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document scrobbling purge

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FloatingGhost 2022-07-19 17:22:02 +01:00
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5
CHANGELOG.md
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@ -4,6 +4,11 @@ All notable changes to this project will be documented in this file.
The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/). The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/).
## [Unreleased]
### Removed
- Scrobbling support
## 2022.07 ## 2022.07
### Added ### Added

32
docs/docs/development/API/pleroma_api.md
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@ -576,38 +576,6 @@ The status posting endpoint takes an additional parameter, `in_reply_to_conversa
* Response: the archive of the pack with a 200 status code, 403 if the pack is not set as shared, * Response: the archive of the pack with a 200 status code, 403 if the pack is not set as shared,
404 if the pack does not exist 404 if the pack does not exist
## `GET /api/v1/pleroma/accounts/:id/scrobbles`
### Requests a list of current and recent Listen activities for an account
* Method `GET`
* Authentication: not required
* Params: None
* Response: An array of media metadata entities.
* Example response:
```json
[
{
"account": {...},
"id": "1234",
"title": "Some Title",
"artist": "Some Artist",
"album": "Some Album",
"length": 180000,
"created_at": "2019-09-28T12:40:45.000Z"
}
]
```
## `POST /api/v1/pleroma/scrobble`
### Creates a new Listen activity for an account
* Method `POST`
* Authentication: required
* Params:
* `title`: the title of the media playing
* `album`: the album of the media playing [optional]
* `artist`: the artist of the media playing [optional]
* `length`: the length of the media playing [optional]
* Response: the newly created media metadata entity representing the Listen activity
# Emoji Reactions # Emoji Reactions
Emoji reactions work a lot like favourites do. They make it possible to react to a post with a single emoji character. To detect the presence of this feature, you can check `pleroma_emoji_reactions` entry in the features list of nodeinfo. Emoji reactions work a lot like favourites do. They make it possible to react to a post with a single emoji character. To detect the presence of this feature, you can check `pleroma_emoji_reactions` entry in the features list of nodeinfo.