# ISR — Audio Recorder

> AI-generated code. Run at your own risk. MIT licence.

Records from multiple simultaneous sources — Icecast/HTTP streams and ALSA soundcards — with time-based file splitting.

## Features

- Multiple sources recorded in parallel (each in its own thread)
- **Stream recording** — HTTP/Icecast, auto-detects MP3 / OGG / AAC / FLAC / Opus from `Content-Type`
- **Soundcard recording** — ALSA (`arecord`), works on any Linux / Raspberry Pi
- Time-aligned file splits (e.g. every hour, on the hour)
- OGG / Opus / FLAC header injection so every split file is independently playable
- Auto-reconnect on stream drops or device errors
- WAV and FLAC output for soundcard sources
- Web UI to browse, download, and analyse recordings

---

## Quick start — bare-metal

```bash
pip install requests              # stream recording
pip install numpy soundfile       # FLAC output + web waveform analysis (optional)

cp config.example.ini config.ini
# edit config.ini to add your sources
python isr.py                     # start recorder  (Ctrl+C to stop)
python web.py                     # start web UI at http://localhost:8080
```

## Quick start — Docker

```bash
cp config.example.ini config.ini
# edit config.ini to add your sources (no path changes needed for Docker)

docker compose up -d
# recorder starts immediately; web UI at http://<host>:8080
docker compose logs -f            # tail logs from both services
docker compose down               # graceful stop (waits up to 30 s for files to close)
```

Recordings land in `./recordings/` on the host (bind-mounted into both containers at different internal paths — no config changes required vs. bare-metal).

If you only record streams (no soundcard), comment out the `devices` block in `docker-compose.yml`.

**Updating a running deployment:**
```bash
git pull
docker compose down
docker compose up -d --build
```
`docker compose down` is required — Docker won't apply changed volume mounts to existing containers without recreating them.

---

## Configuration

`config.ini` uses standard INI format. `[general]` provides defaults; every other section is a recording source. Source sections inherit all general settings and can override any of them.

### `[general]`

| Key | Default | Description |
|-----|---------|-------------|
| `output_directory` | `recordings` | Output path relative to the working directory (or absolute). The Docker setup mounts `./recordings` at `/app/recordings` so this default works unchanged. |
| `split_minutes` | `60` | Split into a new file every N minutes, aligned to clock boundaries (e.g. 60 → files start at :00, 30 → at :00 and :30). |
| `filename_pattern` | `%Y%m%d_%H%M%S` | strftime pattern; file extension is appended automatically. |
| `max_retries` | `10` | Give up after this many consecutive failures per source. |
| `retry_delay_seconds` | `5` | Wait between retries. |
| `log_level` | `INFO` | `DEBUG` / `INFO` / `WARNING` / `ERROR` / `CRITICAL` |
| `log_file` | `recorder.log` | Log file path. In Docker, logs also go to stdout and are visible via `docker compose logs`. |

### `type = stream`

```ini
[my_stream]
type     = stream
url      = http://icecast.example.com:8000/live
username =          # leave blank for public streams
password =
format   = auto     # auto | mp3 | ogg | aac | flac | opus
```

`format = auto` detects from the `Content-Type` response header. For OGG/Opus/FLAC the first ~16 KB of each connection is buffered to extract codec headers, which are then prepended to every split file — all files are independently playable.

A new file is always opened on (re)connect so gaps between connections are never silently merged.

### `type = soundcard`

```ini
[mic_in]
type        = soundcard
device      = default   # see device selection below
sample_rate = 44100
channels    = 2
format      = wav       # wav | flac
```

**Device selection:**

| Value | Behaviour |
|-------|-----------|
| `default` | System default input |
| `monitor` | First loopback/monitor source (capture system audio) |
| `<partial name>` | Case-insensitive substring match against device name |
| `hw:X,Y` | Exact ALSA hardware ID |

Run `python isr.py --list-devices` (or `arecord -l`) to see available devices and their IDs.

FLAC output requires `pip install soundfile numpy`.

