vegomatic 0.2.1

Veg-o-Matic is a multi-module library of various Python Utilities that I have evolved over the years. It originally started as PyDataXlate to provide a data driven field mapping of data sources that I used for various website migrations.

Veg-o-Matic

Veg-o-Matic is a multi-module library of various Python Utilities that I have evolved over the years. It originally started as PyDataXlate to provide a data driven field mapping of data sources that I used for various website migrations.

Basic functions include:

• File operations
• Simple database layer
• Data translation from PyDataXlate.
• GraphQL client with plugable extensions.

PyDataXlate used setuptools. For Veg-o-Matic I'm taking my first foray into Poetry.

Veg-o-Matic lives here at https://github.com/markfrommn/vegomatic.

Available Modules

datadb

A simple library of database access.

• Simple database layer that abstracts out the DB layer to provide simple support for the most popular databases.
  • MySQL
  • Postgres
  • sqlite3

datafetch

A wrapper around datadb to fetch data from databases into various convenient program friendly forms including:

• A list of dictionaries.

datafile

A simple set of routines to get sstructured data to/from text files.

datamap

A datamapping module that maps datasets using data driven field mapping including simple field names, custom translation, etc.

gqlfetch

A high-level GraphQL client library that provides easy data fetching from GraphQL endpoints with support for pagination, async operations, and optional DSL query building. Features include cursor-based pagination, flexible data extraction, and context manager support.

gqlf-modules

Example modules for gqlfetch. These will likely move into their own repository at some point.

• GitHub - Access users, repos, PRs and commits for a Github organization / owner.

Project Structure

python-snippets/
├── README.md
├── README_datadb.md
├── README_datafetch.md
├── README_datafile.md
├── README_datamap.md
├── README_gqlfetch.md
├── README_gqlf-modules.md
├── requirements.txt
├── setup.py
├── examples/
│   ├── example_datadb.py
│   ├── example_datafetch.py
│   ├── example_datafile.py
│   ├── example_datamap.py
│   ├── example_gqlfetch.py
│   └── example_gqlf-github.py
├── src/vegomatic/
│   │   ├── __init__.py
│   │   ├── foo.py
│   │   └── boo.py
│   ├── datafetch/
│   │   ├── __init__.py
│   │   ├── foo.py
│   │   └── boo.py
│   ├── datafile/
│   │   ├── __init__.py
│   │   ├── foo.py
│   │   └── boo.py
│   ├── datamap/
│   │   ├── __init__.py
│   │   ├── foo.py
│   │   └── boo.py
│   ├── gqlfetch/
│   │   ├── __init__.py
│   │   ├── foo.py
│   │   └── boo.py
│   ├── gqlf-github/
│   │   ├── __init__.py
│   │   ├── foo.py
│   │   └── boo.py
│   └── ...
├── tests/
│   ├── test_datadb.py
│   ├── test_datafetch.py
│   ├── test_datafile.py
│   ├── test_datamap.py
│   ├── test_gqlfetch.py
│   └── test_gqlf-github.py
├── ...

How to Install / Use

Pythonistas can ignore and not be offended by the obvious tutorial on pyenv.

pyenv

It is strongly recommended to use pyenv or similar in general. Assuming you have pyenv, then to start then something like:

# Because of course you can never remember what is available.
pyenv versions 

 # Set to what you want venv to setup with
pyenv local 3.13.1

# Because pip is always out of date and will complain endlessly, but this doesn't actually fix the venv...
pip install --upgrade pip 

# Initialize the venv (or reset to current version)
# And pass --upgrade-deps because venv will downgrade your pip because the ensurepip package has a bundled pip bound to the python version
python3 -m venv --upgrade-deps .venv

# activate the venv
source .venv/bin/activate

# Verify you are happily getting python from the venv
which python

<whereiam>/vegomatic/.venv/bin/python

# ... do lots of stuff - when done, turn off the venv...
deactivate

# Trust but verify...
which python
Somewhere in <yourhomedir> , /usr, /opt, etc

...unless you are a heathen and do *pyenv activate system*.

Now you are ready to get python ready to use the actual code.

# Install dependencies
pip install -r requirements.txt

# Install the packagse in development mode
pip install -e .

How to Use

Import modules in your Python code:

# Blah

Testing

Run the test suites to verify everything works:

python tests/test_datadb.py
python tests/test_datafetch.py
python tests/test_datafile.py
python tests/test_datamap.py
python tests/test_gqlfetch.py
python tests/test_gqlf-github.py

Examples

Run the example scripts to see the modules in action:

python examples/example_datadb.py
python examples/example_datafetch.py
python examples/example_datafile.py
python examples/example_datamap.py
python examples/example_gqlfetch.py
python examples/example_gqlf-github.py

Adding Modules

Add new modules as subdirectories under src/vegomatic/, each with an __init__.py file.

History Notes

This was a a Python library for mapping data meant for use in data export/import cases including data driven field mapping and translation called PyDataXlate. It was used for vBulletin -> WordPress -> Xenforo migration over the years for www.beechaeroclub.org (and the Xenforo subsite core.beechaereoclub.org).

Please note that any existing invention disclosures and Copyright that reference PyDataXlate library apply to Veg-o-Matic and follow it here as Veg-o-Matic is a direct derivation of that work. As the copyright holder I revoke any previous license for this derived code other than the licensing given in this repository.