test(cli): add regression-guard tests for Container.resolve() crash

Add Behave and Robot Framework regression tests for bug #647, where
plan tree, plan explain, and plan correct CLI commands crashed with
AttributeError when resolving DecisionService from the DI container.

Tests use a real DI container with seeded decisions (not MagicMock)
to catch the exact class of bug that existing M3 tests missed.
Assertions verify successful execution and command-specific output
content. Includes Settings.reset() classmethod for robust singleton
cleanup in test teardown.

Review feedback addressed (hurui200320 Round 5):
- Fixed Behave step engine leak by capturing UoW in cleanup closure
- Removed dead @then decorator; renamed to private _assert_command_succeeded
- Strengthened plan correct assertions with revert/dry-run content checks
- Updated misleading get_container() comment to reflect singleton warming
- Added test-only warning to Settings.reset() docstring
- Added type annotations to 4 settings step functions
- Fixed CONTRIBUTORS.md alphabetical ordering and removed duplicate entry
- Replaced glob.glob with pathlib suffix iteration in Robot helper
- Fixed feature description line break for readability
- Removed redundant TYPE_CHECKING import for Decision

ISSUES CLOSED: #648
This commit is contained in:
2026-03-19 10:40:31 +00:00
parent 9e316b1a3e
commit 36c36bc0ee
9 changed files with 758 additions and 2 deletions
+4
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@@ -195,6 +195,10 @@
matching primitives. Includes Behave feature coverage for TUI persona/input
behavior, Robot TUI smoke validation, and an ASV fuzzy-reference benchmark.
(#695)
- Added TDD regression tests for bug #647 (`Container.resolve()` crash in
`plan tree`, `plan explain`, and `plan correct`) using real DI wiring in
Behave and Robot. Added regression-guard assertions, cache/singleton
cleanup hardening, and targeted issue-648 review follow-ups. (#648)
- Added four CLI-based integration test cases to M5 E2E verification suite
for v3.4.0 milestone acceptance criteria validation. Tests exercise
`project create`, `resource add git-checkout`, `project link-resource`, and
+2 -2
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@@ -1,9 +1,9 @@
# Contributors
* Jeffrey Phillips Freeman <jeffrey.freeman@syncleus.com>
* Aditya Chhabra <aditya.chhabra@cleverthis.com>
* Brent E. Edwards <brent.edwards@cleverthis.com>
* Rui Hu <rui.hu@cleverthis.com>
* Hamza Khyari <hamza.khyari@cleverthis.com>
* Jeffrey Phillips Freeman <jeffrey.freeman@syncleus.com>
* Luis Mendes <luis.p.mendes@gmail.com>
* Rui Hu <rui.hu@cleverthis.com>
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@@ -0,0 +1,28 @@
@tdd_bug @tdd_bug_647
Feature: Container.resolve() crash in plan tree/explain/correct commands
Regression guard for bug #647, where these CLI commands previously
crashed when resolving DecisionService from the DI container.
These tests use a REAL DI container (not MagicMock). Existing M3 tests missed
this class of bug because they mock get_container() with MagicMock, which
auto-creates any attribute.
NOTE: Bug #647 appears fixed; these scenarios now run as normal
regression checks for correct command behavior.
`plan correct` is intentionally exercised with `--dry-run` in this
real-container path so no live LLM execution is triggered.
Background:
Given cr647- a real DI container with seeded decisions
Scenario: plan tree command regression guard for container.resolve() crash
When cr647- I invoke the plan tree CLI command with a real container
Then cr647- plan tree output should include seeded decision id
Scenario: plan explain command regression guard for container.resolve() crash
When cr647- I invoke the plan explain CLI command with a real container
Then cr647- plan explain output should include seeded decision details
Scenario: plan correct command regression guard for container.resolve() crash
When cr647- I invoke the plan correct CLI command with a real container
Then cr647- plan correct output should reference seeded decision
+10
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@@ -167,3 +167,13 @@ Feature: Settings runtime helpers
Scenario: Provider normalization returns canonical names for unknown providers
When I normalize the provider name "Custom-LLM "
Then the normalized provider name should be "customllm"
Scenario: Settings reset clears singleton cache
Given no environment variables are set
And the environment variable "CLEVERAGENTS_ENV" is set to "production"
When I load singleton settings via get_settings
And I reset singleton settings
And the environment variable "CLEVERAGENTS_ENV" is set to "staging"
And I load singleton settings via get_settings
Then singleton settings instances should be different
And singleton environment should be "staging"
@@ -0,0 +1,291 @@
"""Step definitions for container_resolve_crash.feature.
