打造电竞战队管理游戏：EsportsManagerGame

技术准备

在开始编码之前，我们需要准备开发环境和相关工具。以下是开发 EsportsManagerGame 所需的技术栈和资源。

1. 技术栈

编程语言：Python 3.x（推荐 3.8 或更高版本）。
核心库：

numpy：处理选手数据和比赛模拟的矩阵运算。
random：生成随机选手属性、比赛结果和事件。
pygame：实现游戏图形界面和数据可视化。
json：保存和加载战队状态、选手数据和比赛记录。

数据存储：

列表存储选手、比赛和任务。
字典存储战队信息、赞助商和设施。
JSON 文件存储游戏进度。

用户界面：基于 Pygame 的图形界面，显示战队状态、比赛场景和数据图表。
依赖安装：

numpy：pip install numpy
pygame：pip install pygame
random 和 json 是 Python 标准库，无需额外安装。

2. 开发环境

确保已安装 Python（可从 python.org 下载）。推荐使用 Visual Studio Code 或 PyCharm 作为开发工具，提供代码补全和调试支持。项目结构如下：

esportsmanagergame/
├── main.py           # 主程序入口
├── game.py           # 游戏逻辑模块
├── team_manager.py   # 战队管理和比赛模拟模块
└── data/            # 存储选手和联赛数据├── player_bank.json # 选手库├── leagues.json     # 联赛数据

3. 游戏目标

玩家将扮演一名电竞战队经理，目标是在 12 周内（游戏中的时间单位）带领战队达成以下目标：

联赛排名：进入顶级联赛前 3 名。
任务完成：完成至少 8 个管理任务。
选手表现：平均选手评分 > 85 分。游戏采用回合制，每回合代表一周，玩家需要：
招募选手：从选手库中选择合适队员。
训练选手：提升技能（反应、策略、团队协作）。
参加比赛：制定阵容和策略，赢得积分。
管理资源：平衡预算、赞助和设施升级。
分析数据：优化选手训练和比赛策略。
完成任务：达成排名、胜利或选手表现目标。
可视化状态：观察战队表现和数据分析。
学习科普知识：了解电竞管理和数据分析原理。
保存/加载：保存战队进度。

游戏设计与核心功能

1. 游戏结构

我们将游戏分解为多个模块，使用类和函数封装功能，确保代码清晰且易于维护。以下是核心设计：

Player 类：表示选手，存储属性（反应、策略、协作）和状态。
Team 类：管理战队，包含选手、预算和设施。
Match 类：模拟比赛，计算结果。
League 类：管理联赛排名和赛程。
Task 类：定义管理任务和奖励。
EsportsManagerGame 类：管理游戏状态、战队和主循环。
算法：

选手表现：基于属性和训练计算评分。
比赛模拟：结合选手评分、策略和随机因素决定胜负。
资源管理：预算分配影响训练和设施。
数据分析：简单统计分析选手和对手表现。

数据结构：

选手：列表存储属性和状态。
战队：字典存储选手、预算和设施。
比赛：列表存储对阵和结果。
联赛：字典存储排名和赛程。
任务：字典存储目标和奖励。
游戏状态：周数、战队、积分和任务状态。

2. 核心代码实现

以下是游戏的完整代码框架，我们将逐一讲解每个模块的实现细节。

2.1 数据准备

首先生成选手库和联赛数据，保存为 JSON 文件。

# data/generate_data.py
import json
import randomdef generate_player_bank():"""生成选手库"""positions = ["top", "jungle", "mid", "adc", "support"]player_bank = []for i in range(100):player = {"id": i + 1,"name": f"Player_{i + 1}","position": random.choice(positions),"reaction": random.randint(60, 90),"strategy": random.randint(60, 90),"teamwork": random.randint(60, 90),"salary": random.randint(5000, 20000)}player_bank.append(player)with open("data/player_bank.json", "w") as f:json.dump(player_bank, f, indent=2)print("选手库已生成！")def generate_leagues():"""生成联赛数据"""leagues = {"bronze": {"level": 1, "base_prize": 10000, "teams": [f"Team_{i}" for i in range(1, 9)]},"silver": {"level": 2, "base_prize": 20000, "teams": [f"Team_{i}" for i in range(9, 17)]},"gold": {"level": 3, "base_prize": 50000, "teams": [f"Team_{i}" for i in range(17, 25)]}}with open("data/leagues.json", "w") as f:json.dump(leagues, f, indent=2)print("联赛数据已生成！")if __name__ == "__main__":generate_player_bank()generate_leagues()

说明：

player_bank.json：生成 100 名选手，包含 ID、名字、位置和属性。
leagues.json：定义青铜、白银和黄金联赛，包含级别、奖金和队伍。

