def cl(self):
if self._cl:
return self._cl
if self.clid:
clid = self.clid
else:
clName = self.request.REQUEST.get('cl')
if clName:
self.clid = clid = clName
else:
return False
cl = memcache.get(clid.encode('utf8'))
if cl is None:
if clid.isdigit() and len(clid)<4:
logger.warn("User requested a random classification, not fully implemented")
cl = classification.random(self.ts.numregions,min(int(clid)+2,MAX_n))
self._cl = cl
return cl
else:
cl = Classification.get_by_key_name(clid)
if cl is not None and not memcache.add(clid.encode('utf8'), cl):
logger.error("Memcache set failed [ %s ]"%clid)
if cl is not None:
if cl.public or cl.owner == self.request.user.username:
self._cl = cl
return self._cl
return False
def real_get(self):
values = self.request.REQUEST.get('values')
if not values and self.cl:
C = Classification.get_by_key_name(self.clid)
if C and hasattr(C,'notes'):
values = C.notes
else:
values = ','.join(map(str,range(self.cl.n)))
if self.cs and values:
delim = self.request.REQUEST.get('delim')
if not delim: delim = ','
title = self.request.REQUEST.get('title')
values = values.split(delim)
s = '<div style="width:170px; background-color:#cccccc; padding:5px;">'
if title: s+='<h3 style="margin:0;border:0;padding:0;">%s</h3>'%title
#for i in range(2,self.cs.n):
for i,val in enumerate(values):
r,g,b = map(ord,self.cs.colors[i+2])
s += '<div style="clear:both; float:left; border: 1px black solid; width:20px; height:20px; background-color:#%.2X%.2X%.2X;"> </div>'%(r,g,b)
#s += '<div style="height:22px;">'+values[i-2]+'</div>'
s += '<div style="height:22px;">'+val+'</div>'
s += '</div>'
callback = self.request.REQUEST.get('callback')
if callback:
s = callback+'({"legend":"%s"})'%s.replace('"','\\"')
self.write(s)
def cl(self):
""" Search for the Classification Name in the Request and try and load it from Memcache or DataStore, return True or False """
if self._cl:
return self._cl
classificationName = self.request.REQUEST.get('cl','DEFAULT')
if classificationName == 'random':
self.clid = clid = "cl:random"
elif classificationName.isdigit():
self.clid = clid = "cl:__digit:"+self.ts.name+":"+classificationName
elif self.ts:
self.clid = clid = "cl:"+self.ts.name+":"+classificationName
else:
return False
cl = memcache.get(clid)
if cl is not None:
self._cl = cl
else:
cl = None
if self.ts:
N = self.ts.idlen
if clid == 'cl:random':
cl = classification.random(N,min(N,MAX_n))
elif clid.startswith('cl:__digit:'):
cl = classification.random(N,min(int(classificationName)+2,MAX_n))
elif clid.startswith('cl:key_'):
C = Classification.get(classificationName[4:])
if C:
cl = classification.Classification(C.a)
elif clid:
C = Classification.get_by_key_name(clid)
if C:
cl = classification.Classification(C.a)
#if cl and clid != 'cl:random':
#if not memcache.add(clid, cl, 60):
# logging.error("Memcache set failed [ %s ]"%clid)
if not cl:
cl = classification.random(N,3)
self._cl = cl
if cl is not None:
return cl
else:
return False
