jsonstate
Manage global App state in a JSON (Python dictionary).
Installation
pip install jsonstate
Usage
from jsonstate import State
state = State({
"title": "State Example",
"profile": {
"name": "Foo",
},
"products": [
{"name": "Foo", "description": "Foo spam"},
{"name": "Bar", "description": "Bar spam"},
]
})
print_event = lambda **kwargs: print("Event", kwargs)
state.callbacks(key="title").append(print_event)
state['profile'].callbacks(key="name").append(print_event)
state['products'].callbacks().append(print_event)
# This statement updates the state and also invokes on_change callback:
state["title"] = "Eggs"
# Event {'new_value': 'Eggs', 'old_value': 'State Example', 'action': 'update'}
state["profile"]["name"] = "Spam"
# Event {'new_value': 'Spam', 'old_value': 'Foo', 'action': 'update'}
# This statement also updates the state and invokes on_change callback:
state["products"].append({"name": "Eggs", "description": "Eggs spam"})
# Event {'new_value': {'name': 'Eggs', 'description': 'Eggs spam'}, 'action': 'add'}
Development
Commonly used commands for package development:
make check- run unit tests and linters.make fix- format code and fix detected fixable issues.make publish- publishes current package version to pypi.org.make compile- bump and freeze dependency versions in requirements*.txt filesmake sync- upgrade installed dependencies in Virtual Environment (executed aftermake compile)
Toolset
This package uses these cutting edge tools:
- ruff - for linting and code formatting
- mypy - for type checking
- pip-audit - for known vulnerability detection in dependencies
- deadcode - for unused code detection
- pytest - for collecting and running unit tests
- coverage - for code coverage by unit tests
- hatch - for publishing package to pypi.org
- uv - for Python virtual environment and dependency management
- pyproject.toml - configuration file for all tools
- Makefile - aliases for commonly used command line commands
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Source Distribution
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