Tha.Les
30788531b2
Adds a click track locked to a per-track beat grid, an editor for correcting that grid, an opt-in to include the click in exports, and a Settings > Logs tab. Detection uses beat_this (MIT code and weights) with librosa as an offline fallback, because librosa's 120 BPM tempo prior resolves a 180 BPM track to 90 and no confidence metric catches it. Click scheduling is locked to the engine's source time domain and measured at 0.000 ms error over 70 s of continuous playback.
565 lines
21 KiB
Python
565 lines
21 KiB
Python
from __future__ import annotations
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import json
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import wave
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import pytest
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from fastapi.testclient import TestClient
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from app.core.models import Job
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from app.core.registry import _jobs
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from app.pipeline.beatgrid import (
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_enforce_grid_consistency,
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_extend_to_track_edges,
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_grid_confidence,
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_sanitize,
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compute_beat_grid,
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)
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SR = 44100
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@pytest.fixture(autouse=True)
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def _isolate_registry():
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_jobs.clear()
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yield
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_jobs.clear()
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@pytest.fixture
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def stems_dir(tmp_path, monkeypatch):
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"""A stems dir that `_load_audio_ffmpeg`'s JOBS_DIR containment check accepts."""
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from app.pipeline import analyze as analyze_mod
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monkeypatch.setattr(analyze_mod, "JOBS_DIR", tmp_path)
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d = tmp_path / "abcdefabcdef" / "stems"
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d.mkdir(parents=True)
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return d
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def _write_hits_wav(path, beat_times: list[float], seconds: float, sr: int = SR) -> list[float]:
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"""Write a WAV with a drum-like hit at each given time.
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The timbre matters. An earlier version used alternating-sign bursts, which
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are broadband and transient but sound nothing like a kit -- and the shipping
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detector is a model trained on real drums, so bare bursts sit outside its
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training distribution and it performs far worse on them than on real audio
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(measured 242 ms worst error on a synthetic click ramp against 2 ms once the
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timbre was made realistic). A fixture that does not resemble the input
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domain tests the wrong thing.
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So each hit is a pitch-swept low sine with a noise component: a recognisable
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kick/snare attack. Deterministic (seeded per hit) so tests never flake.
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"""
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written = [t for t in beat_times if 0 <= t < seconds]
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_write_voiced_wav(path, [(t, "kick") for t in written], seconds, sr)
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return written
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def _write_voiced_wav(path, hits, seconds: float, sr: int = SR) -> None:
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"""Render (time, voice) pairs. Voices: kick, snare, hat. Deterministic."""
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import numpy as np
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total = int(seconds * sr)
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buf = np.zeros(total, dtype=np.float64)
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for t, voice in hits:
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if t >= seconds or t < 0:
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continue
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start = int(t * sr)
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dur, amp = {"kick": (0.18, 0.9), "snare": (0.14, 0.85), "hat": (0.05, 0.28)}[voice]
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length = min(int(dur * sr), total - start)
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if length <= 0:
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continue
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i = np.arange(length)
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rng = np.random.default_rng(int(t * 1000) % 9999)
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if voice == "kick":
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# Pitch sweep 110 Hz -> 45 Hz, the shape of a kick attack.
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freq = 110.0 * np.exp(-i / (0.03 * sr)) + 45.0
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body = np.sin(2 * np.pi * np.cumsum(freq) / sr) + rng.standard_normal(length) * 0.35
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decay = 0.045
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elif voice == "snare":
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body = rng.standard_normal(length) * 0.6 + np.sin(2 * np.pi * 190 * i / sr) * 0.4
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decay = 0.022
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else:
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body = rng.standard_normal(length)
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decay = 0.006
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buf[start : start + length] += body * np.exp(-i / (decay * sr)) * amp
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np.clip(buf, -1.0, 1.0, out=buf)
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pcm = (buf * 32767).astype("<i2")
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with wave.open(str(path), "wb") as w:
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w.setnchannels(1)
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w.setsampwidth(2)
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w.setframerate(sr)
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w.writeframes(pcm.tobytes())
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# Real audio never begins with a transient in sample 0, and spectral flux
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# physically cannot detect one there: the onset envelope's first frames are
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# identically zero because there is no earlier frame to difference against.
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# Starting the fixture at t=0 therefore asserts something no flux-based
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# implementation can satisfy (measured: the first beat lands 46 ms out while
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# every other beat is within 2 ms). The lead-in keeps the fixture honest.
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CLICK_LEAD_IN = 0.5
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def _write_kit_wav(path, beat_times: list[float], seconds: float, sr: int = SR) -> list[float]:
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"""A realistic kit pattern over the given beat grid.
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Kick on beats 1 and 3, snare on 2 and 4, and a hat on *every* eighth --
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including the on-beats. That last detail matters: with hats only between the
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beats, every eighth carries equal weight and the eighth-note pulse becomes a
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perfectly reasonable reading of the tempo (measured: a 100 BPM pattern
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detected as 199.9). Hats on the beats as well reinforce which pulse is the
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beat, which is what real playing does.
