Topics covered in this episode:
Better Python tests with inline-snapshot
jolt Battery intelligence for your laptop
Markdown code formatting with ruff
act - run your GitHub actions locally
Extras
Joke
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Brian #1: Better Python tests with inline-snapshot
Alex Hall, on Pydantic blog
Great for testing complex data structures
Allows you to write a test like this:
from inline_snapshot import snapshot
def test_user_creation():
user = create_user(id=123, name="test_user")
assert user.dict() == snapshot({})
Then run pytest --inline-snapshot=fix
And the library updates the test source code to look like this:
def test_user_creation():
user = create_user(id=123, name="test_user")
assert user.dict() == snapshot({
"id": 123,
"name": "test_user",
"status": "active"
})
Now, when you run the code without “fix” the collected data is used for comparison
Awesome to be able to visually inspect the test data right there in the test code.
Projects mentioned
inline-snapshot
pytest-examples
syrupy
dirty-equals
executing
Michael #2: jolt Battery intelligence for your laptop
Support for both macOS and Linux
Battery Status — Charge percentage, time remaining, health, and cycle count
Power Monitoring — System power draw with CPU/GPU breakdown
Process Tracking — Processes sorted by energy impact with color-coded severity
Historical Graphs — Track battery and power trends over time
Themes — 10+ built-in themes with dark/light auto-detection
Background Daemon — Collect historical data even when the TUI isn't running
Process Management — Kill energy-hungry processes directly
Brian #3: Markdown code formatting with ruff
Suggested by Matthias Schoettle
ruff can now format code within markdown files
Will format valid Python code in code blocks marked with python, py, python3 or py3.
Also recognizes pyi as Python type stub files.
Includes the ability to turn off formatting with comment [HTML_REMOVED] , [HTML_REMOVED] blocks.
Requires preview mode
[tool.ruff.lint]
preview = true
Michael #4: act - run your GitHub actions locally
Run your GitHub Actions locally! Why would you want to do this? Two reasons:
Fast Feedback - Rather than having to commit/push every time you want to test out the changes you are making to your .github/workflows/ files (or for any changes to embedded GitHub actions), you can use act to run the actions locally. The environment variables and filesystem are all configured to match what GitHub provides.
Local Task Runner - I love make. However, I also hate repeating myself. With act, you can use the GitHub Actions defined in your .github/workflows/ to replace your Makefile!
When you run act it reads in your GitHub Actions from .github/workflows/ and determines the set of actions that need to be run.
Uses the Docker API to either pull or build the necessary images, as defined in your workflow files and finally determines the execution path based on the dependencies that were defined.
Once it has the execution path, it then uses the Docker API to run containers for each action based on the images prepared earlier.
The environment variables and filesystem are all configured to match what GitHub provides.
Extras
Michael:
Winter is coming: Frozendict accepted
Django ORM stand-alone
Command Book app announcement post
Joke: Plug ‘n Paste
UK