Files
product-vamp/generator/vocabulary.py
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khodowany 68df7292ee Cleanup
2026-10-04 17:14:13 -05:00

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5.0 KiB
Python

"""Versioned production vocabulary. This module never reads audition inputs."""
from __future__ import annotations
import contextlib
import contextvars
import dataclasses
import functools
import hashlib
import json
from pathlib import Path
from fractions import Fraction as F
ROOT = Path(__file__).resolve().parents[1] / 'data' / 'composition'
ACTIVE = contextvars.ContextVar('composition_vocabulary', default=None)
def load(root=ROOT):
# Content, not just the directory, keys memoization. Long-lived individual
# role builds must observe edited production data without restarting Python.
names = ('roles', 'grammar', 'harmony', 'lead_ins', 'rhythms', 'melodic_vocabulary')
return _load(tuple((name, (Path(root)/(name+'.json')).read_text()) for name in names))
@functools.lru_cache(maxsize=16)
def _load(contents):
result = {}
for name, text in contents:
value = json.loads(text)
if value.get('version') != 1 or not value.get('provenance') or not value.get('license'):
raise ValueError(f'{name}: unsupported or unprovenanced production vocabulary')
entries = value.get('cells', value.get('patterns', value.get('colors', value.get('transformations', []))))
if len({v['id'] for v in entries}) != len(entries):
raise ValueError(f'{name}: duplicate vocabulary ID')
result[name] = value
cells=result['rhythms']['cells']+result['melodic_vocabulary']['cells']
if len({c['id'] for c in cells})!=len(cells):
raise ValueError('Duplicate rhythmic identity across production vocabularies')
for c in cells:
if c['purpose'] not in ('entrance','continue','connect','answer','arrival'):
raise ValueError(c['id']+': unknown rhythmic purpose')
paths=result['melodic_vocabulary']['chord_paths']
if len({p['id'] for p in paths})!=len(paths):raise ValueError('Duplicate chord-path operator')
for p in paths:
if p['direction'] not in ('up','down','toward') or p['members'] not in ('basic','defining'):
raise ValueError(p['id']+': invalid chord traversal')
if not p['member_steps'] or any(type(s)!=int or not 1<=abs(s)<=3 for s in p['member_steps']):
raise ValueError(p['id']+': invalid chord-member step')
if not p['prefix_attacks'] or any(n not in (2,3,4) for n in p['prefix_attacks']) or not 1<=p['max_interval']<=12:
raise ValueError(p['id']+': unsupported bounded chord prefix')
gestures=result['melodic_vocabulary']['gesture_rules']
if len({g['id'] for g in gestures})!=len(gestures):raise ValueError('Duplicate joint gesture rule')
for g in gestures:
if g['kind'] not in ('harmonic_arrival','sustained_color'):raise ValueError(g['id']+': unsupported joint gesture')
if g['kind']=='harmonic_arrival':
if not g['arrival_offsets'] or any(abs(F(v))>F(result['harmony']['anticipation_max']) for v in g['arrival_offsets']):raise ValueError(g['id']+': arrival outside bounded policy')
if not g['holds'] or any(F(v)<=0 for v in g['holds']) or F(g['release'])<0:raise ValueError(g['id']+': invalid sounding interval')
return result
@functools.lru_cache(maxsize=1)
def _default():
return {'data': load(), 'role': '', 'settings': {}}
def current():
return ACTIVE.get() or _default()
def data(name):
return current()['data'][name]
def role(name=None):
active = current()
name = name or active['role']
return {**active['data']['roles']['roles'].get(name, {}), **active['settings']}
@contextlib.contextmanager
def using(resources, name, settings=None):
token = ACTIVE.set({'data': resources, 'role': name, 'settings': settings or {}})
try:
yield
finally:
ACTIVE.reset(token)
def fingerprint(value):
return hashlib.sha256(json.dumps(value, sort_keys=True, separators=(',', ':')).encode()).hexdigest()
@dataclasses.dataclass(frozen=True)
class RhythmCell:
id: str
pattern: tuple
duration: F
purpose: str
difficulty: str | None = None
subdivision: str = 'binary'
entry: str = 'attack'
exit: str = 'continue'
def rhythm_cells(tempo, purpose=None):
limits = data('roles')['difficulty']
for cell in (*data('rhythms')['cells'],*data('melodic_vocabulary')['cells']):
if purpose is not None and cell['purpose'] != purpose:
continue
difficulty = cell.get('difficulty')
if difficulty and tempo > limits[difficulty + '_max_bpm']:
continue
cursor, notes = F(), []
for value in cell['values']:
rest = value.startswith('r:')
duration = F(value[2:] if rest else value)
if duration <= 0:
raise ValueError(cell['id'] + ': nonpositive rhythm duration')
if not rest:
notes.append((cursor, cursor + duration))
cursor += duration
if difficulty and len(notes) > limits['burst_attacks']:
continue
from generator.solo import groups
realized=groups.describe(tuple(notes),source=cell['id'])
family=cell.get('subdivision','binary')
if family=='triplet' and not any(g.family=='triplet' for g in realized):raise ValueError(cell['id']+': missing complete tuplet group')
yield RhythmCell(cell['id'],tuple(notes),cursor,cell['purpose'],difficulty,family,cell.get('entry','attack'),cell.get('exit','continue'))