initial: code-sinth — DSL-driven modular synth (Python engine + web app)

Patch language with osc/noise/trig/seq/adsr/filter/delay/poly + voice templates
and inline live values. Two runtimes:

- code_sinth/ — Python engine (numpy + sounddevice). Hot-reload via mtime
  watcher. Offline render to WAV. Static-HTTP+WS visualizer (viz/) that
  injects waveforms next to each `node X = ...` line.
- web/ — port of the engine to JS running in AudioWorklet. Single static
  page with CodeMirror 6 editor (line widgets for live waveforms) and a
  control surface on the right with knobs/faders/step_seq/piano_roll
  declared from the patch. State preserved across hot-reload.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
Jose Luis Montañes
2026-05-01 17:37:06 +02:00
commit 7debc7436e
19 changed files with 3260 additions and 0 deletions

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code_sinth/__init__.py Normal file
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from .parser import parse
from .graph import build_graph
from .engine import Engine
__all__ = ['parse', 'build_graph', 'Engine']

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code_sinth/engine.py Normal file
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import os
import time
import numpy as np
from .graph import topo_sort
# State-bearing attributes for each Node type. Used by transfer_state() to keep
# phase / time / filter memory continuous across hot-reloads.
STATE_ATTRS = {
'Osc': ('phase',),
'Trig': ('t',),
'Seq': ('t',),
'Adsr': ('state', 'value', 'last_gate', 'release_start'),
'Filter': ('x1', 'x2', 'y1', 'y2'),
'Delay': ('buffer', 'size', 'write_idx'),
'Poly': ('t', 'last_step'),
}
def transfer_state(old_graph, new_graph):
"""Copy state from old.named[name] to new.named[name] when the class matches.
Returns count of nodes whose state was preserved."""
n = 0
for name, new_node in new_graph.named.items():
old_node = old_graph.named.get(name)
if old_node is None or type(old_node) is not type(new_node):
continue
attrs = STATE_ATTRS.get(type(new_node).__name__)
if not attrs:
continue
for a in attrs:
if hasattr(old_node, a):
setattr(new_node, a, getattr(old_node, a))
n += 1
return n
class Engine:
def __init__(self, graph=None, sr=48000, block_size=512, gain=0.3):
self.sr = sr
self.block_size = block_size
self.gain = gain
# `live` is a single tuple (graph, order). Replacing it is one atomic ref-store
# under the GIL, which is enough to swap from the audio callback's point of view.
self.live = None
# Per-block snapshot of named-node output buffers, replaced atomically each block.
# Readers (e.g. WS thread) see either the pre- or post-block dict, never a torn one.
self.taps_snapshot = {}
# Latest patch source loaded into the engine. Updated by watch_and_reload.
self.current_patch_text = ''
if graph is not None:
self.set_graph(graph)
@property
def graph(self):
return self.live[0] if self.live is not None else None
def set_graph(self, graph, preserve_from=None):
n_kept = 0
if preserve_from is not None:
n_kept = transfer_state(preserve_from, graph)
order = topo_sort(graph.all)
self.live = (graph, order)
return n_kept
def render_block(self, n):
graph, order = self.live # snapshot — survives a mid-block swap
for node in order:
node.output_buffer = node.process(n, self.sr)
# Cheap snapshot of named-node outputs (refs only — process() returns a fresh
# array each block so old refs stay valid until GC). Single dict-ref swap.
self.taps_snapshot = {name: node.output_buffer
for name, node in graph.named.items()
if node.output_buffer is not None}
return graph.out.output_buffer
def render_offline(self, duration_s):
if self.live is None:
raise RuntimeError('No graph set. Pass graph= to Engine() or call set_graph().')
