Skip to content
MLflow tests

Run python3 dev/update_mlflow_versions.py post-release... #5644

Sign in to view logs

Run python3 dev/update_mlflow_versions.py post-release...

Run python3 dev/update_mlflow_versions.py post-release... #5644

Workflow file for this run

.github/workflows/master.yml at 697f1c3
name: MLflow tests
on:
pull_request:
types:
- opened
- synchronize
- reopened
- ready_for_review
push:
branches:
- master
- branch-[0-9]+.[0-9]+
permissions:
contents: read
concurrency:
group: ${{ github.workflow }}-${{ github.event_name }}-${{ github.ref }}
cancel-in-progress: true
# Use `bash --noprofile --norc -exo pipefail` by default for all `run` steps in this workflow:
# https://docs.github.com/en/actions/reference/workflow-syntax-for-github-actions#defaultsrun
defaults:
run:
shell: bash --noprofile --norc -exo pipefail {0}
env:
MLFLOW_HOME: /home/runner/work/mlflow/mlflow
# Note miniconda is pre-installed in the virtual environments for GitHub Actions:
# https://github.com/actions/virtual-environments/blob/main/images/linux/scripts/installers/miniconda.sh
MLFLOW_CONDA_HOME: /usr/share/miniconda
SPARK_LOCAL_IP: localhost
PIP_EXTRA_INDEX_URL: https://download.pytorch.org/whl/cpu
PYTHONUTF8: "1"
jobs:
# python-skinny tests cover a subset of mlflow functionality
# that is meant to be supported with a smaller dependency footprint.
# The python skinny tests cover the subset of mlflow functionality
# while also verifying certain dependencies are omitted.
python-skinny:
if: github.event_name != 'pull_request' || github.event.pull_request.draft == false
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
- uses: actions/checkout@v4
with:
submodules: recursive
- uses: ./.github/actions/untracked
- uses: ./.github/actions/setup-python
- name: Install dependencies
run: |
source ./dev/install-common-deps.sh --skinny
- name: Run tests
run: |
./dev/run-python-skinny-tests.sh
python:
if: github.event_name != 'pull_request' || github.event.pull_request.draft == false
runs-on: ubuntu-latest
timeout-minutes: 120
strategy:
fail-fast: false
matrix:
group: [1, 2]
include:
- splits: 2
steps:
- uses: actions/checkout@v4
with:
submodules: recursive
- uses: ./.github/actions/untracked
- uses: ./.github/actions/free-disk-space
- uses: ./.github/actions/setup-python
- uses: ./.github/actions/setup-pyenv
- uses: ./.github/actions/setup-java
- uses: ./.github/actions/cache-pip
- name: Install dependencies
run: |
python -m venv .venv
source .venv/bin/activate
source ./dev/install-common-deps.sh --ml
# transformers doesn't support Keras 3 yet. tf-keras needs to be installed as a workaround.
pip install tf-keras
- uses: ./.github/actions/show-versions
- uses: ./.github/actions/pipdeptree
- name: Import check
run: |
source .venv/bin/activate
python tests/check_mlflow_lazily_imports_ml_packages.py
- name: Run tests
run: |
source .venv/bin/activate
source dev/setup-ssh.sh
pytest --splits=${{ matrix.splits }} --group=${{ matrix.group }} --quiet --requires-ssh \
--ignore-flavors --ignore=tests/examples --ignore=tests/recipes --ignore=tests/evaluate \
--ignore tests/deployments/server tests
database:
if: github.event_name != 'pull_request' || github.event.pull_request.draft == false
runs-on: ubuntu-latest
timeout-minutes: 90
steps:
- uses: actions/checkout@v4
with:
submodules: recursive
- uses: ./.github/actions/untracked
- name: Build
run: |
./tests/db/compose.sh pull -q postgresql mysql mssql
docker images
./tests/db/compose.sh build --build-arg DEPENDENCIES="$(cat requirements/skinny-requirements.txt requirements/core-requirements.txt | grep -Ev '^(#|$)')"
- name: Run tests
run: |
set +e
err=0
trap 'err=1' ERR
for service in $(./tests/db/compose.sh config --services | grep '^mlflow-' | sort)
do
# Set `--no-TTY` to show container logs on GitHub Actions:
# https://github.com/actions/virtual-environments/issues/5022
./tests/db/compose.sh run --rm --no-TTY $service pytest \
