feat: Add SDL3CPlusPlus game engine to gameengine/

Import SDL3CPlusPlus C++ game engine with:
- SDL3 + bgfx rendering backend
- Vulkan/Metal/DirectX shader support
- MaterialX material system
- Scene framework with ECS architecture
- Comprehensive test suite (TDD approach)
- Conan package management
- CMake build system

This provides the native C++ foundation for the Universal Platform's
Game and 3D capability modules.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
2026-01-21 16:29:20 +00:00
parent 1c84e87fcb
commit 6fbc47a2db
4438 changed files with 1158418 additions and 0 deletions

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#!/usr/bin/env python3
"""Convert the bundled XM tracker file to an OGG so the demo can play music."""
from __future__ import annotations
import argparse
import shlex
import subprocess
from pathlib import Path
import imageio_ffmpeg
def parse_args() -> argparse.Namespace:
parser = argparse.ArgumentParser(description="Convert scripts/modmusic.xm into OGG.")
parser.add_argument(
"--input",
type=Path,
default=Path(__file__).parent / "modmusic.xm",
help="Tracker file to render (default: scripts/modmusic.xm).",
)
parser.add_argument(
"--output",
type=Path,
default=Path(__file__).parent / "modmusic.ogg",
help="Path for the rendered OGG (default next to scripts/modmusic.xm).",
)
parser.add_argument(
"--bitrate",
default="192k",
help="FFmpeg audio bitrate (default: 192k).",
)
return parser.parse_args()
def main() -> None:
args = parse_args()
if not args.input.exists():
raise SystemExit(f"Error: XM source {args.input} is missing")
args.output.parent.mkdir(parents=True, exist_ok=True)
ffmpeg_path = imageio_ffmpeg.get_ffmpeg_exe()
ffmpeg_cmd = [
ffmpeg_path,
"-y",
"-i",
str(args.input),
"-b:a",
args.bitrate,
str(args.output),
]
print("Executing:", " ".join(shlex.quote(arg) for arg in ffmpeg_cmd))
subprocess.run(ffmpeg_cmd, check=True)
if __name__ == "__main__":
main()

1986
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#!/usr/bin/env python3
"""Create the demo's shared `.ogg` audio library via ``pedalboard`` + ``soundfile``."""
from __future__ import annotations
import argparse
import logging
import shutil
from pathlib import Path
from typing import Optional
logger = logging.getLogger(__name__)
try:
import numpy as np
import soundfile as sf
from pedalboard import Chorus, Delay, Distortion, Pedalboard, Reverb
except ImportError as exc: # pragma: no cover - requires extra dependencies
raise SystemExit(
"Missing pedalboard or soundfile. Install them with "
"`python -m pip install pedalboard soundfile numpy`. "
f"ImportError: {exc}"
) from exc
try:
from piper import PiperVoice
except ImportError:
PiperVoice = None # type: ignore[assignment]
try:
from piper.download_voices import download_voice
except ImportError:
download_voice = None # type: ignore[assignment]
SAMPLE_RATE = 44100
TTS_PHRASES = [
"Level 1",
"Level 2",
"Game Over",
"Continue",
"Power Up",
]
DEFAULT_PIPER_VOICE_NAME = "en_US-lessac-medium"
DEFAULT_PIPER_VOICE_DIR = (
Path(__file__).resolve().parent / "assets" / "audio" / "tts" / "voices"
)
def _num_samples(duration: float) -> int:
return max(1, int(round(duration * SAMPLE_RATE)))
def _apply_envelope(
signal: np.ndarray,
attack: float,
decay: float,
sustain_level: float,
release: float,
) -> np.ndarray:
total = signal.shape[0]
attack_samples = min(total, int(round(attack * SAMPLE_RATE)))
decay_samples = min(total - attack_samples, int(round(decay * SAMPLE_RATE)))
release_samples = min(
total - attack_samples - decay_samples, int(round(release * SAMPLE_RATE))
)
sustain_samples = total - (attack_samples + decay_samples + release_samples)
env = np.empty(total, dtype=np.float32)
idx = 0
if attack_samples > 0:
env[idx : idx + attack_samples] = np.linspace(0.0, 1.0, attack_samples, False)
idx += attack_samples
if decay_samples > 0:
env[idx : idx + decay_samples] = np.linspace(
1.0, sustain_level, decay_samples, False
)
idx += decay_samples
if sustain_samples > 0:
env[idx : idx + sustain_samples] = sustain_level
idx += sustain_samples
if release_samples > 0:
env[-release_samples:] = np.linspace(
sustain_level, 0.0, release_samples, False
)
if idx + sustain_samples < total - release_samples:
env[idx + sustain_samples : -release_samples] = sustain_level
if attack_samples + decay_samples + sustain_samples + release_samples == 0:
env[:] = 1.0
return signal * env
def _download_piper_voice(voice_name: str, download_dir: Path) -> None:
if download_voice is None:
logger.warning(
"Automatic voice download requires `piper.download_voices`; install piper-tts to enable it."
