diff --git a/Readme.md b/Readme.md
index 2e90cc3..2a91c15 100644
--- a/Readme.md
+++ b/Readme.md
@@ -2,11 +2,11 @@ This repo contains scripts to generate network models (in JSON) and waku configu
## generate_network.py
-generate_network.py generates one network and per-node configuration files. The tool is configurable with specified number of nodes, topics, network types, node types. Use with Python3. Comment out the `#draw(fname, H)` line to visualise the generated graph.
+generate_network.py generates one network and per-node configuration files. The tool is configurable with specified number of nodes, topics, network types, node types and number of subnets. Use with Python3. Comment out the `#draw(fname, H)` line to visualise the generated graph.
> usage: $./generate_network --help
## 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 exists; 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.
+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>
diff --git a/batch_gen.sh b/batch_gen.sh
index 3ea571b..bc0ffdf 100755
--- a/batch_gen.sh
+++ b/batch_gen.sh
@@ -30,8 +30,8 @@ mkdir -p $path
echo "Ok, will generate $nfiles networks & put them under '$path'."
-nwtype="NEWMANWATTSSTROGATZ"
-nodetype="DESKTOP"
+nwtype="newmanwattsstrogatz"
+nodetype="desktop"
for i in $(seq $nfiles)
@@ -40,8 +40,11 @@ do
n=$((RANDOM+1))
getrand
t=$((RANDOM+1))
+ getrand
+ s=`expr $((RANDOM+1)) % $n`
+
dirname="$path/$i/Waku"
mkdir "$path/$i"
- echo "Generating ./generate_network.py --dirname $dirname --num-nodes $n --num-topics $t --nw-type $nwtype --node-type $nodetype --num-partitions 1 ...."
- $(./generate_network.py --dirname $dirname --num-nodes $n --num-topics $t --nw-type $nwtype --node-type $nodetype --num-partitions 1)
+ echo "Generating ./generate_network.py --dirname $dirname --num-nodes $n --num-topics $t --nw-type $nwtype --node-type $nodetype --num-partitions 1 --num-subnets $s ...."
+ $(./generate_network.py --dirname $dirname --num-nodes $n --num-topics $t --nw-type $nwtype --node-type $nodetype --num-partitions 1 --num-subnets $s)
done
diff --git a/generate_network.py b/generate_network.py
index c40045d..a048248 100755
--- a/generate_network.py
+++ b/generate_network.py
@@ -35,7 +35,8 @@ class networkType(Enum):
NW_DATA_FNAME = "network_data.json"
-PREFIX = "waku_"
+NODE_PREFIX = "waku"
+SUBNET_PREFIX = "subnetwork"
### I/O related fns ##############################################################
@@ -53,7 +54,7 @@ def write_toml(dirname, node_name, toml):
f.write(toml)
-# Draw the network and output the image to a file
+# Draw the network and output the image to a file; does not account for subnets yet
def draw(dirname, H):
nx.draw(H, pos=nx.kamada_kawai_layout(H), with_labels=True)
fname = os.path.join(dirname, NW_DATA_FNAME)
@@ -67,7 +68,7 @@ def read_json(fname):
jdata = json.load(f)
return nx.node_link_graph(jdata)
-
+# check if the required dir can be created
def exists_and_nonempty(dirname):
if not os.path.exists(dirname):
return False
@@ -151,17 +152,40 @@ networkTypeSwitch = {
# Generate the network from nw type
def generate_network(n, nw_type):
- return postprocess_network(networkTypeSwitch.get(nw_type)(n))
+ return postprocess_network(networkTypeSwitch.get(nw_type)(n))
# Label the generated network with prefix
def postprocess_network(G):
G = nx.Graph(G) # prune out parallel/multi edges
G.remove_edges_from(nx.selfloop_edges(G)) # remove the self-loops
- mapping = {i: f"{PREFIX}{i}" for i in range(len(G))}
+ mapping = {i: f"{NODE_PREFIX}_{i}" for i in range(len(G))}
return nx.relabel_nodes(G, mapping) # label the nodes
+def generate_subnets(G, num_subnets):
+ n = len(G.nodes)
+ if num_subnets > n:
+ raise ValueError(f"num_subnets must be <= num_nodes: num_subnets={num_subnets}, num_nodes={n}")
+ if num_subnets == n: # if k == size of the network
+ return {f"{NODE_PREFIX}_{i}": f"{SUBNET_PREFIX}_{i}" for i in range(n)}
+
+ lst = list(range(n))
+ random.shuffle(lst)
+ offsets = sorted(random.sample(range(1, n), num_subnets - 1))
+ offsets.append(n)
+
+ start = 0
+ subnets = {}
+ subnet_id = 0
+ for end in offsets:
+ for i in range(start, end):
+ subnets[f"{NODE_PREFIX}_{lst[i]}"] = f"{SUBNET_PREFIX}_{subnet_id}"
+ start = end
+ subnet_id += 1
+ return subnets
+
+
### file format related fns ###########################################################
#Generate per node toml configs
def generate_toml(topics, node_type=nodeType.DESKTOP):
@@ -170,15 +194,17 @@ def generate_toml(topics, node_type=nodeType.DESKTOP):
# Generates network-wide json and per-node toml and writes them
-def generate_and_write_files(dirname, num_topics, H):
+def generate_and_write_files(dirname, num_topics, num_subnets, G):
topics = generate_topics(num_topics)
+ subnets = generate_subnets(G, num_subnets)
json_dump = {}
- for node in H.nodes:
+ for node in G.nodes:
write_toml(dirname, node, generate_toml(topics)) # per node toml
json_dump[node] = {}
json_dump[node]["static-nodes"] = []
- for edge in H.edges(node):
+ for edge in G.edges(node):
json_dump[node]["static-nodes"].append(edge[1])
+ json_dump[node][SUBNET_PREFIX] = subnets[node]
write_json(dirname, json_dump) # network wide json
@@ -187,11 +213,15 @@ def main(
dirname: str = "WakuNetwork", num_nodes: int = 4, num_topics: int = 1,
nw_type: networkType = networkType.NEWMANWATTSSTROGATZ.value,
node_type: nodeType = nodeType.DESKTOP.value,
+ num_subnets: int = -1,
num_partitions: int = 1):
if num_partitions > 1:
print(f"--num-partitions {num_partitions}, Sorry, we do not yet support partitions")
sys.exit(1)
+
+ if num_subnets == -1:
+ num_subnets = num_nodes
# Generate the network
G = generate_network(num_nodes, nw_type)
@@ -202,8 +232,8 @@ def main(
os.makedirs(dirname, exist_ok=True)
# Generate file format specific data structs and write the files; optionally, draw the network
- generate_and_write_files(dirname, num_topics, G)
- draw(dirname, G)
+ generate_and_write_files(dirname, num_topics, num_subnets, G)
+ #draw(dirname, G)
if __name__ == "__main__":