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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,76 @@ | ||
| import multiprocessing as mp | ||
|
|
||
| from ocrd_utils import config, initLogging | ||
|
|
||
| class KrakenPredictor(mp.context.SpawnProcess): | ||
| def __init__(self, logger, parameter): | ||
| self.logger = logger | ||
| self.parameter = parameter | ||
| ctxt = mp.get_context('spawn') | ||
| self.taskq = ctxt.Queue(maxsize=1 + config.OCRD_MAX_PARALLEL_PAGES) | ||
| self.resultq = ctxt.Queue(maxsize=1 + config.OCRD_MAX_PARALLEL_PAGES) | ||
| self.terminate = ctxt.Event() | ||
| ctxt = mp.get_context('fork') # base.Processor will fork workers | ||
| self.results = ctxt.Manager().dict() | ||
| super().__init__() | ||
| self.daemon = True | ||
| def __call__(self, page_id, *page_input): | ||
| self.taskq.put((page_id, page_input)) | ||
| self.logger.debug("sent task for '%s'", page_id) | ||
| #return self.get(page_id) | ||
| result = self.get(page_id) | ||
| self.logger.debug("received result for '%s'", page_id) | ||
| return result | ||
| def get(self, page_id): | ||
| while not self.terminate.is_set(): | ||
| if page_id in self.results: | ||
| result = self.results.pop(page_id) | ||
| if isinstance(result, Exception): | ||
| raise Exception(f"predictor failed for {page_id}") from result | ||
| return result | ||
| try: | ||
| page_id, result = self.resultq.get(timeout=0.7) | ||
| except mp.queues.Empty: | ||
| continue | ||
| self.logger.debug("storing results for '%s'", page_id) | ||
| self.results[page_id] = result | ||
| raise Exception(f"predictor terminated while waiting on results for {page_id}") | ||
| def run(self): | ||
| initLogging() | ||
| try: | ||
| self.setup() | ||
| except Exception as e: | ||
| self.logger.exception("setup failed") | ||
| self.terminate.set() | ||
| while not self.terminate.is_set(): | ||
| try: | ||
| page_id, page_input = self.taskq.get(timeout=1.1) | ||
| except mp.queues.Empty: | ||
| continue | ||
| self.logger.debug("predicting '%s'", page_id) | ||
| try: | ||
| page_output = self.predict(*page_input) | ||
| except Exception as e: | ||
| self.logger.error("prediction failed: %s", e.__class__.__name__) | ||
| page_output = e | ||
| self.resultq.put((page_id, page_output)) | ||
| self.logger.debug("sent result for '%s'", page_id) | ||
| self.resultq.close() | ||
| self.resultq.cancel_join_thread() | ||
| self.logger.debug("predictor terminated") | ||
| def setup(self): | ||
| raise NotImplementedError() | ||
| def predict(self, *inputs): | ||
| raise NotImplementedError() | ||
| def shutdown(self): | ||
| # do not terminate from forked processor instances | ||
| if mp.parent_process() is None: | ||
| self.terminate.set() | ||
| self.taskq.close() | ||
| self.taskq.cancel_join_thread() | ||
| self.logger.debug(f"terminated {self} in {mp.current_process().name}") | ||
| else: | ||
| self.logger.debug(f"not touching {self} in {mp.current_process().name}") | ||
| def __del__(self): | ||
| self.logger.debug(f"deinit of {self} in {mp.current_process().name}") | ||
| self.shutdown() |
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