diff --git a/python/Makefile b/python/Makefile index 3693e666ec..f8dcba336b 100644 --- a/python/Makefile +++ b/python/Makefile @@ -157,7 +157,7 @@ test-system-python: dist ## Run tests using the system `python` instead of the l test-notebooks: ## Run tests for the notebooks @$(call i, Running notebook tests) - poetry run pytest --no-cov --maxfail=1 test_notebooks/notebook_tests.py + poetry run pytest -n auto --no-cov --maxfail=1 test_notebooks/notebook_tests.py telemetry-opt-out: ## create opt out file @$(call i, Creating whylogs telemetry opt-out file) diff --git a/python/examples/experimental/Writing_Ranking_Performance_Metrics_to_WhyLabs.ipynb b/python/examples/experimental/Writing_Ranking_Performance_Metrics_to_WhyLabs.ipynb index 5e3431448e..ef7089ff03 100644 --- a/python/examples/experimental/Writing_Ranking_Performance_Metrics_to_WhyLabs.ipynb +++ b/python/examples/experimental/Writing_Ranking_Performance_Metrics_to_WhyLabs.ipynb @@ -54,7 +54,7 @@ }, "outputs": [], "source": [ - "%pip install whylogs==1.3.27" + "%pip install 'whylogs>=1.3.27'" ] }, { diff --git a/python/examples/integrations/Feature_Stores_and_whylogs.ipynb b/python/examples/integrations/Feature_Stores_and_whylogs.ipynb index 77040efe91..a1987d6b3c 100644 --- a/python/examples/integrations/Feature_Stores_and_whylogs.ipynb +++ b/python/examples/integrations/Feature_Stores_and_whylogs.ipynb @@ -96,10 +96,16 @@ "outputs": [], "source": [ "# Note: you may need to restart the kernel to use updated packages.\n", - "%pip install --upgrade pip -qq\n", - "%pip install feast==0.22.4 -qq\n", - "%pip install Pygments -qq\n", - "%pip install 'whylogs[viz]' -U" + "%pip install --upgrade pip -qq" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "%pip install feast==0.22.4 Pygments 'whylogs[viz]' -qqU" ] }, { diff --git a/python/examples/integrations/writers/Writing_Profiles.ipynb b/python/examples/integrations/writers/Writing_Profiles.ipynb index 0ea7acdba5..c4ebde3212 100644 --- a/python/examples/integrations/writers/Writing_Profiles.ipynb +++ b/python/examples/integrations/writers/Writing_Profiles.ipynb @@ -3,10 +3,10 @@ { "cell_type": "markdown", "metadata": { + "id": "BeXzH8r34sbM", "pycharm": { "name": "#%% md\n" - }, - "id": "BeXzH8r34sbM" + } }, "source": [ ">### 🚩 *Create a free WhyLabs account to get more value out of whylogs!*
\n", @@ -16,10 +16,10 @@ { "cell_type": "markdown", "metadata": { + "id": "lOMfJZre4sbQ", "pycharm": { "name": "#%% md\n" - }, - "id": "lOMfJZre4sbQ" + } }, "source": [ "# Writing profiles - Local/S3\n", @@ -34,10 +34,10 @@ { "cell_type": "markdown", "metadata": { + "id": "EHAazI3n4sbR", "pycharm": { "name": "#%% md\n" - }, - "id": "EHAazI3n4sbR" + } }, "source": [ "## Installing whylogs\n", @@ -49,11 +49,11 @@ "cell_type": "code", "execution_count": null, "metadata": { + "id": "J5VspSS14sbR", + "outputId": "3e544285-0d2b-4572-8e8d-f92015f5547a", "pycharm": { "name": "#%%\n" - }, - "id": "J5VspSS14sbR", - "outputId": "3e544285-0d2b-4572-8e8d-f92015f5547a" + } }, "outputs": [ { @@ -71,16 +71,17 @@ "source": [ "# Note: you may need to restart the kernel to use updated packages.