Five tasks: scaffold csproj, copy WakewordModel + models with Reset(), write Program.cs with the four-state machine, write bin/probe-cs-3 deploy script, and hardware verification on the Pi.
27 KiB
Test 3 — Full-cycle C# probe Implementation Plan
For agentic workers: REQUIRED SUB-SKILL: Use superpowers:subagent-driven-development (recommended) or superpowers:executing-plans to implement this plan task-by-task. Steps use checkbox (
- [ ]) syntax for tracking.
Goal: Build a single-binary C# probe at tests/03-full-cycle-cs/ that runs the full assistant cycle on the Pi: idle → "alexa" → beep → record 5 s → play back → idle, with detector gating during non-idle states and a WakewordModel.Reset() on every IDLE re-entry.
Architecture: One persistent PortAudio input stream feeds 80 ms frames into a BlockingCollection; a single consumer thread runs a four-state machine (IDLE / BEEPING / RECORDING / PLAYBACK). Beep and playback are fire-and-forget output streams using Test 2's Start()-before-Task.Run + 2 s timeout lifetime pattern. WakewordModel is copied verbatim from Test 2 with a new Reset() method called on PLAYBACK→IDLE.
Tech Stack: .NET 9 (self-contained linux-arm64), PortAudioSharp2 1.0.6, Microsoft.ML.OnnxRuntime 1.26.0. Deploy via dotnet publish + scp + ssh -t to Pi at pi@192.168.50.115.
Spec: docs/superpowers/specs/2026-06-12-test-3-full-cycle-csharp-design.md. Read it before starting.
Branch: fresh-start (already current; do NOT create a new branch).
Task 1: Scaffold tests/03-full-cycle-cs/ project skeleton
Files:
-
Create:
tests/03-full-cycle-cs/Probe.csproj -
Create:
tests/03-full-cycle-cs/models/(directory; populated in Task 2) -
Step 1: Create the project directory
mkdir -p tests/03-full-cycle-cs/models
- Step 2: Write
Probe.csproj
Create tests/03-full-cycle-cs/Probe.csproj with this exact content (identical to tests/02-wakeword-cs/Probe.csproj except RootNamespace):
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<OutputType>Exe</OutputType>
<TargetFramework>net9.0</TargetFramework>
<RootNamespace>FullCycleProbe</RootNamespace>
<AssemblyName>Probe</AssemblyName>
<Nullable>enable</Nullable>
<ImplicitUsings>enable</ImplicitUsings>
<RuntimeIdentifier>linux-arm64</RuntimeIdentifier>
<SelfContained>true</SelfContained>
<PublishSingleFile>false</PublishSingleFile>
<InvariantGlobalization>true</InvariantGlobalization>
<AllowUnsafeBlocks>true</AllowUnsafeBlocks>
</PropertyGroup>
<ItemGroup>
<PackageReference Include="PortAudioSharp2" Version="1.0.6" />
<PackageReference Include="Microsoft.ML.OnnxRuntime" Version="1.26.0" />
</ItemGroup>
<ItemGroup>
<Content Include="models/*.onnx">
<CopyToOutputDirectory>PreserveNewest</CopyToOutputDirectory>
</Content>
</ItemGroup>
</Project>
- Step 3: Commit the scaffold
git add tests/03-full-cycle-cs/Probe.csproj
git commit -m "Test 3 scaffold: csproj for tests/03-full-cycle-cs"
Task 2: Copy models and WakewordModel.cs from Test 2 (with namespace rename and Reset())
Files:
-
Create:
tests/03-full-cycle-cs/WakewordModel.cs(copied from Test 2, namespace renamed,Reset()added) -
Create:
tests/03-full-cycle-cs/models/melspectrogram.onnx -
Create:
tests/03-full-cycle-cs/models/embedding_model.onnx -
Create:
tests/03-full-cycle-cs/models/alexa.onnx -
Step 1: Copy the three ONNX model files
cp tests/02-wakeword-cs/models/melspectrogram.onnx tests/03-full-cycle-cs/models/
cp tests/02-wakeword-cs/models/embedding_model.onnx tests/03-full-cycle-cs/models/
cp tests/02-wakeword-cs/models/alexa.onnx tests/03-full-cycle-cs/models/
- Step 2: Copy
WakewordModel.cs
cp tests/02-wakeword-cs/WakewordModel.cs tests/03-full-cycle-cs/WakewordModel.cs
- Step 3: Rename the namespace in the copy
Edit tests/03-full-cycle-cs/WakewordModel.cs: change line 4 from namespace WakewordProbe; to namespace FullCycleProbe;. Leave everything else unchanged.
