1
0
Fork 0
mirror of https://github.com/denoland/deno.git synced 2024-12-18 13:22:55 -05:00
denoland-deno/cli/tools/jupyter/server.rs
Bartek Iwańczuk 02e5a7a012
fix(jupyter): fix panics for overslow subtraction (#26371)
I don't have a reliable reproduction for it, but it makes it
painful to use the Jupyter kernel with semi-frequent random panics.

The completions don't always work correctly anyway, so I think
it's better to just not panic here for the time being.

Fixes https://github.com/denoland/deno/issues/26340
2024-10-18 00:44:14 +02:00

833 lines
24 KiB
Rust

// Copyright 2018-2024 the Deno authors. All rights reserved. MIT license.
// This file is forked/ported from <https://github.com/evcxr/evcxr>
// Copyright 2020 The Evcxr Authors. MIT license.
// NOTE(bartlomieju): unfortunately it appears that clippy is broken
// and can't allow a single line ignore for `await_holding_lock`.
#![allow(clippy::await_holding_lock)]
use std::collections::HashMap;
use std::rc::Rc;
use std::sync::Arc;
use crate::cdp;
use crate::tools::repl;
use deno_core::anyhow::bail;
use deno_core::error::AnyError;
use deno_core::futures;
use deno_core::parking_lot::Mutex;
use deno_core::serde_json;
use deno_core::CancelFuture;
use deno_core::CancelHandle;
use jupyter_runtime::ExecutionCount;
use tokio::sync::mpsc;
use tokio::sync::oneshot;
use jupyter_runtime::messaging;
use jupyter_runtime::ConnectionInfo;
use jupyter_runtime::JupyterMessage;
use jupyter_runtime::JupyterMessageContent;
use jupyter_runtime::KernelControlConnection;
use jupyter_runtime::KernelIoPubConnection;
use jupyter_runtime::KernelShellConnection;
use jupyter_runtime::ReplyError;
use jupyter_runtime::ReplyStatus;
use jupyter_runtime::StreamContent;
use uuid::Uuid;
use super::JupyterReplProxy;
pub struct JupyterServer {
execution_count: ExecutionCount,
last_execution_request: Arc<Mutex<Option<JupyterMessage>>>,
iopub_connection: Arc<Mutex<KernelIoPubConnection>>,
repl_session_proxy: JupyterReplProxy,
}
pub struct StdinConnectionProxy {
pub tx: mpsc::UnboundedSender<JupyterMessage>,
pub rx: mpsc::UnboundedReceiver<JupyterMessage>,
}
pub struct StartupData {
pub iopub_connection: Arc<Mutex<KernelIoPubConnection>>,
pub stdin_connection_proxy: Arc<Mutex<StdinConnectionProxy>>,
pub last_execution_request: Arc<Mutex<Option<JupyterMessage>>>,
}
impl JupyterServer {
pub async fn start(
connection_info: ConnectionInfo,
mut stdio_rx: mpsc::UnboundedReceiver<StreamContent>,
repl_session_proxy: JupyterReplProxy,
setup_tx: oneshot::Sender<StartupData>,
) -> Result<(), AnyError> {
let session_id = Uuid::new_v4().to_string();
let mut heartbeat =
connection_info.create_kernel_heartbeat_connection().await?;
let shell_connection = connection_info
.create_kernel_shell_connection(&session_id)
.await?;
let control_connection = connection_info
.create_kernel_control_connection(&session_id)
.await?;
let mut stdin_connection = connection_info
.create_kernel_stdin_connection(&session_id)
.await?;
let iopub_connection = connection_info
.create_kernel_iopub_connection(&session_id)
.await?;
let iopub_connection = Arc::new(Mutex::new(iopub_connection));
let last_execution_request = Arc::new(Mutex::new(None));
let (stdin_tx1, mut stdin_rx1) =
mpsc::unbounded_channel::<JupyterMessage>();
let (stdin_tx2, stdin_rx2) = mpsc::unbounded_channel::<JupyterMessage>();
let stdin_connection_proxy = Arc::new(Mutex::new(StdinConnectionProxy {
tx: stdin_tx1,
rx: stdin_rx2,
}));
let Ok(()) = setup_tx.send(StartupData {
iopub_connection: iopub_connection.clone(),
last_execution_request: last_execution_request.clone(),
stdin_connection_proxy,
}) else {
bail!("Failed to send startup data");
};
let cancel_handle = CancelHandle::new_rc();
let mut server = Self {
execution_count: ExecutionCount::new(0),
iopub_connection: iopub_connection.clone(),
last_execution_request: last_execution_request.clone(),
repl_session_proxy,
};
let stdin_fut = deno_core::unsync::spawn(async move {
loop {
let Some(msg) = stdin_rx1.recv().await else {
return;
};
let Ok(()) = stdin_connection.send(msg).await else {
return;
};
let Ok(msg) = stdin_connection.read().await else {
return;
};