\n", "import shutil\n", + "\n", "%pip install whylogs" ] }, { "cell_type": "markdown", "metadata": { + "id": "Hmn-M9nU4sbT", "pycharm": { "name": "#%% md\n" - }, - "id": "Hmn-M9nU4sbT" + } }, "source": [ "## Creating simple profiles\n", @@ -92,10 +93,10 @@ "cell_type": "code", "execution_count": null, "metadata": { + "id": "scsGpGsS4sbU", "pycharm": { "name": "#%%\n" - }, - "id": "scsGpGsS4sbU" + } }, "outputs": [], "source": [ @@ -114,11 +115,11 @@ "cell_type": "code", "execution_count": null, "metadata": { + "id": "LAINFxFe4sbU", + "outputId": "37399d7e-70d8-4849-b687-5bac3dea4dd3", "pycharm": { "name": "#%%\n" - }, - "id": "LAINFxFe4sbU", - "outputId": "37399d7e-70d8-4849-b687-5bac3dea4dd3" + } }, "outputs": [ { @@ -197,10 +198,10 @@ "cell_type": "code", "execution_count": null, "metadata": { + "id": "8s-eZc8u4sbV", "pycharm": { "name": "#%%\n" - }, - "id": "8s-eZc8u4sbV" + } }, "outputs": [], "source": [ @@ -213,11 +214,11 @@ "cell_type": "code", "execution_count": null, "metadata": { + "id": "rlN1dqik4sbV", + "outputId": "2942dcc0-f29a-4623-f68d-1bf487d8ab90", "pycharm": { "name": "#%%\n" - }, - "id": "rlN1dqik4sbV", - "outputId": "2942dcc0-f29a-4623-f68d-1bf487d8ab90" + } }, "outputs": [ { @@ -238,10 +239,10 @@ { "cell_type": "markdown", "metadata": { + "id": "ZmVdbaCk4sbW", "pycharm": { "name": "#%% md\n" - }, - "id": "ZmVdbaCk4sbW" + } }, "source": [ "And now we can check its collected metrics by transforming it into a `DatasetProfileView`" @@ -251,11 +252,11 @@ "cell_type": "code", "execution_count": null, "metadata": { + "id": "ULvkGC8m4sbW", + "outputId": "c45763ad-0eb7-467f-9b0d-44fc3ea6c351", "pycharm": { "name": "#%%\n" - }, - "id": "ULvkGC8m4sbW", - "outputId": "c45763ad-0eb7-467f-9b0d-44fc3ea6c351" + } }, "outputs": [ { @@ -457,10 +458,10 @@ { "cell_type": "markdown", "metadata": { + "id": "HElOZqFJ4sbW", "pycharm": { "name": "#%% md\n" - }, - "id": "HElOZqFJ4sbW" + } }, "source": [ "Cool! So now that we have a proper profile created, let's see how we can persist is as a file." @@ -469,10 +470,10 @@ { "cell_type": "markdown", "metadata": { + "id": "yItBYTfC4sbX", "pycharm": { "name": "#%% md\n" - }, - "id": "yItBYTfC4sbX" + } }, "source": [ "## Local writer\n", @@ -484,10 +485,10 @@ "cell_type": "code", "execution_count": null, "metadata": { + "id": "6clbLzPD4sbX", "pycharm": { "name": "#%%\n" - }, - "id": "6clbLzPD4sbX" + } }, "outputs": [], "source": [ @@ -497,10 +498,10 @@ { "cell_type": "markdown", "metadata": { + "id": "7zmmKnMH4sbX", "pycharm": { "name": "#%% md\n" - }, - "id": "7zmmKnMH4sbX" + } }, "source": [ "If you want, you can also not specify a `dest`, but an optional `base_dir`, which will write your profile with its timestamp to this base directory you want. Let's see how:" @@ -510,10 +511,10 @@ "cell_type": "code", "execution_count": null, "metadata": { + "id": "Uhw7s2Sp4sbX", "pycharm": { "name": "#%%\n" - }, - "id": "Uhw7s2Sp4sbX" + } }, "outputs": [], "source": [ @@ -525,10 +526,10 @@ "cell_type": "code", "execution_count": null, "metadata": { + "id": "5qWWa_Kf4sbY", "pycharm": { "name": "#%%\n" - }, - "id": "5qWWa_Kf4sbY" + } }, "outputs": [], "source": [ @@ -538,10 +539,10 @@ { "cell_type": "markdown", "metadata": { + "id": "HlSGMcB24sbY", "pycharm": { "name": "#%% md\n" - }, - "id": "HlSGMcB24sbY" + } }, "source": [ "Or from the `DatasetProfileView` directly, with a `path`" @@ -551,11 +552,11 @@ "cell_type": "code", "execution_count": null, "metadata": { + "id": "q-TXawKo4sbY", + "outputId": "52a19778-a55f-44fb-88bc-931706cd0f69", "pycharm": { "name": "#%%\n" - }, - "id": "q-TXawKo4sbY", - "outputId": "52a19778-a55f-44fb-88bc-931706cd0f69" + } }, "outputs": [ { @@ -576,10 +577,10 @@ { "cell_type": "markdown", "metadata": { + "id": "CnNfBMZD4sbZ", "pycharm": { "name": "#%% md\n" - }, - "id": "CnNfBMZD4sbZ" + } }, "source": [ "And if it couldn't get any more convenient, you can also use the **same logic for logging** to