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alexei.dolgolyov 4b2e8fc5ec docs(android): add audio-capture design + missing-functionality review
- android-audio-capture-plan.md — design behind the merged on-device audio
  capture feature (487259a).
- android-missing-functionality.md — Android missing-feature review notes.
2026-06-02 03:30:43 +03:00
alexei.dolgolyov 487259a96d Merge feature/android-audio-capture: Android on-device audio capture
Push-based AndroidAudioEngine (AudioPlaybackCapture, API 29+) reusing the
MediaProjection token, feeding the unchanged AudioAnalyzer. Build green
(assembleDebug), 1854+13 tests pass. Reviewed: READY/SECURE, 0 blockers.
2026-06-02 03:28:37 +03:00
alexei.dolgolyov fd62db1720 feat(audio): Android on-device system playback capture
Enable audio-reactive lighting on the Android-TV build. A push-based
AndroidAudioEngine captures system playback audio via AudioPlaybackCapture
(API 29+), reusing the existing MediaProjection token, and feeds PCM into
the unchanged AudioAnalyzer pipeline. No new Python deps; no Chaquopy/pip
changes (numpy already bundled).

- Python: android_audio_engine.py — module-level queue + configure/
  push_samples/shutdown mirroring mediaprojection_engine; AndroidAudioEngine
  (priority 100) registered behind a guarded import. push_samples copies and
  defensively trims/clamps each block so the analyzer can't crash on
  variable-length or non-frame-divisible PCM.
- Kotlin: AudioCapture.kt — AudioRecord + AudioPlaybackCaptureConfiguration,
  fixed chunk-size block framing, little-endian float32, mic fallback;
  reads back the actual negotiated channel/sample rate. PythonBridge gains
  configureAudio/pushAudio/shutdownAudio with a cached module handle.
- Wiring: CaptureService starts/stops AudioCapture in the MediaProjection
  path (gated on API>=29 + RECORD_AUDIO + live projection); MainActivity
  requests RECORD_AUDIO; manifest declares it. Degrades gracefully when
  denied; root path stays audio-less by design.
- Tests: 13 desktop-CI tests incl. an over-length/non-divisible regression
  guard that exercises the full read_chunk -> AudioAnalyzer.analyze path.
2026-06-02 03:28:22 +03:00
alexei.dolgolyov 669ae20824 feat(value-sources): optional normalization for magnitude sources
Add an opt-out `normalize` flag to the four magnitude value sources
(ha_entity, http, system_metrics, game_event). get_value() stays in
[0,1] for every source (the normalized scalar-bus invariant), so all
existing consumers — brightness sinks, gradient_map, template `name`
bindings, and color-strip bindable floats — are unaffected.

- normalize=False is a clamp-passthrough: skip the min/max rescale and
  clamp the raw reading into [0,1] (for sources already reporting a
  0..1 fraction). The un-normalized magnitude stays available via
  get_raw_value() / template raw[name] / automations.
- Add get_raw_value() + a raw channel to GameEventValueStream (it had
  none). game_event's flag is model/stream-level only (no CRUD schema).
- Finite-safe clamp01() util; harden the composite-layer brightness
  multiply (latent negative-wrap / >=1 skip) with it.
- Preview WebSocket: tolerate non-numeric raw, generalize raw-range.
- Frontend: settings-toggle slider per HA/system_metrics/http editor
  with min/max grey-out; toggle hidden for fixed-mapping percent
  metrics. en/ru/zh locale keys.
- Additive optional field (default True) — JSON round-trip, no migration.

Tests: store create/update round-trip, clamp-passthrough, live
normalize flip, game_event raw channel + build_stream forwarding,
and finite-safe clamp01.
2026-06-02 02:24:40 +03:00
alexei.dolgolyov 6de61b965e feat(value-sources): add sandboxed-Jinja template combinator
A new `template` value source evaluates a hardened, sandboxed Jinja
expression over the live values of other value sources — the system's
first float combinator.

Backend:
- Shared engine (utils/template_expr.py): ImmutableSandboxedEnvironment with
  filters/tests and auto-injected globals stripped; only min/max/abs/round/
  clamp exposed; rejects **, string/collection-literal repetition, attribute
  access and non-global calls; NaN/inf-safe result coercion.
- TemplateValueSource model + TemplateValueStream runtime: compile-once,
  primitives-only eval context, raw[name] exposure, eval_interval throttle,
  ref-counted input acquire/release, rename-safe hot-update.
- Validation: unbound-variable + reserved-name rejection, reference
  cycle/depth guards (depth-only at create, full cycle at update), runtime
  acquire() depth backstop, and delete referential-integrity.
- API: Create/Update/Response schemas + discriminated unions, _RESPONSE_MAP,
  and an advisory POST /value-sources/validate-template endpoint.
- Demo seed: a static source plus a template combinator example.

Frontend:
- Editor modal section: repeatable inputs list (EntitySelect rows), a
  zero-dependency Jinja syntax highlighter, a hints/reference panel, and a
  debounced live validator that gates Save (stale-response-safe).
- Graph editor: read-only template node with one edge per input.
- i18n (en/ru/zh), icon, and card rendering.

Tests: engine, stream, factory/cycle, validate endpoint, and demo seed.
2026-06-01 18:53:56 +03:00
alexei.dolgolyov 12b40e6071 docs: actualize README and API reference, embed screenshots
README: add free & open-source (MIT) framing; add a Platforms table (Windows/Linux/macOS/Docker supported, Android-TV build marked experimental, scrcpy phone-capture retained); expand the LED device list to ~20 protocols; correct storage to SQLite, the auth model, and resource names (Output Targets, Automations); add a prebuilt-download section; remove the Architecture and Acknowledgments sections; embed dashboard, channels, live-preview, and device-picker screenshots.

docs/API.md: full rewrite from the live route modules — all 253 endpoints across 34 modules, grouped by resource with REST + WebSocket tables, accurate auth model and WS handshake, worked examples, and sensitive-endpoint markers. Replaces the stale v0.1.0 stub.

server/CLAUDE.md: storage is now SQLite (BaseSqliteStore / ledgrab.db / LEDGRAB_DATA_DIR / data_migrations.py); fix the auth description (loopback anonymous, LAN rejected with 401 — not all endpoints open); router registration happens in api/__init__.py.
2026-05-29 14:35:45 +03:00
alexei.dolgolyov 498854f04d refactor(storage): gate clone() behind an opt-in allowlist; expand duplicate tests
Follow-up polish from the duplicate-subgraph review:

- BaseSqliteStore.clone() now requires an opt-in `_cloneable` flag (default
  off), so a new or secret-bearing store can never be cloned by accident —
  defence-in-depth on top of the endpoint's `_DUPLICABLE_KINDS` restriction.
  Only value-source and colour-strip stores are flagged.
- Fix `_check_name_unique` annotation (`str | None = None`).
- Add tests: `layers[].brightness_source_id` remap, the warnings safety net
  firing, the clone allowlist invariant, and clone() refusing a non-cloneable
  store.
2026-05-29 11:55:58 +03:00
alexei.dolgolyov 15cfb821d3 feat(graph): duplicate a selected subgraph server-side
A secret-safe equivalent of blueprint import: the graph editor's overflow menu
gains "Duplicate selection", which deep-clones the selected value and
colour-strip sources server-side (full config preserved, never crossing the
wire) and rewires references that point within the selection — shared
dependencies (devices, HA sources, …) stay shared.

- graph_schema.remap_refs: write-twin of extract_refs (same dot/list/bindable
  grammar) that rewrites only in-selection ids; 8 unit tests.
- BaseSqliteStore.clone(): faithful deep-copy clone (no schema round-trip, so no
  field is lost), prefix-preserving fresh id; reusable by any store.
- POST /api/v1/graph/duplicate: two-pass clone-then-rewire restricted to value /
  colour-strip sources (no inline secrets), with a safety net flagging any
  unremapped reference; 7 integration tests vs real stores.
- Frontend: duplicateSubgraph (+cache invalidation), graphDuplicateSelection
  (reload + reselect the new cluster), overflow-menu item, i18n (en/ru/zh).
2026-05-29 11:45:55 +03:00
alexei.dolgolyov 2e51f46dfd feat(graph): make the visual editor a full wiring control surface
Lets users wire the system end-to-end from the graph, and fixes the core
bug that made drag-to-wire silently fail.

- Fix drag-to-wire 422s across 5 entity kinds: updateConnection() now echoes
  the target's discriminator (source_type/stream_type/target_type) into the
  partial PUT, so value/colour-strip/audio/picture sources and output targets
  all wire correctly. New contract test (54 cases) in test_graph_wiring_contract.py.
- Re-wire composite layers / mapped zones from the graph (right-click a
  layer/zone source edge -> Re-wire). Whole-list write preserves every sibling
  layer/zone setting, with an optimistic-concurrency guard and undo.
- Secret-safe /graph topology: project entities to id/name/subtype + reference
  roots so the endpoint cannot leak webhook tokens or other credentials.
- Carry slot indices on list edges; node custom-icon + schema-drift refinements;
  rewire i18n keys (en/ru/zh); wiring-control roadmap (TODO.md).
2026-05-29 02:29:19 +03:00
alexei.dolgolyov 05cf121666 fix(installer): open WebUI once after "Launch LedGrab"
The finish-page launch action started the app and also opened
http://localhost:8080/ itself, but the app already auto-opens the
browser on a manual (non-autostart) launch, so the page appeared
twice. Drop the installer's redundant open and let the app handle it
(it waits on /health, which is more reliable than a fixed sleep).
2026-05-28 23:52:52 +03:00
alexei.dolgolyov d505388f0e docs: graph-editor wiring-control roadmap (review findings A1-D6) 2026-05-28 23:38:04 +03:00
63 changed files with 6849 additions and 476 deletions
@@ -0,0 +1,308 @@
# 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
<uses-permission android:name="android.permission.RECORD_AUDIO" />
<!-- For mic-mode foreground capture on API 34+ (playback capture is covered by the
existing mediaProjection FGS type): -->
<uses-permission android:name="android.permission.FOREGROUND_SERVICE_MICROPHONE" />
```
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 2428 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.
@@ -0,0 +1,153 @@
# Android (TV) — Missing Functionality Assessment
> Status: review/feasibility document. No code changes. Last updated 2026-06-01.
## Context
LedGrab ships an **experimental on-device Android-TV build**: a Kotlin shell that
embeds the Python FastAPI server via **Chaquopy**, with Kotlin↔Python **bridges**
(`PythonBridge`, `BleBridge`, `UsbSerialBridge`). Several desktop features are
unavailable on this build because their Python backends rely on native libraries
that have no Android/Chaquopy wheels (`mss`, `dxcam`, `sounddevice`/PortAudio,
`opencv`, `nvidia-ml-py`, `winrt`, `dbus-next`), or on OS facilities Android
sandboxes differently.
The README "Feature support by OS" table now carries an Android column reflecting
this. This document assesses **whether each missing feature can be added**, how, and
whether it's worth it.
### The enabling pattern (why most of this is feasible)
Every desktop capability that's "missing" on Android is missing only because of a
*native dependency*, not because the capability is impossible. Android exposes the
same capability through a platform API, and the codebase already has the bridge
shape to plug it in:
> **Bridge pattern:** a Kotlin component captures an event/buffer → pushes it across
> the Chaquopy JNI boundary into a **module-level receiver** in a small Python engine
> → an existing engine/stream consumes it unchanged.
Reference implementation: `server/src/ledgrab/core/capture_engines/mediaprojection_engine.py`
(`configure()` + `push_frame()` + a bounded `queue.Queue`) ↔
`android/app/src/main/java/com/ledgrab/android/ScreenCapture.kt`
`PythonBridge.pushFrame()`. Screen capture already works on Android this exact way.
So for most missing features the work is: **add a Kotlin capture source + a thin
Python receiver engine mirroring that pattern.**
---
## Current Android capability matrix
| Feature | Desktop | Android (TV) today | Missing? |
| ------- | ------- | ------------------ | -------- |
| Screen capture | DXCam/WGC/MSS | ✅ MediaProjection + root `screenrecord` | No |
| LED transports (network/USB-serial/BLE) | ✅ | ✅ (USB via Android driver, BLE via Android bridge) | No |
| System metrics | psutil | ✅ CPU/RAM/battery/thermal via `/proc`, `/sys` (`AndroidMetricsProvider`) | No |
| **Audio capture** | WASAPI / Sounddevice | ❌ no PortAudio | **Yes** |
| **Notification capture** | WinRT / D-Bus | ❌ listener only Win/Linux | **Yes** |
| Webcam capture | OpenCV | ❌ no OpenCV wheel | Yes (niche) |
| GPU monitoring | NVML | ❌ no NVIDIA GPU | Marginal |
| Capture from *another* Android phone | scrcpy/ADB | ❌ | Skip (redundant) |
| Automation: window/process conditions | Windows ctypes | ❌ sandboxed | Partial |
| Monitor names / multi-display | WMI / generic | Single built-in display | Low value |
---
## Per-feature feasibility
### 🔊 Audio capture — **FEASIBLE, HIGH VALUE** ⭐ (detailed plan exists)
- **Blocker:** only `sounddevice`/PortAudio is missing — not the capability.
- **Android path:** `AudioPlaybackCapture` (API 29+) captures system playback audio and
**takes a `MediaProjection` token — which the app already obtains for screen capture.**
Kotlin `AudioRecord` → push PCM (float32) → a new push-based `AndroidAudioEngine`
mirroring `mediaprojection_engine.py`, registered in `core/audio/__init__.py`, feeding
the existing `AudioAnalyzer` unchanged. Mic (`AudioSource.MIC`) is the fallback.
- **Effort:** moderate. **Value:** high — music/sound-reactive lighting is a flagship use
on a TV box. **No new Python deps.**
- ⚠️ DRM-protected apps (Netflix etc.) opt out of playback capture; works for non-DRM
media and the device's own audio. Root mode (no MediaProjection) → mic-only.
- 📄 **See `android-audio-capture-plan.md`** for the full implementation plan.
### 🔔 Notification capture — **FEASIBLE, HIGH VALUE** ⭐ (planned)
- **Android is the *best* platform for this:** `NotificationListenerService` is the native,
event-push mechanism (no polling).
- **Path:** a `NotificationListenerService` resolves the posting app's display label and
pushes it via a module-level `push_notification()` into the existing
`os_notification_listener.py` pipeline (a new push-based `_AndroidBackend` alongside
`_WindowsBackend`/`_LinuxBackend`). Existing `NotificationColorStripSource` filters,
per-app colors/sounds, and the history endpoint all work unchanged. **No new Python deps.**
- **Permission:** user enables "Notification access" in Settings (`ACTION_NOTIFICATION_LISTENER_SETTINGS`);
no runtime-permission popup.
- **Effort:** moderate. **Value:** high.
- 📄 **Plan approved & detailed** — see `C:\Users\Alexei\.claude\plans\deep-enchanting-muffin.md`
(app-name parity; prompt-once permission UX).
### 📷 Webcam capture — **FEASIBLE, LOW VALUE**
- **Blocker** is `opencv-python-headless` (no Chaquopy cp311 wheel) — but capture doesn't
*need* OpenCV. Use **CameraX / Camera2** + `ImageReader` in Kotlin and push frames through
the same bridge as MediaProjection into a new `CameraBridgeEngine`.
- **Effort:** moderate. **Value:** low — TVs rarely have cameras; USB-UVC webcams need extra
device handling. Recommend deferring unless a concrete use case appears.
### 🎮 GPU monitoring — **MARGINAL, SKIP FOR NOW**
- NVML is desktop-NVIDIA only. Android GPU load lives in **vendor-specific sysfs**
(Adreno `/sys/class/kgsl/kgsl-3d0/gpubusy`, Mali `/sys/class/devfreq/*.mali/...`),
inconsistent and often root-only.
- CPU/RAM/battery/thermal are **already** covered by `AndroidMetricsProvider`. A best-effort
GPU-load reader could be added to that provider, but reliability is poor and value is low.
### 🪟 Automation: window/process conditions — **PARTIAL**
- Android forbids full window/process enumeration (`getRunningTasks` restricted since API 21+).
- **Obtainable:** the *current foreground app package* via `UsageStatsManager` (needs the
`PACKAGE_USAGE_STATS` special access) or an `AccessibilityService`.
- So "when <app> is in the foreground → scene X" is feasible (mirrors
`automations/platform_detector.py`, which currently returns empty off-Windows); full
window-title matching is **not**. **Effort:** moderate. **Value:** moderate (per-app scenes
on a TV box).
### 📱 Capture from *another* Android phone (scrcpy/ADB) — **SKIP**
- Impractical and redundant: no `adb` binary in Chaquopy, TV boxes can't reliably host an
adb server, and the device already captures its **own** screen via MediaProjection.
### 🖥️ Monitor names / multi-display — **LOW VALUE**
- `DisplayManager` can report a better display name and enumerate secondary (HDMI) displays,
but MediaProjection captures the default display; capturing a secondary display is more
involved and rarely useful on a single-screen box.
---
## Prioritization
| Priority | Feature | Effort | Value | New Python deps | Status |
| -------- | ------- | ------ | ----- | --------------- | ------ |
| 1 | Notification capture | Moderate | High | None | **Plan approved** |
| 2 | Audio capture | Moderate | High | None | **Plan written** (this folder) |
| 3 | Automation: foreground-app condition | Moderate | Moderate | None | Idea |
| 4 | Webcam capture (CameraX) | Moderate | Low | None | Idea |
| — | GPU load (vendor sysfs) | LowMed | Low | None | Not recommended |
| — | Capture from another phone | — | — | — | Won't do |
| — | Multi-display / monitor names | Low | Low | None | Not recommended |
**Recommended order:** ship notifications → ship audio → reassess. Both reuse existing
infrastructure (bridge pattern, the MediaProjection consent token, the audio/notification
pipelines) and add **zero** Python dependencies, so neither risks the Chaquopy
`--no-deps` build constraint documented in `CLAUDE.md`.
## Cross-cutting notes
- **No `build.gradle.kts` / Chaquopy pip impact** for notifications or audio — both use Android
platform APIs (Kotlin) + stdlib/`numpy` (already bundled) on the Python side.
- **Per-instance `PythonBridge`:** `PythonBridge` is created per `CaptureService` instance, so
system-bound services (e.g. a `NotificationListenerService`) call Python via the
process-global `Python.getInstance()` rather than borrowing that bridge.
- **Permissions are the recurring friction**, not the capture: audio needs `RECORD_AUDIO` +
(for playback capture) a MediaProjection token; notifications need the "Notification access"
settings toggle; foreground-app automation needs `PACKAGE_USAGE_STATS`.
+112 -102
View File
@@ -1,36 +1,58 @@
# LED Grab
Ambient lighting system that captures screen content and drives LED strips in real time. Supports WLED, Adalight, AmbileD, and DDP devices with audio-reactive effects, pattern generation, and automated profile switching.
Ambient lighting system that captures screen content and drives LED strips and smart lights in real time. Supports a wide range of devices — WLED, DDP, Adalight, smart bulbs, PC peripherals, Bluetooth strips, and more — with audio-reactive effects, pattern generation, and condition-based automation.
**Free and open source.** LedGrab is released under the [MIT license](LICENSE) — free to use, modify, and self-host, with no accounts, telemetry, or cloud dependency. Everything runs locally on your own machine and network.
## What It Does
The server captures pixels from a screen (or Android device via ADB), extracts border colors, applies post-processing filters, and streams the result to LED strips at up to 60 fps. A built-in web dashboard provides device management, calibration, live LED preview, and real-time metrics — no external UI required.
The server captures pixels from a screen (or from a connected Android phone via ADB), extracts border colors, applies a post-processing filter pipeline, and streams the result to your LED devices at up to 60 fps. A built-in web dashboard provides device management, calibration, a visual wiring editor, live LED preview, and real-time metrics — no external UI required.
A Home Assistant integration exposes devices as entities for smart home automation.
A separate Home Assistant integration exposes devices as entities for smart-home automation.
## Screenshots
![LedGrab dashboard](docs/screenshots/dashboard.PNG)
*Dashboard — live system performance, integrations, automations, and scene presets at a glance.*
![Channels view](docs/screenshots/dashboard-targets.PNG)
*Channels — start, stop, and monitor each source-to-device pipeline with live FPS.*
![Live capture preview](docs/screenshots/test-preview-capture.PNG)
*Live preview — inspect the processed capture output in real time before it reaches the LEDs.*
## Features
### Screen Capture
- Multi-monitor support with per-target display selection
- 6 capture engine backends MSS (cross-platform), DXCam, BetterCam, Windows Graphics Capture (Windows), Scrcpy (Android via ADB), Camera/Webcam (OpenCV)
- Capture engine backends: MSS (cross-platform), DXCam, BetterCam, Windows Graphics Capture (Windows only), and Camera/Webcam (OpenCV)
- Capture from a connected Android phone's screen via scrcpy (ADB) — the device is a *source*; LedGrab itself runs on your desktop
- Configurable capture regions, FPS, and border width
- Capture templates for reusable configurations
- Reusable capture templates
### LED Device Support
- WLED (HTTP/UDP) with mDNS auto-discovery
- Adalight (serial) — Arduino-compatible LED controllers
- AmbileD (serial)
- DDP (Distributed Display Protocol, UDP)
- OpenRGB — PC peripherals (keyboard, mouse, RAM, fans, LED strips)
- Serial port auto-detection and baud rate configuration
LedGrab speaks many protocols, so a single setup can drive everything from a DIY strip to off-the-shelf smart bulbs:
![Device type picker](docs/screenshots/devices.PNG)
- **Network LED controllers** — WLED (HTTP/UDP, with mDNS auto-discovery), DDP (Pixelblaze, ESPixelStick, Falcon), Open Pixel Control (OPC), Art-Net / sACN (E1.31), ESP-NOW, and generic WebSocket streaming
- **Serial / direct hardware** — Adalight (Arduino-compatible), AmbiLED, SPI-attached strips (e.g. WS2812B), and USB HID controllers
- **Smart bulbs & panels** — Philips Hue (Entertainment API), Nanoleaf, Yeelight, WiZ, LIFX, and Govee (Wi-Fi LAN)
- **Bluetooth LE strips** — SP110E, Triones / HappyLighting, Zengge, and Govee BLE
- **PC peripherals** — OpenRGB, Razer Chroma, and SteelSeries GameSense (keyboards, mice, RAM, fans, etc.)
- **Device groups** — combine multiple devices into one logical target
- Serial port auto-detection and baud-rate configuration
### Color Processing
- Post-processing filter pipeline: brightness, gamma, saturation, color correction, auto-crop, frame interpolation, pixelation, flip
- Post-processing filter pipeline: brightness, gamma, saturation, color correction, auto-crop, frame interpolation, pixelation, flip, and more
- Reusable post-processing templates
- Color strip sources: audio-reactive, pattern generator, composite layering, audio-to-color mapping
- Color strip sources: audio-reactive, pattern generator, gradients, composite layering, and audio-to-color mapping
- Pattern templates with customizable effects
### Audio Integration
@@ -38,17 +60,20 @@ A Home Assistant integration exposes devices as entities for smart home automati
- Multichannel audio capture from any system device (input or loopback)
- WASAPI engine on Windows, Sounddevice (PortAudio) engine on Linux/macOS
- Per-channel mono extraction
- Audio-reactive color strip sources driven by frequency analysis
- Audio filter / processing pipeline feeding audio-reactive color sources driven by frequency analysis
### Automation
- Profile engine with condition-based switching (time of day, active window, etc.)
- Dynamic brightness value sources (schedule-based, scene-aware)
- Key Colors (KC) targets with live WebSocket color streaming
- Automations engine with condition-based rules — switch targets, scenes, or brightness by time of day, active window/process, MQTT, webhooks, or game events
- Scene presets for one-click lighting changes
- Dynamic value sources for brightness and other parameters (schedule-based, weather-based, scene-aware)
- Weather sources, clock sync, webhooks, and inbound/outbound HTTP endpoints
- Game integration adapters (e.g. League of Legends)
### Dashboard
- Web UI at `http://localhost:8080` — no installation needed on the client side
- Web UI at `http://localhost:8080` — nothing to install on the client side
- Visual node-graph editor for wiring sources → processing → targets
- Progressive Web App (PWA) — installable on phones and tablets with offline caching
- Responsive mobile layout with bottom tab navigation
- Device management with auto-discovery wizard
@@ -59,32 +84,56 @@ A Home Assistant integration exposes devices as entities for smart home automati
### Home Assistant Integration
- HACS-compatible custom component
- HACS-compatible custom component (separate repository)
- Light, switch, sensor, and number entities per device
- Real-time metrics via data coordinator
- Real-time metrics via a data coordinator
- WebSocket-based live LED preview in HA
## Requirements
## Platforms
- Python 3.11+ (or Docker)
- A supported LED device on the local network or connected via USB
- Windows, Linux, or macOS — all core features work cross-platform
LedGrab runs as a desktop / server application:
### Platform Notes
| Platform | Status | Notes |
| -------- | ------ | ----- |
| Windows | ✅ Supported | Installer (`.exe`) and portable ZIP; all capture/audio backends |
| Linux | ✅ Supported | Tarball and Docker image; X11 capture (Wayland in-container capture not supported) |
| macOS | ✅ Supported | Runs from source / Docker; MSS capture |
| Docker | ✅ Supported | Multi-arch container image |
| Android (TV) | ⚠️ Experimental | An on-device Android-TV build exists (APK attached to releases) but is emulator-verified only and **not officially supported** |
> **There is no production Android app.** Android phones are only supported as a *capture source* (via scrcpy/ADB) from a desktop host. The on-device Android-TV build is experimental.
### Feature support by OS
| Feature | Windows | Linux / macOS |
| ------- | ------- | ------------- |
| Screen capture | DXCam, BetterCam, WGC, MSS | MSS |
| Webcam capture | OpenCV (DirectShow) | OpenCV (V4L2) |
| Audio capture | WASAPI, Sounddevice | Sounddevice (PulseAudio/PipeWire) |
| GPU monitoring | NVIDIA (pynvml) | NVIDIA (pynvml) |
| Android capture | Scrcpy (ADB) | Scrcpy (ADB) |
| GPU monitoring | NVIDIA (nvidia-ml-py) | NVIDIA (nvidia-ml-py) |
| Capture from Android phone | scrcpy (ADB) | scrcpy (ADB) |
| Notification capture | WinRT | dbus (Linux) |
| Monitor names | Friendly names (WMI) | Generic ("Display 0") |
| Profile conditions | Process/window detection | Not yet implemented |
| Automation: window/process conditions | Supported | Partial |
## Requirements
- Python 3.11+ (or Docker)
- A supported LED device on the local network, connected via USB/serial, or reachable over Bluetooth
- Windows, Linux, or macOS
## Quick Start
### Docker (recommended)
### Prebuilt downloads
Grab a ready-to-run build from the [Releases page](https://git.dolgolyov-family.by/alexei.dolgolyov/ledgrab/releases):
- **Windows** — `LedGrab-<version>-setup.exe` (installer, no admin required) or `LedGrab-<version>-win-x64.zip` (portable)
- **Linux** — `LedGrab-<version>-linux-x64.tar.gz`
- **Docker** — see below
- **Android TV** — `.apk` (experimental, see [Platforms](#platforms))
### Docker (recommended for servers)
```bash
git clone https://git.dolgolyov-family.by/alexei.dolgolyov/ledgrab.git
@@ -115,11 +164,11 @@ export PYTHONPATH=$(pwd)/src # Linux/Mac
uvicorn ledgrab.main:app --host 0.0.0.0 --port 8080
```
Open **http://localhost:8080** to access the dashboard.
Open <http://localhost:8080> to access the dashboard.
> **Important:** The default API key is `development-key-change-in-production`. Change it before exposing the server outside localhost. See [INSTALLATION.md](INSTALLATION.md) for details.
> **Network access:** By default, LedGrab allows anonymous access only from `localhost`. Any request from another machine on your LAN is rejected unless you configure an API key (`auth.api_keys`). Set a key before exposing the server on your network — see [INSTALLATION.md](INSTALLATION.md).
See [INSTALLATION.md](INSTALLATION.md) for the full installation guide, including configuration, Docker manual builds, and Home Assistant setup.
See [INSTALLATION.md](INSTALLATION.md) for the full installation guide, including configuration, Docker manual builds, and CORS setup.
## Demo Mode
@@ -133,50 +182,9 @@ docker compose run -e LEDGRAB_DEMO=true server
# Python
LEDGRAB_DEMO=true uvicorn ledgrab.main:app --host 0.0.0.0 --port 8081
# Windows (installed app)
set LEDGRAB_DEMO=true
LedGrab.bat
```
Demo mode uses port **8081**, config file `config/demo_config.yaml`, and stores data in `data/demo/` (separate from production data). It can run alongside the main server.
## Architecture
```text
ledgrab/
├── server/ # Python FastAPI backend
│ ├── src/ledgrab/
│ │ ├── main.py # Application entry point
│ │ ├── config.py # YAML + env var configuration
│ │ ├── api/
│ │ │ ├── routes/ # REST + WebSocket endpoints
│ │ │ └── schemas/ # Pydantic request/response models
│ │ ├── core/
│ │ │ ├── capture/ # Screen capture, calibration, pixel processing
│ │ │ ├── capture_engines/ # MSS, DXCam, BetterCam, WGC, Scrcpy, Camera backends
│ │ │ ├── devices/ # WLED, Adalight, AmbileD, DDP, OpenRGB clients
│ │ │ ├── audio/ # Audio capture engines
│ │ │ ├── filters/ # Post-processing filter pipeline
│ │ │ ├── processing/ # Stream orchestration and target processors
│ │ │ └── profiles/ # Condition-based profile automation
│ │ ├── storage/ # JSON-based persistence layer
│ │ ├── static/ # Web dashboard (vanilla JS, CSS, HTML)
│ │ │ ├── js/core/ # API client, state, i18n, modals, events
│ │ │ ├── js/features/ # Feature modules (devices, streams, targets, etc.)
│ │ │ ├── css/ # Stylesheets
│ │ │ └── locales/ # en.json, ru.json, zh.json
│ │ └── utils/ # Logging, monitor detection
│ ├── config/ # default_config.yaml
│ ├── tests/ # pytest suite
│ ├── Dockerfile
│ └── docker-compose.yml
├── docs/
│ ├── API.md # REST API reference
│ └── CALIBRATION.md # LED calibration guide
├── INSTALLATION.md
└── LICENSE # MIT
```
Demo mode uses port **8081**, config file `config/demo_config.yaml`, and stores data under `data/demo/` (separate from production data). It can run alongside the main server.
## Configuration
@@ -187,14 +195,15 @@ server:
host: "0.0.0.0"
port: 8080
log_level: "INFO"
cors_origins:
- "http://localhost:8080"
auth:
api_keys:
dev: "development-key-change-in-production"
storage:
devices_file: "data/devices.json"
templates_file: "data/capture_templates.json"
# Empty (default) → loopback-only anonymous access; LAN requests are rejected.
# Add a key to enable LAN/remote access (generate one with: openssl rand -hex 32).
api_keys: {}
# api_keys:
# dev: "your-secret-key-here"
logging:
format: "json"
@@ -202,25 +211,26 @@ logging:
max_size_mb: 100
```
Environment variable override example: `LEDGRAB_SERVER__PORT=9090`.
- Application data is stored in a SQLite database (`data/ledgrab.db` by default). Set `LEDGRAB_DATA_DIR` to relocate the data root (database + assets).
- Environment variable override example: `LEDGRAB_SERVER__PORT=9090`.
See [INSTALLATION.md](INSTALLATION.md) and [`server/.env.example`](server/.env.example) for the full configuration reference.
## API
The server exposes a REST API (with Swagger docs at `/docs`) covering:
The server exposes a REST API (with interactive Swagger docs at `/docs`) plus WebSocket endpoints. Resources include:
- **Devices** — CRUD, discovery, validation, state, metrics
- **Capture Templates** — Screen capture configurations
- **Picture Sources** — Screen capture stream definitions
- **Picture Targets** — LED target management, start/stop processing
- **Post-Processing Templates** — Filter pipeline configurations
- **Color Strip Sources** — Audio, pattern, composite, mapped sources
- **Audio Sources** — Multichannel and mono audio device configuration
- **Pattern Templates** — Effect pattern definitions
- **Value Sources** — Dynamic brightness/value providers
- **Key Colors Targets** — KC targets with WebSocket live color stream
- **Profiles** — Condition-based automation profiles
- **Capture Templates** & **Picture Sources** — screen capture configuration and stream definitions
- **Output Targets** — LED target management, start/stop processing, live color stream
- **Post-Processing Templates** — filter pipeline configurations
- **Color Strip Sources**, **Pattern Templates**, **Gradients** — color generation
- **Audio Sources / Templates / Filters** — audio capture and reactive processing
- **Value Sources**, **Weather Sources**, **Scene Presets** — dynamic parameters and presets
- **Automations**, **Webhooks**, **HTTP Endpoints**, **Game Integration** — triggers and rules
- **MQTT** & **Home Assistant**broker sources and HA integration
All endpoints require API key authentication via `X-API-Key` header or `?token=` query parameter.
Authentication uses a Bearer token (`Authorization: Bearer <api-key>`) when API keys are configured; loopback requests are anonymous by default. WebSocket connections authenticate via a first-message handshake.
See [docs/API.md](docs/API.md) for the full reference.
@@ -253,16 +263,16 @@ ruff check src/ tests/
Optional extras:
```bash
pip install -e ".[perf]" # High-performance capture engines (Windows)
pip install -e ".[camera]" # Webcam capture via OpenCV
pip install -e ".[perf]" # High-performance capture engines (Windows: DXCam, BetterCam, WGC)
pip install -e ".[notifications]" # OS notification capture (WinRT / dbus)
pip install -e ".[scrcpy]" # Capture from an Android phone via scrcpy
pip install -e ".[ble]" # Bluetooth LE LED controllers (desktop only)
```
## Contributing
Contributions are welcome. LedGrab is MIT-licensed, so you're free to fork, modify, and self-host. Please open an issue or pull request on the [repository](https://git.dolgolyov-family.by/alexei.dolgolyov/ledgrab).
## License
MIT — see [LICENSE](LICENSE).
## Acknowledgments
- [WLED](https://github.com/Aircoookie/WLED) — LED control firmware
- [FastAPI](https://fastapi.tiangolo.com/) — Python web framework
- [MSS](https://python-mss.readthedocs.io/) — Cross-platform screen capture
MIT — see [LICENSE](LICENSE). Free and open source.
+120
View File
@@ -993,3 +993,123 @@ After phase 1 the codebase will have 3 fresh examples of "ping the LAN, listen f
- LOW: Nanoleaf `.port` property added; pair-then-create E2E test
added.
- Tests: 1379 pass (+21 regression tests).
## Graph editor — "full control of wiring via graph" (in progress)
Goal: make the visual graph a first-class wiring control surface, not just a
viewer. Driven by the ULTRA-DEEP review (findings A1A5, B1B6, C1C6, D1D6).
### Done (NOT yet committed — awaiting review/commit)
- [x] **A1** Undo/redo wired to connect/detach/move (was dead code); inverse ops
throw on failure so the stack can't silently desync.
- [x] **A2** Manual node layout persists to `localStorage` (`graph_node_positions`),
cleared on relayout.
- [x] **A3** Scene-preset disambiguation — deactivation scene now reachable via a
field picker (was always picking the first match).
- [x] **B6** Edge field labels (revealed on zoom ≥ 0.9).
- [x] **C3** Health overlay — broken refs (referrer exists, target missing),
dependency cycles, orphans; node warning badges + an issues toolbar button.
- [x] **D1** `GET /api/v1/graph/schema` — authoritative connectable-field registry
(`api/graph_schema.py`, pure + unit-tested).
- [x] **D2** `GET /api/v1/graph` (nodes+edges+validation) and
`GET /api/v1/graph/dependents/{kind}/{id}`.
- [x] **D4** `POST /api/v1/graph/validate-connection` — existence + source-kind +
cycle pre-flight; frontend validates before every write (fails open if the
endpoint is unreachable). List/double-nested fields rejected.
- [x] **B2** Drop-on-node connect — empty top-level slots are now wireable (drop a
source onto any compatible node body, not just an existing port).
- [x] **C4** Overwrite-occupied-slot confirm + delete-with-dependents warning
(single delete only; bulk keeps the batch confirm).
- [x] **D5** Create-and-connect — drag a port onto empty canvas → pick a compatible
new entity kind → it's created and auto-wired (kind-scoped watcher).
- [x] **D6 (read-only half)** "Export graph (JSON)" toolbar action.
- [x] Custom per-entity `icon` + `icon_color` now render on graph nodes (parity
with custom node colours; fallback to kind/subtype glyph).
- [x] **B1** Edit single-level **BindableFloat** value slots from the graph
(`brightness`, `smoothing`, `intensity`, `scale`, `speed`, … on
color_strip_source; `brightness`/`transition` on output_target). Subtype-safe
(only offers slots the target entity actually has). Writes the partial
`{ <slot>: { source_id } }` payload → backend `Bindable*.apply_update` merges,
preserving the static value. Verified data-safe (no `from_raw`/value-reset path).
- [x] Render the two functional value-source references `buildGraph` was missing —
`value_source.value_source_id` (gradient_map → inner value source) and
`value_source.color_strip_source_id` (css_extract → strip). Both are runtime-
resolved and already drag-editable; now visible/detachable in the graph.
- [x] **B4 foundation:** backend schema now authoritative about graph-editability
(`is_editable()` + `editable` flag in `/graph/schema`); `validate-connection`
hardened to reject non-editable fields (colour/list/double-nested), not just lists.
- [x] **B4 drift guard + gap fixes:** `checkSchemaDrift()` (graph-connections.ts) warns
once if the frontend `CONNECTION_MAP` editable set diverges from `/graph/schema`
(the automated "10-step checklist"). Surfacing it found 3 real gaps; fixed 2:
`color_strip_source.input_source_id` + `processing_template_id` are now drag-editable
(processed-strip wiring; `apply_update` is partial-safe). The 3rd —
`device.default_css_processing_template_id` — is intentionally NOT drag-editable
(the device PUT route isn't partial-safe; a one-field PUT could null the URL) and is
in the drift-check exclude set. Also broadened `_availableMatches` to hide any slot
the target entity doesn't expose (subtype-accurate; refs are always-emitted so empty
slots stay wireable). Review also caught a **dead `output_target.picture_source_id`
slot** (no output target stores it — not a field/schema, never emitted) — removed
from both registries + `buildGraph`.
- [x] **Comprehensive review pass (4 subagents: backend/frontend-core/orchestrator/security).**
Findings fixed:
- **CRITICAL (security):** `GET /api/v1/graph` leaked plaintext **webhook tokens**
(`asdict` recursed `Automation.rules[].token`, an auth-equivalent secret). Fixed with
**field-projection** — `serialize_entity_for_graph()` / `graph_field_roots()` project
each entity to only `{id, name, subtype, reference-roots}`; secrets can't survive.
Added a structural regression test asserting no projection root is secret-bearing for
any kind (drift-proof boundary) + a token-drop test.
- MEDIUM: added missing `value_source.clock_id` (AnimatedColorValueSource → sync_clock)
to the backend registry for topology/dependents completeness (drift-excluded on the
frontend — value-source PUT needs a `source_type` discriminator, so it's editor-only).
- MEDIUM/LOW: `CSS.escape` on the markIssues id selector; grouped/clarified
`_DRIFT_EXCLUDE`; fixed the stale `_availableMatches` JSDoc; documented the
`checkSchemaDrift` forward-reference. Orchestrator + frontend-core + security: APPROVE.
- Verification: `npm --prefix server run typecheck` + `run build` clean; ruff clean;
graph backend tests 35 pass; full backend suite green. ~8 code-review passes,
all CRITICAL/HIGH findings fixed.
### Left to do (deferred)
- [x] **BindableColor slots** — CHECKED, decision: keep read-only (won't fix).
Value sources are scalar-only (`ValueStream.get_value() -> float`) and every
colour consumer (`color_strip/single.py`, `effect_stream.py`) reads the static
RGB via `bcolor()`, ignoring `source_id`. So a value_source cannot drive a
colour — wiring `color`/`color_peak`/… would be a dead binding. Documented in
`api/graph_schema.py` next to the BindableColor entries. (Would only become
viable if a colour-producing value-source type is added.)
- [~] **B4 — delete the frontend `CONNECTION_MAP` duplication.**
- [x] **Foundation done:** the backend schema now carries an authoritative
`editable` flag per field (`is_editable()` in `api/graph_schema.py`, mirroring
the frontend `_isEditable`: top-level refs + single-level BindableFloat slots;
NOT colour/list/double-nested). `validate-connection` is hardened to reject any
non-editable field (was list-only). `editable` is surfaced in `/graph/schema`.
- [ ] **Remaining (the refactor):** frontend fetches `/graph/schema` on load and
derives connection metadata + edges from it (port the `extract_refs` dot-path/list
grammar to TS), keeping only a tiny `kind → {endpoint, cache}` write-routing table;
then delete the field-level `CONNECTION_MAP` + the `buildGraph` edge loops
(graph-connections.ts / graph-layout.ts). Removes the 10-step sync checklist in
`contexts/graph-editor.md`. **A backend apply-write endpoint is NOT required** —
keep the proven per-entity PUT. Risk: regressing drag-connect/bindable; keep a
dev drift-check (frontend editable set vs `/graph/schema`) during the transition.
Note: frontend `CONNECTION_MAP` also has inert `ha_source_id`/`gradient_id` entries
(no graph node kind) — drop them, the backend schema already omits them.
- [ ] **D6 — blueprint import/instantiate.** Export exists; the apply half (serialize
a selected subgraph's topology + entities, re-import with id remapping, conflict
handling) is large and data-integrity-sensitive (see Data Migration Policy in
CLAUDE.md). Scope as its own feature.
- [ ] **List-slot editing** (composite `layers[]`, mapped `zones[]`, scene preset
`targets[]`) — needs an element index in the write + validate paths
(`validate_connection` currently rejects list fields). Edit via entity modal
for now.
### Notes / decisions
- The backend `CONNECTION_SCHEMA` (`api/graph_schema.py`) is the authoritative
superset; it already declares the bindable + list + value_source-chain edges. The
frontend `CONNECTION_MAP` still owns write-routing (endpoint/cache) — that's the
only reason it survives (see B4).
- Bindable edges render dashed (`.graph-edge-nested`) but ARE editable — the dashed
style intentionally distinguishes value bindings from structural edges.
- `validate-connection` and `dependents` fail **open/safe** on the frontend so the
graph keeps working against an older server without these endpoints.
+8
View File
@@ -39,6 +39,14 @@
<!-- POST_NOTIFICATIONS for Android 13+ foreground service notification -->
<uses-permission android:name="android.permission.POST_NOTIFICATIONS" />
<!-- RECORD_AUDIO for on-device system-playback capture (AudioPlaybackCapture,
API 29+) feeding audio-reactive lighting. Runtime "dangerous" permission,
requested in MainActivity; capture degrades gracefully when denied.
Playback capture runs under the existing mediaProjection FGS type, so no
FOREGROUND_SERVICE_MICROPHONE / microphone FGS type is needed (that would
only be required if the mic-fallback path ran inside the service). -->
<uses-permission android:name="android.permission.RECORD_AUDIO" />
<!-- Autostart on boot — BootReceiver spawns CaptureService in root
mode so capture resumes without the user touching the remote. -->
<uses-permission android:name="android.permission.RECEIVE_BOOT_COMPLETED" />
@@ -0,0 +1,234 @@
package com.ledgrab.android
import android.annotation.SuppressLint
import android.media.AudioAttributes
import android.media.AudioFormat
import android.media.AudioPlaybackCaptureConfiguration
import android.media.AudioRecord
import android.media.MediaRecorder
import android.media.projection.MediaProjection
import android.os.Build
import android.util.Log
import java.nio.ByteBuffer
import java.nio.ByteOrder
/**
* Captures audio with [AudioRecord] and pushes interleaved float32 PCM to
* the LedGrab Python server via [PythonBridge], where the
* `android_audio_engine` feeds it into the unchanged audio-analysis
* pipeline.
*
* Two sources:
* - [start] — system playback capture via `AudioPlaybackCapture` (API 29+),
* reusing the same [MediaProjection] token the app already holds for
* screen capture. This is the primary path on the consent flow.
* - [startMic] — microphone fallback (`AudioSource.MIC`) for paths with no
* MediaProjection (root mode) or API < 29.
*
* Mirrors [ScreenCapture]'s shape: a dedicated capture thread, a single
* reusable cross-JNI buffer (no per-block allocation → no GC churn on
* low-end TV boxes), and graceful teardown in [stop].
*
* The capture format is negotiated by [AudioRecord]; the **actual**
* channel count and sample rate are read back and forwarded to
* `configureAudio` so the Python analyzer's interleaving matches the bytes
* we push (e.g. a stereo request that the device satisfies as mono).
