dbx-tools-core

Dependency-free Python configuration and identity helpers shared by dbx-tools packages.

Install from PyPI:

pip install dbx-tools-core

To install the current main branch directly from the repository instead:

pip install "dbx-tools-core @ git+https://github.com/reggie-db/dbx-tools.git@main#subdirectory=packages/py/core"

Key features

  • config.text() resolves scoped keys from the process environment, then the nearest project .env file, then validated Databricks bundle JSON.
  • .env.<NODE_ENV> wins over .env, with production/prod and development/dev treated as aliases.
  • Bundle validation stays lazy: the Databricks CLI runs only after environment and dotenv lookup miss, and current-working-directory results are cached.
  • Deployed Databricks Apps skip local files and bundle validation because the platform has already populated real environment variables.
  • String, boolean, positive-number, positive-integer, and list helpers use the same loose configuration coercions as @dbx-tools/core.
  • Stable-key, FNV hash, and identifier functions preserve deterministic Node and Python identity contracts.

Quick start

from dbx_tools.core import config

host = config.text("HOST", {"prefix": "SMTP"})
port = config.positive_int(None, "PORT", 587, {"prefix": "SMTP"})

The default key order for HOST with prefix SMTP is DBX_TOOLS_SMTP_HOST, SMTP_HOST, then HOST. Pass config.ENV_ONLY when a caller must read the exact process environment without local file fallbacks.

Modules

  • config — layered environment, dotenv, and Databricks bundle configuration;
  • hash.fnv_hash() — the single-string subset of TypeScript fnvHashWithOptions, including UTF-16 code-unit hashing and base-32 output;
  • object.to_stable_key() — strict structured identity canonicalization;
  • string.to_identifier() — readable identifier tokenization, with the same hyphen default as TypeScript and an explicit delimiter override for consumers such as the underscore-delimited Postgres bus channel.

The identity functions exist so Python packages do not copy the TypeScript algorithms locally and silently drift. Their shared behavior is tested from packages/test/polyglot/fixtures/core/fixture.json. The config loader has Python filesystem/subprocess parity tests alongside the package.

Project links

Data verified by PyPI on Aug 4, 2026
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Key dates

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  • Released:
Newer release available (0.6.201)

1 maintainer

PyPI data
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Avatar for reggie-db from gravatar.com reggie-db

GitHub Statistics

Data verified by PyPI on Aug 4, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

Requires

Python >=3.10

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