commit 214e15c04c581c43e6ee037a4b4504ec2c61b0ba Author: lizhanyuan <949777411@qq.com> Date: Mon Jan 12 18:30:12 2026 +0800 Initial commit diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..013de50 --- /dev/null +++ b/.gitignore @@ -0,0 +1,32 @@ +# 忽略所有 .md 文件 +*.md + +# 忽略 doc 和 docs 目录 +doc/ +docs/ + +# Python 相关 +__pycache__/ +*.py[cod] +*$py.class +*.so +.Python +*.egg-info/ +dist/ +build/ + +# 虚拟环境 +venv/ +env/ +ENV/ + +# IDE +.vscode/ +.idea/ +*.swp +*.swo + +# 系统文件 +.DS_Store +Thumbs.db + diff --git a/config.json b/config.json new file mode 100644 index 0000000..9129692 --- /dev/null +++ b/config.json @@ -0,0 +1,20 @@ +{ + "vmware": { + "vmx_path": "/Volumes/Castor/虚拟机/Jade_Win_11.vmwarevm/Windows 11 64 位 ARM 2.vmx", + "snapshot_name": "快照 3", + "vm_password": "lizhanyuan", + "guest_username": "lzy", + "guest_password": "LIZHANYUAN" + }, + "network": { + "vm_ip": "192.168.116.149", + "agent_server_port": 5000 + }, + "paths": { + "guest_desktop": "C:\\Users\\lzy\\Desktop" + }, + "notes": { + "vm_auto_login": "已启用（UI自动登录）", + "guest_auth": "" + } +} \ No newline at end of file diff --git a/data/source/DEMO01.MDI b/data/source/DEMO01.MDI new file mode 100644 index 0000000..c804c10 --- /dev/null +++ b/data/source/DEMO01.MDI @@ -0,0 +1,409 @@ + 04/21/92 DIF Demo01: 37-1497 4-733 9-169 18-303 9-77 + 5.000 0.0200 1.0 CU 1.540598 70.000 3251 + 40 49 49 44 36 32 39 41 + 43 45 41 32 36 40 44 35 + 44 35 30 31 33 29 51 34 + 43 33 36 44 32 47 42 33 + 50 46 31 46 51 46 32 46 + 50 33 50 40 44 33 31 32 + 40 40 35 47 31 40 32 44 + 39 49 35 48 32 34 49 29 + 50 30 32 43 39 51 34 29 + 33 51 42 35 50 41 28 49 + 49 31 39 47 30 47 31 27 + 44 34 33 40 45 28 40 30 + 40 46 34 37 36 33 40 28 + 40 27 47 44 41 48 30 32 + 28 31 48 38 46 37 43 48 + 40 38 34 50 41 40 36 28 + 47 46 47 35 33 48 46 39 + 47 32 47 48 31 40 33 42 + 44 35 46 43 42 40 39 27 + 47 30 47 32 29 29 28 38 + 45 48 26 39 39 37 44 49 + 32 36 49 26 33 31 32 26 + 32 44 40 46 34 45 38 27 + 44 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1 1 1 2 4 4 1 4 + 4 1 1 4 1 2 2 3 + 2 2 3 1 2 4 1 2 + 1 1 2 1 1 4 2 1 + 3 1 4 4 4 3 1 4 + 3 2 1 4 2 2 1 3 + 3 4 1 3 2 2 3 1 + 2 2 2 3 4 1 4 3 + 4 2 1 -1 diff --git a/jade b/jade new file mode 100644 index 0000000..36cd1fe --- /dev/null +++ b/jade @@ -0,0 +1,61 @@ +#!/bin/bash +# JADE Benchmark 便捷运行脚本 + +PROJECT_ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" +cd "$PROJECT_ROOT" + +# 激活虚拟环境（如果存在） +if [ -f "../Jade-Benchmark/.venv/bin/activate" ]; then + source "../Jade-Benchmark/.venv/bin/activate" +fi + +# 主命令分发 +case "$1" in + init) + python scripts/tools/init_task.py "${@:2}" + ;; + collect) + python scripts/tools/collect_task.py "${@:2}" + ;; + process) + python scripts/tools/process_trajectory.py "${@:2}" + ;; + eval) + python scripts/tools/run_eval.py "${@:2}" + ;; + test-vm) + python scripts/core/jade_env.py + ;; + help|--help|-h) + cat << EOF +JADE Benchmark 工具集 + +用法: ./jade <命令> [参数] + +命令: + init 创建新任务 + collect [选项] 采集任务数据 + process [选项] 处理轨迹坐标 + eval [选项] 运行评测 + test-vm 测试VM连接 + +示例: + ./jade init smoothing_001 + ./jade collect smoothing_001 --mode full + ./jade process smoothing_001 + ./jade eval smoothing_001 + ./jade eval --all --output results.json + +详细文档: + - QUICK_START.md + - MIGRATION_GUIDE.md + - scripts/README.md +EOF + ;; + *) + echo "❌ 未知命令: $1" + echo "运行 './jade help' 查看帮助" + exit 1 + ;; +esac + diff --git a/requirements.txt b/requirements.txt new file mode 100644 index 0000000..18f976f --- /dev/null +++ b/requirements.txt @@ -0,0 +1,6 @@ +numpy +requests +pillow +pynput +flask +pyautogui \ No newline at end of file diff --git a/scripts/__init__.py b/scripts/__init__.py new file mode 100644 index 0000000..2a00ee0 --- /dev/null +++ b/scripts/__init__.py @@ -0,0 +1,4 @@ +""" +JADE Benchmark Scripts Package +""" + diff --git a/scripts/core/__init__.py b/scripts/core/__init__.py new file mode 100644 index 0000000..5ee38dd --- /dev/null +++ b/scripts/core/__init__.py @@ -0,0 +1,16 @@ +""" +JADE Benchmark 核心模块 +包含VM控制、轨迹录制、评测等核心功能 +""" +from .jade_env import JadeEnv +from .recorder import Recorder, record_interactive +from .evaluator import evaluate, load_xrd_data + +__all__ = [ + 'JadeEnv', + 'Recorder', + 'record_interactive', + 'evaluate', + 'load_xrd_data' +] + diff --git a/scripts/core/evaluator.py b/scripts/core/evaluator.py new file mode 100644 index 0000000..5173d7c --- /dev/null +++ b/scripts/core/evaluator.py @@ -0,0 +1,178 @@ +import json +import numpy as np +import os +import sys +import re + +def load_xrd_data(file_path): + """ + 读取 XRD 导出的 txt 文件（如 background_result.txt），跳过头部的 Metadata。 + """ + if not os.path.exists(file_path): + raise FileNotFoundError(f"文件不存在: {file_path}") + + data = [] + with open(file_path, 'r', encoding='utf-8', errors='ignore') as f: + for line in f: + line = line.strip() + if not line: + continue + parts = line.split() + try: + values = [float(x) for x in parts] + if len(values) >= 2: + data.append(values[:2]) + except ValueError: + continue + + if not data: + raise ValueError(f"在文件中未找到有效的数值数据: {file_path}") + + return np.array(data) + +def load_peak_report(file_path): + """ + 专门解析 JADE Peak Search Report (.pid) + 提取表格部分的数值数据 + """ + if not os.path.exists(file_path): + raise FileNotFoundError(f"文件不存在: {file_path}") + + peaks = [] + metadata = {} + + with open(file_path, 'r', encoding='utf-8', errors='ignore') as f: + lines = f.readlines() + + # 查找表格开始的位置（在含有 "2-Theta" 的行之后） + table_started = False + for line in lines: + line = line.strip() + if not line: + continue + + # 提取元数据示例: JADE: Peak Search Report (72 Peaks, Max P/N = 19.3) + if "Peak Search Report" in line: + match = re.search(r"\((\d+) Peaks", line) + if match: + metadata['reported_peak_count'] = int(match.group(1)) + + # 识别表头 + if "2-Theta" in line and "d(" in line: + table_started = True + continue + + if table_started: + parts = line.split() + # Peak 报告通常每行有 8-9 个字段 + if len(parts) >= 6: + try: + # 尝试将前几个字段转为 float + # 0: 2-Theta, 1: d, 2: BG, 3: Height, 4: I%, 5: Area, 6: I%, 7: FWHM + peak_data = [float(p) for p in parts[:8]] + peaks.append(peak_data) + except ValueError: + # 如果转换失败，可能是说明文字或空行，跳过 + continue + + if not peaks: + raise ValueError(f"未能从 Peak 报告中解析出有效数据: {file_path}") + + return np.array(peaks), metadata + +def evaluate(gt_path, agent_path, tolerance=1e-4, mode="xrd_data"): + """ + 对比 Ground Truth 和 Agent Output。 + 支持两种模式: + - xrd_data: 对比 (2-Theta, Intensity) 原始数据点 + - peak_report: 对比 Peak 搜索结果列表 + """ + try: + if mode == "peak_report": + gt_data, gt_meta = load_peak_report(gt_path) + agent_data, agent_meta = load_peak_report(agent_path) + + # 对于 Peak 报告，我们主要关注 2-Theta 位置和 Height + # 这里对比全表，但放宽容差，因为 Peak Search 的算法可能在不同环境下有极细微差异 + if gt_data.shape != agent_data.shape: + # 如果数量不匹配，直接判定失败 + return 0, f"失败: Peak 数量不匹配。GT {len(gt_data)}, Agent {len(agent_data)}" + else: + gt_data = load_xrd_data(gt_path) + agent_data = load_xrd_data(agent_path) + + if gt_data.shape != agent_data.shape: + return 0, f"失败: 数据维度不匹配。GT 形状 {gt_data.shape}, Agent 形状 {agent_data.shape}" + + diff = np.abs(gt_data - agent_data) + max_error = np.max(diff) + + if max_error < tolerance: + return 1, f"成功: 最大绝对误差 {max_error:.2e} < 阈值 {tolerance}" + else: + return 0, f"失败: 最大绝对误差 {max_error:.2e} 超过阈值 {tolerance}" + + except Exception as e: + return 0, f"错误: {str(e)}" + +def evaluate_by_config(config_path): + """ + 根据任务配置文件进行评测。 + """ + # 兼容性处理：如果传入的是任务 ID 路径 + if not os.path.isabs(config_path) and not config_path.startswith('.'): + # 尝试补全路径，例如 instructions/smoothing_001.json + if not config_path.endswith('.json'): + config_path = config_path + ".json" + if not os.path.exists(config_path): + # 尝试在任务目录下找 + pass + + base_dir = os.path.dirname(os.path.dirname(os.path.abspath(config_path))) + + with open(config_path, 'r', encoding='utf-8') as f: + config = json.load(f) + + eval_cfg = config.get('evaluation', {}) + # 处理相对路径 + gt_path = os.path.join(base_dir, eval_cfg['ground_truth']) + agent_path = os.path.join(base_dir, eval_cfg['target_output']) + tolerance = eval_cfg.get('tolerance', 1e-4) + + # 自动识别模式 + mode = "xrd_data" + if gt_path.lower().endswith('.pid') or eval_cfg.get('type') == 'peak_report': + mode = "peak_report" + # Peak 报告的默认容差放宽一些，因为算法可能受环境微小影响 + if 'tolerance' not in eval_cfg: + tolerance = 1e-2 + + print(f"--- 正在执行评测: {config.get('id', 'unknown')} ---") + print(f"指令: {config.get('instruction')}") + print(f"模式: {mode}") + + score, message = evaluate(gt_path, agent_path, tolerance, mode=mode) + return score, message + +if __name__ == "__main__": + if len(sys.argv) == 2 and sys.argv[1].endswith('.json'): + # 模式 A: Config 模式 + try: + score, message = evaluate_by_config(sys.argv[1]) + except Exception as e: + print(f"配置文件解析失败: {e}") + sys.exit(1) + elif len(sys.argv) >= 3: + # 模式 B: 直接对比模式 + score, message = evaluate(sys.argv[1], sys.argv[2]) + else: + print("用法:") + print(" python scripts/evaluator.py instructions/smoothing_001.json") + print(" python scripts/evaluator.py ") + sys.exit(1) + + print("-" * 30) + print(f"Score: {score}") + print(f"Reason: {message}") + print("-" * 30) + sys.exit(0 if score == 1 else 1) diff --git a/scripts/core/jade_env.py b/scripts/core/jade_env.py new file mode 100644 index 0000000..e8951fd --- /dev/null +++ b/scripts/core/jade_env.py @@ -0,0 +1,514 @@ +""" +JADE Benchmark 环境控制器 +负责VM的重置、文件注入/收集、截图获取等操作 +""" +import subprocess +import time +import os +import requests +from PIL import Image +import io +import logging + +logging.basicConfig(level=logging.INFO) +logger = logging.getLogger(__name__) + + +class JadeEnv: + """轻量级JADE虚拟机环境控制器""" + + def __init__(self, vmx_path, snapshot_name="Jade_Ready", vm_ip="192.168.116.129", + vm_password=None, guest_username=None, guest_password=None): + """ + 初始化JADE环境 + + Args: + vmx_path: 虚拟机.vmx文件路径 + snapshot_name: 快照名称 + vm_ip: 虚拟机IP地址（用于HTTP通信） + vm_password: 虚拟机文件加密密码（-vp参数） + guest_username: 虚拟机内操作系统用户名（-gu参数） + guest_password: 虚拟机内操作系统密码（-gp参数） + """ + self.vmx_path = vmx_path + self.snapshot_name = snapshot_name + self.vm_ip = vm_ip + self.vm_url = f"http://{vm_ip}:5000" + + # VMware认证参数 + self.vm_password = vm_password + self.guest_username = guest_username + self.guest_password = guest_password + + # VMware Fusion路径（macOS） + self.vmrun = "/Applications/VMware Fusion.app/Contents/Library/vmrun" + + # 虚拟机内路径 + self.guest_desktop = r"C:\Users\lzy\Desktop" + + logger.info(f"JadeEnv初始化: VM={os.path.basename(vmx_path)}, Snapshot={snapshot_name}") + logger.info(f" 认证配置: vm_password={'已设置' if vm_password else '未设置'}, " + f"guest_user={'已设置' if guest_username else '未设置'}, " + f"guest_pass={'已设置' if guest_password else '未设置'}") + + def _build_vmrun_cmd(self, *args): + """构建vmrun命令""" + cmd = [self.vmrun, "-T", "fusion"] + + # 添加认证参数 + if self.vm_password: + cmd.extend(["-vp", self.vm_password]) + if self.guest_username: + cmd.extend(["-gu", self.guest_username]) + if self.guest_password: + cmd.extend(["-gp", self.guest_password]) + + cmd.extend(args) + return cmd + + def _run_vmrun(self, *args, check=True, timeout=30): + """执行vmrun命令""" + cmd = self._build_vmrun_cmd(*args) + # 打印完整命令（隐藏密码） + cmd_display = [] + skip_next = False + for i, part in enumerate(cmd): + if skip_next: + cmd_display.append("***") + skip_next = False + elif part in ["-vp", "-gp"]: + cmd_display.append(part) + skip_next = True + else: + cmd_display.append(part) + logger.info(f"执行vmrun命令: {' '.join(cmd_display)}") + + try: + result = subprocess.run( + cmd, + stdout=subprocess.PIPE, + stderr=subprocess.PIPE, + text=True, + timeout=timeout + ) + + if check and result.returncode != 0: + error_msg = result.stderr or result.stdout + raise RuntimeError(f"vmrun命令执行失败: {error_msg}") + + return result + except subprocess.TimeoutExpired: + logger.error(f"❌ vmrun命令超时（{timeout}秒）") + raise RuntimeError(f"vmrun命令执行超时（{timeout}秒）") + + def _detect_and_update_ip(self): + """ + 检测VM的IP地址，如果变化则自动更新 + + Returns: + bool: IP是否发生变化 + """ + logger.info("🔍 检测VM IP地址...") + + try: + # 使用vmrun获取VM IP + cmd = self._build_vmrun_cmd("getGuestIPAddress", self.vmx_path) + result = subprocess.run( + cmd, + stdout=subprocess.PIPE, + stderr=subprocess.PIPE, + text=True, + timeout=10 + ) + + if result.returncode == 0: + new_ip = result.stdout.strip() + if new_ip and new_ip != "": + if new_ip != self.vm_ip: + logger.info(f"⚠️ IP地址已变化: {self.vm_ip} → {new_ip}") + logger.info(f" 自动更新IP地址...") + + # 更新实例变量 + self.vm_ip = new_ip + self.vm_url = f"http://{new_ip}:5000" + + # 更新配置文件 + try: + import json + from pathlib import Path + # 获取项目根目录（jade_env.py在scripts/core/，向上3级到项目根目录） + project_root = Path(__file__).parent.parent.parent + config_path = project_root / "config.json" + if config_path.exists(): + with open(config_path, 'r', encoding='utf-8') as f: + config = json.load(f) + config["network"]["vm_ip"] = new_ip + with open(config_path, 'w', encoding='utf-8') as f: + json.dump(config, f, indent=2, ensure_ascii=False) + logger.info(f"✅ 配置文件已更新: {config_path}") + except Exception as e: + logger.warning(f"⚠️ 更新配置文件失败: {e}（不影响使用）") + + return True + else: + logger.info(f"✅ IP地址未变化: {self.vm_ip}") + return False + else: + logger.warning(f"⚠️ vmrun返回空IP地址") + return False + else: + error_msg = result.stderr or result.stdout + logger.warning(f"⚠️ 获取IP失败: {error_msg}（将使用配置中的IP）") + return False + + except subprocess.TimeoutExpired: + logger.warning(f"⚠️ 获取IP超时（将使用配置中的IP）") + return False + except Exception as e: + logger.warning(f"⚠️ 检测IP异常: {e}（将使用配置中的IP）") + return False + + def reset(self, wait_time=5): + """ + 重置环境：恢复快照并启动虚拟机 + + Args: + wait_time: 启动后等待时间（秒） + """ + logger.info(f"正在恢复快照: {self.snapshot_name}...") + + try: + # 1. 恢复快照 + self._run_vmrun("revertToSnapshot", self.vmx_path, self.snapshot_name) + logger.info("✅ 快照恢复成功") + + time.sleep(3) + + # 2. 启动虚拟机（如果未运行） + logger.info("正在启动虚拟机...") + result = self._run_vmrun("start", self.vmx_path, check=False) + + if result.returncode == 0: + logger.info("✅ 虚拟机启动成功") + else: + # 可能已经在运行 + if "is already running" in result.stderr.lower(): + logger.info("✅ 虚拟机已在运行") + else: + logger.warning(f"启动虚拟机警告: {result.stderr}") + + # 3. 等待系统稳定（快照恢复后agent_server已在运行） + logger.info(f"等待系统稳定 ({wait_time}秒)...") + time.sleep(wait_time) + + # 4. 检测并更新IP地址（恢复快照后IP可能变化） + self._detect_and_update_ip() + + # 5. 验证HTTP服务可用 + self._wait_for_http_service() + + logger.info("✅ 环境重置完成") + + except Exception as e: + logger.error(f"❌ 环境重置失败: {e}") + raise + + def _wait_for_http_service(self, max_retries=10, retry_interval=3): + """等待agent_server.py HTTP服务可用""" + logger.info(f"等待虚拟机HTTP服务... (URL: {self.vm_url})") + + # 绕过代理（避免Clash等代理工具干扰局域网访问） + proxies = { + 'http': None, + 'https': None + } + + for i in range(max_retries): + try: + logger.debug(f"尝试连接: {self.vm_url}/screen_info (timeout=5秒, 不使用代理)") + response = requests.get(f"{self.vm_url}/screen_info", timeout=5, proxies=proxies) + logger.debug(f"收到响应: status_code={response.status_code}") + if response.status_code == 200: + logger.info("✅ HTTP服务已就绪") + return True + else: + logger.warning(f"HTTP状态码异常: {response.status_code}") + except requests.exceptions.Timeout as e: + logger.info(f"HTTP服务未就绪（超时），重试 {i+1}/{max_retries}...") + if i < max_retries - 1: + time.sleep(retry_interval) + except requests.exceptions.ConnectionError as e: + logger.info(f"HTTP服务未就绪（连接失败: {str(e)[:50]}），重试 {i+1}/{max_retries}...") + if i < max_retries - 1: + time.sleep(retry_interval) + except requests.exceptions.RequestException as e: + logger.warning(f"HTTP请求异常: {type(e).__name__}: {str(e)[:100]}") + if i < max_retries - 1: + logger.info(f"重试 {i+1}/{max_retries}...") + time.sleep(retry_interval) + else: + logger.error("❌ HTTP服务超时！") + logger.error(f" 最后错误: {e}") + return False + + logger.error("❌ HTTP服务超时！请检查agent_server.py是否在VM中运行") + logger.info(" 在VM中运行: python agent_server.py") + return False + + def inject_file(self, host_path, guest_filename=None): + """ + 将文件从主机注入到虚拟机桌面 + + Args: + host_path: 主机文件路径 + guest_filename: 虚拟机中的文件名（默认使用原文件名） + """ + if not os.path.exists(host_path): + raise FileNotFoundError(f"源文件不存在: {host_path}") + + if guest_filename is None: + guest_filename = os.path.basename(host_path) + + guest_path = f"{self.guest_desktop}\\{guest_filename}" + + # 获取文件大小 + file_size = os.path.getsize(host_path) + file_size_kb = file_size / 1024 + + logger.info(f"注入文件: {os.path.basename(host_path)} ({file_size_kb:.1f}KB) → 虚拟机桌面") + logger.info(f" 源路径: {host_path}") + logger.info(f" 目标路径: {guest_path}") + + try: + start_time = time.time() + # 使用vmrun传输（30秒超时） + self._run_vmrun( + "copyFileFromHostToGuest", + self.vmx_path, + host_path, + guest_path, + timeout=30 + ) + elapsed = time.time() - start_time + logger.info(f"✅ 文件注入成功: {guest_filename} (耗时 {elapsed:.1f}秒)") + except Exception as e: + logger.error(f"❌ 文件注入失败: {e}") + raise + + def collect_file(self, guest_filename, host_path): + """ + 从虚拟机桌面收集文件到主机 + + Args: + guest_filename: 虚拟机桌面上的文件名 + host_path: 主机保存路径 + """ + guest_path = f"{self.guest_desktop}\\{guest_filename}" + + logger.info(f"收集文件: {guest_filename} → {os.path.basename(host_path)}") + + try: + # 确保目标目录存在 + os.makedirs(os.path.dirname(host_path), exist_ok=True) + + # 方法1: 尝试使用vmrun + try: + self._run_vmrun( + "copyFileFromGuestToHost", + self.vmx_path, + guest_path, + host_path + ) + logger.info(f"✅ 文件收集成功（vmrun）: {guest_filename}") + return + except RuntimeError as e: + logger.warning(f"vmrun收集失败，尝试HTTP方式: {e}") + + # 方法2: 尝试通过HTTP下载（备用） + try: + response = requests.get( + f"{self.vm_url}/download/{guest_filename}", + timeout=10 + ) + if response.status_code == 200: + with open(host_path, 'wb') as f: + f.write(response.content) + logger.info(f"✅ 文件收集成功（HTTP）: {guest_filename}") + else: + raise RuntimeError(f"HTTP下载失败: {response.status_code}") + except Exception as http_error: + logger.error(f"❌ HTTP收集也失败: {http_error}") + raise RuntimeError(f"文件收集失败（两种方法都失败）") + + except Exception as e: + logger.error(f"❌ 文件收集失败: {e}") + raise + + def get_screenshot(self, retry_with_ip_detect=True): + """ + 获取虚拟机截图 + + Args: + retry_with_ip_detect: 如果连接失败，是否尝试检测IP并重试 + + Returns: + PIL.Image对象 + """ + try: + # 绕过代理 + proxies = {'http': None, 'https': None} + response = requests.get(f"{self.vm_url}/screenshot", timeout=5, proxies=proxies) + if response.status_code == 200: + return Image.open(io.BytesIO(response.content)) + else: + raise RuntimeError(f"截图失败: HTTP {response.status_code}") + except (requests.exceptions.ConnectionError, requests.exceptions.Timeout) as e: + if retry_with_ip_detect: + logger.warning(f"⚠️ 截图连接失败，尝试检测并更新IP...") + if self._detect_and_update_ip(): + # IP已更新，重试一次 + logger.info(f"🔄 使用新IP重试截图...") + return self.get_screenshot(retry_with_ip_detect=False) + logger.error(f"❌ 获取截图失败: {e}") + raise + except Exception as e: + logger.error(f"❌ 获取截图失败: {e}") + raise + + def get_screen_info(self, retry_with_ip_detect=True): + """ + 获取虚拟机屏幕信息（分辨率、DPI等） + + Args: + retry_with_ip_detect: 如果连接失败，是否尝试检测IP并重试 + + Returns: + dict: 包含screen_width, screen_height, dpi_scale等信息 + """ + try: + # 绕过代理 + proxies = {'http': None, 'https': None} + response = requests.get(f"{self.vm_url}/screen_info", timeout=5, proxies=proxies) + if response.status_code == 200: + return response.json() + else: + raise RuntimeError(f"获取屏幕信息失败: HTTP {response.status_code}") + except (requests.exceptions.ConnectionError, requests.exceptions.Timeout) as e: + if retry_with_ip_detect: + logger.warning(f"⚠️ 屏幕信息连接失败，尝试检测并更新IP...") + if self._detect_and_update_ip(): + # IP已更新，重试一次 + logger.info(f"🔄 使用新IP重试获取屏幕信息...") + return self.get_screen_info(retry_with_ip_detect=False) + logger.error(f"❌ 获取屏幕信息失败: {e}") + raise + except Exception as e: + logger.error(f"❌ 获取屏幕信息失败: {e}") + raise + + def list_desktop_files(self): + """ + 列出虚拟机桌面文件（用于调试） + + Returns: + list: 文件名列表 + """ + try: + # 绕过代理 + proxies = {'http': None, 'https': None} + response = requests.get(f"{self.vm_url}/list_desktop", timeout=5, proxies=proxies) + if response.status_code == 200: + return response.json().get('files', []) + else: + raise RuntimeError(f"列出文件失败: HTTP {response.status_code}") + except Exception as e: + logger.warning(f"⚠️ 列出桌面文件失败: {e}") + return [] + + def send_action(self, action_type, **params): + """ + 发送动作到虚拟机（用于未来的Agent自动执行） + + Args: + action_type: 动作类型 (click/type/hotkey) + **params: 动作参数 + """ + try: + # 绕过代理 + proxies = {'http': None, 'https': None} + payload = {"type": action_type, **params} + response = requests.post( + f"{self.vm_url}/action", + json=payload, + timeout=5, + proxies=proxies + ) + if response.status_code == 200: + logger.debug(f"动作执行成功: {action_type}") + else: + raise RuntimeError(f"动作执行失败: HTTP {response.status_code}") + except Exception as e: + logger.error(f"❌ 发送动作失败: {e}") + raise + + def get_mouse_pos(self): + """ + 从虚拟机获取当前鼠标物理坐标 + + Returns: + tuple: (x, y) 物理坐标，失败返回 (None, None) + """ + try: + # 绕过代理 + proxies = {'http': None, 'https': None} + response = requests.get(f"{self.vm_url}/mouse_pos", timeout=2, proxies=proxies) + if response.status_code == 200: + data = response.json() + return data['x'], data['y'] + return None, None + except Exception as e: + logger.debug(f"获取VM鼠标位置失败: {e}") + return None, None + + +if __name__ == "__main__": + # 测试代码 + print("JadeEnv 测试") + print("=" * 60) + + # 配置（需要根据实际情况修改） + VMX_PATH = "/Volumes/Castor/虚拟机/Jade_Win_11.vmwarevm/Windows 11 64 位 ARM 2.vmx" + SNAPSHOT = "Jade_Ready" + VM_PASSWORD = "lizhanyuan" + + try: + env = JadeEnv( + vmx_path=VMX_PATH, + snapshot_name=SNAPSHOT, + vm_password=VM_PASSWORD, + guest_username="lzy", + guest_password="LIZHANYUAN" + ) + + # 测试重置 + print("\n测试1: 重置环境") + env.reset() + + # 测试获取屏幕信息 + print("\n测试2: 获取屏幕信息") + info = env.get_screen_info() + print(f" 分辨率: {info['screen_width']}x{info['screen_height']}") + print(f" DPI缩放: {info['dpi_scale']}") + + # 测试列出桌面文件 + print("\n测试3: 列出桌面文件") + files = env.list_desktop_files() + print(f" 桌面文件: {files[:5]}..." if len(files) > 5 else f" 桌面文件: {files}") + + print("\n✅ 所有测试通过！") + + except Exception as e: + print(f"\n❌ 测试失败: {e}") + import traceback + traceback.print_exc() + diff --git a/scripts/core/recorder.py b/scripts/core/recorder.py new file mode 100644 index 0000000..33b7e6d --- /dev/null +++ b/scripts/core/recorder.py @@ -0,0 +1,295 @@ +""" +轨迹录制器 +监听鼠标键盘事件，记录操作轨迹和截图 +""" +import time +import json +import os +from datetime