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CV Generator

CV generator combining a json data file and a xml template with the Jinja2 template engine and z3c (an alternative to ReportLab's RML PDF generation XML format) to generate a customizables Curriculum vitae pdfs.

Install

To handle the packages this project use pipenv, so you can install it:

$ pip install --user pipx
$ pipx install pipenv

And with pipenv installed only you need go to the repositorie root and use pipenv install.

$ cd /path-to-cv-generator
$ pipenv install

Quick Start

First create a custom name subdirectory inside of /data, check the sample structure:

data/
└── sample
    ├── data.js
    └── img

In data.js is where all your cv data will be stored. And inside ./data/sample/img you can store the custom img that you need like your profile picture. See the data Reference to know how structure your data.

To see the help guide:

$ pipenv shell
(cv-generator)$ python main.py --help
usage: cv-generator [-h] [-o [FILE]] [-t [TEMPLATE_NAME]] [input_data]

positional arguments:
  input_data            Path where data.json is stored

optional arguments:
  -h, --help            show this help message and exit
  -o [FILE], --output [FILE]
                        PDF Filename that will be stored inside ./output/
  -t [TEMPLATE_NAME], --template [TEMPLATE_NAME]
                        xml file name to use like template. It should be stored inside ./templates/

Example

Test the sample data, the default template is cv-one-column-default.xml.

$ pipenv shell
# Default template
(cv-generator)$ python main.py -o sample_cv_one_column
sample_cv_one_column.pdf was successful created in output/sample_cv_one_column.pdf

# Specify a custom template inside ./templates/
(cv-generator)$ python main.py -o sample_cv_two_column -t cv-two-columns.xml
sample_cv_two_column.pdf was successful created in output/sample_cv_two_column.pdf

The output pdfs looks similar to the imagen below. cv-example-one-and-two-columns.png

You can review them in sample_cv_one_column.pdf and sample_cv_two_column.pdf)

Learn more

Read the wiki to know how structure your data and how create custom templates.

References

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