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Code Issues Packages 1 Wiki Activity

refactor(jupyter): move ZeroMQ server to a separate thread (#24373)

Browse source 
Moves the ZeroMQ messaging server to a separate thread.

This will allow to run blocking JS code and maintain communication
with the notebook frontend.

Towards https://github.com/denoland/deno/pull/23592
Towards https://github.com/denoland/deno/pull/24250
Closes https://github.com/denoland/deno/issues/23617
This commit is contained in:
Bartek Iwańczuk 2024-07-02 23:37:54 +01:00 committed by GitHub
parent c13b6d1413
commit 7d919f6fd9
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
4 changed files with 483 additions and 150 deletions
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4
cli/ops/jupyter.rs
View file

@ -45,11 +45,11 @@ pub async fn op_jupyter_broadcast(
(
s.borrow::<Arc<Mutex<KernelIoPubConnection>>>().clone(),
s.borrow::<Rc<RefCell<Option<JupyterMessage>>>>().clone(),
s.borrow::<Arc<Mutex<Option<JupyterMessage>>>>().clone(),
)
};
let maybe_last_request = last_execution_request.borrow().clone();
let maybe_last_request = last_execution_request.lock().await.clone();
if let Some(last_request) = maybe_last_request {
let content = JupyterMessageContent::from_type_and_content(
&message_type,