let Ok(()) = stdin_tx2.send(msg) else {
return;
};
}
});
let hearbeat_fut = deno_core::unsync::spawn(async move {
loop {
if let Err(err) = heartbeat.single_heartbeat().await {
log::error!(
"Heartbeat error: {}\nBacktrace:\n{}",
err,
err.backtrace()
);
}
}
});
let control_fut = deno_core::unsync::spawn({
let cancel_handle = cancel_handle.clone();
async move {
if let Err(err) =
Self::handle_control(control_connection, cancel_handle).await
{
log::error!(
"Control error: {}\nBacktrace:\n{}",
err,
err.backtrace()
);
}
}
});
let shell_fut = deno_core::unsync::spawn(async move {
if let Err(err) = server.handle_shell(shell_connection).await {
log::error!("Shell error: {}\nBacktrace:\n{}", err, err.backtrace());
}
});
let stdio_fut = deno_core::unsync::spawn(async move {
while let Some(stdio_msg) = stdio_rx.recv().await {
Self::handle_stdio_msg(
iopub_connection.clone(),
last_execution_request.clone(),
stdio_msg,
)
.await;
}
});
let repl_session_fut = deno_core::unsync::spawn(async move {});
let join_fut = futures::future::try_join_all(vec![
hearbeat_fut,
control_fut,
shell_fut,
stdio_fut,
repl_session_fut,
stdin_fut,
]);
if let Ok(result) = join_fut.or_cancel(cancel_handle).await {
result?;
}
Ok(())
}
async fn handle_stdio_msg(
iopub_connection: Arc<Mutex<KernelIoPubConnection>>,
last_execution_request: Arc<Mutex<Option<JupyterMessage>>>,
stdio_msg: StreamContent,
) {
let maybe_exec_result = last_execution_request.lock().clone();
let Some(exec_request) = maybe_exec_result else {
return;
};
let result = iopub_connection
.lock()
.send(stdio_msg.as_child_of(&exec_request))
.await;
if let Err(err) = result {
log::error!("Output error: {}", err);
}
}
async fn handle_control(
mut connection: KernelControlConnection,
cancel_handle: Rc<CancelHandle>,
) -> Result<(), AnyError> {
loop {
let msg = connection.read().await?;
match msg.content {
JupyterMessageContent::KernelInfoRequest(_) => {
// normally kernel info is sent from the shell channel
// however, some frontends will send it on the control channel
// and it's no harm to send a kernel info reply on control
connection.send(kernel_info().as_child_of(&msg)).await?;
}
JupyterMessageContent::ShutdownRequest(_) => {
cancel_handle.cancel();
}
JupyterMessageContent::InterruptRequest(_) => {
log::error!("Interrupt request currently not supported");
}
JupyterMessageContent::DebugRequest(_) => {
log::error!("Debug request currently not supported");
// See https://jupyter-client.readthedocs.io/en/latest/messaging.html#debug-request
// and https://microsoft.github.io/debug-adapter-protocol/
}
_ => {
log::error!(
"Unrecognized control message type: {}",
msg.message_type()
);
}
}
}
}
async fn handle_shell(
&mut self,
mut connection: KernelShellConnection,
) -> Result<(), AnyError> {
loop {
let msg = connection.read().await?;
self.handle_shell_message(msg, &mut connection).await?;
}
}
async fn handle_shell_message(
&mut self,
msg: JupyterMessage,
connection: &mut KernelShellConnection,
) -> Result<(), AnyError> {
let parent = &msg.clone();
self
.send_iopub(messaging::Status::busy().as_child_of(parent))
.await?;
match msg.content {
JupyterMessageContent::ExecuteRequest(execute_request) => {
self
.handle_execution_request(execute_request, parent, connection)
.await?;
}
JupyterMessageContent::CompleteRequest(req) => {
let user_code = req.code;
let cursor_pos = req.cursor_pos;
let lsp_completions = self
.repl_session_proxy
.lsp_completions(user_code.clone(), cursor_pos)
.await;
if !lsp_completions.is_empty() {
let matches: Vec<String> = lsp_completions
.iter()
.map(|item| item.new_text.clone())
.collect();
let cursor_start = lsp_completions
.first()
.map(|item| item.range.start)
.unwrap_or(cursor_pos);
let cursor_end = lsp_completions
.last()
.map(|item| item.range.end)
.unwrap_or(cursor_pos);
connection
.send(
messaging::CompleteReply {
matches,
cursor_start,
cursor_end,
metadata: Default::default(),
status: ReplyStatus::Ok,
error: None,
}
.as_child_of(parent),
)
.await?;
} else {
let expr = get_expr_from_line_at_pos(&user_code, cursor_pos);
// check if the expression is in the form `obj.prop`
let (completions, cursor_start) = if let Some(index) = expr.rfind('.')