)
return
download_dir.mkdir(parents=True, exist_ok=True)
logger.info("Downloading Piper voice %s into %s", voice_name, download_dir)
download_voice(voice_name, download_dir)
def _sine_glide(duration: float, start_freq: float, end_freq: float) -> np.ndarray:
samples = _num_samples(duration)
t = np.linspace(0.0, duration, samples, False)
freq = np.linspace(start_freq, end_freq, samples)
return np.sin(2 * np.pi * freq * t).astype(np.float32)
def _pink_noise(duration: float) -> np.ndarray:
samples = _num_samples(duration)
return np.random.normal(scale=0.15, size=samples).astype(np.float32)
def _menu_select(duration: float) -> tuple[np.ndarray, list]:
signal = _sine_glide(duration, 520, 960)
signal = _apply_envelope(signal, 0.01, 0.12, 0.6, 0.15)
effects = [Chorus(rate_hz=1.1, depth=0.18, mix=0.6)]
return signal, effects
def _power_up(duration: float) -> tuple[np.ndarray, list]:
signal = _sine_glide(duration, 270, 940)
signal += 0.25 * _pink_noise(duration)
signal = _apply_envelope(signal, 0.02, 0.26, 0.45, 0.2)
effects = [
Distortion(drive_db=14.0),
Reverb(room_size=0.45, wet_level=0.25, dry_level=0.9),
]
return signal, effects
def _level_up(duration: float) -> tuple[np.ndarray, list]:
base = _sine_glide(duration, 420, 660)
harmony = 0.45 * _sine_glide(duration, 660, 840)
signal = (base + harmony) / 1.45
signal = _apply_envelope(signal, 0.01, 0.18, 0.55, 0.25)
effects = [
Chorus(rate_hz=0.95, depth=0.24, mix=0.55),
Delay(delay_seconds=0.18, feedback=0.25, mix=0.35),
]
return signal, effects
def _swish(duration: float) -> tuple[np.ndarray, list]:
signal = _pink_noise(duration)
signal = _apply_envelope(signal, 0.1, 0.3, 0.2, 0.3)
effects = [
Reverb(room_size=0.7, wet_level=0.5, dry_level=0.4),
Chorus(rate_hz=0.4, depth=0.2, mix=0.45),
]
return signal, effects
def _thud(duration: float) -> tuple[np.ndarray, list]:
base = _sine_glide(duration, 80, 120)
signal = 0.7 * base + 0.3 * _pink_noise(duration)
signal = _apply_envelope(signal, 0.01, duration * 0.4, 0.0, 0.3)
effects = [
Distortion(drive_db=10.0),
Reverb(room_size=0.85, wet_level=0.55, dry_level=0.3),
]
return signal, effects
SFX_DEFINITIONS = [
("menu_select", 0.65, "short ascending ping", _menu_select),
("power_up", 1.1, "riser with harmonic shimmer", _power_up),
("level_up", 0.9, "bright burst", _level_up),
("swish", 0.7, "noisy transition", _swish),
("thud", 1.0, "low impact", _thud),
]
def _render_ogg(path: Path, duration: float, builder):
signal, effects = builder(duration)
processed = signal
if effects:
board = Pedalboard(effects)
processed = board(processed, SAMPLE_RATE)
processed = np.clip(processed, -1.0, 1.0).astype(np.float32)
sf.write(
str(path),
processed,
SAMPLE_RATE,
format="OGG",
subtype="VORBIS",
)
def _slugify(text: str) -> str:
return "".join(ch if ch.isalnum() else "_" for ch in text).strip("_").lower()
def _configure_logging(verbose: bool) -> None:
level = logging.DEBUG if verbose else logging.INFO
logging.basicConfig(level=level, format="%(levelname)s: %(message)s")
def _generate_sfx(output_dir: Path, force: bool):
target_dir = output_dir / "sfx"
if force and target_dir.exists():
logger.debug("Removing existing SFX folder %s", target_dir)
shutil.rmtree(target_dir)
target_dir.mkdir(parents=True, exist_ok=True)
for name, duration, description, builder in SFX_DEFINITIONS:
target = target_dir / f"{name}.ogg"
if target.exists() and not force:
logger.info(f"Skipping existing sound: {target.name} ({description})")
continue
logger.info(f"Rendering SFX: {name} -> {target.name}")
_render_ogg(target, duration, builder)
def _load_piper_voice(model_path: Path, config_path: Optional[Path]) -> Optional["PiperVoice"]:
if PiperVoice is None:
logger.warning("piper-tts is not installed; skipping voice generation.")
return None
if not model_path.exists():
logger.warning("Piper voice model not found at %s; skip TTS.", model_path)
return None
resolved_config = config_path or Path(f"{model_path}.json")
if not resolved_config.exists():
logger.warning(
"Piper voice config not found at %s; skip TTS generation.", resolved_config
)
return None
return PiperVoice.load(str(model_path), config_path=str(resolved_config))
def _synthesize_phrase_to_ogg(voice: "PiperVoice", phrase: str, path: Path) -> None:
chunks = list(voice.synthesize(phrase))
if not chunks:
logger.warning("Piper generated no audio for phrase '%s'", phrase)
return
audio = np.concatenate([chunk.audio_float_array for chunk in chunks])
audio = np.clip(audio, -1.0, 1.0).astype(np.float32)
sf.write(
str(path),
audio,
voice.config.sample_rate,
format="OGG",
subtype="VORBIS",
)
def _generate_tts(
output_dir: Path,
force: bool,
voice_model: Path,
voice_config: Optional[Path],
) -> None:
voice = _load_piper_voice(voice_model, voice_config)
if voice is None:
return
tts_dir = output_dir / "tts"
if force and tts_dir.exists():
logger.debug("Removing existing TTS folder %s", tts_dir)
shutil.rmtree(tts_dir)
tts_dir.mkdir(parents=True, exist_ok=True)
for phrase in TTS_PHRASES:
slug = _slugify(phrase)
target = tts_dir / f"{slug}.ogg"
if target.exists() and not force:
logger.info(f"Skipping existing voice: {target.name} ({phrase})")
continue
logger.info(f"Rendering voice: {phrase} -> {target.name}")
_synthesize_phrase_to_ogg(voice, phrase, target)
def main():
parser = argparse.ArgumentParser(
description="Regenerate the OGG sound library for the demo."