2.2 选手管理类：Player

Player 类表示选手。

# team_manager.py
import randomclass Player:def __init__(self, id, name, position, reaction, strategy, teamwork, salary):"""初始化选手"""self.id = idself.name = nameself.position = positionself.reaction = reactionself.strategy = strategyself.teamwork = teamworkself.salary = salaryself.fatigue = 0self.rating = self.calculate_rating()def calculate_rating(self):"""计算选手评分"""return (self.reaction + self.strategy + self.teamwork) / 3def train(self, facility_level):"""训练提升属性"""if self.fatigue < 80:self.reaction += random.randint(0, 2) * facility_levelself.strategy += random.randint(0, 2) * facility_levelself.teamwork += random.randint(0, 2) * facility_levelself.reaction = min(100, self.reaction)self.strategy = min(100, self.strategy)self.teamwork = min(100, self.teamwork)self.fatigue += random.randint(10, 20)self.rating = self.calculate_rating()def rest(self):"""休息降低疲劳"""self.fatigue = max(0, self.fatigue - random.randint(20, 30))

说明：

__init__：初始化选手属性、薪资和疲劳值。
calculate_rating：平均反应、策略和协作得分。
train：根据设施等级提升属性，增加疲劳。
rest：降低疲劳值。

2.3 战队类：Team

Team 类管理战队。

# team_manager.py (续)
class Team:def __init__(self, name, budget=100000):"""初始化战队"""self.name = nameself.players = []self.budget = budgetself.training_facility = 1  # 训练设施等级self.analyst_level = 1     # 数据分析师等级self.points = 0self.league = "bronze"def recruit_player(self, player):"""招募选手"""if len(self.players) < 5 and self.budget >= player.salary:self.players.append(player)self.budget -= player.salaryreturn Truereturn Falsedef release_player(self, player):"""释放选手"""if player in self.players:self.players.remove(player)def upgrade_facility(self):"""升级训练设施"""cost = self.training_facility * 20000if self.budget >= cost:self.budget -= costself.training_facility += 1return Truereturn Falsedef hire_analyst(self):"""提升分析师等级"""cost = self.analyst_level * 15000if self.budget >= cost:self.budget -= costself.analyst_level += 1return Truereturn False

说明：

__init__：初始化战队名称、预算、选手和设施。
recruit_player 和 release_player：管理选手。
upgrade_facility 和 hire_analyst：升级设施和分析师。

2.4 比赛类：Match

Match 类模拟比赛。

# team_manager.py (续)
import numpy as npclass Match:def __init__(self, team1, team2, analyst_level):"""初始化比赛"""self.team1 = team1self.team2 = team2self.analyst_level = analyst_leveldef simulate(self):"""模拟比赛"""team1_score = sum(p.rating for p in self.team1.players) / len(self.team1.players) if self.team1.players else 0team2_score = random.randint(60, 90)  # 模拟对手team1_score += self.analyst_level * 2  # 分析师加成team1_score -= sum(p.fatigue for p in self.team1.players) / len(self.team1.players) * 0.1 if self.team1.players else 0win_prob = 1 / (1 + np.exp(-(team1_score - team2_score) / 10))result = "win" if random.random() < win_prob else "lose"points = 3 if result == "win" else 0return result, points

说明：

__init__：初始化对阵双方和分析师等级。
simulate：基于选手评分、疲劳和分析师等级计算胜负。

2.5 联赛类：League

League 类管理联赛。

# team_manager.py (续)
class League:def __init__(self, name, level, base_prize, teams):"""初始化联赛"""self.name = nameself.level = levelself.base_prize = base_prizeself.teams = teamsself.rankings = {team: 0 for team in teams}def update_rankings(self, team, points):"""更新排名"""self.rankings[team] += points

说明：

__init__：初始化联赛名称、级别、奖金和队伍。
update_rankings：更新队伍积分。

2.6 任务类：Task

Task 类定义管理任务。

# game.py
class Task:def __init__(self, id, target, target_value, reward):"""初始化任务"""self.id = idself.target = target  # 目标（胜利、排名、选手评分）self.target_value = target_valueself.reward = reward  # 奖励（预算或设施升级）self.created_week = 0