- Step 4: Add
Reset()method to the copy
Edit tests/03-full-cycle-cs/WakewordModel.cs. Insert the following method immediately before the public void Dispose() method near the bottom of the file:
public void Reset()
{
_rawRingFill = 0;
_melRing.Clear();
_embRing.Clear();
_framesSeen = 0;
}
(Note the trailing blank line. The result should be a method block sitting between return clsOut[0, 0]; } (end of Predict) and public void Dispose().)
- Step 5: Verify the project builds
Run from repo root:
dotnet build tests/03-full-cycle-cs -c Release
Expected: Build succeeded with 0 errors, 0 warnings. (At this point Program.cs doesn't exist yet; csproj is <OutputType>Exe</OutputType> but the build will produce a no-entry-point warning or error. If it errors with "CS5001: Program does not contain a static 'Main' method", that's expected at this stage — proceed to Task 3 which adds Program.cs.)
If the build errors for any reason other than the missing entry point, fix before continuing.
- Step 6: Commit
git add tests/03-full-cycle-cs/WakewordModel.cs tests/03-full-cycle-cs/models/
git commit -m "Test 3: copy WakewordModel + models from Test 2, add Reset()"
Task 3: Write Program.cs with the full state machine
Files:
- Create:
tests/03-full-cycle-cs/Program.cs
The whole file is shown below. It lifts from tests/02-wakeword-cs/Program.cs (env-var setup, OrtEnv init, FindUsbDevice, input stream + queue, FireAndForgetBeep, Libc, MakeBeep) and adds:
-
volatile State _stateenum-as-state-machine in the consumer loop. -
FireAndForgetPlaybackhelper (same shape asFireAndForgetBeepbut reads fromrecordBufand signals via_playbackDoneFlaginstead of aManualResetEventSlim). -
model.Reset()call on PLAYBACK→IDLE transition. -
Step 1: Write
Program.csin full
Create tests/03-full-cycle-cs/Program.cs with exactly this content:
using System.Collections.Concurrent;
using System.Diagnostics;
using System.Runtime.InteropServices;
using FullCycleProbe;
using Microsoft.ML.OnnxRuntime;
using PortAudioSharp;
using Stream = PortAudioSharp.Stream;
const int SampleRate = WakewordModel.SampleRate; // 16 000
const int Channels = 1;
const uint BlockFrames = WakewordModel.FrameSamples; // 1280 (80 ms)
const float Threshold = 0.5f;
const double CooldownSeconds = 1.0;
const double BeepHz = 880.0;
const double BeepSeconds = 0.2;
const int BeepingFrames = 3; // 3 * 80 ms = 240 ms (covers 200 ms beep + 40 ms drain/reverb margin)
const int RecordingFrames = 63; // 63 * 80 ms = 5.04 s (rounded up from 5 s to avoid partial-frame handling)
const int RecordBufSamples = RecordingFrames * (int)BlockFrames; // 80640
// .NET-side mirror for any readers that go through Environment.GetEnvironmentVariable,
// AND libc setenv so PortAudio / onnxruntime (which use getenv()) see the values.
Environment.SetEnvironmentVariable("PA_ALSA_PLUGHW", "1");
Libc.setenv("PA_ALSA_PLUGHW", "1", 1);
Environment.SetEnvironmentVariable("ORT_LOGGING_LEVEL", "3");
Libc.setenv("ORT_LOGGING_LEVEL", "3", 1);
// ORT 1.26.0: the env var does NOT suppress early GPU-discovery warnings from device_discovery.cc.