Regression tests for bug #647 covering ``plan tree``, ``plan explain``,
and ``plan correct`` command paths through a real DI container.
All step text uses the ``cr647-`` prefix to avoid collisions with
other step files.
"""
from __future__ import annotations
import os
from contextlib import suppress
from behave import given, then, when
from behave.runner import Context
from typer.testing import CliRunner
from ulid import ULID
from cleveragents.infrastructure.database.engine_cache import MEMORY_ENGINES
cli_runner = CliRunner()
# ---------------------------------------------------------------------------
# GIVEN — Real container with seeded decisions
# ---------------------------------------------------------------------------
@given("cr647- a real DI container with seeded decisions")
def step_cr647_setup_container(context: Context) -> None:
"""Set up a real DI container with seeded decision tree.
Uses the real Container class (not MagicMock) with seeded decisions
so command output can validate DI-resolved service behavior.
"""
from cleveragents.application.container import get_container, reset_container
from cleveragents.application.services.decision_service import DecisionService
from cleveragents.application.services.plan_lifecycle_service import (
PlanLifecycleService,
)
from cleveragents.config.settings import Settings
from cleveragents.domain.models.core.decision import (
ContextSnapshot,
Decision,
DecisionType,
ResourceRef,
)
from cleveragents.infrastructure.database.unit_of_work import UnitOfWork
# Reuse the per-scenario DB URL set by features/environment.py to avoid
# orphaning temp-file bookkeeping and to keep cleanup semantics aligned.
database_url = os.environ.get("CLEVERAGENTS_DATABASE_URL", "sqlite:///:memory:")
# Reset container to ensure clean state
reset_container()
# Create UnitOfWork and initialize database
uow = UnitOfWork(database_url)
uow.init_database()
# Use real settings for integration-style behavior (no mocks).
settings = Settings(database_url=database_url, async_enabled=False)
# Create DecisionService and seed decisions
decision_svc = DecisionService(settings=settings, unit_of_work=uow)
lifecycle_svc = PlanLifecycleService(settings=settings, unit_of_work=uow)
# Seed a small tree (root + child) so tree/explain/correct assertions
# can validate command output beyond crash absence.
action_name = f"local/cr647-{ULID()!s}"
lifecycle_svc.create_action(
name=action_name,
description="Container.resolve regression action",
definition_of_done="Regression guard setup complete",
strategy_actor="openai/gpt-4",
execution_actor="openai/gpt-4",
)
plan = lifecycle_svc.use_action(action_name)
plan_id = plan.identity.plan_id
root: Decision = decision_svc.record_decision(
plan_id=plan_id,
decision_type=DecisionType.PROMPT_DEFINITION,
question="What should we build?",
chosen_option="A REST API",
alternatives_considered=["GraphQL API", "gRPC service"],
confidence_score=0.95,
rationale="REST fits requirements",
context_snapshot=ContextSnapshot(
hot_context_hash="sha256:root",
hot_context_ref="store://root",
relevant_resources=[
ResourceRef(resource_id=str(ULID()), path="src/main.py"),
],
actor_state_ref="checkpoint://root",
),
)
child: Decision = decision_svc.record_decision(
plan_id=plan_id,
decision_type=DecisionType.STRATEGY_CHOICE,
question="Which framework should we use?",
chosen_option="FastAPI",
parent_decision_id=root.decision_id,
alternatives_considered=["Flask", "Django"],
confidence_score=0.90,
rationale="FastAPI fits async service requirements",
context_snapshot=ContextSnapshot(
hot_context_hash="sha256:child",
hot_context_ref="store://child",
relevant_resources=[
ResourceRef(resource_id=str(ULID()), path="src/api.py"),
],
actor_state_ref="checkpoint://child",
),
)
