Nic*_*ner 6 python user-interface python-idle
是否有任何现有的Web应用程序可以让多个用户同时使用交互式IDLE类型会话?
就像是:
IDLE 2.6.4
Morgan: >>> letters = list("abcdefg")
Morgan: >>> # now, how would you iterate over letters?
Jack: >>> for char in letters:
print "char %s" % char
char a
char b
char c
char d
char e
char f
char g
Morgan: >>> # nice nice
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如果没有,我想创建一个.我可以使用哪些模块来模拟交互式会话吗?我想要一个这样的界面:
def class InteractiveSession():
''' An interactive Python session '''
def putLine(line):
''' Evaluates line '''
pass
def outputLines():
''' A list of all lines that have been output by the session '''
pass
def currentVars():
''' A dictionary of currently defined variables and their values '''
pass
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(虽然最后一个函数更像是一个额外的功能.)
用另一种方式表达我的问题:我想为IDLE创建一个新的前端.我怎样才能做到这一点?
更新:或者我可以通过模拟IDLE eval()?
更新2:如果我做了这样的事情怎么办:
我已经设置了一个简单的GAE Python聊天应用程序,允许用户登录,建立聊天室以及互相聊天.
我可以做类似这样的事情,而不仅仅是将传入的消息保存到数据存储区:
def putLine(line, user, chat_room):
''' Evaluates line for the session used by chat_room '''
# get the interactive session for this chat room
curr_vars = InteractiveSession.objects.where("chatRoom = %s" % chat_room).get()
result = eval(prepared_line, curr_vars.state, {})
curr_vars.state = curr_globals
curr_vars.lines.append((user, line))
if result:
curr_vars.lines.append(('SELF', result.__str__()))
curr_vars.put()
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InteractiveSession模型:
def class InteractiveSession(db.Model):
# a dictionary mapping variables to values
# it looks like GAE doesn't actually have a dictionary field, so what would be best to use here?
state = db.DictionaryProperty()
# a transcript of the session
#
# a list of tuples of the form (user, line_entered)
#
# looks something like:
#
# [('Morgan', '# hello'),
# ('Jack', 'x = []'),
# ('Morgan', 'x.append(1)'),
# ('Jack', 'x'),
# ('SELF', '[1]')]
lines = db.ListProperty()
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这可行,或者我离开/这种方法是不可行的/我在复制工作时应该使用已经构建的东西?
更新3:另外,假设我得到其他所有工作,我想要语法高亮.理想情况下,我可以使用一些API或服务来解析代码并适当地设置样式.
for c in "characters":
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会成为:
<span class="keyword">for</span> <span class="var">c</span> <span class="keyword">in</span> <span class="string>"characters"</span><span class="punctuation">:</span>
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有一个很好的现有Python工具来做到这一点?
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