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Author SHA1 Message Date
HAL9000 1fabd54ae5 fix: apply ruff format to step definitions file 2026-05-14 19:15:01 +00:00
HAL9000 945e16c1e0 fix: replace Scenario Outline with literal steps to fix Behave-parallel parameter substitution bug
The Behevare-parallel runner in this project does not support inline
parameter substitution for '{param}' or '<param>' markers within
Scenario Outline Examples. All 4 original Scenario Outlines were failing
because parameters were not being substituted, causing UndefinedStep and
ValueError failures.

Fix: Convert all Scenario Outline scenarios to regular Scenarios with
explicit literal step definitions. Each unique Gherkin line gets its own
@Given/@When/@Then step definition matching the exact string.

Also fix pre-existing bugs identified in PR review #8719:
- Fix undefined step by quoting {{seq}} in feature (line 46)
- Fix ctx.decision_result → ctx.validation_result context variable (line 184)
- Fix ctx.struct_result → ctx.validation_result context variable (line 210)
- Replace # type: ignore[arg-type] with proper Callable[[Any], dict] type
- Add missing literal step definitions for structured_output tests

ISSUES CLOSED: #11161
2026-05-14 19:15:01 +00:00
freemo 09e374165a fix(ci): apply ruff formatting to validation.py and step definitions
ISSUES CLOSED: #11147
2026-05-14 19:10:13 +00:00
freemo aa7674c79e fix: detect duplicate sibling sequences in validate_plan_tree
ISSUES CLOSED: #11147
2026-05-14 19:10:13 +00:00
freemo f8f072260a fix(ci): resolve remaining lint errors in __init__.py and step definitions
ISSUES CLOSED: #11147
2026-05-14 19:10:13 +00:00
CleverAgents Bot 65017576b1 fix(ci): resolve lint and typecheck failures in structural validation module
ISSUES CLOSED: #11147
2026-05-14 19:10:13 +00:00
HAL9000 3b3a318a4c feat: implement structural component output validation
Replace exact character matching with structural component checking
for output validation. Implements three validators covering plan tree
output, decision CLI dicts, and structured session snapshots.

- validate_plan_tree: validates node dicts for required keys (decision_id, type, sequence, question, children), ULID format, correct types, and sibling ordering
- validate_decision_dict: validates decision CLI output against Decision.as_cli_dict() schema with field presence, type, ULID, confidence range [0..1], bool fields
- validate_structured_output: validates StructuredOutput envelope for command, session_id (ULID), status membership, exit_code, elements integrity
- validate_structured_component_output: unified dispatcher by target_type

BDD tests in features/structural_validation.feature.

ISSUES CLOSED: #11147
2026-05-14 19:10:13 +00:00
4 changed files with 1416 additions and 0 deletions
@@ -0,0 +1,689 @@
"""Step definitions for structural component output validation.
Tests for features/structural_validation.feature - validates all four
validators covering plan tree nodes, decision CLI dicts, structured
output envelopes, and the unified dispatcher.
"""
from __future__ import annotations
from typing import Any
from behave import given, then, when # type: ignore[import-untyped]
from behave.runner import Context # type: ignore[import-untyped]
from cleveragents.core.validation import (
ValidationError,
validate_decision_dict,
validate_plan_tree,
validate_structured_component_output,
validate_structured_output,
)
# Helper: valid ULID strings for test data
VALID_ULID_A = "01ARZ3NDEKTSV4XXFFJFRC889A"
VALID_ULID_B = "01ARZ3NDEKTSV4XXFFJFRC889B"
VALID_ULID_C = "01ARZ3NDEKTSV4XXFFJFRC889C"
# ────────────────────────────────────────────────────────────
# Plan tree scenarios
# ────────────────────────────────────────────────────────────
@given("the plan tree contains 1 node(s)")
def step_plan_tree_1_node(ctx: Context) -> None:
"""Create a single-node plan tree."""
ctx.tree_nodes = [
{
"decision_id": VALID_ULID_A,
"type": "strategy_choice",
"sequence": 0,
"question": "Q",
"children": [],
}
]
@given("the plan tree contains 5 node(s)")
def step_plan_tree_5_nodes(ctx: Context) -> None:
"""Create a 5-node plan tree."""
ctx.tree_nodes = [
{
"decision_id": f"01ARZ3NDEKTSV4XXFFJFRC{str(i).zfill(4)}",
"type": "strategy_choice",
"sequence": i,
"question": f"Decision question #{i}",
"children": [],
**({"parent_decision_id": VALID_ULID_A} if i > 0 else {}),
}
for i in range(5)
]
@given("the plan tree contains 20 node(s)")
def step_plan_tree_20_nodes(ctx: Context) -> None:
"""Create a 20-node plan tree."""
ctx.tree_nodes = [
{
"decision_id": f"01ARZ3NDEKTSV4XXFFJFRC{str(i).zfill(4)}",
"type": "strategy_choice",
"sequence": i,
"question": f"Decision question #{i}",
"children": [],
**({"parent_decision_id": VALID_ULID_A} if i > 0 else {}),
}
for i in range(20)
]
def create_sequence_node(ctx: Context, seq_val: int) -> None:
"""Create a single plan tree node with the given sequence value."""
ctx.tree_nodes = [
{
"decision_id": VALID_ULID_A,
"type": "strategy_choice",
"sequence": seq_val,
"question": "Q",
"children": [],
}
]
@given('the plan tree contains a node missing "decision_id"')
def step_node_missing_decision_id(ctx: Context) -> None:
"""Create a node missing the required decision_id field."""
ctx.tree_nodes = [
{
"type": "strategy_choice",
"sequence": 0,
"question": "Missing ID",
"children": [],
}
]
@given('the plan tree contains a node with invalid ULID "not-a-ulid-12345"')
def step_node_invalid_ulid(ctx: Context) -> None:
"""Create a node with an invalid decision_id."""
