VES On-set VFX Data Collection and usage web site.

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.

Setup

1. Ensure you have Python 3 installed.
2. Install dependencies:

   pip install -r requirements.txt

Data Import

The dashboard data is generated from a Google Doc export.

Option 1: Automatic Download (Recommended)

Run the converter with the Google Doc ID:

python3 data/convert_doc.py --doc-id 13TsptYa5uNO52btOw1nat1cLSBG88t27W3BXHBZPvoc

This will automatically download the HTML export and update data/data.json and data/directory_data.json.

Option 2: Manual Import

1. Export the Google Doc:
   • Open the source Google Doc.
   • Go to File > Download > Web Page (.html, zipped).
2. 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.
3. Run the Converter:

   python3 data/convert_doc.py

Running the Dashboard

The dashboard now loads data via fetch(), so a local HTTP server is required:

python3 -m http.server 8080

Then open http://localhost:8080/dashboard/index.html in your browser.

Note

Opening dashboard/index.html directly as a file:// URL will no longer work because browsers block fetch() requests on the file:// protocol.

Authors

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