total = int(duration_s * self.sr)
out = np.zeros(total, dtype=np.float32)
offset = 0
while offset < total:
n = min(self.block_size, total - offset)
out[offset:offset + n] = self.render_block(n) * self.gain
offset += n
return out
def _audio_callback(self, outdata, frames, time_info, status):
if status:
print(f'[stream] {status}', flush=True)
offset = 0
while offset < frames:
n = min(self.block_size, frames - offset)
block = self.render_block(n) * self.gain
outdata[offset:offset + n, 0] = block
if outdata.shape[1] > 1:
outdata[offset:offset + n, 1] = block
offset += n
def run(self, duration_s):
import sounddevice as sd
if self.live is None:
raise RuntimeError('No graph set.')
with sd.OutputStream(samplerate=self.sr, channels=2,
callback=self._audio_callback,
blocksize=self.block_size, dtype='float32'):
sd.sleep(int(duration_s * 1000))
def watch_and_reload(self, patch_path, build_fn, poll_interval=0.15, stop_event=None):
"""Poll patch_path's mtime; on change, parse+build+swap. Audio-agnostic.
Stops when stop_event (threading.Event) is set, or on KeyboardInterrupt."""
try:
last_mtime = os.path.getmtime(patch_path)
except FileNotFoundError:
last_mtime = 0
try:
while stop_event is None or not stop_event.is_set():
time.sleep(poll_interval)
try:
mt = os.path.getmtime(patch_path)
except FileNotFoundError:
continue
if mt == last_mtime:
continue
last_mtime = mt
try:
with open(patch_path, 'r', encoding='utf-8') as f:
src = f.read()
new_graph = build_fn(src)
except Exception as e:
print(f'[reload error] {type(e).__name__}: {e}')
continue
n_kept = self.set_graph(new_graph, preserve_from=self.graph)
self.current_patch_text = src
ts = time.strftime('%H:%M:%S')
print(f'[{ts}] reloaded ({n_kept} nodes kept state)')
except KeyboardInterrupt:
pass
def run_live(self, patch_path, build_fn, poll_interval=0.15):
"""Play indefinitely, hot-reloading patch_path whenever its mtime changes.
build_fn(src_text) -> Graph. Ctrl+C to stop. Reload errors are reported
on stdout; the previous graph keeps playing."""
import sounddevice as sd
if self.live is None:
raise RuntimeError('No graph set.')
print(f'[live] watching {patch_path} (Ctrl+C to stop)')
with sd.OutputStream(samplerate=self.sr, channels=2,
callback=self._audio_callback,
blocksize=self.block_size, dtype='float32'):
self.watch_and_reload(patch_path, build_fn, poll_interval)
print('\n[live] stopping')

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from .nodes import Const, BinOpNode, Negate, NODE_REGISTRY, SYMBOLIC_ARGS
from .parser import Number, Ident, Call, BinOp, UnaryOp, NodeDecl, OutDecl, ListExpr, VoiceDecl
# Patch-language kwargs that collide with Python keywords get renamed before
# being passed into Node constructors.
KWARG_RENAME = {'in': 'in_'}
class Graph:
def __init__(self):
self.named = {}
self.all = []
self.out = None
self.voice_templates = {} # name -> body (list of stmts)
def add(self, node):
self.all.append(node)
return node
class VoiceInstance:
"""One independently-stateful copy of a voice template. Owned and processed by Poly."""
def __init__(self, freq_slot, gate_slot, order, output):
self.freq_slot = freq_slot
self.gate_slot = gate_slot
self.order = order
self.output = output
self.gate_off_at = -1.0 # absolute time at which to release gate; -1 = idle
self.last_on_at = -1.0 # for LRU voice stealing
def build_voice_instance(template_body):
"""Instantiate a fresh sub-graph from a voice template. Returns a VoiceInstance whose
freq_slot and gate_slot are mutable Const nodes controlled by the Poly node."""
