mirror of
https://github.com/elastic/eland.git
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We added the `pytorch` module which is type checked but was not in the noxfile as such. This change also addresses type errors that arose after adding type checking.
179 lines
5.9 KiB
Python
179 lines
5.9 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")
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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 --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", "--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"])
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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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session.run(
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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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*(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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try:
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import elasticsearch
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es = elasticsearch.Elasticsearch("localhost:9200")
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es.info()
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if not es.indices.exists("flights"):
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session.run("python", "-m", "tests.setup_tests")
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es_active = True
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except Exception:
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es_active = False
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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/source/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/source/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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