hkjournalist 0.0.8
Custom Auto Report Generator for Python Program

# HK-journalist: Custom Automatic Report Generator for Python program!

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It is a light and useful Python module, helping you generate a small size, pretty report as PDF slides (or any other format documents which humans can directly read and hand out) each time after your programs finish. All you need to do is to customize a report template using `MarkDown` with variables names used in your Python program and maintain a `dict` to store those variables. Then, A few lines of code added before the end of programs can automatically fetch and display them in the final report file. Also, the codes intended to deal with frequent structures/arguments changes or data source changes can benefit from the package if the report can play a role of 'snapshot' (with timestamp) of each code version.

- Documentation: https://hk-journalist.readthedocs.io/en/latest/index.html
- Slides for sharing: [slides](./slides/slides.pdf)

## Table of Contents
- [Quick Start](#quick-start)
  * [Install](#install)
  * [Customize your report template](#customize-your-report-template)
  * [Run a `Journalist()` in your code to fetch variables](#run-a--journalist----in-your-code-to-fetch-variables)
  * [Invite a journalist to make a big news report](#invite-a-journalist-to-make-a-big-news-report)
- [I am too lazy to write a `md` template](#i-am-too-lazy-to-write-an--md--template)
- [Support For zh_CN *(New feature :tada:)*](#support-for-zh_cn)
- [What will my variables on slides look like?](#what-will-my-variables-on-slides-look-like-)
- [More examples and instructions](#more-examples-and-instructions)
- [Tips](#tips)
- [Prerequirements](#prerequirements)

## Quick Start

Before installing `hkjournalist`, please make sure `pandoc` and `pdflatex` are already properly installed in the environment. ([install instruction](#prerequirements))

### Install

```
pip install hkjournalist
```

### Customize your report template

Write such an `md` file, use a pair of `{}` to wrap every variable which will be assigned a specified value in your code. save it to `template.md`

````md
% Hello World
% Xinyi Li
% 2019-12-19

---

### sine plot

![]({sin_plot})

### sine table

{sin_table}

### sine function

```{{.python}}
{sin_func}
```

````

### Run a `Journalist()` in your code to fetch variables

First, you should define a `dict` to record mapping with variable names and their value

```py
from hkjournalist import Journalist

config = {}
```


Then, start your programming, and do not forget to assign value to corresponding variable names in `config`:
```py
def sin_2x_and_cos_2x(x):
    y = np.sin(x) * np.sin(x) + np.cos(x) *  np.cos(x)
    return y

x = np.arange(0, 4 * np.pi, 0.1)
y1 = np.sin(x)
y2 = np.cos(x)

df = pd.DataFrame({'x': x, 'sin(x)': y1, 'cos(x)': y2})
df['sin^2^(x)+cos^2^(x)'] = sin_2x_and_cos_2x(df['x']).values
df = df.set_index('x')

# plot sine curve as sin_plot
ax = df.plot()
plt.tight_layout()
config['sin_plot'] = ax

# random select 5 point (x,y) as sin_table
config['sin_table'] = df.sample(5)

# sin_2x_and_cos_2x as sin_func
config['sin_func'] = sin_2x_and_cos_2x
```

### Invite a journalist to make a big news report

Last but not least, attach 3 lines **critical** code below to have your `Journalist` make a report and save it to `big_news.pdf` (you can get all code above in [demo](./demo) and the output file [big_news.pdf](./demo/big_news.pdf))

```py
# HK journalist runs faster than everyone! hear variable and make a report
reporter = Journalist(template_file='template.md')
reporter.hear(config)
reporter.report(output_file='big_news.pdf', beamer=True, overwrite=True)
```

Report slides display as below:
![](./demo/big_news.png)

## I am too lazy to write an `md` template

If you have too many variables to report, which make write a template a big project, or simply don't want to write an `md` template, **No problem!** `hkjournalist` can generate a report template with each variable on one slide page automatically. With slight modification or directly using it as a template, you can get your real report.

