nodecv-server 服务的 安装部署 参考：https://macacajs.com/zh/computer-vision

关键字封装

opencv连接接口服务
    [Documentation]    根据API配置中接口服务器地址：${opencv_server_url}  连接接口服务
    create session    opencv    ${opencv_server_url}

opencv关闭接口服务连接
    [Documentation]    关闭所有服务  
    delete all sessions

opencv_dissimilarity
    [Arguments]    ${image1}    ${image2}
    [Documentation]   差异度   dissimilarity 的值 越小 差异 越小
    ...    ${image1}    ./image/macaca.png  图片名称只能使用字母数字及下划线
    ...    ${image2}    ./image/macaca_logo.png
    ${image1}    _图片信息拼装    ${image1}
    ${image2}    _图片信息拼装    ${image2}
    ${files}    create dictionary    image1=${image1}    image2=${image2}
    ${addr}    post request    opencv    ${POST_diss}    files=${files}
    should be equal as strings    ${addr.status_code}    200
    ${responsedata}    to json    ${addr.content}
    log    ${responsedata}
    [Return]    ${responsedata}

opencv_matchtemplate
    [Arguments]    ${image1}    ${image2}
    [Documentation]
    ...    ${image1}    ./image/macaca.png   被匹配标记的大图
    ...    ${image2}    ./image/macaca_logo.png    为需要匹配的小图，
    ...                  最好是颜色较深的 图片 带文字效果不好，获取小图在大图中的位置（坐标信息）
    ${image1}    _图片信息拼装    ${image1}
    ${image2}    _图片信息拼装    ${image2}
    ${files}    create dictionary    image1=${image1}    image2=${image2}
    ${addr}    post request    opencv    ${POST_match}    files=${files}
    should be equal as strings    ${addr.status_code}    200
    ${responsedata}    to json    ${addr.content}
    log    ${responsedata}
    [Return]    ${responsedata}

opencv_cascadedetect
    [Arguments]    ${image1}    ${image2}
    [Documentation]
    ...    ${image1}    ./image/macaca.png
    ...    ${image2}    ./image/macaca_logo.png
    ${image1}    _图片信息拼装    ${image1}
    ${image2}    _图片信息拼装    ${image2}
    # ${image1}    evaluate    ('image1', open('${image1}', 'rb'))
    # ${image2}    evaluate    ('image2', open('${image2}', 'rb'))
    ${files}    create dictionary    image1=${image1}    image2=${image2}
    ${addr}    post request    opencv    ${POST_casca}    files=${files}
    should be equal as strings    ${addr.status_code}    200
    ${responsedata}    to json    ${addr.content}
    log    ${responsedata}
    [Return]    ${responsedata}

opencv_findpairs
    [Arguments]    ${image1}    ${image2}
    [Documentation]
    ...    ${image1}    ./image/macaca.png   图片名称只能使用字母数字及下划线
    ...    ${image2}    ./image/macaca_logo.png
    ${image1}    _图片信息拼装    ${image1}
    ${image2}    _图片信息拼装    ${image2}
    ${files}    create dictionary    image1=${image1}    image2=${image2}
    ${addr}    post request    opencv    ${POST_findpairs}    files=${files}
    should be equal as strings    ${addr.status_code}    200
    ${responsedata}    to json    ${addr.content}
    log    ${responsedata}
    [Return]    ${responsedata}

_图片信息拼装
    [Arguments]    ${image}
    # ${i_name}    get image name    ${image}
    # ${i_type}    get image type    ${i_name}
    ${i_name}    evaluate    re.search('\\w+\\.\\w+','${image}').group()    re
    ${i_type}    evaluate    re.search('\\.\\w+','${i_name}').group()    re
    ${i_type}    Set Variable    ${i_type[1:]}
    ${image}    evaluate    ('${i_name}', open('${image}', 'rb'), 'image/${i_type}', {'Expires': '0'})
    [Return]    ${image}

关键字应用

8dol点击我的_微信登录
    8dol_app_点击进入_登录引导页_微信登录
    8dol_app_等待加载_微信登录页
    sleep    1
    ${image}    PK_8dol截屏    wechat_login
    ${responsedata}    opencv_matchtemplate    ${image}    image/wechat_login.png    
    log    ${responsedata}
    ${match}    get from dictionary    ${responsedata}    match
    ${x_center}    evaluate    float(${match[1]})+float(${match[3]})/2
    ${y_center}    evaluate    float(${match[2]})+float(${match[4]})/2
    PK_点击_坐标    ${x_center}    ${y_center}              #点击确认登录按钮