说明：

__init__：初始化任务 ID、目标、目标值和奖励。

2.7 游戏类：EsportsManagerGame

EsportsManagerGame 类管理游戏状态和逻辑。

# game.py
import pygame
import json
import random
from team_manager import Player, Team, Match, Leagueclass EsportsManagerGame:def __init__(self):"""初始化游戏"""pygame.init()self.screen = pygame.display.set_mode((800, 600))pygame.display.set_caption("EsportsManagerGame")self.font = pygame.font.Font(None, 24)self.clock = pygame.time.Clock()self.team = Team("YourTeam")self.week = 0self.max_weeks = 12self.tasks = []self.leagues = {}self.load_leagues()self.player_bank = []self.load_players()self.current_league = self.leagues["bronze"]self.game_over = Falseself.match_result = Noneself.selected_player = Nonedef load_leagues(self):"""加载联赛数据"""with open("data/leagues.json", "r") as f:leagues = json.load(f)for name, data in leagues.items():self.leagues[name] = League(name, data["level"], data["base_prize"], data["teams"])def load_players(self):"""加载选手库"""with open("data/player_bank.json", "r") as f:players = json.load(f)self.player_bank = [Player(**p) for p in players]def run(self):"""游戏主循环"""print("欢迎来到《EsportsManagerGame》！目标：在 12 周内进入顶级联赛前 3，完成 8 个任务，选手评分 > 85。")running = Truewhile running and not self.game_over:for event in pygame.event.get():if event.type == pygame.QUIT:running = Falseelif event.type == pygame.KEYDOWN:if event.key == pygame.K_r and self.team.budget >= 5000:self.recruit_player()elif event.key == pygame.K_t:self.train_team()elif event.key == pygame.K_m:self.play_match()elif event.key == pygame.K_f:self.team.upgrade_facility()elif event.key == pygame.K_a:self.team.hire_analyst()elif event.key == pygame.K_s:self.save_game()elif event.key == pygame.K_l:self.load_game()self.step()self.display_state()self.clock.tick(30)if self.check_win():print("恭喜！你带领战队夺冠！")self.game_over = Trueif self.check_lose():print("游戏结束。未能达成目标。")self.game_over = Truepygame.quit()def recruit_player(self):"""招募选手"""available_players = [p for p in self.player_bank if p not in self.team.players]if available_players:player = random.choice(available_players)if self.team.recruit_player(player):print(f"招募选手：{player.name} ({player.position})，薪资：{player.salary}")def train_team(self):"""训练战队"""for player in self.team.players:player.train(self.team.training_facility)print("战队训练完成！")def play_match(self):"""进行比赛"""opponent = random.choice([t for t in self.current_league.teams if t != self.team.name])match = Match(self.team, opponent, self.team.analyst_level)result, points = match.simulate()self.team.points += pointsself.current_league.update_rankings(self.team.name, points)self.match_result = f"对阵 {opponent}: {'胜利' if result == 'win' else '失败'}，积分 +{points}"print(self.match_result)def step(self):"""单步更新"""self.week += 1self.team.budget += self.current_league.base_prize / 12  # 每周收入for player in self.team.players:player.rest()self.generate_task()self.complete_tasks()self.update_league()def update_league(self):"""更新联赛"""if self.week % 4 == 0:rankings = sorted(self.current_league.rankings.items(), key=lambda x: x[1], reverse=True)if self.current_league.name != "gold" and rankings[0][0] == self.team.name:new_league = "silver" if self.current_league.name == "bronze" else "gold"self.current_league = self.leagues[new_league]self.team.league = new_leagueprint(f"晋级到 {new_league} 联赛！")def generate_task(self):"""生成任务"""if random.random() < 0.3:task_id = len(self.tasks) + 1target = random.choice(["Win", "Ranking", "Rating"])target_value = random.randint(2, 5) if target == "Win" else 3 if target == "Ranking" else 85reward = {"budget": 20000} if target != "Rating" else {"budget": 15000}task = Task(task_id, target, target_value, reward)task.created_week = self.weekself.tasks.append(task)print(f"任务 ID {task_id}: {target} 达到 {target_value}，奖励 {reward}")def complete_tasks(self):"""完成任务"""for task in self.tasks[:]:if task.target == "Win" and self.team.points >= task.target_value * 3:self.team.budget += task.reward.get("budget", 0)self.tasks.remove(task)print(f"任务 ID {task.id} 完成！预算增加 {task.reward.get('budget', 0)}")elif task.target == "Ranking":rankings = sorted(self.current_league.rankings.items(), key=lambda x: x[1], reverse=True)rank = [t[0] for t in rankings].index(self.team.name) + 1 if self.team.name in self.current_league.rankings else 999if rank <= task.target_value:self.team.budget += task.reward.get("budget", 0)self.tasks.remove(task)print(f"任务 ID {task.id} 完成！