sub = Graph()
freq_slot = sub.add(Const(440.0))
gate_slot = sub.add(Const(0.0))
sub.named['freq'] = freq_slot
sub.named['gate'] = gate_slot
for stmt in template_body:
if isinstance(stmt, NodeDecl):
node = build_expr(sub, stmt.expr)
if stmt.name in sub.named:
raise ValueError(f'Duplicate node name in voice: {stmt.name!r}')
sub.named[stmt.name] = node
elif isinstance(stmt, OutDecl):
sub.out = build_expr(sub, stmt.expr)
else:
raise ValueError(f'voice body cannot contain {type(stmt).__name__}')
if sub.out is None:
raise ValueError('voice block missing "out <- ..." declaration')
order = topo_sort(sub.all)
return VoiceInstance(freq_slot, gate_slot, order, sub.out)
def build_arg(g, expr):
"""Like build_expr, but lists become Python lists of literal floats."""
if isinstance(expr, ListExpr):
items = []
for item in expr.items:
if isinstance(item, Number):
items.append(item.value)
elif isinstance(item, UnaryOp) and item.op == '-' and isinstance(item.operand, Number):
items.append(-item.operand.value)
else:
raise ValueError('List elements must be numeric literals')
return items
return build_expr(g, expr)
def build_call(g, call):
func = call.func
if func == 'poly':
return build_poly(g, call)
if func not in NODE_REGISTRY:
raise ValueError(f'Unknown node function: {func!r}')
cls = NODE_REGISTRY[func]
symbolic = SYMBOLIC_ARGS.get(func, [])
args = []
for i, arg in enumerate(call.args):
if i in symbolic:
if not isinstance(arg, Ident):
raise ValueError(f'Argument {i} of {func}() must be a bare symbol')
args.append(arg.name)
else:
args.append(build_arg(g, arg))
kwargs = {KWARG_RENAME.get(k, k): build_arg(g, v) for k, v in call.kwargs.items()}
return g.add(cls(*args, **kwargs))
def build_poly(g, call):
"""poly(voice=NAME, voices=N, rate=R, gate_duration=GD, notes=[...]) — special-cased
because it needs the voice template AST and instantiates sub-graphs."""
from .nodes import Poly
kw = call.kwargs
voice_arg = kw.get('voice')
if not isinstance(voice_arg, Ident):
raise ValueError('poly() requires voice=<voice_template_name>')
if voice_arg.name not in g.voice_templates:
raise ValueError(f'Unknown voice template: {voice_arg.name!r}')
voice_body = g.voice_templates[voice_arg.name]
voices_arg = kw.get('voices')
if not isinstance(voices_arg, Number):
raise ValueError('poly(voices=) must be a literal integer')
n_voices = int(voices_arg.value)
if n_voices < 1:
raise ValueError('poly(voices=) must be >= 1')
if 'rate' not in kw or 'gate_duration' not in kw or 'notes' not in kw:
raise ValueError('poly() requires rate=, gate_duration=, notes=')
rate_node = build_expr(g, kw['rate'])
gd_node = build_expr(g, kw['gate_duration'])
notes_arg = kw['notes']
if not isinstance(notes_arg, ListExpr):
raise ValueError('poly(notes=) must be a list literal')
notes = build_arg(g, notes_arg)
instances = [build_voice_instance(voice_body) for _ in range(n_voices)]
return g.add(Poly(rate_node, gd_node, instances, notes))
def build_expr(g, expr):
if isinstance(expr, Number):
return g.add(Const(expr.value))
if isinstance(expr, Ident):
if expr.name not in g.named:
raise ValueError(f'Unknown node reference: {expr.name!r}')
return g.named[expr.name]
if isinstance(expr, Call):
return build_call(g, expr)
if isinstance(expr, BinOp):
return g.add(BinOpNode(expr.op,
build_expr(g, expr.left),
build_expr(g, expr.right)))
if isinstance(expr, UnaryOp):
return g.add(Negate(build_expr(g, expr.operand)))
raise ValueError(f'Unknown expression node: {type(expr).__name__}')
def build_graph(statements):
g = Graph()
