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Diffstat (limited to 'benchmarks/harness/machine.py')
-rw-r--r-- | benchmarks/harness/machine.py | 265 |
1 files changed, 265 insertions, 0 deletions
diff --git a/benchmarks/harness/machine.py b/benchmarks/harness/machine.py new file mode 100644 index 000000000..5bdc4aa85 --- /dev/null +++ b/benchmarks/harness/machine.py @@ -0,0 +1,265 @@ +# 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) |