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engine_branch.go
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package optimus
import (
"context"
"fmt"
"go.uber.org/zap"
)
type ordersPool map[string]*MarketOrder
func (m ordersPool) Clone() ordersPool {
pool := map[string]*MarketOrder{}
for _, order := range m {
id := order.GetOrder().GetId().Unwrap().String()
pool[id] = order
}
return pool
}
type node struct {
Knapsack *Knapsack
OrdersPool map[string]*MarketOrder
depth int
children []*node
log *zap.SugaredLogger
}
func newNode(ctx context.Context, knapsack *Knapsack, ordersPool ordersPool, depth int, log *zap.SugaredLogger) (*node, error) {
if err := contextDone(ctx); err != nil {
return nil, err
}
children := make([]*node, 0, len(ordersPool))
for id, order := range ordersPool {
knapsack := knapsack.Clone()
if err := knapsack.Put(order.GetOrder()); err != nil {
continue
}
pool := ordersPool.Clone()
delete(pool, id)
node, err := newNode(ctx, knapsack, pool, depth+1, log)
if err != nil {
return nil, err
}
if node != nil {
children = append(children, node)
}
}
if len(children) == 0 {
log.Debugf("found leaf node %d", depth)
}
m := &node{
Knapsack: knapsack,
OrdersPool: ordersPool,
depth: depth,
children: children,
log: log,
}
return m, nil
}
func (m *node) FindOptimum() *Knapsack {
leafNodes := m.appendLeaf(make([]*node, 0, len(m.OrdersPool)*100))
var winnerNode *node
var winnerPrice = 0.0
for _, node := range leafNodes {
price := node.Knapsack.PPSf64()
if price >= winnerPrice {
winnerNode = node
winnerPrice = price
}
}
if winnerNode == nil {
return nil
}
return winnerNode.Knapsack
}
func (m *node) appendLeaf(nodes []*node) []*node {
if len(m.children) == 0 {
return append(nodes, m)
}
for _, child := range m.children {
nodes = child.appendLeaf(nodes)
}
return nodes
}
type BranchBoundModelConfig struct {
HeightLimit int `yaml:"height_limit" default:"6"`
}
type BranchBoundModelFactory struct {
BranchBoundModelConfig
}
func (m *BranchBoundModelFactory) Config() interface{} {
return &m.BranchBoundModelConfig
}
func (*BranchBoundModelFactory) Create(orders, matchedOrders []*MarketOrder, log *zap.SugaredLogger) OptimizationMethod {
return &BranchBoundModel{
Log: log.With("model", "BBM"),
}
}
type BranchBoundModel struct {
Log *zap.SugaredLogger
}
func (m *BranchBoundModel) Optimize(ctx context.Context, knapsack *Knapsack, orders []*MarketOrder) error {
ordersPool := map[string]*MarketOrder{}
for _, order := range orders {
id := order.GetOrder().GetId().Unwrap().String()
ordersPool[id] = order
}
root, err := newNode(ctx, knapsack, ordersPool, 0, m.Log)
if err != nil {
return err
}
if root == nil {
return fmt.Errorf("failed to construct decision tree")
}
m.Log.Infof("successfully build branch bound model")
winner := root.FindOptimum()
if winner == nil {
return fmt.Errorf("failed to found optimum branch")
}
m.Log.Infof("successfully found optimum branch")
*knapsack = *winner
return nil
}