Debugged Item Factory

environments/factory/base/base_factory.py

@@ -128,7 +128,7 @@ class BaseFactory(gym.Env):
             parsed_doors = h.one_hot_level(parsed_level, c.DOOR)
             if np.any(parsed_doors):
                 door_tiles = [floor.by_pos(pos) for pos in np.argwhere(parsed_doors == c.OCCUPIED_CELL.value)]
-                doors = Doors.from_tiles(door_tiles, self._level_shape, context=floor, is_blocking_light=True)
+                doors = Doors.from_tiles(door_tiles, self._level_shape, context=floor)
                 entities.update({c.DOORS: doors})
 
         # Actions
@@ -137,7 +137,8 @@ class BaseFactory(gym.Env):
             self._actions.register_additional_items(additional_actions)
 
         # Agents
-        agents = Agents.from_tiles(floor.empty_tiles[:self.n_agents], self._level_shape)
+        agents = Agents.from_tiles(floor.empty_tiles[:self.n_agents], self._level_shape,
+                                   individual_slices=not self.combin_agent_obs)
         entities.update({c.AGENT: agents})
 
         # All entities
@@ -152,10 +153,12 @@ class BaseFactory(gym.Env):
         return self._entities
 
     def _init_obs_cube(self):
-        arrays = self._entities.arrays
+        arrays = self._entities.observable_arrays
 
         if self.omit_agent_in_obs and self.n_agents == 1:
             del arrays[c.AGENT]
+        elif self.omit_agent_in_obs:
+            arrays[c.AGENT] = np.delete(arrays[c.AGENT], 0, axis=0)
         obs_cube_z = sum([a.shape[0] if not self[key].is_per_agent else 1 for key, a in arrays.items()])
         self._obs_cube = np.zeros((obs_cube_z, *self._level_shape), dtype=np.float32)
 
@@ -257,7 +260,7 @@ class BaseFactory(gym.Env):
             return c.NOT_VALID
 
     def _get_observations(self) -> np.ndarray:
-        state_array_dict = self._entities.arrays
+        state_array_dict = self._entities.obs_arrays
         if self.n_agents == 1:
             obs = self._build_per_agent_obs(self[c.AGENT][0], state_array_dict)
         elif self.n_agents >= 2:
@@ -268,11 +271,14 @@ class BaseFactory(gym.Env):
 
     def _build_per_agent_obs(self, agent: Agent, state_array_dict) -> np.ndarray:
         agent_pos_is_omitted = False
+        agent_omit_idx = None
         if self.omit_agent_in_obs and self.n_agents == 1:
             del state_array_dict[c.AGENT]
         elif self.omit_agent_in_obs and self.combin_agent_obs and self.n_agents > 1:
             state_array_dict[c.AGENT][0, agent.x, agent.y] -= agent.encoding
             agent_pos_is_omitted = True
+        elif self.omit_agent_in_obs and not self.combin_agent_obs and self.n_agents > 1:
+            agent_omit_idx = next((i for i, a in enumerate(self[c.AGENT]) if a == agent))
 
         running_idx, shadowing_idxs, can_be_shadowed_idxs = 0, [], []
 
@@ -283,6 +289,12 @@ class BaseFactory(gym.Env):
                     per_agent_idx = self[key].idx_by_entity(agent)
                     z = 1
                     self._obs_cube[running_idx: running_idx+z] = array[per_agent_idx]
+                else:
+                    if key == c.AGENT and agent_omit_idx is not None:
+                        z = array.shape[0] - 1
+                        for array_idx in range(array.shape[0]):
+                            self._obs_cube[running_idx: running_idx+z] = array[[x for x in range(array.shape[0])
+                                                                                if x != agent_omit_idx]]
                     else:
                         z = array.shape[0]
                         self._obs_cube[running_idx: running_idx+z] = array
@@ -345,9 +357,13 @@ class BaseFactory(gym.Env):
         else:
             pass
 
+        # Additional Observation:
         for additional_obs in self.additional_obs_build():
             obs[running_idx:running_idx+additional_obs.shape[0]] = additional_obs
             running_idx += additional_obs.shape[0]
+        for additional_per_agent_obs in self.additional_per_agent_obs_build(agent):
+            obs[running_idx:running_idx + additional_per_agent_obs.shape[0]] = additional_per_agent_obs
+            running_idx += additional_per_agent_obs.shape[0]
 
         return obs
 
@@ -522,6 +538,10 @@ class BaseFactory(gym.Env):
     def additional_obs_build(self) -> List[np.ndarray]:
         return []
 
