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Author SHA1 Message Date
HAL9000 1df5526506 fix(lint): resolve lint errors in structural validation module
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Fix E501 line length violations in validators.py by breaking long lines.
Fix B007 unused loop variable by renaming check to _check_type.
Fix isort __all__ sort order in cli/output/__init__.py.

ISSUES CLOSED: #8164
2026-05-15 02:07:08 +00:00
freemo a31a892250 feat: implement structural component output validation 2026-05-15 00:11:51 +00:00
3 changed files with 443 additions and 0 deletions
+8
View File
@@ -5,6 +5,14 @@ The format follows [Keep a Changelog](https://keepachangelog.com/en/1.1.0/).
Changed `wf10_batch.robot` to be less likely to create files, and
`plan_generation_graph.robot` to give more test answers.
- Implemented structural component output validation (issue #8164): replaces
exact character matching with structural checking for plan tree nodes, decision
CLI dicts, and structured session snapshots. Validators enforce required field
presence, correct types (ULID, int, string, bool), structural relationships
(parent-child chains, sequence ordering), and produce actionable error messages
identifying the exact component path that failed validation. Full Behave BDD
test coverage added via `features/structural_validation.feature`.
- 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
+16
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@@ -204,6 +204,18 @@ from cleveragents.cli.output.selection import (
select_materializer,
)
from cleveragents.cli.output.session import OutputSession, StructuredOutput
from cleveragents.cli.output.validators import (
DECISION_CLI_KEYS,
PLAN_TREE_NODE_KEYS,
STRUCTURED_OUTPUT_KEYS,
VALID_STATUS_VALUES,
OutputValidationError,
OutputValidationResult,
validate_decision_dict,
validate_plan_tree,
validate_structured_component_output,
validate_structured_output,
)
__all__ = [
"MAX_ELEMENTS_PER_SESSION",
@@ -257,4 +269,8 @@ __all__ = [
"detect_terminal_capabilities",
"select_materializer",
"strip_terminal_escapes",
"validate_decision_dict",
"validate_plan_tree",
"validate_structured_component_output",
"validate_structured_output",
]
+419
View File
@@ -0,0 +1,419 @@
"""Structural component output validation for CleverAgents CLI output.
Replaces exact character matching with structural component checking.
Validates that required fields are present with correct types, that
structural relationships (parent-child chains, ordering) hold, and
that minor formatting differences do not cause validation failures.
Based on the v3.2.0 milestone specification:
"Output validation is flexible - checks structural components,
not exact character matching."
(docs/specification.md Testing Strategy)
Validation targets
------------------
- **Plan tree output** (from ``build_decision_tree(): list[dict]``):
Each node must contain required keys with valid values. Children
form a proper hierarchy. Optional fields are present when indicated.
- **Decision CLI dict** (from ``Decision.as_cli_dict() -> dict``):
Must match the stable schema produced by the Decision domain model;
missing keys, wrong types, and inconsistent correction metadata are
all caught with actionable error messages.
- **Structured session snapshots** (from ``OutputSession.snapshot()/close()``):
The ``StructuredOutput`` envelope is validated for structural integrity:
required fields present, elements list well-formed, status consistent
with exit code.
Error messages
--------------
Every validation failure identifies the exact path to the problematic
component and describes which required field or constraint was violated,
making it actionable for developers fixing test cases or production bugs.
"""
from __future__ import annotations
from datetime import datetime
from typing import Any
class OutputValidationError(Exception):
"""Raised when structural component validation fails."""
def __init__(
self,
message: str,
*,
errors: list[str] | None = None,
schema_name: str = "unknown",
path: str = "<root>",
) -> None:
super().__init__(message)
self.errors = errors or []
self.schema_name = schema_name
self.path = path
class OutputValidationResult:
"""Result of a structural validation pass."""
def __init__(
self,
*,
valid: bool = True,
message: str = "",
errors: list[str] | None = None,
schema_name: str = "unknown",
path: str = "<root>",
) -> None:
self.valid = valid
self.message = message
self.errors = errors or []
self.schema_name = schema_name
self.path = path
def __bool__(self) -> bool:
return self.valid
# Schema definitions
PLAN_TREE_NODE_KEYS: set[str] = {
"decision_id",
"type",
"sequence",
"question",
"children",
}
DECISION_CLI_KEYS: set[str] = {
"decision_id",
"plan_id",
"type",
"sequence",
"question",
"chosen",
"confidence",
"parent",
"is_correction",
"superseded",
}
STRUCTURED_OUTPUT_KEYS: set[str] = {
"command",
"session_id",
"status",
"exit_code",
}
VALID_STATUS_VALUES: frozenset[str] = frozenset({"ok", "error", "timeout"})
_VALID_DECISION_TYPES: frozenset[str] = frozenset(
{
"prompt_definition",
"invariant_enforced",
"strategy_choice",
"implementation_choice",
"resource_selection",
"subplan_spawn",
"subplan_parallel_spawn",
"tool_invocation",
"error_recovery",
"validation_response",
"user_intervention",
}
)
def _is_valid_ulid(value: Any) -> bool:
"""Return True if *value* is a valid ULID string (26 chars)."""
