Update and clarify README

README.md

@@ -10,7 +10,7 @@ as a neat graphviz graph.
 ## Usage
     usage: docker-net-graph.py [-h] [-v] [-o OUT]
 
-    Generate docker network graph.
+    Visualize docker networks.
     
     optional arguments:
       -h, --help         show this help message and exit
@@ -19,12 +19,12 @@ as a neat graphviz graph.
 
 In most cases what you want to run are the following couple commands:
 
-    git clone https://github.com/LeoVerto/docker-network-graph-poc.git
-    cd docker-network-graph-poc
+    git clone https://github.com/LeoVerto/docker-network-graph.git
+    cd docker-network-graph
     pipenv install
-    pipenv run python docker-net-graph.py -o output.gv
+    pipenv run python docker-net-graph.py -o output.svg
 
-This will end up generating a .pdf file containing the graph.
+This will generate an .svg file containing the graph.
 
 ## Running inside docker
 If you want to generate a graph for a remote system you can also easily
@@ -32,13 +32,18 @@ run this script inside a pre-built docker container:
     
     docker run --rm -v /var/run/docker.sock:/var/run/docker.sock leoverto/docker-network-graph
 
-This will just generate and output the graph. You can then run
-`fdp -Tpdf -o out.pdf`or `fdp -Tpng -o out.png` on a system with
-graphviz installed, paste the previous output there, press enter
-and finally CTRL+C to generate the file.
+This will just generate and output the graph in the [DOT Language][dot].
+You can then paste that code into [GraphvizOnline][gvonline]
+to render it. The recommended rendering engine is `fdp`.
+
+Alternatively, if you prefer to render locally, you can run
+`fdp -Tpng -o out.png` on a system with graphviz installed,
+paste the previous output there, press enter and finally CTRL+C to
+generate the file.
 
-Alternatively, you can use [this website](https://dreampuf.github.io/GraphvizOnline/) for an online version of Graphviz.
-The recommended render engine is `fdp`.
 
 For more advanced use cases you can append arguments to the `docker run`
-command as if you were running it in a local shell.
+command as if you were running it in a local shell.
+
+[dot]: https://www.graphviz.org/doc/info/lang.html
+[gvonline]: https://dreampuf.github.io/GraphvizOnline/

docker-net-graph.py

@@ -183,7 +183,7 @@ def graphviz_output_file(filename: str):
 
 
 if __name__ == "__main__":
-    parser = argparse.ArgumentParser(description="Generate docker network graph.")
+    parser = argparse.ArgumentParser(description="Visualize docker networks.")
     parser.add_argument("-v", "--verbose", help="Verbose output", action="store_true")
     parser.add_argument("-o", "--out", help="Write output to file", type=graphviz_output_file)
     args = parser.parse_args()