import datetime +from pynput import mouse, keyboard +import logging + +logging.basicConfig(level=logging.INFO) +logger = logging.getLogger(__name__) + + +class Recorder: + """轨迹录制器 - Host端事件驱动录制""" + + def __init__(self, jade_env, task_id, output_dir): + """ + 初始化录制器 + + Args: + jade_env: JadeEnv实例 + task_id: 任务ID + output_dir: 输出目录（human_demo/） + """ + self.env = jade_env + self.task_id = task_id + self.output_dir = output_dir + + # 创建输出目录 + self.screens_dir = os.path.join(output_dir, "screens") + os.makedirs(self.screens_dir, exist_ok=True) + + # 数据结构 + self.actions = [] + self.metadata = {} + self.start_time = None + self.screenshot_counter = 0 + + # 监听器 + self.mouse_listener = None + self.keyboard_listener = None + + # 状态 + self.is_recording = False + + logger.info(f"录制器初始化: 任务={task_id}") + + def start(self): + """开始录制""" + if self.is_recording: + logger.warning("录制已在进行中") + return + + self.is_recording = True + self.start_time = time.time() + + # 获取虚拟机屏幕信息 + try: + screen_info = self.env.get_screen_info() + self.metadata = { + "task_id": self.task_id, + "vm_resolution": [screen_info['screen_width'], screen_info['screen_height']], + "vm_screenshot_resolution": [screen_info['screenshot_width'], screen_info['screenshot_height']], + "vm_dpi_scale": screen_info['dpi_scale'], + "recording_start": datetime.now().isoformat(), + "recording_end": None + } + logger.info(f"虚拟机分辨率: {screen_info['screen_width']}x{screen_info['screen_height']}") + logger.info(f"截图分辨率: {screen_info['screenshot_width']}x{screen_info['screenshot_height']}") + except Exception as e: + logger.warning(f"获取屏幕信息失败: {e}") + self.metadata = { + "task_id": self.task_id, + "recording_start": datetime.now().isoformat(), + "recording_end": None + } + + # 记录初始截图 + self._capture_screenshot("initial") + + # 启动监听器 + self.mouse_listener = mouse.Listener( + on_click=self._on_mouse_click, + on_scroll=self._on_mouse_scroll + ) + self.keyboard_listener = keyboard.Listener( + on_press=self._on_key_press + ) + + self.mouse_listener.start() + self.keyboard_listener.start() + + logger.info("✅ 录制已启动") + print("\n" + "=" * 60) + print("🎥 录制进行中...") + print("💡 提示：") + print(" - 请在VMware窗口中操作JADE") + print(" - 每次点击都会自动截图") + print(" - 按 Ctrl+C 停止录制") + print("=" * 60 + "\n") + + def _on_mouse_click(self, x, y, button, pressed): + """鼠标点击事件处理""" + if not self.is_recording or not pressed: + return + + # 核心修改：立刻从虚拟机获取真实物理坐标 + vm_x, vm_y = self.env.get_mouse_pos() + + elapsed = time.time() - self.start_time + + # 记录动作 + action = { + "t": round(elapsed, 3), + "type": "click", + "button": str(button).replace("Button.", ""), + "pos_host": [x, y], # Mac 逻辑坐标（留作参考） + "pos_vm": [vm_x, vm_y] if vm_x is not None else None # 真实VM物理坐标 + } + + # 截图 + screenshot_filename = self._capture_screenshot("click") + action["screenshot"] = screenshot_filename + + self.actions.append(action) + + if vm_x is not None: + logger.info(f"[{elapsed:.1f}s] 点击: VM({vm_x}, {vm_y}) [Host: {int(x)}, {int(y)}] {action['button']}") + else: + logger.info(f"[{elapsed:.1f}s] 点击: Host({int(x)}, {int(y)}) [VM获取失败] {action['button']}") + + def _on_mouse_scroll(self, x, y, dx, dy): + """鼠标滚轮事件处理""" + if not self.is_recording: + return + + elapsed = time.time() - self.start_time + + action = { + "t": round(elapsed, 3), + "type": "scroll", + "pos_host": [x, y], + "delta": [dx, dy], + "pos_vm": None + } + + self.actions.append(action) + logger.debug(f"[{elapsed:.1f}s] 滚轮: ({x}, {y}) delta=({dx}, {dy})") + + def _on_key_press(self, key): + """键盘按键事件处理""" + if not self.is_recording: + return + + elapsed = time.time() - self.start_time + + # 转换按键名称 + try: + if hasattr(key, 'char') and key.char: + key_name = key.char + else: + key_name = str(key).replace("Key.", "") + except: + key_name = str(key) + + action = { + "t": round(elapsed, 3), + "type": "key", + "key": key_name + } + + self.actions.append(action) + logger.debug(f"[{elapsed:.1f}s] 按键: {key_name}") + + def _capture_screenshot(self, tag=""): + """ + 捕获截图 + + Args: + tag: 标签（用于文件名） + + Returns: + str: 截图相对路径 + """ + try: + screenshot = self.env.get_screenshot() + + # 生成文件名 + self.screenshot_counter += 1 + if tag: + filename = f"{self.screenshot_counter:04d}_{tag}.png" + else: + filename = f"{self.screenshot_counter:04d}.png" + + filepath = os.path.join(self.screens_dir, filename) + screenshot.save(filepath) + + logger.debug(f"截图保存: {filename}") + return f"screens/{filename}" + + except Exception as e: + logger.error(f"截图失败: {e}") + return None + + def stop(self): + """停止录制""" + if not self.is_recording: + logger.warning("录制未在进行中") + return + + self.is_recording = False + + # 停止监听器 + if self.mouse_listener: + self.mouse_listener.stop() + if self.keyboard_listener: + self.keyboard_listener.stop() + + # 记录结束截图 + self._capture_screenshot("final") + + # 更新元数据 + self.metadata["recording_end"] = datetime.now().isoformat() + self.metadata["total_duration"] = round(time.time() - self.start_time, 2) + self.metadata["total_actions"] = len(self.actions) + self.metadata["total_screenshots"] = self.screenshot_counter + + logger.info("✅ 录制已停止") + + def save(self): + """保存轨迹数据""" + if self.is_recording: + logger.warning("录制仍在进行，先停止录制") + self.stop() + + # 保存原始数据（未处理坐标） + output_data = { + "metadata": self.metadata, + "actions": self.actions + } + + raw_path = os.path.join(self.output_dir, "actions_raw.json") + + with open(raw_path, 'w', encoding='utf-8') as f: + json.dump(output_data, f, indent=2, ensure_ascii=False) + + logger.info(f"✅ 轨迹数据已保存: {raw_path}") + logger.info(f" - 总动作数: {len(self.actions)}") + logger.info(f" - 截图数: {self.screenshot_counter}") + logger.info(f" - 总时长: {self.metadata.get('total_duration', 0):.1f}秒") + + print("\n" + "=" * 60) + print("📊 录制统计:") + print(f" 动作数: {len(self.actions)}") + print(f" 截图数: {self.screenshot_counter}") + print(f" 时长: {self.metadata.get('total_duration', 0):.1f}秒") + print(f" 保存位置: {raw_path}") + print("=" * 60) + print("\n💡 下一步：运行坐标转换") + print(f" python scripts/tools/process_trajectory.py {self.task_id}") + print("=" * 60 + "\n") + + +def record_interactive(jade_env, task_id, output_dir): + """ + 交互式录制（带Ctrl+C停止） + + Args: + jade_env: JadeEnv实例 + task_id: 任务ID + output_dir: 输出目录 + """ + recorder = Recorder(jade_env, task_id, output_dir) + recorder.start() + + try: + # 保持录制状态，直到Ctrl+C + while recorder.is_recording: + time.sleep(0.1) + except KeyboardInterrupt: + print("\n\n⏹ 收到停止信号...") + finally: + recorder.stop() + recorder.save() + + return recorder + + +if __name__ == "__main__": + print("Recorder 独立测试模式") + print("提示: 通常应该通过 collect_task.py 调用") + diff --git a/scripts/guest_scripts/agent_server.py b/scripts/guest_scripts/agent_server.py new file mode 100644 index 0000000..d3831c6 --- /dev/null +++ b/scripts/guest_scripts/agent_server.py @@ -0,0 +1,182 @@ +# 运行在 Windows 虚拟机内部 +from flask import Flask, request, send_file +import pyautogui +import io +import os +import subprocess +import ctypes +import time + +app = Flask(__name__) + +# 获取Windows DPI缩放比例 +def get_dpi_scale(): + """获取Windows的DPI缩放比例""" + try: + # 获取主显示器的DPI缩放比例 + scale_factor = ctypes.windll.shcore.GetScaleFactorForDevice(0) / 100.0 + return scale_factor + except: + # 如果获取失败，默认返回1.0（无缩放） + return 1.0 + +# 获取实际屏幕分辨率 +def get_screen_size(): + """获取实际屏幕分辨率（物理像素）""" + try: + user32 = ctypes.windll.user32 + width = user32.GetSystemMetrics(0) # SM_CXSCREEN + height = user32.GetSystemMetrics(1) # SM_CYSCREEN + return width, height + except: + # 如果获取失败，使用 pyautogui 的方法 + return pyautogui.size() + +DPI_SCALE = get_dpi_scale() +SCREEN_WIDTH, SCREEN_HEIGHT = get_screen_size() +print(f"检测到DPI缩放比例: {DPI_SCALE}") +print(f"实际屏幕分辨率: {SCREEN_WIDTH} x {SCREEN_HEIGHT}") + +# 获取截图分辨率（用于坐标转换） +def get_screenshot_size(): + """获取截图的实际分辨率""" + img = pyautogui.screenshot() + return img.size[0], img.size[1] + +SCREENSHOT_WIDTH, SCREENSHOT_HEIGHT = get_screenshot_size() +print(f"截图分辨率: {SCREENSHOT_WIDTH} x {SCREENSHOT_HEIGHT}") + +# 1. 获取屏幕截图 +@app.route('/screenshot', methods=['GET']) +def screenshot(): + img = pyautogui.screenshot() + img_io = io.BytesIO() + img.save(img_io, 'PNG') + img_io.seek(0) + return send_file(img_io, mimetype='image/png') + +# 获取分辨率信息（用于调试） +@app.route('/screen_info', methods=['GET']) +def screen_info(): + """返回屏幕和截图的分辨率信息，用于调试坐标转换""" + screenshot_w, screenshot_h = get_screenshot_size() + return { + "screen_width": SCREEN_WIDTH, + "screen_height": SCREEN_HEIGHT, + "screenshot_width": screenshot_w, + "screenshot_height": screenshot_h, + "dpi_scale": DPI_SCALE, + "scale_ratio_x": SCREEN_WIDTH / screenshot_w if screenshot_w > 0 else 1.0, + "scale_ratio_y": SCREEN_HEIGHT / screenshot_h if screenshot_h > 0 else 1.0 + } + +# 2. 执行动作 +@app.route('/action', methods=['POST']) +def action(): + data = request.json + try: + if data['type'] == 'click': + # 获取当前截图分辨率（可能每次不同） + screenshot_w, screenshot_h = get_screenshot_size() + + # 从截图坐标转换为实际屏幕坐标 + # 如果截图分辨率和屏幕分辨率不同，需要按比例缩放 + x = data['x'] + y = data['y'] + + # 计算缩放比例 + scale_x = SCREEN_WIDTH / screenshot_w if screenshot_w > 0 else 1.0 + scale_y = SCREEN_HEIGHT / screenshot_h if screenshot_h > 0 else 1.0 + + # 应用缩放 + actual_x = int(x * scale_x) + actual_y = int(y * scale_y) + + print(f"收到坐标: ({x}, {y}) -> 转换后: ({actual_x}, {actual_y}) [缩放比例: {scale_x:.2f}, {scale_y:.2f}]") + + pyautogui.click(x=actual_x, y=actual_y) + elif data['type'] == 'type': + pyautogui.write(data['text']) + elif data['type'] == 'hotkey': + pyautogui.hotkey(*data['keys']) # 例如 ['ctrl', 's'] + return {"status": "success"} + except Exception as e: + return {"status": "error", "msg": str(e)} + +# 获取当前鼠标位置 (用于Host录制辅助) +@app.route('/mouse_pos', methods=['GET']) +def mouse_pos(): + """获取虚拟机当前鼠标位置""" + try: + x, y = pyautogui.position() + return { + "status": "success", + "x": int(x), + "y": int(y), + "timestamp": time.time() + } + except Exception as e: + return {"status": "error", "msg": str(e)}, 500 + +# 3. [关键！] 初始化环境 +@app.route('/reset', methods=['POST']) +def reset(): + # 这里可以写简单的逻辑： + # 1. 杀死 Jade 进程 + os.system("taskkill /f /im jade.exe") + # 2. 这里的"重置"比快照弱，但对于 M1 调试更方便 + # 如果必须用快照，需要在 Step 3 的 Mac 端调用 vmrun + return {"status": "reset_done"} + +# 4. 列出桌面文件（用于调试） +@app.route('/list_desktop', methods=['GET']) +def list_desktop(): + """列出桌面上的文件""" + try: + desktop = os.path.expanduser(r"~\Desktop") + if os.path.exists(desktop): + files = os.listdir(desktop) + return {"status": "success", "files": files, "desktop_path": desktop} + else: + return {"status": "error", "msg": "Desktop path not found"} + except Exception as e: + return {"status": "error", "msg": str(e)} + +# 5. 