also write your profile, like:" @@ -589,11 +590,11 @@ "cell_type": "code", "execution_count": null, "metadata": { + "id": "aym-fH4j4sbZ", + "outputId": "80ad54aa-2566-4369-a95c-2050ebee5df2", "pycharm": { "name": "#%%\n" - }, - "id": "aym-fH4j4sbZ", - "outputId": "80ad54aa-2566-4369-a95c-2050ebee5df2" + } }, "outputs": [ { @@ -615,11 +616,11 @@ "cell_type": "code", "execution_count": null, "metadata": { + "id": "jk83kWwf4sbZ", + "outputId": "dab2bb66-f6bc-4c5f-a508-44d2d15af4f7", "pycharm": { "name": "#%%\n" - }, - "id": "jk83kWwf4sbZ", - "outputId": "dab2bb66-f6bc-4c5f-a508-44d2d15af4f7" + } }, "outputs": [ { @@ -643,10 +644,10 @@ { "cell_type": "markdown", "metadata": { + "id": "GBW27-wV4sbZ", "pycharm": { "name": "#%% md\n" - }, - "id": "GBW27-wV4sbZ" + } }, "source": [ "And that's it! Now you can go ahead and decide where and how to store these profiles, for further inspection and guaranteeing your data and ML model pipelines are generating useful and quality data for your end users. Let's delete those files not to clutter our environment then :)" @@ -656,11 +657,11 @@ "cell_type": "code", "execution_count": null, "metadata": { + "id": "kxSeg4WI4sba", "pycharm": { "is_executing": true, "name": "#%%\n" - }, - "id": "kxSeg4WI4sba" + } }, "outputs": [], "source": [ @@ -671,10 +672,10 @@ { "cell_type": "markdown", "metadata": { + "id": "EQBvZBPL4sba", "pycharm": { "name": "#%% md\n" - }, - "id": "EQBvZBPL4sba" + } }, "source": [ "## s3 Writer\n", @@ -692,11 +693,11 @@ "cell_type": "code", "execution_count": null, "metadata": { + "id": "4e4GWZJ94sba", + "outputId": "c2a5620c-5e0c-451a-ab88-d9907d153939", "pycharm": { "name": "#%%\n" - }, - "id": "4e4GWZJ94sba", - "outputId": "c2a5620c-5e0c-451a-ab88-d9907d153939" + } }, "outputs": [ { @@ -715,11 +716,11 @@ "cell_type": "code", "execution_count": null, "metadata": { + "id": "mL1aCdsV4sbb", + "outputId": "2a87b852-7d07-4b03-8156-d26389dbc7b3", "pycharm": { "name": "#%%\n" - }, - "id": "mL1aCdsV4sbb", - "outputId": "2a87b852-7d07-4b03-8156-d26389dbc7b3" + } }, "outputs": [ { @@ -750,10 +751,10 @@ { "cell_type": "markdown", "metadata": { + "id": "Dz5QACw64sbb", "pycharm": { "name": "#%% md\n" - }, - "id": "Dz5QACw64sbb" + } }, "source": [ "Now that we have created our `s3` bucket we will already be able to communicate with the mocked storage object. A good practice here is to declare your access credentials as environment variables. For a production setting, this won't be persisted into code, but this will give you a sense of how to safely use our `s3` writer." @@ -763,10 +764,10 @@ "cell_type": "code", "execution_count": null, "metadata": { + "id": "lV3t5BqF4sbb", "pycharm": { "name": "#%%\n" - }, - "id": "lV3t5BqF4sbb" + } }, "outputs": [], "source": [ @@ -780,10 +781,10 @@ "cell_type": "code", "execution_count": null, "metadata": { + "id": "ANEhfvpi4sbb", "pycharm": { "name": "#%%\n" - }, - "id": "ANEhfvpi4sbb" + } }, "outputs": [], "source": [ @@ -793,10 +794,10 @@ { "cell_type": "markdown", "metadata": { + "id": "b0q8LlQX4sbc", "pycharm": { "name": "#%% md\n" - }, - "id": "b0q8LlQX4sbc" + } }, "source": [ "And you've done it! Seems too good to be true. How would I know if the profiles are there? 