# Store IDs for use in test steps.
# explain/correct only need one valid decision_id to trigger the resolve() path.
context.cr647_plan_id = plan_id
context.cr647_child_id = child.decision_id
# Pre-initialize the container singleton so CLI commands get DI wiring
# from the seeded database.
_ = get_container()
# Store cleanup handler — capture ``uow`` so its engine is explicitly
# disposed even when the URL is not in ``MEMORY_ENGINES`` (file-based).
def cleanup() -> None:
"""Reset in-memory DB/cache and process-global singletons."""
with suppress(Exception):
uow.engine.dispose()
with suppress(Exception):
engine = MEMORY_ENGINES.pop(database_url, None)
if engine is not None:
engine.dispose()
with suppress(Exception):
reset_container()
with suppress(Exception):
os.environ.pop("CLEVERAGENTS_DATABASE_URL", None)
# Keep reset last so any env-dependent lazy settings re-init cannot leak.
with suppress(Exception):
Settings.reset()
context.add_cleanup(cleanup)
# ---------------------------------------------------------------------------
# WHEN — Invoke CLI commands with real container
# ---------------------------------------------------------------------------
@when("cr647- I invoke the plan tree CLI command with a real container")
def step_cr647_invoke_plan_tree(context: Context) -> None:
"""Invoke plan tree command and capture regression output."""
from cleveragents.cli.main import app as cli_app
context.cr647_result = cli_runner.invoke(
cli_app,
["plan", "tree", context.cr647_plan_id, "--format", "json"],
# Capture exceptions so the step can assert exact failure class and output.
catch_exceptions=True,
)
@when("cr647- I invoke the plan explain CLI command with a real container")
def step_cr647_invoke_plan_explain(context: Context) -> None:
"""Invoke plan explain command and capture regression output."""
from cleveragents.cli.main import app as cli_app
context.cr647_result = cli_runner.invoke(
cli_app,
[
"plan",
"explain",
context.cr647_child_id,
"--show-context",
"--show-reasoning",
"--format",
"json",
],
# Capture exceptions so the step can assert exact failure class and output.
catch_exceptions=True,
)
@when("cr647- I invoke the plan correct CLI command with a real container")
def step_cr647_invoke_plan_correct(context: Context) -> None:
"""Invoke plan correct command and capture regression output."""
from cleveragents.cli.main import app as cli_app
context.cr647_result = cli_runner.invoke(
cli_app,
[
"plan",
"correct",
context.cr647_child_id,
"--mode",
"revert",
"--guidance",
"Use Django instead",
# NOTE: ``--plan`` is currently required by implementation when there
# is no active plan in CLI context, though spec examples show omitted.
"--plan",
context.cr647_plan_id,
"--dry-run",
"--format",
"json",
],
# Capture exceptions so the step can assert exact failure class and output.
catch_exceptions=True,
)
# ---------------------------------------------------------------------------
# THEN — Verify successful command execution
# ---------------------------------------------------------------------------
def _assert_command_succeeded(context: Context) -> None:
"""Assert common post-fix regression behavior for command execution."""
result = context.cr647_result
# Defense-in-depth: if failure happens, ensure it matches historical bug class.
if result.exit_code != 0 and result.exception is not None:
assert isinstance(result.exception, AttributeError), (
"Unexpected non-AttributeError exception. Got "
f"{type(result.exception).__name__}: {result.exception}"
)
assert result.exit_code == 0, (
f"Expected exit code 0, got {result.exit_code}. "
f"Output: {result.output}\nException: {result.exception}"
)
assert result.exception is None, (
f"Expected no exception, got {type(result.exception).__name__}: "
f"{result.exception}\nOutput: {result.output}"
)
# Guard against silent error traces while still returning 0.
output_lower = (result.output or "").lower()
assert "attributeerror" not in output_lower, (
f"Did not expect AttributeError text in output:\n{result.output}"
)
assert "has no attribute 'resolve'" not in output_lower, (
f"Did not expect resolve() attribute crash text in output:\n{result.output}"
)
@then("cr647- plan tree output should include seeded decision id")
def step_cr647_tree_output_contains_seeded_id(context: Context) -> None:
"""Verify tree command output contains seeded decision id."""
