This commit fixes the to-local-witness estimate to use the correct
witness size estimate for anchor channels. We retain the off-by-one bug
from the original constant otherwise.
This commit modifies the JusticeDescriptor to support creation of
justice transactions spending from anchor commitments. Rather than the
unencumbered p2wkh scripts from before, the tower will now use the
to-remote-confirmed that includes the additional CSV delay of 1. This
also requires setting the sequence number appropriately on the to-remote
input.
This commit modifies the ToRemoteWitnessScript function to be
conditioned on the blob type, and return either the legacy or anchor
to-remote script. The same witness satisfies either script, so no
changes are necessary to ToRemoteWitnessStack.
This is also a prepatory step to making
TestJusticeKitRemoteWitnessConstruction parameteried by the blob type so
we can test both anchor and legacy witness construction.
This commit enables lnd to request and renew a Let's Encrypt
certificate. This certificate is used both for the grpc as well as the
rest listeners. It allows clients to connect without having a copy of
the (public) server certificate.
Co-authored-by: Vegard Engen <vegard@engen.priv.no>
As we already create two channels in our PSBT funding flow itest we can
easily just submit the final transaction for the second channel in the
raw wire format to test this new functionality.
This is required to make restart work for LndMobile builds.
Not calling UnloadWallet would make `UnlockWallet` stall forever as
the file is already opened.
Due to a misunderstanding about how the entities/actions are encoded
inside the macaroon, only the first action was printed per entity.
Even though we add them as separate pairs in the macaroon service (for
example "offchain:read" and "offchain:write"), they are grouped in the
serialized macaroon ("offchain:read,write").
To be spec compliant, we require the initiator to not pay the anchor
values into fees on coop close. We extract the balance calculation into
commitment.go, and add back the value of the anchors to the initiator's
balance.
Give the external subservers the possibility to also use their own
validator to check any macaroons attached to calls to their registered
gRPC URIs.
This allows them to have their own root key ID database and permission
entities.
When external subservers register themselves to be served through the
same gRPC interface as the main lnd RPC, their requests are also
intercepted by the main lnd macaroon interceptor.
If the external subservers want to use their own macaroons that are
independent of lnd's, they need a way to overwrite the default validator
of the macaroon interceptor. We add this mechanism with the concept of
external validators.
When starting up with lnd.conf that contains the sample line
"tor.active", lnd crashes and prints the error:
malformed key=value (tor.active)
Using "tor.active=true" instead works as expected.
Since we store all-time flap count for a peer, we add a cooldown factor
which will discount poor flap counts in the past. This is only applied
to peers that have not flapped for at least a cooldown period, so that
we do not downgrade our rate limiting for badly behaved peers.
Since we will use peer flap rate to determine how we rate limit, we
store this value on disk per peer per channel. This allows us to
restart with memory of our peers past behaviour, so we don't give badly
behaving peers have a fresh start on restart. Last flap timestamp is
stored with our flap count so that we can degrade this all time flap
count over time for peers that have not recently flapped.
To prevent flapping peers from endlessly dos-ing us with online and
offline events, we rate limit the number of events we will store per
period using their flap rate to determine how often we will add their
events to our in memory list of online events.
Since we are tracking online events, we need to track the aggregate
change over the rate limited period, otherwise we will lose track of
a peer's current state. For example, if we store an online event, then
do not store the subsequent offline event, we will believe that the
peer is online when they actually aren't. To address this, we "stage"
a single event which keeps track of all the events that occurred while
we were rate limiting the peer. At the end of the rate limting period,
we will store the last state for that peer, thereby ensureing that
we maintain our record of their most recent state.