# Voice declarations first (they can be referenced from any order in the source).
for stmt in statements:
if isinstance(stmt, VoiceDecl):
if stmt.name in g.voice_templates:
raise ValueError(f'Duplicate voice template: {stmt.name!r}')
g.voice_templates[stmt.name] = stmt.body
for stmt in statements:
if isinstance(stmt, VoiceDecl):
continue
if isinstance(stmt, NodeDecl):
node = build_expr(g, stmt.expr)
if stmt.name in g.named:
raise ValueError(f'Duplicate node name: {stmt.name!r}')
g.named[stmt.name] = node
elif isinstance(stmt, OutDecl):
g.out = build_expr(g, stmt.expr)
else:
raise ValueError(f'Unknown statement: {type(stmt).__name__}')
if g.out is None:
raise ValueError('No "out <- ..." declaration found in patch')
return g
def topo_sort(nodes):
visited = set()
order = []
def visit(node):
if id(node) in visited:
return
visited.add(id(node))
for inp in node.inputs:
visit(inp)
order.append(node)
for node in nodes:
visit(node)
return order

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import numpy as np
class Node:
def __init__(self):
self.inputs = []
self.output_buffer = None
def process(self, n, sr):
raise NotImplementedError
class Const(Node):
def __init__(self, value):
super().__init__()
self.value = float(value)
def process(self, n, sr):
return np.full(n, self.value, dtype=np.float32)
class Osc(Node):
WAVEFORMS = ('sine', 'saw', 'square', 'tri')
def __init__(self, waveform, freq):
super().__init__()
if waveform not in self.WAVEFORMS:
raise ValueError(f'Unknown waveform: {waveform!r}')
self.waveform = waveform
self.freq = freq
self.inputs = [freq]
self.phase = 0.0
def process(self, n, sr):
freq = self.freq.output_buffer
phase_inc = freq / sr
phases = self.phase + np.cumsum(phase_inc)
self.phase = float(phases[-1] % 1.0)
p = phases % 1.0
if self.waveform == 'sine':
out = np.sin(2.0 * np.pi * p)
elif self.waveform == 'saw':
out = 2.0 * p - 1.0
elif self.waveform == 'square':
out = np.where(p < 0.5, 1.0, -1.0)
else: # tri
out = 4.0 * np.abs(p - 0.5) - 1.0
return out.astype(np.float32)
class Trig(Node):
"""Periodic gate: high for `duration` seconds every `period` seconds, starting at t=0."""
def __init__(self, period, duration):
super().__init__()
self.period = period
self.duration = duration
self.inputs = [period, duration]
self.t = 0.0
def process(self, n, sr):
period = float(self.period.output_buffer[0])
duration = float(self.duration.output_buffer[0])
dt = 1.0 / sr
times = self.t + np.arange(n, dtype=np.float64) * dt
self.t = float(times[-1] + dt)
phase = np.mod(times, period)
return (phase < duration).astype(np.float32)
class Adsr(Node):
def __init__(self, a, d, s, r, gate):
super().__init__()
self.a, self.d, self.s, self.r = a, d, s, r
self.gate = gate
self.inputs = [a, d, s, r, gate]
self.state = 'idle'
self.value = 0.0
self.last_gate = 0.0
self.release_start = 0.0
def process(self, n, sr):
a = float(self.a.output_buffer[0])
d = float(self.d.output_buffer[0])
s_lvl = float(self.s.output_buffer[0])
r = float(self.r.output_buffer[0])
gate = self.gate.output_buffer
att_inc = 1.0 / max(a * sr, 1.0)
dec_dec = (1.0 - s_lvl) / max(d * sr, 1.0)
rel_norm = 1.0 / max(r * sr, 1.0)
out = np.empty(n, dtype=np.float32)
for i in range(n):
g = gate[i]
if g > 0.5 and self.last_gate <= 0.5:
self.state = 'attack'
elif g <= 0.5 and self.last_gate > 0.5:
self.state = 'release'
self.release_start = self.value
self.last_gate = g
if self.state == 'attack':
self.value += att_inc
if self.value >= 1.0:
self.value = 1.0
self.state = 'decay'
elif self.state == 'decay':
self.value -= dec_dec
if self.value <= s_lvl:
self.value = s_lvl
self.state = 'sustain'
elif self.state == 'sustain':
self.value = s_lvl
elif self.state == 'release':
self.value -= rel_norm * self.release_start
if self.value <= 0.0:
self.value = 0.0
self.state = 'idle'
out[i] = self.value
return out
class Seq(Node):
"""Step sequencer: emits steps[i] held continuously, advancing at `rate` steps per second.