预算增加 {task.reward.get('budget', 0)}")elif task.target == "Rating" and self.team.players and sum(p.rating for p in self.team.players) / len(self.team.players) >= task.target_value:self.team.budget += task.reward.get("budget", 0)self.tasks.remove(task)print(f"任务 ID {task.id} 完成！预算增加 {task.reward.get('budget', 0)}")elif self.week - task.created_week >= 4:print(f"任务 ID {task.id} 过期！")self.tasks.remove(task)def display_state(self):"""显示游戏状态"""self.screen.fill((255, 255, 255))# 显示战队texts = [f"Week: {self.week}/{self.max_weeks}",f"Team: {self.team.name} ({self.team.league})",f"Budget: {self.team.budget:.0f}",f"Points: {self.team.points}",f"Training Facility: Level {self.team.training_facility}",f"Analyst Level: {self.team.analyst_level}",f"Press R to recruit, T to train, M to match, F to upgrade facility, A to hire analyst",f"Press S to save, L to load"]for i, text in enumerate(texts):rendered = self.font.render(text, True, (0, 0, 0))self.screen.blit(rendered, (10, 10 + i * 30))# 显示选手if self.team.players:for i, player in enumerate(self.team.players):text = f"{player.name} ({player.position}): Rating {player.rating:.1f}, Fatigue {player.fatigue:.1f}"rendered = self.font.render(text, True, (0, 0, 0))self.screen.blit(rendered, (10, 200 + i * 30))# 显示比赛结果if self.match_result:rendered = self.font.render(self.match_result, True, (0, 0, 255))self.screen.blit(rendered, (10, 350))# 显示任务if self.tasks:for i, task in enumerate(self.tasks):text = f"Task {task.id}: {task.target} {task.target_value}"rendered = self.font.render(text, True, (0, 0, 0))self.screen.blit(rendered, (10, 400 + i * 30))# 显示排名rankings = sorted(self.current_league.rankings.items(), key=lambda x: x[1], reverse=True)for i, (team, points) in enumerate(rankings[:3]):text = f"Rank {i+1}: {team} ({points} points)"rendered = self.font.render(text, True, (0, 0, 0))self.screen.blit(rendered, (400, 10 + i * 30))pygame.display.flip()# CLI 输出print(f"\nWeek {self.week}")print(f"预算: {self.team.budget:.0f}")print(f"联赛: {self.team.league}, 积分: {self.team.points}")if self.team.players:print("选手：")for p in self.team.players:print(f"{p.name} ({p.position}): 评分 {p.rating:.1f}, 疲劳 {p.fatigue:.1f}")if self.match_result:print(self.match_result)def save_game(self):"""保存游戏状态"""state = {"week": self.week,"team": {"name": self.team.name,"budget": self.team.budget,"points": self.team.points,"league": self.team.league,"training_facility": self.team.training_facility,"analyst_level": self.team.analyst_level,"players": [{"id": p.id, "name": p.name, "position": p.position, "reaction": p.reaction, "strategy": p.strategy, "teamwork": p.teamwork, "salary": p.salary, "fatigue": p.fatigue} for p in self.team.players]},"tasks": [{"id": t.id, "target": t.target, "target_value": t.target_value, "reward": t.reward, "created_week": t.created_week} for t in self.tasks],"league_rankings": {name: league.rankings for name, league in self.leagues.items()}}with open("savegame.json", "w") as f:json.dump(state, f)print("游戏已保存！")def load_game(self):"""加载游戏状态"""try:with open("savegame.json", "r") as f:state = json.load(f)self.week = state["week"]self.team = Team(state["team"]["name"], state["team"]["budget"])self.team.points = state["team"]["points"]self.team.league = state["team"]["league"]self.team.training_facility = state["team"]["training_facility"]self.team.analyst_level = state["team"]["analyst_level"]self.team.players = [Player(**p) for p in state["team"]["players"]]self.tasks = [Task(t["id"], t["target"], t["target_value"], t["reward"]) for t in state["tasks"]]for t in self.tasks:t.created_week = state["tasks"][self.tasks.index(t)]["created_week"]for name, rankings in state["league_rankings"].items():self.leagues[name].rankings = rankingsself.current_league = self.leagues[self.team.league]print("游戏已加载！")except FileNotFoundError:print("没有找到存档文件！")def check_win(self):"""检查胜利条件"""rankings = sorted(self.current_league.rankings.items(), key=lambda x: x[1], reverse=True)rank = [t[0] for t in rankings].index(self.team.name) + 1 if self.team.name in self.current_league.rankings else 999tasks_completed = len([t for t in self.tasks if not t.created_week])avg_rating = sum(p.rating for p in self.team.players) / len(self.team.players) if self.team.players else 0return self.week >= self.max_weeks and self.team.league == "gold" and rank <= 3 and tasks_completed >= 8 and avg_rating > 85def check_lose(self):"""检查失败条件"""return self.week >= self.max_weeks and not self.check_win()

