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https://github.com/k-donn/journal-times
A way to visual Day One entries
https://github.com/k-donn/journal-times
conda day-one-app journal
Last synced: 2 months ago
JSON representation
A way to visual Day One entries
- Host: GitHub
- URL: https://github.com/k-donn/journal-times
- Owner: k-donn
- License: mit
- Created: 2019-11-30T23:19:49.000Z (about 5 years ago)
- Default Branch: main
- Last Pushed: 2023-05-30T14:55:53.000Z (over 1 year ago)
- Last Synced: 2024-08-08T00:44:06.212Z (6 months ago)
- Topics: conda, day-one-app, journal
- Language: Python
- Homepage:
- Size: 447 KB
- Stars: 4
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- project-awesome - k-donn/journal-times - A way to visual Day One entries (Python)
README
# Journal Entry Times
A visual representation of entries in a Day One journal.
## Usage
```bash
usage: python run.py [-run.py [-h] -f FILE [-d]
Display a graph of journal entries from Day One JSON
optional arguments:
-h, --help show this help message and exit
-f FILE, --file FILE Path to exported Day One JSON file
-d, --debug Show the plots instead of writing to file
```
## Running
To run from the root dir,
- Create conda env from `environment.yml` (see [Install Conda](https://conda.io/projects/conda/en/latest/user-guide/install/index.html))
- Copy journal [JSON Export](#exporting-journal-json) into `./data` or [create dummy data](#generate-dummy-data)
- From the root of the folder,
```bash
python run.py --file ./data/.json
```
## Generate Dummy Data
- From the root of the foler,
```bash
python ./data/gen_dummy.py
```
- Now, just pass in the new ./data/Dummy.json file into `run.py`
## Exporting Journal JSON
See [Exporting Entries](https://help.dayoneapp.com/en/articles/440668-exporting-entries) for instructions.
Export as JSON and place file in ./data directory.
## Meta
I got the inspiration from seeing [jiuguangw](https://github.com/jiuguangw/)'s [Agenoria](https://github.com/jiuguangw/Agenoria)