0.1.4 snapshot

setup.py

@@ -23,7 +23,7 @@
 
 setup(
     name="tesse_gym",
-    version="0.1.3",
+    version="0.1.4",
     description="TESSE OpenAI Gym python interface",
     packages=find_packages("src"),
     # tell setuptools that all packages will be under the 'src' directory

src/tesse_gym/core/continuous_control.py

@@ -29,7 +29,6 @@
 from tesse.msgs import *
 from tesse.utils import UdpListener
 
-
 # gains 1: 150, 35, 1.6, 0.27
 # gains 2: 200, 35, 1.6, 0.27
 
@@ -211,13 +210,12 @@ def transform(
         data = self.get_data()
         self.set_goal(data, translate_x, translate_z, rotate_y)
 
-        # track movement across steps to find collisions
         last_z_err, last_z_rate_err = 0, 0
         collision_count = 0
+        n_steps = 0
 
         # Apply controls until at goal point, a collision occurs, or max steps reached
-        i = 0
-        while not self.at_goal(data) and i < self.max_steps:
+        while not self.at_goal(data) and n_steps < self.max_steps:
             force_z, z_error = self.control(data)
             data = self.get_data()
 
@@ -228,6 +226,7 @@ def transform(
                 break
 
             last_z_err = z_error
+            n_steps += 1
 
         self.set_goal(data)
 
@@ -264,7 +263,7 @@ def get_data(self) -> AgentState:
         if self.last_metadata is None:
             response = self.env.request(MetadataRequest()).metadata
         else:
-            response = self.last_metadata
+            response = self.get_broadcast_metadata()
         return parse_metadata(response)
 
     def set_goal(
@@ -367,6 +366,17 @@ def control(self, data: AgentState) -> Tuple[float, float]:
         self.env.send(StepWithForce(force_z, torque_y, force_x))
         return force_z, z_error_body
 
+    def get_current_time(self) -> float:
+        """ Get current sim time. """
+        if self.last_metadata is None:
+            raise ValueError("Cannot get TESSE time, metadata is `NoneType`")
+        else:
+            return float(ET.fromstring(self.last_metadata).find("time").text)
+
+    def get_broadcast_metadata(self) -> str:
+        """ Get metadata provided by TESSE UDP broadcasts. """
+        return self.last_metadata
+
     def close(self):
         """ Called upon destruction, join UDP listener. """
         self.udp_listener.join()

src/tesse_gym/core/tesse_gym.py

@@ -35,7 +35,13 @@
 from tesse.msgs import *
 
 from .continuous_control import ContinuousController
-from .utils import NetworkConfig, get_network_config, set_all_camera_params
+from .utils import (
+    NetworkConfig,
+    TesseConnectionError,
+    get_network_config,
+    response_nonetype_check,
+    set_all_camera_params,
+)
 
 
 class TesseGym(GymEnv):
@@ -210,7 +216,7 @@ def step(self, action: int) -> Tuple[np.ndarray, float, bool, Dict[str, Any]]:
     def observe(self) -> DataResponse:
         """ Observe state. """
         cameras = [(Camera.RGB_LEFT, Compression.OFF, Channels.THREE)]
-        return self.env.request(DataRequest(metadata=True, cameras=cameras))
+        return self._data_request(DataRequest(metadata=True, cameras=cameras))
 
     def reset(
         self, scene_id: Optional[int] = None, random_seed: Optional[int] = None
@@ -338,11 +344,39 @@ def get_pose(self) -> np.ndarray:
         """
         return self.relative_pose
 
+    def _data_request(self, request_type: DataRequest, n_attempts: int = 20):
+        """ Make a data request while handling potential network limitations.
+
+        If during the request, a `TesseConnectionError` is throw, this assumes 
+        there is a spurrious bandwidth issue and re-requests `n_attempts` times.
+        If, after `n_attempts`, data cannot be recieved, a `TesseConnectionError` 
+        is thrown.
+
+        Args:
+            request_type (DataRequest): Data request type.
+            n_attempts (int): Number of times to request data from TESSE.
+                Default is 20.
+
+        Returns:
+            DataResponse: Response from TESSE.
+
+        Raises:
+            TesseConnectionError: Raised if data cannot be read from TESSE.
+        """
+        for _ in range(n_attempts):
+            try:
+                return response_nonetype_check(self.env.request(request_type))
+            except TesseConnectionError:
+                pass
+
+        raise TesseConnectionError()
+
     def _init_pose(self):
         """ Initialize agent's starting pose """
-        metadata = self.env.request(MetadataRequest()).metadata
-        position = self._get_agent_position(metadata)
-        rotation = self._get_agent_rotation(metadata)
+        metadata_response = self._data_request(MetadataRequest())
+
+        position = self._get_agent_position(metadata_response.metadata)
+        rotation = self._get_agent_rotation(metadata_response.metadata)
 
