mswappinit 2025.4.17

a personal, opinionated python app initializer

mswappinit

This package is expected to only be used by @mwartell for personal development projects. I've published it only after copying it into my third new project and figured an import would be easier. Others are certainly welcome to use it, but I'd be surprised.

This library provides three application bootstrap utilities

1. project - a configuration dotenv loader that makes nice parameter accessors
2. log - a logger that is pleasing to the author
3. quick_db - a pickledb instance for quick and dirty persistence

project

dotenv is used to load environment variables from a file named .env these could be something like: AWS_PROFILE=cluster and these will all be loaded into the environment as expected.

this module provides convenience attribute access to project specific log variables that are loaded from the dotenv file. A PROJECT_NAME must be defined and then all other variables of the form {PROJECT_NAME}_{VAR} can be accessed as attributes of the project object.

For example, if the PROJECT_NAME is "rag" and the dotenv file contains RAG_DATA=/path/to/data then the value of project.data will be the Path object /path/to/data.

For convenience, the values are upcast to the most likely type. For example, if the value is "true" or "false" it will be converted to a boolean. If the value is a number it will be converted to an int or float. If the value is a

log

Using from mswappinit import log creates a development simple logger with log.debug, log.info and so on. Logs only go to stderr.

quick_db

If quick_db is imported, a [pickleDB][https://patx.github.io/pickledb/] instance will be created in project.data. This is a json backed key-value store. Writes should use the context manager:

from mswappinit.quick_db import quick_db
with quick_db:
    db.set("Cyclopedidae", ["Palaeomyrmidon", "Cyclopes didactylus"])

which ensures a quick_db.save() when the context exits.