)
parser.add_argument(
"--output-dir",
type=Path,
default=Path(__file__).resolve().parent / "assets" / "audio",
help="Where to store generated OGG files.",
)
parser.add_argument(
"--force",
action="store_true",
help="Rebuild every asset even if a file already exists.",
)
parser.add_argument(
"--skip-tts",
action="store_true",
help="Do not regenerate the text-to-speech phrases.",
)
parser.add_argument(
"--skip-sfx",
action="store_true",
help="Do not regenerate the procedural sound effects.",
)
parser.add_argument(
"--verbose",
action="store_true",
help="Enable debug logging while generating audio assets.",
)
parser.add_argument(
"--piper-voice",
default=DEFAULT_PIPER_VOICE_NAME,
help="Piper voice identifier like 'en_US-lessac-medium'.",
)
parser.add_argument(
"--piper-voice-model",
type=Path,
help="Path to the Piper ONNX voice model (defaults to <download-dir>/<voice>.onnx).",
)
parser.add_argument(
"--piper-voice-config",
type=Path,
help="Path to the Piper voice config JSON (defaults to <model>.json).",
)
parser.add_argument(
"--download-voice",
action="store_true",
help="Automatically download the Piper voice before generating TTS.",
)
args = parser.parse_args()
_configure_logging(args.verbose)
logger.debug("Output directory: %s", args.output_dir)
voice_model_directory = (
args.piper_voice_model.parent if args.piper_voice_model else DEFAULT_PIPER_VOICE_DIR
)
voice_model = args.piper_voice_model or (
voice_model_directory / f"{args.piper_voice}.onnx"
)
voice_config = args.piper_voice_config
voice_model.parent.mkdir(parents=True, exist_ok=True)
args.output_dir.mkdir(parents=True, exist_ok=True)
if args.download_voice:
_download_piper_voice(args.piper_voice, voice_model.parent)
if not args.skip_sfx:
_generate_sfx(args.output_dir, args.force)
if not args.skip_tts:
_generate_tts(
args.output_dir,
args.force,
voice_model,
voice_config,
)
if __name__ == "__main__":
main()

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#!/usr/bin/env python3
"""Produce a cube STL with CadQuery for the Lua scene to load."""
from __future__ import annotations
import argparse
from pathlib import Path
import cadquery as cq
from cadquery import exporters
def parse_args() -> argparse.Namespace:
parser = argparse.ArgumentParser(description="Generate a simple cube STL.")
parser.add_argument(
"--size",
type=float,
default=2.0,
help="Edge length of the cube in model units (default: 2.0 to match Lua cube bounds).",
)
parser.add_argument(
"-o",
"--output",
type=Path,
default=Path(__file__).parent / "models" / "cube.stl",
help="Path to write the ASCII STL file.",
)
return parser.parse_args()
def main() -> None:
args = parse_args()
args.output.parent.mkdir(parents=True, exist_ok=True)
cube = cq.Workplane("XY").box(args.size, args.size, args.size)
exporters.export(
cube,
str(args.output),
exportType=exporters.ExportTypes.STL,
opt={"ascii": True},
)
print(f"Wrote cube STL to {args.output}")
if __name__ == "__main__":
main()

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#!/usr/bin/env python3
"""
Lightweight package validator that walks the `packages/` tree for all `package.json` files,
checks their npm-style schema, validates referenced assets/workflows/shaders/scenes, and logs
missing folders and schema violations.