### Multiple sources

Every section except `[general]` is a source — they all record simultaneously:

```ini
[general]
output_directory = recordings
split_minutes    = 60

[radio1]
type             = stream
url              = http://radio.example.com:8000/stream1
filename_pattern = radio1_%Y%m%d_%H%M%S

[system_audio]
type             = soundcard
device           = hw:0,0
filename_pattern = system_%Y%m%d_%H%M%S
```

---

## Filename patterns

strftime codes are substituted at split time. The file extension is added automatically.

| Pattern | Example |
|---------|---------|
| `%Y%m%d_%H%M%S` | `20241225_143000.mp3` |
| `radio_%Y-%m-%d_%H%M` | `radio_2024-12-25_1430.mp3` |
| `%Y/%m/%d/rec_%H%M%S` | `2024/12/25/rec_143000.mp3` *(subdirs created automatically)* |

---

## Web UI (`web.py`)

```bash
python web.py                        # serves ./recordings on port 8080
python web.py --dir /path/to/audio   # custom recordings directory
python web.py --port 8888            # custom port
python web.py --threshold 0.03       # loudness threshold 0–1 (default 0.05)
```

Shows a table of all recordings sorted newest-first. Features:

- **Inline playback** — collapsible `▶ Play` button per row; audio loads lazily via a seekable `/stream/` endpoint with HTTP Range support. Metadata is fetched immediately so the duration is visible without pressing play.
- **Waveform analysis** — on demand per file; computes RMS per 100 ms window and highlights loud sections. Supported for WAV and FLAC (FLAC requires `numpy` + `soundfile`). Pure-Python fallback for WAV when numpy is absent.
- **Timestamp jump** — after analysis, click any loud-section chip to seek the player to that position and pre-fill the cut panel. Use **J** / **K** keyboard shortcuts to jump to the previous / next section while audio is playing.
- **Cut & download** — `✂ Cut` button opens the player row and reveals a cut panel. Enter start and end times in `m:ss` or `h:mm:ss` format and click **↓ Download cut** to receive an ffmpeg-trimmed copy without re-encoding. Requires ffmpeg (included in the Docker image).
- **Filters** — live filename search and from/to date pickers above the table; applied client-side with no additional requests. Shows `N of M shown` when a filter is active.
- **Delete** — `✕ Delete` button per row with confirmation prompt; disabled for files currently being recorded; sends `DELETE /api/files/<name>` and removes the row without a full page reload.
- **Live REC badge** — files currently being written by `isr.py` show an animated REC indicator, polled every 5 seconds via `/api/status`. Duration for in-progress files shows `—` (header is unfinalized until recording stops).
- **WCAG-compliant** — skip link, `aria-expanded`/`aria-controls` on the player toggle, `aria-live` status, focus management, `role=img` on SVG waveforms.

---

## How it works

**Streams:** Connect via HTTP → detect format from `Content-Type` → buffer first ~16 KB to extract OGG/FLAC codec headers → stream raw bytes to disk → at each split boundary open a new file and prepend the saved headers. No transcoding, no decoding — raw bytes in, raw bytes out.

**Soundcard:** Spawn `arecord` as a subprocess (raw PCM output) → read 100 ms chunks via a thread → write 16-bit PCM to WAV or FLAC → split at configured boundaries.

Both recorder types run in separate threads and retry independently up to `max_retries`.

---

## Docker notes

**ALSA device access:** The `recorder` container needs `/dev/snd` mapped. The container runs as root, so no group configuration is needed — the device mapping alone is sufficient.

If ALSA still fails to find the device inside the container, verify the device exists on the host:
```bash
arecord -l           # list capture hardware
ls -la /dev/snd      # check device nodes
```

**Sharing the soundcard with another app (e.g. darkice):** ALSA `hw:` devices are exclusive — only one process can hold them at a time. `asound.conf` in this repo defines a `dsnoop` virtual device (`shared_mic`) that lets multiple processes capture simultaneously:

```bash
# 1. Deploy the ALSA config to the host (once)
sudo cp asound.conf /etc/asound.conf

# 2. Change darkice (or any other app) to use device "shared_mic" instead of hw:0,0

# 3. In config.ini set:  device = shared_mic
#    docker-compose.yml already mounts asound.conf and sets ipc: host
#    (ipc: host is required so the container shares the host IPC namespace for dsnoop shared memory)

# 4. Restart everything
sudo systemctl restart darkice
docker compose down && docker compose up -d --build
```

**Stream-only deployments:** If you don't use soundcard recording, remove the `devices` block and the `asound.conf` volume mount and `ipc: host` line from `docker-compose.yml` — the image works fine without them.

**Log file in Docker:** The recorder always logs to stdout, so `docker compose logs -f` shows live output. To persist logs on the host, set `log_file = /app/recordings/recorder.log` in `config.ini` (the `recordings` directory is the bind mount).

**File retention:** Individual recordings can be deleted from the web UI. For bulk / automated cleanup, add a cron job on the host:
```bash
# Delete recordings older than 30 days
find recordings/ -type f -mtime +30 -delete
```

---

## Licence

MIT