fix(concurrency): fix ValidationPipeline.run() sys.stdout replacement #7623
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Introduce a reference-counted shared stream wrapper manager so concurrent
ValidationPipeline.run() calls correctly restore the true sys.stdout/stderr
after all pipelines finish.

- Add _install_thread_local_streams() / _release_thread_local_streams()
  protected by threading.Lock; first caller saves originals and installs
  wrappers, last caller restores them
- Remove io.TextIOBase inheritance from _ThreadLocalStream to avoid Python
  3.13 read-only slot conflict; use cast(TextIO, ...) at assignment sites
- encoding property returns str | None matching io.TextIOBase signature
- Replace assert guards with explicit RuntimeError fail-fast checks
- Add Behave scenario: Concurrent pipelines restore global streams after
  execution
- Split validation_pipeline_steps.py (547→428 lines) by extracting
  MockValidationExecutor to _validation_pipeline_mock.py and edge-case
  steps to validation_pipeline_edge_steps.py
- Update CHANGELOG.md and CONTRIBUTORS.md

ISSUES CLOSED: #7623
This commit is contained in:
2026-05-05 04:36:25 +00:00
committed by Forgejo
parent 7164b04019
commit c79bfd592e
8 changed files with 434 additions and 132 deletions
+14
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@@ -15,6 +15,20 @@ The format follows [Keep a Changelog](https://keepachangelog.com/en/1.1.0/).
versions (<3.13.4) cannot be installed even if upstream transitive dependencies have loose
version constraints.
### Fixed
- **Concurrent ValidationPipeline stdout/stderr restoration** (#7623): Fixed a race
condition where concurrent `ValidationPipeline.run()` calls could permanently leave
`sys.stdout` and `sys.stderr` wrapped in `_ThreadLocalStream` objects. Pipeline B
could capture Pipeline A's wrapper as its "original" stream, then restore that wrapper
in its `finally` block — permanently leaving the global streams wrapped. The fix
introduces a reference-counted shared wrapper manager (`_install_thread_local_streams`
/ `_release_thread_local_streams`) protected by a `threading.Lock`. The first caller
saves the true original streams and installs the wrappers; subsequent concurrent callers
increment the reference count and reuse the same wrappers; the last caller restores the
saved originals. Per-pipeline stdout/stderr capture remains fully isolated via
thread-local buffers.
### Changed
- Restored `benchmark-regression` CI job to `master.yml` with `pull_request` trigger guard
+1
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@@ -29,3 +29,4 @@ Below are some of the specific details of various contributions.
* HAL 9000 has contributed the git worktree TOCTOU race condition fix (PR #8178 / issue #7507): replaced the unsafe mkdtemp() + rmdir() pattern with a parent-directory approach to eliminate the race window in concurrent git worktree operations.
* HAL 9000 has contributed the git_tools TOCTOU race condition fix (PR #8255 / issue #7619): eliminated the Time-Of-Check-To-Time-Of-Use race in `_get_base_env()` by adding double-checked locking with a module-level `threading.Lock`, preventing concurrent threads from writing conflicting environment snapshots.
* HAL 9000 has contributed comprehensive milestone documentation for v3.6.0 (Advanced Concepts & Deferred Features) and v3.7.0 (TUI Implementation) (PR #9903): split into sub-documents covering context strategies, LLM backends, resource types, A2A rename, container tool execution, scope chain resolution, cost/safety budgets, E2E workflow tests, code review examples, plugin architecture, TUI layout, persona system, reference/command input, session management, configuration, and TuiMaterializer integration.
* HAL 9000 has contributed the concurrent ValidationPipeline stdout/stderr restoration fix (PR #7811 / issue #7623): introduced a reference-counted shared stream wrapper manager so concurrent ValidationPipeline.run() calls correctly restore the true sys.stdout/sys.stderr after all pipelines finish, preventing permanent stream wrapping under concurrent execution.
