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190 lines
6.2 KiB
Python
190 lines
6.2 KiB
Python
"""Regression tests for tree-sitter thread-local parser isolation.
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pyo3 marks _native::Parser as #[pyclass(unsendable)], meaning a Parser created
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on ThreadId(N) panics with an assertion error if accessed from ThreadId(M != N).
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The prior implementation cached parsers in a module-level dict, which caused the
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proxy's _run_compression_in_executor to pass a main-thread parser to a pool
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worker and panic.
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These tests verify that _get_parser() returns per-thread instances so no
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cross-thread access can occur.
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"""
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from __future__ import annotations
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import concurrent.futures
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import threading
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from collections.abc import Iterator
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import pytest
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from headroom.transforms.code_compressor import (
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_get_parser,
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_tree_sitter_local,
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is_tree_sitter_loaded,
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unload_tree_sitter,
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)
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try:
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import tree_sitter_language_pack # noqa: F401
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TREE_SITTER_INSTALLED = True
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except ImportError:
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TREE_SITTER_INSTALLED = False
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pytestmark = pytest.mark.skipif(
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not TREE_SITTER_INSTALLED,
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reason="tree-sitter-language-pack not installed",
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)
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@pytest.fixture(autouse=True)
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def clear_thread_local() -> Iterator[None]:
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"""Ensure the current thread's parser cache is clean before each test."""
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if hasattr(_tree_sitter_local, "parsers"):
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_tree_sitter_local.parsers = {}
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yield
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if hasattr(_tree_sitter_local, "parsers"):
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_tree_sitter_local.parsers = {}
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# ---------------------------------------------------------------------------
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# Isolation: separate threads must not share parser objects
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# ---------------------------------------------------------------------------
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def test_different_threads_get_different_parser_instances() -> None:
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"""Parser objects from different threads must be distinct instances."""
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results: dict[int, object] = {}
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def grab_parser(thread_index: int) -> None:
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parser = _get_parser("python")
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results[thread_index] = parser
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t1 = threading.Thread(target=grab_parser, args=(0,))
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t2 = threading.Thread(target=grab_parser, args=(1,))
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t1.start()
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t2.start()
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t1.join()
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t2.join()
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assert len(results) == 2, "Both threads should have completed"
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assert results[0] is not results[1], (
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"Each thread must own its own parser — sharing would trigger the pyo3 Unsendable panic"
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)
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def test_same_thread_reuses_parser_instance() -> None:
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"""Within a single thread, calling _get_parser twice returns the same object."""
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p1 = _get_parser("python")
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p2 = _get_parser("python")
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assert p1 is p2, "Same thread should reuse the cached parser (no unnecessary allocation)"
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def test_different_languages_cached_per_thread() -> None:
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"""Multiple language parsers are cached independently per thread."""
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py = _get_parser("python")
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js = _get_parser("javascript")
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assert py is not js
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# ---------------------------------------------------------------------------
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# Thread-pool executor: simulates _run_compression_in_executor behaviour
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# ---------------------------------------------------------------------------
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def test_parser_usable_in_thread_pool() -> None:
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"""Parser must be usable inside a ThreadPoolExecutor without panicking."""
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def parse_in_worker() -> bool:
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parser = _get_parser("python")
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tree = parser.parse("x = 1\n")
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return tree is not None
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with concurrent.futures.ThreadPoolExecutor(max_workers=2) as executor:
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futures = [executor.submit(parse_in_worker) for _ in range(4)]
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results = [f.result() for f in concurrent.futures.as_completed(futures)]
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assert all(results), "All pool-thread parse calls should succeed"
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def test_concurrent_pool_workers_get_separate_parsers() -> None:
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"""Each distinct pool thread gets its own parser; same thread reuses the same one.
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A pool with N_WORKERS threads running N_TASKS tasks gives at most N_WORKERS
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unique parsers (not N_TASKS) — correct, because parsers are per-thread not
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per-call.
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"""
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N_WORKERS = 4
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N_TASKS = 8
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parser_ids_by_thread: dict[int, int] = {} # thread ident -> parser id
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lock = threading.Lock()
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def collect_parser() -> None:
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parser = _get_parser("python")
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ident = threading.current_thread().ident or 0
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with lock:
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if ident in parser_ids_by_thread:
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# Same thread must return the cached (same) parser
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assert parser_ids_by_thread[ident] == id(parser), (
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"Same thread returned a different parser on a second call"
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)
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else:
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parser_ids_by_thread[ident] = id(parser)
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with concurrent.futures.ThreadPoolExecutor(max_workers=N_WORKERS) as executor:
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futures = [executor.submit(collect_parser) for _ in range(N_TASKS)]
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for f in futures:
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f.result()
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assert len(parser_ids_by_thread) <= N_WORKERS, (
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"There should be at most one parser per pool thread"
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)
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assert len(set(parser_ids_by_thread.values())) == len(parser_ids_by_thread), (
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"Each distinct thread must own a unique parser instance"
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)
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# ---------------------------------------------------------------------------
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# is_tree_sitter_loaded / unload_tree_sitter respect thread-local scope
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# ---------------------------------------------------------------------------
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def test_is_loaded_false_before_first_call() -> None:
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assert not is_tree_sitter_loaded(), "No parsers loaded yet in this thread"
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def test_is_loaded_true_after_get_parser() -> None:
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_get_parser("python")
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assert is_tree_sitter_loaded()
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def test_unload_clears_current_thread_parsers() -> None:
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_get_parser("python")
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assert is_tree_sitter_loaded()
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unloaded = unload_tree_sitter()
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assert unloaded
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assert not is_tree_sitter_loaded()
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def test_unload_in_one_thread_does_not_affect_another() -> None:
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"""Unloading parsers in thread A must not affect thread B's cache."""
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thread_b_state: dict[str, bool] = {}
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def thread_b_work() -> None:
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_get_parser("python")
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thread_b_state["before"] = is_tree_sitter_loaded()
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t = threading.Thread(target=thread_b_work)
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t.start()
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# Main thread loads then unloads
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_get_parser("python")
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unload_tree_sitter()
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t.join()
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assert thread_b_state.get("before") is True, (
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"Thread B's parser should be unaffected by unload in thread A"
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)
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