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Update Voyager_log_MetaGPT_statistical_caliber.py
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1 changed files with 19 additions and 73 deletions
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@ -12,7 +12,7 @@ import pandas as pd
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mpl.rcParams.update(mpl.rcParamsDefault)
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def extract_logs(filename, start_time=None, end_time=None):
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with open(filename, 'r',encoding='utf-8') as f:
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with open(filename, 'r', encoding='utf-8') as f:
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lines = f.readlines()
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if start_time is None :
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@ -34,7 +34,7 @@ def extract_logs(filename, start_time=None, end_time=None):
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return logs_block
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def extract_time_from_first_round_zero(log_filename):
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with open(log_filename, 'r',encoding='utf-8') as f:
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with open(log_filename, 'r', encoding='utf-8') as f:
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lines = f.readlines()
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# 反向遍历文件的每一行
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@ -45,47 +45,6 @@ def extract_time_from_first_round_zero(log_filename):
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return round_number
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return None
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"""def analyze_log_block(logs_block):
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rounds: list[int] = []
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items_collected: list[int] = []
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total_items = 0
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positions:list[(int, int, int)] = []
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completed_tasks: list[int] = []
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failed_tasks: list[int] = []
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items_variety_collected :list[int] = []
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items_collected_dict :list[dict] = []
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line_counter = 0 # 用于计数
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round_counter = 0 # 用于计数轮数
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for line in logs_block:
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if "****Curriculum Agent human message****" in line:
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line_counter = 0 # 当找到新的 "****Curriculum Agent human message****" 时重置计数器
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round_counter += 1 # 每次找到 "****Curriculum Agent human message****",轮数加1
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rounds.append(round_counter) # 将新的轮数添加到轮数列表中
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continue
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if line_counter < 50:
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if "Position: x=" in line:
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match = re.search(r'Position: x=([\d.-]+), y=([\d.-]+), z=([\d.-]+)', line)
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x, y, z = float(match.group(1)), float(match.group(2)), float(match.group(3))
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positions.append((x, y, z))
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if "Inventory (" in line:
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items = re.search(r'Inventory \(\d+/36\): ({.*?})', line).group(1)
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items_dict = eval(items)
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items_collected_dict.append(items_dict) # 将这一轮结束时的物品存储状态添加到列表中
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total_items = sum(items_dict.values())
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items_collected.append(total_items)
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items_variety_collected.append(len(items_dict)) # 统计物品种类数量
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if "Completed tasks so far:" in line:
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tasks = line.replace("Completed tasks so far:", "").strip().split(", ")
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completed_tasks.append(0 if tasks == ['None'] else len(tasks))
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if "Failed tasks that are too hard:" in line:
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tasks = line.replace("Failed tasks that are too hard:", "").strip().split(", ")
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failed_tasks.append(0 if tasks == ['None'] else len(tasks))
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line_counter += 1 # 每处理一行就将计数器加1"""
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def analyze_log_block(logs_block):
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rounds: list[int] = []
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items_collected: list[int] = []
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@ -140,6 +99,8 @@ def analyze_log_block(logs_block):
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failed_tasks.append(0 if tasks == ['None'] else len(tasks))
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min_len: int = min(len(rounds), len(items_collected), len(positions), len(completed_tasks), len(failed_tasks))
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return rounds[:min_len], items_collected[:min_len], items_variety_collected[:min_len], items_collected_dict[:min_len], positions[:min_len], completed_tasks[:min_len], failed_tasks[:min_len], biomes, biomes_per_round[:min_len], new_biome_rounds
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def save_item_results_png(rounds, items_collected, items_collected_dict, start_time, path_prefix):
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items_collected_total = {}
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items_collected_total_list = []
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@ -214,16 +175,7 @@ def save_item_results_png(rounds, items_collected, items_collected_dict, start_t
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plt.text(rounds[i], y, item, fontsize=4, color=color, ha='center', va='top',
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bbox=dict(boxstyle='round,pad=0.5', fc=bgcolor, alpha=0.5))
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"""for i in range(0, len(items_collected_dict)):
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current_round_items_set = set(items_collected_dict[i])
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diff_items = list(current_round_items_set - collected_items_set)
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collected_items_set.update(current_round_items_set)
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items_variety_collected.append(len(collected_items_set))
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if diff_items:
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for j, item in enumerate(diff_items):
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color = 'red' if item in special_items else 'black'
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plt.text(rounds[i], items_variety_collected[i] - 1 - j * 0.4, item, fontsize=8, color=color, ha='center', va='top',
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bbox=dict(boxstyle='round,pad=0.5', fc='yellow', alpha=0.5))"""
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plt.plot(rounds, items_variety_collected, label="Variety of Items Collected")
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plt.legend()
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@ -315,29 +267,23 @@ def save_task_results_png(rounds , completed, failed, start_time, path_prefix):
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plt.close()
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def main():
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# parser = argparse.ArgumentParser(description="Analyze game log file between a start and end time.")
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# parser.add_argument('--start_time', type=str, default=None, nargs='?',
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# help="Start time for analysis in the log file.")
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# parser.add_argument('--end_time', type=str, default=None, nargs='?', help="End time for analysis in the log file.")
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# args = parser.parse_args()
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# 获取当前脚本的路径
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current_script_path = os.path.dirname(os.path.abspath(__file__))
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filename = r"C:\Users\86151\Desktop\数模国赛\新建文件夹\input\VG-2.txt"
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path_prefix = r"C:\Users\86151\Desktop\数模国赛\新建文件夹\input\results_pic"
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# 构建其他文件的路径
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filename = os.path.join(current_script_path, 'input', 'VG-1.txt')
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path_prefix = os.path.join(current_script_path, 'results_pic')
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# 确保输出路径存在
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os.makedirs(path_prefix, exist_ok=True)
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# 自动寻找最新的实验开始时间
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filename = r"D:\MG-MC\input\VG-1.txt"
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path_prefix = r"D:\MG-MC\results_pic"
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start_time = extract_time_from_first_round_zero(filename)
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logs_block = extract_logs(filename)
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rounds, items_collected, items_variety_collected, items_collected_dict, positions, completed_tasks, failed_tasks, biomes, biomes_per_round, new_biome_rounds = analyze_log_block(logs_block)
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""" print(positions)
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print(items_collected_dict)
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print(items_variety_collected)
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print(completed_tasks)
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print(failed_tasks)
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print(rounds)
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print(new_biome_rounds)"""
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#print(biomes_per_round)
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#print(biomes)
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collected_items_set = set()
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total_items_variety = []
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for i in range(0, len(items_collected_dict)):
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@ -350,7 +296,7 @@ def main():
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save_item_results_png(rounds, items_collected, items_collected_dict, start_time, path_prefix)
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save_path_results_png(positions, start_time, path_prefix)
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save_task_results_png(rounds, completed_tasks, failed_tasks, start_time, path_prefix)
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#save_item_results_png(rounds, items_collected, items_variety_collected, items_collected_dict, start_time, path_prefix)
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print("种类",total_items_variety)
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print("轮次", rounds)
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@ -377,6 +323,6 @@ def main():
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df = pd.concat([df, df_new_biomes], axis=1)
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# 写入到Excel文件中
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df.to_excel(fr'D:\MG-MC\results_pic\{start_time}_results.xlsx', index=False)
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df.to_excel(os.path.join(path_prefix, f'{start_time}_results.xlsx'), index=False)
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if __name__ == "__main__":
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main()
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