_assert_command_succeeded(context)
result = context.cr647_result
assert context.cr647_child_id in (result.output or ""), (
"Expected plan tree output to include seeded decision id. "
f"Output: {result.output}"
)
@then("cr647- plan explain output should include seeded decision details")
def step_cr647_explain_output_contains_seeded_details(context: Context) -> None:
"""Verify explain command output includes seeded id and content."""
_assert_command_succeeded(context)
result = context.cr647_result
assert context.cr647_child_id in (result.output or ""), (
f"Expected plan explain output to include decision id. Output: {result.output}"
)
assert "FastAPI" in (result.output or ""), (
"Expected plan explain output to include child decision content "
"(FastAPI). "
f"Output: {result.output}"
)
@then("cr647- plan correct output should reference seeded decision")
def step_cr647_correct_output_references_seeded_decision(context: Context) -> None:
"""Verify correct command output references seeded decision id and mode."""
_assert_command_succeeded(context)
result = context.cr647_result
output = result.output or ""
assert context.cr647_child_id in output, (
"Expected plan correct output to reference seeded decision id. "
f"Output: {output}"
)
# Validate command-specific content: dry-run mode and guidance text.
output_lower = output.lower()
assert "revert" in output_lower or "dry" in output_lower, (
"Expected plan correct output to reference revert mode or dry-run. "
f"Output: {output}"
)
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@@ -1,14 +1,18 @@
"""Step definitions for settings feature tests."""
from __future__ import annotations
import os
from pathlib import Path
from behave import given, then, when
from behave.runner import Context
from cleveragents.config.settings import Settings
@given('the environment variable "{key}" is set to "{value}"')
@when('the environment variable "{key}" is set to "{value}"')
def step_set_env_var(context, key, value):
"""Set an environment variable."""
os.environ[key] = value
@@ -605,3 +609,44 @@ def step_verify_environment_variable(context, env_var, expected):
context.env_vars_to_clean = []
if env_var not in context.env_vars_to_clean:
context.env_vars_to_clean.append(env_var)
@given("I load singleton settings via get_settings")
@when("I load singleton settings via get_settings")
def step_load_singleton_settings_via_get_settings(context: Context) -> None:
"""Load settings through the singleton accessor and store the instance."""
settings = Settings.get_settings()
if not hasattr(context, "singleton_instances"):
context.singleton_instances = []
context.singleton_instances.append(settings)
context.settings = settings
@when("I reset singleton settings")
def step_reset_singleton_settings(context: Context) -> None:
"""Reset the singleton cache for Settings.
Uses the ``reset()`` classmethod when available, falling back to
direct ``_instance = None`` assignment to guard against Pydantic
metaclass attribute-resolution edge cases during test runs.
"""
reset_fn = Settings.__dict__.get("reset")
if reset_fn is not None:
# Unwrap the classmethod descriptor and call.
reset_fn.__func__(Settings)
else:
Settings._instance = None # type: ignore[assignment]
@then("singleton settings instances should be different")
def step_singleton_instances_should_be_different(context: Context) -> None:
"""Assert reset causes a fresh singleton instance to be constructed."""
instances = getattr(context, "singleton_instances", [])
assert len(instances) >= 2, "Expected at least two singleton instances."
assert instances[0] is not instances[-1]
@then('singleton environment should be "{expected}"')
def step_singleton_environment_should_be(context: Context, expected: str) -> None:
"""Assert the latest singleton reflects the current environment value."""
assert context.settings.environment == expected
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@@ -0,0 +1,55 @@
*** Settings ***
Documentation Regression guard tests for bug #647 - Container.resolve() crash
... Three CLI commands (plan tree, plan explain, plan correct)
... are regression-guarded after the historical
... Container.resolve() crash was fixed.
...
... These tests use a REAL DI container (not MagicMock).