379
cli/tools/jupyter/mod.rs
View file

@ -2,18 +2,23 @@
use crate::args::Flags;
use crate::args::JupyterFlags;
use crate::cdp;
use crate::lsp::ReplCompletionItem;
use crate::ops;
use crate::tools::repl;
use crate::tools::test::create_single_test_event_channel;
use crate::tools::test::reporters::PrettyTestReporter;
use crate::tools::test::TestEventWorkerSender;
use crate::CliFactory;
use deno_core::anyhow::bail;
use deno_core::anyhow::Context;
use deno_core::error::generic_error;
use deno_core::error::AnyError;
use deno_core::futures::FutureExt;
use deno_core::located_script_name;
use deno_core::resolve_url_or_path;
use deno_core::serde_json;
use deno_core::serde_json::json;
use deno_core::url::Url;
use deno_runtime::deno_io::Stdio;
use deno_runtime::deno_io::StdioPipe;
@ -21,11 +26,11 @@ use deno_runtime::deno_permissions::Permissions;
use deno_runtime::deno_permissions::PermissionsContainer;
use deno_runtime::WorkerExecutionMode;
use deno_terminal::colors;
use jupyter_runtime::jupyter::ConnectionInfo;
use jupyter_runtime::messaging::StreamContent;
use tokio::sync::mpsc;
use tokio::sync::mpsc::UnboundedSender;
use tokio::sync::oneshot;
mod install;
pub mod server;
@ -142,7 +147,377 @@ pub async fn kernel(
)
}));
server::JupyterServer::start(spec, stdio_rx, repl_session).await?;
let (tx1, rx1) = mpsc::unbounded_channel();
let (tx2, rx2) = mpsc::unbounded_channel();
let (startup_data_tx, startup_data_rx) =
oneshot::channel::<server::StartupData>();
let mut repl_session_proxy = JupyterReplSession {
repl_session,
rx: rx1,
tx: tx2,
};
let repl_session_proxy_channels = JupyterReplProxy { tx: tx1, rx: rx2 };
let join_handle = std::thread::spawn(move || {
let fut = server::JupyterServer::start(
spec,
stdio_rx,
repl_session_proxy_channels,
startup_data_tx,
)
.boxed_local();
deno_runtime::tokio_util::create_and_run_current_thread(fut)
});
let Ok(startup_data) = startup_data_rx.await else {
bail!("Failed to acquire startup data");
};
{
let op_state_rc =
repl_session_proxy.repl_session.worker.js_runtime.op_state();
let mut op_state = op_state_rc.borrow_mut();
op_state.put(startup_data.iopub_connection.clone());
op_state.put(startup_data.last_execution_request.clone());
}
repl_session_proxy.start().await;
let server_result = join_handle.join();
match server_result {
Ok(result) => {
result?;
}
Err(e) => {
bail!("Jupyter kernel error: {:?}", e);
}
};
Ok(())
}
pub enum JupyterReplRequest {
LspCompletions {
line_text: String,
position: usize,
},
JsGetProperties {
object_id: String,
},
JsEvaluate {
expr: String,
},
JsGlobalLexicalScopeNames,
JsEvaluateLineWithObjectWrapping {
line: String,
},
JsCallFunctionOnArgs {
function_declaration: String,
args: Vec<cdp::RemoteObject>,
},
JsCallFunctionOn {
arg0: cdp::CallArgument,
arg1: cdp::CallArgument,
},
}
pub enum JupyterReplResponse {
LspCompletions(Vec<ReplCompletionItem>),
JsGetProperties(Option<cdp::GetPropertiesResponse>),
JsEvaluate(Option<cdp::EvaluateResponse>),
JsGlobalLexicalScopeNames(cdp::GlobalLexicalScopeNamesResponse),
JsEvaluateLineWithObjectWrapping(Result<repl::TsEvaluateResponse, AnyError>),
JsCallFunctionOnArgs(Result<cdp::CallFunctionOnResponse, AnyError>),
JsCallFunctionOn(Option<cdp::CallFunctionOnResponse>),
}
pub struct JupyterReplProxy {
tx: mpsc::UnboundedSender<JupyterReplRequest>,
rx: mpsc::UnboundedReceiver<JupyterReplResponse>,
}
impl JupyterReplProxy {
pub async fn lsp_completions(
&mut self,
line_text: String,
position: usize,
) -> Vec<ReplCompletionItem> {
let _ = self.tx.send(JupyterReplRequest::LspCompletions {
line_text,
position,
});
let Some(JupyterReplResponse::LspCompletions(resp)) = self.rx.recv().await
else {
unreachable!()
};
resp
}
pub async fn get_properties(
&mut self,
object_id: String,
) -> Option<cdp::GetPropertiesResponse> {
let _ = self
.tx
.send(JupyterReplRequest::JsGetProperties { object_id });
let Some(JupyterReplResponse::JsGetProperties(resp)) = self.rx.recv().await
else {
unreachable!()
};
resp
}
pub async fn evaluate(
&mut self,
expr: String,
) -> Option<cdp::EvaluateResponse> {
let _ = self.tx.send(JupyterReplRequest::JsEvaluate { expr });
let Some(JupyterReplResponse::JsEvaluate(resp)) = self.rx.recv().await
else {
unreachable!()
};
resp
}
pub async fn global_lexical_scope_names(
&mut self,
) -> cdp::GlobalLexicalScopeNamesResponse {
let _ = self.tx.send(JupyterReplRequest::JsGlobalLexicalScopeNames);
let Some(JupyterReplResponse::JsGlobalLexicalScopeNames(resp)) =
self.rx.recv().await
else {
unreachable!()
};
resp
}
pub async fn evaluate_line_with_object_wrapping(
&mut self,
line: String,
) -> Result<repl::TsEvaluateResponse, AnyError> {
let _ = self
.tx
.send(JupyterReplRequest::JsEvaluateLineWithObjectWrapping { line });
let Some(JupyterReplResponse::JsEvaluateLineWithObjectWrapping(resp)) =
self.rx.recv().await
else {
unreachable!()
};
resp
}
pub async fn call_function_on_args(
