Reflex Monaco Editor component with LSP capability
Project description
reflex-monaco-editor
Overview
reflex-monaco-editor provides integration of the Monaco Editor with support for Terraform syntax highlighting and language features via terraform-ls. This project enables embedding a powerful code editor in Python web applications, with extensible language support.
NOTE: This has not been fully tested in a compiled Reflex app for production. If there are any bugs or issues, please report them.
Table of Contents
Getting Started
1. Installation
Install the package
pip install reflex-monaco-editor
2. Apply Config
If you're not using any other custom Vite config, you can do this in your rxconfig.py:
import reflex as rx
from vite_config_plugin import ViteConfigPlugin
from monaco_editors.config import MonacoEditorsReflexConfig
config = rx.Config(
...
plugins=[
...
ViteConfigPlugin(
MonacoEditorsReflexConfig.get_vite_config(),
imports=MonacoEditorsReflexConfig.get_imports(),
dependencies=MonacoEditorsReflexConfig.get_dependencies(),
)
]
)
If you need other custom configurations, do this instead:
import reflex as rx
from vite_config_plugin import ViteConfigPlugin
from monaco_editors.config import MonacoEditorsReflexConfig
config = rx.Config(
...
plugins=[
...
ViteConfigPlugin(
..., # your custom vite config for your project
imports=[
..., # your other custom imports
*MonacoEditorsReflexConfig.get_imports(),
],
dependencies=[
..., # your other frontend dependencies
*MonacoEditorsReflexConfig.get_dependencies()
],
extra_configs=[
..., # Any other Vite configs you're merging in your project config
MonacoEditorsReflexConfig.get_vite_config()
]
)
]
)
The imports, dependencies, and config ensure that Vite handles the necessary libraries correctly.
3. Creating a Basic Editor
The minimum required keywork argument is filename.
import reflex as rx
from reflex_monaco_editor import monaco_editor
@rx.page("/")
def home() -> rx.Component:
return rx.flex(
monaco_editor(filename="demo.txt")
)
For advanced configuration, see the API documentation.
Demo
To run the demo, just clone the repository and either do:
pants lock
pants run demo
If you have pants installed, or:
pip install .
reflex run
Available Built-In Language Clients
Terraform
To provide Terraform/HCL language client integration, a VSIX file is included as a shared rx.asset() to the editor component and imported by it, and the
@codingame/monaco-vscode-rollup-vsix-plugin vite plugin handles the asset loading. This provides the editor with syntax highlighting and other VSCode
editor features, but it does not work with web workers (blame HashiCorp). To get around this, there's a Reflex app lifespan task called start_terraform_ls
that you can import and pass to your app on start-up. This will download lsp-ws-proxy and
terraform-ls binaries from GitHub to your .web/backend/bin directory.
Lifespan Task
It's not *required to use this lifespan task. You can download them yourself, but you will need to ensure they're listening on your specified port before starting the editor or the language client won't connect.
To use the lifespan task just import and register like this:
from monaco_editors import start_terraform_ls
app = rx.App()
app.register_lifespan_task(start_terraform_ls)
Editor + Language Client Config
Assuming your terraform-ls server is listening on port 9999 on the localhost, here's how you'd need to configure the editor at a minimum:
from monaco_editors import monaco_editor
def editor():
return monaco_editor(
filename="main.tf", # needs to be a standard Terraform/HCL file type.
language_clients=[
monaco_editor.language_client(
language_id="terraform", # Must be 'terraform'
url=monaco_editor.server_url(host="localhost", port=9999, secured=False), # configure as needed. The default for `secured` is `True`.
),
],
)
See API Documentation for more information on available configurations.
API Documentation
Monaco Editor
The monaco_editor has the available configuration:
class MonacoEditorReactComp(rx.Component):
...
###### Required Attributes ######
# The name of the 'file' to open in the editor.
filename: str | rx.Var[str]
###### Optional Attributes ######
# Theme configured based on Reflex color mode condition.
theme = rx.color_mode_cond(dark="Default Dark Modern", light="Default Light Modern")
# The editor code content of the 'file'
value: str | rx.Var[str] = ""
# The name of the worspace/folder/directory of the 'file'.
workspace_folder: str | rx.Var[str] | None = None
# Any configured language clients for the editor.
language_clients: list[LanguageClientConfig] = [] # noqa: RUF012
# The monaco editor log level (logs to browser console).
loglevel: Literal["Off", "Trace", "Debug", "Info", "Warning", "Error"] = "Info"
# The HTML class of the editor window.
class_name: str = "w-full h-full"
###### Configurable Event Handlers ######
# Fires on editor code content change. Returns the contant as a TextModel object.
on_change: rx.EventHandler[rx.event.passthrough_event_spec(TextModel)]
# Fires when an user-registered editor command executes. Returns the name of the registered command.
on_command: rx.EventHandler[rx.event.passthrough_event_spec(str)]
# Fires when a language client is restarted. Returns the name of the editor langauge client that restarts.
on_restart: rx.EventHandler[rx.event.passthrough_event_spec(str)]
# Fires when an user-registered editor command finishes. Returns the name of the registered command.
on_command_complete: rx.EventHandler[rx.event.passthrough_event_spec(str)]
Language Client Configs
The LanguageClientConfig is a Pydantic model that provides a configured language client to the monaco editor.
class LanguageClientConfig(BaseModel):
"""The Monaco Language Client Config.