// CreateInstanceWithOptions sets the log level at OrtEnv creation time, before EP discovery runs.
var ortEnvOpts = new EnvironmentCreationOptions { logId = "FullCycleProbe", logLevel = OrtLoggingLevel.ORT_LOGGING_LEVEL_ERROR };
OrtEnv.CreateInstanceWithOptions(ref ortEnvOpts);
PortAudio.Initialize();
WakewordModel? model = null;
try
{
int device = FindUsbDevice();
Console.WriteLine($"Using device {device} ('{PortAudio.GetDeviceInfo(device).name}')");
Console.WriteLine("Loading WakewordModel...");
var t0 = DateTime.UtcNow;
string modelsDir = Path.Combine(AppContext.BaseDirectory, "models");
model = new WakewordModel(
Path.Combine(modelsDir, "melspectrogram.onnx"),
Path.Combine(modelsDir, "embedding_model.onnx"),
Path.Combine(modelsDir, "alexa.onnx"));
Console.WriteLine($"Loaded in {(DateTime.UtcNow - t0).TotalSeconds:0.00}s.");
var queue = new BlockingCollection<short[]>(boundedCapacity: 16);
using var cts = new CancellationTokenSource();
Console.CancelKeyPress += (_, e) => { e.Cancel = true; cts.Cancel(); };
var inParams = new StreamParameters
{
device = device,
channelCount = Channels,
sampleFormat = SampleFormat.Int16,
suggestedLatency = PortAudio.GetDeviceInfo(device).defaultLowInputLatency,
hostApiSpecificStreamInfo = IntPtr.Zero,
};
Stream.Callback callback = (IntPtr input, IntPtr _, uint frameCount,
ref StreamCallbackTimeInfo _2, StreamCallbackFlags status, IntPtr _3) =>
{
if (status.HasFlag(StreamCallbackFlags.InputOverflow))
Console.Error.WriteLine("[status] input overflow");
if (frameCount != BlockFrames)
{
Console.Error.WriteLine($"[status] unexpected callback frameCount={frameCount} (want {BlockFrames})");
return StreamCallbackResult.Continue;
}
var frame = new short[BlockFrames];
unsafe
{
short* src = (short*)input.ToPointer();
fixed (short* dst = &frame[0])
Buffer.MemoryCopy(src, dst, BlockFrames * sizeof(short), BlockFrames * sizeof(short));
}
if (!queue.TryAdd(frame, 0))
Console.Error.WriteLine("[status] consumer behind, dropping frame");
return StreamCallbackResult.Continue;
};
using var stream = new Stream(
inParams, null, SampleRate, BlockFrames, StreamFlags.NoFlag, callback, IntPtr.Zero);
stream.Start();
short[] beepBuffer = MakeBeep(BeepHz, BeepSeconds, SampleRate);
Console.WriteLine("Listening. Say 'alexa'. Ctrl-C to exit.");
var sw = Stopwatch.StartNew();
TimeSpan lastTrigger = TimeSpan.FromSeconds(-CooldownSeconds);
// State machine (single-writer: this consumer thread).
State state = State.Idle;
int beepFrames = 0;
int recordOffset = 0;
short[] recordBuf = null!; // assigned on BEEPING→RECORDING transition
var playbackDone = new PlaybackDoneFlag();
try
{
while (!cts.IsCancellationRequested)
{
short[] frame = queue.Take(cts.Token);
switch (state)
{
case State.Idle:
{
float score = model.Predict(frame);
var now = sw.Elapsed;
if (score >= Threshold && (now - lastTrigger).TotalSeconds >= CooldownSeconds)
{
Console.WriteLine($"DETECTED alexa score={score:0.000} t={now.TotalSeconds:0.0}s");
lastTrigger = now;
try
{
FireAndForgetBeep(device, beepBuffer);
}
catch (Exception ex)
{
Console.Error.WriteLine($"[error] beep stream failed to start: {ex.Message}");
// Stay in IDLE — no cycle to abort yet.
