我有以下REST API调用示例 -
curl -u "{username}":"{password}" -X POST \
-F "images_file=@test.jpg" \
"https://gateway.watsonplatform.net/visual-recognition-beta/api/v2/classify?version=2015-12-02"
我想将上述调用作为标准的ajax请求执行。这是我到目前为止 -
cropper.getCroppedCanvas().toBlob(function(blob){
var uploadData = new FormData();
uploadData.append('images_file',blob);
$.ajax('https://gateway.watsonplatform.net/visual-recognition-beta/api/v2/classify?version=2015-12-02', {
method: "POST",
data: uploadData,
processData: false,
contentType: false,
beforeSend: function (xhr) {
xhr.setRequestHeader('Authorization', 'Basic ODdlOTTZIeg==');
},
success: function (data) {
console.log('Upload success');
console.log(data);
},
error: function (data) {
console.log('Upload error');
console.log(data);
}
})
})
我收到错误 -
"{"code":400,"error":"Could not classify. Verify that valid images were uploaded."}"
我的预感是,在上述ajax调用中没有正确模拟cURL的-F image_results=@test.jpg
。
cropper.getCroppedCanvas()是来自cropperjs库的函数调用。
答案 0 :(得分:0)
将formData
与blob
一起使用,如下所示:
formdata.append("myfile", myBlob, "filename.txt");
请参阅Document
使用append()方法时,可以使用第三个可选参数在发送到服务器的Content-Disposition标头内传递文件名。如果未指定文件名(或不支持该参数),则使用名称“blob”。
所以,对于你的情况:
cropper.getCroppedCanvas().toBlob(function(blob){
var uploadData = new FormData();
var filename = "your-file-name-with-suffix";
uploadData.append('images_file',blob,filename);
//$.ajax(...);
});