实现权重配置管理功能,支持通过命令行参数指定配置文件路径,新增权重调整功能,优化评分系统和推荐引擎的初始化,更新Web界面以显示和调整权重设置。

This commit is contained in:
hxuanyu 2025-04-02 12:33:25 +08:00
parent 0362a9c3ab
commit 5d4c52fba4
16 changed files with 1672 additions and 712 deletions

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@ -1,121 +1,81 @@
# 云顶之弈阵容评分权重配置文件
# 基础权重配置
base_weights:
synergy_level_weight: 1.0
synergy_count_weight: 0.5
chess_cost_weight: 0.1
# 羁绊权重配置(值越大,该羁绊在评分中的权重越高)
synergy_weights:
# 职业羁绊
人造人: 1.4
召唤物: 0.7
堡垒卫士: 1.4
强袭射手: 1.4
战略分析师: 1.1
斗士: 1.5
杀手: 1.4
裁决使: 1.4
超频战士: 1.6
迅捷射手: 1.5
重装战士: 1.5
高级工程师: 1.5
# 特质羁绊
圣灵使者: 1.5
幻灵战队: 1.4
弑魂者: 1.6
战地机甲: 1.2
执事: 1.3
源计划: 1.5
病毒魔人: 1.0
福牛守护者: 1.2
网络之神: 1.6
街头恶魔: 1.4
赛博老大: 1.3
辛迪加: 1.3
魔装机神: 1.1
鳄霸: 1.6
# 棋子费用等级权重(费用越高权重越大)
synergy_count_weight: 0.5
synergy_level_weight: 1.0
chess_weights:
R-080T: 0
T-43X: 0
T-URR37: 0
乐芙兰: 1
伊莉丝: 1
佛耶戈: 1
俄洛伊: 1
克格莫: 1
加里奥: 1
: 1
千珏: 1
厄加特: 1
厄斐琉斯: 1
厄运小姐: 1
古拉加斯: 1
可酷伯: 1
吉格斯: 1
嘉文四世: 1
塞拉斯: 1
奈德丽: 1
妮蔻: 1
婕拉: 1
安妮: 1
崔斯特: 1
布兰德: 1
布隆: 1
希瓦娜: 1
德莱厄斯: 1
德莱文: 1
悠米: 1
扎克: 1
拉亚斯特: 1
斯卡纳: 1
格雷福斯: 1
波比: 1
泽丽: 1
: 1
瑟庄妮: 1
盖伦: 1
科加斯: 1
纳亚菲利: 1
维迦: 1
艾克: 1
莎弥拉: 1
莫德凯撒: 1
莫甘娜: 1
萨勒芬妮: 1
萨科: 1
蒙多医生: 1
: 1
蕾欧娜: 1
薇古丝: 1
薇恩: 1
费德提克: 1
贾克斯: 1
赛娜: 1
金克丝: 1
阿利斯塔: 1
阿萝拉: 1
雷克顿: 1
雷恩加尔: 1
: 1
韦鲁斯: 1
魔像: 0
cost_weights:
'1': 1.0
'2': 1.2
'3': 1.5
'4': 1.8
'5': 2.0
# 棋子权重配置(值越大,该棋子在评分中的权重越高)
chess_weights:
R-080T: 0.8
T-43X: 0.8
T-URR37: 0.8
乐芙兰: 1.1
伊莉丝: 1.2
佛耶戈: 1.7
俄洛伊: 1.1
克格莫: 1.0
加里奥: 1.2
: 1.3
千珏: 1.0
厄加特: 1.4
厄斐琉斯: 1.3
厄运小姐: 1.3
古拉加斯: 1.2
可酷伯: 1.4
吉格斯: 1.3
嘉文四世: 1.2
塞拉斯: 1.0
奈德丽: 1.0
妮蔻: 1.3
婕拉: 1.0
安妮: 1.3
崔斯特: 1.1
布兰德: 1.5
布隆: 1.2
希瓦娜: 1.1
德莱厄斯: 1.1
德莱文: 1.2
悠米: 1.2
扎克: 1.7
拉亚斯特: 1.1
斯卡纳: 1.1
格雷福斯: 1.1
波比: 1.0
泽丽: 1.3
: 1.1
瑟庄妮: 1.3
盖伦: 1.7
科加斯: 1.3
纳亚菲利: 1.1
维迦: 1.1
艾克: 1.1
莎弥拉: 1.4
莫德凯撒: 1.2
莫甘娜: 1.0
萨勒芬妮: 1.0
萨科: 1.0
蒙多医生: 1.0
: 1.0
蕾欧娜: 1.3
薇古丝: 1.3
薇恩: 1.5
费德提克: 1.2
贾克斯: 1.0
赛娜: 1.5
金克丝: 1.5
阿利斯塔: 1.0
阿萝拉: 1.7
雷克顿: 1.4
雷恩加尔: 1.2
: 1.3
韦鲁斯: 1.2
魔像: 0.8
# 羁绊等级权重(不同等级的羁绊权重不同)
synergy_level_weights:
'1': 1.0
'10': 3.5
'2': 1.2
'3': 1.5
'4': 1.8
@ -124,4 +84,30 @@ synergy_level_weights:
'7': 2.6
'8': 3.0
'9': 3.3
'10': 3.5
synergy_weights:
人造人: 1
召唤物: 0
圣灵使者: 1
堡垒卫士: 1
幻灵战队: 1
弑魂者: 1
强袭射手: 1
战地机甲: 1
战略分析师: 1
执事: 1
斗士: 1
杀手: 1
源计划: 1
病毒魔人: 1
福牛守护者: 1
网络之神: 1
街头恶魔: 1
裁决使: 1
赛博老大: 1
超频战士: 1
辛迪加: 1
迅捷射手: 1
重装战士: 1
高级工程师: 1
魔装机神: 1
鳄霸: 1

86
main.py
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@ -13,6 +13,7 @@ from src.interface.cli import main as cli_main
from src.scoring.scoring_system import TeamScorer
from src.test_scoring import main as test_scoring
from src.web import run_server # 导入Web模块
from src.config import get_global_weights_config
# 配置日志
logging.basicConfig(
@ -33,6 +34,7 @@ def main():
# 阵容推荐模块演示
recommend_parser = subparsers.add_parser("recommend", help="阵容推荐模块演示")
recommend_parser.add_argument("--config", type=str, help="指定配置文件路径")
# 命令行界面
cli_parser = subparsers.add_parser("cli", help="交互式命令行界面")
@ -41,16 +43,26 @@ def main():
cli_parser.add_argument("--level-weight", type=float, help="羁绊等级权重")
cli_parser.add_argument("--count-weight", type=float, help="羁绊数量权重")
cli_parser.add_argument("--cost-weight", type=float, help="棋子费用权重")
cli_parser.add_argument("--config", type=str, help="指定配置文件路径")
# 评分模块测试 (新增)
# 评分模块测试
scoring_parser = subparsers.add_parser("scoring", help="评分模块测试")
scoring_parser.add_argument("--config", type=str, help="指定配置文件路径")
# Web界面 (新增)
# 权重配置管理(新增)
config_parser = subparsers.add_parser("config", help="权重配置管理")
config_parser.add_argument("--show", action="store_true", help="显示当前权重配置")
config_parser.add_argument("--set-synergy", nargs=2, metavar=("NAME", "WEIGHT"), help="设置羁绊权重")
config_parser.add_argument("--set-chess", nargs=2, metavar=("NAME", "WEIGHT"), help="设置棋子权重")
config_parser.add_argument("--set-base", nargs=2, metavar=("PARAM", "WEIGHT"), help="设置基础权重参数")
config_parser.add_argument("--config", type=str, help="指定配置文件路径")
# Web界面
web_parser = subparsers.add_parser("web", help="启动Web界面")
web_parser.add_argument("--host", type=str, default="0.0.0.0", help="服务器主机地址")
web_parser.add_argument("--port", type=int, default=5000, help="服务器端口")
web_parser.add_argument("--dev", action="store_true", help="开发模式")
web_parser.add_argument("--config", type=str, help="指定配置文件路径")
# 解析命令行参数
args = parser.parse_args()
@ -64,7 +76,7 @@ def main():
elif args.command == "recommend":
logger.info("启动阵容推荐模块演示")
# 调用阵容推荐模块演示函数
recommendation_demo()
recommendation_demo(config_path=getattr(args, 'config', None))
elif args.command == "cli":
logger.info("启动交互式命令行界面")
@ -74,17 +86,70 @@ def main():
results=args.results,
level_weight=args.level_weight,
count_weight=args.count_weight,
cost_weight=args.cost_weight
cost_weight=args.cost_weight,
config_path=getattr(args, 'config', None)
)
elif args.command == "scoring":
logger.info("启动评分模块测试")
if args.config:
# 如果指定了配置文件路径,使用该路径进行测试
test_scoring(config_path=args.config)
test_scoring(config_path=getattr(args, 'config', None))
elif args.command == "config":
# 获取权重配置
config_path = getattr(args, 'config', None)
weights_config = get_global_weights_config(config_path)
if args.show:
# 显示当前配置
print("\n=== 当前权重配置 ===")
# 基础权重
print("\n基础权重:")
for key, value in weights_config.get_base_weights().items():
print(f" {key}: {value}")
# 羁绊权重
print("\n羁绊权重:")
for key, value in sorted(weights_config.get_synergy_weights().items()):
print(f" {key}: {value}")
# 棋子权重
print("\n棋子权重:")
for key, value in sorted(weights_config.get_chess_weights().items()):
print(f" {key}: {value}")
# 羁绊等级权重
print("\n羁绊等级权重:")
for key, value in sorted(weights_config.get_synergy_level_weights().items(),
key=lambda x: int(x[0])):
print(f" {key}: {value}")
# 棋子费用权重
print("\n棋子费用权重:")
for key, value in sorted(weights_config.get_cost_weights().items(),
key=lambda x: int(x[0])):
print(f" {key}: {value}")
elif args.set_synergy:
# 设置羁绊权重
name, weight = args.set_synergy
weights_config.set_synergy_weight(name, float(weight))
print(f"已设置羁绊 [{name}] 的权重为 {weight}")
elif args.set_chess:
# 设置棋子权重
name, weight = args.set_chess
weights_config.set_chess_weight(name, float(weight))
print(f"已设置棋子 [{name}] 的权重为 {weight}")
elif args.set_base:
# 设置基础权重参数
param, weight = args.set_base
weights_config.set_base_weight(param, float(weight))
print(f"已设置基础权重参数 [{param}] 的值为 {weight}")
else:
# 否则使用默认配置文件
test_scoring()
config_parser.print_help()
elif args.command == "web":
logger.info("启动Web界面")
@ -92,7 +157,8 @@ def main():
run_server(
host=args.host,
port=args.port,
dev_mode=args.dev
dev_mode=args.dev,
config_path=getattr(args, 'config', None)
)
else:

11
src/config/__init__.py Normal file
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@ -0,0 +1,11 @@
"""
全局配置模块 - 提供整个应用的配置管理
此模块包含应用程序的全局配置管理功能包括
1. 权重配置的加载和管理
2. 全局参数的设置和获取
"""
from src.config.weights_config import WeightsConfig, get_global_weights_config
__all__ = ["WeightsConfig", "get_global_weights_config"]