"""
from __future__ import annotations
import argparse
import json
import logging
import sys
from dataclasses import dataclass
from pathlib import Path
from typing import Callable, Iterable, Optional, Sequence
COMMON_FOLDERS = ("assets", "scene", "shaders", "workflows")
REQUIRED_FIELDS = ("name", "version", "description", "workflows", "defaultWorkflow")
FIELD_TO_FOLDER = {
"assets": "assets",
"scene": "scene",
"shaders": "shaders",
"workflows": "workflows",
}
PACKAGE_ALLOWED_KEYS = {
"name",
"version",
"description",
"defaultWorkflow",
"workflows",
"assets",
"scene",
"shaders",
"dependencies",
"bundled",
"notes",
}
logger = logging.getLogger("package_lint")
try:
from jsonschema import Draft202012Validator
except ImportError:
Draft202012Validator = None
@dataclass(frozen=True)
class WorkflowSchemaDefinition:
raw_schema: dict
top_level_keys: set[str]
required_top_keys: set[str]
node_keys: set[str]
node_required: set[str]
tag_keys: set[str]
tag_required: set[str]
settings_keys: set[str]
credential_ref_keys: set[str]
credential_ref_required: set[str]
credential_binding_keys: set[str]
credential_binding_required: set[str]
connection_types: set[str]
def load_json(path: Path) -> dict:
logger.debug("Reading JSON from %s", path)
with path.open("r", encoding="utf-8") as handle:
return json.load(handle)
def load_schema_from_roadmap(roadmap_path: Path) -> dict:
if not roadmap_path.exists():
raise FileNotFoundError(f"ROADMAP not found at {roadmap_path}")
lines = roadmap_path.read_text(encoding="utf-8").splitlines()
in_schema_section = False
in_block = False
schema_lines: list[str] = []
for line in lines:
if not in_schema_section:
if line.strip().lower() == "n8n style schema:":
in_schema_section = True
continue
if not in_block:
if line.strip().startswith("```json"):
in_block = True
continue
if line.strip().startswith("```"):
break
schema_lines.append(line)
if not schema_lines:
raise ValueError("Failed to locate n8n schema block in ROADMAP.md")
return json.loads("\n".join(schema_lines))
def build_schema_definition(schema: dict) -> WorkflowSchemaDefinition:
properties = schema.get("properties") or {}
required = schema.get("required") or []
defs = schema.get("$defs") or {}
node_def = defs.get("node") or {}
tag_def = defs.get("tag") or {}
settings_def = defs.get("workflowSettings") or {}
credential_ref_def = defs.get("credentialRef") or {}
credential_binding_def = defs.get("credentialBinding") or {}
connections_def = defs.get("nodeConnectionsByType") or {}
connection_types = set((connections_def.get("properties") or {}).keys())
return WorkflowSchemaDefinition(
raw_schema=schema,
top_level_keys=set(properties.keys()),
required_top_keys=set(required),
node_keys=set((node_def.get("properties") or {}).keys()),
node_required=set(node_def.get("required") or []),
tag_keys=set((tag_def.get("properties") or {}).keys()),
tag_required=set(tag_def.get("required") or []),
settings_keys=set((settings_def.get("properties") or {}).keys()),
credential_ref_keys=set((credential_ref_def.get("properties") or {}).keys()),
credential_ref_required=set(credential_ref_def.get("required") or []),
credential_binding_keys=set((credential_binding_def.get("properties") or {}).keys()),
credential_binding_required=set(credential_binding_def.get("required") or []),
connection_types=connection_types or {"main", "error"},
)
def check_paths(
root: Path,
entries: Iterable[str],
key: str,
on_exist: Optional[Callable[[Path, str], None]] = None,
) -> Sequence[str]:
"""Return list of missing files for the given key list and optionally call `on_exist` for existing items."""
missing = []
for rel in entries:
if not isinstance(rel, str):
missing.append(f"{rel!r} (not a string)")
continue
candidate = root / rel
logger.debug("Checking %s entry %s", key, candidate)
if not candidate.exists():
missing.append(str(rel))
continue
if on_exist:
on_exist(candidate, rel)
return missing
def _is_non_empty_string(value: object) -> bool:
return isinstance(value, str) and value.strip() != ""
def _is_number(value: object) -> bool:
return isinstance(value, (int, float)) and not isinstance(value, bool)
def _is_int(value: object) -> bool:
return isinstance(value, int) and not isinstance(value, bool)
def _validate_string_map(value: object, context: str) -> list[str]:
if not isinstance(value, dict):
return [f"{context} must be an object"]
issues: list[str] = []
for key, item in value.items():
if not _is_non_empty_string(key):
issues.append(f"{context} keys must be non-empty strings")
continue
if not _is_non_empty_string(item):
issues.append(f"{context}.{key} must map to a non-empty string")
return issues
def _validate_parameter_value(value: object, context: str) -> list[str]:
if isinstance(value, (str, bool, int, float)):
if isinstance(value, str) and value.strip() == "":
return [f"{context} must be a non-empty string"]
return []
if isinstance(value, list):
if not value:
return []
has_strings = any(isinstance(item, str) for item in value)
has_numbers = any(isinstance(item, (int, float)) for item in value)
has_other = any(not isinstance(item, (str, int, float)) for item in value)
if has_other:
return [f"{context} must contain only strings or numbers"]
if has_strings and has_numbers:
return [f"{context} cannot mix strings and numbers"]
if has_strings and any(item.strip() == "" for item in value if isinstance(item, str)):
return [f"{context} cannot contain empty strings"]
return []
return [f"{context} must be a string, number, bool, or array"]
def _validate_parameters(value: object) -> list[str]:
if not isinstance(value, dict):
return ["parameters must be an object"]
