我想在运行时创建from(URI)。我正在使用twitter-component来获取用户时间轴的推文。我希望从传入消息的正文中获取用户的用户名。
from("direct:twitterinternal") // body contains username as string
.from("twitter://timeline/user?type=direct&user=" + "${body}")
camel是否提供了在运行时创建URI的可能性?
答案 0 :(得分:2)
我通常将recipientList模式和simple表达式语言用于动态生成器路由......
from pylab import *
import multiprocessing as mp
from scipy.integrate import odeint
import time
#my system of differential equations
def myODE (yn,tvec,allpara):
(x, y, z) = yn
a, b = allpara['para']
dx = -x + a*y + x*x*y
dy = b - a*y - x*x*y
dz = x*y
return (dx, dy, dz)
#returns the index of the parameter combination, the parameters and the integrated solution
#this way I know which parameter combination belongs to which outcome in the asynch-case
def runMyODE(yn,tvec,allpara):
return allpara['index'],allpara['para'],transpose(odeint(myODE, yn, tvec, args=(allpara,)))
#for reproducibility
seed(0)
#time settings for integration
dt = 0.01
tmax = 50
tval = arange(0,tmax,dt)
numVar = 3 #number of variables (x, y, z)
numPar = 2 #number of parameters (a, b)
numComb = 5 #number of parameter combinations
INIT = zeros((numComb,numVar)) #initial conditions will be stored here
PARA = zeros((numComb,numPar)) #parameter combinations for a and b will be stored here
#create some initial conditions and random parameters
for combi in range(numComb):
INIT[combi,:] = append(10*rand(2),0) #initial conditions for x and y are randomly chosen, z is 0
PARA[combi,:] = 10*rand(2) #parameter a and b are chosen randomly
#################################using loop over apply####################
#results will be stored in here
asyncResultsApply = []
#my callback function
def saveResultApply(result):
# storing the index, a, b and the final value of z
asyncResultsApply.append((result[0], result[1], result[2][2,-1]))
#start the multiprocessing part
pool = mp.Pool(processes=4)
for combi in range(numComb):
pool.apply_async(runMyODE, args=(INIT[combi,:],tval,{'para': PARA[combi,:], 'index': combi}), callback=saveResultApply)
pool.close()
pool.join()
for res in asyncResultsApply:
print res[0], res[1], res[2] #printing the index, a, b and the final value of z
#######################################using map#####################
#the only difference is that the for loop is replaced by a "map_async" call
print "\n\nnow using map\n\n"
asyncResultsMap = []
#my callback function which is never called
def saveResultMap(result):
# storing the index, a, b and the final value of z
asyncResultsMap.append((result[0], result[1], result[2][2,-1]))
pool = mp.Pool(processes=4)
pool.map_async(lambda combi: runMyODE(INIT[combi,:], tval, {'para': PARA[combi,:], 'index': combi}), range(numComb), callback=saveResultMap)
pool.close()
pool.join()
#this does not work yet
for res in asyncResultsMap:
print res[0], res[1], res[2] #printing the index, a, b and the final value of z
否则,对于动态消费,您有两个选择:
答案 1 :(得分:-1)
骆驼2.16或更高?试试toD
。