*/
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,
) {
companion object {
private const val TAG = "AudioCapture"
private const val BYTES_PER_FLOAT = 4
}
private var audioRecord: AudioRecord? = null
private var captureThread: Thread? = null
@Volatile private var running = false
/**
* Start system playback capture (API 29+). Requires the app to hold
* RECORD_AUDIO and a valid [projection]. Returns true if capture began.
*/
@SuppressLint("MissingPermission")
fun start(): Boolean {
if (running) return true
if (Build.VERSION.SDK_INT < Build.VERSION_CODES.Q) {
Log.i(TAG, "Playback capture needs API 29+; skipping (have ${Build.VERSION.SDK_INT})")
return false
}
val proj = projection
if (proj == null) {
Log.i(TAG, "No MediaProjection; playback capture unavailable")
return false
}
val config = AudioPlaybackCaptureConfiguration.Builder(proj)
.addMatchingUsage(AudioAttributes.USAGE_MEDIA)
.addMatchingUsage(AudioAttributes.USAGE_GAME)
.addMatchingUsage(AudioAttributes.USAGE_UNKNOWN)
.build()
val record = try {
AudioRecord.Builder()
.setAudioFormat(audioFormat())
.setBufferSizeInBytes(bufferBytes())
.setAudioPlaybackCaptureConfig(config)
.build()
} catch (e: Exception) {
Log.e(TAG, "Failed to build playback AudioRecord: ${e.message}")
return false
}
return begin(record, "playback")
}
/**
* Start microphone capture (fallback). Works on API 24+ and needs no
* MediaProjection. Requires RECORD_AUDIO. Returns true if capture began.
*
* ⚠️ SECURITY/POLICY: currently UNWIRED (no caller). Microphone capture is
* a materially different posture than playback capture — it records real
* room audio (bystander voices). Before wiring this into [CaptureService]:
* - add FOREGROUND_SERVICE_MICROPHONE permission + the `microphone` FGS
* type (on API 34+ the service is killed without it), and
* - add the Play Store privacy disclosure for microphone use,
* - re-trigger a security review.
* Do NOT call this from inside the foreground service without the above.
*/
@SuppressLint("MissingPermission")
fun startMic(): Boolean {
if (running) return true
val record = try {
AudioRecord.Builder()
.setAudioSource(MediaRecorder.AudioSource.MIC)
.setAudioFormat(audioFormat())
.setBufferSizeInBytes(bufferBytes())
.build()
} catch (e: Exception) {
Log.e(TAG, "Failed to build mic AudioRecord: ${e.message}")
return false
}
return begin(record, "mic")
}
/** Stop capturing and release all resources. Idempotent. */
fun stop() {
running = false
// AudioRecord.stop() unblocks a pending READ_BLOCKING read within
// milliseconds, so the loop sees running=false and returns well inside
// the 500ms join window — release() below won't race a live read.
// (Mirrors ScreenCapture's bounded join.)
runCatching { audioRecord?.stop() }
captureThread?.let { runCatching { it.join(500) } }
captureThread = null
runCatching { audioRecord?.release() }
audioRecord = null
runCatching { bridge.shutdownAudio() }
Log.i(TAG, "Audio capture stopped")
}
// ── internals ──────────────────────────────────────────────────────
private fun begin(record: AudioRecord, mode: String): Boolean {
if (record.state != AudioRecord.STATE_INITIALIZED) {
Log.e(TAG, "AudioRecord ($mode) failed to initialize")
runCatching { record.release() }
return false
}
val actualChannels = record.channelCount.coerceAtLeast(1)
val actualRate = record.sampleRate
// Confirm recording actually started before reporting success —
// startRecording() can throw (exclusive-capture contention) or
// leave the record in a non-recording state, in which case read()
// would only ever return errors.
val started = runCatching { record.startRecording() }.isSuccess &&
record.recordingState == AudioRecord.RECORDSTATE_RECORDING
if (!started) {
Log.e(TAG, "AudioRecord ($mode) failed to start recording")
runCatching { record.release() }
return false
}
// Recording confirmed — tell Python the real negotiated format
// before frames flow, so the analyzer's channel/sample-rate match
// the interleaving we push.
bridge.configureAudio(actualRate, actualChannels, chunkFrames)
audioRecord = record
running = true
captureThread = Thread(
{ captureLoop(record, actualChannels) },
"LedGrab-AudioCapture",
).also { it.start() }
Log.i(TAG, "Audio capture started ($mode, sr=$actualRate ch=$actualChannels chunk=$chunkFrames)")
return true
}
/**
* Blocking read loop. Accumulates into fixed `chunkFrames * channels`
* float blocks and pushes only COMPLETE blocks — [AudioRecord.read]
* returns a variable count, so partial reads are stitched here rather
* than handed to Python as ragged chunks (the analyzer requires
* whole-frame, ≤ chunk-size blocks).
*/
private fun captureLoop(record: AudioRecord, actualChannels: Int) {
val blockFloats = chunkFrames * actualChannels
val floatBuf = FloatArray(blockFloats)
// Reusable little-endian byte buffer — Python copies on push, so the
// same backing array is safe to overwrite next block. Default
// ByteBuffer order is BIG_ENDIAN, which would corrupt every sample;
// LITTLE_ENDIAN matches numpy's native float32 on all Android ABIs.
val byteBuf = ByteArray(blockFloats * BYTES_PER_FLOAT)
val floatView = ByteBuffer.wrap(byteBuf).order(ByteOrder.LITTLE_ENDIAN).asFloatBuffer()
var filled = 0
while (running) {
val n = record.read(floatBuf, filled, blockFloats - filled, AudioRecord.READ_BLOCKING)
if (n < 0) {
if (running) {
// A negative read (e.g. ERROR_DEAD_OBJECT after an audio-route
// change, ERROR_INVALID_OPERATION) means this AudioRecord is
// finished. Deactivate the Python engine so is_available() stops
// advertising a dead stream and the audio-reactive consumer isn't
// left polling an empty queue forever. We're on the capture thread,
// so we can't call stop() (it would self-join) — just flip running
// and shut the engine down; onDestroy's stop() releases the record.
Log.w(TAG, "AudioRecord.read error: $n — stopping audio capture")
running = false
runCatching { bridge.shutdownAudio() }
}
break
}
filled += n
if (filled < blockFloats) continue
floatView.clear()
floatView.put(floatBuf, 0, blockFloats)
bridge.pushAudio(byteBuf)
filled = 0
}
}
private fun channelMask(): Int =
if (channels >= 2) AudioFormat.CHANNEL_IN_STEREO else AudioFormat.CHANNEL_IN_MONO
private fun audioFormat(): AudioFormat =
AudioFormat.Builder()
.setEncoding(AudioFormat.ENCODING_PCM_FLOAT)
.setSampleRate(sampleRate)
.setChannelMask(channelMask())
.build()
private fun bufferBytes(): Int {
val minBuf = AudioRecord.getMinBufferSize(sampleRate, channelMask(), AudioFormat.ENCODING_PCM_FLOAT)
// A few blocks of headroom so a slow consumer doesn't overrun the
// hardware buffer between reads.
val want = chunkFrames * channels * BYTES_PER_FLOAT * 4
return if (minBuf > 0) maxOf(minBuf, want) else want
}
}
@@ -4,9 +4,11 @@ import android.app.Notification
import android.app.NotificationChannel
import android.app.NotificationManager
import android.app.PendingIntent
import android.Manifest
import android.app.Service
import android.content.Context
import android.content.Intent
import android.content.pm.PackageManager
import android.content.pm.ServiceInfo
import android.media.projection.MediaProjection
import android.media.projection.MediaProjectionManager
@@ -85,6 +87,7 @@ class CaptureService : Service() {
private var bridge: PythonBridge? = null
private var screenCapture: ScreenCapture? = null
private var rootCapture: RootScreenrecord? = null
private var audioCapture: AudioCapture? = null
private var mediaProjection: MediaProjection? = null
// Service-scoped coroutine scope for the root-capture watchdog.
@@ -338,6 +341,25 @@ class CaptureService : Service() {
onProjectionStopped = { stopSelf() },
).also { it.start() }
// Reuse the same projection to capture system playback audio so
// audio-reactive lighting works on-device (API 29+, RECORD_AUDIO
// granted). Best-effort: screen capture and the server keep running
// if audio is unavailable. Started AFTER ScreenCapture so the
// projection's callback is already registered.
if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.Q &&
checkSelfPermission(Manifest.permission.RECORD_AUDIO) ==
PackageManager.PERMISSION_GRANTED
) {
audioCapture = AudioCapture(projection, newBridge).also { ac ->
if (!ac.start()) {
Log.i(TAG, "Playback audio capture unavailable — continuing without audio")
audioCapture = null
}
}
} else {
Log.i(TAG, "RECORD_AUDIO not granted or API < 29 — audio-reactive capture disabled")
}
Log.i(TAG, "LedGrab service started (MediaProjection) — web UI at $url")
}
@@ -351,6 +373,10 @@ class CaptureService : Service() {
screenCapture?.stop()
screenCapture = null
// Stop audio before the server: stop() calls bridge.shutdownAudio().
audioCapture?.stop()
audioCapture = null
rootCapture?.stop()
rootCapture = null
@@ -53,6 +53,7 @@ class MainActivity : Activity() {
private const val SERVER_PORT = 8080
private const val REQUEST_MEDIA_PROJECTION = 1001
private const val REQUEST_POST_NOTIFICATIONS = 1002
private const val REQUEST_RECORD_AUDIO = 1003
private const val QR_SIZE_PX = 560
}
@@ -215,6 +216,7 @@ class MainActivity : Activity() {
private fun startCaptureService(resultCode: Int, resultData: Intent) {
ensureNotificationPermission()
ensureAudioPermission()
val intent = CaptureService.createIntent(this, resultCode, resultData)
ContextCompat.startForegroundService(this, intent)
updateUI()
@@ -471,4 +473,24 @@ class MainActivity : Activity() {
}
}
}
/**
* Request RECORD_AUDIO (API 29+) so the capture service can capture
* system playback audio for audio-reactive lighting. Fire-and-forget,
* like [ensureNotificationPermission]: capture still works without it
* (just no audio), so we don't block on the result. If first granted
* here, audio becomes available on the next Start.
*/
private fun ensureAudioPermission() {
if (Build.VERSION.SDK_INT < Build.VERSION_CODES.Q) return
if (checkSelfPermission(Manifest.permission.RECORD_AUDIO)
!= PackageManager.PERMISSION_GRANTED
) {
@Suppress("DEPRECATION")
requestPermissions(
arrayOf(Manifest.permission.RECORD_AUDIO),
REQUEST_RECORD_AUDIO,
)
}
}
}
@@ -28,6 +28,7 @@ class PythonBridge(private val context: Context) {
// single-writer/single-reader pattern we have here.
@Volatile private var mediaProjectionEngine: PyObject? = null
@Volatile private var rootEngine: PyObject? = null
@Volatile private var androidAudioEngine: PyObject? = null
/**
* Configure the MediaProjection engine with screen dimensions.
@@ -53,6 +54,49 @@ class PythonBridge(private val context: Context) {
Log.i(TAG, "Root screenrecord engine configured: ${width}x${height}")
}
/**
* Configure the Android playback-capture audio engine with the format
* actually negotiated by [AudioCapture]'s `AudioRecord`. Must be called
* before [pushAudio]. Caches the module handle for the per-block fast
* path (same pattern as [configureCapture]).
*/
fun configureAudio(sampleRate: Int, channels: Int, chunkFrames: Int) {
val py = Python.getInstance()
val engine = py.getModule("ledgrab.core.audio.android_audio_engine")
engine.callAttr("configure", sampleRate, channels, chunkFrames)
androidAudioEngine = engine
Log.i(TAG, "Android audio engine configured: sr=$sampleRate ch=$channels chunk=$chunkFrames")
}
/**
* Push one interleaved little-endian float32 PCM block to the Python
* audio engine. Called from [AudioCapture]'s capture thread. The byte
* array crosses the JNI boundary; Python copies it on receipt, so the
* caller may reuse the same buffer for the next block.
*/
fun pushAudio(pcmFloat32: ByteArray) {
if (!running) return
val engine = androidAudioEngine ?: return
try {
engine.callAttr("push_samples", pcmFloat32)
} catch (e: Exception) {
Log.w(TAG, "Failed to push audio: ${e.message}")
}
}
/**
* Deactivate the Python audio engine. Called from [AudioCapture.stop].
*/
fun shutdownAudio() {
val engine = androidAudioEngine ?: return
try {
engine.callAttr("shutdown")
} catch (e: Exception) {
Log.w(TAG, "Failed to shut down audio engine: ${e.message}")
}
androidAudioEngine = null
}
/**
* Start the LedGrab FastAPI server on a background thread.
*
+3 -2
View File
@@ -56,9 +56,10 @@ SetCompressor /SOLID lzma
; ── Functions ─────────────────────────────────────────────
Function LaunchApp
; Only launch the app — do NOT open the browser here. A manual launch (no
; --autostart) makes the app open the WebUI itself once /health responds,
; so opening the URL here too made the page appear twice.
ExecShell "open" "wscript.exe" '"$INSTDIR\scripts\${VBSNAME}"'
Sleep 2000
ExecShell "open" "http://localhost:8080/"
FunctionEnd
; Detect running instance before install (file lock check on python.exe)
+605 -289
View File
@@ -1,335 +1,651 @@
# LedGrab API Documentation
# LedGrab API Reference
Complete REST API reference for the LedGrab server.
Complete REST + WebSocket API reference for the LedGrab server.
**Base URL:** `http://localhost:8080`
**API Version:** v1
- **Base URL:** `http://localhost:8080`
- **API version:** `v1` (all REST paths are under `/api/v1`, except `/health`)
- **Interactive docs:** Swagger UI at [`/docs`](http://localhost:8080/docs), ReDoc at [`/redoc`](http://localhost:8080/redoc), raw schema at [`/openapi.json`](http://localhost:8080/openapi.json). The interactive docs are always the authoritative, up-to-date source for request/response schemas — this file is a hand-maintained overview.
> The application version is reported by `GET /api/v1/version`; this document is version-agnostic.
---
## Table of Contents
- [Health & Info](#health--info)
- [Device Management](#device-management)
- [Processing Control](#processing-control)
- [Settings Management](#settings-management)
- [Calibration](#calibration)
- [Metrics](#metrics)
- [Authentication](#authentication)
- [Conventions](#conventions)
- [WebSocket protocol](#websocket-protocol)
- [Worked examples](#worked-examples)
- **Endpoint reference**
- [Health & system info](#health--system-info)
- [System settings](#system-settings)
- [User preferences](#user-preferences)
- [Backup, restore & server control](#backup-restore--server-control)
- [Updates](#updates)
- [Snapshot](#snapshot)
- [Devices](#devices)
- [Capture templates, engines & filters](#capture-templates-engines--filters)
- [Picture sources](#picture-sources)
- [Post-processing templates](#post-processing-templates)
- [Output targets](#output-targets)
- [Output target control & live preview](#output-target-control--live-preview)
- [Color strip sources](#color-strip-sources)
- [Color strip processing templates](#color-strip-processing-templates)
- [Pattern templates](#pattern-templates)
- [Gradients](#gradients)
- [Audio devices](#audio-devices)
- [Audio sources](#audio-sources)
- [Audio templates & engines](#audio-templates--engines)
- [Audio processing templates](#audio-processing-templates)
- [Audio filters](#audio-filters)
- [Value sources](#value-sources)
- [Weather sources](#weather-sources)
- [Automations](#automations)
- [Scene presets](#scene-presets)
- [Sync clocks](#sync-clocks)
- [Webhooks](#webhooks)
- [HTTP endpoints](#http-endpoints)
- [Game integration](#game-integration)
- [Home Assistant](#home-assistant)
- [MQTT sources](#mqtt-sources)
- [Assets](#assets)
- [Graph wiring](#graph-wiring)
- [Web UI & PWA](#web-ui--pwa)
---
## Health & Info
## Authentication
### GET /health
LedGrab uses API-key authentication. The behavior depends on whether any keys are configured under `auth.api_keys` (see [INSTALLATION.md](../INSTALLATION.md)):
Health check endpoint.
| Situation | Loopback (`127.0.0.1` / `::1` / `localhost`) | LAN / remote |
| --------- | -------------------------------------------- | ------------ |
| **No keys configured** (default) | Allowed anonymously | **Rejected with `401`** |
| **Keys configured** | Valid Bearer token required | Valid Bearer token required |
Pass the key as a Bearer token:
```http
Authorization: Bearer <your-api-key>
```
A few **sensitive endpoints require a real API key even from localhost** (they reject the loopback-anonymous identity): the backup download/restore endpoints, and any endpoint that reveals stored secrets (e.g. `GET /api/v1/home-assistant/sources?include_secrets=true`). Configure a key to use those.
WebSocket endpoints authenticate with a [first-message handshake](#websocket-protocol) rather than the `Authorization` header.
---
## Conventions
- **Content type:** request and response bodies are JSON (`application/json`) unless noted (file uploads use `multipart/form-data`; some endpoints stream binary or file responses).
- **Errors:** failures return the standard FastAPI shape with an HTTP status code and a body of `{"detail": "<message>"}`. Validation errors return `422` with a structured `detail` array.
- **IDs:** entities are addressed by string IDs (e.g. `dev_…`, `ot_…`, `css_…`) generated on creation.
- **Common create/update fields:** most configurable entities accept `name`, `description`, `tags` (string array), and UI styling fields `icon` and `icon_color`.
- **Referential integrity:** deleting an entity that is still referenced (e.g. a device used by an output target) returns `409 Conflict`.
- **Timestamps:** ISO-8601 UTC strings.
---
## WebSocket protocol
All WebSocket endpoints share the same auth handshake:
1. The client connects. The server accepts the socket.
2. The client sends a JSON auth message as the **first** message, within ~3 seconds: `{"type": "auth", "token": "<your-api-key>"}`. On loopback with no keys configured, `token` may be `null` or the message omitted.
3. The server replies `{"type": "auth_ok"}` on success, or `{"type": "auth_error", "reason": "..."}` then closes (close code `4401`) on failure. A cross-site `Origin` is rejected with close code `4403`.
Browser clients must connect from an allowed `cors_origins` origin. After `auth_ok`, the stream payload depends on the endpoint (JSON event objects, JSON spectrum/metric frames, or binary RGB frames — see each endpoint's description).
The WebSocket endpoints are listed within their resource sections below (method `WS`).
---
## Worked examples
> Example values are illustrative.
**Health check**`GET /health` (no auth on loopback):
**Response:**
```json
{
"status": "healthy",
"timestamp": "2026-02-06T12:00:00Z",
"version": "0.1.0"
"timestamp": "2026-05-29T12:00:00Z",
"version": "0.8.1",
"demo_mode": false,
"auth_required": false,
"setup_required": false,
"uptime_seconds": 3600
}
```
### GET /api/v1/version
**Create a WLED device**`POST /api/v1/devices`:
Get version information.
**Response:**
```json
{
"version": "0.1.0",
"python_version": "3.11.0",
"api_version": "v1"
}
```
### GET /api/v1/config/displays
List available displays for screen capture.
**Response:**
```json
{
"displays": [
{
"index": 0,
"name": "Display 1",
"width": 1920,
"height": 1080,
"is_primary": true
}
],
"count": 1
}
```
---
## Device Management
### POST /api/v1/devices
Create and attach a new WLED device.
**Request:**
```json
{
"name": "Living Room TV",
"url": "http://192.168.1.100",
"device_type": "wled",
"led_count": 150
}
```
**Response:** `201 Created`
Response `201 Created` returns the stored device, including its generated `id`. (For Adalight, send `device_type: "adalight"`, the serial `url` like `COM3` or `/dev/ttyUSB0`, `led_count`, and `baud_rate`. Each device type accepts its own fields — see `/docs`.)
**Start / stop a target**`POST /api/v1/output-targets/{target_id}/start`:
```json
{
"id": "device_abc123",
"name": "Living Room TV",
"url": "http://192.168.1.100",
"led_count": 150,
"enabled": true,
"status": "disconnected",
"settings": {
"display_index": 0,
"fps": 30,
"border_width": 10
},
"calibration": {
"layout": "clockwise",
"start_position": "bottom_left",
"segments": [...]
},
"created_at": "2026-02-06T12:00:00Z",
"updated_at": "2026-02-06T12:00:00Z"
}
{ "status": "started", "target_id": "ot_abc123" }
```
### GET /api/v1/devices
**Authenticated request with a configured key:**
List all attached devices.
**Response:**
```json
{
"devices": [...],
"count": 2
}
```
### GET /api/v1/devices/{device_id}
Get device details.
**Response:** Same as POST response
### PUT /api/v1/devices/{device_id}
Update device information.
**Request:**
```json
{
"name": "Updated Name",
"enabled": true
}
```
### DELETE /api/v1/devices/{device_id}
Delete/detach a device.
**Response:** `204 No Content`
---
## Processing Control
### POST /api/v1/devices/{device_id}/start
Start screen processing for a device.
**Response:**
```json
{
"status": "started",
"device_id": "device_abc123"
}
```
### POST /api/v1/devices/{device_id}/stop
Stop screen processing.
**Response:**
```json
{
"status": "stopped",
"device_id": "device_abc123"
}
```
### GET /api/v1/devices/{device_id}/state
Get current processing state.
**Response:**
```json
{
"device_id": "device_abc123",
"processing": true,
"fps_actual": 29.8,
"fps_target": 30,
"display_index": 0,
"last_update": "2026-02-06T12:00:00Z",
"errors": []
}
```bash
curl -H "Authorization: Bearer your-api-key" \
http://localhost:8080/api/v1/devices
```
---
## Settings Management
## Endpoint reference
### GET /api/v1/devices/{device_id}/settings
## Health & system info
Get processing settings.
Health checks, version information, displays, system metrics, and integration status.
**Response:**
```json
{
"display_index": 0,
"fps": 30,
"brightness": 1.0,
"smoothing": 0.3,
"interpolation_mode": "average",
"standby_interval": 1.0,
"state_check_interval": 30
}
```
| Method | Path | Description |
| ------ | ---- | ----------- |
| GET | `/health` | Service health: status, version, uptime, and whether auth/setup is required. |
| GET | `/api/v1/version` | Application version, Python version, and API version. |
| GET | `/api/v1/tags` | All tags used across every entity in the system. |
| GET | `/api/v1/config/displays` | Available displays/monitors for screen capture (optional `engine_type` query, e.g. `scrcpy`). |
| GET | `/api/v1/system/processes` | Running process names, for use in automation conditions. |
| GET | `/api/v1/system/performance` | Current CPU, RAM, and GPU utilization metrics. |
| GET | `/api/v1/system/metrics-history` | Last ~2 minutes of system and per-target metrics for dashboard charts. |
| GET | `/api/v1/system/api-keys` | API-key labels with masked values (read-only; keys live in YAML config). |
| GET | `/api/v1/system/integrations-status` | Connection status for MQTT and Home Assistant integrations. |
### PUT /api/v1/devices/{device_id}/settings
## System settings
Update processing settings.
Server configuration: MQTT broker, external URL, shutdown action, log level, ADB connection, and live log streaming.
**Request:**
```json
{
"display_index": 1,
"fps": 60,
"brightness": 0.8
}
```
| Method | Path | Description |
| ------ | ---- | ----------- |
| GET | `/api/v1/system/mqtt/settings` | Current MQTT broker settings (password masked). |
| PUT | `/api/v1/system/mqtt/settings` | Update MQTT broker settings (empty password preserves existing). |
| GET | `/api/v1/system/external-url` | Configured external base URL. |
| PUT | `/api/v1/system/external-url` | Set the external base URL for webhooks and user-visible links. |
| GET | `/api/v1/system/shutdown-action` | Configured server shutdown action (`stop_targets` or `nothing`). |
| PUT | `/api/v1/system/shutdown-action` | Set what happens to targets when the server shuts down. |
| WS | `/api/v1/system/logs/ws` | Live server log stream with a buffered backlog. |
| POST | `/api/v1/adb/connect` | Connect to a Wi-Fi ADB device by IP (auto-appends `:5555`). |
| POST | `/api/v1/adb/disconnect` | Disconnect a Wi-Fi ADB device. |
| GET | `/api/v1/system/log-level` | Current root logger level. |
| PUT | `/api/v1/system/log-level` | Change the log level at runtime without restart. |
## User preferences
Dashboard layout, notification settings, card display modes, and the global daylight timezone.
| Method | Path | Description |
| ------ | ---- | ----------- |
| GET | `/api/v1/preferences/dashboard-layout` | Read the saved dashboard layout (empty when unset). |
| PUT | `/api/v1/preferences/dashboard-layout` | Save the dashboard layout (opaque versioned JSON blob). |
| DELETE | `/api/v1/preferences/dashboard-layout` | Delete the saved layout; revert to default. |
| GET | `/api/v1/preferences/notifications` | Read notification preferences (server defaults when unset). |
| PUT | `/api/v1/preferences/notifications` | Persist notification preferences (channels, discovery, grace/debounce). |
| GET | `/api/v1/preferences/card-modes` | Read per-surface card-mode preferences. |
| PUT | `/api/v1/preferences/card-modes` | Save per-surface card modes (comfortable/compact/dense/row). |
| DELETE | `/api/v1/preferences/card-modes` | Delete card-mode preferences; revert to defaults. |
| GET | `/api/v1/preferences/daylight-timezone` | Read the global IANA timezone for daylight cycles. |
| PUT | `/api/v1/preferences/daylight-timezone` | Persist the daylight-cycle timezone (empty = server local). |
## Backup, restore & server control
Database backup/restore, server restart/shutdown, and auto-backup management.
| Method | Path | Description |
| ------ | ---- | ----------- |
| GET | `/api/v1/system/backup` | Download a full backup `.zip` (database + assets). 🔒 requires a key. |
| POST | `/api/v1/system/restore` | Upload a `.db`/`.zip` backup to restore config and trigger a restart. 🔒 requires a key. |
| POST | `/api/v1/system/restart` | Schedule a server restart and return immediately. |
| POST | `/api/v1/system/shutdown` | Gracefully shut down the server. |
| GET | `/api/v1/system/auto-backup/settings` | Auto-backup settings and status (enabled, interval, retention, last/next). |
| PUT | `/api/v1/system/auto-backup/settings` | Update auto-backup settings. |
| POST | `/api/v1/system/auto-backup/trigger` | Trigger a backup now and return its metadata. |
| GET | `/api/v1/system/backups` | List saved auto-backup files. |
| GET | `/api/v1/system/backups/{filename}` | Download a specific saved backup file. |
| DELETE | `/api/v1/system/backups/{filename}` | Delete a specific saved backup file. |
> 🔒 = requires a real API key even from localhost (rejects loopback-anonymous access).
## Updates
Auto-update management: check, apply, dismiss, and configure.
| Method | Path | Description |
| ------ | ---- | ----------- |
| GET | `/api/v1/system/update/status` | Current update status (available version, install type, capability). |
| POST | `/api/v1/system/update/check` | Trigger an immediate update check. |
| POST | `/api/v1/system/update/dismiss` | Dismiss the notification for a specific version. |
| POST | `/api/v1/system/update/apply` | Download and apply the available update, then shut down. |
| GET | `/api/v1/system/update/settings` | Update settings (enabled, interval, include prereleases). |
| PUT | `/api/v1/system/update/settings` | Change auto-update settings. |
## Snapshot
A single aggregated poll endpoint for low-overhead clients.
| Method | Path | Description |
| ------ | ---- | ----------- |
| GET | `/api/v1/snapshot` | Full poll payload (targets, states, metrics, devices, brightness, color/value sources, scene presets, sync clocks, system) in one response. Use `?include=` to request a subset; per-section fault isolation. |
## Devices
LED device CRUD, pairing, discovery, health checks, brightness/power control, and the WS pixel stream.
| Method | Path | Description |
| ------ | ---- | ----------- |
| POST | `/api/v1/devices` | Create/attach a new LED device (validates connectivity). |
| POST | `/api/v1/devices/pair` | Run a pairing handshake before creating a device. |
| GET | `/api/v1/devices` | List all attached devices. |
| GET | `/api/v1/devices/discover` | Scan the network for devices (optional `timeout`, `device_type`). |
| GET | `/api/v1/devices/openrgb-zones` | List zones on an OpenRGB device (`url` query). |
| GET | `/api/v1/devices/batch/states` | Health/connection state for all devices at once. |
| GET | `/api/v1/devices/{device_id}` | Get a device by ID. |
| PUT | `/api/v1/devices/{device_id}` | Update device configuration. |
| DELETE | `/api/v1/devices/{device_id}` | Delete/detach a device (`409` if referenced). |
| GET | `/api/v1/devices/{device_id}/state` | Get device health/connection state. |
| POST | `/api/v1/devices/{device_id}/ping` | Force an immediate health check. |
| GET | `/api/v1/devices/{device_id}/brightness` | Get current (cached) brightness. |
| PUT | `/api/v1/devices/{device_id}/brightness` | Set brightness (`0255`). |
| GET | `/api/v1/devices/{device_id}/power` | Get current power state. |
| PUT | `/api/v1/devices/{device_id}/power` | Turn the device on or off. |
| WS | `/api/v1/devices/{device_id}/ws` | Pixel stream for `ws` device type (`[brightness][R G B …]`). |
## Capture templates, engines & filters
Capture template CRUD/testing, capture engine discovery, and post-processing filter discovery.
| Method | Path | Description |
| ------ | ---- | ----------- |
| GET | `/api/v1/capture-templates` | List all capture templates. |
| POST | `/api/v1/capture-templates` | Create a capture template. |
| GET | `/api/v1/capture-templates/{template_id}` | Get a capture template by ID. |
| PUT | `/api/v1/capture-templates/{template_id}` | Update a capture template (partial). |
| DELETE | `/api/v1/capture-templates/{template_id}` | Delete a template (`409` if used by streams). |
| GET | `/api/v1/capture-engines` | List capture engines with platform availability. |
| POST | `/api/v1/capture-templates/test` | Test a capture config; returns FPS metrics + preview. |
| WS | `/api/v1/capture-templates/test/ws` | Real-time capture test with intermediate frame previews. |
| GET | `/api/v1/filters` | List post-processing filter types and option schemas. |
| GET | `/api/v1/strip-filters` | List filter types that support 1D LED-strip processing. |
## Picture sources
Screen captures, static images, video files, and processed streams used for color extraction.
| Method | Path | Description |
| ------ | ---- | ----------- |
| GET | `/api/v1/picture-sources` | List all picture sources. |
| POST | `/api/v1/picture-sources/validate-image` | Validate an image source and return a preview thumbnail. |
| GET | `/api/v1/picture-sources/full-image` | Serve a full-resolution image for lightbox preview (`source` query). |
| POST | `/api/v1/picture-sources` | Create a picture source (`raw`/`processed`/`static`/`video`). |
| GET | `/api/v1/picture-sources/{stream_id}` | Get a picture source by ID. |
| PUT | `/api/v1/picture-sources/{stream_id}` | Update a picture source. |
| DELETE | `/api/v1/picture-sources/{stream_id}` | Delete a picture source (`409` if referenced). |
| GET | `/api/v1/picture-sources/{stream_id}/thumbnail` | Thumbnail (first frame) for a video source. |
| POST | `/api/v1/picture-sources/{stream_id}/test` | Resolve the chain and run a capture test. |
| WS | `/api/v1/picture-sources/{stream_id}/test/ws` | Test stream with intermediate frame previews. |
## Post-processing templates
Reusable filter chains applied to picture sources.
| Method | Path | Description |
| ------ | ---- | ----------- |
| GET | `/api/v1/postprocessing-templates` | List all post-processing templates. |
| POST | `/api/v1/postprocessing-templates` | Create a template (name + filter list). |
| GET | `/api/v1/postprocessing-templates/{template_id}` | Get a template by ID. |
| PUT | `/api/v1/postprocessing-templates/{template_id}` | Update a template (partial). |
| DELETE | `/api/v1/postprocessing-templates/{template_id}` | Delete a template (`409` if referenced). |
| POST | `/api/v1/postprocessing-templates/{template_id}/test` | Capture from a source and apply the filters. |
| WS | `/api/v1/postprocessing-templates/{template_id}/test/ws` | Real-time test with intermediate frame previews. |
## Output targets
LED strips, Home Assistant light groups, and Zigbee2MQTT bulb groups.
| Method | Path | Description |
| ------ | ---- | ----------- |
| POST | `/api/v1/output-targets` | Create a target (`led` / `ha_light` / `z2m_light`). |
| GET | `/api/v1/output-targets` | List all output targets. |
| GET | `/api/v1/output-targets/batch/states` | Processing state for all targets at once. |
| GET | `/api/v1/output-targets/batch/metrics` | Metrics for all targets at once. |
| GET | `/api/v1/output-targets/{target_id}` | Get a single target. |
| PUT | `/api/v1/output-targets/{target_id}` | Update a target (partial, per type). |
| DELETE | `/api/v1/output-targets/{target_id}` | Delete a target (stops processing first). |
## Output target control & live preview
Start/stop processing, state & metrics, the calibration overlay, the global event stream, and live color/LED preview WebSockets.
| Method | Path | Description |
| ------ | ---- | ----------- |
| POST | `/api/v1/output-targets/bulk/start` | Start processing for multiple targets. |
| POST | `/api/v1/output-targets/bulk/stop` | Stop processing for multiple targets. |
| POST | `/api/v1/output-targets/{target_id}/start` | Start processing for one target. |
| POST | `/api/v1/output-targets/{target_id}/stop` | Stop processing for one target. |
| GET | `/api/v1/output-targets/{target_id}/state` | Current processing state (FPS, timing, device, errors). |
| GET | `/api/v1/output-targets/{target_id}/metrics` | Processing metrics (uptime, frames, error count). |
| WS | `/api/v1/events/ws` | Real-time state-change events across all targets. |
| POST | `/api/v1/output-targets/{target_id}/overlay/start` | Start the on-screen sampling/LED overlay. |
| POST | `/api/v1/output-targets/{target_id}/overlay/stop` | Stop the overlay. |
| GET | `/api/v1/output-targets/{target_id}/overlay/status` | Whether the overlay is active. |
| POST | `/api/v1/output-targets/{target_id}/ha-light/turn-off` | Turn off all HA light entities for the target. |
| WS | `/api/v1/output-targets/{target_id}/ha-light/ws` | Live HA light color preview. |
| POST | `/api/v1/output-targets/{target_id}/z2m-light/turn-off` | Publish OFF to all Zigbee2MQTT bulbs for the target. |
| WS | `/api/v1/output-targets/{target_id}/z2m-light/ws` | Live Zigbee2MQTT bulb color preview. |
| WS | `/api/v1/output-targets/{target_id}/led-preview/ws` | Live LED-strip preview (binary RGB frames). |
## Color strip sources
CRUD, calibration, raw color push, notifications, and preview streaming for color strip sources.
| Method | Path | Description |
| ------ | ---- | ----------- |
| GET | `/api/v1/color-strip-sources` | List all color strip sources. |
| POST | `/api/v1/color-strip-sources` | Create a color strip source (by `source_type`). |
| GET | `/api/v1/color-strip-sources/{source_id}` | Get a color strip source by ID. |
| PUT | `/api/v1/color-strip-sources/{source_id}` | Update a source; hot-reloads running streams. |
| DELETE | `/api/v1/color-strip-sources/{source_id}` | Delete a source (`409` if referenced). |
| POST | `/api/v1/color-strip-sources/{source_id}/overlay/start` | Start the screen overlay (picture-type, calibrated). |
| POST | `/api/v1/color-strip-sources/{source_id}/overlay/stop` | Stop the screen overlay. |
| GET | `/api/v1/color-strip-sources/{source_id}/overlay/status` | Whether the overlay is active. |
| POST | `/api/v1/color-strip-sources/{source_id}/colors` | Push raw LED colors to an `api_input` source. |
| POST | `/api/v1/color-strip-sources/{source_id}/notify` | Trigger a one-shot notification effect. |
| GET | `/api/v1/color-strip-sources/os-notifications/history` | Recent OS-notification capture history. |
| PUT | `/api/v1/color-strip-sources/{source_id}/calibration/test` | Light up LED edges to verify calibration. |
| POST | `/api/v1/color-strip-sources/{source_id}/key-colors/test` | Test a `key_colors` source (extract colors from rectangles). |
| WS | `/api/v1/color-strip-sources/{source_id}/key-colors/test/ws` | Real-time key-colors test preview. |
| WS | `/api/v1/color-strip-sources/preview/ws` | Transient ad-hoc source preview stream. |
| WS | `/api/v1/color-strip-sources/{source_id}/ws` | Push raw colors to an `api_input` source over WS. |
| WS | `/api/v1/color-strip-sources/{source_id}/test/ws` | Real-time source preview (binary RGB, optional JPEG). |
## Color strip processing templates
Reusable filter chains applied to color strips (1D LED data).
| Method | Path | Description |
| ------ | ---- | ----------- |
| GET | `/api/v1/color-strip-processing-templates` | List all color-strip processing templates. |
| POST | `/api/v1/color-strip-processing-templates` | Create a template (name + filter list). |
| GET | `/api/v1/color-strip-processing-templates/{template_id}` | Get a template by ID. |
| PUT | `/api/v1/color-strip-processing-templates/{template_id}` | Update a template. |
| DELETE | `/api/v1/color-strip-processing-templates/{template_id}` | Delete a template (`409` if referenced). |
| WS | `/api/v1/color-strip-processing-templates/{template_id}/test/ws` | Real-time preview: apply the filter chain to an input source. |
## Pattern templates
Layout templates of named rectangles for LED device configuration.
| Method | Path | Description |
| ------ | ---- | ----------- |
| GET | `/api/v1/pattern-templates` | List all pattern templates. |
| POST | `/api/v1/pattern-templates` | Create a pattern template (named rectangles). |
| GET | `/api/v1/pattern-templates/{template_id}` | Get a pattern template by ID. |
| PUT | `/api/v1/pattern-templates/{template_id}` | Update a pattern template. |
| DELETE | `/api/v1/pattern-templates/{template_id}` | Delete a template (`409` if referenced by targets). |
## Gradients
Reusable gradient definitions (color stops). Built-in gradients are read-only but clonable.
| Method | Path | Description |
| ------ | ---- | ----------- |
| GET | `/api/v1/gradients` | List all gradients (built-in and user-created). |
| POST | `/api/v1/gradients` | Create a user-defined gradient. |
| GET | `/api/v1/gradients/{gradient_id}` | Get a gradient by ID. |
| PUT | `/api/v1/gradients/{gradient_id}` | Update a gradient (built-ins are read-only). |
| POST | `/api/v1/gradients/{gradient_id}/clone` | Clone a gradient into a customizable copy. |
| DELETE | `/api/v1/gradients/{gradient_id}` | Delete a gradient (`400` if built-in or referenced). |
## Audio devices
| Method | Path | Description |
| ------ | ---- | ----------- |
| GET | `/api/v1/audio-devices` | List audio input/output devices (flat list + per-engine grouping). |
## Audio sources
Audio capture and processing sources for audio-reactive effects.
| Method | Path | Description |
| ------ | ---- | ----------- |
| GET | `/api/v1/audio-sources` | List all audio sources (optional `source_type`). |
| POST | `/api/v1/audio-sources` | Create an audio source (`capture` or `processed`). |
| GET | `/api/v1/audio-sources/{source_id}` | Get an audio source by ID. |
| PUT | `/api/v1/audio-sources/{source_id}` | Update an audio source (partial). |
| DELETE | `/api/v1/audio-sources/{source_id}` | Delete an audio source (`409` if referenced). |
| WS | `/api/v1/audio-sources/{source_id}/test/ws` | Real-time spectrum/RMS/peak/beat analysis (~20 Hz). |
## Audio templates & engines
Audio capture templates and engine discovery.
| Method | Path | Description |
| ------ | ---- | ----------- |
| GET | `/api/v1/audio-templates` | List all audio capture templates. |
| POST | `/api/v1/audio-templates` | Create an audio capture template. |
| GET | `/api/v1/audio-templates/{template_id}` | Get an audio template by ID. |
| PUT | `/api/v1/audio-templates/{template_id}` | Update an audio template. |
| DELETE | `/api/v1/audio-templates/{template_id}` | Delete a template (cascades to audio sources). |
| GET | `/api/v1/audio-engines` | List audio capture engines and availability. |
| WS | `/api/v1/audio-templates/{template_id}/test/ws` | Real-time spectrum test for a template + device. |
## Audio processing templates
Reusable audio filter chains.
| Method | Path | Description |
| ------ | ---- | ----------- |
| GET | `/api/v1/audio-processing-templates` | List all audio processing templates. |
| POST | `/api/v1/audio-processing-templates` | Create a template (name + filter list). |
| GET | `/api/v1/audio-processing-templates/{template_id}` | Get a template by ID. |
| PUT | `/api/v1/audio-processing-templates/{template_id}` | Update a template (hot-updates running streams). |
| DELETE | `/api/v1/audio-processing-templates/{template_id}` | Delete a template (`409` if referenced). |
## Audio filters
| Method | Path | Description |
| ------ | ---- | ----------- |
| GET | `/api/v1/audio-filters` | List audio filter types and their option schemas. |
## Value sources
Dynamic data inputs (brightness and other parameters): static, animated, audio, adaptive, color, sensor, HTTP, Home Assistant, and `template` — a sandboxed-Jinja **combinator** that evaluates an expression over the live values of other value sources.
| Method | Path | Description |
| ------ | ---- | ----------- |
| GET | `/api/v1/value-sources` | List all value sources (optional `source_type`). |
| POST | `/api/v1/value-sources` | Create a value source (discriminated by `source_type`). |
| POST | `/api/v1/value-sources/validate-template` | Validate a template expression + inputs (advisory; always `200` with `{valid, error, errors, warnings, variables}`). |
| GET | `/api/v1/value-sources/{source_id}` | Get a value source by ID. |
| PUT | `/api/v1/value-sources/{source_id}` | Update a value source; hot-reloads running streams. |
| DELETE | `/api/v1/value-sources/{source_id}` | Delete a value source (`400` if referenced by a target or another value source). |
| WS | `/api/v1/value-sources/{source_id}/test/ws` | Real-time value output stream (~20 Hz). |
### Template value source (`source_type: "template"`)
A `float` combinator. Fields: `template` (a Jinja *expression*), `inputs` (`[{name, value_source_id}]` bindings to other value sources), `default_value` (fallback in `[0,1]` on any error), and `eval_interval` (optional re-eval throttle in seconds; `0`/null = every poll). At runtime each input is exposed by its `name` (the source's normalized `0..1` value) plus `raw[name]` (its un-normalized value, where available). Globals: `min`, `max`, `abs`, `round`, `clamp(x, lo=0, hi=1)`. The expression runs in a hardened `ImmutableSandboxedEnvironment` (no statements/blocks, filters, attribute access, `**`, or string repetition); results are coerced, NaN/inf-rejected, and clamped to `[0,1]`. Reference cycles and over-deep nesting are rejected at save time. For time-of-day logic, bind an `adaptive_time` or `daylight` source as an input.
