Turn a keyword list into researched WordPress drafts

from clickruntime import on_trigger, credentials, http, state, notify, ai

SITE, WP_USER = "https://blog.example.com", "content-bot"
KEYWORDS = ["how to price a cleaning service", "commercial cleaning checklist", "office cleaning frequency"]

def sonar(prompt):
    r = http.post("https://api.perplexity.ai/chat/completions", headers={"Authorization": f"Bearer {credentials.secret('PERPLEXITY_API_KEY')}"},
                  json={"model": "sonar", "messages": [{"role": "user", "content": prompt}]}, timeout=90).json()
    return r["choices"][0]["message"]["content"], [s["url"] for s in r.get("search_results", [])]
def wp_draft(title, html):
    r = http.post(f"{SITE}/wp-json/wp/v2/posts", auth=(WP_USER, credentials.secret("WP_APP_PASSWORD")),
                  json={"title": title, "content": html, "status": "draft"})
    return r.raise_for_status() or r.json()["id"]

@on_trigger
def run(event):
    done = state.get("done") or []
    keyword = next((k for k in KEYWORDS if k not in done), None)
    if not keyword:
        return {"drafted": False}
    facts, links = sonar(f"Research '{keyword}': key facts, figures, steps and questions people ask.")
    html = ai.generate(f"Write a 1,200-word SEO article in HTML (h2, p, ul only) targeting '{keyword}'. First line: the "
                       f"title as plain text. Use only these facts:\n{facts[:4000]}", max_output_tokens=2048).text
    title, _, body = html.partition("\n")
    post_id = wp_draft(title.strip(), body + "<h2>Sources</h2><ul>" + "".join(f"<li>{l}</li>" for l in links) + "</ul>")
    notify.slack(f"New draft: {title.strip()}\n{SITE}/wp-admin/post.php?post={post_id}&action=edit", channel="#content")
    state.set("done", done + [keyword])
    return {"post_id": post_id}