cleanup and rename provider to plugin

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2026-05-21 16:19:17 -07:00
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# Plugin Development Guide
## Purpose
This guide describes how to write, test, and register a plugin so the
application can discover and use it as a pluggable component.
The public model is plugin-first, even though the internal base class still
uses `Provider` naming.
Keep plugin code small, focused, and well-tested. Bundled plugins and drop-in
plugins share the same `plugins/` layout.
---
## Anatomy of a plugin
A plugin is a Python class that currently extends the internal base class
`PluginCore.base.Provider` and implements a few key methods and attributes.
Minimum expectations:
- `class MyPlugin(Provider):` subclasses the current internal base plugin class.
- `URL`, `URL_DOMAINS`, or `url_patterns()` let the registry route URLs.
- `validate(self) -> bool` returns `True` when the plugin is configured and usable.
- `search(self, query, limit=50, filters=None, **kwargs)` returns a list of `SearchResult` items.
Optional but common:
- `download(self, result: SearchResult, output_dir: Path) -> Optional[Path]`
- `selector(self, selected_items, *, ctx, stage_is_last=True, **kwargs) -> bool`
- `download_url(self, url, output_dir, progress_cb=None)`
---
## SearchResult
Use `PluginCore.base.SearchResult` to describe results returned by `search()`.
Important fields:
- `table` (str): plugin table name
- `title` (str): short human title
- `path` (str): canonical URL or link the plugin or downloader may use
- `media_kind` (str): `file`, `folder`, `book`, and similar values
- `columns` (list[tuple[str, str]]): extra key/value pairs to display
- `full_metadata` (dict): plugin-specific metadata for downstream stages
- `annotations` or `tag`: simple metadata for filtering
Return a list of `SearchResult(...)` objects or simple dicts convertible with `.to_dict()`.
---
## Implementing `search()`
- Parse and sanitize `query` and `filters`.
- Return no more than `limit` results.
- Use `columns` to provide table columns such as `TITLE`, `Seeds`, or `Size`.
- Keep `search()` fast and predictable by using reasonable timeouts.
Example:
```python
from PluginCore.base import Provider, SearchResult
class HelloPlugin(Provider):
def search(self, query, limit=50, filters=None, **kwargs):
q = (query or "").strip()
if not q:
return []
results = [
SearchResult(
table="hello",
title=f"Hit for {q}",
path=f"https://example/{q}",
columns=[("Info", "example")],
full_metadata={"source": "hello"},
)
]
return results[:max(0, int(limit))]
```
---
## Implementing `download()` and `download_url()`
- Prefer plugin `download(self, result, output_dir)` for piped plugin items.
- For plugin-provided URLs, implement `download_url` so `download-file` can route downloads through the plugin.
- Use the repo `_download_direct_file` helper for HTTP downloads when possible.
Example download method:
```python
def download(self, result: SearchResult, output_dir: Path) -> Optional[Path]:
url = getattr(result, "path", None)
if not url or not url.startswith("http"):
return None
return _download_direct_file(url, output_dir)
```
---
## URL routing
Plugins can declare:
- `URL = ("magnet:",)` or similar prefix lists
- `URL_DOMAINS = ("example.com",)` to match hosts
- `@classmethod def url_patterns(cls):` to combine static and dynamic patterns
The registry uses these declarations to match `download-file <url>` and to pick
which plugin should handle a URL.
---
## Selector behavior and `@N`
- Implement `selector(self, selected_items, *, ctx, stage_is_last=True)` to present a sub-table or enqueue downloads.
- Use `ctx.set_last_result_table()` and `ctx.set_current_stage_table()` to display follow-up tables.
- Return `True` when the selector handled the selection and the pipeline should stop expanding that row.
---
## Testing plugins
- Keep tests small and local.
- Create `tests/test_plugin_<name>.py` or follow the existing repo naming when extending older tests.
- Test `search()` with mock HTTP responses.
- Test `download()` using a temp directory and a small file server or by mocking `_download_direct_file`.
- Test `selector()` by constructing a fake result and `ctx` object.
Example PowerShell commands from the repo root:
```powershell
pytest tests/test_plugin_hello.py -q
pytest -q
```
---
## Registration and packaging
- Bundled plugins live under `plugins/` and are auto-discovered from that package.
- External plugins can be dropped into `plugins/` or any directory listed in `MM_PLUGIN_PATH` or `MEDEIA_PLUGIN_PATH`.
- Package directories are preferred so plugin-specific files travel with the plugin.
- Plugin authors should import from `PluginCore.*`.
If a plugin supports multiple configured endpoints or accounts, the user-facing
concept is a plugin instance. Some stored config still lives under legacy key
paths such as `provider.<plugin>.<instance>`.
---
## Best practices
- Use `debug()` and `log()` appropriately; avoid noisy stderr output in normal runs.
- Prefer returning `SearchResult` objects to provide consistent UX.
- Keep `search()` tolerant of timeouts and malformed responses.
- Use `full_metadata` to pass non-display data to `download()` and `selector()`.
- Respect the `limit` parameter in `search()`.
---
## Example plugin checklist
- [ ] Implement `search()` and return `SearchResult` items.
- [ ] Implement `validate()` to check essential config such as API keys or credentials.
- [ ] Provide `URL`, `URL_DOMAINS`, or `url_patterns()` for routing.
- [ ] Add `download()` or `download_url()` for piped or passed URL downloads.
- [ ] Add tests under `tests/`.
- [ ] Add the plugin under `plugins/<name>/` for bundled or plug-and-play installs.
---
## Further reading
- See existing bundled plugins in `plugins/` for patterns and edge cases.
- Check `API/` helpers for HTTP and debrid clients used by plugins.