Skip to main content

Unit tests for plain text

Project description

unit-text

Unit tests for plain text

CI

unit-text logo


Don't let LLMs write blog posts for you. Do your research, bring your own voice, and use LLMs to criticise and iterate on your writing.

🤌 Why unit-text?

If you're a developer like us:

  • You're probably aware you should write more (either because your leadership asks for it, or because you'd like to be invited as a conference speaker, or ...)
  • You don't know what to write about.
  • You have considered letting ChatGPT write blog posts for you.

If you tried the last option (or read anything on the Internet in the past 2 years) you would also know why it's not really that good of an idea.

Sure, you may get a perfectly good post, but it won't be your own.

unit-text applies the concept of unit tests to prose. You are the one writing, the LLM is just your critic.

First, you define a goal, the audience you have in mind, and what you wanted them to do differently after they read your post. Then, you start writing and iterating on your draft. unit-text gives you feedback: you run tests to validate whether your draft is going in the right direction.

An AI copy editor, you could say.

⚙️ Installation

We recommend uv to run the CLI.

# to run the CLI straight away
uvx unit-text --help

# or if you prefer to install it
uv tool install unit-text

You may of course also use pip to install the CLI - or pipx if you prefer to install it in an isolated environment.

pipx install unit-text

# ...or if you like to live on the edge
pip install unit-text

🔨 Usage

Requirements

Either:

  • Ollama must be running locally;
  • OLLAMA_HOST should point to an Ollama server.
# To generate a blog idea
unit-text ideate

# To validate the working draft
unit-text test <path-to-the-draft.md>

API

The package also provides a FastAPI server for programmatic access:

# Start the development server
uv run fastapi dev ./src/unit_text/api

# Start the production server
uv run fastapi run ./src/unit_text/api

# or for convenience
uv run unit-text-api

The server exposes a /test endpoint that accepts POST requests with two files:

  • file: Your draft text file
  • config: Your idea configuration JSON file

Example using curl:

curl -X POST http://localhost:8000/test \
  -F "file=@draft.md" \
  -F "config=@unit-text.json"

📝 Process

The ideation phase is where you define your blog idea. It looks something like this:

Showing an example blog idea

Your idea is now stored in a unit-text.json file, in the current directory.

You may run unit-text ideate again at any time to finetune it.

Now you can start writing, let's say you're writing in a file called draft.md.

At any time, you can run unit-text test draft.md to validate it. Initially, it may look something like this:

Showing a failing test execution

Keep iterating on your draft, based on feedback from unit-text, until it passes all tests:

Showing a passing test execution

💻 Contributing

If you want to contribute to the project, please read the CONTRIBUTING.md file.

It contains information on how to set up your development environment, submit issues, and create pull requests.

📜 License

This project is licensed under the AGPLv3 License. See the LICENSE file for details.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

unit_text-0.3.0.tar.gz (1.7 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

unit_text-0.3.0-py3-none-any.whl (21.0 kB view details)

Uploaded Python 3

File details

Details for the file unit_text-0.3.0.tar.gz.

File metadata

  • Download URL: unit_text-0.3.0.tar.gz
  • Upload date:
  • Size: 1.7 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for unit_text-0.3.0.tar.gz
Algorithm Hash digest
SHA256 84677b2fa67998ec31fb03e62c51062e2d412b8bfba3039ef602273c4feba850
MD5 023cb41fd58dadc066858e09cd26e3da
BLAKE2b-256 09e1efd110fe14598eee69234a3e52d50c81b8073900654c4cda08ad68deaf6c

See more details on using hashes here.

Provenance

The following attestation bundles were made for unit_text-0.3.0.tar.gz:

Publisher: publish.yaml on sealambda/unit-text

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file unit_text-0.3.0-py3-none-any.whl.

File metadata

  • Download URL: unit_text-0.3.0-py3-none-any.whl
  • Upload date:
  • Size: 21.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for unit_text-0.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 6d081a00a2b2949f7f3d44b78b8eb0ffbb96cf42dc532f2b8ad362dd0d4ee17c
MD5 2835ae714a4f8df8b060929997d675cf
BLAKE2b-256 3d343e7cf10e31e5d6b01d38ed69a79df9b057e94fff9c92837a9d8ca3c633a9

See more details on using hashes here.

Provenance

The following attestation bundles were made for unit_text-0.3.0-py3-none-any.whl:

Publisher: publish.yaml on sealambda/unit-text

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page