Files
matrix-ai-agent/activity_video.py
Christian Gick efb976a27c feat: activity video track (pulsing orb) for voice sessions
- ActivityVideoPublisher renders animated orb on 160x120 canvas
- Integrated into both agent.py and voice.py
- Updates confluence-collab submodule
2026-03-06 15:58:51 +00:00

162 lines
5.2 KiB
Python

"""Activity video track — pulsing orb (lightweight).
Small 160x120 canvas, only renders pixels near the orb.
LiveKit/browser upscales. Minimal CPU on both server and client.
"""
import asyncio
import math
import random
import logging
import time
import struct
from livekit.rtc import VideoSource, VideoFrame, VideoBufferType
logger = logging.getLogger("activity-video")
WIDTH = 160
HEIGHT = 120
FPS = 15
BPP = 4
CX, CY = WIDTH // 2, HEIGHT // 2
BG = (12, 12, 28)
STATE_COLORS = {
"listening": (40, 120, 255),
"thinking": (100, 60, 255),
"speaking": (30, 200, 255),
"initializing": (40, 60, 120),
}
_BG_PIXEL = struct.pack('BBBB', *BG, 255)
_BG_FRAME = _BG_PIXEL * (WIDTH * HEIGHT)
# Pre-compute distance from center — only within max possible glow radius
MAX_ORB = 45 # max orb radius at full energy
MAX_GLOW = int(MAX_ORB * 2.5) + 5
# Store sparse: list of (pixel_index, distance) for pixels within MAX_GLOW of center
_PIXELS = []
for _y in range(max(0, CY - MAX_GLOW), min(HEIGHT, CY + MAX_GLOW + 1)):
dy = _y - CY
for _x in range(max(0, CX - MAX_GLOW), min(WIDTH, CX + MAX_GLOW + 1)):
dx = _x - CX
d = math.sqrt(dx * dx + dy * dy)
if d <= MAX_GLOW:
_PIXELS.append((_y * WIDTH + _x, d))
class ActivityVideoPublisher:
def __init__(self):
self.source = VideoSource(WIDTH, HEIGHT)
self._state = "initializing"
self._stopped = False
self._pulse = 0.0
self._energy = 0.0
self._target_energy = 0.0
self._color = list(STATE_COLORS["initializing"])
self._target_color = list(STATE_COLORS["initializing"])
self._ring_phase = 0.0
def set_state(self, state: str):
if self._state != state:
logger.info("Activity video state: %s -> %s", self._state, state)
self._state = state
self._target_color = list(STATE_COLORS.get(state, STATE_COLORS["initializing"]))
def stop(self):
self._stopped = True
def _update(self, t: float):
state = self._state
for i in range(3):
self._color[i] += (self._target_color[i] - self._color[i]) * 0.08
if state == "listening":
self._target_energy = 0.3
self._pulse = 0.5 * math.sin(t * 1.5) + 0.5
elif state == "thinking":
self._target_energy = 0.6
self._pulse = 0.5 * math.sin(t * 3.0) + 0.5
elif state == "speaking":
self._target_energy = 0.9 + random.uniform(-0.1, 0.1)
self._pulse = 0.5 * math.sin(t * 6.0) + 0.5 + random.uniform(-0.15, 0.15)
else:
self._target_energy = 0.15
self._pulse = 0.3
self._energy += (self._target_energy - self._energy) * 0.12
self._ring_phase = t
def _render_frame(self) -> bytearray:
buf = bytearray(_BG_FRAME)
r, g, b = self._color
energy = self._energy
pulse = self._pulse
bg_r, bg_g, bg_b = BG
base_radius = 15 + 8 * energy
orb_radius = base_radius + 4 * pulse * energy
glow_radius = orb_radius * 2.5
inv_orb = 1.0 / max(orb_radius, 1)
glow_span = glow_radius - orb_radius
inv_glow = 1.0 / max(glow_span, 1)
ring_active = self._state == "speaking"
if ring_active:
ring1_r = orb_radius + ((self._ring_phase * 30) % glow_span)
ring2_r = orb_radius + ((self._ring_phase * 30 + glow_span * 0.5) % glow_span)
for idx, dist in _PIXELS:
if dist > glow_radius:
continue
if dist <= orb_radius:
f = dist * inv_orb
brightness = 1.0 - 0.3 * f * f
white = max(0.0, 1.0 - f * 2.5) * 0.6 * energy
pr = min(255, int(r * brightness + 255 * white))
pg = min(255, int(g * brightness + 255 * white))
pb = min(255, int(b * brightness + 255 * white))
else:
f = (dist - orb_radius) * inv_glow
t3 = 1.0 - f
glow = t3 * t3 * t3 * energy * 0.5
if ring_active:
for rr in (ring1_r, ring2_r):
rd = abs(dist - rr)
if rd < 4:
glow += (1.0 - rd * 0.25) * 0.3 * (1.0 - f)
pr = min(255, int(bg_r + r * glow))
pg = min(255, int(bg_g + g * glow))
pb = min(255, int(bg_b + b * glow))
off = idx * BPP
buf[off] = pr
buf[off + 1] = pg
buf[off + 2] = pb
return buf
async def run(self):
logger.info("Activity video loop started (%dx%d @ %d FPS, orb mode, %d active pixels)",
WIDTH, HEIGHT, FPS, len(_PIXELS))
interval = 1.0 / FPS
t0 = time.monotonic()
rgba_type = VideoBufferType.Value('RGBA')
while not self._stopped:
t = time.monotonic() - t0
self._update(t)
buf = self._render_frame()
frame = VideoFrame(WIDTH, HEIGHT, rgba_type, buf)
self.source.capture_frame(frame)
render_time = time.monotonic() - t0 - t
await asyncio.sleep(max(0.001, interval - render_time))
logger.info("Activity video loop stopped")