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来自 “ ITPUB博客 ” ,链接:http://blog.itpub.net/28257707/viewspace-749028/,如需转载,请注明出处,否则将追究法律责任。

转载于:http://blog.itpub.net/28257707/viewspace-749028/

We are given a log file that contains a sequence of events related to an update process on a device. The log is from the perspective of an automated test system (autotest) that is monitoring the update process. The key events in the log: 1. The test system is trying to establish an SSH connection to the device at 192.168.231.225. Initially, the connection is down, so it tries to start a new connection. 2. At 04:38:48, there's a timeout error waiting for the main SSH connection to come up. 3. Then, at 04:39:06, we see that the device has switched slots (likely due to an update) and the test breaks out of a waiting loop. 4. The test then checks the status of the update engine by running `update_engine_client --status` via SSH. The output shows that the update is in the DOWNLOADING state with progress at about 13%. 5. The test then retrieves the update_engine log and we see the log entries from the device's update_engine daemon. The update_engine log shows: - The update_engine starts at 04:39:01. - It identifies that the device is booted from slot A (slot 0). - It's an unofficial build, so periodic update checks are blocked. - It begins an update for a DLC (Downloadable Content) called "timeofday-dlc". The download URL is provided, and the download completes successfully (HTTP 200) at 04:39:05, with 23064576 bytes downloaded. - After verifying the hash, the DLC is mirrored and set to Active. - Then, the update_engine starts another update for a different DLC: "ml-dlc-a97333ed-3157-49a3-b503-2d2d3f23c81d". The log shows the installation starting for this DLC. However, the test then fails because it cannot find the update_engine logs to verify the update. The last lines in the log are: ``` 06/05 04:39:09.952 DEBUG| test:0439| Test failed due to update_engine logs are missing. Cannot verify update.. Exception log follows the after_iteration_hooks. ``` This indicates that the test expected to find update_engine logs for the entire update process, but at the time it checked (04:39:09), the log for the second DLC update was not available (or the test looked in the wrong place). But note: the test did retrieve the update_engine log at 04:39:09.856 (the file `update_engine.20250604-213901`). However, that log only covers the first DLC (timeofday-dlc) and the beginning of the second DLC (ml-dlc). The second DLC update was still in progress when the test checked. The test then, at 04:39:09.920, runs `ls -t -1 /var/log/update_engine/` and gets only one log file: `update_engine.20250604-213901`. This is the same log that was previously retrieved. The test then fails because it expects to see logs for the entire update (which might include multiple log files or a more recent one) but only one is present. It's possible that the update_engine daemon rotates logs and the test expects a new log for the second update? However, the log we see spans from 04:39:01 to 04:39:07 (and beyond, but the test only retrieved up to 04:39:09.913 in the log). The test failure message says "update_engine logs are missing", meaning it couldn't find the logs it expected. Alternatively, the test might be looking for a log entry that confirms the entire update (including the second DLC) completed, but the log we have only shows the start of the second DLC update. Given the information, the problem appears to be that the test is failing because it cannot find the expected update_engine logs to