... Existing M3 tests missed this class of issue because
... they mock get_container() with MagicMock which auto-creates
... any attribute.
...
... NOTE: Bug #647 appears fixed; these tests now run as normal
... regression checks for correct command behavior.
...
... Tags: tdd_bug, tdd_bug_647
Resource ${CURDIR}/common.resource
Suite Setup Run Keywords Setup Test Environment AND Setup Database Isolation
Suite Teardown Cleanup Test Environment
*** Variables ***
${HELPER} ${CURDIR}/helper_container_resolve_crash.py
*** Test Cases ***
Plan Tree Regression Guard For Container.resolve()
[Documentation] Regression guard: plan tree should run without resolve() crash
[Tags] tdd_bug tdd_bug_647
${result}= Run Process ${PYTHON} ${HELPER} plan-tree-crash cwd=${WORKSPACE} timeout=30s
Log ${result.stdout}
Log ${result.stderr}
Run Keyword If ${result.rc} == 2 Fail Unexpected non-AttributeError failure: ${result.stderr}
# Helper exits 0 only when command behaves correctly.
Should Be Equal As Integers ${result.rc} 0
Should Contain ${result.stdout} plan-tree-crash-ok
Plan Explain Regression Guard For Container.resolve()
[Documentation] Regression guard: plan explain should run without resolve() crash
[Tags] tdd_bug tdd_bug_647
${result}= Run Process ${PYTHON} ${HELPER} plan-explain-crash cwd=${WORKSPACE} timeout=30s
Log ${result.stdout}
Log ${result.stderr}
Run Keyword If ${result.rc} == 2 Fail Unexpected non-AttributeError failure: ${result.stderr}
# Helper exits 0 only when command behaves correctly.
Should Be Equal As Integers ${result.rc} 0
Should Contain ${result.stdout} plan-explain-crash-ok
Plan Correct Regression Guard For Container.resolve()
[Documentation] Regression guard: plan correct should run without resolve() crash
[Tags] tdd_bug tdd_bug_647
${result}= Run Process ${PYTHON} ${HELPER} plan-correct-crash cwd=${WORKSPACE} timeout=30s
Log ${result.stdout}
Log ${result.stderr}
Run Keyword If ${result.rc} == 2 Fail Unexpected non-AttributeError failure: ${result.stderr}
# Helper exits 0 only when command behaves correctly.
Should Be Equal As Integers ${result.rc} 0
Should Contain ${result.stdout} plan-correct-crash-ok
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@@ -0,0 +1,310 @@
"""Robot Framework helper for bug #647 regression tests.
Runs `plan tree`, `plan explain`, and `plan correct` through real CLI
subprocesses with real DI/container wiring (no mocks).
"""
from __future__ import annotations
import os
import sys
import tempfile
from collections.abc import Callable
from contextlib import suppress
from dataclasses import dataclass
from pathlib import Path
from typing import NoReturn
_SRC = str(Path(__file__).resolve().parents[1] / "src")
if _SRC not in sys.path:
sys.path.insert(0, _SRC)
_ROBOT = str(Path(__file__).resolve().parent)
if _ROBOT not in sys.path:
sys.path.insert(0, _ROBOT)
from helper_e2e_common import run_cli # noqa: E402
from ulid import ULID # noqa: E402
from cleveragents.application.container import reset_container # noqa: E402
from cleveragents.application.services import decision_service as ds_mod # noqa: E402
from cleveragents.application.services.plan_lifecycle_service import ( # noqa: E402
PlanLifecycleService,
)
from cleveragents.config.settings import Settings # noqa: E402
from cleveragents.domain.models.core.decision import ( # noqa: E402
ContextSnapshot,
DecisionType,
ResourceRef,
)
from cleveragents.infrastructure.database.unit_of_work import UnitOfWork # noqa: E402
@dataclass(frozen=True)
class DecisionContext:
"""Data required to run and verify one CLI command."""
plan_id: str
decision_id: str
database_url: str
db_path: str
uow: UnitOfWork
def _fail(message: str) -> NoReturn:
"""Exit with expected regression-failure status."""
