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dbx-tools-node-runtime

Run PythonMonkey-based packages in managed Python environments that do not provide system Node.js or npm.

Quick Start

%pip install dbx-tools-node-runtime

On first use, the package installs the locked PythonMonkey runtime into the active Python environment. It reuses npm when available; otherwise it installs nodejs-wheel>=22.20,<23 and uses the packaged Node and npm executables.

An existing npm executable or installed nodejs-wheel package is reused without enforcing an exact Node wheel version. The range applies only when the runtime must install nodejs-wheel itself.

Both installations use a check-lock-check sequence scoped to the active Python environment. Concurrent processes wait for the same install, then recheck the environment instead of installing a second copy. The lock files contain no runtime packages. Set DBX_TOOLS_NODE_RUNTIME_LOCK_DIRECTORY only when the default per-user lock directory is unsuitable.

Runtime Installation

Install the package normally:

%pip install dbx-tools-node-runtime

If the active environment was created without pip, the first runtime installation uses CPython's bundled ensurepip before installing PythonMonkey.

Prewarm the runtime explicitly when desired:

dbx-tools-node-runtime

The same project script can execute a CommonJS file through the lazy runtime:

dbx-tools-node-runtime ./hello.js

Otherwise the first generated binding load performs the same initialization through ensure_pythonmonkey(). Generated dbx-tools bindings use PythonMonkey's standard pythonmonkey.require loader after installation.

The package also installs the Databricks SDK for Python. In notebooks and Jobs, its shared runtime exposes the SDK's default WorkspaceClient authentication to generated Node auth bindings. Empty auth options use that runtime credential source automatically. Explicit profiles, hosts, and credentials continue through the normal Node auth providers.

The shared PythonMonkey host lives under shims/. A shim path encodes its specifier: ___ becomes :, __ becomes /, and every other character stays as written (node___fs__promises.ts becomes node:fs/promises). Files whose derived name has no scheme, including bootstrap.ts, are support modules rather than runtime registry entries. Duplicate derived specifiers or registry aliases fail the build.

Build and watch

build-runtime.ts bundles the bootstrap and shims into src/dbx_tools/node_runtime/runtime.js. It adds a generated-file header, avoids rewriting unchanged output, and leaves the committed artifact read-only. Build or verify it directly with:

bun packages/py/node-runtime/build-runtime.ts
bun packages/py/node-runtime/build-runtime.ts --check

In a @dbx-tools/projen Python workspace, mark this package with nodeRuntime: true. Projen then exposes repository-wide tasks rather than package-specific tasks:

bun run python-node-runtime
bun run python-node-runtime:check
bun run python-node-runtime:watch

bun run sync --watch supervises python-node-runtime:watch with the shared Python binding, barrel, and Projen configuration watchers.

Metadata

Release files for dbx-tools-node-runtime 0.9.123

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Source distribution for dbx-tools-node-runtime 0.9.123
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dbx_tools_node_runtime-0.9.123-py3-none-any.whl Python 3 none any Details

Total release size: 316.5 kB

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Uploaded via twine/7.0.0 CPython/3.13.14

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PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 13, 2026.

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