2023-06-13 07:27:13 +00:00
|
|
|
from nullptr.models.marketplace import Marketplace
|
2023-06-13 14:33:22 +00:00
|
|
|
from nullptr.models.jumpgate import Jumpgate
|
|
|
|
from nullptr.models.system import System
|
2023-06-21 07:32:31 +00:00
|
|
|
from nullptr.models.waypoint import Waypoint
|
2023-06-14 13:37:48 +00:00
|
|
|
from dataclasses import dataclass
|
2024-01-06 06:17:53 +00:00
|
|
|
from copy import copy
|
2023-06-13 07:27:13 +00:00
|
|
|
|
2024-01-06 06:17:53 +00:00
|
|
|
class AnalyzerException(Exception):
|
|
|
|
pass
|
|
|
|
|
|
|
|
@dataclass
|
|
|
|
class Point:
|
|
|
|
x: int
|
|
|
|
y: int
|
|
|
|
|
2024-01-04 20:34:31 +00:00
|
|
|
@dataclass
|
|
|
|
class TradeOption:
|
|
|
|
resource: str
|
|
|
|
source: Waypoint
|
|
|
|
dest: Waypoint
|
|
|
|
margin: int
|
|
|
|
dist: int
|
|
|
|
score: float
|
|
|
|
|
2023-06-14 13:37:48 +00:00
|
|
|
@dataclass
|
|
|
|
class SearchNode:
|
|
|
|
system: System
|
|
|
|
parent: 'SearchNode'
|
|
|
|
|
|
|
|
def __hash__(self):
|
|
|
|
return hash(self.system.symbol)
|
|
|
|
|
|
|
|
def path(self):
|
|
|
|
result = []
|
|
|
|
n = self
|
|
|
|
while n is not None:
|
|
|
|
result.append(n.system)
|
|
|
|
n = n.parent
|
|
|
|
result.reverse()
|
|
|
|
return result
|
|
|
|
|
|
|
|
def __repr__(self):
|
|
|
|
return self.system.symbol
|
|
|
|
|
2023-06-13 07:27:13 +00:00
|
|
|
class Analyzer:
|
|
|
|
def __init__(self, store):
|
|
|
|
self.store = store
|
|
|
|
|
2023-06-14 14:55:45 +00:00
|
|
|
def find_markets(self, resource, sellbuy):
|
2023-06-13 07:27:13 +00:00
|
|
|
for m in self.store.all(Marketplace):
|
2023-06-23 11:32:08 +00:00
|
|
|
if 'sell' in sellbuy and resource in m.imports:
|
|
|
|
yield ('sell', m)
|
|
|
|
|
|
|
|
elif 'buy' in sellbuy and resource in m.exports:
|
|
|
|
yield ('buy', m)
|
|
|
|
|
|
|
|
elif 'exchange' in sellbuy and resource in m.exchange:
|
|
|
|
yield ('exchange', m)
|
|
|
|
|
|
|
|
def find_closest_markets(self, resource, sellbuy, location):
|
2023-06-20 20:18:20 +00:00
|
|
|
if type(location) == str:
|
2023-06-21 07:32:31 +00:00
|
|
|
location = self.store.get(Waypoint, location)
|
|
|
|
mkts = self.find_markets(resource, sellbuy)
|
2023-06-23 11:32:08 +00:00
|
|
|
candidates = []
|
2023-07-11 15:48:51 +00:00
|
|
|
origin = location.system
|
2023-06-23 11:32:08 +00:00
|
|
|
for typ, m in mkts:
|
2023-07-11 15:48:51 +00:00
|
|
|
system = m.waypoint.system
|
2023-06-23 11:49:09 +00:00
|
|
|
d = origin.distance(system)
|
|
|
|
candidates.append((typ, m, d))
|
|
|
|
possibles = sorted(candidates, key=lambda m: m[2])
|
|
|
|
possibles = possibles[:10]
|
|
|
|
results = []
|
2023-12-28 18:49:00 +00:00
|
|
|
print(len(possibles))
|
2023-06-23 11:49:09 +00:00
|
|
|
for typ,m,d in possibles:
|
2023-07-11 15:48:51 +00:00
|
|
|
system = m.waypoint.system
|
2023-06-21 07:32:31 +00:00
|
|
|
p = self.find_path(origin, system)
|
2023-06-20 19:46:05 +00:00
|
|
|
if p is None: continue
|
2023-06-23 11:49:09 +00:00
|
|
|
results.append((typ,m,d,len(p)))
|
|
|
|
return results
|
|
|
|
|
2023-06-25 15:35:06 +00:00
|
|
|
def solve_tsp(self, waypoints):
|
2024-01-06 06:17:53 +00:00
|
|
|
wps = copy(waypoints)
|
|
|
|
path = []
|
|
|
|
cur = Point(0,0)
|
|
|
|
while len(wps) > 0:
|
|
|
|
closest = wps[0]
|
|
|
|
for w in wps:
|
|
|
|
if w.distance(cur) < closest.distance(cur):
|
|
|
|
closest = w
|
|
|
|
cur = closest
|
|
|
|
path.append(closest)
|
|
|