## Weather sources
Weather data providers feeding weather-driven value sources.
| Method | Path | Description |
| ------ | ---- | ----------- |
| GET | `/api/v1/weather-sources` | List all weather sources. |
| POST | `/api/v1/weather-sources` | Create a weather source (provider, lat/lon, interval). |
| GET | `/api/v1/weather-sources/{source_id}` | Get a weather source by ID. |
| PUT | `/api/v1/weather-sources/{source_id}` | Update a weather source. |
| DELETE | `/api/v1/weather-sources/{source_id}` | Delete a weather source. |
| POST | `/api/v1/weather-sources/{source_id}/test` | Force-fetch current weather and return it. |
## Automations
Rules that trigger scene presets (time, display state, MQTT, webhooks, Home Assistant, HTTP polling, active window).
| Method | Path | Description |
| ------ | ---- | ----------- |
| POST | `/api/v1/automations` | Create an automation (rules + scene preset + deactivation). |
| GET | `/api/v1/automations` | List automations with current activity state. |
| GET | `/api/v1/automations/{automation_id}` | Get an automation by ID (includes webhook URL if any). |
| PUT | `/api/v1/automations/{automation_id}` | Update an automation (partial); re-evaluates if enabled. |
| DELETE | `/api/v1/automations/{automation_id}` | Delete and deactivate an automation. |
| POST | `/api/v1/automations/{automation_id}/enable` | Enable and immediately evaluate rules. |
| POST | `/api/v1/automations/{automation_id}/disable` | Disable and deactivate. |
## Scene presets
Captured snapshots of target state that can be restored.
| Method | Path | Description |
| ------ | ---- | ----------- |
| POST | `/api/v1/scene-presets` | Create a preset by capturing current target state. |
| GET | `/api/v1/scene-presets` | List all scene presets. |
| GET | `/api/v1/scene-presets/{preset_id}` | Get a scene preset by ID. |
| PUT | `/api/v1/scene-presets/{preset_id}` | Update metadata and optionally change targets. |
| DELETE | `/api/v1/scene-presets/{preset_id}` | Delete a scene preset. |
| POST | `/api/v1/scene-presets/{preset_id}/recapture` | Re-capture current state into the preset. |
| POST | `/api/v1/scene-presets/{preset_id}/activate` | Activate the preset (restore captured state). |
## Sync clocks
Shared clocks that drive linked animations with configurable speed.
| Method | Path | Description |
| ------ | ---- | ----------- |
| GET | `/api/v1/sync-clocks` | List all synchronization clocks. |
| POST | `/api/v1/sync-clocks` | Create a sync clock. |
| GET | `/api/v1/sync-clocks/{clock_id}` | Get a sync clock by ID. |
| PUT | `/api/v1/sync-clocks/{clock_id}` | Update a clock (speed changes hot-applied). |
| DELETE | `/api/v1/sync-clocks/{clock_id}` | Delete a clock (`409` if referenced). |
| POST | `/api/v1/sync-clocks/{clock_id}/pause` | Pause the clock (freeze linked animations). |
| POST | `/api/v1/sync-clocks/{clock_id}/resume` | Resume a paused clock. |
| POST | `/api/v1/sync-clocks/{clock_id}/reset` | Reset the clock to `t=0`. |
## Webhooks
Inbound trigger endpoint for external services.
| Method | Path | Description |
| ------ | ---- | ----------- |
| POST | `/api/v1/webhooks/{token}` | Trigger an automation by secret token (`activate`/`deactivate`; rate-limited 30/min/IP). |
## HTTP endpoints
Outbound HTTP polling endpoints for integrations. 🔒 These require a real API key even on loopback.
| Method | Path | Description |
| ------ | ---- | ----------- |
| GET | `/api/v1/http/endpoints` | List all HTTP polling endpoints. |
| POST | `/api/v1/http/endpoints` | Create an endpoint (URL, method, auth token, headers). |
| GET | `/api/v1/http/endpoints/{endpoint_id}` | Get an endpoint by ID. |
| PUT | `/api/v1/http/endpoints/{endpoint_id}` | Update an endpoint. |
| DELETE | `/api/v1/http/endpoints/{endpoint_id}` | Delete an endpoint. |
| POST | `/api/v1/http/endpoints/test` | One-shot test fetch to validate a config before saving. |
| POST | `/api/v1/http/endpoints/{endpoint_id}/test` | Test a stored endpoint without re-entering its token. |
## Game integration
Game event ingestion, adapter metadata, presets, and diagnostics.
| Method | Path | Description |
| ------ | ---- | ----------- |
| GET | `/api/v1/game-integrations/presets` | List built-in effect presets. |
| GET | `/api/v1/game-integrations` | List all game integration configs. |
| POST | `/api/v1/game-integrations` | Create a game integration config. |
| GET | `/api/v1/game-integrations/{integration_id}` | Get a config by ID. |
| PUT | `/api/v1/game-integrations/{integration_id}` | Update a config. |
| DELETE | `/api/v1/game-integrations/{integration_id}` | Delete a config. |
| POST | `/api/v1/game-integrations/{integration_id}/event` | Ingest a game event (adapter-level auth; 1664 Hz). |
| GET | `/api/v1/game-integrations/{integration_id}/status` | Runtime status (connected state, event counts). |
| GET | `/api/v1/game-integrations/{integration_id}/events` | Recent events for debugging (`limit`). |
| GET | `/api/v1/game-adapters` | List adapter types and supported events. |
| POST | `/api/v1/game-integrations/{integration_id}/apply-preset` | Apply a built-in preset (optionally replacing mappings). |
| POST | `/api/v1/game-integrations/{integration_id}/auto-setup` | Write game config files and generate an auth token. |
## Home Assistant
Home Assistant WebSocket sources, entity discovery, and live status.
| Method | Path | Description |
| ------ | ---- | ----------- |
| GET | `/api/v1/home-assistant/sources` | List HA sources with status and entity counts (`?include_secrets=true` 🔒). |
| POST | `/api/v1/home-assistant/sources` | Create an HA source (host, long-lived token, filters). |
| GET | `/api/v1/home-assistant/sources/{source_id}` | Get an HA source (`?include_secrets=true` 🔒). |
| PUT | `/api/v1/home-assistant/sources/{source_id}` | Update an HA source; refreshes the connection. |
| DELETE | `/api/v1/home-assistant/sources/{source_id}` | Delete an HA source and release its runtime. |
| GET | `/api/v1/home-assistant/sources/{source_id}/entities` | List available HA entities (live + cache fallback). |
| POST | `/api/v1/home-assistant/sources/{source_id}/test` | Test connection/auth and report HA version. |
| GET | `/api/v1/home-assistant/status` | Overall HA integration status per source. |
## MQTT sources
MQTT broker connections (sources) and status monitoring.
| Method | Path | Description |
| ------ | ---- | ----------- |
| GET | `/api/v1/mqtt/sources` | List MQTT sources with connection status. |
| POST | `/api/v1/mqtt/sources` | Create an MQTT source (broker connection). |
| GET | `/api/v1/mqtt/sources/{source_id}` | Get an MQTT source by ID. |
| PUT | `/api/v1/mqtt/sources/{source_id}` | Update a source; restarts the broker runtime. |
| DELETE | `/api/v1/mqtt/sources/{source_id}` | Delete a source and release its runtime. |
| POST | `/api/v1/mqtt/sources/{source_id}/test` | Test connection to the broker (10s timeout). |
| GET | `/api/v1/mqtt/status` | Overall MQTT integration status per source. |
## Assets
Media files (sounds, images, videos) used by effects and notifications.
| Method | Path | Description |
| ------ | ---- | ----------- |
| GET | `/api/v1/assets` | List assets (optional `asset_type` filter). |
| GET | `/api/v1/assets/{asset_id}` | Get asset metadata by ID. |
| POST | `/api/v1/assets` | Upload a new asset file (`multipart/form-data`). |
| PUT | `/api/v1/assets/{asset_id}` | Update asset metadata. |
| DELETE | `/api/v1/assets/{asset_id}` | Delete an asset (prebuilt assets are soft-deleted/restorable). |
| GET | `/api/v1/assets/{asset_id}/file` | Serve the asset file (download). |
| POST | `/api/v1/assets/restore-prebuilt` | Re-import any deleted prebuilt assets. |
## Graph wiring
The wiring-graph: schema registry, topology, dependents, validation, and subgraph duplication.
| Method | Path | Description |
| ------ | ---- | ----------- |
| GET | `/api/v1/graph/schema` | Registry of connectable reference fields. |
| GET | `/api/v1/graph` | Full wiring topology (nodes + edges) and validation report. |
| GET | `/api/v1/graph/dependents/{kind}/{entity_id}` | Every entity that references `(kind, entity_id)`. |
| POST | `/api/v1/graph/validate-connection` | Validate a proposed wiring edit (existence, kind, no cycle). |
| POST | `/api/v1/graph/duplicate` | Deep-clone selected value/color-strip sources with remapped wiring. |
## Web UI & PWA
App-level routes served by FastAPI (not under `/api/v1`).
| Method | Path | Description |
| ------ | ---- | ----------- |
| GET | `/` | The web dashboard UI. |
| GET | `/manifest.json` | PWA manifest (root scope). |
| GET | `/sw.js` | Service worker (root scope). |
| GET | `/openapi.json` | OpenAPI schema. |
| GET | `/docs` | Swagger UI (interactive API docs). |
| GET | `/redoc` | ReDoc API reference. |
---
## Calibration
## Next steps
### GET /api/v1/devices/{device_id}/calibration
Get calibration configuration.
**Response:**
```json
{
"layout": "clockwise",
"start_position": "bottom_left",
"segments": [
{
"edge": "bottom",
"led_start": 0,
"led_count": 40,
"reverse": false
},
{
"edge": "right",
"led_start": 40,
"led_count": 30,
"reverse": false
},
{
"edge": "top",
"led_start": 70,
"led_count": 40,
"reverse": true
},
{
"edge": "left",
"led_start": 110,
"led_count": 40,
"reverse": true
}
]
}
```
### PUT /api/v1/devices/{device_id}/calibration
Update calibration.
**Request:** Same as GET response
### POST /api/v1/devices/{device_id}/calibration/test
Test calibration by lighting up specific edge.
**Query Parameters:**
- `edge`: Edge to test (top, right, bottom, left)
- `color`: RGB color array (e.g., [255, 0, 0])
---
## Metrics
### GET /api/v1/devices/{device_id}/metrics
Get detailed processing metrics.
**Response:**
```json
{
"device_id": "device_abc123",
"processing": true,
"fps_actual": 29.8,
"fps_target": 30,
"uptime_seconds": 3600.5,
"frames_processed": 107415,
"errors_count": 2,
"last_error": null,
"last_update": "2026-02-06T12:00:00Z"
}
```
---
## Error Responses
All endpoints may return error responses in this format:
```json
{
"error": "ErrorType",
"message": "Human-readable error message",
"detail": {...},
"timestamp": "2026-02-06T12:00:00Z"
}
```
**Common HTTP Status Codes:**
- `200 OK` - Success
- `201 Created` - Resource created
- `204 No Content` - Success with no response body
- `400 Bad Request` - Invalid request
- `404 Not Found` - Resource not found
- `500 Internal Server Error` - Server error
---
## Interactive Documentation
The server provides interactive API documentation:
- **Swagger UI:** http://localhost:8080/docs
- **ReDoc:** http://localhost:8080/redoc
- **OpenAPI JSON:** http://localhost:8080/openapi.json
- [Installation Guide](../INSTALLATION.md)
- [Calibration Guide](CALIBRATION.md)
- Interactive, always-current schemas: [`/docs`](http://localhost:8080/docs)
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@@ -6,33 +6,35 @@
- `src/ledgrab/api/routes/` — REST API endpoints (one file per entity)
- `src/ledgrab/api/schemas/` — Pydantic request/response models (one file per entity)
- `src/ledgrab/core/` — Core business logic (capture, devices, audio, processing, automations)
- `src/ledgrab/storage/` — Data models (dataclasses) and JSON persistence stores
- `src/ledgrab/storage/` — Data models (dataclasses) and SQLite-backed persistence stores (`BaseSqliteStore`)
- `src/ledgrab/utils/` — Utility functions (logging, monitor detection, SSRF validation, sound playback)
- `src/ledgrab/static/` — Frontend files (TypeScript, CSS, locales)
- `src/ledgrab/templates/` — Jinja2 HTML templates
- `config/` — Configuration files (YAML)
- `data/` — Runtime data (JSON stores, persisted state)
- `data/` — Runtime data: SQLite database (`ledgrab.db`) + assets. Relocate the root with `LEDGRAB_DATA_DIR`.
## Entity & Storage Pattern
Each entity follows: dataclass model (`storage/`) + JSON store (`storage/*_store.py`) + Pydantic schemas (`api/schemas/`) + routes (`api/routes/`).
Each entity follows: dataclass model (`storage/`) + SQLite store (`storage/*_store.py`, subclassing `BaseSqliteStore`) + Pydantic schemas (`api/schemas/`) + routes (`api/routes/`).
Stores keep an in-memory write-through cache over a per-entity SQLite table (the legacy `BaseJsonStore` still exists for reference but new stores use `BaseSqliteStore`). Schema/data shape changes go through `storage/data_migrations.py` — migrations are idempotent and tracked in a dedicated `data_migrations` audit table, so they run safely on every startup. **When renaming or restructuring stored fields, add a migration there** (see the Data Migration Policy in the root `CLAUDE.md`).
## Authentication
Server uses API key authentication via Bearer token in `Authorization` header.
API key authentication via Bearer token in the `Authorization` header (`Authorization: Bearer <key>`). WebSocket connections authenticate with a first-message handshake (`{"type":"auth","token":"<key>"}`). See `src/ledgrab/api/auth.py` for the canonical logic.
- Config: `config/default_config.yaml` under `auth.api_keys`
- Env var: `LEDGRAB_AUTH__API_KEYS`
- When `api_keys` is empty (default), auth is disabled — all endpoints are open
- To enable auth, add key entries (e.g. `dev: "your-secret-key"`)
- Config: `config/default_config.yaml` under `auth.api_keys`; env var `LEDGRAB_AUTH__API_KEYS`
- When `api_keys` is **empty** (default): **loopback** requests (`127.0.0.1` / `::1` / `localhost`) are allowed anonymously, but **LAN / remote** requests are rejected with `401`. Auth is *not* fully open.
- When `api_keys` is **set**: a valid Bearer token is required from every client (loopback included).
- `require_authenticated()` rejects even loopback-anonymous callers on sensitive endpoints (e.g. backup download, secret reveal).
## Common Tasks
### Adding a new API endpoint
1. Create route file in `api/routes/`
1. Create route file in `api/routes/` (define an `APIRouter(prefix="/api/v1/...")`)
2. Define request/response schemas in `api/schemas/`
3. Register the router in `main.py`
3. Register the router in `api/__init__.py` (it aggregates every route module into the single `router` that `main.py` mounts)
4. Restart the server
5. Test via `/docs` (Swagger UI)
+115 -7
View File
@@ -99,6 +99,8 @@ CONNECTION_SCHEMA: tuple[ConnectionField, ...] = (
ConnectionField("value_source", "picture_source_id", "picture_source", "picture"),
ConnectionField("value_source", "value_source_id", "value_source", "value"),
ConnectionField("value_source", "color_strip_source_id", "color_strip_source", "colorstrip"),
# AnimatedColorValueSource references a sync clock for shared timing.
ConnectionField("value_source", "clock_id", "sync_clock", "clock"),
# ── Color strip sources (top-level) ──
ConnectionField("color_strip_source", "picture_source_id", "picture_source", "picture"),
ConnectionField("color_strip_source", "audio_source_id", "audio_source", "audio"),
@@ -129,6 +131,11 @@ CONNECTION_SCHEMA: tuple[ConnectionField, ...] = (
)
),
# ── Color strip sources (BindableColor value bindings) ──
# NOTE: `bindable` here is *structural* (these are BindableColor fields). They
# are NOT usefully wireable from the graph: a ValueStream yields a scalar
# (`get_value() -> float`) and every colour consumer reads the static RGB via
# `bcolor()` (source_id ignored at runtime). The graph editor keeps them
# read-only; do not enable them without a colour-producing value source.
*(
ConnectionField(
"color_strip_source",
@@ -168,7 +175,6 @@ CONNECTION_SCHEMA: tuple[ConnectionField, ...] = (
# ── Output targets ──
ConnectionField("output_target", "device_id", "device", "device"),
ConnectionField("output_target", "color_strip_source_id", "color_strip_source", "colorstrip"),
ConnectionField("output_target", "picture_source_id", "picture_source", "picture"),
ConnectionField(
"output_target", "brightness.source_id", "value_source", "value", bindable=True, nested=True
),
@@ -201,6 +207,34 @@ def schema_for_kind(kind: str) -> list[ConnectionField]:
return [c for c in CONNECTION_SCHEMA if c.target_kind == kind]
# BindableColor slots are structurally bindable but NOT graph-editable: a
# ValueStream yields a scalar (``get_value() -> float``) and colour consumers
# read the static RGB via ``bcolor()`` (source_id ignored at runtime), so a
# value source cannot drive a colour.
_COLOR_BINDABLE_FIELDS: frozenset[str] = frozenset(
{
"color.source_id",
"color_peak.source_id",
"fallback_color.source_id",
"default_color.source_id",
}
)
def is_editable(cf: ConnectionField) -> bool:
"""Whether a field can be wired from the graph.
Editable = a top-level reference, or a single-level ``BindableFloat`` slot.
List slots (need an element index), double-nested fields, and the dead
colour bindings stay read-only.
"""
if cf.is_list:
return False
if not cf.nested:
return True
return cf.bindable and cf.field.count(".") == 1 and cf.field not in _COLOR_BINDABLE_FIELDS
def schema_as_dicts() -> list[dict[str, Any]]:
"""Serialize the registry for the ``/graph/schema`` endpoint."""
return [
@@ -212,6 +246,7 @@ def schema_as_dicts() -> list[dict[str, Any]]:
"bindable": c.bindable,
"nested": c.nested,
"is_list": c.is_list,
"editable": is_editable(c),
}
for c in CONNECTION_SCHEMA
]
@@ -244,6 +279,54 @@ def extract_refs(entity: dict[str, Any], field_path: str) -> list[str]:
return [v for v in current if isinstance(v, str) and v]
def remap_refs(entity: dict[str, Any], field_path: str, id_map: dict[str, str]) -> int:
"""Rewrite referenced ids under ``field_path`` *in place*, using ``id_map``.
The write-twin of :func:`extract_refs`: it walks the same dot/list/bindable
grammar and replaces any leaf id present in ``id_map`` with its mapped value.
Ids absent from ``id_map`` (references to entities outside the remap set) are
left untouched, so a clone keeps sharing its un-cloned dependencies. Unbound
bindables (a plain number where an object was expected) and missing keys are
tolerated. Returns the number of ids rewritten.
"""
segments = field_path.split(".")
# Descend to the container(s) that hold the final key.
parents: list[Any] = [entity]
for segment in segments[:-1]:
is_list = segment.endswith("[]")
key = segment[:-2] if is_list else segment
nxt: list[Any] = []
for obj in parents:
if not isinstance(obj, dict):
continue
val = obj.get(key)
if is_list:
if isinstance(val, list):
nxt.extend(val)
elif isinstance(val, dict):
nxt.append(val)
parents = nxt
last = segments[-1]
last_is_list = last.endswith("[]")
key = last[:-2] if last_is_list else last
count = 0
for obj in parents:
if not isinstance(obj, dict):
continue
val = obj.get(key)
if last_is_list:
if isinstance(val, list):
for i, item in enumerate(val):
if isinstance(item, str) and item in id_map:
val[i] = id_map[item]
count += 1
elif isinstance(val, str) and val in id_map:
obj[key] = id_map[val]
count += 1
return count
def serialize_entity(model: Any) -> dict[str, Any]:
"""Best-effort serialize a storage model to a plain dict for graph use.
@@ -269,6 +352,32 @@ def serialize_entity(model: Any) -> dict[str, Any]:
return {}
def graph_field_roots(kind: str) -> set[str]:
"""Top-level keys the graph needs for ``kind``: ``id``/``name``, the subtype
field, and the root segment of every reference path for that kind."""
roots: set[str] = {"id", "name"}
type_field = NODE_TYPE_FIELD.get(kind, "")
if type_field:
roots.add(type_field)
for cf in CONNECTION_SCHEMA:
if cf.target_kind == kind:
roots.add(cf.field.split(".", 1)[0].removesuffix("[]"))
return roots
def serialize_entity_for_graph(kind: str, model: Any) -> dict[str, Any]:
"""Serialize a model and project it to ONLY the keys the graph needs.
This projection is a **security boundary**: a full ``asdict``/``to_dict``
can carry secrets (webhook tokens, device/HA/MQTT credentials), so every
field except ``id``/``name``, the subtype field and reference-path roots is
dropped before the data reaches the graph API.
"""
full = serialize_entity(model)
roots = graph_field_roots(kind)
return {k: v for k, v in full.items() if k in roots}
# ── Topology / validation ───────────────────────────────────────────────────
@@ -480,12 +589,11 @@ def validate_connection(
)
if cf is None:
return False, f"Unknown connection field: {target_kind}.{field}"
if cf.is_list:
# List slots (layers/zones/scene targets) hold many edges sharing the
# same (to, field); without an element index this endpoint can't model
# which one is being replaced for the cycle check. Edit those via the
# entity editor.
return False, f"List connection '{field}' must be edited via the entity editor"
if not is_editable(cf):
# List slots (need an element index), double-nested fields, and dead
# colour bindings can't be wired from the graph — edit via the entity
# editor instead.
return False, f"Field '{field}' is not editable via the graph"
if not _entity_exists(entities_by_kind, target_kind, target_id):
return False, f"Target entity not found: {target_id}"
if not source_id:
+126 -1
View File
@@ -26,9 +26,13 @@ from ledgrab.api.graph_schema import (
ENTITY_KINDS,
NODE_TYPE_FIELD,
build_topology,
extract_refs,
find_dependents,
remap_refs,
schema_as_dicts,
schema_for_kind,
serialize_entity,
serialize_entity_for_graph,
validate_connection,
)
@@ -78,7 +82,7 @@ def _gather_entities() -> dict[str, list[dict[str, Any]]]:
logger.warning("graph: store for kind %s unavailable: %s", kind, exc)
out[kind] = []
continue
out[kind] = [serialize_entity(m) for m in models]
out[kind] = [serialize_entity_for_graph(kind, m) for m in models]
return out
@@ -122,3 +126,124 @@ async def validate_graph_connection(
entities, body.target_kind, body.target_id, body.field, body.source_id
)
return {"ok": ok, "error": error}
# ── Subgraph duplication (server-side blueprint instantiate) ─────────────────
# Only these kinds are cloned. They carry no inline secrets — they *reference*
# shared secret-bearing entities (devices, HA sources, HTTP endpoints) by id,
# and those are NOT cloned — and they have no hardware identity to conflict
# over. Output targets, automations, devices and integrations are out of scope.
_DUPLICABLE_KINDS: tuple[str, ...] = ("value_source", "color_strip_source")
_MAX_DUPLICATE = 200
class DuplicateRequest(BaseModel):
"""Duplicate a selected subgraph of value / colour-strip sources."""
node_ids: list[str] = Field(..., min_length=1, max_length=_MAX_DUPLICATE)
name_suffix: str = Field(default=" (copy)", max_length=40)
def _unique_name(existing: set[str], desired: str) -> str:
"""A name not already in ``existing`` (appends ' 2', ' 3', … on collision)."""
if desired not in existing:
return desired
i = 2
while f"{desired} {i}" in existing:
i += 1
return f"{desired} {i}"
def _duplicate_subgraph(node_ids: list[str], name_suffix: str) -> dict[str, Any]:
"""Deep-clone selected value/colour-strip sources with new ids, rewiring
references that point *within* the selection (shared deps are left alone)."""
# Index every duplicable entity by id → (kind, store, model); track names.
index: dict[str, tuple[str, Any, Any]] = {}
existing_names: dict[str, set[str]] = {}
for kind in _DUPLICABLE_KINDS:
try:
store = _KIND_STORES[kind]()
models = store.get_all()
except Exception as exc: # noqa: BLE001 — a failing store must not 500 the request
logger.warning("graph.duplicate: store for %s unavailable: %s", kind, exc)
continue
names = existing_names.setdefault(kind, set())
for m in models:
mid = getattr(m, "id", None)
mname = getattr(m, "name", None)
if isinstance(mname, str):
names.add(mname)
if isinstance(mid, str) and mid:
index[mid] = (kind, store, m)
selected: list[str] = []
skipped: list[dict[str, str]] = []
for nid in dict.fromkeys(node_ids): # de-dupe, preserve order
if nid in index:
selected.append(nid)
else:
skipped.append(
{"id": nid, "reason": "only value and colour-strip sources can be duplicated"}
)
# Pass 1 — create clones; their refs still point at the originals (valid).
id_map: dict[str, str] = {}
created: list[dict[str, str]] = []
clones: list[tuple[str, Any, str]] = []
for old_id in selected:
kind, store, model = index[old_id]
base = (getattr(model, "name", None) or old_id) + name_suffix
name = _unique_name(existing_names[kind], base)
existing_names[kind].add(name)
try:
new = store.clone(old_id, name)
except Exception as exc: # noqa: BLE001
logger.warning("graph.duplicate: clone of %s %s failed: %s", kind, old_id, exc)
skipped.append({"id": old_id, "reason": f"clone failed: {exc}"})
continue
id_map[old_id] = new.id
created.append({"id": new.id, "kind": kind, "name": new.name})
clones.append((kind, store, new.id))
# Pass 2 — rewrite references that point within the cloned set.
warnings: list[dict[str, str]] = []
for kind, store, new_id in clones:
clone = serialize_entity(store.get(new_id))
changed_roots: set[str] = set()
for cf in schema_for_kind(kind):
if remap_refs(clone, cf.field, id_map):
changed_roots.add(cf.field.split(".", 1)[0].removesuffix("[]"))
if not changed_roots:
continue
# `clone` is the FULL serialized entity, so each changed root carries a
# complete, structurally-intact value (the whole `layers` list / bindable
# dict) that ``update_source`` replaces or merges wholesale. (Within the
# duplicable set the only roots that change are scalar ids, `layers` and
# bindable slots — never a partially-built nested object.)
updates = {root: clone[root] for root in changed_roots if root in clone}
try:
store.update_source(new_id, **updates)
except Exception as exc: # noqa: BLE001
logger.warning("graph.duplicate: ref remap of %s failed: %s", new_id, exc)
warnings.append({"id": new_id, "reason": f"reference remap failed: {exc}"})
# Safety net — a clone must never still reference an OLD (in-selection) id.
for kind, store, new_id in clones:
clone = serialize_entity(store.get(new_id))
for cf in schema_for_kind(kind):
if any(ref in id_map for ref in extract_refs(clone, cf.field)):
warnings.append({"id": new_id, "reason": f"unremapped reference at {cf.field}"})
return {"id_map": id_map, "created": created, "skipped": skipped, "warnings": warnings}
@router.post("/api/v1/graph/duplicate", tags=["Graph"])
async def duplicate_subgraph(body: DuplicateRequest, _auth: AuthRequired) -> dict[str, Any]:
"""Deep-clone the selected value/colour-strip sources (new ids, wiring remapped).
References that point *within* the selection are rewired to the new clones;
references to entities outside it (devices, HA sources, …) stay shared with
the originals. Only value and colour-strip sources are cloned — they carry no
inline secrets — so any other kind in the selection is reported in ``skipped``.
"""
return await run_in_threadpool(_duplicate_subgraph, body.node_ids, body.name_suffix)
+161 -4
View File
@@ -4,6 +4,7 @@ import asyncio
from typing import Annotated
from fastapi import APIRouter, Body, Depends, HTTPException, Query, WebSocket, WebSocketDisconnect
from pydantic import BaseModel, Field
from ledgrab.api.auth import AuthRequired
from ledgrab.api.dependencies import (
@@ -27,6 +28,8 @@ from ledgrab.api.schemas.value_sources import (
StaticColorValueSourceResponse,
StaticValueSourceResponse,
SystemMetricsValueSourceResponse,
TemplateInput,
TemplateValueSourceResponse,
ValueSourceCreate,
ValueSourceListResponse,
ValueSourceResponse,
@@ -46,6 +49,7 @@ from ledgrab.storage.value_source import (
StaticColorValueSource,
StaticValueSource,
SystemMetricsValueSource,
TemplateValueSource,
ValueSource,
)
from ledgrab.storage.value_source_store import ValueSourceStore
@@ -170,6 +174,7 @@ _RESPONSE_MAP = {
min_ha_value=s.min_ha_value,
max_ha_value=s.max_ha_value,
smoothing=s.smoothing,
normalize=s.normalize,
),
GradientMapValueSource: lambda s: GradientMapValueSourceResponse(
id=s.id,
@@ -214,6 +219,7 @@ _RESPONSE_MAP = {
sensor_label=s.sensor_label,
poll_interval=s.poll_interval,
smoothing=s.smoothing,
normalize=s.normalize,
),
HTTPValueSource: lambda s: HTTPValueSourceResponse(
id=s.id,
@@ -230,6 +236,23 @@ _RESPONSE_MAP = {
min_value=s.min_value,
max_value=s.max_value,
smoothing=s.smoothing,
normalize=s.normalize,
),
TemplateValueSource: lambda s: TemplateValueSourceResponse(
id=s.id,
name=s.name,
description=s.description,
tags=s.tags,
icon=getattr(s, "icon", "") or "",
icon_color=getattr(s, "icon_color", "") or "",
created_at=s.created_at,
updated_at=s.updated_at,
template=s.template,
inputs=[
TemplateInput(name=i["name"], value_source_id=i["value_source_id"]) for i in s.inputs
],
default_value=s.default_value,
eval_interval=s.eval_interval,
),
}
@@ -395,6 +418,13 @@ async def delete_value_source(
if getattr(target, "brightness_value_source_id", "") == source_id:
raise ValueError(f"Cannot delete: referenced by target '{target.name}'")
# Check if any other value source (template / gradient_map) references it.
referencing = store.find_referencing_sources(source_id)
if referencing:
raise ValueError(
"Cannot delete: referenced by value source(s) " + ", ".join(referencing)
)
store.delete_source(source_id)
fire_entity_event("value_source", "deleted", source_id)
except EntityNotFoundError as e:
@@ -404,6 +434,121 @@ async def delete_value_source(
raise HTTPException(status_code=400, detail=str(e))
class ValidateTemplateRequest(BaseModel):
"""Request body for the advisory template-validation endpoint."""
template: str = Field(description="Jinja2 expression to validate", max_length=2000)
inputs: list[TemplateInput] = Field(default_factory=list, description="Named input bindings")
id: str | None = Field(None, description="Source id when editing (enables cycle detection)")
@router.post("/api/v1/value-sources/validate-template", tags=["Value Sources"])
async def validate_template_value_source(
payload: ValidateTemplateRequest,
_auth: AuthRequired,
store: ValueSourceStore = Depends(get_value_source_store),
):
"""Validate a template expression + inputs without persisting anything.
Advisory: always returns HTTP 200 with ``{valid, error, errors, warnings,
variables}``. Powers the live editor validator (which must run before a
source exists), reusing the exact factory/store validation so the client and
server can never disagree. ``errors`` are blocking (save disabled);
``warnings`` are non-blocking (e.g. unknown/unbound inputs — create is
lenient about those).
"""
from ledgrab.utils.template_expr import (
TemplateValidationError,
extract_variables,
validate_input_name,
validate_template_expression,
)
errors: list[str] = []
warnings: list[str] = []
# 1) Expression compiles and is safe (cost-guarded).
try:
validate_template_expression(payload.template)
except TemplateValidationError as e:
errors.append(str(e))
# 2) Input names valid / unique / non-reserved (blocking).
seen: set[str] = set()
for inp in payload.inputs:
try:
validate_input_name(inp.name)
except TemplateValidationError as e:
errors.append(str(e))
continue
if inp.name in seen:
errors.append(f"duplicate input name: {inp.name}")
seen.add(inp.name)
# 3) Referenced sources exist (non-blocking warning — create is lenient).
missing = [
inp.value_source_id
for inp in payload.inputs
if inp.value_source_id and not _source_exists(store, inp.value_source_id)
]
if missing:
warnings.append("unknown value source(s): " + ", ".join(sorted(set(missing))))
# 4) Variables referenced in the expression but not bound to an input
# (blocking): at runtime they raise UndefinedError, so the template would
# silently always return default_value. This is almost always a typo, so
# flag it as an error rather than letting "valid" mislead the user.
used = set(extract_variables(payload.template))
undeclared = used - seen
if undeclared:
errors.append("unbound variable(s): " + ", ".join(sorted(undeclared)))
# 5) Cycle check when editing an existing source (blocking).
if payload.id:
child_ids = [i.value_source_id for i in payload.inputs if i.value_source_id]
try:
store.validate_nesting(payload.id, child_ids)
except ValueError as e:
errors.append(str(e))
return {
"valid": not errors,
"error": errors[0] if errors else None,
"errors": errors,
"warnings": warnings,
"variables": extract_variables(payload.template),
}
def _source_exists(store: ValueSourceStore, source_id: str) -> bool:
try:
store.get_source(source_id)
return True
except Exception:
return False
# Per-stream (min, max) attribute pairs for the normalization range, so the
# preview can show where the raw value maps. Attribute names differ per stream
# type (historical), so probe each pair rather than assume one.
_RAW_RANGE_ATTRS: tuple[tuple[str, str], ...] = (
("_min_ha", "_max_ha"), # HAEntityValueStream
("_min_value", "_max_value"), # HTTPValueStream
("_min_val", "_max_val"), # SystemMetricsValueStream
("_min_game", "_max_game"), # GameEventValueStream
)
def _stream_raw_range(stream) -> list | None:
"""Return ``[min, max]`` for the stream's normalization range, or None."""
for lo_attr, hi_attr in _RAW_RANGE_ATTRS:
lo = getattr(stream, lo_attr, None)
hi = getattr(stream, hi_attr, None)
if isinstance(lo, (int, float)) and isinstance(hi, (int, float)):
return [lo, hi]
return None
# ===== REAL-TIME VALUE SOURCE TEST WEBSOCKET =====
@@ -467,10 +612,22 @@ async def test_value_source_ws(
msg["input_value"] = round(stream.get_input_value(), 4)
if hasattr(stream, "get_raw_value"):
raw = stream.get_raw_value()
if raw is not None:
msg["raw_value"] = round(raw, 4)
if hasattr(stream, "_min_ha"):
msg["raw_range"] = [stream._min_ha, stream._max_ha]
if isinstance(raw, bool):
# bool is a subclass of int — send as-is (don't coerce/round).
msg["raw_value"] = raw
elif isinstance(raw, (int, float)):
msg["raw_value"] = round(float(raw), 4)
elif raw is not None:
# Non-numeric raw (e.g. an HTTP string payload) — send verbatim
# rather than crash the socket on round().
msg["raw_value"] = raw
rng = _stream_raw_range(stream)
if rng is not None:
msg["raw_range"] = rng
# Tell the client whether this source is currently normalizing, so the
# preview can render the value as a fraction vs a clamped passthrough.
if hasattr(stream, "_normalize_enabled"):
msg["normalized"] = bool(stream._normalize_enabled)
await websocket.send_json(msg)
await asyncio.sleep(0.05)
except WebSocketDisconnect:
@@ -10,6 +10,17 @@ from pydantic import BaseModel, Discriminator, Field, Tag
# =====================================================================
class TemplateInput(BaseModel):
"""A single ``{name -> value_source_id}`` binding for a template source."""
name: str = Field(
description="Variable name used in the expression (valid identifier)",
min_length=1,
max_length=64,
)
value_source_id: str = Field("", description="Bound value source ID (empty = unbound)")
class _ValueSourceResponseBase(BaseModel):
"""Shared fields for all value source responses."""
@@ -120,6 +131,9 @@ class HAEntityValueSourceResponse(_ValueSourceResponseBase):
min_ha_value: float = Field(description="Raw HA value mapped to output 0.0")
max_ha_value: float = Field(description="Raw HA value mapped to output 1.0")
smoothing: float = Field(description="EMA smoothing factor (0.0-1.0)")
normalize: bool = Field(
description="Rescale raw value to [0,1] via min/max; false clamps the raw value as-is"
)
class GradientMapValueSourceResponse(_ValueSourceResponseBase):
@@ -149,6 +163,9 @@ class SystemMetricsValueSourceResponse(_ValueSourceResponseBase):
sensor_label: str = Field(description="Sensor label for cpu_temp/fan_speed")
poll_interval: float = Field(description="Seconds between reads")
smoothing: float = Field(description="EMA smoothing factor (0.0-1.0)")
normalize: bool = Field(
description="Rescale raw value to [0,1] via min/max; false clamps the raw value as-is"
)
class HTTPValueSourceResponse(_ValueSourceResponseBase):
@@ -160,6 +177,22 @@ class HTTPValueSourceResponse(_ValueSourceResponseBase):
min_value: float = Field(description="Raw value mapped to output 0.0")
max_value: float = Field(description="Raw value mapped to output 1.0")
smoothing: float = Field(description="EMA smoothing factor (0.0-1.0)")
normalize: bool = Field(
description="Rescale raw value to [0,1] via min/max; false clamps the raw value as-is"
)
class TemplateValueSourceResponse(_ValueSourceResponseBase):
source_type: Literal["template"] = "template"
return_type: Literal["float"] = "float"
template: str = Field(description="Jinja2 expression")
inputs: List[TemplateInput] = Field(
default_factory=list, description="Named value-source bindings"
)
default_value: float = Field(description="Fallback when the expression errors (0.0-1.0)")
eval_interval: float | None = Field(
None, description="Re-eval throttle in seconds (None/0 = every poll)"
)
ValueSourceResponse = Annotated[
@@ -176,7 +209,8 @@ ValueSourceResponse = Annotated[
| Annotated[GradientMapValueSourceResponse, Tag("gradient_map")]
| Annotated[CSSExtractValueSourceResponse, Tag("css_extract")]
| Annotated[SystemMetricsValueSourceResponse, Tag("system_metrics")]
| Annotated[HTTPValueSourceResponse, Tag("http")],
| Annotated[HTTPValueSourceResponse, Tag("http")]
| Annotated[TemplateValueSourceResponse, Tag("template")],
Discriminator("source_type"),
]
@@ -292,6 +326,9 @@ class HAEntityValueSourceCreate(_ValueSourceCreateBase):
min_ha_value: float = Field(0.0, description="Raw HA value mapped to output 0.0")
max_ha_value: float = Field(100.0, description="Raw HA value mapped to output 1.0")
smoothing: float = Field(0.0, description="EMA smoothing (0.0-1.0)", ge=0.0, le=1.0)
normalize: bool = Field(
True, description="Rescale raw value to [0,1] via min/max; false clamps the raw value as-is"
)
class GradientMapValueSourceCreate(_ValueSourceCreateBase):
@@ -318,6 +355,9 @@ class SystemMetricsValueSourceCreate(_ValueSourceCreateBase):
sensor_label: str = Field("", description="Sensor label for cpu_temp/fan_speed")
poll_interval: float = Field(1.0, description="Poll interval in seconds", ge=0.1, le=60.0)
smoothing: float = Field(0.0, description="EMA smoothing (0.0-1.0)", ge=0.0, le=1.0)
normalize: bool = Field(
True, description="Rescale raw value to [0,1] via min/max; false clamps the raw value as-is"
)
class HTTPValueSourceCreate(_ValueSourceCreateBase):
@@ -328,6 +368,30 @@ class HTTPValueSourceCreate(_ValueSourceCreateBase):
min_value: float = Field(0.0, description="Raw value mapped to output 0.0")
max_value: float = Field(100.0, description="Raw value mapped to output 1.0")
smoothing: float = Field(0.0, description="EMA smoothing (0.0-1.0)", ge=0.0, le=1.0)
normalize: bool = Field(
True, description="Rescale raw value to [0,1] via min/max; false clamps the raw value as-is"
)
class TemplateValueSourceCreate(_ValueSourceCreateBase):
source_type: Literal["template"] = "template"
template: str = Field(
description=(
"Jinja2 expression (no statements/blocks). Inputs are exposed by name and via "
"raw[name]; globals: min, max, abs, round, clamp(x, lo=0, hi=1)."
),
min_length=1,
max_length=2000,
)
inputs: List[TemplateInput] = Field(
default_factory=list, description="Named value-source bindings"
)
default_value: float = Field(
0.0, description="Fallback when the expression errors (0.0-1.0)", ge=0.0, le=1.0
)
eval_interval: float | None = Field(
None, description="Re-eval throttle in seconds (None/0 = every poll)", ge=0.0
)
ValueSourceCreate = Annotated[
@@ -344,7 +408,8 @@ ValueSourceCreate = Annotated[
| Annotated[GradientMapValueSourceCreate, Tag("gradient_map")]
| Annotated[CSSExtractValueSourceCreate, Tag("css_extract")]
| Annotated[SystemMetricsValueSourceCreate, Tag("system_metrics")]
| Annotated[HTTPValueSourceCreate, Tag("http")],
| Annotated[HTTPValueSourceCreate, Tag("http")]
| Annotated[TemplateValueSourceCreate, Tag("template")],
Discriminator("source_type"),
]
@@ -452,6 +517,9 @@ class HAEntityValueSourceUpdate(_ValueSourceUpdateBase):
min_ha_value: float | None = Field(None, description="Min HA value")
max_ha_value: float | None = Field(None, description="Max HA value")
smoothing: float | None = Field(None, description="EMA smoothing", ge=0.0, le=1.0)
normalize: bool | None = Field(
None, description="Rescale raw via min/max (false = clamp as-is)"
)
class GradientMapValueSourceUpdate(_ValueSourceUpdateBase):
@@ -478,6 +546,9 @@ class SystemMetricsValueSourceUpdate(_ValueSourceUpdateBase):
sensor_label: str | None = Field(None, description="Sensor label")
poll_interval: float | None = Field(None, description="Poll interval", ge=0.1, le=60.0)
smoothing: float | None = Field(None, description="EMA smoothing", ge=0.0, le=1.0)
normalize: bool | None = Field(
None, description="Rescale raw via min/max (false = clamp as-is)"
)
class HTTPValueSourceUpdate(_ValueSourceUpdateBase):
@@ -488,6 +559,23 @@ class HTTPValueSourceUpdate(_ValueSourceUpdateBase):
min_value: float | None = Field(None, description="Raw value mapped to 0.0")
max_value: float | None = Field(None, description="Raw value mapped to 1.0")
smoothing: float | None = Field(None, description="EMA smoothing", ge=0.0, le=1.0)
normalize: bool | None = Field(
None, description="Rescale raw via min/max (false = clamp as-is)"
)
class TemplateValueSourceUpdate(_ValueSourceUpdateBase):
source_type: Literal["template"] = "template"
template: str | None = Field(
None, description="Jinja2 expression", min_length=1, max_length=2000
)
inputs: List[TemplateInput] | None = Field(None, description="Named value-source bindings")
default_value: float | None = Field(
None, description="Fallback when the expression errors (0.0-1.0)", ge=0.0, le=1.0
)
eval_interval: float | None = Field(
None, description="Re-eval throttle in seconds (0 = every poll)", ge=0.0
)
ValueSourceUpdate = Annotated[
@@ -504,7 +592,8 @@ ValueSourceUpdate = Annotated[
| Annotated[GradientMapValueSourceUpdate, Tag("gradient_map")]
| Annotated[CSSExtractValueSourceUpdate, Tag("css_extract")]
| Annotated[SystemMetricsValueSourceUpdate, Tag("system_metrics")]
| Annotated[HTTPValueSourceUpdate, Tag("http")],
| Annotated[HTTPValueSourceUpdate, Tag("http")]
| Annotated[TemplateValueSourceUpdate, Tag("template")],
Discriminator("source_type"),
]
+17
View File
@@ -38,6 +38,19 @@ try:
except ImportError:
_has_sounddevice = False
# Android playback-capture engine — pure Python (numpy only), but the
# guard keeps the registration pattern uniform and tolerant of any future
# import-time dependency.
try:
from ledgrab.core.audio.android_audio_engine import (
AndroidAudioEngine,
AndroidAudioCaptureStream,
)
_has_android_audio = True
except ImportError:
_has_android_audio = False
from ledgrab.core.audio.demo_engine import DemoAudioEngine, DemoAudioCaptureStream
# Auto-register available engines
@@ -45,6 +58,8 @@ if _has_wasapi:
AudioEngineRegistry.register(WasapiEngine)
if _has_sounddevice:
AudioEngineRegistry.register(SounddeviceEngine)
if _has_android_audio:
AudioEngineRegistry.register(AndroidAudioEngine)
AudioEngineRegistry.register(DemoAudioEngine)
__all__ = [
@@ -65,3 +80,5 @@ if _has_wasapi:
__all__ += ["WasapiEngine", "WasapiCaptureStream"]
if _has_sounddevice:
__all__ += ["SounddeviceEngine", "SounddeviceCaptureStream"]
if _has_android_audio:
__all__ += ["AndroidAudioEngine", "AndroidAudioCaptureStream"]
@@ -0,0 +1,229 @@
"""Android playback-capture audio engine.
Receives PCM pushed from Kotlin (via Chaquopy) through a module-level
sample queue. The Kotlin layer captures system playback audio with
``AudioRecord`` + ``AudioPlaybackCaptureConfiguration`` (reusing the
app's ``MediaProjection`` token) and calls :func:`push_samples` with
interleaved float32 PCM for each fixed-size block.
Mirrors the screen-capture bridge
(``core/capture_engines/mediaprojection_engine.py``): a module-level
queue plus ``configure`` / ``push_samples`` / ``shutdown`` filled by
Kotlin, consumed through the standard :class:`AudioCaptureStreamBase`
interface so :class:`~ledgrab.core.audio.audio_capture.ManagedAudioStream`
and :class:`~ledgrab.core.audio.analysis.AudioAnalyzer` work unchanged.
This engine is only available when running inside the LedGrab Android
app, which has set up the sample queue via :func:`configure`.
"""
import queue
from typing import Any, Dict, List
import numpy as np
from ledgrab.core.audio.base import (
AudioCaptureEngine,
AudioCaptureStreamBase,
AudioDeviceInfo,
)
from ledgrab.utils import get_logger
from ledgrab.utils.platform import is_android
logger = get_logger(__name__)
# ---------------------------------------------------------------------------
# Sample queue — the bridge between Kotlin and Python
# ---------------------------------------------------------------------------
_pcm_queue: "queue.Queue[np.ndarray]" = queue.Queue(maxsize=8)
_sample_rate = 48000
_channels = 2
_chunk_size = 1024
_active = False
_frames_received = 0
def configure(sample_rate: int, channels: int, chunk_size: int) -> None:
"""Set the stream format. Called from Kotlin before frames flow.
Drains any stale PCM from a previous capture session so the first
chunk after a restart is actually current. ``channels`` /
``sample_rate`` should be the values the Kotlin ``AudioRecord``
actually negotiated (which can differ from the requested values,
e.g. a stereo request that falls back to mono) — the analyzer keys
off these, so they must match the interleaving of pushed samples.