&mut self,
function_declaration: String,
args: Vec<cdp::RemoteObject>,
) -> Result<cdp::CallFunctionOnResponse, AnyError> {
let _ = self.tx.send(JupyterReplRequest::JsCallFunctionOnArgs {
function_declaration,
args,
});
let Some(JupyterReplResponse::JsCallFunctionOnArgs(resp)) =
self.rx.recv().await
else {
unreachable!()
};
resp
}
// TODO(bartlomieju): rename to "broadcast_result"?
pub async fn call_function_on(
&mut self,
arg0: cdp::CallArgument,
arg1: cdp::CallArgument,
) -> Option<cdp::CallFunctionOnResponse> {
let _ = self
.tx
.send(JupyterReplRequest::JsCallFunctionOn { arg0, arg1 });
let Some(JupyterReplResponse::JsCallFunctionOn(resp)) =
self.rx.recv().await
else {
unreachable!()
};
resp
}
}
pub struct JupyterReplSession {
repl_session: repl::ReplSession,
rx: mpsc::UnboundedReceiver<JupyterReplRequest>,
tx: mpsc::UnboundedSender<JupyterReplResponse>,
}
impl JupyterReplSession {
pub async fn start(&mut self) {
loop {
let Some(msg) = self.rx.recv().await else {
break;
};
let resp = match msg {
JupyterReplRequest::LspCompletions {
line_text,
position,
} => JupyterReplResponse::LspCompletions(
self.lsp_completions(&line_text, position).await,
),
JupyterReplRequest::JsGetProperties { object_id } => {
JupyterReplResponse::JsGetProperties(
self.get_properties(object_id).await,
)
}
JupyterReplRequest::JsEvaluate { expr } => {
JupyterReplResponse::JsEvaluate(self.evaluate(expr).await)
}
JupyterReplRequest::JsGlobalLexicalScopeNames => {
JupyterReplResponse::JsGlobalLexicalScopeNames(
self.global_lexical_scope_names().await,
)
}
JupyterReplRequest::JsEvaluateLineWithObjectWrapping { line } => {
JupyterReplResponse::JsEvaluateLineWithObjectWrapping(
self.evaluate_line_with_object_wrapping(&line).await,
)
}
JupyterReplRequest::JsCallFunctionOnArgs {
function_declaration,
args,
} => JupyterReplResponse::JsCallFunctionOnArgs(
self
.call_function_on_args(function_declaration, &args)
.await,
),
JupyterReplRequest::JsCallFunctionOn { arg0, arg1 } => {
JupyterReplResponse::JsCallFunctionOn(
self.call_function_on(arg0, arg1).await,
)
}
};
let Ok(()) = self.tx.send(resp) else {
break;
};
}
}
pub async fn lsp_completions(
&mut self,
line_text: &str,
position: usize,
) -> Vec<ReplCompletionItem> {
self
.repl_session
.language_server
.completions(line_text, position)
.await
}
pub async fn get_properties(
&mut self,
object_id: String,
) -> Option<cdp::GetPropertiesResponse> {
let get_properties_response = self
.repl_session
.post_message_with_event_loop(
"Runtime.getProperties",
Some(cdp::GetPropertiesArgs {
object_id,
own_properties: None,
accessor_properties_only: None,
generate_preview: None,
non_indexed_properties_only: Some(true),
}),
)
.await
.ok()?;
serde_json::from_value(get_properties_response).ok()
}
pub async fn evaluate(
&mut self,
expr: String,
) -> Option<cdp::EvaluateResponse> {
let evaluate_response: serde_json::Value = self
.repl_session
.post_message_with_event_loop(
"Runtime.evaluate",
Some(cdp::EvaluateArgs {
expression: expr,
object_group: None,
include_command_line_api: None,
silent: None,
context_id: Some(self.repl_session.context_id),
return_by_value: None,
generate_preview: None,
user_gesture: None,
await_promise: None,
throw_on_side_effect: Some(true),
timeout: Some(200),
disable_breaks: None,
repl_mode: None,
allow_unsafe_eval_blocked_by_csp: None,
unique_context_id: None,
}),
)
.await
.ok()?;
serde_json::from_value(evaluate_response).ok()
}
pub async fn global_lexical_scope_names(
&mut self,
) -> cdp::GlobalLexicalScopeNamesResponse {
let evaluate_response = self
.repl_session
.post_message_with_event_loop(
"Runtime.globalLexicalScopeNames",
Some(cdp::GlobalLexicalScopeNamesArgs {
execution_context_id: Some(self.repl_session.context_id),
}),
)
.await
.unwrap();
serde_json::from_value(evaluate_response).unwrap()
}
pub async fn evaluate_line_with_object_wrapping(
&mut self,
line: &str,
) -> Result<repl::TsEvaluateResponse, AnyError> {
self
.repl_session
.evaluate_line_with_object_wrapping(line)
.await
}
pub async fn call_function_on_args(
&mut self,
function_declaration: String,
args: &[cdp::RemoteObject],
) -> Result<cdp::CallFunctionOnResponse, AnyError> {
self
.repl_session
.call_function_on_args(function_declaration, args)
.await
}
// TODO(bartlomieju): rename to "broadcast_result"?
pub async fn call_function_on(
&mut self,
arg0: cdp::CallArgument,
arg1: cdp::CallArgument,
) -> Option<cdp::CallFunctionOnResponse> {
let response = self.repl_session
.post_message_with_event_loop(
"Runtime.callFunctionOn",
Some(json!({
"functionDeclaration": r#"async function (execution_count, result) {
await Deno[Deno.internal].jupyter.broadcastResult(execution_count, result);
}"#,
"arguments": [arg0, arg1],
"executionContextId": self.repl_session.context_id,
"awaitPromise": true,
})),
)
.await.ok()?;
serde_json::from_value(response).ok()
}
}