下载桌面文件（备用文件收集方式） +@app.route('/download/', methods=['GET']) +def download_file(filename): + """ + 从桌面下载文件 + 用作vmrun文件传输的备用方案 + """ + try: + desktop = os.path.expanduser(r"~\Desktop") + filepath = os.path.join(desktop, filename) + + if not os.path.exists(filepath): + return {"status": "error", "msg": f"File not found: {filename}"}, 404 + + return send_file(filepath, as_attachment=True, download_name=filename) + except Exception as e: + return {"status": "error", "msg": str(e)}, 500 + +if __name__ == '__main__': + # 监听 0.0.0.0 允许外部访问 + print("\n" + "=" * 60) + print("JADE Agent Server 启动") + print("=" * 60) + print(f"监听地址: 0.0.0.0:5000") + print(f"屏幕分辨率: {SCREEN_WIDTH}x{SCREEN_HEIGHT}") + print(f"截图分辨率: {SCREENSHOT_WIDTH}x{SCREENSHOT_HEIGHT}") + print(f"DPI缩放: {DPI_SCALE}") + print("=" * 60) + print("\n可用接口:") + print(" GET /screenshot - 获取屏幕截图") + print(" GET /screen_info - 获取屏幕信息") + print(" POST /action - 执行动作") + print(" POST /reset - 重置环境") + print(" GET /list_desktop - 列出桌面文件") + print(" GET /download/ - 下载桌面文件") + print("=" * 60 + "\n") + + app.run(host='0.0.0.0', port=5000) diff --git a/scripts/guest_scripts/start_agent.bat b/scripts/guest_scripts/start_agent.bat new file mode 100644 index 0000000..bc880c9 --- /dev/null +++ b/scripts/guest_scripts/start_agent.bat @@ -0,0 +1,4 @@ +@echo off +cd C:\Users\lzy\workplace\OSWorld\desktop_env\server\ +..venv\bin\activate +python agent_server.py \ No newline at end of file diff --git a/scripts/tools/batch_create_tasks.py b/scripts/tools/batch_create_tasks.py new file mode 100755 index 0000000..66def19 --- /dev/null +++ b/scripts/tools/batch_create_tasks.py @@ -0,0 +1,213 @@ +#!/usr/bin/env python3 +# -*- coding: utf-8 -*- +""" +批量创建任务 +从JSON定义文件批量创建任务 +用法: + python scripts/tools/batch_create_tasks.py tasks/batch_definitions/basic_processing_tasks.json +""" + +import json +import os +import sys +from pathlib import Path + +# 添加项目根目录到路径 +project_root = Path(__file__).parent.parent.parent +sys.path.insert(0, str(project_root)) + +from scripts.tools.init_task import init_task + + +def batch_create_tasks(definition_file, project_root=".", force=False, skip_existing=True): + """ + 批量创建任务 + + Args: + definition_file: 任务定义JSON文件路径 + project_root: 项目根目录 + force: 是否强制覆盖已存在的任务 + skip_existing: 是否跳过已存在的任务（与force互斥） + """ + # 读取任务定义 + with open(definition_file, 'r', encoding='utf-8') as f: + data = json.load(f) + + tasks = data.get("tasks", []) + category = data.get("category", "unknown") + tutorial_source = data.get("tutorial_source", "") + + print("=" * 60) + print(f"📚 批量创建任务: {category}") + if tutorial_source: + print(f" 教程来源: {tutorial_source}") + print(f" 任务数量: {len(tasks)}") + print("=" * 60) + + results = { + "success": [], + "skipped": [], + "failed": [] + } + + for i, task_def in enumerate(tasks, 1): + task_id = task_def["id"] + print(f"\n[{i}/{len(tasks)}] 处理任务: {task_id}") + print("-" * 60) + + # 检查是否已存在 + task_dir = os.path.join(project_root, "tasks", task_id) + if os.path.exists(task_dir) and not force: + if skip_existing: + print(f"⏭️ 跳过（已存在）: {task_id}") + results["skipped"].append(task_id) + continue + else: + print(f"⚠️ 任务已存在: {task_id}") + print(" 使用 --force 强制覆盖，或设置 skip_existing=True") + results["failed"].append((task_id, "已存在")) + continue + + try: + # 调用 init_task 创建任务结构 + success = init_task( + task_id=task_id, + project_root=project_root, + force=force, + category=task_def.get("category", category), + difficulty=task_def.get("difficulty", "easy"), + instruction=task_def.get("instruction", "") + ) + + if not success: + results["failed"].append((task_id, "初始化失败")) + continue + + # 更新 task.json + task_json_path = os.path.join(task_dir, "task.json") + if os.path.exists(task_json_path): + with open(task_json_path, 'r', encoding='utf-8') as f: + task_config = json.load(f) + + # 更新输入输出配置 + source_file = task_def.get("source_file", "DEMO01.MDI") + if not os.path.isabs(source_file) and not source_file.startswith("../"): + source_file = f"../../data/source/{source_file}" + + filename = os.path.basename(source_file) + inject_to = f"C:\\Users\\lzy\\Desktop\\{filename}" + + output_filename = task_def.get("output_filename", "result.txt") + collect_from = f"C:\\Users\\lzy\\Desktop\\{output_filename}" + + task_config["input"] = { + "source_file": source_file, + "inject_to": inject_to + } + task_config["output"] = { + "expected_file": output_filename, + "collect_from": collect_from + } + + # 更新评测方法 + eval_method = task_def.get("evaluation_method", "xrd_data_compare") + task_config["evaluation"]["method"] = eval_method + + # 添加教程来源 + if task_def.get("tutorial_source"): + task_config["tutorial_source"] = task_def["tutorial_source"] + + # 添加备注 + if task_def.get("notes"): + task_config["notes"] = task_def["notes"] + + # 保存 + with open(task_json_path, 'w', encoding='utf-8') as f: + json.dump(task_config, f, ensure_ascii=False, indent=2) + + print(f"✅ 任务创建成功: {task_id}") + results["success"].append(task_id) + else: + print(f"❌ task.json 未创建: {task_json_path}") + results["failed"].append((task_id, "配置文件未创建")) + + except Exception as e: + print(f"❌ 创建任务失败: {task_id}") + print(f" 错误: {e}") + import traceback + traceback.print_exc() + results["failed"].append((task_id, str(e))) + + # 打印总结 + print("\n" + "=" * 60) + print("📊 批量创建总结") + print("=" * 60) + print(f"✅ 成功: {len(results['success'])}") + if results["success"]: + for task_id in results["success"]: + print(f" - {task_id}") + + if results["skipped"]: + print(f"\n⏭️ 跳过: {len(results['skipped'])}") + for task_id in results["skipped"]: + print(f" - {task_id}") + + if results["failed"]: + print(f"\n❌ 失败: {len(results['failed'])}") + for task_id, reason in results["failed"]: + print(f" - {task_id}: {reason}") + + print("=" * 60) + + return results + + +def main(): + import argparse + + parser = argparse.ArgumentParser( + description="批量创建任务", + formatter_class=argparse.RawDescriptionHelpFormatter, + epilog=""" +使用示例: + # 批量创建任务（跳过已存在的） + python scripts/tools/batch_create_tasks.py tasks/batch_definitions/basic_processing_tasks.json + + # 强制覆盖已存在的任务 + python scripts/tools/batch_create_tasks.py tasks/batch_definitions/basic_processing_tasks.json --force + + # 不跳过已存在的任务（遇到已存在就失败） + python scripts/tools/batch_create_tasks.py tasks/batch_definitions/basic_processing_tasks.json --no-skip-existing + """ + ) + + parser.add_argument("definition_file", help="任务定义JSON文件路径") + parser.add_argument("--project-root", default=".", help="项目根目录") + parser.add_argument("--force", action="store_true", help="强制覆盖已存在的任务") + parser.add_argument("--no-skip-existing", action="store_true", help="不跳过已存在的任务（遇到就失败）") + + args = parser.parse_args() + + if not os.path.exists(args.definition_file): + print(f"❌ 定义文件不存在: {args.definition_file}") + sys.exit(1) + + skip_existing = not args.no_skip_existing + + results = batch_create_tasks( + args.definition_file, + args.project_root, + force=args.force, + skip_existing=skip_existing + ) + + # 如果有失败的任务，返回非0退出码 + if results["failed"]: + sys.exit(1) + else: + sys.exit(0) + + +if __name__ == "__main__": + main() + diff --git a/scripts/tools/collect_task.py b/scripts/tools/collect_task.py new file mode 100644 index 0000000..e674257 --- /dev/null +++ b/scripts/tools/collect_task.py @@ -0,0 +1,265 @@ +""" +任务数据采集入口 +整合环境控制、轨迹录制、文件收集的完整流程 +""" +import os +import sys +import argparse +import json +import logging + +# 添加父目录到路径 +sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__)))) + +from core.jade_env import JadeEnv +from core.recorder import record_interactive +from utils.config_loader import load_config, get_vm_config, get_network_config + +logging.basicConfig(level=logging.INFO, format='%(levelname)s: %(message)s') +logger = logging.getLogger(__name__) + + +def load_default_config(): + """加载默认配置""" + try: + config = load_config() + vm_config = get_vm_config(config) + network_config = get_network_config(config) + + return { + "vmx_path": vm_config.get('vmx_path'), + "snapshot_name": vm_config.get('snapshot_name', 'Jade_Ready'), + "vm_ip": network_config.get('vm_ip'), + "vm_password": vm_config.get('vm_password'), + "guest_username": vm_config.get('guest_username'), + "guest_password": vm_config.get('guest_password') + } + except Exception as e: + logger.warning(f"⚠️ 无法加载config.json: {e}") + logger.info(" 使用硬编码配置") + return { + "vmx_path": "/Volumes/Castor/虚拟机/Jade_Win_11.vmwarevm/Windows 11 64 位 ARM 2.vmx", + "snapshot_name": "Jade_Ready", + "vm_ip": "192.168.116.129", + "vm_password": "lizhanyuan", + "guest_username": "lzy", + "guest_password": "LIZHANYUAN" + } + + +def load_task_config(task_id, project_root="."): + """加载任务配置文件""" + task_json_path = os.path.join(project_root, "tasks", task_id, "task.json") + + if not os.path.exists(task_json_path): + logger.error(f"❌ 任务配置文件不存在: {task_json_path}") + logger.info(" 请先创建任务目录和task.json") + return None + + with open(task_json_path, 'r', encoding='utf-8') as f: + return json.load(f) + + +def mode_reset(env, task_config, project_root="."): + """ + 模式1: 重置环境并注入输入文件 + """ + print("\n" + "=" * 60) + print("🔄 模式: 重置环境") + print("=" * 60) + + # 1. 重置虚拟机 + env.reset() + + # 2. 注入输入文件 + if 'input' in task_config: + input_config = task_config['input'] + source_file = input_config.get('source_file') + + if source_file: + # 处理相对路径（相对于任务目录） + if not os.path.isabs(source_file): + task_dir = os.path.join(project_root, "tasks", task_config['id']) + source_file = os.path.normpath(os.path.join(task_dir, source_file)) + + # 确保使用绝对路径 + source_file = os.path.abspath(source_file) + + if os.path.exists(source_file): + # 从Windows路径中提取文件名（处理反斜杠） + inject_to = input_config.get('inject_to', '') + if inject_to: + # 使用Windows路径分隔符分割 + guest_filename = inject_to.split('\\')[-1] + else: + guest_filename = os.path.basename(source_file) + + env.inject_file(source_file, guest_filename) + else: + logger.warning(f"⚠️ 输入文件不存在: {source_file}") + + print("\n✅ 环境准备完成！") + print("=" * 60) + print("💡 下一步：开始录制操作") + print(f" python scripts/tools/collect_task.py {task_config['id']} --mode record") + print("=" * 60 + "\n") + + +def mode_record(env, task_config, project_root="."): + """ + 模式2: 录制人类操作轨迹 + """ + task_id = task_config['id'] + output_dir = os.path.join(project_root, "tasks", task_id, "human_demo") + + print("\n" + "=" * 60) + print("🎥 模式: 录制轨迹") + print("=" * 60) + print(f"任务: {task_config.get('instruction', 'N/A')}") + print("=" * 60) + + # 创建录制器并开始录制 + record_interactive(env, task_id, output_dir) + + print("\n💡 下一步：处理坐标转换") + print(f" python scripts/tools/process_trajectory.py {task_id}") + print("=" * 60 + "\n") + + +def mode_collect(env, task_config, project_root="."): + """ + 模式3: 收集输出文件到ground_truth + """ + print("\n" + "=" * 60) + print("📦 模式: 收集结果文件") + print("=" * 60) + + task_id = task_config['id'] + + if 'output' in task_config: + output_config = task_config['output'] + expected_file = output_config.get('expected_file') + + if expected_file: + # 目标路径 + gt_dir = os.path.join(project_root, "tasks", task_id, "ground_truth") + os.makedirs(gt_dir, exist_ok=True) + + host_path = os.path.join(gt_dir, expected_file) + + # 收集文件 + env.collect_file(expected_file, host_path) + + print(f"\n✅ 文件已保存到: {host_path}") + else: + logger.warning("⚠️ 任务配置中未指定expected_file") + else: + logger.warning("⚠️ 任务配置中未指定output") + + print("\n" + "=" * 60) + print("💡 下一步：验证评测") + print(f" python scripts/tools/run_eval.py {task_id}") + print("=" * 60 + "\n") + + +def mode_full(env, task_config, project_root="."): + """ + 模式4: 完整流程（reset + record + collect） + """ + print("\n" + "=" * 60) + print("🔄 模式: 完整采集流程") + print("=" * 60) + + # Step 1: Reset + mode_reset(env, task_config, project_root) + + # Step 2: Record + input("\n按Enter键开始录制...") + mode_record(env, task_config, project_root) + + # Step 3: Collect + input("\n按Enter键收集结果...") + mode_collect(env, task_config, project_root) + + print("\n✅ 完整采集流程完成！") + + +def main(): + parser = argparse.ArgumentParser( + description="JADE Benchmark 任务数据采集工具", + formatter_class=argparse.RawDescriptionHelpFormatter, + epilog=""" +使用示例: + # 完整流程（推荐） + python scripts/collect_task.py smoothing_001 --mode full + + # 分步执行 + python scripts/collect_task.py smoothing_001 --mode reset # 1. 