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CLI tools for data engineering workflows

Project description

adaptivegears

CLI tools for data engineering workflows. Part of the Adaptive Gears ecosystem.

Why

We document patterns in our knowledge base. But patterns without tools are just theory.

This library closes the loop: tools we actually use at work become the examples in our articles. When we write about UUID v7 for time-sortable identifiers, we're using adaptivegears uuid -7. When we document PostgreSQL introspection, we're running adaptivegears pg list.

The constraint: keep the core light. Heavy dependencies (psycopg, boto3) live in extras. You pay for what you use.

Install

uvx adaptivegears --help

No install needed. uvx runs it directly from PyPI.

Commands

uuid

Generate UUIDs. v4 by default, v7 for time-sortable.

uvx adaptivegears uuid           # v4
uvx adaptivegears uuid -7        # v7 (time-sortable)
uvx adaptivegears uuid -7 -n 5   # multiple

pg

PostgreSQL utilities. Requires [pg] extra and DATABASE_URL.

export DATABASE_URL="postgresql://user:pass@localhost/dbname"

uvx 'adaptivegears[pg]' pg list                # tables in public schema
uvx 'adaptivegears[pg]' pg list -s myschema    # different schema
uvx 'adaptivegears[pg]' pg list --json         # machine-readable

Extras

Heavy dependencies are optional:

Extra Dependencies Commands
pg psycopg pg list
s3 boto3 (coming)
all everything all commands
uvx 'adaptivegears[pg]' ...
uvx 'adaptivegears[all]' ...

Claude Code

These tools work well with Claude Code.

For repetitive tasks, Claude Code tends to write solutions from scratch. It usually works. But edge cases accumulate in places you wouldn't expect - bit layouts, parsing quirks, format inconsistencies.

This library provides polished alternatives. Instead of generating throwaway scripts, Claude Code can reach for tested implementations. The --json flag ensures consistent output for further processing.

The tools grow from patterns we've already debugged. Less re-invention, fewer surprises, fewer tokens.

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