Epic #8137: Invariant Enforcement & Validation Pipeline (M3) #11151

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freemo wants to merge 5 commits from feat/invariant-enforcement-validation-pipeline into master
19 changed files with 4482 additions and 3 deletions
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@@ -102,6 +102,8 @@ a critical data integrity issue in `ValidationAttachmentRepository.attach` where
fragile heuristic (`"/" in resource_id`). Arguments are now passed in the correct order,
ensuring data is stored with proper parameter values.
* **Invariant enforcement & validation pipeline (M3 Epic #8137)**: Added the invariant enforcer that detects violations during plan execution with clear, actionable error messages; the structural component validator that performs output validation via flexible substring and pattern matching (not exact character equality) so that tests remain resilient to cosmetic changes; and the phase transition gate that blocks Execute→Apply transitions when required validations fail or critical invariant constraints are violated. Validation results are persisted as `validation_response` decisions in the plan's decision tree for auditability.
- Hardened the TDD bug-fix quality gate for issue #629: PR parsing now
requires whole-word closing keywords (avoids false positives like
"prefixes #12"), TDD bug tag discovery now uses exact token matching
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@@ -22,7 +22,7 @@
# Details
* HAL 9000 has contributed spec clarifications for layer boundary DI exception, ULID scope, ACMS pipeline contracts, and TUI component interfaces (PR #10451): documented architectural invariants including the DI container exception, clarified ULID identifier scope distinguishing domain entities from internal implementation details, added per-stage protocol contracts for all 10 ACMS pipeline stages with storage tier definitions, budget enforcement protocol, and context assembly output format, and defined public interfaces with verifiable checks for 8 TUI components.
* Jeffrey Phillips Freeman has contributed the invariant enforcement and validation pipeline (Epic #8137, M3): `invariant_enforcer.py` implements runtime violation detection with actionable error messages; `structural_component_validator.py` performs flexible structural-component matching instead of brittle exact-character equality; and `phase_transition_gate.py` gates Execute→Apply transitions when required validations fail.
Below are some of the specific details of various contributions.
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Feature: Invariant Enforcer - detect violations during execution
As a plan execution system
I want to detect when invariants are violated during plan execution
So that corrective or blocking actions can be taken.
@invariant_enforcer @m3_epic_8137
Scenario: Output satisfying an invariant passes the check
Given an effective set of 1 active invariant: "All APIs must maintain backward compatibility"
And the execution output reads: "The API endpoint now supports both v1 and v2 request formats"
When I check invariants against the output
Then no invariant violation should be detected
@invariant_enforcer @m3_epic_8137
Scenario: Output violating a non-overridable invariant is blocked
Given an effective set of 1 active non_overridable invariant: "Never commit secret keys to version control"
And the execution output reads: "Writing API key abc123secret to config.py"
When I check invariants against the output
Then exactly 1 error-severity violation should be detected
@invariant_enforcer @m3_epic_8137
Scenario: Output violating a regular invariant produces a warning
Given an effective set of 1 active regular invariant: "Test coverage must exceed 90%"
And the execution output reads: "The new module has only 45% test coverage"
When I check invariants against the output
Then exactly 1 warning-severity violation should be detected
@enforce_strict @m3_epic_8137
Scenario: enforce_strict raises InvariantEnforcementError on blocking violations
Given an effective set of 1 active non_overridable invariant: "No secrets in source code"
And the execution output reads: "Hardcoded password admin123 in database.py"
When I run strict enforcement checking against the output
Then an InvariantEnforcementError should be raised with blocked_phase="apply"
@enforce_strict @m3_epic_8137
Scenario: enforce_strict returns empty list when all checks pass
Given an effective set of 2 active invariants both satisfied by the output
And the execution output reads: "All changes maintain backward-compatible API contracts"
When I run strict enforcement checking against the output
Then no exception should be raised and the returned violations list should be empty
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Feature: Phase Transition Gate - gate plan progression at apply
As a plan execution system
I want to validate that structural output validation passes before transitioning phases
So that only validated, invariant-respecting changes proceed to Apply.
@phase_gate @m3_epic_8137
Scenario: Action to Strategize always succeeds with no gate
Given a plan in the ACTION phase wanting to enter STRATEGIZE phase
And no active invariants
When I run the phase transition gate for this transition
Then the gate decision should be allowed=True
@phase_gate @m3_epic_8137
Scenario: Strat to Execute with clean invariant enforcement clears the gate
Given a plan in STRATEGIZE phase wanting to enter EXECUTE phase
And no active non_overridable invariant violations on record
When I run the phase transition gate for the Strat-to-Exec transition
Then the gate decision should be allowed=True
And the GateDecision show checked_invariants_count=0
@phase_gate @m3_epic_8137
Scenario: Execute to Apply gate passes when no issues detected
Given a plan in EXECUTE phase wanting to enter APPLY phase
And no non_overridable invariant audit violations on the changeset
When I run the execute-to-apply gate
Then the gate decision should be allowed=True
@phase_gate @m3_epic_8137
Scenario: Gate records a validation_response decision for audit trail
Given a plan in STRATEGIZE phase wanting to enter EXECUTE phase
And no active non_overridable invariant violations on record
When I run the phase transition gate for this transition
Then the gate decision should have a recorded decision_id
@@ -0,0 +1,143 @@
"""Step definitions for Invariant Enforcer - Epic #8137."""
from __future__ import annotations
from behave import given, then, when
from behave.runner import Context
from cleveragents.core.exceptions import CleverAgentsError
from cleveragents.domain.models.core.invariant import (
Invariant,
InvariantScope,
)
from cleveragents.application.services.invariant_enforcer import (
detect_violations,
enforce_strict,
)
@given('an effective set of 1 active invariant: "{text}"')
def step_one_invariant(context: Context, text: str) -> None:
context.invariants = [
Invariant(
id="01HQ8K5YVZ7P3GQJD6W4T9M0A0",
text=text,
scope=InvariantScope.GLOBAL,
source_name="test-project",
non_overridable=False,
),
]
@given('an effective set of 1 active non_overridable invariant: "{text}"')
def step_one_non_override(context: Context, text: str) -> None:
context.invariants = [
Invariant(
id="01HQ8K5YVZ7P3GQJD6W4T9M0A0",
text=text,
scope=InvariantScope.GLOBAL,
source_name="test-project",
non_overridable=True,
),
]
@given('an effective set of 1 active regular invariant: "{text}"')
def step_one_regular(context: Context, text: str) -> None:
context.invariants = [
Invariant(
id="01HQ8K5YVZ7P3GQJD6W4T9M0A0",
text=text,
scope=InvariantScope.PROJECT,
source_name="test-project",
non_overridable=False,
),
]
@given("an effective set of 2 active invariants both satisfied by the output")
def step_two_satisfied(context: Context) -> None:
context.invariants = [
Invariant(
id=str(i),
text="All APIs must maintain backward compatibility",
scope=InvariantScope.GLOBAL,
source_name="test-project",
non_overridable=False,
)
for i in range(2)
]
@given('the execution output reads: "{output}"')
def step_execution_output(context: Context, output: str) -> None:
context.execution_outputs = [output]
@when("I check invariants against the output")
def step_check_violations(context: Context) -> None:
outputs = getattr(context, "execution_outputs", [])
if not outputs:
outputs = [""]
context.violations = detect_violations(context.invariants, outputs)
@when("I run strict enforcement checking against the output")
def step_strict_enforce(context: Context) -> None:
outputs = getattr(context, "execution_outputs", [])
if not outputs:
outputs = [""]
context.enforce_error = None
try:
result = enforce_strict(
invariants=context.invariants,
outputs_to_check=outputs,
)
context.strict_result = result
except CleverAgentsError as exc:
context.enforce_error = exc
@then("no invariant violation should be detected")
def step_no_violation(context: Context) -> None:
assert len(context.violations) == 0, (
f"Got {len(context.violations)} violations instead of 0."
)
@then("exactly {count:d} error-severity violation should be detected")
@then("exactly {count:d} error-severity violations should be detected")
def step_n_error_violations(context: Context, count: int) -> None:
errors = [v for v in context.violations if v.severity == "error"]
assert len(errors) == count, (
f"Expected {count} error violations but got {len(errors)}."
)
@then("exactly {count:d} warning-severity violation should be detected")
@then("exactly {count:d} warning-severity violations should be detected")
def step_n_warning_violations(context: Context, count: int) -> None:
warnings = [v for v in context.violations if v.severity == "warning"]
assert len(warnings) == count, (
f"Expected {count} warning violations but got {len(warnings)}."
)
@then('an InvariantEnforcementError should be raised with blocked_phase="apply"')
def step_enforce_error(context: Context) -> None:
assert context.enforce_error is not None, "No error was raised."
from cleveragents.application.services.invariant_enforcer import (
InvariantEnforcementError,
)
assert isinstance(context.enforce_error, InvariantEnforcementError), (
f"Expected InvariantEnforcementError, got {type(context.enforce_error).__name__}"
)
@then("no exception should be raised and the returned violations list should be empty")
def step_clean_strict(context: Context) -> None:
assert context.enforce_error is None, f"Got error: {context.enforce_error}"
if hasattr(context, "strict_result"):
assert len(context.strict_result) == 0
@@ -0,0 +1,139 @@
"""Step definitions for Phase Transition Gate - Epic #8137."""
from __future__ import annotations
from behave import given, then, when
from behave.runner import Context
from cleveragents.application.services.decision_service import DecisionService
from cleveragents.application.services.phase_transition_gate import (
GateDecision,
PhaseTransitionGate,
)
from cleveragents.core.exceptions import DomainError
from cleveragents.domain.models.core.plan import PlanPhase
# ---------------------------------------------------------------------------
# Given steps
# ---------------------------------------------------------------------------
@given("a plan in the ACTION phase wanting to enter STRATEGIZE phase")
def step_action_strat(context: Context) -> None:
context.current_phase = PlanPhase.ACTION
context.target_phase = PlanPhase.STRATEGIZE
@given("a plan in STRATEGIZE phase wanting to enter EXECUTE phase")
def step_strat_exec(context: Context) -> None:
context.current_phase = PlanPhase.STRATEGIZE
context.target_phase = PlanPhase.EXECUTE
@given("a plan in EXECUTE phase wanting to enter APPLY phase")
def step_exec_apply(context: Context) -> None:
context.current_phase = PlanPhase.EXECUTE
context.target_phase = PlanPhase.APPLY
@given("no active invariants")
def step_no_invariants(context: Context) -> None:
context.invariants = []
@given("no active non_overridable invariant violations on record")
def step_clean_violations(context: Context) -> None:
"""Clean state with no violation issues."""
context.decision_service = DecisionService()
context.invariants = []
@given("no non_overridable invariant audit violations on the changeset")
def step_no_audit_issues(context: Context) -> None:
"""Empty invariants for clean gate check."""
context.invariants = []
# ---------------------------------------------------------------------------
# When steps
# ---------------------------------------------------------------------------
@when("I run the phase transition gate for this transition")
def step_run_gate(context: Context) -> None:
context.gate_error = None
context.decision_service = DecisionService()
try:
gate = PhaseTransitionGate(decision_service=context.decision_service)
result = gate.gate(
plan_id="01HQ8K5YVZ7P3GQJD6W4T9MXXX",
current_phase=context.current_phase,
target_phase=context.target_phase,
invariants=getattr(context, "invariants", []),
)
context.gate_decision = result
except DomainError as exc:
context.gate_error = exc
@when("I run the phase transition gate for the Strat-to-Exec transition")
def step_strat_exec_gate(context: Context) -> None:
context.gate_error = None
context.decision_service = DecisionService()
try:
gate = PhaseTransitionGate(decision_service=context.decision_service)
result = gate.gate(
plan_id="01HQ8K5YVZ7P3GQJD6W4T9MXXX",
current_phase=PlanPhase.STRATEGIZE,
target_phase=PlanPhase.EXECUTE,
invariants=getattr(context, "invariants", []),
)
context.gate_decision = result
except DomainError as exc:
context.gate_error = exc
@when("I run the execute-to-apply gate")
def step_exec_apply_gate(context: Context) -> None:
context.gate_error = None
context.decision_service = DecisionService()
try:
gate = PhaseTransitionGate(decision_service=context.decision_service)
result = gate.gate(
plan_id="01HQ8K5YVZ7P3GQJD6W4T9MXXX",
current_phase=PlanPhase.EXECUTE,
target_phase=PlanPhase.APPLY,
invariants=getattr(context, "invariants", []),
)
context.gate_decision = result
except DomainError as exc:
context.gate_error = exc
# ---------------------------------------------------------------------------
# Then steps
# ---------------------------------------------------------------------------
@then("the gate decision should be allowed=True")
def step_gate_allowed(context: Context) -> None:
assert context.gate_error is None, f"Gate raised error: {context.gate_error}"
dec: GateDecision = context.gate_decision
assert dec.allowed is True, f"Expected allowed but got {dec.allowed}."
@then("the GateDecision show checked_invariants_count={count:d}")
def step_show_check_count(context: Context, count: int) -> None:
assert context.gate_error is None, f"Gate raised error: {context.gate_error}"
dec: GateDecision = context.gate_decision
assert dec.checked_invariants_count == count, (
f"Expected {count} but got {dec.checked_invariants_count}"
)
@then("the gate decision should have a recorded decision_id")
def step_decision_recorded(context: Context) -> None:
assert context.gate_error is None, f"Gate raised error: {context.gate_error}"
dec: GateDecision = context.gate_decision
assert dec.decision_id is not None, "Expected a recorded decision_id but got None."
@@ -0,0 +1,146 @@
"""Step definitions for Structural Component Validator - Epic #8137."""
from __future__ import annotations
from behave import given, then, when
from behave.runner import Context
from cleveragents.application.services.structural_component_validator import (
ComponentCheckResult,
ExpectKind,
StructuralExpectation,
ValidationOutcome,
)
# ---------------------------------------------------------------------------
# Given steps
# ---------------------------------------------------------------------------
@given('a present structural expectation on keyword "{keyword}"')
def step_present(context: Context, keyword: str) -> None:
"""Append a presence expectation with case-insensitive matching."""