verify the update. This could be because: - The test is not waiting long enough for the update to complete and the logs to be written. - The update_engine log rotation might have occurred and the test is not accounting for the latest log file. - The test expects a specific log entry that is not present in the retrieved log. However, from the provided log, we can see that the update_engine was in the middle of updating the second DLC when the test checked. The test then immediately tried to get the logs again and found only one log file, which it had already retrieved. The test code seems to be in a state where it breaks out of the waiting loop because it detected a slot switch (which happened for the first DLC) but then it tries to verify the entire update (which includes multiple DLCs) and fails because the second DLC update was still ongoing and the logs were not complete. In summary, the issue is that the test did not wait for the entire update (all DLCs) to complete before attempting to verify the logs. It only waited for the first DLC to complete and the slot switch, but then proceeded to check the logs while the second DLC update was still in progress. Recommendation: The test should wait until the update_engine status indicates that the update is fully completed (e.g., IDLE) and then verify the logs. 翻译成中文
06-06
import time import os from appium import webdriver from appium.webdriver.common.appiumby import AppiumBy from appium.webdriver.common.touch_action import TouchAction from selenium.webdriver.support.ui import WebDriverWait from selenium.webdriver.support import expected_conditions as EC import pandas as pd # 存储测试日志的列表 test_results = [] def log_result(action, element_desc, status, message=""): """记录每一步的操作结果""" test_results.append({ "Action": action, "Element": element_desc, "Status": status, "Message": message, "Timestamp": time.strftime("%Y-%m-%d %H:%M:%S") }) # Appium 配置 desired_caps = { "platformName": "Android", "deviceName": "emulator-5554", # 使用 adb devices 查看设备名 "appPackage": "com.example.yourapp", # 替换为实际包名 "appActivity": "com.example.yourapp.MainActivity", # 替换为主 Activity "noReset": False, "autoAcceptAlerts": True, "automationName": "UiAutomator2" } driver = webdriver.Remote('http://localhost:4723/wd/hub', desired_caps) wait = WebDriverWait(driver, 10) action = TouchAction(driver) try: # === 第一阶段:处理用户协议页面 === log_result("Start", "App Launch", "Success", "APP launched successfully") # 假设协议页面存在一个 ScrollView 或可滑动区域 scroll_container = (AppiumBy.CLASS_NAME, "android.widget.ScrollView") agree_button = (AppiumBy.ID, "com.example.yourapp:id/btn_agree") # “我同意”按钮 ID disagree_button = (AppiumBy.ID, "com.example.yourapp:id/btn_disagree") # “我不同意” # 等待滑动容器出现 try: wait.until(EC.presence_of_element_located(scroll_container)) log_result("Wait", "Scroll View Loaded", "Success", "Located scrollable area") except: log_result("Wait", "Scroll View", "Fail", "No scrollable view found") raise # 滑动到底部(多次滑动直到按钮可见) for _ in range(10): try: if driver.find_elements(*agree_button): log_result("Scroll", "Find 'I Agree' Button", "Success", "Button appeared after scrolling") break except: pass # 执行一次向上滑动(模拟用户阅读协议) size = driver.get_window_size() start_x = size['width'] // 2 start_y = int(size['height'] * 0.8) end_y = int(size['height'] * 0.2) driver.swipe(start_x, start_y, start_x, end_y, 1000) time.sleep(1) else: log_result("Scroll", "'I Agree' Button", "Fail", "Failed to reach agreement buttons") raise Exception("Could not find 'I Agree' button after scrolling") # 点击“我同意” try: btn_agree = wait.until(EC.element_to_be_clickable(agree_button)) btn_agree.click() log_result("Click", "I