Closes: https://github.com/denoland/deno/issues/22633
This commit adds support for `confirm` and `prompt` APIs,
that instead of reading from stdin are using notebook frontend
to show modal boxes and wait for answers.
---------
Co-authored-by: Bartek Iwańczuk <biwanczuk@gmail.com>
Brings in:
* More fully typed structures (for when we get to implementing more)
* `with_metadata`, `with_buffers`, etc. from
https://github.com/runtimed/runtimed/pull/99
---------
Co-authored-by: Bartek Iwańczuk <biwanczuk@gmail.com>
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
1. Generally we should prefer to use the `log` crate.
2. I very often accidentally commit `eprintln`s.
When we should use `println` or `eprintln`, it's not too bad to be a bit
more verbose and ignore the lint rule.
Node HTTP/2 was using the default h2 `Bytes` datatype when we can be
making using of `BufView` like we do in `Deno.serve`.
`fetch` and `Deno.serverHttp` can't make use of `BufView` because they
are using `reqwest` which is stuck on hyper 0.x at this time.
Adds `buffers` to the `Deno.jupyter.broadcast` API to send binary data
via comms. This affords the ability to send binary data via websockets
to the jupyter widget frontend.
