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توضیحات

Import singles to Beets as soon as they are dropped in a folder

ویژگی	مقدار
سیستم عامل	-
نام فایل	drop2beets-1.0.0a1
نام	drop2beets
نسخه کتابخانه	1.0.0a1
نگهدارنده	[]
ایمیل نگهدارنده	[]
نویسنده	Martin Kirchgessner
ایمیل نویسنده	martin.kirch@gmail.com
آدرس صفحه اصلی	https://github.com/martinkirch/drop2beets
آدرس اینترنتی	https://pypi.org/project/drop2beets/
مجوز	WTFPL

# drop2beets A [Beets](http://beets.io/) plug-in that imports singles as soon as they are dropped in a folder. You can provide a function to set meta-data or custom attributes depending on the sub-folder in which the file has been dropped. The [examples](https://github.com/martinkirch/drop2beets/tree/master/examples) folder contains some examples of `on_item` functions you may adapt to your needs. We use Beets' auto-tagger in quiet mode, and [inotify](https://pypi.org/project/inotify/) to detect dropped files. ## Get started You'll need Python3 on a Linux box, and obviously an existing Beets library. Run: ```bash pip install drop2beets ``` Enable and configure the plug-in by running `beet config -e` and set at least the path to the "dropbox" folder. ```yaml plugins: drop2beets drop2beets: dropbox_path: ~/beets-dropbox ``` We advise you configure Beets to always move files out of the Dropbox, and set `quiet_fallback`: ```yaml import: move: yes copy: no quiet_fallback: asis ``` `quiet_fallback` tells Beets what to do when the auto-tagger is not sure about the song's identifiaction. Set it to `skip` to abort the importation in case of ambiguity, or `asis` to import using tags as they are in the incoming file. This will avoid surprises in case of ambiguous matches, because this script invokes Beet's auto-tagger in quiet mode (as `beet import -q`) after your custom function. This function is `on_item`. It is written in Python, and lets you set some tags depending of which sub-folder the file is dropped in. If you want one, define it in the configuration from this template: ```yaml drop2beets: on_item: | def on_item(item, path): """ Parameters: item: the beets Item that we're about to import path: its sub-folders path in our dropbox ; if the items has been dropped at the root, then it's empty. Returns: A dict of custom attributes (according to path, maybe) ; return None if you don't want to import the file right now. """ return {} ``` Now you're ready to test by calling `beet dropbox` on the command line and dropping a few files in the folder. Hit Ctrl+C to close the script. For a longer-term installation, configure a log file path ```yaml drop2beets: log_path: ~/drop2beets/log.log ``` And install this as a user-lever systemd service by running `beet install_dropbox` (in a shell where the virtual environment is activated). Note that you'll have to restart the service when you update the `on_item` function. ## Examples wanted ! I'd be happy to include your own variations of this script or the `on_item` function in the [examples](https://github.com/martinkirch/drop2beets/tree/master/examples) folder, feel free to post them in [Issues](https://github.com/martinkirch/drop2beets/issues) or [Pull Requests](https://github.com/martinkirch/drop2beets/pulls).

نیازمندی

مقدار	نام
>=0.2.10,<0.3.0	inotify

زبان مورد نیاز

مقدار	نام
>=3.7,<4.0	Python

نحوه نصب

نصب پکیج whl drop2beets-1.0.0a1:

pip install drop2beets-1.0.0a1.whl

نصب پکیج tar.gz drop2beets-1.0.0a1:

pip install drop2beets-1.0.0a1.tar.gz