🤔 Well, let's investigate them." @@ -806,10 +807,10 @@ "cell_type": "code", "execution_count": null, "metadata": { + "id": "MS5d7ST04sbc", "pycharm": { "name": "#%%\n" - }, - "id": "MS5d7ST04sbc" + } }, "outputs": [], "source": [ @@ -821,11 +822,11 @@ "cell_type": "code", "execution_count": null, "metadata": { + "id": "tRekC5T94sbd", + "outputId": "e8182d9b-1305-4844-8f80-6b098a2450a8", "pycharm": { "name": "#%%\n" - }, - "id": "tRekC5T94sbd", - "outputId": "e8182d9b-1305-4844-8f80-6b098a2450a8" + } }, "outputs": [ { @@ -847,11 +848,11 @@ "cell_type": "code", "execution_count": null, "metadata": { + "id": "GNcRLp604sbd", + "outputId": "eb6537ad-b595-4846-bff2-44de1ec2263b", "pycharm": { "name": "#%%\n" - }, - "id": "GNcRLp604sbd", - "outputId": "eb6537ad-b595-4846-bff2-44de1ec2263b" + } }, "outputs": [ { @@ -878,10 +879,10 @@ { "cell_type": "markdown", "metadata": { + "id": "M8fJoSwJ4sbe", "pycharm": { "name": "#%% md\n" - }, - "id": "M8fJoSwJ4sbe" + } }, "source": [ "And there we have it, our local `s3` bucket has our profile written!\n", @@ -892,10 +893,10 @@ "cell_type": "code", "execution_count": null, "metadata": { + "id": "BAKFSaVB4sbf", "pycharm": { "name": "#%%\n" - }, - "id": "BAKFSaVB4sbf" + } }, "outputs": [], "source": [ @@ -909,11 +910,11 @@ "cell_type": "code", "execution_count": null, "metadata": { + "id": "5aWIqw_64sbf", + "outputId": "4e36df8a-f1b3-4fdb-a0ea-2d7777f278ce", "pycharm": { "name": "#%%\n" - }, - "id": "5aWIqw_64sbf", - "outputId": "4e36df8a-f1b3-4fdb-a0ea-2d7777f278ce" + } }, "outputs": [ { @@ -948,10 +949,10 @@ { "cell_type": "markdown", "metadata": { + "id": "boMYi7vw4sbg", "pycharm": { "name": "#%% md\n" - }, - "id": "boMYi7vw4sbg" + } }, "source": [ "### Wrapping up the s3 objects\n", @@ -963,10 +964,10 @@ "cell_type": "code", "execution_count": null, "metadata": { + "id": "pKcWqcPB4sbg", "pycharm": { "name": "#%%\n" - }, - "id": "pKcWqcPB4sbg" + } }, "outputs": [], "source": [ @@ -977,10 +978,10 @@ "cell_type": "markdown", "metadata": { "collapsed": false, + "id": "1okFXZ-C4sbh", "pycharm": { "name": "#%% md\n" - }, - "id": "1okFXZ-C4sbh" + } }, "source": [ "And that's it, you have just written a profile to an s3 bucket!" @@ -990,10 +991,10 @@ "cell_type": "markdown", "metadata": { "collapsed": false, + "id": "STVa3zI64sbh", "pycharm": { "name": "#%% md\n" - }, - "id": "STVa3zI64sbh" + } }, "source": [ "## GCS Writer\n", @@ -1006,11 +1007,11 @@ "cell_type": "code", "execution_count": null, "metadata": { + "id": "hDfHDaUc4sbi", + "outputId": "30072f06-1184-4dfe-807a-572cd6aed534", "pycharm": { "name": "#%%\n" - }, - "id": "hDfHDaUc4sbi", - "outputId": "30072f06-1184-4dfe-807a-572cd6aed534" + } }, "outputs": [ { @@ -1029,10 +1030,10 @@ "cell_type": "code", "execution_count": null, "metadata": { + "id": "wS76ymSc4sbi", "pycharm": { "name": "#%%\n" - }, - "id": "wS76ymSc4sbi" + } }, "outputs": [], "source": [ @@ -1046,15 +1047,36 @@ "cell_type": "code", "execution_count": null, "metadata": { + "id": "Dm3BpoIL4sbj", "pycharm": { "name": "#%%\n" - }, - "id": "Dm3BpoIL4sbj" + } }, "outputs": [], "source": [ + "import random\n", + "import socket\n", + "\n", + "\n", + "def find_free_port(preferred_port, min_port, max_port):\n", + " def is_port_free(port):\n", + " with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:\n", + " try:\n", + " s.bind(('localhost', port))\n", + " return True\n", + " except OSError:\n", + " return False\n", + "\n", + " if is_port_free(preferred_port):\n", + " return preferred_port\n", + " else:\n", + " while True:\n", + " port = random.randint(min_port, max_port)\n", + " if is_port_free(port):\n", + " return port\n", + "\n", "HOST = \"localhost\"\n", - "PORT = 9023\n", + "PORT = find_free_port(9023, 9000, 9100)\n", "GCS_BUCKET = \"test-bucket\"\n", "\n", "server = create_server(HOST, PORT, in_memory=True, default_bucket=GCS_BUCKET)\n", @@ -1073,10 +1095,10 @@ "cell_type": "markdown", "metadata": { "collapsed": false, + "id": "Ml_uH8qA4sbj", "pycharm": { "name": "#%% md\n" - }, - "id": "Ml_uH8qA4sbj" + } }, "source": [ "And this is empty, because we have just created our test bucket :)" @@ -1086,11 +1108,11 @@ "cell_type": "code", "execution_count": null, "metadata": { + "id": "7t0OVLX-4sbj", + "outputId": "6ffbee0c-46c1-4e1e-8a0b-00fcb1e5875c", "pycharm": { "name": "#%%\n" - }, - "id": "7t0OVLX-4sbj", - "outputId": "6ffbee0c-46c1-4e1e-8a0b-00fcb1e5875c" + } }, "outputs": [ { @@ -1118,11 +1140,11 @@ "cell_type": "code", "execution_count": null, "metadata": { + "id": "Y4Ql49iN4sbj", + "outputId": "b2da43ae-2421-4e2d-d3be-c5dc113a90ac", "pycharm": { "name": "#%%\n" - }, - "id": "Y4Ql49iN4sbj", - "outputId": "b2da43ae-2421-4e2d-d3be-c5dc113a90ac" + } }, "outputs": [ { @@ -1143,10 +1165,10 @@ "cell_type": "code", "execution_count": null, "metadata": { + "id": "K19Axj284sbk", "pycharm": { "name": "#%%\n" - }, - "id": "K19Axj284sbk" + } }, "outputs": [], "source": [ @@ -1157,10 +1179,10 @@ "cell_type": "markdown", "metadata": { "collapsed": false, + "id": "_qylOeJw4sbk", "pycharm": { "name": "#%% md\n" - }, - "id": "_qylOeJw4sbk" + } }, "source": [ "If you want to check other integrations that we've made, please make sure to check out our [other examples](https://github.com/whylabs/whylogs/tree/mainline/python/examples) page.\n", @@ -1170,6 +1192,9 @@ } ], "metadata": { + "colab": { + "provenance": [] + }, "kernelspec": { "display_name": "Python 3.9.5 ('base')", "language": "python", @@ -1192,9 +1217,6 @@ "interpreter": { "hash": "8148c804a5838694570acf40aa3269caeebb6c584d51452dd558e946dfc16d39" } - }, - "colab": { - "provenance": [] } }, "nbformat": 4, diff --git a/python/examples/tutorials/Data_Validation_Tutorial.ipynb b/python/examples/tutorials/Data_Validation_Tutorial.ipynb index a0efa350ac..10234e44a5 100644 --- a/python/examples/tutorials/Data_Validation_Tutorial.ipynb +++ b/python/examples/tutorials/Data_Validation_Tutorial.ipynb @@ -72,7 +72,7 @@ }, "outputs": [], "source": [ - "%pip install -q whylogs[viz]" + "%pip install -q 'whylogs[viz]'" ] }, { diff --git a/python/poetry.lock b/python/poetry.lock index ca067a690d..7b639c8281 100644 --- a/python/poetry.lock +++ b/python/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand. [[package]] name = "2to3" @@ -74,13 +74,13 @@ files = [ [[package]] name = "appnope" -version = "0.1.3" +version = "0.1.4" description = "Disable App Nap on macOS >= 10.9" optional = false -python-versions = "*" +python-versions = ">=3.6" files = [ - {file = "appnope-0.1.3-py2.py3-none-any.whl", hash = "sha256:265a455292d0bd8a72453494fa24df5a11eb18373a60c7c0430889f22548605e"}, - {file = "appnope-0.1.3.tar.gz", hash = "sha256:02bd91c4de869fbb1e1c50aafc4098827a7a54ab2f39d9dcba6c9547ed920e24"}, + {file = "appnope-0.1.4-py2.py3-none-any.whl", hash = "sha256:502575ee11cd7a28c0205f379b525beefebab9d161b7c964670864014ed7213c"}, + {file = "appnope-0.1.4.tar.gz", hash = "sha256:1de3860566df9caf38f01f86f65e0e13e379af54f9e4bee1e66b48f2efffd1ee"}, ] [[package]] @@ -103,13 +103,13 @@ wrapt = ">=1.11,<2" [[package]] name = "attrs" -version = "23.1.0" +version = "23.2.