multi_bb_collect.py

import argparse
import os
import time
from dataclasses import dataclass
from datetime import datetime
from typing import List, Tuple

import mujoco
import numpy as np
from tqdm import tqdm

from dataset import TrajectoryBuffer


@dataclass
class Config:
    """Configuration for the multi-ball-in-bottle environment."""

    num_balls: int = 4
    bottle_length: float = 0.10  # x dimension (m)
    bottle_width: float = 0.10  # y dimension (m)
    bottle_height: float = 0.50  # z dimension (m)
    wall_thickness: float = 0.005
    ball_radius: float = 0.01
    ball_mass: float = 0.003
    timestep: float = 0.001

    # Initialization ranges
    min_z: float = 0.4
    max_z: float = 0.5
    max_xy_speed: float = 0.30  # m/s

    # Rendering
    render_width: int = 640
    render_height: int = 480


class BottleMultiBallEnv:
    """Four free-falling balls inside an open-top square bottle."""

    def __init__(self, headless: bool = True, config: Config | None = None, seed: int = 0):
        self.config = config or Config()
        self.headless = headless
        self.rng = np.random.RandomState(seed)
        self.model = mujoco.MjModel.from_xml_string(self._build_xml())
        self.data = mujoco.MjData(self.model)
        self.viewer = None
        self.renderer = None
        self.cam_id = mujoco.mj_name2id(self.model, mujoco.mjtObj.mjOBJ_CAMERA, "bottle_cam")
        if not self.headless:
            try:
                import mujoco.viewer as mj_viewer  # type: ignore

                self.viewer = mj_viewer.launch_passive(self.model, self.data)
            except Exception:
                # Fallback to offscreen renderer; requires a valid GL context to show frames
                self.renderer = mujoco.Renderer(
                    self.model, width=self.config.render_width, height=self.config.render_height
                )

        # Cache indices for qpos/qvel blocks of each ball
        self.ball_qpos_idx = []
        self.ball_qvel_idx = []
        for i in range(1, self.config.num_balls + 1):
            name = f"ball{i}_free"
            self.ball_qpos_idx.append(
                self.model.jnt_qposadr[mujoco.mj_name2id(self.model, mujoco.mjtObj.mjOBJ_JOINT, name)]
            )
            self.ball_qvel_idx.append(
                self.model.jnt_dofadr[mujoco.mj_name2id(self.model, mujoco.mjtObj.mjOBJ_JOINT, name)]
            )

    def _build_xml(self) -> str:
        c = self.config
        half_len = c.bottle_length / 2
        half_wid = c.bottle_width / 2
        t = c.wall_thickness
        h = c.bottle_height
        ball_rad = c.ball_radius
        return f"""
        <mujoco model="multi_ball_bottle">
            <compiler angle="radian" coordinate="local"/>
            <option timestep="{c.timestep}"/>
            <default>
                <geom 
                    solref="0.01 0.10"
                    friction="1.5 0.001 0.001"
                    condim="6"
                />
            </default>
            <worldbody>
                <light name="light" pos="0 0 {h}" dir="0 0 -1"/>
                <!-- Floor -->
                <geom name="floor" type="plane" pos="0 0 0" size="1 1 0.01" rgba="0.8 0.8 0.8 1"/>
                <!-- Walls -->
                <geom name="wall_xp" type="box" pos="{half_len + t/2} 0 {h/2}" size="{t/2} {half_wid} {h/2}" rgba="0.7 0.7 0.7 1"/>
                <geom name="wall_xn" type="box" pos="-{half_len + t/2} 0 {h/2}" size="{t/2} {half_wid} {h/2}" rgba="0.7 0.7 0.7 1"/>
                <geom name="wall_yp" type="box" pos="0 {half_wid + t/2} {h/2}" size="{half_len} {t/2} {h/2}" rgba="0.7 0.7 0.7 1"/>
                <geom name="wall_yn" type="box" pos="0 -{half_wid + t/2} {h/2}" size="{half_len} {t/2} {h/2}" rgba="0.7 0.7 0.7 1"/>
                <!-- Balls (each as a root body because free joints must be root-level) -->
                {"".join([self._ball_body_xml(i, ball_rad) for i in range(1, self.config.num_balls + 1)])}
                <camera name="bottle_cam" pos="0 0 {h}" quat="0 -1 0 0" fovy="60"/>
            </worldbody>
            <asset>
                <texture type="skybox" builtin="gradient" rgb1=".4 .5 .6" rgb2="0 0 0" width="64" height="64"/>
                <material name="ball_mat" rgba="0.9 0.4 0.2 1"/>
            </asset>
            <visual>
                <map force="0.1"/>
                <quality shadowsize="2048"/>
            </visual>
        </mujoco>
        """