Pair with trig(period=1/rate) for a synced gate."""
def __init__(self, rate, steps):
super().__init__()
if not isinstance(steps, list) or not steps:
raise ValueError('seq() needs steps=[v1, v2, ...] with at least one element')
self.rate = rate
self.steps = np.asarray(steps, dtype=np.float32)
self.inputs = [rate]
self.t = 0.0
def process(self, n, sr):
rate = float(self.rate.output_buffer[0])
dt = 1.0 / sr
times = self.t + np.arange(n, dtype=np.float64) * dt
self.t = float(times[-1] + dt)
idx = (times * rate).astype(np.int64) % len(self.steps)
return self.steps[idx]
class Noise(Node):
"""White noise in [-1, 1]."""
def __init__(self, seed=None):
super().__init__()
seed_val = int(seed.value) if hasattr(seed, 'value') else None
self.rng = np.random.default_rng(seed_val)
def process(self, n, sr):
return (self.rng.random(n).astype(np.float32) * 2.0 - 1.0)
class Filter(Node):
"""RBJ biquad: lp / hp / bp. Coefficients recomputed per sample so cutoff and q can be audio-rate modulated."""
KINDS = ('lp', 'hp', 'bp')
def __init__(self, kind, in_, cutoff, q):
super().__init__()
if kind not in self.KINDS:
raise ValueError(f'Unknown filter kind: {kind!r}')
self.kind = kind
self.in_ = in_
self.cutoff = cutoff
self.q = q
self.inputs = [in_, cutoff, q]
self.x1 = self.x2 = 0.0
self.y1 = self.y2 = 0.0
def process(self, n, sr):
x_buf = self.in_.output_buffer
c_buf = self.cutoff.output_buffer
q_buf = self.q.output_buffer
out = np.empty(n, dtype=np.float32)
nyq = 0.499 * sr
kind = self.kind
x1, x2, y1, y2 = self.x1, self.x2, self.y1, self.y2
two_pi_over_sr = 2.0 * np.pi / sr
for i in range(n):
cutoff = float(c_buf[i])
if cutoff > nyq:
cutoff = nyq
elif cutoff < 1.0:
cutoff = 1.0
qv = float(q_buf[i])
if qv < 0.001:
qv = 0.001
w = two_pi_over_sr * cutoff
cw = np.cos(w)
sw = np.sin(w)
alpha = sw / (2.0 * qv)
if kind == 'lp':
b0 = (1.0 - cw) * 0.5
b1 = 1.0 - cw
b2 = b0
elif kind == 'hp':
b0 = (1.0 + cw) * 0.5
b1 = -(1.0 + cw)
b2 = b0
else: # bp
b0 = sw * 0.5
b1 = 0.0
b2 = -b0
a0 = 1.0 + alpha
a1 = -2.0 * cw
a2 = 1.0 - alpha
x0 = float(x_buf[i])
y0 = (b0 * x0 + b1 * x1 + b2 * x2 - a1 * y1 - a2 * y2) / a0
out[i] = y0
x2 = x1
x1 = x0
y2 = y1
y1 = y0
self.x1, self.x2, self.y1, self.y2 = x1, x2, y1, y2
return out
class Delay(Node):
"""Delay line with feedback. `time` in seconds, `feedback` 0..0.99, `mix` dry/wet 0..1.