219
cli/tools/jupyter/server.rs
View file

@ -3,20 +3,20 @@
// This file is forked/ported from <https://github.com/evcxr/evcxr>
// Copyright 2020 The Evcxr Authors. MIT license.
use std::cell::RefCell;
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::serde_json;
use deno_core::serde_json::json;
use deno_core::CancelFuture;
use deno_core::CancelHandle;
use tokio::sync::mpsc;
use tokio::sync::oneshot;
use tokio::sync::Mutex;
use jupyter_runtime::messaging;
@ -25,27 +25,32 @@ use jupyter_runtime::ConnectionInfo;
use jupyter_runtime::JupyterMessage;
use jupyter_runtime::JupyterMessageContent;
use jupyter_runtime::KernelControlConnection;
use jupyter_runtime::KernelHeartbeatConnection;
use jupyter_runtime::KernelIoPubConnection;
use jupyter_runtime::KernelShellConnection;
use jupyter_runtime::ReplyError;
use jupyter_runtime::ReplyStatus;
use jupyter_runtime::StreamContent;
use super::JupyterReplProxy;
pub struct JupyterServer {
execution_count: usize,
last_execution_request: Rc<RefCell<Option<JupyterMessage>>>,
// This is Arc<Mutex<>>, so we don't hold RefCell borrows across await
// points.
last_execution_request: Arc<Mutex<Option<JupyterMessage>>>,
iopub_connection: Arc<Mutex<KernelIoPubConnection>>,
repl_session: repl::ReplSession,
repl_session_proxy: JupyterReplProxy,
}
pub struct StartupData {
pub iopub_connection: Arc<Mutex<KernelIoPubConnection>>,
pub last_execution_request: Arc<Mutex<Option<JupyterMessage>>>,
}
impl JupyterServer {
pub async fn start(
connection_info: ConnectionInfo,
mut stdio_rx: mpsc::UnboundedReceiver<StreamContent>,
mut repl_session: repl::ReplSession,
repl_session_proxy: JupyterReplProxy,
setup_tx: oneshot::Sender<StartupData>,
) -> Result<(), AnyError> {
let mut heartbeat =
connection_info.create_kernel_heartbeat_connection().await?;
@ -59,15 +64,14 @@ impl JupyterServer {
connection_info.create_kernel_iopub_connection().await?;
let iopub_connection = Arc::new(Mutex::new(iopub_connection));
let last_execution_request = Rc::new(RefCell::new(None));
let last_execution_request = Arc::new(Mutex::new(None));
// Store `iopub_connection` in the op state so it's accessible to the runtime API.
{
let op_state_rc = repl_session.worker.js_runtime.op_state();
let mut op_state = op_state_rc.borrow_mut();
op_state.put(iopub_connection.clone());
op_state.put(last_execution_request.clone());
}
let Ok(()) = setup_tx.send(StartupData {
iopub_connection: iopub_connection.clone(),
last_execution_request: last_execution_request.clone(),
}) else {
bail!("Failed to send startup data");
};
let cancel_handle = CancelHandle::new_rc();
@ -75,20 +79,22 @@ impl JupyterServer {
execution_count: 0,
iopub_connection: iopub_connection.clone(),
last_execution_request: last_execution_request.clone(),
repl_session,
repl_session_proxy,
};
let handle1 = deno_core::unsync::spawn(async move {
if let Err(err) = Self::handle_heartbeat(&mut heartbeat).await {
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 handle2 = deno_core::unsync::spawn({
let control_fut = deno_core::unsync::spawn({
let cancel_handle = cancel_handle.clone();
async move {
if let Err(err) =
@ -103,13 +109,13 @@ impl JupyterServer {
}
});
let handle3 = deno_core::unsync::spawn(async move {
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 handle4 = deno_core::unsync::spawn(async move {
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(),
@ -120,8 +126,15 @@ impl JupyterServer {
}
});
let join_fut =
futures::future::try_join_all(vec![handle1, handle2, handle3, handle4]);
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,
]);
if let Ok(result) = join_fut.or_cancel(cancel_handle).await {
result?;
@ -132,28 +145,21 @@ impl JupyterServer {
async fn handle_stdio_msg(
iopub_connection: Arc<Mutex<KernelIoPubConnection>>,
last_execution_request: Rc<RefCell<Option<JupyterMessage>>>,
