Let visitors ask about your CV, with a daily summary by email

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

REPLY_URL = "https://chat.example.com/api/reply"  # your chat widget's reply link
HOST, NS = "https://kb-abc123.svc.aped-1234.pinecone.io", "cv"  # your index host and namespace
def search(text, k=5):
    r = http.post(f"{HOST}/records/namespaces/{NS}/search", json={"query": {"inputs": {"text": text}, "top_k": k}}, headers={
        "Api-Key": credentials.secret("PINECONE_API_KEY"), "X-Pinecone-API-Version": "2025-04"}).json()
    return [h["fields"] for h in r["result"]["hits"]]

@on_event
def handle(event):
    q, session = str((event.json or {}).get("message", ""))[:500], (event.json or {}).get("session_id")
    cv = "\n".join(h["chunk_text"] for h in search(q, 4))
    answer = ai.generate(f"Answer this visitor's question about Alex's CV using only this text. If it isn't covered, say so and "
                         f"suggest emailing Alex.\nCV:\n{cv}\n\nQuestion: {q}", max_output_tokens=250).text
    http.post(REPLY_URL, json={"session_id": session, "text": answer})
    state.set("turns", (state.get("turns") or []) + [f"Q: {q}\nA: {answer}"])
    return {"answered": True}

@on_trigger
def summarise(event):
    turns = state.get("turns") or []
    if turns:
        notify.email_me(f"CV chat: {len(turns)} questions today", ai.generate("Summarise what visitors wanted to know, in a few bullets:\n"
             + "\n\n".join(turns)[:20000], max_output_tokens=400).text + "\n\nFull log:\n\n" + "\n\n".join(turns))
        state.set("turns", [])
    return {"questions": len(turns)}