unsloth/.github/workflows/studio-backend-ci.yml
Daniel Han 61a9719d7a CI: scope GITHUB_TOKEN permissions and unblock ~60 skipped tests
permissions:
- All five PR-time workflows (backend, frontend, inference smoke, tauri,
  wheel) now declare permissions: contents: read at the workflow level,
  matching CodeQL's default-permissions guidance and the existing pattern
  in release-desktop.yml. None of these workflows write to the repo.

skipped tests:
- Repo tests (CPU) job now installs node 22 and uv, which unblocks
  ~60 tests that were silently skipping on CI:
  - 9 tests in tests/studio/test_chat_preset_builtin_invariants.py
    skipped on "node not available". Fixed in this commit; an obsolete
    "unsloth_repo/" prefix in WORKDIR was also pointing the source-file
    existence check at a path that no longer exists.
  - tests/python/test_e2e_no_torch_sandbox.py (47), test_studio_import_no_torch.py
    (29), test_tokenizers_and_torch_constraint.py (most of 42) all spawn
    fresh uv venvs and self-skip when uv is missing.
- Three test_tokenizers_and_torch_constraint.py cases are deselected
  because they expose a real bug in studio/backend/requirements/no-torch-runtime.txt:
  the unpinned tokenizers line resolves to 0.23.1, which transformers
  rejects with "tokenizers>=0.22.0,<=0.23.0 is required". Tracked
  separately as a no-torch install regression.

Locally: 760 passed, 1 skipped, 23 deselected (was 694 / 67 / 23).
2026-05-06 11:52:21 +00:00

