81 lines
3.3 KiB
Plaintext
81 lines
3.3 KiB
Plaintext
*** Settings ***
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Library FlaUILibrary
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Library OperatingSystem
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Library Collections
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Library json
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*** Variables ***
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${RESULTS_DIR} ${CURDIR}\\results
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${AVATARS_DIR} ${RESULTS_DIR}\\avatars
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*** Test Cases ***
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Check If WXWork Is Running
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${wxwork_running}= Is WXWork Running
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Log WXWork is running: ${wxwork_running}
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Click Calculator Button
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# 等待计算器窗口出现
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Wait Until Element Exist //Window[@Name="计算器" or @Name="Calculator"]
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# 点击数字按钮
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Click //Button[@Name="5" or @AutomationId="num5Button"]
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Click //Button[@Name="+" or @AutomationId="plusButton"]
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Click //Button[@Name="3" or @AutomationId="num3Button"]
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Click //Button[@Name="=" or @AutomationId="equalButton"]
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Get WeChat Work Conversation List
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# 检查企业微信是否运行
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${wxwork_running}= Is WXWork Running
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Log WXWork is running: ${wxwork_running}
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Run Keyword If not ${wxwork_running} Fail 企业微信(WXWork.exe)未运行，请先启动企业微信
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# 创建结果目录
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Create Directory ${RESULTS_DIR}
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Create Directory ${AVATARS_DIR}
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# 等待企业微信窗口出现
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Wait Until Element Exist //Window[contains(@Name, "企业微信")]
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Wait Until Element Exist //Pane[@Name="TitleBarWindow"]
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# Wait Until Element Exist //Tree[@Name="clientbg"]
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# 等待对话列表加载
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Wait Until Element Exist //Tree[@Name="GeneralConversationItemView"]
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# 创建一个空列表用于存储对话数据
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@{conversations}= Create List
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# 查找所有对话项
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${conversation_items}= Find All Elements //Tree[@Name="GeneralConversationItemView"]
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# 遍历每个对话项
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FOR ${item} IN @{conversation_items}
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# 获取当前对话项的XPath
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${item_xpath}= Set Variable ${item.Xpath}
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# 获取头像元素
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${avatar_elements}= Find All Elements ${item_xpath}//TreeItem[@Name="avataricon"]
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${avatar_element}= Set Variable ${avatar_elements}[0]
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# 截取头像图片
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${timestamp}= Evaluate int(round(time.time() * 1000)) time
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${avatar_path}= Set Variable ${AVATARS_DIR}\\avatar_${timestamp}.png
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${screenshot}= Take Screenshot ${avatar_element}
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Copy File ${screenshot} ${avatar_path}
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# 获取用户名元素
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${username_elements}= Find All Elements ${item_xpath}//TreeItem[@Name="groupbuddyname"]
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${username}= Get Name From Element ${username_elements}[0]
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# 创建对话数据并添加到列表
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${conversation}= Create Dictionary name=${username} avatar=file://${avatar_path}
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Append To List ${conversations} ${conversation}
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END
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# 将对话列表保存为JSON文件
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${json_string}= Evaluate json.dumps($conversations, ensure_ascii=False, indent=2) json
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Create File ${RESULTS_DIR}\\conversations.json ${json_string}
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*** Keywords ***
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Is WXWork Running
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${process_output}= Run tasklist /FI "IMAGENAME eq WXWork.exe" /FO CSV /NH
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${is_running}= Run Keyword And Return Status Should Contain ${process_output} WXWork.exe
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RETURN ${is_running}
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