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@ -0,0 +1,235 @@
"""
权重配置管理器 - 用于从外部配置文件加载并管理全局权重设置
此模块提供了从YAML或JSON配置文件中加载自定义权重设置的功能
支持为特定羁绊和棋子设置自定义权重并在整个应用程序中提供统一的权重配置
"""
import os
import json
import yaml
import logging
from typing import Dict, Any, Optional
# 配置日志
logger = logging.getLogger("TFT-Strategist-WeightsConfig")
# 全局权重配置实例
_global_weights_config = None
class WeightsConfig:
"""
权重配置管理器用于从外部文件加载自定义权重设置
"""
def __init__(self, config_path: Optional[str] = None):
"""
初始化权重配置管理器
Args:
config_path: 配置文件路径如果为None则使用默认路径
"""
self.config_path = config_path or os.path.join("data", "weights_config.yaml")
self.config_data = {}
# 自动加载配置文件
self.load_config()
def load_config(self) -> Dict[str, Any]:
"""
加载配置文件
Returns:
Dict[str, Any]: 包含配置数据的字典
"""
if not os.path.exists(self.config_path):
logger.warning(f"配置文件不存在: {self.config_path}")
# 如果文件不存在,创建默认配置
self._create_default_config()
return self.config_data
try:
file_ext = os.path.splitext(self.config_path)[1].lower()
if file_ext == '.json':
with open(self.config_path, 'r', encoding='utf-8') as f:
self.config_data = json.load(f)
elif file_ext in ['.yaml', '.yml']:
with open(self.config_path, 'r', encoding='utf-8') as f:
self.config_data = yaml.safe_load(f)
else:
logger.error(f"不支持的配置文件格式: {file_ext}")
self._create_default_config()
return self.config_data
logger.info(f"成功加载配置文件: {self.config_path}")
return self.config_data
except Exception as e:
logger.error(f"加载配置文件失败: {str(e)}")
# 如果加载失败,创建默认配置
self._create_default_config()
return self.config_data
def get_synergy_weights(self) -> Dict[str, float]:
"""
获取羁绊权重配置
Returns:
Dict[str, float]: 羁绊名称到权重的映射
"""
return self.config_data.get('synergy_weights', {})
def get_chess_weights(self) -> Dict[str, float]:
"""
获取棋子权重配置
Returns:
Dict[str, float]: 棋子名称到权重的映射
"""
return self.config_data.get('chess_weights', {})
def get_base_weights(self) -> Dict[str, float]:
"""
获取基础权重配置
Returns:
Dict[str, float]: 基础权重参数到权重值的映射
"""
return self.config_data.get('base_weights', {})
def get_synergy_level_weights(self) -> Dict[str, float]:
"""
获取羁绊等级权重配置
Returns:
Dict[str, float]: 羁绊等级到权重的映射
"""
return self.config_data.get('synergy_level_weights', {})
def get_cost_weights(self) -> Dict[str, float]:
"""
获取棋子费用权重配置
Returns:
Dict[str, float]: 棋子费用到权重的映射
"""
return self.config_data.get('cost_weights', {})
def set_synergy_weight(self, synergy_name: str, weight: float) -> None:
"""
设置特定羁绊的权重
Args:
synergy_name: 羁绊名称
weight: 权重值
"""
if 'synergy_weights' not in self.config_data:
self.config_data['synergy_weights'] = {}
self.config_data['synergy_weights'][synergy_name] = weight
self._save_config()
def set_chess_weight(self, chess_name: str, weight: float) -> None:
"""
设置特定棋子的权重
Args:
chess_name: 棋子名称
weight: 权重值
"""
if 'chess_weights' not in self.config_data:
self.config_data['chess_weights'] = {}
self.config_data['chess_weights'][chess_name] = weight
self._save_config()
def set_base_weight(self, param_name: str, weight: float) -> None:
"""
设置基础权重参数
Args:
param_name: 参数名称
weight: 权重值
"""
if 'base_weights' not in self.config_data:
self.config_data['base_weights'] = {}
self.config_data['base_weights'][param_name] = weight
self._save_config()
def _save_config(self) -> None:
"""保存配置到文件"""
try:
os.makedirs(os.path.dirname(self.config_path), exist_ok=True)
file_ext = os.path.splitext(self.config_path)[1].lower()
if file_ext == '.json':
with open(self.config_path, 'w', encoding='utf-8') as f:
json.dump(self.config_data, f, ensure_ascii=False, indent=2)
elif file_ext in ['.yaml', '.yml']:
with open(self.config_path, 'w', encoding='utf-8') as f:
yaml.dump(self.config_data, f, allow_unicode=True, default_flow_style=False)
else:
logger.error(f"不支持的配置文件格式: {file_ext}")
return
logger.info(f"成功保存配置文件: {self.config_path}")
except Exception as e:
logger.error(f"保存配置文件失败: {str(e)}")
def _create_default_config(self) -> None:
"""创建默认配置文件"""
default_config = {
'base_weights': {
'synergy_level_weight': 1.0,
'synergy_count_weight': 0.5,
'chess_cost_weight': 0.1
},
'synergy_weights': {
'重装战士': 1.5,
'魔法师': 1.2,
'神谕者': 1.3,
'斗士': 1.1
},
'chess_weights': {
'亚索': 1.5,
'艾希': 1.2,
'璐璐': 1.3,
'金克斯': 1.4
},
'synergy_level_weights': {
'1': 1.0,
'2': 1.2,
'3': 1.5,
'4': 1.8,
'5': 2.0,
'6': 2.3,
'7': 2.6,
'8': 3.0,
'9': 3.3,
'10': 3.5
},
'cost_weights': {
'1': 1.0,
'2': 1.2,
'3': 1.5,
'4': 1.8,
'5': 2.0
}
}
self.config_data = default_config
self._save_config()
def get_global_weights_config(config_path: Optional[str] = None) -> WeightsConfig:
"""
获取全局权重配置实例
Args:
config_path: 配置文件路径如果为None则使用默认路径
Returns:
WeightsConfig: 全局权重配置实例
"""
global _global_weights_config
if _global_weights_config is None:
_global_weights_config = WeightsConfig(config_path)
return _global_weights_config

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@ -16,6 +16,7 @@ import logging
from src.data_provider import DataQueryAPI
from src.recommendation import RecommendationEngine
from src.scoring import TeamScorer, ScoringConfig
from src.config import get_global_weights_config
# 配置日志
logging.basicConfig(
@ -28,11 +29,20 @@ logger = logging.getLogger("TFT-Strategist-CLI")
class TFTCommandLine:
"""云顶之弈阵容推荐命令行接口"""
def __init__(self):
"""初始化命令行接口"""
def __init__(self, config_path: Optional[str] = None):
"""
初始化命令行接口
Args:
config_path: 配置文件路径用于全局权重配置
"""
# 加载全局权重配置
self.weights_config = get_global_weights_config(config_path)
# 初始化API和推荐引擎
self.api = DataQueryAPI()
self.recommendation_engine = RecommendationEngine(api=self.api)
self.scorer = TeamScorer()
self.scorer = TeamScorer(config_path=config_path)
self.recommendation_engine = RecommendationEngine(api=self.api, scorer=self.scorer, config_path=config_path)
def run(self, population=None, results=None, level_weight=None, count_weight=None, cost_weight=None):
"""
@ -62,12 +72,16 @@ class TFTCommandLine:
count_weight = count_weight or args.count_weight
cost_weight = cost_weight or args.cost_weight
# 自定义评分权重
self.scorer.customize_scoring(
synergy_level_weight=level_weight,
synergy_count_weight=count_weight,
chess_cost_weight=cost_weight
)
# 自定义评分权重,同时更新全局配置
if level_weight is not None:
self.weights_config.set_base_weight('synergy_level_weight', level_weight)
if count_weight is not None:
self.weights_config.set_base_weight('synergy_count_weight', count_weight)
if cost_weight is not None:
self.weights_config.set_base_weight('chess_cost_weight', cost_weight)
# 更新评分系统的配置
self.scorer.reload_config()
# 初始化阵容参数
required_synergies = []
@ -78,6 +92,13 @@ class TFTCommandLine:
print(f"当前游戏版本: {version}")
print(f"阵容人口: {population}")
# 显示当前权重配置
base_weights = self.weights_config.get_base_weights()
print("\n当前评分权重配置:")
print(f" 羁绊等级权重: {base_weights.get('synergy_level_weight', 1.0)}")
print(f" 羁绊数量权重: {base_weights.get('synergy_count_weight', 0.5)}")
print(f" 棋子费用权重: {base_weights.get('chess_cost_weight', 0.1)}")
# 交互式添加必选羁绊
print("\n-- 添加必选羁绊 --")
while True:
@ -113,6 +134,22 @@ class TFTCommandLine:
except ValueError:
print("请输入数字")
# 显示羁绊在配置中的权重
synergy_weight = self.weights_config.get_synergy_weights().get(synergy_name, 1.0)
print(f"羁绊 {synergy_name} 的当前权重为: {synergy_weight}")
# 可选:调整羁绊权重
adjust = input(f"是否调整该羁绊的权重?(y/n当前: {synergy_weight}): ").strip().lower()
if adjust == 'y':
while True:
try:
new_weight = float(input(f"请输入新权重值 (当前: {synergy_weight}): ").strip())
self.weights_config.set_synergy_weight(synergy_name, new_weight)
print(f"已将羁绊 {synergy_name} 的权重设置为 {new_weight}")
break
except ValueError:
print("请输入有效的数字")
required_synergies.append({
'name': synergy_name,
'level': level
@ -131,6 +168,22 @@ class TFTCommandLine:
print(f"未找到棋子: {chess_name}")
continue
# 显示棋子在配置中的权重
chess_weight = self.weights_config.get_chess_weights().get(chess_name, 1.0)
print(f"棋子 {chess_name} 的当前权重为: {chess_weight}")
# 可选:调整棋子权重
adjust = input(f"是否调整该棋子的权重?(y/n当前: {chess_weight}): ").strip().lower()
if adjust == 'y':
while True:
try:
new_weight = float(input(f"请输入新权重值 (当前: {chess_weight}): ").strip())
self.weights_config.set_chess_weight(chess_name, new_weight)
print(f"已将棋子 {chess_name} 的权重设置为 {new_weight}")
break
except ValueError:
print("请输入有效的数字")
required_chess.append({
'name': chess_name
})
@ -192,7 +245,7 @@ class TFTCommandLine:
print("\n------------------------")
def main(population=None, results=None, level_weight=None, count_weight=None, cost_weight=None):
def main(population=None, results=None, level_weight=None, count_weight=None, cost_weight=None, config_path=None):
"""
主函数
@ -202,26 +255,18 @@ def main(population=None, results=None, level_weight=None, count_weight=None, co
level_weight (float, optional): 羁绊等级权重
count_weight (float, optional): 羁绊数量权重
cost_weight (float, optional): 棋子费用权重
Returns:
int: 退出码
config_path (str, optional): 配置文件路径
"""
cli = TFTCommandLine()
try:
cli.run(
population=population,
results=results,
level_weight=level_weight,
count_weight=count_weight,
cost_weight=cost_weight
)
cli = TFTCommandLine(config_path=config_path)
cli.run(population, results, level_weight, count_weight, cost_weight)
return 0
except KeyboardInterrupt:
print("\n程序已退出")
except Exception as e:
logger.error(f"发生错误: {e}", exc_info=True)
print(f"\n程序发生错误: {e}")
print("\n操作被用户中断")
return 1
except Exception as e:
logger.error(f"发生错误: {str(e)}")
return 1
return 0
if __name__ == "__main__":