name = f"present-on-{keyword.replace(' ', '-')}"
if not hasattr(context, "expectations") or context.expectations is None:
context.expectations = []
context.expectations.append(
StructuralExpectation(
name=name,
kind=ExpectKind.PRESENT,
value=keyword,
case_sensitive=False,
weight=1.0,
),
)
@given('an absent structural expectation on keyword "{keyword}"')
def step_absent(context: Context, keyword: str) -> None:
"""Append an absence expectation with case-insensitive matching."""
name = f"absent-on-{keyword.replace(' ', '-')}"
if not hasattr(context, "expectations") or context.expectations is None:
context.expectations = []
context.expectations.append(
StructuralExpectation(
name=name,
kind=ExpectKind.ABSENT,
value=keyword,
case_sensitive=False,
weight=1.0,
),
)
@given('a pattern expectation on regex "{pattern}"')
def step_pattern(context: Context, pattern: str) -> None:
"""Create a pattern expectation with case-insensitive matching."""
context.expectations = [
StructuralExpectation(
name="pattern-match",
kind=ExpectKind.PATTERN,
value=pattern,
case_sensitive=False,
weight=1.0,
),
]
@given('a present expectation on field path "{field_path}"')
def step_nested(context: Context, field_path: str) -> None:
"""Create a nested-field-presence expectation."""
context.expectations = [
StructuralExpectation(
name=f"field-present-{field_path}",
kind=ExpectKind.FIELD_PRESENT,
value=field_path,
case_sensitive=False,
weight=1.0,
),
]
@given('the actual output reads: "{output_text}"')
def step_actual_output(context: Context, output_text: str) -> None:
"""Set the actual output string."""
context.actual_outputs = [output_text]
@given("the actual output reads JSON: {output_text}")
def step_actual_output_json(context: Context, output_text: str) -> None:
"""Set the actual output as raw JSON text."""
context.actual_outputs = [output_text]
# ---------------------------------------------------------------------------
# When steps
# ---------------------------------------------------------------------------
@when("I validate the outputs against the expectations")
def step_validate(context: Context) -> None:
"""Validate structural expectations against outputs."""
from cleveragents.application.services.structural_component_validator import (
validate_structural_components,
)
outputs = getattr(context, "actual_outputs", [""])
context.outcome = validate_structural_components(
expectations=context.expectations,
actual_outputs=outputs,
)
# ---------------------------------------------------------------------------
# Then steps
# ---------------------------------------------------------------------------
@then("the ValidationOutcome should have passed={value}")
def step_validate_passed(context: Context, value: str) -> None:
"""Assert overall pass/fail."""
outcome: ValidationOutcome = context.outcome
expected = value.lower() == "true"
assert outcome.passed is expected, (
f"Expected {expected} but got {outcome.passed}. "
f"Failed: {outcome.failed_count}, Partial: {outcome.partial_count}"
)
@then("total_checks should equal {count:d}")
def step_check_total(context: Context, count: int) -> None:
"""Assert total component check count."""
outcome: ValidationOutcome = context.outcome
assert outcome.total_checks == count, (
f"Expected {count} checks but got {outcome.total_checks}"
)
@then("all checks should PASS")
def step_all_pass(context: Context) -> None:
"""Assert every individual component passed."""
outcome: ValidationOutcome = context.outcome
for check in outcome.results:
assert check.result == ComponentCheckResult.PASS, (
f"Component '{check.expectation.name}' not PASS."
)
@@ -0,0 +1,49 @@
Feature: Structural Component Validator - flexible output validation (not exact matching)
As a plan execution system
I want to validate outputs against structural components rather than exact strings
So that tests remain resilient to formatting changes and cosmetic modifications.
@structural_validator @m3_epic_8137
Scenario: Present expectation with plain substring match passes (case insensitive)
Given a present structural expectation on keyword "backward compatibility"
And the actual output reads: "The API update maintains backward COMPATIBILITY across all endpoints"
When I validate the outputs against the expectations
Then total_checks should equal 1
@structural_validator @m3_epic_8137
Scenario: Absent expectation passes when prohibited text is missing
Given an absent structural expectation on keyword "secret key"
And the actual output reads: "Configuration loaded from environment variables"
When I validate the outputs against the expectations
Then the ValidationOutcome should have passed=True
@structural_validator @m3_epic_8137
Scenario: Absent expectation fails when prohibited text is found
Given an absent structural expectation on keyword "password"
And the actual output reads: "Using password auth for database connection"
When I validate the outputs against the expectations
Then the ValidationOutcome should have passed=False
@structural_validator @m3_epic_8137
Scenario: Regex pattern matching works across whitespace variations
Given a pattern expectation on regex "status\\s*:\\s*(passed|ok)"
And the actual output reads: "Status : passed"
When I validate the outputs against the expectations
Then total_checks should equal 1
@structural_validator @m3_epic_8137
Scenario: Nested JSON field path validation finds existing fields
Given a present expectation on field path "data.status.passed"
And the actual output reads JSON: {"data": {"status": {"passed": true}}}
When I validate the outputs against the expectations
Then total_checks should equal 1
@structural_validator @m3_epic_8137
Scenario: Multiple structural expectations aggregate correctly
Given a present structural expectation on keyword "database"
And an absent structural expectation on keyword "password"
And the actual output reads: "Database initialized. Status is ok, no password used."
When I validate the outputs against the expectations
Then the ValidationOutcome should have passed=True
And total_checks should equal 2
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"""Helper for ``invariant_enforcement.robot`` — exercises the invariant enforcer."""
from __future__ import annotations
import sys
from pathlib import Path
# Ensure the project root is importable.
_ROOT = str(Path(__file__).resolve().parents[1])
if _ROOT not in sys.path:
sys.path.insert(0, _ROOT)
from cleveragents.application.services.invariant_enforcer import ( # noqa: E402
InvariantEnforcementError,
ViolationSeverity,
check_and_enforce,
detect_violations,
enforce_strict,
)
from cleveragents.domain.models.core.invariant import ( # noqa: E402
Invariant,
InvariantScope,
)
# ---------------------------------------------------------------------------
# Violation detection tests
# ---------------------------------------------------------------------------
def detect_violations_non_overridable_error() -> int:
"""Verify a non-overridable invariant triggers an error-severity violation."""
inv = Invariant(
id="01HQ8K5YVZ7P3GQJD6W4T9M0A0",
text="All APIs must maintain backward compatibility",
scope=InvariantScope.GLOBAL,
source_name="test-project",
non_overridable=True,
)
violations = detect_violations([inv], ["some unrelated output"])
errors = [v for v in violations if v.severity == "error"]
if len(errors) != 1:
print(f"FAIL: expected 1 error violation, got {len(errors)}", file=sys.stderr)
return 1
print("violation-non-overridable-ok")
return 0
def detect_violations_regular_warning() -> int:
"""Verify a regular (non-overridable) invariant triggers a warning."""
inv = Invariant(
id="01HQ8K5YVZ7P3GQJD6W4T9M0A1",
text="Must include unit tests for all new functions",
scope=InvariantScope.PROJECT,
source_name="test-project",
non_overridable=False,
)
violations = detect_violations([inv], ["some unrelated output"])
warnings = [v for v in violations if v.severity == "warning"]
if len(warnings) != 1:
print(
f"FAIL: expected 1 warning violation, got {len(warnings)}", file=sys.stderr
)
return 1
print("violation-regular-warning-ok")
return 0
def detect_violations_no_failure() -> int:
"""Verify compliant output produces no violations."""
inv = Invariant(
id="01HQ8K5YVZ7P3GQJD6W4T9M0A2",
text="All APIs must maintain backward compatibility",
scope=InvariantScope.GLOBAL,
source_name="test-project",
non_overridable=True,
)
violations = detect_violations([inv], ["backwards compatible API implementation"])
if len(violations) != 0:
print(f"FAIL: expected 0 violations, got {len(violations)}", file=sys.stderr)
return 1
print("violation-no-failure-ok")
return 0
# ---------------------------------------------------------------------------
# check_and_enforce tests
# ---------------------------------------------------------------------------
def check_and_enforce_with_violations() -> int:
"""Verify check_and_enforce returns violations and actions."""
inv = Invariant(
id="01HQ8K5YVZ7P3GQJD6W4T9M0A3",
text="All APIs must maintain backward compatibility",
scope=InvariantScope.GLOBAL,
source_name="test-project",
non_overridable=True,
)
violations, actions = check_and_enforce([inv], ["unrelated output"])
if len(violations) == 0:
print("FAIL: expected violations from check_and_enforce", file=sys.stderr)
return 1
if len(actions) == 0:
print("FAIL: expected actions from check_and_enforce", file=sys.stderr)
return 1
error_actions = [a for a in actions if a.severity == ViolationSeverity.ERROR]
if len(error_actions) != 1:
print(
f"FAIL: expected 1 error action, got {len(error_actions)}",
file=sys.stderr,
)
return 1
print("check_and_enforce-with-violations-ok")
return 0
def check_and_enforce_clean() -> int:
"""Verify check_and_enforce returns empty when all pass."""
inv = Invariant(
id="01HQ8K5YVZ7P3GQJD6W4T9M0A4",
text="All APIs must maintain backward compatibility",
scope=InvariantScope.GLOBAL,
source_name="test-project",
non_overridable=True,
)
violations, actions = check_and_enforce(
[inv], ["backwards compatible API implementation"]
)
if len(violations) != 0:
print(f"FAIL: expected 0 violations, got {len(violations)}", file=sys.stderr)
return 1
if len(actions) != 0:
print(f"FAIL: expected 0 actions, got {len(actions)}", file=sys.stderr)
return 1
print("check_and_enforce-clean-ok")
return 0
# ---------------------------------------------------------------------------
# enforce_strict tests
# ---------------------------------------------------------------------------
def enforce_strict_raises_error() -> int:
"""Verify enforce_strict raises InvariantEnforcementError for errors."""
inv = Invariant(
id="01HQ8K5YVZ7P3GQJD6W4T9M0A5",
text="All APIs must maintain backward compatibility",
scope=InvariantScope.GLOBAL,
source_name="test-project",
non_overridable=True,
)
try:
enforce_strict([inv], ["unrelated output"])
print("FAIL: expected InvariantEnforcementError to be raised", file=sys.stderr)
return 1
except InvariantEnforcementError as exc:
if hasattr(exc, "blocked_phase") and exc.blocked_phase != "apply":
print(
f"FAIL: expected blocked_phase='apply', got '{exc.blocked_phase}'",
file=sys.stderr,
)
return 1
print("enforce_strict-raises-error-ok")
return 0
def enforce_strict_clean() -> int:
"""Verify enforce_strict returns empty list when all pass."""
inv = Invariant(
id="01HQ8K5YVZ7P3GQJD6W4T9M0A6",
text="All APIs must maintain backward compatibility",
scope=InvariantScope.GLOBAL,
source_name="test-project",
non_overridable=False,
)
result = enforce_strict([inv], ["backwards compatible API implementation"])
if len(result) != 0:
print(f"FAIL: expected empty list, got {len(result)}", file=sys.stderr)
return 1
print("enforce_strict-clean-ok")
return 0
# ---------------------------------------------------------------------------
# Dispatch
# ---------------------------------------------------------------------------
_COMMANDS: dict[str, object] = {
"detect_violations_non_overridable_error": detect_violations_non_overridable_error,
"detect_violations_regular_warning": detect_violations_regular_warning,
"detect_violations_no_failure": detect_violations_no_failure,
"check_and_enforce_with_violations": check_and_enforce_with_violations,
"check_and_enforce_clean": check_and_enforce_clean,
"enforce_strict_raises_error": enforce_strict_raises_error,
"enforce_strict_clean": enforce_strict_clean,
}
def main() -> int:
"""Dispatch to the sub-command named in sys.argv[1]."""
if len(sys.argv) < 2:
print(f"Usage: {sys.argv[0]} <command>", file=sys.stderr)
return 2
cmd = sys.argv[1]
handler = _COMMANDS.get(cmd)
if handler is None:
print(f"Unknown command: {cmd}", file=sys.stderr)
return 2
return handler()
if __name__ == "__main__":
sys.exit(main())
+315
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@@ -0,0 +1,315 @@
"""Helper for ``phase_transition_gating.robot`` — exercises the gate."""
from __future__ import annotations
import sys
from pathlib import Path
from unittest.mock import MagicMock
# Ensure the project root is importable.
_ROOT = str(Path(__file__).resolve().parents[1])
if _ROOT not in sys.path:
sys.path.insert(0, _ROOT)
from cleveragents.application.services.phase_transition_gate import ( # noqa: E402
GateDecision,
PhaseTransitionGate,
run_phase_gate,
)
from cleveragents.domain.models.core.invariant import ( # noqa: E402
Invariant,
InvariantScope,
)
from cleveragents.domain.models.core.plan import PlanPhase # noqa: E402
# ---------------------------------------------------------------------------
# Strategize → Execute gate — no violations allowed
# ---------------------------------------------------------------------------
def strategize_to_execute_clean() -> int:
"""Verify STRATEGIZE→EXECUTE allows transit when no invariants violate."""
mock_decision = MagicMock()
mock_decision.get_tree.return_value = []
gate = PhaseTransitionGate(decision_service=mock_decision)
decision = gate.gate(
plan_id="01HQ8K5YVZ7P3GQJD6W4T9M0A0",
current_phase=PlanPhase.STRATEGIZE,
target_phase=PlanPhase.EXECUTE,
invariants=[],
)
if not decision.allowed:
reason = decision.blocked_reason
print(
f"FAIL: expected allowed=True for STRATEGIZE→EXECUTE clean, got {reason}",
file=sys.stderr,
)
return 1
print("strategize-to-execute-clean-ok")
return 0
def strategize_to_execute_with_invariants_no_violations() -> int:
"""Verify STRATEGIZE→EXECUTE allows transit when invariants are satisfied."""
inv = Invariant(
id="inv-1",
text="All APIs must maintain backward compatibility",
scope=InvariantScope.GLOBAL,
source_name="test-project",
non_overridable=True,
)
mock_decision = MagicMock()
mock_decision.get_tree.return_value = []
gate = PhaseTransitionGate(decision_service=mock_decision)
decision = gate.gate(
plan_id="01HQ8K5YVZ7P3GQJD6W4T9M0A1",
current_phase=PlanPhase.STRATEGIZE,
target_phase=PlanPhase.EXECUTE,
invariants=[inv],
)
if not decision.allowed:
reason = decision.blocked_reason
print(
f"FAIL: expected allowed=True with satisfied invariants, got {reason}",
file=sys.stderr,
)
return 1
if decision.checked_invariants_count != 1:
count = decision.checked_invariants_count
print(
f"FAIL: expected checked_invariants_count=1, got {count}",
file=sys.stderr,
)
return 1
print("strategize-to-execute-with-invariants-ok")
return 0
# ---------------------------------------------------------------------------
# Actions gate — should always allow (terminal phases)
# ========================================================================= ==
def action_to_apply_allows_unconditionally() -> int:
"""Verify ACTION→APPLY transitions are allowed unconditionally."""
mock_decision = MagicMock()
gate = PhaseTransitionGate(decision_service=mock_decision)
decision = gate.gate(
plan_id="01HQ8K5YVZ7P3GQJD6W4T9M0A2",
current_phase=PlanPhase.ACTION,
target_phase=PlanPhase.APPLY,
invariants=[],
)
if not decision.allowed:
print(
"FAIL: expected ACTION→APPLY to be allowed unconditionally", file=sys.stderr
)
return 1
print("action-to-apply-unconditional-ok")
return 0
def apply_terminal_allows_unconditionally() -> int:
"""Verify APPLY phase transitions are allowed unconditionally."""
mock_decision = MagicMock()
gate = PhaseTransitionGate(decision_service=mock_decision)
decision = gate.gate(
plan_id="01HQ8K5YVZ7P3GQJD6W4T9M0A3",
current_phase=PlanPhase.APPLY,
target_phase=PlanPhase.STRATEGIZE,
invariants=[],
)
if not decision.allowed:
print(
"FAIL: expected APPLY→anything to be allowed unconditionally",
file=sys.stderr,
)
return 1
print("apply-terminal-unconditional-ok")
return 0
# ---------------------------------------------------------------------------
# Execute → Apply gate — validation check
# ========================================================================= ==
def execute_to_apply_validations_passed() -> int:
"""Verify EXECUTE→APPLY allows transit when all validations pass."""
mock_decision = MagicMock()
mock_decision.get_tree.return_value = []
gate = PhaseTransitionGate(decision_service=mock_decision)
decision = gate.gate(
plan_id="01HQ8K5YVZ7P3GQJD6W4T9M0A4",
current_phase=PlanPhase.EXECUTE,
target_phase=PlanPhase.APPLY,
invariants=[],
)
if not decision.allowed:
reason = decision.blocked_reason
print(
f"FAIL: expected allowed for EXECUTE→APPLY no validations, got {reason}",
file=sys.stderr,
)
return 1
print("execute-to-apply-validations-passed-ok")
return 0
def execute_to_apply_validation_failures_block() -> int:
"""Verify EXECUTE→APPLY blocks transit when validation failures exist."""
from cleveragents.domain.models.core.decision import DecisionType
mock_decision = MagicMock()
fake_decisions = [MagicMock(spec=lambda: None)]
fake_decisions[0].decision_type = DecisionType.VALIDATION_RESPONSE
fake_decisions[0].chosen_option = "false: validation failed"
mock_decision.get_tree.return_value = fake_decisions
gate = PhaseTransitionGate(decision_service=mock_decision)
decision = gate.gate(
plan_id="01HQ8K5YVZ7P3GQJD6W4T9M0A5",
current_phase=PlanPhase.EXECUTE,
target_phase=PlanPhase.APPLY,
invariants=[],
)
if decision.allowed:
print(
"FAIL: expected EXECUTE→APPLY to be blocked when validations fail",
file=sys.stderr,
)
return 1
print("execute-to-apply-validation-failures-blocked-ok")
return 0
# ---------------------------------------------------------------------------
# Gate Decision model — fields present
# ========================================================================= ==
def gate_decision_has_necessary_fields() -> int:
"""Verify the GateDecision dataclass has all expected attributes."""
decision = GateDecision(
allowed=True,
blocked_reason="",
phase_from=PlanPhase.STRATEGIZE,
phase_to=PlanPhase.EXECUTE,
plan_id="01HQ8K5YVZ7P3GQJD6W4T9M0A6",
)
required_attrs = ("allowed", "blocked_reason", "phase_from", "phase_to", "plan_id")
for attr in required_attrs:
if not hasattr(decision, attr):
print(f"FAIL: GateDecision missing attribute '{attr}'", file=sys.stderr)
return 1
print("gate-decision-has-fields-ok")
return 0
# ---------------------------------------------------------------------------
# run_phase_gate convenience function tests
# ========================================================================= ==
def run_phase_gate_strategize_to_execute() -> int:
"""Verify run_phase_gate helper delegates correctly for STRATEGIZE→EXECUTE."""
mock_decision = MagicMock()
decision = run_phase_gate(
decision_service=mock_decision,
plan_id="01HQ8K5YVZ7P3GQJD6W4T9M0A7",
current_phase=PlanPhase.STRATEGIZE,
target_phase=PlanPhase.EXECUTE,
invariants=[],
)
if not decision.allowed:
print(
"FAIL: expected run_phase_gate to allow STRATEGIZE→EXECUTE", file=sys.stderr
)
return 1
print("run-phase-gate-strat-to-exec-ok")
return 0
def run_phase_gate_execute_to_apply() -> int:
"""Verify run_phase_gate helper delegates correctly for EXECUTE→APPLY."""
mock_decision = MagicMock()
decision = run_phase_gate(
decision_service=mock_decision,
plan_id="01HQ8K5YVZ7P3GQJD6W4T9M0A8",
current_phase=PlanPhase.EXECUTE,
target_phase=PlanPhase.APPLY,
invariants=[],
)
if not decision.allowed:
print(
"FAIL: expected run_phase_gate to allow EXECUTE→APPLY (no failures)",
file=sys.stderr,
)
return 1
print("run-phase-gate-exec-to-apply-ok")
return 0
# ---------------------------------------------------------------------------
# Dispatch
# ========================================================================= ==
_strat_to_exec_with_inv = strategize_to_execute_with_invariants_no_violations
_exec_to_apply_block = execute_to_apply_validation_failures_block
_COMMANDS: dict[str, object] = {
"strategize_to_execute_clean": strategize_to_execute_clean,
"strategize_to_execute_with_invariants_no_violations": _strat_to_exec_with_inv,
"action_to_apply_allows_unconditionally": action_to_apply_allows_unconditionally,
"apply_terminal_allows_unconditionally": apply_terminal_allows_unconditionally,
"execute_to_apply_validations_passed": execute_to_apply_validations_passed,
"execute_to_apply_validation_failures_block": _exec_to_apply_block,
"gate_decision_has_necessary_fields": gate_decision_has_necessary_fields,
"run_phase_gate_strategize_to_execute": run_phase_gate_strategize_to_execute,
"run_phase_gate_execute_to_apply": run_phase_gate_execute_to_apply,
}
def main() -> int:
"""Dispatch to the sub-command named in sys.argv[1]."""
if len(sys.argv) < 2:
print(f"Usage: {sys.argv[0]} <command>", file=sys.stderr)
return 2
cmd = sys.argv[1]
handler = _COMMANDS.get(cmd)
if handler is None:
print(f"Unknown command: {cmd}", file=sys.stderr)
return 2
return handler()
if __name__ == "__main__":
sys.exit(main())
@@ -0,0 +1,433 @@
"""Helper for ``structural_component_validation.robot`` — exercises the validator."""
from __future__ import annotations
import json
import sys
from pathlib import Path
# Ensure the project root is importable.
_ROOT = str(Path(__file__).resolve().parents[1])
if _ROOT not in sys.path:
sys.path.insert(0, _ROOT)
from cleveragents.application.services.structural_component_validator import ( # noqa: E402
ComponentCheckResult,
ExpectKind,
StructuralExpectation,
validate_single,
validate_structural_components,
)
# ---------------------------------------------------------------------------
# Simple presence checks
# ---------------------------------------------------------------------------
def present_case_insensitive_match() -> int:
"""Verify case-insensitive substring presence check passes."""
expectation = StructuralExpectation(
name="has-bugfix",
kind=ExpectKind.PRESENT,
value="bug fix",
case_sensitive=False,
)
outcome = validate_structural_components(
[expectation], ["The bugfix module was updated."]
)
if not outcome.passed:
print(f"FAIL: expected passed=True, got {outcome.passed}", file=sys.stderr)
return 1
has_fail = any(r.result == ComponentCheckResult.FAIL for r in outcome.results)
if has_fail:
print("FAIL: unexpected FAIL result", file=sys.stderr)
return 1
print("present-case-insensitive-ok")
return 0
def present_case_sensitive_no_match() -> int:
"""Verify case-sensitive match fails when casing differs."""
expectation = StructuralExpectation(
name="has-exact-text",
kind=ExpectKind.PRESENT,
value="BugFix",
case_sensitive=True,
)
outcome = validate_structural_components(
[expectation], ["The bugfix module was updated."]
)
fails = [r for r in outcome.results if r.result == ComponentCheckResult.FAIL]
if len(fails) != 1:
print(f"FAIL: expected 1 FAIL, got {len(fails)}", file=sys.stderr)
return 1
print("present-case-sensitive-no-match-ok")
return 0
# ---------------------------------------------------------------------------
# Absence checks
# ---------------------------------------------------------------------------
def absent_prohibited_component() -> int:
"""Verify absence check fails when prohibited text is present."""
expectation = StructuralExpectation(
name="no-passwords",
kind=ExpectKind.ABSENT,
value="password=12345",
case_sensitive=False,
)
outcome = validate_structural_components(
[expectation], ["Config: password=12345 and host=localhost"]
)
fails = [r for r in outcome.results if r.result == ComponentCheckResult.FAIL]
if len(fails) != 1:
print(f"FAIL: expected 1 FAIL, got {len(fails)}", file=sys.stderr)
return 1
print("absent-prohibited-presents-fail-ok")
return 0
def absent_clean_output_passes() -> int:
"""Verify absence check passes when prohibited text is NOT present."""
expectation = StructuralExpectation(
name="no-passwords",
kind=ExpectKind.ABSENT,
value="password=12345",
case_sensitive=False,
)
outcome = validate_structural_components(
[expectation], ["Config: host=localhost; port=8080"]
)
if not outcome.passed:
print(
"FAIL: expected passed=True for absent check with clean output",
file=sys.stderr,
)
return 1
print("absent-clean-passthrough-ok")
return 0
# ---------------------------------------------------------------------------
# Regex pattern checks
# ---------------------------------------------------------------------------
_EMAIL_RE = r"\s*[a-zA-Z0-9_.+-]+@[a-zA-Z0-9-]+\.[a-zA-Z0-9-.]+\s*"
def pattern_regex_matches() -> int:
"""Verify regex pattern check passes when output matches."""
expectation = StructuralExpectation(
name="has-email",
kind=ExpectKind.PATTERN,
value=_EMAIL_RE,
case_sensitive=False,
)
outcome = validate_structural_components(
[expectation], ["Contact: user@example.com for support."]
)
if not outcome.passed:
print(f"FAIL: expected passed=True, got {outcome.passed}", file=sys.stderr)
return 1
print("pattern-regex-matches-ok")
return 0
def pattern_regex_no_match() -> int:
"""Verify regex pattern check fails when output does not match."""
expectation = StructuralExpectation(
name="has-email",
kind=ExpectKind.PATTERN,
value=_EMAIL_RE,
case_sensitive=False,
)
outcome = validate_structural_components(
[expectation], ["No email address provided."]
)
fails = [r for r in outcome.results if r.result == ComponentCheckResult.FAIL]
if len(fails) != 1:
print(f"FAIL: expected 1 FAIL, got {len(fails)}", file=sys.stderr)
return 1
print("pattern-regex-no-match-ok")
return 0
# ---------------------------------------------------------------------------
# Nested field path checks (FIELD_PRESENT) — with traversal fix
# ---------------------------------------------------------------------------
def nested_field_present_correctly_resolved() -> int:
"""Verify FIELD_PRESENT pass when all keys in the dotpath exist."""
output = json.dumps({"user": {"profile": {"name": "Alice"}}})
expectation = StructuralExpectation(
name="has-user-name",
kind=ExpectKind.FIELD_PRESENT,
value="user.profile.name",
case_sensitive=False,
)
outcome = validate_structural_components([expectation], [output])
if not outcome.passed:
got = outcome.passed
print(
f"FAIL: expected PASS for fully-resolved nested key path, got {got}",
file=sys.stderr,
)
return 1
print("nested-field-present-resolved-ok")
return 0
def nested_field_absent_when_path_truncated() -> int:
"""Verify ABSENT PASS when the nested path is truncated (key missing)."""
output = json.dumps({"user": {"name": "Alice"}})
expectation = StructuralExpectation(
name="no-profile-email",
kind=ExpectKind.ABSENT,
value="user.profile.email",
case_sensitive=False,
)
outcome = validate_structural_components([expectation], [output])
if not outcome.passed:
got = outcome.passed
print(
f"FAIL: expected PASS for ABSENT truncated at 'profile', got {got}",
file=sys.stderr,
)
return 1
has_fail = any(r.result == ComponentCheckResult.FAIL for r in outcome.results)
if has_fail:
print(
"FAIL: unexpected FAIL from ABSENT check on truncated path", file=sys.stderr
)
return 1
print("nested-field-absent-truncated-ok")
return 0
def nested_field_present_failes_when_path_truncated() -> int:
"""Verify FIELD_PRESENT FAIL when the nested path is truncated (key missing)."""
output = json.dumps({"user": {"name": "Alice"}})
expectation = StructuralExpectation(
name="has-profile-email",
kind=ExpectKind.FIELD_PRESENT,
value="user.profile.email",
case_sensitive=False,
)
outcome = validate_structural_components([expectation], [output])
fails = [r for r in outcome.results if r.result == ComponentCheckResult.FAIL]
if len(fails) != 1:
print(
f"FAIL: expected 1 FAIL when path is truncated, got {len(fails)} failures",
file=sys.stderr,
)
return 1
has_pass = any(r.result == ComponentCheckResult.PASS for r in outcome.results)
if has_pass:
print(
"FAIL: unexpected PASS from FIELD_PRESENT on truncated path (old bug)",
file=sys.stderr,
)
return 1
print("nested-field-present-truncated-ok")
return 0
# ---------------------------------------------------------------------------
# Multi-weight aggregation
# ---------------------------------------------------------------------------
def weighted_score_aggregates_correctly() -> int:
"""Verify aggregated score from multiple expectations reflects mixed results."""
present = StructuralExpectation(
name="has-text", kind=ExpectKind.PRESENT, value="text", weight=0.5
)
absent = StructuralExpectation(
name="no-secrets", kind=ExpectKind.ABSENT, value="password", weight=0.3
)
pattern = StructuralExpectation(
name="has-log-level",
kind=ExpectKind.PATTERN,
value=r"\s*(INFO|DEBUG|ERROR|WARN)\s*",
case_sensitive=False,
weight=0.2,
)
outcome = validate_structural_components(
[present, absent, pattern], ["LOG INFO: text processing"]
)
if not outcome.passed:
print(
f"FAIL: expected passed=True for all-passing suite, got {outcome.passed}",
file=sys.stderr,
)
return 1
# All weight should be achieved (score = 1.0)
if abs(outcome.weighted_score - 1.0) > 0.01:
print(
f"FAIL: expected weighted_score ~1.0, got {outcome.weighted_score}",
file=sys.stderr,
)
return 1
print("weighted-score-aggregation-ok")
return 0
# ---------------------------------------------------------------------------
# Single validation API
# ---------------------------------------------------------------------------
def validate_single_pass() -> int:
"""Verify validate_single returns PASS for a matching expectation."""
expectation = StructuralExpectation(
name="has-error",
kind=ExpectKind.PRESENT,
value="error",
case_sensitive=False,
)
result = validate_single(expectation, "Operation failed with error code 500.")
if result != ComponentCheckResult.PASS:
print(f"FAIL: expected PASS, got {result}", file=sys.stderr)
return 1
print("validate-single-pass-ok")
return 0
def validate_single_fail() -> int:
"""Verify validate_single returns FAIL for a non-matching expectation."""
expectation = StructuralExpectation(
name="no-fatal",
kind=ExpectKind.ABSENT,
value="fatal",
case_sensitive=False,
)
result = validate_single(expectation, "Fatal error: disk full")
if result != ComponentCheckResult.FAIL:
print(f"FAIL: expected FAIL, got {result}", file=sys.stderr)
return 1
print("validate-single-fail-ok")
return 0
# ---------------------------------------------------------------------------
# Wildcard matching
# ---------------------------------------------------------------------------
def wildcard_match_passes() -> int:
"""Verify fnmatch wildcard pattern matches correctly."""
expectation = StructuralExpectation(
name="has-config",
kind=ExpectKind.PRESENT,
value="*config*.json*",
case_sensitive=False,
)
outcome = validate_structural_components(
[expectation], ["Loading config-settings.json from disk."]
)
if not outcome.passed:
print(
f"FAIL: expected passed=True for wildcard match, got {outcome.passed}",
file=sys.stderr,
)
return 1
print("wildcard-match-pass-ok")
return 0
def wildcard_match_fails() -> int:
"""Verify fnmatch wildcard pattern fails when no match."""
expectation = StructuralExpectation(
name="has-yaml",
kind=ExpectKind.PRESENT,
value="*config*.yaml*",
case_sensitive=False,
)
outcome = validate_structural_components(
[expectation], ["Loading config.json from disk."]
)
fails = [r for r in outcome.results if r.result == ComponentCheckResult.FAIL]
if len(fails) != 1:
print(f"FAIL: expected 1 FAIL, got {len(fails)}", file=sys.stderr)
return 1
print("wildcard-match-fail-ok")
return 0
# ---------------------------------------------------------------------------
# Dispatch
# ---------------------------------------------------------------------------
_nested_truncated_fail = nested_field_present_failes_when_path_truncated
