# Plan: Android on-device audio capture
> Status: proposed plan (not yet approved). No code changes. Last updated 2026-06-01.
## Context
LedGrab's audio-reactive features (music analyzer, audio value sources, band filters)
depend on capturing an audio stream and running it through `AudioAnalyzer`
(`server/src/ledgrab/core/audio/analysis.py`). On desktop this is fed by **WASAPI**
(Windows) or **Sounddevice/PortAudio** (cross-platform). On the **experimental
Android-TV build** neither is available — `sounddevice` has no Chaquopy wheel and PortAudio
isn't bundled — so `core/audio/__init__.py` registers only `DemoAudioEngine`, and
audio-reactive lighting is effectively dead on Android.
Android does not need PortAudio: the platform exposes **`AudioPlaybackCapture`** (API 29+),
which captures system playback audio and **takes a `MediaProjection` token — the very token
the app already obtains for screen capture** (`ScreenCapture(projection, …)`). This plan adds
a push-based Android audio engine so the TV box can drive sound-reactive lighting from its own
media playback, at parity with how desktop audio feeds the analyzer.
The design mirrors the working screen-capture bridge
(`mediaprojection_engine.py` ↔ `ScreenCapture.kt` ↔ `PythonBridge`) and the existing audio
engine abstraction (`AudioCaptureEngine` / `AudioCaptureStreamBase` /
`AudioEngineRegistry`). **No new Python dependencies** (`numpy` is already bundled) → no
Chaquopy / `build.gradle.kts` `pip {}` changes.
---
## Approach
A new **push-based** audio engine registered in the existing `AudioEngineRegistry`:
- **Python:** `AndroidAudioEngine` + `AndroidAudioCaptureStream` mirroring `SounddeviceEngine`,
but `read_chunk()` pops PCM from a module-level queue that **Kotlin fills** (mirror of
`mediaprojection_engine.push_frame`). High `ENGINE_PRIORITY` so
`AudioEngineRegistry.get_best_available_engine()` selects it on Android. The existing
`ManagedAudioStream` capture loop and `AudioAnalyzer` consume `read_chunk()` unchanged.
- **Android:** an `AudioCapture` helper using `AudioRecord` + `AudioPlaybackCaptureConfiguration`
(reusing `CaptureService`'s `MediaProjection`), pushing float32 PCM to Python. Mic
(`AudioSource.MIC`) fallback. Wired into `CaptureService` next to `ScreenCapture`.
```
[media playback] → AudioRecord (AudioPlaybackCapture, reuses MediaProjection)
→ AudioCapture.kt → PythonBridge.pushAudio(pcmFloat32, frames, channels)
→ android_audio_engine.push_samples() [module-level queue]
→ AndroidAudioCaptureStream.read_chunk() → ManagedAudioStream → AudioAnalyzer [unchanged]
```
---
## Part A — Python (server)
**New file: `server/src/ledgrab/core/audio/android_audio_engine.py`** — mirror
`mediaprojection_engine.py` (queue + configure + push) and `sounddevice_engine.py` (engine/stream shape):
```python
import queue
import numpy as np
from typing import Any, Dict, List
from ledgrab.core.audio.base import AudioCaptureEngine, AudioCaptureStreamBase, AudioDeviceInfo
from ledgrab.utils import get_logger
logger = get_logger(__name__)
_pcm_queue: "queue.Queue[np.ndarray]" = queue.Queue(maxsize=8)
_sample_rate = 48000
_channels = 2
_chunk_size = 1024
_active = False
def configure(sample_rate: int, channels: int, chunk_size: int) -> None:
"""Called from Kotlin before audio frames start flowing. Drains stale PCM."""
global _sample_rate, _channels, _chunk_size, _active
while not _pcm_queue.empty():
try: _pcm_queue.get_nowait()
except queue.Empty: break
_sample_rate, _channels, _chunk_size = sample_rate, channels, chunk_size
_active = True
def push_samples(pcm_float32: bytes) -> None:
"""Push one interleaved float32 PCM chunk from Kotlin. Drops oldest if full."""
samples = np.frombuffer(pcm_float32, dtype=np.float32)
try:
_pcm_queue.put_nowait(samples)
except queue.Full:
try: _pcm_queue.get_nowait()
except queue.Empty: pass
try: _pcm_queue.put_nowait(samples)
except queue.Full: pass
def shutdown() -> None:
global _active
_active = False
class AndroidAudioCaptureStream(AudioCaptureStreamBase):
@property
def channels(self) -> int: return _channels
@property
def sample_rate(self) -> int: return _sample_rate
@property
def chunk_size(self) -> int: return _chunk_size
def initialize(self) -> None:
if not _active:
raise RuntimeError("Android audio engine not configured (only valid in-app).")
