用 Python 给来源阵地贡献度排序并标记零命中

domain -> citation count from last batch
CITE = { "site_1.com": 6, "site_2.com": 5, "site_3.com": 3, "site_4.com": 0, "site_5.com": 1, } THRESHOLD = 0.1  # contribution share below this -> review
def rank_domains(cite): total = sum(cite.values()) rows = [] for d, c in cite.items(): share = round(c / total, 2) rows.append((d, c, share)) rows.sort(key=lambda x: -x[1]) return rows, total
def alerts(rows): drop = [d for d, c, s in rows if c == 0] low = [d for d, c, s in rows if 0 < s < THRESHOLD] return drop, low
if name == "main": rows, total = rank_domains(CITE) print("== domain contribution ranking ==") for d, c, s in rows: bar = "#" * c print(f"  {d:<12} {c}  share={s}  {bar}") print(f"total citations: {total}") drop, low = alerts(rows) print("\nDROP (0 citation, consider abandon):", drop if drop else "none") print("LOW (share<0.1, watch):", low if low else "none") 【代码结束】
二、真实输出
【运行输出开始】 == domain contribution ranking == site_1.com   6  share=0.4  ###### site_2.com   5  share=0.33  ##### site_3.com   3  share=0.2  ### site_5.com   1  share=0.07  # site_4.com   0  share=0.0 total citations: 15
DROP (0 citation, consider abandon): ['site_4.com'] LOW (share<0.1, watch): ['site_5.com']