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JSON Schema validation for predraw scene and config files.

#predraw.validator

#predraw.validator

strictspec-backed validation for predraw scene and config documents.

The validation engine is generated from predraw/schema/*.schema.toml by strictspec gen (driven by strictspec.toml); the generated modules are predraw._scene_validator and predraw._config_validator. This module is a thin adapter that keeps predraw's dict-in / list[str]-out surface for callers (the CLI validate command and the test suite) and provides the load-path gate that hard-errors on any diagnostic.

Behaviour differences from the legacy jsonschema engine are intentional and enforced by strictspec: documents must carry a top-level integer format_version (the version gate); alias pairs (camelCase canonical + snake_case) may not both be present; numeric lexemes that float64 cannot represent exactly are refused; unknown keys are always a hard error.

#SchemaValidationError

Raised by the load path when a scene or config document fails validation.

#validate_scene

python
def validate_scene(data: dict) -> list[str]

Validate a scene dict. Returns rendered diagnostics (empty = valid).

#validate_config

python
def validate_config(data: dict) -> list[str]

Validate a config dict. Returns rendered diagnostics (empty = valid).

#ensure_valid_scene

python
def ensure_valid_scene(raw: bytes) -> None

Validate raw scene JSON bytes; raise SchemaValidationError on any diagnostic.

Raw bytes (not a re-serialized dict) are validated so the byte-level lexeme checks (e.g. unrepresentable numbers) see the document exactly as written.

#ensure_valid_config

python
def ensure_valid_config(raw: bytes) -> None

Validate raw config JSON bytes; raise SchemaValidationError on any diagnostic.

#_diagnostics

python
def _diagnostics(module, raw: bytes) -> list[str]

Run a generated validator over raw JSON bytes and render its diagnostics.

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