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Feature uv #2113

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144462e
Migrate dependencies to a single pyproject.toml file for use with the…
mtchoum1 Jun 26, 2025
6cbe7f3
Change the scripts so that it runs with uv
mtchoum1 Aug 1, 2025
1b678bd
Complete changes for pytorch+llcompressor to uv
mtchoum1 Aug 6, 2025
7f0a6e7
NO-JIRA: update dependencies in pyproject.toml (JupyterLab, Elyra, tr…
jiridanek Aug 26, 2025
253587a
NO-JIRA: replace `uv` with `micropipenv` in sync-requirements-txt.sh …
jiridanek Aug 26, 2025
9c75fa8
NO-JIRA: remove uv-renewal GitHub Action workflow
jiridanek Aug 26, 2025
876f919
NO-JIRA: update GitHub workflows to set `UV_PROJECT` dynamically
jiridanek Aug 26, 2025
e8a9e92
NO-JIRA: remove redundant blank lines in test files
jiridanek Aug 26, 2025
047ea3a
Update Pipfile.lock for Python 3.11
github-actions[bot] Aug 26, 2025
d8c792a
Update Pipfile.lock for Python 3.12
github-actions[bot] Aug 26, 2025
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6 changes: 4 additions & 2 deletions .github/workflows/build-notebooks-TEMPLATE.yaml
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Expand Up @@ -319,15 +319,17 @@ jobs:

# region Pytest image tests

- run: echo "UV_PROJECT=${PWD}/tests" >> "${GITHUB_ENV}"

# https://github.com/astral-sh/setup-uv
- name: Install the latest version of uv
uses: astral-sh/setup-uv@v5
with:
version: "latest"
python-version: "3.12"
enable-cache: true
cache-dependency-glob: "uv.lock"
pyproject-file: "pyproject.toml"
cache-dependency-glob: "tests/uv.lock"
pyproject-file: "tests/pyproject.toml"

- name: Check uv is installed correctly
run: uv version
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9 changes: 7 additions & 2 deletions .github/workflows/code-quality.yaml
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Expand Up @@ -34,15 +34,17 @@ jobs:
steps:
- uses: actions/checkout@v5

- run: echo "UV_PROJECT=${PWD}/tests" >> "${GITHUB_ENV}"

# https://github.com/astral-sh/setup-uv
- name: Install the latest version of uv
uses: astral-sh/setup-uv@v5
with:
version: "latest"
python-version: "3.12"
enable-cache: true
cache-dependency-glob: "uv.lock"
pyproject-file: "pyproject.toml"
cache-dependency-glob: "tests/uv.lock"
pyproject-file: "tests/pyproject.toml"

- name: Check uv is installed correctly
run: uv version
Expand All @@ -54,6 +56,9 @@ jobs:
- name: Run pre-commit on all files
run: |
uv run pre-commit run --all-files
env:
# warning: `VIRTUAL_ENV=.venv` does not match the project environment path `tests/.venv` and will be ignored; use `--active` to target the active environment instead
VIRTUAL_ENV: tests/.venv

- run: uv run pytest

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6 changes: 4 additions & 2 deletions .github/workflows/docs.yaml
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Expand Up @@ -18,15 +18,17 @@ jobs:
steps:
- uses: actions/checkout@v5

- run: echo "UV_PROJECT=${PWD}/tests" >> "${GITHUB_ENV}"

# https://github.com/astral-sh/setup-uv
- name: Install the latest version of uv
uses: astral-sh/setup-uv@v5
with:
version: "latest"
python-version: "3.12"
enable-cache: true
cache-dependency-glob: "uv.lock"
pyproject-file: "pyproject.toml"
cache-dependency-glob: "tests/uv.lock"
pyproject-file: "tests/pyproject.toml"

- name: Run the release notes script
run: |
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1 change: 1 addition & 0 deletions Makefile
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Expand Up @@ -477,6 +477,7 @@ refresh-pipfilelock-files:
echo "Regenerating requirements.txt files"
pushd $(ROOT_DIR)
bash $(ROOT_DIR)/scripts/sync-requirements-txt.sh
bash $(ROOT_DIR)/scripts/sync-pylock-toml.sh
popd
Comment on lines 477 to 481
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💡 Verification agent

🧩 Analysis chain

Good integration point; verify toolchain reproducibility

Hooking sync-pylock-toml.sh after requirements regeneration is sensible. Given the script auto-installs uv from PyPI, please confirm your CI runners permit networked tool bootstrapping and that the uv version is pinned to avoid churn in generated pylock.toml.