"""
global _sample_rate, _channels, _chunk_size, _active, _frames_received
while not _pcm_queue.empty():
try:
_pcm_queue.get_nowait()
except queue.Empty:
break
_sample_rate = sample_rate
_channels = max(1, channels)
_chunk_size = max(1, chunk_size)
_frames_received = 0
_active = True
logger.info(
"Android audio engine configured: sr=%d channels=%d chunk=%d",
_sample_rate,
_channels,
_chunk_size,
)
def push_samples(pcm_float32: bytes) -> None:
"""Push one interleaved float32 PCM block from Kotlin.
The byte buffer is interpreted as native-endian float32 (Kotlin
packs little-endian; all Android ABIs are little-endian). Drops the
oldest queued block if the consumer is slow (non-blocking).
Defensive framing: the downstream :class:`AudioAnalyzer` reshapes to
``(-1, channels)`` and copies into ``chunk_size``-sized scratch
buffers, so it raises on a block whose length is not a whole number
of frames or that exceeds ``chunk_size`` frames. We trim to a whole
multiple of ``_channels`` and clamp to ``_chunk_size`` frames so a
malformed push can never crash the capture thread.
"""
global _frames_received
# np.frombuffer raises if the length isn't a whole number of float32s.
# Kotlin always pushes complete blocks, but guard so a malformed buffer is
# dropped here rather than surfacing as an exception across the JNI bridge.
if len(pcm_float32) % 4 != 0:
return
samples = np.frombuffer(pcm_float32, dtype=np.float32)
# Trim to whole frames, then clamp to chunk_size frames.
frames = len(samples) // _channels
if frames <= 0:
return
frames = min(frames, _chunk_size)
usable = frames * _channels
# Copy out of the read-only frombuffer view so the queued block owns its
# memory. This lets the Kotlin side push from a reusable buffer (low GC on
# low-end TV boxes) without the not-yet-consumed queued block aliasing
# bytes Kotlin is about to overwrite. Mirrors mediaprojection_engine's
# push_frame .copy().
block = samples[:usable].copy()
_frames_received += 1
if _frames_received == 1 or _frames_received % 100 == 0:
logger.info("Android audio: received %d blocks", _frames_received)
try:
_pcm_queue.put_nowait(block)
except queue.Full:
try:
_pcm_queue.get_nowait()
except queue.Empty:
pass
try:
_pcm_queue.put_nowait(block)
except queue.Full:
pass
def shutdown() -> None:
"""Deactivate the engine. Called when the Android app stops audio."""
global _active
_active = False
logger.info("Android audio engine shut down")
# ---------------------------------------------------------------------------
# CaptureStream
# ---------------------------------------------------------------------------
class AndroidAudioCaptureStream(AudioCaptureStreamBase):
"""Reads PCM blocks pushed by Kotlin from the module-level queue."""
@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 self._initialized:
return
if not _active:
raise RuntimeError(
"Android audio engine not configured. "
"This engine is only available inside the Android app."
)
self._initialized = True
logger.info("Android audio capture stream initialized")
def cleanup(self) -> None:
self._initialized = False
logger.info("Android audio capture stream cleaned up")
def read_chunk(self) -> np.ndarray | None:
try:
return _pcm_queue.get(timeout=0.1) # 1-D float32 interleaved
except queue.Empty:
return None
# ---------------------------------------------------------------------------
# CaptureEngine
# ---------------------------------------------------------------------------
class AndroidAudioEngine(AudioCaptureEngine):
"""Android playback-capture audio engine.
Only available when running inside the LedGrab Android app, which
calls :func:`configure` once audio capture is set up. Exposes a
single loopback "device" representing the system audio mix.
"""
ENGINE_TYPE = "android_playback"
ENGINE_PRIORITY = 100 # highest on a real Android device (demo only wins in demo mode)
@classmethod
def is_available(cls) -> bool:
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: int,
is_loopback: bool,
config: Dict[str, Any],
) -> AndroidAudioCaptureStream:
merged = {**cls.get_default_config(), **config}
return AndroidAudioCaptureStream(device_index, is_loopback, merged)
+40
View File
@@ -40,6 +40,11 @@ _AS_IDS = {
"system": "as_demo0001",
}
_VS_IDS = {
"level": "vs_demo0001",
"boost": "vs_demo0002",
}
_TPL_ID = "tpl_demo0001"
_SCENE_ID = "scene_demo0001"
@@ -86,6 +91,7 @@ def seed_demo_data(db: Database) -> None:
_insert_entities(db, "picture_sources", _build_picture_sources())
_insert_entities(db, "color_strip_sources", _build_color_strip_sources())
_insert_entities(db, "audio_sources", _build_audio_sources())
_insert_entities(db, "value_sources", _build_value_sources())
_insert_entities(db, "scene_presets", _build_scene_presets())
logger.info("Demo seed data complete")
@@ -334,6 +340,40 @@ def _build_audio_sources() -> dict:
}
# ── Value Sources ──────────────────────────────────────────────────
def _build_value_sources() -> dict:
"""A static float source plus a template combinator that references it,
so demo mode showcases the Jinja template value source out of the box."""
return {
_VS_IDS["level"]: {
"id": _VS_IDS["level"],
"name": "Base Level",
"source_type": "static",
"description": "A constant brightness level (demo input for the template below)",
"tags": ["demo"],
"value": 0.5,
"created_at": _NOW,
"updated_at": _NOW,
},
_VS_IDS["boost"]: {
"id": _VS_IDS["boost"],
"name": "Boosted Level (template)",
"source_type": "template",
"return_type": "float",
"description": "Jinja combinator: clamps 1.5x the Base Level into [0,1]",
"tags": ["demo"],
"template": "clamp(level * 1.5)",
"inputs": [{"name": "level", "value_source_id": _VS_IDS["level"]}],
"default_value": 0.0,
"eval_interval": None,
"created_at": _NOW,
"updated_at": _NOW,
},
}
# ── Scene Presets ──────────────────────────────────────────────────
@@ -8,7 +8,7 @@ import numpy as np
from ledgrab.core.processing.color_strip_stream import ColorStripStream
from ledgrab.storage.bindable import bfloat
from ledgrab.utils import get_logger
from ledgrab.utils import clamp01, get_logger
from ledgrab.utils.frame_limiter import FrameLimiter
logger = get_logger(__name__)
@@ -176,7 +176,7 @@ class CompositeColorStripStream(ColorStripStream):
if i in self._brightness_streams:
_vs_id, vs = self._brightness_streams[i]
try:
result.append(vs.get_value())
result.append(clamp01(vs.get_value()))
except Exception:
result.append(None)
else:
@@ -660,10 +660,14 @@ class CompositeColorStripStream(ColorStripStream):
if layer.get("reverse", False):
colors = colors[::-1].copy()
# Apply per-layer brightness from value source
# Apply per-layer brightness from value source.
# clamp01 is finite-safe: it rejects nan/inf (which would
# crash the int() cast) and pins out-of-range values into
# [0,1] so the uint16 fixed-point multiply can't wrap on a
# negative. bri == 1.0 correctly skips the scale (no-op).
if i in self._brightness_streams:
_vs_id, vs = self._brightness_streams[i]
bri = vs.get_value()
bri = clamp01(vs.get_value())
if bri < 1.0:
colors = (colors.astype(np.uint16) * int(bri * 256) >> 8).astype(
np.uint8
@@ -193,6 +193,7 @@ def _build_ha_entity(source, d: ValueStreamDeps):
min_ha_value=source.min_ha_value,
max_ha_value=source.max_ha_value,
smoothing=source.smoothing,
normalize=source.normalize,
ha_manager=d.ha_manager,
)
@@ -232,6 +233,7 @@ def _build_system_metrics(source, _d: ValueStreamDeps):
sensor_label=source.sensor_label,
poll_interval=source.poll_interval,
smoothing=source.smoothing,
normalize=source.normalize,
)
@@ -249,6 +251,7 @@ def _build_game_event(source, d: ValueStreamDeps):
smoothing=source.smoothing,
default_value=source.default_value,
timeout=source.timeout,
normalize=source.normalize,
event_bus=d.event_bus,
)
@@ -263,10 +266,25 @@ def _build_http(source, d: ValueStreamDeps):
min_value=source.min_value,
max_value=source.max_value,
smoothing=source.smoothing,
normalize=source.normalize,
http_endpoint_store=d.http_endpoint_store,
)
def _build_template(source, d: ValueStreamDeps):
# References other value sources via d.value_stream_manager (recursively
# acquired in start()), exactly like _build_gradient_map.
from ledgrab.core.processing.value_stream import TemplateValueStream
return TemplateValueStream(
template=source.template,
inputs=source.inputs,
default_value=source.default_value,
eval_interval=source.eval_interval,
value_stream_manager=d.value_stream_manager,
)
# ---------------------------------------------------------------------------
# Registry
# ---------------------------------------------------------------------------
@@ -290,6 +308,7 @@ STREAM_BUILDERS: dict[str, StreamBuilder] = {
"system_metrics": _build_system_metrics,
"game_event": _build_game_event,
"http": _build_http,
"template": _build_template,
}
@@ -33,7 +33,12 @@ import numpy as np
from ledgrab.core.processing import metric_readers as _metric_readers
from ledgrab.storage.base_store import EntityNotFoundError
from ledgrab.utils import get_logger
from ledgrab.utils import clamp01, get_logger
from ledgrab.utils.template_expr import (
TemplateValidationError,
compile_template,
finalize_result,
)
# Compiled once — used by ``_extract_simple_path`` on every poll.
_NAME_HEAD_RE = re.compile(r"^([^\[]*)")
@@ -53,6 +58,12 @@ if TYPE_CHECKING:
logger = get_logger(__name__)
# Runtime cap on recursive value-stream acquisition (referencing sources like
# template / gradient_map re-enter acquire() from start()). Higher than the
# storage-level MAX_VALUE_SOURCE_DEPTH (8) so legitimate chains never trip it;
# it only fires on a cycle that bypassed storage validation.
_MAX_ACQUIRE_DEPTH = 12
# ---------------------------------------------------------------------------
# Base class
@@ -904,6 +915,7 @@ class HAEntityValueStream(ValueStream):
min_ha_value: float = 0.0,
max_ha_value: float = 100.0,
smoothing: float = 0.0,
normalize: bool = True,
ha_manager: Any | None = None,
):
self._ha_source_id = ha_source_id
@@ -912,6 +924,7 @@ class HAEntityValueStream(ValueStream):
self._min_ha = min_ha_value
self._max_ha = max_ha_value
self._smoothing = smoothing
self._normalize_enabled = normalize
self._ha_manager = ha_manager
self._prev_value: float | None = None
self._raw_value: float | None = None
@@ -976,16 +989,23 @@ class HAEntityValueStream(ValueStream):
self._raw_value = raw
# Normalize to [0, 1]
ha_range = self._max_ha - self._min_ha
if abs(ha_range) < 1e-9:
normalized = 0.5
if self._normalize_enabled:
# Normalize to [0, 1] via the configured min/max range.
ha_range = self._max_ha - self._min_ha
if abs(ha_range) < 1e-9:
normalized = 0.5
else:
normalized = (raw - self._min_ha) / ha_range
normalized = max(0.0, min(1.0, normalized))
else:
normalized = (raw - self._min_ha) / ha_range
# Skip the rescale: treat the raw reading as already a 01 fraction
# (finite-safe clamp). The un-clamped magnitude stays on
# get_raw_value(); get_value() never leaves [0, 1] either way.
normalized = clamp01(raw)
normalized = max(0.0, min(1.0, normalized))
# EMA smoothing
# EMA smoothing — both branches produce a [0, 1] value, so _prev_value
# is always normalized and flipping ``normalize`` live never blends a
# raw magnitude against a fraction.
if self._smoothing > 0.0 and self._prev_value is not None:
normalized = self._smoothing * self._prev_value + (1.0 - self._smoothing) * normalized
@@ -1009,6 +1029,7 @@ class HAEntityValueStream(ValueStream):
self._min_ha = source.min_ha_value
self._max_ha = source.max_ha_value
self._smoothing = source.smoothing
self._normalize_enabled = source.normalize
# If HA source changed, swap runtime
if source.ha_source_id != old_ha_source and self._ha_manager:
@@ -1052,6 +1073,7 @@ class HTTPValueStream(ValueStream):
min_value: float,
max_value: float,
smoothing: float,
normalize: bool = True,
http_endpoint_store: "HTTPEndpointStore" | None = None,
) -> None:
self._endpoint_id = endpoint_id
@@ -1060,6 +1082,7 @@ class HTTPValueStream(ValueStream):
self._min_value = min_value
self._max_value = max_value
self._smoothing = smoothing
self._normalize_enabled = normalize
self._http_endpoint_store = http_endpoint_store
self._task: asyncio.Task | None = None
self._raw_value: Any = None
@@ -1099,12 +1122,19 @@ class HTTPValueStream(ValueStream):
except (TypeError, ValueError):
return self._prev_normalized if self._prev_normalized is not None else 0.0
rng = self._max_value - self._min_value
if abs(rng) < 1e-9:
normalized = 0.5
if self._normalize_enabled:
rng = self._max_value - self._min_value
if abs(rng) < 1e-9:
normalized = 0.5
else:
normalized = (numeric - self._min_value) / rng
normalized = max(0.0, min(1.0, normalized))
else:
normalized = (numeric - self._min_value) / rng
normalized = max(0.0, min(1.0, normalized))
# Skip the rescale: treat the extracted number as already a 01
# fraction (finite-safe clamp). The verbatim extracted value (which
# may be non-numeric) stays on get_raw_value(); get_value() is always
# a float in [0, 1].
normalized = clamp01(numeric)
if self._smoothing > 0.0 and self._prev_normalized is not None:
normalized = (
@@ -1128,6 +1158,7 @@ class HTTPValueStream(ValueStream):
self._min_value = source.min_value
self._max_value = source.max_value
self._smoothing = source.smoothing
self._normalize_enabled = source.normalize
async def _poll_loop(self) -> None:
from ledgrab.utils.safe_source import safe_request_bounded
@@ -1365,6 +1396,168 @@ class GradientMapValueStream(ValueStream):
self._inner_stream = None
# ---------------------------------------------------------------------------
# Template (Jinja expression combinator)
# ---------------------------------------------------------------------------
class TemplateValueStream(ValueStream):
"""Evaluates a hardened sandboxed-Jinja expression over the live values of
other value sources (the system's float combinator).
Acquires each referenced input stream from the manager on ``start()`` and
releases it on ``stop()`` — the same ref-counted protocol as
:class:`GradientMapValueStream`, but over a *set* of inputs. Acquisition is
tracked per unique ``value_source_id`` so two variables bound to the same
source share one ref. ``get_value()`` builds a primitives-only context
(each input's normalized ``get_value()`` plus a float-only ``raw`` dict),
evaluates the compiled expression, then coerces / NaN-guards / clamps the
result. Any error — or an uncompilable template — falls back to
``default_value``. An optional ``eval_interval`` caches the last result to
bound steady-state evaluation cost.
"""
def __init__(
self,
template: str,
inputs: List[dict],
default_value: float = 0.0,
eval_interval: float | None = None,
value_stream_manager: "ValueStreamManager" | None = None,
):
self._template = template
self._inputs = [dict(i) for i in (inputs or [])]
self._default = max(0.0, min(1.0, float(default_value)))
self._eval_interval = float(eval_interval) if eval_interval else 0.0
self._vsm = value_stream_manager
self._streams_by_id: Dict[str, ValueStream] = {} # value_source_id -> stream
self._expr = self._compile(template)
self._last_value: float = self._default
self._last_eval: float = 0.0
self._has_value = False
self._error_logged = False
@staticmethod
def _compile(template: str):
"""Compile once; return ``None`` (→ always default) on invalid template.
Creation should already have rejected invalid templates via the factory;
this is defense in depth so a bad row never crashes the engine.
"""
try:
return compile_template(template)
except TemplateValidationError as e:
logger.warning("TemplateValueStream: invalid template, using default (%s)", e)
return None
@staticmethod
def _unique_ids(inputs: List[dict]) -> set:
return {i["value_source_id"] for i in inputs if i.get("value_source_id")}
def start(self) -> None:
if not self._vsm:
return
for vs_id in self._unique_ids(self._inputs):
try:
self._streams_by_id[vs_id] = self._vsm.acquire(vs_id)
except Exception as e:
logger.warning("TemplateValueStream: failed to acquire input %s: %s", vs_id, e)
def stop(self) -> None:
if self._vsm:
for vs_id in list(self._streams_by_id):
try:
self._vsm.release(vs_id)
except Exception as e:
logger.debug("TemplateValueStream: release %s failed: %s", vs_id, e)
self._streams_by_id.clear()
self._has_value = False
def get_value(self) -> float:
if self._expr is None:
return self._default
if (
self._eval_interval > 0.0
and self._has_value
and (time.monotonic() - self._last_eval) < self._eval_interval
):
return self._last_value
try:
ctx: Dict[str, Any] = {}
raw: Dict[str, float] = {}
for inp in self._inputs:
name = inp.get("name")
vs_id = inp.get("value_source_id")
if not name or not vs_id:
continue
stream = self._streams_by_id.get(vs_id)
if stream is None:
continue
ctx[name] = float(stream.get_value())
getter = getattr(stream, "get_raw_value", None)
if getter is not None:
rv = getter()
if rv is not None:
try:
raw[name] = float(rv)
except (TypeError, ValueError):
# Non-numeric raw values never cross into the sandbox.
pass
ctx["raw"] = raw
# Globals (min/max/abs/round/clamp) resolve from SANDBOX_ENV.globals.
value = finalize_result(self._expr(**ctx), self._default)
except Exception as e:
if not self._error_logged:
logger.warning("TemplateValueStream eval error (using default): %s", e)
self._error_logged = True
value = self._default
self._last_value = value
self._last_eval = time.monotonic()
self._has_value = True
return value
def update_source(self, source: "ValueSource") -> None:
from ledgrab.storage.value_source import TemplateValueSource
if not isinstance(source, TemplateValueSource):
return
if source.template != self._template:
self._template = source.template
self._expr = self._compile(source.template)
self._error_logged = False
self._default = max(0.0, min(1.0, float(source.default_value)))
self._eval_interval = float(source.eval_interval) if source.eval_interval else 0.0
new_inputs = [dict(i) for i in (source.inputs or [])]
old_ids = set(self._streams_by_id)
new_ids = self._unique_ids(new_inputs)
if self._vsm:
# Release-before-acquire (mirrors GradientMapValueStream); safe under
# ref-counting. Unchanged ids keep their existing stream untouched.
for vs_id in old_ids - new_ids:
try:
self._vsm.release(vs_id)
except Exception as e:
logger.debug("TemplateValueStream: release %s failed: %s", vs_id, e)
self._streams_by_id.pop(vs_id, None)
for vs_id in new_ids - old_ids:
try:
self._streams_by_id[vs_id] = self._vsm.acquire(vs_id)
except Exception as e:
logger.warning("TemplateValueStream: acquire %s failed: %s", vs_id, e)
# Rebuild inputs (re-keys variable names on rename even when id unchanged,
# since get_value() maps name -> stream via value_source_id each tick).
self._inputs = new_inputs
self._has_value = False
# ---------------------------------------------------------------------------
# CSS Extract
# ---------------------------------------------------------------------------
@@ -1501,6 +1694,7 @@ class SystemMetricsValueStream(ValueStream):
sensor_label: str = "",
poll_interval: float = 1.0,
smoothing: float = 0.0,
normalize: bool = True,
):
self._metric = metric
self._min_val = min_value
@@ -1510,6 +1704,7 @@ class SystemMetricsValueStream(ValueStream):
self._sensor_label = sensor_label
self._poll_interval = max(0.1, poll_interval)
self._smoothing = smoothing
self._normalize_enabled = normalize
self._prev_value: float | None = None
self._raw_value: float | None = None
self._last_poll: float = 0.0
@@ -1548,10 +1743,16 @@ class SystemMetricsValueStream(ValueStream):
raw = self._read_metric()
self._raw_value = raw
# Normalize
normalized = self._normalize(raw)
if self._normalize_enabled:
normalized = self._normalize(raw)
else:
# Skip the rescale: treat the raw reading as already a 01 fraction
# (finite-safe clamp). The un-clamped reading stays on
# get_raw_value(); get_value() never leaves [0, 1].
normalized = clamp01(raw)
# EMA smoothing
# EMA smoothing — both branches output [0, 1], so _prev_value is always
# normalized and a live ``normalize`` flip never blends raw vs fraction.
if self._smoothing > 0.0 and self._prev_value is not None:
normalized = self._smoothing * self._prev_value + (1.0 - self._smoothing) * normalized
@@ -1599,6 +1800,7 @@ class SystemMetricsValueStream(ValueStream):
self._sensor_label = source.sensor_label
self._poll_interval = max(0.1, source.poll_interval)
self._smoothing = source.smoothing
self._normalize_enabled = source.normalize
# ---------------------------------------------------------------------------
@@ -1644,6 +1846,10 @@ class ValueStreamManager:
self._http_endpoint_store = http_endpoint_store
self._streams: Dict[str, ValueStream] = {} # vs_id → stream
self._ref_counts: Dict[str, int] = {} # vs_id → ref count
# Recursion-depth backstop for referencing sources (template / gradient
# map). A cycle that slipped past storage validation (e.g. a hand-edited
# DB or restored backup) would otherwise overflow the stack at acquire().
self._acquire_depth = 0
# Tracks which clock_id (if any) was acquired for each stream so we
# can release/swap it without re-querying the store at teardown time.
self._stream_clock_ids: Dict[str, str] = {} # vs_id → clock_id
@@ -1659,9 +1865,29 @@ class ValueStreamManager:
logger.info(f"Shared value stream {vs_id} (refs={self._ref_counts[vs_id]})")
return self._streams[vs_id]
if self._acquire_depth >= _MAX_ACQUIRE_DEPTH:
logger.warning(
"Value source acquire depth limit (%d) reached at %s; returning "
"static fallback (possible reference cycle)",
_MAX_ACQUIRE_DEPTH,
vs_id,
)
# The intermediate referencing streams built while descending a
# cyclic chain are not stop()'d here — but this only triggers on a
# stored cycle that storage validation already rejects (e.g. a
# hand-edited DB / corrupt restore), so those transient objects are
# simply garbage-collected. Normal graphs never reach this depth.
return StaticValueStream(0.5)
source = self._value_source_store.get_source(vs_id)
stream = self._create_stream(source, vs_id)
stream.start()
# Increment around create+start: a referencing stream (template /
# gradient_map) re-enters acquire() from its own start().
self._acquire_depth += 1
try:
stream = self._create_stream(source, vs_id)
stream.start()
finally:
self._acquire_depth -= 1
self._streams[vs_id] = stream
self._ref_counts[vs_id] = 1
logger.info(f"Acquired value stream {vs_id} (type={source.source_type})")
@@ -15,7 +15,7 @@ import time
from typing import TYPE_CHECKING
from ledgrab.core.processing.value_stream import ValueStream
from ledgrab.utils import get_logger
from ledgrab.utils import clamp01, get_logger
if TYPE_CHECKING:
from ledgrab.core.game_integration.event_bus import GameEventBus
@@ -41,6 +41,7 @@ class GameEventValueStream(ValueStream):
smoothing: float = 0.0,
default_value: float = 0.5,
timeout: float = 5.0,
normalize: bool = True,
event_bus: "GameEventBus" | None = None,
) -> None:
self._event_type = event_type
@@ -49,10 +50,15 @@ class GameEventValueStream(ValueStream):
self._smoothing = max(0.0, min(1.0, smoothing))
self._default_value = max(0.0, min(1.0, default_value))
self._timeout = max(0.0, timeout)
# When False, skip the min/max rescale: the [0,1] output clamps the raw
# value as-is. get_value() stays in [0,1] either way; the un-clamped
# value is exposed via get_raw_value() for templates/automations.
self._normalize_enabled = normalize
self._event_bus = event_bus
self._lock = threading.Lock()
self._current_value: float = self._default_value
self._current_raw: float | None = None
self._last_event_time: float | None = None
self._subscription_id: str | None = None
self._has_received_event: bool = False
@@ -82,11 +88,18 @@ class GameEventValueStream(ValueStream):
self._subscription_id = None
with self._lock:
self._current_value = self._default_value
self._current_raw = None
self._last_event_time = None
self._has_received_event = False
def get_value(self) -> float:
"""Return current normalized value (0.0-1.0), or default if timed out."""
"""Return current value in [0,1], or default_value if timed out.
Always in [0,1]: ``_current_value`` holds the smoothed output computed
at event time under the active ``normalize`` mode (rescaled, or the raw
value clamped into [0,1]). ``default_value`` is itself in [0,1], so the
timeout fallback is valid in both modes.
"""
with self._lock:
if not self._has_received_event:
return self._default_value
@@ -98,6 +111,15 @@ class GameEventValueStream(ValueStream):
return self._current_value
def get_raw_value(self) -> float | None:
"""Return the last raw game value before normalization.
``None`` until the first event arrives (mirrors HA/HTTP/SystemMetrics).
Exposes the un-clamped magnitude to template ``raw[]`` and automations.
"""
with self._lock:
return self._current_raw
def get_color(self) -> tuple:
"""Game event value source only provides scalars, not colors."""
raise NotImplementedError("GameEventValueStream does not produce colors")
@@ -115,6 +137,7 @@ class GameEventValueStream(ValueStream):
self._smoothing = max(0.0, min(1.0, source.smoothing))
self._default_value = max(0.0, min(1.0, source.default_value))
self._timeout = max(0.0, source.timeout)
self._normalize_enabled = source.normalize
def _on_event(self, event: "GameEvent") -> None:
"""EventBus callback — normalize and apply smoothing.
@@ -122,14 +145,17 @@ class GameEventValueStream(ValueStream):
Called from the publisher's thread; must be thread-safe.
"""
raw_value = event.value
normalized = self._normalize(raw_value)
# Output is always in [0,1]: rescale via min/max, or (normalize off)
# clamp the raw value as-is. The un-clamped raw is kept for get_raw_value().
out = self._normalize(raw_value) if self._normalize_enabled else clamp01(raw_value)
with self._lock:
self._current_raw = raw_value
if self._smoothing > 0.0 and self._has_received_event:
alpha = 1.0 - self._smoothing
normalized = alpha * normalized + self._smoothing * self._current_value
out = alpha * out + self._smoothing * self._current_value
self._current_value = normalized
self._current_value = out
self._last_event_time = time.monotonic()
self._has_received_event = True
@@ -298,6 +298,214 @@ select.field-invalid {
line-height: 1.3;
}
.field-ok-msg {
display: flex;
align-items: center;
gap: 4px;
color: var(--success-color);
font-size: 0.78rem;
margin-top: 4px;
line-height: 1.3;
}
.field-ok-msg .icon { width: 14px; height: 14px; }
.field-error-msg .icon { width: 14px; height: 14px; vertical-align: -2px; margin-right: 3px; }
.field-warn-msg {
display: block;
color: var(--text-muted);
font-size: 0.76rem;
margin-top: 4px;
line-height: 1.35;
}
/* ── Jinja expression editor ─────────────────────────────────────
A transparent <textarea> layered over a synced highlight <pre>.
Both share identical type metrics so the colour layer aligns with
the typed glyphs. The shared box rules below MUST stay in sync. */
.jinja-editor {
position: relative;
display: block;
border: 1px solid var(--border-color);
border-radius: var(--radius-sm);
background: var(--surface-2, color-mix(in srgb, var(--text-color) 6%, var(--bg-color)));
overflow: hidden;
transition: border-color 0.15s ease, box-shadow 0.15s ease;
}
.jinja-editor:focus-within {
border-color: var(--primary-color);
box-shadow: 0 0 0 2px color-mix(in srgb, var(--primary-color) 18%, transparent);
}
.jinja-editor.field-invalid {
border-color: var(--danger-color);
box-shadow: 0 0 0 2px color-mix(in srgb, var(--danger-color) 15%, transparent);
}
/* Shared metrics — applied identically to both layers. */
.jinja-hl,
.jinja-input {
margin: 0;
padding: 10px 12px;
font-family: var(--font-mono);
font-size: 0.86rem;
line-height: 1.55;
letter-spacing: 0;
tab-size: 2;
white-space: pre;
word-wrap: normal;
overflow: auto;
box-sizing: border-box;
}
.jinja-hl {
position: absolute;
inset: 0;
pointer-events: none;
color: var(--text-color);
overflow: hidden; /* scroll is mirrored from the textarea */
user-select: none;
}
.jinja-input {
position: relative;
display: block;
width: 100%;
min-height: 4.6em; /* ~3 lines */
resize: vertical;
border: none;
background: transparent;
color: transparent; /* glyphs are painted by .jinja-hl underneath */
caret-color: var(--text-color);
outline: none;
}
/* The global `textarea:focus` rule (higher specificity than `.jinja-input`)
sets an opaque background; on this overlay editor that would cover the
`.jinja-hl` highlight layer and hide the transparent glyphs on focus. Keep
the textarea fully transparent — the focus ring is drawn by the wrapper's
`.jinja-editor:focus-within`. */
.jinja-input:focus {
background: transparent;
color: transparent;
box-shadow: none;
}
.jinja-input::selection { background: color-mix(in srgb, var(--primary-color) 30%, transparent); }
/* Token palette — restrained, three accents plus muted operators. */
.jinja-hl .tok-str { color: var(--success-color); }
.jinja-hl .tok-num { color: #d19a66; }
.jinja-hl .tok-fn { color: var(--primary-color); font-weight: 600; }
.jinja-hl .tok-raw { color: #c678dd; font-style: italic; }
.jinja-hl .tok-var { color: #61afef; }
.jinja-hl .tok-op { color: var(--text-muted); }
/* ── Template-input rows ─────────────────────────────────────── */
.template-inputs-list {
display: flex;
flex-direction: column;
gap: 8px;
margin-bottom: 8px;
}
.template-input-row {
display: grid;
grid-template-columns: minmax(96px, 0.42fr) minmax(0, 1fr) auto;
align-items: center;
gap: 8px;
}
.template-input-name {
font-family: var(--font-mono);
font-size: 0.84rem;
}
.template-input-row .entity-select-trigger { width: 100%; }
.template-inputs-empty {
color: var(--text-muted);
font-size: 0.82rem;
padding: 6px 2px;
}
/* ── Expression hints panel ──────────────────────────────────── */
.jinja-hints {
margin-top: 10px;
border: 1px solid var(--border-color);
border-radius: var(--radius-sm);
background: color-mix(in srgb, var(--text-color) 3%, transparent);
}
.jinja-hints > summary {
cursor: pointer;
list-style: none;
padding: 8px 12px;
font-size: 0.8rem;
font-weight: 600;
color: var(--text-secondary);
user-select: none;
}
.jinja-hints > summary::-webkit-details-marker { display: none; }
.jinja-hints > summary::before {
content: '';
display: inline-block;
margin-right: 6px;
transition: transform 0.15s ease;
color: var(--text-muted);
}
.jinja-hints[open] > summary::before { transform: rotate(90deg); }
.jinja-hints-body {
padding: 4px 14px 12px;
font-size: 0.8rem;
line-height: 1.5;
color: var(--text-secondary);
}
.jinja-hints-body code,
.jinja-hints-body .jinja-hints-vars code {
font-family: var(--font-mono);
font-size: 0.78rem;
padding: 1px 5px;
border-radius: var(--radius-sm);
background: color-mix(in srgb, var(--text-color) 8%, transparent);
color: var(--text-color);
}
.jinja-hints-section { margin-top: 8px; }
.jinja-hints-section-title {
display: block;
font-size: 0.72rem;
text-transform: uppercase;
letter-spacing: 0.06em;
color: var(--text-muted);
margin-bottom: 3px;
}
.jinja-hints-vars {
display: flex;
flex-wrap: wrap;
gap: 5px;
}
.jinja-hints-vars .tok-var-chip {
font-family: var(--font-mono);
font-size: 0.76rem;
padding: 1px 6px;
border-radius: var(--radius-pill);
background: color-mix(in srgb, #61afef 16%, transparent);
color: #61afef;
}
.jinja-hints-examples { margin: 4px 0 0; padding-left: 0; list-style: none; }
.jinja-hints-examples li { margin: 3px 0; }
.jinja-hints-empty { color: var(--text-muted); font-size: 0.76rem; font-style: italic; }
.jinja-hints-time { color: var(--text-muted); font-size: 0.76rem; }
/* Remove browser autofill styling */
input:-webkit-autofill,
input:-webkit-autofill:hover,
+6 -1
View File
@@ -184,9 +184,11 @@ import {
showValueSourceModal, closeValueSourceModal, saveValueSource,
editValueSource, cloneValueSource, deleteValueSource, onValueSourceTypeChange,
onDaylightVSRealTimeChange,
onValueSourceNormalizeChange,
addSchedulePoint,
addAnimatedColor, removeAnimatedColor,
addColorSchedulePoint, removeColorSchedulePoint,
addTemplateInput,
testValueSource, closeTestValueSourceModal,
} from './features/value-sources.ts';
@@ -207,7 +209,7 @@ import {
import {
loadGraphEditor,
toggleGraphLegend, toggleGraphMinimap, toggleGraphFilter, toggleGraphFilterTypes, toggleGraphHelp, graphUndo, graphRedo,
graphFitAll, graphZoomIn, graphZoomOut, graphRelayout, graphShowIssues, graphExportTopology,
graphFitAll, graphZoomIn, graphZoomOut, graphRelayout, graphShowIssues, graphExportTopology, graphDuplicateSelection,
graphToggleFullscreen, graphAddEntity, toggleToolbarOverflow, closeToolbarOverflow,
} from './features/graph-editor.ts';
@@ -579,11 +581,13 @@ Object.assign(window, {
deleteValueSource,
onValueSourceTypeChange,
onDaylightVSRealTimeChange,
onValueSourceNormalizeChange,
addSchedulePoint,
addAnimatedColor,
removeAnimatedColor,
addColorSchedulePoint,
removeColorSchedulePoint,
addTemplateInput,
testValueSource,
closeTestValueSourceModal,
@@ -627,6 +631,7 @@ Object.assign(window, {
graphRelayout,
graphShowIssues,
graphExportTopology,
graphDuplicateSelection,
graphToggleFullscreen,
graphAddEntity,
toggleToolbarOverflow,
@@ -8,6 +8,7 @@ import {
streamsCache, colorStripSourcesCache, valueSourcesCache,
audioSourcesCache, outputTargetsCache, automationsCacheObj,
} from './state.ts';
import { logError } from './log.ts';
/** Result of the backend pre-write connection validator. */
export interface ConnectionValidation {
@@ -62,6 +63,69 @@ export async function getDependents(kind: string, id: string): Promise<GraphDepe
}
}
/* ── Schema drift guard (B4) ───────────────────────────────────── */
// Backend-declared reference fields the frontend intentionally does NOT drag-edit
// (the backend still lists them for topology/dependents completeness, so the drift
// check ignores them). Two categories:
// (a) the source kind is not a graph node — nothing to drag from.
// (b) the owning entity's PUT route is not safely partial-writable via a single
// dragged field, so it's edited through the entity editor instead.
const _DRIFT_EXCLUDE = new Set<string>([
// (a) no graph node for the source kind — nothing to drag from:
'value_source|ha_source_id',
'value_source|gradient_id',
// (b) not safely partial-PUT-able from a single dragged field:
'device|default_css_processing_template_id', // a one-field device PUT could null the URL
// (c) editable in principle but not surfaced as a graph edge yet:
'value_source|clock_id', // sync_clock → animated_colour value-source timing
]);
let _driftChecked = false;
interface SchemaConnection { target_kind: string; field: string; editable: boolean; }
/**
* Dev safety net for the B4 finding: warn once if the frontend CONNECTION_MAP's
* editable set diverges from the backend `/graph/schema` (the drift the manual
* "10-step checklist" guards against). Read-only — never affects the graph.
* No-op against older servers without the endpoint.
*
* Note: this references `CONNECTION_MAP` (const) and `_isEditable` (fn) declared
* later in the module — safe because it is only ever invoked at runtime (from
* `loadGraphEditor`), well after module initialization.
*/
export async function checkSchemaDrift(): Promise<void> {
if (_driftChecked) return;
_driftChecked = true;
let connections: SchemaConnection[];
try {
connections = (await apiGet<{ connections: SchemaConnection[] }>('/graph/schema')).connections || [];
} catch {
return; // endpoint unavailable — nothing to compare against
}
const k = (kind: string, field: string): string => `${kind}|${field}`;
const backend = new Set<string>();
for (const c of connections) {
if (c.editable && !_DRIFT_EXCLUDE.has(k(c.target_kind, c.field))) backend.add(k(c.target_kind, c.field));
}
const frontend = new Set<string>();
for (const c of CONNECTION_MAP) {
if (_isEditable(c) && !_DRIFT_EXCLUDE.has(k(c.targetKind, c.field))) frontend.add(k(c.targetKind, c.field));
}
const missingOnFrontend = [...backend].filter(key => !frontend.has(key));
const missingOnBackend = [...frontend].filter(key => !backend.has(key));
if (missingOnFrontend.length || missingOnBackend.length) {
logError('graph.schema_drift', new Error(
`CONNECTION_MAP drift vs /graph/schema — editable fields missing on frontend: ` +
`[${missingOnFrontend.join(', ')}]; missing on backend: [${missingOnBackend.join(', ')}]`,
));
}
}
/* ── Types ────────────────────────────────────────────────────── */
interface ConnectionEntry {
@@ -112,17 +176,24 @@ const CONNECTION_MAP: ConnectionEntry[] = [
{ targetKind: 'value_source', field: 'value_source_id', sourceKind: 'value_source', edgeType: 'value', endpoint: '/value-sources/{id}', cache: valueSourcesCache },
{ targetKind: 'value_source', field: 'gradient_id', sourceKind: 'gradient', edgeType: 'gradient', endpoint: '/value-sources/{id}', cache: valueSourcesCache },
{ targetKind: 'value_source', field: 'color_strip_source_id', sourceKind: 'color_strip_source', edgeType: 'colorstrip', endpoint: '/value-sources/{id}', cache: valueSourcesCache },
// TODO: template.inputs[] drag-wiring — template value sources reference one
// inner value source per bound input (field path inputs[<name>].value_source_id).
// These render as read-only 'value' edges in graph-layout for now; a list-aware
// CONNECTION_MAP entry (with list/index/ref slot metadata) would make them
// re-wirable from the graph the way composite layers / mapped zones are.
// Color strip sources
{ targetKind: 'color_strip_source', field: 'picture_source_id', sourceKind: 'picture_source', edgeType: 'picture', endpoint: '/color-strip-sources/{id}', cache: colorStripSourcesCache },
{ targetKind: 'color_strip_source', field: 'audio_source_id', sourceKind: 'audio_source', edgeType: 'audio', endpoint: '/color-strip-sources/{id}', cache: colorStripSourcesCache },
{ targetKind: 'color_strip_source', field: 'clock_id', sourceKind: 'sync_clock', edgeType: 'clock', endpoint: '/color-strip-sources/{id}', cache: colorStripSourcesCache },
// Processed strip: input source + processing template (apply_update is partial-safe)
{ targetKind: 'color_strip_source', field: 'input_source_id', sourceKind: 'color_strip_source', edgeType: 'colorstrip', endpoint: '/color-strip-sources/{id}', cache: colorStripSourcesCache },
{ targetKind: 'color_strip_source', field: 'processing_template_id', sourceKind: 'cspt', edgeType: 'template', endpoint: '/color-strip-sources/{id}', cache: colorStripSourcesCache },
// Output targets
{ targetKind: 'output_target', field: 'device_id', sourceKind: 'device', edgeType: 'device', endpoint: '/output-targets/{id}', cache: outputTargetsCache },
{ targetKind: 'output_target', field: 'color_strip_source_id', sourceKind: 'color_strip_source', edgeType: 'colorstrip', endpoint: '/output-targets/{id}', cache: outputTargetsCache },
{ targetKind: 'output_target', field: 'brightness.source_id', sourceKind: 'value_source', edgeType: 'value', endpoint: '/output-targets/{id}', cache: outputTargetsCache, nested: true, bindable: true },
{ targetKind: 'output_target', field: 'picture_source_id', sourceKind: 'picture_source', edgeType: 'picture', endpoint: '/output-targets/{id}', cache: outputTargetsCache },
// Automations
{ targetKind: 'automation', field: 'scene_preset_id', sourceKind: 'scene_preset', edgeType: 'scene', endpoint: '/automations/{id}', cache: automationsCacheObj },
@@ -206,6 +277,25 @@ export function getConnectionByField(targetKind: string, field: string): Connect
return CONNECTION_MAP.find(c => c.targetKind === targetKind && c.field === field && _isEditable(c));
}
/**
* Entity kinds whose per-entity PUT route validates the body against a Pydantic
* **discriminated union** (`Body(discriminator=...)`). Such a route 422s unless
* the body echoes the discriminator field, so a partial wiring write (just a
* reference field) is rejected outright. Maps the target kind → the
* discriminator's body-field name; the value is the target's *current* subtype,
* which we read back from the entity immediately before the write.
*
* Without this, drag-to-wire silently fails for nearly every source kind. Keep
* in sync with the backend `NODE_TYPE_FIELD` map in `api/graph_schema.py`.
*/
const _DISCRIMINATOR_FIELD: Readonly<Record<string, string>> = {
picture_source: 'stream_type',
audio_source: 'source_type',
value_source: 'source_type',
color_strip_source: 'source_type',
output_target: 'target_type',
};
/**
* Update a connection: set the reference field on the target entity.
* @param {string} targetId - The target entity's ID
@@ -226,6 +316,21 @@ export async function updateConnection(targetId: string, targetKind: string, fie
? { [field.split('.')[0]]: { source_id: newSourceId || '' } }
: { [field]: newSourceId };
// Discriminated-union PUT routes reject a body without their discriminator.
// Echo the target's current subtype so a partial wiring write validates
// instead of 422-ing. Best-effort: a failed read leaves the PUT to fail as
// before — it never makes things worse.
const discrimField = _DISCRIMINATOR_FIELD[targetKind];
if (discrimField) {
try {
const current = await apiGet<Record<string, unknown>>(url);
const tag = current?.[discrimField];
if (typeof tag === 'string' && tag) body[discrimField] = tag;
} catch {
/* leave body as-is; the PUT below will surface any error */
}
}
try {
await apiPut(url, body);
// Invalidate the relevant cache so data refreshes
@@ -243,4 +348,115 @@ export async function detachConnection(targetId: string, targetKind: string, fie
return updateConnection(targetId, targetKind, field, '');
}
/* ── List-element slots (composite layers / mapped zones) ──────────── */
/**
* Targets that hold *list* reference slots. Editing one element means
* re-PUTting the whole list, so we map the kind → its endpoint + cache.
* (Only color strip sources have list slots today: composite `layers`,
* mapped `zones`.)
*/
const _LIST_SLOT_TARGET: Readonly<Record<string, { endpoint: string; cache: { invalidate(): void } }>> = {
color_strip_source: { endpoint: '/color-strip-sources/{id}', cache: colorStripSourcesCache },
};
/**
* Re-wire a single element of a list reference slot — e.g. a composite
* `layers[index].source_id` or a mapped `zones[index].source_id`.
*
* The owning entity's PUT replaces the *entire* list, so this reads the entity
* back, copies every element verbatim, changes only `list[index][refField]`,
* and PUTs the full list (plus the discriminator). Echoing the existing element
* objects is what preserves each layer/zone's other settings (blend mode,
* opacity, LED range, per-layer brightness/template, …) — a naive partial write
* would silently drop that config.
*
* @param newSourceId New source id, or '' to clear (only valid for optional refs).
* @returns Promise<boolean> success
*/
export async function updateListSlotConnection(
targetId: string,
targetKind: string,
listField: string,
index: number,
refField: string,
newSourceId: string | null,
expectedCurrent?: string | null,
): Promise<boolean> {
const target = _LIST_SLOT_TARGET[targetKind];
if (!target || !Number.isInteger(index) || index < 0) return false;
const url = target.endpoint.replace('{id}', targetId);
try {
const current = await apiGet<Record<string, unknown>>(url);
const list = current?.[listField];
if (!Array.isArray(list) || index >= list.length) return false;
// Optimistic-concurrency guard: `index` is positional, so if the list was
// reordered/edited out-of-band (e.g. via the entity editor) between render
// and write — or between an action and its undo/redo — that index now points
// at a *different* element. Refuse rather than rewrite the wrong slot.
if (expectedCurrent != null) {
const el = list[index] as Record<string, unknown>;
const actual = typeof el?.[refField] === 'string' ? (el[refField] as string) : '';
if (actual !== expectedCurrent) return false;
}
// Copy every element; change only the one ref on the targeted element.