print(f"FAIL: {message}", file=sys.stderr)
sys.exit(1)
def _fail_unexpected(message: str) -> NoReturn:
"""Exit with unexpected-infrastructure-failure status."""
print(f"UNEXPECTED: {message}", file=sys.stderr)
sys.exit(2)
def _setup_decisions() -> DecisionContext:
"""Create a real sqlite database and seed a small decision tree."""
fd, db_path = tempfile.mkstemp(prefix="cr647_", suffix=".db")
os.close(fd)
database_url = f"sqlite:///{db_path}"
os.environ["CLEVERAGENTS_DATABASE_URL"] = database_url
reset_container()
uow = UnitOfWork(database_url)
uow.init_database()
settings = Settings(database_url=database_url, async_enabled=False)
decision_svc = ds_mod.DecisionService(
settings=settings,
unit_of_work=uow,
)
lifecycle_svc = PlanLifecycleService(settings=settings, unit_of_work=uow)
action_name = f"local/cr647-{ULID()!s}"
lifecycle_svc.create_action(
name=action_name,
description="Container.resolve regression action",
definition_of_done="Regression guard setup complete",
strategy_actor="openai/gpt-4",
execution_actor="openai/gpt-4",
)
plan = lifecycle_svc.use_action(action_name)
plan_id = plan.identity.plan_id
root = decision_svc.record_decision(
plan_id=plan_id,
decision_type=DecisionType.PROMPT_DEFINITION,
question="What should we build?",
chosen_option="A REST API",
alternatives_considered=["GraphQL API", "gRPC service"],
confidence_score=0.95,
rationale="REST fits requirements",
context_snapshot=ContextSnapshot(
hot_context_hash="sha256:root",
hot_context_ref="store://root",
relevant_resources=[
ResourceRef(resource_id=str(ULID()), path="src/main.py"),
],
actor_state_ref="checkpoint://root",
),
)
child = decision_svc.record_decision(
plan_id=plan_id,
decision_type=DecisionType.STRATEGY_CHOICE,
question="Which framework should we use?",
chosen_option="FastAPI",
parent_decision_id=root.decision_id,
alternatives_considered=["Flask", "Django"],
confidence_score=0.90,
rationale="FastAPI fits async service requirements",
context_snapshot=ContextSnapshot(
hot_context_hash="sha256:child",
hot_context_ref="store://child",
relevant_resources=[
ResourceRef(resource_id=str(ULID()), path="src/api.py"),
],
actor_state_ref="checkpoint://child",
),
)
return DecisionContext(
plan_id=plan_id,
decision_id=child.decision_id,
database_url=database_url,
db_path=db_path,
uow=uow,
)
def _cleanup(ctx: DecisionContext) -> None:
"""Best-effort cleanup that does not mask later teardown steps."""
with suppress(Exception):
ctx.uow.engine.dispose()
with suppress(Exception):
reset_container()
with suppress(Exception):
os.environ.pop("CLEVERAGENTS_DATABASE_URL", None)
for suffix in ("", "-journal", "-wal", "-shm"):
with suppress(OSError):
Path(ctx.db_path + suffix).unlink(missing_ok=True)
# Keep reset last to avoid stale singleton recreation during cleanup.
with suppress(Exception):
Settings.reset()
def _assert_tree_output(ctx: DecisionContext, output: str) -> None:
"""Require tree output to include the seeded decision id."""
if ctx.decision_id not in output:
_fail(
"Expected plan tree output to include seeded decision data.\n"
f"Output:\n{output}"
)
def _assert_explain_output(ctx: DecisionContext, output: str) -> None:
"""Require explain output to include seeded id and content."""
if ctx.decision_id not in output:
_fail(
"Expected plan explain output to include seeded decision id.\n"
f"Output:\n{output}"
)
if "FastAPI" not in output:
_fail(
"Expected plan explain output to include child chosen decision content "
"(FastAPI).\n"
f"Output:\n{output}"
)
def _assert_correct_output(ctx: DecisionContext, output: str) -> None:
"""Require correct output to reference the seeded decision id and mode."""