View File

@ -12,6 +12,7 @@ import itertools
from dataclasses import dataclass, field
from src.data_provider import DataQueryAPI
from src.scoring.scoring_system import TeamScorer
from src.config import get_global_weights_config
# 配置日志
logging.basicConfig(
@ -109,16 +110,26 @@ class RecommendationEngine:
阵容推荐引擎负责根据用户需求生成最优阵容
"""
def __init__(self, api: Optional[DataQueryAPI] = None, scorer: Optional[TeamScorer] = None):
def __init__(self, api: DataQueryAPI, scorer: TeamScorer, config_path: Optional[str] = None, config_obj: Optional[Dict[str, Any]] = None):
"""
初始化阵容推荐引擎
Args:
api: 数据查询API实例如果为None则创建一个新的实例
scorer: 阵容评分系统实例如果为None则创建一个新的实例
config_path: 配置文件路径用于全局权重配置
config_obj: 配置对象优先于config_path使用
"""
self.api = api if api else DataQueryAPI()
self.scorer = scorer if scorer else TeamScorer()
# 加载全局权重配置
if config_obj:
self.weights_config = config_obj
else:
self.weights_config = get_global_weights_config(config_path).config_data
# 创建阵容评分系统
self.scorer = scorer if scorer else TeamScorer(config_path=config_path)
def recommend_team(
self,
@ -198,27 +209,37 @@ class RecommendationEngine:
break
if target_level == 0:
target_level = min_level
logger.warning(f"羁绊 {synergy.get('name', '')} 找不到满足最低等级 {min_level} 的激活条件")
continue
# 考虑羁绊在全局配置中的权重
weight = self.weights_config.get('synergy_weights', {}).get(synergy.get('name', ''), 1.0)
synergy_chess_sets.append({
'synergy': synergy,
'chess_list': chess_list,
'target_level': target_level
'target_level': target_level,
'weight': weight # 添加权重信息
})
# 3. 生成候选阵容
candidate_teams = self._generate_candidate_teams(
base_team, synergy_chess_sets, population
)
# 3. 根据已选棋子和羁绊要求生成候选阵容
candidate_teams = self._generate_candidate_teams(base_team, synergy_chess_sets, population)
# 4. 评分排序并返回结果
# 如果没有生成候选阵容,则尝试填充最佳棋子
if not candidate_teams:
remaining_slots = population - base_team.size
logger.info(f"未找到满足所有羁绊要求的阵容,尝试填充最佳棋子 (剩余槽位: {remaining_slots})")
candidate_teams = self._fill_team_with_best_chess(base_team, remaining_slots)
# 4. 计算每个阵容的评分并排序
for team in candidate_teams:
team.calculate_synergies(self.api)
team.score = self.scorer.score_team(team)
# 按评分从高到低排序
candidate_teams.sort(key=lambda x: x.score, reverse=True)
# 按从高到低排序
candidate_teams.sort(key=lambda t: t.score, reverse=True)
# 返回分数最高的几个阵容
return candidate_teams[:max_results]
def _generate_candidate_teams(
@ -228,107 +249,105 @@ class RecommendationEngine:
population: int
) -> List[TeamComposition]:
"""
生成候选阵容
根据羁绊要求生成候选阵容
Args:
base_team: 基础阵容包含必选棋子
synergy_chess_sets: 各个必选羁绊的棋子集合
synergy_chess_sets: 羁绊需要的棋子集合列表
population: 人口限制
Returns:
List[TeamComposition]: 候选阵容列表
"""
# 已经有基础棋子
remaining_slots = population - base_team.size
# 如果没有必选羁绊,则直接从所有棋子中选择
# 如果没有羁绊要求,则直接填充最佳棋子
if not synergy_chess_sets:
remaining_slots = population - base_team.size
return self._fill_team_with_best_chess(base_team, remaining_slots)
# 处理必选羁绊
# 排序羁绊集合,根据权重值从高到低排序
synergy_chess_sets.sort(key=lambda s: s.get('weight', 1.0), reverse=True)
# 开始构建组合
candidate_teams = []
# 为每个羁绊选择合适的棋子
synergy_combinations = []
# 记录已经在基础阵容中的棋子
base_chess_names = {chess.get('displayName') for chess in base_team.chess_list}
# 1. 从每个羁绊中选择需要的棋子数量
# 创建每个羁绊至少需要的棋子数组合
min_chess_options = []
for synergy_set in synergy_chess_sets:
synergy = synergy_set['synergy']
chess_list = synergy_set['chess_list']
target_level = synergy_set['target_level']
# 过滤掉已经在基础阵容中的棋子
available_chess = [
chess for chess in chess_list
if chess not in base_team.chess_list
]
# 计算需要添加的棋子数量
already_in_base = sum(1 for chess in base_team.chess_list
if any(job_id in chess.get('jobIds', '').split(',')
for job_id in [synergy_set['synergy'].get('jobId')])
or any(race_id in chess.get('raceIds', '').split(',')
for race_id in [synergy_set['synergy'].get('raceId')]))
# 计算还需要多少个该羁绊的棋子
synergy_id = synergy.get('jobId') or synergy.get('raceId')
# 统计基础阵容中有多少个该羁绊的棋子
base_count = 0
for chess in base_team.chess_list:
job_ids = chess.get('jobIds', '').split(',')
race_ids = chess.get('raceIds', '').split(',')
if synergy_id in job_ids or synergy_id in race_ids:
base_count += 1
# 还需要的棋子数量
needed_count = max(0, target_level - base_count)
# 如果该羁绊已经满足要求,跳过
if needed_count == 0:
needed_count = max(0, target_level - already_in_base)
if needed_count <= 0:
# 如果基础阵容已经满足该羁绊要求,则跳过
continue
# 如果可用棋子不足,则尽可能多选
# 从该羁绊的棋子中选择还未在基础阵容中的
available_chess = [chess for chess in chess_list
if chess.get('displayName') not in base_chess_names]
# 如果可用棋子不足以满足羁绊要求,则返回空列表
if len(available_chess) < needed_count:
needed_count = len(available_chess)
logger.warning(f"羁绊 {synergy_set['synergy'].get('name', '')} 可用棋子不足,无法满足等级 {target_level} 的要求")
return []
# 生成该羁绊的所有可能组合
combinations = list(itertools.combinations(available_chess, needed_count))
synergy_combinations.append(combinations)
# 所有可能的棋子组合
chess_combinations = list(itertools.combinations(available_chess, needed_count))
# 如果没有有效的羁绊组合,则直接填充最好的棋子
if not synergy_combinations:
return self._fill_team_with_best_chess(base_team, remaining_slots)
# 将权重因素纳入棋子选择决策
weighted_combinations = []
for combo in chess_combinations:
# 计算组合的权重分数
combo_weight = sum(self.weights_config.get('chess_weights', {}).get(chess.get('displayName', ''), 1.0) for chess in combo)
weighted_combinations.append((combo, combo_weight))
# 生成所有羁绊组合的笛卡尔积
for combo_product in itertools.product(*synergy_combinations):
# 扁平化组合成一个列表
flat_combo = []
for combo in combo_product:
flat_combo.extend(combo)
# 按权重从高到低排序
weighted_combinations.sort(key=lambda x: x[1], reverse=True)
# 去重
unique_combo = []
for chess in flat_combo:
if chess not in unique_combo:
unique_combo.append(chess)
# 选择权重较高的前几个组合
top_combinations = [combo for combo, _ in weighted_combinations[:min(5, len(weighted_combinations))]]
min_chess_options.append(top_combinations)
# 如果组合后的棋子数量超过剩余槽位,跳过
if len(unique_combo) > remaining_slots:
continue
# 如果某个羁绊无法满足,则返回空列表
if not all(min_chess_options):
return []
# 创建新的阵容
new_team = TeamComposition()
# 2. 尝试组合不同羁绊的棋子,生成可行阵容
# 为每个羁绊选择一种棋子组合方式
for chess_selection in itertools.product(*min_chess_options):
# 创建新的候选阵容
candidate = TeamComposition()
# 添加基础阵容的棋子
for chess in base_team.chess_list:
new_team.add_chess(chess)
candidate.add_chess(chess)
# 添加羁绊棋子
for chess in unique_combo:
new_team.add_chess(chess)
# 添加各羁绊选中的棋子
all_selected_chess = set()
for combo in chess_selection:
for chess in combo:
if chess.get('displayName') not in all_selected_chess:
candidate.add_chess(chess)
all_selected_chess.add(chess.get('displayName'))
# 如果还有剩余槽位,用最佳棋子填充
if new_team.size < population:
new_remaining_slots = population - new_team.size
filled_teams = self._fill_team_with_best_chess(new_team, new_remaining_slots)
if filled_teams:
candidate_teams.extend(filled_teams)
else:
candidate_teams.append(new_team)
# 如果没有生成候选阵容,直接填充最好的棋子
if not candidate_teams:
return self._fill_team_with_best_chess(base_team, remaining_slots)
# 检查是否超出人口限制
if candidate.size <= population:
# 如果有剩余人口,填充最佳棋子
if candidate.size < population:
remaining_slots = population - candidate.size
filled_candidates = self._fill_team_with_best_chess(candidate, remaining_slots)
candidate_teams.extend(filled_candidates)
else:
candidate_teams.append(candidate)
return candidate_teams
@ -338,7 +357,7 @@ class RecommendationEngine:
remaining_slots: int
) -> List[TeamComposition]:
"""
用最佳棋子填充阵容剩余槽位
用最佳棋子填充剩余槽位
Args:
base_team: 基础阵容
@ -350,50 +369,93 @@ class RecommendationEngine:
if remaining_slots <= 0:
return [base_team]
# 获取所有可用棋子
# 计算每个棋子的羁绊价值
all_chess = self.api.get_all_chess()
base_chess_names = {chess.get('displayName') for chess in base_team.chess_list}
# 过滤掉已经在基础阵容中的棋子
available_chess = [
chess for chess in all_chess
if chess not in base_team.chess_list
]
# 排除已在基础阵容中的棋子
available_chess = [chess for chess in all_chess
if chess.get('displayName') not in base_chess_names]
# 按照一定策略选择最佳棋子
# 这里可以实现多种策略,如优先选择与现有阵容羁绊匹配的棋子、高费棋子等
# 简单起见,我们用一个贪心策略:计算每个棋子能为阵容增加的羁绊收益
# 先计算基础阵容的羁绊情况
base_team_copy = TeamComposition()
# 计算基础阵容中已有的羁绊
base_synergies = {}
for chess in base_team.chess_list:
base_team_copy.add_chess(chess)
base_team_copy.calculate_synergies(self.api)
# 职业
for job_id in chess.get('jobIds', '').split(','):
if job_id:
base_synergies[job_id] = base_synergies.get(job_id, 0) + 1
# 评估每个棋子的收益
chess_benefits = []
# 特质
for race_id in chess.get('raceIds', '').split(','):
if race_id:
base_synergies[race_id] = base_synergies.get(race_id, 0) + 1
# 评估每个可用棋子的价值
chess_values = []
for chess in available_chess:
# 创建临时阵容
temp_team = TeamComposition()
for c in base_team.chess_list:
temp_team.add_chess(c)
temp_team.add_chess(chess)
temp_team.calculate_synergies(self.api)
value = 0
# 计算羁绊增益
benefit = self.scorer.score_team(temp_team) - self.scorer.score_team(base_team_copy)
chess_benefits.append((chess, benefit))
# 根据费用评估基础价值
cost = int(chess.get('price', 1))
cost_multiplier = float(self.weights_config.get('cost_weights', {}).get(str(cost), 1.0))
value += cost * cost_multiplier
# 按收益排序
chess_benefits.sort(key=lambda x: x[1], reverse=True)
# 根据羁绊评估额外价值
for job_id in chess.get('jobIds', '').split(','):
if job_id and job_id in base_synergies:
# 如果能与基础阵容形成羁绊,增加价值
synergy = self.api.get_synergy_by_id(job_id)
if synergy:
# 检查是否能激活新的羁绊等级
levels = self.api.get_synergy_levels(job_id)
current_count = base_synergies[job_id]
for level_str in sorted(levels.keys()):
level = int(level_str)
if current_count + 1 >= level > current_count:
# 如果添加这个棋子后能激活新的等级
weight = self.weights_config.get('synergy_weights', {}).get(synergy.get('name', ''), 1.0)
level_multiplier = float(self.weights_config.get('synergy_level_weights', {}).get(level_str, 1.0))
value += weight * level_multiplier * 10
break
# 即使不能激活新等级,也增加一些价值
value += 1
# 选择前N个最佳棋子
best_chess = [item[0] for item in chess_benefits[:remaining_slots]]
for race_id in chess.get('raceIds', '').split(','):
if race_id and race_id in base_synergies:
# 如果能与基础阵容形成羁绊,增加价值
synergy = self.api.get_synergy_by_id(race_id)
if synergy:
# 检查是否能激活新的羁绊等级
levels = self.api.get_synergy_levels(race_id)
current_count = base_synergies[race_id]
for level_str in sorted(levels.keys()):
level = int(level_str)
if current_count + 1 >= level > current_count:
# 如果添加这个棋子后能激活新的等级
weight = self.weights_config.get('synergy_weights', {}).get(synergy.get('name', ''), 1.0)
level_multiplier = float(self.weights_config.get('synergy_level_weights', {}).get(level_str, 1.0))
value += weight * level_multiplier * 10
break
# 即使不能激活新等级,也增加一些价值
value += 1
# 创建填充后的阵容
filled_team = TeamComposition()
# 添加棋子自定义权重
chess_weight = self.weights_config.get('chess_weights', {}).get(chess.get('displayName', ''), 1.0)
value *= chess_weight
chess_values.append((chess, value))
# 按价值从高到低排序
chess_values.sort(key=lambda x: x[1], reverse=True)
# 创建候选阵容,添加价值最高的棋子
candidate = TeamComposition()
# 添加基础阵容的棋子
for chess in base_team.chess_list:
filled_team.add_chess(chess)
for chess in best_chess:
filled_team.add_chess(chess)
candidate.add_chess(chess)
return [filled_team]
# 添加价值最高的剩余槽位数量的棋子
for i in range(min(remaining_slots, len(chess_values))):
candidate.add_chess(chess_values[i][0])
return [candidate]

