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Keep/.agent/skills/bmad-bmb-setup/scripts/merge-config.py

409 lines
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Python
Executable File

#!/usr/bin/env python3
# /// script
# requires-python = ">=3.9"
# dependencies = ["pyyaml"]
# ///
"""Merge module configuration into shared _bmad/config.yaml and config.user.yaml.
Reads a module.yaml definition and a JSON answers file, then writes or updates
the shared config.yaml (core values at root + module section) and config.user.yaml
(user_name, communication_language, plus any module variable with user_setting: true).
Uses an anti-zombie pattern for the module section in config.yaml.
Legacy migration: when --legacy-dir is provided, reads old per-module config files
from {legacy-dir}/{module-code}/config.yaml and {legacy-dir}/core/config.yaml.
Matching values serve as fallback defaults (answers override them). After a
successful merge, the legacy config.yaml files are deleted. Only the current
module and core directories are touched — other module directories are left alone.
Exit codes: 0=success, 1=validation error, 2=runtime error
"""
import argparse
import json
import sys
from pathlib import Path
try:
import yaml
except ImportError:
print("Error: pyyaml is required (PEP 723 dependency)", file=sys.stderr)
sys.exit(2)
def parse_args():
parser = argparse.ArgumentParser(
description="Merge module config into shared _bmad/config.yaml with anti-zombie pattern."
)
parser.add_argument(
"--config-path",
required=True,
help="Path to the target _bmad/config.yaml file",
)
parser.add_argument(
"--module-yaml",
required=True,
help="Path to the module.yaml definition file",
)
parser.add_argument(
"--answers",
required=True,
help="Path to JSON file with collected answers",
)
parser.add_argument(
"--user-config-path",
required=True,
help="Path to the target _bmad/config.user.yaml file",
)
parser.add_argument(
"--legacy-dir",
help="Path to _bmad/ directory to check for legacy per-module config files. "
"Matching values are used as fallback defaults, then legacy files are deleted.",
)
parser.add_argument(
"--verbose",
action="store_true",
help="Print detailed progress to stderr",
)
return parser.parse_args()
def load_yaml_file(path: str) -> dict:
"""Load a YAML file, returning empty dict if file doesn't exist."""
file_path = Path(path)
if not file_path.exists():
return {}
with open(file_path, "r", encoding="utf-8") as f:
content = yaml.safe_load(f)
return content if content else {}
def load_json_file(path: str) -> dict:
"""Load a JSON file."""
with open(path, "r", encoding="utf-8") as f:
return json.load(f)
# Keys that live at config root (shared across all modules)
_CORE_KEYS = frozenset(
{"user_name", "communication_language", "document_output_language", "output_folder"}
)
def load_legacy_values(
legacy_dir: str, module_code: str, module_yaml: dict, verbose: bool = False
) -> tuple[dict, dict, list]:
"""Read legacy per-module config files and return core/module value dicts.
Reads {legacy_dir}/core/config.yaml and {legacy_dir}/{module_code}/config.yaml.
Only returns values whose keys match the current schema (core keys or module.yaml
variable definitions). Other modules' directories are not touched.
Returns:
(legacy_core, legacy_module, files_found) where files_found lists paths read.
"""
legacy_core: dict = {}
legacy_module: dict = {}
files_found: list = []
# Read core legacy config
core_path = Path(legacy_dir) / "core" / "config.yaml"
if core_path.exists():
core_data = load_yaml_file(str(core_path))
files_found.append(str(core_path))
for k, v in core_data.items():
if k in _CORE_KEYS:
legacy_core[k] = v
if verbose:
print(f"Legacy core config: {list(legacy_core.keys())}", file=sys.stderr)
# Read module legacy config
mod_path = Path(legacy_dir) / module_code / "config.yaml"
if mod_path.exists():
mod_data = load_yaml_file(str(mod_path))
files_found.append(str(mod_path))
for k, v in mod_data.items():
if k in _CORE_KEYS:
# Core keys duplicated in module config — only use if not already set
if k not in legacy_core:
legacy_core[k] = v
elif k in module_yaml and isinstance(module_yaml[k], dict):
# Module-specific key that matches a current variable definition
legacy_module[k] = v
if verbose:
print(
f"Legacy module config: {list(legacy_module.keys())}", file=sys.stderr
)
return legacy_core, legacy_module, files_found
def apply_legacy_defaults(answers: dict, legacy_core: dict, legacy_module: dict) -> dict:
"""Apply legacy values as fallback defaults under the answers.