_COMMANDS: dict[str, object] = {
"present_case_insensitive_match": present_case_insensitive_match,
"present_case_sensitive_no_match": present_case_sensitive_no_match,
"absent_prohibited_component": absent_prohibited_component,
"absent_clean_output_passes": absent_clean_output_passes,
"pattern_regex_matches": pattern_regex_matches,
"pattern_regex_no_match": pattern_regex_no_match,
"nested_field_present_correctly_resolved": nested_field_present_correctly_resolved,
"nested_field_absent_when_path_truncated": nested_field_absent_when_path_truncated,
"nested_field_present_failes_when_path_truncated": _nested_truncated_fail,
"weighted_score_aggregates_correctly": weighted_score_aggregates_correctly,
"validate_single_pass": validate_single_pass,
"validate_single_fail": validate_single_fail,
"wildcard_match_passes": wildcard_match_passes,
"wildcard_match_fails": wildcard_match_fails,
}
def main() -> int:
"""Dispatch to the sub-command named in sys.argv[1]."""
if len(sys.argv) < 2:
print(f"Usage: {sys.argv[0]} <command>", file=sys.stderr)
return 2
cmd = sys.argv[1]
handler = _COMMANDS.get(cmd)
if handler is None:
print(f"Unknown command: {cmd}", file=sys.stderr)
return 2
return handler()
if __name__ == "__main__":
sys.exit(main())
+97
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@@ -0,0 +1,97 @@
*** Settings ***
Documentation Integration tests for the invariant enforcement and violation detection service.
...
... Exercises ``invariant_enforcer.py`` through a Python helper
... subprocess to verify violation detection, enforcement, and
... strict-mode behaviour end-to-end.
Resource ${CURDIR}/common.resource
Suite Setup Setup Test Environment With Database Isolation
Suite Teardown Cleanup Test Environment
*** Variables ***
${HELPER} ${CURDIR}/helper_invariant_enforcer.py
*** Test Cases ***
# ===========================================================================
# Violation detection — non-overridable (error severity)
# ===========================================================================
Non-Overridable Invariant Detects Violation As Error
[Documentation] Non-overridable invariants should trigger error-severity violations
[Tags] integration invariant_enforcer quality
${result}= Run Process ${PYTHON} ${HELPER} detect_violations_non_overridable_error
... cwd=${WORKSPACE}
Should Be Equal As Integers ${result.rc} 0 msg=${result.stderr}
Should Contain ${result.stdout} violation-non-overridable-ok
# ===========================================================================
# Violation detection — regular (warning severity)
# ===========================================================================
Regular Invariant Detects Violation As Warning
[Documentation] Regular invariants should trigger warning-severity violations
[Tags] integration invariant_enforcer quality
${result}= Run Process ${PYTHON} ${HELPER} detect_violations_regular_warning
... cwd=${WORKSPACE}
Should Be Equal As Integers ${result.rc} 0 msg=${result.stderr}
Should Contain ${result.stdout} violation-regular-warning-ok
# ===========================================================================
# Violation detection — compliant output
# ===========================================================================
Compliant Output Produces No Violations
[Documentation] Output that satisfies invariants must produce zero violations
[Tags] integration invariant_enforcer quality
${result}= Run Process ${PYTHON} ${HELPER} detect_violations_no_failure
... cwd=${WORKSPACE}
Should Be Equal As Integers ${result.rc} 0 msg=${result.stderr}
Should Contain ${result.stdout} violation-no-failure-ok
# ===========================================================================
# check_and_enforce — with violations
# ===========================================================================
check_and_enforce Returns Violations And Actions
[Documentation] verify that check_and_enforce produces both violations and enforcement actions
[Tags] integration invariant_enforcer quality
${result}= Run Process ${PYTHON} ${HELPER} check_and_enforce_with_violations
... cwd=${WORKSPACE}
Should Be Equal As Integers ${result.rc} 0 msg=${result.stderr}
Should Contain ${result.stdout} check_and_enforce-with-violations-ok
# ===========================================================================
# check_and_enforce — clean output
# ===========================================================================
check_and_enforce Returns Empty When All Pass
[Documentation] verify that check_and_enforce returns empty lists when invariants are satisfied
[Tags] integration invariant_enforcer quality
${result}= Run Process ${PYTHON} ${HELPER} check_and_enforce_clean
... cwd=${WORKSPACE}
Should Be Equal As Integers ${result.rc} 0 msg=${result.stderr}
Should Contain ${result.stdout} check_and_enforce-clean-ok
# ===========================================================================
# enforce_strict — blocks on error violations
# ===========================================================================
enforce_Strict Raises Error On Violations
[Documentation] verify that enforce_strict raises InvariantEnforcementError for error-severity violations
[Tags] integration invariant_enforcer quality
${result}= Run Process ${PYTHON} ${HELPER} enforce_strict_raises_error
... cwd=${WORKSPACE}
Should Be Equal As Integers ${result.rc} 0 msg=${result.stderr}
Should Contain ${result.stdout} enforce_strict-raises-error-ok
# ===========================================================================
# enforce_strict — passes cleanly
# ===========================================================================
Enforce_Strict Passes When All Invariants Satisfied
[Documentation] verify that enforce_strict returns an empty list when no violations exist
[Tags] integration invariant_enforcer quality
${result}= Run Process ${PYTHON} ${HELPER} enforce_strict_clean
... cwd=${WORKSPACE}
Should Be Equal As Integers ${result.rc} 0 msg=${result.stderr}
Should Contain ${result.stdout} enforce_strict-clean-ok
+106
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@@ -0,0 +1,106 @@
*** Settings ***
Documentation Integration tests for the phase transition gate service.
...
... Exercises ``phase_transition_gate.py`` through a Python helper
... subprocess to verify each phase boundary (STRATEGIZE→EXECUTE,
... EXECUTE→APPLY, ACTION→APPLY, APPLY terminal) and the overall
... convenience function.
Resource ${CURDIR}/common.resource
Suite Setup Setup Test Environment With Database Isolation
Suite Teardown Cleanup Test Environment
*** Variables ***
${HELPER} ${CURDIR}/helper_phase_transition_gate.py
*** Test Cases ***
# ===========================================================================
# Strategize → Execute gate
# ===========================================================================
STRATEGIZEToEXECUTEAllowsWithNoInvariants
[Documentation] STRATEGIZE→EXECUTE allows transit when no invariants exist
[Tags] integration phase_transition_gate quality
${result}= Run Process ${PYTHON} ${HELPER} strategize_to_execute_clean
... cwd=${WORKSPACE}
Should Be Equal As Integers ${result.rc} 0 msg=${result.stderr}
Should Contain ${result.stdout} strategize-to-execute-clean-ok
STRATEGIZEToEXECUTEAllowsWithSatisfiedInvariants
[Documentation] STRATEGIZE→EXECUTE allows transit when invariants are satisfied
[Tags] integration phase_transition_gate quality
${result}= Run Process ${PYTHON} ${HELPER} strategize_to_execute_with_invariants_no_violations
... cwd=${WORKSPACE}
Should Be Equal As Integers ${result.rc} 0 msg=${result.stderr}
Should Contain ${result.stdout} strategize-to-execute-with-invariants-ok
# ===========================================================================
# Execute → Apply gate — validation check
# ===========================================================================
EXECUTEToAPPLYAllowsWithNoValidationFailures
[Documentation] EXECUTE→APPLY allows transit when all validations pass
[Tags] integration phase_transition_gate quality
${result}= Run Process ${PYTHON} ${HELPER} execute_to_apply_validations_passed
... cwd=${WORKSPACE}
Should Be Equal As Integers ${result.rc} 0 msg=${result.stderr}
Should Contain ${result.stdout} execute-to-apply-validations-passed-ok
EXECUTEToAPPLYBlocksOnValidationFailures
[Documentation] EXECUTE→APPLEY blocks transit when validation results fail
[Tags] integration phase_transition_gate quality
${result}= Run Process ${PYTHON} ${HELPER} execute_to_apply_validation_failures_block
... cwd=${WORKSPACE}
Should Be Equal As Integers ${result.rc} 0 msg=${result.stderr}
Should Contain ${result.stdout} execute-to-apply-validation-failures-blocked-ok
# ===========================================================================
# Terminal phase transitions — always allowed
# ===========================================================================
ACTIONToAPPLYAllowsUnconditionally
[Documentation] ACTION→APPLY transitions are always allowed
[Tags] integration phase_transition_gate quality
${result}= Run Process ${PYTHON} ${HELPER} action_to_apply_allows_unconditionally
... cwd=${WORKSPACE}
Should Be Equal As Integers ${result.rc} 0 msg=${result.stderr}
Should Contain ${result.stdout} action-to-apply-unconditional-ok
APPLYTerminalAllowsUnconditionally
[Documentation] APPLY phase transitions are allowed regardless of target
[Tags] integration phase_transition_gate quality
${result}= Run Process ${PYTHON} ${HELPER} apply_terminal_allows_unconditionally
... cwd=${WORKSPACE}
Should Be Equal As Integers ${result.rc} 0 msg=${result.stderr}
Should Contain ${result.stdout} apply-terminal-unconditional-ok
# ===========================================================================
# GateDecision model
# ===========================================================================
GateDecisionHasAllRequiredFields
[Documentation] The GateDecision dataclass has all expected attributes
[Tags] integration phase_transition_gate quality
${result}= Run Process ${PYTHON} ${HELPER} gate_decision_has_necessary_fields
... cwd=${WORKSPACE}
Should Be Equal As Integers ${result.rc} 0 msg=${result.stderr}
Should Contain ${result.stdout} gate-decision-has-fields-ok
# ===========================================================================
# run_phase_gate convenience function
# ===========================================================================
RunPhaseGateStrategizeToExecuteDelegatesCorrectly
[Documentation] verify run_phase_gate helper delegates correctly for STRATEGIZE→EXECUTE
[Tags] integration phase_transition_gate quality
${result}= Run Process ${PYTHON} ${HELPER} run_phase_gate_strategize_to_execute
... cwd=${WORKSPACE}
Should Be Equal As Integers ${result.rc} 0 msg=${result.stderr}
Should Contain ${result.stdout} run-phase-gate-strat-to-exec-ok
RunPhaseGateExecuteToApplyDelegatesCorrectly
[Documentation] Verify run_phase_gate helper delegates correctly for EXECUTE→APPLY
[Tags] integration phase_transition_gate quality
${result}= Run Process ${PYTHON} ${HELPER} run_phase_gate_execute_to_apply
... cwd=${WORKSPACE}
Should Be Equal As Integers ${result.rc} 0 msg=${result.stderr}
Should Contain ${result.stdout} run-phase-gate-exec-to-apply-ok
+153
View File
@@ -0,0 +1,153 @@
*** Settings ***
Documentation Integration tests for the structural component validator service.
...
... Exercises ``structural_component_validator.py`` through a Python helper
... subprocess to verify presence/absence/pattern matching, nested field
... path resolution (including traversal-fix regression), and weighted scoring.
Resource ${CURDIR}/common.resource
Suite Setup Setup Test Environment With Database Isolation
Suite Teardown Cleanup Test Environment
*** Variables ***
${HELPER} ${CURDIR}/helper_structural_component_validator.py
*** Test Cases ***
# ===========================================================================
# Simple substring presence checks (case-insensitive)
# ===========================================================================
CaseInsensitivePresenceCheckPassesWhenSubstringPresent
[Documentation] Verify case-insensitive substring match passes
[Tags] integration structural_validator quality
${result}= Run Process ${PYTHON} ${HELPER} present_case_insensitive_match
... cwd=${WORKSPACE}
Should Be Equal As Integers ${result.rc} 0 msg=${result.stderr}
Should Contain ${result.stdout} present-case-insensitive-ok
CaseSensitivePresenceCheckFailsOnCasingMismatch
[Documentation] Verify case-sensitive check fails when casing does not match
[Tags] integration structural_validator quality
${result}= Run Process ${PYTHON} ${HELPER} present_case_sensitive_no_match
... cwd=${WORKSPACE}
Should Be Equal As Integers ${result.rc} 0 msg=${result.stderr}
Should Contain ${result.stdout} present-case-sensitive-no-match-ok
# ===========================================================================
# Presence checks — absence of prohibited components
# ===========================================================================
AbsenceCheckFailsWhenProhibitedComponentPresent
[Documentation] Verify ABSENT check fails when prohibited text is found
[Tags] integration structural_validator quality
${result}= Run Process ${PYTHON} ${HELPER} absent_prohibited_component
... cwd=${WORKSPACE}
Should Be Equal As Integers ${result.rc} 0 msg=${result.stderr}
Should Contain ${result.stdout} absent-prohibited-presents-fail-ok
AbsenceCheckPassesWhenProhibitedComponentAbsent
[Documentation] Verify ABSENT check passes when prohibited text is not present
[Tags] integration structural_validator quality
${result}= Run Process ${PYTHON} ${HELPER} absent_clean_output_passes
... cwd=${WORKSPACE}
Should Be Equal As Integers ${result.rc} 0 msg=${result.stderr}
Should Contain ${result.stdout} absent-clean-passthrough-ok
# ===========================================================================
# Regex pattern matching
# ===========================================================================
RegexPatternMatchesWhenPresentInOutput
[Documentation] Verify PATTERN check passes when regex matches output
[Tags] integration structural_validator quality
${result}= Run Process ${PYTHON} ${HELPER} pattern_regex_matches
... cwd=${WORKSPACE}
Should Be Equal As Integers ${result.rc} 0 msg=${result.stderr}
Should Contain ${result.stdout} pattern-regex-matches-ok
RegexPatternFailsWhenNotPresentInOutput
[Documentation] Verify PATTERN check fails when regex does not match output
[Tags] integration structural_validator quality
${result}= Run Process ${PYTHON} ${HELPER} pattern_regex_no_match
... cwd=${WORKSPACE}
Should Be Equal As Integers ${result.rc} 0 msg=${result.stderr}
Should Contain ${result.stdout} pattern-regex-no-match-ok
# ===========================================================================
# Nested field path resolution — traversal-fix regression checks
# ===========================================================================
NestedFieldPresentWhenAllKeysResolved
[Documentation] Verify FIELD_PRESENT passes when the full key path exists in JSON
[Tags] integration structural_validator quality
${result}= Run Process ${PYTHON} ${HELPER} nested_field_present_correctly_resolved
... cwd=${WORKSPACE}
Should Be Equal As Integers ${result.rc} 0 msg=${result.stderr}
Should Contain ${result.stdout} nested-field-present-resolved-ok
NestedFieldAbsentPassWhenPathTruncatedKeyMissing
[Documentation] Verify ABSENT passes when path is truncated (the field truly does not exist)
[Tags] integration structural_validator quality
${result}= Run Process ${PYTHON} ${HELPER} nested_field_absent_when_path_truncated
... cwd=${WORKSPACE}
Should Be Equal As Integers ${result.rc} 0 msg=${result.stderr}
Should Contain ${result.stdout} nested-field-absent-truncated-ok
NestedFieldPresentFailsWhenPathTruncatedKeyMissingNoFalsePositive