    def _ball_body_xml(self, idx: int, radius: float) -> str:
        return f"""
        <body name="ball{idx}" pos="0 0 0">
            <joint name="ball{idx}_free" type="free"/>
            <geom name="ball{idx}_geom" type="sphere" size="{radius}" mass="{self.config.ball_mass}" material="ball_mat" friction="1.5 0.001 0.001"/>
        </body>
        """

    def reset(self) -> Tuple[np.ndarray, bool]:
        mujoco.mj_resetData(self.model, self.data)
        positions = self._sample_initial_positions()
        velocities = self._sample_initial_velocities()

        for i in range(self.config.num_balls):
            qpos_idx = self.ball_qpos_idx[i]
            qvel_idx = self.ball_qvel_idx[i]
            pos = positions[i]
            vel = velocities[i]
            self.data.qpos[qpos_idx : qpos_idx + 3] = pos
            # quaternion wxyz = [1, 0, 0, 0]
            self.data.qpos[qpos_idx + 3 : qpos_idx + 7] = np.array([1.0, 0.0, 0.0, 0.0])
            self.data.qvel[qvel_idx : qvel_idx + 3] = vel
            self.data.qvel[qvel_idx + 3 : qvel_idx + 6] = np.zeros(3)

        mujoco.mj_forward(self.model, self.data)
        return self.get_obs()

    def _sample_initial_positions(self) -> np.ndarray:
        c = self.config
        positions = []
        margin = c.ball_radius * 2.5
        tries = 0
        while len(positions) < c.num_balls:
            x = self.rng.uniform(-c.bottle_length / 2 + margin, c.bottle_length / 2 - margin)
            y = self.rng.uniform(-c.bottle_width / 2 + margin, c.bottle_width / 2 - margin)
            z = self.rng.uniform(c.min_z, c.max_z)
            candidate = np.array([x, y, z], dtype=np.float64)
            if all(np.linalg.norm(candidate[:2] - p[:2]) > c.ball_radius * 2 for p in positions):
                positions.append(candidate)
            tries += 1
            if tries > 1000:  # fallback to avoid infinite loop
                positions.append(candidate)
        return np.stack(positions, axis=0)

    def _sample_initial_velocities(self) -> np.ndarray:
        c = self.config
        speeds = self.rng.uniform(0.0, c.max_xy_speed, size=(c.num_balls,))
        angles = self.rng.uniform(0.0, 2 * np.pi, size=(c.num_balls,))
        vx = speeds * np.cos(angles)
        vy = speeds * np.sin(angles)
        vz = np.zeros_like(vx)
        return np.stack([vx, vy, vz], axis=1)

    def step(self):
        mujoco.mj_step(self.model, self.data)
        return self.get_obs()

    def get_obs(self) -> Tuple[np.ndarray, bool]:
        # Collect positions and velocities for four balls
        pos_list: List[np.ndarray] = []
        vel_list: List[np.ndarray] = []
        for i in range(self.config.num_balls):
            qpos_idx = self.ball_qpos_idx[i]
            qvel_idx = self.ball_qvel_idx[i]
            pos_list.append(self.data.qpos[qpos_idx : qpos_idx + 3].copy())
            vel_list.append(self.data.qvel[qvel_idx : qvel_idx + 3].copy())
        positions = np.stack(pos_list, axis=0)
        velocities = np.stack(vel_list, axis=0)

        timestamp = np.array([self.data.time], dtype=np.float32)
        obs = np.concatenate([positions.reshape(-1), velocities.reshape(-1), timestamp]).astype(np.float32)

        done = self._check_done(positions)
        return obs, done

    def _check_done(self, positions: np.ndarray) -> bool:
        c = self.config
        half_len = c.bottle_length / 2
        half_wid = c.bottle_width / 2
        if np.any(positions[:, 2] < 0.0):
            return True
        if np.any(np.abs(positions[:, 0]) > half_len) or np.any(np.abs(positions[:, 1]) > half_wid):
            return True
        return False