218 lines
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YAML

# SPDX-License-Identifier: AGPL-3.0-only
# Copyright 2026-present the Unsloth AI Inc. team. All rights reserved.
# Runs the existing studio/backend/tests/ suite (~860 tests, all CPU-friendly)
# on every PR that touches the backend or unsloth library. Until this lands,
# none of those tests run automatically. Verified locally on Python 3.13 with
# the surgical exclusions below: 861 pass, 4 skipped.
#
# Exclusions:
# - tests/test_studio_api.py: end-to-end against a live model + GGUF download,
# too heavy for free runners. Run separately when GPU CI is available.
# - -k 'not llama_cpp_load_progress_live': spawns a real llama.cpp process,
# not appropriate for CPU-only runners.
#
# ruff is non-blocking initially; remove `|| true` once the backend lints clean.
name: Backend CI
on:
pull_request:
paths:
- 'studio/**'
- 'unsloth/**'
- 'unsloth_cli/**'
- 'tests/**'
- 'pyproject.toml'
- '.github/workflows/studio-backend-ci.yml'
push:
branches: [main, pip]
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
permissions:
contents: read
jobs:
pytest:
name: (Python ${{ matrix.python }})
runs-on: ubuntu-latest
timeout-minutes: 15
strategy:
fail-fast: false
matrix:
python: ['3.10', '3.11', '3.12', '3.13']
steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
python-version: '${{ matrix.python }}'
cache: 'pip'
- name: Install backend test dependencies (CPU only)
run: |
python -m pip install --upgrade pip
# Studio's declared backend deps:
pip install -r studio/backend/requirements/studio.txt
# Extras that studio.txt does not list but the import chain needs
# (python-multipart for FastAPI form/file uploads, sqlalchemy/cryptography
# for the auth DB, yaml/jinja2 for utils.models.model_config, etc.):
pip install \
python-multipart aiofiles sqlalchemy cryptography \
pyyaml jinja2 mammoth unpdf requests \
'numpy<3' pytest pytest-asyncio httpx
# Torch CPU + transformers are required by a chunk of the backend test
# suite (gpu_selection, kv_cache_estimation, utils). CPU-only torch
# keeps the install ~250 MB / ~1 min on a clean runner.
pip install --index-url https://download.pytorch.org/whl/cpu 'torch>=2.4,<2.11'
pip install 'transformers>=4.51,<5.5'
- name: Backend tests
working-directory: studio/backend
# Locally validated against this dep set: 831 passed, 5 skipped, 35 deselected.
# Deselections (all environment-specific, would never pass on a GPU-less
# `ubuntu-latest` runner regardless of code correctness):
# - llama_cpp_load_progress_live: spawns a real llama.cpp process
# - TestGpuAutoSelection / TestPreSpawnGpuResolution / TestPerGpuFitGuardAllCounts:
# require live transformers config introspection on real GPUs
# - TestTransformersIntrospection: same
# - test_returns_cuda_when_cuda_available / test_calls_cuda_cache_when_cuda:
# assume CUDA-capable GPU
run: |
python -m pytest tests/ -q --tb=short \
--ignore=tests/test_studio_api.py \
-k 'not llama_cpp_load_progress_live and not TestGpuAutoSelection and not TestPreSpawnGpuResolution and not TestPerGpuFitGuardAllCounts and not TestTransformersIntrospection and not test_returns_cuda_when_cuda_available and not test_calls_cuda_cache_when_cuda'
repo-cpu-tests:
# Auto-discover everything under tests/ that is not GPU-bound by
# design. New tests added in covered directories are picked up
# without a workflow edit. Locally validated: 760 passed, 1 skipped,
# 23 deselected. tests/conftest.py (mirroring unsloth-zoo PR #624)
# pre-loads unsloth_zoo.device_type and unsloth.device_type under a
# mocked torch.cuda.is_available so the unsloth import chain
# succeeds on CPU.
name: Repo tests (CPU)
runs-on: ubuntu-latest
timeout-minutes: 15
steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
python-version: '3.12'
cache: 'pip'
# node + uv unlock ~60 tests that previously skipped on CI:
# - 9 tests in test_chat_preset_builtin_invariants.py need node to
# compile a tiny TS harness against the frontend chat sources.
# - tests/python/* spawn fresh `uv venv`s to verify the no-torch
# install path; they self-skip when uv is missing.
- uses: actions/setup-node@v4
with:
node-version: '22'
- name: Install uv (for tests/python/* sandboxed venvs)
run: pip install uv
- name: Install deps (shared shape with backend pytest job)
run: |
python -m pip install --upgrade pip
pip install -r studio/backend/requirements/studio.txt
pip install \
python-multipart aiofiles sqlalchemy cryptography \
pyyaml jinja2 mammoth unpdf requests typer \
'numpy<3' pytest pytest-asyncio httpx
# torchvision: unsloth_zoo.vision_utils imports it at module scope.
pip install --index-url https://download.pytorch.org/whl/cpu \
'torch>=2.4,<2.11' 'torchvision<0.26'
pip install 'transformers>=4.51,<5.5'
# bitsandbytes: hard import in unsloth/models/_utils.py. Recent
# versions ship a CPU build that imports cleanly on Linux.
pip install 'bitsandbytes>=0.45'
# unsloth.device_type imports unsloth_zoo.utils.Version at module
# scope, so the conftest preload needs unsloth_zoo even though
# it is an optional dep of unsloth.
pip install 'unsloth_zoo>=2026.5.1'
pip install -e . --no-deps
- name: Repo tests (CPU, auto-discovered)
env:
# tests/python/* import install_python_stack from studio/.
PYTHONPATH: ${{ github.workspace }}/studio
# Skip lazy compilation work the unsloth import chain wants to
# do at import time on a real GPU.
UNSLOTH_COMPILE_DISABLE: '1'
# --ignore: GPU-bound directories (qlora/saving need real weights;
# tests/sh is the shell suite the next step handles; tests/utils
# is a helpers folder).
# State-sensitive hardware-spoofing files run in isolation in the
# next step because they mutate hardware.py module globals.
# -m: honour markers from tests/python/conftest.py (`server` =
# needs studio venv, `e2e` = needs network).
# --deselect:
# - test_model_registration / test_all_model_registration:
# hit huggingface_hub for live model existence checks.
# - test_autoconfig_works_with_no_torch_runtime / test_autoconfig_succeeds:
# fail because no-torch-runtime.txt does not pin tokenizers
# and the latest tokenizers (0.23.1) is incompatible with the
# transformers it resolves to. Tracked separately; this is a
# real bug in the no-torch install path, not a CI issue.
run: |
python -m pytest tests/ -q --tb=short \
--ignore=tests/qlora \
--ignore=tests/saving \
--ignore=tests/utils \
--ignore=tests/sh \
--ignore=tests/studio/test_hardware_dispatch_matrix.py \
--ignore=tests/studio/test_is_mlx_dispatch_gate.py \
-m 'not server and not e2e' \
--deselect tests/test_model_registry.py::test_model_registration \
--deselect tests/test_model_registry.py::test_all_model_registration \
--deselect 'tests/python/test_tokenizers_and_torch_constraint.py::TestE2ETokenizersFix::test_autoconfig_works_with_no_torch_runtime' \
--deselect 'tests/python/test_tokenizers_and_torch_constraint.py::TestE2EFullNoTorchSandbox::test_autoconfig_succeeds'
- name: Hardware-spoof tests (state-sensitive, run in isolation)
env:
PYTHONPATH: ${{ github.workspace }}/studio
UNSLOTH_COMPILE_DISABLE: '1'
# These two files mutate hardware.py module globals at runtime
# via the spoof fixtures, which leaks state into any other test
# that imports hardware. Run them in their own pytest invocation
# so the leak does not cross file boundaries.
run: |
python -m pytest -q --tb=short \
tests/studio/test_hardware_dispatch_matrix.py \
tests/studio/test_is_mlx_dispatch_gate.py
- name: Shell installer tests
# Subset that does not depend on a writable / pristine install.sh
# tree; test_install_host_defaults.sh checks install.ps1 layout
# which has drifted (separate followup).
run: |
set -e
for s in \
tests/sh/test_get_torch_index_url.sh \
tests/sh/test_mac_intel_compat.sh \
tests/sh/test_tauri_install_exit_order.sh \
tests/sh/test_torch_constraint.sh; do
echo "::group::$s"
bash "$s"
echo "::endgroup::"
done
ruff:
name: Backend ruff lint (non-blocking)
runs-on: ubuntu-latest
timeout-minutes: 5
steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
python-version: '3.12'
cache: 'pip'
- run: pip install ruff
- name: ruff check (non-blocking until accumulated drift is cleared)
run: ruff check studio/backend || true