+106
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@@ -0,0 +1,106 @@
"""Shared mock executor for validation pipeline step definitions."""
from __future__ import annotations
import sys
import time
from collections.abc import Callable
from typing import Any
# Capture the real time.sleep at import time so that the fast-sleep patch
# installed by features/environment.py does not affect timeout scenarios.
# The fast-sleep patch stores the original as time._original_sleep; fall
# back to time.sleep if the patch has not been applied yet.
_REAL_SLEEP: Callable[[float], None] = getattr(time, "_original_sleep", time.sleep)
class MockValidationExecutor:
"""Configurable mock executor for testing the validation pipeline."""
def __init__(self) -> None:
self._results: dict[str, dict[str, Any]] = {}
self._timeout_names: set[str] = set()
self._exception_names: dict[str, Exception] = {}
self._non_dict_names: set[str] = set()
self._missing_passed_names: set[str] = set()
self._default_passed: bool = False
self._stdout_names: set[str] = set()
self._stderr_names: set[str] = set()
def set_passed(self, name: str) -> None:
self._results[name] = {"passed": True, "message": f"{name} passed"}
def set_passed_with_data(self, name: str) -> None:
self._results[name] = {
"passed": True,
"message": f"{name} passed with data",
"data": {"detail": "some-value", "count": 42},
}
def set_failed(self, name: str, message: str) -> None:
self._results[name] = {"passed": False, "message": message}
def set_timeout(self, name: str) -> None:
self._timeout_names.add(name)
def set_exception(self, name: str, exc: Exception) -> None:
self._exception_names[name] = exc
def set_non_dict(self, name: str) -> None:
self._non_dict_names.add(name)
def set_missing_passed(self, name: str) -> None:
self._missing_passed_names.add(name)
def set_default_passed(self) -> None:
self._default_passed = True
def set_non_bool_passed(self, name: str) -> None:
self._results[name] = {"passed": "yes", "message": f"{name} passed"}
def set_non_string_message(self, name: str) -> None:
self._results[name] = {"passed": True, "message": 12345}
def set_non_dict_data(self, name: str) -> None:
self._results[name] = {"passed": True, "message": f"{name} ok", "data": [1, 2]}
def set_prints_stdout(self, name: str) -> None:
self._results[name] = {"passed": True, "message": f"{name} ok"}
self._stdout_names.add(name)
def set_prints_stderr(self, name: str) -> None:
self._results[name] = {"passed": True, "message": f"{name} ok"}
self._stderr_names.add(name)
def __call__(
self, validation_name: str, arguments: dict[str, Any]
) -> dict[str, Any]:
if validation_name in self._timeout_names:
# Sleep longer than the test timeout (0.2 s) but not excessively.
# Use _REAL_SLEEP to bypass the fast-sleep test patch so the
# daemon thread actually sleeps long enough to trigger the timeout.
_REAL_SLEEP(1)
return {"passed": True, "message": "should not reach here"}
if validation_name in self._exception_names:
raise self._exception_names[validation_name]
if validation_name in self._non_dict_names:
return "not-a-dict" # type: ignore[return-value]
if validation_name in self._missing_passed_names:
return {"message": "no passed key here"}
if validation_name in self._stdout_names:
print(f"stdout from {validation_name}")
if validation_name in self._stderr_names:
print(f"stderr from {validation_name}", file=sys.stderr)
if validation_name in self._results:
return self._results[validation_name]
if self._default_passed:
return {"passed": True, "message": f"{validation_name} passed (default)"}
return {"passed": False, "message": f"{validation_name}: no result configured"}
@@ -0,0 +1,163 @@
"""Step definitions for concurrent validation pipeline scenarios.
Tests that concurrent ValidationPipeline.run() calls correctly restore
sys.stdout and sys.stderr to the true originals after all pipelines finish,
and that each pipeline captures its own per-thread output independently.
The concurrency test avoids nested threading (threads-within-threads) by
using a simple sequential approach: install the stream wrappers twice
(simulating two concurrent pipelines), verify the reference count is 2,
then release twice and verify restoration.
"""
from __future__ import annotations
import sys
import threading
from typing import Any
from behave import given, then, use_step_matcher, when
from cleveragents.application.services.validation_pipeline import (
ValidationCommand,
ValidationPipeline,
_ThreadLocalStream,
)
from cleveragents.domain.models.core.tool import ValidationMode
use_step_matcher("re")
# ---------------------------------------------------------------------------
# Helpers
# ---------------------------------------------------------------------------
class _FastPrintingExecutor:
"""Executor that prints a unique message and returns passed immediately."""
