235 lines
7.9 KiB
Python
235 lines
7.9 KiB
Python
import json
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import os
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from datetime import datetime
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import pandas as pd
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# from .log import logger
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from mower.data import key_mapping
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from mower.utils.log import logger
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# from typing import Dict, List, Union
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from mower.utils.path import get_path
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def 读取仓库():
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path = get_path("@app/tmp/cultivate.json")
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if not os.path.exists(path):
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创建json()
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with open(path, "r", encoding="utf-8") as f:
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depotinfo = json.load(f)
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物品数量 = depotinfo["data"]["items"]
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logger.info(depotinfo["timestamp"])
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time = int(depotinfo["timestamp"])
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新物品1 = {
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key_mapping[item["id"]][2]: int(item["count"])
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for item in 物品数量
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if int(item["count"]) != 0
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}
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csv_path = get_path("@app/tmp/depotresult.csv")
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if not os.path.exists(csv_path):
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创建csv()
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# 读取CSV文件
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depotinfo = pd.read_csv(csv_path)
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# 取出最后一行数据中的物品信息并进行合并
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最后一行物品 = json.loads(depotinfo.iloc[-1, 1])
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新物品 = {**最后一行物品, **新物品1} # 合并字典
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新物品json = {}
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for item in 新物品:
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新物品json[key_mapping[item][0]] = 新物品[item]
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# time = depotinfo.iloc[-1, 0]
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sort = {
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"A常用": [
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"至纯源石",
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"合成玉",
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"寻访凭证",
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"十连寻访凭证",
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"龙门币",
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"高级凭证",
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"资质凭证",
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"招聘许可",
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],
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"B经验卡": ["基础作战记录", "初级作战记录", "中级作战记录", "高级作战记录"],
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"C稀有度5": ["烧结核凝晶", "晶体电子单元", "D32钢", "双极纳米片", "聚合剂"],
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"D稀有度4": [
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"提纯源岩",
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"改量装置",
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"聚酸酯块",
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"糖聚块",
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"异铁块",
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"酮阵列",
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"转质盐聚块",
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"切削原液",
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"精炼溶剂",
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"晶体电路",
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"炽合金块",
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"聚合凝胶",
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"白马醇",
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"三水锰矿",
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"五水研磨石",
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"RMA70-24",
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"环烃预制体",
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"固化纤维板",
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],
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"E稀有度3": [
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"固源岩组",
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"全新装置",
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"聚酸酯组",
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"糖组",
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"异铁组",
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"酮凝集组",
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"转质盐组",
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"化合切削液",
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"半自然溶剂",
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"晶体元件",
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"炽合金",
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"凝胶",
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"扭转醇",
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"轻锰矿",
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"研磨石",
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"RMA70-12",
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"环烃聚质",
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"褐素纤维",
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],
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"F稀有度2": ["固源岩", "装置", "聚酸酯", "糖", "异铁", "酮凝集"],
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"G稀有度1": ["源岩", "破损装置", "酯原料", "代糖", "异铁碎片", "双酮"],
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"H模组": ["模组数据块", "数据增补仪", "数据增补条"],
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"I技能书": ["技巧概要·卷3", "技巧概要·卷2", "技巧概要·卷1"],
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"J芯片相关": [
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"重装双芯片",
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"重装芯片组",
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"重装芯片",
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"狙击双芯片",
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"狙击芯片组",
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"狙击芯片",
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"医疗双芯片",
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"医疗芯片组",
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"医疗芯片",
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"术师双芯片",
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"术师芯片组",
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"术师芯片",
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"先锋双芯片",
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"先锋芯片组",
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"先锋芯片",
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"近卫双芯片",
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"近卫芯片组",
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"近卫芯片",
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"辅助双芯片",
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"辅助芯片组",
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"辅助芯片",
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"特种双芯片",
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"特种芯片组",