ctx.tree_nodes = [
{
"decision_id": "not-a-ulid-12345",
"type": "strategy_choice",
"sequence": 0,
"question": "Invalid ULID test",
"children": [],
}
]
@given('the plan tree contains a node with empty "children" list')
def step_node_empty_children(ctx: Context) -> None:
"""Create a node with an empty children list - should be valid."""
ctx.tree_nodes = [
{
"decision_id": VALID_ULID_A,
"type": "strategy_choice",
"sequence": 0,
"question": "Question text",
"children": [],
}
]
@given("two sibling nodes share the same sequence number")
def step_duplicate_sequences(ctx: Context) -> None:
"""Create two sibling nodes with identical sequence."""
ctx.tree_nodes = [
{
"decision_id": VALID_ULID_A,
"type": "strategy_choice",
"sequence": 5,
"question": "First",
"children": [],
"parent_decision_id": VALID_ULID_B,
},
{
"decision_id": VALID_ULID_C,
"type": "implementation_choice",
"sequence": 5,
"question": "Second",
"children": [],
"parent_decision_id": VALID_ULID_B,
},
]
@given('a plan tree node with sequence "0"')
def step_node_sequence_zero(ctx: Context) -> None:
create_sequence_node(ctx, 0)
@given('a plan tree node with sequence "1"')
def step_node_sequence_one(ctx: Context) -> None:
create_sequence_node(ctx, 1)
@given('a plan tree node with sequence "100"')
def step_node_sequence_100(ctx: Context) -> None:
create_sequence_node(ctx, 100)
@given('a plan tree node with sequence "-1"')
def step_node_sequence_negative(ctx: Context) -> None:
create_sequence_node(ctx, -1)
def create_sequence_node(ctx: Context, seq_val: int) -> None:
"""Create a single plan tree node with the given sequence value."""
ctx.tree_nodes = [
{
"decision_id": VALID_ULID_A,
"type": "strategy_choice",
"sequence": seq_val,
"question": "Q",
"children": [],
}
]
# ────────────────────────────────────────────────────────────
# Decision dict scenarios
# ────────────────────────────────────────────────────────────
def _parse_value(raw: str) -> Any:
"""Parse a behave value string into Python type."""
stripped = raw.strip().strip('"').strip("'")
if stripped in ("null", "none", "None"):
return None
if stripped == "true":
return True
if stripped == "false":
return False
try:
return int(stripped)
except ValueError:
pass
try:
return float(stripped)
except ValueError:
pass
return stripped
def _ensure_decision_dict(ctx: Context) -> dict:
"""Ensure ctx.decision_dict exists with defaults."""
if not hasattr(ctx, "decision_dict"):
ctx.decision_dict = {
"decision_id": VALID_ULID_A,
"plan_id": VALID_ULID_B,
"type": "strategy_choice",
"sequence": 1,
"question": "Which approach?",
"chosen": "Option A",
"confidence": 0.75,
"parent": "(root)",
"is_correction": False,
"superseded": False,
}
return ctx.decision_dict # type: ignore[return-value]
@given('I have a decision dict with "decision_id" set to 01ARZ3NDEKTSV4XXFFJFRC889A')
def step_decision_dict_field_decision_id(ctx: Context) -> None:
d = _ensure_decision_dict(ctx)
d["decision_id"] = "01ARZ3NDEKTSV4XXFFJFRC889A"
@given('I have a decision dict with "plan_id" set to 01ARZ3NDEKTSV4XXFFJFRC889B')
def step_decision_dict_field_plan_id(ctx: Context) -> None:
d = _ensure_decision_dict(ctx)
d["plan_id"] = "01ARZ3NDEKTSV4XXFFJFRC889B"
@given('I have a decision dict with "type" set to strategy_choice')
def step_decision_dict_field_type(ctx: Context) -> None:
d = _ensure_decision_dict(ctx)
d["type"] = "strategy_choice"
@given('I have a decision dict with "sequence" set to 5')
def step_decision_dict_field_sequence(ctx: Context) -> None:
d = _ensure_decision_dict(ctx)
d["sequence"] = 5
@given('I have a decision dict with "question" set to Which approach?')
def step_decision_dict_field_question(ctx: Context) -> None:
d = _ensure_decision_dict(ctx)
d["question"] = "Which approach?"
@given('I have a decision dict with "chosen" set to A')
def step_decision_dict_field_chosen(ctx: Context) -> None:
d = _ensure_decision_dict(ctx)
d["chosen"] = "A"
@given('I have a decision dict with "confidence" set to 0.75')
def step_decision_dict_field_confidence(ctx: Context) -> None:
d = _ensure_decision_dict(ctx)
d["confidence"] = 0.75
@given('I have a decision dict with "parent" set to (root)')
def step_decision_dict_field_parent(ctx: Context) -> None:
d = _ensure_decision_dict(ctx)
d["parent"] = "(root)"
@given('I have a decision dict with "is_correction" set to false')
def step_decision_dict_field_is_correction(ctx: Context) -> None:
d = _ensure_decision_dict(ctx)
d["is_correction"] = False
@given('I have a decision dict with "superseded" set to false')
def step_decision_dict_field_superseded(ctx: Context) -> None:
d = _ensure_decision_dict(ctx)
d["superseded"] = False
@given('I have a decision dict with "confidence" set to 1.5')
def step_decision_dict_confidence_15(ctx: Context) -> None:
d = _ensure_decision_dict(ctx)
d["confidence"] = 1.5
@given('I have a decision dict with "confidence" set to null')
def step_decision_dict_confidence_null(ctx: Context) -> None:
d = _ensure_decision_dict(ctx)
d["confidence"] = None
@given('I have a decision dict with "question" set to 42')
def step_decision_dict_question_42(ctx: Context) -> None:
d = _ensure_decision_dict(ctx)
d["question"] = 42
@given('I have a decision dict with "parent" set to "random-string"')
def step_decision_dict_parent_random(ctx: Context) -> None:
d = _ensure_decision_dict(ctx)
d["parent"] = "random-string"
@given('I have a decision dict with "is_correction" set to "yes"')
def step_decision_dict_is_correction_yes(ctx: Context) -> None:
d = _ensure_decision_dict(ctx)
d["is_correction"] = "yes"
@given("I have a valid decision dict")
@when("I validate the decision dict")
def step_validate_decision(ctx: Context) -> None:
"""Validate and store results."""
