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Python Database.get_available_machines方法代码示例

本文整理汇总了Python中lib.cuckoo.core.database.Database.get_available_machines方法的典型用法代码示例。如果您正苦于以下问题:Python Database.get_available_machines方法的具体用法?Python Database.get_available_machines怎么用?Python Database.get_available_machines使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在lib.cuckoo.core.database.Database的用法示例。


在下文中一共展示了Database.get_available_machines方法的1个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。

示例1: __init__

# 需要导入模块: from lib.cuckoo.core.database import Database [as 别名]
# 或者: from lib.cuckoo.core.database.Database import get_available_machines [as 别名]

#.........这里部分代码省略.........

    def stop(self):
        """Stop scheduler."""
        self.running = False
        # Shutdown machine manager (used to kill machines that still alive).
        machinery.shutdown()

    def start(self):
        """Start scheduler."""
        self.initialize()

        log.info("Waiting for analysis tasks.")

        # Message queue with threads to transmit exceptions (used as IPC).
        errors = Queue.Queue()

        # Command-line overrides the configuration file.
        if self.maxcount is None:
            self.maxcount = self.cfg.cuckoo.max_analysis_count

        # This loop runs forever.
        while self.running:
            time.sleep(1)

            # Wait until the machine lock is not locked. This is only the case
            # when all machines are fully running, rather that about to start
            # or still busy starting. This way we won't have race conditions
            # with finding out there are no available machines in the analysis
            # manager or having two analyses pick the same machine.
            if not machine_lock.acquire(False):
                continue

            machine_lock.release()

            # If not enough free disk space is available, then we print an
            # error message and wait another round (this check is ignored
            # when the freespace configuration variable is set to zero).
            if self.cfg.cuckoo.freespace:
                # Resolve the full base path to the analysis folder, just in
                # case somebody decides to make a symbolic link out of it.
                dir_path = os.path.join(CUCKOO_ROOT, "storage", "analyses")

                # TODO: Windows support
                if hasattr(os, "statvfs"):
                    dir_stats = os.statvfs(dir_path)

                    # Calculate the free disk space in megabytes.
                    space_available = dir_stats.f_bavail * dir_stats.f_frsize
                    space_available /= 1024 * 1024

                    if space_available < self.cfg.cuckoo.freespace:
                        log.error("Not enough free disk space! (Only %d MB!)",
                                  space_available)
                        continue

            # Have we limited the number of concurrently executing machines?
            if self.cfg.cuckoo.max_machines_count > 0:
                # Are too many running?
                if len(machinery.running()) >= self.cfg.cuckoo.max_machines_count:
                    continue

            # If no machines are available, it's pointless to fetch for
            # pending tasks. Loop over.
            if not machinery.availables():
                continue

            # Exits if max_analysis_count is defined in the configuration
            # file and has been reached.
            if self.maxcount and self.total_analysis_count >= self.maxcount:
                if active_analysis_count <= 0:
                    log.debug("Reached max analysis count, exiting.")
                    self.stop()
                continue

            # Fetch a pending analysis task.
            # TODO This fixes only submissions by --machine, need to add
            # other attributes (tags etc).
            # TODO We should probably move the entire "acquire machine" logic
            # from the Analysis Manager to the Scheduler and then pass the
            # selected machine onto the Analysis Manager instance.
            for machine in self.db.get_available_machines():

                task = self.db.fetch(machine=machine.name)
                if task:
                    log.debug("Processing task #%s", task.id)
                    self.total_analysis_count += 1

                    # Initialize and start the analysis manager.
                    analysis = AnalysisManager(task, errors)
                    analysis.daemon = True
                    analysis.start()
                    break

            # Deal with errors.
            try:
                raise errors.get(block=False)
            except Queue.Empty:
                pass

        log.debug("End of analyses.")
开发者ID:Sunrel,项目名称:cuckoo,代码行数:104,代码来源:scheduler.py


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