ShieldDB/flush_shared_cache.py at master · MonashCybersecurityLab/ShieldDB · GitHub

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import copy, os
from multiprocessing import Lock
import utilities
# A Orchestrator is a proxying manager manages the shared cache data between processes.
# Orchestrator  is managed by an internal server process


class Orchestrator(object):

    def __init__(self, number_clusters):
        self.cached_data_clusters = [{} for _ in range(number_clusters)]
        self.lock = Lock()

    def getClusterByIndex(self, cluster_index):
        self.lock.acquire()
        img = copy.deepcopy(self.cached_data_clusters[cluster_index])
        self.lock.release()
        return img

    def getAllLocalCacheWithoutLock(self):
        self.lock.acquire()
        img = copy.deepcopy(self.cached_data_clusters)
        self.lock.release()
        utilities.dump_data_to_file(img, "tmp", "cache")
        content = self.getClusterSizeAllWithoutLock()
        print("Cache pairs " + str(content))
        print("Cache (mb) " + str(os.path.getsize(os.path.join("tmp", "cache"))/(1024*1024.0)))

    def getClusterSizeByIndex(self,cluster_index):

        temp_size = 0
        self.lock.acquire()
        for _,value in self.cached_data_clusters[cluster_index].items():
            temp_size += len(value)
        self.lock.release()
        return temp_size

    def getClusterSizeAll(self):

        cur_size = []
        self.lock.acquire()
        for cluster_index in range(len(self.cached_data_clusters)):
            temp_size = 0
            for _, value in self.cached_data_clusters[cluster_index].items():
                temp_size += len(value)
            cur_size.append(temp_size)

        self.lock.release()
        return cur_size

    def getClusterSizeAllWithoutLock(self):

        cur_size = []
        for cluster_index in range(len(self.cached_data_clusters)):
            temp_size = 0
            for _, value in self.cached_data_clusters[cluster_index].items():
                temp_size += len(value)
            cur_size.append(temp_size)

        # print("Test " + str(cur_size))
        return sum(cur_size)

    def getClusterKeyNum(self):
        cur_size = []
        self.lock.acquire()
        for cluster_index in range(len(self.cached_data_clusters)):
            cur_size.append(len(self.cached_data_clusters[cluster_index]))

        self.lock.release()
        return cur_size

    def clearClusterByIndex(self, cluster_index):
        self.lock.acquire()
        self.cached_data_clusters[cluster_index].clear()
        self.lock.release()

    def readCacheSizeAll(self):
        self.lock.acquire()
        count = 0
        for cluster_index in range(len(self.cached_data_clusters)):
            count += len(self.cached_data_clusters[cluster_index])
        self.lock.release()
        return count

    def updateEntriesByDocument(self, keyword, docId, cluster_index):
        self.lock.acquire()
        if keyword in self.cached_data_clusters[cluster_index]:
            self.cached_data_clusters[cluster_index][keyword].add(docId)
        else:
            self.cached_data_clusters[cluster_index][keyword] = set([docId])
        self.lock.release()

    def updateClusterEntries(self, key_id_pairs):  # (keyword,id,cluster_index)
        self.lock.acquire()
        for (keyword, docId, cluster_index) in key_id_pairs:
            if cluster_index in self.limited_indices:
                index_in_cap = self.limited_indices.index(cluster_index)
                cur_threshold = self.limited_capacities[index_in_cap]
                cur_cap = 0
                for _, value in self.cached_data_clusters[cluster_index].items():
                    cur_cap += len(value)
                if cur_cap < cur_threshold:
                    if keyword in self.cached_data_clusters[cluster_index]:
                        self.cached_data_clusters[cluster_index][keyword].add(docId)
                    else:
                        self.cached_data_clusters[cluster_index][keyword] = set([docId])
            else:
                if keyword in self.cached_data_clusters[cluster_index]:
                    self.cached_data_clusters[cluster_index][keyword].add(docId)
                else:
                    self.cached_data_clusters[cluster_index][keyword] = set([docId])
        self.lock.release()

    def updateClusterByIndex(self, cluster_index, falling_back_data):
        self.lock.acquire()
        for keyword, ids in falling_back_data.items():
            if keyword in self.cached_data_clusters[cluster_index]:
                for docId in ids:
                    self.cached_data_clusters[cluster_index][keyword].add(docId)
            else:
                self.cached_data_clusters[cluster_index][keyword] = set([])
                for docId in ids:
                    self.cached_data_clusters[cluster_index][keyword].add(docId)

        self.lock.release()

    def search_local_cache(self, keyword):
        for cluster in self.cached_data_clusters:
            if keyword in cluster:
                return cluster[keyword]
        return None

    def setClusterCap(self, limited_indices, limited_capacities):
        self.limited_indices = limited_indices
        self.limited_capacities = limited_capacities