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Migrate Skyvern to uv from poetry (#3554)

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Co-authored-by: ellipsis-dev[bot] <65095814+ellipsis-dev[bot]@users.noreply.github.com>
Co-authored-by: stas <stas@skyvern.com>
This commit is contained in:
Stanislav Novosad
2025-09-30 15:19:12 -06:00
committed by GitHub
parent 878ef36a36
commit d61179e132
19 changed files with 17563 additions and 23282 deletions
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4
.github/sync.yml vendored
View File

@@ -4,8 +4,8 @@ Skyvern-AI/skyvern-cloud:
deleteOrphaned: true
- source: pyproject.toml
dest: pyproject.toml
- source: poetry.lock
dest: poetry.lock
- source: uv.lock
dest: uv.lock
- source: setup.sh
dest: setup.sh
- source: .env.example

72
.github/workflows/ci.yml vendored
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@@ -32,52 +32,38 @@ jobs:
- uses: actions/checkout@v3
# If you wanted to use multiple Python versions, you'd have specify a matrix in the job and
# reference the matrixe python version here.
- uses: actions/setup-python@v4
- uses: actions/setup-python@v6
with:
python-version: "3.11"
# Cache the installation of Poetry itself, e.g. the next step. This prevents the workflow
# from installing Poetry every time, which can be slow. Note the use of the Poetry version
# number in the cache key, and the "-0" suffix: this allows you to invalidate the cache
# manually if/when you want to upgrade Poetry, or if something goes wrong. This could be
# mildly cleaner by using an environment variable, but I don't really care.
- name: cache poetry install
uses: actions/cache@v3
# Install uv (fast, single-file binary)
- name: Install uv
run: |
curl -LsSf https://astral.sh/uv/install.sh | sh
echo "$HOME/.local/bin" >> $GITHUB_PATH
# Cache uv's download/resolve cache to speed up CI (optional but nice)
- name: Cache uv global cache
uses: actions/cache@v4
with:
path: ~/.local
key: poetry-1.7.1
# Install Poetry. You could do this manually, or there are several actions that do this.
# `snok/install-poetry` seems to be minimal yet complete, and really just calls out to
# Poetry's default install script, which feels correct. I pin the Poetry version here
# because Poetry does occasionally change APIs between versions and I don't want my
# actions to break if it does.
#
# The key configuration value here is `virtualenvs-in-project: true`: this creates the
# venv as a `.venv` in your testing directory, which allows the next step to easily
# cache it.
- uses: snok/install-poetry@v1
with:
version: 1.7.1
virtualenvs-create: true
virtualenvs-in-project: true
# Cache your dependencies (i.e. all the stuff in your `pyproject.toml`). Note the cache
# key: if you're using multiple Python versions, or multiple OSes, you'd need to include
# them in the cache key. I'm not, so it can be simple and just depend on the poetry.lock.
- name: cache deps
id: cache-deps
uses: actions/cache@v3
path: ~/.cache/uv
key: uv-cache-${{ runner.os }}-${{ hashFiles('**/pyproject.toml', '**/uv.lock') }}
# Cache the project virtualenv (keyed by Python version + lockfile)
- name: Cache venv
id: cache-venv
uses: actions/cache@v4
with:
path: .venv
key: pydeps-${{ hashFiles('**/poetry.lock') }}
# Install dependencies. `--no-root` means "install all dependencies but not the project
# itself", which is what you want to avoid caching _your_ code. The `if` statement
# ensures this only runs on a cache miss.
- run: poetry install --no-interaction --no-root
if: steps.cache-deps.outputs.cache-hit != 'true'
# Now install _your_ project. This isn't necessary for many types of projects -- particularly
# things like Django apps don't need this. But it's a good idea since it fully-exercises the
# pyproject.toml and makes that if you add things like console-scripts at some point that
# they'll be installed and working.
- run: poetry install --no-interaction
key: venv-${{ runner.os }}-py${{ steps.setup-python.outputs.python-version || '3.11' }}-${{ hashFiles('**/uv.lock') }}
# Create/refresh the environment (installs main + dev groups)
- name: Sync deps with uv
if: steps.cache-venv.outputs.cache-hit != 'true'
run: |
uv lock
uv sync --group dev
# Ensure venv is current even on cache hit (cheap no-op if up to date)
- name: Ensure environment is up to date
if: steps.cache-venv.outputs.cache-hit == 'true'
run: |
uv sync --group dev
# Finally, run pre-commit.
- name: Run all pre-commit hooks
uses: pre-commit/action@v3.0.0
@@ -102,14 +88,14 @@ jobs:
AZURE_GPT4O_MINI_API_VERSION: "dummy"
AWS_REGION: "us-east-1"
ENABLE_BEDROCK: "true"
run: poetry run ./run_alembic_check.sh
run: uv run ./run_alembic_check.sh
- name: trigger tests
env:
ENABLE_OPENAI: "true"
OPENAI_API_KEY: "sk-dummy"
AWS_ACCESS_KEY_ID: "dummy"
AWS_SECRET_ACCESS_KEY: "dummy"
run: poetry run pytest
run: uv run pytest
fe-lint-build:
name: Frontend Lint and Build
runs-on: ubuntu-latest

