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d07f3caa SW |
1 | /* Planeteer: Give trade route advice for Planets: The Exploration of Space |
2 | * Copyright (C) 2011 Scott Worley <sworley@chkno.net> | |
3 | * | |
4 | * This program is free software: you can redistribute it and/or modify | |
5 | * it under the terms of the GNU Affero General Public License as | |
6 | * published by the Free Software Foundation, either version 3 of the | |
7 | * License, or (at your option) any later version. | |
8 | * | |
9 | * This program is distributed in the hope that it will be useful, | |
10 | * but WITHOUT ANY WARRANTY; without even the implied warranty of | |
11 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the | |
12 | * GNU Affero General Public License for more details. | |
13 | * | |
14 | * You should have received a copy of the GNU Affero General Public License | |
15 | * along with this program. If not, see <http://www.gnu.org/licenses/>. | |
16 | */ | |
17 | ||
18 | package main | |
19 | ||
20 | import "flag" | |
c45c1bca | 21 | import "fmt" |
d07f3caa SW |
22 | import "json" |
23 | import "os" | |
c45c1bca SW |
24 | import "strings" |
25 | ||
26 | var start = flag.String("start", "", | |
27 | "The planet to start at") | |
d07f3caa | 28 | |
c45c1bca SW |
29 | var end = flag.String("end", "", |
30 | "A comma-separated list of planets to end at") | |
31 | ||
32 | var planet_data_file = flag.String("planet_data_file", "planet-data", | |
d07f3caa SW |
33 | "The file to read planet data from") |
34 | ||
c45c1bca SW |
35 | var fuel = flag.Int("fuel", 16, |
36 | "Reactor units; How many non-Eden jumps we can make " + | |
37 | "(but remember that deviating from the flight plan " + | |
38 | "costs two units of fuel per jump)") | |
39 | ||
40 | var start_edens = flag.Int("start_edens", 0, | |
41 | "How many Eden Warp Units are you starting with?") | |
42 | ||
43 | var end_edens = flag.Int("end_edens", 0, | |
44 | "How many Eden Warp Units would you like to keep (not use)?") | |
45 | ||
46 | var cloak = flag.Bool("cloak", false, | |
47 | "Make sure to end with a Device of Cloaking") | |
48 | ||
49 | var drones = flag.Int("drones", 0, | |
50 | "Buy this many Fighter Drones") | |
51 | ||
52 | var batteries = flag.Int("batteries", 0, | |
53 | "Buy this many Shield Batterys") | |
54 | ||
55 | var visit_string = flag.String("visit", "", | |
56 | "A comma-separated list of planets to make sure to visit") | |
57 | ||
58 | func visit() []string { | |
59 | return strings.Split(*visit_string, ",") | |
60 | } | |
61 | ||
9b3b3d9a | 62 | type Commodity struct { |
9b3b3d9a SW |
63 | BasePrice int |
64 | CanSell bool | |
65 | Limit int | |
66 | } | |
12bc2cd7 | 67 | type Planet struct { |
12bc2cd7 SW |
68 | BeaconOn bool |
69 | /* Use relative prices rather than absolute prices because you | |
70 | can get relative prices without traveling to each planet. */ | |
71 | RelativePrices map [string] int | |
72 | } | |
d07f3caa | 73 | type planet_data struct { |
5f1a50e1 | 74 | Commodities map [string] Commodity |
c45c1bca SW |
75 | Planets map [string] Planet |
76 | pi, ci map [string] int // Generated; not read from file | |
d07f3caa SW |
77 | } |
78 | ||
79 | func ReadData() (data planet_data) { | |
c45c1bca | 80 | f, err := os.Open(*planet_data_file) |
d07f3caa SW |
81 | if err != nil { |
82 | panic(err) | |
83 | } | |
84 | defer f.Close() | |
85 | err = json.NewDecoder(f).Decode(&data) | |
86 | if err != nil { | |
87 | panic(err) | |
88 | } | |
89 | return | |
90 | } | |
91 | ||
c45c1bca SW |
92 | /* This program operates by filling in a state table representing the best |