View File

@ -4,20 +4,29 @@
from src.data_provider import DataQueryAPI
from src.recommendation import RecommendationEngine
from src.scoring import TeamScorer, ScoringConfig
from src.config import get_global_weights_config
from typing import Optional
def main():
"""主函数"""
def main(config_path: Optional[str] = None):
"""
主函数
Args:
config_path: 配置文件路径用于全局权重配置
"""
print("=== 云顶之弈阵容推荐模块演示 ===")
# 初始化数据查询API
print("\n正在加载数据...")
api = DataQueryAPI()
# 获取全局权重配置
weights_config = get_global_weights_config(config_path)
# 初始化评分系统和推荐引擎
scoring_config = ScoringConfig()
scorer = TeamScorer(config=scoring_config)
engine = RecommendationEngine(api=api, scorer=scorer)
scorer = TeamScorer(config_path=config_path)
engine = RecommendationEngine(api=api, scorer=scorer, config_path=config_path)
# 显示数据基本信息
print(f"\n当前游戏版本: {api.data_loader.get_latest_version()}")
@ -25,6 +34,13 @@ def main():
print(f"特质数量: {len(api.get_all_races())}")
print(f"棋子数量: {len(api.get_all_chess())}")
# 显示当前权重配置
base_weights = weights_config.get_base_weights()
print("\n当前评分权重配置:")
print(f" 羁绊等级权重: {base_weights.get('synergy_level_weight', 1.0)}")
print(f" 羁绊数量权重: {base_weights.get('synergy_count_weight', 0.5)}")
print(f" 棋子费用权重: {base_weights.get('chess_cost_weight', 0.1)}")
# 互动推荐示例
while True:
print("\n请选择推荐方式:")
@ -32,9 +48,10 @@ def main():
print("2. 指定必选羁绊")
print("3. 指定必选棋子")
print("4. 综合条件推荐")
print("5. 退出")
print("5. 调整权重配置")
print("6. 退出")
choice = input("请输入选项 (1-5): ")
choice = input("请输入选项 (1-6): ")
if choice == '1':
try:
@ -56,6 +73,20 @@ def main():
print(f"未找到名为 '{synergy_name}' 的羁绊")
continue
# 显示羁绊在配置中的权重
synergy_weight = weights_config.get_synergy_weights().get(synergy_name, 1.0)
print(f"羁绊 {synergy_name} 的当前权重为: {synergy_weight}")
# 可选:调整羁绊权重
adjust = input(f"是否调整该羁绊的权重?(y/n当前: {synergy_weight}): ").strip().lower()
if adjust == 'y':
try:
new_weight = float(input(f"请输入新权重值 (当前: {synergy_weight}): ").strip())
weights_config.set_synergy_weight(synergy_name, new_weight)
print(f"已将羁绊 {synergy_name} 的权重设置为 {new_weight}")
except ValueError:
print("请输入有效的数字")
try:
level = int(input(f"请输入 {synergy_name} 的目标等级 (默认为1): ") or "1")
required_synergies = [{'name': synergy_name, 'level': level}]
@ -81,6 +112,20 @@ def main():
print(f"未找到名为 '{chess_name}' 的棋子")
continue
# 显示棋子在配置中的权重
chess_weight = weights_config.get_chess_weights().get(chess_name, 1.0)
print(f"棋子 {chess_name} 的当前权重为: {chess_weight}")
# 可选:调整棋子权重
adjust = input(f"是否调整该棋子的权重?(y/n当前: {chess_weight}): ").strip().lower()
if adjust == 'y':
try:
new_weight = float(input(f"请输入新权重值 (当前: {chess_weight}): ").strip())
weights_config.set_chess_weight(chess_name, new_weight)
print(f"已将棋子 {chess_name} 的权重设置为 {new_weight}")
except ValueError:
print("请输入有效的数字")
try:
population = int(input("请输入阵容人口数 (1-10默认为9): ") or "9")
if population < 1 or population > 10:
@ -112,6 +157,20 @@ def main():
print(f"未找到名为 '{synergy_name}' 的羁绊")
continue
# 显示羁绊在配置中的权重
synergy_weight = weights_config.get_synergy_weights().get(synergy_name, 1.0)
print(f"羁绊 {synergy_name} 的当前权重为: {synergy_weight}")
# 可选:调整羁绊权重
adjust = input(f"是否调整该羁绊的权重?(y/n当前: {synergy_weight}): ").strip().lower()
if adjust == 'y':
try:
new_weight = float(input(f"请输入新权重值 (当前: {synergy_weight}): ").strip())
weights_config.set_synergy_weight(synergy_name, new_weight)
print(f"已将羁绊 {synergy_name} 的权重设置为 {new_weight}")
except ValueError:
print("请输入有效的数字")
level = int(input(f"请输入 {synergy_name} 的目标等级 (默认为1): ") or "1")
required_synergies.append({'name': synergy_name, 'level': level})
@ -127,6 +186,20 @@ def main():
print(f"未找到名为 '{chess_name}' 的棋子")
continue
# 显示棋子在配置中的权重
chess_weight = weights_config.get_chess_weights().get(chess_name, 1.0)
print(f"棋子 {chess_name} 的当前权重为: {chess_weight}")
# 可选:调整棋子权重
adjust = input(f"是否调整该棋子的权重?(y/n当前: {chess_weight}): ").strip().lower()
if adjust == 'y':
try:
new_weight = float(input(f"请输入新权重值 (当前: {chess_weight}): ").strip())
weights_config.set_chess_weight(chess_name, new_weight)
print(f"已将棋子 {chess_name} 的权重设置为 {new_weight}")
except ValueError:
print("请输入有效的数字")
required_chess.append({'name': chess_name})
# 设置人口
@ -147,6 +220,72 @@ def main():
print("请输入有效的整数")
elif choice == '5':
print("\n=== 调整权重配置 ===")
print("1. 调整基础权重")
print("2. 调整羁绊权重")
print("3. 调整棋子权重")
print("4. 返回主菜单")
sub_choice = input("请输入选项 (1-4): ")
if sub_choice == '1':
try:
print("\n当前基础权重:")
base_weights = weights_config.get_base_weights()
for key, value in base_weights.items():
print(f" {key}: {value}")
param = input("\n请输入要调整的参数名称 (例如: synergy_level_weight): ")
if param not in base_weights:
print(f"参数 '{param}' 不存在")
continue
new_value = float(input(f"请输入新的权重值 (当前: {base_weights.get(param, 1.0)}): "))
weights_config.set_base_weight(param, new_value)
print(f"已将 {param} 的权重设置为 {new_value}")
# 更新评分系统
scorer.reload_config()
except ValueError:
print("请输入有效的数字")
elif sub_choice == '2':
synergy_name = input("请输入羁绊名称: ")
synergy = api.get_synergy_by_name(synergy_name)
if not synergy:
print(f"未找到名为 '{synergy_name}' 的羁绊")
continue
try:
current_weight = weights_config.get_synergy_weights().get(synergy_name, 1.0)
new_weight = float(input(f"请输入新的权重值 (当前: {current_weight}): "))
weights_config.set_synergy_weight(synergy_name, new_weight)
print(f"已将羁绊 {synergy_name} 的权重设置为 {new_weight}")
except ValueError:
print("请输入有效的数字")
elif sub_choice == '3':
chess_name = input("请输入棋子名称: ")
chess = api.get_chess_by_name(chess_name)
if not chess:
print(f"未找到名为 '{chess_name}' 的棋子")
continue
try:
current_weight = weights_config.get_chess_weights().get(chess_name, 1.0)
new_weight = float(input(f"请输入新的权重值 (当前: {current_weight}): "))
weights_config.set_chess_weight(chess_name, new_weight)
print(f"已将棋子 {chess_name} 的权重设置为 {new_weight}")
except ValueError:
print("请输入有效的数字")
elif sub_choice == '4':
continue
else:
print("无效选项,请重新输入")
elif choice == '6':
break
else:
@ -200,11 +339,10 @@ def _display_recommended_teams(teams):
if race:
race_names.append(race['name'])
synergy_text = ' / '.join(job_names + race_names)
print(f" - {chess['displayName']} ({price}费): {synergy_text}")
job_str = ', '.join(job_names) if job_names else ''
race_str = ', '.join(race_names) if race_names else ''
# 显示阵容总费用
print(f"\n阵容总费用: {team.total_cost}")
print(f" - {chess['displayName']} ({price}金币) | 职业: {job_str} | 特质: {race_str}")
if __name__ == "__main__":

View File

@ -1,7 +1,8 @@
"""
阵容评分模块
阵容评分模块 - 提供对云顶之弈阵容的评分功能
此模块包含评分系统相关的组件用于对阵容进行综合评分
"""
from .scoring_system import TeamScorer, ScoringConfig
from .config_loader import ConfigLoader, create_default_config
__all__ = ['TeamScorer', 'ScoringConfig', 'ConfigLoader', 'create_default_config']
__all__ = ['TeamScorer', 'ScoringConfig']

