Drocer Web Application

Flask web application for serving the Drocer web application.

Installation

(clone repo)
cd (local repo directory)
virtualenv venv
source venv/bin/activate
pip install -r requirements.txt

Extraction and indexing.

• Download source PDFs from Cleveland City Council and place in data/pdf.
• Enter tools directory, run the extractor: python extractor.py. This writes JSON files to data/json.
• Enter tools directory, run the indexer: python indexer.py. This creates a Whoosh index in data/index/city-record.
• Enter tools directory, run the image extractor script: ./convert-pdf-to-png.sh. This creates a PNG file for each page in the source PDFs.

Running the web server

• Development environment server: python run.py.
• Production server configuration is defined in drocer.wsgi

Baked-in Dependencies

• jQuery
• Materialize CSS
• Prism JS

This site is viewable at http://cityrecord.openfordata.com/browse