break;
}
Console.WriteLine("[state] BEEPING");
state = State.Beeping;
beepFrames = 0;
}
break;
}
case State.Beeping:
{
beepFrames++;
if (beepFrames >= BeepingFrames)
{
Console.WriteLine("[state] RECORDING");
state = State.Recording;
recordBuf = new short[RecordBufSamples];
recordOffset = 0;
}
break;
}
case State.Recording:
{
unsafe
{
fixed (short* src = &frame[0])
fixed (short* dst = &recordBuf[recordOffset])
Buffer.MemoryCopy(src, dst, BlockFrames * sizeof(short), BlockFrames * sizeof(short));
}
recordOffset += (int)BlockFrames;
if (recordOffset >= RecordBufSamples)
{
try
{
FireAndForgetPlayback(device, recordBuf, playbackDone);
}
catch (Exception ex)
{
Console.Error.WriteLine($"[error] playback stream failed to start: {ex.Message}");
// Drop the recording, reset model, return to IDLE.
model.Reset();
Console.WriteLine("[state] IDLE");
state = State.Idle;
break;
}
Console.WriteLine("[state] PLAYBACK");
state = State.Playback;
}
break;
}
case State.Playback:
{
// Discard input during playback (gate the detector).
if (playbackDone.Consume())
{
model.Reset();
Console.WriteLine("[state] IDLE");
state = State.Idle;
}
break;
}
}
}
}
catch (OperationCanceledException) { /* Ctrl-C path */ }
stream.Stop();
Console.WriteLine("\nbye");
}
finally
{
model?.Dispose();
PortAudio.Terminate();
}
static int FindUsbDevice()
{
int count = PortAudio.DeviceCount;
for (int i = 0; i < count; i++)
{
var info = PortAudio.GetDeviceInfo(i);
if (info.name.ToLowerInvariant().Contains("usb") && info.maxInputChannels >= 1)
return i;
}
Console.Error.WriteLine("USB audio device not found. Devices:");
for (int i = 0; i < count; i++)
{
var info = PortAudio.GetDeviceInfo(i);
Console.Error.WriteLine(
$" [{i}] {info.name} in={info.maxInputChannels} out={info.maxOutputChannels}");
}
Environment.Exit(1);
return -1; // unreachable
}
static short[] MakeBeep(double freqHz, double durationS, int sampleRate)
{
int n = (int)(sampleRate * durationS);
var buf = new short[n];
for (int i = 0; i < n; i++)
{
double t = i / (double)sampleRate;
double v = 0.3 * Math.Sin(2.0 * Math.PI * freqHz * t);
buf[i] = (short)(v * short.MaxValue);
}
return buf;
}
static void FireAndForgetBeep(int device, short[] beepBuffer)
{
int offset = 0;
var done = new ManualResetEventSlim(false);
var outParams = new StreamParameters
{
device = device,
channelCount = 1,
sampleFormat = SampleFormat.Int16,
suggestedLatency = PortAudio.GetDeviceInfo(device).defaultLowOutputLatency,
hostApiSpecificStreamInfo = IntPtr.Zero,
};
Stream.Callback playCb = (IntPtr _, IntPtr output, uint frameCount,
ref StreamCallbackTimeInfo _2, StreamCallbackFlags _3, IntPtr _4) =>
{
int remaining = beepBuffer.Length - offset;
int take = (int)Math.Min(frameCount, (uint)remaining);
unsafe
{
short* dst = (short*)output.ToPointer();
if (take > 0)
{
fixed (short* src = &beepBuffer[offset])
Buffer.MemoryCopy(src, dst, take * sizeof(short), take * sizeof(short));
offset += take;
}
for (int i = take; i < frameCount; i++) dst[i] = 0;
}
if (offset >= beepBuffer.Length)
{
done.Set();
return StreamCallbackResult.Complete;
}
return StreamCallbackResult.Continue;
};
var stream = new Stream(
null, outParams, WakewordModel.SampleRate, 1024, StreamFlags.NoFlag, playCb, IntPtr.Zero);
try
{
stream.Start();
}
catch
{
stream.Dispose();
done.Dispose();
throw;
}
Task.Run(() =>
{
// 2 s timeout so a failed callback (which PortAudio silently swallows
// and would leave 'done' unset) eventually releases the stream + handle
// instead of leaking them for the process lifetime.
