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https://github.com/waikato-datamining/coed

Configurable Object Entry-point Discovery
https://github.com/waikato-datamining/coed

entrypoints python3

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Configurable Object Entry-point Discovery

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# coed
Configurable Object Entry-point Discovery.

## Installation

Install via pip:

```bash
pip install "git+https://github.com/waikato-datamining/coed.git"
```

## Usage

Approach:

1. define a class lister function
2. reference the class lister function in `setup.py`
3. create a custom registry
4. query classes

For the examples below, we assume that the project is called `project42`.

### Class lister function

The class lister function simply returns a dictionary of super classes
associated with lists of packages that classes derived from these super
classes may occur in.

For example, the following function is located in module `project42.class_lister`:

```python
from typing import List, Dict

def list_classes() -> Dict[str, List[str]]:
return {
"project42.superclass.One": [
"project42.one",
"project42.two",
],
"project42.superclass.Two": [
"project42.deep.deeper.deepest.another",
],
"project42.superclass.Three": [
"project42.one",
"project42.three",
"project42.deep.four",
"project42.five",
],
}
```

### Entry point in setup.py

The format for referencing the class lister function is as follows:

```
...
entry_points={
"class_lister": [
"unique_name=module_name:function_name",
],
},
...
```

If the `function_name` is `list_classes`, it can be omitted.

The above example class lister function would be referenced like this:

```
...
entry_points={
"class_lister": [
"project42=project42.class_lister",
],
},
...
```

### Custom registry

Create a custom registry (module `project42.registry`):

```python
from coed.registry import Registry as CRegistry

ENV_CLASSLISTERS = "PROJECT42_CLASSLISTERS"

class Registry(CRegistry):
"""
Registry for managing plugins.
"""

def __init__(self):
super().__init__(env_class_listers=ENV_CLASSLISTERS)

REGISTRY = Registry()
```

**Notes**
The environment variable is useful while developing, as the entrypoints
are only available when installing the library.

While developing in your IDE, you can set the `PROJECT42_CLASSLISTERS`
environment variable to list all your class lister functions (comma-separated list),
e.g.:

```
PROJECT42_CLASSLISTERS=project42.class_lister:list_classes
```

### Query classes

With the registry in place, you can now obtain all the classes that have been
associated with a certain super class, e.g.:

```python
from project42.registry import REGISTRY

classes = REGISTRY.classes("project42.superclass.One")
for c in classes:
print(c)
```