Files
SonicForgeStudio/app/core/render_engine.py
T
3dtours 2ab989132b fix(ui): wire Synth button to VST3 selection and render engine
- UI: setTrackInstrumentWithProgram stores instrumentId + enables MIDI type
- UI: SoundFont preset selection now passes soundfont_bank to server
- Server: render_engine reads instrument_id field (fallback instrument)
- Serialize/deserialize: soundfont_bank, soundfont_program preserved
- Rebuilt app.precompiled.js from app.jsx
2026-07-26 16:25:26 +07:00

370 lines
20 KiB
Python

import os
import numpy as np
import soundfile as sf
import scipy.signal as signal
from app.config import settings
from app.core.vst_engine import (
render_midi_events_to_audio,
PluginManager,
DecentSamplerManager,
HAS_PEDALBOARD,
HAS_PYFLUIDSYNTH,
)
if HAS_PEDALBOARD:
try:
from pedalboard import Pedalboard, Gain, Chorus, Reverb
except Exception:
HAS_PEDALBOARD = False
class PythonRenderEngine:
def __init__(self, sample_rate=44100):
self.sample_rate = sample_rate
def bars_to_samples(self, bars: float, bpm: float, time_sig_num: int) -> int:
seconds_per_beat = 60.0 / max(20.0, bpm)
seconds_per_bar = seconds_per_beat * time_sig_num
return int(bars * seconds_per_bar * self.sample_rate)
def resolve_file_path(self, url_or_id: str) -> str:
if not url_or_id:
return ""
base = os.path.basename(url_or_id)
# Check uploads directory
p_uploads = os.path.join(settings.UPLOADS_DIR, base)
if os.path.exists(p_uploads):
return p_uploads
# Check processed directory
p_processed = os.path.join(settings.PROCESSED_DIR, base)
if os.path.exists(p_processed):
return p_processed
# Check general storage directory
p_storage = os.path.join(settings.STORAGE_DIR, base)
if os.path.exists(p_storage):
return p_storage
# Direct check
if os.path.exists(url_or_id):
return url_or_id
return url_or_id
def render_session_container(self, session: dict, section_store: dict, bpm: float, time_sig_num: int, total_samples: int) -> np.ndarray:
session_buffer = np.zeros((2, total_samples), dtype=np.float32)
_channel_counter = 0
for track in session.get("tracks", []):
track_type = track.get("type", "AUDIO")
track_buffer = np.zeros((2, total_samples), dtype=np.float32)
soundfont_bank = track.get("soundfont_bank", 0)
soundfont_program = track.get("soundfont_program", 0)
is_percussion = track.get("is_percussion", False) or (soundfont_bank == 128)
midi_channel = 9 if is_percussion else (_channel_counter % 9)
if not is_percussion:
_channel_counter += 1
for item in track.get("items", []):
start_sample = self.bars_to_samples(item["start_bar"], bpm, time_sig_num)
dur_samples = self.bars_to_samples(item["duration_bars"], bpm, time_sig_num)
offset_sample = self.bars_to_samples(item["clip_start_offset_bars"], bpm, time_sig_num)
item_type = item.get("type")
if item_type == "AUDIO_ITEM":
source_data = item.get("source_data", {})
audio_url = source_data.get("audio_file_url", "")
resolved_path = self.resolve_file_path(audio_url)
if resolved_path and os.path.exists(resolved_path):
try:
audio_data, sr = sf.read(resolved_path, dtype='float32')
if sr != self.sample_rate:
# Resampling fallback if simple, otherwise skip
pass
# Handle channel mapping (Mono/Stereo)
if len(audio_data.shape) == 1:
audio_data = np.vstack([audio_data, audio_data])
else:
audio_data = audio_data.T # Shape: (channels, samples)
# Trim source offset & duration
src_len = audio_data.shape[1]
if offset_sample < src_len:
actual_dur = min(dur_samples, src_len - offset_sample)
sliced_audio = audio_data[:, offset_sample : offset_sample + actual_dur]
# Apply gain
gain_val = source_data.get("gain", 1.0)
sliced_audio = sliced_audio * gain_val
# Write to track buffer with boundaries
write_end = min(start_sample + sliced_audio.shape[1], total_samples)
actual_len = write_end - start_sample
if actual_len > 0:
track_buffer[:, start_sample:write_end] += sliced_audio[:, :actual_len]
except Exception as e:
print(f"[RenderEngine] Error reading audio file {resolved_path}: {e}")
elif item_type == "MIDI_ITEM":
source_data = item.get("source_data", {})
notes = source_data.get("notes", [])
# Convert to midi events required by vst_engine
midi_events = []
for note in notes:
note_start_bar = note["start_beat"] / time_sig_num
# Filter notes within the non-destructive visible window
offset_bar = item["clip_start_offset_bars"]
dur_bar = item["duration_bars"]
