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Module to generate network models (in JSON) and node configuration files (in TOMLs) for wakurtosis runs. It can be deployed in two ways: as a stand-alone python tool or as a docker.

gennet cli

gennet.py takes a range of CLI inputs, and outputs the network data --- in the form of a network_data.json file and a set of per-node TOML files.

> python gennet.py --help
 Usage: gennet.py [OPTIONS]                                                     

              
╭─ Options ────────────────────────────────────────────────────────────────────────────╮
│ --benchmark         --no-benchmark                           [default: no-benchmark] │
│ --output-dir                          TEXT                   [default: network_data] │
│ --prng-seed                           INTEGER                [default: 3]            │
│ --num-nodes                           INTEGER                [default: 4]            │
│ --num-topics                          INTEGER                [default: 1]            │
│ --network-type                        [configmodel|scalefree [default:               │
│                                       |newmanwattsstrogatz   newmanwattsstrogatz]    │
│                                       |barbell|balancedtree                          │
│                                       |star]                                         │
│ --num-subnets                         INTEGER                [default: 1]            │
│ --num-partitions                      INTEGER                [default: 1]            │
│ --config-file                         TEXT                                           │
│ --help                                                       Show this message and   │
│                                                              exit.                   │
╰──────────────────────────────────────────────────────────────────────────────────────╯

Our tool can also take arguments from a json file, specified using --config-file option.

Following is an example json file:

{
  "general":{
    "prng_seed" : 67
  },
  "gennet": {
    "num_nodes": 100,
    "num_topics": 150,
    "num_partitions": 1,
    "num_subnets": 2,
    "node_type_distribution": { "nwaku":50, "gowaku":50},
    "node_type": "desktop",
    "network_type": "scalefree",
    "output_dir": "generated_network"
  }
}

Note that CLI arguments take precedence over the configuration file options.

gennet docker

The gennet module can also be run as a docker. The Dockerfile provided can be used to build and run the gennet container as follows:

> docker build -t gennet .

> docker run --name gennet-container -v ${dir}/config/:/config gennet --config-file /config/$input_config_file --output-dir /config/$output_dir

When run this way, the docker will mount the host's config dir as a volume, allowing the gennet container to access the $input_config_file in the host filesystem; gennet reads the config.json and outputs a network under the $output_dir which is made accessible to the host via a subsequentdocker cp.

batch_gen.sh

batch_gen.sh can generate given number of Waku networks and outputs them to a directory. Please make sure that the output directory does NOT exist; both relative and absolute paths work. The Wakunode parameters are generated at random; edit the MIN and MAX for finer control. The script requires bc & /dev/urandom.

usage: $./batch_gen.sh <#number of networks needed>