Files
fn_registry/python/functions/notebook/jupyter_write.md
T
egutierrez 268a76602a feat: funciones Jupyter notebook Python — discover, read, write, exec, kernel
Funciones Python para interactuar con Jupyter Lab programáticamente:
descubrir instancias, leer/escribir celdas, ejecutar código y gestionar kernels.
Reemplazan MCP jupyter con API REST + WebSocket directa.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-01 20:55:39 +02:00

112 lines
4.1 KiB
Markdown

---
name: jupyter_write
kind: function
lang: py
domain: notebook
version: "1.0.0"
purity: impure
signature: "def jupyter_append_code(notebook_path: str, source: str, server_url: str = 'http://localhost:8888', token: str = '') -> dict"
description: "Operaciones de escritura sobre celdas de un notebook Jupyter via colaboracion en tiempo real (WebSocket). Expone cinco operaciones: append_code, append_markdown, insert, edit, delete. NO ejecuta celdas — solo modifica la estructura del notebook."
tags: [jupyter, notebook, websocket, cell, write, append, insert, edit, delete, nbmodel]
uses_functions: []
uses_types: []
returns: []
returns_optional: false
error_type: "error_go_core"
imports: [jupyter_nbmodel_client]
tested: false
tests: []
test_file_path: ""
file_path: "python/functions/notebook/jupyter_write.py"
---
## Funciones expuestas
| Funcion | Descripcion |
|---------|-------------|
| `jupyter_append_code(notebook_path, source, server_url, token)` | Anade celda de codigo al final |
| `jupyter_append_markdown(notebook_path, source, server_url, token)` | Anade celda markdown al final |
| `jupyter_insert_cell(notebook_path, cell_index, source, cell_type, server_url, token)` | Inserta celda en posicion especifica |
| `jupyter_edit_cell(notebook_path, cell_index, source, server_url, token)` | Sobrescribe contenido de celda existente |
| `jupyter_delete_cell(notebook_path, cell_index, server_url, token)` | Elimina una celda |
## Ejemplo
```python
from notebook.jupyter_write import (
jupyter_append_code,
jupyter_append_markdown,
jupyter_insert_cell,
jupyter_edit_cell,
jupyter_delete_cell,
)
# Anadir celda de codigo al final
result = jupyter_append_code(
notebook_path="notebooks/01_analisis.ipynb",
source="import pandas as pd\ndf = pd.read_csv('data.csv')",
server_url="http://localhost:8888",
token="mi-token",
)
# {"action": "append_code", "cell_index": 5, "notebook": "notebooks/01_analisis.ipynb"}
# Anadir celda markdown
result = jupyter_append_markdown(
notebook_path="notebooks/01_analisis.ipynb",
source="## Resultados\n\nAnalisis de los datos obtenidos.",
)
# {"action": "append_markdown", "cell_index": 6, "notebook": "notebooks/01_analisis.ipynb"}
# Insertar celda en posicion 2
result = jupyter_insert_cell(
notebook_path="notebooks/01_analisis.ipynb",
cell_index=2,
source="# celda insertada",
cell_type="code",
)
# {"action": "insert", "cell_index": 2, "cell_type": "code", "notebook": "..."}
# Editar celda existente (indice 0)
result = jupyter_edit_cell(
notebook_path="notebooks/01_analisis.ipynb",
cell_index=0,
source="# Titulo actualizado",
)
# {"action": "edit", "cell_index": 0, "notebook": "..."}
# Eliminar celda
result = jupyter_delete_cell(
notebook_path="notebooks/01_analisis.ipynb",
cell_index=3,
)
# {"action": "delete", "cell_index": 3, "notebook": "..."}
```
## CLI
```bash
# Anadir celda de codigo
python -m notebook.jupyter_write append-code notebooks/01.ipynb "print('hola')" --server http://localhost:8888 --token mi-token
# Anadir celda markdown
python -m notebook.jupyter_write append-markdown notebooks/01.ipynb "## Titulo"
# Insertar en posicion 2
python -m notebook.jupyter_write insert notebooks/01.ipynb 2 "x = 42" --type code
# Editar celda 0
python -m notebook.jupyter_write edit notebooks/01.ipynb 0 "# Nuevo titulo"
# Eliminar celda 3
python -m notebook.jupyter_write delete notebooks/01.ipynb 3
```
## Notas
- Todas las funciones son sincronas publicamente. Internamente usan `asyncio.run()` sobre corutinas async que se comunican via WebSocket con `NbModelClient`.
- El `notebook_path` es relativo al servidor Jupyter (no al filesystem local).
- Si el servidor no esta corriendo o el token es incorrecto, lanza excepcion de conexion de `jupyter_nbmodel_client`.
- NO ejecuta celdas — solo modifica la estructura. Para ejecutar, usar el MCP de Jupyter o la API REST de Jupyter.
- `server_url` y `token` tienen defaults convenientes para desarrollo local (`http://localhost:8888`, token vacio).
- El campo `cell_index` en el resultado refleja la posicion final de la celda en el notebook.