`max_time` (literal) sets the buffer size; defaults to 2.0s."""
def __init__(self, in_, time, feedback, mix, max_time=2.0):
super().__init__()
self.in_ = in_
self.time = time
self.feedback = feedback
self.mix = mix
self.inputs = [in_, time, feedback, mix]
# max_time is treated as compile-time constant (sets buffer size).
self.max_t = float(max_time.value) if hasattr(max_time, 'value') else float(max_time)
self.buffer = None
self.size = 0
self.write_idx = 0
def process(self, n, sr):
if self.buffer is None:
self.size = max(int(self.max_t * sr), 1)
self.buffer = np.zeros(self.size, dtype=np.float32)
x = self.in_.output_buffer
t = float(self.time.output_buffer[0])
fb = float(self.feedback.output_buffer[0])
if fb > 0.99:
fb = 0.99
elif fb < 0.0:
fb = 0.0
mix = float(self.mix.output_buffer[0])
d = int(t * sr)
if d < 1:
d = 1
elif d >= self.size:
d = self.size - 1
out = np.empty(n, dtype=np.float32)
buf = self.buffer
size = self.size
w = self.write_idx
for i in range(n):
r = (w - d) % size
delayed = buf[r]
buf[w] = x[i] + fb * delayed
out[i] = (1.0 - mix) * x[i] + mix * delayed
w = (w + 1) % size
self.write_idx = w
return out
class BinOpNode(Node):
def __init__(self, op, a, b):
super().__init__()
self.op = op
self.a = a
self.b = b
self.inputs = [a, b]
def process(self, n, sr):
a = self.a.output_buffer
b = self.b.output_buffer
if self.op == '+':
return a + b
if self.op == '-':
return a - b
if self.op == '*':
return a * b
if self.op == '/':
return a / b
raise ValueError(self.op)
class Negate(Node):
def __init__(self, a):
super().__init__()
self.a = a
self.inputs = [a]
def process(self, n, sr):
return -self.a.output_buffer
class Poly(Node):
"""Polyphonic voice allocator. Holds N independent VoiceInstances and dispatches notes
from a step sequence at `rate` steps per second. Each note triggers an LRU voice for
`gate_duration` seconds. notes[i] == 0 is treated as a rest (no trigger)."""
def __init__(self, rate, gate_duration, instances, notes):
super().__init__()
self.rate = rate
self.gate_duration = gate_duration
self.instances = instances
self.notes = list(notes)
self.inputs = [rate, gate_duration]
self.t = 0.0
self.last_step = -1
def _alloc_voice(self):
# Pick the voice idle the longest (lowest last_on_at). If tie, first found.
best = self.instances[0]
for v in self.instances[1:]:
if v.last_on_at < best.last_on_at:
best = v
return best
def process(self, n, sr):
rate = float(self.rate.output_buffer[0])
gd = float(self.gate_duration.output_buffer[0])
# Trigger any step boundaries that fell into this block (catch up if multiple).
cur_step = int(self.t * rate)
while self.last_step < cur_step:
self.last_step += 1
note = self.notes[self.last_step % len(self.notes)]
if note > 0.0:
v = self._alloc_voice()
v.freq_slot.value = float(note)
v.gate_slot.value = 1.0
step_t = self.last_step / rate
v.gate_off_at = step_t + gd
v.last_on_at = step_t
# Release gates whose timeout has elapsed (block-rate granularity).
for v in self.instances:
if v.gate_off_at > 0.0 and self.t >= v.gate_off_at:
v.gate_slot.value = 0.0
v.gate_off_at = -1.0
# Render every voice's sub-graph and sum.
out = np.zeros(n, dtype=np.float32)
for v in self.instances:
for node in v.order:
node.output_buffer = node.process(n, sr)