last_execution_request: Arc<Mutex<Option<JupyterMessage>>>,
stdio_msg: StreamContent,
) {
let maybe_exec_result = last_execution_request.borrow().clone();
if let Some(exec_request) = maybe_exec_result {
let result = (iopub_connection.lock().await)
.send(stdio_msg.as_child_of(&exec_request))
.await;
let maybe_exec_result = last_execution_request.lock().await.clone();
let Some(exec_request) = maybe_exec_result else {
return;
};
let mut iopub_conn = iopub_connection.lock().await;
let result = iopub_conn.send(stdio_msg.as_child_of(&exec_request)).await;
if let Err(err) = result {
log::error!("Output error: {}", err);
}
}
}
async fn handle_heartbeat(
connection: &mut KernelHeartbeatConnection,
) -> Result<(), AnyError> {
loop {
connection.single_heartbeat().await?;
}
}
async fn handle_control(
mut connection: KernelControlConnection,
@ -222,9 +228,8 @@ impl JupyterServer {
let cursor_pos = req.cursor_pos;
let lsp_completions = self
.repl_session
.language_server
.completions(&user_code, cursor_pos)
.repl_session_proxy
.lsp_completions(user_code.clone(), cursor_pos)
.await;
if !lsp_completions.is_empty() {
@ -263,8 +268,10 @@ impl JupyterServer {
{
let sub_expr = &expr[..index];
let prop_name = &expr[index + 1..];
let candidates =
get_expression_property_names(&mut self.repl_session, sub_expr)
let candidates = get_expression_property_names(
&mut self.repl_session_proxy,
sub_expr,
)
.await
.into_iter()
.filter(|n| {
@ -278,12 +285,15 @@ impl JupyterServer {
} else {
// combine results of declarations and globalThis properties
let mut candidates = get_expression_property_names(
&mut self.repl_session,
&mut self.repl_session_proxy,
"globalThis",
)
.await
.into_iter()
.chain(get_global_lexical_scope_names(&mut self.repl_session).await)
.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<_>>();
@ -419,7 +429,7 @@ impl JupyterServer {
if !execute_request.silent && execute_request.store_history {
self.execution_count += 1;
}
*self.last_execution_request.borrow_mut() = Some(parent_message.clone());
*self.last_execution_request.lock().await = Some(parent_message.clone());
self
.send_iopub(
@ -432,8 +442,8 @@ impl JupyterServer {
.await?;
let result = self
.repl_session
.evaluate_line_with_object_wrapping(&execute_request.code)
.repl_session_proxy
.evaluate_line_with_object_wrapping(execute_request.code)
.await;
let evaluate_response = match result {
@ -471,7 +481,11 @@ impl JupyterServer {
} = evaluate_response.value;
if exception_details.is_none() {
publish_result(&mut self.repl_session, &result, self.execution_count)
publish_result(
&mut self.repl_session_proxy,
&result,
self.execution_count,
)
.await?;
connection
@ -497,7 +511,7 @@ impl JupyterServer {
exception_details.exception
{
let result = self
.repl_session
.repl_session_proxy
.call_function_on_args(
r#"
function(object) {
@ -513,7 +527,7 @@ impl JupyterServer {
}
"#
.into(),
&[exception],
vec![exception],
)
.await?;
@ -629,7 +643,7 @@ fn kernel_info() -> messaging::KernelInfoReply {
}
async fn publish_result(
session: &mut repl::ReplSession,
repl_session_proxy: &mut JupyterReplProxy,
evaluate_result: &cdp::RemoteObject,
execution_count: usize,
) -> Result<Option<HashMap<String, serde_json::Value>>, AnyError> {
@ -641,21 +655,10 @@ async fn publish_result(
let arg1 = cdp::CallArgument::from(evaluate_result);
let response = session
.post_message_with_event_loop(
"Runtime.callFunctionOn",
Some(json!({
"functionDeclaration": r#"async function (execution_count, result) {
await Deno[Deno.internal].jupyter.broadcastResult(execution_count, result);
}"#,
"arguments": [arg0, arg1],
"executionContextId": session.context_id,
"awaitPromise": true,
})),
)
.await?;
let response: cdp::CallFunctionOnResponse = serde_json::from_value(response)?;
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
