mirror of
https://github.com/elastic/eland.git
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Elasticsearch uses v1.11 of PyTorch. Models created with the latest PyTorch release (v1.12) are not compatible with v1.11. This pins the PyTorch version to 1.11 to prevent the incompatibility. The version of the Elasticsearch Python client is now required to be >= Eland. All users of Eland for importing NLP models should upgrade.
191 lines
6.3 KiB
Python
191 lines
6.3 KiB
Python
# Licensed to Elasticsearch B.V. under one or more contributor
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# license agreements. See the NOTICE file distributed with
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# this work for additional information regarding copyright
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# ownership. Elasticsearch B.V. licenses this file to you under
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# the Apache License, Version 2.0 (the "License"); you may
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# not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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import os
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import subprocess
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from pathlib import Path
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import nox
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BASE_DIR = Path(__file__).parent
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SOURCE_FILES = ("setup.py", "noxfile.py", "eland/", "docs/", "utils/", "tests/", "bin/")
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# Whenever type-hints are completed on a file it should
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# be added here so that this file will continue to be checked
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# by mypy. Errors from other files are ignored.
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TYPED_FILES = (
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"eland/actions.py",
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"eland/arithmetics.py",
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"eland/common.py",
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"eland/etl.py",
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"eland/filter.py",
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"eland/index.py",
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"eland/query.py",
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"eland/tasks.py",
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"eland/utils.py",
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"eland/groupby.py",
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"eland/operations.py",
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"eland/ndframe.py",
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"eland/ml/__init__.py",
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"eland/ml/_optional.py",
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"eland/ml/_model_serializer.py",
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"eland/ml/ml_model.py",
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"eland/ml/pytorch/__init__.py",
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"eland/ml/pytorch/_pytorch_model.py",
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"eland/ml/pytorch/transformers.py",
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"eland/ml/transformers/__init__.py",
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"eland/ml/transformers/base.py",
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"eland/ml/transformers/lightgbm.py",
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"eland/ml/transformers/sklearn.py",
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"eland/ml/transformers/xgboost.py",
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"eland/plotting/_matplotlib/__init__.py",
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)
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@nox.session(reuse_venv=True)
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def format(session):
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session.install("black", "isort", "flynt")
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session.run("python", "utils/license-headers.py", "fix", *SOURCE_FILES)
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session.run("flynt", *SOURCE_FILES)
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session.run("black", "--target-version=py37", *SOURCE_FILES)
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session.run("isort", "--profile=black", *SOURCE_FILES)
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lint(session)
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@nox.session(reuse_venv=True)
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def lint(session):
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# Install numpy to use its mypy plugin
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# https://numpy.org/devdocs/reference/typing.html#mypy-plugin
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session.install("black", "flake8", "mypy", "isort", "numpy")
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session.install("--pre", "elasticsearch>=8.3,<9")
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session.run("python", "utils/license-headers.py", "check", *SOURCE_FILES)
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session.run("black", "--check", "--target-version=py37", *SOURCE_FILES)
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session.run("isort", "--check", "--profile=black", *SOURCE_FILES)
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session.run("flake8", "--ignore=E501,W503,E402,E712,E203", *SOURCE_FILES)
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# TODO: When all files are typed we can change this to .run("mypy", "--strict", "eland/")
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session.log("mypy --show-error-codes --strict eland/")
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for typed_file in TYPED_FILES:
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if not os.path.isfile(typed_file):
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session.error(f"The file {typed_file!r} couldn't be found")
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process = subprocess.run(
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["mypy", "--show-error-codes", "--strict", typed_file],
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env=session.env,
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stdout=subprocess.PIPE,
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stderr=subprocess.STDOUT,
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)
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# Ensure that mypy itself ran successfully
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assert process.returncode in (0, 1)
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errors = []
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for line in process.stdout.decode().split("\n"):
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filepath = line.partition(":")[0]
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if filepath in TYPED_FILES:
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errors.append(line)
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if errors:
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session.error("\n" + "\n".join(sorted(set(errors))))
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@nox.session(python=["3.7", "3.8", "3.9", "3.10"])
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@nox.parametrize("pandas_version", ["1.2.0", "1.3.0"])
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def test(session, pandas_version: str):
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session.install("-r", "requirements-dev.txt")
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session.install(".")
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session.run("python", "-m", "pip", "install", f"pandas~={pandas_version}")
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session.run("python", "-m", "tests.setup_tests")
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pytest_args = (
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"python",
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"-m",
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"pytest",
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"--cov-report=term-missing",
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"--cov=eland/",
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"--cov-config=setup.cfg",
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"--doctest-modules",
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"--nbval",
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)
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# PyTorch doesn't support Python 3.10 yet
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if session.python == "3.10":
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pytest_args += ("--ignore=eland/ml/pytorch",)
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session.run(
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*pytest_args,
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*(session.posargs or ("eland/", "tests/")),
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)
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# Only run during default test execution
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if not session.posargs:
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session.run(
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"python",
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"-m",
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"pip",
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"uninstall",
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"--yes",
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"scikit-learn",
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"xgboost",
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"lightgbm",
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)
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session.run("pytest", "tests/ml/")
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@nox.session(reuse_venv=True)
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def docs(session):
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# Run this so users get an error if they don't have Pandoc installed.
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session.run("pandoc", "--version", external=True)
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session.install("-r", "docs/requirements-docs.txt")
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session.install(".")
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# See if we have an Elasticsearch cluster active
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# to rebuild the Jupyter notebooks with.
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es_active = False
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try:
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from elasticsearch import ConnectionError, Elasticsearch
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try:
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es = Elasticsearch("http://localhost:9200")
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es.info()
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if not es.indices.exists(index="flights"):
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session.run("python", "-m", "tests.setup_tests")
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es_active = True
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except ConnectionError:
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pass
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except ImportError:
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pass
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# Rebuild all the example notebooks inplace
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if es_active:
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session.install("jupyter-client", "ipykernel")
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for filename in os.listdir(BASE_DIR / "docs/sphinx/examples"):
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if (
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filename.endswith(".ipynb")
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and filename != "introduction_to_eland_webinar.ipynb"
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):
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session.run(
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"jupyter",
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"nbconvert",
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"--to",
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"notebook",
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"--inplace",
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"--execute",
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str(BASE_DIR / "docs/sphinx/examples" / filename),
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)
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session.cd("docs")
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session.run("make", "clean", external=True)
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session.run("make", "html", external=True)
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