out += v.output.output_buffer
self.t += n / sr
return out
NODE_REGISTRY = {
'osc': Osc,
'trig': Trig,
'adsr': Adsr,
'noise': Noise,
'filter': Filter,
'seq': Seq,
'delay': Delay,
}
# Positional arg indices that must be bare identifiers (treated as strings).
SYMBOLIC_ARGS = {
'osc': [0], # waveform name
'filter': [0], # filter kind
}

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import re
from dataclasses import dataclass
from typing import Any
@dataclass
class Number:
value: float
@dataclass
class Ident:
name: str
@dataclass
class Call:
func: str
args: list
kwargs: dict
@dataclass
class BinOp:
op: str
left: Any
right: Any
@dataclass
class UnaryOp:
op: str
operand: Any
@dataclass
class NodeDecl:
name: str
expr: Any
@dataclass
class OutDecl:
expr: Any
@dataclass
class ListExpr:
items: list
@dataclass
class VoiceDecl:
name: str
body: list # list of NodeDecl + OutDecl
TOKEN_SPEC = [
('NUMBER', r'\d+\.\d+|\d+'),
('ARROW', r'<-'),
('IDENT', r'[a-zA-Z_][a-zA-Z0-9_]*'),
('OP', r'[+\-*/=,()\[\]\{\}]'),
('NEWLINE', r'\r?\n'),
('SKIP', r'[ \t]+'),
('COMMENT', r'\#[^\n]*'),
('MISMATCH', r'.'),
]
TOKEN_RE = re.compile('|'.join(f'(?P<{n}>{p})' for n, p in TOKEN_SPEC))
KEYWORDS = {'node', 'out', 'voice'}
def tokenize(src):
tokens = []
for m in TOKEN_RE.finditer(src):
kind = m.lastgroup
val = m.group()
if kind in ('SKIP', 'COMMENT'):
continue
if kind == 'NEWLINE':
tokens.append(('NEWLINE', '\n'))
continue
if kind == 'MISMATCH':
raise SyntaxError(f'Unexpected character: {val!r}')
if kind == 'IDENT' and val in KEYWORDS:
tokens.append(('KW', val))
continue
if kind == 'NUMBER':
tokens.append(('NUMBER', float(val)))
continue
tokens.append((kind, val))
tokens.append(('EOF', None))
return tokens
class Parser:
def __init__(self, tokens):
self.tokens = tokens
self.i = 0
def peek(self, offset=0):
return self.tokens[self.i + offset]
def advance(self):
tok = self.tokens[self.i]
self.i += 1
return tok
def expect(self, kind, val=None):
tok = self.advance()
if tok[0] != kind or (val is not None and tok[1] != val):
raise SyntaxError(f'Expected {kind} {val!r}, got {tok!r}')
return tok
def skip_newlines(self):
while self.peek()[0] == 'NEWLINE':
self.advance()
def parse(self):
out = []
self.skip_newlines()
while self.peek()[0] != 'EOF':
out.append(self.parse_statement())
self.skip_newlines()
return out
def parse_statement(self):
tok = self.peek()
if tok == ('KW', 'node'):
self.advance()
name = self.expect('IDENT')[1]
self.expect('OP', '=')
return NodeDecl(name, self.parse_expr())
if tok == ('KW', 'out'):
self.advance()
self.expect('ARROW')
return OutDecl(self.parse_expr())
if tok == ('KW', 'voice'):
self.advance()
name = self.expect('IDENT')[1]
self.expect('OP', '{')
body = []
self.skip_newlines()
while self.peek() != ('OP', '}'):
inner = self.parse_statement()
if isinstance(inner, VoiceDecl):
raise SyntaxError('voice blocks cannot be nested')
body.append(inner)
self.skip_newlines()
self.expect('OP', '}')
return VoiceDecl(name, body)
raise SyntaxError(f'Unexpected token at start of statement: {tok!r}')
def parse_call_expr(self):
name = self.expect('IDENT')[1]
self.expect('OP', '(')
self.skip_newlines()
args, kwargs = [], {}
while self.peek() != ('OP', ')'):
first = self.peek()
