tractor/.claude/skills/run-tests/SKILL.md

Run the tractor test suite using pytest. Follow this process:

1. Parse user intent

From the user’s message and any arguments, determine:

• scope: full suite, specific file(s), specific test(s), or a keyword pattern (-k).
• transport: which IPC transport protocol to test against (default: tcp, also: uds).
• options: any extra pytest flags the user wants (e.g. --ll debug, --tpdb, -x, -v).

If the user provides a bare path or pattern as argument, treat it as the test target. Examples:

• /run-tests → full suite
• /run-tests test_local.py → single file
• /run-tests test_registrar -v → file + verbose
• /run-tests -k cancel → keyword filter
• /run-tests tests/ipc/ --tpt-proto uds → subdir + UDS

2. Construct the pytest command

Base command:

python -m pytest

Default flags (always include unless user overrides):

• -x (stop on first failure)
• --tb=short (concise tracebacks)
• --no-header (reduce noise)

Path resolution:

• If the user gives a bare filename like test_local.py, resolve it under tests/.
• If the user gives a subdirectory like ipc/, resolve under tests/ipc/.
• Glob if needed: tests/**/test_*<pattern>*.py

Key pytest options for this project:

Flag	Purpose
--ll <level>	Set tractor log level (e.g. debug, info, runtime)
--tpdb / --debug-mode	Enable tractor’s multi-proc debugger
--tpt-proto <key>	IPC transport: tcp (default) or uds
--spawn-backend <be>	Spawn method: trio (default), mp_spawn, mp_forkserver
-k <expr>	pytest keyword filter
-v / -vv	Verbosity
-s	No output capture (useful with --tpdb)

Common combos:

# quick smoke test of core modules
python -m pytest tests/test_local.py tests/test_rpc.py -x --tb=short --no-header

# full suite, stop on first failure
python -m pytest tests/ -x --tb=short --no-header

# specific test with debug
python -m pytest tests/discovery/test_registrar.py::test_reg_then_unreg -x -s --tpdb --ll debug

# run with UDS transport
python -m pytest tests/ -x --tb=short --no-header --tpt-proto uds

# keyword filter
python -m pytest tests/ -x --tb=short --no-header -k "cancel and not slow"

3. Pre-flight checks (before running tests)

Worktree venv detection

If running inside a git worktree (git rev-parse --git-common-dir differs from --git-dir), verify the Python being used is from the worktree’s own venv, not the main repo’s. Check:

python -c "import tractor; print(tractor.__file__)"

If the path points outside the worktree (e.g. to the main repo), set up a local venv first:

UV_PROJECT_ENVIRONMENT=py<MINOR> uv sync

where <MINOR> matches the active cpython minor version (detect via python --version, e.g. py313 for 3.13, py314 for 3.14). Then use py<MINOR>/bin/python for all subsequent commands.

Why this matters: without a worktree-local venv, subprocesses spawned by tractor resolve modules from the main repo’s editable install, causing spurious AttributeError / ModuleNotFoundError for code that only exists on the worktree’s branch.

Import + collection checks

Always run these, especially after refactors or module moves — they catch import errors instantly:

# 1. package import smoke check
python -c 'import tractor; print(tractor)'

# 2. verify all tests collect (no import errors)
python -m pytest tests/ -x -q --co 2>&1 | tail -5

If either fails, fix the import error before running any actual tests.

4. Run and report

• Run the constructed command.
• Use a timeout of 600000ms (10min) for full suite runs, 120000ms (2min) for single-file runs.
• If the suite is large (full tests/), consider running in the background and checking output when done.
• Use --lf (last-failed) to re-run only previously failing tests when iterating on a fix.

On failure:

• Show the failing test name(s) and short traceback.
• If the failure looks related to recent changes, point out the likely cause and suggest a fix.
• Check the known-flaky list (section 8) before investigating — don’t waste time on pre-existing timeout issues.
• NEVER auto-commit fixes. If you apply a code fix during test iteration, leave it unstaged. Tell the user what changed and suggest they review the worktree state, stage files manually, and use /commit-msg (inline or in a separate session) to generate the commit message. The human drives all git add and git commit operations.

On success:

• Report the pass/fail/skip counts concisely.

5. Test directory layout (reference)

tests/
├── conftest.py          # root fixtures, daemon, signals
├── devx/                # debugger/tooling tests
├── ipc/                 # transport protocol tests
├── msg/                 # messaging layer tests
├── discovery/           # discovery subsystem tests
│   ├── test_multiaddr.py  # multiaddr construction
│   └── test_registrar.py  # registry/discovery protocol
├── test_local.py        # registrar + local actor basics
├── test_rpc.py          # RPC error handling
├── test_spawning.py     # subprocess spawning
├── test_multi_program.py  # multi-process tree tests
├── test_cancellation.py # cancellation semantics
├── test_context_stream_semantics.py  # ctx streaming
├── test_inter_peer_cancellation.py   # peer cancel
├── test_infected_asyncio.py  # trio-in-asyncio
└── ...

6. Change-type → test mapping

After modifying specific modules, run the corresponding test subset first for fast feedback:

Changed module(s)	Run these tests first
runtime/_runtime.py, runtime/_state.py	test_local.py test_rpc.py test_spawning.py test_root_runtime.py
discovery/ (_registry, _discovery, _addr)	tests/discovery/ test_multi_program.py test_local.py
_context.py, _streaming.py	test_context_stream_semantics.py test_advanced_streaming.py
ipc/ (_chan, _server, _transport)	tests/ipc/ test_2way.py
runtime/_portal.py, runtime/_rpc.py	test_rpc.py test_cancellation.py
spawn/ (_spawn, _entry)	test_spawning.py test_multi_program.py
devx/debug/	tests/devx/test_debugger.py (slow!)
to_asyncio.py	test_infected_asyncio.py test_root_infect_asyncio.py
msg/	tests/msg/
_exceptions.py	test_remote_exc_relay.py test_inter_peer_cancellation.py
runtime/_supervise.py	test_cancellation.py test_spawning.py

7. Quick-check shortcuts

After refactors (fastest first-pass):

# import + collect check
python -c 'import tractor' && python -m pytest tests/ -x -q --co 2>&1 | tail -3

# core subset (~10s)
python -m pytest tests/test_local.py tests/test_rpc.py tests/test_spawning.py tests/discovery/test_registrar.py -x --tb=short --no-header

Re-run last failures only:

python -m pytest --lf -x --tb=short --no-header

Full suite in background:

When core tests pass and you want full coverage while continuing other work, run in background:

python -m pytest tests/ -x --tb=short --no-header -q

(use run_in_background=true on the Bash tool)

8. Known flaky tests

These tests have pre-existing timing/environment sensitivity. If they fail with TooSlowError or pexpect TIMEOUT, they are almost certainly NOT caused by your changes — note them and move on.

Test	Typical error	Notes
devx/test_debugger.py::test_multi_nested_subactors_error_through_nurseries	pexpect TIMEOUT	Debugger pexpect timing
test_cancellation.py::test_cancel_via_SIGINT_other_task	TooSlowError	Signal handling race
test_inter_peer_cancellation.py::test_peer_spawns_and_cancels_service_subactor	TooSlowError	Async timing (both param variants)
test_docs_examples.py::test_example[we_are_processes.py]	assert None == 0	__main__ missing __file__ in subproc

Rule of thumb: if a test fails with TooSlowError, trio.TooSlowError, or pexpect.TIMEOUT and you didn’t touch the relevant code path, it’s flaky — skip it.