done.Wait(TimeSpan.FromSeconds(2));
Thread.Sleep(200);
stream.Stop();
stream.Dispose();
done.Dispose();
});
}
static void FireAndForgetPlayback(int device, short[] recordBuf, PlaybackDoneFlag doneFlag)
{
int offset = 0;
var done = new ManualResetEventSlim(false);
var outParams = new StreamParameters
{
device = device,
channelCount = 1,
sampleFormat = SampleFormat.Int16,
suggestedLatency = PortAudio.GetDeviceInfo(device).defaultLowOutputLatency,
hostApiSpecificStreamInfo = IntPtr.Zero,
};
Stream.Callback playCb = (IntPtr _, IntPtr output, uint frameCount,
ref StreamCallbackTimeInfo _2, StreamCallbackFlags _3, IntPtr _4) =>
{
int remaining = recordBuf.Length - offset;
int take = (int)Math.Min(frameCount, (uint)remaining);
unsafe
{
short* dst = (short*)output.ToPointer();
if (take > 0)
{
fixed (short* src = &recordBuf[offset])
Buffer.MemoryCopy(src, dst, take * sizeof(short), take * sizeof(short));
offset += take;
}
for (int i = take; i < frameCount; i++) dst[i] = 0;
}
if (offset >= recordBuf.Length)
{
done.Set();
return StreamCallbackResult.Complete;
}
return StreamCallbackResult.Continue;
};
var stream = new Stream(
null, outParams, WakewordModel.SampleRate, 1024, StreamFlags.NoFlag, playCb, IntPtr.Zero);
try
{
stream.Start();
}
catch
{
stream.Dispose();
done.Dispose();
throw;
}
Task.Run(() =>
{
// Same 2 s safety timeout as the beep cleanup.
done.Wait(TimeSpan.FromSeconds(2));
Thread.Sleep(200);
stream.Stop();
stream.Dispose();
done.Dispose();
doneFlag.Set(); // tell the consumer it's safe to flip PLAYBACK→IDLE
});
}
enum State { Idle, Beeping, Recording, Playback }
// Volatile flag set by the playback cleanup task and consumed by the consumer thread.
// Wrapped in a tiny class so we can pass it by reference into the helper.
sealed class PlaybackDoneFlag
{
private volatile bool _set;
public void Set() => _set = true;
public bool Consume()
{
if (!_set) return false;
_set = false;
return true;
}
}
static class Libc
{
[DllImport("libc", EntryPoint = "setenv")]
public static extern int setenv(string name, string value, int overwrite);
}
- Step 2: Verify the project builds cleanly
dotnet build tests/03-full-cycle-cs -c Release
Expected: Build succeeded with 0 errors, 0 warnings.
If <AllowUnsafeBlocks> is missing from the csproj, the build will fail with CS0227: Unsafe code may only appear if compiling with /unsafe. Confirm Task 1's csproj has <AllowUnsafeBlocks>true</AllowUnsafeBlocks>.
If you see CS0246: The type or namespace 'Stream' could not be found or a clash with System.IO.Stream, confirm the using Stream = PortAudioSharp.Stream; line is at the top of Program.cs.