Params:
language_id (str): The language ID registered with the editor.
url (LanguageServerUrl): The langauge server URL object.
register_commands (dict[str, Command]): The mapping of command names and configs to register wuth the editor.
document_selector (list[str | dict[str, str]] | None): The optional document selector for the LSP.
initialization_options (dict): The language-specific LSP opts to provide the language server upon connection.
"""
language_id: str
url: LanguageServerUrl
register_commands: Annotated[str, PlainValidator(_var_validator), Field(default="")]
document_selector: Annotated[list[str | dict[str, str]] | None, Field(default=None)]
initialization_options: Annotated[str, PlainValidator(_var_validator), Field(default="")]
While the register_commands and initialization_options say the type should be a str, it actually accepts an rx.Var[dict[str, Command]] and raises a TypeError
if the value isn't a Reflex var. This is by design.
See more about
register_commands. Theinitialization_optionsare LSP or Language Server specific.
Registered Editor Command
The Command Pydantic model helps to register a command between the Monaco editor and the language server, allowing the editor to perform actions
and tasks avaiable to your language server.
class Command(BaseModel):
"""Language Servers Commands.
Used to register Monaco editor commands with the language client.
Params:
type (Literal["notification", "request"]): The type of LSP command to execute.
method (str): The LSP method to send (based on the specific language server).
params (dict[str, Any]): The parameters to send.
restart_client: (bool): If the editor's language client should be restarted after command completion.
"""
type: Literal["notification", "request"]
method: str
params: dict[str, Any]
restart_client: Annotated[bool, Field(default=False)]
Example:
How this is configured will be dependant on your LSP's documentation. I'll use terraform.init
as an example.
More often than not, the type of request commands use are request. This is true for terraform-ls. The method is the LSP method, in this case it's workspace/executeCommand. Based on the documentation for terraform-ls, we know the params it expects is:
{
"command": "command-name",
"arguments": [ "key=value" ]
}
And terraform.init expects an argument of uri set to the directory in which to run init; making it [ "uri=file:///path/to/my/dir" ]. And if a restart of the client is
necessary or benficial, you can set restart_client to True. This would be the entire Command config you'd add to your dict of commands looks like this:
"terraform.init": Command(
type="request",
method="workspace/executeCommand",
params={
"command": "terraform-ls.terraform.init",
"arguments": ["uri=file:///path/to/my/dir"]
},
restart_client=True
)
Language Server URL
The only currently available method for connecting to a language server is via websocket URL. The LanguageServerUrl model
helps specify and format the URL correctly.
class LanguageServerUrl(BaseModel):
"""The language server URL.
Params:
host (str): The hostname with a language server websocket.
port (int): The host's websocket port number.
secured (bool): Whether the connection is secure (use `wss` instead of `ws`)
path (str): Additional path URI for the langauge server.
"""
host: str
port: int
secured: Annotated[bool, Field(default=True)]
path: Annotated[str, Field(default="")]
Namespace
To make it easier (and less imports), all of the major moving parts are grouped into an rx.ComponentNamespace for convenient configuration and importing.
class Monaco(rx.ComponentNamespace):
"""Namespace for Monaco editor components and configuration."""
__call__ = MonacoEditorReactComp.create
language_client = LanguageClientConfig
server_url = LanguageServerUrl
command = Command
monaco_editor = Monaco()
So, in your code, all you need to do is:
from monaco_editors import monaco_editor
def my_editor():
return monaco_editor(
filename="foo.txt",
language_clients=[
monaco_editor.language_client(
language_id="my-lang",
url=monaco_editor.server_url(...),
register_commands={
"my-lsp.command": monaco_editor.command(...),
... # other commands
},
... # other options
)
],
... # other settings or event handlers
)
How to Contribute
Contributions are welcome! Please feel free to submit a Pull Request. For major changes, please open an issue first to discuss what you would like to change.
Prereuisites
This repository builds with pantsbuild which requires Linux or Mac. If you're on a Windows, you can use WSL.
Install pants using the provided instructions for your OS.
Development Setup
- Fork the repository and clone.
- Install dependencies:
pants lock - Optionally export a venv:
pants venv. Createsdist/export/python/virtualenvs/python-default/3.X.Y. - If you run
pants venvyou can update your IDE interpreter using the available venv.
Now you can make code changes as necessary.
Submitting a PR
Before you submit a PR, ensure the following run without errors:
- Run tests:
pants test all - Format code:
pants fmt all - Lint code:
pants lint all
License
See LICENSE for details.
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