在 robot framework 上封装 nodecv-server 的视觉判断关键字 - 51Testing软件测试论坛

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}

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