timemachine.py prunes channels that haven’t been updated in 2 weeks. I would expect a continuous stream of gossip, but in the last dataset ( neglecting the 2030 messages ) there are 8 gaps of > 2 weeks without any gossip. Maybe the node collecting the gossip was switched off during those gaps? Selecting a timestamp at the end of such a gap would result in an empty network.
timemachine.py prunes channels that haven’t been updated in 2 weeks. I would expect a continuous stream of gossip, but in the last dataset ( neglecting the 2030 messages ) there are 8 gaps of > 2 weeks without any gossip. Maybe the node collecting the gossip was switched off during those gaps? Selecting a timestamp at the end of such a gap would result in an empty network.