Retail POS Sales Summary Agent

import requests, json, pandas as pd

API_POS = "http://localhost:8080/api/v2/pos/sales"

def fetch_pos_summary(start_date, end_date):
    resp = requests.get(API_POS, params={
        "start": start_date, "end": end_date
    })
    return resp.json().get("shifts", [])

def aggregate_sales(shifts):
    df = pd.DataFrame(shifts)
    total = df["amount"].sum()
    count = df["items"].sum()
    avg_ticket = round(total / len(shifts), 2)
    cash_pct = df[df["payment"] == "Cash"]["amount"].sum() / total * 100
    return {
        "total_sales": round(total, 2),
        "transactions": int(count),
        "avg_ticket": avg_ticket,
        "cash_pct": round(cash_pct, 1),
        "card_pct": round(100 - cash_pct, 1),
        "anomalies": int((df["amount"] > df["amount"].mean() * 1.5).sum())
    }

report = aggregate_sales(fetch_pos_summary("2026-06-01", "2026-06-30"))
print(json.dumps(report))