41 lines
1.5 KiB
Markdown
41 lines
1.5 KiB
Markdown
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Mount:
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1 - Logs folder (/simulation_data)
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Run:
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- `docker run --network "host" -v $(pwd)/wakurtosis_logs:/simulation_data/ --add-host=host.docker.internal:host-gateway <image> <script> -p <prometheus_port> -i <infra_type>`
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Example:
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- `docker run --network "host" -v $(pwd)/wakurtosis_logs:/simulation_data/ --add-host=host.docker.internal:host-gateway analysis ./src/main.py -i container-proc`
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- `docker run --network "host" -v $(pwd)/wakurtosis_logs:/simulation_data/ --add-host=host.docker.internal:host-gateway analysis ./src/main.py -i cadvisor -p 123456`
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To run tests:
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- `docker run --network "host" -v $(pwd)/wakurtosis_logs:/simulation_data/
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--add-host=host.docker.internal:host-gateway <image> -m unittest discover -s tests -p "*.py"`
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## Plotting configuration
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The configuration is set in `config.json`, inside "plotting" keyword.
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The name of the metric should be the same metric that lives inside Prometheus. This is, any cAdvisor and Waku exposed metric.
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```json
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{
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"plotting": {
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"by_node": [
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"container_cpu_load_average_10s",
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"container_memory_usage_bytes",
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"container_network_receive_bytes_total",
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"container_network_transmit_bytes_total",
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"container_fs_reads_bytes_total",
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"container_fs_writes_bytes_total"
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]
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}
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}
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```
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`by_node`: This means that the metric will be gathered for each node, getting the distribution of the maximum values in the entire simulation.
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`by simulation`: This means that we will get an accumulated value across the entire simulation. **deprecated**
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