Here's how to register the name on PyPI:

Option 1: Minimal Placeholder Package (Recommended)

## Step 1: Create minimal package structure

sparkrouter/
├── src/
│   └── sparkrouter/
│       └── __init__.py
├── pyproject.toml
├── README.md
└── LICENSE

## Step 2: Create the files

src/sparkrouter/init.py
"""SparkRouter - Platform-agnostic job routing framework for Spark ETL pipelines."""

__version__ = "0.0.1"

pyproject.toml
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"

[project]
name = "sparkrouter"
version = "0.0.1"
description = "Platform-agnostic job routing framework for Spark ETL pipelines (coming soon)"
readme = "README.md"
license = "Apache-2.0"
authors = [
{ name = "Your Name", email = "your@email.com" }
]
requires-python = ">=3.9"
classifiers = [
"Development Status :: 1 - Planning",
"License :: OSI Approved :: Apache Software License",
"Programming Language :: Python :: 3",
]

[project.urls]
Homepage = "https://github.com/yourusername/sparkrouter"

[tool.hatch.build.targets.wheel]
packages = ["src/sparkrouter"]

README.md
# SparkRouter

Platform-agnostic job routing framework for Spark ETL pipelines.

**Status: Coming Soon**

Write your ETL logic once, run it on Databricks, AWS Glue, EMR, or Docker containers.

## Installation

  ```bash
  uv add sparkrouter
  # or
  uv pip install sparkrouter
```
  Full documentation and features coming soon.

  **LICENSE** - Copy Apache 2.0 license text from https://www.apache.org/licenses/LICENSE-2.0.txt

## Step 3: Create PyPI account (if you don't have one)

  1. Go to https://pypi.org/account/register/
  2. Create account and verify email
  3. Enable 2FA (required for uploads)
  4. Create an API token at https://pypi.org/manage/account/token/
     - Scope: "Entire account" (for first upload)
     - Save the token securely

## Step 4: Build and upload

  ```bash
  # Build the package
  cd sparkrouter
  uv build

  # This creates:
  # dist/sparkrouter-0.0.1-py3-none-any.whl
  # dist/sparkrouter-0.0.1.tar.gz

  # Upload to PyPI
  uv publish

  # When prompted, enter your API token
  # Or configure UV_PUBLISH_TOKEN environment variable

  Step 5: Verify

  # Check it exists
  uv pip show sparkrouter

  # Or visit
  # https://pypi.org/project/sparkrouter/
```

---
Option 2: Test on TestPyPI First

If you want to practice before the real upload:

```bash
# Upload to TestPyPI instead
uv publish --publish-url https://test.pypi.org/legacy/

# Test install from TestPyPI
uv pip install --index-url https://test.pypi.org/simple/ sparkrouter
```

TestPyPI account: https://test.pypi.org/account/register/

---
Configure credentials (optional, avoids password prompts)

Set environment variables:
```bash
# For PyPI
export UV_PUBLISH_TOKEN=pypi-xxxxxxxxxxxxxxxxxxxxx

# Or use keyring integration
uv publish --token $YOUR_TOKEN
```

---
Important Notes

1. Name is permanent - Once uploaded, you own sparkrouter and no one else can use it
2. Versions are permanent - You can't re-upload the same version, so start with 0.0.1
3. Yanking - You can "yank" (hide) versions but not delete them
4. 72-hour rule - New projects can be deleted within 72 hours if you change your mind
