Extends the invalid payment details failure with the new accept height
field. This allows sender to distinguish between a genuine invalid
details situation and a delay caused by intermediate nodes.
This commit modifies paymentLifecycle so that it not only feeds
failures into mission control, but successes as well.
This allows for more accurate probability estimates. Previously,
the success probability for a successful pair and a pair with
no history was equal. There was no force that pushed towards
previously successful routes.
This commit overhauls the interpretation of failed payments. It changes
the interpretation rules so that we always apply the strongest possible
set of penalties, without making assumptions that would hurt good nodes.
Main changes are:
- Apply different rule sets for intermediate and final nodes. Both types
of nodes have different sets of failures that we expect. Penalize nodes
that send unexpected failure messages.
- Distinguish between direct payments and multi-hop payments. For direct
payments, we can infer more about the performance of our peer because we
trust ourselves.
- In many cases it is impossible for the sender to determine which of
the two nodes in a pair is responsible for the failure. In this
situation, we now penalize bidirectionally. This does not hurt the good
node of the pair, because only its connection to a bad node is
penalized.
- Previously we always penalized the outgoing connection of the
reporting node. This is incorrect for policy related failures. For
policy related failures, it could also be that the reporting node
received a wrongly crafted htlc from its predecessor. By penalizing the
incoming channel, we surely hit the responsible node.
- FailExpiryTooSoon is a failure that could have been caused by any node
up to the reporting node by delaying forwarding of the htlc. We don't
know which node is responsible, therefore we now penalize all node pairs
in the route.
This commit moves the payment outcome interpretation logic into a
separate file. Also, mission control isn't updated directly anymore, but
results are stored in an interpretedResult struct. This allows the
mission control state to be locked for a minimum amount of time and
makes it easier to unit test the result interpretation.
