mirror of
https://github.com/elastic/eland.git
synced 2025-07-11 00:02:14 +08:00
160 lines
5.3 KiB
Python
160 lines
5.3 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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import elasticsearch
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BASE_DIR = Path(__file__).parent
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SOURCE_FILES = (
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"setup.py",
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"noxfile.py",
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"eland/",
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"docs/",
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"utils/",
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)
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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/ml/__init__.py",
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"eland/ml/_model_serializer.py",
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"eland/ml/imported_ml_model.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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}
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@nox.session(reuse_venv=True)
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def blacken(session):
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session.install("black")
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session.run("python", "utils/license-headers.py", "fix", *SOURCE_FILES)
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session.run("black", "--target-version=py36", *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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session.install("black", "flake8", "mypy")
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session.run("python", "utils/license-headers.py", "check", *SOURCE_FILES)
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session.run("black", "--check", "--target-version=py36", *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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popen = subprocess.Popen(
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f"mypy --strict {typed_file}",
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env=session.env,
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shell=True,
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stdout=subprocess.PIPE,
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stderr=subprocess.STDOUT,
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)
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popen.wait()
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errors = []
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for line in popen.stdout.read().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=["3.6", "3.7", "3.8"])
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def test(session):
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session.install("-r", "requirements-dev.txt")
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session.run("python", "-m", "eland.tests.setup_tests")
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session.run("pytest", "--doctest-modules", *(session.posargs or ("eland/",)))
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session.run("python", "-m", "pip", "uninstall", "--yes", "scikit-learn", "xgboost")
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session.run("pytest", "eland/tests/ml/")
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@nox.session(python=["3.6", "3.7", "3.8"], name="test-ml-deps")
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def test_ml_deps(session):
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def session_uninstall(*deps):
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session.run("python", "-m", "pip", "uninstall", "--yes", *deps)
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session.install("-r", "requirements-dev.txt")
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session.run("python", "-m", "eland.tests.setup_tests")
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session_uninstall("xgboost", "scikit-learn", "lightgbm")
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session.run("pytest", *(session.posargs or ("eland/tests/ml/",)))
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session.install(".[scikit-learn]")
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session.run("pytest", *(session.posargs or ("eland/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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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", "eland.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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