shlax/README.md
2020-05-31 00:10:57 +02:00

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# Shlax: Pythonic automation tool
Shlax is a Python framework for system automation, initially with the purpose
of replacing docker, docker-compose and ansible with a single tool with the
purpose of code-reuse made possible by target abstraction.
The pattern resolves around two moving parts: Actions and Targets.
## Action
An action is a function that takes a target argument, it may execute nested
actions by passing over the target argument which collects the results.
Example:
```python
async def hello_world(target):
"""Bunch of silly commands to demonstrate action programming."""
await target.mkdir('foo')
python = await target.which('python3', 'python')
await target.exec(f'{python} --version > foo/test')
version = target.exec('cat foo/test').output
print('version')
```
### Recursion
An action may call other actions recursively. There are two ways:
```python
async def something(target):
# just run the other action code
hello_world(target)
# or delegate the call to target
target(hello_world)
```
In the first case, the resulting count of ran actions will remain 1:
"something" action.
In the second case, the resulting count of ran actions will be 2: "something"
and "hello_world".
### Callable classes
Actually in practice, Actions are basic callable Python classes, here's a basic
example to run a command:
```python
class Run:
def __init__(self, cmd):
self.cmd = cmd
async def __call__(self, target):
return await target.exec(self.cmd)
```
This allows to create callable objects which may be called just like functions
and as such be appropriate actions, instead of:
```python
async def one(target):
target.exec('one')
async def two(target):
target.exec('two')
```
You can do:
```python
one = Run('one')
two = Run('two')
```
### Parallel execution
Actions may be executed in parallel with an action named ... Parallel. This
defines an action that will execute three actions in parallel:
```python
action = Parallel(
hello_world,
something,
Run('echo hi'),
)
```
In this case, all actions must succeed for the parallel action to be considered
a success.
### Methods
An action may also be a method, as long as it just takes a target argument, for
example:
```python
class Thing:
def start(self, target):
"""Starts thing"""
def stop(self, target):
"""Stops thing"""
action = Thing().start
```
### Cleaning
If an action defines a `clean` method, it will always be called wether or not
the action succeeded. Example:
```python
class Thing:
def __call__(self, target):
"""Do some thing"""
def clean(self, target):
"""Clean-up target after __call__"""
```
### Colorful actions
If an action defines a `colorize` method, it will be called with the colorset
as argument for every output, this allows to code custom output rendering.
## Target
A Target is mainly an object providing an abstraction layer over the system we
want to automate with actions. It defines functions to execute a command, mount
a directory, copy a file, manage environment variables and so on.
### Pre-configuration
A Target can be pre-configured with a list of Actions in which case calling the
target without argument will execute its Actions until one fails by raising an
Exception:
```python
say_hello = Localhost(
hello_world,
Run('echo hi'),
)
await say_hello()
```
### Results
Every time a target execute an action, it will set the "status" attribute on it
to "success" or "failure", and add it to the "results" attribute:
```python
say_hello = Localhost(Run('echo hi'))
await say_hello()
say_hello.results # contains the action with status="success"
```
## Targets as Actions: the nesting story
We've seen that any callable taking a target argument is good to be considered
an action, and that targets are callables.
To make a Target runnable like any action, all we had to do is add the target
keyword argument to `Target.__call__`.
But `target()` fills `self.results`, so nested action results would not
propagate to the parent target.
That's why if Target receives a non-None target argument, it will has to set
`self.parent` with it.
This allows nested targets to traverse parents and get to the root Target
with `target.caller`, where it can then attach results to.
This opens the nice side effect that a target implementation may call the
parent target if any, you could write a Docker target as such:
```python
class Docker(Target):
def __init__(self, *actions, name):
self.name = name
super().__init__(*actions)
async def exec(self, *args):
return await self.parent.exec(*['docker', 'exec', self.name] + args)
```
This also means that you always need a parent with an exec implementation,
there are two:
- Localhost, executes on localhost
- Stub, for testing
The result of that design is that the following use cases are available:
```python
# This action installs my favorite package on any distro
action = Packages('python3')
# Run it right here: apt install python3
Localhost()(action)
# Or remotely: ssh yourhost apt install python3
Ssh(host='yourhost')(action)
# Let's make a container build receipe with that action
build = Buildah(package)
# Run it locally: buildah exec apt install python3
Localhost()(build)
# Or on a server: ssh yourhost build exec apt install python3
Ssh(host='yourhost')(build)
# Or on a server behingh a bastion:
# ssh yourbastion ssh yourhost build exec apt install python3
Localhost()(Ssh(host='bastion')(Ssh(host='yourhost')(build))
# That's going to do the same
Localhost(Ssh(
Ssh(
build,
host='yourhost'
),
host='bastion'
))()
```
## CLI
You can execute Shlax actions directly on the command line with the `shlax` CLI
command.
For your own Shlaxfiles, you can build your CLI with your favorite CLI
framework. If you decide to use `cli2`, then Shlax provides a thin layer on top
of it: Group and Command objects made for Shlax objects.
For example:
```python
yourcontainer = Container(
build=Buildah(
User('app', '/app', 1000),
Packages('python', 'unzip', 'findutils'),
Copy('setup.py', 'yourdir', '/app'),
base='archlinux',
commit='yourimage',
),
)
if __name__ == '__main__':
print(Group(doc=__doc__).load(yourcontainer).entry_point())
```
The above will execute a cli2 command with each method of yourcontainer as a
sub-command.