// (`|| ''` clears the ref — only valid for *optional* refs; the graph only
// re-wires the required `source_id`, so callers always pass a real id here.)
const nextList = list.map((el, i) =>
i === index
? { ...(el as Record<string, unknown>), [refField]: newSourceId || '' }
: { ...(el as Record<string, unknown>) },
);
const body: Record<string, unknown> = { [listField]: nextList };
// Discriminated-union PUT routes need the subtype echoed (see updateConnection).
const discrimField = _DISCRIMINATOR_FIELD[targetKind];
if (discrimField) {
const tag = current[discrimField];
if (typeof tag === 'string' && tag) body[discrimField] = tag;
}
await apiPut(url, body);
target.cache.invalidate();
return true;
} catch {
return false;
}
}
/* ── Subgraph duplication (D6) ─────────────────────────────────────── */
/** Result of `POST /graph/duplicate` (server-side clone of a selected subgraph). */
export interface DuplicateResult {
id_map: Record<string, string>;
created: Array<{ id: string; kind: string; name: string }>;
skipped: Array<{ id: string; reason: string }>;
warnings: Array<{ id: string; reason: string }>;
}
/**
* Server-side duplicate of a selected subgraph: the backend deep-clones the
* value / colour-strip sources among `nodeIds` with fresh ids and rewires
* references that point *within* the selection (shared deps stay shared).
* Returns the result, or `null` on failure. Invalidates the affected caches so
* a subsequent graph reload shows the clones.
*/
export async function duplicateSubgraph(
nodeIds: string[], nameSuffix?: string,
): Promise<DuplicateResult | null> {
try {
const body: Record<string, unknown> = { node_ids: nodeIds };
if (nameSuffix) body.name_suffix = nameSuffix;
const res = await apiPost<DuplicateResult>('/graph/duplicate', body);
valueSourcesCache.invalidate();
colorStripSourcesCache.invalidate();
return res;
} catch {
return null;
}
}
export { CONNECTION_MAP };
@@ -19,6 +19,9 @@ interface GraphEdge {
type: string;
field?: string;
editable?: boolean;
/** List-element reference (composite layer / mapped zone) — exposed as
* `data-slot-*` so the editor can re-wire just this slot. */
slot?: { list: string; index: number; ref: string };
points?: { x: number; y: number }[] | null;
fromNode?: GraphNodeRect;
toNode?: GraphNodeRect;
@@ -124,6 +127,12 @@ function _renderEdge(edge: GraphEdge): SVGElement {
'data-to': to,
'data-field': field || '',
});
// List-element reference: expose the slot so the editor can re-wire it.
if (edge.slot) {
path.setAttribute('data-slot-list', edge.slot.list);
path.setAttribute('data-slot-index', String(edge.slot.index));
path.setAttribute('data-slot-ref', edge.slot.ref);
}
// Tooltip
const title = svgEl('title');
@@ -29,6 +29,10 @@ interface LayoutEdge {
label: string;
type: string;
editable: boolean;
/** For list-element references (composite layers / mapped zones): which list,
* which element index, and the reference field on that element. Lets the
* editor re-wire one slot without disturbing its siblings. */
slot?: { list: string; index: number; ref: string };
}
interface LayoutResult {
@@ -236,7 +240,7 @@ function buildGraph(e: EntitiesInput): { nodes: LayoutNode[]; edges: LayoutEdge[
nodeByIdLocal.set(id, node);
}
function addEdge(from: string, to: string, field: string, label: string = ''): void {
function addEdge(from: string, to: string, field: string, label: string = '', slot?: { list: string; index: number; ref: string }): void {
if (!from || !to) return;
// The referrer (`to`) is always a current entity in these loops; if the
// referenced entity (`from`) is missing, the reference is dangling —
@@ -254,7 +258,7 @@ function buildGraph(e: EntitiesInput): { nodes: LayoutNode[]; edges: LayoutEdge[
);
// Edges with dotted fields are nested (composite layers, zones, etc.) — not drag-editable
const editable = !field.includes('.');
edges.push({ from, to, field, label, type, editable });
edges.push({ from, to, field, label, type, editable, ...(slot ? { slot } : {}) });
}
// Every entity may carry a custom `icon` (+ `icon_color`); pass them through
@@ -348,6 +352,21 @@ function buildGraph(e: EntitiesInput): { nodes: LayoutNode[]; edges: LayoutEdge[
for (const s of e.valueSources || []) {
if (s.audio_source_id) addEdge(s.audio_source_id, s.id, 'audio_source_id');
if (s.picture_source_id) addEdge(s.picture_source_id, s.id, 'picture_source_id');
// Derived value sources: gradient_map derives from an inner value source;
// css_extract derives from a color strip. Both are real, runtime-resolved
// references (and drag-editable) — render them so they're visible.
if (s.value_source_id) addEdge(s.value_source_id, s.id, 'value_source_id');
if (s.color_strip_source_id) addEdge(s.color_strip_source_id, s.id, 'color_strip_source_id');
// Template value sources reference one inner value source per bound input.
// Each `inputs[].value_source_id` is a real 'value' edge; the dotted field
// path marks it non-editable (drag-wiring deferred — see graph-connections).
if (s.source_type === 'template' && Array.isArray(s.inputs)) {
s.inputs.forEach((inp: any) => {
if (inp?.value_source_id) {
addEdge(inp.value_source_id, s.id, `inputs[${inp.name}].value_source_id`);
}
});
}
}
// Color strip source edges
@@ -360,19 +379,20 @@ function buildGraph(e: EntitiesInput): { nodes: LayoutNode[]; edges: LayoutEdge[
if (s.input_source_id) addEdge(s.input_source_id, s.id, 'input_source_id');
if (s.processing_template_id) addEdge(s.processing_template_id, s.id, 'processing_template_id');
// Composite layers
// Composite layers — carry the slot index so each `layer.source_id`
// edge can be re-wired individually from the graph (siblings untouched).
if (s.layers) {
for (const layer of s.layers) {
if (layer.source_id) addEdge(layer.source_id, s.id, 'layer.source_id');
s.layers.forEach((layer: any, i: number) => {
if (layer.source_id) addEdge(layer.source_id, s.id, 'layer.source_id', '', { list: 'layers', index: i, ref: 'source_id' });
if (layer.brightness_source_id) addEdge(layer.brightness_source_id, s.id, 'layer.brightness_source_id');
}
});
}
// Mapped zones
// Mapped zones — carry the slot index (re-wirable from the graph).
if (s.zones) {
for (const zone of s.zones) {
if (zone.source_id) addEdge(zone.source_id, s.id, 'zone.source_id');
}
s.zones.forEach((zone: any, i: number) => {
if (zone.source_id) addEdge(zone.source_id, s.id, 'zone.source_id', '', { list: 'zones', index: i, ref: 'source_id' });
});
}
// Advanced picture calibration lines
@@ -405,7 +425,6 @@ function buildGraph(e: EntitiesInput): { nodes: LayoutNode[]; edges: LayoutEdge[
if (bvsId) addEdge(bvsId, t.id, 'brightness.source_id');
const transVsId = bindableSourceId(t.transition);
if (transVsId) addEdge(transVsId, t.id, 'transition.source_id');
if (t.picture_source_id) addEdge(t.picture_source_id, t.id, 'picture_source_id');
// KC target settings
if (t.settings) {
if (t.settings.pattern_template_id) addEdge(t.settings.pattern_template_id, t.id, 'settings.pattern_template_id');
@@ -106,6 +106,7 @@ const SUBTYPE_ICONS = {
value_source: {
static: P.layoutDashboard, animated: P.refreshCw, audio: P.music,
adaptive_time: P.clock, adaptive_scene: P.cloudSun, daylight: P.sun,
template: P.code,
},
audio_source: { capture: P.volume2, processed: P.slidersHorizontal },
output_target: { led: P.lightbulb, wled: P.lightbulb, ha_light: P.lightbulb },
@@ -656,7 +657,7 @@ export function markIssues(group: SVGGElement, issues: Map<string, string[]>): v
for (const [id, msgs] of issues) {
if (!msgs.length) continue;
const el = group.querySelector(`.graph-node[data-id="${id}"]`);
const el = group.querySelector(`.graph-node[data-id="${CSS.escape(id)}"]`);
if (!el) continue;
el.classList.add('has-issue');
@@ -43,6 +43,7 @@ const _valueSourceTypeIcons = {
system_metrics: _svg(P.cpu),
game_event: _svg(P.gamepad2),
http: _svg(P.globe),
template: _svg(P.code),
};
const _audioSourceTypeIcons = { capture: _svg(P.volume2), processed: _svg(P.slidersHorizontal) };
const _deviceTypeIcons = {
@@ -0,0 +1,191 @@
/**
* Tiny zero-dependency Jinja-expression highlighter.
*
* A transparent <textarea> is layered over a synced <pre class="jinja-hl">.
* On every input the text is re-tokenised and painted into the <pre> so the
* caret and selection stay native while the colours live underneath. The two
* layers share identical font metrics (set in CSS via --font-mono) so the
* highlight aligns pixel-perfectly with the typed glyphs.
*
* Tokenised: strings, numbers, the sandbox globals (min|max|abs|round|clamp),
* the `raw` keyword, bound input variable names (supplied live via
* getInputNames), and operators. Everything else renders as plain text.
*
* Usage:
* const ed = create({ textarea, getInputNames: () => ['audio','temp'], onChange });
* ed.refresh(); // re-paint after the input list or value changes externally
* ed.destroy();
*/
/** Globals available inside the sandboxed expression (see backend contract). */
const JINJA_GLOBALS = new Set(['min', 'max', 'abs', 'round', 'clamp']);
const JINJA_RAW = 'raw';
export interface JinjaEditorOpts {
textarea: HTMLTextAreaElement;
getInputNames: () => string[];
onChange?: (value: string) => void;
}
export interface JinjaEditorHandle {
/** Re-paint the highlight layer (e.g. after the bound-input list changed). */
refresh: () => void;
/** Detach listeners and remove the highlight overlay. */
destroy: () => void;
}
function escapeHtml(s: string): string {
return s
.replace(/&/g, '&amp;')
.replace(/</g, '&lt;')
.replace(/>/g, '&gt;');
}
type TokenKind = 'str' | 'num' | 'fn' | 'raw' | 'var' | 'op' | 'text';
interface Token {
kind: TokenKind;
text: string;
}
/**
* Tokenise a Jinja expression. Deliberately small — this is presentational
* only; the backend is the source of truth for validity.
*/
function tokenize(src: string, inputNames: Set<string>): Token[] {
const tokens: Token[] = [];
const n = src.length;
let i = 0;
const push = (kind: TokenKind, text: string) => {
// Coalesce consecutive plain-text runs to keep the DOM tiny.
const last = tokens[tokens.length - 1];
if (kind === 'text' && last && last.kind === 'text') last.text += text;
else tokens.push({ kind, text });
};
while (i < n) {
const ch = src[i];
// Strings — single or double quoted, with simple escape passthrough.
if (ch === '"' || ch === "'") {
const quote = ch;
let j = i + 1;
while (j < n && src[j] !== quote) {
if (src[j] === '\\' && j + 1 < n) j += 2;
else j += 1;
}
j = Math.min(j + 1, n); // include closing quote if present
push('str', src.slice(i, j));
i = j;
continue;
}
// Numbers — integer / float.
if (ch >= '0' && ch <= '9') {
let j = i + 1;
while (j < n && /[0-9._]/.test(src[j])) j += 1;
push('num', src.slice(i, j));
i = j;
continue;
}
// Identifiers — globals, the `raw` keyword, bound input names, or plain.
if (/[A-Za-z_]/.test(ch)) {
let j = i + 1;
while (j < n && /[A-Za-z0-9_]/.test(src[j])) j += 1;
const word = src.slice(i, j);
if (JINJA_GLOBALS.has(word)) push('fn', word);
else if (word === JINJA_RAW) push('raw', word);
else if (inputNames.has(word)) push('var', word);
else push('text', word);
i = j;
continue;
}
// Operators / punctuation.
if ('+-*/%()[]<>=!,&|?:'.includes(ch)) {
push('op', ch);
i += 1;
continue;
}
// Whitespace and everything else.
push('text', ch);
i += 1;
}
return tokens;
}
function render(src: string, inputNames: Set<string>): string {
// A trailing newline is swallowed by <pre>; pad it so the highlight box
// keeps the same height as the textarea while typing a fresh line.
const padded = src.endsWith('\n') ? src + ' ' : src;
const html = tokenize(padded, inputNames)
.map(tok =>
tok.kind === 'text'
? escapeHtml(tok.text)
: `<span class="tok-${tok.kind}">${escapeHtml(tok.text)}</span>`,
)
.join('');
return html;
}
export function create({ textarea, getInputNames, onChange }: JinjaEditorOpts): JinjaEditorHandle {
// Wrap the textarea so the highlight layer can sit directly behind it.
const wrap = document.createElement('div');
wrap.className = 'jinja-editor';
const pre = document.createElement('pre');
pre.className = 'jinja-hl';
pre.setAttribute('aria-hidden', 'true');
const parent = textarea.parentNode;
if (parent) {
parent.insertBefore(wrap, textarea);
wrap.appendChild(pre);
wrap.appendChild(textarea);
}
textarea.classList.add('jinja-input');
textarea.spellcheck = false;
textarea.setAttribute('autocomplete', 'off');
textarea.setAttribute('autocapitalize', 'off');
textarea.setAttribute('autocorrect', 'off');
textarea.setAttribute('wrap', 'off');
const paint = () => {
pre.innerHTML = render(textarea.value, new Set(getInputNames()));
// Keep the highlight scrolled in lock-step with the textarea.
pre.scrollTop = textarea.scrollTop;
pre.scrollLeft = textarea.scrollLeft;
};
const onInput = () => {
paint();
if (onChange) onChange(textarea.value);
};
const onScroll = () => {
pre.scrollTop = textarea.scrollTop;
pre.scrollLeft = textarea.scrollLeft;
};
textarea.addEventListener('input', onInput);
textarea.addEventListener('scroll', onScroll);
paint();
return {
refresh: paint,
destroy: () => {
textarea.removeEventListener('input', onInput);
textarea.removeEventListener('scroll', onScroll);
textarea.classList.remove('jinja-input');
// Restore the textarea to its original place, drop the overlay.
if (wrap.parentNode) {
wrap.parentNode.insertBefore(textarea, wrap);
wrap.remove();
}
},
};
}
@@ -19,7 +19,7 @@ import { apiGet } from '../core/api-client.ts';
import { showToast, showConfirm, formatUptime, formatCompact } from '../core/ui.ts';
import { createFpsSparkline } from '../core/chart-utils.ts';
import { t } from '../core/i18n.ts';
import { findConnection, getCompatibleInputs, getConnectionByField, updateConnection, detachConnection, isEditableEdge, validateConnection, getDependents } from '../core/graph-connections.ts';
import { findConnection, getCompatibleInputs, getConnectionByField, updateConnection, detachConnection, updateListSlotConnection, duplicateSubgraph, isEditableEdge, validateConnection, getDependents, checkSchemaDrift } from '../core/graph-connections.ts';
import { showTypePicker } from '../core/icon-select.ts';
import * as P from '../core/icon-paths.ts';
import { readJson, writeJson, isObject, isString, isNumber } from '../core/storage.ts';
@@ -358,6 +358,10 @@ export async function loadGraphEditor(): Promise<void> {
if (gc) gc.appendChild(overlay);
}
// Dev safety net: warn once if the frontend connection map drifts from the
// backend schema (fire-and-forget; never blocks the graph).
void checkSchemaDrift();
try {
const entities = await _fetchAllEntities();
// Index raw entities by id for subtype-safe bindable-slot resolution.
@@ -805,6 +809,40 @@ export async function graphExportTopology(): Promise<void> {
}
}
/**
* Duplicate the current node selection server-side. The backend clones the
* value / colour-strip sources in the selection (full config preserved, no
* secrets crossing the wire), rewires references that point *within* the
* selection, and shares everything else. The graph then reloads with the new
* cluster selected.
*/
export async function graphDuplicateSelection(): Promise<void> {
const ids = [..._selectedIds];
if (ids.length === 0) {
showToast(t('graph.duplicate_none'), 'info');
return;
}
const res = await duplicateSubgraph(ids);
if (!res) {
showToast(t('graph.duplicate_failed'), 'error');
return;
}
const newIds = Object.values(res.id_map || {});
if (newIds.length === 0) {
showToast(t('graph.duplicate_none_eligible'), 'info');
return;
}
await loadGraphEditor();
_selectedIds = new Set(newIds);
const nodeGroup = document.querySelector('.graph-nodes') as SVGGElement | null;
if (nodeGroup) updateSelection(nodeGroup, _selectedIds);
const hasWarn = !!res.warnings?.length;
showToast(
t(hasWarn ? 'graph.duplicate_done_warn' : 'graph.duplicate_done', { count: newIds.length }),
hasWarn ? 'info' : 'success',
);
}
/** Frame and highlight all nodes flagged with configuration issues. */
export function graphShowIssues(): void {
if (_issueIds.size === 0 || !_nodeMap || !_canvas) {
@@ -1353,6 +1391,10 @@ function _graphHTML(): string {
<svg class="icon" viewBox="0 0 24 24"><path d="M21 15v4a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2v-4"/><path d="M7 10l5 5 5-5"/><path d="M12 15V3"/></svg>
<span>${t('graph.export')}</span>
</button>
<button onclick="graphDuplicateSelection(); closeToolbarOverflow()">
<svg class="icon" viewBox="0 0 24 24"><rect x="9" y="9" width="13" height="13" rx="2"/><path d="M5 15H4a2 2 0 0 1-2-2V4a2 2 0 0 1 2-2h9a2 2 0 0 1 2 2v1"/></svg>
<span>${t('graph.duplicate')}</span>
</button>
<div class="graph-overflow-sep"></div>
<button id="graph-overflow-help" onclick="toggleGraphHelp(); closeToolbarOverflow()">
<svg class="icon" viewBox="0 0 24 24"><circle cx="12" cy="12" r="10"/><path d="M9.09 9a3 3 0 0 1 5.83 1c0 2-3 3-3 3"/><path d="M12 17h.01"/></svg>
@@ -2628,16 +2670,22 @@ function _onConnectPointerUp(e: PointerEvent): void {
}
/**
* Keep only the bindable slots the target entity actually exposes (subtype-safe)
* — e.g. an "effect" strip offers `intensity`/`scale`, a "picture" strip offers
* `smoothing`. Non-bindable matches always pass through.
* Keep only the slots the target entity actually exposes (subtype-safe) — a
* field is offered iff its first path segment is a key on the serialized entity.
* E.g. an "effect" strip offers `intensity`/`scale`, a "picture" strip offers
* `smoothing`; a processed strip offers `input_source_id`. Applies to ALL
* matches (bindable and top-level alike); reference fields are always emitted by
* `to_dict` so empty slots stay wireable.
*/
function _availableMatches<T extends { field: string; bindable?: boolean }>(matches: T[], targetId: string): T[] {
function _availableMatches<T extends { field: string }>(matches: T[], targetId: string): T[] {
const ent = _entitiesById.get(targetId);
return matches.filter(m => {
if (!m.bindable || !ent) return true;
return m.field.split('.')[0] in ent;
});
if (!ent) return matches; // no data (e.g. freshly created) → don't over-filter
// Offer a field only if the target entity actually exposes its slot (its
// first path segment is a key on the serialized entity). Reference fields
// are always emitted by `to_dict` even when empty, so empty slots stay
// wireable (B2); subtype-specific fields (e.g. processed-strip
// `input_source_id`) are correctly hidden on subtypes that lack them.
return matches.filter(m => m.field.split('.')[0] in ent);
}
/** Ask the user which field to wire when a source maps to multiple target fields. */
@@ -2841,6 +2889,13 @@ function _onEdgeContextMenu(edgePath: Element, e: MouseEvent, container: HTMLEle
_dismissEdgeContextMenu();
const field = edgePath.getAttribute('data-field') || '';
// List-slot edges (composite layers / mapped zones) aren't editable through
// the flat (to, field) path, but each carries its slot index so it can be
// re-wired individually.
if (edgePath.getAttribute('data-slot-list')) {
_showListSlotRewireMenu(edgePath, e, container);
return;
}
if (!isEditableEdge(field)) return; // nested fields can't be detached from graph
const toId = edgePath.getAttribute('data-to') ?? '';
@@ -2877,6 +2932,73 @@ function _dismissEdgeContextMenu(): void {
}
}
/**
* Re-wire menu for a list-slot edge (a composite layer or mapped zone source).
* Each such edge carries `data-slot-*`, so we can replace just that one
* element's reference and leave its siblings (and its own other settings)
* untouched. The picker lists every node of the source's kind; the backend
* rejects self-reference / cycles.
*/
function _showListSlotRewireMenu(edgePath: Element, e: MouseEvent, container: HTMLElement): void {
const toId = edgePath.getAttribute('data-to') ?? ''; // composite/mapped owner
const fromId = edgePath.getAttribute('data-from') ?? ''; // current source occupant
const listField = edgePath.getAttribute('data-slot-list') ?? '';
const index = parseInt(edgePath.getAttribute('data-slot-index') ?? '', 10);
const refField = edgePath.getAttribute('data-slot-ref') ?? '';
const toNode = _nodeMap?.get(toId);
if (!toNode || Number.isNaN(index)) return;
const sourceKind = _nodeMap?.get(fromId)?.kind ?? 'color_strip_source';
const candidates = [...(_nodeMap?.values() ?? [])]
.filter((n: any) => n.kind === sourceKind && n.id !== toId && n.id !== fromId)
.sort((a: any, b: any) => (a.name || a.id).localeCompare(b.name || b.id));
const menu = document.createElement('div');
menu.className = 'graph-edge-menu';
menu.style.left = `${e.clientX - container.getBoundingClientRect().left}px`;
menu.style.top = `${e.clientY - container.getBoundingClientRect().top}px`;
const btn = document.createElement('button');
btn.className = 'graph-edge-menu-item';
btn.textContent = t('graph.rewire');
btn.addEventListener('click', () => {
_dismissEdgeContextMenu();
if (candidates.length === 0) { showToast(t('graph.no_compatible_connection'), 'info'); return; }
showTypePicker({
title: t('graph.rewire_choose_source'),
items: candidates.map((n: any) => ({ value: n.id, icon: _ico(P.link), label: n.name || n.id })),
onPick: (newSourceId: string) => { void _doListSlotRewire(toId, toNode.kind, listField, index, refField, newSourceId, fromId); },
});
});
menu.appendChild(btn);
container.querySelector('.graph-container')!.appendChild(menu);
_edgeContextMenu = menu;
}
/** Re-wire one list slot (composite layer / mapped zone) and record an undoable action. */
async function _doListSlotRewire(
targetId: string, targetKind: string, listField: string, index: number,
refField: string, newSourceId: string, prevSourceId: string,
): Promise<void> {
if (newSourceId === prevSourceId) return;
// Pass the expected current occupant so the write refuses if the slot was
// reordered/edited out-of-band (positional `index` could otherwise hit the
// wrong element). Each step expects the slot to still hold what it replaces.
const ok = await updateListSlotConnection(targetId, targetKind, listField, index, refField, newSourceId, prevSourceId);
if (ok) {
pushUndoAction({
label: t('graph.action.rewire'),
undo: async () => { if (!(await updateListSlotConnection(targetId, targetKind, listField, index, refField, prevSourceId, newSourceId))) throw new Error(t('graph.connection_failed')); },
redo: async () => { if (!(await updateListSlotConnection(targetId, targetKind, listField, index, refField, newSourceId, prevSourceId))) throw new Error(t('graph.connection_failed')); },
});
showToast(t('graph.connection_updated'), 'success');
await loadGraphEditor();
} else {
showToast(t('graph.connection_failed'), 'error');
}
}
async function _detachSelectedEdge(): Promise<void> {
if (!_selectedEdge) return;
const { from, to, field, targetKind } = _selectedEdge;
@@ -28,6 +28,7 @@ import {
ICON_LED_PREVIEW, ICON_ACTIVITY, ICON_TIMER, ICON_MOVE_VERTICAL, ICON_CLOCK,
ICON_MUSIC, ICON_TRENDING_UP, ICON_MAP_PIN, ICON_MONITOR, ICON_REFRESH, ICON_TRASH,
ICON_HOME, ICON_RAINBOW, ICON_LINK, ICON_DROPLETS, ICON_GAMEPAD, ICON_X,
ICON_CHECK, ICON_FILE_TEXT,
} from '../core/icons.ts';
import { wrapCard } from '../core/card-colors.ts';
import type { ModCardOpts, ModChipOpts } from '../core/mod-card.ts';
@@ -56,9 +57,10 @@ registerIconEntityType('value_source', makeSimpleIconAdapter<any>({
import type { IconSelectItem } from '../core/icon-select.ts';
import * as P from '../core/icon-paths.ts';
import { EntitySelect } from '../core/entity-palette.ts';
import * as JinjaEditor from '../core/jinja-editor.ts';
import { loadPictureSources } from './streams.ts';
import { hexToRgbArray, rgbArrayToHex } from './css-gradient-editor.ts';
import type { ValueSource } from '../types.ts';
import type { ValueSource, TemplateInput } from '../types.ts';
export { getValueSourceIcon };
@@ -78,6 +80,14 @@ let _vsAnimColorClockEntitySelect: EntitySelect | null = null;
let _vsHTTPEndpointEntitySelect: EntitySelect | null = null;
let _vsTagsInput: TagInput | null = null;
// ── Template value source editor state ──
// (the bound inputs live in the DOM rows; read them via _readTemplateInputRows)
const _vsTemplateInputSelects = new Map<HTMLElement, EntitySelect>();
let _vsTemplateEditor: JinjaEditor.JinjaEditorHandle | null = null;
let _templateValidateTimer: ReturnType<typeof setTimeout> | null = null;
let _templateValidateGen = 0;
let _vsTemplateInputUid = 0;
class ValueSourceModal extends Modal {
constructor() { super('value-source-modal'); }
@@ -95,6 +105,13 @@ class ValueSourceModal extends Modal {
if (_vsAnimColorClockEntitySelect) { _vsAnimColorClockEntitySelect.destroy(); _vsAnimColorClockEntitySelect = null; }
if (_vsGameIntegrationEntitySelect) { _vsGameIntegrationEntitySelect.destroy(); _vsGameIntegrationEntitySelect = null; }
if (_vsHTTPEndpointEntitySelect) { _vsHTTPEndpointEntitySelect.destroy(); _vsHTTPEndpointEntitySelect = null; }
// Template editor: destroy all per-row EntitySelect portals + the highlighter
// and cancel any pending validation so stale responses are ignored.
_vsTemplateInputSelects.forEach(sel => sel.destroy());
_vsTemplateInputSelects.clear();
if (_vsTemplateEditor) { _vsTemplateEditor.destroy(); _vsTemplateEditor = null; }
if (_templateValidateTimer) { clearTimeout(_templateValidateTimer); _templateValidateTimer = null; }
_templateValidateGen++;
}
snapshotValues() {
@@ -146,6 +163,11 @@ class ValueSourceModal extends Modal {
httpMin: (document.getElementById('value-source-http-min') as HTMLInputElement | null)?.value || '',
httpMax: (document.getElementById('value-source-http-max') as HTMLInputElement | null)?.value || '',
httpSmoothing: (document.getElementById('value-source-http-smoothing') as HTMLInputElement | null)?.value || '',
// Template value source
template: (document.getElementById('value-source-template-expression') as HTMLTextAreaElement | null)?.value || '',
templateInputs: JSON.stringify(_readTemplateInputRows()),
templateDefault: (document.getElementById('value-source-template-default-value') as HTMLInputElement | null)?.value || '',
templateEvalInterval: (document.getElementById('value-source-template-eval-interval') as HTMLInputElement | null)?.value || '',
};
}
}
@@ -188,7 +210,7 @@ function _autoGenerateVSName() {
/* ── Icon-grid type selector ──────────────────────────────────── */
const VS_FLOAT_TYPE_KEYS = ['static', 'animated', 'audio', 'adaptive_time', 'adaptive_scene', 'daylight', 'ha_entity', 'system_metrics', 'game_event', 'http'];
const VS_FLOAT_TYPE_KEYS = ['static', 'animated', 'audio', 'adaptive_time', 'adaptive_scene', 'daylight', 'ha_entity', 'system_metrics', 'game_event', 'http', 'template'];
const VS_COLOR_TYPE_KEYS = ['static_color', 'animated_color', 'adaptive_time_color', 'gradient_map', 'css_extract'];
const VS_TYPE_KEYS = [...VS_FLOAT_TYPE_KEYS, ...VS_COLOR_TYPE_KEYS];
@@ -396,6 +418,16 @@ function _onMetricChange(metric: string) {
if (networkFields) networkFields.style.display = networkMetrics.includes(metric) ? '' : 'none';
if (diskFields) diskFields.style.display = metric === 'disk_usage' ? '' : 'none';
if (sensorFields) sensorFields.style.display = sensorMetrics.includes(metric) ? '' : 'none';
// The Normalize toggle only makes sense where a Min/Max range is shown
// (rangeMetrics). Percent/network/disk metrics have a fixed natural→0-1
// mapping in their reader, so "clamp the raw value as-is" would just
// saturate them; hide the toggle and force normalization on for those.
const normGroup = document.getElementById('value-source-sysmetric-normalize-group') as HTMLElement | null;
const normCb = document.getElementById('value-source-sysmetric-normalize') as HTMLInputElement | null;
const showNorm = rangeMetrics.includes(metric);
if (normGroup) normGroup.style.display = showNorm ? '' : 'none';
if (!showNorm && normCb) normCb.checked = true;
_syncVsNormalizeUI();
}
// ── Game Event Value Source helpers ──
@@ -597,6 +629,8 @@ export async function showValueSourceModal(editData: any, presetType: any = null
(document.getElementById('value-source-min-ha-value') as HTMLInputElement).value = String(editData.min_ha_value ?? 0);
(document.getElementById('value-source-max-ha-value') as HTMLInputElement).value = String(editData.max_ha_value ?? 100);
_setSlider('value-source-ha-smoothing', editData.smoothing ?? 0);
(document.getElementById('value-source-ha-normalize') as HTMLInputElement).checked = editData.normalize !== false;
_syncVsNormalizeUI();
} else if (editData.source_type === 'gradient_map') {
_populateGradientInputDropdown(editData.value_source_id || '');
_populateGradientEntityDropdown(editData.gradient_id || '');
@@ -616,7 +650,9 @@ export async function showValueSourceModal(editData: any, presetType: any = null
(document.getElementById('value-source-sensor-label') as HTMLInputElement).value = editData.sensor_label || '';
_setSlider('value-source-poll-interval', editData.poll_interval ?? 1.0);
_setSlider('value-source-sysmetric-smoothing', editData.smoothing ?? 0);
(document.getElementById('value-source-sysmetric-normalize') as HTMLInputElement).checked = editData.normalize !== false;
_onMetricChange(editData.metric || 'cpu_load');
_syncVsNormalizeUI();
} else if (editData.source_type === 'game_event') {
_populateVSGameIntegrationDropdown(editData.game_integration_id || '');
_populateVSGameEventTypeDropdown(editData.event_type || 'health');
@@ -633,6 +669,17 @@ export async function showValueSourceModal(editData: any, presetType: any = null
(document.getElementById('value-source-http-min') as HTMLInputElement).value = String(editData.min_value ?? 0);
(document.getElementById('value-source-http-max') as HTMLInputElement).value = String(editData.max_value ?? 100);
_setSlider('value-source-http-smoothing', editData.smoothing ?? 0);
(document.getElementById('value-source-http-normalize') as HTMLInputElement).checked = editData.normalize !== false;
_syncVsNormalizeUI();
} else if (editData.source_type === 'template') {
(document.getElementById('value-source-template-expression') as HTMLTextAreaElement).value = editData.template || '';
_setSlider('value-source-template-default-value', editData.default_value ?? 0.0);
(document.getElementById('value-source-template-default-value-display') as HTMLElement).textContent =
parseFloat(String(editData.default_value ?? 0.0)).toFixed(2);
(document.getElementById('value-source-template-eval-interval') as HTMLInputElement).value = String(editData.eval_interval ?? 0);
_ensureTemplateEditor();
_populateTemplateInputsUI(editData.inputs ?? []);
_runTemplateValidationDebounced();
}
} else {
(document.getElementById('value-source-name') as HTMLInputElement).value = '';
@@ -683,6 +730,7 @@ export async function showValueSourceModal(editData: any, presetType: any = null
(document.getElementById('value-source-min-ha-value') as HTMLInputElement).value = '0';
(document.getElementById('value-source-max-ha-value') as HTMLInputElement).value = '100';
_setSlider('value-source-ha-smoothing', 0);
(document.getElementById('value-source-ha-normalize') as HTMLInputElement).checked = true;
// Gradient map defaults
(document.getElementById('value-source-gradient-easing') as HTMLSelectElement).value = 'linear';
// CSS extract defaults
@@ -697,6 +745,7 @@ export async function showValueSourceModal(editData: any, presetType: any = null
(document.getElementById('value-source-sensor-label') as HTMLInputElement).value = '';
_setSlider('value-source-poll-interval', 1.0);
_setSlider('value-source-sysmetric-smoothing', 0);
(document.getElementById('value-source-sysmetric-normalize') as HTMLInputElement).checked = true;
// HTTP value source defaults
const httpJsonPath = document.getElementById('value-source-http-json-path') as HTMLInputElement | null;
if (httpJsonPath) httpJsonPath.value = '';
@@ -707,6 +756,24 @@ export async function showValueSourceModal(editData: any, presetType: any = null
const httpMax = document.getElementById('value-source-http-max') as HTMLInputElement | null;
if (httpMax) httpMax.value = '100';
_setSlider('value-source-http-smoothing', 0);
const httpNormalize = document.getElementById('value-source-http-normalize') as HTMLInputElement | null;
if (httpNormalize) httpNormalize.checked = true;
_syncVsNormalizeUI();
// Template value source defaults
const tmplExpr = document.getElementById('value-source-template-expression') as HTMLTextAreaElement | null;
if (tmplExpr) tmplExpr.value = '';
_setSlider('value-source-template-default-value', 0.0);
const tmplDefDisp = document.getElementById('value-source-template-default-value-display') as HTMLElement | null;
if (tmplDefDisp) tmplDefDisp.textContent = '0.00';
const tmplEval = document.getElementById('value-source-template-eval-interval') as HTMLInputElement | null;
if (tmplEval) tmplEval.value = '0';
if (presetType === 'template') {
_ensureTemplateEditor();
_populateTemplateInputsUI([]);
_runTemplateValidationDebounced();
} else {
_populateTemplateInputsUI([]);
}
_autoGenerateVSName();
}
@@ -763,6 +830,19 @@ export function onValueSourceTypeChange() {
// before the integrations tab has been visited.
httpEndpointsCache.fetch().then(() => _populateVSHTTPEndpointDropdown(''));
}
const templateSec = document.getElementById('value-source-template-section') as HTMLElement | null;
if (templateSec) templateSec.style.display = type === 'template' ? '' : 'none';
if (type === 'template') {
_ensureTemplateEditor();
_runTemplateValidationDebounced();
} else {
// Leaving template type — cancel any pending/in-flight validation so a
// stale response cannot re-disable save on a non-template form, then
// restore the button.
if (_templateValidateTimer) { clearTimeout(_templateValidateTimer); _templateValidateTimer = null; }
_templateValidateGen++;
_setVSSaveEnabled(true);
}
(document.getElementById('value-source-adaptive-range-section') as HTMLElement).style.display =
(type === 'adaptive_time' || type === 'adaptive_scene' || type === 'daylight') ? '' : 'none';
@@ -815,6 +895,35 @@ function _syncDaylightVSSpeedVisibility() {
(document.getElementById('value-source-daylight-speed-group') as HTMLElement).style.display = rt ? 'none' : '';
}
// ── Normalize toggle (magnitude sources: ha_entity / system_metrics / http) ──
export function onValueSourceNormalizeChange() {
_syncVsNormalizeUI();
}
// Grey out + disable the Min/Max range inputs when a magnitude source is in
// clamp-passthrough mode (normalize off) — they are inert there. Only the
// visible section's pair is relevant, but syncing all three is harmless.
function _syncVsNormalizeUI() {
const groups: Array<[string, string[]]> = [
['value-source-ha-normalize', ['value-source-min-ha-value', 'value-source-max-ha-value']],
['value-source-sysmetric-normalize', ['value-source-sysmetric-min', 'value-source-sysmetric-max']],
['value-source-http-normalize', ['value-source-http-min', 'value-source-http-max']],
];
for (const [cbId, inputIds] of groups) {
const cb = document.getElementById(cbId) as HTMLInputElement | null;
if (!cb) continue;
const on = cb.checked;
for (const id of inputIds) {
const inp = document.getElementById(id) as HTMLInputElement | null;
if (!inp) continue;
inp.disabled = !on;
const fg = inp.closest('.form-group') as HTMLElement | null;
if (fg) fg.style.opacity = on ? '' : '0.45';
}
}
}
// ── Save ──────────────────────────────────────────────────────
export async function saveValueSource() {
@@ -889,6 +998,7 @@ export async function saveValueSource() {
payload.min_ha_value = parseFloat((document.getElementById('value-source-min-ha-value') as HTMLInputElement).value);
payload.max_ha_value = parseFloat((document.getElementById('value-source-max-ha-value') as HTMLInputElement).value);
payload.smoothing = parseFloat((document.getElementById('value-source-ha-smoothing') as HTMLInputElement).value);
payload.normalize = (document.getElementById('value-source-ha-normalize') as HTMLInputElement).checked;
if (!payload.ha_source_id) {
errorEl.textContent = t('value_source.ha_source') + ' required';
errorEl.style.display = '';
@@ -932,6 +1042,7 @@ export async function saveValueSource() {
payload.sensor_label = (document.getElementById('value-source-sensor-label') as HTMLInputElement).value;
payload.poll_interval = parseFloat((document.getElementById('value-source-poll-interval') as HTMLInputElement).value) || 1.0;
payload.smoothing = parseFloat((document.getElementById('value-source-sysmetric-smoothing') as HTMLInputElement).value) || 0;
payload.normalize = (document.getElementById('value-source-sysmetric-normalize') as HTMLInputElement).checked;
} else if (sourceType === 'game_event') {
payload.game_integration_id = (document.getElementById('value-source-game-integration') as HTMLSelectElement).value;
payload.event_type = (document.getElementById('value-source-game-event-type') as HTMLSelectElement).value;
@@ -952,6 +1063,7 @@ export async function saveValueSource() {
payload.min_value = parseFloat((document.getElementById('value-source-http-min') as HTMLInputElement).value) || 0;
payload.max_value = parseFloat((document.getElementById('value-source-http-max') as HTMLInputElement).value) || 100;
payload.smoothing = parseFloat((document.getElementById('value-source-http-smoothing') as HTMLInputElement).value) || 0;
payload.normalize = (document.getElementById('value-source-http-normalize') as HTMLInputElement).checked;
if (!payload.http_endpoint_id) {
errorEl.textContent = t('value_source.http.endpoint_required');
errorEl.style.display = '';
@@ -962,6 +1074,26 @@ export async function saveValueSource() {
errorEl.style.display = '';
return;
}
} else if (sourceType === 'template') {
const inputs = _getTemplateInputsFromUI();
if (inputs === null) return; // toast already shown
payload.template = (document.getElementById('value-source-template-expression') as HTMLTextAreaElement).value;
payload.inputs = inputs;
payload.default_value = parseFloat((document.getElementById('value-source-template-default-value') as HTMLInputElement).value) || 0.0;
const evalRaw = (document.getElementById('value-source-template-eval-interval') as HTMLInputElement).value.trim();
payload.eval_interval = evalRaw === '' ? null : (parseFloat(evalRaw) || 0);
if (!payload.template.trim()) {
errorEl.textContent = t('value_source.template.error.invalid_expr');
errorEl.style.display = '';
return;
}
// Final server-side gate: block save when the expression is invalid.
const result = await _validateTemplateRequest(payload.template, inputs, id || undefined);
if (result && result.valid === false) {
errorEl.textContent = (result.errors && result.errors[0]) || result.error || t('value_source.template.error.invalid_expr');
errorEl.style.display = '';
return;
}
}
try {
@@ -1373,6 +1505,7 @@ const VALUE_BADGE: Record<string, string> = {
gradient_map: 'VALUE · MAP',
css_extract: 'VALUE · STRIP',
system_metrics: 'VALUE · SYS',
template: 'VALUE · EXPR',
};
function _valueSourceChipsAndExtras(src: ValueSource): { chips: ModChipOpts[]; metaText: string; extra: string } {
@@ -1503,6 +1636,16 @@ function _valueSourceChipsAndExtras(src: ValueSource): { chips: ModChipOpts[]; m
const metricLabel = t(`value_source.metric.${(src as any).metric}`) || (src as any).metric;
chips.push({ icon: ICON_ACTIVITY, text: metricLabel });
metaText = metricLabel;
} else if (src.source_type === 'template') {
const inputs = (src as any).inputs || [];
const nInputs = inputs.length;
const expr = ((src as any).template || '').trim();
chips.push({
icon: ICON_FILE_TEXT,
text: `${nInputs} ${nInputs === 1 ? t('value_source.template.input_count_one') : t('value_source.template.input_count')}`,
});
if (expr) chips.push({ icon: ICON_ACTIVITY, text: expr.length > 28 ? expr.slice(0, 27) + '…' : expr });
metaText = `${t('value_source.type.template')} · ${nInputs} ${t('value_source.template.input_count')}`;
}
return { chips, metaText, extra };
@@ -1970,3 +2113,302 @@ function _populateCSSSourceDropdown(selectedId: string) {
});
}
}
// ── Template (Jinja expression) helpers ────────────────────────
/** Reserved identifiers an input variable may NOT shadow. */
const TEMPLATE_RESERVED_NAMES = new Set([
'min', 'max', 'abs', 'round', 'clamp', 'raw', 'range', 'dict', 'namespace',
]);
const TEMPLATE_IDENT_RE = /^[A-Za-z_][A-Za-z0-9_]*$/;
/** Lazily attach the syntax-highlighting overlay to the expression textarea. */
function _ensureTemplateEditor() {
const ta = document.getElementById('value-source-template-expression') as HTMLTextAreaElement | null;
if (!ta) return;
if (_vsTemplateEditor) { _vsTemplateEditor.refresh(); return; }
_vsTemplateEditor = JinjaEditor.create({
textarea: ta,
getInputNames: () => _readTemplateInputRows().map(i => i.name).filter(Boolean),
onChange: () => _runTemplateValidationDebounced(),
});
}
/** Bound-input names that are currently valid identifiers (for the highlighter + hints). */
function _currentTemplateVarNames(): string[] {
return _readTemplateInputRows()
.map(i => i.name)
.filter(n => TEMPLATE_IDENT_RE.test(n));
}
/**
* Append one `.template-input-row` (a variable-name field + a value-source
* EntitySelect + a remove button). Invoked from the inline add button.
*/
export function addTemplateInput(name: string = '', vsId: string = '') {
const list = document.getElementById('value-source-template-inputs-list');
if (!list) return;
const row = document.createElement('div');
row.className = 'template-input-row';
const nameInput = document.createElement('input');
nameInput.type = 'text';
nameInput.className = 'template-input-name';
nameInput.placeholder = t('value_source.template.input_name');
nameInput.value = name;
nameInput.spellcheck = false;
nameInput.autocomplete = 'off';
const select = document.createElement('select');
select.id = `value-source-template-input-${++_vsTemplateInputUid}`;
const floatSources = _templateFloatSources();
select.innerHTML = `<option value=""></option>` + floatSources.map(s =>
`<option value="${escapeHtml(s.id)}"${s.id === vsId ? ' selected' : ''}>${escapeHtml(s.name)}</option>`
).join('');
select.value = vsId || '';
const removeBtn = document.createElement('button');
removeBtn.type = 'button';
removeBtn.className = 'btn btn-icon btn-danger btn-sm';
removeBtn.innerHTML = ICON_TRASH;
removeBtn.setAttribute('aria-label', t('common.remove') || 'Remove');
row.appendChild(nameInput);
row.appendChild(select);
row.appendChild(removeBtn);
// Remove any "no inputs yet" placeholder before adding a real row.
const empty = list.querySelector('.template-inputs-empty');
if (empty) empty.remove();
list.appendChild(row);
const es = new EntitySelect({
target: select,
getItems: () => _templateFloatSources().map(s => ({
value: s.id,
label: s.name,
icon: getValueSourceIcon(s.source_type),
desc: s.source_type,
})),
placeholder: t('palette.search'),
allowNone: true,
noneLabel: '—',
onChange: () => _runTemplateValidationDebounced(),
});
_vsTemplateInputSelects.set(select, es);
nameInput.addEventListener('input', () => {
_vsTemplateEditor?.refresh();
_runTemplateValidationDebounced();
});
removeBtn.addEventListener('click', () => {
const sel = _vsTemplateInputSelects.get(select);
if (sel) { sel.destroy(); _vsTemplateInputSelects.delete(select); }
row.remove();
if (!list.querySelector('.template-input-row')) _showTemplateInputsEmpty(list);
_vsTemplateEditor?.refresh();
_renderTemplateHintVars();
_runTemplateValidationDebounced();
});
_renderTemplateHintVars();
}
/** Float value sources eligible to bind, excluding the source being edited. */
function _templateFloatSources(): ValueSource[] {
const selfId = (document.getElementById('value-source-id') as HTMLInputElement).value || undefined;
return _cachedValueSources.filter(v => v.return_type === 'float' && v.id !== selfId);
}
function _showTemplateInputsEmpty(list: HTMLElement) {
const empty = document.createElement('div');
empty.className = 'template-inputs-empty';
empty.textContent = t('value_source.template.inputs.empty');
list.appendChild(empty);
}
/** Raw row read — no validation, no toast (used by snapshot + the live validator). */
function _readTemplateInputRows(): TemplateInput[] {
const rows = document.querySelectorAll('#value-source-template-inputs-list .template-input-row');
const out: TemplateInput[] = [];
rows.forEach(row => {
const name = (row.querySelector('.template-input-name') as HTMLInputElement)?.value.trim() ?? '';
const select = row.querySelector('select') as HTMLSelectElement | null;
out.push({ name, value_source_id: select?.value || '' });
});
return out;
}
/**
* Validated read for save: every name must be a unique, non-reserved, valid
* identifier. Shows a toast and returns null on the first failure.
