import os, requests, time
META = os.environ["META_ACCESS_TOKEN"]
ACCT = os.environ["META_AD_ACCOUNT_ID"]
MV = os.environ["MAVERA_API_KEY"]
GRAPH = "https://graph.facebook.com/v24.0"
MB = "https://app.mavera.io/api/v1"
MH = {"Authorization": f"Bearer {MV}", "Content-Type": "application/json"}
# 1. Pull ad copy variants from the same campaign
CAMPAIGN_ID = os.environ.get("META_CAMPAIGN_ID", "")
if CAMPAIGN_ID:
ads = requests.get(
f"{GRAPH}/{CAMPAIGN_ID}/ads",
params={
"access_token": META,
"fields": "id,name,creative{title,body,link_description,call_to_action_type}",
"limit": 20,
},
).json().get("data", [])
else:
ads = requests.get(
f"{GRAPH}/{ACCT}/ads",
params={
"access_token": META,
"fields": "id,name,creative{title,body,link_description,call_to_action_type}",
"effective_status": '["ACTIVE","PAUSED"]',
"limit": 20,
},
).json().get("data", [])
variants = []
for ad in ads:
c = ad.get("creative", {})
if c.get("title") or c.get("body"):
variants.append({
"ad_id": ad["id"],
"ad_name": ad.get("name", "Untitled"),
"headline": c.get("title", ""),
"body": c.get("body", ""),
"cta": c.get("call_to_action_type", "LEARN_MORE"),
})
variants = variants[:6]
print(f"Testing {len(variants)} ad copy variants")
# 2. Build Focus Group questions
variant_block = "\n\n".join(
f"**Variant {i+1}: \"{v['headline']}\"**\n{v['body'][:200]}\nCTA: {v['cta']}"
for i, v in enumerate(variants)
)
PERSONA_IDS = os.environ.get("PERSONA_IDS", "").split(",")
if not PERSONA_IDS[0]:
personas = requests.get(f"{MB}/personas", headers=MH).json()
PERSONA_IDS = [p["id"] for p in (personas if isinstance(personas, list) else [])[:4]]
questions = []
for i, v in enumerate(variants):
questions.append(f"Rate this headline 1-10 for how much it makes you want to learn more: \"{v['headline']}\"")
questions.append(f"Would you click on this ad? (Yes/No): \"{v['headline']}\" — {v['body'][:100]}")
questions.extend([
"Which variant is the most compelling overall? Give the variant number and explain why.",
"What would make you scroll past all of these? What's missing?",
])
# 3. Run Focus Group
fg = requests.post(f"{MB}/focus-groups", headers=MH, json={
"name": "Meta Ad Copy A/B Test",
"persona_ids": PERSONA_IDS,
"questions": questions,
"context": f"You are evaluating ad copy variants for a social media campaign. Here are the variants:\n\n{variant_block}",
"responses_per_persona": 2,
}).json()
# 4. Poll for results
for _ in range(24):
time.sleep(5)
data = requests.get(f"{MB}/focus-groups/{fg['id']}", headers=MH).json()
if data.get("status") == "completed":
break
# 5. Tabulate scores
scores = {i: {"ratings": [], "clicks": []} for i in range(len(variants))}
for resp in data.get("responses", []):
q = resp.get("question", "")
a = resp.get("answer", "")
for i in range(len(variants)):
if variants[i]["headline"] in q:
if "Rate" in q:
try:
score = int("".join(c for c in a if c.isdigit())[:2])
if 1 <= score <= 10:
scores[i]["ratings"].append(score)
except ValueError:
pass
elif "click" in q.lower():
scores[i]["clicks"].append(1 if a.lower().startswith("yes") else 0)
print("\n=== Ad Copy A/B Results ===")
for i, v in enumerate(variants):
s = scores[i]
avg_rating = sum(s["ratings"]) / max(len(s["ratings"]), 1)
click_rate = sum(s["clicks"]) / max(len(s["clicks"]), 1)
print(f"Variant {i+1}: \"{v['headline']}\"")
print(f" Rating: {avg_rating:.1f}/10 | Click intent: {click_rate:.0%}")