+    @abc.abstractmethod
+    def additional_per_agent_obs_build(self, agent) -> List[np.ndarray]:
+        return []
+
     @abc.abstractmethod
     def do_additional_reset(self) -> None:
         pass

environments/factory/base/objects.py

@@ -1,3 +1,4 @@
+from collections import defaultdict
 from enum import Enum
 from typing import Union
 
@@ -9,7 +10,7 @@ import itertools
 
 class Object:
 
-    _u_idx = 0
+    _u_idx = defaultdict(lambda: 0)
 
     def __bool__(self):
         return True
@@ -40,8 +41,8 @@ class Object:
         elif self._str_ident is not None and self._enum_ident is None:
             self._name = f'{self.__class__.__name__}[{self._str_ident}]'
         elif self._str_ident is None and self._enum_ident is None:
-            self._name = f'{self.__class__.__name__}#{self._u_idx}'
+            self._name = f'{self.__class__.__name__}#{self._u_idx[self.__class__.__name__]}'
-            Object._u_idx += 1
+            Object._u_idx[self.__class__.__name__] += 1
         else:
             raise ValueError('Please use either of the idents.')
 

environments/factory/base/registers.py

@@ -4,7 +4,7 @@ from typing import List, Union, Dict
 
 import numpy as np
 
-from environments.factory.base.objects import Entity, Tile, Agent, Door, Action, Wall
+from environments.factory.base.objects import Entity, Tile, Agent, Door, Action, Wall, Object
 from environments.utility_classes import MovementProperties
 from environments import helpers as h
 from environments.helpers import Constants as c
@@ -93,9 +93,13 @@ class EntityObjectRegister(ObjectRegister, ABC):
     @classmethod
     def from_tiles(cls, tiles, *args, **kwargs):
         # objects_name = cls._accepted_objects.__name__
+        register_obj = cls(*args, **kwargs)
+        try:
+            del kwargs['individual_slices']
+        except KeyError:
+            pass
         entities = [cls._accepted_objects(tile, str_ident=i, **kwargs)
                     for i, tile in enumerate(tiles)]
-        register_obj = cls(*args)
         register_obj.register_additional_items(entities)
         return register_obj
 
@@ -139,10 +143,17 @@ class MovingEntityObjectRegister(EntityObjectRegister, ABC):
         except StopIteration:
             return None
 
+    def __delitem__(self, name):
+        idx = next(i for i, entity in enumerate(self) if entity.name == name)
+        del self._register[name]
+        if self.individual_slices:
+            self._array = np.delete(self._array, idx, axis=0)
+
     def delete_item(self, item):
-        if not isinstance(item, str):
+        self.delete_item_by_name(item.name)
-            item = item.name
+
-        del self._register[item]
+    def delete_item_by_name(self, name):
+        del self[name]
 
 
 class Entities(Register):
@@ -150,9 +161,13 @@ class Entities(Register):
     _accepted_objects = EntityObjectRegister
 
     @property
-    def arrays(self):
+    def observable_arrays(self):
         return {key: val.as_array() for key, val in self.items() if val.is_observable}
 
+    @property
+    def obs_arrays(self):
+        return {key: val.as_array() for key, val in self.items() if val.is_observable and not val.hide_from_obs_builder}
+
     @property
     def names(self):
         return list(self._register.keys())

environments/factory/factory_item.py

@@ -27,15 +27,26 @@ def inventory_slice_name(agent_i):
 
 class Item(MoveableEntity):
 
+    def __init__(self, *args, **kwargs):
+        super().__init__(*args, **kwargs)
+        self._auto_despawn = -1
+
+    @property
+    def auto_despawn(self):
+        return self._auto_despawn
+
     @property
     def can_collide(self):
         return False
 
     @property
     def encoding(self):
-        # Edit this if you want items to be drawn in the ops differntly
+        # Edit this if you want items to be drawn in the ops differently
         return 1
 
+    def set_auto_despawn(self, auto_despawn):
+        self._auto_despawn = auto_despawn
+
 
 class ItemRegister(MovingEntityObjectRegister):
 
@@ -52,6 +63,11 @@ class ItemRegister(MovingEntityObjectRegister):
         items = [Item(tile) for tile in tiles]
         self.register_additional_items(items)
 
+    def despawn_items(self, items: List[Item]):
+        items = [items] if isinstance(items, Item) else items
+        for item in items:
+            del self[item]
+
 
 class Inventory(UserList):
 
@@ -142,16 +158,18 @@ class DropOffLocation(Entity):
     def encoding(self):
         return ITEM_DROP_OFF
 