if note_start_bar >= offset_bar and note_start_bar < (offset_bar + dur_bar):
rel_bar_in_item = note_start_bar - offset_bar
target_global_bar = item["start_bar"] + rel_bar_in_item
midi_events.append({
"note": note["pitch"],
"start_beat": target_global_bar * time_sig_num,
"duration_beats": note["duration_beats"],
"velocity": int(note.get("velocity", 0.8) * 127)
})
if midi_events:
try:
instrument_id = track.get("instrument_id", "") or track.get("instrument", "")
plugin_mgr = PluginManager()
vst = plugin_mgr.load_vst(instrument_id) if instrument_id else None
instrument_source = track.get("instrument_source", "soundfont")
if instrument_source == "pianobook":
dspreset_path = track.get("dspreset_path", "")
if dspreset_path and os.path.exists(dspreset_path) and HAS_PEDALBOARD:
from pedalboard import Pedalboard
ds_manager = DecentSamplerManager()
try:
vst = ds_manager.create_decent_sampler_instance(dspreset_path)
midi_messages = PluginManager.midi_events_to_messages(
midi_events, bpm, self.sample_rate
)
total_needed = 0
for ev in midi_events:
end_sec = (ev.get("start_beat", 0) + ev.get("duration_beats", 1)) * (60.0 / bpm)
dur_samples = int(end_sec * self.sample_rate)
if dur_samples > total_needed:
total_needed = dur_samples
total_needed = max(total_needed, 1024)
silent = np.zeros((2, total_needed), dtype=np.float32)
board = Pedalboard([vst])
synth_buffer = board(silent, sample_rate=self.sample_rate, midi_messages=midi_messages)
except Exception as e:
print(f"[RenderEngine] DecentSampler/Pianobook error: {e}")
synth_buffer = render_midi_events_to_audio(
midi_events=midi_events, sr=self.sample_rate, bpm=bpm, instrument='synth'
)
else:
synth_buffer = render_midi_events_to_audio(
midi_events=midi_events, sr=self.sample_rate, bpm=bpm, instrument='synth'
)
elif vst and HAS_PEDALBOARD:
from pedalboard import Pedalboard
# Convert MIDI events with precise sample offset
midi_messages = PluginManager.midi_events_to_messages(
midi_events, bpm, self.sample_rate,
bank=soundfont_bank, program=soundfont_program
)
total_needed = 0
for ev in midi_events:
end_sec = (ev.get("start_beat", 0) + ev.get("duration_beats", 1)) * (60.0 / bpm)
dur_samples = int(end_sec * self.sample_rate)
if dur_samples > total_needed:
total_needed = dur_samples
total_needed = max(total_needed, 1024)
silent = np.zeros((2, total_needed), dtype=np.float32)
board = Pedalboard([vst])
synth_buffer = board(silent, sample_rate=self.sample_rate, midi_messages=midi_messages)
elif instrument_id and instrument_id.startswith("sf_"):
sf_path = os.path.join(
os.path.dirname(os.path.dirname(__file__)), "static", "soundfonts",
instrument_id.replace("sf_", "") + ".sf2"
)
if os.path.exists(sf_path) and HAS_PYFLUIDSYNTH:
import fluidsynth
fl = fluidsynth.FluidSynth(sample_rate=self.sample_rate, gain=0.5)
fid = fl.sfload(sf_path)
fl.program_select(midi_channel, fid, soundfont_bank, soundfont_program)
beat_sec = 60.0 / bpm
total_sec = 0
for ev in midi_events:
end_sec = (ev.get("start_beat", 0) + ev.get("duration_beats", 1)) * beat_sec
if end_sec > total_sec:
total_sec = end_sec
total_samples = int((total_sec + 1.0) * self.sample_rate)
midi_data = np.zeros((2, total_samples), dtype=np.float32)
for ev in midi_events:
note = ev.get("note", 60)
velocity = ev.get("velocity", 100)
start_beat = ev.get("start_beat", 0.0)
dur_beats = ev.get("duration_beats", 1.0)
start_sec = start_beat * beat_sec
dur_sec = dur_beats * beat_sec
fl.noteon(midi_channel, note, velocity)
start_s = int(start_sec * self.sample_rate)
dur_s = int(dur_sec * self.sample_rate)
block = fl.get_samples(int(dur_s)) if hasattr(fl, 'get_samples') else np.zeros((2, dur_s), dtype=np.float32)
fl.noteoff(midi_channel, note)
if block.shape[1] > 0:
end_s = min(start_s + block.shape[1], total_samples)
actual = end_s - start_s
if actual > 0:
midi_data[:, start_s:end_s] += block[:, :actual]
synth_buffer = midi_data
fl.delete()
else:
synth_buffer = render_midi_events_to_audio(
midi_events=midi_events, sr=self.sample_rate, bpm=bpm, instrument='synth'
)
else:
synth_buffer = render_midi_events_to_audio(
midi_events=midi_events, sr=self.sample_rate, bpm=bpm, instrument='synth'
)
actual_len = min(synth_buffer.shape[1], total_samples)
track_buffer[:, :actual_len] += synth_buffer[:, :actual_len]
except Exception as e:
print(f"[RenderEngine] Error rendering MIDI: {e}")
