I'm writing application that'll use Watson Natural Language Classifier ("NLC"). When I send an HTTP POST request against the v1/classifiers URI path with the following request message body, the server responds with status code 415 (Unsupported Media Type):
--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"}
The 415 status code suggests a problem with the content type, but it seems like all the MIME types are correct.
My code (written in Go):
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
}