affaan-m/ECC · error · ContractError

contains a boolean numeric value

Error message

{label} contains a boolean numeric value

What it means

_validate_numeric_evidence rejects boolean values used where numbers are expected. In Python, bool is a subclass of int, so True would silently pass numeric checks; this explicit check prevents booleans from posing as numeric evidence in probe documents.

Solutions

1. Replace boolean values in numeric fields with actual numbers (1/0) in the source document.
2. If the field is genuinely a flag, move it outside the numeric-evidence structure.
3. Author YAML with explicit numbers (duration: 1) and quote values that must stay strings/bools.
4. Add a pre-save lint that rejects bools inside numeric evidence sections.

Example fix

// before
"duration": true
// after
"duration": 1

def no_bools(node) -> bool:
    if isinstance(node, bool): return False
    if isinstance(node, dict): return all(no_bools(v) for v in node.values())
    if isinstance(node, list): return all(no_bools(v) for v in node)
    return True

def is_real_number(v) -> bool:
    return isinstance(v, (int, float)) and not isinstance(v, bool)

try:
    validate_genre_specs(spec)
except ContractError as e:
    if 'boolean numeric value' in str(e):
        fix_bool_numerics(spec)  # map True/False to 1/0 in numeric fields
    else:
        raise

When it happens

Trigger: validate_genre_specs or probe evidence containing numeric fields set to true/false — e.g. "duration": true, nested dicts/lists of evidence containing booleans. The function recurses into dicts and lists, so any nested bool triggers it.

Common situations: YAML-authored specs where yes/no become booleans, authors using true as a placeholder for 1, template documents with unfinished boolean toggles inside numeric blocks.

Understand the failure class

Background: Type mismatch errors: IllegalArgumentException, TypeError and type guards across 150 open-source libraries — this error's family across 150 libraries.

Related errors

• application bundle differs from its bound evidence
• At least one video is required
• cannot upload, file does not exist
• Draft name must be a plain file name
• Geometry, fps and duration must be finite and positive

AI-assisted analysis of affaan-m/ECC@8321021c54 (2026-09-16). Data as JSON: /api/errors/a999d1862a3ae56e. Report an issue: GitHub.

Appendix: source

Thrown at skills/taste-application/scripts/tasteforge/contract.py:39

def _is_finite_real(value: Any) -> bool:
    return isinstance(value, (int, float)) and not isinstance(value, bool) and math.isfinite(value)


def _validate_media_time(value: Any, source_duration: Any, *, label: str) -> None:
    if not _is_finite_real(source_duration):
        raise ContractError(f"{label} has an invalid finite source duration")
    source_duration = cast(float, source_duration)
    if float(source_duration) <= 0:
        raise ContractError(f"{label} has an invalid finite source duration")
    if (not _is_finite_real(value) or float(value) < 0
            or float(value) > float(source_duration)):
        raise ContractError(f"{label} is outside its source duration")


def _validate_numeric_evidence(value: Any, *, label: str) -> None:
    if isinstance(value, bool):
        raise ContractError(f"{label} contains a boolean numeric value")
    if isinstance(value, (int, float)):
        if not math.isfinite(value):
            raise ContractError(f"{label} contains a non-finite numeric value")
    elif isinstance(value, dict):
        for nested in value.values():
            _validate_numeric_evidence(nested, label=label)
    elif isinstance(value, list):
        for nested in value:
            _validate_numeric_evidence(nested, label=label)


def _validate_probe_evidence(probe: Any, source_duration: float, *, label: str) -> None:
    if not isinstance(probe, dict):
        raise ContractError(f"{label} lacks probe evidence")
    _validate_numeric_evidence(probe, label=label)
    if probe.get("duration") != source_duration:
        raise ContractError(f"{label} probe duration is not bound to source duration")
    for field in ("sample_times", "scene_changes"):

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