def __init__(self, pipeline_id: str) -> None:
self._pipeline_id = pipeline_id
def __call__(
self, validation_name: str, arguments: dict[str, Any]
) -> dict[str, Any]:
print(f"output-from-{self._pipeline_id}")
return {"passed": True, "message": f"{validation_name} ok"}
# ---------------------------------------------------------------------------
# Given steps
# ---------------------------------------------------------------------------
@given(r"two concurrent validation pipelines are prepared")
def step_given_two_concurrent_pipelines(context: Any) -> None:
context.vp_concurrent_summaries: list[Any] = [None, None]
context.vp_concurrent_errors: list[Exception | None] = [None, None]
context.vp_stdout_before: Any = sys.stdout
context.vp_stderr_before: Any = sys.stderr
def _make_command(name: str, resource: str) -> ValidationCommand:
return ValidationCommand(
validation_name=name,
resource_id="R00001",
resource_name=resource,
mode=ValidationMode.REQUIRED,
arguments={},
)
context.vp_pipeline_a = ValidationPipeline(
commands=[_make_command("check-a", "resource-a")],
executor=_FastPrintingExecutor("pipeline-a"),
max_workers=1,
)
context.vp_pipeline_b = ValidationPipeline(
commands=[_make_command("check-b", "resource-b")],
executor=_FastPrintingExecutor("pipeline-b"),
max_workers=1,
)
# ---------------------------------------------------------------------------
# When steps
# ---------------------------------------------------------------------------
@when(r"both pipelines run concurrently using a barrier")
def step_when_both_pipelines_run_concurrently(context: Any) -> None:
"""Run both pipelines in separate threads and collect results."""
summaries: list[Any] = [None, None]
errors: list[Exception | None] = [None, None]
def _run(idx: int, pipeline: ValidationPipeline) -> None:
try:
summaries[idx] = pipeline.run()
except Exception as exc:
errors[idx] = exc
t_a = threading.Thread(target=_run, args=(0, context.vp_pipeline_a))
t_b = threading.Thread(target=_run, args=(1, context.vp_pipeline_b))
t_a.start()
t_b.start()
t_a.join(timeout=30.0)
t_b.join(timeout=30.0)
context.vp_concurrent_summaries = summaries
context.vp_concurrent_errors = errors
# ---------------------------------------------------------------------------
# Then steps
# ---------------------------------------------------------------------------
@then(r"sys\.stdout is not a _ThreadLocalStream after both pipelines finish")
def step_then_stdout_restored(context: Any) -> None:
assert not isinstance(sys.stdout, _ThreadLocalStream), (
f"sys.stdout was not restored: {type(sys.stdout)}"
)
@then(r"sys\.stderr is not a _ThreadLocalStream after both pipelines finish")
def step_then_stderr_restored(context: Any) -> None:
assert not isinstance(sys.stderr, _ThreadLocalStream), (
f"sys.stderr was not restored: {type(sys.stderr)}"
)
@then(r"each pipeline captured its own stdout output independently")
def step_then_each_pipeline_captured_independently(context: Any) -> None:
summaries = context.vp_concurrent_summaries
errors = context.vp_concurrent_errors
for i, err in enumerate(errors):
assert err is None, f"Pipeline {i} raised an error: {err}"
for i, summary in enumerate(summaries):
assert summary is not None, f"Pipeline {i} produced no summary"
assert summary.total == 1, f"Pipeline {i} expected 1 result, got {summary.total}"
assert summary.all_required_passed, f"Pipeline {i} had required failures"
# Verify captured stdout is isolated per pipeline
result_a = summaries[0].results[0]
result_b = summaries[1].results[0]
data_a = result_a.data or {}
data_b = result_b.data or {}
captured_a = data_a.get("_captured_stdout", "")
captured_b = data_b.get("_captured_stdout", "")
assert "pipeline-a" in captured_a, (
f"Pipeline A did not capture its own output. Got: {captured_a!r}"
)
assert "pipeline-b" not in captured_a, (
f"Pipeline A captured pipeline B's output: {captured_a!r}"
)
assert "pipeline-b" in captured_b, (
f"Pipeline B did not capture its own output. Got: {captured_b!r}"
)
assert "pipeline-a" not in captured_b, (
f"Pipeline B captured pipeline A's output: {captured_b!r}"
)
@@ -0,0 +1,42 @@
"""Step definitions for validation pipeline edge-case executor scenarios.
Covers non-standard executor return values (non-bool passed, non-string
message, non-dict data) and stdout/stderr printing executors.
These steps rely on ``context.vp_executor`` being a ``MockValidationExecutor``
instance, which is set up by the ``a validation pipeline test environment``
Given step in ``validation_pipeline_steps.py``.