View File

@ -1,170 +0,0 @@
"""
配置加载器 - 用于从外部配置文件加载自定义权重设置
此模块提供了从YAML或JSON配置文件中加载自定义权重设置的功能
支持为特定羁绊和棋子设置自定义权重
"""
import os
import json
import yaml
import logging
from typing import Dict, Any, Optional
# 配置日志
logger = logging.getLogger("TFT-Strategist-ConfigLoader")
class ConfigLoader:
"""
配置加载器用于从外部文件加载自定义权重设置
"""
def __init__(self, config_path: Optional[str] = None):
"""
初始化配置加载器
Args:
config_path: 配置文件路径如果为None则使用默认路径
"""
self.config_path = config_path or os.path.join("data", "weights_config.yaml")
self.config_data = {}
def load_config(self) -> Dict[str, Any]:
"""
加载配置文件
Returns:
Dict[str, Any]: 包含配置数据的字典
"""
if not os.path.exists(self.config_path):
logger.warning(f"配置文件不存在: {self.config_path}")
return {}
try:
file_ext = os.path.splitext(self.config_path)[1].lower()
if file_ext == '.json':
with open(self.config_path, 'r', encoding='utf-8') as f:
self.config_data = json.load(f)
elif file_ext in ['.yaml', '.yml']:
with open(self.config_path, 'r', encoding='utf-8') as f:
self.config_data = yaml.safe_load(f)
else:
logger.error(f"不支持的配置文件格式: {file_ext}")
return {}
logger.info(f"成功加载配置文件: {self.config_path}")
return self.config_data
except Exception as e:
logger.error(f"加载配置文件失败: {str(e)}")
return {}
def get_synergy_weights(self) -> Dict[str, float]:
"""
获取羁绊权重配置
Returns:
Dict[str, float]: 羁绊名称到权重的映射
"""
return self.config_data.get('synergy_weights', {})
def get_chess_weights(self) -> Dict[str, float]:
"""
获取棋子权重配置
Returns:
Dict[str, float]: 棋子名称到权重的映射
"""
return self.config_data.get('chess_weights', {})
def get_base_weights(self) -> Dict[str, float]:
"""
获取基础权重配置
Returns:
Dict[str, float]: 基础权重参数到权重值的映射
"""
return self.config_data.get('base_weights', {})
def get_synergy_level_weights(self) -> Dict[str, float]:
"""
获取羁绊等级权重配置
Returns:
Dict[str, float]: 羁绊等级到权重的映射
"""
return self.config_data.get('synergy_level_weights', {})
def get_cost_weights(self) -> Dict[str, float]:
"""
获取棋子费用权重配置
Returns:
Dict[str, float]: 棋子费用到权重的映射
"""
return self.config_data.get('cost_weights', {})
def create_default_config(config_path: str) -> None:
"""
创建默认配置文件
Args:
config_path: 配置文件路径
"""
default_config = {
'base_weights': {
'synergy_level_weight': 1.0,
'synergy_count_weight': 0.5,
'chess_cost_weight': 0.1
},
'synergy_weights': {
'重装战士': 1.5,
'魔法师': 1.2,
'神谕者': 1.3,
'斗士': 1.1
},
'chess_weights': {
'亚索': 1.5,
'艾希': 1.2,
'璐璐': 1.3,
'金克斯': 1.4
},
'synergy_level_weights': {
'1': 1.0,
'2': 1.2,
'3': 1.5,
'4': 1.8,
'5': 2.0,
'6': 2.3,
'7': 2.6,
'8': 3.0,
'9': 3.3,
'10': 3.5
},
'cost_weights': {
'1': 1.0,
'2': 1.2,
'3': 1.5,
'4': 1.8,
'5': 2.0
}
}
try:
file_ext = os.path.splitext(config_path)[1].lower()
os.makedirs(os.path.dirname(config_path), exist_ok=True)
if file_ext == '.json':
with open(config_path, 'w', encoding='utf-8') as f:
json.dump(default_config, f, ensure_ascii=False, indent=2)
elif file_ext in ['.yaml', '.yml']:
with open(config_path, 'w', encoding='utf-8') as f:
yaml.dump(default_config, f, allow_unicode=True, default_flow_style=False)
else:
logger.error(f"不支持的配置文件格式: {file_ext}")
return
logger.info(f"成功创建默认配置文件: {config_path}")
except Exception as e:
logger.error(f"创建默认配置文件失败: {str(e)}")

View File

@ -12,7 +12,8 @@ from typing import Dict, List, Any, Optional
import logging
from dataclasses import dataclass
import os
from .config_loader import ConfigLoader, create_default_config
from src.config import get_global_weights_config
from src.data_provider import DataQueryAPI
# 配置日志
logging.basicConfig(
@ -35,10 +36,10 @@ class ScoringConfig:
# 棋子费用权重倍数
cost_multipliers: Dict[str, float] = None
# 自定义羁绊权重 (新增)
# 自定义羁绊权重
synergy_weights: Dict[str, float] = None
# 自定义棋子权重 (新增)
# 自定义棋子权重
chess_weights: Dict[str, float] = None
def __post_init__(self):
@ -80,70 +81,81 @@ class TeamScorer:
阵容评分系统负责对阵容进行综合评分
"""
def __init__(self, config: Optional[ScoringConfig] = None, config_path: Optional[str] = None):
def __init__(self, api: Optional[DataQueryAPI] = None, config_path: Optional[str] = None, config_obj: Optional[Dict[str, Any]] = None):
"""
初始化阵容评分系统
Args:
config: 评分配置如果为None则使用默认配置
api: 数据查询API
config_path: 外部配置文件路径如果提供则从中加载自定义权重
config_obj: 配置对象优先于config_path使用
"""
self.config = config if config else ScoringConfig()
self.api = api if api else DataQueryAPI()
# 如果提供了配置文件路径,则加载自定义权重
if config_path or os.path.exists(os.path.join("data", "weights_config.yaml")):
self._load_custom_weights(config_path)
# 加载权重配置
if config_obj:
self.weights_config = config_obj
else:
self.weights_config = get_global_weights_config(config_path).config_data
def _load_custom_weights(self, config_path: Optional[str] = None) -> None:
"""
从配置文件加载自定义权重
# 加载基础权重参数
self.synergy_level_weight = self.weights_config.get('base_weights', {}).get('synergy_level_weight', 1.0)
self.synergy_count_weight = self.weights_config.get('base_weights', {}).get('synergy_count_weight', 0.5)
self.chess_cost_weight = self.weights_config.get('base_weights', {}).get('chess_cost_weight', 0.1)
Args:
config_path: 配置文件路径如果为None则使用默认路径
"""
loader = ConfigLoader(config_path)
config_data = loader.load_config()
# 加载自定义权重
self.synergy_weights = self.weights_config.get('synergy_weights', {})
self.chess_weights = self.weights_config.get('chess_weights', {})
if not config_data:
# 如果配置文件不存在或加载失败,创建默认配置文件
default_path = config_path or os.path.join("data", "weights_config.yaml")
create_default_config(default_path)
logger.info(f"已创建默认配置文件: {default_path}")
loader = ConfigLoader(default_path)
config_data = loader.load_config()
# 加载羁绊等级权重和棋子费用权重倍数
synergy_level_weights = self.weights_config.get('synergy_level_weights', {})
cost_weights = self.weights_config.get('cost_weights', {})
# 更新基础权重
base_weights = loader.get_base_weights()
for key, value in base_weights.items():
if hasattr(self.config, key):
setattr(self.config, key, value)
logger.info(f"从配置文件加载基础权重: {key} = {value}")
# 将键转换为正确的类型
self.level_multipliers = {int(k) if isinstance(k, str) else k: float(v) for k, v in synergy_level_weights.items()}
self.cost_multipliers = {k: float(v) for k, v in cost_weights.items()}
# 更新羁绊自定义权重
synergy_weights = loader.get_synergy_weights()
if synergy_weights:
self.config.synergy_weights.update(synergy_weights)
logger.info(f"从配置文件加载羁绊权重: {len(synergy_weights)}")
def reload_config(self) -> None:
"""重新加载配置"""
if isinstance(self.weights_config, dict):
# 针对直接传入的配置对象,不需要重新加载
# 重新加载基础权重参数
self.synergy_level_weight = self.weights_config.get('base_weights', {}).get('synergy_level_weight', 1.0)
self.synergy_count_weight = self.weights_config.get('base_weights', {}).get('synergy_count_weight', 0.5)
self.chess_cost_weight = self.weights_config.get('base_weights', {}).get('chess_cost_weight', 0.1)
# 更新棋子自定义权重
chess_weights = loader.get_chess_weights()
if chess_weights:
self.config.chess_weights.update(chess_weights)
logger.info(f"从配置文件加载棋子权重: {len(chess_weights)}")
# 重新加载自定义权重
self.synergy_weights = self.weights_config.get('synergy_weights', {})
self.chess_weights = self.weights_config.get('chess_weights', {})
# 加载羁绊等级权重倍数 (使用新方法)
synergy_level_weights = loader.get_synergy_level_weights()
if synergy_level_weights:
# 将字符串键转换为整数键
level_multipliers = {int(k): float(v) for k, v in synergy_level_weights.items()}
self.config.level_multipliers = level_multipliers
logger.info(f"从配置文件加载羁绊等级权重倍数: {len(level_multipliers)}")
# 重新加载羁绊等级权重和棋子费用权重倍数
synergy_level_weights = self.weights_config.get('synergy_level_weights', {})
cost_weights = self.weights_config.get('cost_weights', {})
# 加载棋子费用权重倍数 (使用新方法)
cost_weights = loader.get_cost_weights()
if cost_weights:
self.config.cost_multipliers = cost_weights
logger.info(f"从配置文件加载棋子费用权重倍数: {len(cost_weights)}")
# 将键转换为正确的类型
self.level_multipliers = {int(k) if isinstance(k, str) else k: float(v) for k, v in synergy_level_weights.items()}
self.cost_multipliers = {k: float(v) for k, v in cost_weights.items()}
else:
# 获取全局配置的最新实例
config = get_global_weights_config()
self.weights_config = config.config_data
# 重新加载基础权重参数
self.synergy_level_weight = config.get_base_weights().get('synergy_level_weight', 1.0)
self.synergy_count_weight = config.get_base_weights().get('synergy_count_weight', 0.5)
self.chess_cost_weight = config.get_base_weights().get('chess_cost_weight', 0.1)
# 重新加载自定义权重
self.synergy_weights = config.get_synergy_weights()
self.chess_weights = config.get_chess_weights()
# 重新加载羁绊等级权重和棋子费用权重倍数
synergy_level_weights = config.get_synergy_level_weights()
cost_weights = config.get_cost_weights()
# 将键转换为正确的类型
self.level_multipliers = {int(k) if isinstance(k, str) else k: float(v) for k, v in synergy_level_weights.items()}
self.cost_multipliers = {k: float(v) for k, v in cost_weights.items()}
def score_team(self, team) -> float:
"""
@ -164,15 +176,15 @@ class TeamScorer:
# 3. 棋子费用评分
chess_cost_score = self._score_chess_cost(team)
# 4. 自定义羁绊和棋子权重评分 (新增)
# 4. 自定义羁绊和棋子权重评分
custom_weight_score = self._score_custom_weights(team)
# 5. 阵容整体评分
# 综合以上四项,加权求和
total_score = (
synergy_level_score * self.config.synergy_level_weight +
synergy_count_score * self.config.synergy_count_weight +
chess_cost_score * self.config.chess_cost_weight +
synergy_level_score * self.synergy_level_weight +
synergy_count_score * self.synergy_count_weight +
chess_cost_score * self.chess_cost_weight +
custom_weight_score # 自定义权重分数已经包含各自的权重
)
@ -195,27 +207,26 @@ class TeamScorer:
level = job_level['level']
count = job_level['count']
# 计算该羁绊的得分,根据等级和数量
level_multiplier = self.config.level_multipliers.get(level, 1.0)
level_multiplier = self.level_multipliers.get(level, 1.0)
# 额外激活的羁绊单位也计入评分
extra_units = max(0, count - level)
level_score = level * level_multiplier + extra_units * 0.5
score += level_score
score += level * level_multiplier + extra_units * 0.1
# 处理特质羁绊
for race_level in team.synergy_levels.get('race', []):
level = race_level['level']
count = race_level['count']
# 计算该羁绊的得分
level_multiplier = self.config.level_multipliers.get(level, 1.0)
# 计算该羁绊的得分,根据等级和数量
level_multiplier = self.level_multipliers.get(level, 1.0)
# 额外激活的羁绊单位也计入评分
extra_units = max(0, count - level)
level_score = level * level_multiplier + extra_units * 0.5
score += level_score
score += level * level_multiplier + extra_units * 0.1
return score
def _score_synergy_count(self, team) -> float:
"""
评分羁绊种类数量
评分激活的羁绊种类数量
Args:
team: TeamComposition实例
@ -223,17 +234,13 @@ class TeamScorer:
Returns:
float: 羁绊种类数量评分
"""
# 计算激活的羁绊种类数量
job_count = len(team.synergy_levels.get('job', []))
race_count = len(team.synergy_levels.get('race', []))
# 获取激活的职业和特质数量
active_job_count = len(team.synergy_levels.get('job', []))
active_race_count = len(team.synergy_levels.get('race', []))
# 根据羁绊种类数量评分
# 羁绊越多,评分越高,但有一个合理的上限
total_count = job_count + race_count
# 使用对数函数避免羁绊数量过多时分数过高
score = (1 + total_count) ** 0.8
return score
# 根据激活的羁绊种类数量计算得分
# 激活的羁绊种类越多,得分越高,但增长是非线性的
return (active_job_count + active_race_count) ** 0.8
def _score_chess_cost(self, team) -> float:
"""
@ -247,21 +254,18 @@ class TeamScorer:
"""
score = 0.0
# 按照棋子费用评
# 根据棋子费用计算得
for chess in team.chess_list:
cost = chess.get('price', '1')
cost_multiplier = self.config.cost_multipliers.get(cost, 1.0)
cost = str(chess.get('price', '1'))
# 费用越高的棋子,权重越大
cost_multiplier = self.cost_multipliers.get(cost, 1.0)
score += float(cost) * cost_multiplier
# 费用分布的平衡性评分
# 根据阵容人口,期望的费用分布可能不同
# 这里可以进一步完善
return score
def _score_custom_weights(self, team) -> float:
"""
根据自定义权重评分
根据自定义权重对阵容进行评分
Args:
team: TeamComposition实例
@ -271,34 +275,25 @@ class TeamScorer:
"""
score = 0.0
# 应用自定义羁绊权重
if self.config.synergy_weights:
# 职业羁绊
for job_level in team.synergy_levels.get('job', []):
synergy_name = job_level.get('name', '')
if synergy_name in self.config.synergy_weights:
weight = self.config.synergy_weights[synergy_name]
level = job_level['level']
score += level * weight
logger.debug(f"应用羁绊权重: {synergy_name}, 等级: {level}, 权重: {weight}")
# 1. 评分羁绊自定义权重
for job_level in team.synergy_levels.get('job', []):
synergy_name = job_level['name']
if synergy_name in self.synergy_weights:
weight = self.synergy_weights[synergy_name]
score += weight * job_level['level']
# 特质羁绊
for race_level in team.synergy_levels.get('race', []):
synergy_name = race_level.get('name', '')
if synergy_name in self.config.synergy_weights:
weight = self.config.synergy_weights[synergy_name]
level = race_level['level']
score += level * weight
logger.debug(f"应用羁绊权重: {synergy_name}, 等级: {level}, 权重: {weight}")
for race_level in team.synergy_levels.get('race', []):
synergy_name = race_level['name']
if synergy_name in self.synergy_weights:
weight = self.synergy_weights[synergy_name]
score += weight * race_level['level']
# 应用自定义棋子权重
if self.config.chess_weights:
for chess in team.chess_list:
chess_name = chess.get('displayName', '')
if chess_name in self.config.chess_weights:
weight = self.config.chess_weights[chess_name]
score += weight
logger.debug(f"应用棋子权重: {chess_name}, 权重: {weight}")
# 2. 评分棋子自定义权重
for chess in team.chess_list:
chess_name = chess.get('displayName', '')
if chess_name in self.chess_weights:
weight = self.chess_weights[chess_name]
score += weight
return score
@ -307,43 +302,113 @@ class TeamScorer:
自定义评分参数
Args:
**kwargs: 评分参数如synergy_level_weight, chess_cost_weight等
**kwargs: 参数名和值的映射
"""
for key, value in kwargs.items():
if hasattr(self.config, key):
setattr(self.config, key, value)
logger.info(f"设置评分参数 {key} = {value}")
else:
logger.warning(f"未知的评分参数: {key}")
if hasattr(self, key):
setattr(self, key, value)
logger.info(f"自定义评分参数: {key} = {value}")
def set_synergy_weight(self, synergy_name: str, weight: float) -> None:
"""
设置特定羁绊的自定义权重
设置特定羁绊的权重
Args:
synergy_name: 羁绊名称
weight: 权重值
"""
self.config.synergy_weights[synergy_name] = weight
logger.info(f"设置羁绊权重: {synergy_name} = {weight}")
self.synergy_weights[synergy_name] = weight
# 同时更新全局配置
weights_config = get_global_weights_config()
weights_config.set_synergy_weight(synergy_name, weight)
def set_chess_weight(self, chess_name: str, weight: float) -> None:
"""
设置特定棋子的自定义权重
设置特定棋子的权重
Args:
chess_name: 棋子名称
weight: 权重值
"""
self.config.chess_weights[chess_name] = weight
logger.info(f"设置棋子权重: {chess_name} = {weight}")
self.chess_weights[chess_name] = weight
# 同时更新全局配置
weights_config = get_global_weights_config()
weights_config.set_chess_weight(chess_name, weight)
def reload_config(self, config_path: Optional[str] = None) -> None:
def set_synergy_level_weight(self, level: int, weight: float) -> None:
"""
新加载配置文件
设置特定羁绊等级的权
Args:
config_path: 配置文件路径如果为None则使用默认路径
level: 羁绊等级
weight: 权重值
"""
self._load_custom_weights(config_path)
logger.info("重新加载配置文件完成")
self.level_multipliers[level] = weight
# 同时更新全局配置
weights_config = get_global_weights_config()
weights_config.set_synergy_level_weight(str(level), weight)
def set_cost_weight(self, cost: str, weight: float) -> None:
"""
设置特定棋子费用的权重
Args:
cost: 棋子费用
weight: 权重值
"""
self.cost_multipliers[cost] = weight
# 同时更新全局配置
weights_config = get_global_weights_config()
weights_config.set_cost_weight(cost, weight)
def set_level_multiplier(self, level: int, multiplier: float) -> None:
"""
设置特定羁绊等级的权重倍数
Args:
level: 羁绊等级
multiplier: 权重倍数
"""
self.level_multipliers[level] = multiplier
# 同时更新全局配置
weights_config = get_global_weights_config()
weights_config.set_level_multiplier(level, multiplier)
def set_cost_multiplier(self, cost: str, multiplier: float) -> None:
"""
设置特定棋子费用的权重倍数
Args:
cost: 棋子费用
multiplier: 权重倍数
"""
self.cost_multipliers[cost] = multiplier
# 同时更新全局配置
weights_config = get_global_weights_config()
weights_config.set_cost_multiplier(cost, multiplier)
def set_synergy_level_multiplier(self, level: int, multiplier: float) -> None:
"""
设置特定羁绊等级权重倍数
Args:
level: 羁绊等级
multiplier: 权重倍数
"""
self.level_multipliers[level] = multiplier
# 同时更新全局配置
weights_config = get_global_weights_config()
weights_config.set_synergy_level_multiplier(level, multiplier)
def set_cost_level_multiplier(self, level: int, multiplier: float) -> None:
"""
设置特定羁绊等级费用权重倍数
Args:
level: 羁绊等级
multiplier: 权重倍数
"""
self.level_multipliers[level] = multiplier
# 同时更新全局配置
weights_config = get_global_weights_config()
weights_config.set_cost_level_multiplier(level, multiplier)

