mlapi.py 文件源码

def upload(name):
    message = "Success"
    code = 200
    try:
        datasetFolder = "./data/" + name + "/dataset/"
        projectmgr.ValidateServiceExists(name, constants.ServiceTypes.MachineLearning)
        if not os.path.exists(datasetFolder):
            os.makedirs(datasetFolder)
        if len(request.files) == 0:
            code = 1002
            message = "No file found"
            return jsonify({"statuscode": code, "message": message})

        postedfile = request.files.items(0)[0][1]
        postedfile.save(os.path.join(datasetFolder, werkzeug.secure_filename(postedfile.filename)))
    except Exception as e:
        code = 500
        message = str(e)

    return jsonify({"statuscode": code, "message": message})