60 lines
2.1 KiB
Markdown
60 lines
2.1 KiB
Markdown
# habitmove
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Takes habit in one habit-tracking application and transforms them ready to use for another.
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Currently can take an export of nomie habits in json format and convert it to be importable in Loop Habit Tracker.
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Plans for reverse migration are on the roadmap, and ultimately this tool ideally understands more and more habit formats to prevent app lock-in.
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Confirmed working for nomie version 5.6.4 and Loop Habit Tracker version 2.0.2 and 2.0.3.
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Presumably works for other nomie 5.x versions and other Loop 2.x versions as well,
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but that is untested.
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## Installation
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Installation can be accomplished through *pip*:
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```bash
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pip install habitmove
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```
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Requirements:
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`habitmove` requires at least Python 3.7.
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It has only been tested on GNU/Linux (amd64) though it should work on other platforms.
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## Usage
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Run as a cli utility `habitmove` currently takes a single argument: the nomie database `.json` file to import habits from.
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Invoked like: `habitmove nomie-export.json`.
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The output as a Loop Habit Tracker database will be written to `output.db` in the present working directory.
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Can also take an existing Loop Habit database (exported from the application),
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and add the nomie exported habits and checkmarks to it.
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Simply put the exported Loop database in the same directory and call it `output.db`,
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it will not (should not™️) overwrite anything.
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If there are any duplicated habits however,
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it will add duplications of the existing repetitions into the database.
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## Development
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To enable easy development on the app,
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install [poetry](https://python-poetry.org/) and let it do all dependency management for you by doing:
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```bash
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poetry install
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poetry run habitmove <nomie-json>
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```
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To see a set up more closely resembling the final cli environment,
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with its libraries loaded as environmental dependencies enter the poetry shell:
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```bash
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poetry shell
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```
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The package can eventually also be used as a library to load nomie data to work with in Python,
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or to move data into Loop Habit Tracker.
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Take a look at the `Parser` and `Transformer` interfaces respectively.
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