Generate BGP reachability graphs from MRT dumps.
Live demo (dn42 tables): IANA | dn42
On modern Python installations you'll probably want to create a venv first:
Then, enter it and install dependencies with pip install -r requirements.txt
The backend script mrt2sql.py reads routes, adjacencies, etc. from MRT dumps and converts it into a SQLite database for querying. This process takes a a few minutes and can probably be optimized further: currently ~2min to read IPv4 + IPv6 dn42 tables.
usage: mrt2sql.py [-h] db_filename mrt_filenames [mrt_filenames ...]
positional arguments:
db_filename SQLite DB to write to
mrt_filenames MRT dump filenames
options:
-h, --help show this help message and exit
The do-update.sh script wraps around this to pull MRT dumps from the dn42 Route Collector and write the resulting DB into the data/ folder. (I run this in a cron job on my deployment)
The routegraphs.py CLI client reads the DB and a query to generate a Graphviz .dot file.
usage: routegraphs.py [-h] db_filename out_filename target source_asn [source_asn ...]
positional arguments:
db_filename SQLite DB to read FROM
out_filename file to export .dot graph to
target target prefix to graph
source_asn source ASNs to graph FROM
options:
-h, --help show this help message and exit
The Flask web frontend provides interactive queries for routegraph. The frontend loads its configuration via environment variables:
ROUTEGRAPHS_DB(required): path to SQLite databaseROUTEGRAPHS_BASE_URL: base URL to the site, for creating links inside graphs
ROUTEGRAPHS_DB=path/to/your/db flask run
I use nginx and gunicorn for my set up, but there are many ways to deploy Flask apps. Some systemd examples for starting routegraphs with gunicorn live in the systemd/ folder.