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"""
PyBullet Rendering Module — Real physics visualization using URDF models.
Provides an optional physics-backed renderer that loads real URDF models
(Kuka robot arm, table, containers, food items) and renders frames.
This module is used for:
1. Generating visual frames for the frontend viewer
2. Physics validation of placements
3. Demo/presentation screenshots
The simulation engine (engine.py) handles all logic — this module only
provides visualization and optional physics validation.
"""
from __future__ import annotations
import base64
import io
import math
import os
from typing import Any, Dict, List, Optional, Tuple
import numpy as np
# PyBullet may not be available in all environments
try:
import pybullet as p
import pybullet_data
PYBULLET_AVAILABLE = True
except ImportError:
PYBULLET_AVAILABLE = False
# Color presets for food items
FOOD_COLORS = {
"rice": [1.0, 1.0, 0.9, 1.0], # white
"sambar": [0.9, 0.5, 0.1, 1.0], # orange
"curd": [1.0, 1.0, 0.95, 1.0], # off-white
"chapati": [0.8, 0.6, 0.3, 1.0], # brown
"pickle": [0.8, 0.1, 0.1, 1.0], # red
"dal": [0.9, 0.8, 0.2, 1.0], # yellow
"rasam": [0.6, 0.1, 0.05, 1.0], # dark red
"poriyal": [0.2, 0.7, 0.2, 1.0], # green
"papad": [0.9, 0.8, 0.4, 1.0], # golden
"raita": [0.8, 0.9, 0.8, 1.0], # pale green
"idli": [1.0, 1.0, 0.95, 1.0], # white
"chutney": [0.1, 0.6, 0.1, 1.0], # green
"biryani": [0.9, 0.7, 0.2, 1.0], # saffron
"curry": [0.6, 0.3, 0.1, 1.0], # brown
"salad": [0.3, 0.8, 0.3, 1.0], # mixed green
}
# Container colors
CONTAINER_COLORS = {
"sealed_round": [0.7, 0.7, 0.8, 0.7], # steel blue
"flat_open": [0.8, 0.6, 0.3, 0.8], # bronze
"deep_box": [0.6, 0.6, 0.7, 0.7], # grey steel
"small_sealed": [0.9, 0.9, 0.95, 0.7], # silver
}
class PyBulletRenderer:
"""
Optional PyBullet-based renderer for the tiffin packing scene.
Creates a physics simulation with:
- Kuka IIWA robot arm (from pybullet_data)
- Table (box primitive)
- Food items (colored cubes/spheres on table)
- Tiffin containers (open-top box composites)
"""
def __init__(self, gui: bool = False):
if not PYBULLET_AVAILABLE:
raise ImportError(
"pybullet is not installed. Install with: pip install pybullet"
)
self._gui = gui
self._physics_client = None
self._robot_id = None
self._table_id = None
self._food_ids: Dict[int, int] = {} # food_item_id -> bullet_body_id
self._container_ids: Dict[int, int] = {} # container_id -> bullet_body_id
self._initialized = False
def initialize(self):
"""Start the PyBullet physics server."""
if self._initialized:
return
if self._gui:
self._physics_client = p.connect(p.GUI)
else:
self._physics_client = p.connect(p.DIRECT)
p.setAdditionalSearchPath(pybullet_data.getDataPath())
p.setGravity(0, 0, -9.81)
# Load ground plane
p.loadURDF("plane.urdf")
self._initialized = True
def setup_scene(
self,
food_items: list,
containers: list,
):
"""
Set up the full PyBullet scene with robot, table, food, containers.
Args:
food_items: List of FoodItem dataclasses
containers: List of Container dataclasses
"""
self.initialize()
# Clear previous objects
self._clear_objects()
# --- Table ---
table_half_extents = [0.4, 0.6, 0.02]
table_col = p.createCollisionShape(p.GEOM_BOX, halfExtents=table_half_extents)
table_vis = p.createVisualShape(
p.GEOM_BOX,
halfExtents=table_half_extents,
rgbaColor=[0.6, 0.4, 0.2, 1.0],
)
self._table_id = p.createMultiBody(
baseMass=0,
baseCollisionShapeIndex=table_col,
baseVisualShapeIndex=table_vis,
basePosition=[0, 0, 0.6],
)
# Table legs
for lx, ly in [(-0.35, -0.55), (-0.35, 0.55), (0.35, -0.55), (0.35, 0.55)]:
leg_col = p.createCollisionShape(
p.GEOM_BOX, halfExtents=[0.02, 0.02, 0.3]
)
leg_vis = p.createVisualShape(
p.GEOM_BOX,
halfExtents=[0.02, 0.02, 0.3],
rgbaColor=[0.5, 0.3, 0.15, 1.0],
)
p.createMultiBody(
baseMass=0,
baseCollisionShapeIndex=leg_col,
baseVisualShapeIndex=leg_vis,
basePosition=[lx, ly, 0.3],
)
# --- Robot arm (Kuka IIWA) ---
self._robot_id = p.loadURDF(
"kuka_iiwa/model.urdf",
basePosition=[-0.5, 0, 0.62],
useFixedBase=True,
)
# --- Food items ---
for item in food_items:
color = FOOD_COLORS.get(item.name, [0.5, 0.5, 0.5, 1.0])
if item.food_type == "liquid":
# Sphere for liquids
shape_col = p.createCollisionShape(p.GEOM_SPHERE, radius=0.03)
shape_vis = p.createVisualShape(
p.GEOM_SPHERE, radius=0.03, rgbaColor=color
)
