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