Question

我有以下问题，似乎无法找到答案，即使我认为它相当直接......

我正在尝试将Python / flask中的字符串从一个函数传递到另一个函数。没有烧瓶，这可以工作并打印我的文字。

[...]
def sample(args):
    with open(os.path.join(args.save_dir, 'config.pkl'), 'rb') as f:
        saved_args = cPickle.load(f)
    with open(os.path.join(args.save_dir, 'chars_vocab.pkl'), 'rb') as f:
        chars, vocab = cPickle.load(f)
    model = Model(saved_args, training=False)
    with tf.Session() as sess:
        tf.global_variables_initializer().run()
        saver = tf.train.Saver(tf.global_variables())
        ckpt = tf.train.get_checkpoint_state(args.save_dir)
        if ckpt and ckpt.model_checkpoint_path:
            saver.restore(sess, ckpt.model_checkpoint_path)
            text = model.sample(sess, chars, vocab, args.n, args.prime,
                               args.sample).encode('utf-8')
            printer(text)

def printer(text):    
    print(text)

这很好用并打印我的字符串。如果我尝试实现烧瓶，我会在127.0.0.1:5000/text

上收到内部服务器错误

def sample(args):
    with open(os.path.join(args.save_dir, 'config.pkl'), 'rb') as f:
        saved_args = cPickle.load(f)
    with open(os.path.join(args.save_dir, 'chars_vocab.pkl'), 'rb') as f:
        chars, vocab = cPickle.load(f)
    model = Model(saved_args, training=False)
    with tf.Session() as sess:
        tf.global_variables_initializer().run()
        saver = tf.train.Saver(tf.global_variables())
        ckpt = tf.train.get_checkpoint_state(args.save_dir)
        if ckpt and ckpt.model_checkpoint_path:
            saver.restore(sess, ckpt.model_checkpoint_path)
            text = model.sample(sess, chars, vocab, args.n, args.prime,
                               args.sample).encode('utf-8')
            printer(text)

@app.route('/text')
def printer(text):    
    return(text)

如果我只是尝试在不传递字符串的情况下显示某些文本，那么它可以正常工作。

我对python和flask完全不熟悉，我非常感谢任何帮助！

这是来自终端的追溯：

 [2017-12-02 15:47:06,244] ERROR in app: Exception on /text [GET]
Traceback (most recent call last):
  File "/Users/marcel/tensorflow/lib/python3.6/site-packages/flask/app.py", line 1982, in wsgi_app
    response = self.full_dispatch_request()
  File "/Users/marcel/tensorflow/lib/python3.6/site-packages/flask/app.py", line 1614, in full_dispatch_request
    rv = self.handle_user_exception(e)
  File "/Users/marcel/tensorflow/lib/python3.6/site-packages/flask/app.py", line 1517, in handle_user_exception
    reraise(exc_type, exc_value, tb)
  File "/Users/marcel/tensorflow/lib/python3.6/site-packages/flask/_compat.py", line 33, in reraise
    raise value
  File "/Users/marcel/tensorflow/lib/python3.6/site-packages/flask/app.py", line 1612, in full_dispatch_request
    rv = self.dispatch_request()
  File "/Users/marcel/tensorflow/lib/python3.6/site-packages/flask/app.py", line 1598, in dispatch_request
    return self.view_functions[rule.endpoint](**req.view_args)
TypeError: printer() missing 1 required positional argument: 'text'

Answer 1

查看运行flask应用程序的终端的控制台输出。它应该有堆栈跟踪以及要调试的细节，可能以这样的一行结束：

TypeError: printer() missing 1 required positional argument: 'text'

问题是用@app.route修饰的函数在没有参数的情况下调用，但是你定义的printer函数需要一个。您需要使函数无参数：

@app.route('/text')
def printer():    
    # ...

您需要更改其实现，以便返回有效的Response对象。有关示例，请参阅documentation。

将字符串放入烧瓶中

1 个答案: