This tool processes RSV Forecasting Hub model outputs and generates consolidated JSON-LD metadata files for each forecasting round.

Installation

git clone https://github.com/midas-network/smh-to-jsonld.git
cd smh-to-jsonld
pip install -r requirements.txt

Usage

1. Download Source Data

First, download the latest model output data:

python update_source_Data.py

This will download the necessary model outputs and metadata from the RSV Forecasting Hub repository.

2. Generate JSON-LD Files

To process the downloaded data and create consolidated JSON-LD files:

python create_jsonld.py

Options:

• Use --output to specify a custom output directory

The script will:

• Process all model outputs
• Extract metadata including age groups, locations, and output types
• Generate consolidated JSON-LD files in the output directory

Output

The generated JSON-LD files contain comprehensive metadata about each forecasting round, including:

• Model descriptions and metadata
• Spatial coverage (US states and territories)
• Age group breakdowns
• Output types and targets
• Temporal coverage

Each round's data is saved as round_[ROUND_ID].jsonld in the output directory.