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+# python3
+# Copyright 2019 The gVisor Authors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+"""Machine abstraction passed to benchmarks to run docker containers.
+
+Abstraction for interacting with test machines. Machines are produced
+by Machine producers and represent a local or remote machine. Benchmark
+methods in /benchmarks/suite are passed the required number of machines in order
+to run the benchmark. Machines contain methods to run commands via bash,
+possibly over ssh. Machines also hold a connection to the docker UNIX socket
+to run contianers.
+
+ Typical usage example:
+
+ machine = Machine()
+ machine.run(cmd)
+ machine.pull(path)
+ container = machine.container()
+"""
+
+import logging
+import os
+import re
+import subprocess
+import time
+from typing import List, Tuple
+
+import docker
+
+from benchmarks import harness
+from benchmarks.harness import container
+from benchmarks.harness import machine_mocks
+from benchmarks.harness import ssh_connection
+from benchmarks.harness import tunnel_dispatcher
+
+log = logging.getLogger(__name__)
+
+
+class Machine(object):
+ """The machine object is the primary object for benchmarks.
+
+ Machine objects are passed to each metric function call and benchmarks use
+ machines to access real connections to those machines.
+
+ Attributes:
+ _name: Name as a string
+ """
+ _name = ""
+
+ def run(self, cmd: str) -> Tuple[str, str]:
+ """Convenience method for running a bash command on a machine object.
+
+ Some machines may point to the local machine, and thus, do not have ssh
+ connections. Run runs a command either local or over ssh and returns the
+ output stdout and stderr as strings.
+
+ Args:
+ cmd: The command to run as a string.
+
+ Returns:
+ The command output.
+ """
+ raise NotImplementedError
+
+ def read(self, path: str) -> str:
+ """Reads the contents of some file.
+
+ This will be mocked.
+
+ Args:
+ path: The path to the file to be read.
+
+ Returns:
+ The file contents.
+ """
+ raise NotImplementedError
+
+ def pull(self, workload: str) -> str:
+ """Send the given workload to the machine, build and tag it.
+
+ All images must be defined by the workloads directory.
+
+ Args:
+ workload: The workload name.
+
+ Returns:
+ The workload tag.
+ """
+ raise NotImplementedError
+
+ def container(self, image: str, **kwargs) -> container.Container:
+ """Returns a container object.
+
+ Args:
+ image: The pulled image tag.
+ **kwargs: Additional container options.
+
+ Returns:
+ :return: a container.Container object.
+ """
+ raise NotImplementedError
+
+ def sleep(self, amount: float):
+ """Sleeps the given amount of time."""
+ time.sleep(amount)
+
+ def __str__(self):
+ return self._name
+
+
+class MockMachine(Machine):
+ """A mocked machine."""
+ _name = "mock"
+
+ def run(self, cmd: str) -> Tuple[str, str]:
+ return "", ""
+
+ def read(self, path: str) -> str:
+ return machine_mocks.Readfile(path)
+
+ def pull(self, workload: str) -> str:
+ return workload # Workload is the tag.
+
+ def container(self, image: str, **kwargs) -> container.Container:
+ return container.MockContainer(image)
+
+ def sleep(self, amount: float):
+ pass
+
+
+def get_address(machine: Machine) -> str:
+ """Return a machine's default address."""
+ default_route, _ = machine.run("ip route get 8.8.8.8")
+ return re.search(" src ([0-9.]+) ", default_route).group(1)
+
+
+class LocalMachine(Machine):
+ """The local machine.
+
+ Attributes:
+ _name: Name as a string
+ _docker_client: a pythonic connection to to the local dockerd unix socket.
+ See: https://github.com/docker/docker-py
+ """
+
+ def __init__(self, name):
+ self._name = name
+ self._docker_client = docker.from_env()
+
+ def run(self, cmd: str) -> Tuple[str, str]:
+ process = subprocess.Popen(
+ cmd.split(" "), stdout=subprocess.PIPE, stderr=subprocess.PIPE)
+ stdout, stderr = process.communicate()
+ return stdout.decode("utf-8"), stderr.decode("utf-8")
+
+ def read(self, path: str) -> bytes:
+ # Read the exact path locally.
