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效率计算

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This commit is contained in:
zhbaor 2023-08-14 12:04:06 +08:00
parent 8f6e365feb
commit ca4a7fa406
1 changed files with 77 additions and 3 deletions
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80
apps/riic_report_analysis.py
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@ -35,20 +35,32 @@ class RIICReportAnalysis:
err_msg += "千梵 243烟火 单推狮蝎\n"
err_msg += "琉璃 243-153"
use_tequila = False
if not card:
await chain.onebot_reply(Text(err_msg))
return
elif "153" in card or "243" in card:
await chain.onebot_reply(Text("3电站，龙舌兰"))
use_tequila = True
elif "252" in card:
if m := re.search(r"([1-3][1-3])贸", card):
await chain.onebot_reply(Text(f"252，贸易站等级是{m.group(1)}"))
if "3" in m.group(1):
if m.group(1) != "33":
await chain.onebot_reply(Text("暂不支持此类基建布局"))
return
else:
use_tequila = True
else:
await chain.onebot_reply(Text(err_msg))
return
elif "342" in card:
if m := re.search(r"([1-3][1-3][1-3])贸", card):
await chain.onebot_reply(Text(f"342，贸易站等级是{m.group(1)}"))
if "3" in m.group(1):
if m.group(1) != "333":
await chain.onebot_reply(Text("暂不支持此类基建布局"))
return
else:
use_tequila = True
else:
await chain.onebot_reply(Text(err_msg))
return
@ -86,14 +98,76 @@ class RIICReportAnalysis:
exp_list.sort(key=lambda x: x[0])
output = ""
lmb_avg = 0
order_avg = 0
gold_avg = 0
exp_avg = 0
external_gold = 5000
try:
for i in range(len(date_list)):
lmb_avg += int(lmb_list[2 * i][1])
order_avg += int(lmb_list[2 * i + 1][1])
gold_avg += int(gold_list[i][1])
exp_avg += int(exp_list[i][1])
output += f"【{date_list[i][1]}】\n"
output += f"💵 {lmb_list[2 * i][1]}订单({lmb_list[2 * i + 1][1]})\n"
output += f"🧈 {gold_list[i][1]}赤金\n"
output += f"📼 {exp_list[i][1]}经验\n\n"
lmb_avg /= len(date_list)
order_avg /= len(date_list)
gold_avg /= len(date_list)
exp_avg /= len(date_list)
if use_tequila:
trading_efficiency = lmb_avg / 1.62 / 500 * 70.138 / 24 / 60
gold_by_e = trading_efficiency * 0.07 * 24 * 60 / 72 * 500
balanced_gold_by_e = lmb_avg - external_gold - gold_by_e
overflow_gold_by_e = gold_avg - balanced_gold_by_e
more_exp_by_e = overflow_gold_by_e * 0.8
balanced_exp_by_e = exp_avg + more_exp_by_e
lmb_exp_ratio_by_e = (lmb_avg + 43483) / (balanced_exp_by_e + 36284)
total_by_e = lmb_avg + balanced_exp_by_e
gold_by_order = order_avg * 0.2 * 500
balanced_gold_by_order = lmb_avg - external_gold - gold_by_order
overflow_gold_by_order = gold_avg - balanced_gold_by_order
more_exp_by_order = overflow_gold_by_order * 0.8
balanced_exp_by_order = exp_avg + more_exp_by_order
lmb_exp_ratio_by_order = (lmb_avg + 43483) / (
balanced_exp_by_order + 36284
)
total_by_order = lmb_avg + balanced_exp_by_order
output += "====计算结果====\n\n"
output += f"订单平均：{lmb_avg:.0f}\n\n"
output += "-----效率算法-----\n"
output += f"贸易效率：{trading_efficiency * 100:.0f}%\n"
output += f"等效赤金：{gold_by_e:.0f}\n"
output += f"经验调平：{balanced_exp_by_e:.0f}\n"
output += f"钱书比例：{lmb_exp_ratio_by_e:.2f}\n"
output += f"调平总和：{total_by_e:.0f}\n\n"
output += "-----数量算法-----\n"
output += f"等效赤金：{gold_by_order:.0f}\n"
output += f"经验调平：{balanced_exp_by_order:.0f}\n"
output += f"钱书比例：{lmb_exp_ratio_by_order:.2f}\n"
output += f"调平总和：{total_by_order:.0f}"
else:
balanced_gold = lmb_avg - external_gold
overflow_gold = gold_avg - balanced_gold
more_exp = overflow_gold * 0.8
balanced_exp = exp_avg + more_exp
lmb_exp_ratio = (lmb_avg + 43483) / (balanced_exp + 36284)
total = lmb_avg + balanced_exp
output += "====计算结果====\n"
output += f"订单平均：{lmb_avg:.0f}\n"
output += f"经验调平：{balanced_exp:.0f}\n"
output += f"钱书比例：{lmb_exp_ratio:.2f}\n"
output += f"调平总和：{total:.0f}"
await chain.onebot_reply(Text(output.strip()))
except:
err_msg = "出错啦！\n"