[Documentation] Regression: FIELD_PRESENT must FAIL when keys are missing — not return stale PASS
[Tags] integration structural_validator quality
${result}= Run Process ${PYTHON} ${HELPER} nested_field_present_failes_when_path_truncated
... cwd=${WORKSPACE}
Should Be Equal As Integers ${result.rc} 0 msg=${result.stderr}
Should Contain ${result.stdout} nested-field-present-truncated-ok
# ===========================================================================
# Weighted aggregation
# ===========================================================================
WeightedScoreAggregationForAllPassingExpectations
[Documentation] Verify weighted score is 1.0 when all expectations pass
[Tags] integration structural_validator quality
${result}= Run Process ${PYTHON} ${HELPER} weighted_score_aggregates_correctly
... cwd=${WORKSPACE}
Should Be Equal As Integers ${result.rc} 0 msg=${result.stderr}
Should Contain ${result.stdout} weighted-score-aggregation-ok
# ===========================================================================
# Single validation API
# ===========================================================================
ValidateSinglePassesOnMatch
[Documentation] Verify validate_single returns PASS for matching expectation
[Tags] integration structural_validator quality
${result}= Run Process ${PYTHON} ${HELPER} validate_single_pass
... cwd=${WORKSPACE}
Should Be Equal As Integers ${result.rc} 0 msg=${result.stderr}
Should Contain ${result.stdout} validate-single-pass-ok
ValidateSingleFailsOnMismatch
[Documentation] Verify validate_single returns FAIL for non-matching expectation
[Tags] integration structural_validator quality
${result}= Run Process ${PYTHON} ${HELPER} validate_single_fail
... cwd=${WORKSPACE}
Should Be Equal As Integers ${result.rc} 0 msg=${result.stderr}
Should Contain ${result.stdout} validate-single-fail-ok
# ===========================================================================
# Wildcard matching
# ===========================================================================
WildcardPatternMatchesWhenPresent
[Documentation] Verify wildcard (fnmatch) pattern matches correctly
[Tags] integration structural_validator quality
${result}= Run Process ${PYTHON} ${HELPER} wildcard_match_passes
... cwd=${WORKSPACE}
Should Be Equal As Integers ${result.rc} 0 msg=${result.stderr}
Should Contain ${result.stdout} wildcard-match-pass-ok
WildcardPatternFailsWhenNotPresent
[Documentation] Verify wildcard (fnmatch) pattern fails when output does not match
[Tags] integration structural_validator quality
${result}= Run Process ${PYTHON} ${HELPER} wildcard_match_fails
... cwd=${WORKSPACE}
Should Be Equal As Integers ${result.rc} 0 msg=${result.stderr}
Should Contain ${result.stdout} wildcard-match-fail-ok
@@ -0,0 +1,568 @@
"""Invariant Enforcer for CleverAgents M3.
Detects invariant violations during plan execution and triggers
correction or rejection with clear, actionable error messages.
The invariant enforcer operates at three levels:
1. **Phase detection** - At the start of each phase (Strategize, Execute),
checks that enforced invariants are respected by all decisions.
2. **Runtime monitoring** - During Execute, inspects tool outputs and
resource mutations against active invariants to discover violations.
3. **Post-execution audit** - After execution completes, verifies the
complete changeset against the effective invariant set before Apply.
Violations trigger either:
- **Correction** (non-critical / warning severity): The system produces a
``validation_response`` decision with corrective guidance and allows
the plan to continue.
- **Rejection** (critical / error severity): A ``InvariantEnforcementError``
is raised, blocking the phase transition.
Based on specification section on Invariant Enforcement, issue #8137 (M3 epic).
"""
from __future__ import annotations
import re
from dataclasses import dataclass, field
from enum import StrEnum
from typing import TYPE_CHECKING
import structlog
from cleveragents.core.exceptions import CleverAgentsError, DomainError
from cleveragents.domain.models.core.decision import DecisionType
from cleveragents.domain.models.core.invariant import (
Invariant,
InvariantViolation,
)
if TYPE_CHECKING:
from cleveragents.application.services.decision_service import DecisionService
logger = structlog.get_logger(__name__)
# ---------------------------------------------------------------------------
# Severity and response model
# ---------------------------------------------------------------------------
class ViolationSeverity(StrEnum):
"""Severity levels for invariant violations."""
ERROR = "error" # Blocks plan progression - must be corrected
WARNING = "warning" # Logs a warning but allows continuation
INFO = "info" # Informational only
@dataclass(frozen=True)
class ViolationAction:
"""The recommended action for an invariant violation."""
severity: ViolationSeverity
correction_type: str = field(default="none")
message: str = field(default="")
invariant_text: str = field(default="")
details: dict = field(default_factory=dict)
# ---------------------------------------------------------------------------
# Exception classes
# ---------------------------------------------------------------------------
class InvariantEnforcementError(CleverAgentsError):
"""Raised when an invariant violation blocks plan progression."""
def __init__(
self,
violations: list[InvariantViolation],
blocked_phase: str = "",
details: dict | None = None,
) -> None:
v_summaries = f"{len(violations)} violation(s): " + "; ".join(
f"'{v.violated_text}'" for v in violations
)
super().__init__(
f"Invariant enforcement failed: {v_summaries}",
details,
)
self.violations = violations
self.blocked_phase = blocked_phase
class InvariantEnforcementWarning(DomainError):
"""Raised for non-blocking invariant warnings."""
def __init__(self, violations: list[InvariantViolation]) -> None:
v_summaries = f"{len(violations)} warning(s): " + "; ".join(
f"'{v.violated_text}'" for v in violations
)
super().__init__(v_summaries)
self.violations = violations
# ---------------------------------------------------------------------------
# Violation detection engine
# ---------------------------------------------------------------------------
class InvariantCheckResult(StrEnum):
"""Results from checking one invariant against text."""
PASS = "pass"
PARTIAL_PASS = "partial_pass"
FAIL = "fail"
@dataclass(frozen=True)
class SingleInvariantCheck:
"""Result of checking one invariant against a string."""
invariant: Invariant
result: InvariantCheckResult
reason: str
def _build_violation_message(violation: InvariantViolation) -> str:
"""Build an actionable, human-readable message for a violation."""
parts = [
f"INVARIANT VIOLATION [{violation.severity}]:",
f' Invariant: "{violation.violated_text}"',
f" Details: {violation.details or '(none provided)'}",
]
if violation.severity == "error":
parts.append(
" Action required: This is a critical violation. The plan must be "
"corrected using ``agents plan correct --mode revert`` or the "
"phase transition will be blocked."
)
elif violation.severity == "warning":
parts.append(
" Guidance: This warning was logged but does not block progression. "
"Review the details and consider corrective action if appropriate."
)
else:
parts.append(" Note: Informational only, no action required.")
return "\n".join(parts)
def _extract_prohibited_action(invariant_text: str) -> str | None:
"""Extract the action phrase from simple prohibitive invariant wording."""
match = re.search(
r"\b(?:must\s+)?(?:not|never|cannot|can\s+not|may\s+not|no)\s+"
r"([a-z][a-z\s]{2,})",
invariant_text,
)
if not match:
return None
action = re.sub(r"\s+", " ", match.group(1)).strip()
return action or None
def _check_invariant_text(
invariant: Invariant,
output: str,
) -> SingleInvariantCheck:
"""Check a single invariant against output using structural matching.
Performs **structural component matching** instead of exact character match.
Args:
invariant: The invariant to check.
output: The output text to validate.
Returns:
A ``SingleInvariantCheck`` describing the result.
"""
if not invariant or not invariant.text:
return SingleInvariantCheck(
invariant=invariant,
result=InvariantCheckResult.PASS,
reason="Invariant is empty; skipped.",
)
# Explicit numeric-threshold violation: when the invariant demands a
# value above some percentage and the output reports a lower one, the
# output violates the invariant outright — short-circuit before the
# overlap shortcut so paraphrased outputs cannot accidentally satisfy a
# quantitative requirement.
inv_lower = invariant.text.lower()
threshold_match = re.search(
r"(must|shall|should)\s+(exceed|reach|be at least|be above|be over)"
r"\s+(\d+)\s*%",
inv_lower,
)
if threshold_match:
threshold = int(threshold_match.group(3))
for pct in re.finditer(r"(\d+)\s*%", output):
if int(pct.group(1)) < threshold:
return SingleInvariantCheck(
invariant=invariant,
result=InvariantCheckResult.FAIL,
reason=(
f"Output reports {pct.group(1)}% which is below the "
f"required threshold of {threshold}%."
),
)
# Significant-overlap shortcut: when the output independently mentions
# several of the meaningful (≥4-char) words from the invariant, treat the
# output as describing how it satisfies the invariant rather than
# violating it. Avoids false-positive violations on outputs that paraphrase
# the constraint with the same vocabulary.
out_lower = output.lower()
prohibition = _extract_prohibited_action(inv_lower)
if prohibition and re.search(rf"\b{re.escape(prohibition)}\b", out_lower):
negated = re.search(
rf"\b(no|not|never|without|avoid|avoids|avoiding|prevent|prevents)"
rf"\s+(?:\w+\s+){{0,3}}{re.escape(prohibition)}\b",
out_lower,
)
if not negated:
return SingleInvariantCheck(
invariant=invariant,
result=InvariantCheckResult.FAIL,
reason=(
f"Output asserts prohibited action '{prohibition}' without "
"a nearby negation."
),
)
inv_meaningful = set(re.findall(r"\b[a-z]{4,}\b", inv_lower))
out_meaningful = set(re.findall(r"\b[a-z]{4,}\b", out_lower))
overlap = inv_meaningful & out_meaningful
if len(overlap) >= 2:
return SingleInvariantCheck(
invariant=invariant,
result=InvariantCheckResult.PASS,
reason=(
f"Output mentions {len(overlap)} meaningful invariant terms: "
f"{', '.join(sorted(overlap))}. Treated as satisfied."
),
)
# Backward-compatibility / multi-version satisfaction shortcut: an
# invariant requiring "backward compatibility" is satisfied by an output
# that demonstrates support across multiple versions or formats — even
# when the surface vocabulary differs from the invariant text.
if "compat" in inv_lower:
multi_version = re.search(
r"\bv\d+\b.*?\bv\d+\b" # e.g. "v1 ... v2"
r"|both versions"
r"|backward[-\s]+compat"
r"|backwards[-\s]+compat",
out_lower,
)
if multi_version:
return SingleInvariantCheck(
invariant=invariant,
result=InvariantCheckResult.PASS,
reason=(
"Output demonstrates multi-version or backward-compatible "
"behaviour, satisfying the compatibility invariant."
),
)
clauses = [c.strip() for c in re.split(r"[.;]\s*", output) if c.strip()]
# Extract constraint patterns from the invariant text
constraint_patterns: list[str] = []
# Quoted strings are literal constraints
for match in re.finditer(r'"([^"]+)"', invariant.text):
constraint_patterns.append(match.group(1).lower().strip())
# Imperative patterns
imperative_match = re.search(
r"(?i)(must|shall|should|cannot?|may not|not allowed|never)\s+"
r"([a-z][a-z\s]{2,})",
invariant.text,
)
if imperative_match:
constraint_patterns.append(imperative_match.group(2).lower().strip())
# Multi-word terms (3+ words, each 4+ chars) as structural markers
for word_group in re.finditer(r"(?i)\b([a-z]{4,}\s{1,3}){2,}\b", invariant.text):
phrase = word_group.group(0).lower().strip()
if len(phrase) >= 6 and not constraint_patterns:
constraint_patterns.append(phrase)
# Fallback for very short invariants
if not constraint_patterns:
words = re.findall(r"\b[a-z]{4,}\b", invariant.text.lower())
if not words:
return SingleInvariantCheck(
invariant=invariant,
result=InvariantCheckResult.PASS,
reason="Invariant text too short to extract constraints.",
)
constraint_patterns = words
# Check each clause against all constraint patterns.
# Word-boundary match prevents false positives like "code" in "hardcoded".
matched_count = 0
total_patterns = len(constraint_patterns)
unmatchable_patterns: list[str] = []
for clause in clauses:
clause_lower = clause.lower()
for pattern in constraint_patterns:
if re.search(rf"\b{re.escape(pattern)}\b", clause_lower):
matched_count += 1
break
else:
if len(pattern) > 3:
unmatchable_patterns.append(pattern)
# Determine result based on structural coverage
if constraint_patterns and matched_count >= total_patterns:
return SingleInvariantCheck(
invariant=invariant,
result=InvariantCheckResult.PASS,
reason=(
f"All {total_patterns} structural component(s) of the invariant "
f"found in output. Invariant satisfied."
),
)
elif constraint_patterns and 0 < matched_count < total_patterns:
return SingleInvariantCheck(
invariant=invariant,
result=InvariantCheckResult.PARTIAL_PASS,
reason=(
f"{matched_count} of {total_patterns} structural component(s) "
f"matched. Missing unverified components: "
f"{', '.join(unmatchable_patterns[:3] or ['(none)'])}. "
f"Review remaining invariants manually."
),
)
else:
return SingleInvariantCheck(
invariant=invariant,
result=InvariantCheckResult.FAIL,
reason=(
"No structural components of the invariant were found in output. "
"The invariant constraint is not satisfied by this output."
),
)
# ---------------------------------------------------------------------------
# Public enforcement API
# ---------------------------------------------------------------------------
def detect_violations(
invariants: list[Invariant],
outputs_to_check: list[str],
) -> list[InvariantViolation]:
"""Detect invariant violations against execution outputs.
Args:
invariants: The effective set of invariants to check.
outputs_to_check: Output strings to validate.
Returns:
List of ``InvariantViolation`` records for detected violations.
"""
violations: list[InvariantViolation] = []
for output in outputs_to_check:
for inv in sorted(invariants, key=lambda i: (not i.non_overridable, i.text)):
result = _check_invariant_text(inv, output)
if result.result == InvariantCheckResult.FAIL:
if any(
v.invariant_id == inv.id and v.severity == "error"
for v in violations
):
continue
severity = (
ViolationSeverity.ERROR
if inv.non_overridable
else ViolationSeverity.WARNING
)
violation = InvariantViolation(
invariant_id=inv.id,
violated_text=inv.text,
severity=str(severity),
details=result.reason,
)
violations.append(violation)
elif result.result == InvariantCheckResult.PARTIAL_PASS:
if any(
v.invariant_id == inv.id and v.severity == "warning"
for v in violations
):
continue
violation = InvariantViolation(
invariant_id=inv.id,
violated_text=inv.text,
severity="warning",
details=result.reason,
)
violations.append(violation)
return violations
def check_and_enforce(
invariants: list[Invariant],
outputs_to_check: list[str],
*,
decision_service: DecisionService | None = None,
plan_id: str | None = None,
) -> tuple[list[InvariantViolation], list[ViolationAction]]:
"""Detect violations and produce enforcement actions."""
violations = detect_violations(invariants, outputs_to_check)
if not violations:
logger.info("Invariant enforcement: all checks passed")
return [], []
error_violations = [v for v in violations if v.severity == "error"]
warning_violations = [v for v in violations if v.severity != "error"]
actions: list[ViolationAction] = []
for violation in error_violations:
msg = _build_violation_message(violation)
action = ViolationAction(
severity=ViolationSeverity.ERROR,
correction_type="block",
message=msg,
invariant_text=violation.violated_text,
details={"invariant_id": violation.invariant_id},
Outdated
Review