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.7" files = [ - {file = "attrs-23.1.0-py3-none-any.whl", hash = "sha256:1f28b4522cdc2fb4256ac1a020c78acf9cba2c6b461ccd2c126f3aa8e8335d04"}, - {file = "attrs-23.1.0.tar.gz", hash = "sha256:6279836d581513a26f1bf235f9acd333bc9115683f14f7e8fae46c98fc50e015"}, + {file = "attrs-23.2.0-py3-none-any.whl", hash = "sha256:99b87a485a5820b23b879f04c2305b44b951b502fd64be915879d77a7e8fc6f1"}, + {file = "attrs-23.2.0.tar.gz", hash = "sha256:935dc3b529c262f6cf76e50877d35a4bd3c1de194fd41f47a2b7ae8f19971f30"}, ] [package.dependencies] @@ -117,10 +117,11 @@ importlib-metadata = {version = "*", markers = "python_version < \"3.8\""} [package.extras] cov = ["attrs[tests]", "coverage[toml] (>=5.3)"] -dev = ["attrs[docs,tests]", "pre-commit"] +dev = ["attrs[tests]", "pre-commit"] docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope-interface"] tests = ["attrs[tests-no-zope]", "zope-interface"] -tests-no-zope = ["cloudpickle", "hypothesis", "mypy (>=1.1.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"] +tests-mypy = ["mypy (>=1.6)", "pytest-mypy-plugins"] +tests-no-zope = ["attrs[tests-mypy]", "cloudpickle", "hypothesis", "pympler", "pytest (>=4.3.0)", "pytest-xdist[psutil]"] [[package]] name = "autoflake" @@ -139,18 +140,21 @@ tomli = {version = ">=2.0.1", markers = "python_version < \"3.11\""} [[package]] name = "babel" -version = "2.12.1" +version = "2.14.0" description = "Internationalization utilities" optional = true python-versions = ">=3.7" files = [ - 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"numpy", "orjson", "pandas", "pyarrow", "pybars3", "pyspark", "scikit-learn", "scikit-learn", "scipy", "scipy"] +all = ["Pillow", "Pillow", "boto3", "faster-fifo", "fugue", "google-cloud-storage", "ipython", "mlflow-skinny", "mlflow-skinny", "numpy", "numpy", "orjson", "pandas", "pyarrow", "pybars3", "pyspark", "scikit-learn", "scikit-learn", "scipy", "scipy"] datasets = ["pandas"] docs = ["furo", "ipython_genutils", "myst-parser", "nbconvert", "nbsphinx", "sphinx", "sphinx-autoapi", "sphinx-autobuild", "sphinx-copybutton", "sphinx-inline-tabs", "sphinxext-opengraph"] embeddings = ["numpy", "numpy", "scikit-learn", "scikit-learn"] fugue = ["fugue"] gcs = ["google-cloud-storage"] -image = ["Pillow", "numpy", "numpy"] -mlflow = ["mlflow-skinny", "mlflow-skinny"] +image = ["Pillow", "Pillow", "numpy", "numpy"] +mlflow = ["databricks-cli", "mlflow-skinny", "mlflow-skinny"] proc = ["faster-fifo", "orjson", "pandas"] proc-mp = ["orjson", "pandas"] s3 = ["boto3"] spark = ["pyarrow", "pyspark"] -viz = ["Pillow", "ipython", "numpy", "numpy", "pybars3", "scipy", "scipy"] +viz = ["Pillow", "Pillow", "ipython", "numpy", "numpy", "pybars3", "scipy", "scipy"] [metadata] lock-version = "2.0" python-versions = ">=3.7.1, <4" -content-hash = "e1c38e0eb6e96a5400dffaba5e539ba1d2465c0ddf5089ce71e811b868206d47" +content-hash = "5b484febaf63c54e7a4590390641235c6d05d12370ffff52ae9ed4416a7bd5e5" diff --git a/python/pyproject.toml b/python/pyproject.toml index 579b77e916..c1c1a42503 100644 --- a/python/pyproject.toml +++ b/python/pyproject.toml @@ -15,10 +15,10 @@ python = ">=3.7.1, <4" whylogs-sketching = ">=3.4.1.dev3" protobuf = ">=3.19.4" importlib-metadata = { version = "<4.3", python = "<3.8" } -typing-extensions = {version = ">=3.10", markers = "python_version < \"4\""} +typing-extensions = { version = ">=3.10", markers = "python_version < \"4\""} whylabs-client = "^0.6.2" requests = "^2.27" -types-requests = "^2.30.0.0" +platformdirs = "^3.5.0" # viz module. Everything after this should be optional pybars3 = { version = "^0.9", optional = true } @@ -49,11 +49,12 @@ nbsphinx = {version = "^0.8.9", optional = true} nbconvert = {version = "^7.0.0", optional = true} # Integrations dependencies -boto3 = {version = "^1.22.13", optional = true } +boto3 = {version = "^1.22.13", python = ">=3.8", optional = true } mlflow-skinny = [ { version = "^2.5.0", python = ">=3.8", optional = true }, { version = "<2.0.1", python = "<3.8", optional = true } ] +databricks-cli = {version = "^0.8.0", optional = true} google-cloud-storage = {version = "^2.5.0", optional = true} # Pyspark related dependencies @@ -65,7 +66,10 @@ faster-fifo = {version = "^1.4.5", optional = true} orjson = {version = "^3.8.10", optional = true} # Image support related dependencies -Pillow = {version = "^9.2.0", optional = true} +Pillow = [ + { version = ">=10.1.0, <11", python = ">=3.8", optional = true }, + { version = ">=9.2.0", python = "<3.8", optional = true } +] # Embeddings support related dependencies scikit-learn = [ @@ -75,7 +79,6 @@ scikit-learn = [ # Fugue related dependencies fugue = {version = "^0.8.1", optional = true} -platformdirs = "^3.5.0" [tool.poetry.extras] @@ -113,7 +116,8 @@ s3 = [ "boto3" ] mlflow = [ - "mlflow-skinny" + "mlflow-skinny", + "databricks-cli" ] image = [ "Pillow", @@ -174,12 +178,14 @@ pandas = "*" pandas-stubs = "*" ipykernel = ">=6.11" # for developing in Jupyter notebook types-python-dateutil = "^2.8.12" -moto = "^4.1.6" +moto = ">4.2" twine = "^4.0.1" gcp-storage-emulator = "^2022.6.11" -types-urllib3 = "^1.26.25.5" +urllib3 = ">=1.25.4, <1.27" +types-requests = "2.30.0.0" pyright = "^1.1.338" ruff = "^0.4.4" +pytest-xdist = {version = "^3.6.1", python = ">=3.8,<4"} [build-system] requires = ["poetry-core>=1.0.0"] diff --git a/python/test_notebooks/notebook_tests.py b/python/test_notebooks/notebook_tests.py index 9576d818cf..9e19218088 100644 --- a/python/test_notebooks/notebook_tests.py +++ b/python/test_notebooks/notebook_tests.py @@ -1,7 +1,11 @@ import os +import shutil import subprocess +import venv +import nbformat import papermill as pm +import pytest TEST_DIR = os.path.dirname(os.path.abspath(__file__)) PARENT_DIR = os.path.join(TEST_DIR, os.pardir, os.pardir) @@ -33,6 +37,7 @@ "NLP_Summarization.ipynb", "Multi dataset logger.ipynb", "Pyspark_and_Constraints.ipynb", + "Feature_Stores_and_whylogs.ipynb", "LocalStore_with_Constraints.ipynb", # skipped because it has over 4 minutes of thread.sleep in it "KS_Profiling.ipynb", # skipped because this takes a few minutes to run "Monitoring_Embeddings.ipynb", # skipped because needs user input @@ -40,41 +45,85 @@ "Transaction_Examples.ipynb", # skipped because API key required for whylabs writing ] +# Collect notebooks to test +git_files = ( + subprocess.check_output("git ls-tree --full-tree --name-only -r HEAD", shell=True).decode("utf-8").splitlines() +) +notebooks = [fn for fn in git_files if fn.endswith(".ipynb") and os.path.basename(fn) not in skip_notebooks] +venv_dirs = [os.path.join(TEST_DIR, f"venv_{os.path.basename(nb)}") for nb in notebooks] -# https://docs.pytest.org/en/6.2.x/example/parametrize.html#a-quick-port-of-testscenarios -def pytest_generate_tests(metafunc): - idlist = [] - argvalues = [] - for scenario in metafunc.cls.scenarios: - idlist.append(scenario[0]) - items = scenario[1].items() - argnames = [x[0] for x in items] - argvalues.append([x[1] for x in items]) - metafunc.parametrize(argnames, argvalues, ids=idlist, scope="class") +def pre_install_packages(notebook_path, venv_dir): + # Read the notebook and extract the pip commands + with open(notebook_path, "r", encoding="utf-8") as f: + nb = nbformat.read(f, as_version=4) + pip_commands = [] + for cell in nb["cells"]: + if cell["cell_type"] == "code": + lines = cell["source"].splitlines() + for line in lines: + if line.startswith("%pip install") or line.startswith("!pip install"): + pip_commands.append(line[1:]) -def process_notebook(notebook_filename): - """ - Checks if an IPython notebook runs without error from start to finish. If so, writes the - notebook to HTML (with outputs) and overwrites the .ipynb file (without outputs). - """ + if pip_commands: + activate_script = os.path.join(venv_dir, "bin", "activate") + if not os.path.exists(activate_script): + raise FileNotFoundError(f"Activation script not found: {activate_script}") + # Combine pip commands with `&&` after activating the venv + combined_commands = " && ".join(pip_commands) + command = f"source {activate_script} && {combined_commands}" + try: + print(f"Running command: {command}") + result = subprocess.run(command, shell=True, executable="/bin/bash", capture_output=True, text=True) + print(result.stdout) + print(result.stderr) + result.check_returncode() + except subprocess.CalledProcessError as e: + print(f"Failed to install packages for {notebook_path} with exception: {e}") + raise + + +def run_notebook_test(notebook, venv_dir): + notebook_path = os.path.join(PARENT_DIR, notebook) + # Activate the virtual environment + activate_script = os.path.join(venv_dir, "bin", "activate") + if not os.path.exists(activate_script): + raise FileNotFoundError(f"Activation script not found: {activate_script}") + command = f"source {activate_script} && python -m pip install --upgrade pip" + subprocess.check_call(command, shell=True, executable="/bin/bash") + # Execute the notebook try: - pm.execute_notebook(notebook_filename, OUTPUT_NOTEBOOK, timeout=180) + pm.execute_notebook( + notebook_path, + OUTPUT_NOTEBOOK, + kernel_name="python3", + parameters=dict(venv_path=venv_dir), + ) except Exception as e: - print(f"Notebook: {notebook_filename} failed test with exception: {e}") + print(f"Notebook: {notebook} failed test with exception: {e}") raise - - print(f"Successfully executed {notebook_filename}") + print(f"Successfully executed {notebook}") -class TestNotebooks: - git_files = ( - subprocess.check_output("git ls-tree --full-tree --name-only -r HEAD", shell=True).decode("utf-8").splitlines() - ) +@pytest.mark.parametrize("notebook, venv_dir", zip(notebooks, venv_dirs)) +def test_all_notebooks(notebook, venv_dir): + # Setup: Create a virtual environment for the notebook since these install various packages + os.makedirs(venv_dir, exist_ok=True) + if not os.listdir(venv_dir): + venv.create(venv_dir, with_pip=True) + else: + print(f"Using existing virtual environment in {venv_dir}") + # Verify the virtual environment is created correctly + bin_dir = os.path.join(venv_dir, "bin") + if not os.path.exists(bin_dir): + raise RuntimeError(f"Failed to create virtual environment in {venv_dir}") + else: + print(f"Virtual environment checked successfully in {venv_dir}") + notebook_path = os.path.join(PARENT_DIR, notebook) + # Before the notebook runs, extract and run the install commands so we have updated packages + pre_install_packages(notebook_path, venv_dir) - # Get just the notebooks from the git files - notebooks = [fn for fn in git_files if fn.endswith(".ipynb") and os.path.basename(fn) not in skip_notebooks] - scenarios = [(notebook, {"notebook": notebook}) for notebook in notebooks] - - def test_all_notebooks(self, notebook): - process_notebook(os.path.join(PARENT_DIR, notebook)) + try: + run_notebook_test(notebook, venv_dir) + finally: + shutil.rmtree(venv_dir, ignore_errors=True)