重置并注入文件 + python scripts/collect_task.py smoothing_001 --mode record # 2. 录制操作 + python scripts/collect_task.py smoothing_001 --mode collect # 3. 收集结果 + """ + ) + + parser.add_argument("task_id", help="任务ID（对应tasks/目录下的子目录名）") + parser.add_argument( + "--mode", + choices=["reset", "record", "collect", "full"], + default="full", + help="采集模式（默认：full）" + ) + parser.add_argument("--project-root", default=".", help="项目根目录") + parser.add_argument("--vmx", help="虚拟机.vmx文件路径（覆盖默认配置）") + parser.add_argument("--snapshot", help="快照名称（覆盖默认配置）") + parser.add_argument("--vm-ip", help="虚拟机IP地址（覆盖默认配置）") + + args = parser.parse_args() + + # 加载任务配置 + task_config = load_task_config(args.task_id, args.project_root) + if not task_config: + sys.exit(1) + + # 加载并合并配置 + config = load_default_config() + if args.vmx: + config['vmx_path'] = args.vmx + if args.snapshot: + config['snapshot_name'] = args.snapshot + if args.vm_ip: + config['vm_ip'] = args.vm_ip + + # 初始化环境 + try: + logger.info("初始化JADE环境...") + env = JadeEnv( + vmx_path=config['vmx_path'], + snapshot_name=config['snapshot_name'], + vm_ip=config['vm_ip'], + vm_password=config.get('vm_password'), + guest_username=config.get('guest_username'), + guest_password=config.get('guest_password') + ) + + # 执行对应模式 + if args.mode == "reset": + mode_reset(env, task_config, args.project_root) + elif args.mode == "record": + mode_record(env, task_config, args.project_root) + elif args.mode == "collect": + mode_collect(env, task_config, args.project_root) + elif args.mode == "full": + mode_full(env, task_config, args.project_root) + + except KeyboardInterrupt: + print("\n\n⏹ 操作已取消") + sys.exit(1) + except Exception as e: + logger.error(f"❌ 错误: {e}") + import traceback + traceback.print_exc() + sys.exit(1) + + +if __name__ == "__main__": + main() + diff --git a/scripts/tools/detect_vm_ip.py b/scripts/tools/detect_vm_ip.py new file mode 100755 index 0000000..a2ccf4c --- /dev/null +++ b/scripts/tools/detect_vm_ip.py @@ -0,0 +1,223 @@ +#!/usr/bin/env python3 +# -*- coding: utf-8 -*- +""" +自动检测VM的IP地址 +使用vmrun getGuestIPAddress命令获取VM的当前IP +""" +import subprocess +import sys +import json +import os +from pathlib import Path + +try: + import requests +except ImportError: + requests = None + +# 添加项目根目录到路径 +project_root = Path(__file__).parent.parent.parent +sys.path.insert(0, str(project_root)) + +from scripts.utils.config_loader import load_config + + +def get_vm_ip(vmx_path, vm_password=None): + """ + 使用vmrun获取VM的IP地址 + + Args: + vmx_path: 虚拟机.vmx文件路径 + vm_password: 虚拟机文件加密密码（可选） + + Returns: + str: VM的IP地址，如果失败返回None + """ + vmrun = "/Applications/VMware Fusion.app/Contents/Library/vmrun" + + # 构建命令 + cmd = [vmrun, "-T", "fusion"] + if vm_password: + cmd.extend(["-vp", vm_password]) + cmd.extend(["getGuestIPAddress", vmx_path]) + + try: + result = subprocess.run( + cmd, + stdout=subprocess.PIPE, + stderr=subprocess.PIPE, + text=True, + timeout=10 + ) + + if result.returncode == 0: + ip = result.stdout.strip() + if ip and ip != "": + return ip + else: + print(f"⚠️ vmrun返回空IP地址") + return None + else: + error_msg = result.stderr or result.stdout + print(f"❌ 获取IP失败: {error_msg}") + return None + + except subprocess.TimeoutExpired: + print(f"❌ 获取IP超时") + return None + except Exception as e: + print(f"❌ 获取IP异常: {e}") + return None + + +def update_config_ip(new_ip, config_path="config.json"): + """ + 更新config.json中的IP地址 + + Args: + new_ip: 新的IP地址 + config_path: 配置文件路径 + """ + config_path = os.path.join(project_root, config_path) + + if not os.path.exists(config_path): + print(f"❌ 配置文件不存在: {config_path}") + return False + + try: + with open(config_path, 'r', encoding='utf-8') as f: + config = json.load(f) + + old_ip = config.get("network", {}).get("vm_ip", "未知") + + if old_ip == new_ip: + print(f"✅ IP地址未变化: {new_ip}") + return True + + config["network"]["vm_ip"] = new_ip + + with open(config_path, 'w', encoding='utf-8') as f: + json.dump(config, f, indent=2, ensure_ascii=False) + + print(f"✅ 已更新IP地址: {old_ip} → {new_ip}") + return True + + except Exception as e: + print(f"❌ 更新配置文件失败: {e}") + return False + + +def test_http_connection(ip, port=5000, timeout=5): + """ + 测试HTTP连接是否可用 + + Args: + ip: VM的IP地址 + port: 端口号 + timeout: 超时时间（秒） + + Returns: + bool: 连接是否成功 + """ + try: + import requests + except ImportError: + print(f"⚠️ requests模块未安装，跳过HTTP连接测试") + return False + + url = f"http://{ip}:{port}/screen_info" + proxies = {'http': None, 'https': None} # 绕过代理 + + try: + response = requests.get(url, timeout=timeout, proxies=proxies) + if response.status_code == 200: + print(f"✅ HTTP服务连接成功: {url}") + return True + else: + print(f"⚠️ HTTP服务响应异常: 状态码 {response.status_code}") + return False + except requests.exceptions.Timeout: + print(f"⚠️ HTTP服务连接超时: {url}") + return False + except requests.exceptions.ConnectionError as e: + print(f"⚠️ HTTP服务连接失败: {url}") + print(f" 错误: {str(e)[:100]}") + return False + except Exception as e: + print(f"⚠️ HTTP连接异常: {e}") + return False + + +def main(): + """主函数""" + print("=" * 60) + print("🔍 检测VM IP地址") + print("=" * 60) + + # 加载配置 + try: + config = load_config() + vmx_path = config["vmware"]["vmx_path"] + vm_password = config["vmware"].get("vm_password") + current_ip = config["network"].get("vm_ip", "未知") + except Exception as e: + print(f"❌ 加载配置失败: {e}") + sys.exit(1) + + print(f"\n📋 当前配置:") + print(f" VM路径: {os.path.basename(vmx_path)}") + print(f" 当前IP: {current_ip}") + print(f" 端口: {config['network'].get('agent_server_port', 5000)}") + + # 获取VM IP + print(f"\n🔍 正在获取VM IP地址...") + vm_ip = get_vm_ip(vmx_path, vm_password) + + if not vm_ip: + print("\n❌ 无法获取VM IP地址") + print(" 可能原因:") + print(" 1. VM未运行") + print(" 2. VM网络未配置") + print(" 3. vmrun命令执行失败") + sys.exit(1) + + print(f"✅ 检测到VM IP: {vm_ip}") + + # 测试HTTP连接 + port = config["network"].get("agent_server_port", 5000) + print(f"\n🔗 测试HTTP连接 (端口 {port})...") + http_ok = test_http_connection(vm_ip, port) + + # 询问是否更新配置 + if vm_ip != current_ip: + print(f"\n⚠️ IP地址已变化: {current_ip} → {vm_ip}") + + if http_ok: + print(f"\n❓ 是否更新配置文件? (y/n): ", end="") + try: + choice = input().strip().lower() + if choice == 'y': + if update_config_ip(vm_ip): + print(f"\n✅ 配置已更新！") + else: + print(f"\n❌ 配置更新失败") + else: + print(f"\n⏭️ 跳过更新") + except KeyboardInterrupt: + print(f"\n\n⚠️ 用户取消") + else: + print(f"\n⚠️ HTTP服务不可用，请检查:") + print(f" 1. VM中是否运行了 agent_server.py?") + print(f" 2. 端口 {port} 是否被占用?") + print(f" 3. 防火墙是否阻止了连接?") + else: + print(f"\n✅ IP地址未变化") + if not http_ok: + print(f"\n⚠️ 但HTTP服务不可用，请检查VM中的agent_server.py") + + print("=" * 60) + + +if __name__ == "__main__": + main() + diff --git a/scripts/tools/extract_task_from_tutorial.py b/scripts/tools/extract_task_from_tutorial.py new file mode 100755 index 0000000..cb2691b --- /dev/null +++ b/scripts/tools/extract_task_from_tutorial.py @@ -0,0 +1,271 @@ +#!/usr/bin/env python3 +# -*- coding: utf-8 -*- +""" +从教程信息快速生成任务定义 +用法: + python scripts/tools/extract_task_from_tutorial.py +""" + +import json +import os +import sys +from pathlib import Path + +# 添加项目根目录到路径 +project_root = Path(__file__).parent.parent.parent +sys.path.insert(0, str(project_root)) + +from scripts.tools.init_task import init_task + + +# 任务类别和难度映射 +CATEGORY_MAP = { + "1": "basic_processing", + "2": "peak_analysis", + "3": "phase_identification", + "4": "crystal_parameters", + "5": "calibration", + "6": "advanced_analysis", +} + +DIFFICULTY_MAP = { + "1": "easy", + "2": "medium", + "3": "hard", +} + +# 常见任务模板 +TASK_TEMPLATES = { + "basic_processing": { + "open_file": "请打开桌面上的 {filename} 文件。", + "smooth": "请打开桌面上的 {filename} 文件，进行平滑处理 (Smoothing)，然后将处理后的曲线导出为 ASCII (.txt) 文件并命名为 {output}。", + "background": "请打开桌面上的 {filename} 文件，进行背景扣除 (Background Removal)，然后将处理后的曲线导出为 ASCII (.txt) 文件并命名为 {output}。", + "export": "请打开桌面上的 {filename} 文件，将当前曲线导出为 ASCII (.txt) 文件并命名为 {output}。", + }, + "peak_analysis": { + "peak_search": "请打开桌面上的 {filename} 文件，进行寻峰操作 (Peak Search)，并导出寻峰结果文件 {output}。", + "peak_separation": "请打开桌面上的 {filename} 文件，进行多峰分离操作 (Peak Separation)，并导出结果文件 {output}。", + "peak_fitting": "请打开桌面上的 {filename} 文件，进行峰形拟合 (Peak Fitting)，并导出结果文件 {output}。", + }, + "phase_identification": { + "phase_search": "请打开桌面上的 {filename} 文件，进行物相检索 (Phase Search)，并导出检索结果文件 {output}。", + "quantitative": "请打开桌面上的 {filename} 文件，进行物相定量分析 (Quantitative Analysis)，并导出结果文件 {output}。", + }, + "crystal_parameters": { + "lattice_constant": "请打开桌面上的 {filename} 文件，精确测定晶格常数 (Lattice Constant)，并导出结果文件 {output}。", + "crystal_size": "请打开桌面上的 {filename} 文件，使用Scherrer公式计算晶粒大小 (Crystal Size)，并导出结果文件 {output}。", + "stress": "请打开桌面上的 {filename} 文件，进行残余应力分析 (Stress Analysis)，并导出结果文件 {output}。", + "crystallinity": "请打开桌面上的 {filename} 文件，计算结晶化度 (Crystallinity)，并导出结果文件 {output}。", + }, +} + + +def print_category_menu(): + """打印类别菜单""" + print("\n📚 任务类别:") + print(" 1. basic_processing (基础处理)") + print(" 2. peak_analysis (峰分析)") + print(" 3. phase_identification (物相检索)") + print(" 4. crystal_parameters (晶体参数)") + print(" 5. calibration (校正)") + print(" 6. advanced_analysis (高级分析)") + + +def print_difficulty_menu(): + """打印难度菜单""" + print("\n📊 难度等级:") + print(" 1. easy (简单，3-5步操作)") + print(" 2. medium (中等，5-10步操作)") + print(" 3. hard (困难，10+步操作)") + + +def get_user_input(): + """交互式获取用户输入""" + print("=" * 60) + print("🎯 从教程提取任务 - 快速生成工具") + print("=" * 60) + + # 任务ID + task_id = input("\n📝 任务ID (例如: peak_search_001): ").strip() + if not task_id: + print("❌ 任务ID不能为空") + return None + + # 类别 + print_category_menu() + category_choice = input("\n选择类别 (1-6): ").strip() + category = CATEGORY_MAP.get(category_choice) + if not category: + print("❌ 无效的类别选择") + return None + + # 难度 + print_difficulty_menu() + difficulty_choice = input("\n选择难度 (1-3): ").strip() + difficulty = DIFFICULTY_MAP.get(difficulty_choice) + if not difficulty: + print("❌ 无效的难度选择") + return None + + # 输入文件 + print("\n📁 输入文件配置:") + source_file = input(" 源文件路径 (相对于data/source/, 例如: DEMO01.MDI): ").strip() + if not source_file: + source_file = "DEMO01.MDI" + + # 输出文件 + print("\n📤 输出文件配置:") + output_filename = input(" 输出文件名 (例如: result.txt): ").strip() + if not output_filename: + output_filename = "result.txt" + + # 任务类型（如果类别有模板） + task_type = None + if category in TASK_TEMPLATES: + templates = TASK_TEMPLATES[category] + print(f"\n📋 可用任务模板 ({category}):") + for i, (key, template) in enumerate(templates.items(), 1): + print(f" {i}. {key}") + + use_template = input("\n使用模板? (y/n, 默认n): ").strip().lower() + if use_template == 'y': + template_choice = input(f"选择模板 (1-{len(templates)}): ").strip() + try: + template_key = list(templates.keys())[int(template_choice) - 1] + task_type = template_key + except (ValueError, IndexError): + print("⚠️ 