[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

Author: pre-commit-ci[bot]

guidance/guidance_los/guidance_los/los_guidance_algorithm.py

@@ -32,7 +32,7 @@ def __sub__(self, other: "State") -> "State":
 
     def as_los_array(self):
         return np.array([self.surge_vel, self.pitch, self.yaw])
-    
+
     def as_pos_array(self):
         return np.array([self.x, self.y, self.z])
 
@@ -179,19 +179,27 @@ def compute_pitch_command(
             self.los_params.max_pitch_angle,
         )
 
-    def compute_desired_speed(self, yaw_error: float, distance_to_target: float, crosstrack_y: float) -> float:
-        """
-        Compute speed command with yaw error, distance and crosstrack-based scaling.
-        
+    def compute_desired_speed(
+        self, yaw_error: float, distance_to_target: float, crosstrack_y: float
+    ) -> float:
+        """Compute speed command with yaw error, distance and crosstrack-based scaling.
+
         Args:
             yaw_error: Error in yaw angle (radians)
             distance_to_target: Distance to target (meters)
             crosstrack_y: Cross-track error in y direction (meters)
         """
         yaw_factor = np.cos(yaw_error)
-        distance_factor = min(1.0, distance_to_target / self.los_params.lookahead_distance_max)
+        distance_factor = min(
+            1.0, distance_to_target / self.los_params.lookahead_distance_max
+        )
         crosstrack_factor = 1.0 / (1.0 + abs(crosstrack_y))
-        desired_speed = self.los_params.nominal_speed * yaw_factor * distance_factor * crosstrack_factor
+        desired_speed = (
+            self.los_params.nominal_speed
+            * yaw_factor
+            * distance_factor
+            * crosstrack_factor
+        )
         return max(self.los_params.min_speed, desired_speed)
 
     def apply_reference_filter(self, commands: State) -> State:
@@ -217,50 +225,77 @@ def compute_pi_h(current_waypoint: State, next_waypoint: State) -> float:
         dx = next_waypoint.x - current_waypoint.x
         dy = next_waypoint.y - current_waypoint.y
         return np.arctan2(dy, dx)
-    
+
     @staticmethod
     def compute_pi_v(current_waypoint: State, next_waypoint: State) -> float:
         dz = next_waypoint.z - current_waypoint.z
-        horizontal_distance = np.sqrt((next_waypoint.x - current_waypoint.x)**2 + (next_waypoint.y - current_waypoint.y)**2)
+        horizontal_distance = np.sqrt(
+            (next_waypoint.x - current_waypoint.x) ** 2
+            + (next_waypoint.y - current_waypoint.y) ** 2
+        )
         return np.arctan2(-dz, horizontal_distance)
-    
+
     @staticmethod
     def compute_rotation_y(pi_v: float) -> np.ndarray:
-        return np.array([
-            [np.cos(pi_v), 0, np.sin(pi_v)],
-            [0, 1, 0],
-            [-np.sin(pi_v), 0, np.cos(pi_v)]
-        ])
-    
+        return np.array(
+            [
+                [np.cos(pi_v), 0, np.sin(pi_v)],
+                [0, 1, 0],
+                [-np.sin(pi_v), 0, np.cos(pi_v)],
+            ]
+        )
+
     @staticmethod
     def compute_rotation_z(pi_h: float) -> np.ndarray:
-        return np.array([
-            [np.cos(pi_h), -np.sin(pi_h), 0],
-            [np.sin(pi_h), np.cos(pi_h), 0],
-            [0, 0, 1]
-        ])
-    
-    def compute_psi_d(self, current_waypoint: State, next_waypoint: State, crosstrack_y: float, y_int: float) -> float:
+        return np.array(
+            [
+                [np.cos(pi_h), -np.sin(pi_h), 0],
+                [np.sin(pi_h), np.cos(pi_h), 0],
+                [0, 0, 1],
+            ]
+        )
+
+    def compute_psi_d(
+        self,
+        current_waypoint: State,
+        next_waypoint: State,
+        crosstrack_y: float,
+        y_int: float,
+    ) -> float:
         pi_h = self.compute_pi_h(current_waypoint, next_waypoint)
         psi_d = pi_h - np.arctan((crosstrack_y + self.kappa) / self.lookahead_h)
         psi_d = self.ssa(psi_d)
         return psi_d
-    
-    def compute_theta_d(self, current_waypoint: State, next_waypoint: State, crosstrack_z: float, alpha_c: float) -> float:
+
+    def compute_theta_d(
+        self,
+        current_waypoint: State,
+        next_waypoint: State,
+        crosstrack_z: float,
+        alpha_c: float,
+    ) -> float:
         pi_v = self.compute_pi_v(current_waypoint, next_waypoint)
         theta_d = pi_v + np.arctan(crosstrack_z / self.lookahead_v) + alpha_c
         theta_d = self.ssa(theta_d)
         return theta_d
 