- Step 3: Verify
dotnet publishproduces a runnable binary
dotnet publish tests/03-full-cycle-cs -c Release -r linux-arm64 --self-contained -o /tmp/probe-cs-3-out
ls /tmp/probe-cs-3-out/Probe
ls /tmp/probe-cs-3-out/models/
Expected:
-
Probe(executable) exists. -
models/directory containsmelspectrogram.onnx,embedding_model.onnx,alexa.onnx. -
Step 4: Commit
git add tests/03-full-cycle-cs/Program.cs
git commit -m "Test 3: full-cycle state machine (IDLE/BEEPING/RECORDING/PLAYBACK)"
Task 4: Write bin/probe-cs-3 deploy script
Files:
-
Create:
bin/probe-cs-3 -
Step 1: Write the deploy script
Create bin/probe-cs-3 with exactly this content (it's bin/probe-cs-2 with three string swaps: 02-wakeword-cs → 03-full-cycle-cs, probe-cs-2 → probe-cs-3, /tmp/probe-cs-2-out → /tmp/probe-cs-3-out):
#!/usr/bin/env bash
set -euo pipefail
PI_HOST="${PI_HOST:-192.168.50.115}"
PI_USER="${PI_USER:-pi}"
PI_PASS="${PI_PASS:-assistant}"
PUBLISH_DIR="${PUBLISH_DIR:-/tmp/probe-cs-3-out}"
repo_root="$(cd "$(dirname "$0")/.." && pwd)"
cd "$repo_root"
echo ">> dotnet publish (linux-arm64, self-contained)"
dotnet publish tests/03-full-cycle-cs \
-c Release -r linux-arm64 --self-contained \
-o "$PUBLISH_DIR"
echo ">> scp to $PI_USER@$PI_HOST:~/probe-cs-3/ (wipe-and-replace)"
sshpass -p "$PI_PASS" ssh -o StrictHostKeyChecking=accept-new \
"$PI_USER@$PI_HOST" 'rm -rf ~/probe-cs-3 && mkdir ~/probe-cs-3'
sshpass -p "$PI_PASS" scp -r "$PUBLISH_DIR/." \
"$PI_USER@$PI_HOST:~/probe-cs-3/"
echo ">> ssh + run on Pi (Ctrl-C from this terminal stops the probe)"
sshpass -p "$PI_PASS" ssh -t -o StrictHostKeyChecking=accept-new \
"$PI_USER@$PI_HOST" 'cd ~/probe-cs-3 && chmod +x Probe && ./Probe'
- Step 2: Make it executable
chmod +x bin/probe-cs-3
- Step 3: Commit
git add bin/probe-cs-3
git commit -m "Test 3: bin/probe-cs-3 deploy script"
Task 5: Hardware verification on the Pi
This task is the actual pass/fail gate. No automated tests; verification is the human ear + console output + top reading on the Pi. If anything in this task fails, do NOT mark the implementation complete — investigate and either fix in code or update the spec to reflect what actually works.
Files: (none — this is a runtime verification task)
- Step 1: Confirm the Pi is reachable
Run from workstation:
ping -c 2 192.168.50.115
Expected: 2/2 replies. If unreachable, stop and ask the user.
- Step 2: Deploy + run
Run from workstation:
./bin/probe-cs-3
Expected console output (abridged):
>> dotnet publish (linux-arm64, self-contained)
... (build output) ...
>> scp to pi@192.168.50.115:~/probe-cs-3/ (wipe-and-replace)
>> ssh + run on Pi (Ctrl-C from this terminal stops the probe)
[wakeword-model] melspectrogram.onnx
input ...
[wakeword-model] embedding_model.onnx ...
[wakeword-model] alexa.onnx ...
Loaded in 0.6s.
Using device <N> ('USB Speaker Phone...')
Listening. Say 'alexa'. Ctrl-C to exit.
If the publish step errors with setenv: command not found or similar libc-related runtime crash, confirm Task 3's Libc.setenv [DllImport] is present and the binary was self-contained-published.
If the Pi run errors with Cannot open shared library libonnxruntime.so or libportaudio.so, the self-contained publish didn't bundle the native libs — confirm <SelfContained>true</SelfContained> and <RuntimeIdentifier>linux-arm64</RuntimeIdentifier> in Task 1's csproj.
- Step 3: Run 3 full cycles back-to-back
Say "alexa" clearly at normal volume from ~1 m. Observe:
- Beep plays within ~100 ms of saying "alexa".