elif item_type == "SECTION_ITEM":
source_data = item.get("source_data", {})
sec_id = source_data.get("referenced_section_id", "")
if sec_id and sec_id in section_store:
# Render nested section recursively
sec_container = section_store[sec_id]
sec_buffer = self.render_session_container(
session=sec_container,
section_store=section_store,
bpm=bpm,
time_sig_num=time_sig_num,
total_samples=total_samples
)
# Apply non-destructive crop/slicing on section buffer
if offset_sample < total_samples:
actual_dur = min(dur_samples, total_samples - offset_sample)
sliced_sec = sec_buffer[:, offset_sample : offset_sample + actual_dur]
# Write to track buffer
write_end = min(start_sample + sliced_sec.shape[1], total_samples)
actual_len = write_end - start_sample
if actual_len > 0:
track_buffer[:, start_sample:write_end] += sliced_sec[:, :actual_len]
# Apply Track Gain (via Pedalboard or fallback)
vol_db = track.get("volume_db", 0.0)
pan = track.get("pan", 0.0)
mute = track.get("mute", False)
if mute:
continue
# Apply Track FX (Chorus or Reverb)
fx_type = track.get("fx_type")
if fx_type == "chorus":
if HAS_PEDALBOARD:
try:
board = Pedalboard([Chorus(rate_hz=1.5, depth=0.25)])
track_buffer = board(track_buffer, sample_rate=self.sample_rate)
except Exception as e:
print(f"[RenderEngine] Pedalboard Chorus failed: {e}")
else:
# Fallback chorus using simple LFO delay modulation in scipy/numpy
try:
# 1.5 Hz sine LFO, modulating delay time between 15ms and 25ms (average 20ms)
lfo = 0.020 + 0.005 * np.sin(2 * np.pi * 1.5 * np.arange(total_samples) / self.sample_rate)
dry = track_buffer * 0.6
wet = np.zeros_like(track_buffer)
for ch in range(2):
indices = np.arange(total_samples) - (lfo * self.sample_rate)
indices = np.clip(indices, 0, total_samples - 1).astype(np.int32)
wet[ch, :] = track_buffer[ch, indices]
track_buffer = dry + wet * 0.5
except Exception as e:
print(f"[RenderEngine] Fallback Chorus failed: {e}")
elif fx_type == "reverb":
if HAS_PEDALBOARD:
try:
board = Pedalboard([Reverb(room_size=0.5, wet_level=0.4, dry_level=0.6)])
track_buffer = board(track_buffer, sample_rate=self.sample_rate)
except Exception as e:
print(f"[RenderEngine] Pedalboard Reverb failed: {e}")
else:
# Fallback reverb using exponentially decaying noise room impulse response
try:
# Generate impulse response (decaying noise)
len_ir = int(self.sample_rate * 2.0)
t_ir = np.arange(len_ir) / self.sample_rate
decay = np.exp(-t_ir / 0.5)
ir_l = (np.random.rand(len_ir) * 2 - 1) * decay
ir_r = (np.random.rand(len_ir) * 2 - 1) * decay
dry = track_buffer * 0.6
wet = np.zeros_like(track_buffer)
for ch in range(2):
ir = ir_l if ch == 0 else ir_r
# Convolve
conv = signal.convolve(track_buffer[ch, :], ir, mode='full')[:total_samples]
wet[ch, :] = conv
track_buffer = dry + wet * 0.4
except Exception as e:
print(f"[RenderEngine] Fallback Reverb failed: {e}")
# Process track volume
if HAS_PEDALBOARD:
try:
board = Pedalboard([Gain(gain_db=vol_db)])
processed_track = board(track_buffer, sample_rate=self.sample_rate)
except Exception:
gain_linear = 10 ** (vol_db / 20.0)
processed_track = track_buffer * gain_linear
else:
gain_linear = 10 ** (vol_db / 20.0)
processed_track = track_buffer * gain_linear
# Apply Track Pan
if pan != 0.0:
# Constant power panning
theta = ((np.clip(pan, -1.0, 1.0) + 1.0) / 2.0) * (np.pi / 2.0)
processed_track[0, :] *= np.cos(theta)
processed_track[1, :] *= np.sin(theta)
# Mix track to session
session_buffer += processed_track
return session_buffer
def render_project(self, project_json: dict, output_filepath: str):
bpm = project_json["metadata"]["bpm"]
time_sig_num = project_json["metadata"].get("time_signature_numerator", 4)
main_session = project_json["main_session"]
section_store = project_json.get("section_store", {})
# Compute total project samples
total_bars = main_session.get("length_bars", 16.0)
total_samples = self.bars_to_samples(total_bars, bpm, time_sig_num)
# Render main session
master_buffer = self.render_session_container(
session=main_session,
section_store=section_store,
bpm=bpm,
time_sig_num=time_sig_num,
total_samples=total_samples
)
# Normalization to prevent clipping
max_peak = np.max(np.abs(master_buffer))
if max_peak > 1.0:
master_buffer /= max_peak
# Write final output file
sf.write(output_filepath, master_buffer.T, self.sample_rate)
return output_filepath