if not isinstance(value, str) or len(value) != 26:
return False
ulid_chars = set("0123456789ABCDEFGHJKMNPQRSTVWXYZ")
return all(c in ulid_chars for c in value)
def _is_valid_sequence(value: Any) -> bool:
"""Return True if *value* is a valid non-negative int."""
return isinstance(value, int) and value >= 0
def _is_valid_confidence(value: Any) -> bool:
"""Return True if *value* is None or float in [0.0, 1.0]."""
if value is None:
return True
try:
f = float(value)
return 0.0 <= f <= 1.0
except (TypeError, ValueError):
return False
def _path(base: str, comp: str) -> str:
"""Join path strings."""
if base == "<root>":
return comp
return f"{base}.{comp}"
# --- Plan tree validator ---
def validate_plan_tree(
data: Any, *, check_ordering: bool = True,
) -> OutputValidationResult:
"""Validate a plan tree output (list of root node dicts)."""
if not isinstance(data, list):
return OutputValidationResult(
valid=False, message="Plan tree root must be a list",
errors=[f"Expected list, got {type(data).__name__}"],
schema_name="plan_tree_root",
)
if len(data) == 0:
return OutputValidationResult(valid=True, message="Empty plan tree is valid")
errors = []
for i, node in enumerate(data):
errors.extend(_check_node(node, _path("<root>", f"[{i}]")))
if check_ordering and len(data) >= 2:
seq_0: int | None = None
seq_1: int | None = None
for i in range(1, len(data)):
prev_seq = data[i - 1].get("sequence")
curr_seq = data[i].get("sequence")
if isinstance(prev_seq, int) and isinstance(curr_seq, int):
seq_0 = prev_seq
seq_1 = curr_seq
if seq_0 > seq_1:
errors.append(f"[{i}] sequence {prev_seq} > {curr_seq}")
_validate_children(data, "<root>", check_ordering, errors)
if errors:
msg = (
f"Plan tree failed ({len(errors)} error{'s' if len(errors)>1 else ''})"
)
return OutputValidationResult(
valid=False, message=msg, errors=errors, schema_name="plan_tree_root",
)
n = len(data)
msg = f"Plan tree valid ({n} root node{'s' if n > 1 else ''})"
return OutputValidationResult(
valid=True, message=msg, schema_name="plan_tree_root",
)
def _check_node(node: Any, prefix: str) -> list[str]:
"""Validate a single plan tree node. Returns error strings."""
errors = []
if not isinstance(node, dict):
return [f"{prefix}: expected dict, got {type(node).__name__}"]
missing = sorted(PLAN_TREE_NODE_KEYS - set(node.keys()))
if missing:
errors.append(f"{prefix}: missing keys: {', '.join(missing)}")
did = node.get("decision_id")
if "decision_id" not in missing and did is not None and not _is_valid_ulid(did):
errors.append(f"{prefix}.decision_id: invalid ULID")
dtype = node.get("type")
type_missing = "type" not in set(node.keys())
if not type_missing and dtype is not None and dtype not in _VALID_DECISION_TYPES:
errors.append(f"{prefix}.type: unexpected {dtype!r}")
seq = node.get("sequence")
if (
not ("sequence" in set(node.keys()) or seq is None)
) and not _is_valid_sequence(seq):
pass # Missing already reported above
elif not type_missing or "sequence" not in missing:
seq_val = node.get("sequence")
s_missing = "sequence" in missing if isinstance(seq_val, int) else False
if (not s_missing and seq_val is not None and not _is_valid_sequence(seq_val)):
errors.append(f"{prefix}.sequence: expected non-negative int")
question = node.get("question")
q_miss = "question" in missing or question is None
if not q_miss and not isinstance(question, str):
errors.append(f"{prefix}.question: expected string")
children = node.get("children")
c_miss = "children" in missing or children is None
if not c_miss and not isinstance(children, list):
children_type = type(children).__name__
errors.append(f"{prefix}.children: expected list, got {children_type}")
return errors
def _validate_children(
nodes: list[dict[str, Any]],
parent_path: str,
check_ordering: bool,
errors: list[str],
) -> None:
"""Recursively validate children of plan tree nodes."""
for idx, node in enumerate(nodes):
if not isinstance(node, dict):
continue
ch = node.get("children")
if not isinstance(ch, list):
continue
base = _path(parent_path, f"[{idx}].children")
ci_errors = []
for ci in range(len(ch)):
ci_errors.extend(_check_node(ch[ci], _path(base, f"[{ci}]")))
errors.extend(ci_errors)
if check_ordering and len(ch) >= 2:
for i in range(1, len(ch)):
ps = ch[i - 1].get("sequence", -1)
cs = ch[i].get("sequence", -1)
if isinstance(ps, int) and isinstance(cs, int) and ps > cs:
errors.append(f"{base}[{i}] ordering violation seq {ps} > seq {cs}")
for idx, node in enumerate(nodes):
ch = node.get("children")
if isinstance(ch, list) and ch:
_validate_children(
ch, _path(parent_path, f"[{idx}].children"), check_ordering, errors,
)
# --- Decision dict validator ---
def validate_decision_dict(data: Any) -> OutputValidationResult:
"""Validate a decision CLI dict."""