To verify determinism across lanes:

🏁 Script executed:

#!/bin/bash
# Expect identical pylock.toml across two uv versions on the same inputs (or document differences).
rg -n --glob 'jupyter/**/pylock.toml' || true

Length of output: 443

🏁 Script executed:

#!/bin/bash
# Locate and inspect the sync-pylock-toml.sh script for uv version pinning
rg -nF "sync-pylock-toml.sh" -l
sed -n '1,200p' scripts/sync-pylock-toml.sh

Length of output: 1190

Pin uv version in the bootstrap step and verify CI access

The sync-pylock-toml.sh script bootstraps uv with an unpinned pip install uv, which risks variability in the generated pylock.toml as new uv releases come out. To ensure reproducible builds:

• Confirm that your CI runners permit networked pip install uv during the sync step.
• In scripts/sync-pylock-toml.sh, pin the uv version in the install command. For example:

- uv --version || pip install uv
+ uv --version || pip install uv==<fixed-version>

Replace <fixed-version> with the vetted uv release used in your last successful run.
• (Optional) Document this pinned version in your Makefile or CI configuration, so future updates aren’t applied accidentally without review.

These changes will lock the toolchain and prevent unintended drift in your lockfiles.

Committable suggestion skipped: line range outside the PR's diff.

🤖 Prompt for AI Agents 
In Makefile around lines 477 to 481, the bootstrap step calls
scripts/sync-pylock-toml.sh which installs uv without pinning, causing
non-reproducible pylock.toml; update scripts/sync-pylock-toml.sh to replace the
unpinned pip install uv with a pinned version (use the last-vetted release as
<fixed-version>), ensure CI runners are allowed to perform networked pip
installs during this sync step (or add a job credential/mirror if not), and add
a short note in the Makefile or CI config documenting the pinned uv version so
future updates require explicit review.


# This is only for the workflow action
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Expand Up @@ -4,13 +4,18 @@ name = "notebooks"
version = "2025.1"
description = "Open Data Hub / OpenShift AI Notebook / Workbench images, and tests for the same in Python."
readme = "README.md"
package-mode = false
requires-python = ">=3.12,<3.13"
requires-python = ">=3.11,<3.13"

# https://docs.astral.sh/uv/concepts/projects/dependencies/#managing-dependencies
dependencies = []
# WARNING: Do NOT attempt `uv lock --universal` (the default) resolution on this pyproject.toml.
# It would work (had the ` conflics ` section were defined), but it would run 10+ minutes and produce a huge `uv.lock` file (60MiB+).
# Instead, use the `scripts/sync-requirements-txt.sh` script which runs in seconds.

[dependency-groups]

############################
# Python Dependency Groups #
############################

dev = [
"pre-commit",
"pyright",
Expand All @@ -32,11 +37,287 @@ dev = [
"openshift-python-wrapper",
]

base = [
"wheel~=0.45.1",
"setuptools~=78.1.1",
]

jupyter-base = [
"jupyterlab==4.4.4",
"jupyter-server~=2.16.0",
"jupyter-server-proxy~=4.4.0",
"jupyter-server-terminals~=0.5.3",
"jupyterlab-git~=0.51.1",
"nbdime~=4.0.2",
"nbgitpuller~=1.2.2",
]

elyra-base = [
"odh-elyra==4.2.3",
"jupyterlab-lsp~=5.1.1",
"jupyterlab-widgets~=3.0.15",
"jupyter-resource-usage~=1.1.1",
]

elyra-preferred = [
"jupyter-bokeh~=4.0.5",
]

elyra-trustyai = [
"jupyter-bokeh~=3.0.5", # trustyai 0.6.1 depends on jupyter-bokeh~=3.0.5
]

db-connectors = [
"pymongo~=4.11.2",
"psycopg~=3.2.5",
"pyodbc~=5.2.0",
"mysql-connector-python~=9.3.0",
]

