在Spring Boot应用程序中,我想通过buildInfo()
插件任务中的springBoot
在build-info.properties
执行器端点中获取构建和其他与应用程序相关的信息。但是,构建信息属性文件名不是{app_name}.properties
,而是不同的/META-INF/{app_name}.properties
。该属性文件存在于Spring Boot创建的胖罐子中的springBoot {
buildInfo()
}
中。
import numpy as np
import tensorflow as tf
n_inputs = 2
n_hidden = 3
n_outputs = 1
X = tf.placeholder(tf.float32, shape=(None, n_inputs), name='X')
y = tf.placeholder(tf.float32, shape=(None), name='y')
def neuron_layer(X, n_neurons, name, activation=None):
with tf.name_scope(name):
n_inputs = int(X.get_shape()[1])
stddev = 2 / np.sqrt(n_inputs)
init = tf.truncated_normal((n_inputs, n_neurons), stddev=stddev)
W = tf.Variable(init, name="weights")
b = tf.Variable(tf.zeros([n_neurons]), name="bias")
Z = tf.matmul(X, W) + b
if activation is not None:
return activation(Z)
else: return Z
with tf.name_scope('nn'):
hidden = neuron_layer(X, n_hidden, name='hidden', activation=tf.nn.sigmoid)
prediction_probabilities = neuron_layer(hidden, n_outputs, name='outputs', activation=tf.nn.sigmoid)
with tf.name_scope('loss'):
mse_loss = tf.reduce_mean(tf.squared_difference(y, prediction_probabilities), name='loss')
learning_rate = 0.1
with tf.name_scope('train'):
optimizer = tf.train.AdamOptimizer(learning_rate=learning_rate)
training_op = optimizer.minimize(mse_loss)
with tf.name_scope('eval'):
correct = tf.equal(tf.greater_equal(prediction_probabilities,0.5), tf.cast(y,tf.bool))
accuracy = tf.reduce_mean(tf.cast(correct, tf.float32))
init = tf.global_variables_initializer()
X_train = [
(0, 0),
(0, 1),
(1, 0),
(1, 1)
]
y_train = [0,1,1,0]
with tf.Session() as sess:
init.run()
for epoch in range(500):
_, mse, acc = sess.run([training_op, mse_loss, accuracy],
feed_dict={X: np.array(X_train), y: np.array(y_train)})
print("mse: %.4f, accuracy: %.2f" % (mse, acc))
我的问题是:有什么方法可以在任务中配置属性文件名而不是采用默认值?
更新:
答案 0 :(得分:1)
您误解了buildInfo
的工作方式。 actuator
端点使用build-info.properties
中的/META-INF/
文件。 buildInfo
配置在运行时不起作用,实际上在运行时没有任何限制(例如,当您的应用程序在生产环境中运行时)。
buildInfo()
向您的gradle构建中添加了一个任务,该任务可以在构建应用程序期间基于build-info.properties
文件中的属性生成{app_name}.properties
。假设您已经拥有它,则需要按照documentation中所述在构建过程中运行它:
这将配置名为bootBuildInfo的BuildInfo任务,如果配置, 存在,使Java插件的class任务依赖于它