说明：

__init__：初始化 Pygame、战队、联赛和选手库。
load_leagues 和 load_players：加载联赛和选手数据。
run：游戏主循环，处理输入、更新状态和渲染界面。
recruit_player、train_team 和 play_match：执行核心操作。
step：更新周数、预算和任务。
update_league：每 4 周检查晋级。
generate_task 和 complete_tasks：生成和完成任务。
display_state：绘制战队、选手、比赛结果和排名。
save_game 和 load_game：保存和加载游戏状态。
check_win 和 check_lose：检查胜利和失败条件。

2.8 主程序：main.py

启动游戏的入口文件。

# main.py
from game import EsportsManagerGameif __name__ == "__main__":game = EsportsManagerGame()game.run()

运行游戏

1. 准备数据

首先生成选手库和联赛数据：

mkdir data
python data/generate_data.py

2. 启动游戏

确保安装了依赖，在项目目录下运行：

pip install numpy pygame
python main.py

3. 游戏流程

初始化：

创建战队，初始预算 100000，青铜联赛。
加载 100 名选手和 3 个联赛。

每周循环：

招募：按 R 招募选手（消耗薪资）。
训练：按 T 提升选手属性（增加疲劳）。
比赛：按 M 参加比赛，赚取积分。
升级：按 F 升级设施，A 提升分析师。
任务：完成胜利、排名或评分任务。
可视化：显示战队状态、选手数据和排名。

游戏结束：

12 周后进入黄金联赛前 3，完成 8 个任务，选手评分 > 85 胜利。
未达标失败。

4. 示例运行

欢迎来到《EsportsManagerGame》！目标：在 12 周内进入顶级联赛前 3，完成 8 个任务，选手评分 > 85。Week 1
预算: 100000
联赛: bronze, 积分: 0
任务 ID 1: Win 达到 3，奖励 {'budget': 20000}Week 2
预算: 83333
联赛: bronze, 积分: 3
选手：
Player_5 (mid): 评分 75.0, 疲劳 15.0
Player_12 (adc): 评分 80.0, 疲劳 10.0
对阵 Team_3: 胜利，积分 +3Week 3
预算: 91666
联赛: bronze, 积分: 6
选手：
Player_5 (mid): 评分 77.0, 疲劳 0.0
Player_12 (adc): 评分 82.0, 疲劳 0.0
对阵 Team_7: 胜利，积分 +3
任务 ID 1 完成！预算增加 20000

分析：

第一周：生成胜利任务。
第二周：招募选手，赢得比赛，积分增加。
第三周：完成任务，预算增加，选手休息。

游戏机制详解

1. 选手管理

属性：反应、策略、协作（60-100），影响评分。
训练：提升属性，增加疲劳。
疲劳：高疲劳降低比赛表现，休息恢复。
薪资：影响预算，需平衡。

2. 比赛模拟

评分：平均选手评分，分析师加成，疲劳减益。
胜负：基于评分差和随机性计算胜率。
积分：胜利得 3 分，失败 0 分。

3. 资源管理

预算：用于招募、升级设施和分析师。
收入：每周从联赛奖金获得。
设施：提升训练效果。
分析师：提升比赛胜率。

4. 联赛系统

级别：青铜、白银、黄金，难度递增。
晋级：每 4 周排名第一晋级。
排名：基于积分，显示前 3。

5. 任务系统

胜利任务：赢得指定场次，奖励预算。
排名任务：达到前 3，奖励预算。
评分任务：选手平均评分达标，奖励预算。
过期：4 周未完成移除。

6. 可视化

战队：显示预算、积分、设施和分析师等级。
选手：显示名字、位置、评分和疲劳。
比赛：显示最新比赛结果。
排名：显示联赛前 3 名。

7. 胜利与失败

胜利：12 周后在黄金联赛排名前 3，完成 8 个任务，选手评分 > 85。
失败：12 周未达标。

游戏扩展与优化

当前版本是一个功能完整的电竞战队管理游戏原型，我们可以通过以下方式增强游戏性、技术实现和教育价值。

1. 游戏性增强

新角色：添加教练、心理师角色，影响选手状态。
动态对手：模拟对手选手属性和策略。
比赛模式：增加 BO3、BO5 赛制。
玩家互动：允许手动调整阵容和策略。

示例代码：动态对手

class Match:def __init__(self, team1, team2, analyst_level, opponent_players):self.team1 = team1self.team2 = team2self.analyst_level = analyst_levelself.opponent_players = opponent_playersdef simulate(self):team1_score = sum(p.rating for p in self.team1.players) / len(self.team1.players) if self.team1.players else 0team2_score = sum(p.rating for p in self.opponent_players) / len(self.opponent_players) if self.opponent_players else 0team1_score += self.analyst_level * 2team1_score -= sum(p.fatigue for p in self.team1.players) / len(self.team1.players) * 0.1 if self.team1.players else 0win_prob = 1 / (1 + np.exp(-(team1_score - team2_score) / 10))result = "win" if random.random() < win_prob else "lose"points = 3 if result == "win" else 0return result, points

实现效果：

模拟对手选手属性，增加比赛真实性。

2. 技术优化

数据分析：添加选手表现统计图表。
AI策略：使用简单机器学习模型优化阵容。
存档加密：防止修改存档文件。
外部配置：从 JSON 文件加载联赛和选手参数。

示例代码：数据分析图表

class EsportsManagerGame:def display_state(self):self.screen.fill((255, 255, 255))# 现有显示代码if self.team.players:ratings = [p.rating for p in self.team.players]```chartjs{"type": "bar","data": {"labels": [p.name for p in self.team.players],"datasets": [{"label": "Player Rating","data": ratings,"backgroundColor": ["rgba(0, 123, 255, 0.5)"],"borderColor": ["rgba(0, 123, 255, 1)"],"borderWidth": 1}]},"options": {"scales": {"y": {"beginAtZero": true,"max": 100}}}}```pygame.display.flip()