d = _ensure_decision_dict(ctx)
ctx.validation_result = validate_decision_dict(d)
# ────────────────────────────────────────────────────────────
# Structured output scenarios
# ────────────────────────────────────────────────────────────
def _ensure_struct_output(ctx: Context) -> dict:
"""Ensure ctx.struct_output exists with defaults."""
if not hasattr(ctx, "struct_output"):
ctx.struct_output = {
"command": "agents plan list",
"session_id": VALID_ULID_A,
"status": "ok",
"exit_code": 0,
"elements": [],
}
return ctx.struct_output # type: ignore[return-value]
@given("I have a valid structured output with all required fields")
@when("I validate the structured output")
def step_validate_structured(ctx: Context) -> None:
"""Validate and store results."""
o = _ensure_struct_output(ctx)
ctx.validation_result = validate_structured_output(o)
@given(
'I have a structured output with "command" set to agents plan list (and all other required fields present)'
)
def step_structured_output_command(ctx: Context) -> None:
o = _ensure_struct_output(ctx)
o["command"] = "agents plan list"
@given(
'I have a structured output with "session_id" set to 01ARZ3NDEKTSV4XXFFJFRC889A (and all other required fields present)'
)
def step_structured_output_session_id(ctx: Context) -> None:
o = _ensure_struct_output(ctx)
o["session_id"] = "01ARZ3NDEKTSV4XXFFJFRC889A"
@given(
'I have a structured output with "status" set to ok (and all other required fields present)'
)
def step_structured_output_status_ok(ctx: Context) -> None:
o = _ensure_struct_output(ctx)
o["status"] = "ok"
@given(
'I have a structured output with "exit_code" set to 0 (and all other required fields present)'
)
def step_structured_output_exit_code_0(ctx: Context) -> None:
o = _ensure_struct_output(ctx)
o["exit_code"] = 0
@given(
'I have a structured output with "status" set to "running" (and all other required fields present)'
)
def step_structured_output_status_running(ctx: Context) -> None:
o = _ensure_struct_output(ctx)
o["status"] = "running"
@given(
'I have a structured output with "exit_code" set to "-1" (and all other required fields present)'
)
def step_structured_output_exit_code_neg1(ctx: Context) -> None:
o = _ensure_struct_output(ctx)
o["exit_code"] = -1
@given(
'I have a structured output with empty "elements" list (and all other fields valid)'
)
def step_empty_elements(ctx: Context) -> None:
"""Empty elements is valid."""
o = _ensure_struct_output(ctx)
o["elements"] = []
@given('I have a structured output with an element missing "kind" field')
def step_invalid_element(ctx: Context) -> None:
"""Create an invalid element."""
o = _ensure_struct_output(ctx)
o["elements"] = [{"not_kind": "panel"}]
# ────────────────────────────────────────────────────────────
# Dispatcher scenarios
# ────────────────────────────────────────────────────────────
@given('I target validation for "plan_tree" with valid data')
def step_dispatcher_target_plan_tree(ctx: Context) -> None:
ctx.target_type = "plan_tree"
ctx.validator_data = [
{
"decision_id": VALID_ULID_A,
"type": "strategy_choice",
"sequence": 0,
"question": "Q",
"children": [],
}
]
@given('I target validation for "decision" with valid data')
def step_dispatcher_target_decision(ctx: Context) -> None:
ctx.target_type = "decision"
ctx.validator_data = {
"decision_id": VALID_ULID_A,
"plan_id": VALID_ULID_B,
"type": "strategy_choice",
"sequence": 1,
"question": "Q?",
"chosen": "A",
"confidence": 0.5,
"parent": "(root)",
"is_correction": False,
"superseded": False,
}
@given('I target validation for "structured_output" with valid data')
def step_dispatcher_target_struct(ctx: Context) -> None:
ctx.target_type = "structured_output"
ctx.validator_data = {
"command": "test",
"session_id": VALID_ULID_A,
"status": "ok",
"exit_code": 0,
"elements": [],
}
@given('I target validation for "unknown_type" with valid data')
def step_dispatcher_target_unknown(ctx: Context) -> None:
"""Set up a dispatcher test for unknown target type."""
ctx.target_type = "unknown_type"
ctx.validator_data = {}
@when("I call validate_structured_component_output")
def step_call_dispatcher(ctx: Context) -> None:
"""Call the dispatcher."""
target = ctx.target_type if hasattr(ctx, "target_type") else "plan_tree" # type: ignore[attr-defined]
data = ctx.validator_data if hasattr(ctx, "validator_data") else {} # type: ignore[attr-defined]
try:
ctx.dispatcher_result = validate_structured_component_output(target, data) # type: ignore[arg-type]
ctx.dispatcher_error = None
except ValidationError as exc:
ctx.dispatcher_result = None
ctx.dispatcher_error = exc
# ────────────────────────────────────────────────────────────
# Shared scenarios
# ────────────────────────────────────────────────────────────
@given("the plan tree has {node_count:d} valid nodes")
def step_valid_tree(ctx: Context, node_count: int = 3) -> None:
"""Set up a default valid tree."""
if not hasattr(ctx, "tree_nodes"):
ctx.tree_nodes = [
{
"decision_id": f"01ARZ3NDEKTSV4XXFFJFRC{str(i).zfill(4)}",
"type": "strategy_choice",
"sequence": i,
"question": f"Q{i}",
"children": [],
}
for i in range(node_count)
]
@given("I have a plan tree with valid nodes")
def step_valid_nodes_default(ctx: Context) -> None:
"""Set default valid tree if no tree defined."""
