def server(outputfile='test.h5', configPath='parameters.yaml'):
"""Server"""
config = yaml.load(open(configPath))
descr = yaml.dump(config)
print descr
config['descr'] = descr
sourceTable = readSourcesTable(config["sourcesPath"])
carbonSources = [elem[0] for elem in sourceTable if elem[1] == 1]
sources2sig = dict([(row[0], tuple(row[1:]))for row in sourceTable])
combSources = list(combinatoricalSources(sourceTable, carbonSources))
gen = generateCombinatoricalMedia(config["uptake"], combSources)
lp = Metabolism(ImportCplex(config["path2model"]))
simulationStorage = generateStorageObject(outputfile, lp)
inputQueue = Queue.Queue(20)
outputQueue = Queue.Queue(20)
# gen2 = (config["medium"] = elem for elem in gen)
gen2 = stub(gen, config)
t1 = GeneratorInputClient(inputQueue, gen2)
t1.start()
time.sleep(1)
t2 = h5OutputClient(outputQueue, simulationStorage)
t2.start()
time.sleep(1)
s = Server(inputQueue=inputQueue, outputQueue=outputQueue, host="localhost")
print s
s.run()
def server(outputfile='test.h5', config='parameters.yaml'):
"""Server"""
config = readYamlConfig(config)
descr = yaml.dump(config)
print descr
config['descr'] = descr
randomSimulationsObj = generateRandomMediaObject(**config)
lp = Metabolism(ImportCplex(config['path']))
simulationStorage = generateStorageObject(outputfile, lp)
inputQueue = Queue.Queue(20)
outputQueue = Queue.Queue(20)
t1 = configInputClient(inputQueue, config)
t1.start()
time.sleep(1)
t2 = h5OutputClient(outputQueue, simulationStorage)
t2.start()
s = Server(inputQueue=inputQueue, outputQueue=outputQueue, host="localhost")
print s
s.run()