self._initialized = True
def cleanup(self) -> None:
self._initialized = False
def read_chunk(self) -> np.ndarray | None:
try:
return _pcm_queue.get(timeout=0.1) # 1-D float32 interleaved
except queue.Empty:
return None
class AndroidAudioEngine(AudioCaptureEngine):
ENGINE_TYPE = "android_playback"
ENGINE_PRIORITY = 100 # highest on Android (demo is lower)
@classmethod
def is_available(cls) -> bool:
from ledgrab.utils.platform import is_android
return is_android() and _active
@classmethod
def get_default_config(cls) -> Dict[str, Any]:
return {"sample_rate": _sample_rate, "channels": _channels, "chunk_size": _chunk_size}
@classmethod
def enumerate_devices(cls) -> List[AudioDeviceInfo]:
if not cls.is_available(): return []
return [AudioDeviceInfo(index=0, name="Android playback (system audio)",
is_input=True, is_loopback=True,
channels=_channels, default_samplerate=float(_sample_rate))]
@classmethod
def create_stream(cls, device_index, is_loopback, config) -> AndroidAudioCaptureStream:
return AndroidAudioCaptureStream(device_index, is_loopback, {**cls.get_default_config(), **config})
```
**Modify `server/src/ledgrab/core/audio/__init__.py`** — register behind a guarded import,
matching the existing `_has_wasapi` / `_has_sounddevice` pattern:
```python
try:
from ledgrab.core.audio.android_audio_engine import AndroidAudioEngine
_has_android_audio = True
except ImportError:
_has_android_audio = False
...
if _has_android_audio:
AudioEngineRegistry.register(AndroidAudioEngine)
```
**Reused, unchanged:** `AudioEngineRegistry.get_best_available_engine()` (picks by priority),
`ManagedAudioStream._capture_loop()` (`audio_capture.py`), `AudioAnalyzer`, the audio value
sources, and the device-enumeration endpoints. The Android engine appears as one loopback
device named "Android playback (system audio)".
---
## Part B — Android (Kotlin + manifest)
**New file: `android/app/src/main/java/com/ledgrab/android/AudioCapture.kt`**
Mirrors `ScreenCapture.kt`, taking the same `MediaProjection`:
```kotlin
class AudioCapture(
private val projection: MediaProjection,
private val bridge: PythonBridge,
private val sampleRate: Int = 48000,
private val channels: Int = 2,
private val chunkFrames: Int = 1024,
)
```
- `start()` (API 29+, MediaProjection mode):
- Build `AudioPlaybackCaptureConfiguration(projection)` adding usages
`USAGE_MEDIA`, `USAGE_GAME`, `USAGE_UNKNOWN` (the capturable set).
- `AudioRecord.Builder().setAudioPlaybackCaptureConfig(cfg)` with
`AudioFormat(ENCODING_PCM_FLOAT, sampleRate, CHANNEL_IN_STEREO)`.
- On a dedicated `HandlerThread`, loop `audioRecord.read(floatBuf, …, READ_BLOCKING)` →
wrap into a little-endian float32 `ByteArray` (reusable buffer, like `ScreenCapture`'s
`frameBuffer`) → `bridge.pushAudio(bytes, framesRead, channels)`.
- `stop()`: stop/release `AudioRecord`, quit the thread.
- **Mic fallback** (`startMic()`): `AudioSource.MIC` for root mode (no MediaProjection) or
API < 29. Used only when playback capture is unavailable.
**Modify `android/app/src/main/java/com/ledgrab/android/PythonBridge.kt`** — add the audio
push path (same shape as `pushFrame`, with a cached PyObject handle):
```kotlin
@Volatile private var androidAudioEngine: PyObject? = null
fun configureAudio(sampleRate: Int, channels: Int, chunkFrames: Int) {
val engine = Python.getInstance().getModule("ledgrab.core.audio.android_audio_engine")
engine.callAttr("configure", sampleRate, channels, chunkFrames)
androidAudioEngine = engine
}
fun pushAudio(pcmFloat32: ByteArray, frames: Int, channels: Int) {
if (!running) return
androidAudioEngine?.let {
try { it.callAttr("push_samples", pcmFloat32) }
catch (e: Exception) { Log.w(TAG, "pushAudio failed: ${e.message}") }
}
}
```
**Modify `android/app/src/main/java/com/ledgrab/android/CaptureService.kt`** — in the
MediaProjection start path (where `ScreenCapture` is created with the projection), if
`RECORD_AUDIO` is granted and API ≥ 29, also `bridge.configureAudio(...)` and start an
`AudioCapture(projection, bridge)`. Stop/release it in `onDestroy` alongside `ScreenCapture`.
Root path → optional mic fallback (or skip; see Risks).
**Modify `android/app/src/main/AndroidManifest.xml`:**
```xml
```
The existing `CaptureService` already declares `foregroundServiceType="mediaProjection|specialUse"`
and holds `FOREGROUND_SERVICE_MEDIA_PROJECTION`; add `microphone` to the type only if mic
fallback is implemented.