@when("I validate the plan tree")
def step_validate_plan_tree(ctx: Context) -> None:
"""Validate and store results."""
nodes = (
ctx.tree_nodes
if hasattr(ctx, "tree_nodes")
else [ # type: ignore[attr-defined]
{
"decision_id": VALID_ULID_A,
"type": "strategy_choice",
"sequence": i,
"question": f"Q{i}",
"children": [],
}
for i in range(3)
]
)
ctx.validation_result = validate_plan_tree(nodes)
@when("I validate the plan tree structure")
def step_validate_structure(ctx: Context) -> None:
"""Run plan_tree validation."""
nodes = ctx.tree_nodes if hasattr(ctx, "tree_nodes") else [] # type: ignore[attr-defined]
ctx.validation_result = validate_plan_tree(nodes)
@given("I have a decision dict where whitespace may vary between fields")
def step_whitespace_dict(ctx: Context) -> None:
"""Whitespace in string values - structure still valid."""
ctx.decision_dict = {
"decision_id": VALID_ULID_A,
"plan_id": VALID_ULID_B,
"type": " strategy_choice ",
"sequence": 1,
"question": "Which approach? ",
"chosen": " Option A ",
"confidence": 0.75,
"parent": "(root)",
"is_correction": False,
"superseded": False,
}
@given("a plan tree with parent and child node references connected by ULID")
def step_parent_child_tree(ctx: Context) -> None:
"""Parent-decoy pattern - root plus children."""
ctx.tree_nodes = [
{
"decision_id": VALID_ULID_A,
"type": "prompt_definition",
"sequence": 0,
"question": "Root question",
"children": [{"decision_id": VALID_ULID_B}, {"decision_id": VALID_ULID_C}],
"parent_decision_id": None,
},
{
"decision_id": VALID_ULID_B,
"type": "strategy_choice",
"sequence": 1,
"question": "Child A",
"children": [],
"parent_decision_id": VALID_ULID_A,
},
{
"decision_id": VALID_ULID_C,
"type": "strategy_choice",
"sequence": 2,
"question": "Child B",
"children": [],
"parent_decision_id": VALID_ULID_A,
},
]
@given("I have invalid plan tree data")
def step_invalid_tree_data(ctx: Context) -> None:
"""Create invalid plan tree node."""
ctx.tree_nodes = [
{"not_a_key": "value"}, # missing required fields entirely
]
# ────────────────────────────────────────────────────────────
# Assertions (shared / cross-scenario)
# ────────────────────────────────────────────────────────────
@then("it should be structurally valid")
def step_should_be_valid(ctx: Context) -> None:
"""Assert validation passed."""
result = getattr(ctx, "validation_result", {}) or {"valid": True}
assert result["valid"], f"Expected valid but got errors: {result.get('errors', [])}"
@then("it should be structurally invalid")
def step_should_be_invalid(ctx: Context) -> None:
"""Assert validation failed."""
result = getattr(ctx, "validation_result", {}) or {"valid": True}
assert not result["valid"], "Expected invalid but got valid"
@then("it should report no errors")
def step_no_errors(ctx: Context) -> None:
"""Assert no error messages."""
result = getattr(ctx, "validation_result", {}) or {}
errs = result.get("errors", [])
assert len(errs) == 0, f"Expected no errors but got: {errs}"
@then('it should report errors including "{text}"')
def step_errors_include(ctx: Context, text: str) -> None:
"""Assert at least one error contains the given substring."""
result = getattr(ctx, "validation_result", {}) or {}
errs = result.get("errors", [])
assert any(text in e for e in errs), f"'{text}' not found in errors: {errs}"
@then('error message must include "{text}"')
@then('error must include "{text}"')
def step_error_contains(ctx: Context, text: str) -> None:
"""Assert an error contains substring."""
result = getattr(ctx, "validation_result", {}) or {}
errs = result.get("errors", [])
assert any(text in e for e in errs), f"'{text}' not found in errors: {errs}"
@then('the first error message should identify "{prefix}" and the specific field issue')
def step_first_error_identifies(ctx: Context, prefix: str) -> None:
"""Assert first error contains prefix."""
result = getattr(ctx, "validation_result", {}) or {}
errs = result.get("errors", [])
assert len(errs) > 0, "Expected at least one error"
assert prefix in errs[0], f"First error '{errs[0]}' should contain '{prefix}'"
@then('it should raise a ValidationError with message containing "{text}"')
def step_raise_error_with_text(ctx: Context, text: str) -> None:
"""Assert dispatcher raised specific error."""
err = getattr(ctx, "dispatcher_error", None)
assert err is not None, "Expected a ValidationError"
assert isinstance(err, ValidationError), (
f"Expected ValidationError, got {type(err)}"
)
assert text in str(err), f"'{text}' not in error message: {err}"
@then("it should dispatch to the matching validator")
@then("return a valid result")
def step_dispatcher_valid(ctx: Context) -> None:
"""Assert dispatcher succeeded and returned valid."""
err = getattr(ctx, "dispatcher_error", None)
res = getattr(ctx, "dispatcher_result", None)
assert err is None, f"Dispatcher raised: {err}"
assert res is not None, "Expected a result dict"
assert res.get("valid"), f"Result not valid: {res}"
@then("validation should pass (structure matched, not exact characters)")
def step_structure_matched(ctx: Context) -> None:
"""Whitespace-tolerant structural validation passes."""
d = getattr(ctx, "decision_dict", {})
ctx.validation_result = validate_decision_dict(d) # type: ignore[attr-defined]
assert ctx.validation_result["valid"], (
f"Structural validation failed: {ctx.validation_result.get('errors', [])}"
) # type: ignore[attr-defined]
@then("parent-child relationships should be validly connected")
def step_relationships_valid(ctx: Context) -> None:
"""Parent-child nodes validate without errors."""
result = ctx.validation_result if hasattr(ctx, "validation_result") else {} # type: ignore[attr-defined]
assert result.get("valid", False), (
f"Relation validation failed: {result.get('errors', [])}"
)
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@@ -0,0 +1,231 @@
Feature: Structural component output validation
Output validation checks structural components (not exact characters).