Agree Button", "Success", "Proceeded to next screen") except Exception as e: log_result("Click", "I Agree Button", "Fail", str(e)) raise time.sleep(2) # === 第二阶段:选择机器设备 === device_item = (AppiumBy.ID, "com.example.yourapp:id/device_item") # 设备项示例 ID try: first_device = wait.until(EC.element_to_be_clickable(device_item)) first_device.click() log_result("Select", "First Machine", "Success", "Entered main screen") except Exception as e: log_result("Select", "Machine", "Fail", str(e)) raise time.sleep(3) # === 第三阶段:遍历底部导航栏 === # 假设底部有 4 个 Tab,ID 分别为 tab_home, tab_order, tab_mine 等 tab_ids = [ "com.example.yourapp:id/tab_home", "com.example.yourapp:id/tab_order", "com.example.yourapp:id/tab_message", "com.example.yourapp:id/tab_mine" ] for tab_id in tab_ids: try: tab = wait.until(EC.element_to_be_clickable((AppiumBy.ID, tab_id))) tab_name = tab_id.split(":id/")[-1].capitalize() tab.click() time.sleep(2) # 等待页面加载 log_result("Navigate", f"Tab - {tab_name}", "Success", f"Switched to {tab_name} page") except Exception as e: log_result("Navigate", f"Tab - {tab_id}", "Fail", str(e)) continue # 继续尝试下一个 tab # === 第四阶段:在当前页面抓取所有可交互元素 === all_elements = driver.find_elements(AppiumBy.XPATH, "//*") clickable_elements = [e for e in all_elements if e.get_attribute("clickable") == "true"] editable_elements = [e for e in all_elements if e.get_attribute("editable") == "true"] # 去重(避免同一个元素既可点击又可编辑) processed_ids = set() for idx, elem in enumerate(clickable_elements): elem_id = id(elem) if elem_id in processed_ids: continue try: # 尝试滚动到元素可见 driver.execute_script("arguments[0].scrollIntoView(true);", elem) time.sleep(0.5) elem.click() desc = f"Clickable Element #{idx}" attr_text = elem.get_attribute("text") or elem.get_attribute("content-desc") or "No text" log_result("Click", desc, "Success", f"Text: {attr_text}") processed_ids.add(elem_id) time.sleep(1) except Exception as e: log_result("Click", f"Element #{idx}", "Fail", str(e)) for idx, elem in enumerate(editable_elements): elem_id = id(elem) if elem_id in processed_ids: continue try: driver.execute_script("arguments[0].scrollIntoView(true);", elem) time.sleep(0.5) elem.clear() # 清空输入框 elem.send_keys("AutoTest Input") desc = f"Editable Element #{idx}" attr_text = elem.get_attribute("text") or elem.get_attribute("hint") or "Input field" log_result("Input", desc, "Success", f"Typed into: {attr_text}") processed_ids.add(elem_id) time.sleep(1) except Exception as e: log_result("Input", f"Element #{idx}", "Fail", str(e)) finally: # === 第五阶段:生成 Excel 报告 === df = pd.DataFrame(test_results) output_file = "app_automation_test_report.xlsx" df.to_excel(output_file, index=False) print(f"[INFO] 测试完成,报告已保存至: {os.path.abspath(output_file)}") # 关闭驱动 driver.quit() 将desired_caps替换为options
10-18
潮汐研究作为海洋科学的关键分支,融合了物理海洋学、地理信息系统及水利工程等多领域知识。TMD2.05.zip是一套基于MATLAB环境开发的潮汐专用分析工具集,为科研人员与工程实践者提供系统化的潮汐建模与计算支持。该工具箱通过模块化设计实现了两大核心功能: 在交互界面设计方面,工具箱构建了图形化操作环境,有效降低了非专业用户的操作门槛。通过预设参数输入模块(涵盖地理坐标、时间序列、测站数据等),用户可自主配置模型运行条件。界面集成数据加载、参数调整、可视化呈现及流程控制等标准化组件,将复杂的数值运算过程转化为可交互的操作流程。 在潮汐预测模块中,工具箱整合了谐波分解法与潮流要素解析法等数学模型。这些算法能够解构潮汐观测数据,识别关键影响要素(包括K1、O1、M2等核心分潮),并生成不同时间尺度的潮汐预报。基于这些模型,研究者可精准推算特定海域的潮位变化周期与振幅特征,为海洋工程建设、港湾规划设计及海洋生态研究提供定量依据。 该工具集在实践中的应用方向包括: - **潮汐动力解析**:通过多站点观测数据比对,揭示区域主导潮汐成分的时空分布规律 - **数值模型构建**:基于历史观测序列建立潮汐动力学模型,实现潮汐现象的数字化重构与预测 - **工程影响量化**:在海岸开发项目中评估人工构筑物对自然潮汐节律的扰动效应 - **极端事件模拟**:建立风暴潮与天文潮耦合模型,提升海洋灾害预警的时空精度 工具箱以"TMD"为主程序包,内含完整的函数库与示例脚本。用户部署后可通过MATLAB平台调用相关模块,参照技术文档完成全流程操作。这套工具集将专业计算能力与人性化操作界面有机结合,形成了从数据输入到成果输出的完整研究链条,显著提升了潮汐研究的工程适用性与科研效率。 资源来源于网络分享,仅用于学习交流使用,请勿用于商业,如有侵权请联系我删除!
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