Files
reverse-engineering-anything/scripts/website_agents.py
T

117 lines
5.5 KiB
Python

"""Build public agent discovery and Markdown from their maintained sources."""
import hashlib
import json
from urllib.parse import urljoin
from zipfile import ZIP_DEFLATED, ZipFile, ZipInfo
from bs4 import BeautifulSoup
from markdownify import MarkdownConverter
import yaml
from website import NOTES_FIXTURES, PageMetadata, SITE_ORIGIN, page_url
def write_json(path, value):
path.parent.mkdir(parents=True, exist_ok=True)
path.write_text(json.dumps(value, ensure_ascii=False, indent=2) + "\n", encoding="utf-8")
def prepare_discovery(root, site):
"""Publish the complete skill, including its relative reference documents."""
source = root / ".agents/skills/reverse-engineer-anything"
skill = (source / "SKILL.md").read_text(encoding="utf-8")
if not skill.startswith("---\n") or "\n---\n" not in skill[4:]:
raise ValueError("Public REA skill needs YAML frontmatter")
metadata = yaml.safe_load(skill[4:].split("\n---\n", 1)[0])
if not isinstance(metadata, dict):
raise ValueError("Public REA skill needs YAML metadata")
name, description = metadata["name"], metadata["description"]
if name != source.name or not isinstance(description, str) or not description.strip():
raise ValueError("Invalid public REA skill metadata")
discovery = site / ".well-known/agent-skills"
discovery.mkdir(parents=True, exist_ok=True)
artifact = discovery / f"{name}.zip"
with ZipFile(artifact, "w") as archive:
for path in [source / "SKILL.md", *sorted(source.glob("references/**/*.md"))]:
relative = path.relative_to(source)
entry = ZipInfo(f"{name}/{relative.as_posix()}", (1980, 1, 1, 0, 0, 0))
entry.create_system = 3
entry.external_attr = 0o100644 << 16
archive.writestr(entry, path.read_bytes(), compress_type=ZIP_DEFLATED)
artifact_url = f"{SITE_ORIGIN}/.well-known/agent-skills/{artifact.name}"
write_json(discovery / "index.json", {
"$schema": "https://schemas.agentskills.io/discovery/0.2.0/schema.json",
"skills": [{
"name": name, "type": "archive", "description": description,
"url": artifact_url,
"digest": "sha256:" + hashlib.sha256(artifact.read_bytes()).hexdigest(),
}],
})
entry = {
"identifier": f"urn:air:rea.tools:skill:{name}",
"displayName": "REA reverse engineering skill",
"description": description,
"type": "application/zip",
"url": artifact_url,
}
write_json(site / ".well-known/ai-catalog.json", {
"specVersion": "1.0",
"host": {"displayName": "REA", "documentationUrl": f"{SITE_ORIGIN}/get-started/"},
"entries": [entry],
})
write_json(site / ".well-known/ard.json", {"entries": [{
**entry,
"representativeQueries": [
"Explain how a feature works in a shipped executable using REA.",
"Trace an Electron application's behavior back to its packaged JavaScript.",
"Build an AgentEnv bundle from a web application capture.",
],
}]})
print("Prepared agent skill archive, discovery index, AI Catalog and ARD manifest.")
def prepare_markdown(site):
"""Convert rendered reading pages, keeping code and resolving resource URLs."""
converter = MarkdownConverter(heading_style="ATX", bullets="-", escape_underscores=False)
count = 0
for path in sorted(site.rglob("*.html")):
if path.relative_to(site).as_posix() in NOTES_FIXTURES:
continue
source = path.read_text(encoding="utf-8")
metadata = PageMetadata()
metadata.feed(source)
# Drafts and English fallbacks keep their HTML indexing policy intact.
if metadata.noindex:
continue
soup = BeautifulSoup(source, "html.parser")
main = soup.find("main")
if main is None:
continue
# Preserve fallback notices and closed disclosures; remove interface chrome.
for node in main.select('script, style, nav, button, svg, .home-page-nav, [aria-hidden="true"]'):
if node.parent is not None:
node.decompose()
# These spans are separate lines in the shared flow component's CSS.
for node in main.select("span.flow-label, span.flow-node, span.flow-note"):
node.name = "div"
canonical = page_url(site, path)
for node in main.select("[href], [src]"):
for attribute in ("href", "src"):
if node.has_attr(attribute):
node[attribute] = urljoin(canonical, node[attribute])
title = metadata.titles[0] if metadata.titles else "REA"
header = yaml.safe_dump({"title": title, "url": canonical}, allow_unicode=True, sort_keys=False)
markdown = converter.convert_soup(main).strip()
path.with_suffix(".md").write_text(f"---\n{header}---\n\n{markdown}\n", encoding="utf-8")
alternate = page_url(site, path.with_suffix(".md"))
links = (
f'<link rel="alternate" type="text/markdown" href="{alternate}" />\n'
f'<link rel="ard" type="application/json" href="{SITE_ORIGIN}/.well-known/ard.json" />\n'
f'<link rel="ai-catalog" type="application/ai-catalog+json" href="{SITE_ORIGIN}/.well-known/ai-catalog.json" />\n'
f'<link rel="related" type="application/json" title="Agent skills index" href="{SITE_ORIGIN}/.well-known/agent-skills/index.json" />\n'
)
path.write_text(source.replace("</head>", links + "</head>", 1), encoding="utf-8")
count += 1
print(f"Prepared Markdown for {count} reading pages.")