|
wps.remove(closest)
|
|
|
|
return path
|
2023-06-13 20:29:04 +00:00
|
|
|
|
|
|
|
def get_jumpgate(self, system):
|
|
|
|
gates = self.store.all_members(system, Jumpgate)
|
|
|
|
return next(gates, None)
|
2024-01-06 06:17:53 +00:00
|
|
|
|
|
|
|
# dijkstra shmijkstra
|
|
|
|
def find_nav_path(self, orig, to, ran):
|
|
|
|
path = []
|
|
|
|
mkts = [m.waypoint for m in self.store.all_members(orig.system, Marketplace)]
|
|
|
|
cur = orig
|
|
|
|
|
|
|
|
while cur != to:
|
|
|
|
best = cur
|
|
|
|
bestdist = cur.distance(to)
|
|
|
|
if bestdist < ran:
|
|
|
|
path.append(to)
|
|
|
|
break
|
|
|
|
for m in mkts:
|
|
|
|
dist = m.distance(to)
|
|
|
|
if dist < bestdist and cur.distance(m) < ran:
|
|
|
|
best = m
|
|
|
|
bestdist = dist
|
|
|
|
if best == cur:
|
|
|
|
raise AnalyzerException(f'no path to {to}')
|
|
|
|
cur = best
|
|
|
|
path.append(cur)
|
|
|
|
return path
|
|
|
|
|
|
|
|
def find_jump_path(self, orig, to, depth=100, seen=None):
|
2023-06-14 13:37:48 +00:00
|
|
|
if depth < 1: return None
|
2023-06-14 19:26:46 +00:00
|
|
|
if seen is None:
|
|
|
|
seen = set()
|
2023-06-14 13:37:48 +00:00
|
|
|
if type(orig) == System:
|
|
|
|
orig = set([SearchNode(orig,None)])
|
2024-01-06 06:17:53 +00:00
|
|
|
result = [n for n in orig if n==to]
|
2023-06-14 13:37:48 +00:00
|
|
|
if len(result) > 0:
|
|
|
|
return result[0].path()
|
|
|
|
dest = set()
|
|
|
|
for o in orig:
|
2024-01-06 06:17:53 +00:00
|
|
|
jg = self.get_jumpgate(o)
|
2023-06-14 13:37:48 +00:00
|
|
|
if jg is None: continue
|
2024-01-06 06:17:53 +00:00
|
|
|
for s in jg.connections:
|
2023-06-14 19:26:46 +00:00
|
|
|
if s in seen: continue
|
2023-06-14 13:54:32 +00:00
|
|
|
seen.add(s)
|
2023-07-12 20:26:25 +00:00
|
|
|
dest.add(SearchNode(s, o))
|
2023-06-14 19:20:47 +00:00
|
|
|
if len(dest) == 0:
|
|
|
|
return None
|
2023-06-14 19:26:46 +00:00
|
|
|
return self.find_path(dest, to, depth-1, seen)
|
2024-01-04 20:34:31 +00:00
|
|
|
|
|
|
|
def prices(self, system):
|
|
|
|
prices = {}
|
|
|
|
for m in self.store.all_members(system, Marketplace):
|
|
|
|
for p in m.prices.values():
|
|
|
|
r = p['symbol']
|
|
|
|
if not r in prices:
|
|
|
|
prices[r] = []
|
|
|
|
prices[r].append({
|
|
|
|
'wp': m.waypoint,
|
|
|
|
'buy': p['buy'],
|
|
|
|
'sell': p['sell']
|
|
|
|
})
|
|
|
|
return prices
|
|
|
|
|
|
|
|
def find_trade(self, system):
|
|
|
|
prices = self.prices(system)
|
|
|
|
best = None
|
|
|
|
for resource, markets in prices.items():
|
|
|
|
source = sorted(markets, key=lambda x: x['buy'])[0]
|
|
|
|
dest = sorted(markets, key=lambda x: x['sell'])[-1]
|
|
|
|
margin = dest['sell'] -source['buy']
|
|
|
|
if margin < 0:
|
|
|
|
continue
|
|
|
|
dist = source['wp'].distance(dest['wp'])
|
|
|
|
dist = max(dist, 0.0001)
|
|
|
|
score = margin / dist
|
|
|
|
o = TradeOption(resource, source['wp'], dest['wp'], margin, dist, score)
|
|
|
|
if best is None or best.score < o.score:
|
|
|
|
best = o
|
|
|
|
return best
|
2024-01-06 06:17:53 +00:00
|
|
|
|
|
|
|
def market_scan(self, system):
|
|
|
|
m = [w.waypoint for w in self.store.all_members(system, Marketplace) if not w.is_fuel()]
|
|
|
|
ms = len(m)
|
|
|
|
path = self.solve_tsp(m)
|
|
|
|
cur = Point(0,0)
|
|
|
|
for w in path:
|
|
|
|
print(w, w.distance(cur))
|
|
|
|
cur = w
|
|
|
|
far = self.store.get(Waypoint, 'X1-NN7-B7')
|
|
|
|
for w in path:
|
|
|
|
print(w, w.distance(far))
|
|
|
|
|