使用Django和heroku搭建一个简易网站 - 51Testing软件测试论坛

mysite/
manage.py
mysite/
__init__.py
settings.py
urls.py
wsgi.py
polls/
__init__.py
admin.py
migrations/
__init__.py
0001_initial.py
models.py
static/
polls/
images/
background.gif
style.css
templates/
polls/
detail.html
index.html
results.html
tests.py
urls.py
views.py
templates/
admin/
base_site.html

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# -*- coding: utf-8 -*-
from django.shortcuts import render, render_to_response
from django.views.decorators import csrf
import tensorflow as tf
import numpy as np
def add_layer(inputs, insize, outsize, n, activation_function=None):
layer_name = 'layer%s' % n
with tf.name_scope(layer_name):
Weights = tf.Variable(tf.random_normal([insize, outsize]), name='w')
tf.summary.histogram(layer_name + 'Weights', Weights)
bias = tf.Variable(tf.zeros([1, outsize]))
tf.summary.histogram(layer_name + 'bias', bias)
wx_b = tf.add(tf.matmul(inputs, Weights), bias)
if activation_function is None:
output = wx_b
else:
output = activation_function(wx_b, )
return output
def input(request):
return render_to_response('get.html')
def calculate(request):
# xdata = [0.98, 514.50, 294.00, 110.25, 7.00, 2, 0.10, 1]
request.encoding = 'utf-8'
context = {}
xdata = []
if request.GET:
for num in range(1, 9):
xdata.append(float(request.GET['X%i' % num]))
xdata = np.array(xdata).reshape([1, 8])
xdata = 1.0 / (1 + np.exp(xdata))
# print('xdata: ', xdata)
# context['heatload'] = xdata[0]
# context['coolload'] = xdata[2]
tf.reset_default_graph()
xs = tf.placeholder(tf.float32, xdata.shape, name='xinput')
l1 = add_layer(xs, xdata.shape[1], 10, 1, activation_function=tf.nn.relu) # 10 is layer units
l2 = add_layer(l1, 10, 10, 2, activation_function=tf.nn.relu) # 10 is layer units
prediction = add_layer(l2, 10, 2, 3, activation_function=None) # predicted output
saver = tf.train.Saver()
with tf.Session() as sess:
# you cannot initialize here
saver.restore(sess, './my_net/save_net.ckpt')
rlt = sess.run(prediction, feed_dict={xs: xdata})
# print('result: ', rlt)
context['heatload'] = rlt[0, 0]
context['coolload'] = rlt[0, 1]
print('context', context)
return render(request, "result.html", context)

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<!DOCTYPE html>
<html lang="en" xmlns="http://www.w3.org/1999/html">
<head>
<meta charset="UTF-8">
<title>Calculate the hear load and cool load</title>
</head>
<body>
<form action = "/result/" method = "get">
{% csrf_token %}
Relative Compactness (surface-area-to-volume ratio): <input type="number" step = "any" name="X1" value = 0.764167> <br />
Surface Area: <input type="number" name="X2" step = "any" value = 671.708333> <br />
Wall Area: <input type="number" name="X3" step = "any" value = 318.50000> <br />
Roof Area: <input type="number" name="X4" step = "any" value = 176.604167> <br />
Overall Height: <input type="number" name="X5" step = "any" value = 5.25> <br />
Orientation: <input type="number" name="X6" step = "any" value = 3.5> <br />
Glazing Area: <input type="number" name="X7" step = "any" value = 0.234375> <br />
Glazing Area Distribution: <input type="text" name="X8" step = "any" value = 2.812500> <br />
<input type="submit" value="Submit">
</form>
<p></p>
</body>
</html>

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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>result</title>
</head>
<body>
heat load: <p> {{ heatload }} BTU </p> <br />
cool load: <p> {{ coolload }} BTU </p> <br />
{% if heatload < 11.67 and coolload < 14.52 %}
the efficiency classification: very low heating and cooling requirement
{% elif 15.92 > heatload and heatload >= 11.67 and 18.65 > coolload and coolload >= 14.52 %}
the efficiency classification: low heating and cooling requirement
{% elif 26.27 > heatload and heatload >= 15.92 and 28.27 > coolload and coolload >= 18.65 %}
the efficiency classification: medium heating and cooling requirement
{% elif 32.32 > heatload and heatload >= 26.27 and 34.03 > coolload and coolload >= 28.27 %}
the efficiency classification: high heating and cooling requirement
{% else %}
the efficiency classification: very high heating and cooling requirement
{% endif %}
</body>
</html>

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from django.contrib import admin
from django.urls import path, include
from energy.views import calculate
urlpatterns = [
path('', include('energy.urls')),
path('result/', calculate),
path('admin/', admin.site.urls),
]

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