issues: list[str] = []
for key, item in value.items():
if not _is_non_empty_string(key):
issues.append("parameters keys must be non-empty strings")
continue
if key in {"inputs", "outputs"}:
issues.extend(_validate_string_map(item, f"parameters.{key}"))
continue
issues.extend(_validate_parameter_value(item, f"parameters.{key}"))
return issues
def _validate_tags(tags: object, schema_def: WorkflowSchemaDefinition) -> list[str]:
if not isinstance(tags, list):
return ["tags must be an array"]
issues: list[str] = []
for index, tag in enumerate(tags):
if not isinstance(tag, dict):
issues.append(f"tags[{index}] must be an object")
continue
extra_keys = set(tag.keys()) - schema_def.tag_keys
if extra_keys:
issues.append(f"tags[{index}] has unsupported keys: {sorted(extra_keys)}")
missing_keys = schema_def.tag_required - set(tag.keys())
if missing_keys:
issues.append(f"tags[{index}] missing required keys: {sorted(missing_keys)}")
name = tag.get("name")
if not _is_non_empty_string(name):
issues.append(f"tags[{index}].name must be a non-empty string")
if "id" in tag and not isinstance(tag["id"], (str, int)):
issues.append(f"tags[{index}].id must be a string or integer")
return issues
def _validate_settings(settings: object, schema_def: WorkflowSchemaDefinition) -> list[str]:
if not isinstance(settings, dict):
return ["settings must be an object"]
issues: list[str] = []
extra_keys = set(settings.keys()) - schema_def.settings_keys
if extra_keys:
issues.append(f"settings has unsupported keys: {sorted(extra_keys)}")
if "timezone" in settings and not _is_non_empty_string(settings["timezone"]):
issues.append("settings.timezone must be a non-empty string")
if "executionTimeout" in settings:
value = settings["executionTimeout"]
if not _is_int(value) or value < 0:
issues.append("settings.executionTimeout must be an integer >= 0")
for key in ("saveExecutionProgress", "saveManualExecutions"):
if key in settings and not isinstance(settings[key], bool):
issues.append(f"settings.{key} must be a boolean")
for key in ("saveDataErrorExecution", "saveDataSuccessExecution", "saveDataManualExecution"):
if key in settings:
value = settings[key]
if not _is_non_empty_string(value):
issues.append(f"settings.{key} must be a non-empty string")
elif value not in {"all", "none"}:
issues.append(f"settings.{key} must be 'all' or 'none'")
if "errorWorkflowId" in settings and not isinstance(settings["errorWorkflowId"], (str, int)):
issues.append("settings.errorWorkflowId must be a string or integer")
if "callerPolicy" in settings and not _is_non_empty_string(settings["callerPolicy"]):
issues.append("settings.callerPolicy must be a non-empty string")
return issues
def _validate_credential_ref(value: object, context: str, schema_def: WorkflowSchemaDefinition) -> list[str]:
if not isinstance(value, dict):
return [f"{context} must be an object"]
issues: list[str] = []
extra_keys = set(value.keys()) - schema_def.credential_ref_keys
if extra_keys:
issues.append(f"{context} has unsupported keys: {sorted(extra_keys)}")
missing = schema_def.credential_ref_required - set(value.keys())
if missing:
issues.append(f"{context} missing required keys: {sorted(missing)}")
if "id" in value and not isinstance(value["id"], (str, int)):
issues.append(f"{context}.id must be a string or integer")
if "name" in value and not _is_non_empty_string(value["name"]):
issues.append(f"{context}.name must be a non-empty string")
return issues
def _validate_credential_binding(value: object, index: int, schema_def: WorkflowSchemaDefinition) -> list[str]:
context = f"credentials[{index}]"
if not isinstance(value, dict):
return [f"{context} must be an object"]
issues: list[str] = []
extra_keys = set(value.keys()) - schema_def.credential_binding_keys
if extra_keys:
issues.append(f"{context} has unsupported keys: {sorted(extra_keys)}")
missing = schema_def.credential_binding_required - set(value.keys())
if missing:
issues.append(f"{context} missing required keys: {sorted(missing)}")
if "nodeId" in value and not _is_non_empty_string(value["nodeId"]):
issues.append(f"{context}.nodeId must be a non-empty string")
if "credentialType" in value and not _is_non_empty_string(value["credentialType"]):
issues.append(f"{context}.credentialType must be a non-empty string")
if "credentialId" in value and not isinstance(value["credentialId"], (str, int)):
issues.append(f"{context}.credentialId must be a string or integer")
return issues
def _validate_nodes(nodes: object, schema_def: WorkflowSchemaDefinition) -> tuple[list[str], list[str], list[str]]:
if not isinstance(nodes, list):
return ["nodes must be an array"], [], []
if not nodes:
return ["nodes must contain at least one node"], [], []
issues: list[str] = []
node_names: list[str] = []
node_ids: list[str] = []
seen_names: set[str] = set()
seen_ids: set[str] = set()
for index, node in enumerate(nodes):
if not isinstance(node, dict):
issues.append(f"nodes[{index}] must be an object")
continue
extra_keys = set(node.keys()) - schema_def.node_keys
if extra_keys:
issues.append(f"nodes[{index}] has unsupported keys: {sorted(extra_keys)}")
missing_keys = schema_def.node_required - set(node.keys())
if missing_keys:
issues.append(f"nodes[{index}] missing required keys: {sorted(missing_keys)}")
node_id = node.get("id")
if not _is_non_empty_string(node_id):
issues.append(f"nodes[{index}].id must be a non-empty string")
else:
if node_id in seen_ids:
issues.append(f"duplicate node id '{node_id}'")
seen_ids.add(node_id)
node_ids.append(node_id)
node_name = node.get("name")
if not _is_non_empty_string(node_name):
