AMA-Style Persona Interviews

import os, requests, time

# --- Auth setup same as Job 1 ---

SUB = "entrepreneur"

# 1. Find AMA posts + extract questions
r = requests.get(f"{RD}/r/{SUB}/search", headers=RD_H,
    params={"q": "AMA OR ask me anything", "restrict_sr": "true", "sort": "top", "t": "year", "limit": 15, "raw_json": 1})
r.raise_for_status()
ama_posts = [p["data"] for p in r.json()["data"]["children"]]

questions = []
for post in ama_posts[:10]:
    cr = requests.get(f"{RD}/comments/{post['id']}", headers=RD_H,
        params={"limit": 20, "depth": 1, "sort": "top", "raw_json": 1})
    if cr.ok and len(cr.json()) > 1:
        for c in cr.json()[1]["data"]["children"]:
            body = c.get("data",{}).get("body","")
            if body and "?" in body and len(body) < 500:
                questions.append(body.strip())
    time.sleep(0.7)

# 2. Curate via Mave
dedup = requests.post(f"{MV_BASE}/mave/chat", headers=MV_H, json={
    "message": f"Deduplicate these {len(questions)} AMA questions by theme. Return 8 best as numbered list.\n\n" +
               "\n".join(f"- {q[:200]}" for q in questions[:50])
}).json()
curated = [l.strip().lstrip("0123456789.) ") for l in dedup.get("content","").split("\n")
           if l.strip() and any(c.isalpha() for c in l)][:8]
if not curated:
    curated = ["What was the turning point?", "Biggest mistake?", "How do you decide when to pivot?",
               "What does your typical day look like?", "How did you get first 100 customers?",
               "Best advice you've received?", "What would you do differently?", "How do you handle imposter syndrome?"]

# 3. Personas + Speak
INTERVIEWEES = [
    {"name": "Bootstrapped SaaS Founder", "desc": "$5M ARR, no funding, team of 12. Profitability over growth."},
    {"name": "VC-Backed CEO", "desc": "Series A ($8M). Team of 40. Scaling fast. Board dynamics."},
    {"name": "Solopreneur / Creator", "desc": "$300K/year digital products. No employees. Freedom over scale."},
]
for p in INTERVIEWEES:
    persona = requests.post(f"{MV_BASE}/personas", headers=MV_H, json={
        "name": f"AMA: {p['name']}", "description": p["desc"],
    }).json()
    speak = requests.post(f"{MV_BASE}/speak", headers=MV_H, json={
        "persona_id": persona["id"],
        "input": [{"role": "system", "content": f"You are {p['name']} doing a Reddit AMA in /r/{SUB}. Answer candidly with examples."}]
                    + [{"role": "user", "content": q} for q in curated],
        "mode": "interview",
    }).json()
    print(f"\n{'='*60}\nAMA: {p['name']}\n{'='*60}")
    for ex in speak.get("exchanges", speak.get("messages", [])):
        if ex.get("role") == "user": print(f"\n  Q: {ex['content'][:150]}")
        elif ex.get("role") == "assistant": print(f"  A: {ex['content'][:350]}")
    time.sleep(0.3)