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8698e80304
This brings in [`runtimelib`](https://github.com/runtimed/runtimed) to use: ## Fully typed structs for Jupyter Messages ```rust let msg = connection.read().await?; self .send_iopub( runtimelib::Status::busy().as_child_of(msg), ) .await?; ``` ## Jupyter paths Jupyter paths are implemented in Rust, allowing the Deno kernel to be installed completely via Deno without a requirement on Python or Jupyter. Deno users will be able to install and use the kernel with just VS Code or other editors that support Jupyter. ```rust pub fn status() -> Result<(), AnyError> { let user_data_dir = user_data_dir()?; let kernel_spec_dir_path = user_data_dir.join("kernels").join("deno"); let kernel_spec_path = kernel_spec_dir_path.join("kernel.json"); if kernel_spec_path.exists() { log::info!("✅ Deno kernel already installed"); Ok(()) } else { log::warn!("ℹ️ Deno kernel is not yet installed, run `deno jupyter --install` to set it up"); Ok(()) } } ``` Closes https://github.com/denoland/deno/issues/21619
102 lines
2.5 KiB
Rust
102 lines
2.5 KiB
Rust
// Copyright 2018-2024 the Deno authors. All rights reserved. MIT license.
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use std::cell::RefCell;
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use std::rc::Rc;
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use std::sync::Arc;
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use runtimelib::JupyterMessage;
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use runtimelib::JupyterMessageContent;
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use runtimelib::KernelIoPubConnection;
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use runtimelib::StreamContent;
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use deno_core::error::AnyError;
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use deno_core::op2;
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use deno_core::serde_json;
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use deno_core::OpState;
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use tokio::sync::mpsc;
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use tokio::sync::Mutex;
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deno_core::extension!(deno_jupyter,
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ops = [
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op_jupyter_broadcast,
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],
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options = {
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sender: mpsc::UnboundedSender<StreamContent>,
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},
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middleware = |op| match op.name {
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"op_print" => op_print(),
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_ => op,
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},
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state = |state, options| {
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state.put(options.sender);
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},
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);
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#[op2(async)]
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pub async fn op_jupyter_broadcast(
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state: Rc<RefCell<OpState>>,
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#[string] message_type: String,
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#[serde] content: serde_json::Value,
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#[serde] metadata: serde_json::Value,
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#[serde] buffers: Vec<deno_core::JsBuffer>,
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) -> Result<(), AnyError> {
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let (iopub_connection, last_execution_request) = {
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let s = state.borrow();
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(
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s.borrow::<Arc<Mutex<KernelIoPubConnection>>>().clone(),
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s.borrow::<Rc<RefCell<Option<JupyterMessage>>>>().clone(),
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)
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};
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let maybe_last_request = last_execution_request.borrow().clone();
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if let Some(last_request) = maybe_last_request {
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let content = JupyterMessageContent::from_type_and_content(
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&message_type,
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content.clone(),
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)
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.map_err(|err| {
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log::error!(
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"Error deserializing content from jupyter.broadcast, message_type: {}:\n\n{}\n\n{}",
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&message_type,
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content,
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err
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);
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err
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})?;
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let mut jupyter_message = JupyterMessage::new(content, Some(&last_request));
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jupyter_message.metadata = metadata;
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jupyter_message.buffers =
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buffers.into_iter().map(|b| b.to_vec().into()).collect();
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jupyter_message.set_parent(last_request);
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(iopub_connection.lock().await)
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.send(jupyter_message)
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.await?;
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}
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Ok(())
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}
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#[op2(fast)]
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pub fn op_print(
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state: &mut OpState,
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#[string] msg: &str,
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is_err: bool,
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) -> Result<(), AnyError> {
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let sender = state.borrow_mut::<mpsc::UnboundedSender<StreamContent>>();
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if is_err {
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if let Err(err) = sender.send(StreamContent::stderr(msg.into())) {
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log::error!("Failed to send stderr message: {}", err);
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}
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return Ok(());
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}
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if let Err(err) = sender.send(StreamContent::stdout(msg.into())) {
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log::error!("Failed to send stdout message: {}", err);
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}
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Ok(())
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}
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