View File

@ -5,12 +5,13 @@ import sys
import os
import logging
from dataclasses import dataclass
from typing import Dict, List
from typing import Dict, List, Optional
# 添加项目根目录到Python路径
sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
from src.scoring.scoring_system import TeamScorer, ScoringConfig
from src.scoring.scoring_system import TeamScorer
from src.config import get_global_weights_config
# 配置日志
logging.basicConfig(level=logging.INFO)
@ -22,35 +23,63 @@ class MockTeam:
chess_list: List[Dict]
synergy_levels: Dict
def main(config_path=None):
"""主函数"""
def main(config_path: Optional[str] = None):
"""
主函数
Args:
config_path: 配置文件路径用于全局权重配置
"""
logger.info("开始测试评分系统...")
# 加载全局权重配置
weights_config = get_global_weights_config(config_path)
# 创建评分器实例
scorer = TeamScorer(config_path=config_path)
# 打印当前配置
# 打印全局配置
logger.info("基础权重:")
logger.info(f" 羁绊等级权重: {scorer.config.synergy_level_weight}")
logger.info(f" 羁绊数量权重: {scorer.config.synergy_count_weight}")
logger.info(f" 棋子费用权重: {scorer.config.chess_cost_weight}")
base_weights = weights_config.get_base_weights()
for param, value in base_weights.items():
logger.info(f" {param}: {value}")
logger.info("羁绊等级倍数:")
for level, multiplier in sorted(scorer.config.level_multipliers.items()):
level_weights = weights_config.get_synergy_level_weights()
for level, multiplier in sorted(level_weights.items(), key=lambda x: int(x[0])):
logger.info(f" 等级 {level}: {multiplier}")
logger.info("棋子费用倍数:")
for cost, multiplier in sorted(scorer.config.cost_multipliers.items()):
cost_weights = weights_config.get_cost_weights()
for cost, multiplier in sorted(cost_weights.items(), key=lambda x: int(x[0])):
logger.info(f" 费用 {cost}: {multiplier}")
logger.info("羁绊自定义权重 (前5个):")
for name, weight in list(scorer.config.synergy_weights.items())[:5]:
synergy_weights = weights_config.get_synergy_weights()
for name, weight in list(sorted(synergy_weights.items()))[:5]:
logger.info(f" {name}: {weight}")
logger.info("棋子自定义权重 (前5个):")
for name, weight in list(scorer.config.chess_weights.items())[:5]:
chess_weights = weights_config.get_chess_weights()
for name, weight in list(sorted(chess_weights.items()))[:5]:
logger.info(f" {name}: {weight}")
# 测试修改权重
logger.info("\n测试修改权重:")
test_synergy = next(iter(synergy_weights.keys()))
original_weight = synergy_weights.get(test_synergy, 1.0)
new_weight = original_weight + 0.5
logger.info(f"将羁绊 {test_synergy} 的权重从 {original_weight} 修改为 {new_weight}")
weights_config.set_synergy_weight(test_synergy, new_weight)
# 确认修改生效
updated_weight = weights_config.get_synergy_weights().get(test_synergy)
logger.info(f"修改后的权重: {updated_weight}")
# 重新加载评分系统配置
scorer.reload_config()
# 测试评分函数
mock_team = MockTeam(
chess_list=[
@ -73,6 +102,15 @@ def main(config_path=None):
score = scorer.score_team(mock_team)
logger.info(f"模拟阵容评分: {score}")
# 恢复原来的权重
logger.info(f"将羁绊 {test_synergy} 的权重恢复为 {original_weight}")
weights_config.set_synergy_weight(test_synergy, original_weight)
# 重新评分
scorer.reload_config()
score = scorer.score_team(mock_team)
logger.info(f"恢复权重后的评分: {score}")
logger.info("测试完成!")
if __name__ == "__main__":