# onnxconverter-common ~=1.13.0 required for skl2onnx, as upgraded version is not compatible with protobuf
datascience-base = [
"boto3~=1.37.8",
"kafka-python-ng~=2.2.3",
"kfp~=2.12.1",
"plotly~=6.0.0",
"scipy~=1.15.2",
"skl2onnx~=1.18.0",
"onnxconverter-common~=1.13.0",
"kubeflow-training==1.9.0",
]

codeflare = [
"codeflare-sdk~=0.30.0",
]

datascience-preferred = [
"matplotlib~=3.10.1",
"numpy~=2.2.3",
"pandas~=2.2.3",
"scikit-learn~=1.6.1",
]

datascience-tensorflow = [
"matplotlib~=3.10.1",
"numpy~=1.26.4",
"pandas~=2.2.3",
"scikit-learn~=1.6.1",
]

datascience-trustyai = [
"matplotlib~=3.6.3",
"numpy~=1.24.1",
"pandas~=1.5.3",
"scikit-learn~=1.7.0"
]

tensorflowcuda= [
"tensorflow[and-cuda]~=2.18.0",
"tensorboard~=2.18.0",
"tf2onnx~=1.16.1",
]
tensorflowrocm = [
"tensorflow-rocm~=2.18.1",
"tensorboard~=2.18.0",
"tf2onnx~=1.16.1",
]
pytorchcuda = [
"tensorboard~=2.19.0",
"torch==2.6.0",
"torchvision==0.21.0",
]
pytorchrocm = [
"tensorboard~=2.18.0",
"torch==2.6.0",
"torchvision==0.21.0",
"pytorch-triton-rocm~=3.2.0",
]
llmcompressor = [
"vllm~=0.8.5",
"llmcompressor~=0.6.0",
"lm-eval~=0.4.8",
"loguru",
"pyyaml>=5.0.0",
"requests>=2.0.0",
"tqdm>=4.0.0",
"transformers>4.0,<5.0",
"datasets",
"accelerate>=0.20.3,!=1.1.0",
"pynvml",
"pillow",
"compressed-tensors",
]
trustyai = [
"torch==2.6.0",
"transformers~=4.53.0; python_version == '3.11'",
"transformers~=4.55.0; python_version == '3.12'",
"datasets~=3.4.1",
"accelerate~=1.5.2",
"trustyai~=0.6.1",
]

#########################
# Workbench Image Groups #
#########################

# https://docs.astral.sh/uv/concepts/projects/workspaces/#when-not-to-use-workspaces

jupyter-minimal-image = [
{ include-group = "base" },
{ include-group = "jupyter-base" },
]

jupyter-datascience-image = [
{ include-group = "base" },
{ include-group = "jupyter-base" },
{ include-group = "elyra-base" },
{ include-group = "elyra-preferred" },
{ include-group = "datascience-base" },
{ include-group = "datascience-preferred" },
{ include-group = "codeflare" },
{ include-group = "db-connectors" },
]

jupyter-tensorflow-image = [
{ include-group = "base" },
{ include-group = "jupyter-base" },
{ include-group = "elyra-base" },
{ include-group = "elyra-preferred" },
{ include-group = "datascience-base" },
{ include-group = "datascience-tensorflow" },
{ include-group = "codeflare" },
{ include-group = "db-connectors" },
{ include-group = "tensorflowcuda" },
]

jupyter-tensorflow-rocm-image = [
{ include-group = "base" },
{ include-group = "jupyter-base" },
{ include-group = "elyra-base" },
{ include-group = "elyra-preferred" },
{ include-group = "datascience-base" },
{ include-group = "datascience-tensorflow" },
{ include-group = "codeflare" },
{ include-group = "db-connectors" },
{ include-group = "tensorflowrocm" },
]

jupyter-pytorch-image = [
{ include-group = "base" },
{ include-group = "jupyter-base" },
{ include-group = "elyra-base" },
{ include-group = "elyra-preferred" },
{ include-group = "datascience-base" },
{ include-group = "datascience-preferred" },
{ include-group = "codeflare" },
{ include-group = "db-connectors" },
{ include-group = "pytorchcuda" },
]