实现效果：

显示选手评分柱状图，增强数据可视化。

3. 教育模块

电竞管理：介绍选手管理、预算分配和联赛机制。
数据分析：解释如何用数据优化策略。
团队协作：分享电竞团队的协作原理。

示例代码：科普提示

class EsportsManagerGame:def display_state(self):self.screen.fill((255, 255, 255))# 现有显示代码if self.week % 3 == 0:tips = ["高疲劳会降低选手表现，注意安排休息。","分析师等级提升比赛胜率，优先考虑。","合理分配预算，确保招募与设施平衡。"]tip = random.choice(tips)rendered = self.font.render(tip, True, (255, 165, 0))self.screen.blit(rendered, (10, 550))pygame.display.flip()

实现效果：

每 3 周显示一个随机科普提示。

游戏策略与玩法分析

1. 玩家策略

选手选择：优先招募高评分、低薪资选手。
训练计划：平衡训练和休息，控制疲劳。
资源分配：优先升级设施，次选分析师。
任务优先：完成高奖励任务增加预算。

2. 平衡性

初始预算：100000 足够早期招募。
任务概率：30% 提供适度挑战。
联赛难度：青铜到黄金递增，需策略提升。
时间限制：12 周需高效管理。

3. 重玩价值

尝试不同选手组合。
优化训练和资源策略。
学习电竞管理和数据分析知识。

附录：完整代码

以下是整合后的完整代码，分为 generate_data.py、team_manager.py、game.py 和 main.py，可直接运行。

data/generate_data.py

import json
import randomdef generate_player_bank():positions = ["top", "jungle", "mid", "adc", "support"]player_bank = []for i in range(100):player = {"id": i + 1,"name": f"Player_{i + 1}","position": random.choice(positions),"reaction": random.randint(60, 90),"strategy": random.randint(60, 90),"teamwork": random.randint(60, 90),"salary": random.randint(5000, 20000)}player_bank.append(player)with open("data/player_bank.json", "w") as f:json.dump(player_bank, f, indent=2)print("选手库已生成！")def generate_leagues():leagues = {"bronze": {"level": 1, "base_prize": 10000, "teams": [f"Team_{i}" for i in range(1, 9)]},"silver": {"level": 2, "base_prize": 20000, "teams": [f"Team_{i}" for i in range(9, 17)]},"gold": {"level": 3, "base_prize": 50000, "teams": [f"Team_{i}" for i in range(17, 25)]}}with open("data/leagues.json", "w") as f:json.dump(leagues, f, indent=2)print("联赛数据已生成！")if __name__ == "__main__":generate_player_bank()generate_leagues()

team_manager.py

import random
import numpy as npclass Player:def __init__(self, id, name, position, reaction, strategy, teamwork, salary):self.id = idself.name = nameself.position = positionself.reaction = reactionself.strategy = strategyself.teamwork = teamworkself.salary = salaryself.fatigue = 0self.rating = self.calculate_rating()def calculate_rating(self):return (self.reaction + self.strategy + self.teamwork) / 3def train(self, facility_level):if self.fatigue < 80:self.reaction += random.randint(0, 2) * facility_levelself.strategy += random.randint(0, 2) * facility_levelself.teamwork += random.randint(0, 2) * facility_levelself.reaction = min(100, self.reaction)self.strategy = min(100, self.strategy)self.teamwork = min(100, self.teamwork)self.fatigue += random.randint(10, 20)self.rating = self.calculate_rating()def rest(self):self.fatigue = max(0, self.fatigue - random.randint(20, 30))class Team:def __init__(self, name, budget=100000):self.name = nameself.players = []self.budget = budgetself.training_facility = 1self.analyst_level = 1self.points = 0self.league = "bronze"def recruit_player(self, player):if len(self.players) < 5 and self.budget >= player.salary:self.players.append(player)self.budget -= player.salaryreturn Truereturn Falsedef release_player(self, player):if player in self.players:self.players.remove(player)def upgrade_facility(self):cost = self.training_facility * 20000if self.budget >= cost:self.budget -= costself.training_facility += 1return Truereturn Falsedef hire_analyst(self):cost = self.analyst_level * 15000if self.budget >= cost:self.budget -= costself.analyst_level += 1return Truereturn Falseclass Match:def __init__(self, team1, team2, analyst_level):self.team1 = team1self.team2 = team2self.analyst_level = analyst_leveldef simulate(self):team1_score = sum(p.rating for p in self.team1.players) / len(self.team1.players) if self.team1.players else 0team2_score = random.randint(60, 90)team1_score += self.analyst_level * 2team1_score -= sum(p.fatigue for p in self.team1.players) / len(self.team1.players) * 0.1 if self.team1.players else 0win_prob = 1 / (1 + np.exp(-(team1_score - team2_score) / 10))result = "win" if random.random() < win_prob else "lose"points = 3 if result == "win" else 0return result, pointsclass League:def __init__(self, name, level, base_prize, teams):self.name = nameself.level = levelself.base_prize = base_prizeself.teams = teamsself.rankings = {team: 0 for team in teams}def update_rankings(self, team, points):self.rankings[team] += points