         # initialize position in in agent frame
         initial_yaw = rotation[2]

src/tesse_gym/core/utils.py

@@ -20,8 +20,14 @@
 ###################################################################################################
 
 from collections import namedtuple
+from typing import Union
 
-from tesse.msgs import Camera, SetCameraParametersRequest, SetCameraPositionRequest
+from tesse.msgs import (
+    Camera,
+    DataResponse,
+    SetCameraParametersRequest,
+    SetCameraPositionRequest,
+)
 
 NetworkConfig = namedtuple(
     "NetworkConfig",
@@ -174,3 +180,36 @@ def _adjust_camera_position(tesse_gym, camera, x=-0.05, y=0, z=0):
         z (int): z position.
     """
     tesse_gym.env.request(SetCameraPositionRequest(camera=camera, x=x, y=y, z=z))
+
+
+def response_nonetype_check(obs: Union[DataResponse, None]) -> DataResponse:
+    """ Check that data from the sim is not `NoneType`.
+
+    `obs` being `NoneType` indicates that data could
+    not be read from TESSE. Raise an exception if this
+    is the case.
+
+    Args:
+        obs (Union[DataResponse, None]): Response from the simulator.
+
+    Returns:
+        DataResponse: `obs` if `obs` is not `None`.
+
+    Raises:
+        TesseConnectionError
+    """
+    if obs is None:
+        raise TesseConnectionError()
+    return obs
+
+
+class TesseConnectionError(Exception):
+    def __init__(self):
+        """ Indicates data cannot be read from TESSE. """
+        self.message = (
+            "Cannot receive data from the simulator. "
+            "The connection is blocked or the simulator is not running. "
+        )
+
+    def __str__(self):
+        return self.message

src/tesse_gym/tasks/goseek/goseek.py

@@ -119,8 +119,7 @@ def observe(self) -> DataResponse:
         Returns:
             DataResponse: The `DataResponse` object. """
         cameras = [(Camera.RGB_LEFT, Compression.OFF, Channels.THREE)]
-        agent_data = self.env.request(DataRequest(metadata=True, cameras=cameras))
-        return agent_data
+        return self._data_request(DataRequest(metadata=True, cameras=cameras))
 
     def reset(
         self, scene_id: Optional[int] = None, random_seed: Optional[int] = None

src/tesse_gym/tasks/goseek/goseek_benchmark.py

@@ -82,7 +82,9 @@ def evaluate(self, agent: Agent) -> Dict[str, Dict[str, float]]:
             """
         results = {}
         for episode in range(len(self.scenes)):
-            print(f"Evaluation episode on episode {episode}, scene {self.scenes[episode]}")
+            print(
+                f"Evaluation episode on episode {episode}, scene {self.scenes[episode]}"
+            )
             n_found_targets = 0
             n_predictions = 0
             n_successful_predictions = 0
@@ -91,7 +93,9 @@ def evaluate(self, agent: Agent) -> Dict[str, Dict[str, float]]:
 
             self.env.n_targets = self.n_targets[episode]
             agent.reset()
-            obs = self.env.reset(scene_id=self.scenes[episode], random_seed=self.random_seeds[episode])
+            obs = self.env.reset(
+                scene_id=self.scenes[episode], random_seed=self.random_seeds[episode]
+            )
 
             for step in tqdm.tqdm(range(self.episode_length[episode])):
                 action = agent.act(obs)
@@ -106,7 +110,9 @@ def evaluate(self, agent: Agent) -> Dict[str, Dict[str, float]]:
                 if done:
                     break
 
-            precision = 1 if n_predictions == 0 else n_successful_predictions / n_predictions
+            precision = (
+                1 if n_predictions == 0 else n_successful_predictions / n_predictions
+            )
             recall = n_found_targets / self.env.n_targets
             results[str(episode)] = {
                 "found_targets": n_found_targets,

src/tesse_gym/tasks/goseek/goseek_full_perception.py

@@ -96,8 +96,7 @@ def observe(self) -> DataResponse:
             (Camera.SEGMENTATION, Compression.OFF, Channels.THREE),
             (Camera.DEPTH, Compression.OFF, Channels.THREE),
         ]
-        agent_data = self.env.request(DataRequest(metadata=True, cameras=cameras))
-        return agent_data
+        return self._data_request(DataRequest(metadata=True, cameras=cameras))
 
 
 def decode_observations(