jupyter-pytorch-rocm-image = [
{ include-group = "base" },
{ include-group = "jupyter-base" },
{ include-group = "elyra-base" },
{ include-group = "elyra-preferred" },
{ include-group = "datascience-base" },
{ include-group = "datascience-preferred" },
{ include-group = "codeflare" },
{ include-group = "db-connectors" },
{ include-group = "pytorchrocm" },
]

jupyter-pytorch-llmcompressor-image = [
{ include-group = "base" },
{ include-group = "jupyter-base" },
{ include-group = "elyra-base" },
{ include-group = "elyra-preferred" },
{ include-group = "datascience-base" },
{ include-group = "datascience-tensorflow" },
{ include-group = "db-connectors" },
{ include-group = "llmcompressor" },
{ include-group = "pytorchcuda" },
]

jupyter-trustyai-image = [
{ include-group = "base" },
{ include-group = "jupyter-base" },
{ include-group = "elyra-base" },
{ include-group = "elyra-trustyai" },
{ include-group = "datascience-base" },
{ include-group = "datascience-trustyai" },
{ include-group = "codeflare" },
{ include-group = "db-connectors" },
{ include-group = "trustyai" },
{ include-group = "pytorchcuda" },
]

# https://docs.astral.sh/uv/concepts/projects/dependencies/#dependency-sources
[tool.uv.sources]

# NOTE: it is important to specify the `index` for the top-level groups, the ones used in the final resolution.
# Index values do not inherit from a lower-level group to the one where it is included.

# https://docs.astral.sh/uv/guides/integration/pytorch/#using-uv-with-pytorch
torch = [
{ index = "pytorch-cuda", group = "jupyter-pytorch-image" },
{ index = "pytorch-cuda", group = "jupyter-pytorch-llmcompressor-image" },
{ index = "pytorch-cuda", group = "jupyter-trustyai-image" },

{ index = "pytorch-rocm", group = "jupyter-pytorch-rocm-image" },
]
torchvision = [
{ index = "pytorch-cuda", group = "jupyter-pytorch-image" },
{ index = "pytorch-cuda", group = "jupyter-pytorch-llmcompressor-image" },
{ index = "pytorch-cuda", group = "jupyter-trustyai-image" },

{ index = "pytorch-rocm", group = "jupyter-pytorch-rocm-image" },
]
pytorch-triton-rocm = [
{ index = "pytorch-rocm", group = "jupyter-pytorch-rocm-image" },
]
tensorflow-rocm = [
{ url = "https://repo.radeon.com/rocm/manylinux/rocm-rel-6.4/tensorflow_rocm-2.18.1-cp312-cp312-manylinux_2_28_x86_64.whl", group = "jupyter-tensorflow-rocm-image" },
]

# https://docs.astral.sh/uv/concepts/indexes/#package-indexes
# TODO(jdanek): explicit = false, otherwise `uv pip compile --emit-index-url` wont emit it
# also see https://github.com/astral-sh/uv/issues/10008, https://github.com/astral-sh/uv/issues/15534
[[tool.uv.index]]
name = "pytorch-cuda"
url = "https://download.pytorch.org/whl/cu126"
explicit = true

[[tool.uv.index]]
name = "pytorch-rocm"
url = "https://download.pytorch.org/whl/rocm6.2.4"
explicit = true

[[tool.uv.index]]
name = "pypi"
url = "https://pypi.org/simple/"
explicit = true

[[tool.uv.dependency-metadata]]
name = "tf2onnx"
version = "1.16.1"
requires-dist = ["protobuf"]

[[tool.uv.dependency-metadata]]
name = "vllm"
version = "0.8.5"
requires-dist = ["compressed-tensors"]

[[tool.uv.dependency-metadata]]
name = "tensorflow-rocm"
version = "2.18.1"
requires-dist = []

[tool.uv]
package = false

# https://docs.astral.sh/uv/concepts/resolution/#platform-specific-resolution
environments = [
"sys_platform == 'darwin'",
"sys_platform == 'linux'",
"sys_platform == 'linux' and implementation_name == 'cpython'",
]

# https://github.com/astral-sh/uv/issues/3957#issuecomment-2659350181
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