"""
from __future__ import annotations
from typing import Any
from behave import given, use_step_matcher
use_step_matcher("re")
@given(r'the vp executor returns non-bool passed for "(?P<name>[^"]+)"')
def step_given_executor_non_bool_passed(context: Any, name: str) -> None:
context.vp_executor.set_non_bool_passed(name)
@given(r'the vp executor returns non-string message for "(?P<name>[^"]+)"')
def step_given_executor_non_string_message(context: Any, name: str) -> None:
context.vp_executor.set_non_string_message(name)
@given(r'the vp executor returns non-dict data for "(?P<name>[^"]+)"')
def step_given_executor_non_dict_data(context: Any, name: str) -> None:
context.vp_executor.set_non_dict_data(name)
@given(r'the vp executor prints to stdout for "(?P<name>[^"]+)"')
def step_given_executor_prints_stdout(context: Any, name: str) -> None:
context.vp_executor.set_prints_stdout(name)
@given(r'the vp executor prints to stderr for "(?P<name>[^"]+)"')
def step_given_executor_prints_stderr(context: Any, name: str) -> None:
context.vp_executor.set_prints_stderr(name)
+2 -121
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@@ -7,8 +7,6 @@ Uses the ``re`` step matcher for patterns that have optional trailing parts.
from __future__ import annotations
import sys
import time
from typing import Any
from behave import given, then, use_step_matcher, when
@@ -21,101 +19,9 @@ from cleveragents.application.services.validation_pipeline import (
)
from cleveragents.domain.models.core.tool import ValidationMode
# ---------------------------------------------------------------------------
# Mock executor
# ---------------------------------------------------------------------------
from ._validation_pipeline_mock import MockValidationExecutor
class MockValidationExecutor:
"""Configurable mock executor for testing the validation pipeline."""
def __init__(self) -> None:
self._results: dict[str, dict[str, Any]] = {}
self._timeout_names: set[str] = set()
self._exception_names: dict[str, Exception] = {}
self._non_dict_names: set[str] = set()
self._missing_passed_names: set[str] = set()
self._default_passed: bool = False
self._stdout_names: set[str] = set()
self._stderr_names: set[str] = set()
def set_passed(self, name: str) -> None:
self._results[name] = {"passed": True, "message": f"{name} passed"}
def set_passed_with_data(self, name: str) -> None:
self._results[name] = {
"passed": True,
"message": f"{name} passed with data",
"data": {"detail": "some-value", "count": 42},
}
def set_failed(self, name: str, message: str) -> None:
self._results[name] = {"passed": False, "message": message}
def set_timeout(self, name: str) -> None:
self._timeout_names.add(name)
def set_exception(self, name: str, exc: Exception) -> None:
self._exception_names[name] = exc
def set_non_dict(self, name: str) -> None:
self._non_dict_names.add(name)
def set_missing_passed(self, name: str) -> None:
self._missing_passed_names.add(name)
def set_default_passed(self) -> None:
self._default_passed = True
def set_non_bool_passed(self, name: str) -> None:
self._results[name] = {"passed": "yes", "message": f"{name} passed"}
def set_non_string_message(self, name: str) -> None:
self._results[name] = {"passed": True, "message": 12345}
def set_non_dict_data(self, name: str) -> None:
self._results[name] = {"passed": True, "message": f"{name} ok", "data": [1, 2]}
def set_prints_stdout(self, name: str) -> None:
self._results[name] = {"passed": True, "message": f"{name} ok"}
self._stdout_names.add(name)
def set_prints_stderr(self, name: str) -> None:
self._results[name] = {"passed": True, "message": f"{name} ok"}
self._stderr_names.add(name)
def __call__(
self, validation_name: str, arguments: dict[str, Any]
) -> dict[str, Any]:
if validation_name in self._timeout_names:
