| Name | dag-json JSON |
| Version |
0.1
JSON |
| download |
| home_page | |
| Summary | Python implemention of the IPLD DAG-JSON codec |
| upload_time | 2023-04-23 23:38:41 |
| maintainer | |
| docs_url | None |
| author | |
| requires_python | >=3.7 |
| license | |
| keywords |
dag-json
ipld
codec
cid
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
dag-json [](https://circleci.com/gh/snarfed/dag-json) [](https://coveralls.io/github/snarfed/dag-json?branch=master)
===
Python implemention of the [IPLD](https://ipld.io/) [DAG-JSON codec](https://ipld.io/docs/codecs/known/dag-json/). Uses the `CID` class from [`multiformats`](https://multiformats.readthedocs.io/). Passes all of IPLD's [DAG-JSON cross-codec test fixtures](https://ipld.io/specs/codecs/dag-json/fixtures/cross-codec/).
Install from [PyPI](https://pypi.org/project/dag-json/) with `pip install dag-json`.
License: This project is placed in the public domain.
* [Usage](#usage)
* [Changelog](#changelog)
* [Release instructions](#release-instructions)
## Usage
The `dag_json` module has two functions, `encode` and `decode`.
* `encode` takes any IPLD-compatible native Python object - `int`, `float`, `str`, `bool`, `list`, `bytes`, or `multiformats.CID` - and returns it as DAG-JSON encoded `bytes`.
* `decode` takes DAG-JSON encoded `bytes` and returns the corresponding native Python object.
Here's example usage:
```py
>>> from dag_json import decode, encode
>>> from multiformats import CID
>>>
>>> encoded = encode({
'foo': 'bar',
'data': b'hello world',
'link': CID.decode('QmUGhP2X8xo9dsj45vqx1H6i5WqPqLqmLQsHTTxd3ke8mp'),
})
>>> encoded
b'{"data":{"/":{"bytes":"aGVsbG8gd29ybGQ"}},"foo":"bar","link":{"/":"QmUGhP2X8xo9dsj45vqx1H6i5WqPqLqmLQsHTTxd3ke8mp"}}'
>>>
>>> repr(decode(encoded))
{
'data': b'hello world',
'foo': 'bar',
'link': CID('base58btc', 0, 'dag-pb', '12205822d187bd40b04cc8ae7437888ebf844efac1729e098c8816d585d0fcc42b5b'),
}
```
## Changelog
### 0.1 - 2023-04-23
Initial release!
## Release instructions
Here's how to package, test, and ship a new release.
1. Run the unit tests.
```sh
source local/bin/activate.csh
python3 -m unittest discover
```
1. Bump the version number in `pyproject.toml`. `git grep` the old version number to make sure it only appears in the changelog. Change the current changelog entry in `README.md` for this new version from _unreleased_ to the current date.
1. `git commit -am 'release vX.Y'`
1. Upload to [test.pypi.org](https://test.pypi.org/) for testing.
```sh
python3 -m build
setenv ver X.Y
twine upload -r pypitest dist/dag-json-$ver*
```
1. Install from test.pypi.org.
```sh
cd /tmp
python3 -m venv local
source local/bin/activate.csh
pip3 uninstall dag-json # make sure we force pip to use the uploaded version
pip3 install --upgrade pip
pip3 install -i https://test.pypi.org/simple --extra-index-url https://pypi.org/simple dag-json==$ver
deactivate
```
1. [Run the example code above](#usage) to test that the code loads and runs.
1. Tag the release in git. In the tag message editor, delete the generated comments at bottom, leave the first line blank (to omit the release "title" in github), put `### Notable changes` on the second line, then copy and paste this version's changelog contents below it.
```sh
git tag -a v$ver --cleanup=verbatim
git push && git push --tags
```
1. [Click here to draft a new release on GitHub.](https://github.com/snarfed/dag-json/releases/new) Enter `vX.Y` in the _Tag version_ box. Leave _Release title_ empty. Copy `### Notable changes` and the changelog contents into the description text box.
1. Upload to [pypi.org](https://pypi.org/)!
```sh
twine upload dist/dag-json-$ver.tar.gz dist/dag-json-$ver-py3-none-any.whl
```
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