bmad 6.11

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2026-08-14 17:08:24 +02:00
parent 0edaef0be7
commit 373857c868
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#!/usr/bin/env python3
# /// script
# requires-python = ">=3.11"
# ///
"""Render a skill's Markdown sources into an immutable project snapshot."""
from __future__ import annotations
import argparse
import hashlib
import json
import os
import re
import shutil
import sys
import tempfile
from pathlib import Path
from typing import Any
# Installed scripts are consumer files, not a location for interpreter caches.
sys.dont_write_bytecode = True
from config_utils import ConfigError, load_central_config, load_customization, load_toml
class RenderError(ValueError):
"""Raised when rendering cannot safely publish a snapshot."""
_CONFIG_TOKEN = re.compile(r"\{\{config\.([A-Za-z0-9_.-]+)\}\}")
_SHORT_CONFIG_TOKEN = re.compile(r"\{\{\.([A-Za-z0-9_]+)\}\}")
_CUSTOM_TOKEN = re.compile(r"\{workflow\.([A-Za-z0-9_.-]+)\}")
_SNAPSHOT_TOKEN = re.compile(r"\[\[bmad-snapshot:([A-Za-z0-9_./-]+\.md)\]\]")
def _hash_bytes(content: bytes) -> str:
return hashlib.sha256(content).hexdigest()
def _canonical_json(value: Any) -> bytes:
return json.dumps(
value, ensure_ascii=False, sort_keys=True, separators=(",", ":")
).encode("utf-8")
def _lookup(data: dict[str, Any], dotted_path: str, label: str) -> Any:
current: Any = data
for part in dotted_path.split("."):
if not isinstance(current, dict) or part not in current:
raise RenderError(f"missing {label} `{dotted_path}`")
current = current[part]
return current
def _require_string(value: Any, label: str, *, allow_empty: bool = False) -> str:
if not isinstance(value, str):
raise RenderError(f"{label} must be a string, got {type(value).__name__}")
if not allow_empty and not value.strip():
raise RenderError(f"{label} must not be empty")
return value
def _require_string_list(value: Any, label: str) -> list[str]:
if not isinstance(value, list):
raise RenderError(f"{label} must be a list, got {type(value).__name__}")
result = []
for index, item in enumerate(value):
result.append(_require_string(item, f"{label}[{index}]"))
return result
def _require_review_layers(value: Any, label: str) -> list[dict[str, str]]:
if not isinstance(value, list):
raise RenderError(f"{label} must be a list of tables")
result: list[dict[str, str]] = []
seen: set[str] = set()
for index, item in enumerate(value):
item_label = f"{label}[{index}]"
if not isinstance(item, dict):
raise RenderError(f"{item_label} must be a table")
identifier = _require_string(item.get("id"), f"{item_label}.id")
if identifier in seen:
raise RenderError(f"duplicate review layer id `{identifier}`")
seen.add(identifier)
layer = {
"id": identifier,
"name": _require_string(item.get("name", identifier), f"{item_label}.name"),
"instruction": _require_string(
item.get("instruction"), f"{item_label}.instruction", allow_empty=True
),
}
if "when" in item:
layer["when"] = _require_string(item["when"], f"{item_label}.when")
result.append(layer)
return result
def _load_sources(skill_dir: Path) -> dict[str, str]:
sources: dict[str, str] = {}
for candidate in sorted(skill_dir.rglob("*.md")):
if candidate.name == "SKILL.md":
continue
name = candidate.relative_to(skill_dir).as_posix()
path = candidate.resolve(strict=True)
if not path.is_relative_to(skill_dir):
raise RenderError(f"render source escapes skill directory: {name}")
if not path.is_file():
raise RenderError(f"render source is missing or not a file: {path}")
try:
sources[name] = path.read_text(encoding="utf-8")
except (OSError, UnicodeError) as error:
raise RenderError(f"failed to read render source {path}: {error}") from error
if "workflow.md" not in sources:
raise RenderError(f"render entry is missing: {skill_dir / 'workflow.md'}")
return sources
def _resolve_config_value(value: Any, label: str, project_root: Path) -> str:
text = _require_string(value, label)
if "{project-root}" not in text:
return text
resolved = text.replace("{project-root}", str(project_root))
if not Path(resolved).is_absolute():
raise RenderError(f"{label} must resolve to an absolute path: {resolved}")
return resolved
def _find_config_values(data: Any, key: str, prefix: str = "") -> list[tuple[str, Any]]:
matches: list[tuple[str, Any]] = []
if not isinstance(data, dict):
return matches
for name, value in data.items():
path = f"{prefix}.{name}" if prefix else name
if name == key and not isinstance(value, (dict, list)):
matches.append((path, value))
matches.extend(_find_config_values(value, key, path))
return matches
def _resolve_short_config(
central: dict[str, Any], key: str, project_root: Path
) -> tuple[str, str]:
matches = _find_config_values(central, key)
if not matches:
raise RenderError(f"missing config value `{key}`")
if len(matches) > 1:
paths = ", ".join(path for path, _ in matches)
raise RenderError(f"ambiguous config value `{key}` found at: {paths}")
path, value = matches[0]
return path, _resolve_config_value(value, f"config.{path}", project_root)
def _format_markdown_list(items: list[str]) -> str:
if not items:
return "_None._"
rendered = []
for item in items:
lines = item.splitlines() or [""]
rendered.append("- " + lines[0])
rendered.extend(" " + line for line in lines[1:])
return "\n".join(rendered)
def _format_review_layers(layers: list[dict[str, str]]) -> str:
active = [layer for layer in layers if layer["instruction"].strip()]
if not active:
return "No active review layers. HALT with blocking condition `no active review layers`."