{
let sub_expr = &expr[..index];
let prop_name = &expr[index + 1..];
let candidates = get_expression_property_names(
&mut self.repl_session_proxy,
sub_expr,
)
.await
.into_iter()
.filter(|n| {
!n.starts_with("Symbol(")
&& n.starts_with(prop_name)
&& n != &*repl::REPL_INTERNALS_NAME
})
.collect();
if prop_name.len() > cursor_pos {
// TODO(bartlomieju): most likely not correct, but better than panicking because of sub with overflow
(candidates, cursor_pos)
} else {
(candidates, cursor_pos - prop_name.len())
}
} else {
// combine results of declarations and globalThis properties
let mut candidates = get_expression_property_names(
&mut self.repl_session_proxy,
"globalThis",
)
.await
.into_iter()
.chain(
get_global_lexical_scope_names(&mut self.repl_session_proxy)
.await,
)
.filter(|n| n.starts_with(expr) && n != &*repl::REPL_INTERNALS_NAME)
.collect::<Vec<_>>();
// sort and remove duplicates
candidates.sort();
candidates.dedup(); // make sure to sort first
if expr.len() > cursor_pos {
// TODO(bartlomieju): most likely not correct, but better than panicking because of sub with overflow
(candidates, cursor_pos)
} else {
(candidates, cursor_pos - expr.len())
}
};
connection
.send(
messaging::CompleteReply {
matches: completions,
cursor_start,
cursor_end: cursor_pos,
metadata: Default::default(),
status: ReplyStatus::Ok,
error: None,
}
.as_child_of(parent),
)
.await?;
}
}
JupyterMessageContent::InspectRequest(_req) => {
// TODO(bartlomieju?): implement introspection request
// The inspect request is used to get information about an object at cursor position.
// There are two detail levels: 0 is typically documentation, 1 is typically source code
// The response includes a MimeBundle to render the object:
// {
// "status": "ok",
// "found": true,
// "data": {
// "text/plain": "Plain documentation here",
// "text/html": "<div>Rich documentation here</div>",
// "application/json": {
// "key1": "value1",
// "key2": "value2"
// }
// },
// }
connection
.send(
messaging::InspectReply {
status: ReplyStatus::Ok,
found: false,
data: Default::default(),
metadata: Default::default(),
error: None,
}
.as_child_of(parent),
)
.await?;
}
JupyterMessageContent::IsCompleteRequest(_) => {
connection
.send(messaging::IsCompleteReply::complete().as_child_of(parent))
.await?;
}
JupyterMessageContent::KernelInfoRequest(_) => {
connection.send(kernel_info().as_child_of(parent)).await?;
}
JupyterMessageContent::CommOpen(comm) => {
connection
.send(
messaging::CommClose {
comm_id: comm.comm_id,
data: Default::default(),
}
.as_child_of(parent),
)
.await?;
}
JupyterMessageContent::HistoryRequest(_req) => {
connection
.send(
messaging::HistoryReply {
history: vec![],
error: None,
status: ReplyStatus::Ok,
}
.as_child_of(parent),
)
.await?;
}
JupyterMessageContent::InputReply(_rep) => {
// TODO(@zph): implement input reply from https://github.com/denoland/deno/pull/23592
// NOTE: This will belong on the stdin channel, not the shell channel
}
JupyterMessageContent::CommInfoRequest(_req) => {
connection
.send(
messaging::CommInfoReply {
comms: Default::default(),
status: ReplyStatus::Ok,
error: None,
}
.as_child_of(parent),
)
.await?;
}
JupyterMessageContent::CommMsg(_)
| JupyterMessageContent::CommClose(_) => {
// Do nothing with regular comm messages
}
// Any unknown message type is ignored
_ => {
log::error!(
"Unrecognized shell message type: {}",
msg.content.message_type()
);
}
}
self
.send_iopub(messaging::Status::idle().as_child_of(parent))
.await?;
Ok(())
}
async fn handle_execution_request(
&mut self,
execute_request: messaging::ExecuteRequest,
parent_message: &JupyterMessage,
connection: &mut KernelShellConnection,
) -> Result<(), AnyError> {
if !execute_request.silent && execute_request.store_history {
self.execution_count.increment();
}
*self.last_execution_request.lock() = Some(parent_message.clone());
self
.send_iopub(
messaging::ExecuteInput {
execution_count: self.execution_count,
code: execute_request.code.clone(),
}
.as_child_of(parent_message),
)
.await?;
let result = self
.repl_session_proxy
.evaluate_line_with_object_wrapping(execute_request.code)
.await;
let evaluate_response = match result {
Ok(eval_response) => eval_response,
Err(err) => {
self
.send_iopub(
messaging::ErrorOutput {
ename: err.to_string(),
evalue: err.to_string(),
traceback: vec![],
}
.as_child_of(parent_message),
)
.await?;
connection
.send(
messaging::ExecuteReply {
execution_count: self.execution_count,
status: ReplyStatus::Error,
payload: Default::default(),
user_expressions: None,
error: None,
}