elif item.fragility > 0.6:
# Flat disc for fragile items (papad, chapati)
shape_col = p.createCollisionShape(
p.GEOM_CYLINDER, radius=0.04, height=0.01
)
shape_vis = p.createVisualShape(
p.GEOM_CYLINDER,
radius=0.04,
length=0.01,
rgbaColor=color,
)
else:
# Cube for solid foods
sz = 0.025
shape_col = p.createCollisionShape(
p.GEOM_BOX, halfExtents=[sz, sz, sz]
)
shape_vis = p.createVisualShape(
p.GEOM_BOX, halfExtents=[sz, sz, sz], rgbaColor=color
)
body_id = p.createMultiBody(
baseMass=0.1,
baseCollisionShapeIndex=shape_col,
baseVisualShapeIndex=shape_vis,
basePosition=[
item.position[0],
item.position[1],
item.position[2] + 0.03,
],
)
self._food_ids[item.id] = body_id
# --- Containers (open-top boxes) ---
for container in containers:
color = CONTAINER_COLORS.get(
container.container_type, [0.5, 0.5, 0.5, 0.7]
)
# Scale container size based on capacity
scale = (container.capacity_ml / 300) ** 0.33
w, d, h = 0.05 * scale, 0.05 * scale, 0.06 * scale
# Bottom
bottom_col = p.createCollisionShape(
p.GEOM_BOX, halfExtents=[w, d, 0.002]
)
bottom_vis = p.createVisualShape(
p.GEOM_BOX, halfExtents=[w, d, 0.002], rgbaColor=color
)
cx, cy, cz = container.position
body_id = p.createMultiBody(
baseMass=0,
baseCollisionShapeIndex=bottom_col,
baseVisualShapeIndex=bottom_vis,
basePosition=[cx, cy, cz],
)
self._container_ids[container.id] = body_id
# Walls (4 sides)
wall_thickness = 0.003
walls = [
([w, wall_thickness, h / 2], [cx, cy + d, cz + h / 2]),
([w, wall_thickness, h / 2], [cx, cy - d, cz + h / 2]),
([wall_thickness, d, h / 2], [cx + w, cy, cz + h / 2]),
([wall_thickness, d, h / 2], [cx - w, cy, cz + h / 2]),
]
for wall_ext, wall_pos in walls:
wall_col = p.createCollisionShape(
p.GEOM_BOX, halfExtents=wall_ext
)
wall_vis = p.createVisualShape(
p.GEOM_BOX, halfExtents=wall_ext, rgbaColor=color
)
p.createMultiBody(
baseMass=0,
baseCollisionShapeIndex=wall_col,
baseVisualShapeIndex=wall_vis,
basePosition=wall_pos,
)
# Set up camera
p.resetDebugVisualizerCamera(
cameraDistance=1.2,
cameraYaw=45,
cameraPitch=-30,
cameraTargetPosition=[0, 0, 0.6],
)
def render(
self,
width: int = 640,
height: int = 480,
camera_distance: float = 1.2,
camera_yaw: float = 45,
camera_pitch: float = -30,
) -> np.ndarray:
"""
Render the current scene as an RGB image.
Returns:
numpy array of shape (height, width, 3) with RGB values.
"""
if not self._initialized:
raise RuntimeError("Renderer not initialized. Call setup_scene() first.")
view_matrix = p.computeViewMatrixFromYawPitchRoll(
cameraTargetPosition=[0, 0, 0.6],
distance=camera_distance,
yaw=camera_yaw,
pitch=camera_pitch,
roll=0,
upAxisIndex=2,
)
proj_matrix = p.computeProjectionMatrixFOV(
fov=60,
aspect=width / height,
nearVal=0.1,
farVal=3.0,
)
_, _, rgba, _, _ = p.getCameraImage(
width=width,
height=height,
viewMatrix=view_matrix,
projectionMatrix=proj_matrix,
renderer=p.ER_TINY_RENDERER,
)
rgb = np.array(rgba, dtype=np.uint8).reshape(height, width, 4)[:, :, :3]
return rgb
def render_base64(self, **kwargs) -> str:
"""Render scene and return as base64-encoded PNG string."""
rgb = self.render(**kwargs)
from PIL import Image
img = Image.fromarray(rgb)
buffer = io.BytesIO()
img.save(buffer, format="PNG")
return base64.b64encode(buffer.getvalue()).decode("utf-8")
def move_food_to_container(self, food_item_id: int, container_id: int):
"""Visually move a food item into a container (for animation)."""
if food_item_id not in self._food_ids or container_id not in self._container_ids:
return
food_body = self._food_ids[food_item_id]
container_body = self._container_ids[container_id]
# Get container position
pos, _ = p.getBasePositionAndOrientation(container_body)
# Place food slightly above container center
new_pos = [pos[0], pos[1], pos[2] + 0.05]
p.resetBasePositionAndOrientation(
food_body, new_pos, [0, 0, 0, 1]
)
def close(self):
"""Disconnect from PyBullet."""
if self._initialized:
p.disconnect(self._physics_client)
self._initialized = False
def _clear_objects(self):
"""Remove all food and container objects."""
for body_id in self._food_ids.values():
try:
p.removeBody(body_id)
except Exception:
pass
for body_id in self._container_ids.values():
try:
p.removeBody(body_id)
except Exception:
pass
self._food_ids.clear()
self._container_ids.clear()
def __del__(self):
self.close()
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