tests/store/tracking/test_sqlalchemy_store.py \
tests/store/model_registry/test_sqlalchemy_store.py \
tests/db
done
test $err = 0
- name: Run migration check
run: |
set +e
err=0
trap 'err=1' ERR
./tests/db/compose.sh down --volumes --remove-orphans
for service in $(./tests/db/compose.sh config --services | grep '^migration-')
do
./tests/db/compose.sh run --rm --no-TTY $service
done
test $err = 0
- name: Clean up
run: |
./tests/db/compose.sh down --volumes --remove-orphans --rmi all
java:
if: github.event_name != 'pull_request' || github.event.pull_request.draft == false
runs-on: ubuntu-latest
timeout-minutes: 30
steps:
- uses: actions/checkout@v4
with:
submodules: recursive
- uses: ./.github/actions/untracked
- uses: ./.github/actions/setup-python
- uses: ./.github/actions/setup-java
- name: Install dependencies
run: |
source ./dev/install-common-deps.sh
- uses: ./.github/actions/show-versions
- uses: ./.github/actions/pipdeptree
- name: Run tests
run: |
cd mlflow/java
mvn clean package -q
flavors:
if: github.event_name != 'pull_request' || github.event.pull_request.draft == false
runs-on: ubuntu-latest
timeout-minutes: 120
steps:
- uses: actions/checkout@v4
with:
submodules: recursive
- uses: ./.github/actions/untracked
- uses: ./.github/actions/setup-python
- uses: ./.github/actions/setup-pyenv
- uses: ./.github/actions/setup-java
- uses: ./.github/actions/cache-pip
- name: Install dependencies
run: |
python -m venv .venv
source .venv/bin/activate
source ./dev/install-common-deps.sh --ml
# transformers doesn't support Keras 3 yet. tf-keras needs to be installed as a workaround.
pip install tf-keras
- uses: ./.github/actions/show-versions
- uses: ./.github/actions/pipdeptree
- name: Run tests
run: |
source .venv/bin/activate
pytest \
tests/utils/test_model_utils.py \
tests/tracking/fluent/test_fluent_autolog.py \
tests/autologging \
tests/server/auth
# It takes 9 ~ 10 minutes to run tests in `tests/models`. To make CI finish faster,
# run these tests in a separate job.
models:
if: github.event_name != 'pull_request' || github.event.pull_request.draft == false
runs-on: ubuntu-latest
timeout-minutes: 120
strategy:
fail-fast: false
matrix:
group: [1, 2]
include:
- splits: 2
steps:
- uses: actions/checkout@v4
with:
submodules: recursive
- uses: ./.github/actions/untracked
- uses: ./.github/actions/free-disk-space
- uses: ./.github/actions/setup-python
- uses: ./.github/actions/setup-pyenv
- uses: ./.github/actions/setup-java
- name: Install dependencies
run: |
source ./dev/install-common-deps.sh
pip install pyspark langchain langchain-community '.[mlserver]'
- uses: ./.github/actions/show-versions
- uses: ./.github/actions/pipdeptree
- name: Run tests
run: |
pytest --splits=${{ matrix.splits }} --group=${{ matrix.group }} tests/models
# NOTE: numpy is pinned in this suite due to its heavy reliance on shap, which internally uses
# references to the now fully deprecated (as of 1.24.x) numpy types (i.e., np.bool).
# When the shap cross version tests are passing in a new release version of shap, this pin should
# be removed.
evaluate:
if: github.event_name != 'pull_request' || github.event.pull_request.draft == false
runs-on: ubuntu-latest
timeout-minutes: 90
strategy:
fail-fast: false
matrix:
group: [1, 2]
include:
- splits: 2
steps:
- uses: actions/checkout@v4
with:
submodules: recursive
- uses: ./.github/actions/untracked
- uses: ./.github/actions/setup-python
- uses: ./.github/actions/setup-pyenv
- uses: ./.github/actions/setup-java
- name: Install dependencies
run: |
source ./dev/install-common-deps.sh
pip install pyspark torch transformers langchain langchain-experimental '.[genai]'
- uses: ./.github/actions/show-versions
- uses: ./.github/actions/pipdeptree
- name: Run tests
run: |
pytest --splits=${{ matrix.splits }} --group=${{ matrix.group }} tests/evaluate --ignore=tests/evaluate/test_default_evaluator_delta.py