93 | * possible trips you could make; the ones that makes you the most money. | |
94 | * This is feasible because we don't look at all the possible trips. | |
95 | * We define a list of things that are germane to this game and then only | |
96 | * consider the best outcome in each possible game state. | |
97 | * | |
98 | * Each cell in the table represents a state in the game. In each cell, | |
99 | * we track two things: 1. the most money you could possibly have while in | |
100 | * that state and 2. one possible way to get into that state with that | |
101 | * amount of money. | |
102 | * | |
103 | * A basic analysis can be done with a two-dimensional table: location and | |
104 | * fuel. planeteer-1.0 used this two-dimensional table. This version | |
105 | * adds features mostly by adding dimensions to this table. | |
106 | * | |
107 | * Note that the sizes of each dimension are data driven. Many dimensions | |
108 | * collapse to one possible value (ie, disappear) if the corresponding | |
109 | * feature is not enabled. | |
110 | */ | |
111 | ||
112 | // The official list of dimensions: | |
113 | const ( | |
114 | // Name Num Size Description | |
115 | Edens = iota // 1 3 # of Eden warp units (0 - 2 typically) | |
116 | Cloaks // 2 2 # of Devices of Cloaking (0 or 1) | |
117 | UnusedCargo // 3 4 # of unused cargo spaces (0 - 3 typically) | |
118 | Fuel // 4 17 Reactor power left (0 - 16) | |
119 | Location // 5 26 Location (which planet) | |
120 | Hold // 6 15 Cargo bay contents (a *Commodity or nil) | |
121 | NeedFighters // 7 2 Errand: Buy fighter drones (needed or not) | |
122 | NeedShields // 8 2 Errand: Buy shield batteries (needed or not) | |
123 | Visit // 9 2**N Visit: Stop by these N planets in the route | |
124 | ||
125 | NumDimensions | |
126 | ) | |
127 | ||
128 | func bint(b bool) int { | |
129 | if b { return 1 } | |
130 | return 0 | |
131 | } | |
132 | ||
133 | func DimensionSizes(data planet_data) []int { | |
134 | eden_capacity := data.Commodities["Eden Warp Units"].Limit | |
135 | cloak_capacity := bint(*cloak) | |
136 | dims := []int{ | |
137 | eden_capacity + 1, | |
138 | cloak_capacity + 1, | |
139 | eden_capacity + cloak_capacity + 1, | |
140 | *fuel + 1, | |
141 | len(data.Planets), | |
142 | len(data.Commodities), | |
143 | bint(*drones > 0) + 1, | |
144 | bint(*batteries > 0) + 1, | |
145 | 1 << uint(len(visit())), | |
146 | } | |
147 | if len(dims) != NumDimensions { | |
148 | panic("Dimensionality mismatch") | |
149 | } | |
150 | return dims | |
151 | } | |
152 | ||
153 | func StateTableSize(dims []int) int { | |
154 | sum := 0 | |
155 | for _, size := range dims { | |
156 | sum += size | |
157 | } | |
158 | return sum | |
159 | } | |
160 | ||
161 | type State struct { | |
162 | funds, from int | |
163 | } | |
164 | ||
165 | func NewStateTable(dims []int) []State { | |
166 | return make([]State, StateTableSize(dims)) | |
167 | } | |
168 | ||
169 | func EncodeIndex(dims, addr []int) int { | |
170 | index := addr[0] | |
171 | for i := 1; i < len(dims); i++ { | |
172 | index = index * dims[i] + addr[i] | |
173 | } | |
174 | return index | |
175 | } | |
176 | ||
177 | func DecodeIndex(dims []int, index int) []int { | |
178 | addr := make([]int, len(dims)) | |
179 | for i := len(dims) - 1; i > 0; i-- { | |
180 | addr[i] = index % dims[i] | |
181 | index /= dims[i] | |
182 | } | |
183 | addr[0] = index | |
184 | return addr | |
185 | } | |
186 | ||
5f1a50e1 SW |
187 | /* What is the value of hauling 'commodity' from 'from' to 'to'? |
188 | * Take into account the available funds and the available cargo space. */ | |
189 | func TradeValue(data planet_data, | |
c45c1bca | 190 | from, to Planet, |
