PyCS/pycs/util/PipelineCache.py

from queue import Queue
from threading import Lock
from time import time, sleep

from eventlet import tpool, spawn_n

from pycs.database.Project import Project
from pycs.interfaces.Pipeline import Pipeline
from pycs.jobs.JobRunner import JobRunner
from pycs.util.PipelineUtil import load_from_root_folder


class PipelineCache:
    CLOSE_TIMER = 120

    def __init__(self, jobs: JobRunner):
        self.__jobs = jobs

        self.__pipelines = {}
        self.__queue = Queue()
        self.__lock = Lock()

        spawn_n(self.__run)

    def load_from_root_folder(self, project: Project, root_folder: str) -> Pipeline:
        """
        load configuration.json and create an instance from the included code object

        :param project: associated project
        :param root_folder: path to model root folder
        :return: Pipeline instance
        """
        # check if instance is cached
        with self.__lock:
            if root_folder in self.__pipelines:
                instance = self.__pipelines[root_folder]

                # increase reference counter
                instance[0] += 1

                # return instance
                return instance[1]

        # load pipeline
        pipeline = load_from_root_folder(root_folder)

        # save instance to cache
        with self.__lock:
            self.__pipelines[root_folder] = [1, pipeline, project]

        # return
        return pipeline

    def free_instance(self, root_folder: str):
        """
        Change an instance's status to unused and start the timer to call it's `close` function
        after `CLOSE_TIMER` seconds. The next call to `load_from_root_folder` in this interval
        will disable this timer.

        :param root_folder: path to model root folder
        """
        # abort if no pipeline with this root folder is loaded
        with self.__lock:
            if root_folder not in self.__pipelines:
                return

        # start timeout
        timestamp = time()
        self.__queue.put((root_folder, timestamp))

    def __get(self):
        while True:
            # get element from queue
            root_folder, timestamp = self.__queue.get()

            # sleep if needed
            delay = int(timestamp + self.CLOSE_TIMER - time())

            if delay > 0:
                sleep(delay)

            # lock and access __pipelines
            with self.__lock:
                instance = self.__pipelines[root_folder]

                # reference counter greater than 1
                if instance[0] > 1:
                    # decrease reference counter
                    instance[0] -= 1

                # reference counter equals 1
                else:
                    # delete instance from __pipelines and return to call `close` function
                    del self.__pipelines[root_folder]
                    return instance[1], instance[2]

    def __run(self):
        while True:
            # get pipeline
            pipeline, project = tpool.execute(self.__get)

            # create job to close pipeline
            self.__jobs.run(project,
                            'Model Interaction',
                            f'{project.name} (close pipeline)',
                            f'{project.name}/model-interaction',
                            pipeline.close
                            )