+ return open(path, "r").read()
+
+ def pull(self, workload: str) -> str:
+ # Run the docker build command locally.
+ logging.info("Building %s@%s locally...", workload, self._name)
+ with open(harness.LOCAL_WORKLOADS_PATH.format(workload),
+ "rb") as dockerfile:
+ self._docker_client.images.build(
+ fileobj=dockerfile, tag=workload, custom_context=True)
+ return workload # Workload is the tag.
+
+ def container(self, image: str, **kwargs) -> container.Container:
+ # Return a local docker container directly.
+ return container.DockerContainer(self._docker_client, get_address(self),
+ image, **kwargs)
+
+ def sleep(self, amount: float):
+ time.sleep(amount)
+
+
+class RemoteMachine(Machine):
+ """Remote machine accessible via an SSH connection.
+
+ Attributes:
+ _name: Name as a string
+ _ssh_connection: a paramiko backed ssh connection which can be used to run
+ commands on this machine
+ _tunnel: a python wrapper around a port forwarded ssh connection between a
+ local unix socket and the remote machine's dockerd unix socket.
+ _docker_client: a pythonic wrapper backed by the _tunnel. Allows sending
+ docker commands: see https://github.com/docker/docker-py
+ """
+
+ def __init__(self, name, **kwargs):
+ self._name = name
+ self._ssh_connection = ssh_connection.SSHConnection(name, **kwargs)
+ self._tunnel = tunnel_dispatcher.Tunnel(name, **kwargs)
+ self._tunnel.connect()
+ self._docker_client = self._tunnel.get_docker_client()
+ self._has_installers = False
+
+ def run(self, cmd: str) -> Tuple[str, str]:
+ return self._ssh_connection.run(cmd)
+
+ def read(self, path: str) -> str:
+ # Just cat remotely.
+ stdout, stderr = self._ssh_connection.run("cat '{}'".format(path))
+ return stdout + stderr
+
+ def install(self,
+ installer: str,
+ results: List[bool] = None,
+ index: int = -1):
+ """Method unique to RemoteMachine to handle installation of installers.
+
+ Handles installers, which install things that may change between runs (e.g.
+ runsc). Usually called from gcloud_producer, which expects this method to
+ to store results.
+
+ Args:
+ installer: the installer target to run.
+ results: Passed by the caller of where to store success.
+ index: Index for this method to store the result in the passed results
+ list.
+ """
+ # This generates a tarball of the full installer root (which will generate
+ # be the full bazel root directory) and sends it over.
+ if not self._has_installers:
+ archive = self._ssh_connection.send_installers()
+ self.run("tar -xvf {archive} -C {dir}".format(
+ archive=archive, dir=harness.REMOTE_INSTALLERS_PATH))
+ self._has_installers = True
+
+ # Execute the remote installer.
+ self.run("sudo {dir}/{file}".format(
+ dir=harness.REMOTE_INSTALLERS_PATH, file=installer))
+
+ if results:
+ results[index] = True
+
+ def pull(self, workload: str) -> str:
+ # Push to the remote machine and build.
+ logging.info("Building %s@%s remotely...", workload, self._name)
+ remote_path = self._ssh_connection.send_workload(workload)
+ remote_dir = os.path.dirname(remote_path)
+ # Workloads are all tarballs.
+ self.run("tar -xvf {remote_path} -C {remote_dir}".format(
+ remote_path=remote_path, remote_dir=remote_dir))
+ self.run("docker build --tag={} {}".format(workload, remote_dir))
+ return workload # Workload is the tag.
+
+ def container(self, image: str, **kwargs) -> container.Container:
+ # Return a remote docker container.
+ return container.DockerContainer(self._docker_client, get_address(self),
+ image, **kwargs)
+
+ def sleep(self, amount: float):
+ time.sleep(amount)