5f1a50e1 SW |
191 | commodity string, |
192 | initial_funds, max_quantity int) int { | |
193 | if !data.Commodities[commodity].CanSell { | |
5a1593ab SW |
194 | return 0 |
195 | } | |
5f1a50e1 | 196 | from_relative_price, from_available := from.RelativePrices[commodity] |
5a1593ab SW |
197 | if !from_available { |
198 | return 0 | |
199 | } | |
5f1a50e1 | 200 | to_relative_price, to_available := to.RelativePrices[commodity] |
5a1593ab SW |
201 | if !to_available { |
202 | return 0 | |
203 | } | |
204 | ||
5f1a50e1 SW |
205 | base_price := data.Commodities[commodity].BasePrice |
206 | from_absolute_price := from_relative_price * base_price | |
207 | to_absolute_price := to_relative_price * base_price | |
5a1593ab SW |
208 | buy_price := from_absolute_price |
209 | sell_price := int(float64(to_absolute_price) * 0.9) | |
5f1a50e1 SW |
210 | var can_afford int = initial_funds / buy_price |
211 | quantity := can_afford | |
212 | if quantity > max_quantity { | |
213 | quantity = max_quantity | |
214 | } | |
215 | return (sell_price - buy_price) * max_quantity | |
5a1593ab SW |
216 | } |
217 | ||
5f1a50e1 | 218 | func FindBestTrades(data planet_data) [][]string { |
c45c1bca | 219 | // TODO: We can't cache this because this can change based on available funds. |
5f1a50e1 | 220 | best := make([][]string, len(data.Planets)) |
c45c1bca SW |
221 | for from := range data.Planets { |
222 | best[data.pi[from]] = make([]string, len(data.Planets)) | |
223 | for to := range data.Planets { | |
5a1593ab | 224 | best_gain := 0 |
c45c1bca SW |
225 | price_list := data.Planets[from].RelativePrices |
226 | if len(data.Planets[to].RelativePrices) < len(data.Planets[from].RelativePrices) { | |
227 | price_list = data.Planets[to].RelativePrices | |
5f1a50e1 SW |
228 | } |
229 | for commodity := range price_list { | |
230 | gain := TradeValue(data, | |
c45c1bca SW |
231 | data.Planets[from], |
232 | data.Planets[to], | |
5f1a50e1 SW |
233 | commodity, |
234 | 10000000, | |
12bc2cd7 | 235 | 1) |
5a1593ab | 236 | if gain > best_gain { |
c45c1bca | 237 | best[data.pi[from]][data.pi[to]] = commodity |
5a1593ab SW |
238 | gain = best_gain |
239 | } | |
240 | } | |
241 | } | |
242 | } | |
243 | return best | |
244 | } | |
245 | ||
c45c1bca SW |
246 | // (Example of a use case for generics in Go) |
247 | func IndexPlanets(m *map [string] Planet) map [string] int { | |
248 | index := make(map [string] int, len(*m)) | |
249 | i := 0 | |
250 | for e := range *m { | |
251 | index[e] = i | |
252 | i++ | |
253 | } | |
254 | return index | |
255 | } | |
256 | func IndexCommodities(m *map [string] Commodity) map [string] int { | |
257 | index := make(map [string] int, len(*m)) | |
258 | i := 0 | |
259 | for e := range *m { | |
260 | index[e] = i | |
261 | i++ | |
262 | } | |
263 | return index | |
264 | } | |
265 | ||
d07f3caa SW |
266 | func main() { |
267 | flag.Parse() | |
268 | data := ReadData() | |
c45c1bca SW |
269 | data.pi = IndexPlanets(&data.Planets) |
270 | data.ci = IndexCommodities(&data.Commodities) | |
271 | dims := DimensionSizes(data) | |
272 | table := NewStateTable(dims) | |
273 | table[0] = State{ 1, 1 } | |
5a1593ab | 274 | best_trades := FindBestTrades(data) |
c45c1bca SW |
275 | |
276 | for from := range data.Planets { | |
277 | for to := range data.Planets { | |
5a1593ab | 278 | best_trade := "(nothing)" |
c45c1bca SW |
279 | if best_trades[data.pi[from]][data.pi[to]] != "" { |
280 | best_trade = best_trades[data.pi[from]][data.pi[to]] | |
5a1593ab | 281 | } |
c45c1bca | 282 | fmt.Printf("%s to %s: %s\n", from, to, best_trade) |
5a1593ab SW |
283 | } |
284 | } | |
d07f3caa | 285 | } |