Server implementation of the Language Server Protocol for reStructuredText
Project description
RST Language Server implements the server side of the Language Server Protocol (LSP) for the reStructuredText markup language.
RST Language Server is intended to be used by text editors implementing the client side of the protocol. See langserver.org for a list of implementing clients.
Features
Autocompletion of title adornments
Installation
RST Language Server is available as a package on PyPI and can be installed via pip:
$ pip install --user rst-language-server
Usage with Kate
Using RST Language Server with Kate requires the LSP Client Plugin. Once the plugin is activated in the settings a new settings symbol named LSP-Client appears. Click on the section, select the User Server Settings tab and paste the following server configuration.
{
"servers": {
"rst": {
"command": ["rst-ls"],
"highlightingModeRegex": "^reStructuredText$"
}
}
}
This will start RST Language Server when opening any file that is configured to use the reStructuredText syntax highlighting.
Is my editor supported?
RST Language Server can be used with any text editor that implements a Language Client. See this list of Language Client implementations.
Development configuration with Kate
The RST Language Server is executed as a subprocess of the Language Client. Therefore, if we want to see log output in Kate we need to write the logs to a file using the –log-file command line option. We also set the log level to debug in order to view the JSON-RPC messages exchanged between client and server. Lastly, we configure the root (i.e. the working directory of the executed command) to the directory where our source code lives in and use poetry run to execute the code in the Git repository:
{
"servers": {
"rst": {
"command": ["poetry", "run", "rst-ls", "--log-file=/tmp/rst-ls.log", "--log-level=debug"],
"root": "/path/to/rst-language-server-repo",
"highlightingModeRegex": "^reStructuredText$"
}
}
}
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file rst-language-server-0.1.0.tar.gz
.
File metadata
- Download URL: rst-language-server-0.1.0.tar.gz
- Upload date:
- Size: 5.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.8.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 18f81e5580313d5567ecd6b12cc9d384eae93e9b861318e65ced9e4c75fda61e |
|
MD5 | 36efeb52ac3026f5dc9d912bed0fd46d |
|
BLAKE2b-256 | 35d1ed97ad6c094d08d8b4402e61e7e5a64901fe0daa06e6c2bbb1f0aec24304 |
Provenance
File details
Details for the file rst_language_server-0.1.0-py3-none-any.whl
.
File metadata
- Download URL: rst_language_server-0.1.0-py3-none-any.whl
- Upload date:
- Size: 6.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.8.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 84f7679dc424898eaaacb59d71deaa26eee54cc3766fa42d8780cbdab2543f82 |
|
MD5 | aeba4ffa1b53bab295236d442c63ceaf |
|
BLAKE2b-256 | be00999e5a653a6a8df7199f98afa81be2da30a359776385c15031be0bfe9998 |