- name: Run tests with delta
run: |
pytest tests/evaluate/test_default_evaluator_delta.py
pyfunc:
if: github.event_name != 'pull_request' || github.event.pull_request.draft == false
runs-on: ubuntu-latest
timeout-minutes: 120
strategy:
fail-fast: false
matrix:
group: [1, 2]
include:
- splits: 2
steps:
- uses: actions/checkout@v4
with:
submodules: recursive
- uses: ./.github/actions/untracked
- uses: ./.github/actions/free-disk-space
- uses: ./.github/actions/setup-python
- uses: ./.github/actions/setup-pyenv
- uses: ./.github/actions/setup-java
- name: Install dependencies
run: |
source ./dev/install-common-deps.sh
pip install tensorflow 'pyspark[connect]'
pip install typing_extensions -U
- uses: ./.github/actions/show-versions
- uses: ./.github/actions/pipdeptree
- name: Run tests
run: |
pytest --splits=${{ matrix.splits }} --group=${{ matrix.group }} --durations=30 \
tests/pyfunc --ignore tests/pyfunc/test_spark_connect.py
# test_spark_connect.py fails if it's run with other tests, so run it separately.
pytest tests/pyfunc/test_spark_connect.py
sagemaker:
if: github.event_name != 'pull_request' || github.event.pull_request.draft == false
runs-on: ubuntu-latest
timeout-minutes: 120
steps:
- uses: actions/checkout@v4
with:
submodules: recursive
- uses: ./.github/actions/untracked
- uses: ./.github/actions/setup-python
- uses: ./.github/actions/setup-java
- name: Install dependencies
run: |
source ./dev/install-common-deps.sh --ml
- uses: ./.github/actions/show-versions
- uses: ./.github/actions/pipdeptree
- name: Run tests
run: |
pytest tests/sagemaker
windows:
if: github.event_name != 'pull_request' || github.event.pull_request.draft == false
runs-on: windows-latest
timeout-minutes: 120
strategy:
fail-fast: false
matrix:
group: [1, 2]
include:
- splits: 2
steps:
- uses: actions/checkout@v4
with:
submodules: recursive
- uses: ./.github/actions/untracked
- uses: ./.github/actions/setup-python
- uses: ./.github/actions/setup-pyenv
- uses: ./.github/actions/setup-java
- uses: ./.github/actions/cache-pip
- name: Install python dependencies
run: |
python -m venv .venv
source .venv/Scripts/activate
python -m pip install -U pip
pip install --no-dependencies tests/resources/mlflow-test-plugin
pip install '.[extras,genai]'
pip install pyspark
# Install Hugging Face datasets to test Hugging Face usage with MLflow dataset tracking
pip install datasets
# Install TensorFlow to test TensorFlow dataset usage with MLflow dataset tracking
pip install tensorflow
# Install torch and transformers to test metrics
pip install torch transformers
pip install -r requirements/test-requirements.txt
# transformers doesn't support Keras 3 yet. tf-keras needs to be installed as a workaround.
pip install tf-keras
- uses: ./.github/actions/show-versions
- uses: ./.github/actions/pipdeptree
- name: Download Hadoop winutils for Spark
run: |
git clone https://github.com/cdarlint/winutils /tmp/winutils
- name: Run python tests
env:
# Starting from SQLAlchemy version 2.0, `QueuePool` is the default connection pool
# when creating an `Engine`. `QueuePool` prevents the removal of temporary database
# files created during tests on Windows as it keeps the DB connection open until
# it's explicitly disposed.
MLFLOW_SQLALCHEMYSTORE_POOLCLASS: "NullPool"
run: |
source .venv/Scripts/activate
# Set Hadoop environment variables required for testing Spark integrations on Windows
export HADOOP_HOME=/tmp/winutils/hadoop-3.2.2
export PATH=$PATH:$HADOOP_HOME/bin
# Run Windows tests
pytest --splits=${{ matrix.splits }} --group=${{ matrix.group }} \
--ignore-flavors --ignore=tests/projects --ignore=tests/examples --ignore=tests/recipes --ignore=tests/evaluate --ignore tests/deployments/server \
tests
# MLeap is incompatible on Windows with PySpark3.4 release.
# Reinstate tests when MLeap has released a fix. [ML-30491]
# pytest tests/mleap