View File

@ -4,14 +4,16 @@
import os
import json
import logging
import copy
from flask import Flask, render_template, request, jsonify
from flask_cors import CORS
from waitress import serve
from typing import Optional, Dict, Any
from src.data_provider import DataQueryAPI
from src.recommendation import RecommendationEngine
from src.scoring.scoring_system import TeamScorer, ScoringConfig
from src.scoring.config_loader import ConfigLoader
from src.scoring.scoring_system import TeamScorer
from src.config import get_global_weights_config, WeightsConfig
# 配置日志
logging.basicConfig(
@ -20,8 +22,13 @@ logging.basicConfig(
)
logger = logging.getLogger("TFT-Strategist-Web")
def create_app():
"""创建Flask应用实例"""
def create_app(config_path: Optional[str] = None):
"""
创建Flask应用实例
Args:
config_path: 配置文件路径用于全局权重配置
"""
app = Flask(__name__,
static_folder='static',
template_folder='templates')
@ -29,10 +36,16 @@ def create_app():
# 启用CORS允许跨域请求
CORS(app)
# 加载数据
# 加载全局权重配置
weights_config = get_global_weights_config(config_path)
# 加载数据和组件
data_api = DataQueryAPI()
engine = RecommendationEngine(api=data_api)
config_loader = ConfigLoader()
scorer = TeamScorer(config_path=config_path)
engine = RecommendationEngine(api=data_api, scorer=scorer, config_path=config_path)
# 原始默认配置,用于重置操作
default_config = copy.deepcopy(weights_config.config_data)
@app.route('/')
def index():
@ -43,15 +56,17 @@ def create_app():
all_synergies = all_jobs + all_races
all_chess = data_api.get_all_chess()
# 获取配置文件中的权重信息
weights_config = config_loader.load_config()
# 获取全局配置中的权重信息
base_weights = weights_config.get_base_weights()
synergy_weights = weights_config.get_synergy_weights()
chess_weights = weights_config.get_chess_weights()
return render_template('index.html',
synergies=all_synergies,
chess=all_chess,
base_weights=weights_config.get('base_weights', {}),
synergy_weights=weights_config.get('synergy_weights', {}),
chess_weights=weights_config.get('chess_weights', {}))
base_weights=base_weights,
synergy_weights=synergy_weights,
chess_weights=chess_weights)
@app.route('/api/recommend', methods=['POST'])
def recommend():
@ -67,6 +82,20 @@ def create_app():
synergy_weights = data.get('synergy_weights', {})
chess_weights = data.get('chess_weights', {})
# 创建临时配置对象,不修改全局配置
temp_config = create_temp_config(
weights_config.config_data,
base_weights,
synergy_weights,
chess_weights
)
# 创建临时评分器
temp_scorer = TeamScorer(config_obj=temp_config)
# 创建临时推荐引擎
temp_engine = RecommendationEngine(api=data_api, scorer=temp_scorer, config_obj=temp_config)
# 获取必选棋子和必选羁绊
required_chess_ids = data.get('required_chess', [])
required_synergy_ids = data.get('required_synergies', [])
@ -75,20 +104,8 @@ def create_app():
required_chess = [{'id': str(chess_id)} for chess_id in required_chess_ids]
required_synergies = [{'id': str(synergy_id)} for synergy_id in required_synergy_ids]
# 创建评分配置
scoring_config = ScoringConfig(
synergy_level_weight=base_weights.get('synergy_level_weight', 1.0),
synergy_count_weight=base_weights.get('synergy_count_weight', 0.5),
chess_cost_weight=base_weights.get('chess_cost_weight', 0.1),
synergy_weights=synergy_weights,
chess_weights=chess_weights
)
# 创建评分系统
scorer = TeamScorer(config=scoring_config)
# 调用推荐引擎生成阵容
teams = engine.recommend_team(
teams = temp_engine.recommend_team(
population=population,
required_synergies=required_synergies,
required_chess=required_chess,
@ -153,11 +170,88 @@ def create_app():
'message': str(e)
}), 500
@app.route('/api/weights', methods=['GET'])
def get_weights():
"""获取当前权重配置API"""
return jsonify({
'base_weights': weights_config.get_base_weights(),
'synergy_weights': weights_config.get_synergy_weights(),
'chess_weights': weights_config.get_chess_weights(),
'synergy_level_weights': weights_config.get_synergy_level_weights(),
'cost_weights': weights_config.get_cost_weights()
})
@app.route('/api/weights', methods=['POST'])
def update_weights():
"""更新权重配置API - 已弃用仅保留API兼容性"""
try:
return jsonify({
'status': 'success',
'message': '权重配置已更新(本地存储模式)'
})
except Exception as e:
logger.exception("更新权重配置时发生错误")
return jsonify({
'status': 'error',
'message': str(e)
}), 500
return app
def run_server(host='0.0.0.0', port=5000, dev_mode=False):
"""运行Web服务器"""
app = create_app()
def create_temp_config(base_config: Dict[str, Any],
base_weights: Dict[str, float],
synergy_weights: Dict[str, float],
chess_weights: Dict[str, float]) -> Dict[str, Any]:
"""
创建临时配置对象不修改原始配置
Args:
base_config: 基础配置
base_weights: 用户自定义的基础权重
synergy_weights: 用户自定义的羁绊权重
chess_weights: 用户自定义的棋子权重
Returns:
Dict[str, Any]: 临时配置对象
"""
# 深拷贝基础配置,避免修改原始配置
temp_config = copy.deepcopy(base_config)
# 更新基础权重
if 'base_weights' not in temp_config:
temp_config['base_weights'] = {}
for param, value in base_weights.items():
temp_config['base_weights'][param] = value
# 更新羁绊权重
if 'synergy_weights' not in temp_config:
temp_config['synergy_weights'] = {}
for synergy_name, weight in synergy_weights.items():
temp_config['synergy_weights'][synergy_name] = weight
# 更新棋子权重
if 'chess_weights' not in temp_config:
temp_config['chess_weights'] = {}
for chess_name, weight in chess_weights.items():
temp_config['chess_weights'][chess_name] = weight
return temp_config
def run_server(host='0.0.0.0', port=5000, dev_mode=False, config_path=None):
"""
运行Web服务器
Args:
host: 服务器主机地址
port: 服务器端口
dev_mode: 是否启用开发模式
config_path: 配置文件路径
"""
app = create_app(config_path)
logger.info(f"启动Web服务器: {'开发模式' if dev_mode else '生产模式'}")
if dev_mode:

View File

@ -2,6 +2,12 @@
// 页面加载完成后执行
$(document).ready(function() {
// 初始化抽屉
initDrawer();
// 加载本地存储的权重
loadWeightsFromLocalStorage();
// 初始化基础权重滑块
initBasicWeightSliders();
@ -119,16 +125,182 @@ $(document).ready(function() {
$('.chess-weight-item').show();
}
});
// 监听权重变化,保存到本地存储
$(document).on('change', '.noUi-target', function() {
saveWeightsToLocalStorage();
});
// 恢复默认配置按钮
$('#reset-to-default').on('click', function() {
resetToDefaultWeights();
});
});
/**
* 初始化抽屉控制
*/
function initDrawer() {
// 打开抽屉
$('#open-weights-drawer').on('click', function() {
$('#weights-drawer').addClass('open');
$('#drawer-backdrop').addClass('open');
});
// 关闭抽屉
$('#close-drawer, #drawer-backdrop').on('click', function() {
$('#weights-drawer').removeClass('open');
$('#drawer-backdrop').removeClass('open');
});
}
/**
* 从本地存储加载权重设置
*/
function loadWeightsFromLocalStorage() {
const storedWeights = localStorage.getItem('tft-weights');
if (!storedWeights) return;
try {
const weights = JSON.parse(storedWeights);
// 设置基础权重
if (weights.base_weights) {
if (weights.base_weights.synergy_level_weight) {
$('#synergy-level-weight-value').text(weights.base_weights.synergy_level_weight.toFixed(1));
}
if (weights.base_weights.synergy_count_weight) {
$('#synergy-count-weight-value').text(weights.base_weights.synergy_count_weight.toFixed(1));
}
if (weights.base_weights.chess_cost_weight) {
$('#chess-cost-weight-value').text(weights.base_weights.chess_cost_weight.toFixed(1));
}
}
// 设置羁绊权重
if (weights.synergy_weights) {
for (const [synergyId, weight] of Object.entries(weights.synergy_weights)) {
$(`.synergy-weight-item[data-synergy-id="${synergyId}"] .synergy-weight-value`).text(weight.toFixed(1));
}
}
// 设置棋子权重
if (weights.chess_weights) {
for (const [chessId, weight] of Object.entries(weights.chess_weights)) {
$(`.chess-weight-item[data-chess-id="${chessId}"] .chess-weight-value`).text(weight.toFixed(1));
}
}
} catch (e) {
console.error('加载权重设置失败:', e);
}
}
/**
* 保存权重设置到本地存储
*/
function saveWeightsToLocalStorage() {
// 获取基础权重
const synergyLevelWeight = parseFloat($('#synergy-level-weight-value').text());
const synergyCountWeight = parseFloat($('#synergy-count-weight-value').text());
const chessCountWeight = parseFloat($('#chess-cost-weight-value').text());
// 获取羁绊权重
const synergyWeights = {};
$('.synergy-weight-item').each(function() {
const synergyId = $(this).data('synergy-id');
const weight = parseFloat($(this).find('.synergy-weight-value').text());
synergyWeights[synergyId] = weight;
});
// 获取棋子权重
const chessWeights = {};
$('.chess-weight-item').each(function() {
const chessId = $(this).data('chess-id');
const weight = parseFloat($(this).find('.chess-weight-value').text());
chessWeights[chessId] = weight;
});
// 构建权重对象
const weightsObj = {
base_weights: {
synergy_level_weight: synergyLevelWeight,
synergy_count_weight: synergyCountWeight,
chess_cost_weight: chessCountWeight
},
synergy_weights: synergyWeights,
chess_weights: chessWeights
};
// 保存到本地存储
localStorage.setItem('tft-weights', JSON.stringify(weightsObj));
}
/**
* 重置为默认权重
*/
function resetToDefaultWeights() {
// 发送请求获取默认权重
$.ajax({
url: '/api/weights',
type: 'GET',
success: function(response) {
// 更新基础权重
if (response.base_weights) {
if (response.base_weights.synergy_level_weight) {
const slider = document.getElementById('synergy-level-weight-slider').noUiSlider;
slider.set(response.base_weights.synergy_level_weight);
}
if (response.base_weights.synergy_count_weight) {
const slider = document.getElementById('synergy-count-weight-slider').noUiSlider;
slider.set(response.base_weights.synergy_count_weight);
}
if (response.base_weights.chess_cost_weight) {
const slider = document.getElementById('chess-cost-weight-slider').noUiSlider;
slider.set(response.base_weights.chess_cost_weight);
}
}
// 更新羁绊权重
if (response.synergy_weights) {
for (const [synergyId, weight] of Object.entries(response.synergy_weights)) {
const slider = $(`.synergy-weight-item[data-synergy-id="${synergyId}"] .synergy-weight-slider`)[0];
if (slider && slider.noUiSlider) {
slider.noUiSlider.set(weight);
}
}
}
// 更新棋子权重
if (response.chess_weights) {
for (const [chessId, weight] of Object.entries(response.chess_weights)) {
const slider = $(`.chess-weight-item[data-chess-id="${chessId}"] .chess-weight-slider`)[0];
if (slider && slider.noUiSlider) {
slider.noUiSlider.set(weight);
}
}
}
// 清除本地存储
localStorage.removeItem('tft-weights');
alert('已恢复默认权重设置');
},
error: function(xhr, status, error) {
alert(`恢复默认权重失败: ${error}`);
}
});
}
/**
* 初始化基础权重滑块
*/
function initBasicWeightSliders() {
// 羁绊等级权重
const synergyLevelSlider = document.getElementById('synergy-level-weight-slider');
const synergyLevelValue = parseFloat($('#synergy-level-weight-value').text());
noUiSlider.create(synergyLevelSlider, {
start: [1.0],
start: [synergyLevelValue],
connect: [true, false],
step: 0.1,
range: {
@ -144,8 +316,10 @@ function initBasicWeightSliders() {
// 羁绊数量权重
const synergyCountSlider = document.getElementById('synergy-count-weight-slider');
const synergyCountValue = parseFloat($('#synergy-count-weight-value').text());
noUiSlider.create(synergyCountSlider, {
start: [0.5],
start: [synergyCountValue],
connect: [true, false],
step: 0.1,
range: {
@ -161,8 +335,10 @@ function initBasicWeightSliders() {
// 棋子费用权重
const chessCountSlider = document.getElementById('chess-cost-weight-slider');
const chessCountValue = parseFloat($('#chess-cost-weight-value').text());
noUiSlider.create(chessCountSlider, {
start: [0.1],
start: [chessCountValue],
connect: [true, false],
step: 0.1,
range: {
@ -289,6 +465,9 @@ function generateTeam() {
required_chess: requiredChess
};
// 保存当前设置到本地存储
saveWeightsToLocalStorage();
// 发送请求
$.ajax({
url: '/api/recommend',