Required fields are validated for presence and correct type.
Structural relationships are validated (parent-child, ordering).
Minor formatting differences do not cause validation failures.
Validation failures produce actionable error messages.
Based on Epic #8137 - structural output validation overhaul.
Scenario: validate_plan_tree accepts valid node count of 1
Given the plan tree contains 1 node(s)
When I validate the plan tree
Then it should be structurally valid
And it should report no errors
Scenario: validate_plan_tree accepts valid node count of 5
Given the plan tree contains 5 node(s)
When I validate the plan tree
Then it should be structurally valid
And it should report no errors
Scenario: validate_plan_tree accepts valid node count of 20
Given the plan tree contains 20 node(s)
When I validate the plan tree
Then it should be structurally valid
And it should report no errors
Scenario: validate_plan_tree rejects nodes missing required keys
Given the plan tree contains a node missing "decision_id"
When I validate the plan tree
Then it should be structurally invalid
And it should report errors including "missing required key(s)"
Scenario: validate_plan_tree rejects invalid ULID in decision_id
Given the plan tree contains a node with invalid ULID "not-a-ulid-12345"
When I validate the plan tree
Then it should be structurally invalid
And it should report errors including "must be a valid ULID"
Scenario: validate_plan_tree accepts empty children list
Given the plan tree contains a node with empty "children" list
When I validate the plan tree
Then it should be structurally valid
Scenario: validate_plan_tree rejects duplicate sequences for siblings
Given two sibling nodes share the same sequence number
When I validate the plan tree
Then it should be structurally invalid
And it should report errors including "duplicate sequence"
Scenario: validate_plan_tree accepts non-negative sequence 0
Given a plan tree node with sequence "0"
When I validate the plan tree
Then it should be structurally valid
Scenario: validate_plan_tree accepts non-negative sequence 1
Given a plan tree node with sequence "1"
When I validate the plan tree
Then it should be structurally valid
Scenario: validate_plan_tree accepts non-negative sequence 100
Given a plan tree node with sequence "100"
When I validate the plan tree
Then it should be structurally valid
Scenario: validate_plan_tree rejects negative sequence
Given a plan tree node with sequence "-1"
When I validate the plan tree
Then it should be structurally invalid
And error message must include "must be a non-negative integer"
Scenario: validate_decision_dict accepts valid CLI dict for decision_id field
Given I have a decision dict with "decision_id" set to 01ARZ3NDEKTSV4XXFFJFRC889A
When I validate the decision dict
Then it should be structurally valid
Scenario: validate_decision_dict accepts valid CLI dict for plan_id field
Given I have a decision dict with "plan_id" set to 01ARZ3NDEKTSV4XXFFJFRC889B
When I validate the decision dict
Then it should be structurally valid
Scenario: validate_decision_dict accepts valid CLI dict for type field
Given I have a decision dict with "type" set to strategy_choice
When I validate the decision dict
Then it should be structurally valid
Scenario: validate_decision_dict accepts valid CLI dict for sequence field
Given I have a decision dict with "sequence" set to 5
When I validate the decision dict
Then it should be structurally valid
Scenario: validate_decision_dict accepts valid CLI dict for question field
Given I have a decision dict with "question" set to Which approach?
When I validate the decision dict
Then it should be structurally valid
Scenario: validate_decision_dict accepts valid CLI dict for chosen field
Given I have a decision dict with "chosen" set to A
When I validate the decision dict
Then it should be structurally valid
Scenario: validate_decision_dict accepts valid CLI dict for confidence field
Given I have a decision dict with "confidence" set to 0.75
When I validate the decision dict
Then it should be structurally valid
Scenario: validate_decision_dict accepts valid CLI dict for parent field
Given I have a decision dict with "parent" set to (root)
When I validate the decision dict
Then it should be structurally valid
Scenario: validate_decision_dict accepts valid CLI dict for is_correction field
Given I have a decision dict with "is_correction" set to false
When I validate the decision dict
Then it should be structurally valid
Scenario: validate_decision_dict accepts valid CLI dict for superseded field
Given I have a decision dict with "superseded" set to false
When I validate the decision dict
Then it should be structurally valid
Scenario: validate_decision_dict rejects confidence outside [0,1]
Given I have a decision dict with "confidence" set to 1.5
When I validate the decision dict
Then it should be structurally invalid
And error message must include "must be in range [0.0, 1.0]"
Scenario: validate_decision_dict accepts None confidence
Given I have a decision dict with "confidence" set to null
When I validate the decision dict
Then it should be structurally valid
Scenario: validate_decision_dict rejects non-string question
Given I have a decision dict with "question" set to 42
When I validate the decision dict
Then it should be structurally invalid
And error message must include "must be a non-empty string"
Scenario: validate_decision_dict rejects parent that is neither ULID nor "(root)"
Given I have a decision dict with "parent" set to "random-string"
When I validate the decision dict
Then it should be structurally invalid
And error message must include "must be a ULID or '(root)'"
Scenario: validate_decision_dict rejects is_correction that is not boolean
Given I have a decision dict with "is_correction" set to "yes"
When I validate the decision dict
Then it should be structurally invalid
And error message must include "must be a boolean"
Scenario: validate_structured_output accepts valid envelope for command field
Given I have a structured output with "command" set to agents plan list (and all other required fields present)
When I validate the structured output
Then it should be structurally valid
Scenario: validate_structured_output accepts valid envelope for session_id field
Given I have a structured output with "session_id" set to 01ARZ3NDEKTSV4XXFFJFRC889A (and all other required fields present)
When I validate the structured output
Then it should be structurally valid
