molecule-ci/scripts/validate-workspace-template.py
Molecule AI Platform Engineer a89b14a76c ci: streamline workflows, add timeouts, and cache pip
- Remove redundant nested checkout of molecule-ci in workflow_call jobs
- Add timeout-minutes to prevent hung jobs (plugin: 10m, workspace: 15m)
- Add pip cache using requirements.txt
- Add missing SKILL.md heading check in validate-plugin
- Add legacy import and runtime dependency warnings in workspace validation

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-04-20 04:54:35 +00:00

48 lines
1.6 KiB
Python

#!/usr/bin/env python3
"""Validate a Molecule AI workspace template repo."""
import os, sys, yaml
errors = []
if not os.path.isfile("config.yaml"):
print("::error::config.yaml not found at repo root")
sys.exit(1)
with open("config.yaml") as f:
config = yaml.safe_load(f)
if not config.get("name"):
errors.append("Missing required field: name")
if not config.get("runtime"):
errors.append("Missing required field: runtime")
known = {"langgraph", "claude-code", "crewai", "autogen", "deepagents", "hermes", "gemini-cli", "openclaw"}
runtime = config.get("runtime", "")
if runtime and runtime not in known:
print(f"::warning::Runtime '{runtime}' is not in the known set. OK for custom runtimes.")
# Check for legacy imports
if os.path.isfile("adapter.py"):
with open("adapter.py") as f:
content = f.read()
if "molecule_runtime" in content:
print("::warning::adapter.py imports 'molecule_runtime' — legacy import, use 'molecule_ai' or platform SDK")
# Check for missing molecule-ai-workspace-runtime dependency hint
if os.path.isfile("Dockerfile"):
with open("Dockerfile") as f:
content = f.read()
if "molecule-ai-workspace-runtime" not in content:
print("::warning::Dockerfile does not reference 'molecule-ai-workspace-runtime' — may need base runtime package")
sv = config.get("template_schema_version")
if sv is None:
errors.append("Missing template_schema_version (add: template_schema_version: 1)")
if errors:
for e in errors:
print(f"::error::{e}")
sys.exit(1)
print(f"✓ config.yaml valid: {config['name']} (runtime: {config.get('runtime')})")