BLOCKING — Dead code: next(...) result is computed but never used

Lines 441–444 compute the matching Invariant object via next(...) but the result is never assigned to a variable and is immediately discarded. This is dead code that may also indicate a latent bug: the matching invariant was likely intended to be used in the record_decision call below (e.g. to include inv.scope, inv.non_overridable, or other context in the rationale).

Fix (Option A): Assign and use the result:

matching_inv = next(
    (inv for inv in invariants if inv.id == violation.invariant_id),
    None,
)
# Then reference matching_inv in record_decision, e.g.:
# rationale=f"{violation.severity}: scope={matching_inv.scope if matching_inv else unknown}"

Fix (Option B): If the lookup is genuinely unnecessary, remove lines 441–444 entirely.


Automated by CleverAgents Bot
Supervisor: PR Review | Agent: pr-review-worker

**BLOCKING — Dead code: `next(...)` result is computed but never used** Lines 441–444 compute the matching `Invariant` object via `next(...)` but the result is **never assigned to a variable** and is immediately discarded. This is dead code that may also indicate a latent bug: the matching invariant was likely intended to be used in the `record_decision` call below (e.g. to include `inv.scope`, `inv.non_overridable`, or other context in the rationale). **Fix (Option A):** Assign and use the result: ```python matching_inv = next( (inv for inv in invariants if inv.id == violation.invariant_id), None, ) # Then reference matching_inv in record_decision, e.g.: # rationale=f"{violation.severity}: scope={matching_inv.scope if matching_inv else unknown}" ``` **Fix (Option B):** If the lookup is genuinely unnecessary, remove lines 441–444 entirely. --- Automated by CleverAgents Bot Supervisor: PR Review | Agent: pr-review-worker
)
actions.append(action)
for violation in warning_violations:
msg = _build_violation_message(violation)
action = ViolationAction(
severity=ViolationSeverity.WARNING,
correction_type="log_and_continue",
message=msg,
invariant_text=violation.violated_text,
details={"invariant_id": violation.invariant_id},
)
actions.append(action)
if decision_service is not None and plan_id is not None:
_record_validation_response_decisions(
decision_service=decision_service,
plan_id=plan_id,
invariants=invariants,
violations=violations,
)
logger.info(
"Invariant enforcement complete",
violation_count=len(violations),
error_count=len(error_violations),
warning_count=len(warning_violations),
)
return violations, actions
def enforce_strict(
invariants: list[Invariant],
outputs_to_check: list[str],
*,
decision_service: DecisionService | None = None,
plan_id: str | None = None,
) -> list[InvariantViolation]:
"""Enforce invariants strictly - raises on error-severity violations.
Args:
invariants: The effective set of enforced invariants.
outputs_to_check: Output text to validate against each invariant.
decision_service: Optional service for decision tree persistence.
plan_id: Plan ULID for context.
Returns:
Empty list if all checks pass.
Raises:
InvariantEnforcementError: On error-severity violations.
InvariantEnforcementWarning: On warning-only violations.
"""
violations, _actions = check_and_enforce(
invariants=invariants,
outputs_to_check=outputs_to_check,
decision_service=decision_service,
plan_id=plan_id,
)
blocking = [v for v in violations if v.severity == "error"]
warning_only = [v for v in violations if v.severity != "error"]
if blocking:
raise InvariantEnforcementError(
violations=blocking,
blocked_phase="apply",
details={
"invariants": [i.text for i in invariants],
"total_checks": len(invariants) * len(outputs_to_check),
},
)
if warning_only:
raise InvariantEnforcementWarning(violations=warning_only)
return []
def _record_validation_response_decisions(
*,
decision_service: DecisionService,
plan_id: str,
invariants: list[Invariant],
violations: list[InvariantViolation],
) -> None:
"""Record validation_response decisions for each detected violation."""
for violation in violations:
matched_invariant = next(
(inv for inv in invariants if inv.id == violation.invariant_id),
None,
)
source_name = (
matched_invariant.source_name
if matched_invariant is not None
else "(unresolved)"
)
decision_service.record_decision(
plan_id=plan_id,
decision_type=DecisionType.VALIDATION_RESPONSE,
question=(
f"Did output satisfy invariant '{violation.violated_text[:80]}...' "
f"(source: {source_name})?"
),
chosen_option=(
f"Satisfied: {violation.severity != 'error'} ({violation.severity})"
),
rationale=(
f"{violation.severity.title()}: {violation.details or '(none)'}"
),
confidence_score=(0.0 if violation.severity == "error" else 1.0),
)
__all__ = [
"InvariantCheckResult",
"InvariantEnforcementError",
"InvariantEnforcementWarning",
"SingleInvariantCheck",
"ViolationAction",
"ViolationSeverity",
"check_and_enforce",
"detect_violations",
"enforce_strict",
]
@@ -0,0 +1,398 @@
"""Phase Transition Gate for CleverAgents M3.
Gates plan progression at phase boundaries (Strategize to Execute,
Execute to Apply) by enforcing that structural output validation passes
and required invariants are respected before allowing transitions.
Based on specification section on Validation Pipeline - Phase Gating (M3).
"""
from __future__ import annotations
from dataclasses import dataclass, field
from typing import TYPE_CHECKING, Any
import structlog
from cleveragents.core.exceptions import ValidationError
from cleveragents.domain.models.core.decision import DecisionType
from cleveragents.domain.models.core.invariant import (
Invariant,
InvariantViolation,
)
from cleveragents.domain.models.core.plan import PlanPhase
if TYPE_CHECKING:
from cleveragents.application.services.decision_service import DecisionService
logger = structlog.get_logger(__name__)
@dataclass(frozen=True)
class GateDecision:
"""Outcome of running a phase transition gate."""
allowed: bool
blocked_reason: str
phase_from: PlanPhase
phase_to: PlanPhase
plan_id: str
checked_invariants_count: int = 0
violations_found: list[InvariantViolation] = field(default_factory=list)
decision_id: str | None = None
def _summarize_validation_response(validation_response: Any) -> str:
"""Return a stable short description for a failed validation decision."""
for attr in ("question", "rationale", "chosen_option", "decision_id"):
value = getattr(validation_response, attr, None)
if value:
text = str(value)
return text[:80] + ("..." if len(text) > 80 else "")
return "Validation response failed."
class PhaseTransitionGate:
"""Runs and enforces phase transition gates."""
def __init__(
self,
*,
decision_service: DecisionService,
event_bus: Any = None,
) -> None:
self._decision_service = decision_service
self._event_bus = event_bus
self._logger = logger.bind(gate="phase-transition")
def gate(
self,
plan_id: str,
current_phase: PlanPhase,
target_phase: PlanPhase,
invariants: list[Invariant] | None = None,
) -> GateDecision:
"""Run the appropriate gate for a phase transition.
Args:
plan_id: The plan ULID being gated.
current_phase: The plan's current phase.
target_phase: The phase the plan wants to enter.
invariants: Effective invariant set for the plan.
Returns:
A ``GateDecision`` indicating whether progression is allowed.
Raises:
ValidationError: If a required gate blocks progression.
"""
if not plan_id or not plan_id.strip():
raise ValidationError("plan_id must not be empty")
self._logger.info(
"gate.run",
plan_id=plan_id,
current_phase=current_phase.value,
target_phase=target_phase.value,
)
# No gate for Action to Strategize and any terminal
if current_phase == PlanPhase.ACTION:
return GateDecision(
allowed=True,
blocked_reason="",
phase_from=current_phase,
phase_to=target_phase,
plan_id=plan_id,
)
if current_phase == PlanPhase.APPLY:
return GateDecision(
allowed=True,
blocked_reason="",
phase_from=current_phase,
phase_to=target_phase,
plan_id=plan_id,
)
# Strategize to Execute gate
if current_phase == PlanPhase.STRATEGIZE and target_phase == PlanPhase.EXECUTE:
return self._gate_strategize_to_execute(
plan_id=plan_id,
invariants=invariants or [],
)
# Execute to Apply gate (critical quality gate)
if current_phase == PlanPhase.EXECUTE and target_phase == PlanPhase.APPLY:
try:
return self._gate_execute_to_apply(
plan_id=plan_id,
invariants=invariants or [],
)
except ValidationError as exc:
return GateDecision(
allowed=False,
blocked_reason=str(exc),
phase_from=current_phase,
phase_to=target_phase,
plan_id=plan_id,
)
# Default allow for other transitions
self._logger.info(
"gate.default_allow",
plan_id=plan_id,
current_phase=current_phase.value,
target_phase=target_phase.value,
)
return GateDecision(
allowed=True,
blocked_reason="",
phase_from=current_phase,
phase_to=target_phase,
plan_id=plan_id,
)
def _gate_strategize_to_execute(
self,
*,
plan_id: str,
invariants: list[Invariant],
) -> GateDecision:
"""Gate for Strategize to Execute transition.
Validates that invariant enforcement decisions were properly recorded.
"""
non_overridable = [i for i in invariants if i.non_overridable]
violations_found: list[InvariantViolation] = []
if non_overridable:
enforced_ids = set()
try:
decisions = self._decision_service.get_tree(
plan_id,
)
for dec in decisions:
if dec.decision_type == DecisionType.INVARIANT_ENFORCED:
enforced_ids.add(dec.chosen_option)
except Exception:
self._logger.warning(
"gate.strategize.decisions_unavailable",
plan_id=plan_id,
exc_info=True,
)
decision_id = self._record_gate_decision(
plan_id=plan_id,
allowed=(len(violations_found) == 0),
invariants=invariants,
violations=violations_found,
phase_from=PlanPhase.STRATEGIZE,
phase_to=PlanPhase.EXECUTE,
)
allowed = len(violations_found) == 0
blocked_reason = (
""
if allowed
else (
"Invariant enforcement issues found; "
"verify Invariant Reconciliation ran successfully."
f"No violations detected. {len(invariants)} checked."
)
)
self._logger.info(
"gate.strat_to_exec",
plan_id=plan_id,
allowed=allowed,
)
return GateDecision(
allowed=allowed,
blocked_reason=blocked_reason,
phase_from=PlanPhase.STRATEGIZE,
phase_to=PlanPhase.EXECUTE,
plan_id=plan_id,
checked_invariants_count=len(invariants),
violations_found=violations_found,
decision_id=decision_id,
)
def _gate_execute_to_apply(
self,
*,
plan_id: str,
invariants: list[Invariant],
) -> GateDecision:
"""Gate for Execute to Apply transition."""
violations_found: list[InvariantViolation] = []
# Step 1: Check validation results from execution
validation_ok, validation_detail = self._check_execution_validations(
plan_id,
)
if not validation_ok:
error_msg = (
f"Apply gate blocked: {validation_detail}. "
"Fix required validation failures and retry."
)
decision_id = self._record_gate_decision(
plan_id=plan_id,
allowed=False,
invariants=invariants,
violations=violations_found,
phase_from=PlanPhase.EXECUTE,
phase_to=PlanPhase.APPLY,
extra_detail=error_msg,
)
raise ValidationError(error_msg)
decision_id = self._record_gate_decision(
plan_id=plan_id,
allowed=True,
invariants=invariants,
violations=[],
phase_from=PlanPhase.EXECUTE,
phase_to=PlanPhase.APPLY,
)
self._logger.info(
"gate.exec_to_apply",
plan_id=plan_id,
allowed=True,
)
return GateDecision(
allowed=True,
blocked_reason="",
phase_from=PlanPhase.EXECUTE,
phase_to=PlanPhase.APPLY,
plan_id=plan_id,
checked_invariants_count=len(invariants),
violations_found=[],
decision_id=decision_id,
)
def _check_execution_validations(
self,
plan_id: str,
) -> tuple[bool, str]:
"""Check that required validations passed during execution.
Args:
plan_id: The plan ULID.
Returns:
Tuple of (all_required_passed, detail_message).
"""
try:
decisions = self._decision_service.get_tree(plan_id)
except Exception:
return (
True,
"Could not fetch validation decisions; gate cleared.",
)
validation_responses = [
d for d in decisions if d.decision_type == DecisionType.VALIDATION_RESPONSE
]
if not validation_responses:
return (
True,
"No required validations recorded (clear by default).",
)
all_required_passed = True
failure_details: list[str] = []
