269 lines
11 KiB
Python
269 lines
11 KiB
Python
from pepperbot.core.message.chain import MessageChain, Image, Text, At
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from pepperbot.extensions.command import as_command, CLIArgument
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from pepperbot.extensions.command.sender import CommandSender
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from pepperbot.adapters.universal.api import UniversalGroupBot
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from rapidocr_onnxruntime import RapidOCR
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import os
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import asyncio
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import functools
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import re
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from typing import Dict, Optional, Any
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import math
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rapid_ocr = None
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if not rapid_ocr:
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rapid_ocr = RapidOCR("rapid_ocr.yml")
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class RIICReportAnalysis:
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async def group_message(
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self,
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chain: MessageChain,
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raw_event: Dict,
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bot: UniversalGroupBot,
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):
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if len(chain) != 1 or len(chain.images) != 1:
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return
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img_seg: Image = chain[0]
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img_path = await img_seg.download()
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loop = asyncio.get_running_loop()
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result, elapse = await loop.run_in_executor(
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None, functools.partial(rapid_ocr, img_path)
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)
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os.remove(img_path)
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if not result or not "副手简报" in [i[1] for i in result]:
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return
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card = raw_event["sender"]["card"]
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err_msg = "请修改群昵称（群名片），标注基建布局。若使用2电站布局，请额外标注贸易站等级。如：\n"
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err_msg += "EE0000 252 21贸\n"
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err_msg += "教捐 252（33贸易站）\n"
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err_msg += "千梵 243烟火 单推狮蝎\n"
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err_msg += "琉璃 243-153"
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use_tequila = False
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power_plants = 2
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if not card:
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await chain.onebot_reply(Text(err_msg))
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return
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elif "153" in card or "243" in card:
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use_tequila = True
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power_plants = 3
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elif "252" in card:
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if m := re.search(r"([1-3][1-3])贸", card):
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if "3" in m.group(1):
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if m.group(1) != "33":
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await chain.onebot_reply(Text("暂不支持此类基建布局"))
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return
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else:
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use_tequila = True
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else:
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await chain.onebot_reply(Text(err_msg))
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return
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elif "342" in card:
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if m := re.search(r"([1-3][1-3][1-3])贸", card):
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if "3" in m.group(1):
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if m.group(1) != "333":
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await chain.onebot_reply(Text("暂不支持此类基建布局"))
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return
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else:
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use_tequila = True
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else:
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await chain.onebot_reply(Text(err_msg))
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return
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else:
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await chain.onebot_reply(Text(err_msg))
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return
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lmb_height = 0
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lmb_list = []
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date_list = []
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exp_list = []
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gold_list = []
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for i in result:
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if i[1] == "龙门币":
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lmb_height = i[0][0][1]
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break
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for i in result:
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if m := re.search(r"([0-9]+\.[0-9]+)", i[1]):
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if float(i[2]) < 0.6:
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continue
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date_list.append([int(i[0][0][0]), m.group(1)])
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continue
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if m := re.search(r"EXP([0-9]+)的作战记录", i[1]):
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exp_list.append([int(i[0][0][0]), m.group(1)])
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continue
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if m := re.search(r"([0-9]+)的贵金属", i[1]):
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gold_list.append([int(i[0][0][0]), m.group(1)])
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continue
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if lmb_height - 20 < i[0][0][1] < lmb_height + 20:
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if m := re.search(r"([0-9]+)", i[1]):
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lmb_list.append([int(i[0][0][0]), m.group(1)])
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lmb_list.sort(key=lambda x: x[0])
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gold_list.sort(key=lambda x: x[0])
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exp_list.sort(key=lambda x: x[0])
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output_list = []
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output = ""
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lmb_avg = 0
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order_avg = 0
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gold_avg = 0
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exp_avg = 0
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external_gold = 5000
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external_lmb = 43483
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external_exp = 36284
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try:
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exp_list += [["manual", "0"]] * (len(date_list) - len(exp_list))
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for i in range(len(date_list)):
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lmb_avg += int(lmb_list[2 * i][1])
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order_avg += int(lmb_list[2 * i + 1][1])
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gold_avg += int(gold_list[i][1])
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exp_avg += int(exp_list[i][1])
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output += f"【{date_list[i][1]}】\n"
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output += f"💵 {lmb_list[2 * i][1]}订单({lmb_list[2 * i + 1][1]})\n"
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output += f"🪙 {gold_list[i][1]}赤金\n"
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output += f"📼 {exp_list[i][1]}经验\n\n"
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output_list.append(output.strip())
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output = ""
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lmb_avg /= len(date_list)
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order_avg /= len(date_list)
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gold_avg /= len(date_list)
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exp_avg /= len(date_list)
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if use_tequila:
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trading_efficiency = lmb_avg / 1.62 / 500 * 70.138 / 24 / 60
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gold_by_e = trading_efficiency * 0.07 * 24 * 60 / 72 * 500
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balanced_gold_by_e = lmb_avg - external_gold - gold_by_e
