495fe8cd84
* make regular graphs the default * added regular graph * network and degree distribution plots * log network type * handle n*d odd * set fanout to 6 * title/ylable * added --num-nodes --fanout to title * remove prints in draw * avg degree, float format * config.json |
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.. | ||
.dockerignore | ||
Dockerfile | ||
Readme.md | ||
batch_gen.sh | ||
build_docker.sh | ||
gennet.py | ||
requirements.txt |
Readme.md
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>