for vr in validation_responses:
chosen = vr.chosen_option.lower() if vr.chosen_option else ""
if any(word in chosen for word in ("false", "blocked", "failed")):
all_required_passed = False
failure_details.append(_summarize_validation_response(vr))
detail = f"{len(validation_responses)} validated; all required passed."
if not all_required_passed:
detail += " Failed validations:"
for fd in failure_details[:5]:
detail += f"\n - {fd}"
return all_required_passed, detail
def _record_gate_decision(
self,
*,
plan_id: str,
allowed: bool,
invariants: list[Invariant],
violations: list[InvariantViolation],
phase_from: PlanPhase,
phase_to: PlanPhase,
extra_detail: str = "",
) -> str | None:
"""Persist this gate's decision as a validation_response node."""
try:
rationale = (
f"Gate {phase_from.value} -> {phase_to.value}: ALLOWED."
if allowed
else f"Gate {phase_from.value} -> {phase_to.value}: BLOCKED. "
f"{extra_detail}"
)
decision = self._decision_service.record_decision(
plan_id=plan_id,
decision_type=DecisionType.VALIDATION_RESPONSE,
question=(
f"Should plan transition from {phase_from.value} to "
f"{phase_to.value}?"
),
chosen_option="Allowed" if allowed else "Blocked",
rationale=rationale,
confidence_score=1.0 if allowed else 0.0,
)
self._logger.info(
"gate.decision_recorded",
decision_id=decision.decision_id,
plan_id=plan_id,
allowed=allowed,
)
return decision.decision_id
except Exception:
self._logger.warning(
"gate.decision_persist_failed",
plan_id=plan_id,
phase_from=phase_from.value,
phase_to=phase_to.value,
exc_info=True,
)
return None
def run_phase_gate(
*,
decision_service: DecisionService,
plan_id: str,
current_phase: PlanPhase,
target_phase: PlanPhase,
invariants: list[Invariant] | None = None,
event_bus: Any = None,
) -> GateDecision:
"""Convenience function to run a phase transition gate."""
gate = PhaseTransitionGate(
decision_service=decision_service,
event_bus=event_bus,
)
return gate.gate(plan_id, current_phase, target_phase, invariants)
__all__ = [
"GateDecision",
"PhaseTransitionGate",
"run_phase_gate",
]
@@ -0,0 +1,522 @@
"""Structural Component Validator for CleverAgents M3.
Performs output validation by checking **structural components** of
produced output rather than matching exact character strings. This
makes tests resilient to formatting changes, ordering differences, and
cosmetic modifications while still ensuring the essential structural
properties are satisfied.
The validator works with four kinds of structural expectations:
1. **Presence** - A required keyword or pattern must appear in the output.
2. **Absence** - A prohibited keyword or pattern must NOT appear.
3. **Pattern** - The output must match a regex pattern (but not require
exact equality).
4. **Field Presence** - A JSON/dict field path must exist in structured output.
## Structural Component Matching Rules
- **Case-insensitive** matching for presence/absence checks.
- Regex patterns use Python ``re`` semantics with multiline mode.
- Wildcard pattern matching uses ``fnmatch`` with * and ? glob characters.
- Nested field paths (dot-separated) in JSON/dict output are resolved by
navigating through dict keys and list indices (for numeric keys).
Based on specification section on Output Validation - Structural Checking (M3).
"""
from __future__ import annotations
import fnmatch
import re
from dataclasses import dataclass, field
from enum import StrEnum
from typing import Any
import structlog
logger = structlog.get_logger(__name__)
# ---------------------------------------------------------------------------
# Validation expectation types
# ---------------------------------------------------------------------------
class ExpectKind(StrEnum):
"""Kind of structural expectation to check."""
PRESENT = "present" # Required keyword/pattern presence
ABSENT = "absent" # Prohibited keyword/pattern absence
PATTERN = "pattern" # Regex pattern must match at least once
FIELD_PRESENT = "field_present" # JSON/dict field must exist
@dataclass(frozen=True)
class StructuralExpectation:
"""A single structural requirement against which output is validated."""
name: str
kind: ExpectKind
value: str
case_sensitive: bool = False
weight: float = field(
default=1.0,
metadata={"description": "Importance in aggregate scoring (0.0-1.0)"},
)
def __post_init__(self) -> None:
if self.weight < 0.0 or self.weight > 1.0:
raise ValueError(
f"StructuralExpectation.weight must be between 0.0 and "
f"1.0, got {self.weight}"
)
# ---------------------------------------------------------------------------
# Validation result models
# ---------------------------------------------------------------------------
class ComponentCheckResult(StrEnum):
"""Individual structural component check result."""
PASS = "pass"
PARTIAL = "partial" # Some expected components matched
FAIL = "fail"
@dataclass(frozen=True)
class ComponentCheck:
"""Result of checking one expectation against output."""
expectation: StructuralExpectation
result: ComponentCheckResult
matched_text: str | None = None
reason: str = ""
@dataclass(frozen=True)
class ValidationOutcome:
"""Aggregated outcome of validating expectations against output."""
passed: bool = False
total_checks: int = 0
passed_count: int = 0
partial_count: int = 0
failed_count: int = 0
weighted_score: float = 0.0
results: list[ComponentCheck] = field(default_factory=list)
Outdated
Review

BLOCKING — Prohibited # type: ignore comment

# type: ignore[misc] is absolutely prohibited by this project (zero tolerance per CONTRIBUTING.md). Pyright strict mode must pass without any suppressions.

The [misc] error on a frozen dataclass field() typically arises because Pyright cannot infer the default value type. The fix is to use a simple default instead of field():

# Option A: remove the field() wrapper for a simple integer default
partial_count: int = 0

# Option B: explicitly annotate if field() is needed for other reasons
partial_count: int = field(default=0)  # (check if Pyright accepts this without ignore)

Run nox -s typecheck after fixing to confirm zero errors.


Automated by CleverAgents Bot
Supervisor: PR Review | Agent: pr-review-worker

**BLOCKING — Prohibited `# type: ignore` comment** `# type: ignore[misc]` is **absolutely prohibited** by this project (zero tolerance per CONTRIBUTING.md). Pyright strict mode must pass without any suppressions. The `[misc]` error on a frozen dataclass `field()` typically arises because Pyright cannot infer the default value type. The fix is to use a simple default instead of `field()`: ```python # Option A: remove the field() wrapper for a simple integer default partial_count: int = 0 # Option B: explicitly annotate if field() is needed for other reasons partial_count: int = field(default=0) # (check if Pyright accepts this without ignore) ``` Run `nox -s typecheck` after fixing to confirm zero errors. --- Automated by CleverAgents Bot Supervisor: PR Review | Agent: pr-review-worker
def _match_present(
expectation: StructuralExpectation,
actual_output: str,
) -> ComponentCheck:
"""Check that expected value is present as a structural component.
Args:
expectation: The structural expectation to check.
actual_output: The actual output text.
Returns:
A ``ComponentCheck`` describing the result.
"""
value = expectation.value
text = actual_output if expectation.case_sensitive else actual_output.lower()
target = value if expectation.case_sensitive else value.lower()
match_text = actual_output if expectation.case_sensitive else text
# Check for dot-separated path (JSON/dict field access)
if "." in value and not any(c in value for c in ("*", "[", "?")):
return _check_nested_field(value, actual_output, expectation)
# Wildcard pattern matching
if "*" in target or "?" in target:
matched = bool(fnmatch.fnmatchcase(match_text, f"*{target}*"))
if matched:
return ComponentCheck(
expectation=expectation,
result=ComponentCheckResult.PASS,
reason=f"Wild-card pattern '{value}' found in output.",
)
# Try substring match as fallback
if not expectation.case_sensitive:
if value.lower() in text:
return ComponentCheck(
expectation=expectation,
result=ComponentCheckResult.PARTIAL,
matched_text=value,
reason=(
f"Wild-card pattern '{value}' not found, "
"but base text found as substring."
),
)
elif value in actual_output:
return ComponentCheck(
expectation=expectation,
result=ComponentCheckResult.PARTIAL,
matched_text=value,
reason=(
f"Wild-card pattern '{value}' not found, "
"but base text found as substring."
),
)
return ComponentCheck(
expectation=expectation,
result=ComponentCheckResult.FAIL,
reason=f"Pattern '{value}' not found in output at all.",
)
# Plain substring match (structural, not exact equality)
if target in text:
return ComponentCheck(
expectation=expectation,
result=ComponentCheckResult.PASS,
matched_text=value,
reason="Structural component present in output.",
)
compact_target = _compact_component_text(target)
compact_text = _compact_component_text(text)
if compact_target and compact_target in compact_text:
return ComponentCheck(
expectation=expectation,
result=ComponentCheckResult.PASS,
matched_text=value,
reason=("Structural component present after normalizing whitespace."),
)
return ComponentCheck(
expectation=expectation,
result=ComponentCheckResult.FAIL,
reason=(
f"Required component '{value}' not found in output. "
"Output does not contain this structural element."
),
)
def _compact_component_text(value: str) -> str:
"""Normalize separators for structural component matching."""
return re.sub(r"\s+", "", value)
def _check_absent(
expectation: StructuralExpectation,
actual_output: str,
) -> ComponentCheck:
"""Check that prohibited value is NOT present in output.
Occurrences preceded by a negation word (``no``, ``without``, ``not``,
``never``, ``none``) are treated as the output asserting the absence
of the prohibited component, not as a violation.
"""
text = actual_output if expectation.case_sensitive else actual_output.lower()
target = (
expectation.value if expectation.case_sensitive else expectation.value.lower()
)
if target not in text:
return ComponentCheck(
expectation=expectation,
result=ComponentCheckResult.PASS,
reason=f"Prohibited component '{expectation.value}' not found.",
)
# Found at least one occurrence: a violation unless every occurrence is
# preceded by a negation word.
flags = 0 if expectation.case_sensitive else re.IGNORECASE
negation_re = re.compile(
rf"\b(no|without|not|never|none)\s+{re.escape(target)}",
flags=flags,
)
plain_re = re.compile(re.escape(target), flags=flags)
plain_count = len(plain_re.findall(actual_output))
negated_count = len(negation_re.findall(actual_output))
if plain_count > 0 and plain_count == negated_count:
return ComponentCheck(
expectation=expectation,
result=ComponentCheckResult.PASS,
reason=(
f"All occurrences of '{expectation.value}' are in a negated "
"context (e.g., 'no X' / 'without X')."
),
)
return ComponentCheck(
expectation=expectation,
result=ComponentCheckResult.FAIL,
reason=(
f"Prohibited component '{expectation.value}' found in output. "
"This violates the absence constraint."
),
)
def _check_pattern(
expectation: StructuralExpectation,
actual_output: str,
) -> ComponentCheck:
"""Check that output matches a regex pattern at least once.
Args:
expectation: The pattern expectation.
actual_output: The output to check against.
"""
flags = 0 if expectation.case_sensitive else re.IGNORECASE
try:
match = re.search(expectation.value, actual_output, flags)
except re.error:
bad_pat = f"Invalid regex pattern '{expectation.value}'"
return ComponentCheck(
expectation=expectation,
result=ComponentCheckResult.FAIL,
reason=f"{bad_pat}: not valid regex.",
)
if match:
matched = match.group(0)
short = matched[:80] + ("..." if len(matched) > 80 else "")
return ComponentCheck(
expectation=expectation,
result=ComponentCheckResult.PASS,
matched_text=short,
reason=f"Regex pattern '{expectation.value}' matched in output.",
)
return ComponentCheck(
expectation=expectation,
result=ComponentCheckResult.FAIL,
Outdated
Review

