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running-all-tests

Runs every test suite in the paddler workspace on the fastest available device. Use when the user asks to run the tests, run all the tests, run the full test suite, or check that everything still passes.

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intentee/paddler
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2026년 9월 29일 03:19
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SKILL.md
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name
running-all-tests
description
Runs every test suite in the paddler workspace on the fastest available device. Use when the user asks to run the tests, run all the tests, run the full test suite, or check that everything still passes.
# Running all tests Run every test suite in the workspace, picking the fastest compiled device backend for the host. ## Step 1: detect the device Run this once at the start and echo the chosen device: ```bash if [[ "$OSTYPE" == "darwin"* ]]; then DEVICE=metal elif command -v nvidia-smi >/dev/null 2>&1 && nvidia-smi >/dev/null 2>&1; then DEVICE=cuda else DEVICE=cpu fi echo "Device: $DEVICE" ``` `$DEVICE` selects the Paddler binary and the Rust feature set every suite in Step 2 runs against. ## Step 2: run the suites Copy this checklist and tick each item as the suite completes: ``` - [ ] JS client - [ ] JS client LLM - [ ] Python lint - [ ] Python client - [ ] Python client LLM - [ ] OpenAI Python client LLM - [ ] Rust unit - [ ] Rust integration ``` | # | Suite | Command (from the repo root) | |---|--------------------------|-------------------------------------------------------| | 1 | JS client | `TEST_DEVICE=$DEVICE make test.client.js` | | 2 | JS client LLM | `TEST_DEVICE=$DEVICE make test.client.js.llm` | | 3 | Python lint | `make lint.client.python lint.openai.python` | | 4 | Python client | `TEST_DEVICE=$DEVICE make test.client.python` | | 5 | Python client LLM | `TEST_DEVICE=$DEVICE make test.client.python.llm` | | 6 | OpenAI Python client LLM | `TEST_DEVICE=$DEVICE make test.openai.python.llm` | | 7 | Rust unit | `TEST_DEVICE=$DEVICE make test.unit` | | 8 | Rust integration | `TEST_DEVICE=$DEVICE make test.integration` | Run them in this order. Cheap suites (1, 3, 4, 7) surface bugs quickly; the GPU-bound suites (2, 5, 6, 8) load models. On NixOS the pinned `ruff` wheel is dynamically linked, so suite 3 needs `nix-ld`. ## Step 3: rules during the run - **Serialize GPU suites.** When `$DEVICE` is `cuda` or `metal`, run test suites sequentially to avoid device contention. - **Per-test 30 s budget.** Flag any individual test that exceeds 30 s wall-clock. That is a real bug — production or test — not flakiness. ## Step 4: report After all suites finish, sum up the results in an actionable report.
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