sections = []
for layer in active:
section = [f"#### {layer['name']} (`{layer['id']}`)"]
if layer.get("when"):
section.extend(["", f"Run only when: {layer['when']}"])
section.extend(["", layer["instruction"].strip()])
sections.append("\n".join(section))
return "\n\n".join(sections)
def _resolve_customization_value(value: Any, default: Any, label: str) -> tuple[Any, str]:
if isinstance(default, str):
allow_empty = not default.strip() or label == "customization.workflow.open_spec"
resolved = _require_string(value, label, allow_empty=allow_empty)
return resolved, resolved
if isinstance(default, list):
if default and all(isinstance(item, dict) for item in default):
resolved = _require_review_layers(value, label)
return resolved, _format_review_layers(resolved)
resolved = _require_string_list(value, label)
return resolved, _format_markdown_list(resolved)
raise RenderError(f"{label} has unsupported default type {type(default).__name__}")
def _resolve_replacements(
sources: dict[str, str],
central: dict[str, Any],
customization: dict[str, Any],
defaults: dict[str, Any] | None,
project_root: Path,
) -> tuple[dict[str, str], dict[str, Any]]:
replacements: dict[str, str] = {}
input_values: dict[str, Any] = {}
for content in sources.values():
for match in _SHORT_CONFIG_TOKEN.finditer(content):
token, key = match.group(0), match.group(1)
path, resolved = _resolve_short_config(central, key, project_root)
source = f"config.{path}"
replacements[token] = resolved
input_values[source] = resolved
for match in _CONFIG_TOKEN.finditer(content):
token, path = match.group(0), match.group(1)
source = f"config.{path}"
resolved = _resolve_config_value(
_lookup(central, path, "config value"), source, project_root
)
replacements[token] = resolved
input_values[source] = resolved
for match in _CUSTOM_TOKEN.finditer(content):
if defaults is None:
raise RenderError("customization tokens require customize.toml")
token, relative_path = match.group(0), match.group(1)
path = f"workflow.{relative_path}"
source = f"customization.{path}"
resolved, rendered = _resolve_customization_value(
_lookup(customization, path, "customization value"),
_lookup(defaults, path, "customization default"),
source,
)
replacements[token] = rendered
input_values[source] = resolved
return replacements, input_values
def _render_sources(
sources: dict[str, str], replacements: dict[str, str], destination: Path
) -> dict[str, str]:
"""Resolve only tokens authored in installed sources in one opaque pass."""
# Workflow customization may reference installed skill files; bind those
# references to the immutable generation before inserting the prose.
replacements = {
token: value.replace("{skill-root}", str(destination))
if token.startswith("{workflow.")
else value
for token, value in replacements.items()
}
source_names = set(sources)
patterns = [
*(re.escape(token) for token in sorted(replacements, key=len, reverse=True)),
_SNAPSHOT_TOKEN.pattern,
]
token_pattern = re.compile("|".join(patterns))
def replace(match: re.Match[str]) -> str:
token = match.group(0)
if token in replacements:
return replacements[token]
snapshot = _SNAPSHOT_TOKEN.fullmatch(token)
if snapshot is None:
raise RenderError(f"unsupported render token: {token}")
target = snapshot.group(1)
if target not in source_names:
raise RenderError(f"snapshot reference targets undeclared source: {target}")
return str(destination / target)
rendered: dict[str, str] = {}
for name, content in sources.items():
