use std::{sync::Arc, collections::HashMap};
use parity_scale_codec::Encode;
use crate::{ext::*, RoundNumber, Step, DataFor, SignedMessageFor, Evidence};
type RoundLog<N> = HashMap<<N as Network>::ValidatorId, HashMap<Step, SignedMessageFor<N>>>;
pub(crate) struct MessageLog<N: Network> {
weights: Arc<N::Weights>,
round_participation: HashMap<RoundNumber, u64>,
participation: HashMap<(RoundNumber, Step), u64>,
message_instances: HashMap<(RoundNumber, DataFor<N>), u64>,
pub(crate) log: HashMap<RoundNumber, RoundLog<N>>,
}
impl<N: Network> MessageLog<N> {
pub(crate) fn new(weights: Arc<N::Weights>) -> MessageLog<N> {
MessageLog {
weights,
round_participation: HashMap::new(),
participation: HashMap::new(),
message_instances: HashMap::new(),
log: HashMap::new(),
}
}
pub(crate) fn log(&mut self, signed: SignedMessageFor<N>) -> Result<bool, Evidence> {
let msg = &signed.msg;
let round = self.log.entry(msg.round).or_insert_with(HashMap::new);
let msgs = round.entry(msg.sender).or_insert_with(HashMap::new);
let step = msg.data.step();
if let Some(existing) = msgs.get(&step) {
if existing.msg.data != msg.data {
log::debug!(
target: "tendermint",
"Validator sent multiple messages for the same block + round + step"
);
Err(Evidence::ConflictingMessages(existing.encode(), signed.encode()))?;
}
return Ok(false);
}
let sender_weight = self.weights.weight(msg.sender);
if msgs.is_empty() {
*self.round_participation.entry(msg.round).or_insert_with(|| 0) += sender_weight;
}
*self.participation.entry((msg.round, step)).or_insert_with(|| 0) += sender_weight;
*self.message_instances.entry((msg.round, msg.data.clone())).or_insert_with(|| 0) +=
sender_weight;
msgs.insert(step, signed);
Ok(true)
}
pub(crate) fn round_participation(&self, round: RoundNumber) -> u64 {
*self.round_participation.get(&round).unwrap_or(&0)
}
pub(crate) fn has_participation(&self, round: RoundNumber, step: Step) -> bool {
*self.participation.get(&(round, step)).unwrap_or(&0) >= self.weights.threshold()
}
pub(crate) fn has_consensus(&self, round: RoundNumber, data: &DataFor<N>) -> bool {
*self.message_instances.get(&(round, data.clone())).unwrap_or(&0) >= self.weights.threshold()
}
}