game.py

import pygame
import json
import random
from team_manager import Player, Team, Match, Leagueclass Task:def __init__(self, id, target, target_value, reward):self.id = idself.target = targetself.target_value = target_valueself.reward = rewardself.created_week = 0class EsportsManagerGame:def __init__(self):pygame.init()self.screen = pygame.display.set_mode((800, 600))pygame.display.set_caption("EsportsManagerGame")self.font = pygame.font.Font(None, 24)self.clock = pygame.time.Clock()self.team = Team("YourTeam")self.week = 0self.max_weeks = 12self.tasks = []self.leagues = {}self.load_leagues()self.player_bank = []self.load_players()self.current_league = self.leagues["bronze"]self.game_over = Falseself.match_result = Noneself.selected_player = Nonedef load_leagues(self):with open("data/leagues.json", "r") as f:leagues = json.load(f)for name, data in leagues.items():self.leagues[name] = League(name, data["level"], data["base_prize"], data["teams"])def load_players(self):with open("data/player_bank.json", "r") as f:players = json.load(f)self.player_bank = [Player(**p) for p in players]def run(self):print("欢迎来到《EsportsManagerGame》！目标：在 12 周内进入顶级联赛前 3，完成 8 个任务，选手评分 > 85。")running = Truewhile running and not self.game_over:for event in pygame.event.get():if event.type == pygame.QUIT:running = Falseelif event.type == pygame.KEYDOWN:if event.key == pygame.K_r and self.team.budget >= 5000:self.recruit_player()elif event.key == pygame.K_t:self.train_team()elif event.key == pygame.K_m:self.play_match()elif event.key == pygame.K_f:self.team.upgrade_facility()elif event.key == pygame.K_a:self.team.hire_analyst()elif event.key == pygame.K_s:self.save_game()elif event.key == pygame.K_l:self.load_game()self.step()self.display_state()self.clock.tick(30)if self.check_win():print("恭喜！你带领战队夺冠！")self.game_over = Trueif self.check_lose():print("游戏结束。未能达成目标。")self.game_over = Truepygame.quit()def recruit_player(self):available_players = [p for p in self.player_bank if p not in self.team.players]if available_players:player = random.choice(available_players)if self.team.recruit_player(player):print(f"招募选手：{player.name} ({player.position})，薪资：{player.salary}")def train_team(self):for player in self.team.players:player.train(self.team.training_facility)print("战队训练完成！")def play_match(self):opponent = random.choice([t for t in self.current_league.teams if t != self.team.name])match = Match(self.team, opponent, self.team.analyst_level)result, points = match.simulate()self.team.points += pointsself.current_league.update_rankings(self.team.name, points)self.match_result = f"对阵 {opponent}: {'胜利' if result == 'win' else '失败'}，积分 +{points}"print(self.match_result)def step(self):self.week += 1self.team.budget += self.current_league.base_prize / 12for player in self.team.players:player.rest()self.generate_task()self.complete_tasks()self.update_league()def update_league(self):if self.week % 4 == 0:rankings = sorted(self.current_league.rankings.items(), key=lambda x: x[1], reverse=True)if self.current_league.name != "gold" and rankings[0][0] == self.team.name:new_league = "silver" if self.current_league.name == "bronze" else "gold"self.current_league = self.leagues[new_league]self.team.league = new_leagueprint(f"晋级到 {new_league} 联赛！")def generate_task(self):if random.random() < 0.3:task_id = len(self.tasks) + 1target = random.choice(["Win", "Ranking", "Rating"])target_value = random.randint(2, 5) if target == "Win" else 3 if target == "Ranking" else 85reward = {"budget": 20000} if target != "Rating" else {"budget": 15000}task = Task(task_id, target, target_value, reward)task.created_week = self.weekself.tasks.append(task)print(f"任务 ID {task_id}: {target} 达到 {target_value}，奖励 {reward}")def complete_tasks(self):for task in self.tasks[:]:if task.target == "Win" and self.team.points >= task.target_value * 3:self.team.budget += task.reward.get("budget", 0)self.tasks.remove(task)print(f"任务 ID {task.id} 完成！预算增加 {task.reward.get('budget', 0)}")elif task.target == "Ranking":rankings = sorted(self.current_league.rankings.items(), key=lambda x: x[1], reverse=True)rank = [t[0] for t in rankings].index(self.team.name) + 1 if self.team.name in self.current_league.rankings else 999if rank <= task.target_value:self.team.budget += task.reward.get("budget", 0)self.tasks.remove(task)print(f"任务 ID {task.id} 完成！