# kwarg pattern: NAME = expr. NAME is normally IDENT, but we also let the
# 'voice' keyword be used as a kwarg key (poly(voice=...)).
is_kwarg_key = (
(first[0] == 'IDENT' or first == ('KW', 'voice'))
and self.peek(1) == ('OP', '=')
)
if is_kwarg_key:
key = self.advance()[1]
self.advance() # '='
kwargs[key] = self.parse_expr()
else:
args.append(self.parse_expr())
if self.peek() == ('OP', ','):
self.advance()
self.skip_newlines()
else:
break
self.skip_newlines()
self.expect('OP', ')')
return Call(name, args, kwargs)
def parse_expr(self):
return self.parse_addsub()
def parse_addsub(self):
left = self.parse_muldiv()
while self.peek() in (('OP', '+'), ('OP', '-')):
op = self.advance()[1]
left = BinOp(op, left, self.parse_muldiv())
return left
def parse_muldiv(self):
left = self.parse_unary()
while self.peek() in (('OP', '*'), ('OP', '/')):
op = self.advance()[1]
left = BinOp(op, left, self.parse_unary())
return left
def parse_unary(self):
if self.peek() == ('OP', '-'):
self.advance()
return UnaryOp('-', self.parse_atom())
return self.parse_atom()
def parse_atom(self):
tok = self.peek()
if tok[0] == 'NUMBER':
self.advance()
return Number(tok[1])
if tok[0] == 'IDENT':
if self.peek(1) == ('OP', '('):
return self.parse_call_expr()
self.advance()
return Ident(tok[1])
if tok == ('OP', '('):
self.advance()
self.skip_newlines()
e = self.parse_expr()
self.skip_newlines()
self.expect('OP', ')')
return e
if tok == ('OP', '['):
self.advance()
self.skip_newlines()
items = []
while self.peek() != ('OP', ']'):
items.append(self.parse_expr())
if self.peek() == ('OP', ','):
self.advance()
self.skip_newlines()
else:
break
self.skip_newlines()
self.expect('OP', ']')
return ListExpr(items)
raise SyntaxError(f'Unexpected token in expression: {tok!r}')
def parse(src):
return Parser(tokenize(src)).parse()

64
code_sinth/viz.py Normal file
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"""WebSocket + static-HTTP server for the live visualizer.
Push model: the WS handler polls engine.taps_snapshot at `fps` Hz and sends a
JSON frame to every connected client. The audio thread is never blocked — it
just replaces the snapshot dict ref each block.
Frame schema:
{ "sr": 48000,
"block_size": 512,
"patch": "<source text>",
"taps": { "<node-name>": [float, float, ...], ... } }
"""
import asyncio
import functools
import http.server
import json
import threading
def _serve_http(directory, port):
handler = functools.partial(http.server.SimpleHTTPRequestHandler, directory=directory)
server = http.server.ThreadingHTTPServer(('localhost', port), handler)
t = threading.Thread(target=server.serve_forever, daemon=True)
t.start()
return server
def _serve_ws(engine, port, fps):
import websockets
async def handler(ws):
try:
interval = 1.0 / fps
while True:
snap = engine.taps_snapshot or {}
# arr.tolist() is slow per-tap; OK for a proof. ~10 taps × 512 floats × 30 Hz
# is ~150k floats/sec, well under WS budget.
taps = {name: arr.tolist() for name, arr in snap.items()}
msg = {
'sr': engine.sr,
'block_size': engine.block_size,
'patch': engine.current_patch_text,
'taps': taps,
}
await ws.send(json.dumps(msg))
await asyncio.sleep(interval)
except websockets.exceptions.ConnectionClosed:
pass
async def run():
async with websockets.serve(handler, 'localhost', port):
await asyncio.Future() # serve forever
threading.Thread(target=lambda: asyncio.run(run()), daemon=True).start()
def serve(engine, viz_dir, http_port=9001, ws_port=9000, fps=30):
"""Start HTTP (static) + WS (taps) servers in background threads.
Returns the HTTP server so the caller can shut it down if desired."""
server = _serve_http(viz_dir, http_port)
_serve_ws(engine, ws_port, fps)
print(f'[viz] open http://localhost:{http_port}/ (ws://localhost:{ws_port})')
return server