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simstudioai--sim/apps/sim/tools/jupyter/get_content.ts
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chore: import upstream snapshot with attribution
2026-07-13 13:20:55 +08:00

120 lines
3.5 KiB
TypeScript

import type { JupyterGetContentParams, JupyterGetContentResponse } from '@/tools/jupyter/types'
import { encodeJupyterPath, parseJupyterContentModel } from '@/tools/jupyter/utils'
import type { ToolConfig } from '@/tools/types'
export const jupyterGetContentTool: ToolConfig<JupyterGetContentParams, JupyterGetContentResponse> =
{
id: 'jupyter_get_content',
name: 'Jupyter Get Content',
description: 'Read a file or notebook from a Jupyter server',
version: '1.0.0',
params: {
serverUrl: {
type: 'string',
required: true,
visibility: 'user-only',
description: 'Base URL of the Jupyter server (e.g. http://localhost:8888)',
},
token: {
type: 'string',
required: true,
visibility: 'user-only',
description: 'Jupyter server authentication token',
},
path: {
type: 'string',
required: true,
visibility: 'user-or-llm',
description: 'Path of the file or notebook to read, relative to the server root',
},
},
request: {
url: '/api/tools/jupyter/proxy',
method: 'POST',
headers: () => ({ 'Content-Type': 'application/json' }),
body: (params) => ({
serverUrl: params.serverUrl,
token: params.token,
method: 'GET',
path: `contents/${encodeJupyterPath(params.path)}?content=1`,
}),
},
transformResponse: async (response, params) => {
if (!response.ok) {
const errorText = await response.text()
return {
success: false,
error: `Jupyter API error: ${response.status} ${errorText}`,
output: {
name: '',
path: params?.path ?? '',
mimetype: null,
text: null,
file: null,
},
}
}
const data = parseJupyterContentModel(await response.json()) ?? {}
const format = data.format
const name = data.name ?? params?.path?.split('/').pop() ?? 'file'
const mimetype = data.mimetype ?? null
if (format === 'base64' && typeof data.content === 'string') {
const buffer = Buffer.from(data.content, 'base64')
return {
success: true,
output: {
name,
path: data.path ?? params?.path ?? '',
mimetype,
text: null,
file: {
name,
mimeType: mimetype ?? 'application/octet-stream',
data: data.content,
size: buffer.length,
},
},
}
}
const text =
format === 'json' || typeof data.content === 'object'
? JSON.stringify(data.content)
: typeof data.content === 'string'
? data.content
: null
return {
success: true,
output: {
name,
path: data.path ?? params?.path ?? '',
mimetype,
text,
file: null,
},
}
},
outputs: {
name: { type: 'string', description: 'File or notebook name' },
path: { type: 'string', description: 'Path relative to the server root' },
mimetype: { type: 'string', description: 'MIME type of the content', optional: true },
text: {
type: 'string',
description: 'Text content, for text files and notebooks (JSON-stringified)',
optional: true,
},
file: {
type: 'file',
description: 'Binary content stored as a file, for base64-format content',
optional: true,
},
},
}