@ -693,34 +696,25 @@ fn is_word_boundary(c: char) -> bool {
// TODO(bartlomieju): dedup with repl::editor
async fn get_global_lexical_scope_names(
session: &mut repl::ReplSession,
repl_session_proxy: &mut JupyterReplProxy,
) -> Vec<String> {
let evaluate_response = session
.post_message_with_event_loop(
"Runtime.globalLexicalScopeNames",
Some(cdp::GlobalLexicalScopeNamesArgs {
execution_context_id: Some(session.context_id),
}),
)
.await
.unwrap();
let evaluate_response: cdp::GlobalLexicalScopeNamesResponse =
serde_json::from_value(evaluate_response).unwrap();
evaluate_response.names
repl_session_proxy.global_lexical_scope_names().await.names
}
// TODO(bartlomieju): dedup with repl::editor
async fn get_expression_property_names(
session: &mut repl::ReplSession,
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(session, expr).await {
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(session, expr).await;
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",
@ -732,44 +726,32 @@ async fn get_expression_property_names(
_ => return Vec::new(), // undefined, symbol, and unhandled
};
get_object_expr_properties(session, object_expr)
get_object_expr_properties(repl_session_proxy, object_expr)
.await
.unwrap_or_default()
}
// TODO(bartlomieju): dedup with repl::editor
async fn get_expression_type(
session: &mut repl::ReplSession,
repl_session_proxy: &mut JupyterReplProxy,
expr: &str,
) -> Option<String> {
evaluate_expression(session, expr)
evaluate_expression(repl_session_proxy, expr)
.await
.map(|res| res.result.kind)
}
// TODO(bartlomieju): dedup with repl::editor
async fn get_object_expr_properties(
session: &mut repl::ReplSession,
repl_session_proxy: &mut JupyterReplProxy,
object_expr: &str,
) -> Option<Vec<String>> {
let evaluate_result = evaluate_expression(session, object_expr).await?;
let evaluate_result =
evaluate_expression(repl_session_proxy, object_expr).await?;
let object_id = evaluate_result.result.object_id?;
let get_properties_response = session
.post_message_with_event_loop(
"Runtime.getProperties",
Some(cdp::GetPropertiesArgs {
object_id,
own_properties: None,
accessor_properties_only: None,
generate_preview: None,
non_indexed_properties_only: Some(true),
}),
)
.await
.ok()?;
let get_properties_response: cdp::GetPropertiesResponse =
serde_json::from_value(get_properties_response).ok()?;
let get_properties_response =
repl_session_proxy.get_properties(object_id.clone()).await?;
Some(
get_properties_response
.result
@ -781,35 +763,10 @@ async fn get_object_expr_properties(
// TODO(bartlomieju): dedup with repl::editor
async fn evaluate_expression(
session: &mut repl::ReplSession,
repl_session_proxy: &mut JupyterReplProxy,
expr: &str,
) -> Option<cdp::EvaluateResponse> {
let evaluate_response = session
.post_message_with_event_loop(
"Runtime.evaluate",
Some(cdp::EvaluateArgs {
expression: expr.to_string(),
object_group: None,
include_command_line_api: None,
silent: None,
context_id: Some(session.context_id),
return_by_value: None,
generate_preview: None,
user_gesture: None,
await_promise: None,
throw_on_side_effect: Some(true),
timeout: Some(200),
disable_breaks: None,
repl_mode: None,
allow_unsafe_eval_blocked_by_csp: None,
unique_context_id: None,
}),
)
.await
.ok()?;
let evaluate_response: cdp::EvaluateResponse =
serde_json::from_value(evaluate_response).ok()?;
let evaluate_response = repl_session_proxy.evaluate(expr.to_string()).await?;
if evaluate_response.exception_details.is_some() {
None
} else {

1
cli/tools/repl/mod.rs
View file

@ -30,6 +30,7 @@ use editor::EditorHelper;
use editor::ReplEditor;
pub use session::EvaluationOutput;
pub use session::ReplSession;
pub use session::TsEvaluateResponse;
pub use session::REPL_INTERNALS_NAME;
use super::test::create_single_test_event_channel;