     @staticmethod
     def calculate_alpha_c(u: float, v: float, w: float, phi: float) -> float:
-        return np.arctan((v * np.sin(phi) + w * np.cos(phi)) / u) # Slide 104 in Fossen 2024
-    
+        return np.arctan(
+            (v * np.sin(phi) + w * np.cos(phi)) / u
+        )  # Slide 104 in Fossen 2024
+
     @staticmethod
-    def calculate_beta_c(u: float, v: float, w: float, phi: float, theta: float, alpha_c: float) -> float:
-        U_v = u * np.sqrt(1 + np.tan(alpha_c)**2)
-        return np.arctan((v * np.cos(phi) - w * np.sin(phi)) / (U_v * np.cos(theta - alpha_c))) # Slide 104 in Fossen 2024
+    def calculate_beta_c(
+        u: float, v: float, w: float, phi: float, theta: float, alpha_c: float
+    ) -> float:
+        U_v = u * np.sqrt(1 + np.tan(alpha_c) ** 2)
+        return np.arctan(
+            (v * np.cos(phi) - w * np.sin(phi)) / (U_v * np.cos(theta - alpha_c))
+        )  # Slide 104 in Fossen 2024
 
     def calculate_y_int_dot(self, crosstrack_y, y_int):
-        y_int_dot = (self.lookahead_h * crosstrack_y) / (self.lookahead_h**2 + (crosstrack_y + self.kappa * y_int)**2)
-        return y_int_dot
+        y_int_dot = (self.lookahead_h * crosstrack_y) / (
+            self.lookahead_h**2 + (crosstrack_y + self.kappa * y_int) ** 2
+        )
+        return y_int_dot

guidance/guidance_los/scripts/los_guidance_action_server.py

@@ -64,7 +64,6 @@ def __init__(self):
 
         self.desired_vel = 0.3
         self.y_int = 0.0
-        
 
     def declare_los_parameters_(self):
         """Declare all LOS guidance parameters."""
@@ -133,7 +132,6 @@ def _declare_topic_parameters(self):
 
     def _initialize_publishers(self):
         """Initialize all publishers."""
-
         los_commands_topic = self.get_parameter('topics.publishers.los_commands').value
         self.get_logger().info(f"Publishing LOS commands to: {los_commands_topic}")
         self.guidance_cmd_pub = self.create_publisher(
@@ -219,7 +217,10 @@ def odom_callback(self, msg: Odometry):
             self.filter_initialized = True
 
     def calculate_guidance(self) -> State:
-        error = self.state.as_pos_array() - self.waypoints[self.current_waypoint_index].as_pos_array()
+        error = (
+            self.state.as_pos_array()
+            - self.waypoints[self.current_waypoint_index].as_pos_array()
+        )
         _, crosstrack_y, crosstrack_z = self.rotation_yz @ error
         alpha_c = self.guidance_calculator.calculate_alpha_c(
             self.u, self.v, self.w, self.phi
@@ -233,8 +234,12 @@ def calculate_guidance(self) -> State:
             crosstrack_y,
             self.y_int,
         )
-        y_int_dot = self.guidance_calculator.calculate_y_int_dot(crosstrack_y, self.y_int)
-        self.y_int += y_int_dot * self.update_period  # Forward euler, may need to use Runge-Kutta 4
+        y_int_dot = self.guidance_calculator.calculate_y_int_dot(
+            crosstrack_y, self.y_int
+        )
+        self.y_int += (
+            y_int_dot * self.update_period
+        )  # Forward euler, may need to use Runge-Kutta 4
         theta_d = self.guidance_calculator.compute_theta_d(
             self.waypoints[self.current_waypoint_index],
             self.waypoints[self.current_waypoint_index + 1],
@@ -254,7 +259,6 @@ def calculate_guidance(self) -> State:
 
     def execute_callback(self, goal_handle: ServerGoalHandle):
         """Execute waypoint navigation action."""
-
         # Initialize navigation goal with lock
         with self._goal_lock:
             self.goal_handle = goal_handle
@@ -269,15 +273,24 @@ def execute_callback(self, goal_handle: ServerGoalHandle):
             )
             self.waypoints.append(point_as_state)
 
-        self.pi_h = self.guidance_calculator.compute_pi_h(self.waypoints[self.current_waypoint_index], self.waypoints[self.current_waypoint_index + 1])
-        self.pi_v = self.guidance_calculator.compute_pi_v(self.waypoints[self.current_waypoint_index], self.waypoints[self.current_waypoint_index + 1])
+        self.pi_h = self.guidance_calculator.compute_pi_h(
+            self.waypoints[self.current_waypoint_index],
+            self.waypoints[self.current_waypoint_index + 1],
+        )
+        self.pi_v = self.guidance_calculator.compute_pi_v(
+            self.waypoints[self.current_waypoint_index],
+            self.waypoints[self.current_waypoint_index + 1],
+        )
 
         rotation_y = self.guidance_calculator.compute_rotation_y(self.pi_v)
         rotation_z = self.guidance_calculator.compute_rotation_z(self.pi_h)
         self.rotation_yz = rotation_y.T @ rotation_z.T
 