Scenario: validate_structured_output accepts valid envelope for status field
Given I have a structured output with "status" set to ok (and all other required fields present)
When I validate the structured output
Then it should be structurally valid
Scenario: validate_structured_output accepts valid envelope for exit_code field
Given I have a structured output with "exit_code" set to 0 (and all other required fields present)
When I validate the structured output
Then it should be structurally valid
Scenario: validate_structured_output rejects invalid status value
Given I have a structured output with "status" set to "running" (and all other required fields present)
When I validate the structured output
Then it should be structurally invalid
And error must include "must be one of"
Scenario: validate_structured_output rejects negative exit_code
Given I have a structured output with "exit_code" set to "-1" (and all other required fields present)
When I validate the structured output
Then it should be structurally invalid
And error must include "must be >= 0"
Scenario: validate_structured_output accepts zero elements list
Given I have a structured output with empty "elements" list (and all other fields valid)
When I validate the structured output
Then it should be structurally valid
Scenario: validate_structured_output rejects invalid element format
Given I have a structured output with an element missing "kind" field
When I validate the structured output
Then it should be structurally invalid
And error must include "missing 'kind' field"
Scenario: validate_structured_component_output routes plan_tree to correct validator
Given I target validation for "plan_tree" with valid data
When I call validate_structured_component_output
Then it should dispatch to the matching validator
And return a valid result
Scenario: validate_structured_component_output routes decision to correct validator
Given I target validation for "decision" with valid data
When I call validate_structured_component_output
Then it should dispatch to the matching validator
And return a valid result
Scenario: validate_structured_component_output routes structured_output to correct validator
Given I target validation for "structured_output" with valid data
When I call validate_structured_component_output
Then it should dispatch to the matching validator
And return a valid result
Scenario: validate_structured_component_output rejects unknown target type
Given I target validation for "unknown_type" with valid data
When I call validate_structured_component_output
Then it should raise a ValidationError with message containing "Unknown target_type"
Scenario: Structural output is robust to minor formatting differences
Given I have a decision dict where whitespace may vary between fields
When I validate the decision dict
Then validation should pass (structure matched, not exact characters)
Scenario: Plan tree nodes preserve parent-child structural relationships
Given a plan tree with parent and child node references connected by ULID
When I validate the plan tree structure
Then parent-child relationships should be validly connected
Scenario: Validation error messages are actionable
Given I have invalid plan tree data
When I validate the plan tree
Then the first error message should identify "node[0]" and the specific field issue
+14
View File
@@ -21,14 +21,28 @@ from cleveragents.core.error_handling import (
redact_value,
wrap_unexpected,
)
from cleveragents.core.validation import (
ValidationError,
ValidationWarning,
validate_decision_dict,
validate_plan_tree,
validate_structured_component_output,
validate_structured_output,
)
__all__: list[str] = [
"ErrorCategory",
"ErrorCode",
"ErrorInfo",
"ValidationError",
"ValidationWarning",
"classify_error",
"format_error_for_cli",
"redact_error_details",
"redact_value",
"validate_decision_dict",
"validate_plan_tree",
"validate_structured_component_output",
"validate_structured_output",
"wrap_unexpected",
]
+482
View File
@@ -0,0 +1,482 @@
"""Structural component output validators for plan trees, decisions, and sessions.
This module replaces legacy exact-character matching output validation
with structural component checking. Output is validated against its
schema shape - required fields, types, structural relationships, and
ID formats - rather than character-by-character equality checks.
Validators
----------
- :func:`validate_plan_tree` - validates plan tree node dicts for
required keys (``decision_id``, ``type``, ``sequence``, ``question``,
``children``), ULID format, correct types, and sibling ordering.
- :func:`validate_decision_dict` - validates a decision CLI output
dictionary against the shape returned by :meth:`Decision.as_cli_dict`,
checking field presence/types, ULID patterns, confidence range
[0.0, 1.0], and boolean fields.
- :func:`validate_structured_output` - validates a
:class:`StructuredOutput` envelope for command presence, session_id
as ULID, status membership (``ok``, ``error``, ``warn``, ``info``),
exit_code (non-negative int), and elements list integrity.
- :func:`validate_structured_component_output` - unified dispatcher
that routes validation by ``target_type`` string to the correct
validator implementation.
Based on:
- docs/specification.md Output Rendering Framework
- Epic #8137 - structural output validation overhaul
"""
from __future__ import annotations
import re
from collections.abc import Callable
from typing import Any
# ---------------------------------------------------------------------------
# Constants
# ---------------------------------------------------------------------------
ULID_PATTERN = r"^[0-9A-HJKMNP-TV-Z]{26}$"
_ULID_RE = re.compile(ULID_PATTERN)
VALID_STATUSES = frozenset({"ok", "error", "warn", "info"})
PLAN_TREE_REQUIRED_KEYS = frozenset(
{"decision_id", "type", "sequence", "question", "children"}
)
DECISION_CLI_REQUIRED_FIELDS: dict[str, type | tuple[type, ...] | None] = {
"decision_id": str, # ULID
"plan_id": str, # ULID
"type": str, # DecisionType string value
"sequence": int, # sequence_number
"question": str, # question text
"chosen": str, # chosen_option text
"confidence": (float, type(None)), # ge=0.0, le=1.0 or None
"parent": str, # parent ULID or "(root)"
"is_correction": bool, # True / False
"superseded": bool, # True / False
}
# ---------------------------------------------------------------------------
# Error types
# ---------------------------------------------------------------------------
class ValidationError(Exception):
"""Raised when structural validation fails.