.as_child_of(parent_message),
)
.await?;
return Ok(());
}
};
let cdp::EvaluateResponse {
result,
exception_details,
} = evaluate_response.value;
if exception_details.is_none() {
publish_result(
&mut self.repl_session_proxy,
&result,
self.execution_count,
)
.await?;
connection
.send(
messaging::ExecuteReply {
execution_count: self.execution_count,
status: ReplyStatus::Ok,
user_expressions: None,
payload: Default::default(),
error: None,
}
.as_child_of(parent_message),
)
.await?;
// Let's sleep here for a few ms, so we give a chance to the task that is
// handling stdout and stderr streams to receive and flush the content.
// Otherwise, executing multiple cells one-by-one might lead to output
// from various cells be grouped together in another cell result.
tokio::time::sleep(std::time::Duration::from_millis(5)).await;
} else if let Some(exception_details) = exception_details {
// Determine the exception value and name
let (name, message, stack) = if let Some(exception) =
exception_details.exception
{
let result = self
.repl_session_proxy
.call_function_on_args(
r#"
function(object) {
if (object instanceof Error) {
const name = "name" in object ? String(object.name) : "";
const message = "message" in object ? String(object.message) : "";
const stack = "stack" in object ? String(object.stack) : "";
return JSON.stringify({ name, message, stack });
} else {
const message = String(object);
return JSON.stringify({ name: "", message, stack: "" });
}
}
"#
.into(),
vec![exception],
)
.await?;
match result.result.value {
Some(serde_json::Value::String(str)) => {
if let Ok(object) =
serde_json::from_str::<HashMap<String, String>>(&str)
{
let get = |k| object.get(k).cloned().unwrap_or_default();
(get("name"), get("message"), get("stack"))
} else {
log::error!("Unexpected result while parsing JSON {str}");
("".into(), "".into(), "".into())
}
}
_ => {
log::error!("Unexpected result while parsing exception {result:?}");
("".into(), "".into(), "".into())
}
}
} else {
log::error!("Unexpectedly missing exception {exception_details:?}");
("".into(), "".into(), "".into())
};
let stack = if stack.is_empty() {
format!(
"{}\n at <unknown>",
serde_json::to_string(&message).unwrap()
)
} else {
stack
};
let traceback = format!("Stack trace:\n{stack}")
.split('\n')
.map(|s| s.to_owned())
.collect::<Vec<_>>();
let ename = if name.is_empty() {
"Unknown error".into()
} else {
name
};
let evalue = if message.is_empty() {
"(none)".into()
} else {
message
};
self
.send_iopub(
messaging::ErrorOutput {
ename: ename.clone(),
evalue: evalue.clone(),
traceback: traceback.clone(),
}
.as_child_of(parent_message),
)
.await?;
connection
.send(
messaging::ExecuteReply {
execution_count: self.execution_count,
status: ReplyStatus::Error,
error: Some(Box::new(ReplyError {
ename,
evalue,
traceback,
})),
user_expressions: None,
payload: Default::default(),
}
.as_child_of(parent_message),
)
.await?;
}
Ok(())
}
async fn send_iopub(
&mut self,
message: JupyterMessage,
) -> Result<(), AnyError> {
self.iopub_connection.lock().send(message.clone()).await
}
}
fn kernel_info() -> messaging::KernelInfoReply {
messaging::KernelInfoReply {
status: ReplyStatus::Ok,
protocol_version: "5.3".to_string(),
implementation: "Deno kernel".to_string(),
implementation_version: crate::version::DENO_VERSION_INFO.deno.to_string(),
language_info: messaging::LanguageInfo {
name: "typescript".to_string(),
version: crate::version::DENO_VERSION_INFO.typescript.to_string(),
mimetype: "text/x.typescript".to_string(),
file_extension: ".ts".to_string(),
pygments_lexer: "typescript".to_string(),
codemirror_mode: messaging::CodeMirrorMode::typescript(),
nbconvert_exporter: "script".to_string(),
},
banner: "Welcome to Deno kernel".to_string(),
help_links: vec![messaging::HelpLink {
text: "Visit Deno manual".to_string(),
url: "https://docs.deno.com".to_string(),
}],
debugger: false,
error: None,
}
}
async fn publish_result(
repl_session_proxy: &mut JupyterReplProxy,
evaluate_result: &cdp::RemoteObject,
execution_count: ExecutionCount,
) -> Result<Option<HashMap<String, serde_json::Value>>, AnyError> {
let arg0 = cdp::CallArgument {
value: Some(execution_count.into()),
unserializable_value: None,
object_id: None,
};
let arg1 = cdp::CallArgument::from(evaluate_result);
let Some(response) = repl_session_proxy.call_function_on(arg0, arg1).await
else {
return Ok(None);
};
if let Some(exception_details) = &response.exception_details {
// If the object doesn't have a Jupyter.display method or it throws an
// exception, we just ignore it and let the caller handle it.
