物流快递绩效智能体

import requests, json, pandas as pd

API_SLA = "https://api.logistics.com/v2/courier/sla"

def fetch_courier_sla(month):
    resp = requests.get(API_SLA, params={"period": month})
    return resp.json().get("couriers", [])

def analyze_performance(couriers):
    df = pd.DataFrame(couriers)
    df["score"] = df["otd"] * 0.5 - df["damage"] * 0.3 + (1 / df["cost"]) * 20
    ranking = df.sort_values("score", ascending=False)
    return {
        "avg_otd": round(df["otd"].mean(), 2),
        "avg_cost": round(df["cost"].mean(), 2),
        "avg_damage": round(df["damage"].mean(), 2),
        "top_courier": ranking.iloc[0]["name"],
        "scorecard": ranking.to_dict("records")
    }

report = analyze_performance(fetch_courier_sla("2026-06"))
print(json.dumps(report, indent=2))