         # Initialize y_int based on initial crosstrack error
-        initial_error = self.state.as_pos_array() - self.waypoints[self.current_waypoint_index].as_pos_array()
+        initial_error = (
+            self.state.as_pos_array()
+            - self.waypoints[self.current_waypoint_index].as_pos_array()
+        )
         _, initial_crosstrack_y, _ = self.rotation_yz @ initial_error
         self.y_int = -initial_crosstrack_y / self.guidance_calculator.kappa
 
@@ -286,7 +299,9 @@ def execute_callback(self, goal_handle: ServerGoalHandle):
 
         rate = self.create_rate(1.0 / self.update_period)
         waiting_at_waypoint = False
-        wait_cycles = int(1.0 / self.update_period)  # Number of cycles for 1 second wait
+        wait_cycles = int(
+            1.0 / self.update_period
+        )  # Number of cycles for 1 second wait
         wait_count = 0
 
         self.get_logger().info('Executing goal')
@@ -314,39 +329,53 @@ def execute_callback(self, goal_handle: ServerGoalHandle):
                 if not waiting_at_waypoint:
                     self.get_logger().info('Waypoint reached')
                     waiting_at_waypoint = True
-                    stop_state = State(surge_vel=0.0, pitch=self.state.pitch, yaw=self.state.yaw)
+                    stop_state = State(
+                        surge_vel=0.0, pitch=self.state.pitch, yaw=self.state.yaw
+                    )
                     self.guidance_calculator.reset_filter_state(stop_state)
 
                 if wait_count < wait_cycles:
-                    self.publish_guidance(State(surge_vel=0.0, pitch=self.state.pitch, yaw=self.state.yaw))
+                    self.publish_guidance(
+                        State(surge_vel=0.0, pitch=self.state.pitch, yaw=self.state.yaw)
+                    )
                     wait_count += 1
                 else:
                     self.current_waypoint_index += 1
                     # Reset integral term for new waypoint
-                    initial_error = self.state.as_pos_array() - self.waypoints[self.current_waypoint_index].as_pos_array()
+                    initial_error = (
+                        self.state.as_pos_array()
+                        - self.waypoints[self.current_waypoint_index].as_pos_array()
+                    )
                     _, initial_crosstrack_y, _ = self.rotation_yz @ initial_error
                     self.y_int = -initial_crosstrack_y / self.guidance_calculator.kappa
                     waiting_at_waypoint = False
                     wait_count = 0
-                    
+
                     # Reset filter with stop state
                     # self.guidance_calculator.reset_filter_state(stop_state)
-                    
+
                     # # Publish stop command and wait briefly
                     # self.publish_guidance(stop_state)
                     # time.sleep(2.0)  # Wait for 2 seconds to stabilize
-                    
 
                     if self.current_waypoint_index >= len(self.waypoints) - 1:
                         self.get_logger().info('All waypoints reached!')
-                        final_commands = State(surge_vel=0.0, pitch=self.state.pitch, yaw=self.state.yaw)
+                        final_commands = State(
+                            surge_vel=0.0, pitch=self.state.pitch, yaw=self.state.yaw
+                        )
                         self.publish_guidance(final_commands)
                         result.success = True
                         self.goal_handle.succeed()
                         return result
-                    
-                self.pi_h = self.guidance_calculator.compute_pi_h(self.waypoints[self.current_waypoint_index], self.waypoints[self.current_waypoint_index + 1])
-                self.pi_v = self.guidance_calculator.compute_pi_v(self.waypoints[self.current_waypoint_index], self.waypoints[self.current_waypoint_index + 1])
+
+                self.pi_h = self.guidance_calculator.compute_pi_h(
+                    self.waypoints[self.current_waypoint_index],
+                    self.waypoints[self.current_waypoint_index + 1],
+                )
+                self.pi_v = self.guidance_calculator.compute_pi_v(
+                    self.waypoints[self.current_waypoint_index],
+                    self.waypoints[self.current_waypoint_index + 1],
+                )
 
                 rotation_y = self.guidance_calculator.compute_rotation_y(self.pi_v)
                 rotation_z = self.guidance_calculator.compute_rotation_z(self.pi_h)
@@ -366,6 +395,7 @@ def publish_guidance(self, commands: State):
         msg.yaw = commands.yaw
         self.guidance_cmd_pub.publish(msg)
 
+
 def main(args=None):
     """Main function to initialize and run the guidance node."""
     rclpy.init(args=args)
@@ -384,4 +414,4 @@ def main(args=None):
 
 
 if __name__ == '__main__':
-    main()
+    main()