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Support the flytectl config.yaml admin.clientSecretEnvVar option in flytekit #7173

Support the flytectl config.yaml admin.clientSecretEnvVar option in flytekit

Support the flytectl config.yaml admin.clientSecretEnvVar option in flytekit #7173

Workflow file for this run

name: Build
on:
push:
branches:
- master
pull_request:
env:
FLYTE_SDK_LOGGING_LEVEL: 10 # debug
jobs:
build:
runs-on: ${{ matrix.os }}
strategy:
fail-fast: false
matrix:
os: [ubuntu-latest, windows-latest, macos-latest]
python-version: ["3.8", "3.9", "3.10", "3.11"]
exclude:
# Ignore this test because we failed to install docker-py
# docker-py will install pywin32==227, whereas pywin only added support for python 3.10 in version 301.
# For more detail, see https://github.com/flyteorg/flytekit/pull/856#issuecomment-1067152855
- python-version: 3.10
os: windows-latest
steps:
- uses: actions/checkout@v2
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v2
with:
python-version: ${{ matrix.python-version }}
- name: Cache pip
uses: actions/cache@v2
with:
# This path is specific to Ubuntu
path: ~/.cache/pip
# Look to see if there is a cache hit for the corresponding requirements files
key: ${{ format('{0}-pip-{1}', runner.os, hashFiles('dev-requirements.in', 'requirements.in')) }}
- name: Install dependencies
run: |
make setup && pip freeze
- name: Test with coverage
run: |
make unit_test_codecov
- name: Codecov
uses: codecov/codecov-action@v3.1.0
with:
fail_ci_if_error: false
build-integration:
runs-on: ${{ matrix.os }}
strategy:
fail-fast: false
matrix:
os: [ubuntu-latest]
# python 3.11 has intermittent issues with the docker build + push step
# https://github.com/flyteorg/flytekit/actions/runs/5800978835/job/15724237979?pr=1579
python-version: ["3.8", "3.9", "3.10"]
steps:
- uses: actions/checkout@v2
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v2
with:
python-version: ${{ matrix.python-version }}
- name: Cache pip
uses: actions/cache@v2
with:
# This path is specific to Ubuntu
path: ~/.cache/pip
# Look to see if there is a cache hit for the corresponding requirements files
key: ${{ format('{0}-pip-{1}', runner.os, hashFiles('dev-requirements.in', 'requirements.in')) }}
- name: Install dependencies
run: make setup && pip freeze
- name: Install FlyteCTL
uses: unionai-oss/flytectl-setup-action@master
- name: Setup Flyte Sandbox
run: |
flytectl demo start
flytectl config init
- name: Build and push to local registry
run: |
docker build . -f Dockerfile.dev -t localhost:30000/flytekit:dev --build-arg PYTHON_VERSION=${{ matrix.python-version }}
docker push localhost:30000/flytekit:dev
- name: Integration Test with coverage
env:
FLYTEKIT_IMAGE: localhost:30000/flytekit:dev
FLYTEKIT_CI: 1
run: make integration_test_codecov
- name: Codecov
uses: codecov/codecov-action@v3.1.0
with:
fail_ci_if_error: false
build-plugins:
needs: build
runs-on: ubuntu-latest
strategy:
fail-fast: false
matrix:
python-version: ["3.8", "3.9", "3.10", "3.11"]
plugin-names:
# Please maintain an alphabetical order in the following list
- flytekit-aws-athena
- flytekit-aws-batch
- flytekit-aws-sagemaker
- flytekit-bigquery
- flytekit-dask
- flytekit-data-fsspec
- flytekit-dbt
- flytekit-deck-standard
- flytekit-dolt
- flytekit-duckdb
- flytekit-envd
- flytekit-greatexpectations
- flytekit-hive
- flytekit-huggingface
- flytekit-k8s-pod
- flytekit-kf-mpi
- flytekit-kf-pytorch
- flytekit-kf-tensorflow
- flytekit-mlflow
- flytekit-modin
- flytekit-onnx-pytorch
- flytekit-onnx-scikitlearn
# onnx-tensorflow needs a version of tensorflow that does not work with protobuf>4.
# The issue is being tracked on the tensorflow side in https://github.com/tensorflow/tensorflow/issues/53234#issuecomment-1330111693
# flytekit-onnx-tensorflow
- flytekit-pandera
- flytekit-papermill
- flytekit-polars
- flytekit-ray
- flytekit-snowflake
- flytekit-spark
- flytekit-sqlalchemy
- flytekit-vaex
