Smart View Content Generation

import os, requests
from requests.auth import HTTPBasicAuth

CLOSE_KEY = os.environ["CLOSE_API_KEY"]
CLOSE_AUTH = HTTPBasicAuth(CLOSE_KEY, "")
MAVERA_KEY = os.environ["MAVERA_API_KEY"]

def close_get(path, params=None):
    r = requests.get(f"https://api.close.com/api/v1{path}", auth=CLOSE_AUTH, params=params or {})
    r.raise_for_status()
    return r.json()

# 1. List Smart Views
views = close_get("/saved_search/", {"_type": "lead"}).get("data", [])
print("Smart Views:")
for v in views:
    print(f"  - {v['name']} (id: {v['id']})")

target = views[0] if views else None
if not target:
    print("No Smart Views found.")
    exit()

# 2. Fetch matching leads
leads = close_get("/lead/", {"query": target.get("query", ""), "_limit": 50,
    "_fields": "id,display_name,contacts,custom,description"}).get("data", [])
print(f"\nUsing: {target['name']} ({len(leads)} leads)")

# 3. Build segment description
companies = [l["display_name"] for l in leads[:5]]
titles = list({c["title"] for l in leads for c in l.get("contacts", []) if c.get("title")})[:5]
segment_desc = (
    f"Segment: '{target['name']}'\nCompanies: {', '.join(companies)}\n"
    f"Titles: {', '.join(titles)}\nCount: {len(leads)}"
)

# 4. Generate outreach content
gen = requests.post(
    "https://app.mavera.io/api/v1/generations",
    headers={"Authorization": f"Bearer {MAVERA_KEY}"},
    json={"prompt": (
        f"Write a cold email for this B2B segment. Under 150 words, soft CTA.\n\n"
        f"{segment_desc}\n\n"
        f"Write 3 variants: (1) Pain-point led, (2) Social proof, (3) Curiosity/question led"
    )},
)
gen.raise_for_status()
print(f"\n{'='*50}\nGenerated content for: {target['name']}\n{'='*50}")
print(gen.json().get("content", gen.json().get("text", "")))

# 5. LinkedIn variant
li = requests.post(
    "https://app.mavera.io/api/v1/generations",
    headers={"Authorization": f"Bearer {MAVERA_KEY}"},
    json={"prompt": f"Write a LinkedIn connection request (under 300 chars) for this segment.\n\n{segment_desc}"},
)
li.raise_for_status()
print(f"\nLinkedIn message:\n{li.json().get('content', li.json().get('text', ''))}")

const CLOSE_KEY = process.env.CLOSE_API_KEY;
const CLOSE_AUTH = "Basic " + Buffer.from(`${CLOSE_KEY}:`).toString("base64");
const MAVERA_KEY = process.env.MAVERA_API_KEY;

async function closeGet(path, params = {}) {
  const url = new URL(`https://api.close.com/api/v1${path}`);
  for (const [k, v] of Object.entries(params)) url.searchParams.set(k, v);
  const res = await fetch(url, { headers: { Authorization: CLOSE_AUTH } });
  if (!res.ok) throw new Error(`Close ${res.status}`);
  return res.json();
}

// 1. List Smart Views
const views = (await closeGet("/saved_search/", { _type: "lead" })).data || [];
console.log("Smart Views:", views.map((v) => v.name).join(", "));

const target = views[0];
if (!target) { console.log("No views."); process.exit(0); }

// 2. Fetch matching leads
const leads = (await closeGet("/lead/", {
  query: target.query || "", _limit: 50, _fields: "id,display_name,contacts,custom",
})).data || [];
console.log(`\nUsing: ${target.name} (${leads.length} leads)`);

// 3. Build segment description
const companies = leads.slice(0, 5).map((l) => l.display_name);
const titles = [...new Set(leads.flatMap((l) => (l.contacts || []).map((c) => c.title).filter(Boolean)))].slice(0, 5);
const segmentDesc = `Segment: '${target.name}'\nCompanies: ${companies.join(", ")}\nTitles: ${titles.join(", ")}\nCount: ${leads.length}`;

// 4. Generate content
const genRes = await fetch("https://app.mavera.io/api/v1/generations", {
  method: "POST",
  headers: { Authorization: `Bearer ${MAVERA_KEY}`, "Content-Type": "application/json" },
  body: JSON.stringify({ prompt:
    `Write a cold email for this B2B segment. Under 150 words, soft CTA.\n\n${segmentDesc}\n\n` +
    `3 variants: (1) Pain-point, (2) Social proof, (3) Curiosity` }),
});
const gen = await genRes.json();
console.log(`\n${"=".repeat(50)}\nGenerated for: ${target.name}\n${"=".repeat(50)}`);
console.log(gen.content || gen.text || "");

// 5. LinkedIn variant
const liRes = await fetch("https://app.mavera.io/api/v1/generations", {
  method: "POST",
  headers: { Authorization: `Bearer ${MAVERA_KEY}`, "Content-Type": "application/json" },
  body: JSON.stringify({ prompt: `LinkedIn connection request (under 300 chars) for:\n\n${segmentDesc}` }),
});
console.log(`\nLinkedIn:\n${(await liRes.json()).content || ""}`);