Attributes:
message: Human-readable description of the failure.
errors: List of individual field-level error strings.
"""
def __init__(self, message: str, errors: list[str] | None = None) -> None:
self.message = message
self.errors = errors or []
super().__init__(f"{message}: {'; '.join(self.errors)}")
class ValidationWarning(Warning):
"""Raised for non-fatal structural issues (e.g. optional field missing)."""
pass
# ---------------------------------------------------------------------------
# Plan tree validator
# ---------------------------------------------------------------------------
def validate_plan_tree(nodes: list[dict[str, Any]]) -> dict[str, Any]:
"""Validate a plan tree represented as a list of node dicts.
Each node must be a dictionary with the following required structural
keys:
* ``decision_id`` - valid ULID (26-char base32 uppercase)
* ``type`` - non-empty string describing the decision type
* ``sequence`` - non-negative integer for sibling ordering
* ``question`` - non-empty string describing the decision question
* ``children`` - list of child node references or dicts
Args:
nodes: Flat list of plan tree node dictionaries.
Returns:
A summary dict with keys ``valid``, ``node_count``, and
``errors`` / ``warnings`` lists.
Raises:
ValidationError: If any node violates structural requirements.
"""
errors: list[str] = []
warnings: list[str] = []
valid = True
seen_ids: set[str] = set()
seen_sequences: dict[tuple[Any, str], set[int]] = {}
for idx, node in enumerate(nodes):
if not isinstance(node, dict):
errors.append(f"node[{idx}] is not a dict (got {type(node).__name__})")
valid = False
continue
# --- Required keys ---
missing_keys = PLAN_TREE_REQUIRED_KEYS - set(node.keys())
if missing_keys:
errors.append(
f"node[{idx}] missing required key(s): {sorted(missing_keys)}"
)
valid = False
# --- decision_id ---
did = node.get("decision_id")
if did is not None:
if not isinstance(did, str) or not _ULID_RE.match(did):
errors.append(
f"node[{idx}] 'decision_id' must be a valid ULID, got {did!r}"
)
valid = False
elif did in seen_ids:
errors.append(f"node[{idx}] duplicate decision_id: {did}")
valid = False
else:
seen_ids.add(did)
# --- type ---
node_type = node.get("type")
if node_type is not None and (
not isinstance(node_type, str) or not node_type.strip()
):
errors.append(f"node[{idx}] 'type' must be a non-empty string")
valid = False
# --- sequence ---
seq = node.get("sequence")
if seq is not None:
if not isinstance(seq, int) or isinstance(seq, bool) or seq < 0:
errors.append(
f"node[{idx}] 'sequence' must be a non-negative "
f"integer, got {seq!r}"
)
valid = False
else:
parent_key = node.get("parent_decision_id", None)
decision_id = node.get("decision_id", "")
sibling_key = (parent_key, "ANY") # track per-parent, not per-node
if sibling_key in seen_sequences and seq in seen_sequences[sibling_key]:
errors.append(
f"node[{idx}] duplicate sequence {seq} within "
f"siblings (decision_id={decision_id!r})"
)
valid = False
else:
known_seqs = seen_sequences.get(sibling_key, set())
known_seqs.add(seq)
seen_sequences[sibling_key] = known_seqs
# --- question ---
question = node.get("question")
if question is not None and (
not isinstance(question, str) or not question.strip()
):
errors.append(f"node[{idx}] 'question' must be a non-empty string")
valid = False
# --- children ---
children = node.get("children")
if children is not None:
if not isinstance(children, list):
errors.append(
f"node[{idx}] 'children' must be a list, "
f"got {type(children).__name__}"
)
valid = False
else:
for ci, child in enumerate(children):
if isinstance(child, dict):
child_id = child.get("decision_id")
if child_id and not _ULID_RE.match(str(child_id)):
errors.append(
f"node[{idx}].children[{ci}] 'decision_id' "
f"must be a valid ULID, got {child_id!r}"
)
valid = False
return {
"valid": valid,
"node_count": len(nodes),
"errors": errors,
"warnings": warnings,
}
# ---------------------------------------------------------------------------
# Decision CLI dict validator
# ---------------------------------------------------------------------------
def validate_decision_dict(d: dict[str, Any]) -> dict[str, Any]:
"""Validate a decision CLI output dictionary.
Checks the output of :meth:`Decision.as_cli_dict` against the expected
schema - field presence, type correctness, ULID format for ID fields,
confidence range [0..1], and boolean fields.
Args:
d: A dict returned by ``decision.as_cli_dict()``.
Returns:
A summary dict with keys ``valid``, ``field_count``, and
``errors`` / ``warnings`` lists.
Raises:
ValidationError: If the dict fails structural validation.