Legacy values fill in any key not already present in answers.
Explicit answers always win.
"""
merged = dict(answers)
if legacy_core:
core = merged.get("core", {})
filled_core = dict(legacy_core) # legacy as base
filled_core.update(core) # answers override
merged["core"] = filled_core
if legacy_module:
mod = merged.get("module", {})
filled_mod = dict(legacy_module) # legacy as base
filled_mod.update(mod) # answers override
merged["module"] = filled_mod
return merged
def cleanup_legacy_configs(
legacy_dir: str, module_code: str, verbose: bool = False
) -> list:
"""Delete legacy config.yaml files for this module and core only.
Returns list of deleted file paths.
"""
deleted = []
for subdir in (module_code, "core"):
legacy_path = Path(legacy_dir) / subdir / "config.yaml"
if legacy_path.exists():
if verbose:
print(f"Deleting legacy config: {legacy_path}", file=sys.stderr)
legacy_path.unlink()
deleted.append(str(legacy_path))
return deleted
def extract_module_metadata(module_yaml: dict) -> dict:
"""Extract non-variable metadata fields from module.yaml."""
meta = {}
for k in ("name", "description"):
if k in module_yaml:
meta[k] = module_yaml[k]
meta["version"] = module_yaml.get("module_version") # null if absent
if "default_selected" in module_yaml:
meta["default_selected"] = module_yaml["default_selected"]
return meta
def apply_result_templates(
module_yaml: dict, module_answers: dict, verbose: bool = False
) -> dict:
"""Apply result templates from module.yaml to transform raw answer values.
For each answer, if the corresponding variable definition in module.yaml has
a 'result' field, replaces {value} in that template with the answer. Skips
the template if the answer already contains '{project-root}' to prevent
double-prefixing.
"""
transformed = {}
for key, value in module_answers.items():
var_def = module_yaml.get(key)
if (
isinstance(var_def, dict)
and "result" in var_def
and "{project-root}" not in str(value)
):
template = var_def["result"]
transformed[key] = template.replace("{value}", str(value))
if verbose:
print(
f"Applied result template for '{key}': {value}{transformed[key]}",
file=sys.stderr,
)
else:
transformed[key] = value
return transformed
def merge_config(
existing_config: dict,
module_yaml: dict,
answers: dict,
verbose: bool = False,
) -> dict:
"""Merge answers into config, applying anti-zombie pattern.
Args:
existing_config: Current config.yaml contents (may be empty)
module_yaml: The module definition
answers: JSON with 'core' and/or 'module' keys
verbose: Print progress to stderr
Returns:
Updated config dict ready to write
"""
config = dict(existing_config)
module_code = module_yaml.get("code")
if not module_code:
print("Error: module.yaml must have a 'code' field", file=sys.stderr)
sys.exit(1)
# Migrate legacy core: section to root
if "core" in config and isinstance(config["core"], dict):
if verbose:
print("Migrating legacy 'core' section to root", file=sys.stderr)
config.update(config.pop("core"))
# Strip user-only keys from config — they belong exclusively in config.user.yaml
for key in _CORE_USER_KEYS:
if key in config:
if verbose:
print(f"Removing user-only key '{key}' from config (belongs in config.user.yaml)", file=sys.stderr)
del config[key]
# Write core values at root (global properties, not nested under "core")
# Exclude user-only keys — those belong exclusively in config.user.yaml
core_answers = answers.get("core")
if core_answers:
shared_core = {k: v for k, v in core_answers.items() if k not in _CORE_USER_KEYS}
if shared_core:
if verbose:
print(f"Writing core config at root: {list(shared_core.keys())}", file=sys.stderr)
config.update(shared_core)
# Anti-zombie: remove existing module section
if module_code in config:
if verbose:
print(
f"Removing existing '{module_code}' section (anti-zombie)",
file=sys.stderr,
)
del config[module_code]
# Build module section: metadata + variable values
module_section = extract_module_metadata(module_yaml)
module_answers = apply_result_templates(
module_yaml, answers.get("module", {}), verbose
)
module_section.update(module_answers)
if verbose:
print(
f"Writing '{module_code}' section with keys: {list(module_section.keys())}",
file=sys.stderr,
)
config[module_code] = module_section
return config
# Core keys that are always written to config.user.yaml
_CORE_USER_KEYS = ("user_name", "communication_language")
def extract_user_settings(module_yaml: dict, answers: dict) -> dict:
"""Collect settings that belong in config.user.yaml.
