def total_cost_from_start_to_dst(
self, cost_from_start_to_node: Cost, node, dst, edge_data
):
if get_is_frozen(edge_data):
return None
capacity_from_start_to_node = -cost_from_start_to_node.minus_capacity
num_hops = cost_from_start_to_node.num_hops
previous_hop_fee = cost_from_start_to_node.previous_hop_fee
if num_hops + 1 > self.max_hops:
return None
capacity_this_edge = min(
self.get_capacity(node, dst, edge_data),
capacity_from_start_to_node - previous_hop_fee,
)
if capacity_this_edge <= 0:
return None
fee = calculate_fees(
imbalance_generated=imbalance_generated(
value=capacity_this_edge, balance=self.get_balance(node, dst, edge_data)
),
capacity_imbalance_fee_divisor=self.capacity_imbalance_fee_divisor,
)
return self.Cost(
minus_capacity=-capacity_this_edge,
num_hops=num_hops + 1,
previous_hop_fee=fee,
)
def total_cost_from_start_to_dst(
self, cost_from_start_to_node, node, dst, edge_data
):
if dst == self.ignore or node == self.ignore:
return None
if get_is_frozen(edge_data):
return None
sum_fees, num_hops = cost_from_start_to_node
if num_hops + 1 > self.max_hops:
return None
# fee computation has been inlined here, since the comment in
# Graph._get_fee suggests it should be as fast as possible. This means
# we do have some code duplication, but I couldn't use some of the
# methods in Graph anyway, because they don't take a timestamp argument
# and rather use the current time.
#
# We should profile this at some point in time.
#
# We do the pathfinding in reverse, when the sender pays. In this
# method this means that the payment is done from dst to node, i.e. the
# order of arguments node and dst is reversed in the following code
pre_balance = balance_with_interests(
get_balance(edge_data, dst, node),
get_interest_rate(edge_data, dst, node),
get_interest_rate(edge_data, node, dst),
self.timestamp - get_mtime(edge_data),
)
if num_hops == 0:
fee = 0
else:
fee = calculate_fees_reverse(
imbalance_generated=imbalance_generated(
value=self.value + sum_fees, balance=pre_balance
),
capacity_imbalance_fee_divisor=self.capacity_imbalance_fee_divisor,
)
if sum_fees + fee > self.max_fees:
return None
# check that we don't exceed the creditline
capacity = pre_balance + get_creditline(edge_data, node, dst)
if self.value + sum_fees + fee > capacity:
# creditline exceeded
return None
return self.Cost(fees=sum_fees + fee, num_hops=num_hops + 1)
def total_cost_from_start_to_dst(
self, cost_from_start_to_node: Cost, node, dst, edge_data
):
if dst == self.ignore or node == self.ignore:
return None
if get_is_frozen(edge_data):
return None
# For this case the pathfinding is not done in reverse.
#
# we maintain the computed fee for the previous hop, since that is only
# 'paid out' when we jump to the next hop The first element in this
# tuple has to be the sum of the fees not including the fee for the
# previous hop, since the graph finding algorithm needs to sort by that
# and not by what would be paid out if there is another hop
sum_fees, num_hops, previous_hop_fee = cost_from_start_to_node
if num_hops + 1 > self.max_hops:
return None
pre_balance = balance_with_interests(
get_balance(edge_data, node, dst),
get_interest_rate(edge_data, node, dst),
get_interest_rate(edge_data, dst, node),
self.timestamp - get_mtime(edge_data),
)
fee = calculate_fees(
imbalance_generated=imbalance_generated(
value=self.value - sum_fees - previous_hop_fee, balance=pre_balance
),
capacity_imbalance_fee_divisor=self.capacity_imbalance_fee_divisor,
)
if sum_fees + previous_hop_fee > self.max_fees:
return None
# check that we don't exceed the creditline
capacity = pre_balance + get_creditline(edge_data, dst, node)
if self.value - sum_fees - previous_hop_fee > capacity:
# creditline exceeded
return None
return self.Cost(
fees=sum_fees + previous_hop_fee,
num_hops=num_hops + 1,
previous_hop_fee=fee,
)
def is_frozen(self):
return get_is_frozen(self.data)