dsh-better-sidebar-jupyter
Jupyter notebook support for dsh-better-sidebar:
.ipynb files open inline in the sidebar editor as a runnable notebook view —
Python syntax highlighting, cell execution through a lazy-start Python kernel
(jupyter_client + ipykernel via python/bridge.py), streaming outputs, and
save-back.
Merged from the Jupyter support of @dong-victor/dsh-explorer, adapted to the
better-sidebar plugin architecture: the viewer registers through the
ctx.betterSidebar.registerFileViewer service, and every route is
session-scoped — the notebook must live inside the conversation's working
directory.
Requirements
- dsh-better-sidebar ≥ 0.13.0 (the
registerFileViewer service)
- Python with
jupyter_client and ipykernel for cell execution:
pip install jupyter_client ipykernel
Install
cd ~/.dsh && dsh plugin --profile web add @dong-victor/dsh-better-sidebar-jupyter
(or add it from the Side card settings → 文件预览 → “添加预览插件”.)
What you get
.ipynb opens in the sidebar editor (single-click in the explorer / any
open-path flow), rendered by the inline notebook viewer.
- IDEA/PyCharm-style run mode — shortcuts and toolbar mirror IntelliJ's
Jupyter support (Windows keymap):
Ctrl+Enter — run the current cell (stays in the cell for editing).
Shift+Enter — run the current cell and select the cell below; when
there is no cell below, a new one is created (IDEA behavior).
Ctrl+Alt+Shift+Enter — run all code cells.
Ctrl+F2 — interrupt the running kernel.
Ctrl+Home / Ctrl+End — move the caret to the start/end of the current
cell; outside an editor, focus the first/last cell of the notebook.
Ctrl/Cmd+S — save.
- IDEA toolbar: ▶ Run cell and select below · ▶▶ Run all · ■ Interrupt ·
↻ Restart · ⏻ Shutdown · 🧹 Clear all outputs · + Add cell below · ↑/↓ Move
cell · cell-type selector (Code/Markdown/Raw) · ⇡/⇣ select above/below ·
kernel status widget (state + kernel name) · save.
- Per-cell IDEA affordances: green ▶ gutter run button on every code cell
(hover/selected),
In [n] execution counter, Out[n] on results, and the
execution duration in the cell's lower-left corner (hover shows the
completion date/time). Error outputs render as collapsible tracebacks
(IDEA-style summary row + expand toggle).
- Lazy kernel: the Python bridge starts on the first run — no startup cost for
plain browsing. Kernels keep running in the background while the editor is
closed, and finished executions are written back into the
.ipynb file
(run-all survives tab switches / session switches / reconnects). Reopening a
notebook — or coming back after switching sessions — re-syncs the whole
batch: the executing cell shows as running with its latest partial output,
and the queued tail of a run-all batch shows as queued.
- Explorer indicator: notebooks whose kernel is alive get a green dot
next to their file name in the sidebar file browser (pulsing while a cell
executes), so a background run is visible even with the notebook closed.
- Syntax highlighting follows the app theme (IDEA/Darcula-style Python
highlighting,
--dsw-* tokens).
Architecture
src/index.ts (host half): mounts the fenced routes
/api/dsh-better-sidebar-jupyter/* (env / notebook GET+PUT / kernel
lifecycle) and the kernel WebSocket upgrade, with one KernelManager per
notebook path. Every request carries sessionId (+ optional cwd) and a
path; src/host/gate.ts requires the canonical path to live inside the
session's authoritative working directory.
python/bridge.py: a JSON-lines RPC shim that owns the real Jupyter kernel
(all ZeroMQ handling stays in Python — no native ZMQ bindings in Node).
src/client/ (client half): the .ipynb file viewer (NotebookView) wraps
the notebook editor UI (EditorView + cells + outputs), talking to the host
through a session-scoped JupyterApi.
Security
All routes pass the same browser-trust fence as the DSH /api gateway
(Host-header loopback or trustedHosts), and notebook paths are gated to the
session's cwd — a cross-site page cannot reach the kernel or read/write files
outside the conversation's directory.
License
MIT