效率计算

apps/riic_report_analysis.py

@@ -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"