*/
function _getTemplateInputsFromUI(): TemplateInput[] | null {
const rows = _readTemplateInputRows();
const seen = new Set<string>();
for (const inp of rows) {
if (!inp.name) {
showToast(t('value_source.template.error.missing_input'), 'error');
return null;
}
if (!TEMPLATE_IDENT_RE.test(inp.name)) {
showToast(`${t('value_source.template.error.invalid_name')}: ${inp.name}`, 'error');
return null;
}
if (TEMPLATE_RESERVED_NAMES.has(inp.name)) {
showToast(`${t('value_source.template.error.reserved_name')}: ${inp.name}`, 'error');
return null;
}
if (seen.has(inp.name)) {
showToast(`${t('value_source.template.error.duplicate_name')}: ${inp.name}`, 'error');
return null;
}
seen.add(inp.name);
}
return rows;
}
/** Rebuild the inputs list from scratch (destroying any leaked EntitySelects). */
function _populateTemplateInputsUI(inputs: TemplateInput[]) {
_vsTemplateInputSelects.forEach(sel => sel.destroy());
_vsTemplateInputSelects.clear();
const list = document.getElementById('value-source-template-inputs-list');
if (!list) return;
list.innerHTML = '';
if (inputs.length === 0) {
_showTemplateInputsEmpty(list);
} else {
inputs.forEach(i => addTemplateInput(i.name, i.value_source_id));
}
_vsTemplateEditor?.refresh();
_renderTemplateHintVars();
}
/** Paint the live list of bound variable chips into the hints panel. */
function _renderTemplateHintVars() {
const host = document.getElementById('value-source-template-hint-vars');
if (!host) return;
const names = _currentTemplateVarNames();
if (names.length === 0) {
host.innerHTML = `<span class="jinja-hints-empty">${escapeHtml(t('value_source.template.hints.no_inputs'))}</span>`;
return;
}
host.innerHTML = names
.map(n => `<span class="tok-var-chip">${escapeHtml(n)}</span>`)
.join('');
}
// ── Live validation (debounced + generation-tagged) ────────────
interface TemplateValidateResult {
valid: boolean;
error: string | null;
errors: string[];
warnings: string[];
variables: string[];
}
/** Enable/disable the value-source modal's primary (save) button. */
function _setVSSaveEnabled(enabled: boolean) {
const btn = document.querySelector('#value-source-modal .modal-footer .btn-primary') as HTMLButtonElement | null;
if (btn) btn.disabled = !enabled;
}
function _runTemplateValidationDebounced() {
if (_vsTemplateEditor) _vsTemplateEditor.refresh();
_renderTemplateHintVars();
if (_templateValidateTimer) clearTimeout(_templateValidateTimer);
_templateValidateTimer = setTimeout(() => { void _validateTemplate(); }, 300);
}
/** POST the current expression/inputs to the validate endpoint (no UI side effects). */
async function _validateTemplateRequest(
template: string, inputs: TemplateInput[], id?: string,
): Promise<TemplateValidateResult | null> {
try {
const resp = await fetchWithAuth('/value-sources/validate-template', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ template, inputs, ...(id ? { id } : {}) }),
});
if (!resp.ok) return null;
return await resp.json() as TemplateValidateResult;
} catch {
return null;
}
}
/** Live validator: paints inline error/ok/warn state and gates the save button. */
async function _validateTemplate() {
const editor = document.querySelector('#value-source-template-section .jinja-editor') as HTMLElement | null;
const errEl = document.getElementById('value-source-template-error') as HTMLElement | null;
const okEl = document.getElementById('value-source-template-ok') as HTMLElement | null;
const warnEl = document.getElementById('value-source-template-warn') as HTMLElement | null;
const ta = document.getElementById('value-source-template-expression') as HTMLTextAreaElement | null;
if (!ta) return;
// If the user switched away from template while this was pending, do nothing.
if ((document.getElementById('value-source-type') as HTMLSelectElement).value !== 'template') {
_setVSSaveEnabled(true);
return;
}
const template = ta.value;
// Drop blank-name rows: TemplateInput.name is min_length=1 server-side, so
// posting a half-typed row would 422 and silently blank the live validator.
const inputs = _readTemplateInputRows().filter(i => i.name.trim());
const id = (document.getElementById('value-source-id') as HTMLInputElement).value || undefined;
const gen = ++_templateValidateGen;
const result = await _validateTemplateRequest(template, inputs, id);
if (gen !== _templateValidateGen) return; // a newer request superseded this one
// The user may have switched away from template during the await — never
// touch a non-template form's save state.
if ((document.getElementById('value-source-type') as HTMLSelectElement).value !== 'template') {
_setVSSaveEnabled(true);
return;
}
const setSaveEnabled = _setVSSaveEnabled;
const clearMsgs = () => {
if (errEl) { errEl.style.display = 'none'; errEl.textContent = ''; }
if (okEl) { okEl.style.display = 'none'; okEl.innerHTML = ''; }
if (warnEl) { warnEl.style.display = 'none'; warnEl.textContent = ''; }
};
if (!result) {
// Network/endpoint failure — don't block the user; clear inline state.
editor?.classList.remove('field-invalid');
clearMsgs();
setSaveEnabled(true);
return;
}
clearMsgs();
if (result.valid === false) {
editor?.classList.add('field-invalid');
if (errEl) {
errEl.innerHTML = `${ICON_X}<span></span>`;
const span = errEl.querySelector('span');
if (span) span.textContent = (result.errors && result.errors[0]) || result.error || t('value_source.template.error.invalid_expr');
errEl.style.display = '';
}
setSaveEnabled(false);
return;
}
editor?.classList.remove('field-invalid');
setSaveEnabled(true);
if (okEl && template.trim()) {
okEl.innerHTML = `${ICON_CHECK}<span></span>`;
const span = okEl.querySelector('span');
if (span) span.textContent = t('value_source.template.valid');
okEl.style.display = '';
}
if (warnEl && result.warnings && result.warnings.length > 0) {
warnEl.textContent = result.warnings.join(' · ');
warnEl.style.display = '';
}
}
+3
View File
@@ -331,11 +331,13 @@ startTargetOverlay: (...args: any[]) => any;
deleteValueSource: (...args: any[]) => any;
onValueSourceTypeChange: (...args: any[]) => any;
onDaylightVSRealTimeChange: (...args: any[]) => any;
onValueSourceNormalizeChange: (...args: any[]) => any;
addSchedulePoint: (...args: any[]) => any;
addAnimatedColor: (...args: any[]) => any;
removeAnimatedColor: (...args: any[]) => any;
addColorSchedulePoint: (...args: any[]) => any;
removeColorSchedulePoint: (...args: any[]) => any;
addTemplateInput: (...args: any[]) => any;
testValueSource: (...args: any[]) => any;
closeTestValueSourceModal: (...args: any[]) => any;
@@ -379,6 +381,7 @@ startTargetOverlay: (...args: any[]) => any;
graphRelayout: (...args: any[]) => any;
graphShowIssues: (...args: any[]) => any;
graphExportTopology: (...args: any[]) => any;
graphDuplicateSelection: (...args: any[]) => any;
graphToggleFullscreen: (...args: any[]) => any;
graphAddEntity: (...args: any[]) => any;
+2
View File
@@ -76,6 +76,8 @@ export type {
SystemMetricsValueSource,
GameEventValueSource,
HTTPValueSource,
TemplateValueSource,
TemplateInput,
ValueSource,
ValueSourceListResponse,
} from './types/value-source.ts';
@@ -9,7 +9,12 @@ export type ValueSourceType =
| 'adaptive_time' | 'adaptive_scene' | 'daylight'
| 'static_color' | 'animated_color' | 'adaptive_time_color'
| 'ha_entity' | 'gradient_map' | 'css_extract'
| 'system_metrics' | 'game_event' | 'http';
| 'system_metrics' | 'game_event' | 'http' | 'template';
export interface TemplateInput {
name: string;
value_source_id: string;
}
export interface SchedulePoint {
time: string;
@@ -121,6 +126,7 @@ export interface HAEntityValueSource extends ValueSourceBase {
min_ha_value: number;
max_ha_value: number;
smoothing: number;
normalize: boolean;
}
export interface GradientMapValueSource extends ValueSourceBase {
@@ -150,6 +156,7 @@ export interface SystemMetricsValueSource extends ValueSourceBase {
sensor_label: string;
poll_interval: number;
smoothing: number;
normalize: boolean;
}
export interface GameEventValueSource extends ValueSourceBase {
@@ -173,6 +180,16 @@ export interface HTTPValueSource extends ValueSourceBase {
min_value: number;
max_value: number;
smoothing: number;
normalize: boolean;
}
export interface TemplateValueSource extends ValueSourceBase {
source_type: 'template';
return_type: 'float';
template: string;
inputs: TemplateInput[];
default_value: number;
eval_interval?: number | null;
}
export type ValueSource =
@@ -190,7 +207,8 @@ export type ValueSource =
| CSSExtractValueSource
| SystemMetricsValueSource
| GameEventValueSource
| HTTPValueSource;
| HTTPValueSource
| TemplateValueSource;
export interface ValueSourceListResponse {
sources: ValueSource[];
+44
View File
@@ -1985,6 +1985,8 @@
"value_source.daylight.speed.hint": "Cycle speed multiplier. 1.0 = full day/night cycle in ~4 minutes. Higher values cycle faster.",
"value_source.daylight.use_real_time": "Use Real Time:",
"value_source.daylight.use_real_time.hint": "When enabled, the value follows the actual time of day. Speed is ignored.",
"value_source.normalize": "Normalize to 01:",
"value_source.normalize.hint": "On: rescale the raw value to 01 using Min/Max. Off: the value is clamped to 01 as-is (for sources that already report a 01 fraction). The raw value stays available to templates (raw[name]) and automations.",
"value_source.daylight.enable_real_time": "Follow wall clock",
"value_source.daylight.latitude": "Latitude:",
"value_source.daylight.latitude.hint": "Your geographic latitude (-90 to 90). Steepens or flattens the sunrise/sunset edges of the cycle.",
@@ -2590,7 +2592,10 @@
"graph.action.connect": "Connect",
"graph.action.disconnect": "Disconnect",
"graph.action.move": "Move node",
"graph.action.rewire": "Re-wire slot",
"graph.choose_connection": "Choose connection",
"graph.rewire": "Re-wire…",
"graph.rewire_choose_source": "Choose a new source",
"graph.issues": "Issues",
"graph.issues_none": "No issues found",
"graph.issue.broken_ref": "Broken reference: {field}",
@@ -2601,6 +2606,12 @@
"graph.export": "Export graph (JSON)",
"graph.export_done": "Graph exported",
"graph.export_failed": "Failed to export graph",
"graph.duplicate": "Duplicate selection",
"graph.duplicate_none": "Select one or more nodes to duplicate",
"graph.duplicate_none_eligible": "Nothing duplicable in the selection (only value & colour-strip sources)",
"graph.duplicate_done": "Duplicated {count} source(s)",
"graph.duplicate_done_warn": "Duplicated {count} source(s) — some references could not be remapped",
"graph.duplicate_failed": "Failed to duplicate selection",
"graph.delete_with_dependents_confirm": "This entity is used by {count} other(s): {names}. Delete it and break those connections?",
"automation.enabled": "Automation enabled",
"automation.disabled": "Automation disabled",
@@ -3064,6 +3075,39 @@
"value_source.http.modulator.hint": "Only used when this source drives brightness or color. Automation rules read the raw extracted value and ignore these settings.",
"value_source.http.endpoint_required": "HTTP endpoint is required",
"value_source.http.interval_invalid": "Interval must be at least 1 second",
"value_source.type.template": "Jinja Template",
"value_source.type.template.desc": "Combine bound inputs with a sandboxed Jinja expression to compute a 0-1 value.",
"value_source.template.expression": "Expression:",
"value_source.template.expression.hint": "A sandboxed Jinja expression returning a number. Bound inputs are available by name; use raw[name] for the un-normalized value.",
"value_source.template.expression.placeholder": "clamp((temp - 18) / 10, 0, 1)",
"value_source.template.inputs": "Inputs:",
"value_source.template.inputs.hint": "Bind float value sources to variable names you reference in the expression.",
"value_source.template.inputs.empty": "No inputs yet. Click + to bind a value source.",
"value_source.template.add_input": "+ Add Input",
"value_source.template.input_name": "variable name",
"value_source.template.input_count": "inputs",
"value_source.template.input_count_one": "input",
"value_source.template.default_value": "Default Value:",
"value_source.template.default_value.hint": "Output used when the expression cannot be evaluated (e.g. an input is missing).",
"value_source.template.eval_interval": "Eval Interval (s):",
"value_source.template.eval_interval.hint": "How often to re-evaluate the expression. 0 = every poll (re-evaluate as fast as the inputs update).",
"value_source.template.valid": "Expression is valid",
"value_source.template.hints.title": "Expression help",
"value_source.template.hints.inputs_title": "Bound inputs",
"value_source.template.hints.no_inputs": "No inputs bound yet",
"value_source.template.hints.globals_title": "Globals",
"value_source.template.hints.globals": "min(a, b), max(a, b), abs(x), round(x), clamp(x, lo, hi)",
"value_source.template.hints.raw_title": "Raw values",
"value_source.template.hints.raw": "raw[name] gives the un-normalized value of an input that has one.",
"value_source.template.hints.examples_title": "Examples",
"value_source.template.hints.time": "Tip: for time-of-day logic, bind an Adaptive (Time) or Daylight source as an input.",
"value_source.template.error.invalid_expr": "Expression is invalid",
"value_source.template.error.cycle": "This expression would create a dependency cycle",
"value_source.template.error.missing_input": "Every input needs a variable name",
"value_source.template.error.invalid_name": "Invalid variable name",
"value_source.template.error.reserved_name": "Reserved name cannot be used as an input",
"value_source.template.error.duplicate_name": "Duplicate input name",
"value_source.template.error.unbound": "Expression references an unbound variable",
"automations.rule.http_poll": "HTTP Poll",
"automations.rule.http_poll.desc": "Activate when the latest extracted value from an HTTP value source matches.",
"automations.rule.http_poll.hint": "Compares the latest extracted value against your input. The value source decides what gets extracted (raw body or JSON path).",
+44
View File
@@ -1845,6 +1845,8 @@
"value_source.daylight.speed.hint": "Множитель скорости цикла. 1.0 = полный цикл день/ночь за ~4 минуты.",
"value_source.daylight.use_real_time": "Реальное время:",
"value_source.daylight.use_real_time.hint": "Значение следует за реальным временем суток. Скорость игнорируется.",
"value_source.normalize": "Нормализовать в 0–1:",
"value_source.normalize.hint": "Вкл.: масштабировать сырое значение в 0–1 по Min/Max. Выкл.: значение ограничивается диапазоном 0–1 как есть (для источников, уже выдающих долю 0–1). Сырое значение остаётся доступным в шаблонах (raw[name]) и автоматизациях.",
"value_source.daylight.enable_real_time": "Следовать за часами",
"value_source.daylight.latitude": "Широта:",
"value_source.daylight.latitude.hint": "Географическая широта (-90 до 90). Делает переходы рассвета и заката круче или плавнее.",
@@ -2272,7 +2274,10 @@
"graph.action.connect": "Соединить",
"graph.action.disconnect": "Отсоединить",
"graph.action.move": "Переместить узел",
"graph.action.rewire": "Переподключить слот",
"graph.choose_connection": "Выберите соединение",
"graph.rewire": "Переподключить…",
"graph.rewire_choose_source": "Выберите новый источник",
"graph.issues": "Проблемы",
"graph.issues_none": "Проблем не найдено",
"graph.issue.broken_ref": "Битая ссылка: {field}",
@@ -2283,6 +2288,12 @@
"graph.export": "Экспорт графа (JSON)",
"graph.export_done": "Граф экспортирован",
"graph.export_failed": "Не удалось экспортировать граф",
"graph.duplicate": "Дублировать выбранное",
"graph.duplicate_none": "Выберите один или несколько узлов для дублирования",
"graph.duplicate_none_eligible": "В выборе нечего дублировать (только источники значений и цветовых лент)",
"graph.duplicate_done": "Продублировано источников: {count}",
"graph.duplicate_done_warn": "Продублировано источников: {count} — часть ссылок не удалось перепривязать",
"graph.duplicate_failed": "Не удалось дублировать выбранное",
"graph.delete_with_dependents_confirm": "Этот объект используется {count} другими: {names}. Удалить и разорвать эти связи?",
"automation.enabled": "Автоматизация включена",
"automation.disabled": "Автоматизация выключена",
@@ -2746,6 +2757,39 @@
"value_source.http.modulator.hint": "Используется только когда этот источник управляет яркостью или цветом. Правила автоматизации читают извлечённое значение в исходном виде и игнорируют эти настройки.",
"value_source.http.endpoint_required": "Требуется HTTP-эндпоинт",
"value_source.http.interval_invalid": "Интервал должен быть не меньше 1 секунды",
"value_source.type.template": "Шаблон Jinja",
"value_source.type.template.desc": "Объедините привязанные входы в изолированном выражении Jinja для вычисления значения 0-1.",
"value_source.template.expression": "Выражение:",
"value_source.template.expression.hint": "Изолированное выражение Jinja, возвращающее число. Привязанные входы доступны по имени; используйте raw[name] для ненормализованного значения.",
"value_source.template.expression.placeholder": "clamp((temp - 18) / 10, 0, 1)",
"value_source.template.inputs": "Входы:",
"value_source.template.inputs.hint": "Привяжите числовые источники значений к именам переменных, используемым в выражении.",
"value_source.template.inputs.empty": "Пока нет входов. Нажмите +, чтобы привязать источник значений.",
"value_source.template.add_input": "+ Добавить вход",
"value_source.template.input_name": "имя переменной",
"value_source.template.input_count": "входов",
"value_source.template.input_count_one": "вход",
"value_source.template.default_value": "Значение по умолчанию:",
"value_source.template.default_value.hint": "Значение на выходе, когда выражение нельзя вычислить (например, отсутствует вход).",
"value_source.template.eval_interval": "Интервал вычисления (с):",
"value_source.template.eval_interval.hint": "Как часто пересчитывать выражение. 0 = при каждом опросе (так быстро, как обновляются входы).",
"value_source.template.valid": "Выражение корректно",
"value_source.template.hints.title": "Справка по выражению",
"value_source.template.hints.inputs_title": "Привязанные входы",
"value_source.template.hints.no_inputs": "Входы ещё не привязаны",
"value_source.template.hints.globals_title": "Глобальные функции",
"value_source.template.hints.globals": "min(a, b), max(a, b), abs(x), round(x), clamp(x, lo, hi)",
"value_source.template.hints.raw_title": "Исходные значения",
"value_source.template.hints.raw": "raw[name] даёт ненормализованное значение входа, если оно есть.",
"value_source.template.hints.examples_title": "Примеры",
"value_source.template.hints.time": "Совет: для логики времени суток привяжите источник «Адаптивный (время)» или «Дневной цикл» как вход.",
"value_source.template.error.invalid_expr": "Некорректное выражение",
"value_source.template.error.cycle": "Это выражение создало бы циклическую зависимость",
"value_source.template.error.missing_input": "Каждому входу нужно имя переменной",
"value_source.template.error.invalid_name": "Некорректное имя переменной",
"value_source.template.error.reserved_name": "Зарезервированное имя нельзя использовать как вход",
"value_source.template.error.duplicate_name": "Повторяющееся имя входа",
"value_source.template.error.unbound": "Выражение ссылается на непривязанную переменную",
"automations.rule.http_poll": "HTTP-опрос",
"automations.rule.http_poll.desc": "Срабатывает, когда последнее значение HTTP-источника соответствует условию.",
"automations.rule.http_poll.hint": "Сравнивает последнее извлечённое значение с вашим вводом. Что именно извлекается (тело или JSON-путь), задаётся в источнике-значении.",
+44
View File
@@ -1841,6 +1841,8 @@
"value_source.daylight.speed.hint": "周期速度倍率。1.0 = 完整日夜周期约4分钟。",
"value_source.daylight.use_real_time": "使用实时:",
"value_source.daylight.use_real_time.hint": "启用后,数值跟随实际时间。速度设置将被忽略。",
"value_source.normalize": "归一化到 01",
"value_source.normalize.hint": "开启:使用最小/最大值将原始值缩放到 0–1。关闭:直接将数值钳制到 0–1(适用于本身就输出 0–1 比例的来源)。原始值始终可在模板(raw[name])和自动化中使用。",
"value_source.daylight.enable_real_time": "跟随系统时钟",
"value_source.daylight.latitude": "纬度:",
"value_source.daylight.latitude.hint": "地理纬度(-90到90)。使日出/日落过渡更陡峭或更平缓。",
@@ -2268,7 +2270,10 @@
"graph.action.connect": "连接",
"graph.action.disconnect": "断开连接",
"graph.action.move": "移动节点",
"graph.action.rewire": "重新连接槽位",
"graph.choose_connection": "选择连接",
"graph.rewire": "重新连接…",
"graph.rewire_choose_source": "选择新的来源",
"graph.issues": "问题",
"graph.issues_none": "未发现问题",
"graph.issue.broken_ref": "无效引用:{field}",
@@ -2279,6 +2284,12 @@
"graph.export": "导出图谱 (JSON)",
"graph.export_done": "图谱已导出",
"graph.export_failed": "导出图谱失败",
"graph.duplicate": "复制所选",
"graph.duplicate_none": "请选择一个或多个节点以复制",
"graph.duplicate_none_eligible": "所选内容中没有可复制的项(仅值源和色带源)",
"graph.duplicate_done": "已复制 {count} 个源",
"graph.duplicate_done_warn": "已复制 {count} 个源 — 部分引用无法重新映射",
"graph.duplicate_failed": "复制所选失败",
"graph.delete_with_dependents_confirm": "此实体被 {count} 个其他实体引用:{names}。删除并断开这些连接?",
"automation.enabled": "自动化已启用",
"automation.disabled": "自动化已禁用",
@@ -2740,6 +2751,39 @@
"value_source.http.modulator.hint": "仅当此源用于驱动亮度或颜色时使用。自动化规则会直接读取提取的原始值,并忽略这些设置。",
"value_source.http.endpoint_required": "需要 HTTP 端点",
"value_source.http.interval_invalid": "间隔至少为 1 秒",
"value_source.type.template": "Jinja 模板",
"value_source.type.template.desc": "使用沙盒化的 Jinja 表达式组合已绑定的输入,计算出 0-1 的值。",
"value_source.template.expression": "表达式:",
"value_source.template.expression.hint": "返回数字的沙盒化 Jinja 表达式。已绑定的输入可按名称使用;使用 raw[name] 获取未归一化的值。",
"value_source.template.expression.placeholder": "clamp((temp - 18) / 10, 0, 1)",
"value_source.template.inputs": "输入:",
"value_source.template.inputs.hint": "将浮点值源绑定到你在表达式中引用的变量名。",
"value_source.template.inputs.empty": "暂无输入。点击 + 绑定一个值源。",
"value_source.template.add_input": "+ 添加输入",
"value_source.template.input_name": "变量名",
"value_source.template.input_count": "个输入",
"value_source.template.input_count_one": "个输入",
"value_source.template.default_value": "默认值:",
"value_source.template.default_value.hint": "当表达式无法求值(例如缺少输入)时使用的输出值。",
"value_source.template.eval_interval": "求值间隔(秒):",
"value_source.template.eval_interval.hint": "重新求值表达式的频率。0 = 每次轮询(随输入更新一样快地重新求值)。",
"value_source.template.valid": "表达式有效",
"value_source.template.hints.title": "表达式帮助",
"value_source.template.hints.inputs_title": "已绑定的输入",
"value_source.template.hints.no_inputs": "尚未绑定输入",
"value_source.template.hints.globals_title": "全局函数",
"value_source.template.hints.globals": "min(a, b), max(a, b), abs(x), round(x), clamp(x, lo, hi)",
"value_source.template.hints.raw_title": "原始值",
"value_source.template.hints.raw": "raw[name] 给出某个输入的未归一化值(如果有)。",
"value_source.template.hints.examples_title": "示例",
"value_source.template.hints.time": "提示:要实现一天中的时间逻辑,请将“自适应(时间)”或“日光周期”源绑定为输入。",
"value_source.template.error.invalid_expr": "表达式无效",
"value_source.template.error.cycle": "该表达式会造成依赖循环",
"value_source.template.error.missing_input": "每个输入都需要一个变量名",
"value_source.template.error.invalid_name": "变量名无效",
"value_source.template.error.reserved_name": "保留名称不能用作输入",
"value_source.template.error.duplicate_name": "输入名称重复",
"value_source.template.error.unbound": "表达式引用了未绑定的变量",
"automations.rule.http_poll": "HTTP 轮询",
"automations.rule.http_poll.desc": "当 HTTP 值源的最新提取值匹配时激活。",
"automations.rule.http_poll.hint": "将最新的提取值与您的输入进行比较。提取的内容(原始响应体或 JSON 路径)由值源决定。",
@@ -6,7 +6,10 @@ writes go through to SQLite immediately (write-through cache).
"""
import asyncio
import copy
import threading
import uuid
from datetime import datetime, timezone
from typing import Callable, Dict, Generic, List, TypeVar
from ledgrab.storage.database import Database
@@ -26,6 +29,10 @@ class BaseSqliteStore(Generic[T]):
_table_name: str
_entity_name: str
# Opt-in allowlist for clone(): defaults off so a new (possibly
# secret-bearing) store is never cloneable by accident. Subclasses that hold
# no inline secrets and are safe to duplicate set this True.
_cloneable: bool = False
def __init__(self, db: Database, deserializer: Callable[[dict], T]):
self._db = db
@@ -136,13 +143,50 @@ class BaseSqliteStore(Generic[T]):
await asyncio.to_thread(self._delete_item, item_id)
logger.info(f"Deleted {self._entity_name}: {item_id}")
def clone(self, item_id: str, new_name: str) -> T:
"""Faithfully duplicate an entity under a new id and name.
Deep-copies every field of the original (no serialize/deserialize
round-trip, so no field can be silently lost to a schema/dataclass name
mismatch), mints a fresh id that preserves the original's id prefix,
applies ``new_name`` and resets timestamps. References *inside* the clone
still point at whatever the original referenced callers that want to
rewire intra-set references must do so after cloning.
SECURITY: this copies *every* field verbatim, including any secret a
model might hold. Callers must restrict cloning to non-secret-bearing
kinds (see ``_DUPLICABLE_KINDS`` in ``api/routes/graph.py``).
"""
if not self._cloneable:
raise NotImplementedError(f"{self._entity_name} store does not support cloning")
with self._lock:
if item_id not in self._items:
from ledgrab.storage.base_store import EntityNotFoundError
raise EntityNotFoundError(f"{self._entity_name} not found: {item_id}")
self._check_name_unique(new_name)
new = copy.deepcopy(self._items[item_id])
prefix = item_id.rsplit("_", 1)[0] if "_" in item_id else item_id
new_id = f"{prefix}_{uuid.uuid4().hex[:8]}"
now = datetime.now(timezone.utc)
new.id = new_id
new.name = new_name
if hasattr(new, "created_at"):
new.created_at = now
if hasattr(new, "updated_at"):
new.updated_at = now
self._items[new_id] = new
self._save_item(new_id, new)
logger.info("Cloned %s %s -> %s (%s)", self._entity_name, item_id, new_id, new_name)
return new
def count(self) -> int:
with self._lock:
return len(self._items)
# -- Helpers -------------------------------------------------------------
def _check_name_unique(self, name: str, exclude_id: str = None) -> None:
def _check_name_unique(self, name: str, exclude_id: str | None = None) -> None:
"""Raise ValueError if *name* is empty or already taken.
Must be called while holding ``self._lock``.
@@ -33,6 +33,7 @@ class ColorStripStore(BaseSqliteStore[ColorStripSource]):
_table_name = "color_strip_sources"
_entity_name = "Color strip source"
_cloneable = True # no inline secrets — only references shared entities by id
def __init__(self, db: Database):
super().__init__(db, ColorStripSource.from_dict)
@@ -66,6 +66,11 @@ class ValueSource:
"use_real_time": None,
"latitude": None,
"longitude": None,
# Template (Jinja expression combinator)
"template": None,
"inputs": None,
"default_value": None,
"eval_interval": None,
}
if self.icon:
d["icon"] = self.icon
@@ -391,6 +396,11 @@ class HAEntityValueSource(ValueSource):
min_ha_value: float = 0.0 # raw HA value mapped to output 0.0
max_ha_value: float = 100.0 # raw HA value mapped to output 1.0
smoothing: float = 0.0 # EMA smoothing factor (0.01.0)
# When False, skip the min/max rescale: get_value() clamps the raw value
# into [0,1] as-is (for entities that already report a 01 fraction). The
# un-clamped magnitude stays available via get_raw_value(). get_value() is
# always in [0,1] regardless, so the normalized scalar bus is preserved.
normalize: bool = True
def to_dict(self) -> dict:
d = super().to_dict()
@@ -400,6 +410,7 @@ class HAEntityValueSource(ValueSource):
d["min_ha_value"] = self.min_ha_value
d["max_ha_value"] = self.max_ha_value
d["smoothing"] = self.smoothing
d["normalize"] = self.normalize
return d
@classmethod
@@ -416,6 +427,7 @@ class HAEntityValueSource(ValueSource):
data.get("max_ha_value") if data.get("max_ha_value") is not None else 100.0
),
smoothing=float(data.get("smoothing") or 0.0),
normalize=bool(data.get("normalize", True)),
)
@@ -514,6 +526,13 @@ class GameEventValueSource(ValueSource):
smoothing: float = 0.0 # EMA smoothing factor (0.0-1.0)
default_value: float = 0.5 # value when timed out or no events
timeout: float = 5.0 # seconds before reverting to default
# When False, skip the min/max rescale: get_value() clamps the raw game
# value into [0,1] as-is. The un-clamped value stays available via
# get_raw_value(). get_value() is always in [0,1]. See HAEntityValueSource.
# NOTE: game_event has no value-source CRUD schema/API (constructed only via
# the game-integration path), so this flag is settable only there, not over
# POST/PUT /value-sources.
normalize: bool = True
def to_dict(self) -> dict:
d = super().to_dict()
@@ -524,6 +543,7 @@ class GameEventValueSource(ValueSource):
d["smoothing"] = self.smoothing
d["default_value"] = self.default_value
d["timeout"] = self.timeout
d["normalize"] = self.normalize
return d
@classmethod
@@ -543,6 +563,7 @@ class GameEventValueSource(ValueSource):
data.get("default_value") if data.get("default_value") is not None else 0.5
),
timeout=float(data.get("timeout") if data.get("timeout") is not None else 5.0),
normalize=bool(data.get("normalize", True)),
)
@@ -562,6 +583,10 @@ class SystemMetricsValueSource(ValueSource):
sensor_label: str = "" # for cpu_temp/fan_speed (empty = first available)
poll_interval: float = 1.0 # seconds between reads
smoothing: float = 0.0 # EMA smoothing factor
# When False, skip the min/max rescale: get_value() clamps the raw metric
# into [0,1] as-is. The un-clamped reading stays available via
# get_raw_value(). get_value() is always in [0,1]. See HAEntityValueSource.
normalize: bool = True
def to_dict(self) -> dict:
d = super().to_dict()
@@ -573,6 +598,7 @@ class SystemMetricsValueSource(ValueSource):
d["sensor_label"] = self.sensor_label
d["poll_interval"] = self.poll_interval
d["smoothing"] = self.smoothing
d["normalize"] = self.normalize
return d
@classmethod
@@ -591,6 +617,7 @@ class SystemMetricsValueSource(ValueSource):
sensor_label=data.get("sensor_label") or "",
poll_interval=float(data.get("poll_interval") or 1.0),
smoothing=float(data.get("smoothing") or 0.0),
normalize=bool(data.get("normalize", True)),
)
@@ -617,6 +644,11 @@ class HTTPValueSource(ValueSource):
min_value: float = 0.0 # raw value → 0.0
max_value: float = 100.0 # raw value → 1.0
smoothing: float = 0.0 # EMA smoothing on the normalized output
# When False, skip the min/max rescale: get_value() coerces the extracted
# value to float and clamps it into [0,1] as-is. The verbatim extracted
# value (which may be str/bool) stays available via get_raw_value().
# get_value() is always a float in [0,1]. See HAEntityValueSource.
normalize: bool = True
def to_dict(self) -> dict:
d = super().to_dict()
@@ -626,6 +658,7 @@ class HTTPValueSource(ValueSource):
d["min_value"] = self.min_value
d["max_value"] = self.max_value
d["smoothing"] = self.smoothing
d["normalize"] = self.normalize
return d
@classmethod
@@ -640,6 +673,70 @@ class HTTPValueSource(ValueSource):
min_value=float(data.get("min_value") or 0.0),
max_value=float(data.get("max_value") if data.get("max_value") is not None else 100.0),
smoothing=float(data.get("smoothing") or 0.0),
normalize=bool(data.get("normalize", True)),
)
def _coerce_float(value, fallback):
"""Best-effort float; returns ``fallback`` on None/non-numeric.
Keeps a tampered DB / buggy migration from dropping the whole row when
BaseSqliteStore's loader swallows a per-row deserialization error.
"""
try:
return float(value)
except (TypeError, ValueError):
return fallback
@dataclass
class TemplateValueSource(ValueSource):
"""Value source that evaluates a sandboxed Jinja expression over the live
values of other value sources (the system's float combinator).
``template`` is a Jinja *expression* (no statements/blocks) evaluated by the
hardened engine in :mod:`ledgrab.utils.template_expr`. Each entry in
``inputs`` binds a variable ``name`` to another value source by id; at
runtime the variable holds that source's normalized ``get_value()`` (0..1)
and ``raw[name]`` holds its un-normalized ``get_raw_value()`` (float) where
the stream exposes one. The callables ``min``/``max``/``abs``/``round``/
``clamp`` are available. The result is coerced to float, NaN/inf rejected,
and clamped to [0, 1]; any error falls back to ``default_value``.
"""
template: str = ""
inputs: List[dict] = field(default_factory=list) # [{name, value_source_id}]
default_value: float = 0.0 # fallback when the expression errors (0.0-1.0)
eval_interval: float | None = None # re-eval throttle (s); None/0 = every poll
def to_dict(self) -> dict:
d = super().to_dict()
d["template"] = self.template
d["inputs"] = [dict(i) for i in self.inputs]
d["default_value"] = self.default_value
d["eval_interval"] = self.eval_interval
d["return_type"] = "float"
return d
@classmethod
def from_dict(cls, data: dict) -> "TemplateValueSource":
common = _parse_common_fields(data)
raw_inputs = data.get("inputs") or []
inputs = [
{
"name": str(i.get("name", "")),
"value_source_id": str(i.get("value_source_id", "")),
}
for i in raw_inputs
if isinstance(i, dict)
]
return cls(
**common,
source_type="template",
template=data.get("template") or "",
inputs=inputs,
default_value=_coerce_float(data.get("default_value"), 0.0),
eval_interval=_coerce_float(data.get("eval_interval"), None),
)
@@ -661,4 +758,5 @@ _VALUE_SOURCE_MAP: Dict[str, Type[ValueSource]] = {
"system_metrics": SystemMetricsValueSource,
"game_event": GameEventValueSource,
"http": HTTPValueSource,
"template": TemplateValueSource,
}
@@ -40,6 +40,7 @@ from ledgrab.storage.value_source import (
StaticColorValueSource,
StaticValueSource,
SystemMetricsValueSource,
TemplateValueSource,
ValueSource,
_VALUE_SOURCE_MAP,
)
@@ -237,6 +238,7 @@ def _build_ha_entity(
min_ha_value: float | None = None,
max_ha_value: float | None = None,
smoothing: float | None = None,
normalize: bool | None = None,
**_,
) -> ValueSource:
if not ha_source_id:
@@ -251,6 +253,7 @@ def _build_ha_entity(
min_ha_value=min_ha_value if min_ha_value is not None else 0.0,
max_ha_value=max_ha_value if max_ha_value is not None else 100.0,
smoothing=smoothing if smoothing is not None else 0.0,
normalize=normalize if normalize is not None else True,
)
@@ -301,6 +304,7 @@ def _build_system_metrics(
sensor_label: str | None = None,
poll_interval: float | None = None,
smoothing: float | None = None,
normalize: bool | None = None,
**_,
) -> ValueSource:
m = metric or "cpu_load"
@@ -316,6 +320,7 @@ def _build_system_metrics(
sensor_label=sensor_label or "",
poll_interval=poll_interval if poll_interval is not None else 1.0,
smoothing=smoothing if smoothing is not None else 0.0,
normalize=normalize if normalize is not None else True,
)
@@ -347,6 +352,7 @@ def _build_http(
min_value: float | None = None,
max_value: float | None = None,
smoothing: float | None = None,
normalize: bool | None = None,
**_,
) -> ValueSource:
if not http_endpoint_id:
@@ -362,6 +368,80 @@ def _build_http(
min_value=min_value if min_value is not None else 0.0,
max_value=max_value if max_value is not None else 100.0,
smoothing=smoothing if smoothing is not None else 0.0,
normalize=normalize if normalize is not None else True,
)
def _validate_template_inputs(inputs: list | None) -> list:
"""Validate + normalize template input bindings.
Each input is ``{name, value_source_id}``; ``name`` must be a valid,
non-reserved identifier and unique. ``value_source_id`` is *not* required to
resolve (lenient, like gradient_map) a missing/unknown id just yields a
runtime fallback to ``default_value``.
"""
from ledgrab.utils.template_expr import validate_input_name
result: list = []
seen: set = set()
for item in inputs or []:
if not isinstance(item, dict):
raise ValueError("each template input must be an object with name and value_source_id")
name = str(item.get("name", "")).strip()
vs_id = str(item.get("value_source_id", "")).strip()
validate_input_name(name) # identifier + reserved-name check (raises ValueError)
if name in seen:
raise ValueError(f"duplicate template input name: {name!r}")
seen.add(name)
result.append({"name": name, "value_source_id": vs_id})
return result
def _reject_unbound_template_vars(template: str, inputs: list) -> None:
"""Reject expression variables that aren't bound to an input.
An unbound variable raises ``UndefinedError`` at runtime, so the template
would silently always return ``default_value`` almost always a typo. The
globals (min/max/abs/round/clamp) and ``raw`` are excluded by
``extract_variables``, so anything left over is genuinely unbound.
"""
from ledgrab.utils.template_expr import extract_variables
declared = {i["name"] for i in inputs}
undeclared = sorted(set(extract_variables(template)) - declared)
if undeclared:
raise ValueError("expression uses unbound variable(s): " + ", ".join(undeclared))
def _build_template(
*,
common: dict,
template: str | None = None,
inputs: list | None = None,
default_value: float | None = None,
eval_interval: float | None = None,
**_,
) -> ValueSource:
from ledgrab.utils.template_expr import validate_template_expression
tpl = (template or "").strip()
if not tpl:
raise ValueError("template expression is required for template type")
validate_template_expression(tpl) # raises ValueError on compile / cost-bomb
clean_inputs = _validate_template_inputs(inputs)
_reject_unbound_template_vars(tpl, clean_inputs)
dv = default_value if default_value is not None else 0.0
if not (0.0 <= dv <= 1.0):
raise ValueError("default_value must be between 0.0 and 1.0")
ei = float(eval_interval) if eval_interval is not None else None
if ei is not None and ei < 0.0:
raise ValueError("eval_interval must be >= 0")
return TemplateValueSource(
**common,
template=tpl,
inputs=clean_inputs,
default_value=dv,
eval_interval=ei,
)
@@ -381,6 +461,7 @@ CREATE_BUILDERS: Dict[str, CreateBuilder] = {
"system_metrics": _build_system_metrics,
"game_event": _build_game_event,
"http": _build_http,
"template": _build_template,
}
@@ -569,6 +650,7 @@ def _apply_ha_entity(
min_ha_value=None,
max_ha_value=None,
smoothing=None,
normalize=None,
**_,
) -> None:
if ha_source_id is not None:
@@ -583,6 +665,8 @@ def _apply_ha_entity(
source.max_ha_value = max_ha_value
if smoothing is not None:
source.smoothing = smoothing
if normalize is not None:
source.normalize = normalize
def _apply_gradient_map(
@@ -630,6 +714,7 @@ def _apply_system_metrics(
sensor_label=None,
poll_interval=None,
smoothing=None,
normalize=None,
**_,
) -> None:
if metric is not None:
@@ -650,6 +735,8 @@ def _apply_system_metrics(
source.poll_interval = poll_interval
if smoothing is not None:
source.smoothing = smoothing
if normalize is not None:
source.normalize = normalize
def _apply_game_event(source: GameEventValueSource, **_) -> None:
@@ -667,6 +754,7 @@ def _apply_http(
min_value=None,
max_value=None,
smoothing=None,
normalize=None,
**_,
) -> None:
if http_endpoint_id is not None:
@@ -683,6 +771,47 @@ def _apply_http(
source.max_value = max_value
if smoothing is not None:
source.smoothing = smoothing
if normalize is not None:
source.normalize = normalize
def _apply_template(
source: TemplateValueSource,
*,
template=None,
inputs=None,
default_value=None,
eval_interval=None,
**_,
) -> None:
from ledgrab.utils.template_expr import validate_template_expression
# Compute the prospective final state and validate it BEFORE mutating, so a
# rejected update never leaves the cached object half-applied. (inputs/
# template may each change independently; unbound vars are checked against
# the combined final state.)
final_template = template.strip() if template is not None else source.template
final_inputs = _validate_template_inputs(inputs) if inputs is not None else source.inputs
if template is not None:
if not final_template:
raise ValueError("template expression cannot be empty")
validate_template_expression(final_template)
if template is not None or inputs is not None:
_reject_unbound_template_vars(final_template, final_inputs)
if template is not None:
source.template = final_template
if inputs is not None:
source.inputs = final_inputs
if default_value is not None:
if not (0.0 <= default_value <= 1.0):
raise ValueError("default_value must be between 0.0 and 1.0")
source.default_value = default_value
if eval_interval is not None:
if eval_interval < 0.0:
raise ValueError("eval_interval must be >= 0")
source.eval_interval = eval_interval
UPDATE_APPLIERS: Dict[str, UpdateApplier] = {
@@ -701,6 +830,7 @@ UPDATE_APPLIERS: Dict[str, UpdateApplier] = {
"system_metrics": _apply_system_metrics,
"game_event": _apply_game_event,
"http": _apply_http,
"template": _apply_template,
}
@@ -12,7 +12,11 @@ from datetime import datetime, timezone
from ledgrab.storage.base_sqlite_store import BaseSqliteStore
from ledgrab.storage.database import Database
from ledgrab.storage.value_source import ValueSource
from ledgrab.storage.value_source import (
GradientMapValueSource,
TemplateValueSource,
ValueSource,
)
from ledgrab.storage.value_source_factories import (
apply_update as _apply_value_source_update,
build_source as _build_value_source,
@@ -21,12 +25,18 @@ from ledgrab.utils import get_logger
logger = get_logger(__name__)
# Storage-level cap on value-source reference nesting depth. The runtime acquire
# backstop (ValueStreamManager) uses a higher cap so legitimate chains never trip
# it. Color-strip sources cap at 4; value-source chains are flatter combinators.
MAX_VALUE_SOURCE_DEPTH = 8
class ValueSourceStore(BaseSqliteStore[ValueSource]):
"""Persistent storage for value sources."""