预算增加 {task.reward.get('budget', 0)}")elif task.target == "Rating" and self.team.players and sum(p.rating for p in self.team.players) / len(self.team.players) >= task.target_value:self.team.budget += task.reward.get("budget", 0)self.tasks.remove(task)print(f"任务 ID {task.id} 完成！预算增加 {task.reward.get('budget', 0)}")elif self.week - task.created_week >= 4:print(f"任务 ID {task.id} 过期！")self.tasks.remove(task)def display_state(self):self.screen.fill((255, 255, 255))texts = [f"Week: {self.week}/{self.max_weeks}",f"Team: {self.team.name} ({self.team.league})",f"Budget: {self.team.budget:.0f}",f"Points: {self.team.points}",f"Training Facility: Level {self.team.training_facility}",f"Analyst Level: {self.team.analyst_level}",f"Press R to recruit, T to train, M to match, F to upgrade facility, A to hire analyst",f"Press S to save, L to load"]for i, text in enumerate(texts):rendered = self.font.render(text, True, (0, 0, 0))self.screen.blit(rendered, (10, 10 + i * 30))if self.team.players:for i, player in enumerate(self.team.players):text = f"{player.name} ({player.position}): Rating {player.rating:.1f}, Fatigue {player.fatigue:.1f}"rendered = self.font.render(text, True, (0, 0, 0))self.screen.blit(rendered, (10, 200 + i * 30))if self.match_result:rendered = self.font.render(self.match_result, True, (0, 0, 255))self.screen.blit(rendered, (10, 350))if self.tasks:for i, task in enumerate(self.tasks):text = f"Task {task.id}: {task.target} {task.target_value}"rendered = self.font.render(text, True, (0, 0, 0))self.screen.blit(rendered, (10, 400 + i * 30))rankings = sorted(self.current_league.rankings.items(), key=lambda x: x[1], reverse=True)for i, (team, points) in enumerate(rankings[:3]):text = f"Rank {i+1}: {team} ({points} points)"rendered = self.font.render(text, True, (0, 0, 0))self.screen.blit(rendered, (400, 10 + i * 30))pygame.display.flip()print(f"\nWeek {self.week}")print(f"预算: {self.team.budget:.0f}")print(f"联赛: {self.team.league}, 积分: {self.team.points}")if self.team.players:print("选手：")for p in self.team.players:print(f"{p.name} ({p.position}): 评分 {p.rating:.1f}, 疲劳 {p.fatigue:.1f}")if self.match_result:print(self.match_result)def save_game(self):state = {"week": self.week,"team": {"name": self.team.name,"budget": self.team.budget,"points": self.team.points,"league": self.team.league,"training_facility": self.team.training_facility,"analyst_level": self.team.analyst_level,"players": [{"id": p.id, "name": p.name, "position": p.position, "reaction": p.reaction, "strategy": p.strategy, "teamwork": p.teamwork, "salary": p.salary, "fatigue": p.fatigue} for p in self.team.players]},"tasks": [{"id": t.id, "target": t.target, "target_value": t.target_value, "reward": t.reward, "created_week": t.created_week} for t in self.tasks],"league_rankings": {name: league.rankings for name, league in self.leagues.items()}}with open("savegame.json", "w") as f:json.dump(state, f)print("游戏已保存！")def load_game(self):try:with open("savegame.json", "r") as f:state = json.load(f)self.week = state["week"]self.team = Team(state["team"]["name"], state["team"]["budget"])self.team.points = state["team"]["points"]self.team.league = state["team"]["league"]self.team.training_facility = state["team"]["training_facility"]self.team.analyst_level = state["team"]["analyst_level"]self.team.players = [Player(**p) for p in state["team"]["players"]]self.tasks = [Task(t["id"], t["target"], t["target_value"], t["reward"]) for t in state["tasks"]]for t in self.tasks:t.created_week = state["tasks"][self.tasks.index(t)]["created_week"]for name, rankings in state["league_rankings"].items():self.leagues[name].rankings = rankingsself.current_league = self.leagues[self.team.league]print("游戏已加载！")except FileNotFoundError:print("没有找到存档文件！")def check_win(self):rankings = sorted(self.current_league.rankings.items(), key=lambda x: x[1], reverse=True)rank = [t[0] for t in rankings].index(self.team.name) + 1 if self.team.name in self.current_league.rankings else 999tasks_completed = len([t for t in self.tasks if not t.created_week])avg_rating = sum(p.rating for p in self.team.players) / len(self.team.players) if self.team.players else 0return self.week >= self.max_weeks and self.team.league == "gold" and rank <= 3 and tasks_completed >= 8 and avg_rating > 85def check_lose(self):return self.week >= self.max_weeks and not self.check_win()

main.py

from game import EsportsManagerGameif __name__ == "__main__":game = EsportsManagerGame()game.run()