pepperbot/apps/riic_report_analysis.py

from pepperbot.core.message.chain import MessageChain, Image, Text, At
from pepperbot.extensions.command import as_command, CLIArgument
from pepperbot.extensions.command.sender import CommandSender
from rapidocr_onnxruntime import RapidOCR
import os
import asyncio
import functools
import re
from typing import Dict, Optional, Any
import math


rapid_ocr = None
if not rapid_ocr:
    rapid_ocr = RapidOCR("rapid_ocr.yml")


class RIICReportAnalysis:
    async def group_message(self, chain: MessageChain, raw_event: Dict):
        if len(chain) != 1 or len(chain.images) != 1:
            return
        img_seg: Image = chain[0]
        img_path = await img_seg.download()
        loop = asyncio.get_running_loop()
        result, elapse = await loop.run_in_executor(
            None, functools.partial(rapid_ocr, img_path)
        )
        os.remove(img_path)
        if not result or not "副手简报" in [i[1] for i in result]:
            return

        card = raw_event["sender"]["card"]

        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。\n"
        err_msg += "如：\n"
        err_msg += "EE0000 252 11贸\n"
        err_msg += "教捐 252（33贸易站）\n"
        err_msg += "千梵 243烟火 单推狮蝎\n"
        err_msg += "琉璃 243-153"

        use_tequila = False
        power_plants = 2

        if not card:
            await chain.onebot_reply(Text(err_msg))
            return
        elif "153" in card or "243" in card:
            use_tequila = True
            power_plants = 3
        elif "252" in card:
            if m := re.search(r"([1-3][1-3])贸", card):
                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):
                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
        else:
            await chain.onebot_reply(Text(err_msg))
            return

        lmb_height = 0
        lmb_list = []
        date_list = []
        exp_list = []
        gold_list = []
        for i in result:
            if i[1] == "龙门币":
                lmb_height = i[0][0][1]
                break
        for i in result:
            if m := re.search(r"([0-9]+\.[0-9]+)", i[1]):
                if float(i[2]) < 0.6:
                    continue
                date_list.append([int(i[0][0][0]), m.group(1)])
                continue
            if m := re.search(r"EXP([0-9]+)的作战记录", i[1]):
                exp_list.append([int(i[0][0][0]), m.group(1)])
                continue
            if m := re.search(r"([0-9]+)的贵金属", i[1]):
                gold_list.append([int(i[0][0][0]), m.group(1)])
                continue
            if lmb_height - 20 < i[0][0][1] < lmb_height + 20:
                if m := re.search(r"([0-9]+)", i[1]):
                    lmb_list.append([int(i[0][0][0]), m.group(1)])

        lmb_list.sort(key=lambda x: x[0])
        gold_list.sort(key=lambda x: x[0])
        exp_list.sort(key=lambda x: x[0])

        output = ""
        lmb_avg = 0
        order_avg = 0
        gold_avg = 0
        exp_avg = 0
        external_gold = 5000
        external_lmb = 43483
        external_exp = 36284

        try:
            exp_list += [["manual", "0"]] * (len(date_list) - len(exp_list))
            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 + external_lmb) / (
                    balanced_exp_by_e + external_exp
                )
                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 + external_lmb) / (
                    balanced_exp_by_order + external_exp
                )
                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"
                if power_plants == 3:
                    output += f"赤金平均：{gold_avg:.0f}\n"
                    output += f"经验平均：{exp_avg:.0f}\n"
                    if exp_avg != 0:
                        output += f"产出钱书比例：{lmb_avg / exp_avg:.2f}\n"
                    else:
                        output += f"产出钱书比例：正无穷\n"
                    output += f"综合钱书比例：{(lmb_avg + external_lmb) / (exp_avg + external_exp):.2f}\n"
                    output += f"钱书总和：{lmb_avg + exp_avg:.0f}\n"
                output += "\n-----效率算法-----\n"
                output += f"贸易效率：{trading_efficiency:.0%}\n"
                output += f"等效赤金：{gold_by_e:.0f}\n"
                output += f"经验调平：{balanced_exp_by_e:.0f}\n"
                if power_plants == 2:
                    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"
                if power_plants == 2:
                    output += f"钱书比例：{lmb_exp_ratio_by_order:.2f}\n"
                output += f"调平总和：{total_by_order:.0f}\n\n"
            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 + external_lmb) / (balanced_exp + external_exp)
                total = (lmb_avg * 0.2 + gold_avg * 0.8 + exp_avg + 4000) / 10000
                gongsun = (lmb_avg * 0.8 + gold_avg * 0.8 + exp_avg + 4000) / 10000
                kaltsit = math.ceil((lmb_avg + gold_avg + exp_avg) / 10000)
                stupid = (lmb_avg + exp_avg) / 10000

                output += "====计算结果====\n"
                output += f"订单平均：{lmb_avg:.0f}\n"
                output += f"赤金平均：{gold_avg:.0f}\n"
                output += f"经验平均：{exp_avg:.0f}\n"
                output += f"经验调平：{balanced_exp:.0f}\n"
                output += f"钱书比例：{lmb_exp_ratio:.2f}\n\n"

                output += "======产能======\n"
                output += f"{total:.2f}E = 0.2贸 + 0.8金 + 书 + 4000\n"
                output += f"{gongsun:.2f}公 = 0.8贸 + 0.8金 + 书 + 4000\n"
                output += f"{kaltsit:.0f}凯 = 贸 + 金 + 书向上取整到万\n"
                output += f"{stupid:.1f}友 = 贸 + 书"

            await chain.onebot_reply(Text(output.strip()))
        except Exception as e:
            err_msg = "出错啦！\n"
            err_msg += f"date_list = {date_list}\n"
            err_msg += f"lmb_list = {lmb_list}\n"
            err_msg += f"gold_list = {gold_list}\n"
            err_msg += f"exp_list = {exp_list}\n"
            err_msg += str(e)
            await chain.onebot_reply(Text(err_msg), At("1040110848"))


@as_command(
    need_prefix=False,
    aliases=["裁缝计算"],
    include_class_name=False,
    require_at=False,
)
class TailoringCommand:
    async def initial(self, sender: CommandSender, arg: Optional[Any] = CLIArgument()):
        if not arg or not isinstance(arg, str):
            await sender.reply(Text("请输入效率！"))
            return
        if arg.endswith("%"):
            arg = arg[:-1]
        try:
            efficiency = float(arg)
        except:
            await sender.reply(Text("输入无效！"))
            return
        if efficiency > 30:
            efficiency /= 100
        total_efficiency = efficiency + 1.1
        equiv_efficiency = total_efficiency * 1.2410210128
        gold_efficiency = total_efficiency * (1.2410210128 - 1.0141677) * 1.025
        lmb = equiv_efficiency * 24 * 60 / 70.137931 * 500
        gold = gold_efficiency * 24 * 60 / 72 * 500
        output = f"整站效率：{total_efficiency:.0%}\n"
        output += f"等效贸易：{equiv_efficiency - 1:.0%}\n"
        output += f"等效制造：{gold_efficiency:.0%}\n"
        output += f"订单收益：{lmb:.0f}\n"
        output += f"赤金收益：{gold:.0f}"
        await sender.reply(Text(output))