无效的模板选择，将使用自定义指令") + + # 指令 + if task_type and category in TASK_TEMPLATES: + # 使用模板 + template = TASK_TEMPLATES[category][task_type] + instruction = template.format( + filename=os.path.basename(source_file), + output=output_filename + ) + print(f"\n✅ 生成的指令 (模板): {instruction}") + confirm = input("使用此指令? (y/n, 默认y): ").strip().lower() + if confirm == 'n': + instruction = input("\n📝 自定义指令: ").strip() + else: + # 自定义指令 + instruction = input("\n📝 任务指令 (中文描述): ").strip() + + if not instruction: + print("❌ 指令不能为空") + return None + + # 教程来源（可选） + tutorial_source = input("\n📚 教程来源 (可选，例如: 教程(1)): ").strip() + + return { + "task_id": task_id, + "category": category, + "difficulty": difficulty, + "instruction": instruction, + "source_file": source_file, + "output_filename": output_filename, + "tutorial_source": tutorial_source, + } + + +def create_task_from_info(info): + """根据信息创建任务""" + task_id = info["task_id"] + category = info["category"] + difficulty = info["difficulty"] + instruction = info["instruction"] + + # 构建源文件路径 + source_file = info["source_file"] + if not os.path.isabs(source_file): + # 相对路径，假设在 data/source/ 下 + source_file = f"../../data/source/{source_file}" + + # 构建VM路径 + filename = os.path.basename(source_file) + inject_to = f"C:\\Users\\lzy\\Desktop\\{filename}" + + # 输出文件路径 + output_filename = info["output_filename"] + collect_from = f"C:\\Users\\lzy\\Desktop\\{output_filename}" + + print(f"\n🚀 正在创建任务: {task_id}") + print(f" 类别: {category}") + print(f" 难度: {difficulty}") + print(f" 源文件: {source_file}") + print(f" 输出文件: {output_filename}") + + # 调用 init_task + try: + init_task( + task_id=task_id, + category=category, + difficulty=difficulty, + instruction=instruction, + project_root=str(project_root) + ) + + # 更新 task.json + task_json_path = project_root / "tasks" / task_id / "task.json" + if task_json_path.exists(): + with open(task_json_path, 'r', encoding='utf-8') as f: + task_config = json.load(f) + + # 更新输入输出配置 + task_config["input"] = { + "source_file": source_file, + "inject_to": inject_to + } + task_config["output"] = { + "expected_file": output_filename, + "collect_from": collect_from + } + + # 添加教程来源（如果有） + if info.get("tutorial_source"): + task_config["tutorial_source"] = info["tutorial_source"] + + # 保存 + with open(task_json_path, 'w', encoding='utf-8') as f: + json.dump(task_config, f, ensure_ascii=False, indent=2) + + print(f"\n✅ 任务创建成功!") + print(f" 任务目录: tasks/{task_id}/") + print(f" 配置文件: tasks/{task_id}/task.json") + print(f"\n📝 下一步:") + print(f" 1. 检查并完善 task.json") + print(f" 2. 运行: python scripts/tools/collect_task.py {task_id} --mode full") + + return True + else: + print(f"❌ 任务目录创建失败: {task_json_path}") + return False + + except Exception as e: + print(f"❌ 创建任务时出错: {e}") + import traceback + traceback.print_exc() + return False + + +def main(): + """主函数""" + try: + info = get_user_input() + if info: + create_task_from_info(info) + else: + print("\n❌ 任务创建取消") + except KeyboardInterrupt: + print("\n\n⚠️ 用户取消操作") + except Exception as e: + print(f"\n❌ 发生错误: {e}") + import traceback + traceback.print_exc() + + +if __name__ == "__main__": + main() + diff --git a/scripts/tools/init_task.py b/scripts/tools/init_task.py new file mode 100644 index 0000000..7a3e18d --- /dev/null +++ b/scripts/tools/init_task.py @@ -0,0 +1,178 @@ +""" +任务初始化工具 +快速创建新任务的目录结构和配置文件模板 +""" +import os +import json +import sys +import argparse + + +TASK_JSON_TEMPLATE = { + "id": "", + "category": "basic_processing", # basic_processing, peak_analysis, phase_identification, compound_tasks + "difficulty": "easy", # easy, medium, hard + + "instruction": "请填写任务指令", + + "input": { + "source_file": "../../data/source/DEMO01.MDI", + "inject_to": "C:\\Users\\lzy\\Desktop\\DEMO01.MDI" + }, + + "output": { + "expected_file": "result.txt", + "collect_from": "C:\\Users\\lzy\\Desktop\\result.txt" + }, + + "evaluation": { + "method": "xrd_data_compare", + "ground_truth": "ground_truth/result.txt", + "target_output": "agent_output/result.txt", + "tolerance": 1e-4 + } +} + + +def init_task(task_id, project_root=".", force=False, category=None, difficulty=None, instruction=None): + """ + 初始化新任务 + + Args: + task_id: 任务ID + project_root: 项目根目录 + force: 是否覆盖已存在的任务 + category: 任务类别（可选） + difficulty: 任务难度（可选） + instruction: 任务指令（可选） + """ + task_dir = os.path.join(project_root, "tasks", task_id) + + # 检查是否已存在 + if os.path.exists(task_dir) and not force: + print(f"❌ 任务目录已存在: {task_dir}") + print(" 使用 --force 参数强制覆盖") + return False + + print(f"创建任务: {task_id}") + print("=" * 60) + + # 创建目录结构 + directories = [ + task_dir, + os.path.join(task_dir, "ground_truth"), + os.path.join(task_dir, "human_demo"), + os.path.join(task_dir, "human_demo", "screens"), + os.path.join(task_dir, "agent_output") + ] + + for directory in directories: + os.makedirs(directory, exist_ok=True) + print(f"✅ 创建目录: {os.path.relpath(directory, project_root)}") + + # 创建task.json + task_config = TASK_JSON_TEMPLATE.copy() + task_config["id"] = task_id + + # 更新可选参数 + if category: + task_config["category"] = category + if difficulty: + task_config["difficulty"] = difficulty + if instruction: + task_config["instruction"] = instruction + + task_json_path = os.path.join(task_dir, "task.json") + with open(task_json_path, 'w', encoding='utf-8') as f: + json.dump(task_config, f, indent=2, ensure_ascii=False) + + print(f"✅ 创建配置: {os.path.relpath(task_json_path, project_root)}") + + # 创建README + readme_content = f"""# 任务: {task_id} + +## 任务信息 +- **ID**: {task_id} +- **类别**: {task_config['category']} +- **难度**: {task_config['difficulty']} + +## 指令 +{task_config['instruction']} + +## 数据采集状态 +- [ ] 环境重置与文件注入 +- [ ] 操作轨迹录制 +- [ ] 结果文件收集 +- [ ] 坐标转换处理 +- [ ] 评测验证 + +## 采集命令 +```bash +# 完整流程 +python scripts/collect_task.py {task_id} --mode full + +# 分步执行 +python scripts/collect_task.py {task_id} --mode reset +python scripts/collect_task.py {task_id} --mode record +python scripts/collect_task.py {task_id} --mode collect +python scripts/process_trajectory.py {task_id} +python scripts/run_eval.py {task_id} +``` + +## 文件结构 +``` +{task_id}/ +├── task.json # 任务配置 +├── ground_truth/ # 标准答案输出 +├── human_demo/ # 人类操作轨迹 +│ ├── actions_raw.json # 原始轨迹（未转换坐标） +│ ├── actions.json # 处理后轨迹（已转换坐标） +│ └── screens/ # 截图序列 +└── agent_output/ # Agent输出（评测时使用） +``` +""" + + readme_path = os.path.join(task_dir, "README.md") + with open(readme_path, 'w', encoding='utf-8') as f: + f.write(readme_content) + + print(f"✅ 创建说明: {os.path.relpath(readme_path, project_root)}") + + print("=" * 60) + print("✅ 任务初始化完成！") + print("\n📝 下一步:") + print(f" 1. 编辑任务配置: {task_json_path}") + print(f" 2. 确保输入文件存在:例如 {task_config['input']['source_file']}") + print(f" 3. 开始数据采集: python scripts/tools/collect_task.py {task_id}") + print("=" * 60 + "\n") + + return True + + +def main(): + parser = argparse.ArgumentParser( + description="初始化新任务", + formatter_class=argparse.RawDescriptionHelpFormatter, + epilog=""" +使用示例: + # 创建新任务 + python scripts/init_task.py smoothing_001 + + # 强制覆盖已存在的任务 + python scripts/init_task.py smoothing_001 --force + """ + ) + + parser.add_argument("task_id", help="任务ID（建议格式: category_序号）") + parser.add_argument("--project-root", default=".", help="项目根目录") + parser.add_argument("--force", action="store_true", help="强制覆盖已存在的任务") + + args = parser.parse_args() + + success = init_task(args.task_id, args.project_root, args.force) + sys.exit(0 if success else 1) + + +if __name__ == "__main__": + main() + diff --git a/scripts/tools/process_trajectory.py b/scripts/tools/process_trajectory.py new file mode 100644 index 0000000..c95e70b --- /dev/null +++ b/scripts/tools/process_trajectory.py @@ -0,0 +1,165 @@ +""" +轨迹数据后处理 +将录制的原始Host坐标转换为VM内坐标 +""" +import json +import os +import sys +import argparse +import logging + +logging.basicConfig(level=logging.INFO) +logger = logging.getLogger(__name__) + + +def process_trajectory(task_id, project_root=".", force=False, + scale_x_adjust=1.0, scale_y_adjust=1.0, + offset_x=0, offset_y=0): + """ + 处理轨迹数据：将Host坐标转换为VM坐标 + + Args: + task_id: 任务ID + project_root: 项目根目录 + force: 是否强制覆盖已有的处理结果 + scale_x_adjust: X轴缩放调整系数 + scale_y_adjust: Y轴缩放调整系数 + offset_x: X轴偏移调整 + offset_y: Y轴偏移调整 + """ + # 路径 + task_dir = os.path.join(project_root, "tasks", task_id) + human_demo_dir = os.path.join(task_dir, "human_demo") + raw_path = os.path.join(human_demo_dir, "actions_raw.json") + processed_path = os.path.join(human_demo_dir, "actions.json") + + # 检查文件 + if not os.path.exists(raw_path): + logger.error(f"❌ 原始轨迹文件不存在: {raw_path}") + logger.info(" 请先运行: python scripts/collect_task.py --mode record") + return False + + if os.path.exists(processed_path) and not force: + logger.warning(f"⚠️ 处理后的文件已存在: {processed_path}") + logger.info(" 使用 --force 参数强制覆盖") + return False + + # 读取原始数据 + logger.info(f"读取原始轨迹: {raw_path}") + with open(raw_path, 'r', encoding='utf-8') as f: + data = json.load(f) + + metadata = data['metadata'] + actions = data['actions'] + + logger.info(f"任务ID: {metadata['task_id']}") + logger.info(f"动作数: {len(actions)}") + + # 获取分辨率信息 + if 'vm_resolution' in metadata and 'vm_screenshot_resolution' in metadata: + vm_w, vm_h = metadata['vm_resolution'] + screenshot_w, screenshot_h = metadata['vm_screenshot_resolution'] + + # 计算缩放比例 + # 注意：Host端的点击坐标对应截图坐标，需要转换为VM内实际坐标 + scale_x = (vm_w / screenshot_w) * scale_x_adjust + scale_y = (vm_h / screenshot_h) * scale_y_adjust + + logger.info(f"VM分辨率: {vm_w}x{vm_h}") + logger.info(f"截图分辨率: {screenshot_w}x{screenshot_h}") + logger.info(f"转换比例: X={scale_x:.3f}, Y={scale_y:.3f}") + + if scale_x_adjust != 1.0 or scale_y_adjust != 1.0: + logger.info(f"应用调整系数: X={scale_x_adjust}, Y={scale_y_adjust}") + if offset_x != 0 or offset_y != 0: + logger.info(f"应用偏移调整: X={offset_x}, Y={offset_y}") + else: + logger.warning("⚠️ 元数据缺少分辨率信息，使用默认比例1.0") + scale_x = 1.0 * scale_x_adjust + scale_y = 1.0 * scale_y_adjust + + # 转换坐标 + converted_count = 0 + for action in actions: + if 'pos_host' in action and action['pos_host']: + host_x, host_y = action['pos_host'] + + # 应用转换 + vm_x = int(host_x * scale_x + offset_x) + vm_y = int(host_y * scale_y + offset_y) + + action['pos_vm'] = [vm_x, vm_y] + converted_count += 1 + + logger.info(f"✅ 坐标转换完成: {converted_count}/{len(actions)} 个动作") + + # 添加处理信息到元数据 + metadata['processed'] = { + "processed_at": __import__('datetime').datetime.now().isoformat(), + "scale_x": scale_x, + "scale_y": scale_y, + "offset_x": offset_x, + "offset_y": offset_y, + "converted_actions": converted_count + } + + # 保存处理后的数据 + logger.info(f"保存处理后的轨迹: {processed_path}") + with open(processed_path, 'w', encoding='utf-8') as f: + json.dump(data, f, indent=2, ensure_ascii=False) + + logger.info("✅ 处理完成！") + + # 输出示例 + print("\n" + "=" * 60) + print("📊 坐标转换示例（前5个点击）:") + print("-" * 60) + + click_count = 0 + for action in actions: + if action['type'] == 'click' and 'pos_host' in action: + host_x, host_y = action['pos_host'] + vm_x, vm_y = action['pos_vm'] if action['pos_vm'] else (0, 0) + # 转换为整数显示 + print(f" Host({int(host_x):4d}, {int(host_y):4d}) → VM({int(vm_x):4d}, {int(vm_y):4d})") + + click_count += 1 + if click_count >= 5: + break + + print("=" * 60) + print("\n💡 下一步：可视化验证（可选）") + print(f" python scripts/visualize_trajectory.py {task_id}") + print("=" * 60 + "\n") + + return True + + +def main(): + parser = argparse.ArgumentParser(description="处理轨迹数据，转换坐标") + parser.add_argument("task_id", help="任务ID") + parser.add_argument("--project-root", default=".", help="项目根目录") + parser.add_argument("--force", action="store_true", help="强制覆盖已有文件") + parser.add_argument("--scale-x", type=float, default=1.0, help="X轴缩放调整系数") + parser.add_argument("--scale-y", type=float, default=1.0, help="Y轴缩放调整系数") + parser.add_argument("--offset-x", type=int, default=0, help="X轴偏移调整") + parser.add_argument("--offset-y", type=int, default=0, help="Y轴偏移调整") + + args = parser.parse_args() + + success = process_trajectory( + task_id=args.task_id, + project_root=args.project_root, + force=args.force, + scale_x_adjust=args.scale_x, + scale_y_adjust=args.scale_y, + offset_x=args.offset_x, + offset_y=args.offset_y + ) + + sys.exit(0 if success else 1) + + +if __name__ == "__main__": + main() + diff --git a/scripts/tools/run_eval.py b/scripts/tools/run_eval.py new file mode 100644 index 0000000..58a58ff --- /dev/null +++ b/scripts/tools/run_eval.py @@ -0,0 +1,261 @@ +""" +评测入口脚本 +支持单任务或批量评测 +""" +import os +import sys +import json +import argparse +import logging +from datetime import datetime + +# 添加父目录到路径 +sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__)))) + +from core.evaluator import evaluate + +logging.basicConfig(level=logging.INFO, format='%(levelname)s: %(message)s') +logger = logging.getLogger(__name__) + + +def evaluate_task(task_id, project_root=".", verbose=True): + """ + 评测单个任务 + + Args: + task_id: 任务ID + project_root: 项目根目录 + verbose: 是否详细输出 + + Returns: + tuple: (score, message, details) + """ + task_dir = os.path.join(project_root, "tasks", task_id) + task_json_path = os.path.join(task_dir, "task.json") + + # 检查任务配置 + if not os.path.exists(task_json_path): + logger.error(f"❌ 任务配置不存在: {task_json_path}") + return 0, "任务配置不存在", {} + + # 加载任务配置 + with open(task_json_path, 'r', encoding='utf-8') as f: + task_config = json.load(f) + + if verbose: + print("\n" + "=" * 60) + print(f"📝 评测任务: {task_id}") + print("=" * 60) + print(f"类别: {task_config.get('category', 'N/A')}") + print(f"难度: {task_config.get('difficulty', 'N/A')}") + print(f"指令: {task_config.get('instruction', 'N/A')}") + print("=" * 60) + + # 获取评测配置 + eval_config = task_config.get('evaluation', {}) + method = eval_config.get('method', 'xrd_data_compare') + + # 构建文件路径 + gt_path = os.path.join(task_dir, eval_config.get('ground_truth', '')) + agent_path = os.path.join(task_dir, eval_config.get('target_output', '')) + tolerance = eval_config.get('tolerance', 1e-4) + + # 检查文件 + if not os.path.exists(gt_path): + logger.error(f"❌ Ground truth文件不存在: {gt_path}") + return 0, "Ground truth文件不存在", {} + + if not os.path.exists(agent_path): + logger.error(f"❌ Agent输出文件不存在: {agent_path}") + return 0, "Agent输出文件不存在", {} + + # 执行评测 + try: + if method == 'xrd_data_compare': + score, message = evaluate(gt_path, agent_path, tolerance, mode="xrd_data") + elif method == 'peak_report_compare': + score, message = evaluate(gt_path, agent_path, tolerance, mode="peak_report") + else: + logger.warning(f"⚠️ 未知的评测方法: {method}") + score, message = 0, f"未知的评测方法: {method}" + + details = { + "task_id": task_id, + "method": method, + "ground_truth": gt_path, + "agent_output": agent_path, + "tolerance": tolerance, + "timestamp": datetime.now().isoformat() + } + + if verbose: + print(f"\n📊 评测结果:") + print(f" Score: {score}") + print(f" {message}") + print("=" * 60 + "\n") + + return score, message, details + + except Exception as e: + logger.error(f"❌ 评测失败: {e}") + import traceback + traceback.print_exc() + return 0, f"评测失败: {str(e)}", {} + + +def evaluate_batch(task_ids, project_root=".", output_file=None): + """ + 批量评测多个任务 + + Args: + task_ids: 任务ID列表 + project_root: 项目根目录 + output_file: 结果输出文件（JSON格式） + """ + print("\n" + "=" * 60) + print("📊 批量评测") + print("=" * 60) + print(f"任务数: {len(task_ids)}") + print("=" * 60 + "\n") + + results = [] + total_score = 0 + + for i, task_id in enumerate(task_ids, 1): + print(f"\n[{i}/{len(task_ids)}] 评测: {task_id}") + score, message, details = evaluate_task(task_id, project_root, verbose=False) + + result = { + "task_id": task_id, + "score": score, + "message": message, + **details + } + results.append(result) + total_score += score + + status = "✅ 通过" if score == 1 else "❌ 失败" + print(f" {status}: {message}") + + # 统计 + pass_count = sum(1 for r in results if r['score'] == 1) + pass_rate = pass_count / len(task_ids) * 100 if task_ids else 0 + + print("\n" + "=" * 60) + print("📈 评测统计") + print("=" * 60) + print(f"总任务数: {len(task_ids)}") + print(f"通过数: {pass_count}") + print(f"失败数: {len(task_ids) - pass_count}") + print(f"通过率: {pass_rate:.1f}%") + print(f"平均分: {total_score / len(task_ids):.2f}") + print("=" * 60 + "\n") + + # 保存结果 + if output_file: + output_data = { + "timestamp": datetime.now().isoformat(), + "total_tasks": len(task_ids), + "pass_count": pass_count, + "pass_rate": pass_rate, + "results": results + } + + with open(output_file, 'w', encoding='utf-8') as f: + json.dump(output_data, f, indent=2, ensure_ascii=False) + + print(f"📄 详细结果已保存到: {output_file}\n") + + return results + + +def discover_tasks(project_root="."): + """ + 自动发现所有任务 + + Returns: + list: 任务ID列表 + """ + tasks_dir = os.path.join(project_root, "tasks") + + if not os.path.exists(tasks_dir): + return [] + + task_ids = [] + for item in os.listdir(tasks_dir): + task_dir = os.path.join(tasks_dir, item) + task_json = os.path.join(task_dir, "task.json") + + if os.path.isdir(task_dir) and os.path.exists(task_json): + task_ids.append(item) + + return sorted(task_ids) + + +def main(): + parser = argparse.ArgumentParser( + description="JADE Benchmark 评测工具", + formatter_class=argparse.RawDescriptionHelpFormatter, + epilog=""" +使用示例: + # 评测单个任务 + python scripts/run_eval.py smoothing_001 + + # 评测多个任务 + python scripts/run_eval.py smoothing_001 peak_search_001 + + # 评测所有任务 + python scripts/run_eval.py --all + + # 保存结果到文件 + python scripts/run_eval.py --all --output results.json + """ + ) + + parser.add_argument("task_ids", nargs="*", help="任务ID列表") + parser.add_argument("--all", action="store_true", help="评测所有任务") + parser.add_argument("--project-root", default=".", help="项目根目录") + parser.add_argument("--output", help="结果输出文件（JSON格式）") + + args = parser.parse_args() + + # 确定要评测的任务 + if args.all: + task_ids = discover_tasks(args.project_root) + if not task_ids: + logger.error("❌ 未找到任何任务") + sys.exit(1) + logger.info(f"发现 {len(task_ids)} 个任务") + elif args.task_ids: + task_ids = args.task_ids + else: + parser.print_help() + sys.exit(1) + + # 执行评测 + try: + if len(task_ids) == 1: + # 单任务评测 + score, message, _ = evaluate_task(task_ids[0], args.project_root) + sys.exit(0 if score == 1 else 1) + else: + # 批量评测 + results = evaluate_batch(task_ids, args.project_root, args.output) + + # 返回码：全部通过返回0，否则返回1 + all_pass = all(r['score'] == 1 for r in results) + sys.exit(0 if all_pass else 1) + + except KeyboardInterrupt: + print("\n\n⏹ 评测已取消") + sys.exit(1) + except Exception as e: + logger.error(f"❌ 错误: {e}") + import traceback + traceback.print_exc() + sys.exit(1) + + +if __name__ == "__main__": + main() + diff --git a/scripts/utils/__init__.py b/scripts/utils/__init__.py new file mode 100644 index 0000000..39ee4ff --- /dev/null +++ b/scripts/utils/__init__.py @@ -0,0 +1,12 @@ +""" +JADE Benchmark 辅助工具 +配置加载、文件处理等辅助功能 +""" +from .config_loader import load_config, get_vm_config, get_network_config + +__all__ = [ + 'load_config', + 'get_vm_config', + 'get_network_config' +] + diff --git a/scripts/utils/config_loader.py b/scripts/utils/config_loader.py new file mode 100644 index 0000000..f474532 --- /dev/null +++ b/scripts/utils/config_loader.py @@ -0,0 +1,51 @@ +""" +配置文件加载器 +""" +import json +import os + + +def load_config(config_path=None): + """ + 加载配置文件 + + Args: + config_path: 配置文件路径（默认在项目根目录的config.json） + + Returns: + dict: 配置字典 + """ + if config_path is None: + # 查找项目根目录的config.json + current_dir = os.path.dirname(os.path.abspath(__file__)) + scripts_dir = os.path.dirname(current_dir) # scripts/ + project_root = os.path.dirname(scripts_dir) # Jade-BenchMark-MVP/ + config_path = os.path.join(project_root, "config.json") + + if not os.path.exists(config_path): + raise FileNotFoundError(f"配置文件不存在: {config_path}") + + with open(config_path, 'r', encoding='utf-8') as f: + return json.load(f) + + +def get_vm_config(config=None): + """获取VM配置""" + if config is None: + config = load_config() + return config.get('vmware', {}) + + +def get_network_config(config=None): + """获取网络配置""" + if config is None: + config = load_config() + return config.get('network', {}) + + +if __name__ == "__main__": + # 测试配置加载 + config = load_config() + print("配置加载成功:") + print(json.dumps(config, indent=2, ensure_ascii=False)) + diff --git a/tasks/background_001/agent_output/background_result.txt b/tasks/background_001/agent_output/background_result.txt new file mode 100755 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904.1015625 + ], + "pos_vm": [ + 2428, + 1502 + ], + "screenshot": "screens/0012_click.png" + } + ] +} \ No newline at end of file diff --git a/tasks/background_001/human_demo/screens/0001_initial.png b/tasks/background_001/human_demo/screens/0001_initial.png new file mode 100644 index 0000000..8604de0 Binary files /dev/null and b/tasks/background_001/human_demo/screens/0001_initial.png differ diff --git a/tasks/background_001/human_demo/screens/0002_click.png b/tasks/background_001/human_demo/screens/0002_click.png new file mode 100644 index 0000000..551d6e8 Binary files /dev/null and b/tasks/background_001/human_demo/screens/0002_click.png differ diff --git a/tasks/background_001/human_demo/screens/0003_click.png b/tasks/background_001/human_demo/screens/0003_click.png new file mode 100644 index 0000000..e51579a Binary files /dev/null and b/tasks/background_001/human_demo/screens/0003_click.png differ diff --git a/tasks/background_001/human_demo/screens/0004_click.png 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a/tasks/background_001/human_demo/screens/0008_click.png b/tasks/background_001/human_demo/screens/0008_click.png new file mode 100644 index 0000000..968e373 Binary files /dev/null and b/tasks/background_001/human_demo/screens/0008_click.png differ diff --git a/tasks/background_001/human_demo/screens/0009_click.png b/tasks/background_001/human_demo/screens/0009_click.png new file mode 100644 index 0000000..f8a4941 Binary files /dev/null and b/tasks/background_001/human_demo/screens/0009_click.png differ diff --git a/tasks/background_001/human_demo/screens/0010_click.png b/tasks/background_001/human_demo/screens/0010_click.png new file mode 100644 index 0000000..a1b46df Binary files /dev/null and b/tasks/background_001/human_demo/screens/0010_click.png differ diff --git a/tasks/background_001/human_demo/screens/0011_click.png b/tasks/background_001/human_demo/screens/0011_click.png new file mode 100644 