_table_name = "value_sources"
_entity_name = "Value source"
_cloneable = True # no inline secrets — only references shared entities by id
def __init__(self, db: Database):
super().__init__(db, ValueSource.from_dict)
@@ -66,6 +76,12 @@ class ValueSourceStore(BaseSqliteStore[ValueSource]):
**kwargs,
)
# Reject over-deep reference chains (cycles are impossible at create:
# the new id is not yet referenceable by anything).
child_ids = self._child_ids_of(source)
if child_ids:
self.validate_nesting(None, child_ids)
# Name-uniqueness happens last so we never burn a uuid on a source
# we end up rejecting AND so the user-facing error precedence
# (type errors before name errors) matches the old code's order.
@@ -87,6 +103,13 @@ class ValueSourceStore(BaseSqliteStore[ValueSource]):
"""
source = self.get(source_id)
# Cycle/depth guard FIRST — before any field mutation — so a rejection
# never leaves the cached object half-mutated. validate_nesting works
# off the prospective child ids derived from kwargs without applying them.
child_ids = self._prospective_child_ids(source, kwargs)
if child_ids:
self.validate_nesting(source_id, child_ids)
name = kwargs.pop("name", None)
if name is not None:
self._check_name_unique(name, exclude_id=source_id)
@@ -118,3 +141,110 @@ class ValueSourceStore(BaseSqliteStore[ValueSource]):
logger.info(f"Updated value source: {source_id}")
return source
# ── Reference graph (cycle / depth / referential integrity) ──────
#
# Value sources may reference other value sources: gradient_map via
# ``value_source_id`` and template via ``inputs[].value_source_id``. (Note:
# css_extract.color_strip_source_id points into the *color strip* store, a
# different graph, so it is intentionally not followed here.) Without a
# guard, a cycle would infinitely recurse in ValueStreamManager.acquire().
@staticmethod
def _child_ids_of(source: ValueSource) -> list[str]:
"""Value-source ids that ``source`` references (gradient_map / template)."""
if isinstance(source, TemplateValueSource):
return [
i["value_source_id"]
for i in source.inputs
if isinstance(i, dict) and i.get("value_source_id")
]
if isinstance(source, GradientMapValueSource):
return [source.value_source_id] if source.value_source_id else []
return []
def _prospective_child_ids(self, source: ValueSource, kwargs: dict) -> list[str]:
"""Child ids the source *would* reference after applying ``kwargs``.
Computed without mutating ``source`` so cycle/depth validation can run
before the update is applied (a raise must not leave a half-mutated
cached object).
"""
if isinstance(source, TemplateValueSource):
inputs = kwargs.get("inputs")
if inputs is None:
inputs = source.inputs
return [
i["value_source_id"]
for i in (inputs or [])
if isinstance(i, dict) and i.get("value_source_id")
]
if isinstance(source, GradientMapValueSource):
vs_id = kwargs.get("value_source_id")
if vs_id is None:
vs_id = source.value_source_id
return [vs_id] if vs_id else []
return []
def get_transitive_dependencies(self, source_id: str) -> set[str]:
"""All value-source ids reachable from ``source_id`` via reference edges."""
seen: set[str] = set()
stack = self._children_of_id(source_id)
while stack:
cid = stack.pop()
if cid in seen:
continue
seen.add(cid)
stack.extend(self._children_of_id(cid))
return seen
def _children_of_id(self, source_id: str) -> list[str]:
try:
src = self.get(source_id)
except Exception:
return []
return self._child_ids_of(src)
def _max_depth(self, ids: list[str], visiting: set[str]) -> int:
"""Longest reference chain length starting at any id in ``ids``."""
best = 0
for cid in ids:
if cid in visiting:
continue # cycle — handled separately; don't recurse forever
try:
src = self.get(cid)
except Exception:
depth = 1 # unresolved leaf still counts as one hop
else:
depth = 1 + self._max_depth(self._child_ids_of(src), visiting | {cid})
best = max(best, depth)
return best
def validate_nesting(self, parent_id: str | None, child_ids: list[str]) -> None:
"""Reject self-reference, circular dependencies, and over-deep nesting.
``parent_id`` is ``None`` at create time a brand-new node has no id, so
no existing source can reference it and a cycle through it is impossible;
only the depth check applies. At update time the cycle check runs too.
"""
if 1 + self._max_depth(child_ids, set()) > MAX_VALUE_SOURCE_DEPTH:
raise ValueError(
f"value source reference chain too deep (max {MAX_VALUE_SOURCE_DEPTH})"
)
if parent_id is None:
return
for cid in child_ids:
if cid == parent_id:
raise ValueError("a value source cannot reference itself")
if parent_id in self.get_transitive_dependencies(cid):
raise ValueError(f"input {cid!r} creates a circular value-source dependency")
def find_referencing_sources(self, source_id: str) -> list[str]:
"""Names of value sources that reference ``source_id`` (for delete-protection)."""
names: list[str] = []
for src in self.get_all():
if src.id == source_id:
continue
if source_id in self._child_ids_of(src):
names.append(src.name)
return names
@@ -62,6 +62,7 @@
<option value="css_extract" data-i18n="value_source.type.css_extract">Strip Extract</option>
<option value="system_metrics" data-i18n="value_source.type.system_metrics">System Metrics</option>
<option value="http" data-i18n="value_source.type.http">HTTP Poll</option>
<option value="template" data-i18n="value_source.type.template">Jinja Template</option>
</select>
</div>
@@ -394,6 +395,18 @@
<input type="text" id="value-source-attribute" placeholder="">
</div>
<div class="form-group">
<div class="label-row">
<label for="value-source-ha-normalize" data-i18n="value_source.normalize">Normalize to 01:</label>
<button type="button" class="hint-toggle" onclick="toggleHint(this)" title="?" data-i18n-aria-label="aria.hint">?</button>
</div>
<small class="input-hint" style="display:none" data-i18n="value_source.normalize.hint">On: rescale the raw value to 01 using Min/Max below. Off: the value is clamped to 01 as-is (for entities that already report a 01 fraction). The raw value is always available to templates (raw[name]) and automations.</small>
<label class="settings-toggle">
<input type="checkbox" id="value-source-ha-normalize" checked onchange="onValueSourceNormalizeChange()">
<span class="settings-toggle-slider"></span>
</label>
</div>
<div class="form-group">
<div class="label-row">
<label for="value-source-min-ha-value"><span data-i18n="value_source.min_ha_value">Min HA Value:</span> <span id="value-source-min-ha-value-display">0</span></label>
@@ -456,6 +469,82 @@
</div>
</div>
<!-- Template (Jinja expression) fields -->
<div id="value-source-template-section" style="display:none">
<div class="form-group">
<div class="label-row">
<label for="value-source-template-expression" data-i18n="value_source.template.expression">Expression:</label>
<button type="button" class="hint-toggle" onclick="toggleHint(this)" title="?" data-i18n-aria-label="aria.hint">?</button>
</div>
<small class="input-hint" style="display:none" data-i18n="value_source.template.expression.hint">A sandboxed Jinja expression returning a number. Bound inputs are available by name; use raw[name] for the un-normalized value.</small>
<!-- The highlight overlay is injected around this textarea by jinja-editor.ts -->
<textarea id="value-source-template-expression" rows="3" spellcheck="false"
data-i18n-placeholder="value_source.template.expression.placeholder"
placeholder="clamp((temp - 18) / 10, 0, 1)"></textarea>
<div id="value-source-template-error" class="field-error-msg" style="display:none"></div>
<div id="value-source-template-ok" class="field-ok-msg" style="display:none"></div>
<div id="value-source-template-warn" class="field-warn-msg" style="display:none"></div>
<details class="jinja-hints">
<summary data-i18n="value_source.template.hints.title">Expression help</summary>
<div class="jinja-hints-body">
<div class="jinja-hints-section">
<span class="jinja-hints-section-title" data-i18n="value_source.template.hints.inputs_title">Bound inputs</span>
<div id="value-source-template-hint-vars" class="jinja-hints-vars"></div>
</div>
<div class="jinja-hints-section">
<span class="jinja-hints-section-title" data-i18n="value_source.template.hints.globals_title">Globals</span>
<div data-i18n="value_source.template.hints.globals">min(a, b), max(a, b), abs(x), round(x), clamp(x, lo, hi)</div>
</div>
<div class="jinja-hints-section">
<span class="jinja-hints-section-title" data-i18n="value_source.template.hints.raw_title">Raw values</span>
<div data-i18n="value_source.template.hints.raw">raw[name] gives the un-normalized value of an input that has one.</div>
</div>
<div class="jinja-hints-section">
<span class="jinja-hints-section-title" data-i18n="value_source.template.hints.examples_title">Examples</span>
<ul class="jinja-hints-examples">
<li><code>min(audio * 2, 1)</code></li>
<li><code>clamp((temp - 18) / 10, 0, 1)</code></li>
<li><code>(a + b) / 2</code></li>
</ul>
</div>
<div class="jinja-hints-section">
<small class="jinja-hints-time" data-i18n="value_source.template.hints.time">Tip: for time-of-day logic, bind an Adaptive (Time) or Daylight source as an input.</small>
</div>
</div>
</details>
</div>
<div class="form-group">
<div class="label-row">
<label data-i18n="value_source.template.inputs">Inputs:</label>
<button type="button" class="hint-toggle" onclick="toggleHint(this)" title="?" data-i18n-aria-label="aria.hint">?</button>
</div>
<small class="input-hint" style="display:none" data-i18n="value_source.template.inputs.hint">Bind float value sources to variable names you reference in the expression.</small>
<div id="value-source-template-inputs-list" class="template-inputs-list"></div>
<button type="button" class="btn btn-secondary btn-sm" onclick="addTemplateInput()" data-i18n="value_source.template.add_input">+ Add Input</button>
</div>
<div class="form-group">
<div class="label-row">
<label for="value-source-template-default-value"><span data-i18n="value_source.template.default_value">Default Value:</span> <span id="value-source-template-default-value-display">0.00</span></label>
<button type="button" class="hint-toggle" onclick="toggleHint(this)" title="?" data-i18n-aria-label="aria.hint">?</button>
</div>
<small class="input-hint" style="display:none" data-i18n="value_source.template.default_value.hint">Output used when the expression cannot be evaluated (e.g. an input is missing).</small>
<input type="range" id="value-source-template-default-value" min="0" max="1" step="0.01" value="0"
oninput="document.getElementById('value-source-template-default-value-display').textContent = parseFloat(this.value).toFixed(2)">
</div>
<div class="form-group">
<div class="label-row">
<label for="value-source-template-eval-interval" data-i18n="value_source.template.eval_interval">Eval Interval (s):</label>
<button type="button" class="hint-toggle" onclick="toggleHint(this)" title="?" data-i18n-aria-label="aria.hint">?</button>
</div>
<small class="input-hint" style="display:none" data-i18n="value_source.template.eval_interval.hint">How often to re-evaluate the expression. 0 = every poll (re-evaluate as fast as the inputs update).</small>
<input type="number" id="value-source-template-eval-interval" min="0" step="0.1" value="0">
</div>
</div>
<!-- CSS Extract fields -->
<div id="value-source-css-extract-section" style="display:none">
<div class="form-group">
@@ -509,6 +598,18 @@
</select>
</div>
<div class="form-group" id="value-source-sysmetric-normalize-group">
<div class="label-row">
<label for="value-source-sysmetric-normalize" data-i18n="value_source.normalize">Normalize to 01:</label>
<button type="button" class="hint-toggle" onclick="toggleHint(this)" title="?" data-i18n-aria-label="aria.hint">?</button>
</div>
<small class="input-hint" style="display:none" data-i18n="value_source.normalize.hint">On: rescale the raw value to 01 using Min/Max below. Off: the value is clamped to 01 as-is (for metrics that already report a 01 fraction). The raw value is always available to templates (raw[name]) and automations.</small>
<label class="settings-toggle">
<input type="checkbox" id="value-source-sysmetric-normalize" checked onchange="onValueSourceNormalizeChange()">
<span class="settings-toggle-slider"></span>
</label>
</div>
<div id="value-source-sysmetric-range" style="display:none">
<div class="form-group">
<label for="value-source-sysmetric-min"><span data-i18n="value_source.sysmetric.min">Min Value:</span></label>
@@ -670,6 +771,17 @@
<summary data-i18n="value_source.http.modulator.summary">Modulator mapping (optional)</summary>
<div class="form-collapse-body">
<small class="input-hint" data-i18n="value_source.http.modulator.hint">Only used when this source drives brightness or color. Automation rules read the raw extracted value and ignore these settings.</small>
<div class="form-group">
<div class="label-row">
<label for="value-source-http-normalize" data-i18n="value_source.normalize">Normalize to 01:</label>
<button type="button" class="hint-toggle" onclick="toggleHint(this)" title="?" data-i18n-aria-label="aria.hint">?</button>
</div>
<small class="input-hint" style="display:none" data-i18n="value_source.normalize.hint">On: rescale the raw value to 01 using Min/Max below. Off: the value is clamped to 01 as-is (for endpoints that already return a 01 fraction). The raw value is always available to templates (raw[name]) and automations.</small>
<label class="settings-toggle">
<input type="checkbox" id="value-source-http-normalize" checked onchange="onValueSourceNormalizeChange()">
<span class="settings-toggle-slider"></span>
</label>
</div>
<div class="form-group">
<div class="label-row">
<label for="value-source-http-min" data-i18n="value_source.http.min_value">Min Value:</label>
+2
View File
@@ -3,6 +3,7 @@
from .file_ops import atomic_write_json, read_upload_capped
from .logger import setup_logging, get_logger
from .monitor_names import get_monitor_names, get_monitor_name, get_monitor_refresh_rates
from .numeric import clamp01
from .timer import high_resolution_timer
from .log_broadcaster import broadcaster as log_broadcaster, install_broadcast_handler
from .url_scheme import infer_http_scheme
@@ -15,6 +16,7 @@ __all__ = [
"get_monitor_names",
"get_monitor_name",
"get_monitor_refresh_rates",
"clamp01",
"high_resolution_timer",
"log_broadcaster",
"install_broadcast_handler",
+24
View File
@@ -0,0 +1,24 @@
"""Small numeric helpers shared across the processing layer."""
from __future__ import annotations
import math
def clamp01(x: float, default: float = 0.0) -> float:
"""Clamp ``x`` into the unit interval ``[0.0, 1.0]``, finite-safe.
NaN/inf are rejected to ``default`` *before* clamping they are valid
floats, so ``max/min`` alone would silently pass them through (and an
``int(base * inf)`` cast downstream raises OverflowError, ``int(nan)``
raises ValueError). Use this at any boundary that feeds a value into a
fixed-point / uint brightness multiply where a non-finite or out-of-range
value would corrupt or crash the math.
"""
if not math.isfinite(x):
return default
if x < 0.0:
return 0.0
if x > 1.0:
return 1.0
return x
+209
View File
@@ -0,0 +1,209 @@
"""Hardened sandboxed-Jinja expression engine for template value sources.
Single source of truth for compiling, validating, and evaluating user-authored
Jinja *expressions* that combine the live values of other value sources into a
single float in [0, 1]. Imported by the storage factory (create/update
validation), the runtime ``TemplateValueStream``, and the validate-template API
route, so the client and server can never disagree about what is valid.
Security model a user-authored expression is attacker-influenceable config
that runs server-side (LAN device, shareable backups), so we layer defenses:
* :class:`~jinja2.sandbox.ImmutableSandboxedEnvironment` blocks ``__class__`` /
``mro`` traversal, mutation, and unsafe attribute/method access.
* ALL default filters and tests are stripped (``|attr``, ``|pprint``, ``|map``,
``|format`` ) and the auto-injected globals (``range``, ``dict``,
``namespace``, ``cycler``, ``lipsum``, ``joiner``) are removed none are
needed for numeric math and several are escape/DoS amplifiers.
* Only five vetted numeric callables are exposed: ``min``, ``max``, ``abs``,
``round``, ``clamp``.
* The evaluation context contains ONLY primitive floats plus a flat dict of
floats (``raw``) never any application object so even a hypothetical
sandbox escape has nothing privileged to pivot to.
* Obvious cost bombs are rejected at validate time: the ``**`` (power) operator
and string/list ``*`` repetition can hang or OOM the interpreter, which
``try/except`` cannot catch.
* The result is coerced to float, NaN/inf are rejected (they are valid floats,
not exceptions, so clamping alone would silently keep them), then clamped.
"""
from __future__ import annotations
import math
import re
from typing import Any
from jinja2 import nodes
from jinja2.exceptions import TemplateError
from jinja2.sandbox import ImmutableSandboxedEnvironment
def clamp(x: float, lo: float = 0.0, hi: float = 1.0) -> float:
"""Clamp ``x`` into ``[lo, hi]`` (defaults to the unit interval)."""
return max(lo, min(hi, x))
# The five callables a template author may use. Kept as the *only* names in the
# environment globals so no other builtin/Jinja helper is reachable.
GLOBALS: dict[str, Any] = {
"min": min,
"max": max,
"abs": abs,
"round": round,
"clamp": clamp,
}
# Input variable names that would shadow a global or the ``raw`` dict (and thus
# silently break the expression) or that Jinja auto-injects. Rejected at save
# time so the user gets a clear error instead of a template that always falls
# back to ``default_value``.
RESERVED_NAMES: frozenset[str] = frozenset(
{*GLOBALS, "raw", "range", "dict", "namespace", "cycler", "lipsum", "joiner"}
)
_IDENT_RE = re.compile(r"^[A-Za-z_][A-Za-z0-9_]*$")
class TemplateValidationError(ValueError):
"""Raised when a template expression (or an input name) is invalid/unsafe.
Subclasses :class:`ValueError` so existing route handlers that map
``ValueError -> HTTP 400`` surface a clean message automatically.
"""
def _build_env() -> ImmutableSandboxedEnvironment:
env = ImmutableSandboxedEnvironment(autoescape=False)
# Strip the entire default filter/test surface — numeric expressions need
# none of them, and |attr/|pprint/|map/|format are escape/DoS amplifiers.
env.filters.clear()
env.tests.clear()
# Replace the auto-injected globals (range/dict/namespace/cycler/...) with
# only our five vetted callables.
env.globals.clear()
env.globals.update(GLOBALS)
return env
# Module-level shared environment. Compiled expressions and evaluation are
# cheap; the environment itself is immutable config built once.
SANDBOX_ENV = _build_env()
def _clean_jinja_error(exc: TemplateError) -> str:
"""A user-facing one-line message from a Jinja compile error."""
msg = str(exc) or exc.__class__.__name__
return msg.strip()
def _guard_ast(template: str) -> None:
"""Reject cost-bomb / disallowed constructs via the Jinja AST.
Called only on already-compilable single expressions, so wrapping in an
output block is safe (a ``}}`` inside a string literal stays inside it).
"""
try:
tree = SANDBOX_ENV.parse("{{ (" + template + ") }}")
except TemplateError as exc: # pragma: no cover - compile already gated this
raise TemplateValidationError(_clean_jinja_error(exc)) from exc
if next(tree.find_all(nodes.Pow), None) is not None:
raise TemplateValidationError("the '**' (power) operator is not allowed")
if next(tree.find_all((nodes.Filter, nodes.Test)), None) is not None:
raise TemplateValidationError("filters and tests are not allowed")
# Collection literals have no use in a numeric expression and enable a
# memory-bomb via repetition ([0] * 10**8 allocates gigabytes). The only
# collection access we need is raw[...] subscript, which is a Getitem, not a
# literal. Forbid list/tuple/dict literals outright.
if next(tree.find_all((nodes.List, nodes.Tuple, nodes.Dict)), None) is not None:
raise TemplateValidationError("list/tuple/dict literals are not allowed")
# Attribute access (``a.b``) has no use in numeric expressions and is the
# classic sandbox-escape vector (``__class__``, ``.format`` …). Raw values
# are read by subscript (``raw['x']``), which stays allowed.
if next(tree.find_all(nodes.Getattr), None) is not None:
raise TemplateValidationError("attribute access ('.') is not allowed")
# Only the five vetted globals may be called — blocks dict()/namespace()/
# cycler()/etc. at validate time with a clear message (they would also fail
# at runtime since the environment globals are cleared, but failing early is
# better UX and defense in depth).
for call in tree.find_all(nodes.Call):
fn = call.node
if not (isinstance(fn, nodes.Name) and fn.name in GLOBALS):
name = getattr(fn, "name", None) or fn.__class__.__name__
raise TemplateValidationError(
f"only min/max/abs/round/clamp may be called (got {name!r})"
)
# float * float is fine; reject only string/list repetition (the OOM path).
for mul in tree.find_all(nodes.Mul):
for side in (mul.left, mul.right):
if isinstance(side, nodes.Const) and isinstance(side.value, (str, list, tuple)):
raise TemplateValidationError("string/list repetition is not allowed")
def compile_template(template: str):
"""Compile ``template`` to a reusable Jinja ``Expression``.
Raises :class:`TemplateValidationError` if empty, uncompilable, or it uses a
disallowed/cost-bomb construct. Globals (min/max/abs/round/clamp) resolve
from ``SANDBOX_ENV.globals`` at call time, so the returned expression is
invoked with only the data context: ``expr(**ctx)``.
"""
if not template or not template.strip():
raise TemplateValidationError("expression is empty")
try:
expr = SANDBOX_ENV.compile_expression(template)
except TemplateError as exc:
raise TemplateValidationError(_clean_jinja_error(exc)) from exc
_guard_ast(template)
return expr
def validate_template_expression(template: str) -> None:
"""Validate ``template`` (compile + guard); raise on any problem."""
compile_template(template)
def validate_input_name(name: str) -> None:
"""Validate a single template input variable name; raise on any problem."""
if not name or not _IDENT_RE.match(name):
raise TemplateValidationError(f"input name {name!r} is not a valid identifier")
if name in RESERVED_NAMES:
raise TemplateValidationError(f"input name {name!r} is reserved")
def extract_variables(template: str) -> list[str]:
"""Return the free input variables referenced by ``template``.
Excludes the globals and ``raw`` so the validate endpoint reports only the
names the author is expected to bind. Returns ``[]`` if unparsable.
"""
from jinja2 import meta
try:
tree = SANDBOX_ENV.parse("{{ (" + template + ") }}")
except TemplateError:
return []
undeclared = meta.find_undeclared_variables(tree)
return sorted(undeclared - set(GLOBALS) - {"raw"})
def finalize_result(value: Any, default: float, lo: float = 0.0, hi: float = 1.0) -> float:
"""Coerce an evaluated result to a safe float in ``[lo, hi]``.
Non-numeric ``default``; NaN/inf ``default`` (they are valid floats, so
clamping alone would silently keep them); otherwise clamp.
"""
try:
f = float(value)
except (TypeError, ValueError, OverflowError):
# OverflowError: float() of a multi-hundred-digit int (e.g. a chained
# big-int multiply). Treated as "not a usable number" → default.
return default
if math.isnan(f) or math.isinf(f):
return default
return clamp(f, lo, hi)
@@ -0,0 +1,182 @@
"""Tests for template value source API: CRUD, validate-template, delete-protection."""
from unittest.mock import MagicMock
import pytest
from fastapi import FastAPI
from fastapi.testclient import TestClient
from ledgrab.api import dependencies as deps
from ledgrab.api.routes.value_sources import router
from ledgrab.storage.value_source_store import ValueSourceStore
@pytest.fixture
def _route_db(tmp_path):
from ledgrab.storage.database import Database
db = Database(tmp_path / "test.db")
yield db
db.close()
@pytest.fixture
def store(_route_db):
return ValueSourceStore(_route_db)
@pytest.fixture
def client(store):
app = FastAPI()
app.include_router(router)
from ledgrab.api.auth import verify_api_key
app.dependency_overrides[verify_api_key] = lambda: "test-user"
app.dependency_overrides[deps.get_value_source_store] = lambda: store
app.dependency_overrides[deps.get_processor_manager] = lambda: MagicMock()
app.dependency_overrides[deps.get_output_target_store] = lambda: MagicMock(
get_all_targets=lambda: []
)
deps._deps["processor_manager"] = MagicMock()
return TestClient(app, raise_server_exceptions=False)
def _create(client, **over):
body = {
"source_type": "template",
"name": "Combo",
"template": "min(a * 2, 1)",
"inputs": [{"name": "a", "value_source_id": ""}],
"default_value": 0.2,
}
body.update(over)
return client.post("/api/v1/value-sources", json=body)
class TestCRUD:
def test_create_get_list_roundtrip(self, client):
r = _create(client)
assert r.status_code == 201, r.text
body = r.json()
assert body["source_type"] == "template"
assert body["return_type"] == "float"
assert body["template"] == "min(a * 2, 1)"
assert body["inputs"] == [{"name": "a", "value_source_id": ""}]
assert body["default_value"] == 0.2
sid = body["id"]
got = client.get(f"/api/v1/value-sources/{sid}").json()
assert got["template"] == "min(a * 2, 1)"
lst = client.get("/api/v1/value-sources").json()
assert any(s["id"] == sid and s["source_type"] == "template" for s in lst["sources"])
def test_update(self, client):
sid = _create(client).json()["id"]
r = client.put(
f"/api/v1/value-sources/{sid}",
json={"source_type": "template", "template": "clamp(a * 3)"},
)
assert r.status_code == 200, r.text
assert r.json()["template"] == "clamp(a * 3)"
def test_create_compile_error_returns_400(self, client):
r = _create(client, template="a +")
assert r.status_code == 400
def test_create_reserved_name_returns_400(self, client):
r = _create(client, inputs=[{"name": "min", "value_source_id": ""}])
assert r.status_code == 400
class TestDeleteProtection:
def test_delete_blocked_when_referenced(self, client):
base = client.post(
"/api/v1/value-sources",
json={"source_type": "static", "name": "Base", "value": 0.5},
).json()
_create(
client,
name="Uses",
template="b",
inputs=[{"name": "b", "value_source_id": base["id"]}],
)
r = client.delete(f"/api/v1/value-sources/{base['id']}")
assert r.status_code == 400
assert "referenced by" in r.json()["detail"]
class TestValidateEndpoint:
def _validate(self, client, **body):
return client.post("/api/v1/value-sources/validate-template", json=body)
def test_valid_expression(self, client):
r = self._validate(
client,
template="min(a, b)",
inputs=[{"name": "a", "value_source_id": ""}, {"name": "b", "value_source_id": ""}],
)
assert r.status_code == 200
data = r.json()
assert data["valid"] is True
assert set(data["variables"]) == {"a", "b"}
def test_compile_error(self, client):
r = self._validate(client, template="a +", inputs=[])
data = r.json()
assert data["valid"] is False
assert data["error"]
def test_reserved_name(self, client):
r = self._validate(
client, template="min(0,1)", inputs=[{"name": "raw", "value_source_id": ""}]
)
assert r.json()["valid"] is False
def test_missing_input_is_warning_not_error(self, client):
r = self._validate(
client, template="a", inputs=[{"name": "a", "value_source_id": "vs_nope"}]
)
data = r.json()
assert data["valid"] is True
assert data["warnings"]
def test_unbound_variable_is_error(self, client):
# Typo: expression uses 'ha_enti' but the input is named 'ha_entity'.
r = self._validate(
client, template="ha_enti", inputs=[{"name": "ha_entity", "value_source_id": ""}]
)
data = r.json()
assert data["valid"] is False
assert any("unbound" in e for e in data["errors"])
def test_cycle_detected_with_id(self, client):
t1 = _create(client, name="T1", template="clamp(0.5)", inputs=[]).json()
t2 = _create(
client,
name="T2",
template="x",
inputs=[{"name": "x", "value_source_id": t1["id"]}],
).json()
# Editing t1 to point at t2 would close a cycle.
r = self._validate(
client, template="x", inputs=[{"name": "x", "value_source_id": t2["id"]}], id=t1["id"]
)
assert r.json()["valid"] is False
class TestResponseMapCoverage:
def test_template_in_response_map(self):
from ledgrab.api.routes.value_sources import _RESPONSE_MAP
from ledgrab.storage.value_source import TemplateValueSource
assert TemplateValueSource in _RESPONSE_MAP
def test_template_in_all_unions(self):
from ledgrab.api.schemas import value_sources as sch
for union_name in ("ValueSourceResponse", "ValueSourceCreate", "ValueSourceUpdate"):
src = repr(getattr(sch, union_name))
assert "template" in src.lower() or "Template" in src
+171
View File
@@ -0,0 +1,171 @@
"""Integration tests for server-side subgraph duplication.
Exercises ``_duplicate_subgraph`` against the *real* value-source and
colour-strip stores (temp DB), asserting that references *within* the selection
are remapped to the clones while references to entities *outside* the selection
stay shared with the originals and that the deep-copy clone preserves config.
"""
import pytest
from ledgrab.api import dependencies as deps
from ledgrab.api.graph_schema import serialize_entity
from ledgrab.api.routes.graph import _duplicate_subgraph
from ledgrab.storage.color_strip_store import ColorStripStore
from ledgrab.storage.database import Database
from ledgrab.storage.value_source_store import ValueSourceStore
@pytest.fixture
def stores(tmp_path, monkeypatch):
db = Database(tmp_path / "dup.db")
css = ColorStripStore(db)
vss = ValueSourceStore(db)
monkeypatch.setattr(deps, "_deps", {"color_strip_store": css, "value_source_store": vss})
yield css, vss
db.close()
def _layer(sid: str) -> dict:
return {"source_id": sid, "blend_mode": "normal", "opacity": 1.0, "enabled": True}
def test_duplicate_composite_remaps_only_in_selection_refs(stores):
css, _vss = stores
b = css.create_source(name="B", source_type="single_color", colors=[[255, 0, 0]])
d = css.create_source(name="D", source_type="single_color", colors=[[0, 255, 0]])
a = css.create_source(name="A", source_type="composite", layers=[_layer(b.id), _layer(d.id)])
res = _duplicate_subgraph([a.id, b.id], " (copy)")
assert set(res["id_map"]) == {a.id, b.id}
assert res["skipped"] == []
assert res["warnings"] == []
a_new = serialize_entity(css.get(res["id_map"][a.id]))
layer_ids = [ly["source_id"] for ly in a_new["layers"]]
# B was in the selection -> remapped to the clone; D was not -> stays shared.
assert layer_ids == [res["id_map"][b.id], d.id]
assert a_new["name"] == "A (copy)"
# Original is untouched.
assert [ly["source_id"] for ly in serialize_entity(css.get(a.id))["layers"]] == [b.id, d.id]
def test_duplicate_preserves_clone_config(stores):
"""The deep-copy clone keeps every field except identity/name/timestamps —
guarding against the storage-vs-create-schema name mismatch (e.g. single
color's ``colors``) that a create-schema round-trip would silently drop."""
css, _vss = stores
src = css.create_source(name="Solid", source_type="single_color", colors=[[12, 34, 56]])
res = _duplicate_subgraph([src.id], " (copy)")
orig = serialize_entity(css.get(src.id))
clone = serialize_entity(css.get(res["id_map"][src.id]))
ignore = {"id", "name", "created_at", "updated_at"}
assert {k: v for k, v in clone.items() if k not in ignore} == {
k: v for k, v in orig.items() if k not in ignore
}
def test_duplicate_partial_selection_keeps_layer_refs_shared(stores):
css, _vss = stores
b = css.create_source(name="B", source_type="single_color", colors=[[255, 0, 0]])
a = css.create_source(name="A", source_type="composite", layers=[_layer(b.id)])
res = _duplicate_subgraph([a.id], " (copy)") # only the composite, not its layer
a_new = serialize_entity(css.get(res["id_map"][a.id]))
assert [ly["source_id"] for ly in a_new["layers"]] == [b.id] # shared with original
def test_duplicate_remaps_bindable_slot_to_cloned_value_source(stores):
"""Pass-2's dict round-trip path: a colour-strip bindable slot bound to a
value source that is *also* in the selection must point at the value clone
(not the original) after duplication."""
css, vss = stores
vs = vss.create_source(name="Pulse", source_type="static", value=0.5)
c = css.create_source(name="Candle", source_type="candlelight")
css.update_source(c.id, intensity={"source_id": vs.id}) # bind intensity -> vs
assert serialize_entity(css.get(c.id))["intensity"]["source_id"] == vs.id # binding took
res = _duplicate_subgraph([c.id, vs.id], " (copy)")
assert res["warnings"] == []
c_new = serialize_entity(css.get(res["id_map"][c.id]))
assert c_new["intensity"]["source_id"] == res["id_map"][vs.id]
def test_duplicate_remaps_layer_brightness_source(stores):
"""A composite layer's value-source brightness binding (list + value ref) is
remapped when that value source is also in the selection."""
css, vss = stores
vs = vss.create_source(name="Dim", source_type="static", value=0.3)
leaf = css.create_source(name="Leaf", source_type="single_color", colors=[[9, 9, 9]])
comp = css.create_source(
name="Comp",
source_type="composite",
layers=[{**_layer(leaf.id), "brightness_source_id": vs.id}],
)
res = _duplicate_subgraph([comp.id, leaf.id, vs.id], " (copy)")
layer = serialize_entity(css.get(res["id_map"][comp.id]))["layers"][0]
assert layer["source_id"] == res["id_map"][leaf.id]
assert layer["brightness_source_id"] == res["id_map"][vs.id]
def test_duplicate_safety_net_flags_unremapped_ref(stores, monkeypatch):
"""If a reference somehow isn't remapped, the post-clone safety net reports
it in `warnings` rather than silently leaving two pipelines sharing a node."""
css, _vss = stores
b = css.create_source(name="B", source_type="single_color", colors=[[1, 2, 3]])
a = css.create_source(name="A", source_type="composite", layers=[_layer(b.id)])
# Force remap to a no-op so the clone keeps pointing at the original in-set id.
monkeypatch.setattr("ledgrab.api.routes.graph.remap_refs", lambda *a, **k: 0)
res = _duplicate_subgraph([a.id, b.id], " (copy)")
assert any(w["id"] == res["id_map"][a.id] for w in res["warnings"])
def test_duplicate_value_source(stores):
_css, vss = stores
v = vss.create_source(name="V", source_type="static", value=0.5)
res = _duplicate_subgraph([v.id], " (copy)")
assert list(res["id_map"]) == [v.id]
new = vss.get(res["id_map"][v.id])
assert new.id != v.id
assert new.name == "V (copy)"
assert getattr(new, "value", None) == 0.5
def test_duplicate_skips_non_duplicable_ids(stores):
_css, vss = stores
v = vss.create_source(name="V", source_type="static", value=0.5)
res = _duplicate_subgraph([v.id, "dev_external", "bogus"], " (copy)")
assert list(res["id_map"]) == [v.id]
assert {s["id"] for s in res["skipped"]} == {"dev_external", "bogus"}
def test_duplicate_name_collision_is_suffixed(stores):
_css, vss = stores
v = vss.create_source(name="V", source_type="static", value=0.5)
vss.create_source(name="V (copy)", source_type="static", value=0.1) # occupy the obvious name
res = _duplicate_subgraph([v.id], " (copy)")
new = vss.get(res["id_map"][v.id])
assert new.name == "V (copy) 2"
def test_clone_allowlist_invariant():
"""Only explicitly-flagged (secret-free) stores are cloneable; the base
default is off so a new store is never cloneable by accident."""
from ledgrab.storage.base_sqlite_store import BaseSqliteStore
assert BaseSqliteStore._cloneable is False
assert ColorStripStore._cloneable is True
assert ValueSourceStore._cloneable is True
def test_clone_refuses_non_cloneable_store(stores, monkeypatch):
"""clone() refuses stores not on the allowlist (defence-in-depth even though
the duplicate endpoint already restricts to the safe kinds)."""
css, _vss = stores
src = css.create_source(name="X", source_type="single_color", colors=[[1, 1, 1]])
monkeypatch.setattr(type(css), "_cloneable", False)
with pytest.raises(NotImplementedError):
css.clone(src.id, "X (copy)")
+131 -1
View File
@@ -4,6 +4,10 @@ These exercise reference extraction, topology building, dependents, cycle and
dangling-reference detection without booting the app or any store.
"""
import json
import re
from dataclasses import dataclass, field
from ledgrab.api.graph_schema import (
CONNECTION_SCHEMA,
ENTITY_KINDS,
@@ -11,7 +15,11 @@ from ledgrab.api.graph_schema import (
detect_cycles,
extract_refs,
find_dependents,
graph_field_roots,
is_editable,
remap_refs,
schema_for_kind,
serialize_entity_for_graph,
validate_connection,
would_create_cycle,
)
@@ -60,6 +68,56 @@ def test_extract_refs_nested_object_none_is_safe():
) == ["pt_1"]
# ── remap_refs (write-twin of extract_refs) ──────────────────────────────────
def test_remap_refs_top_level():
e = {"device_id": "a"}
assert remap_refs(e, "device_id", {"a": "b"}) == 1
assert e["device_id"] == "b"
def test_remap_refs_leaves_unmapped_ids_untouched():
e = {"device_id": "external"}
assert remap_refs(e, "device_id", {"a": "b"}) == 0
assert e["device_id"] == "external" # shared dependency outside the set
def test_remap_refs_bindable_bound():
e = {"brightness": {"value": 1.0, "source_id": "a"}}
assert remap_refs(e, "brightness.source_id", {"a": "b"}) == 1
assert e["brightness"] == {"value": 1.0, "source_id": "b"}
def test_remap_refs_unbound_bindable_is_safe():
e = {"brightness": 0.5} # plain number, no binding
assert remap_refs(e, "brightness.source_id", {"a": "b"}) == 0
assert e["brightness"] == 0.5
def test_remap_refs_list_field_only_mapped_elements():
e = {"layers": [{"source_id": "a"}, {"source_id": "external"}, {"source_id": "c"}]}
assert remap_refs(e, "layers[].source_id", {"a": "b", "c": "d"}) == 2
assert [layer["source_id"] for layer in e["layers"]] == ["b", "external", "d"]
def test_remap_refs_deep_object_then_list():
e = {"calibration": {"lines": [{"picture_source_id": "p1"}, {"picture_source_id": "p2"}]}}
assert remap_refs(e, "calibration.lines[].picture_source_id", {"p1": "q1"}) == 1
assert [ln["picture_source_id"] for ln in e["calibration"]["lines"]] == ["q1", "p2"]
def test_remap_refs_missing_keys_are_safe():
assert remap_refs({}, "layers[].source_id", {"a": "b"}) == 0
assert remap_refs({"layers": None}, "layers[].source_id", {"a": "b"}) == 0
def test_remap_refs_round_trips_with_extract_refs():
e = {"layers": [{"source_id": "a"}, {"source_id": "a"}]}
remap_refs(e, "layers[].source_id", {"a": "b"})
assert extract_refs(e, "layers[].source_id") == ["b", "b"]
# ── registry consistency ─────────────────────────────────────────────────────
@@ -249,7 +307,79 @@ def test_validate_connection_rejects_list_field():
entities, "color_strip_source", "css_1", "layers[].source_id", "css_2"
)
assert ok is False
assert "List connection" in err
assert "not editable" in err
def test_validate_connection_rejects_color_bindable():
# Colour bindings are structurally bindable but not graph-editable (a value
# source can't drive a colour).
entities = {
"color_strip_source": [
{"id": "css_1", "name": "X", "source_type": "single_color", "color": [255, 0, 0]}
],
"value_source": [{"id": "vs_1", "name": "V", "source_type": "static"}],
}
ok, err = validate_connection(
entities, "color_strip_source", "css_1", "color.source_id", "vs_1"
)
assert ok is False
assert "not editable" in err
@dataclass
class _FakeRule:
token: str = "SUPER_SECRET_WEBHOOK_TOKEN"
@dataclass
class _FakeAutomation:
id: str = "auto_1"
name: str = "A"
enabled: bool = True
scene_preset_id: str = "sp_1"
rules: list = field(default_factory=lambda: [_FakeRule()])
# Keys that must NEVER appear in the /graph projection allowlist.
_SECRET_KEY_RE = re.compile(
r"token|password|secret|credential|api[_-]?key|_key$|username|\burl\b|\bhost\b", re.I
)
def test_projection_roots_never_expose_secrets():
# The /graph projection (graph_field_roots) is the leak boundary. Assert no
# kind's allowlist contains a secret-bearing key — locks the boundary against
# future schema drift (a new reference field whose root looks like a secret).
for kind in ENTITY_KINDS:
for root in graph_field_roots(kind):
assert not _SECRET_KEY_RE.search(
root
), f"{kind}: projected root {root!r} looks secret-bearing"
def test_serialize_entity_for_graph_drops_secrets():
# The graph projection must strip everything except id/name/type + reference
# roots — a deep asdict would otherwise leak the webhook token (a real,
# auth-equivalent secret) in the /graph response.
projected = serialize_entity_for_graph("automation", _FakeAutomation())
assert projected["id"] == "auto_1"
assert projected["name"] == "A"
assert projected["scene_preset_id"] == "sp_1" # reference root kept
assert "rules" not in projected # non-reference field dropped
assert "enabled" not in projected
assert "SUPER_SECRET_WEBHOOK_TOKEN" not in json.dumps(projected)
def test_is_editable_classifies_fields():
by_field = {(c.target_kind, c.field): c for c in CONNECTION_SCHEMA}
# Top-level reference and single-level BindableFloat → editable.
assert is_editable(by_field[("output_target", "device_id")])
assert is_editable(by_field[("color_strip_source", "brightness.source_id")])
assert is_editable(by_field[("output_target", "transition.source_id")])
# Colour binding, list slot, and double-nested → NOT editable.
assert not is_editable(by_field[("color_strip_source", "color.source_id")])
assert not is_editable(by_field[("color_strip_source", "layers[].source_id")])
assert not is_editable(by_field[("output_target", "settings.brightness.source_id")])
def test_validate_connection_rejects_cycle():
@@ -0,0 +1,159 @@
"""Contract tests for graph drag-to-wire writes.
The graph editor's ``updateConnection()`` performs a *partial* PUT for a single
dragged edge: it sends only the reference (or bindable) field being wired. Five
entity kinds have ``Body(discriminator=...)`` PUT routes, so such a partial body
is rejected with a 422 unless it also echoes the entity's subtype
(``source_type`` / ``stream_type`` / ``target_type``). ``updateConnection()`` now
reads the target's subtype back and includes it.
These tests lock in that contract from the backend side: each ``(kind, field)``
pair the frontend ``CONNECTION_MAP`` drag-edits must validate as a minimal
``{discriminator, field}`` body and must be rejected without the discriminator
(the exact failure that silently broke wiring). If a future schema change makes
one of these fields required-with-siblings, or drops a subtype, these tests fail
and flag that graph wiring will break.
"""
import pytest
from pydantic import TypeAdapter, ValidationError
from ledgrab.api.schemas.audio_sources import AudioSourceUpdate
from ledgrab.api.schemas.color_strip_sources import ColorStripSourceUpdate
from ledgrab.api.schemas.output_targets import OutputTargetUpdate
from ledgrab.api.schemas.picture_sources import PictureSourceUpdate
from ledgrab.api.schemas.value_sources import ValueSourceUpdate
# Each row mirrors one drag-editable (target_kind, field) pair from the frontend
# CONNECTION_MAP, paired with a real subtype tag that owns that field and the
# body shape updateConnection() sends: a flat ref id, or a bindable
# ``{parent: {source_id}}`` slot (here keyed by the parent field root).
# (kind, update_union, discriminator_field, subtype_tag, body_field, sample_value)
_WIRING_WRITES = [
("value_source", ValueSourceUpdate, "source_type", "audio", "audio_source_id", "as_1"),
(
"value_source",
ValueSourceUpdate,
"source_type",
"adaptive_scene",
"picture_source_id",
"ps_1",
),
("value_source", ValueSourceUpdate, "source_type", "gradient_map", "value_source_id", "vs_1"),
(
"value_source",
ValueSourceUpdate,
"source_type",
"css_extract",
"color_strip_source_id",
"css_1",
),
(
"color_strip_source",
ColorStripSourceUpdate,
"source_type",
"picture",
"picture_source_id",
"ps_1",
),
(
"color_strip_source",
ColorStripSourceUpdate,
"source_type",
"audio",
"audio_source_id",
"as_1",
),
(
"color_strip_source",
ColorStripSourceUpdate,
"source_type",
"processed",
"input_source_id",
"css_2",
),
(
"color_strip_source",
ColorStripSourceUpdate,
"source_type",
"processed",
"processing_template_id",
"cspt_1",
),
# bindable BindableFloat slot — body is {<parent>: {source_id}}
(
"color_strip_source",
ColorStripSourceUpdate,
"source_type",
"audio",
"smoothing",
{"source_id": "vs_1"},
),
("audio_source", AudioSourceUpdate, "source_type", "capture", "audio_template_id", "at_1"),
("audio_source", AudioSourceUpdate, "source_type", "processed", "audio_source_id", "as_2"),
("picture_source", PictureSourceUpdate, "stream_type", "raw", "capture_template_id", "ct_1"),
("picture_source", PictureSourceUpdate, "stream_type", "processed", "source_stream_id", "ps_2"),
(
"picture_source",
PictureSourceUpdate,
"stream_type",
"processed",
"postprocessing_template_id",
"ppt_1",
),
("output_target", OutputTargetUpdate, "target_type", "led", "device_id", "dev_1"),
("output_target", OutputTargetUpdate, "target_type", "led", "color_strip_source_id", "css_1"),
# bindable slots on output targets
(
"output_target",
OutputTargetUpdate,
"target_type",
"led",
"brightness",
{"source_id": "vs_1"},
),
(
"output_target",
OutputTargetUpdate,
"target_type",
"ha_light",
"transition",
{"source_id": "vs_1"},
),
]
_IDS = [f"{kind}.{field}[{tag}]" for kind, _u, _d, tag, field, _v in _WIRING_WRITES]
@pytest.mark.parametrize("kind,union,disc,tag,field,value", _WIRING_WRITES, ids=_IDS)
def test_partial_wiring_put_validates_with_discriminator(kind, union, disc, tag, field, value):
"""A single dragged wiring edit validates when the subtype is echoed.