23
.github/workflows/codeflash.yaml vendored
View File

@@ -22,22 +22,23 @@ jobs:
with:
fetch-depth: 0
- name: Set up Python
uses: actions/setup-python@v5
uses: actions/setup-python@v6
with:
python-version: "3.11"
- name: Install Project Dependencies
- name: Install uv
run: |
python -m pip install --upgrade pip
pip install poetry
poetry install --all-extras
poetry add codeflash
- name: create test dir
curl -LsSf https://astral.sh/uv/install.sh | sh
echo "$HOME/.local/bin" >> $GITHUB_PATH
- name: Sync project dependencies
run: |
mkdir -p codeflash-tests
uv sync --group dev
- name: Install Codeflash into venv
run: |
uv pip install codeflash
- name: Create test dir
run: mkdir -p codeflash-tests
- name: Run Codeflash to optimize code
run: |
poetry env use python
poetry run codeflash
run: uv run codeflash
- name: remove test dir
run: |-
rm -rf codeflash-tests

72
.github/workflows/sdk-release.yml vendored
View File

@@ -45,58 +45,44 @@ jobs:
uses: actions/checkout@v4
# If you wanted to use multiple Python versions, you'd have specify a matrix in the job and
# reference the matrixe python version here.
- uses: actions/setup-python@v4
- name: Setup Python
id: setup-python
uses: actions/setup-python@v6
with:
python-version: "3.11"
# Cache the installation of Poetry itself, e.g. the next step. This prevents the workflow
# from installing Poetry every time, which can be slow. Note the use of the Poetry version
# number in the cache key, and the "-0" suffix: this allows you to invalidate the cache
# manually if/when you want to upgrade Poetry, or if something goes wrong. This could be
# mildly cleaner by using an environment variable, but I don't really care.
- name: cache poetry install
uses: actions/cache@v3
# Cache the installation of `uv` itself, e.g. the next step. This prevents the workflow
# from installing `uv` every time, which can be slow.
- name: Install uv
run: |
curl -LsSf https://astral.sh/uv/install.sh | sh
echo "$HOME/.local/bin" >> $GITHUB_PATH
# Cache uv's global cache (resolver/downloads) for speed
- name: Cache uv cache
uses: actions/cache@v4
with:
path: ~/.local
key: poetry-1.7.1
# Install Poetry. You could do this manually, or there are several actions that do this.
# `snok/install-poetry` seems to be minimal yet complete, and really just calls out to
# Poetry's default install script, which feels correct. I pin the Poetry version here
# because Poetry does occasionally change APIs between versions and I don't want my
# actions to break if it does.
#
# The key configuration value here is `virtualenvs-in-project: true`: this creates the
# venv as a `.venv` in your testing directory, which allows the next step to easily
# cache it.
- uses: snok/install-poetry@v1
with:
version: 1.7.1
virtualenvs-create: true
virtualenvs-in-project: true
# Cache your dependencies (i.e. all the stuff in your `pyproject.toml`). Note the cache
# key: if you're using multiple Python versions, or multiple OSes, you'd need to include
# them in the cache key. I'm not, so it can be simple and just depend on the poetry.lock.
- name: cache deps
id: cache-deps
uses: actions/cache@v3
path: ~/.cache/uv
key: uv-cache-${{ runner.os }}-${{ hashFiles('**/pyproject.toml', '**/uv.lock') }}
# Cache the project venv (keyed by lockfile + Python)
- name: Cache venv
id: cache-venv
uses: actions/cache@v4
with:
path: .venv
key: pydeps-${{ hashFiles('**/poetry.lock') }}
# Install dependencies. `--no-root` means "install all dependencies but not the project
# itself", which is what you want to avoid caching _your_ code. The `if` statement
# ensures this only runs on a cache miss.
- run: poetry install --no-interaction --no-root
if: steps.cache-deps.outputs.cache-hit != 'true'
# Now install _your_ project. This isn't necessary for many types of projects -- particularly
# things like Django apps don't need this. But it's a good idea since it fully-exercises the
# pyproject.toml and makes that if you add things like console-scripts at some point that
# they'll be installed and working.
- run: poetry install --no-interaction
key: venv-${{ runner.os }}-py${{ steps.setup-python.outputs.python-version || '3.11' }}-${{ hashFiles('**/uv.lock') }}
# Create/refresh environment. We install dev deps to get twine/build.
- name: Sync dependencies
if: steps.cache-venv.outputs.cache-hit != 'true'
run: |
uv sync --group dev
- name: Ensure environment is up to date (on cache hit)
if: steps.cache-venv.outputs.cache-hit == 'true'
run: uv sync --group dev
- name: Clean dist directory
run: rm -rf dist
- name: Build Package
run: poetry build
run: uv build
- name: Publish to PyPI
env:
TWINE_USERNAME: __token__
TWINE_PASSWORD: ${{ secrets.PYPI_TOKEN }}
run: poetry run twine upload --repository pypi dist/*
run: uv run twine upload --repository pypi dist/*