跳到正文
cccskills
免费在 GitHub 公开

ci

Guide for testing conventions and CI pipelines — unit tests, integration smoke tests, pytest markers, and GitHub Actions workflows. Use when the user asks about testing, CI, running tests, or adding tests for a recipe.

中文简介正在准备中。当前显示原文说明。

集成工具GitHub
查看安装方法

包含的文件(1)

  • SKILL.md4.0 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Testing & CI

The repo has two layers of testing and two CI workflows.

Reference

Read these for details:

  • tests/helpers.py — run_recipe() helper for smoke tests
  • tests/conftest.py — Pytest configuration and API key handling
  • tests/recipes/ — Existing recipe smoke tests
  • .github/workflows/pytest.yaml — Unit test CI (every PR)
  • .github/workflows/smoke-test-recipes.yaml — Smoke test CI (daily)
  • CONTRIBUTING.md — Development setup and test commands
  • pyproject.toml — Pytest configuration (testpaths, markers, file patterns)

Test structure

tinker-cookbook/
├── tinker_cookbook/
│   ├── renderers/parsing_test.py     # Unit tests: *_test.py next to source
│   ├── recipes/math_rl/math_env_test.py
│   └── ...
└── tests/
    ├── conftest.py                   # Skips integration tests without API key
    ├── helpers.py                    # run_recipe() helper
    └── recipes/
        ├── test_recipe_chat_sl.py    # Integration tests: test_recipe_*.py
        ├── test_recipe_dpo.py
        └── ...

Unit tests (*_test.py)

Colocated with source code. Run without API key.

uv run pytest tinker_cookbook/

Conventions:

  • File naming: <module>_test.py next to the code it tests
  • No network calls, no TINKER_API_KEY required
  • Fast (< 1s per test)
  • Use standard pytest features (fixtures, parametrize, marks)
  • Test picklability for components used in distributed rollout

Example: tinker_cookbook/renderers/parsing_test.py

Integration / smoke tests (test_recipe_*.py)

Live in tests/recipes/. Require TINKER_API_KEY. Verify recipes can run.

# Run all integration tests
uv run pytest tests/ -v -x -s

# Run a specific recipe test
uv run pytest tests/recipes/test_recipe_chat_sl.py -v -x -s

Conventions:

  • File naming: tests/recipes/test_recipe_<name>.py
  • Mark with @pytest.mark.integration
  • Use run_recipe() from tests/helpers.py
  • run_recipe() passes max_steps=2 by default — recipe runs 2 training steps and exits
  • Always pass behavior_if_log_dir_exists=delete to avoid CI conflicts
  • Override batch sizes to small values for fast execution

Template:

import pytest
from tests.helpers import run_recipe

@pytest.mark.integration
def test_my_recipe():
    run_recipe(
        "tinker_cookbook.recipes.my_recipe.train",
        [
            "behavior_if_log_dir_exists=delete",
            "groups_per_batch=4",
        ],
    )

How run_recipe() works

  1. Launches uv run python -m <module> <args> max_steps=2 as a subprocess
  2. Streams stdout in real time for CI debuggability
  3. Waits for clean exit (exit code 0) within timeout (default: 1800s)
  4. Fails if process exits non-zero or times out

Pytest markers

Defined in pyproject.toml:

  • @pytest.mark.integration — Requires API key, skipped locally without TINKER_API_KEY
  • @pytest.mark.slow — Long-running tests

tests/conftest.py auto-skips integration tests when TINKER_API_KEY is not set (fails on CI if missing).

CI workflows

pytest.yaml — Unit tests (every PR/push to main)

Trigger: push to main, pull requests
Runs: uv run pytest tinker_cookbook/
Requires: HF_TOKEN (for tokenizer access)

smoke-test-recipes.yaml — Integration tests (daily + manual)

Trigger: daily at 6am UTC, manual dispatch
Runs: Each test_recipe_*.py in parallel (matrix strategy)
Requires: TINKER_API_KEY, HF_TOKEN
Timeout: 20 min per recipe
Concurrency: 1 (avoid API contention)

Adding tests/recipes/test_recipe_<name>.py is all that's needed — CI auto-discovers it.

Running pre-commit checks

uv run ruff check tinker_cookbook/
uv run ruff format tinker_cookbook/
uv run pyright tinker_cookbook/
pre-commit run --all-files

评价

还没有评价。欢迎分享你的使用感受。

评论

无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。

还没有评论。来写第一条吧。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

同一仓库的技能

Guide for checkpointing — saving, loading, and resuming training with CheckpointRecord. Use when the user asks about saving weights, resuming training, checkpoint management, or the checkpoint lifecycle.

中文简介正在准备中。当前显示原文说明。

uiuc-kang-lab/rlvr_generalization_bounds52026年5月13日 更新

Guide for using completers — TokenCompleter and MessageCompleter for text generation during RL rollouts and evaluation. Use when the user asks about generating text, completing messages, or using completers in RL environments.

中文简介正在准备中。当前显示原文说明。

uiuc-kang-lab/rlvr_generalization_bounds52026年5月13日 更新

Guide for contributing to the tinker-cookbook repo — development setup, code style, type checking, PR process, and design conventions. Use when the user asks about how to contribute, set up the dev environment, code style, or project conventions.

中文简介正在准备中。当前显示原文说明。

uiuc-kang-lab/rlvr_generalization_bounds52026年5月13日 更新

datasets

免费

Guide for dataset construction — SupervisedDatasetBuilder, RLDatasetBuilder, ChatDatasetBuilder, and custom dataset creation from JSONL, HuggingFace, or conversation data. Use when the user asks about datasets, data loading, data preparation, or custom data formats.

中文简介正在准备中。当前显示原文说明。

uiuc-kang-lab/rlvr_generalization_bounds52026年5月13日 更新

Set up and run knowledge distillation (on-policy, off-policy, or multi-teacher) from a teacher model to a student model using the Tinker API. Use when the user wants to distill knowledge, compress models, or train a student from a teacher.

中文简介正在准备中。当前显示原文说明。

uiuc-kang-lab/rlvr_generalization_bounds52026年5月13日 更新

dpo

免费

Set up and run Direct Preference Optimization (DPO) training on preference datasets using the Tinker API. Use when the user wants to train with preference data, chosen/rejected pairs, or DPO.

中文简介正在准备中。当前显示原文说明。

uiuc-kang-lab/rlvr_generalization_bounds52026年5月13日 更新

查看 uiuc-kang-lab 的全部技能

报告此技能的问题