Files
pi-multifx-pedal/src/system/defaults.py
T
shawn 77a757cee6 R1: Dashboard 500 fix, Phase 2/7 uncommitted changes
- Fix dashboard 500 when deps disconnected — _gather_state() now returns
  full defaults instead of bare {'connected': False}
- Phase 2: FX param schemas aligned with DSP implementations
- Phase 7: Pipeline routing, preset manager improvements
- Factory presets: cleanup and normalization

Fixes dashboard crash on disconnected state (dogfood issue #1)
2026-06-12 14:02:13 -04:00

207 lines
6.8 KiB
Python

"""Default NAM models, IRs, and directory structure for the Pi Multi-FX Pedal.
Provides helpers for:
- Getting canonical default directories for IRs and NAM models
- Generating a basic default IR WAV file
- Generating a minimal pass-through NAM model (Linear, identity)
- Ensuring all default directories and fallback files exist at startup
"""
from __future__ import annotations
import json
import logging
from pathlib import Path
import numpy as np
from scipy.io import wavfile
logger = logging.getLogger(__name__)
# ── Canonical paths ────────────────────────────────────────────────────────────
_DEFAULT_IRS_DIR = Path.home() / ".pedal" / "irs" / "default"
_DEFAULT_MODELS_DIR = Path.home() / ".pedal" / "nam" / "default"
_FACTORY_PRESET_DIR = (
Path(__file__).resolve().parent.parent.parent / "presets" / "factory"
)
def get_default_irs_dir() -> Path:
"""Return the canonical directory for default IR files.
This is ``~/.pedal/irs/default/``.
"""
return _DEFAULT_IRS_DIR
def get_default_models_dir() -> Path:
"""Return the canonical directory for default NAM model files.
This is ``~/.pedal/nam/default/``.
"""
return _DEFAULT_MODELS_DIR
# ── Default IR generation ─────────────────────────────────────────────────────
_DEFAULT_IR_SAMPLE_RATE = 48000
_DEFAULT_IR_NUM_SAMPLES = 1024
def generate_default_ir(
path: Path | None = None,
sample_rate: int = _DEFAULT_IR_SAMPLE_RATE,
num_samples: int = _DEFAULT_IR_NUM_SAMPLES,
) -> Path:
"""Generate a simple default impulse response WAV file.
Produces a short exponentially-decaying impulse (not silence) so
convolution will colour the sound subtly rather than mute it.
Parameters
----------
path : Path or None
Destination path. Defaults to ``~/.pedal/irs/default/default_ir.wav``.
sample_rate : int
Sample rate in Hz (default 48000).
num_samples : int
Length of the IR in samples (default 1024, ≈21 ms @ 48 kHz).
Returns
-------
Path
The path the WAV file was written to.
"""
if path is None:
path = _DEFAULT_IRS_DIR / "default_ir.wav"
path.parent.mkdir(parents=True, exist_ok=True)
# A short decaying impulse: 1 at sample 0, then exponential decay.
# Using a mild decay constant so the IR is audibly non-trivial.
t = np.arange(num_samples, dtype=np.float32)
ir = np.exp(-t / (num_samples * 0.15)) # decay tail
ir[0] = 1.0 # initial impulse
# Normalise to [-1, 1]
peak = np.max(np.abs(ir))
if peak > 0:
ir = ir / peak
# Write as 16-bit PCM WAV
wavfile.write(str(path), sample_rate, (ir * 32767).astype(np.int16))
logger.info("Generated default IR: %s (%d samples, %d Hz)", path, num_samples, sample_rate)
return path
# ── Pass-through NAM model generation ─────────────────────────────────────────
_NAM_PASSTHROUGH = {
"architecture": "Linear",
"config": {
"receptive_field": 1,
"bias": False,
},
"weights": [1.0],
}
def generate_passthrough_nam(path: Path | None = None) -> Path:
"""Generate a minimal pass-through NAM model file (Linear, identity).
The model is a ``Conv1d(1, 1, 1)`` with weight = ``[1.0]`` and no bias.
Loading this model in :class:`~src.dsp.nam_host.NAMHost` results in a
transparent pass-through — audio is not modified.
Parameters
----------
path : Path or None
Destination path. Defaults to ``~/.pedal/nam/default/pass_through.nam``.
Returns
-------
Path
The path the .nam file was written to.
"""
if path is None:
path = _DEFAULT_MODELS_DIR / "pass_through.nam"
path.parent.mkdir(parents=True, exist_ok=True)
with open(path, "w") as f:
json.dump(_NAM_PASSTHROUGH, f)
logger.info("Generated pass-through NAM model: %s", path)
return path
# ── Factory preset directories ────────────────────────────────────────────────
_BASE_DIRS = [
Path.home() / ".pedal",
Path.home() / ".pedal" / "presets",
Path.home() / ".pedal" / "irs",
Path.home() / ".pedal" / "nam",
]
def _ensure_base_dirs() -> None:
"""Create the base ``~/.pedal`` directory tree if it doesn't exist."""
for d in _BASE_DIRS:
d.mkdir(parents=True, exist_ok=True)
# ── Main entry point ──────────────────────────────────────────────────────────
def ensure_defaults_exist() -> bool:
"""Ensure all default directories, IRs, and NAM models exist on disk.
Creates the following if missing:
* ``~/.pedal/``, ``~/.pedal/presets/``, ``~/.pedal/irs/``, ``~/.pedal/nam/``
* ``~/.pedal/irs/default/default_ir.wav`` (exponentially-decaying impulse)
* ``~/.pedal/nam/default/pass_through.nam`` (Linear identity model)
Returns
-------
bool
``True`` if all resources exist or were successfully created.
"""
try:
_ensure_base_dirs()
# Generate default IR if it doesn't exist
default_ir_path = _DEFAULT_IRS_DIR / "default_ir.wav"
if not default_ir_path.exists():
generate_default_ir(default_ir_path)
else:
logger.debug("Default IR already exists: %s", default_ir_path)
# Generate pass-through NAM model if it doesn't exist
default_nam_path = _DEFAULT_MODELS_DIR / "pass_through.nam"
if not default_nam_path.exists():
generate_passthrough_nam(default_nam_path)
else:
logger.debug("Default NAM model already exists: %s", default_nam_path)
return True
except Exception as exc:
logger.warning("Failed to ensure defaults exist: %s", exc)
return False
# ── Standalone CLI ────────────────────────────────────────────────────────────
if __name__ == "__main__":
logging.basicConfig(level=logging.INFO)
ok = ensure_defaults_exist()
print(f"Defaults {'OK' if ok else 'FAILED'}")
print(f" IRs dir: {get_default_irs_dir()}")
print(f" Models dir: {get_default_models_dir()}")
if ok:
print(f" IR file: {'EXISTS' if (get_default_irs_dir() / 'default_ir.wav').exists() else 'MISSING'}")
print(f" NAM file: {'EXISTS' if (get_default_models_dir() / 'pass_through.nam').exists() else 'MISSING'}")