-    def __init__(self, *args, storage_size_until_full: int = 5, **kwargs):
+    def __init__(self, *args, storage_size_until_full: int = 5, auto_item_despawn_interval: int = 5, **kwargs):
         super(DropOffLocation, self).__init__(*args, **kwargs)
+        self.auto_item_despawn_interval = auto_item_despawn_interval
         self.storage = deque(maxlen=storage_size_until_full or None)
 
-    def place_item(self, item):
+    def place_item(self, item: Item):
         if self.is_full:
             raise RuntimeWarning("There is currently no way to clear the storage or make it unfull.")
             return c.NOT_VALID
         else:
             self.storage.append(item)
+            item.set_auto_despawn(self.auto_item_despawn_interval)
             return c.VALID
 
     @property
@@ -173,7 +191,7 @@ class DropOffLocations(EntityObjectRegister):
 
 class ItemProperties(NamedTuple):
     n_items:                   int  = 5     # How many items are there at the same time
-    spawn_frequency:           int  = 5     # Spawn Frequency in Steps
+    spawn_frequency:           int  = 10     # Spawn Frequency in Steps
     n_drop_off_locations:       int  = 5     # How many DropOff locations are there at the same time
     max_dropoff_storage_size:  int  = 0     # How many items are needed until the drop off is full
     max_agent_inventory_capacity:    int  = 5     # How many items are needed until the agent inventory is full
@@ -218,10 +236,10 @@ class ItemFactory(BaseFactory):
         super_entities.update({c.DROP_OFF: drop_offs, c.ITEM: item_register, c.INVENTORY: inventories})
         return super_entities
 
-    def additional_obs_build(self) -> List[np.ndarray]:
+    def additional_per_agent_obs_build(self, agent) -> List[np.ndarray]:
-        super_additional_obs_build = super().additional_obs_build()
+        additional_per_agent_obs_build = super().additional_per_agent_obs_build(agent)
-        super_additional_obs_build.append(self[c.INVENTORY].as_array())
+        additional_per_agent_obs_build.append(self[c.INVENTORY].by_entity(agent).as_array())
-        return super_additional_obs_build
+        return additional_per_agent_obs_build
 
     def do_item_action(self, agent: Agent):
         inventory = self[c.INVENTORY].by_entity(agent)
@@ -274,10 +292,18 @@ class ItemFactory(BaseFactory):
     def do_additional_step(self) -> dict:
         # noinspection PyUnresolvedReferences
         info_dict = super().do_additional_step()
+        for item in list(self[c.ITEM].values()):
+            if item.auto_despawn >= 1:
+                item.set_auto_despawn(item.auto_despawn-1)
+            elif not item.auto_despawn:
+                self[c.ITEM].delete_item(item)
+            else:
+                pass
+
         if not self._next_item_spawn:
             self.trigger_item_spawn()
         else:
-            self._next_item_spawn -= 1
+            self._next_item_spawn = max(0, self._next_item_spawn-1)
         return info_dict
 
     def calculate_additional_reward(self, agent: Agent) -> (int, dict):
@@ -309,7 +335,7 @@ class ItemFactory(BaseFactory):
 
 if __name__ == '__main__':
     import random
-    render = True
+    render = False
 
     item_props = ItemProperties()
 

main.py

@@ -46,8 +46,8 @@ def combine_runs(run_path: Union[str, PathLike]):
                                                                 value_vars=columns, var_name="Measurement",
                                                                 value_name="Score")
 
-    if df_melted['Episode'].max() > 80:
+    if df_melted['Episode'].max() > 800:
-        skip_n = round(df_melted['Episode'].max() * 0.02, 2)
+        skip_n = round(df_melted['Episode'].max() * 0.02)
         df_melted = df_melted[df_melted['Episode'] % skip_n == 0]
 
     prepare_plot(run_path / f'{run_path.name}_monitor_lineplot.png', df_melted)

reload_agent.py

@@ -16,7 +16,7 @@ model_map = dict(PPO=PPO, DQN=DQN, A2C=A2C)
 
 if __name__ == '__main__':
 
-    model_name = 'A2C_1630414444'
+    model_name = 'PPO_1631029150'
     run_id = 0
     seed=69
     out_path = Path(__file__).parent / 'debug_out'
@@ -30,7 +30,7 @@ if __name__ == '__main__':
                                                          max_local_amount=1, spawn_frequency=5, max_spawn_ratio=0.05,
                                                          dirt_smear_amount=0.5),
                           combin_agent_slices_in_obs=True, omit_agent_slice_in_obs=True)
-    with DirtFactory(**env_kwargs) as env:
+    with ItemFactory(**env_kwargs) as env:
 
         # Edit THIS:
         env.seed(seed)