Files
loop/src/Dodge/Path.hs
T

147 lines
5.9 KiB
Haskell

--{-# LANGUAGE TupleSections #-}
module Dodge.Path
( pointTowardsImpulse
, makePathBetween
, makePathBetweenPs
-- , removePathsCrossing
, obstructPathsCrossing
, pairsToGraph
, getNodePos
, walkableNodeNear
) where
import Dodge.Data
import Dodge.Base.Collide
import Dodge.Zone
import Geometry.Data
import Geometry
import Control.Lens
import Data.Maybe
import Data.List
--import qualified Data.IntMap.Strict as IM
import Data.Graph.Inductive hiding ((&))
import qualified Data.Set as Set
import qualified Data.Map.Strict as M
import Data.Map.Strict (Map)
import StreamingHelp
import qualified Streaming.Prelude as S
--import Data.Graph.Inductive.PatriciaTree
--import Data.Graph.Inductive.Graph hiding ((&))
getNodePos :: Int -> World -> Maybe Point2
getNodePos i w = _pathGraph w `lab` i
makePathBetween :: Point2 -> Point2 -> World -> Maybe [Int]
makePathBetween a b w = do -- join $ sp <$> a' <*> b' <*> return (_pathGraph w)
na <- walkableNodeNear w a
nb <- walkableNodeNear w b
sp na nb (second _peDist (_pathGraph w))
where
--nodesNear p = concat $ lookLookups (zoneNearPointIP p) (_pathPoints w)
-- nodesNear p = runIdentity . S.toList_ $ nearPoint _pnZoning p w
-- walkableNodeNear p = fmap fst . find (flip (isWalkable p) w . snd) $ nodesNear p
walkableNodeNear :: World -> Point2 -> Maybe Int
{-# INLINE walkableNodeNear #-}
walkableNodeNear w p = fmap fst . find (flip (isWalkable p) w . snd) $ nodesNear
where
--nodesNear = runIdentity . S.toList_ $ nearPoint _pnZoning p w
nodesNear = runIdentity . S.toList_ $ aroundPoint _pnZoning p w
makePathBetweenPs :: Point2 -> Point2 -> World -> Maybe [Point2]
makePathBetweenPs a b w = mapMaybe (lab $ _pathGraph w) <$> makePathBetween a b w
pointTowardsImpulse :: Point2 -> Point2 -> World -> Maybe Point2
pointTowardsImpulse a b w = find (flip (isWalkable a) w) =<< makePathBetweenPs a b w
------ continues a walk from a list of points, without repetitions
------ supposes that the list is non-empty
--randomGraphWalk :: RandomGen g => [Int] -> Gr a b -> State g [Int]
--randomGraphWalk (n:ns) g = do
-- next' <- randomGraphStepRestricted n ns g
-- case next' of
-- Nothing -> return (n:ns)
-- Just n' -> randomGraphWalk (n':n:ns) g
--randomGraphWalk _ _ = error "Trying to walk in an empty list"
--
--randomPointXStepsFrom :: Int -> Point2 -> World -> Point2
--randomPointXStepsFrom i p w =
-- let g = _pathGraph w
-- ns = labNodes g
-- mp = listToMaybe $ sortBy (compare `on` dist p . snd) $ filter (flip (isWalkable p) w . snd) ns
-- in case mp of
-- Nothing -> p
-- Just (n,_) -> fromJust
-- $ lab g (last $ take i $ randomGraphWalk [n] g Data.Function.& evalState $ _randGen w)
--
--randomPointsXStepsFrom :: Int -> Point2 -> World -> [Point2]
--randomPointsXStepsFrom i p w =
-- let g = _pathGraph w
-- ns = labNodes g
-- mp = listToMaybe $ sortBy (compare `on` dist p . snd) $ filter (flip (isWalkable p) w . snd) ns
-- in case mp of
-- Nothing -> [p]
-- Just (n,_) -> mapMaybe (lab g) (take i $ randomGraphWalk [n] g Data.Function.& evalState $ _randGen w)
--
--randomGraphStep :: RandomGen g => Int -> Gr a b -> State g (Maybe Int)
--randomGraphStep n g =
-- do let ns = neighbors g n
-- i <- state $ randomR (0,length ns - 1)
-- case ns of [] -> return Nothing
-- _ -> return $ Just $ ns !! i
--randomGraphStepRestricted :: RandomGen g => Int -> [Int] -> Gr a b -> State g (Maybe Int)
--randomGraphStepRestricted n notns g = do
-- let ns = neighbors g n \\ notns
-- i <- state $ randomR (0,length ns - 1)
-- case ns of
-- [] -> return Nothing
-- _ -> return $ Just $ ns !! i
--
pairsToGraph :: Set.Set (Point2,Point2) -> (Map (V2 Point2) (Int,Int,PathEdge),Gr Point2 PathEdge)
pairsToGraph pairs = addEdges nodemap gr $ S.each pairs
where
(nodemap,_,gr) = addNodes $ S.map fst (S.each pairs) <> S.map snd (S.each pairs)
-- let nodes' = Set.map fst pairs `Set.union` Set.map snd pairs
-- pairs' = Set.map (\(x,y)->(x,y,f x y)) pairs
-- in undir $ run_ Data.Graph.Inductive.empty $ insMapNodesM (Set.toList nodes') >> insMapEdgesM (Set.toList pairs')
addNodes :: StreamOf Point2 -> (Map Point2 Int,Int,Gr Point2 PathEdge)
addNodes = runIdentity . S.fold_ f (mempty,0,Data.Graph.Inductive.empty) id
where
f (nodemap,i,gr) p = case nodemap M.!? p of
Just _ -> (nodemap,i,gr)
Nothing -> (nodemap & at p ?~i ,i+1, insNode (i,p) gr)
addEdges :: Map Point2 Int -> Gr Point2 PathEdge -> StreamOf (Point2,Point2)
-> (Map (V2 Point2) (Int,Int,PathEdge) , Gr Point2 PathEdge)
addEdges nodemap gr = runIdentity . S.fold_ f (mempty,gr) id
where
f (edgemap,gr') (a,b) = (M.insert (V2 a b) theedge edgemap
, insEdge theedge gr'
)
where
theedge = (g a,g b,PathEdge a b (dist a b) mempty)
g a = nodemap M.! a
obstructPathsCrossing :: Point2 -> Point2 -> World -> ( World, [(Int,Int,PathEdge)])
obstructPathsCrossing sp ep w =
( w & pathGraph %~ updateedges
, runIdentity $ S.toList_ edges
)
where
edges = S.filter edgecrosses $ nearSeg _peZoning sp ep w
edgecrosses (_,_,pe) = isJust $ intersectSegSeg sp ep (_peStart pe) (_peEnd pe)
updateedges gr = runIdentity $ S.fold_ updateedge gr id edges
updateedge gr (x,y,pe)
= insEdge (x,y,pe & peObstacles . at BlockObstacle .~ Just ()) $ delEdge (x,y) gr
removePathsCrossing :: Point2 -> Point2 -> World -> World
removePathsCrossing a b w = w
-- & pathGraph .~ newGraph
-- & pathGraphP .~ pg'
-- & phZoning %~ \zn -> foldl' (flip $ updateZoning (:)) (zn & znObjects .~ mempty)
-- (labNodes newGraph)
-- where
-- pg' = Set.filter (isNothing . uncurry (intersectSegSeg a b)) $ _pathGraphP w
-- -- insertPoint pp@(_,p) = insertInZoneWith (wlZoneOfPoint p) (++) [pp]
-- newGraph = pairsToGraph pg'