X-Git-Url: http://git.scottworley.com/planeteer/blobdiff_plain/fb8eccbfa74c0ac19f24d40cbc3b7e660eda9eeb..b3fd6106abf7f0c142ac4975599d6d8cf1aff1d8:/planeteer.go

diff --git a/planeteer.go b/planeteer.go
index e3c04cf..a8e6516 100644
--- a/planeteer.go
+++ b/planeteer.go
@@ -19,7 +19,7 @@ package main
 
 import "flag"
 import "fmt"
-import "json"
+import "encoding/json"
 import "os"
 import "runtime/pprof"
 import "strings"
@@ -43,6 +43,8 @@ var fuel = flag.Int("fuel", 16, "Hyper Jump power left")
 
 var hold = flag.Int("hold", 300, "Size of your cargo hold")
 
+var start_hold = flag.String("start_hold", "", "Start with a hold full of cargo")
+
 var start_edens = flag.Int("start_edens", 0,
 	"How many Eden Warp Units are you starting with?")
 
@@ -63,6 +65,9 @@ var battery_price = flag.Int("battery_price", 0, "Today's Shield Battery price")
 var visit_string = flag.String("visit", "",
 	"A comma-separated list of planets to make sure to visit")
 
+var tomorrow_weight = flag.Float64("tomorrow_weight", 1.0,
+	"Weight for the expected value of tomorrow's trading.  0.0 - 1.0")
+
 var cpuprofile = flag.String("cpuprofile", "", "write cpu profile to file")
 
 var visit_cache []string
@@ -111,8 +116,9 @@ type Commodity struct {
 	Limit     int
 }
 type Planet struct {
-	BeaconOn bool
-	Private  bool
+	BeaconOn      bool
+	Private       bool
+	TomorrowValue int
 	/* Use relative prices rather than absolute prices because you
 	   can get relative prices without traveling to each planet. */
 	RelativePrices map[string]int
@@ -283,7 +289,9 @@ func CreateStateTable(data planet_data, dims []int) []State {
 	addr[Fuel] = *fuel
 	addr[Edens] = *start_edens
 	addr[Location] = data.p2i[*start]
-	addr[Traded] = 1
+	if *start_hold != "" {
+		addr[Hold] = data.c2i[*start_hold]
+	}
 	start_index := EncodeIndex(dims, addr)
 	table[start_index].value = int32(*funds)
 	table[start_index].from = FROM_ROOT
@@ -520,14 +528,14 @@ func CellValue(data planet_data, dims []int, table []State, addr []int) int32 {
 
 	// UI: Progress bar
 	cell_filled_count++
-	if cell_filled_count&0xff == 0 {
+	if cell_filled_count&0xfff == 0 {
 		print(fmt.Sprintf("\r%3.1f%%", 100*float64(cell_filled_count)/float64(StateTableSize(dims))))
 	}
 
 	return table[my_index].value
 }
 
-func FindBestState(data planet_data, dims []int, table []State) int32 {
+func FinalState(dims []int) []int {
 	addr := make([]int, NumDimensions)
 	addr[Edens] = *end_edens
 	addr[Cloaks] = dims[Cloaks] - 1
@@ -537,17 +545,25 @@ func FindBestState(data planet_data, dims []int, table []State) int32 {
 	addr[Traded] = 1
 	addr[Hold] = 0
 	addr[UnusedCargo] = 0
+	// Fuel and Location are determined by FindBestState
+	return addr
+}
+
+func FindBestState(data planet_data, dims []int, table []State, addr []int) int32 {
 	max_index := int32(-1)
-	max_value := int32(0)
+	max_value := 0.0
 	max_fuel := 1
 	if *fuel == 0 {
 		max_fuel = 0
 	}
 	for addr[Fuel] = 0; addr[Fuel] <= max_fuel; addr[Fuel]++ {
 		for addr[Location] = 0; addr[Location] < dims[Location]; addr[Location]++ {
-			if len(end()) == 0 || end()[data.i2p[addr[Location]]] {
+			planet := data.i2p[addr[Location]]
+			if len(end()) == 0 || end()[planet] {
 				index := EncodeIndex(dims, addr)
-				value := CellValue(data, dims, table, addr)
+				today_value := CellValue(data, dims, table, addr)
+				tomorrow_value := *tomorrow_weight * float64(*hold+data.Planets[planet].TomorrowValue)
+				value := float64(today_value) + tomorrow_value
 				if value > max_value {
 					max_value = value
 					max_index = index
@@ -683,14 +699,47 @@ func main() {
 	data.c2i, data.i2c = IndexCommodities(&data.Commodities, 1)
 	dims := DimensionSizes(data)
 	table := CreateStateTable(data, dims)
-	best := FindBestState(data, dims, table)
+	final_state := FinalState(dims)
+	best := FindBestState(data, dims, table, final_state)
 	print("\n")
 	if best == -1 {
 		print("Cannot acheive success criteria\n")
-	} else {
-		description := DescribePath(data, dims, table, best)
-		for i := len(description) - 1; i >= 0; i-- {
-			fmt.Println(description[i])
-		}
+		return
+	}
+	description := DescribePath(data, dims, table, best)
+	for i := len(description) - 1; i >= 0; i-- {
+		fmt.Println(description[i])
+	}
+
+	// Calculate total cost of fighters and shields
+	if *drones > 0 || *batteries > 0 {
+		fmt.Println()
+	}
+	if *drones > 0 {
+		final_state[BuyFighters] = 0
+		alt_best := FindBestState(data, dims, table, final_state)
+		cost := table[alt_best].value - table[best].value
+		fmt.Println("Drones were", float64(cost)/float64(*drones), "each")
+		final_state[BuyFighters] = 1
+	}
+	if *batteries > 0 {
+		final_state[BuyShields] = 0
+		alt_best := FindBestState(data, dims, table, final_state)
+		cost := table[alt_best].value - table[best].value
+		fmt.Println("Batteries were", float64(cost)/float64(*batteries), "each")
+		final_state[BuyShields] = 1
+	}
+
+	// Use extra eden warps
+	if *end_edens > 0 {
+		fmt.Println()
+	}
+	for extra_edens := 1; extra_edens <= *end_edens; extra_edens++ {
+		final_state[Edens] = *end_edens - extra_edens
+		alt_best := FindBestState(data, dims, table, final_state)
+		extra_funds := table[alt_best].value - table[best].value
+		fmt.Println("\rUse", extra_edens, "extra edens, make an extra",
+			Commas(extra_funds), "(",
+			Commas(extra_funds/int32(extra_edens)), "per eden)")
 	}
 }