View File

@ -13,14 +13,139 @@
<script src="https://unpkg.com/nouislider@15.5.1/dist/nouislider.min.js"></script>
<!-- 自定义样式 -->
<link rel="stylesheet" href="{{ url_for('static', filename='css/style.css') }}">
<style>
/* 抽屉样式 */
.drawer {
position: fixed;
top: 0;
right: -100%;
height: 100vh;
width: 320px;
background-color: white;
box-shadow: -2px 0 8px rgba(0, 0, 0, 0.1);
transition: right 0.3s ease;
z-index: 1000;
overflow-y: auto;
padding: 1rem;
}
.drawer.open {
right: 0;
}
.drawer-backdrop {
position: fixed;
top: 0;
left: 0;
width: 100vw;
height: 100vh;
background-color: rgba(0, 0, 0, 0.5);
z-index: 999;
display: none;
}
.drawer-backdrop.open {
display: block;
}
</style>
</head>
<body class="bg-gray-100 min-h-screen">
<!-- 抽屉背景遮罩 -->
<div class="drawer-backdrop" id="drawer-backdrop"></div>
<!-- 权重设置抽屉 -->
<div class="drawer" id="weights-drawer">
<div class="flex justify-between items-center mb-4">
<h2 class="text-xl font-semibold text-indigo-700">权重设置</h2>
<button id="close-drawer" class="text-gray-500 hover:text-gray-700">
<svg xmlns="http://www.w3.org/2000/svg" class="h-6 w-6" fill="none" viewBox="0 0 24 24" stroke="currentColor">
<path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M6 18L18 6M6 6l12 12" />
</svg>
</button>
</div>
<div class="mb-4">
<button id="reset-to-default" class="w-full bg-gray-200 text-gray-800 px-4 py-2 rounded-lg hover:bg-gray-300 transition-colors mb-4">
恢复默认配置
</button>
</div>
<h3 class="text-lg font-semibold mb-4 text-indigo-700">基础权重</h3>
<div class="mb-4">
<label class="block text-gray-700 mb-2">羁绊等级权重</label>
<div id="synergy-level-weight-slider" class="weight-slider"></div>
<div class="flex justify-between mt-1">
<span class="text-xs text-gray-500">0.0</span>
<span id="synergy-level-weight-value" class="text-xs text-gray-700">1.0</span>
<span class="text-xs text-gray-500">3.0</span>
</div>
</div>
<div class="mb-4">
<label class="block text-gray-700 mb-2">羁绊数量权重</label>
<div id="synergy-count-weight-slider" class="weight-slider"></div>
<div class="flex justify-between mt-1">
<span class="text-xs text-gray-500">0.0</span>
<span id="synergy-count-weight-value" class="text-xs text-gray-700">0.5</span>
<span class="text-xs text-gray-500">3.0</span>
</div>
</div>
<div class="mb-6">
<label class="block text-gray-700 mb-2">棋子费用权重</label>
<div id="chess-cost-weight-slider" class="weight-slider"></div>
<div class="flex justify-between mt-1">
<span class="text-xs text-gray-500">0.0</span>
<span id="chess-cost-weight-value" class="text-xs text-gray-700">0.1</span>
<span class="text-xs text-gray-500">1.0</span>
</div>
</div>
<div class="flex items-center justify-between mb-4">
<h3 class="text-lg font-semibold text-indigo-700">羁绊权重设置</h3>
<div class="flex items-center">
<input type="checkbox" id="show-only-active" class="mr-2">
<label for="show-only-active" class="text-sm text-gray-700">仅显示已激活</label>
</div>
</div>
<div id="synergy-weights-container" class="space-y-4 mb-6">
{% for synergy_id, weight in synergy_weights.items() %}
<div class="synergy-weight-item" data-synergy-id="{{ synergy_id }}">
<div class="flex items-center justify-between mb-1">
<label class="text-gray-700">{{ synergy_id }}</label>
<span class="synergy-weight-value text-xs text-gray-700">{{ weight }}</span>
</div>
<div class="synergy-weight-slider"></div>
</div>
{% endfor %}
</div>
<div class="flex items-center justify-between mb-4">
<h3 class="text-lg font-semibold text-indigo-700">棋子权重设置</h3>
<div class="flex items-center">
<input type="checkbox" id="show-only-active-chess" class="mr-2">
<label for="show-only-active-chess" class="text-sm text-gray-700">仅显示已激活</label>
</div>
</div>
<div id="chess-weights-container" class="space-y-4">
{% for chess_id, weight in chess_weights.items() %}
<div class="chess-weight-item" data-chess-id="{{ chess_id }}">
<div class="flex items-center justify-between mb-1">
<label class="text-gray-700">{{ chess_id }}</label>
<span class="chess-weight-value text-xs text-gray-700">{{ weight }}</span>
</div>
<div class="chess-weight-slider"></div>
</div>
{% endfor %}
</div>
</div>
<div class="container mx-auto px-4 py-8">
<h1 class="text-3xl font-bold text-center text-indigo-600 mb-8">云顶之弈阵容推荐器</h1>
<!-- 主要内容区 -->
<div class="grid grid-cols-1 lg:grid-cols-3 gap-6">
<!-- 左侧权重设置区 -->
<div class="grid grid-cols-1 lg:grid-cols-2 gap-6">
<!-- 左侧设置区 -->
<div class="lg:col-span-1 bg-white rounded-lg shadow-md p-6">
<h2 class="text-xl font-semibold mb-4 text-indigo-700">基础设置</h2>
@ -42,36 +167,10 @@
</div>
</div>
<h2 class="text-xl font-semibold mb-4 mt-6 text-indigo-700">基础权重</h2>
<div class="mb-4">
<label class="block text-gray-700 mb-2">羁绊等级权重</label>
<div id="synergy-level-weight-slider" class="weight-slider"></div>
<div class="flex justify-between mt-1">
<span class="text-xs text-gray-500">0.0</span>
<span id="synergy-level-weight-value" class="text-xs text-gray-700">1.0</span>
<span class="text-xs text-gray-500">3.0</span>
</div>
</div>
<div class="mb-4">
<label class="block text-gray-700 mb-2">羁绊数量权重</label>
<div id="synergy-count-weight-slider" class="weight-slider"></div>
<div class="flex justify-between mt-1">
<span class="text-xs text-gray-500">0.0</span>
<span id="synergy-count-weight-value" class="text-xs text-gray-700">0.5</span>
<span class="text-xs text-gray-500">3.0</span>
</div>
</div>
<div class="mb-6">
<label class="block text-gray-700 mb-2">棋子费用权重</label>
<div id="chess-cost-weight-slider" class="weight-slider"></div>
<div class="flex justify-between mt-1">
<span class="text-xs text-gray-500">0.0</span>
<span id="chess-cost-weight-value" class="text-xs text-gray-700">0.1</span>
<span class="text-xs text-gray-500">1.0</span>
</div>
<div class="flex mb-4">
<button id="open-weights-drawer" class="bg-indigo-600 text-white px-4 py-2 rounded hover:bg-indigo-700 mr-2">
打开权重设置
</button>
</div>
<!-- 必要羁绊设置 -->
@ -110,49 +209,6 @@
</button>
</div>
<!-- 中间自定义权重设置区 -->
<div class="lg:col-span-1 bg-white rounded-lg shadow-md p-6 h-[800px] overflow-y-auto">
<div class="flex items-center justify-between mb-4">
<h2 class="text-xl font-semibold text-indigo-700">羁绊权重设置</h2>
<div class="flex items-center">
<input type="checkbox" id="show-only-active" class="mr-2">
<label for="show-only-active" class="text-sm text-gray-700">仅显示已激活</label>
</div>
</div>
<div id="synergy-weights-container" class="space-y-4">
{% for synergy_id, weight in synergy_weights.items() %}
<div class="synergy-weight-item" data-synergy-id="{{ synergy_id }}">
<div class="flex items-center justify-between mb-1">
<label class="text-gray-700">{{ synergy_id }}</label>
<span class="synergy-weight-value text-xs text-gray-700">{{ weight }}</span>
</div>
<div class="synergy-weight-slider"></div>
</div>
{% endfor %}
</div>
<div class="flex items-center justify-between mt-8 mb-4">
<h2 class="text-xl font-semibold text-indigo-700">棋子权重设置</h2>
<div class="flex items-center">
<input type="checkbox" id="show-only-active-chess" class="mr-2">
<label for="show-only-active-chess" class="text-sm text-gray-700">仅显示已激活</label>
</div>
</div>
<div id="chess-weights-container" class="space-y-4">
{% for chess_id, weight in chess_weights.items() %}
<div class="chess-weight-item" data-chess-id="{{ chess_id }}">
<div class="flex items-center justify-between mb-1">
<label class="text-gray-700">{{ chess_id }}</label>
<span class="chess-weight-value text-xs text-gray-700">{{ weight }}</span>
</div>
<div class="chess-weight-slider"></div>
</div>
{% endfor %}
</div>
</div>
<!-- 右侧结果展示区 -->
<div class="lg:col-span-1 bg-white rounded-lg shadow-md p-6 h-[800px] overflow-y-auto">
<h2 class="text-xl font-semibold mb-4 text-indigo-700">阵容推荐结果</h2>

88
test_direct.py Normal file
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@ -0,0 +1,88 @@
"""
直接测试阵容推荐功能不通过HTTP请求
"""
from src.data_provider import DataQueryAPI
from src.scoring.scoring_system import TeamScorer
from src.recommendation import RecommendationEngine
import copy
def test_direct_recommendation():
"""直接测试阵容推荐功能"""
# 创建自定义配置
config = {
"base_weights": {
"synergy_level_weight": 1.5,
"synergy_count_weight": 0.8,
"chess_cost_weight": 0.3
},
"synergy_weights": {
"重装战士": 2.0,
"斗士": 1.8
},
"chess_weights": {
"盖伦": 2.0,
"赛娜": 2.5
},
"synergy_level_weights": {
"1": 1.0,
"2": 1.2,
"3": 1.5,
"4": 1.8,
"5": 2.0,
"6": 2.3,
"7": 2.6,
"8": 3.0,
"9": 3.3,
"10": 3.5
},
"cost_weights": {
"1": 1.0,
"2": 1.2,
"3": 1.5,
"4": 1.8,
"5": 2.0
}
}
# 初始化组件
data_api = DataQueryAPI()
scorer = TeamScorer(api=data_api, config_obj=copy.deepcopy(config))
engine = RecommendationEngine(api=data_api, scorer=scorer, config_obj=copy.deepcopy(config))
# 定义参数
population = 9
required_synergies = [] # 这里可以添加必选羁绊
required_chess = [] # 这里可以添加必选棋子
max_results = 3
# 生成阵容推荐
print("正在生成阵容推荐...")
teams = engine.recommend_team(
population=population,
required_synergies=required_synergies,
required_chess=required_chess,
max_results=max_results
)
# 打印结果
print(f"生成了 {len(teams)} 个推荐阵容")
for i, team in enumerate(teams):
print(f"\n阵容 #{i+1} (评分: {team.score:.2f})")
print("\n棋子列表:")
for chess in team.chess_list:
print(f" {chess.get('displayName')} ({chess.get('price')}费)")
print("\n激活的职业羁绊:")
for job in team.synergy_levels['job']:
print(f" {job['name']} (等级 {job['level']})")
print("\n激活的特质羁绊:")
for race in team.synergy_levels['race']:
print(f" {race['name']} (等级 {race['level']})")
print("\n" + "-"*50)
if __name__ == "__main__":
test_direct_recommendation()

66
test_recommendation.py Normal file
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@ -0,0 +1,66 @@
"""
测试阵容推荐功能
"""
import json
import requests
def test_recommendation():
"""
测试阵容推荐功能
"""
# 构建请求数据
data = {
"population": 9,
"num_results": 3,
"base_weights": {
"synergy_level_weight": 1.5,
"synergy_count_weight": 0.8,
"chess_cost_weight": 0.3
},
"synergy_weights": {
"重装战士": 2.0,
"斗士": 1.8
},
"chess_weights": {
"盖伦": 2.0,
"赛娜": 2.5
},
"required_synergies": [],
"required_chess": []
}
# 发送POST请求
url = "http://localhost:5000/api/recommend"
headers = {"Content-Type": "application/json"}
try:
response = requests.post(url, json=data, headers=headers)
# 检查响应状态码
if response.status_code == 200:
result = response.json()
print("请求成功!")
print(f"状态: {result['status']}")
print(f"推荐阵容数量: {len(result['results'])}")
# 打印第一个阵容的详细信息
if result['results']:
first_team = result['results'][0]
print(f"\n第一个推荐阵容评分: {first_team['score']}")
print("\n棋子列表:")
for chess in first_team['chess_list']:
print(f" {chess['name']} ({chess['cost']}费)")
print("\n激活羁绊:")
for synergy in first_team['active_synergies']:
print(f" {synergy['name']} (等级 {synergy['level']})")
else:
print(f"请求失败: {response.status_code}")
print(response.text)
except Exception as e:
print(f"发生错误: {str(e)}")
if __name__ == "__main__":
test_recommendation()