gvisor/benchmarks/harness/machine_producers/yaml_producer.py

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# python3
# Copyright 2019 Google LLC
#
# 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.
"""Producers based on yaml files."""
import os
import threading
from typing import Dict
from typing import List
import yaml
from benchmarks.harness import machine
from benchmarks.harness.machine_producers import machine_producer
class YamlMachineProducer(machine_producer.MachineProducer):
"""Loads machines from a yaml file."""
def __init__(self, path: str):
self.machines = build_machines(path)
self.max_machines = len(self.machines)
self.machine_condition = threading.Condition()
def get_machines(self, num_machines: int) -> List[machine.Machine]:
if num_machines > self.max_machines:
raise ValueError(
"Insufficient Ammount of Machines. {ask} asked for and have {max_num} max."
.format(ask=num_machines, max_num=self.max_machines))
with self.machine_condition:
while not self._enough_machines(num_machines):
self.machine_condition.wait(timeout=1)
return [self.machines.pop(0) for _ in range(num_machines)]
def release_machines(self, machine_list: List[machine.Machine]):
with self.machine_condition:
while machine_list:
next_machine = machine_list.pop()
self.machines.append(next_machine)
self.machine_condition.notify()
def _enough_machines(self, ask: int):
return ask <= len(self.machines)
def build_machines(path: str, num_machines: str = -1) -> List[machine.Machine]:
"""Builds machine objects defined by the yaml file "path".
Args:
path: The path to a yaml file which defines machines.
num_machines: Optional limit on how many machine objects to build.
Returns:
Machine objects in a list.
If num_machines is set, len(machines) <= num_machines.
"""
data = parse_yaml(path)
machines = []
for key, value in data.items():
if len(machines) == num_machines:
return machines
if isinstance(value, dict):
machines.append(machine.RemoteMachine(key, **value))
else:
machines.append(machine.LocalMachine(key))
return machines
def parse_yaml(path: str) -> Dict[str, Dict[str, str]]:
"""Parse the yaml file pointed by path.
Args:
path: The path to yaml file.
Returns:
The contents of the yaml file as a dictionary.
"""
data = get_file_contents(path)
return yaml.load(data, Loader=yaml.Loader)
def get_file_contents(path: str) -> str:
"""Dumps the file contents to a string and returns them.
Args:
path: The path to dump.
Returns:
The file contents as a string.
"""
if not os.path.isabs(path):
path = os.path.abspath(path)
with open(path) as input_file:
return input_file.read()