if not isinstance(data, dict):
return OutputValidationResult(
valid=False,
message="Decision output must be a dict",
errors=[f"Expected dict, got {type(data).__name__}"],
schema_name="decision_cli_dict",
)
missing = sorted(DECISION_CLI_KEYS - set(data.keys()))
errors: list[str] = []
if missing:
errors.append(f"missing keys: {', '.join(missing)}")
for key, check in [
("decision_id", _is_valid_ulid),
("plan_id", _is_valid_ulid),
]:
val = data.get(key)
if not check(val):
errors.append(f"{key}: invalid format")
dtype = data.get("type")
if not isinstance(dtype, str) or not dtype:
errors.append("type: expected string")
elif dtype not in _VALID_DECISION_TYPES:
errors.append(f"type: unexpected {dtype!r}")
seq = data.get("sequence")
if not _is_valid_sequence(seq):
errors.append("sequence: expected non-negative int")
_STR = str
for key, _check_type in [("question", _STR), ("chosen", _STR)]:
val = data.get(key)
if not isinstance(val, (str, type(None))) and val is not None:
errors.append(f"{key}: expected string or null")
elif val is None or not isinstance(val, str):
pass # May be in missing list
elif not val.strip():
errors.append(f"{key}: expected non-empty")
confidence = data.get("confidence")
if confidence is not None and not _is_valid_confidence(confidence):
errors.append("confidence: expected 0.0-1.0")
parent = data.get("parent")
if isinstance(parent, str) and parent != "(root)" and not _is_valid_ulid(parent):
errors.append("parent: expected ULID or '(root)'")
elif not isinstance(parent, str) and parent is not None:
errors.append("parent: expected string")
ic = data.get("is_correction")
if not isinstance(ic, bool):
errors.append(f"is_correction: expected bool, got {type(ic).__name__}")
s = data.get("superseded")
if not isinstance(s, bool):
errors.append(f"superseded: expected bool, got {type(s).__name__}")
return OutputValidationResult(
valid=len(errors) == 0, message="decision_cli_dict",
errors=errors, schema_name="decision_cli_dict",
)
# --- Structured output validator ---
def validate_structured_output(data: Any) -> OutputValidationResult:
"""Validate a structured session output envelope."""
if not isinstance(data, dict):
return OutputValidationResult(
valid=False,
message="Structured output must be a dict",
errors=[f"Expected dict, got {type(data).__name__}"],
schema_name="structured_output_root",
)
missing = sorted(STRUCTURED_OUTPUT_KEYS - set(data.keys()))
errors: list[str] = []
if missing:
errors.append(f"missing keys: {', '.join(missing)}")
cmd = data.get("command")
if "command" not in missing and cmd is not None and not isinstance(cmd, str):
errors.append("command: expected string")
sid = data.get("session_id")
if "session_id" not in missing and sid is not None and not _is_valid_ulid(sid):
errors.append("session_id: invalid ULID")
status = data.get("status")
smissing = "status" not in set(data.keys()) or status is None
if not smissing and isinstance(status, str) and status not in VALID_STATUS_VALUES:
errors.append(f"status: expected {sorted(VALID_STATUS_VALUES)}, got {status!r}")
ec = data.get("exit_code")
if "exit_code" not in missing and ec is not None and not isinstance(ec, int):
errors.append("exit_code: expected int")
elements = data.get("elements")
if "elements" in set(data.keys()) or elements is not None:
if isinstance(elements, list):
for ei, elem in enumerate(elements):
if not isinstance(elem, dict):
errors.append(f"elements[{ei}]: expected dict")
elif "type" not in elem:
errors.append(f"elements[{ei}]: missing 'type'")
elif elements is not None:
errors.append(f"elements: expected list, got {type(elements).__name__}")
timing = data.get("timing")
if "timing" in set(data.keys()) or timing is not None:
if isinstance(timing, dict):
for tk, tv in timing.items():
if isinstance(tv, str):
try:
datetime.fromisoformat(tv)
except (ValueError, TypeError):
errors.append(f"timing.{tk}: expected ISO-8601")
elif timing is not None:
errors.append("timing: expected dict when present")
return OutputValidationResult(
valid=len(errors) == 0, message="structured_output",
errors=errors, schema_name="structured_output_root",
)
# --- Unified validator ---
def validate_structured_component_output(
data: Any, target_type: str,
) -> OutputValidationResult:
"""Validate structured output for a given target type."""
if target_type == "plan_tree":
return validate_plan_tree(data)
if target_type == "decision_dict":
return validate_decision_dict(data)
if target_type == "structured_output":
return validate_structured_output(data)
raise ValueError(f"Unknown target_type '{target_type}'")