Skip to main content
Chimney
=======

You may need a coffeescript compile, a browserify transform and then
want to run uglify to minimize the source for production javascript
files. Or a maybe a SASS compile and minimization.

Chimney is a simple build system primarily intended for web
assets. There are many build systems and most asset compilers are
capable of watching for changes, but it becomes difficult to manage
when more steps are added to the pipeline.

Compilers
---------

At each step of the process, there is some input, some output and a
transformation process. Chimney simply calls these "compilers" for
simplicity, but they can be any kind of Python code.

To declare a new type of compiler, define a subclass of ``Compiler``:

```python
from chimney.compilers import Compiler

class coffee(Compiler):
def run(self):
# perform compile
```

Targets
-------

Targets are the goal of compilation. This might be a final executable
or an combined javascript file for a page.

Here is an example of a javascript target that needs to be built from
several coffee files (this is using the above compiler):

```python
import chimney

chimney.make(
coffee('smoke.js', ['wood.coffee', 'fire.coffee']),
)
```

This will compile each of the .coffee dependencies to their .js output
forms using the ``coffee`` compiler defined above, then combine those
files into ``smoke.js``.

Next, there should be a step to minify ``smoke.js`` if needed. That's
easy with chimney, simply add another task to the above definition:

```python
chimney.make(
coffee('smoke.js', ['wood.coffee', 'fire.coffee']),
uglify('smoke.min.js', 'smoke.js'),
)
```

Chimney already provides compilers for the most popular web
assets. Others can easily be added to your script by extending the
Compiler class.

Watching for changes
--------------------

To automatically re-execute tasks when their dependencies change,
the function ``chimney.watch`` will first execute all tasks normally
but then it will watch for any filesystem changes.

To get this functionality, the api is slightly different. Instead of
expecting a list of tasks, the function ``chimney.watch`` requires
a function. This is called when new files are added so the dependencies
can be recalculated. For example:

```python
def create_tasks():
return [
coffee('smoke.js', ['wood.coffee', 'fire.coffee']),
uglify('smoke.min.js', 'smoke.js'),
]

chimney.watch(create_tasks)
```

Whenever the coffee files are changed, ``smoke.js`` will be re-created
using the ``coffee`` compiler. Then ``smoke.min.js`` will be created, too.
When new files are added, the function ``create_tasks`` will be re-executed
to build a new set of tasks. This is useful for dynamically building
tasks.

By default, the reload will start chimney on all new files, which may
be too often. You can provide a list of (shell) patterns to match
to limit reloading:

```python
def create_tasks():
return [
coffee('smoke.js', ['wood.coffee', 'fire.coffee']),
uglify('smoke.min.js', 'smoke.js'),
]

chimney.watch(create_tasks, reload_patterns=['*.coffee'])
```

Metadata

Release files for chimney 0.4

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for chimney 0.4
File Size Uploaded Provenance
chimney-0.4.tar.gz 9.0 kB Without provenance Details

Release files / chimney-0.4.tar.gz

Download URL chimney-0.4.tar.gz
Size 9.0 kB
Tags Source
SHA-256 checksum
How to use checksums
b39c9dae8c6b83a70f7832ce8e7ff62dbce24c58da2be891143230c8d39027f2
BLAKE2b-256 checksum
How to use checksums
83dfd8858884551b9564090ae7b9ebf5474f05e5f3c307ff9edf7bf403b6e6c0
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No

Security for chimney 0.4

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page