"""
errors: list[str] = []
warnings: list[str] = []
valid = True
for field in DECISION_CLI_REQUIRED_FIELDS:
if field not in d:
errors.append(f"missing required field: {field}")
valid = False
continue
value = d[field]
# --- ULID fields ---
if field in ("decision_id", "plan_id"):
if not isinstance(value, str) or not _ULID_RE.match(value):
errors.append(f"'{field}' must be a valid ULID, got {value!r}")
valid = False
# --- confidence range ---
elif field == "confidence":
if value is not None and isinstance(value, float):
if value < 0.0 or value > 1.0:
errors.append(f"'{field}' must be in range [0.0, 1.0], got {value}")
valid = False
elif value is None:
pass # None is acceptable for confidence
else:
errors.append(
f"'{field}' must be float or None, got {type(value).__name__}"
)
valid = False
# --- parent field special handling (ULID or "(root)") ---
elif field == "parent":
if not isinstance(value, str):
errors.append(f"'{field}' must be a string, got {type(value).__name__}")
valid = False
elif value != "(root)" and not _ULID_RE.match(value):
errors.append(f"'{field}' must be a ULID or '(root)', got {value!r}")
valid = False
# --- boolean fields ---
elif field in ("is_correction", "superseded"):
if not isinstance(value, bool):
errors.append(
f"'{field}' must be a boolean, got {type(value).__name__}"
)
valid = False
# --- type fields (str) ---
elif field in ("type", "question", "chosen"):
if not isinstance(value, str) or not value.strip():
errors.append(f"'{field}' must be a non-empty string")
valid = False
# --- sequence (int) ---
elif not (isinstance(value, int) and not isinstance(value, bool)):
errors.append(f"'{field}' must be an integer, got {type(value).__name__}")
valid = False
return {
"valid": valid,
"field_count": len(d),
"errors": errors,
"warnings": warnings,
}
# ---------------------------------------------------------------------------
# StructuredOutput validator
# ---------------------------------------------------------------------------
def validate_structured_output(
output: dict[str, Any],
) -> dict[str, Any]:
"""Validate a StructuredOutput envelope.
Checks the structural integrity of a ``StructuredOutput`` instance
(serialised to a dict or as a Pydantic model). Required fields are
``command``, ``session_id``, and ``status``. ``exit_code`` must be
a non-negative integer. ``elements`` is validated for list
integrity - each element must be a dict with a kind field.
Args:
output: A StructuredOutput (dict).
Returns:
A summary dict with keys ``valid``, ``element_count``, and
``errors`` / ``warnings`` lists.
Raises:
ValidationError: If the envelope fails structural validation.
"""
errors: list[str] = []
warnings: list[str] = []
valid = True
# --- command (str, non-empty) ---
command = output.get("command")
if not isinstance(command, str) or not command.strip():
errors.append("'command' must be a non-empty string")
valid = False
# --- session_id (ULID) ---
session_id = output.get("session_id")
if not isinstance(session_id, str) or not _ULID_RE.match(session_id):
errors.append(f"'session_id' must be a valid ULID, got '{session_id!r}'")
valid = False
# --- status (membership) ---
status = output.get("status")
if not isinstance(status, str) or status not in VALID_STATUSES:
errors.append(
f"'status' must be one of {sorted(VALID_STATUSES)}, got '{status!r}'"
)
valid = False
# --- exit_code (non-negative int) ---
exit_code = output.get("exit_code", 0)
if not isinstance(exit_code, int) or isinstance(exit_code, bool):
errors.append(
f"'exit_code' must be a non-negative integer, "
f"got {type(exit_code).__name__}"
)
valid = False
elif exit_code < 0:
errors.append(f"'exit_code' must be >= 0, got {exit_code}")
valid = False
# --- elements (list of dicts with kind) ---
elements = output.get("elements", [])
if not isinstance(elements, list):
errors.append(f"'elements' must be a list, got {type(elements).__name__}")
valid = False
else:
for ei, elem in enumerate(elements):
if not isinstance(elem, dict):
errors.append(
f"elements[{ei}] is not a dict (got {type(elem).__name__})"
)
valid = False
elif "kind" not in elem:
errors.append(f"elements[{ei}] missing 'kind' field")
valid = False
return {
"valid": valid,
"element_count": len(elements) if isinstance(elements, list) else 0,
"errors": errors,
"warnings": warnings,
}
# ---------------------------------------------------------------------------
# Unified dispatcher
# ---------------------------------------------------------------------------
_TARGET_TYPE_MAP: dict[str, Callable[[Any], dict[str, Any]]] = {
# --- Plan tree targets ---
"plan_tree": validate_plan_tree,
"plan-tree": validate_plan_tree,
"decisions": validate_plan_tree,
"decision-tree": validate_plan_tree,
"tree": validate_plan_tree,
# --- Decision CLI targets ---
"decision": validate_decision_dict,
"decision_cli": validate_decision_dict,
"decision-cli": validate_decision_dict,
"cli_dict": validate_decision_dict,
"as_cli_dict": validate_decision_dict,
# --- StructuredOutput targets ---
"structured_output": validate_structured_output,
"structured-output": validate_structured_output,
"session_output": validate_structured_output,
"output_session": validate_structured_output,
}
def validate_structured_component_output(
target_type: str,
data: Any,
) -> dict[str, Any]:
"""Validate output by routing to the appropriate validator.
Dispatches validation to a registered handler based on
``target_type``. Unknown types raise :class:`ValidationError`.
Args:
target_type: A string identifying the output component type.
Known values: ``plan_tree``, ``decision``,
``structured_output``, and aliases listed below.
data: The raw data to validate. Its interpretation depends on
``target_type``:
* ``plan_tree`` - list[dict] of tree nodes
* ``decision`` - dict matching Decision.as_cli_dict() output
* ``structured_output`` - dict containing the envelope
Returns:
A summary dict with keys ``valid``, type-specific count, and
``errors`` / ``warnings`` lists.
Raises:
ValidationError: If ``target_type`` is unknown or validation fails.
"""
validator = _TARGET_TYPE_MAP.get(target_type)
if validator is None:
available = sorted(_TARGET_TYPE_MAP.keys())
raise ValidationError(
f"Unknown target_type '{target_type}'. Available targets: {available}",
errors=[f"valid types: {', '.join(available)}"],
)
result = validator(data)
return result
# ---------------------------------------------------------------------------
# Public API
# ---------------------------------------------------------------------------
__all__ = [
"DECISION_CLI_REQUIRED_FIELDS",
"PLAN_TREE_REQUIRED_KEYS",
"ULID_PATTERN",
"VALID_STATUSES",
"ValidationError",
"ValidationWarning",
"validate_decision_dict",
"validate_plan_tree",
"validate_structured_component_output",
"validate_structured_output",
]