Extends SCons to build targets in remote environments.
Project description
scons-remote
The goal of scons-remote is to extend the SCons build tool to support building targets in remote compute environments (via AWS EC2). Because scons-remote is built entirely on base SCons classes, it achieves this goal while maintaining the robustness/flexibility of standard SCons builds.
Installation
pip install scons-remote
Usage
The primary contribution of scons-remote is the EnvironmentRemote
class
which is built on top of the base SCons Environment
class. This class
implements a remote extension of the base Command
method as well as
methods/attributes to manage the remote execution environment and how targets
are built within it.
Initializing Remote Connection
In order to correctly instantiate a remote compute node via AWS EC2
we need to initialize the connection parameters at the beginning of
the SConstruct
script.
The connection_initialize
method allows us to do this via the
following arguments:
- client_args: A dictionary of arguments that is passed verbatim to
boto3.client
to create an EC2 client. - instance_args: A dictionary of arguments that is passed verbatim to
the client's
run_instances
method. - ssh_args: A dictionary of arguments that is passed verbatim to
fabric.connection.Connection
.
The following shows how a simple remote configuration might be initialized
in the SConstruct
script:
import os
from scons_remote.environment_remote import EnvironmentRemote
env = EnvironmentRemote(ENV=os.environ)
client_args = {
'region_name': 'us-west-2'
}
instance_args = {
'ImageId': 'ami-xxxxxxxxxx',
'InstanceType': 't2.large',
'KeyName': 'xxxxxxx',
'MaxCount': 1,
'MinCount': 1,
'InstanceInitiatedShutdownBehavior': 'terminate'
}
ssh_args = {
'user': 'ubuntu',
'connect_kwargs': {
'key_filename': 'path/to/private/key.pem'
}
}
env.connection_initialize(client_args, instance_args, ssh_args)
Building Targets Remotely
The base SCons Environment.Command
method provides a flexible way of building
targets using generic commands. The general formatting of building a target with
Command
would look something like the following:
import os
env=Environment(ENV=os.environ)
env.Command(
target='foo.bar',
source='foo_bar.py',
action='python $SOURCES $TARGETS'
)
Translating the prior chunk to build the target using scons-remote would be quite simple:
import os
from scons_remote.environment_remote import EnvironmentRemote
env=EnvironmentRemote(ENV=os.environ)
env.CommandRemote(
target='foo.bar',
source='foo_bar.py',
action=env.ActionRemote(cmd='python')
)
The only substantive difference between these two methods of building targets is that
CommandRemote
requires that the specified action is created using the environment's
ActionRemote
method whereas the base Command
method accepts a string or a callable Python object.
Remote Actions
Constructing a remote action is straightforward; ActionRemote
accepts the following arguments:
- cmd: A string specifying the command to execute
- cmd_args: A string or list of strings specifying command line arguments
to be passed to
cmd
.
For example, consider the following action passed to Command
:
env.Command(
...
action='python3 -B -v $SOURCES $TARGETS'
)
The same action translated for CommandRemote
would be:
env.CommandRemote(
...
action=env.ActionRemote(cmd='python3', cmd_args=['-B', '-v'])
)
Full SConstruct Example
Combining the initialization step and the target building step described above, the full SConstruct
script for building foo.bar
would look as follows:
import os
from scons_remote.environment_remote import EnvironmentRemote
env = EnvironmentRemote(ENV=os.environ)
client_args = {
'region_name': 'us-west-2'
}
instance_args = {
'ImageId': 'ami-xxxxxxxxxx',
'InstanceType': 't2.large',
'KeyName': 'xxxxxxx',
'MaxCount': 1,
'MinCount': 1,
'InstanceInitiatedShutdownBehavior': 'terminate'
}
ssh_args = {
'user': 'ubuntu',
'connect_kwargs': {
'key_filename': 'path/to/private/key.pem'
}
}
env.connection_initialize(client_args, instance_args, ssh_args)
env.CommandRemote(
target='foo.bar',
source='foo_bar.py',
action=env.ActionRemote(cmd='python')
)
And voilà, the target has been built via AWS!
Force Targets to be Built Locally
In some cases it may be convenient to create an SConstruct
file that invokes CommandRemote
but still have
the ability to force all targets to be built locally. To accomodate this, scons-remote respects the
SCONS_REMOTE_MODE
environment variable set to 'local'. If this variable is unset or any other value,
scons-remote will simply ignore it.
To set this in Linux enter the following:
export SCONS_REMOTE_MODE=local
And in PowerShell:
$env:SCONS_REMOTE_MODE="local"
⚠️Known Issues/Shortcomings⚠️
The following is a short list of known issues/shortcomings when using scons-remote (more will probably surface):
- AWS Credentials Timeout: If your AWS credentials that are being passed to boto3 are of the expiring-after-one-hour variety, long-running pipelines (greater than one hour) will lose the ability to manage AWS resources and will error out if any targets are attempted to be built after that point. However, any targets that are already building should continue their build successfully.
- Forcing Targets to Build Locally: Say you have forced all targets to be built locally (as described above).
When you unset the
SCONS_REMOTE_MODE
environment variable, SCons will not recognize the targets as already built and will re-build them remotely. This is because, under the hood, scons-remote is using two different builder actions which SCons recognizes and instructs that the targets be re-built. The converse action (switching from remote to local) will have the same behavior. - Matching Local and Remote Compute Environments: Currently scons-remote does no checking of the remote compute environment to ensure that it has the necessary dependencies/tools required to successfully build the targets. This falls entirely on the user to ensure that their AMI is compatible with their use-case.
Contributors
- Daniel Molitor
- Mark Howison
License
scons-remote is freely available for non-commercial use under the license provided in LICENSE. To inquire about commercial use, please contact connect@ripl.org.
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