if ctx.decision_id not in output:
_fail(
"Expected plan correct output to include seeded decision id.\n"
f"Output:\n{output}"
)
# Validate command-specific content: dry-run mode or revert indication.
lowered = output.lower()
if "revert" not in lowered and "dry" not in lowered:
_fail(
"Expected plan correct output to reference revert mode or dry-run.\n"
f"Output:\n{output}"
)
def _run_and_verify(
*,
label: str,
cli_args_factory: Callable[[DecisionContext], list[str]],
positive_assertion: Callable[[DecisionContext, str], None],
) -> None:
"""Run one command end-to-end and enforce regression invariants."""
ctx = _setup_decisions()
try:
args = cli_args_factory(ctx)
result = run_cli(
*args,
workspace=str(Path.cwd()),
env_extra={"CLEVERAGENTS_DATABASE_URL": ctx.database_url},
timeout=25,
)
output = (result.stdout or "") + (result.stderr or "")
lowered = output.lower()
if result.returncode != 0:
if "attributeerror" in lowered and "has no attribute 'resolve'" in lowered:
_fail(
f"{label} unexpectedly reproduced resolve() crash.\n"
f"rc={result.returncode}\n{output}"
)
_fail_unexpected(
f"{label} failed with unexpected non-zero exit.\n"
f"rc={result.returncode}\n{output}"
)
if "attributeerror" in lowered or "has no attribute 'resolve'" in lowered:
_fail(
f"{label} printed resolve() crash text despite exit 0.\n"
f"Output:\n{output}"
)
positive_assertion(ctx, output)
print(f"{label}-ok")
finally:
_cleanup(ctx)
def plan_tree_crash() -> None:
"""Regression guard for ``plan tree`` DI-container path."""
_run_and_verify(
label="plan-tree-crash",
cli_args_factory=lambda ctx: ["plan", "tree", ctx.plan_id, "--format", "json"],
positive_assertion=_assert_tree_output,
)
def plan_explain_crash() -> None:
"""Regression guard for ``plan explain`` DI-container path."""
_run_and_verify(
label="plan-explain-crash",
cli_args_factory=lambda ctx: [
"plan",
"explain",
ctx.decision_id,
"--show-context",
"--show-reasoning",
"--format",
"json",
],
positive_assertion=_assert_explain_output,
)
def plan_correct_crash() -> None:
"""Regression guard for ``plan correct`` DI-container path."""
_run_and_verify(
label="plan-correct-crash",
cli_args_factory=lambda ctx: [
"plan",
"correct",
ctx.decision_id,
"--mode",
"revert",
"--guidance",
"Use Django instead",
# NOTE: ``--plan`` is required by implementation when there is no
# active-plan CLI context, though spec examples show it omitted.
# See spec-vs-implementation drift tracked separately.
"--plan",
ctx.plan_id,
"--dry-run",
"--format",
"json",
],
positive_assertion=_assert_correct_output,
)
_COMMANDS: dict[str, Callable[[], None]] = {
"plan-tree-crash": plan_tree_crash,
"plan-explain-crash": plan_explain_crash,
"plan-correct-crash": plan_correct_crash,
}
def main() -> int:
"""Dispatch helper command from Robot ``Run Process``."""
if len(sys.argv) < 2:
print(f"Usage: helper_container_resolve_crash.py <{'|'.join(_COMMANDS)}>")
return 1
handler = _COMMANDS.get(sys.argv[1])
if handler is None:
print(f"Unknown command: {sys.argv[1]}")
return 1
handler()
return 0
if __name__ == "__main__":
sys.exit(main())
+13
View File
@@ -630,6 +630,19 @@ class Settings(BaseSettings):
cls._instance = cls()
return cls._instance
@classmethod
def reset(cls: type[Settings]) -> None:
"""Reset the cached singleton instance.
Ensures the next ``get_settings()`` call constructs a fresh
instance instead of reusing stale process-global state.
.. warning:: **Test use only.** Do not call in production code
paths resetting the singleton mid-flight can cause
inconsistent configuration state.
"""
cls._instance = None
# ------------------------------------------------------------------
# Derived properties & helpers
# ------------------------------------------------------------------