# Inserted paths and customization prose are never scanned as source tokens.
rendered[name] = token_pattern.sub(replace, content)
return rendered
def _verify_existing(destination: Path, manifest: dict[str, Any]) -> None:
manifest_path = destination / "manifest.json"
try:
existing = json.loads(manifest_path.read_text(encoding="utf-8"))
except (OSError, UnicodeError, json.JSONDecodeError) as error:
raise RenderError(f"corrupt existing generation {destination}: {error}") from error
if existing != manifest:
raise RenderError(f"generation collision or corruption at {destination}")
expected_files = set(manifest["outputs"]) | {"manifest.json"}
actual_files = {
path.relative_to(destination).as_posix()
for path in destination.rglob("*")
if path.is_file()
}
if actual_files != expected_files:
raise RenderError(f"generation contains unexpected or missing files: {destination}")
for name, expected_hash in manifest["outputs"].items():
try:
actual_hash = _hash_bytes((destination / name).read_bytes())
except OSError as error:
raise RenderError(f"failed to verify {destination / name}: {error}") from error
if actual_hash != expected_hash:
raise RenderError(f"generation output hash mismatch: {destination / name}")
def _publish(destination: Path, outputs: dict[str, bytes], manifest: dict[str, Any]) -> None:
destination.parent.mkdir(parents=True, exist_ok=True)
if destination.exists():
_verify_existing(destination, manifest)
return
staging = Path(tempfile.mkdtemp(prefix=".staging-", dir=destination.parent))
try:
for name, content in outputs.items():
path = staging / name
path.parent.mkdir(parents=True, exist_ok=True)
path.write_bytes(content)
(staging / "manifest.json").write_bytes(
json.dumps(manifest, ensure_ascii=False, indent=2, sort_keys=True).encode("utf-8")
+ b"\n"
)
try:
os.rename(staging, destination)
except OSError:
if destination.exists():
_verify_existing(destination, manifest)
else:
raise
finally:
if staging.exists():
shutil.rmtree(staging, ignore_errors=True)
def render(project_root: Path, skill_dir: Path) -> Path:
project_root = project_root.resolve(strict=True)
skill_dir = skill_dir.resolve(strict=True)
if not (project_root / "_bmad").is_dir():
raise RenderError(f"project root does not contain _bmad/: {project_root}")
sources = _load_sources(skill_dir)
central = load_central_config(project_root)
has_customization = any(
_CUSTOM_TOKEN.search(content) for content in sources.values()
)
defaults = (
load_toml(skill_dir / "customize.toml", required=True)
if has_customization
else None
)
customization = (
load_customization(project_root, skill_dir) if has_customization else {}
)
replacements, input_values = _resolve_replacements(
sources, central, customization, defaults, project_root
)
source_hashes = {
name: _hash_bytes(content.encode("utf-8")) for name, content in sources.items()
}
root_hash = _hash_bytes(str(project_root).encode("utf-8"))[:12]
slug = re.sub(r"[^a-z0-9]+", "-", project_root.name.lower()).strip("-") or "project"
slug = slug[:80].rstrip("-") or "project"
renderer_hash = _hash_bytes(Path(__file__).read_bytes())
identity = {
"project_root": str(project_root),
"renderer_sha256": renderer_hash,
"resolved_values": input_values,
"source_sha256": source_hashes,
}
generation_hash = _hash_bytes(_canonical_json(identity))[:20]
destination = (
project_root
/ "_bmad"
/ "render"
/ skill_dir.name
/ f"{slug}-{root_hash}"
/ generation_hash
)
rendered = _render_sources(sources, replacements, destination)
outputs = {name: content.encode("utf-8") for name, content in rendered.items()}
output_hashes = {name: _hash_bytes(content) for name, content in outputs.items()}
manifest = {
"schema_version": 1,
"skill": skill_dir.name,
"project_root": str(project_root),
"project_slug": slug,
"root_hash": root_hash,
"generation_hash": generation_hash,
"inputs": identity,
"outputs": output_hashes,
}
_publish(destination, outputs, manifest)
return destination / "workflow.md"
def main() -> int:
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("--project-root", required=True)
parser.add_argument("--skill", required=True)
args = parser.parse_args()
reconfigure = getattr(sys.stdout, "reconfigure", None)
if reconfigure is not None:
reconfigure(encoding="utf-8")
try:
entry = render(Path(args.project_root), Path(args.skill))
except (ConfigError, RenderError, OSError, UnicodeError, ValueError) as error:
sys.stdout.write(f"HALT: {error}\n")
return 1
sys.stdout.write(f"read and follow {entry}\n")
return 0
if __name__ == "__main__":
raise SystemExit(main())