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"特种芯片",
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"采购凭证",
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"芯片助剂",
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],
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"K未分类": [],
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}
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classified_data = {}
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classified_data["K未分类"] = {}
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for category, items in sort.items():
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classified_data[category] = {
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item: {"number": 0, "sort": key_mapping[item][4], "icon": item}
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for item in items
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}
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for key, value in 新物品.items():
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found_category = False
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for category, items in sort.items():
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if key in items:
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classified_data[category][key] = {
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"number": value,
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"sort": key_mapping[key][4],
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"icon": key,
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}
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found_category = True
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break
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if not found_category:
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# 如果未找到匹配的分类，则放入 "K未分类" 中
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classified_data["K未分类"][key] = {
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"number": value,
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"sort": key_mapping[key][4],
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"icon": key,
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}
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classified_data["B经验卡"]["全部经验（计算）"] = {
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"number": (
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classified_data["B经验卡"]["基础作战记录"]["number"] * 200
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+ classified_data["B经验卡"]["初级作战记录"]["number"] * 400
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+ classified_data["B经验卡"]["中级作战记录"]["number"] * 1000
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+ classified_data["B经验卡"]["高级作战记录"]["number"] * 2000
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),
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"sort": 9999999,
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"icon": "EXP",
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}
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合成玉数量 = classified_data["A常用"].get("合成玉", {"number": 0})["number"]
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寻访凭证数量 = (
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classified_data["A常用"].get("寻访凭证", {"number": 0})["number"]
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+ classified_data["A常用"].get("十连寻访凭证", {"number": 0})["number"] * 10
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)
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源石数量 = classified_data["A常用"].get("至纯源石", {"number": 0})["number"]
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源石碎片 = classified_data["K未分类"].get("源石碎片", {"number": 0})["number"]
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土 = classified_data["F稀有度2"].get("固源岩", {"number": 0})["number"]
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classified_data["A常用"]["玉+卷"] = {
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"number": round(合成玉数量 / 600 + 寻访凭证数量, 1),
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"sort": 9999999,
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"icon": "寻访凭证",
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}
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classified_data["A常用"]["玉+卷+石"] = {
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"number": round((合成玉数量 + 源石数量 * 180) / 600 + 寻访凭证数量, 1),
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"sort": 9999999,
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"icon": "寻访凭证",
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}
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classified_data["A常用"]["额外+碎片"] = {
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"number": round(
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(合成玉数量 + 源石数量 * 180 + int(源石碎片 / 2) * 20) / 600 + 寻访凭证数量,
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1,
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),
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"sort": 9999999,
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"icon": "寻访凭证",
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}
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待定碎片 = int(土 / 2)
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classified_data["A常用"]["额外+碎片+土"] = {
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"number": round(
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(合成玉数量 + 源石数量 * 180 + int((源石碎片 + 待定碎片) / 2) * 20) / 600
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+ 寻访凭证数量,
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1,
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),
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"sort": 9999999,
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"icon": "寻访凭证",
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}
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return [
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classified_data,
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json.dumps(新物品json),
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str(datetime.fromtimestamp(int(time))),
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]
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def 创建csv():
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path = get_path("@app/tmp/depotresult.csv")
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now_time = int(datetime.now().timestamp()) - 24 * 3600
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result = [
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now_time,
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json.dumps({"还未开始过扫描": 0}, ensure_ascii=False),
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json.dumps({"空": ""}, ensure_ascii=False),
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]
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depotinfo = pd.DataFrame([result], columns=["Timestamp", "Data", "json"])
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depotinfo.to_csv(path, mode="a", index=False, header=True, encoding="utf-8")
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def 创建json():
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path = get_path("@app/tmp/cultivate.json")
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a = {
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"code": 0,
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"message": "OK",
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"timestamp": "0",
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"data": {"items": [{"id": "0", "count": "0"}]},
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}
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with open(path, "w", encoding="utf-8") as f:
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json.dump(a, f)
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