**Example**

```py
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
from hkjournalist import Journalist

config = {}

for i in range(1, 4):
    uniform_data = np.random.rand(10, 12)
    plt.figure(figsize=(10, 8))
    ax = sns.heatmap(uniform_data, cmap='Blues', annot=True, linewidth=.5)
    plt.tight_layout()
    config[f'Plot_{i}'] = ax

reporter = Journalist(fig_height='80%')
reporter.hear(config)
reporter.generate_template('auto_generate_template.md')
reporter.report(output_file='auto_report.pdf', beamer=True, overwrite=True)
```
Output ([raw file](./demo/auto_report.pdf) ):

![](./demo/auto_report.png)

## Support For zh_CN

Yes, now, from version 0.0.5, it can use template contains chinese characters :tada:.

Just pass argument `zh=True` when creating a Journalist(), or set its `zh` property at any time before generating reports. 

```py
reporter = Journalist(template_file='./reports/template.md', zh=True)
```

If you want to use your customized template with chinese characters, don't forget to add one line at first of the YAML metadata block in your `Markdown` template:

```markdown
---
documentclass: ctexbeamer
...
---
```

Here is a [simple example](./examples/3_zh_CN_support.py) similar to [Quick start](#quick-start), Except for [its template](./examples/reports/3_zh_cn_template.md) containing chinese characters. A perfect chinese [slides](./examples/reports/3_zh_report.pdf) file can be generated by the program as:

![](./demo/zh_demo.png)

**Note**: make sure `xelatex` is installed properly.

More details can be found in [API Documentation](https://hk-journalist.readthedocs.io/en/latest/source/hkjournalist.html) and [this tutorial](https://hk-journalist.readthedocs.io/en/latest/source/tutorial_3.html).

## What will my variables on slides look like?

All variables pass to `Journalist` via `hear` will display as strings just like what their `__str__` method does.

Except for 4 types with special support:

- `pandas.DataFrame`: -> a 3-line table (`TeX` default style)
- `matplotlib.axes.SubplotBase` (known as base figure object `ax` in `matplotlib`):  -> a figure print on report (with high quality and small size as `pdf`)
- `function`: -> its full definition
- `list(str)`: -> `len(list)` followed by a sentance with all words concatenated.

Besides, `list(str)` and `pandas.DataFrame` may be too long to display, which are allowed to span multiple pages in final slides.

## More examples and instructions

- [Documentation(https://hk-journalist.readthedocs.io/)
- More complex usages available in [examples](./examples)
- How to write a sophisticated slides template using `md`ï¼Ÿ See [pandoc tutorials](https://pandoc.org/MANUAL.html#producing-slide-shows-with-pandoc)

## Tips

- Before pass `plt.Axes` object (figure object used in `matplotlib`) to `dict`, use `plt.tight_layout()`statement to adjust its size.
- Use double curly braces `{{}}` to escape `{}` in the template.
- Turn off parameter `overwrite` in `Journalist.report()`, you will get a file name with a timestamp in it. All these reports generated by such a method serve as snapshots.
- To produce plain PDF article document instead of beamer slides, turn off `beamer` in `report()`.

## Prerequirements

- `pandoc`: https://pandoc.org/installing.html
- `texlive`/`mactex`(for MacOS): https://www.tug.org/texlive/ http://www.tug.org/mactex/

And if you use some IDEs like PyCharm, you need to add their path (use `which tex` and `which pandoc` in bash environment to find them) to environment variables `$PATH` in IDE run options. (e.g. in Pycharm,`run`-> `edit configuration` -> `environment variables`)

For [Jupyter Notebook](https://jupyter.org/) users, the final output file may not be opened on Chrome (see [this question](https://stackoverflow.com/questions/55251691/how-to-open-pdf-file-in-jupyter-file-browser)). So, for convenience, you can download [Firefox](https://www.mozilla.org/en-US/firefox/new/) to write notebooks and view pdf reports right after generating.