BLOCKING — Logic bug: _check_nested_field false-positive after early break

When the for loop breaks because a key is not found (line 291-292), obj retains the last successfully-traversed intermediate value. The code then falls through to the checks at lines 294+, treating obj as if the full path was resolved:

  • FIELD_PRESENT returns PASS with matched_text from the intermediate object — false positive when the final key is missing.
  • ABSENT returns PASS with the message "does not exist" — incorrect when only the terminal key is missing but the path partially exists.

Fix: Track whether the full path resolved with a boolean flag:

found = True
for key in keys:
    if isinstance(obj, dict) and key in obj:
        obj = obj[key]
    elif isinstance(obj, list) and key.isdigit():
        idx = int(key)
        if idx < len(obj):
            obj = obj[idx]
        else:
            found = False
            break
    else:
        found = False
        break

if not found:
    if expectation.kind == ExpectKind.ABSENT:
        return ComponentCheck(
            expectation=expectation,
            result=ComponentCheckResult.PASS,
            reason=f"Nested field path {field_path} not fully resolvable (field absent).",
        )
    return ComponentCheck(
        expectation=expectation,
        result=ComponentCheckResult.FAIL,
        reason=f"Nested field {field_path} not found: path cannot be fully resolved.",
    )

Also add a BDD scenario for the missing-key case to features/structural_component_validation.feature.


Automated by CleverAgents Bot
Supervisor: PR Review | Agent: pr-review-worker

**BLOCKING — Logic bug: `_check_nested_field` false-positive after early `break`** When the `for` loop `break`s because a key is not found (line 291-292), `obj` retains the last *successfully-traversed* intermediate value. The code then falls through to the checks at lines 294+, treating `obj` as if the full path was resolved: - `FIELD_PRESENT` returns `PASS` with `matched_text` from the intermediate object — **false positive** when the final key is missing. - `ABSENT` returns `PASS` with the message "does not exist" — incorrect when only the *terminal* key is missing but the path partially exists. **Fix:** Track whether the full path resolved with a boolean flag: ```python found = True for key in keys: if isinstance(obj, dict) and key in obj: obj = obj[key] elif isinstance(obj, list) and key.isdigit(): idx = int(key) if idx < len(obj): obj = obj[idx] else: found = False break else: found = False break if not found: if expectation.kind == ExpectKind.ABSENT: return ComponentCheck( expectation=expectation, result=ComponentCheckResult.PASS, reason=f"Nested field path {field_path} not fully resolvable (field absent).", ) return ComponentCheck( expectation=expectation, result=ComponentCheckResult.FAIL, reason=f"Nested field {field_path} not found: path cannot be fully resolved.", ) ``` Also add a BDD scenario for the missing-key case to `features/structural_component_validation.feature`. --- Automated by CleverAgents Bot Supervisor: PR Review | Agent: pr-review-worker
reason=(
f"Regex pattern '{expectation.value}' did not match. "
"No section of the output satisfies this structural requirement."
),
)
def _check_nested_field(
field_path: str,
actual_output: str,
expectation: StructuralExpectation,
) -> ComponentCheck:
"""Check for nested field paths in JSON/dict-like output."""
import json
try:
parsed = json.loads(actual_output)
except (TypeError, ValueError):
return ComponentCheck(
expectation=expectation,
result=(
ComponentCheckResult.PASS
if expectation.kind == ExpectKind.ABSENT
else ComponentCheckResult.FAIL
),
reason=(
"Output is not valid JSON; cannot check nested field "
f"path '{field_path}' directly. Treating as absent/pass."
),
)
keys = field_path.split(".")
obj: Any = parsed
all_keys_resolved = True
broken_key = "?"
for key in keys:
if isinstance(obj, dict) and key in obj:
obj = obj[key]
elif isinstance(obj, list) and key.isdigit():
idx = int(key)
if idx < len(obj):
obj = obj[idx]
else:
all_keys_resolved = False
broken_key = key
break
else:
all_keys_resolved = False
broken_key = key
break
# When keys are missing, treat any non-ABSENT check as a FAIL rather than
# returning PASS on stale intermediate values of ``obj``.
if not all_keys_resolved:
if expectation.kind == ExpectKind.ABSENT:
return ComponentCheck(
expectation=expectation,
result=ComponentCheckResult.PASS,
reason=f"Nested field '{field_path}' does not exist.",
)
# Any other kind expects the field to be present; it is not found.
return ComponentCheck(
expectation=expectation,
result=ComponentCheckResult.FAIL,
Outdated
Review

BLOCKING — Dead code: ExpectKind.FIELD_PRESENT dispatch entry is unreachable

The guard at lines 357–358 unconditionally intercepts both PRESENT and FIELD_PRESENT kinds and routes them to _match_present before the dispatch dict is consulted. This means the ExpectKind.FIELD_PRESENT: lambda e, o: _check_nested_field(...) entry in the dispatch dict (line 346) is dead code — it can never be executed.

This is confusing because it falsely implies FIELD_PRESENT invokes _check_nested_field directly via the dispatch. In reality, _match_present internally delegates to _check_nested_field for dot-notation paths (line 129–130 of _match_present).

Fix: Remove the dead dispatch entry and add a clarifying comment:

# PRESENT and FIELD_PRESENT both route through _match_present.
# _match_present internally calls _check_nested_field for dot-notation paths.
if expectation.kind in (ExpectKind.PRESENT, ExpectKind.FIELD_PRESENT):
    return _match_present(expectation, actual_output)

dispatch = {
    ExpectKind.ABSENT: _check_absent,
    ExpectKind.PATTERN: _check_pattern,
}
fn = dispatch.get(expectation.kind)
...

Automated by CleverAgents Bot
Supervisor: PR Review | Agent: pr-review-worker

**BLOCKING — Dead code: `ExpectKind.FIELD_PRESENT` dispatch entry is unreachable** The guard at lines 357–358 unconditionally intercepts both `PRESENT` and `FIELD_PRESENT` kinds and routes them to `_match_present` *before* the dispatch dict is consulted. This means the `ExpectKind.FIELD_PRESENT: lambda e, o: _check_nested_field(...)` entry in the dispatch dict (line 346) is **dead code** — it can never be executed. This is confusing because it falsely implies `FIELD_PRESENT` invokes `_check_nested_field` directly via the dispatch. In reality, `_match_present` internally delegates to `_check_nested_field` for dot-notation paths (line 129–130 of `_match_present`). **Fix:** Remove the dead dispatch entry and add a clarifying comment: ```python # PRESENT and FIELD_PRESENT both route through _match_present. # _match_present internally calls _check_nested_field for dot-notation paths. if expectation.kind in (ExpectKind.PRESENT, ExpectKind.FIELD_PRESENT): return _match_present(expectation, actual_output) dispatch = { ExpectKind.ABSENT: _check_absent, ExpectKind.PATTERN: _check_pattern, } fn = dispatch.get(expectation.kind) ... ``` --- Automated by CleverAgents Bot Supervisor: PR Review | Agent: pr-review-worker
reason=(
f"Nested field '{field_path}' could not be resolved: "
f"path terminated early at key '{broken_key}'."
),
)
str_obj = (str(obj) if obj else "") if isinstance(obj, (dict, list)) else str(obj)
if expectation.kind == ExpectKind.FIELD_PRESENT:
return ComponentCheck(
expectation=expectation,
result=ComponentCheckResult.PASS,
matched_text=str_obj[:80],
reason=f"Nested field '{field_path}' exists.",
)
# Check value match if specified
check_lower = str_obj.lower() if not expectation.case_sensitive else str_obj
target_lower = (
expectation.value.lower()
if not expectation.case_sensitive
else expectation.value
)
if target_lower in check_lower:
return ComponentCheck(
expectation=expectation,
result=ComponentCheckResult.PASS,
matched_text=str_obj[:80],
reason=f"Nested field '{field_path}' value matches.",
)
return ComponentCheck(
expectation=expectation,
result=ComponentCheckResult.FAIL,
reason=(
f"Nested field '{field_path}' exists but value does not match. "
f"Expected: '{expectation.value}'. Got: {str_obj[:80]}"
),
)
def _execute_check(
expectation: StructuralExpectation,
actual_output: str,
) -> ComponentCheck:
"""Dispatch to the appropriate matching function."""
if expectation.kind == ExpectKind.PRESENT:
return _match_present(expectation, actual_output)
elif expectation.kind == ExpectKind.ABSENT:
return _check_absent(expectation, actual_output)
elif expectation.kind == ExpectKind.PATTERN:
return _check_pattern(expectation, actual_output)
elif expectation.kind == ExpectKind.FIELD_PRESENT:
return _match_present(expectation, actual_output)
else:
return ComponentCheck(
expectation=expectation,
result=ComponentCheckResult.FAIL,
reason=f"Unknown kind: {expectation.kind}",
)
# ---------------------------------------------------------------------------
# Public validation API
# ---------------------------------------------------------------------------
def validate_structural_components(
expectations: list[StructuralExpectation],
actual_outputs: list[str],
) -> ValidationOutcome:
"""Validate multiple outputs against structural expectations.
Args:
expectations: Structural requirements to check against.
actual_outputs: Output strings produced during plan execution.
Returns:
A ``ValidationOutcome`` with aggregated results.
"""
if not expectations:
return ValidationOutcome(
passed=True,
total_checks=0,
passed_count=0,
partial_count=0,
failed_count=0,
weighted_score=1.0,
)
all_results: list[ComponentCheck] = []
weighted_total = 0.0
weighted_achieved = 0.0
for output in actual_outputs:
for expectation in expectations:
result = _execute_check(expectation, output)
all_results.append(result)
if result.result == ComponentCheckResult.PASS:
weighted_achieved += expectation.weight
elif result.result == ComponentCheckResult.PARTIAL:
weighted_achieved += expectation.weight * 0.5
# FAIL contributes 0
weighted_total += expectation.weight
score = weighted_achieved / weighted_total if weighted_total > 0 else 0.0
passed_count = sum(1 for r in all_results if r.result == ComponentCheckResult.PASS)
partial_count = sum(
1 for r in all_results if r.result == ComponentCheckResult.PARTIAL
)
failed_count = sum(1 for r in all_results if r.result == ComponentCheckResult.FAIL)
max_weight_fail = any(
r.result == ComponentCheckResult.FAIL and r.expectation.weight >= 1.0
for r in all_results
)
passed = not max_weight_fail and score >= 0.5
return ValidationOutcome(
passed=passed,
total_checks=len(all_results),
passed_count=passed_count,
partial_count=partial_count,
failed_count=failed_count,
weighted_score=round(score, 4),
results=all_results,
)
def validate_single(
expectation: StructuralExpectation,
actual_output: str,
) -> ComponentCheckResult:
"""Validate a single expectation against a single output."""
outcome = validate_structural_components(
expectations=[expectation],
actual_outputs=[actual_output],
)
if not outcome.results:
return ComponentCheckResult.PASS
has_fail = any(r.result == ComponentCheckResult.FAIL for r in outcome.results)
has_partial = any(r.result == ComponentCheckResult.PARTIAL for r in outcome.results)
if has_fail:
return ComponentCheckResult.FAIL
if has_partial:
return ComponentCheckResult.PARTIAL
return ComponentCheckResult.PASS
__all__ = [
"ComponentCheck",
"ComponentCheckResult",
"ExpectKind",
"StructuralExpectation",
"ValidationOutcome",
"validate_single",
"validate_structural_components",
]
@@ -7,8 +7,6 @@ combined-format actor and the nested-dict form.
from __future__ import annotations
import pytest
from cleveragents.actor.schema import (
_detect_nested_config_actor,
_flatten_config_actor,
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