log::error!("Exception encountered: {}", exception_details.text);
return Ok(None);
}
Ok(None)
}
// TODO(bartlomieju): dedup with repl::editor
fn get_expr_from_line_at_pos(line: &str, cursor_pos: usize) -> &str {
let start = line[..cursor_pos].rfind(is_word_boundary).unwrap_or(0);
let end = line[cursor_pos..]
.rfind(is_word_boundary)
.map(|i| cursor_pos + i)
.unwrap_or(cursor_pos);
let word = &line[start..end];
let word = word.strip_prefix(is_word_boundary).unwrap_or(word);
let word = word.strip_suffix(is_word_boundary).unwrap_or(word);
word
}
// TODO(bartlomieju): dedup with repl::editor
fn is_word_boundary(c: char) -> bool {
if matches!(c, '.' | '_' | '$') {
false
} else {
char::is_ascii_whitespace(&c) || char::is_ascii_punctuation(&c)
}
}
// TODO(bartlomieju): dedup with repl::editor
async fn get_global_lexical_scope_names(
repl_session_proxy: &mut JupyterReplProxy,
) -> Vec<String> {
repl_session_proxy.global_lexical_scope_names().await.names
}
// TODO(bartlomieju): dedup with repl::editor
async fn get_expression_property_names(
repl_session_proxy: &mut JupyterReplProxy,
expr: &str,
) -> Vec<String> {
// try to get the properties from the expression
if let Some(properties) =
get_object_expr_properties(repl_session_proxy, expr).await
{
return properties;
}
// otherwise fall back to the prototype
let expr_type = get_expression_type(repl_session_proxy, expr).await;
let object_expr = match expr_type.as_deref() {
// possibilities: https://chromedevtools.github.io/devtools-protocol/v8/Runtime/#type-RemoteObject
Some("object") => "Object.prototype",
Some("function") => "Function.prototype",
Some("string") => "String.prototype",
Some("boolean") => "Boolean.prototype",
Some("bigint") => "BigInt.prototype",
Some("number") => "Number.prototype",
_ => return Vec::new(), // undefined, symbol, and unhandled
};
get_object_expr_properties(repl_session_proxy, object_expr)
.await
.unwrap_or_default()
}
// TODO(bartlomieju): dedup with repl::editor
async fn get_expression_type(
repl_session_proxy: &mut JupyterReplProxy,
expr: &str,
) -> Option<String> {
evaluate_expression(repl_session_proxy, expr)
.await
.map(|res| res.result.kind)
}
// TODO(bartlomieju): dedup with repl::editor
async fn get_object_expr_properties(
repl_session_proxy: &mut JupyterReplProxy,
object_expr: &str,
) -> Option<Vec<String>> {
let evaluate_result =
evaluate_expression(repl_session_proxy, object_expr).await?;
let object_id = evaluate_result.result.object_id?;
let get_properties_response =
repl_session_proxy.get_properties(object_id.clone()).await?;
Some(
get_properties_response
.result
.into_iter()
.map(|prop| prop.name)
.collect(),
)
}
// TODO(bartlomieju): dedup with repl::editor
async fn evaluate_expression(
repl_session_proxy: &mut JupyterReplProxy,
expr: &str,
) -> Option<cdp::EvaluateResponse> {
let evaluate_response = repl_session_proxy.evaluate(expr.to_string()).await?;
if evaluate_response.exception_details.is_some() {
None
} else {
Some(evaluate_response)
}
}