如何在HTTP请求中发送多部分表单数据(用于Watson NLC培训)?

时间:2016-04-02 07:20:56

标签: go http-headers nlp content-type ibm-watson

我正在编写应用程序,它将使用Watson Natural Language Classifier(" NLC")。 当我使用以下请求消息正文向v1/classifiers URI path发送HTTP POST请求时,服务器将使用状态代码415(不支持的媒体类型)进行响应:

--04fef47728eb08148fe9c7b18dd42b75abd75ebf752fd3412a85aa3af075
Content-Disposition: form-data; name="training_data"; filename="data.csv"
Content-Type: text/csv

How hot is it today?;temperature
Is it hot outside?;temperature
Will it be uncomfortably hot?;temperature
Will it be sweltering?;temperature
How cold is it today?;temperature
Is it cold outside?;temperature
Will it be uncomfortably cold?;temperature
Will it be frigid?;temperature
What is the expected high for today?;temperature
What is the expected temperature?;temperature
Will high temperatures be dangerous?;temperature
Is it dangerously cold?;temperature
When will the heat subside?;temperature
Is it hot?;temperature
Is it cold?;temperature
How cold is it now?;temperature
Will we have a cold day today?;temperature
When will the cold subside?;temperature
What highs are we expecting?;temperature
What lows are we expecting?;temperature
Is it warm?;temperature
Is it chilly?;temperature
What's the current temp in Celsius?;temperature
What is the temperature in Fahrenheit?;temperature
--04fef47728eb08148fe9c7b18dd42b75abd75ebf752fd3412a85aa3af075
Content-Disposition: form-data; name="training_metadata"; filename="metadata.json"
Content-Type: application/json

{"language": "en"}

415状态代码表明内容类型存在问题,但似乎,就像所有MIME类型都是正确的一样。

我的代码(用Go编写):

func (w WatsonClassifier) createFormFile(writer *multipart.Writer, fieldname string, filename string, contentType string) (io.Writer, error)     {
    h := make(textproto.MIMEHeader)
    h.Set("Content-Disposition",
        fmt.Sprintf(`form-data; name="%s"; filename="%s"`,
            fieldname, filename))
    h.Set("Content-Type", contentType)
    return writer.CreatePart(h)
}

func (w WatsonClassifier) request(method string, apiUrl string, body io.Reader) (string, error) {
    url := w.url + "/" + apiUrl
    req, err := http.NewRequest(method, url, body)
    if err != nil {
        return "", err
    }
    req.SetBasicAuth(w.username, w.password)
    client := http.Client{}
    resp, err := client.Do(req)
    if resp.StatusCode != 200 {
        answer, _ := ioutil.ReadAll(resp.Body)
        fmt.Println(string(answer))
        return "", errors.New("Watson returned wrong status code : " + resp.Status)
    }
    answer, err := ioutil.ReadAll(resp.Body)
    if err != nil {
        return "", err
    }
    return string(answer), nil
}

func (w WatsonClassifier) Train(data []ClassifierCategory) (Classifier, error) {
    table := w.buildTable(data)
    str := w.buildCsv(data)
    buf := new(bytes.Buffer)
    writer := multipart.NewWriter(buf)
    data_part, err := w.createFormFile(writer, "training_data", "data.csv", "text/csv")
    if err != nil {
        return WatsonClassifier{}, err
    }
    data_part.Write([]byte(str))
    metadata_part, err := w.createFormFile(writer, "training_metadata", "metadata.json", "application/json")
    if err != nil {
        return WatsonClassifier{}, err
    }
    metadata_json := "{\"language\": \"" + w.Language + "\"}"
    metadata_part.Write([]byte(metadata_json))
    fmt.Println(buf.String())
    answer, err := w.request("POST", "v1/classifiers", buf)
    if err != nil {
        return WatsonClassifier{}, err
    }
    fmt.Println(answer)
    return WatsonClassifier{}, nil
}

1 个答案:

答案 0 :(得分:2)

请注意 curl 正在发送" Content-Type" multipart/form-data的标题。你的Go计划正在发送一个" Content-Disposition"标题只有form-data(请注意区别,它缺少前导multipart复合顶级媒体类型),但它并不负责发送正确的" Content-Type& #34;包含HTTP请求的标头。

multipart.Writer类型CreateFormFile method does the same,但同样,这只是工作的一部分:

h.Set("Content-Disposition",
        fmt.Sprintf(`form-data; name="%s"; filename="%s"`,
                escapeQuotes(fieldname), escapeQuotes(filename)))

获得正确的内容类型"标头值,您需要使用multipart.Writer.FormDataContentType。要使用该值,您需要将multipart.Writer放入WatsonClassifier.request方法,以便在http.Request实例上设置内容类型:

req.Header.Set("Content-Type", writer.FormDataContentType())

或者,为内容类型添加另一个参数WatsonClassifier.request,并将FormDataContentType的结果作为WatsonClassifier.Train中来自调用网站的参数传递。

让我们知道这是否有效。