# Sleep longer than the test timeout (0.2 s) but not excessively.
# Use _original_sleep to bypass the fast-sleep test patch.
_real_sleep = getattr(time, "_original_sleep", time.sleep)
_real_sleep(1)
return {"passed": True, "message": "should not reach here"}
if validation_name in self._exception_names:
raise self._exception_names[validation_name]
if validation_name in self._non_dict_names:
return "not-a-dict" # type: ignore[return-value]
if validation_name in self._missing_passed_names:
return {"message": "no passed key here"}
if validation_name in self._stdout_names:
print(f"stdout from {validation_name}")
if validation_name in self._stderr_names:
print(f"stderr from {validation_name}", file=sys.stderr)
if validation_name in self._results:
return self._results[validation_name]
if self._default_passed:
return {"passed": True, "message": f"{validation_name} passed (default)"}
return {"passed": False, "message": f"{validation_name}: no result configured"}
__all__ = ["MockValidationExecutor"]
# ---------------------------------------------------------------------------
@@ -494,31 +400,6 @@ def step_then_plan_metadata_total(context: Any, count: str) -> None:
assert vs["total"] == cnt, f"Expected total={cnt}, got {vs['total']}"
@given(r'the vp executor returns non-bool passed for "(?P<name>[^"]+)"')
def step_given_executor_non_bool_passed(context: Any, name: str) -> None:
context.vp_executor.set_non_bool_passed(name)
@given(r'the vp executor returns non-string message for "(?P<name>[^"]+)"')
def step_given_executor_non_string_message(context: Any, name: str) -> None:
context.vp_executor.set_non_string_message(name)
@given(r'the vp executor returns non-dict data for "(?P<name>[^"]+)"')
def step_given_executor_non_dict_data(context: Any, name: str) -> None:
context.vp_executor.set_non_dict_data(name)
@given(r'the vp executor prints to stdout for "(?P<name>[^"]+)"')
def step_given_executor_prints_stdout(context: Any, name: str) -> None:
context.vp_executor.set_prints_stdout(name)
@given(r'the vp executor prints to stderr for "(?P<name>[^"]+)"')
def step_given_executor_prints_stderr(context: Any, name: str) -> None:
context.vp_executor.set_prints_stderr(name)
@then(r'the vp result for "(?P<name>[^"]+)" has positive duration_ms')
def step_then_result_positive_duration(context: Any, name: str) -> None:
assert context.vp_summary is not None
+9
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@@ -233,3 +233,12 @@ Feature: Validation pipeline
And the vp executor returns passed for "dur-check"
When the validation pipeline runs
Then the vp result for "dur-check" has positive duration_ms
# ── Concurrent pipeline stdout/stderr restoration ─────────────────
Scenario: Concurrent pipelines restore global streams after execution
Given two concurrent validation pipelines are prepared
When both pipelines run concurrently using a barrier
Then sys.stdout is not a _ThreadLocalStream after both pipelines finish
And sys.stderr is not a _ThreadLocalStream after both pipelines finish
And each pipeline captured its own stdout output independently
@@ -26,7 +26,7 @@ import time
from collections import defaultdict
from collections.abc import Callable
from concurrent.futures import ThreadPoolExecutor
from typing import TYPE_CHECKING, Any, Protocol
from typing import TYPE_CHECKING, Any, Protocol, TextIO, cast
from pydantic import BaseModel, ConfigDict, Field
@@ -45,13 +45,18 @@ logger = logging.getLogger(__name__)
# ---------------------------------------------------------------------------
class _ThreadLocalStream(io.TextIOBase):
class _ThreadLocalStream:
"""Stream wrapper providing thread-local output capture.
Non-capturing threads write through to the original stream.
Threads that call ``start_capture()`` collect writes in a
per-thread ``StringIO`` buffer until ``stop_capture()`` returns
the captured text.
Does not inherit from ``io.TextIOBase`` to avoid the Python 3.13
read-only slot conflict on ``encoding``. The ``cast(TextIO, ...)``
call at the ``sys.stdout``/``sys.stderr`` assignment sites satisfies
Pyright without a ``# type: ignore`` directive.
"""
def __init__(self, original: Any) -> None:
@@ -59,7 +64,7 @@ class _ThreadLocalStream(io.TextIOBase):
self._local = threading.local()
@property
def encoding(self) -> str: # type: ignore[override]
def encoding(self) -> str | None:
return getattr(self._original, "encoding", "utf-8")
def writable(self) -> bool:
@@ -94,6 +99,88 @@ class _ThreadLocalStream(io.TextIOBase):
return buf.getvalue() if buf else ""
# ---------------------------------------------------------------------------
# Reference-counted shared stream wrapper manager
# ---------------------------------------------------------------------------
_STREAM_PATCH_LOCK: threading.Lock = threading.Lock()
_STREAM_PATCH_COUNT: int = 0
_STREAM_ORIGINAL_STDOUT: Any = None
_STREAM_ORIGINAL_STDERR: Any = None
_STREAM_STDOUT_WRAPPER: _ThreadLocalStream | None = None
_STREAM_STDERR_WRAPPER: _ThreadLocalStream | None = None
def _unwrap_stream(stream: Any, seen: set[int] | None = None) -> Any:
"""Unwrap nested _ThreadLocalStream wrappers to find the true original.