issues.append(f"nodes[{index}].name must be a non-empty string")
else:
if node_name in seen_names:
issues.append(f"duplicate node name '{node_name}'")
seen_names.add(node_name)
node_names.append(node_name)
node_type = node.get("type")
if not _is_non_empty_string(node_type):
issues.append(f"nodes[{index}].type must be a non-empty string")
version = node.get("typeVersion")
if version is not None:
if not _is_number(version) or version < 1:
issues.append(f"nodes[{index}].typeVersion must be a number >= 1")
position = node.get("position")
if position is not None:
if (not isinstance(position, list) or len(position) != 2 or
not all(_is_number(item) for item in position)):
issues.append(f"nodes[{index}].position must be [x, y] numbers")
for key in ("disabled", "notesInFlow", "retryOnFail", "continueOnFail",
"alwaysOutputData", "executeOnce"):
if key in node and not isinstance(node[key], bool):
issues.append(f"nodes[{index}].{key} must be a boolean")
if "notes" in node and not isinstance(node["notes"], str):
issues.append(f"nodes[{index}].notes must be a string")
if "maxTries" in node:
value = node["maxTries"]
if not _is_int(value) or value < 1:
issues.append(f"nodes[{index}].maxTries must be an integer >= 1")
if "waitBetweenTries" in node:
value = node["waitBetweenTries"]
if not _is_int(value) or value < 0:
issues.append(f"nodes[{index}].waitBetweenTries must be an integer >= 0")
if "parameters" in node:
issues.extend(_validate_parameters(node["parameters"]))
if "credentials" in node:
credentials = node["credentials"]
if not isinstance(credentials, dict):
issues.append(f"nodes[{index}].credentials must be an object")
else:
for cred_key, cred_value in credentials.items():
if not _is_non_empty_string(cred_key):
issues.append(f"nodes[{index}].credentials keys must be non-empty strings")
continue
issues.extend(
_validate_credential_ref(
cred_value,
f"nodes[{index}].credentials.{cred_key}",
schema_def,
)
)
if "webhookId" in node and not _is_non_empty_string(node["webhookId"]):
issues.append(f"nodes[{index}].webhookId must be a non-empty string")
if "onError" in node:
value = node["onError"]
allowed = {"stopWorkflow", "continueRegularOutput", "continueErrorOutput"}
if not _is_non_empty_string(value) or value not in allowed:
issues.append(f"nodes[{index}].onError must be one of {sorted(allowed)}")
return issues, node_names, node_ids
def _validate_connections(connections: object,
node_names: set[str],
schema_def: WorkflowSchemaDefinition) -> list[str]:
if not isinstance(connections, dict):
return ["connections must be an object"]
issues: list[str] = []
for from_node, link in connections.items():
if not _is_non_empty_string(from_node):
issues.append("connections keys must be non-empty strings")
continue
if from_node not in node_names:
issues.append(f"connections references unknown node '{from_node}'")
if not isinstance(link, dict):
issues.append(f"connections.{from_node} must be an object")
continue
extra_keys = set(link.keys()) - schema_def.connection_types
if extra_keys:
issues.append(f"connections.{from_node} has unsupported keys: {sorted(extra_keys)}")
if not any(key in link for key in schema_def.connection_types):
issues.append(f"connections.{from_node} must define at least one connection type")
for conn_type in schema_def.connection_types:
if conn_type not in link:
continue
index_map = link[conn_type]
if not isinstance(index_map, dict):
issues.append(f"connections.{from_node}.{conn_type} must be an object")
continue
for index_key, targets in index_map.items():
if not _is_non_empty_string(index_key) or not index_key.isdigit():
issues.append(
f"connections.{from_node}.{conn_type} index keys must be numeric strings"
)
continue
if not isinstance(targets, list):
issues.append(
f"connections.{from_node}.{conn_type}.{index_key} must be an array"
)
continue
for target_index, target in enumerate(targets):
context = f"connections.{from_node}.{conn_type}.{index_key}[{target_index}]"
if not isinstance(target, dict):
issues.append(f"{context} must be an object")
continue
extra_keys = set(target.keys()) - {"node", "type", "index"}
if extra_keys:
issues.append(f"{context} has unsupported keys: {sorted(extra_keys)}")
node_name = target.get("node")
if not _is_non_empty_string(node_name):
issues.append(f"{context}.node must be a non-empty string")
elif node_name not in node_names:
issues.append(f"{context} references unknown node '{node_name}'")
if "type" in target and not _is_non_empty_string(target["type"]):
issues.append(f"{context}.type must be a non-empty string")
if "index" in target:
index_value = target["index"]
if not _is_int(index_value) or index_value < 0:
issues.append(f"{context}.index must be an integer >= 0")
return issues
def validate_workflow_structure(workflow_path: Path,
content: dict,
schema_def: WorkflowSchemaDefinition) -> list[str]:
issues: list[str] = []
logger.debug("Validating workflow structure: %s", workflow_path)
extra_keys = set(content.keys()) - schema_def.top_level_keys
if extra_keys:
issues.append(f"unsupported workflow keys: {sorted(extra_keys)}")
missing_keys = schema_def.required_top_keys - set(content.keys())
if missing_keys:
issues.append(f"workflow missing required keys: {sorted(missing_keys)}")
if "name" in content and not _is_non_empty_string(content["name"]):
issues.append("workflow name must be a non-empty string")
if "id" in content and not isinstance(content["id"], (str, int)):
issues.append("workflow id must be a string or integer")
if "active" in content and not isinstance(content["active"], bool):
issues.append("workflow active must be a boolean")
for key in ("versionId", "createdAt", "updatedAt"):
