dt-mobility-causal-intervention

This is a prototype of how to share a DT.

graph LR
    ExternalDatabase[External Database] --> SQLDataloader[SQL Dataloader]
    ExternalDatabase --> PostGisDataloader[Post-GIS Dataloader]

    subgraph ODTP
        SQLDataloader --> ODTPMobilitySimulation[ODTP Mobility Simulation]
        PostGisDataloader --> ODTPMobilitySimulation
        ODTPMobilitySimulation --> ODTpMetrics[ODTP Mobility Metrics]
        ODTPMobilitySimulation --> ODTpNextLocationPrediction[ODTP Next Location Prediction]

        ODTpNextLocationPrediction --> PYGWalker[pyGWalker CSV Visualization]
        ODTpMetrics --> PYGWalker
    end

    Model[Model] --> ODTpNextLocationPrediction

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In order to adapt this to the current ODTP pipeline, the workflow is executed in this order:

1. SQL-Dataloader
2. Post-GIS Dataloader
3. Mobility Simulation
4. Mobility Metrics
5. Next Location Prediction
6. pyGWalker

Tutorial

1. Clone this repository
2. Edit dt-mobility-causal-intervention.sh with the ODTP user email and the desired digital twin and execution name.
3. Configure the parameters in parameters
4. Configure the secrets in secrets. Rename 001.secrets.dist and 002.secrets.dist to 001.secrets and 002.secrets. Add your credentials.
5. Run the bash script in your odtp instance: sh dt-mobility-causal-intervention.sh

How to remove the execution? This command will delete any mongoDB entry and the content of the execution folder, allowing for a fresh execution.

odtp execution delete --execution-name execution --project-path $(pwd)/dt-mobility-causal-intervention/execution

Changelog

• v0.2.0

  • Updated components
  • Added docker-compose for testing purposes.

• v0.1.0

  • Initial implementation