Metadata-Version: 2.1
Name: mizuna
Version: 0.2.0
Summary: Mizuna is a package that automates uploading visualizations to Overleaf projects (or git repositories).
Home-page: https://github.com/srodriguez1850/Mizuna
Author: Sebastian Rodriguez
Author-email: s.rodriguez1850@outlook.com
License: MIT License
Project-URL: Bug Reports, https://github.com/srodriguez1850/Mizuna/issues
Project-URL: Source, https://github.com/srodriguez1850/Mizuna/issues
Keywords: python,workflow,data-science,latex,overleaf,jupyter,matplotlib,seaborn,ggplot,plotly
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Classifier: License :: OSI Approved :: MIT License
Classifier: Topic :: Utilities
Requires-Python: >=3.6, <4
Description-Content-Type: text/markdown

<h1 align="center">Mizuna</h1>

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<div align="center">

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</div>
<hr>

<div align="center">



</div>

Mizuna is a Python package meant to automate uploading graphs and visualizations (e.g., matplotlib, Seaborn) to
Overleaf. In reality, it's a small wrapper to invoke a git add/commit/push to a repository on files of your
choice.

### Why?

Visualizations need constant iteration. I noticed I was spending ~10 seconds every time I navigated Overleaf's UI and
recompiling LaTeX to upload and verify changes in my figures. Doing it programmatically improved my workflow by not
navigating the UI every change.

The concept is a simplified version of the [gigaleaf](https://github.com/gigantum/gigaleaf) library without needing
to use Gigantum for data analysis. This is a local solution that work directly with Overleaf (or any git repository).

## Installation

Installation is done through PyPI:

```
$ pip install mizuna
```

## How to Use

### Quick Start

This is a brief example on initializing Mizuna, creating and saving a figure, tracking it, and syncing with the remote.

```python
# Import Mizuna object
import seaborn as sns
import matplotlib.pyplot as plt
from mizuna import Mizuna

# Repository URL
remote = 'https://git.overleaf.com/thisisarandomproject'
# Directory to clone the remote into
repo_dir = 'CloneHere'

# Create Mizuna object
m = Mizuna(remote, repo_dir)

# Generate and save a chart (e.g., Seaborn, matplotlib, etc.)
x = [1, 2, 3, 4, 5]
y = [2, 4, 6, 8, 10]
sns.scatterplot(x=x, y=y)
plt.savefig('mychart.png', format='png')

# Track a file
m.track('mychart.png')
# Sync with repository
m.sync()
```

### The `Mizuna` Object

Initialize the Mizuna object with the repository URL, the name of the local directory to clone the remote into,
and (optionally) whether the local directory is within a networked drive (e.g., a Z: drive or Google Drive File Stream).

If the drive is networked, pass `True` into the `networked_drive` parameter for Mizuna to work properly.
See Limitations.

```python
remote = 'https://git.overleaf.com/thisisarandomproject' # Repository URL
repo_dir = 'CloneHere' # Directory to clone the remote into

m = Mizuna(remote, repo_dir) # Mizuna object
```

```python
remote = 'https://git.overleaf.com/thisisarandomproject' # Repository URL
repo_dir = 'CloneHere' # Directory to clone the remote into

m = Mizuna(remote, repo_dir, networked_drive=True) # Mizuna object (networked drive)
```

### Tracking

Mizuna can track a single file:

```python
m.track('mychart.png') # Track one file
```

A single file renamed on the remote:

```python
m.track('mychart.png', 'figure1.png') # Track one file and rename on remote
```

```python
m.track('mychart.png', 'figures/figure1.png') # You can also place files inside directories on the remote
```

A list of files:

```python
m.track(['mychart1.png', 'mychart2.png', 'mychart3.png']) # Track multiple files
```

Or a dictionary containing multiple files with their respective renames on the remote:

```python
sync_files = { 'mychart1.png': 'figure1.png',
               'mychart2.png': 'figure2.png' }
m.track(sync_files) # Track multiple files with their renames on remote
```

### Untracking

If you need to untrack a file or all files:

```python
m.untrack('mychart.png') # Untrack a single file
m.untrack_all() # Untrack all files
```

### Checking Tracked Files

If you need to see all the files currently tracked by Mizuna:

```python
m.file_track_list() # List all files tracked
```

### Syncing

And finally, push to Overleaf (or your git repository) when ready:

```python
m.sync() # Pulls changes, replaces changes with the tracked figures, and pushes
```

## Limitations

- Files from networked drives (e.g., Z drive, Google Drive File Stream) may throw an incorrect SameFileError exception.
    - See https://bugs.python.org/issue33935
    - To circumvent this issue, pass `True` into the `networked_drive` parameter in the Mizuna constructor
      - This prevents samefile checks from shutil.copy()
- Overleaf git URLs only work with [Premium](https://www.overleaf.com/user/subscription/plans) accounts.
  - [Referring](https://www.overleaf.com/user/bonus) a single user to Overleaf unlocks git URLs.

## License

Usage is provided under the MIT License. See LICENSE for full details.

