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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>
4.1 KiB
4.1 KiB
name, kind, lang, domain, version, purity, signature, description, tags, uses_functions, uses_types, returns, returns_optional, error_type, imports, tested, tests, test_file_path, file_path
| name | kind | lang | domain | version | purity | signature | description | tags | uses_functions | uses_types | returns | returns_optional | error_type | imports | tested | tests | test_file_path | file_path | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| jupyter_write | function | py | notebook | 1.0.0 | impure | def jupyter_append_code(notebook_path: str, source: str, server_url: str = 'http://localhost:8888', token: str = '') -> dict | 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. |
|
false | error_go_core |
|
false | 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
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
# 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 conNbModelClient. - El
notebook_pathes 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_urlytokentienen defaults convenientes para desarrollo local (http://localhost:8888, token vacio).- El campo
cell_indexen el resultado refleja la posicion final de la celda en el notebook.