Includes user_name and communication_language from core answers, plus any
module variable whose definition contains user_setting: true.
"""
user_settings = {}
core_answers = answers.get("core", {})
for key in _CORE_USER_KEYS:
if key in core_answers:
user_settings[key] = core_answers[key]
module_answers = answers.get("module", {})
for var_name, var_def in module_yaml.items():
if isinstance(var_def, dict) and var_def.get("user_setting") is True:
if var_name in module_answers:
user_settings[var_name] = module_answers[var_name]
return user_settings
def write_config(config: dict, config_path: str, verbose: bool = False) -> None:
"""Write config dict to YAML file, creating parent dirs as needed."""
path = Path(config_path)
path.parent.mkdir(parents=True, exist_ok=True)
if verbose:
print(f"Writing config to {path}", file=sys.stderr)
with open(path, "w", encoding="utf-8") as f:
yaml.dump(
config,
f,
default_flow_style=False,
allow_unicode=True,
sort_keys=False,
)
def main():
args = parse_args()
# Load inputs
module_yaml = load_yaml_file(args.module_yaml)
if not module_yaml:
print(f"Error: Could not load module.yaml from {args.module_yaml}", file=sys.stderr)
sys.exit(1)
answers = load_json_file(args.answers)
existing_config = load_yaml_file(args.config_path)
if args.verbose:
exists = Path(args.config_path).exists()
print(f"Config file exists: {exists}", file=sys.stderr)
if exists:
print(f"Existing sections: {list(existing_config.keys())}", file=sys.stderr)
# Legacy migration: read old per-module configs as fallback defaults
legacy_files_found = []
if args.legacy_dir:
module_code = module_yaml.get("code", "")
legacy_core, legacy_module, legacy_files_found = load_legacy_values(
args.legacy_dir, module_code, module_yaml, args.verbose
)
if legacy_core or legacy_module:
answers = apply_legacy_defaults(answers, legacy_core, legacy_module)
if args.verbose:
print("Applied legacy values as fallback defaults", file=sys.stderr)
# Merge and write config.yaml
updated_config = merge_config(existing_config, module_yaml, answers, args.verbose)
write_config(updated_config, args.config_path, args.verbose)
# Merge and write config.user.yaml
user_settings = extract_user_settings(module_yaml, answers)
existing_user_config = load_yaml_file(args.user_config_path)
updated_user_config = dict(existing_user_config)
updated_user_config.update(user_settings)
if user_settings:
write_config(updated_user_config, args.user_config_path, args.verbose)
# Legacy cleanup: delete old per-module config files
legacy_deleted = []
if args.legacy_dir:
legacy_deleted = cleanup_legacy_configs(
args.legacy_dir, module_yaml["code"], args.verbose
)
# Output result summary as JSON
module_code = module_yaml["code"]
result = {
"status": "success",
"config_path": str(Path(args.config_path).resolve()),
"user_config_path": str(Path(args.user_config_path).resolve()),
"module_code": module_code,
"core_updated": bool(answers.get("core")),
"module_keys": list(updated_config.get(module_code, {}).keys()),
"user_keys": list(user_settings.keys()),
"legacy_configs_found": legacy_files_found,
"legacy_configs_deleted": legacy_deleted,
}
print(json.dumps(result, indent=2))
if __name__ == "__main__":
main()