我是web2py的新手并试用了一个应用程序。请参阅下面的相关controller函数和相应的相关views。我首先将浏览器指向http://127.0.0.1:8000/test/default/index，之后我会关注该应用程序。我体验过，对我来说很奇怪：有时候（并非总是，大约一次5-6次）http://127.0.0.1:8000/test/default/inandout页面上显示的MC和maxWTP的值在第一次价格后更改进入。我想要做的是当一个人进入http://127.0.0.1:8000/test/default/index时，应该随机选择MC和maxWTP，这些用于创建市场对象;但不是那之后。页面重定向到http://127.0.0.1:8000/test/default/inandout后，我不明白为什么在输入价格后MC和maxWTP应该更改。此外，它似乎只在第一次输入价格后才会发生。有人可以向我解释为什么会发生这种情况以及如何纠正这种情况？
我正在使用Chrome浏览器和web2py和python 2.7版本1.99.7（2012-03-04 22:12:08）。
我不认为原因在于市场模块。但是如果你想看市场模块和它依赖的其他模块，请告诉我。
控制器功能
import random
import market
def index():
'''Creates a new market object and resets the price, quantity
and profit histories'''
session.marketobject = None
mc = random.choice([1,1.2,1.3,1.4,1.5,1.6,1.7,1.8,1.9,2])
maxWTP = random.choice([4,5,6,7])
session.marketobject = market.Market(mc,maxWTP)
session.priceHistory = []
session.profitHistory = []
session.quantityHistory = []
redirect(URL('inandout'), 303)
def second():
if request.vars.price:
price = float(request.vars.price)
# use the price to calculate profit and qsold
currentprice, qsold, profit = session.marketobject.calculate_qsold_profit(price)
# add the result to the history of prices, profits and qsold
session.priceHistory.append(currentprice)
session.profitHistory.append(profit)
session.quantityHistory.append(qsold)
redirect(URL('inandout'), 303)
def inandout():
capacity = session.marketobject.K
populationsize = session.marketobject.N
mc = session.marketobject.MC
maxWTP = session.marketobject.maxWTP
return dict(capacity=capacity, populationsize=populationsize,
mc=mc, maxWTP=maxWTP,
priceHistory=session.priceHistory,
profitHistory=session.profitHistory,
quantityHistory=session.quantityHistory)
查看：inandout.html
<html>
<head>
<title>First page</title>
<link rel="stylesheet" href="{{=URL('static', 'css/testapp.css')}}">
</head>
<body>
<h2>Seller capacity: {{=capacity}}</h2>
<h2>Population size: {{=populationsize}}</h2>
<h2>MC: {{=mc}}</h2>
<h2>Maximum WTP: {{=maxWTP}}</h2>
<form action="second">
Enter price: <input type="text" name="price">
<input type="submit">
</form>
<table>
{{for count in range(len(priceHistory)):}}
<tr>
<td>{{=priceHistory[count]}}</td>
<td>{{=quantityHistory[count]}}</td>
<td>{{=profitHistory[count]}}</td>
</tr>
{{pass}}
</table>
</body>
</html>
市场，消费者和业务模块
#!/usr/bin/env python
# coding: utf8
import consumers
import business
class Market(object):
def __init__(self, MC, maxWTP, N=30000, minWTP=0,
FC=0, K=10000, numDecisions=3):
self.numDecisions = numDecisions
self.K = K
self.N = N
self.MC = MC
self.maxWTP = maxWTP
self.consumerClass = consumers.AllConsumers(N, minWTP, maxWTP)
self.seller = business.Seller(FC, MC, K)
def calculate_qsold_profit(self, price):
currentprice = price
qtydemanded = self.consumerClass.qtyDemanded(currentprice)
calculate_qsold_profit = \
self.seller.calculate_qsold_profit(currentprice,
qtydemanded)
qSold = calculate_qsold_profit[0]
profit = calculate_qsold_profit[1]
return (currentprice, qSold,profit,)
consumers.py
#!/usr/bin/env python
# coding: utf8
import random
##=====================================================================
# Create the class that creates all consumers
##=====================================================================
class AllConsumers(object):
def __init__(self, N, minWTP, maxWTP):
self.N = N
self.minWTP = minWTP
self.maxWTP = maxWTP
self.listOfWTPs = sorted([random.uniform(minWTP,maxWTP) \
for x in range(N)], reverse=True)
def qtyDemanded(self, price):
count = 0
for wtp in self.listOfWTPs:
if wtp >= price:
count += 1
else:
break
return count
business.py
#!/usr/bin/env python
# coding: utf8
##=====================================================================
# Create a seller class
##=====================================================================
class Seller(object):
def __init__(self, FC, MC, K):
self.FC = FC
self.MC = MC
self.K = K
def calculate_qsold_profit(self, price, qtydemanded):
# choose minimum of quantity demanded and capacity
# create a vector of monthly capacity (same element repeated 12 times)
qsold = min(qtydemanded,self.K)
# Calculate the profit vector
profit = ((price - self.MC) * qsold) - self.FC
return (qsold, profit)