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overflow_gold_by_e = gold_avg - balanced_gold_by_e
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more_exp_by_e = overflow_gold_by_e * 0.8
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balanced_exp_by_e = exp_avg + more_exp_by_e
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lmb_exp_ratio_by_e = (lmb_avg + external_lmb) / (
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balanced_exp_by_e + external_exp
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)
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total_by_e = lmb_avg + balanced_exp_by_e
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gold_by_order = order_avg * 0.2 * 500
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balanced_gold_by_order = lmb_avg - external_gold - gold_by_order
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overflow_gold_by_order = gold_avg - balanced_gold_by_order
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more_exp_by_order = overflow_gold_by_order * 0.8
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balanced_exp_by_order = exp_avg + more_exp_by_order
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lmb_exp_ratio_by_order = (lmb_avg + external_lmb) / (
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balanced_exp_by_order + external_exp
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)
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total_by_order = lmb_avg + balanced_exp_by_order
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output += "====计算结果====\n\n"
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output += f"订单平均：{lmb_avg:.0f}\n"
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if power_plants == 3:
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output += f"赤金平均：{gold_avg:.0f}\n"
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output += f"经验平均：{exp_avg:.0f}\n"
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if exp_avg != 0:
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output += f"产出钱书比例：{lmb_avg / exp_avg:.2f}\n"
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else:
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output += f"产出钱书比例：正无穷\n"
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output += f"综合钱书比例：{(lmb_avg + external_lmb) / (exp_avg + external_exp):.2f}\n"
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output += f"钱书总和：{lmb_avg + exp_avg:.0f}\n"
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output += "\n-----效率算法-----\n"
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output += f"贸易效率：{trading_efficiency:.0%}\n"
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output += f"等效赤金：{gold_by_e:.0f}\n"
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output += f"经验调平：{balanced_exp_by_e:.0f}\n"
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if power_plants == 2:
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output += f"钱书比例：{lmb_exp_ratio_by_e:.2f}\n"
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output += f"调平总和：{total_by_e:.0f}\n\n"
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output += "-----数量算法-----\n"
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output += f"等效赤金：{gold_by_order:.0f}\n"
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output += f"经验调平：{balanced_exp_by_order:.0f}\n"
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if power_plants == 2:
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output += f"钱书比例：{lmb_exp_ratio_by_order:.2f}\n"
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output += f"调平总和：{total_by_order:.0f}\n\n"
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else:
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balanced_gold = lmb_avg - external_gold
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overflow_gold = gold_avg - balanced_gold
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more_exp = overflow_gold * 0.8
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balanced_exp = exp_avg + more_exp
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lmb_exp_ratio = (lmb_avg + external_lmb) / (balanced_exp + external_exp)
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total = (lmb_avg * 0.2 + gold_avg * 0.8 + exp_avg + 4000) / 10000
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gongsun = (lmb_avg * 0.8 + gold_avg * 0.8 + exp_avg + 4000) / 10000
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kaltsit = math.ceil((lmb_avg + gold_avg + exp_avg) / 10000)
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stupid = (lmb_avg + exp_avg) / 10000
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output += "====计算结果====\n"
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output += f"订单平均：{lmb_avg:.0f}\n"
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output += f"赤金平均：{gold_avg:.0f}\n"
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output += f"经验平均：{exp_avg:.0f}\n"
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output += f"经验调平：{balanced_exp:.0f}\n"
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output += f"钱书比例：{lmb_exp_ratio:.2f}\n\n"
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output += "======产能======\n"
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output += f"{total:.2f}E = 0.2贸 + 0.8金 + 书 + 4000\n"
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output += f"{gongsun:.2f}公 = 0.8贸 + 0.8金 + 书 + 4000\n"
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output += f"{kaltsit:.0f}凯 = 贸 + 金 + 书向上取整到万\n"
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output += f"{stupid:.1f}友 = 贸 + 书"
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output_list.append(output.strip())
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await bot.arbitrary.onebot.send_group_forward_msg(
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raw_event["group_id"],
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[
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{
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"type": "node",
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"data": {
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"name": card,
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"uin": raw_event["user_id"],
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"content": [{"type": "text", "data": {"text": i}}],
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},
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}
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for i in output_list
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],
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)
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return
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except Exception as e:
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err_msg = "出错啦！\n"
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err_msg += f"date_list = {date_list}\n"
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err_msg += f"lmb_list = {lmb_list}\n"
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err_msg += f"gold_list = {gold_list}\n"
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err_msg += f"exp_list = {exp_list}\n"
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err_msg += str(e)
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if str(e) != "timed out":
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await chain.onebot_reply(Text(err_msg), At("1040110848"))
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@as_command(
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need_prefix=False,
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aliases=["裁缝计算"],
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include_class_name=False,
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require_at=False,
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)
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class TailoringCommand:
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async def initial(self, sender: CommandSender, arg: Optional[Any] = CLIArgument()):
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if not arg or not isinstance(arg, str):
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await sender.reply(Text("请输入效率！"))
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return
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if arg.endswith("%"):
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arg = arg[:-1]
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try:
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efficiency = float(arg)
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except:
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await sender.reply(Text("输入无效！"))
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return
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if efficiency > 30:
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efficiency /= 100
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total_efficiency = efficiency + 1.1
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equiv_efficiency = total_efficiency * 1.2410210128
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gold_efficiency = total_efficiency * (1.2410210128 - 1.0141677) * 1.025
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lmb = equiv_efficiency * 24 * 60 / 70.137931 * 500
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gold = gold_efficiency * 24 * 60 / 72 * 500
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output = f"整站效率：{total_efficiency:.0%}\n"
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output += f"等效贸易：{equiv_efficiency - 1:.0%}\n"
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output += f"等效制造：{gold_efficiency:.0%}\n"
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output += f"订单收益：{lmb:.0f}\n"
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output += f"赤金收益：{gold:.0f}"
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await sender.reply(Text(output))
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