- flytekit-whylogs
exclude:
# flytekit-modin depends on ray which does not have a 3.11 wheel yet.
# Issue tracked in https://github.com/ray-project/ray/issues/27881
- python-version: 3.11
plugin-names: "flytekit-modin"
- python-version: 3.11
plugin-names: "flytekit-ray"
# Great-expectations does not support python 3.11 due to sqlachemy>=2.0.0
# not being supported yet:
# https://github.com/great-expectations/great_expectations/issues/7020
- python-version: 3.11
plugin-names: "flytekit-greatexpectations"
# onnxruntime does not support python 3.10 yet
# https://github.com/microsoft/onnxruntime/issues/9782
- python-version: 3.10
plugin-names: "flytekit-onnx-pytorch"
- python-version: 3.10
plugin-names: "flytekit-onnx-scikitlearn"
- python-version: 3.10
plugin-names: "flytekit-onnx-tensorflow"
- python-version: 3.11
plugin-names: "flytekit-onnx-pytorch"
- python-version: 3.11
plugin-names: "flytekit-onnx-scikitlearn"
- python-version: 3.11
plugin-names: "flytekit-onnx-tensorflow"
# numba, a dependency of mlflow, doesn't support python 3.11
# https://github.com/numba/numba/issues/8304
- python-version: 3.11
plugin-names: "flytekit-mlflow"
# pyspark 3.4.0 will support python 3.11, which isn't available yet
# Issue tracked in: https://github.com/apache/spark/pull/38987
- python-version: 3.11
plugin-names: "flytekit-spark"
# vaex currently doesn't support python 3.11
- python-version: 3.11
plugin-names: "flytekit-vaex"
# whylogs does support python 3.11 dataclass restrictions
# See: https://github.com/flyteorg/flytekit/actions/runs/4493746408/jobs/7905368664
- python-version: 3.11
plugin-names: "flytekit-whylogs"
steps:
- uses: actions/checkout@v2
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v2
with:
python-version: ${{ matrix.python-version }}
- name: Cache pip
uses: actions/cache@v2
with:
# This path is specific to Ubuntu
path: ~/.cache/pip
# Look to see if there is a cache hit for the corresponding requirements files
key: ${{ format('{0}-pip-{1}', runner.os, hashFiles('dev-requirements.txt', format('plugins/{0}/requirements.txt', matrix.plugin-names ))) }}
- name: Install dependencies
run: |
make setup
cd plugins/${{ matrix.plugin-names }}
pip install -r requirements.txt
if [ -f dev-requirements.txt ]; then pip install -r dev-requirements.txt; fi
pip install -U https://github.com/flyteorg/flytekit/archive/${{ github.sha }}.zip#egg=flytekit
pip freeze
- name: Test with coverage
run: |
cd plugins/${{ matrix.plugin-names }}
# onnx plugins does not support protobuf>4 yet (in fact it is tensorflow that
# does not support that yet). More details in https://github.com/onnx/onnx/issues/4239.
if [[ ${{ matrix.plugin-names }} == *"onnx"* || ${{ matrix.plugin-names }} == "flytekit-whylogs" || ${{ matrix.plugin-names }} == "flytekit-mlflow" ]]; then
PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python coverage run -m pytest tests
else
coverage run -m pytest tests
fi
lint:
runs-on: ubuntu-latest
steps:
- name: Fetch the code
uses: actions/checkout@v2
- name: Set up Python 3.8
uses: actions/setup-python@v2
with:
python-version: 3.8
- uses: actions/cache@v2
with:
path: ~/.cache/pip
key: ${{ runner.os }}-pip-${{ hashFiles('**/dev-requirements.in') }}
restore-keys: |
${{ runner.os }}-pip-
- name: Install dependencies
run: |
python -m pip install --upgrade pip
pip install -r dev-requirements.in
- name: Lint
run: |
make lint
- name: ShellCheck
uses: ludeeus/action-shellcheck@master
with:
ignore_paths: boilerplate
docs:
runs-on: ubuntu-latest
steps:
- name: Fetch the code
uses: actions/checkout@v3
- name: Set up Python 3.9
uses: actions/setup-python@v4
with:
python-version: 3.9
- name: Install dependencies
run: |
python -m pip install --upgrade pip==21.2.4 setuptools wheel
pip install -r doc-requirements.txt
- name: Build the documentation
run: |
# TODO: Remove after buf migration is done and packages updated
PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python make -C docs html