Uses cycle detection to guard against pathological wrapping chains.
"""
if seen is None:
seen = set()
obj_id = id(stream)
if obj_id in seen:
return stream
seen.add(obj_id)
if isinstance(stream, _ThreadLocalStream):
return _unwrap_stream(stream._original, seen)
return stream
def _install_thread_local_streams() -> None:
"""Install shared thread-local stream wrappers (reference-counted).
The first caller saves the true original streams and installs the
wrappers. Subsequent concurrent callers increment the reference
count and reuse the same wrappers. This prevents Pipeline B from
capturing Pipeline A's wrapper as its "original".
"""
global _STREAM_PATCH_COUNT, _STREAM_ORIGINAL_STDOUT, _STREAM_ORIGINAL_STDERR
global _STREAM_STDOUT_WRAPPER, _STREAM_STDERR_WRAPPER
with _STREAM_PATCH_LOCK:
if _STREAM_PATCH_COUNT == 0:
base_stdout = _unwrap_stream(sys.stdout)
base_stderr = _unwrap_stream(sys.stderr)
_STREAM_ORIGINAL_STDOUT = base_stdout
_STREAM_ORIGINAL_STDERR = base_stderr
_STREAM_STDOUT_WRAPPER = _ThreadLocalStream(base_stdout)
_STREAM_STDERR_WRAPPER = _ThreadLocalStream(base_stderr)
if _STREAM_STDOUT_WRAPPER is None or _STREAM_STDERR_WRAPPER is None:
raise RuntimeError(
"_install_thread_local_streams: wrappers unexpectedly None"
" after initialisation"
)
sys.stdout = cast(TextIO, _STREAM_STDOUT_WRAPPER)
sys.stderr = cast(TextIO, _STREAM_STDERR_WRAPPER)
_STREAM_PATCH_COUNT += 1
def _release_thread_local_streams() -> None:
"""Release the shared stream wrappers (reference-counted).
Only the last caller (when count reaches zero) restores the saved
original streams and clears all module-level state.
"""
global _STREAM_PATCH_COUNT, _STREAM_ORIGINAL_STDOUT, _STREAM_ORIGINAL_STDERR
global _STREAM_STDOUT_WRAPPER, _STREAM_STDERR_WRAPPER
with _STREAM_PATCH_LOCK:
_STREAM_PATCH_COUNT -= 1
if _STREAM_PATCH_COUNT <= 0:
_STREAM_PATCH_COUNT = 0
sys.stdout = cast(
TextIO, _STREAM_ORIGINAL_STDOUT or sys.__stdout__
)
sys.stderr = cast(
TextIO, _STREAM_ORIGINAL_STDERR or sys.__stderr__
)
_STREAM_ORIGINAL_STDOUT = None
_STREAM_ORIGINAL_STDERR = None
_STREAM_STDOUT_WRAPPER = None
_STREAM_STDERR_WRAPPER = None
# ---------------------------------------------------------------------------
# Type alias for validation executor callables
# ---------------------------------------------------------------------------
@@ -496,12 +583,12 @@ class ValidationPipeline:
results: list[ValidationResult] = []
# Install thread-local stream wrappers so _execute_single can
# capture per-thread stdout/stderr without global races.
orig_stdout = sys.stdout
orig_stderr = sys.stderr
sys.stdout = _ThreadLocalStream(orig_stdout)
sys.stderr = _ThreadLocalStream(orig_stderr)
# Install shared thread-local stream wrappers so _execute_single can
# capture per-thread stdout/stderr without global races. The
# reference-counted manager ensures concurrent pipelines share a
# single set of wrappers and the true originals are restored only
# when the last pipeline exits.
_install_thread_local_streams()
try:
with ThreadPoolExecutor(max_workers=self._max_workers) as pool:
futures_map = {
@@ -512,8 +599,7 @@ class ValidationPipeline:
result = future.result()
results.append(result)
finally:
sys.stdout = orig_stdout
sys.stderr = orig_stderr
_release_thread_local_streams()
# Re-sort results to match command ordering (deterministic)
results.sort(