    def render(self):
        if self.viewer is not None:
            self.viewer.sync()
            return None
        if self.renderer is not None:
            self.renderer.update_scene(self.data, camera=self.cam_id)
            return self.renderer.render()
        return None

    def close(self):
        if self.viewer is not None:
            try:
                self.viewer.close()
            except Exception:
                pass
        if self.renderer is not None:
            self.renderer.free()


def collect_multi_ball_data(
    env: BottleMultiBallEnv,
    target_trajectories: int,
    steps_per_traj: int,
    render: bool = False,
    realtime: bool = False,
) -> TrajectoryBuffer:
    record_stride = 5  # record once every 5 env steps
    buffer = TrajectoryBuffer(steps_per_traj)
    pbar = tqdm(total=target_trajectories, desc="Collecting multi-ball data")

    for _ in range(target_trajectories):
        obs, done = env.reset()
        recorded = 0
        for step_idx in range(steps_per_traj * record_stride):
            if step_idx % record_stride == 0:
                obs_np = obs[None, :]
                ext_obs_np = obs_np
                action_np = np.zeros((1, 1), dtype=np.float32)  # placeholder action
                reward_np = np.zeros((1,), dtype=np.float32)
                done_np = np.array([done], dtype=np.bool_)
                buffer.append_step(obs_np, ext_obs_np, action_np, reward_np, done_np)
                recorded += 1
                if recorded >= steps_per_traj:
                    break

            obs, done = env.step()

            if render:
                env.render()
            if realtime:
                time.sleep(env.model.opt.timestep)
            if done:
                break

        pbar.update(1)

    pbar.close()
    return buffer


def parse_args():
    parser = argparse.ArgumentParser(description="Collect multi-ball contact-rich dataset inside a bottle.")
    parser.add_argument("--trajectories", type=int, default=1024, help="Number of trajectories to collect")
    parser.add_argument("--steps_per_trajectory", type=int, default=8192, help="Steps per trajectory")
    parser.add_argument("--out_dir", type=str, default="./dataset/multi_bb/", help="Output directory")
    parser.add_argument("--seed", type=int, default=42, help="Random seed")
    parser.add_argument("--headless", action="store_true", help="Disable on-screen rendering")
    parser.add_argument("--realtime", action="store_true", help="Sleep to match real time")
    parser.add_argument("--demo", action="store_true", help="Run a short demo instead of full collection")
    parser.add_argument("--num_balls", type=int, default=2, help="Number of balls in the bottle")
    return parser.parse_args()


def main():
    args = parse_args()
    np.random.seed(args.seed)

    config = Config(num_balls=args.num_balls)
    env = BottleMultiBallEnv(headless=args.headless, config=config, seed=args.seed)

    try:
        if args.demo:
            obs, _ = env.reset()
            print(f"Initial obs shape: {obs.shape}")
            for _ in range(500):
                obs, done = env.step()
                if not args.headless:
                    env.render()
                if args.realtime:
                    time.sleep(env.model.opt.timestep)
                if done:
                    obs, _ = env.reset()
        else:
            os.makedirs(args.out_dir, exist_ok=True)
            buffer = collect_multi_ball_data(
                env=env,
                target_trajectories=args.trajectories,
                steps_per_traj=args.steps_per_trajectory,
                render=not args.headless,
                realtime=args.realtime,
            )
            timestamp = datetime.now().strftime("%Y-%m-%d_%H-%M-%S")
            file_stem = f"multi_bb_{timestamp}"
            dataset_path = os.path.join(args.out_dir, f"{file_stem}.npz")
            buffer.save(dataset_path)

            meta = {
                "environment": "multi_ball_bottle",
                "trajectories": args.trajectories,
                "steps_per_trajectory": args.steps_per_trajectory,
                "total_trajectories": len(buffer),
                "total_steps": len(buffer) * args.steps_per_trajectory,
                "seed": args.seed,
                "config": config.__dict__,
                "timestamp": timestamp,
                "headless": args.headless,
            }
            import pickle

            metadata_path = os.path.join(args.out_dir, f"{file_stem}_metadata.pkl")
            with open(metadata_path, "wb") as f:
                pickle.dump(meta, f)

            print(f"[INFO] Dataset saved: {dataset_path}")
            print(f"[INFO] Metadata saved: {metadata_path}")
            print(f"[INFO] Collected {len(buffer)} trajectories")
    finally:
        env.close()


if __name__ == "__main__":
    main()