if key in content and not isinstance(content[key], str):
issues.append(f"workflow {key} must be a string")
if "tags" in content:
issues.extend(_validate_tags(content["tags"], schema_def))
if "meta" in content and not isinstance(content["meta"], dict):
issues.append("workflow meta must be an object")
if "settings" in content:
issues.extend(_validate_settings(content["settings"], schema_def))
if "pinData" in content:
pin_data = content["pinData"]
if not isinstance(pin_data, dict):
issues.append("workflow pinData must be an object")
else:
for pin_key, pin_value in pin_data.items():
if not _is_non_empty_string(pin_key):
issues.append("workflow pinData keys must be non-empty strings")
continue
if not isinstance(pin_value, list):
issues.append(f"workflow pinData.{pin_key} must be an array")
continue
for entry_index, entry in enumerate(pin_value):
if not isinstance(entry, dict):
issues.append(f"workflow pinData.{pin_key}[{entry_index}] must be an object")
if "staticData" in content and not isinstance(content["staticData"], dict):
issues.append("workflow staticData must be an object")
node_issues: list[str] = []
node_names: list[str] = []
node_ids: list[str] = []
if "nodes" in content:
node_issues, node_names, node_ids = _validate_nodes(content["nodes"], schema_def)
issues.extend(node_issues)
if "connections" in content:
issues.extend(_validate_connections(content["connections"], set(node_names), schema_def))
if "credentials" in content:
credentials = content["credentials"]
if not isinstance(credentials, list):
issues.append("workflow credentials must be an array")
else:
for index, entry in enumerate(credentials):
issues.extend(_validate_credential_binding(entry, index, schema_def))
if node_ids and "credentials" in content and isinstance(content.get("credentials"), list):
known_ids = set(node_ids)
for index, entry in enumerate(content.get("credentials", [])):
if isinstance(entry, dict) and "nodeId" in entry:
node_id = entry["nodeId"]
if isinstance(node_id, str) and node_id not in known_ids:
issues.append(
f"credentials[{index}].nodeId references unknown node id '{node_id}'"
)
return issues
def validate_workflow(workflow_path: Path,
validator: Optional["Draft202012Validator"],
schema_def: WorkflowSchemaDefinition) -> list[str]:
try:
content = load_json(workflow_path)
except json.JSONDecodeError as exc:
return [f"invalid JSON: {exc}"]
issues: list[str] = []
if validator:
for err in sorted(
validator.iter_errors(content),
key=lambda x: tuple(x.absolute_path),
):
pointer = "/".join(str(part) for part in err.absolute_path) or "<root>"
issues.append(f"schema violation at {pointer}: {err.message}")
issues.extend(validate_workflow_structure(workflow_path, content, schema_def))
return issues
def validate_package(
pkg_root: Path,
pkg_data: dict,
registry_names: Sequence[str],
available_dirs: Sequence[str],
workflow_schema_validator: Optional["Draft202012Validator"],
workflow_schema_def: WorkflowSchemaDefinition,
) -> tuple[list[str], list[str]]:
errors: list[str] = []
warnings: list[str] = []
logger.debug("Validating %s", pkg_root)
extra_package_keys = set(pkg_data.keys()) - PACKAGE_ALLOWED_KEYS
if extra_package_keys:
warnings.append(f"unknown package keys: {sorted(extra_package_keys)}")
for field in REQUIRED_FIELDS:
if field not in pkg_data:
errors.append(f"missing required field `{field}`")
workflows = pkg_data.get("workflows")
default_workflow = pkg_data.get("defaultWorkflow")
if workflows is not None:
if not isinstance(workflows, list):
errors.append("`workflows` must be an array")
elif not workflows:
errors.append("`workflows` must include at least one entry")
elif default_workflow and default_workflow not in workflows:
errors.append("`defaultWorkflow` is not present in `workflows` array")
if "name" in pkg_data and not _is_non_empty_string(pkg_data["name"]):
errors.append("`name` must be a non-empty string")
if "version" in pkg_data and not _is_non_empty_string(pkg_data["version"]):
errors.append("`version` must be a non-empty string")
if "description" in pkg_data and not _is_non_empty_string(pkg_data["description"]):
errors.append("`description` must be a non-empty string")
if default_workflow is not None and not _is_non_empty_string(default_workflow):
errors.append("`defaultWorkflow` must be a non-empty string")
if _is_non_empty_string(default_workflow):
candidate = pkg_root / default_workflow
if not candidate.exists():
errors.append(f"`defaultWorkflow` does not exist: {default_workflow}")
if "bundled" in pkg_data and not isinstance(pkg_data["bundled"], bool):
errors.append("`bundled` must be a boolean")
if "notes" in pkg_data and not _is_non_empty_string(pkg_data["notes"]):
warnings.append("`notes` should be a non-empty string when present")
# schema-like validations
for key in ("workflows", "assets", "scene", "shaders"):
value = pkg_data.get(key)
if value is None:
continue
if not isinstance(value, list):
errors.append(f"`{key}` must be an array if present")
continue
if not value and key == "workflows":
errors.append("`workflows` must include at least one entry")
for entry in value:
if not isinstance(entry, str):
errors.append(f"`{key}` entries must be strings")
on_exist: Optional[Callable[[Path, str], None]] = None
if key == "workflows":
def on_exist(candidate: Path, rel: str) -> None:
schema_issues = validate_workflow(candidate,
workflow_schema_validator,
workflow_schema_def)
for issue in schema_issues:
errors.append(f"workflow `{rel}`: {issue}")
def validate_entry(entry: str) -> None:
if ".." in Path(entry).parts:
errors.append(f"`{key}` entry '{entry}' must not contain '..'")
