Batch runs with CSV

import csv
from eggai import EggAI

client = EggAI()
with open("offers.csv", newline="") as f:
    rows = list(csv.DictReader(f))   # customer_id is mapped for you

run = client.offers.cheapest_accepted(
    rows=rows, guidelines="discount caps at 12%",
    on_progress=lambda p: print(f"{p['pct']:.0f}%"),
)

with open("terms.csv", "w", newline="") as f:
    w = csv.writer(f)
    w.writerow(["customer_id", "accepted", "terms", "tagline"])
    for t in run:
        w.writerow([t.customer, t.accepted, t.text, t.tagline])

import { parse } from 'csv-parse/sync';   // or any CSV reader
import { readFileSync, writeFileSync } from 'node:fs';
import { EggAI } from '@eggai-sdk/core';

const client = new EggAI();
const rows = parse(readFileSync('offers.csv'), { columns: true });

const run = await client.offers.cheapestAccepted({
  rows,                                  // customer_id is mapped for you
  guidelines: 'discount caps at 12%',
  onProgress: (p) => console.log(`${p.pct}%`),
});

const out = [['customer_id', 'accepted', 'terms', 'tagline']];
for (const t of run) out.push([t.customer, t.accepted, t.text, t.tagline]);
writeFileSync('terms.csv', out.map((r) => r.join(',')).join('\n'));

ranked = client.leads.rank(
    rows,                              # customer_id, profile [, traits…]
    offer     = "Fresh Picks Weekend — 15% off produce",
    max_leads = 400,                   # what six people can call in 2 days
)
for lead in ranked.qualified:
    print(lead.rank, lead.id, lead.score, lead.reason)

const ranked = await client.leads.rank(rows, {
  offer:    'Fresh Picks Weekend — 15% off produce',
  maxLeads: 400,          // what six people can call in 2 days
});
for (const lead of ranked.qualified) {
  console.log(lead.rank, lead.id, lead.score, lead.reason);
}