This is exactly what updateConnection() now sends; if it fails, drag-to-wire
for ``kind.field`` is broken.
"""
model = TypeAdapter(union).validate_python({disc: tag, field: value})
assert getattr(model, disc) == tag
@pytest.mark.parametrize("kind,union,disc,tag,field,value", _WIRING_WRITES, ids=_IDS)
def test_partial_wiring_put_rejected_without_discriminator(kind, union, disc, tag, field, value):
"""Without the discriminator the same body is rejected.
This is the 422 that silently broke drag-to-wire before updateConnection()
echoed the subtype guarding against anyone "simplifying" that away.
"""
with pytest.raises(ValidationError):
TypeAdapter(union).validate_python({field: value})
@pytest.mark.parametrize("kind,union,disc,tag,field,value", _WIRING_WRITES, ids=_IDS)
def test_partial_wiring_detach_validates_with_discriminator(kind, union, disc, tag, field, value):
"""Detach (clearing a slot) goes through the same partial-PUT path and must
also validate with the subtype echoed: ``{field: ""}`` for a flat reference,
``{parent: {source_id: ""}}`` for a bindable slot exactly what
``detachConnection()`` -> ``updateConnection(..., "")`` sends.
"""
cleared = {"source_id": ""} if isinstance(value, dict) else ""
model = TypeAdapter(union).validate_python({disc: tag, field: cleared})
assert getattr(model, disc) == tag
@@ -0,0 +1,231 @@
"""Tests for TemplateValueStream (the Jinja combinator runtime)."""
from collections import defaultdict
from datetime import datetime, timezone
import pytest
from ledgrab.core.processing.value_stream import (
TemplateValueStream,
ValueStreamManager,
)
from ledgrab.storage.value_source import TemplateValueSource
# --- Fakes for precise control over input values / raw -----------------------
class _FakeStream:
_NO_RAW = object()
def __init__(self, value, raw=_NO_RAW):
self._value = value
self._raw = raw
def get_value(self):
return self._value
# get_raw_value only exists when a raw value was provided
def __getattr__(self, name):
if name == "get_raw_value" and self._raw is not _FakeStream._NO_RAW:
return lambda: self._raw
raise AttributeError(name)
class _FakeVSM:
def __init__(self, streams):
self._streams = streams # id -> _FakeStream
self.refcounts = defaultdict(int)
def acquire(self, vs_id):
self.refcounts[vs_id] += 1
return self._streams[vs_id]
def release(self, vs_id):
self.refcounts[vs_id] -= 1
def _inputs(*pairs):
return [{"name": n, "value_source_id": i} for n, i in pairs]
def _make(template, inputs, streams, default_value=0.0, eval_interval=None):
vsm = _FakeVSM(streams)
stream = TemplateValueStream(
template=template,
inputs=inputs,
default_value=default_value,
eval_interval=eval_interval,
value_stream_manager=vsm,
)
stream.start()
return stream, vsm
class TestEvaluation:
def test_eval_with_inputs(self):
stream, vsm = _make("min(a * 2, 1)", _inputs(("a", "vs_a")), {"vs_a": _FakeStream(0.3)})
assert vsm.refcounts["vs_a"] == 1
assert stream.get_value() == pytest.approx(0.6)
def test_clamps_out_of_range(self):
stream, _ = _make("a * 10", _inputs(("a", "vs_a")), {"vs_a": _FakeStream(0.5)})
assert stream.get_value() == 1.0 # 5.0 clamped
def test_two_inputs(self):
stream, _ = _make(
"(a + b) / 2",
_inputs(("a", "vs_a"), ("b", "vs_b")),
{"vs_a": _FakeStream(0.2), "vs_b": _FakeStream(0.8)},
)
assert stream.get_value() == pytest.approx(0.5)
def test_shared_id_single_ref(self):
# Two variables bound to the same source share one acquisition.
stream, vsm = _make(
"min(a + b, 1)",
_inputs(("a", "vs_x"), ("b", "vs_x")),
{"vs_x": _FakeStream(0.3)},
)
assert vsm.refcounts["vs_x"] == 1
assert stream.get_value() == pytest.approx(0.6)
class TestErrorHandling:
def test_div_by_zero_returns_default(self):
stream, _ = _make(
"a / 0", _inputs(("a", "vs_a")), {"vs_a": _FakeStream(0.5)}, default_value=0.25
)
assert stream.get_value() == 0.25
def test_missing_variable_returns_default(self):
# template references 'b' but only 'a' is bound
stream, _ = _make(
"a + b", _inputs(("a", "vs_a")), {"vs_a": _FakeStream(0.5)}, default_value=0.1
)
assert stream.get_value() == 0.1
def test_nan_returns_default(self):
stream, _ = _make(
"a - a", _inputs(("a", "vs_a")), {"vs_a": _FakeStream(float("inf"))}, default_value=0.3
)
# inf - inf = nan -> default
assert stream.get_value() == 0.3
def test_invalid_template_uses_default(self):
stream, _ = _make(
"a +", _inputs(("a", "vs_a")), {"vs_a": _FakeStream(0.5)}, default_value=0.42
)
assert stream.get_value() == 0.42
class TestRawExposure:
def test_raw_present_when_stream_exposes_it(self):
stream, _ = _make(
"raw['t'] / 100",
_inputs(("t", "vs_t")),
{"vs_t": _FakeStream(0.5, raw=42.0)},
)
assert stream.get_value() == pytest.approx(0.42)
def test_raw_absent_without_getter(self):
# input stream has no get_raw_value -> raw['t'] -> None -> error -> default
stream, _ = _make(
"raw['t'] / 100",
_inputs(("t", "vs_t")),
{"vs_t": _FakeStream(0.5)},
default_value=0.2,
)
assert stream.get_value() == 0.2
def test_non_numeric_raw_is_dropped(self):
# raw value is a string -> never crosses into sandbox -> raw['t'] absent
stream, _ = _make(
"raw['t'] / 100",
_inputs(("t", "vs_t")),
{"vs_t": _FakeStream(0.5, raw="playing")},
default_value=0.15,
)
assert stream.get_value() == 0.15
class TestLifecycle:
def test_stop_releases_all(self):
stream, vsm = _make(
"min(a + b, 1)",
_inputs(("a", "vs_a"), ("b", "vs_b")),
{"vs_a": _FakeStream(0.1), "vs_b": _FakeStream(0.2)},
)
stream.stop()
assert vsm.refcounts["vs_a"] == 0
assert vsm.refcounts["vs_b"] == 0
def test_eval_interval_caches(self):
backing = _FakeStream(0.2)
stream, _ = _make("a", _inputs(("a", "vs_a")), {"vs_a": backing}, eval_interval=3600.0)
first = stream.get_value()
backing._value = 0.9 # change the live input
# Cached within the interval -> still the first value.
assert stream.get_value() == pytest.approx(first)
class TestHotUpdate:
def test_swap_input_releases_old_acquires_new(self):
stream, vsm = _make(
"a", _inputs(("a", "vs_a")), {"vs_a": _FakeStream(0.1), "vs_b": _FakeStream(0.9)}
)
assert vsm.refcounts["vs_a"] == 1
new_src = TemplateValueSource(
id="t1",
name="t",
source_type="template",
created_at=datetime.now(timezone.utc),
updated_at=datetime.now(timezone.utc),
template="a",
inputs=_inputs(("a", "vs_b")),
default_value=0.0,
)
stream.update_source(new_src)
assert vsm.refcounts["vs_a"] == 0 # old released
assert vsm.refcounts["vs_b"] == 1 # new acquired
assert stream.get_value() == pytest.approx(0.9)
def test_rename_keeps_same_source(self):
stream, vsm = _make("a", _inputs(("a", "vs_a")), {"vs_a": _FakeStream(0.7)})
renamed = TemplateValueSource(
id="t1",
name="t",
source_type="template",
created_at=datetime.now(timezone.utc),
updated_at=datetime.now(timezone.utc),
template="b", # variable renamed a -> b, same source id
inputs=_inputs(("b", "vs_a")),
default_value=0.0,
)
stream.update_source(renamed)
assert vsm.refcounts["vs_a"] == 1 # not re-acquired (unchanged id)
assert stream.get_value() == pytest.approx(0.7)
class TestAcquireDepthBackstop:
def test_self_reference_does_not_overflow(self):
"""A cycle that bypassed storage validation must not stack-overflow."""
now = datetime.now(timezone.utc)
src = TemplateValueSource(
id="vs_cycle",
name="cycle",
source_type="template",
created_at=now,
updated_at=now,
template="x",
inputs=_inputs(("x", "vs_cycle")),
default_value=0.0,
)
class _CycleStore:
def get_source(self, vs_id):
return src
manager = ValueStreamManager(value_source_store=_CycleStore())
stream = manager.acquire("vs_cycle") # must terminate, not recurse forever
assert isinstance(stream.get_value(), float)
@@ -0,0 +1,380 @@
"""Tests for the optional-normalization feature on magnitude value sources.
Covers, for HA / HTTP / system_metrics / game_event:
* the ``normalize`` flag round-trips through to_dict/from_dict and defaults to
True for old rows that predate the field,
* ``normalize=False`` makes get_value() a finite-safe clamp passthrough while
get_value() stays in [0, 1] (the normalized scalar-bus contract), and
* the raw magnitude remains available via get_raw_value() (added to
game_event, which had no raw channel before).
Plus a unit test for the shared finite-safe ``clamp01`` helper.
"""
import math
import pytest
from ledgrab.core.game_integration.event_bus import GameEventBus
from ledgrab.core.game_integration.events import GameEvent
from ledgrab.core.processing.value_kinds import ValueStreamDeps, build_stream
from ledgrab.core.processing.value_stream import (
HAEntityValueStream,
HTTPValueStream,
SystemMetricsValueStream,
)
from ledgrab.core.value_sources.game_event_value_source import GameEventValueStream
from ledgrab.storage.value_source import ValueSource
from ledgrab.utils import clamp01
# ---------------------------------------------------------------------------
# clamp01 finite-safe helper
# ---------------------------------------------------------------------------
class TestClamp01:
def test_in_range_passthrough(self):
assert clamp01(0.0) == 0.0
assert clamp01(0.42) == pytest.approx(0.42)
assert clamp01(1.0) == 1.0
def test_out_of_range_clamped(self):
assert clamp01(-2.5) == 0.0
assert clamp01(5.0) == 1.0
def test_non_finite_rejected_to_default(self):
assert clamp01(float("nan")) == 0.0
assert clamp01(float("inf")) == 0.0
assert clamp01(float("-inf")) == 0.0
# custom default is honoured
assert clamp01(float("nan"), default=0.5) == 0.5
# ---------------------------------------------------------------------------
# Round-trip persistence of the normalize flag
# ---------------------------------------------------------------------------
def _base(source_type: str, **extra) -> dict:
return {
"id": f"vs_{source_type}",
"name": source_type,
"source_type": source_type,
"created_at": "2025-01-01T00:00:00+00:00",
"updated_at": "2025-01-01T00:00:00+00:00",
**extra,
}
class TestNormalizeRoundTrip:
@pytest.mark.parametrize(
"source_type,extra",
[
("ha_entity", {"ha_source_id": "ha1", "entity_id": "sensor.temp"}),
("http", {"http_endpoint_id": "ep1"}),
("system_metrics", {"metric": "cpu_load"}),
("game_event", {}),
],
)
def test_normalize_false_round_trips(self, source_type, extra):
src = ValueSource.from_dict(_base(source_type, normalize=False, **extra))
assert src.normalize is False
assert src.to_dict()["normalize"] is False
restored = ValueSource.from_dict(src.to_dict())
assert restored.normalize is False
@pytest.mark.parametrize(
"source_type,extra",
[
("ha_entity", {"ha_source_id": "ha1", "entity_id": "sensor.temp"}),
("http", {"http_endpoint_id": "ep1"}),
("system_metrics", {"metric": "cpu_load"}),
("game_event", {}),
],
)
def test_missing_key_defaults_true(self, source_type, extra):
"""An old row written before the field existed reads back normalize=True."""
src = ValueSource.from_dict(_base(source_type, **extra))
assert src.normalize is True
assert src.to_dict()["normalize"] is True
# ---------------------------------------------------------------------------
# HTTP stream — clamp passthrough + verbatim raw
# ---------------------------------------------------------------------------
def _http(normalize: bool, raw) -> HTTPValueStream:
s = HTTPValueStream(
endpoint_id="ep",
json_path="",
interval_s=60,
min_value=0.0,
max_value=100.0,
smoothing=0.0,
normalize=normalize,
)
s._raw_value = raw # bypass the poll loop; exercise get_value() directly
return s
class TestHttpNormalize:
def test_normalize_true_rescales(self):
assert _http(True, 50.0).get_value() == pytest.approx(0.5)
def test_normalize_false_clamps_in_range(self):
assert _http(False, 0.7).get_value() == pytest.approx(0.7)
def test_normalize_false_clamps_out_of_range(self):
assert _http(False, 5.0).get_value() == 1.0
assert _http(False, -3.0).get_value() == 0.0
def test_normalize_false_non_finite_safe(self):
assert _http(False, float("inf")).get_value() == 0.0
assert _http(False, float("nan")).get_value() == 0.0
def test_non_numeric_raw_keeps_get_value_numeric_and_raw_verbatim(self):
s = _http(False, "playing")
assert s.get_value() == 0.0 # float("playing") fails -> safe fallback
assert s.get_raw_value() == "playing" # verbatim for automations/templates
# ---------------------------------------------------------------------------
# HA stream — clamp passthrough via a minimal fake HA manager
# ---------------------------------------------------------------------------
class _FakeState:
def __init__(self, state, attributes=None):
self.state = state
self.attributes = attributes or {}
class _FakeHA:
def __init__(self, state):
self._state = state
def get_state(self, _source_id, _entity_id):
return self._state
def _ha(normalize: bool, state_value: str) -> HAEntityValueStream:
return HAEntityValueStream(
ha_source_id="ha1",
entity_id="sensor.temp",
attribute="",
min_ha_value=0.0,
max_ha_value=100.0,
smoothing=0.0,
normalize=normalize,
ha_manager=_FakeHA(_FakeState(state_value)),
)
class TestHaNormalize:
def test_normalize_true_rescales(self):
assert _ha(True, "50").get_value() == pytest.approx(0.5)
def test_normalize_false_clamps_and_keeps_raw(self):
s = _ha(False, "21.5") # e.g. °C — out of [0,1]
assert s.get_value() == 1.0 # clamped
assert s.get_raw_value() == pytest.approx(21.5) # un-clamped magnitude
def test_normalize_false_in_range_fraction(self):
s = _ha(False, "0.3")
assert s.get_value() == pytest.approx(0.3)
# ---------------------------------------------------------------------------
# system_metrics stream — clamp passthrough (raw reader monkeypatched)
# ---------------------------------------------------------------------------
class TestSystemMetricsNormalize:
def test_normalize_false_clamps_and_keeps_raw(self):
s = SystemMetricsValueStream(
metric="cpu_load", min_value=0.0, max_value=100.0, normalize=False
)
s._read_metric = lambda: 65.0 # type: ignore[method-assign]
assert s.get_value() == 1.0 # 65 clamped to 1.0
assert s.get_raw_value() == pytest.approx(65.0)
def test_normalize_false_in_range_fraction(self):
s = SystemMetricsValueStream(
metric="cpu_load", min_value=0.0, max_value=100.0, normalize=False
)
s._read_metric = lambda: 0.25 # type: ignore[method-assign]
assert s.get_value() == pytest.approx(0.25)
# ---------------------------------------------------------------------------
# game_event stream — new raw channel + normalize flag
# ---------------------------------------------------------------------------
def _evt(value: float) -> GameEvent:
return GameEvent(adapter_id="t", event_type="health", value=value)
class TestGameEventNormalizeAndRaw:
def test_raw_value_none_before_first_event(self):
bus = GameEventBus()
stream = GameEventValueStream(event_type="health", event_bus=bus)
stream.start()
assert stream.get_raw_value() is None
stream.stop()
def test_raw_value_exposed_after_event(self):
bus = GameEventBus()
stream = GameEventValueStream(
event_type="health", min_game_value=0.0, max_game_value=100.0, event_bus=bus
)
stream.start()
bus.publish(_evt(73.0))
assert stream.get_value() == pytest.approx(0.73) # normalized output
assert stream.get_raw_value() == pytest.approx(73.0) # un-clamped raw
stream.stop()
def test_normalize_false_clamps_output_keeps_raw(self):
bus = GameEventBus()
stream = GameEventValueStream(
event_type="health",
min_game_value=0.0,
max_game_value=100.0,
normalize=False,
event_bus=bus,
)
stream.start()
bus.publish(_evt(50.0)) # 50 is > 1 -> clamped to 1.0 in passthrough mode
assert stream.get_value() == 1.0
assert stream.get_raw_value() == pytest.approx(50.0)
stream.stop()
def test_normalize_false_in_range_fraction(self):
bus = GameEventBus()
stream = GameEventValueStream(event_type="health", normalize=False, event_bus=bus)
stream.start()
bus.publish(_evt(0.4))
assert stream.get_value() == pytest.approx(0.4)
stream.stop()
def test_get_value_always_finite_in_passthrough(self):
bus = GameEventBus()
stream = GameEventValueStream(event_type="health", normalize=False, event_bus=bus)
stream.start()
bus.publish(_evt(math.inf))
assert stream.get_value() == 0.0 # finite-safe clamp
stream.stop()
# ---------------------------------------------------------------------------
# Live update_source() flip of the normalize flag on a running stream
# ---------------------------------------------------------------------------
# The design's load-bearing invariant: flipping normalize live never blends a
# raw magnitude against a fraction in the EMA, because BOTH modes emit [0,1].
# These tests lock that in (a future regression dropping a stream's
# _normalize_enabled reassignment would otherwise pass every other test).
class TestLiveNormalizeFlip:
def test_http_flip_true_to_false_and_back(self):
s = _http(True, 50.0)
assert s.get_value() == pytest.approx(0.5) # rescaled
s.update_source(
ValueSource.from_dict(
_base(
"http", http_endpoint_id="ep", min_value=0.0, max_value=100.0, normalize=False
)
)
)
assert s.get_value() == 1.0 # now clamp-passthrough of 50.0
s.update_source(
ValueSource.from_dict(
_base("http", http_endpoint_id="ep", min_value=0.0, max_value=100.0, normalize=True)
)
)
assert s.get_value() == pytest.approx(0.5) # rescaled again, no stale-cache blend
def test_ha_flip_true_to_false(self):
s = _ha(True, "50")
assert s.get_value() == pytest.approx(0.5)
s.update_source(
ValueSource.from_dict(
_base(
"ha_entity",
ha_source_id="ha1",
entity_id="sensor.temp",
min_ha_value=0.0,
max_ha_value=100.0,
normalize=False,
)
)
)
assert s.get_value() == 1.0
def test_system_metrics_flip_true_to_false(self):
s = SystemMetricsValueStream(
metric="cpu_load", min_value=0.0, max_value=100.0, normalize=True
)
s._read_metric = lambda: 65.0 # type: ignore[method-assign]
first = s.get_value() # rescaled via the cpu_load spec
assert 0.0 <= first <= 1.0
s.update_source(
ValueSource.from_dict(
_base(
"system_metrics",
metric="cpu_load",
min_value=0.0,
max_value=100.0,
normalize=False,
)
)
)
s._read_metric = lambda: 65.0 # type: ignore[method-assign]
s._prev_value = None # force a fresh poll (bypass the poll-interval cache)
assert s.get_value() == 1.0 # clamp-passthrough of 65.0
def test_game_event_flip_true_to_false(self):
bus = GameEventBus()
stream = GameEventValueStream(
event_type="health",
min_game_value=0.0,
max_game_value=100.0,
normalize=True,
event_bus=bus,
)
stream.start()
bus.publish(_evt(50.0))
assert stream.get_value() == pytest.approx(0.5)
stream.update_source(
ValueSource.from_dict(
_base("game_event", min_game_value=0.0, max_game_value=100.0, normalize=False)
)
)
bus.publish(_evt(50.0))
assert stream.get_value() == 1.0 # clamp-passthrough
assert stream.get_raw_value() == pytest.approx(50.0)
stream.stop()
# ---------------------------------------------------------------------------
# build_stream() forwarding — game_event's SOLE wiring path (no CRUD/schema)
# ---------------------------------------------------------------------------
class TestBuildStreamForwarding:
def test_game_event_builder_forwards_normalize(self):
src = ValueSource.from_dict(
_base("game_event", min_game_value=0.0, max_game_value=100.0, normalize=False)
)
bus = GameEventBus()
deps = ValueStreamDeps(value_stream_manager=None, event_bus=bus)
stream = build_stream(src, deps)
assert isinstance(stream, GameEventValueStream)
assert stream._normalize_enabled is False # forwarded from the dataclass
stream.start()
bus.publish(_evt(50.0))
assert stream.get_value() == 1.0 # passthrough clamp, not 0.5 rescale
assert stream.get_raw_value() == pytest.approx(50.0)
stream.stop()
@@ -0,0 +1,253 @@
"""Tests for the Android playback-capture audio engine.
These run on desktop CI (no Android device needed): ``is_android`` is
monkeypatched and PCM is pushed directly into the module-level queue,
exactly as the Kotlin bridge would.
"""
import queue
import numpy as np
import pytest
# Importing the package triggers auto-registration of AndroidAudioEngine.
import ledgrab.core.audio # noqa: F401
from ledgrab.core.audio import android_audio_engine as eng
from ledgrab.core.audio.analysis import AudioAnalysis, AudioAnalyzer
from ledgrab.core.audio.audio_capture import AudioCaptureManager
from ledgrab.core.audio.factory import AudioEngineRegistry
ENGINE_MOD = "ledgrab.core.audio.android_audio_engine"
SAMPLE_RATE = 48000
CHANNELS = 2
CHUNK = 1024
# ---------------------------------------------------------------------------
# Helpers / fixtures
# ---------------------------------------------------------------------------
def _drain() -> None:
while not eng._pcm_queue.empty():
try:
eng._pcm_queue.get_nowait()
except queue.Empty:
break
def _block(marker: float = 0.0, frames: int = CHUNK, channels: int = CHANNELS) -> np.ndarray:
"""A float32 interleaved block whose first sample is ``marker``."""
data = np.zeros(frames * channels, dtype=np.float32)
data[0] = marker
return data
@pytest.fixture
def reset_engine():
"""Reset module-global engine state; snapshot/restore the registry.
The engine keeps its queue + format in module globals and the registry
is a class-level singleton both must be restored so this test file
never disturbs the desktop engines other tests rely on.
"""
saved_engines = dict(AudioEngineRegistry._engines)
eng.shutdown()
_drain()
eng._sample_rate = SAMPLE_RATE
eng._channels = CHANNELS
eng._chunk_size = CHUNK
eng._frames_received = 0
yield eng
eng.shutdown()
_drain()
AudioEngineRegistry._engines.clear()
AudioEngineRegistry._engines.update(saved_engines)
@pytest.fixture
def on_android(monkeypatch, reset_engine):
"""Engine fixture with ``is_android`` forced True and demo mode off."""
monkeypatch.setattr(f"{ENGINE_MOD}.is_android", lambda: True)
monkeypatch.setattr("ledgrab.core.audio.factory.is_demo_mode", lambda: False)
return reset_engine
# ---------------------------------------------------------------------------
# Queue / push contract
# ---------------------------------------------------------------------------
def test_configure_then_push_round_trips_samples(reset_engine):
# Arrange
eng.configure(SAMPLE_RATE, CHANNELS, CHUNK)
samples = np.arange(CHUNK * CHANNELS, dtype=np.float32)
# Act
eng.push_samples(samples.tobytes())
stream = eng.AndroidAudioEngine.create_stream(0, True, {})
stream.initialize()
got = stream.read_chunk()
# Assert
assert got is not None
np.testing.assert_array_equal(got, samples)
def test_queue_drops_oldest_when_full(reset_engine):
# Arrange
eng.configure(SAMPLE_RATE, CHANNELS, CHUNK)
maxsize = eng._pcm_queue.maxsize # 8
# Act — push more blocks than the queue can hold, each tagged 0..N-1
total = maxsize + 2
for i in range(total):
eng.push_samples(_block(marker=float(i)).tobytes())
drained = []
while True:
try:
drained.append(eng._pcm_queue.get_nowait())
except queue.Empty:
break
# Assert — only the newest `maxsize` blocks survived, oldest dropped
assert len(drained) == maxsize
markers = [int(b[0]) for b in drained]
assert markers == list(range(total - maxsize, total))
def test_initialize_raises_when_not_configured(reset_engine):
# Arrange — fixture left the engine inactive
stream = eng.AndroidAudioEngine.create_stream(0, True, {})
# Act / Assert
with pytest.raises(RuntimeError):
stream.initialize()
def test_read_chunk_returns_none_when_empty(reset_engine):
eng.configure(SAMPLE_RATE, CHANNELS, CHUNK)
stream = eng.AndroidAudioEngine.create_stream(0, True, {})
stream.initialize()
assert stream.read_chunk() is None
# ---------------------------------------------------------------------------
# Availability / enumeration (platform-gated)
# ---------------------------------------------------------------------------
def test_is_available_requires_android_and_active(monkeypatch, reset_engine):
# Not configured yet → inactive → unavailable even on Android.
monkeypatch.setattr(f"{ENGINE_MOD}.is_android", lambda: True)
assert eng.AndroidAudioEngine.is_available() is False
# Configured → active + Android → available.
eng.configure(SAMPLE_RATE, CHANNELS, CHUNK)
assert eng.AndroidAudioEngine.is_available() is True
# Active but not on Android → unavailable.
monkeypatch.setattr(f"{ENGINE_MOD}.is_android", lambda: False)
assert eng.AndroidAudioEngine.is_available() is False
def test_enumerate_devices(on_android):
# Inactive → no devices.
assert eng.AndroidAudioEngine.enumerate_devices() == []
# Active → exactly one loopback device.
eng.configure(SAMPLE_RATE, CHANNELS, CHUNK)
devices = eng.AndroidAudioEngine.enumerate_devices()
assert len(devices) == 1
dev = devices[0]
assert dev.is_loopback is True
assert dev.is_input is True
assert "Android playback" in dev.name
assert dev.channels == CHANNELS
# ---------------------------------------------------------------------------
# Regression guard — the analyzer must never crash on a malformed block
# (over-length or non-frame-divisible). This is the on-device failure the
# plan review surfaced; the desktop suite must catch it.
# ---------------------------------------------------------------------------
@pytest.mark.parametrize(
"raw_floats",
[
(CHUNK + 100) * CHANNELS, # over-length (more frames than chunk_size)
CHUNK * CHANNELS + 1, # not a whole number of stereo frames
3, # tiny + odd
CHUNK * CHANNELS, # exact (control)
],
)
def test_pushed_block_never_crashes_analyzer(reset_engine, raw_floats):
# Arrange
eng.configure(SAMPLE_RATE, CHANNELS, CHUNK)
pcm = np.random.default_rng(0).standard_normal(raw_floats).astype(np.float32)
analyzer = AudioAnalyzer(sample_rate=SAMPLE_RATE, chunk_size=CHUNK)
stream = eng.AndroidAudioEngine.create_stream(0, True, {})
stream.initialize()
# Act
eng.push_samples(pcm.tobytes())
chunk = stream.read_chunk()
# Assert — chunk is a safe shape and analyze() does not raise.
assert chunk is not None
assert len(chunk) % CHANNELS == 0
assert len(chunk) <= CHUNK * CHANNELS
analysis = analyzer.analyze(chunk, CHANNELS)
assert isinstance(analysis, AudioAnalysis)
# ---------------------------------------------------------------------------
# Registry integration
# ---------------------------------------------------------------------------
def test_best_available_engine_is_android_when_active(on_android):
# Arrange
eng.configure(SAMPLE_RATE, CHANNELS, CHUNK)
# Act
best = AudioEngineRegistry.get_best_available_engine()
# Assert — priority 100 beats every desktop engine; demo only wins in demo mode.
assert best == "android_playback"
def test_stream_via_registry_yields_pushed_chunk(on_android):
# Arrange
eng.configure(SAMPLE_RATE, CHANNELS, CHUNK)
samples = np.linspace(-1.0, 1.0, CHUNK * CHANNELS, dtype=np.float32)
# Act
stream = AudioEngineRegistry.create_stream("android_playback", 0, True, {})
stream.initialize()
eng.push_samples(samples.tobytes())
got = stream.read_chunk()
# Assert
assert stream.channels == CHANNELS
assert stream.sample_rate == SAMPLE_RATE
assert stream.chunk_size == CHUNK
np.testing.assert_array_equal(got, samples)
def test_device_surfaces_through_capture_manager(on_android):
# Arrange
eng.configure(SAMPLE_RATE, CHANNELS, CHUNK)
# Act
devices = AudioCaptureManager.enumerate_devices()
# Assert — the Android device is enumerated and tagged with its engine.
android = [d for d in devices if d["engine_type"] == "android_playback"]
assert len(android) == 1
assert android[0]["name"] == "Android playback (system audio)"
assert android[0]["is_loopback"] is True
+50
View File
@@ -0,0 +1,50 @@
"""Demo-seed regression tests (value sources, incl. the template combinator)."""
from ledgrab.core.demo_seed import seed_demo_data
from ledgrab.storage.database import Database
from ledgrab.storage.value_source import StaticValueSource, TemplateValueSource
from ledgrab.storage.value_source_store import ValueSourceStore
def _seed(tmp_path):
db = Database(tmp_path / "demo.db")
seed_demo_data(db)
return db
def test_demo_seeds_template_value_source(tmp_path):
db = _seed(tmp_path)
try:
store = ValueSourceStore(db)
by_id = {s.id: s for s in store.get_all_sources()}
base = by_id["vs_demo0001"]
boost = by_id["vs_demo0002"]
assert isinstance(base, StaticValueSource)
assert isinstance(boost, TemplateValueSource)
assert boost.template == "clamp(level * 1.5)"
assert boost.inputs == [{"name": "level", "value_source_id": "vs_demo0001"}]
# The reference graph is intact and consistent.
assert store.get_transitive_dependencies("vs_demo0002") == {"vs_demo0001"}
assert store.find_referencing_sources("vs_demo0001") == [boost.name]
finally:
db.close()
def test_demo_template_evaluates_through_manager(tmp_path):
"""The seeded template must actually evaluate over its seeded input."""
from ledgrab.core.processing.value_stream import ValueStreamManager
db = _seed(tmp_path)
try:
store = ValueSourceStore(db)
vsm = ValueStreamManager(value_source_store=store)
stream = vsm.acquire("vs_demo0002")
try:
# base level 0.5 -> clamp(0.5 * 1.5) = 0.75
assert abs(stream.get_value() - 0.75) < 1e-6
finally:
vsm.release("vs_demo0002")
finally:
db.close()
@@ -0,0 +1,231 @@
"""Tests for the template value source: model, factory, cycle/depth, refs."""
from datetime import datetime, timezone
import pytest
from ledgrab.storage.value_source import TemplateValueSource
class TestModelRoundTrip:
def _make(self, **over):
now = datetime.now(timezone.utc)
defaults = dict(
id="vs_t1",
name="Combo",
source_type="template",
created_at=now,
updated_at=now,
template="min(a * 2, 1)",
inputs=[{"name": "a", "value_source_id": "vs_a"}],
default_value=0.2,
eval_interval=1.5,
)
defaults.update(over)
return TemplateValueSource(**defaults)
def test_to_from_dict_idempotent(self):
src = self._make()
rebuilt = TemplateValueSource.from_dict(src.to_dict())
assert rebuilt.template == src.template
assert rebuilt.inputs == src.inputs
assert rebuilt.default_value == src.default_value
assert rebuilt.eval_interval == src.eval_interval
assert rebuilt.to_dict()["return_type"] == "float"
def test_old_row_deserializes_with_defaults(self):
"""A row written before template fields existed must load safely."""
now = datetime.now(timezone.utc).isoformat()
src = TemplateValueSource.from_dict(
{
"id": "vs_old",
"name": "Old",
"source_type": "template",
"created_at": now,
"updated_at": now,
}
)
assert src.template == ""
assert src.inputs == []
assert src.default_value == 0.0
assert src.eval_interval is None
def test_dirty_scalars_coerce_to_defaults(self):
"""Non-numeric stored scalars must not drop the whole row on load."""
src = TemplateValueSource.from_dict(
{
"id": "x",
"name": "n",
"source_type": "template",
"template": "a",
"default_value": "not-a-number",
"eval_interval": "bad",
}
)
assert src.default_value == 0.0
assert src.eval_interval is None
def test_inputs_normalized_from_dirty_data(self):
src = TemplateValueSource.from_dict(
{
"id": "x",
"name": "n",
"source_type": "template",
"inputs": [{"name": "a", "value_source_id": "vs_a"}, "junk", {"bad": 1}],
}
)
# non-dict entries dropped; dict entries coerced to {name, value_source_id}
assert src.inputs == [
{"name": "a", "value_source_id": "vs_a"},
{"name": "", "value_source_id": ""},
]
class TestFactoryCreate:
def test_create_valid(self, value_source_store):
src = value_source_store.create_source(
"Combo",
"template",
template="min(a * 2, 1)",
inputs=[{"name": "a", "value_source_id": ""}],
default_value=0.3,
)
assert isinstance(src, TemplateValueSource)
assert src.id.startswith("vs_")
assert src.default_value == 0.3
def test_empty_template_rejected(self, value_source_store):
with pytest.raises(ValueError):
value_source_store.create_source("X", "template", template=" ", inputs=[])
def test_compile_error_rejected(self, value_source_store):
with pytest.raises(ValueError):
value_source_store.create_source("X", "template", template="a +", inputs=[])
def test_cost_bomb_rejected(self, value_source_store):
with pytest.raises(ValueError):
value_source_store.create_source("X", "template", template="10 ** 10", inputs=[])
def test_reserved_input_name_rejected(self, value_source_store):
with pytest.raises(ValueError):
value_source_store.create_source(
"X",
"template",
template="min(0, 1)",
inputs=[{"name": "min", "value_source_id": "vs_a"}],
)
def test_duplicate_input_name_rejected(self, value_source_store):
with pytest.raises(ValueError):
value_source_store.create_source(
"X",
"template",
template="a",
inputs=[
{"name": "a", "value_source_id": "vs_a"},
{"name": "a", "value_source_id": "vs_b"},
],
)
def test_default_value_out_of_range_rejected(self, value_source_store):
with pytest.raises(ValueError):
value_source_store.create_source(
"X",
"template",
template="a",
inputs=[{"name": "a", "value_source_id": ""}],
default_value=5.0,
)
def test_unbound_variable_rejected(self, value_source_store):
# 'ha_enti' is referenced but only 'ha_entity' is bound (typo) → reject.
with pytest.raises(ValueError):
value_source_store.create_source(
"X",
"template",
template="ha_enti",
inputs=[{"name": "ha_entity", "value_source_id": ""}],
)
class TestFactoryUpdate:
def test_partial_update_template_only(self, value_source_store):
src = value_source_store.create_source(
"X",
"template",
template="a",
inputs=[{"name": "a", "value_source_id": ""}],
default_value=0.1,
)
updated = value_source_store.update_source(src.id, template="clamp(a * 3)")
assert updated.template == "clamp(a * 3)"
assert updated.default_value == 0.1 # unchanged
def test_update_invalid_template_rejected(self, value_source_store):
src = value_source_store.create_source("X", "template", template="clamp(0.5)", inputs=[])
with pytest.raises(ValueError):
value_source_store.update_source(src.id, template="a |")
class TestCycleAndDepth:
def test_self_reference_rejected(self, value_source_store):
t = value_source_store.create_source("T", "template", template="clamp(0.5)", inputs=[])
with pytest.raises(ValueError):
value_source_store.update_source(t.id, inputs=[{"name": "x", "value_source_id": t.id}])
def test_circular_reference_rejected(self, value_source_store):
t1 = value_source_store.create_source("T1", "template", template="clamp(0.5)", inputs=[])
t2 = value_source_store.create_source(
"T2",
"template",
template="x",
inputs=[{"name": "x", "value_source_id": t1.id}],
)
# t1 -> t2 -> t1 would be a cycle
with pytest.raises(ValueError):
value_source_store.update_source(
t1.id, inputs=[{"name": "x", "value_source_id": t2.id}]
)
def test_deep_chain_rejected(self, value_source_store):
prev = value_source_store.create_source("L0", "template", template="clamp(0.5)", inputs=[])
created = 1
with pytest.raises(ValueError):
for i in range(1, 12):
node = value_source_store.create_source(
f"L{i}",
"template",
template="x",
inputs=[{"name": "x", "value_source_id": prev.id}],
)
prev = node
created += 1
# Should have rejected before building an unbounded chain.
assert created <= 8
def test_get_transitive_dependencies(self, value_source_store):
leaf = value_source_store.create_source(
"leaf", "template", template="clamp(0.5)", inputs=[]
)
mid = value_source_store.create_source(
"mid", "template", template="x", inputs=[{"name": "x", "value_source_id": leaf.id}]
)
top = value_source_store.create_source(
"top", "template", template="x", inputs=[{"name": "x", "value_source_id": mid.id}]
)
deps = value_source_store.get_transitive_dependencies(top.id)
assert deps == {mid.id, leaf.id}
class TestReferencingSources:
def test_find_referencing_sources(self, value_source_store):
base = value_source_store.create_source("Base", "static", value=0.5)
tmpl = value_source_store.create_source(
"Uses",
"template",
template="b",
inputs=[{"name": "b", "value_source_id": base.id}],
)
refs = value_source_store.find_referencing_sources(base.id)
assert tmpl.name in refs
assert value_source_store.find_referencing_sources(tmpl.id) == []
@@ -7,7 +7,10 @@ from ledgrab.storage.value_source import (
AnimatedValueSource,
AudioValueSource,
DaylightValueSource,
HAEntityValueSource,
HTTPValueSource,
StaticValueSource,
SystemMetricsValueSource,
ValueSource,
)
from ledgrab.storage.value_source_store import ValueSourceStore
@@ -238,6 +241,50 @@ class TestValueSourceStoreCRUD:
assert updated.speed == 30.0
# ---------------------------------------------------------------------------
# normalize flag — full store create/update path (factory builder + applier)
# ---------------------------------------------------------------------------
class TestValueSourceNormalizeStoreRoundTrip:
"""The ``normalize`` flag must survive the real write path —
create_source -> CREATE_BUILDERS and update_source -> UPDATE_APPLIERS
not just dataclass from_dict/to_dict. A dropped builder/applier line would
silently revert/ignore the flag while every dataclass-level test stayed
green, so these exercise the factory layer end-to-end (game_event is
intentionally excluded it has no store/CRUD path).
"""
_CASES = [
("ha_entity", {"ha_source_id": "ha1", "entity_id": "sensor.temp"}, HAEntityValueSource),
("http", {"http_endpoint_id": "ep1"}, HTTPValueSource),
("system_metrics", {"metric": "cpu_load"}, SystemMetricsValueSource),
]
@pytest.mark.parametrize("source_type,kwargs,cls", _CASES)
def test_create_normalize_false_persists(self, store, source_type, kwargs, cls):
s = store.create_source(
name=f"{source_type}_n", source_type=source_type, normalize=False, **kwargs
)
assert isinstance(s, cls)
assert s.normalize is False
# Re-read exercises the SQLite blob persistence round-trip as well.
assert store.get_source(s.id).normalize is False
@pytest.mark.parametrize("source_type,kwargs,cls", _CASES)
def test_create_normalize_defaults_true(self, store, source_type, kwargs, cls):
s = store.create_source(name=f"{source_type}_d", source_type=source_type, **kwargs)
assert s.normalize is True
@pytest.mark.parametrize("source_type,kwargs,cls", _CASES)
def test_update_normalize_flip(self, store, source_type, kwargs, cls):
s = store.create_source(
name=f"{source_type}_u", source_type=source_type, normalize=False, **kwargs
)
assert store.update_source(s.id, normalize=True).normalize is True
assert store.update_source(s.id, normalize=False).normalize is False
# ---------------------------------------------------------------------------
# Name uniqueness
# ---------------------------------------------------------------------------
+136
View File
@@ -0,0 +1,136 @@
"""Tests for the hardened sandboxed-Jinja expression engine."""
import pytest
from ledgrab.utils.template_expr import (
GLOBALS,
RESERVED_NAMES,
TemplateValidationError,
clamp,
compile_template,
extract_variables,
finalize_result,
validate_input_name,
validate_template_expression,
)
class TestCompileAndEval:
def test_basic_eval(self):
assert compile_template("min(a * 2, 1)")(a=0.3, raw={}) == pytest.approx(0.6)
def test_clamp_global(self):
assert compile_template("clamp((t - 18) / 10)")(t=22.5, raw={}) == pytest.approx(0.45)
def test_raw_subscript(self):
assert compile_template("raw['t'] / 100")(raw={"t": 42.0}) == pytest.approx(0.42)
def test_ternary_and_comparison(self):
expr = compile_template("a if a > 0.5 else b")
assert expr(a=0.8, b=0.1, raw={}) == pytest.approx(0.8)
assert expr(a=0.2, b=0.1, raw={}) == pytest.approx(0.1)
def test_all_globals_callable(self):
for tpl in ("min(a, b)", "max(a, b)", "abs(a - b)", "round(a, 1)", "clamp(a)"):
compile_template(tpl)(a=0.4, b=0.6, raw={})
class TestRejections:
@pytest.mark.parametrize(
"tpl",
[
"",
" ",
"a +", # syntax error
"10 ** 3", # power bomb
"'a' * 1000", # string repetition
"a | pprint", # filter
"a is defined", # test
"a.__class__", # attribute access
"raw['s'].format(1)", # str gadget via attribute
"dict(x=1)", # non-global call
"namespace(x=1)",
"range(3)",
"cycler(1, 2)",
"[0] * 1000000", # list-literal repetition (memory bomb)
"(1,) * 1000000", # tuple-literal repetition (memory bomb)
"[1, 2, 3]", # bare list literal
"{1: 2}", # dict literal
],
)
def test_rejected(self, tpl):
with pytest.raises(TemplateValidationError):
validate_template_expression(tpl)
@pytest.mark.parametrize(
"tpl",
[
"min(a * 2, 1)",
"(a + b) / 2",
"clamp((t - 18) / 10, 0, 1)",
"raw['x'] / 100",
"a if a > b else b",
"abs(a - b)",
],
)
def test_accepted(self, tpl):
validate_template_expression(tpl) # must not raise
class TestFinalizeResult:
def test_nan_returns_default(self):
assert finalize_result(float("nan"), 0.25) == 0.25
def test_inf_returns_default(self):
assert finalize_result(float("inf"), 0.25) == 0.25
assert finalize_result(float("-inf"), 0.25) == 0.25
def test_non_numeric_returns_default(self):
assert finalize_result("nope", 0.25) == 0.25
assert finalize_result(None, 0.25) == 0.25
def test_overflow_returns_default(self):
# float() of a multi-hundred-digit int (chained big-int multiply) raises
# OverflowError, not ValueError — must still fall back, not propagate.
assert finalize_result(10**400, 0.25) == 0.25
def test_clamps_to_unit(self):
assert finalize_result(5.0, 0.0) == 1.0
assert finalize_result(-1.0, 0.0) == 0.0
assert finalize_result(0.5, 0.0) == pytest.approx(0.5)
def test_clamp_helper(self):
assert clamp(2.0) == 1.0
assert clamp(-2.0) == 0.0
assert clamp(5.0, 0.0, 10.0) == 5.0
class TestInputNames:
@pytest.mark.parametrize("name", ["audio", "cpu_load", "_x", "Temp2"])
def test_valid(self, name):
validate_input_name(name)
@pytest.mark.parametrize("name", ["", "1bad", "has space", "a-b", "a.b"])
def test_invalid_identifier(self, name):
with pytest.raises(TemplateValidationError):
validate_input_name(name)
@pytest.mark.parametrize("name", sorted(RESERVED_NAMES))
def test_reserved(self, name):
with pytest.raises(TemplateValidationError):
validate_input_name(name)
def test_globals_are_reserved(self):
assert set(GLOBALS).issubset(RESERVED_NAMES)
assert "raw" in RESERVED_NAMES
class TestExtractVariables:
def test_excludes_globals_and_raw(self):
assert extract_variables("min(a, raw['x']) + b") == ["a", "b"]
def test_empty_for_uncompilable(self):
assert extract_variables("a +") == []
def test_constant_expression(self):
assert extract_variables("clamp(0.5)") == []