self.q.sync('.u.upd', numpy.string_('ask'), self.get_ask_data())
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qpython is a good choice. There's an example of publishing to a tickerplant here:
http://qpython.readthedocs.io/en/latest/usage-examples.html#data-publisher
In this case, the line doing the publishing (i.e. calling .u.upd in the TP process) into the 'ask' table is:self.q.sync('.u.upd', numpy.string_('ask'), self.get_ask_data())
On 10 May 2017 at 04:30, <hzad...@gmail.com> wrote:
Hi,So far, I'm trying to use qpython to make the connection. and then, require data from kdb+.The 3rd step is feed real time data into TP.How about other opinions?RegardsZheng
On Tuesday, 9 May 2017 15:17:21 UTC+8, hzad...@gmail.com wrote:Hi, Masters:I had completed the test of kdb+tick demo. And completed the workflow of using PyRFA to get Realtime data from TREP(Thomson Reuters's system to provide data). According to the kdb+tick demo, the data was simulated by feedsim which is a q script to generate data, it's easy to understand and implement the connection to TickerPlant. But one thing I don't konw how to resolve is how to feed the realtime data to TickerPlant with Python platform?Many thanks for your suggestions!ThanksZheng
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