- Console prints
DETECTED alexa score=…, then[state] BEEPING, then[state] RECORDING. - Say something distinctive (e.g. "hello world, this is cycle one") within the 5 s recording window.
- Console prints
[state] PLAYBACK. - Speaker plays back what you said. It should be recognisable.
- Console prints
[state] IDLE. - Pause ~1.5 s, then say "alexa" again. Verify the cycle starts over.
Repeat for cycle 2 and cycle 3. Record on paper (or transcript) which cycles succeeded.
Pass criterion 1: 3 full cycles back-to-back; each playback recognisable as what was spoken.
- Step 4: Measure idle CPU on the Pi
In a second workstation terminal:
sshpass -p 'assistant' ssh pi@192.168.50.115 'top -b -n 3 -d 1 -p $(pgrep -f Probe)'
Expected: Probe process appears with %CPU < 50 across the three samples (Test 2 measured 17–31%, Test 3 should be in the same range during IDLE).
Pass criterion 4: CPU < 50% of one core during IDLE.
- Step 5: Test post-playback re-detection latency
Speak "alexa" immediately after each [state] IDLE log line. Note how soon detection fires.
Pass criterion 2: Next "alexa" after playback detected within ~2 s of playback ending. (Below ~1.3 s is impossible due to WarmupFrames; above ~2 s indicates a regression.)
- Step 6: Scan for warnings
Re-read the console output from Step 3. Confirm there are no lines of the form:
[status] input overflow[status] consumer behind, dropping frame[status] unexpected callback frameCount=...[error] beep stream failed to start: ...[error] playback stream failed to start: ...
A single occurrence under abnormal load may be tolerable; sustained occurrences during normal cycles fail criterion 5.
- Step 7: Test Ctrl-C clean exit
Press Ctrl-C in the workstation terminal that's running the probe.
Expected:
^C
bye
$
Pass criterion 7: process exits 0, no stack trace, terminal returns to prompt. Verify with echo $? → 0.
- Step 8: Wakeword detection rate during IDLE
Restart the probe (./bin/probe-cs-3). Wait until Listening. Say 'alexa'. Ctrl-C to exit. appears. Say "alexa" 10 times with a ~2 s gap between each. Count how many times DETECTED alexa score=… appears.
Pass criterion 3: ≥ 8/10. (Test 2 demonstrated this rate; Test 3 should match.)
- Step 9: Update
findings.mdwith the outcome
Add a new section ## Test 3 full-cycle outcome (2026-06-12) at the bottom of findings.md summarising:
- Pass / fail per criterion.
- Any new gotchas discovered during implementation or hardware verification (especially any that contradicted the spec's predictions).
- CPU measurement (peak + typical), detection latency post-playback, observed pass rate.
- Reference paths (spec + plan + code + deploy script).
Use the existing Test 1 and Test 2 outcome sections in findings.md as the template.
- Step 10: Commit the findings update
git add findings.md
git commit -m "Findings: Test 3 full-cycle probe outcome"
- Step 11: Final status report
Report to the user:
- Pass/fail per criterion (1 through 7 from spec).
- Any criteria that failed and what was discovered.
- A one-line summary of whether Test 3 unblocks the main Pi-client implementation.
Self-review notes
- Spec coverage: every section of the spec maps to a task — Architecture/State machine/Components → Tasks 1–4. Why-Reset-matters → Task 2's
Reset()+ Task 3's PLAYBACK→IDLE branch. Error handling → Task 3's try/catch on the FireAndForget calls +[status]/[error]log lines. Gotchas-carried-forward → preserved verbatim in Task 3's code. Verification → Task 5. - Placeholder scan: no TBD/TODO; every code step shows the actual code; every command shows expected output.
- Type consistency:
Stateenum (Idle,Beeping,Recording,Playback) used consistently;PlaybackDoneFlag.Set()/.Consume()used consistently betweenFireAndForgetPlaybackand the consumer's PLAYBACK branch;WakewordModel.Reset()called in two places (Recording-failure recovery and Playback→Idle), signature is parameterless in both.