Updated README
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@@ -21,7 +21,7 @@ A [demo](http://lms.demo.poupon.io) instance is available, with the following li
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* MusicBrainzID support to handle duplicated artist and release names
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* Playlists (only using Subsonic API for now)
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* Starred Album/Artist/Tracks (only using Subsonic API for now)
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* Systemd integration
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* _Systemd_ integration
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## Recommendation engine
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@@ -34,11 +34,11 @@ _LMS_ provides several ways to help you find the music you like:
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The recommendation engine makes use of [Self-Organizing Maps](https://en.wikipedia.org/wiki/Self-organizing_map).</br>
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Please note this engine:
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- may require some significant computation time on large collections (ex: half a hour per 40k tracks)
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- makes use of computed data available on [AcousticBrainz](https://acousticbrainz.org/). Therefore your music files must contain the [MusicBrainz Identifier](https://musicbrainz.org/doc/MusicBrainz_Identifier) for the recommendation engine to work properly (otherwise, only tag-based recommendations are provided)
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* may require some significant computation time on large collections (ex: half a hour for 40k tracks)
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* makes use of computed data available on [AcousticBrainz](https://acousticbrainz.org/). Therefore your music files must contain the [MusicBrainz Identifier](https://musicbrainz.org/doc/MusicBrainz_Identifier) for the recommendation engine to work properly (otherwise, only tag-based recommendations are provided)
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## Subsonic API
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The API version implemented is 1.12.0 and has been tested on Android using the official application, _Ultrasonic_ and _DSub_.
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The API version implemented is 1.12.0 and has been tested on _Android_ using the official application, _Ultrasonic_ and _DSub_.
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Since _LMS_ uses metadata tags to organize music, a compatibility mode is used to navigate through the collection using the directory browsing commands.
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@@ -46,7 +46,7 @@ The Subsonic API is enabled by default.
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## Installation
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This installation process and the default values of the configuration file and the systemd service file have been written for Debian Stretch.
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This installation process and the default values of the configuration file and the _systemd_ service file have been written for _Debian Stretch_.
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Therefore, you may have to adapt commands and/or paths in order to fit to your distribution.
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@@ -55,7 +55,7 @@ Therefore, you may have to adapt commands and/or paths in order to fit to your d
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apt-get install g++ autoconf automake libboost-filesystem-dev libboost-system-dev libavcodec-dev libavutil-dev libavformat-dev libav-tools libmagick++-dev libpstreams-dev libconfig++-dev libpstreams-dev ffmpeg libtag1-dev
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```
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You also need wt4, that is not packaged yet on Debian. See [installation instructions](https://www.webtoolkit.eu/wt/doc/reference/html/InstallationUnix.html). Due to memory limitations, you may need to build _Wt4_ in _Release_ mode if you want to compile it natively on a Raspberry Pi3B+.
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You also need _W4_, that is not packaged yet on _Debian_. See [installation instructions](https://www.webtoolkit.eu/wt/doc/reference/html/InstallationUnix.html).
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### Build
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@@ -75,6 +75,12 @@ make
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```
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Note: you can use `make -jN` to speed up compilation time (N is the number of compilation workers to spawn)
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### Raspberry 3 build notes
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Due to memory limitations, you may need to build _Wt4_ in _Release_ mode if you want to compile it natively on a Raspberry Pi3B+.
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Note: the build process is really long (roughly 1 hour for _Wt4_ + _LMS_)
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### Deployment
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The following commands require root privileges.
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@@ -84,13 +90,13 @@ make install
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```
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In order to customize the installation directories, you have to:
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* use the following options of the `configure` script:
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** --prefix (default to `/usr/local`)
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** --sysconfigdir (/default to `/usr/local/etc`)
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** --with-systemdunitdir (default to `/lib/systemd/system`)
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* --prefix (default to `/usr/local`)
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* --sysconfigdir (/default to `/usr/local/etc`)
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* --with-systemdunitdir (default to `/lib/systemd/system`)
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* edit the `/etc/lms.conf` file
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* edit the `/lib/systemd/system/lms.service` file
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Create a dedicated lms system user:
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Create a dedicated system user:
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```sh
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useradd --system lms
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```
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@@ -103,15 +109,17 @@ touch /var/log/lms.access.log
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chown lms:lms /var/lms /var/log/lms.log /var/log/lms.access.log
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```
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Note: don't forget to give the _lms_ user read access to the music directory you want to scan
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### Configuration
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_LMS_ uses a configuration file, installed in '/etc/lms.conf'. It is recommended to edit this file and change relevant settings (listen address, listen port, working directory, Subsonic API activation, ...)
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All other settings are set using the web interface.
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All other settings are set using the web interface (user management, scan settings, transcode settings, ...)
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### Reverse proxy settings
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_LMS_ is shipped with an embedded web server, but it is recommended to deploy behind a reverse proxy. You have to set the 'behind-reverse-proxy' option to 'true' in the configuration file.
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_LMS_ is shipped with an embedded web server, but it is recommended to deploy behind a reverse proxy. You have to set the _behind-reverse-proxy_ option to _true_ in the `lms.conf` configuration file.
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Here is an example to make _LMS_ properly work on myserver.org using nginx.
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Here is an example to make _LMS_ properly work on _myserver.org_ using _nginx_.
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```
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server {
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listen 80;
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@@ -139,21 +147,23 @@ server {
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## Running
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```sh
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service lms start
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systemctl start lms
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```
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Logs are output in `/var/log/lms.log` and `/var/log/lms.access.log`
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Two log files are used:
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* `/var/log/lms.log`: logs of the daemon
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* `/var/log/lms.access.log`: access logs of the embedded web server
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To connect to _LMS_, just open your favorite browser and go to http://localhost:5082
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To make _LMS_ run automatically during startup:
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```sh
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service lms enable
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systemctl enable lms
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```
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## Credits
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- Wt (http://www.webtoolkit.eu/)
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- bootstrap3 (http://getbootstrap.com/)
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- ffmpeg project (https://ffmpeg.org/)
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- Magick++ (http://www.imagemagick.org/Magick++/)
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- MetaBrainz (https://metabrainz.org/)
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- Bootstrap Notify: https://github.com/mouse0270/bootstrap-notify
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* Wt (http://www.webtoolkit.eu/)
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* bootstrap3 (http://getbootstrap.com/)
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* ffmpeg project (https://ffmpeg.org/)
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* Magick++ (http://www.imagemagick.org/Magick++/)
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* MetaBrainz (https://metabrainz.org/)
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* Bootstrap Notify: https://github.com/mouse0270/bootstrap-notify
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