Note
This project uses a Python virtual environment. Please use source .venv/bin/activate or use the python executable at .venv/bin/python3 when running scripts.
On-set VFX Data Collection and usage web site. This processes the google doc https://docs.google.com/document/d/13TsptYa5uNO52btOw1nat1cLSBG88t27W3BXHBZPvoc/edit?tab=t.0#heading=h.h7s96q27odn9 into a format that is easily filterable, since the document is huge and can be overwhelming.
- Ensure you have Python 3 installed.
- Install dependencies:
pip install -r requirements.txt
The dashboard data is generated from a Google Doc export.
Run the converter with the Google Doc ID:
python3 data/convert_doc.py --doc-id 13TsptYa5uNO52btOw1nat1cLSBG88t27W3BXHBZPvocThis will automatically download the HTML export and update data.js.
- Export the Google Doc:
- Open the source Google Doc.
- Go to File > Download > Web Page (.html, zipped).
- Prepare the File:
- Unzip the downloaded file.
- Rename the HTML file inside to
doc_export.html. - Place it in the
data/directory of this repository.
- Run the Converter:
python3 data/convert_doc.py
Simply open dashboard/index.html in your web browser. No server is required.
Web page and import script by Sam Richards. On-set document by Sheena Duggal with contributions from Sam Richards, Jim Geduldick, and Jake Morrison, and technical support from Jean-Francois Panisset