A container to emulate a grid with Ieds from different protocols in one or multiple networks or VPNs.
docker-compose builddocker-compose upIf you want to upload a new trace, you need to modify the traces.json file where you should add to the list a trace definition that looks like the following
{
"name": "<trace name>",
"topic": "<topic where you can read your data>",
"filename": "<filename which stores your data.csv>",
"noise_factor": 0.1,
"match_timestamp_by": "<matches the timestamp by this unit ex: minute>",
"target_value": "<csv column to read>"
}Let "match_timestamp_by" be set to minute" this says that your data must define for a date at least 60 seconds which will be looped over. So in this case your csv file should look like the following
timestamp,col1
2024-01-01 00:00:00+00:00,130.4
2024-01-01 00:01:00+00:00,130.6
2024-01-01 00:02:00+00:00,131.3
2024-01-01 00:03:00+00:00,132.1
...
2024-01-01 00:58:00+00:00,121.3
2024-01-01 00:59:00+00:00,135.1
Where you set as many columns as you want to use for the 60 seconds defined.
Now let us suppose we set "match_timestamp_by" to "hour" then you should set in your csv file a value for every hour and every minute for 1 day.
After code your trace function in scripts/trace_creator.py you need to add the function to the main of the file and run the following command
make tracesThis create a new traces files in the respective data directory and update the traces.json file.
segment_updater requires access to the splight-lib library. To utilize this library ensure you have properly setup a secret ID and secret key for the organization you wish to update. Add these credentials to your ~/.splight/config file as shown below:
current_workspace: default workspaces: default: SPLIGHT_ACCESS_ID: {accessID} SPLIGHT_PLATFORM_API_HOST: https://integrationapi.splight.com SPLIGHT_SECRET_KEY: {secretKey}
Also, update your environment to use the correct version using:
export API_VERSION = v4
Setup is complete
To run segment_updater navigate to the scripts directory and run python segment_updater.py. The script will update the distance_to_next_tower, altitude, and cable_span metadata fields on every segment in the organization.