Pabst

Pabst is named after the legendary American beer 'Pabst Blue Ribbon', because PBR = Parsing Bank Records

Notes:

• uses the Dash framework
• pdf to text(exp_text_parser.py) is currently better than ocr, used as default by main_parser.py
• Put all pdf files inside the ./parsing directory to convert to csv. The csv files are output in ./data

Dev

/data holds input csv data

Installing viz-only, without Docker

For Windows, first install miniconda (follow setup to create env also) and then install dash with conda:

conda install -c conda-forge pandas dash dash-html-components dash-core-components

Other:

pip install -r requirements.txt
pip install pandas

Running:

activate [name-of-env] # switch to conda env
python app.py   # Full main app

Installing OCR deps, without Docker

Tips: use Python 3, make sure if you have 64-bit python, install 64-bit dependency versions. Similarly, 32-bit dep versions for 32-bit python.

source venv/bin/activate # Remember to activate your virtualenv
pip install -r requirements.txt
Install imagemagick and libimagemagickdev (differs by platform). Available via apt on Ubuntu
Install tesseract (see above.)

Installing via Docker

PARSING WITH DOCKER

• Install Docker (and Virtualbox if applicable). May need to install Docker Legacy and Docker Toolbox for older machines.
• Run ./setup_pabst to set up the docker container. Warning, this will take a while.
• Run ./pabst <FILENAME> to run ocr parsing on a file.