if entry.strip() == "":
errors.append(f"`{key}` entries must be non-empty strings")
if key == "workflows" and not entry.endswith(".json"):
errors.append(f"`workflows` entry '{entry}' must be a .json file")
if entry.endswith(".json"):
try:
load_json(pkg_root / entry)
except json.JSONDecodeError as exc:
errors.append(f"`{key}` entry '{entry}' invalid JSON: {exc}")
for entry in value:
if isinstance(entry, str):
validate_entry(entry)
missing = check_paths(pkg_root, value, key, on_exist=on_exist)
if missing:
warnings.append(f"{key} entries not found: {missing}")
string_entries = [entry for entry in value if isinstance(entry, str)]
if len(set(string_entries)) != len(string_entries):
warnings.append(f"`{key}` entries contain duplicates")
# dependencies validation
deps = pkg_data.get("dependencies", [])
if deps is None:
deps = []
if not isinstance(deps, list):
errors.append("`dependencies` must be an array")
else:
known_names = set(registry_names)
known_names.update(available_dirs)
for dep in deps:
if not _is_non_empty_string(dep):
errors.append("`dependencies` entries must be non-empty strings")
continue
if dep == pkg_data.get("name"):
errors.append("`dependencies` cannot include the package itself")
if dep not in known_names:
warnings.append(f"dependency `{dep}` is not known in registry")
dep_strings = [dep for dep in deps if isinstance(dep, str)]
if len(set(dep_strings)) != len(dep_strings):
warnings.append("`dependencies` contains duplicates")
# common folder existence
for field, folder in FIELD_TO_FOLDER.items():
entries = pkg_data.get(field) or []
if entries and not (pkg_root / folder).exists():
warnings.append(f"common folder `{folder}` referenced but missing")
return errors, warnings
def main() -> int:
parser = argparse.ArgumentParser(description="Validate package metadata and assets.")
parser.add_argument(
"--packages-root",
type=Path,
default=Path("packages"),
help="Root folder containing package directories",
)
parser.add_argument(
"--roadmap",
type=Path,
default=Path("ROADMAP.md"),
help="Path to ROADMAP containing the n8n workflow schema",
)
parser.add_argument(
"--workflow-schema",
type=Path,
help="Optional workflow JSON schema override",
)
parser.add_argument(
"--verbose",
action="store_true",
help="Enable debug logging for tracing validation steps",
)
args = parser.parse_args()
logging.basicConfig(
format="%(levelname)s: %(message)s",
level=logging.DEBUG if args.verbose else logging.INFO,
)
if not args.packages_root.exists():
logger.error("packages root %s does not exist", args.packages_root)
return 2
schema_candidate = args.workflow_schema
if schema_candidate is None:
schema_candidate = args.roadmap
workflow_schema: Optional[dict] = None
if schema_candidate:
if not schema_candidate.exists():
logger.error("specified workflow schema source %s not found", schema_candidate)
return 5
try:
workflow_schema = (
load_json(schema_candidate)
if schema_candidate.suffix == ".json"
else load_schema_from_roadmap(schema_candidate)
)
except (json.JSONDecodeError, ValueError, FileNotFoundError) as exc:
logger.error("invalid workflow schema source %s: %s", schema_candidate, exc)
return 6
if not workflow_schema:
logger.error("workflow schema could not be loaded")
return 7
workflow_schema_def = build_schema_definition(workflow_schema)
workflow_validator: Optional["Draft202012Validator"] = None
if Draft202012Validator is None:
logger.warning("jsonschema dependency not installed; skipping JSON Schema validation")
else:
try:
workflow_validator = Draft202012Validator(workflow_schema)
except Exception as exc:
logger.error("failed to compile workflow schema: %s", exc)
return 8
logger.info("workflow schema loaded from %s", schema_candidate)
package_dirs = [
child
for child in sorted(args.packages_root.iterdir())
if child.is_dir() and (child / "package.json").exists()
]
if not package_dirs:
logger.warning("no package directories with package.json found under %s", args.packages_root)
loaded_packages: list[tuple[Path, dict]] = []
summary_errors = 0
summary_warnings = 0
for pkg_root in package_dirs:
pkg_json_file = pkg_root / "package.json"
try:
pkg_data = load_json(pkg_json_file)
except json.JSONDecodeError as exc:
logger.error("invalid JSON in %s: %s", pkg_json_file, exc)
summary_errors += 1
continue
loaded_packages.append((pkg_root, pkg_data))
registry_names = [
pkg_data.get("name")
for _, pkg_data in loaded_packages
if isinstance(pkg_data.get("name"), str)
]
available_dirs = [entry.name for entry in args.packages_root.iterdir() if entry.is_dir()]
for pkg_root, pkg_data in loaded_packages:
pkg_json_file = pkg_root / "package.json"
errors, warnings = validate_package(
pkg_root,
pkg_data,
registry_names,
available_dirs,
workflow_validator,
workflow_schema_def,
)
for err in errors:
logger.error("%s: %s", pkg_json_file, err)
for warn in warnings:
logger.warning("%s: %s", pkg_json_file, warn)
summary_errors += len(errors)
summary_warnings += len(warnings)
logger.info("lint complete: %d errors, %d warnings", summary_errors, summary_warnings)
return 1 if summary_errors else 0
if __name__ == "__main__":
sys.exit(main())