network.py 文件源码

python
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项目:batch-scoring 作者: datarobot 项目源码 文件源码
def perform_requests(self):
        signal.signal(signal.SIGINT, self.exit_fast)
        signal.signal(signal.SIGTERM, self.exit_fast)

        self.state = b'E'
        for q_batch in self.get_batch():
            for (batch, data) in self.split_batch(q_batch):

                hook = partial(self._response_callback, batch=batch)
                r = requests.Request(
                    method='POST',
                    url=self.endpoint,
                    headers=self.headers,
                    data=data,
                    auth=(self.user, self.api_token),
                    hooks={'response': hook})

                self.n_requests += 1

                while True:
                    self.futures = [i for i in self.futures if not i.done()]
                    if len(self.futures) < self.concurrency:
                        self.state = b'R'
                        f = self._executor.submit(self._request, r)
                        f.add_done_callback(self.request_cb)
                        self.futures.append(f)
                        break
                    else:
                        self.state = b'F'
                        wait(self.futures, return_when=FIRST_COMPLETED)
                yield
        #  wait for all batches to finish before returning
        self.state = b'W'
        while self.futures:
            f_len = len(self.futures)
            self.futures = [i for i in self.futures if not i.done()]
            if f_len != len(self.futures):
                self.ui.debug('Waiting for final requests to finish. '
                              'remaining requests: {}'
                              ''.format(len(self.futures)))
            wait(self.futures, return_when=FIRST_COMPLETED)
        self.state = b'D'
        yield True
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