**Modify `MainActivity.kt`** — request `RECORD_AUDIO` at runtime alongside the existing
`ensureNotificationPermission()` (POST_NOTIFICATIONS) flow, before starting capture. Capture
proceeds without audio if denied (graceful degradation).
---
## Orchestration decision (the main trade-off)
Desktop starts audio capture **on demand** when an audio-reactive source is acquired
(`AudioCaptureManager.acquire`). On Android, PCM only flows if Kotlin has set up `AudioRecord`.
- **MVP (recommended):** start `AudioCapture` when `CaptureService` starts (if `RECORD_AUDIO`
granted + MediaProjection mode + API ≥ 29) and push continuously; the bounded queue drops
frames when no audio source consumes them. Simplest; modest extra CPU.
- **Future optimization:** on-demand start/stop signaled Python→Kotlin (Chaquopy can call
Kotlin, as `BleBridge`/`UsbSerialBridge` show) so `AudioRecord` runs only while an
audio-reactive source is active. Defer unless CPU/battery on low-end boxes warrants it.
---
## What does NOT change
- **Frontend / API** — audio engine + device selection, the music analyzer UI, and audio value
sources are engine-agnostic; the Android engine shows up via the existing device enumeration.
- **`build.gradle.kts` / Chaquopy pip block** — no new Python packages.
- **Audio analysis pipeline** — `AudioAnalyzer`, band filters, `ManagedAudioStream` untouched.
---
## Files
**Create**
- `server/src/ledgrab/core/audio/android_audio_engine.py`
- `android/app/src/main/java/com/ledgrab/android/AudioCapture.kt`
- `server/tests/core/audio/test_android_audio_engine.py`
**Modify**
- `server/src/ledgrab/core/audio/__init__.py` — guarded import + registry registration.
- `android/app/src/main/java/com/ledgrab/android/PythonBridge.kt` — `configureAudio` + `pushAudio`.
- `android/app/src/main/java/com/ledgrab/android/CaptureService.kt` — start/stop `AudioCapture`.
- `android/app/src/main/java/com/ledgrab/android/MainActivity.kt` — request `RECORD_AUDIO`.
- `android/app/src/main/AndroidManifest.xml` — `RECORD_AUDIO` (+ mic FGS if mic fallback).
---
## Tests (Python — run on desktop CI, no Android device needed)
New `server/tests/core/audio/test_android_audio_engine.py`:
- `configure()` then `push_samples()` → `read_chunk()` returns the same float32 samples;
queue drops oldest when full (push > maxsize).
- `AndroidAudioEngine.is_available()` is `False` until `configure()` and only on Android
(monkeypatch `ledgrab.utils.platform.is_android`); `True` after.
- `enumerate_devices()` returns exactly one loopback device when active, `[]` otherwise.
- Integration: with `is_android()` patched true + `configure()`, `get_best_available_engine()`
returns `"android_playback"` (priority beats demo), and a stream created via
`AudioEngineRegistry.create_stream("android_playback", 0, True, {})` yields pushed chunks.
- Registry isolation: use `AudioEngineRegistry.clear_registry()` / re-register in fixtures so
desktop engines aren't disturbed.
## Verification
1. **Python:** `py -3.13 -m pytest tests/core/audio/test_android_audio_engine.py --no-cov -q`
(from `server/`), then the full suite.
2. **Lint:** `ruff check src/ tests/ --fix` (from `server/`).
3. **Android build:** `./gradlew :app:assembleDebug` (from `android/`).
4. **On device/emulator (manual):** install APK → grant `RECORD_AUDIO` + screen-capture consent
→ start capture → play non-DRM media (e.g. a local video / YouTube web) → create an
audio-reactive value source bound to a strip → confirm the LEDs react to the audio, and the
Android playback device appears in audio device enumeration.
## Risks / notes
- **DRM opt-out:** Netflix/Disney+/etc. set audio as non-capturable; `AudioPlaybackCapture`
yields silence for them. Works for non-DRM media and the device's own audio. Document in UI.
- **API 29 minimum** for playback capture (minSdk is 24). API 24–28 and root mode (no
MediaProjection) → mic fallback only, or audio unsupported. Gate cleanly + log.
- **`RECORD_AUDIO`** is a runtime "dangerous" permission — must be requested; capture must
degrade gracefully when denied.
- **Format:** request `ENCODING_PCM_FLOAT` so Kotlin pushes float32 matching
`read_chunk()`'s contract (1-D interleaved float32, length = frames × channels). If a device
rejects float, capture 16-bit PCM and convert (`/32768.0`) before pushing.
- **Latency/CPU:** small `chunkFrames` (e.g. 1024 @ 48 kHz ≈ 21 ms) keeps reactivity tight;
continuous capture (MVP) adds modest CPU on low-end boxes — see the orchestration trade-off.
- **R8/ProGuard:** minify is disabled and the Python module is resolved by string from Kotlin;
no new keep-rules needed.