 'get') and \ + hasattr(self.mapping['items_mapping'], 'get'): + interaction_matrix = sp.sparse.coo_matrix(( + weights, + ( + df[user_col].map(self.mapping['users_mapping'].get), + df[item_col].map(self.mapping['items_mapping'].get) + ) + )) + else: + raise AttributeError + + self.users_watched = df.groupby(user_col).agg({item_col: list}) + return interaction_matrix + + def fit(self, train: pd.DataFrame): + self.get_mappings(train) + self.weights_matrix = self.get_matrix(train).tocsr().T + + self.dist_model.fit( + self.weights_matrix, + show_progress=(self.verbose > 0) + ) + self.is_fitted = True + + @staticmethod + def _generate_recs_mapper( + model: ItemItemRecommender, + user_mapping: Dict[int, int], + user_inv_mapping: Dict[int, int], + n_neighbors: int + ): + def _recs_mapper(user): + user_id = user_mapping[user] + recs = model.similar_items(user_id, N=n_neighbors) + return ( + [user_inv_mapping[user] for user, _ in zip(*recs)], + [sim for _, sim in zip(*recs)] + ) + + return _recs_mapper + + def predict(self, user_id: int, n_recs: int = 10): + + if not self.is_fitted: + raise ValueError("Fit model before predicting") + + mapper = self._generate_recs_mapper( + model=self.dist_model, + user_mapping=self.mapping['users_mapping'], + user_inv_mapping=self.mapping['users_inv_mapping'], + n_neighbors=self.n_neighbors + ) + + recs = pd.DataFrame({'user_id': [user_id]}) + + try: + recs['sim_user_id'], recs['sim'] = zip( + *recs['user_id'].map(mapper) + ) + except AttributeError: + return [] + + recs = recs.set_index('user_id').apply(pd.Series.explode).reset_index() + + recs = ( + recs + .merge( + self.users_watched, + left_on=['sim_user_id'], + right_on=['user_id'], how='left' + ) + .explode('item_id') + .sort_values(['user_id', 'sim'], ascending=False) + .drop_duplicates(['user_id', 'item_id'], keep='first') + ) + + recs['rank'] = recs.groupby('user_id').cumcount() + 1 + + result = recs[recs['rank'] <= n_recs][['user_id', 'item_id', 'rank']] + + return result.item_id.tolist()[:n_recs] diff --git a/service/api/views.py b/service/api/views.py index 1124fe1a..7b1cf42e 100644 --- a/service/api/views.py +++ b/service/api/views.py @@ -1,3 +1,5 @@ +from pathlib import Path + from fastapi import APIRouter, Depends, FastAPI, Request, Security from fastapi.security import HTTPAuthorizationCredentials, HTTPBearer from fastapi.security.api_key import APIKey, APIKeyHeader, APIKeyQuery @@ -11,7 +13,44 @@ from .config import config_env from .models import NotFoundError, RecoResponse, UnauthorizedError -from .models_zoo import DumpModel +from .models_zoo import ( + DumpModel, + KNNModelBM25, + KNNModelWithTop, + Popular, + TopPopularAllCovered, +) + +# from .models_zoo import models_zoo +data_path = Path(__file__).parent.parent.parent/"data" + +try: + models_zoo = { + "model_1": DumpModel(), + "TopPopularAllCovered": TopPopularAllCovered(), + "modelpopular": Popular(), + "UserKnnTfIdfTop": KNNModelWithTop( + path_to_reco=str(data_path/"UserKnnTfIdf.csv") + ), + "ItemKNN": KNNModelWithTop( + path_to_reco=str(data_path/"ItemKNN.csv") + ), + "BlendingKNN": KNNModelWithTop( + path_to_reco=str(data_path/"BlendingKNN.csv.gz") + ), + "BlendingKNNWithAddFeatures": KNNModelWithTop( + path_to_reco=str(data_path/"BlendingKNNWithAddFeatures.csv.gz") + ), + "KNNBM25withAddFeatures": KNNModelBM25( + path_to_model=str(data_path/"knn_bm25.pickle") + ) + } +except FileNotFoundError: + models_zoo = { + "model_1": DumpModel(), + "TopPopularAllCovered": TopPopularAllCovered(), + "modelpopular": Popular(), + } router = APIRouter() @@ -19,8 +58,6 @@ api_header = APIKeyHeader(name=config_env["API_KEY_NAME"], auto_error=False) token_bearer = HTTPBearer(auto_error=False) -models_zoo = {"model_1": DumpModel()} - async def get_api_key( api_key_query: str = Security(api_query),