index 0000000..b4f08ab Binary files /dev/null and b/tasks/background_001/human_demo/screens/0011_click.png differ diff --git a/tasks/background_001/human_demo/screens/0012_click.png b/tasks/background_001/human_demo/screens/0012_click.png new file mode 100644 index 0000000..12b5f55 Binary files /dev/null and b/tasks/background_001/human_demo/screens/0012_click.png differ diff --git a/tasks/background_001/human_demo/screens/0013_final.png b/tasks/background_001/human_demo/screens/0013_final.png new file mode 100644 index 0000000..12b5f55 Binary files /dev/null and b/tasks/background_001/human_demo/screens/0013_final.png differ diff --git a/tasks/background_001/task.json b/tasks/background_001/task.json new file mode 100644 index 0000000..db64e04 --- /dev/null +++ b/tasks/background_001/task.json @@ -0,0 +1,22 @@ +{ + "id": "background_001", + "category": "basic_processing", + "difficulty": "easy", + "instruction": "请打开桌面上的 DEMO01.MDI 文件，进行背景扣除 (Background Removal)，使用自动背景扣除方法，然后将处理后的曲线导出为 ASCII (.txt) 文件并命名为 background_result.txt。", + "input": { + "source_file": "../../data/source/DEMO01.MDI", + "inject_to": "C:\\Users\\lzy\\Desktop\\DEMO01.MDI" + }, + "output": { + "expected_file": "background_result.txt", + "collect_from": "C:\\Users\\lzy\\Desktop\\background_result.txt" + }, + "evaluation": { + "method": "xrd_data_compare", + "ground_truth": "ground_truth/background_result.txt", + "target_output": "agent_output/background_result.txt", + "tolerance": 0.0001 + }, + "tutorial_source": "教程(1) + 基础处理知识", + "notes": "使用自动背景扣除方法（固定参数）" +} \ No newline at end of file diff --git a/tasks/batch_definitions/basic_processing_tasks.json b/tasks/batch_definitions/basic_processing_tasks.json new file mode 100644 index 0000000..6c13e5f --- /dev/null +++ b/tasks/batch_definitions/basic_processing_tasks.json @@ -0,0 +1,70 @@ +{ + "description": "基础处理类别任务定义 - 根据教程(1)提取，使用固定参数", + "category": "basic_processing", + "tutorial_source": "Jade使用教程（1）打开文件 寻峰.pdf", + "parameter_strategy": "fixed_parameters", + "tasks": [ + { + "id": "open_file_001", + "category": "basic_processing", + "difficulty": "easy", + "instruction": "请打开桌面上的 DEMO01.MDI 文件。", + "source_file": "DEMO01.MDI", + "output_filename": "open_file_result.txt", + "tutorial_source": "教程(1) - 打开文件部分", + "notes": "打开文件后导出为ASCII文件用于评测", + "evaluation_method": "xrd_data_compare", + "skip_if_exists": false, + "parameters": { + "note": "无参数，仅打开文件并导出" + } + }, + { + "id": "smooth_001", + "category": "basic_processing", + "difficulty": "easy", + "instruction": "请打开桌面上的 DEMO01.MDI 文件，进行平滑处理 (Smoothing)，平滑点数设置为 5，然后将处理后的曲线导出为 ASCII (.txt) 文件并命名为 result.txt。", + "source_file": "DEMO01.MDI", + "output_filename": "result.txt", + "tutorial_source": "教程(1) + 基础处理", + "notes": "重新采集，固定平滑点数=5", + "evaluation_method": "xrd_data_compare", + "skip_if_exists": false, + "parameters": { + "smooth_points": 5, + "note": "固定参数：平滑点数=5" + } + }, + { + "id": "background_001", + "category": "basic_processing", + "difficulty": "easy", + "instruction": "请打开桌面上的 DEMO01.MDI 文件，进行背景扣除 (Background Removal)，使用自动背景扣除方法，然后将处理后的曲线导出为 ASCII (.txt) 文件并命名为 background_result.txt。", + "source_file": "DEMO01.MDI", + "output_filename": "background_result.txt", + "tutorial_source": "教程(1) + 基础处理知识", + "notes": "使用自动背景扣除方法（固定参数）", + "evaluation_method": "xrd_data_compare", + "skip_if_exists": false, + "parameters": { + "background_method": "auto", + "note": "固定参数：自动背景扣除" + } + }, + { + "id": "export_001", + "category": "basic_processing", + "difficulty": "easy", + "instruction": "请打开桌面上的 DEMO01.MDI 文件，将当前曲线导出为 ASCII (.txt) 文件并命名为 export_result.txt。", + "source_file": "DEMO01.MDI", + "output_filename": "export_result.txt", + "tutorial_source": "教程(1) - 导出数据部分", + "notes": "基础导出操作，不进行任何处理", + "evaluation_method": "xrd_data_compare", + "skip_if_exists": false, + "parameters": { + "note": "无参数，仅导出原始数据" + } + } + ] +} diff --git a/tasks/open_file_001/agent_output/open_file_result.txt b/tasks/open_file_001/agent_output/open_file_result.txt new file mode 100644 index 0000000..8db2e43 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files /dev/null and b/tasks/open_file_001/human_demo/screens/0002_click.png differ diff --git a/tasks/open_file_001/human_demo/screens/0003_click.png b/tasks/open_file_001/human_demo/screens/0003_click.png new file mode 100644 index 0000000..7f8bf4f Binary files /dev/null and b/tasks/open_file_001/human_demo/screens/0003_click.png differ diff --git a/tasks/open_file_001/human_demo/screens/0004_click.png b/tasks/open_file_001/human_demo/screens/0004_click.png new file mode 100644 index 0000000..84dc351 Binary files /dev/null and b/tasks/open_file_001/human_demo/screens/0004_click.png differ diff --git a/tasks/open_file_001/human_demo/screens/0005_click.png b/tasks/open_file_001/human_demo/screens/0005_click.png new file mode 100644 index 0000000..f1ae337 Binary files /dev/null and b/tasks/open_file_001/human_demo/screens/0005_click.png differ diff --git a/tasks/open_file_001/human_demo/screens/0006_click.png b/tasks/open_file_001/human_demo/screens/0006_click.png new file mode 100644 index 0000000..29c3691 Binary files /dev/null and b/tasks/open_file_001/human_demo/screens/0006_click.png differ diff --git a/tasks/open_file_001/human_demo/screens/0007_click.png b/tasks/open_file_001/human_demo/screens/0007_click.png new file mode 100644 index 0000000..85fdfa4 Binary files /dev/null and b/tasks/open_file_001/human_demo/screens/0007_click.png differ diff --git a/tasks/open_file_001/human_demo/screens/0008_final.png b/tasks/open_file_001/human_demo/screens/0008_final.png new file mode 100644 index 0000000..adece8e Binary files /dev/null and b/tasks/open_file_001/human_demo/screens/0008_final.png differ diff --git a/tasks/open_file_001/task.json b/tasks/open_file_001/task.json new file mode 100644 index 0000000..f7db923 --- /dev/null +++ b/tasks/open_file_001/task.json @@ -0,0 +1,22 @@ +{ + "id": "open_file_001", + "category": "basic_processing", + "difficulty": "easy", + "instruction": "请打开桌面上的 DEMO01.MDI 文件，然后将当前曲线导出为 ASCII (.txt) 文件并命名为 open_file_result.txt。", + "input": { + "source_file": "../../data/source/DEMO01.MDI", + "inject_to": "C:\\Users\\lzy\\Desktop\\DEMO01.MDI" + }, + "output": { + "expected_file": "open_file_result.txt", + "collect_from": "C:\\Users\\lzy\\Desktop\\open_file_result.txt" + }, + "evaluation": { + "method": "xrd_data_compare", + "ground_truth": "ground_truth/open_file_result.txt", + "target_output": "agent_output/open_file_result.txt", + "tolerance": 0.0001 + }, + "tutorial_source": "教程(1) - 打开文件部分", + "notes": "打开文件后导出为ASCII文件用于评测" +} \ No newline at end of file diff --git a/tasks/peak_search_001/agent_output/peak_result.pid b/tasks/peak_search_001/agent_output/peak_result.pid new file mode 100755 index 0000000..bdbe0ff --- /dev/null +++ b/tasks/peak_search_001/agent_output/peak_result.pid @@ -0,0 +1,81 @@ +USER: lzy +JADE: Peak Search Report (72 Peaks, Max P/N = 19.3) +DATE: Friday, Jan 09, 2026 06:13p +FILE: [DEMO01.MDI] Demo01: 37-1497 4-733 9-169 18-303 9-77 +SCAN: 5.0/70.0/0.02/1(sec), Cu, I(max)=1542, 01/06/26 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b/tasks/peak_search_001/human_demo/screens/0013_final.png new file mode 100644 index 0000000..90d9dd8 Binary files /dev/null and b/tasks/peak_search_001/human_demo/screens/0013_final.png differ diff --git a/tasks/peak_search_001/task.json b/tasks/peak_search_001/task.json new file mode 100644 index 0000000..a50d91e --- /dev/null +++ b/tasks/peak_search_001/task.json @@ -0,0 +1,22 @@ +{ + "id": "peak_search_001", + "category": "basic_processing", + "difficulty": "medium", + "instruction": "请打开桌面上的 DEMO01.MDI 文件，进行自动寻峰操作 (Peak Search)，然后,导出峰报告文件并命名为 peak_result.pid。", + "input": { + "source_file": "../../data/source/DEMO01.MDI", + "inject_to": "C:\\Users\\lzy\\Desktop\\DEMO01.MDI" + }, + "output": { + "expected_file": "peak_result.pid", + "collect_from": "C:\\Users\\lzy\\Desktop\\peak_result.pid" + }, + "evaluation": { + "method": "peak_report_compare", + "ground_truth": "ground_truth/peak_result.pid", + "target_output": "agent_output/peak_result.pid", + "tolerance": 0.01 + }, + "tutorial_source": "教程(1) - 寻峰部分", + "notes": "自动寻峰并导出峰报告，使用默认寻峰参数" +} \ No newline at end of file diff --git a/tasks/smooth_001/agent_output/smooth_result.txt b/tasks/smooth_001/agent_output/smooth_result.txt new file mode 100644 index 0000000..674ca73 --- /dev/null +++ b/tasks/smooth_001/agent_output/smooth_result.txt @@ -0,0 +1,3252 @@ +Demo01: 37-1497 4-733 9-169 18-303 9-77 +5.0 43 +5.02 43 +5.04 43 +5.06 42 +5.08 40 +5.1 38 +5.12 38 +5.14 40 +5.16 42 +5.18 41 +5.2 40 +5.22 38 +5.24 38 +5.26 38 +5.28 40 +5.3 40 +5.32 38 +5.34 35 +5.36 33 +5.38 31 +5.4 33 +5.42 35 +5.44 38 +5.46 39 +5.48 39 +5.5 38 +5.52 38 +5.54 38 +5.56 39 +5.58 40 +5.6 42 +5.62 42 +5.64 41 +5.66 42 +5.68 44 +5.7 44 +5.72 43 +5.74 43 +5.76 44 +5.78 43 +5.8 43 +5.82 44 +5.84 44 +5.86 41 +5.88 38 +5.9 36 +5.92 35 +5.94 34 +5.96 36 +5.98 38 +6.0 39 +6.02 38 +6.04 37 +6.06 38 +6.08 38 +6.1 40 +6.12 41 +6.14 42 +6.16 41 +6.18 40 +6.2 39 +6.22 39 +6.24 39 +6.26 38 +6.28 37 +6.3 37 +6.32 39 +6.34 40 +6.36 40 +6.38 39 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a/tasks/smooth_001/task.json b/tasks/smooth_001/task.json new file mode 100644 index 0000000..69b6a05 --- /dev/null +++ b/tasks/smooth_001/task.json @@ -0,0 +1,22 @@ +{ + "id": "smooth_001", + "category": "basic_processing", + "difficulty": "easy", + "instruction": "请打开桌面上的 DEMO01.MDI 文件，进行平滑处理 (Smoothing)，平滑点数设置为 5，然后将处理后的曲线导出为 ASCII (.txt) 文件并命名为 smooth_result.txt。", + "input": { + "source_file": "../../data/source/DEMO01.MDI", + "inject_to": "C:\\Users\\lzy\\Desktop\\DEMO01.MDI" + }, + "output": { + "expected_file": "smooth_result.txt", + "collect_from": "C:\\Users\\lzy\\Desktop\\smooth_result.txt" + }, + "evaluation": { + "method": "xrd_data_compare", + "ground_truth": "ground_truth/smooth_result.txt", + "target_output": "agent_output/smooth_result.txt", + "tolerance": 0.0001 + }, + "tutorial_source": "教程(1) + 基础处理", + "notes": "重新采集，固定平滑点数=5" +} diff --git a/tasks/test_001/ground_truth/test_result.txt b/tasks/test_001/ground_truth/test_result.txt new file mode 100755 index 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b/tasks/test_001/human_demo/screens/0013_final.png differ diff --git a/tasks/test_001/task.json b/tasks/test_001/task.json new file mode 100644 index 0000000..d5d4764 --- /dev/null +++ b/tasks/test_001/task.json @@ -0,0 +1,20 @@ +{ + "id": "test_001", + "category": "basic_processing", + "difficulty": "easy", + "instruction": "请打开桌面上的 DEMO01.MDI 文件，进行平滑处理 (Smoothing)，平滑点数设置为 5，然后将处理后的曲线导出为 ASCII (.txt) 文件并命名为 smooth_result.txt。", + "input": { + "source_file": "../../data/source/DEMO01.MDI", + "inject_to": "C:\\Users\\lzy\\Desktop\\DEMO01.MDI" + }, + "output": { + "expected_file": "test_result.txt", + "collect_from": "C:\\Users\\lzy\\Desktop\\test_result.txt" + }, + "evaluation": { + "method": "xrd_data_compare", + "ground_truth": "ground_truth/test_result.txt", + "target_output": "agent_output/test_result.txt", + "tolerance": 0.0001 + } +} \ No newline at end of file