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A bare identical hit on every beat (what `_write_hits_wav` produces) is not
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music at all and leaves the phase unconstrained: on one such fixture the
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model locked onto the off-beat with zero onset support under the whole grid.
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"""
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hits: list[tuple[float, str]] = []
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for i, t in enumerate(beat_times):
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hits.append((t, "kick" if i % 4 in (0, 2) else "snare"))
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hits.append((t, "hat"))
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nxt = beat_times[i + 1] if i + 1 < len(beat_times) else None
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if nxt is not None:
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hits.append(((t + nxt) / 2.0, "hat"))
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_write_voiced_wav(path, hits, seconds, sr)
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return [t for t in beat_times if 0 <= t < seconds]
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def _write_click_wav(
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path, bpm: float, seconds: float, sr: int = SR, start: float = CLICK_LEAD_IN
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) -> list[float]:
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"""Constant-tempo click track, offset by a short lead-in."""
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interval = 60.0 / bpm
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n = int((seconds - start) / interval) + 2
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times = [start + i * interval for i in range(n)]
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return _write_hits_wav(path, times, seconds, sr)
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# --- _sanitize -------------------------------------------------------------
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def test_sanitize_sorts_and_clamps():
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assert _sanitize([3.0, 1.0, 2.0], duration=10.0) == [1.0, 2.0, 3.0]
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def test_sanitize_drops_out_of_range_and_non_finite():
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assert _sanitize([-1.0, 1.0, float("nan"), float("inf"), 99.0], duration=10.0) == [1.0]
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def test_sanitize_collapses_near_duplicates():
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# Two beats 0.5 ms apart cannot both be real; the scheduler needs strict
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# monotonicity, so the second is dropped.
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assert _sanitize([1.0, 1.0005, 2.0], duration=10.0) == [1.0, 2.0]
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def test_sanitize_empty():
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assert _sanitize([], duration=10.0) == []
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# --- _grid_confidence ------------------------------------------------------
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def test_confidence_full_when_every_beat_has_an_onset():
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beats = [0.0, 0.5, 1.0, 1.5]
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assert _grid_confidence(beats, beats, tol=0.05) == 100
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def test_confidence_zero_when_onsets_are_off_grid():
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beats = [0.0, 0.5, 1.0, 1.5]
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onsets = [0.25, 0.75, 1.25, 1.75] # exactly off-beat
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assert _grid_confidence(beats, onsets, tol=0.05) == 0
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def test_confidence_zero_without_onsets():
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assert _grid_confidence([0.0, 0.5], [], tol=0.05) == 0
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def test_confidence_half_time_grid_is_penalised():
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# Onsets every 0.25 s but a grid every 0.5 s still matches (subset), while
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# the reverse -- grid finer than the onsets -- is what scores badly.
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beats = [0.0, 0.25, 0.5, 0.75, 1.0]
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onsets = [0.0, 0.5, 1.0]
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assert _grid_confidence(beats, onsets, tol=0.02) == 60
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# --- _enforce_grid_consistency ---------------------------------------------
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def test_consistency_leaves_a_clean_grid_alone():
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beats = [i * 0.5 for i in range(10)]
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out, corrected = _enforce_grid_consistency(beats)
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assert corrected == 0
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assert out == pytest.approx(beats)
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def test_consistency_pulls_back_a_stray_interior_beat():
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beats = [i * 0.5 for i in range(10)]
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beats[4] = 2.09 # 90 ms off a 500 ms grid
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out, corrected = _enforce_grid_consistency(beats)
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assert corrected == 1
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assert out[4] == pytest.approx(2.0, abs=1e-9)
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def test_consistency_pulls_back_a_stray_first_beat():
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"""The real-world failure: beat_track reaching into a quiet intro."""
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beats = [i * 0.5 for i in range(10)]
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beats[0] = 0.09
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out, corrected = _enforce_grid_consistency(beats)
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assert corrected == 1
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assert out[0] == pytest.approx(0.0, abs=1e-9)
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def test_consistency_preserves_human_microtiming():
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"""A drummer pushing and dragging by ~20 ms is musical, not error."""
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beats = [i * 0.5 for i in range(12)]
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for i, shift in ((3, 0.018), (6, -0.021), (9, 0.015)):
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beats[i] += shift
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out, corrected = _enforce_grid_consistency(beats)
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assert corrected == 0
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assert out == pytest.approx(beats)
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def test_consistency_no_op_below_three_beats():
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assert _enforce_grid_consistency([1.0, 2.0]) == ([1.0, 2.0], 0)
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# --- _extend_to_track_edges ------------------------------------------------
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def test_extend_fills_intro_and_outro():
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# Grid covering 5.0 - 9.0 s of a 15 s track, 0.5 s beats.
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beats = [5.0 + i * 0.5 for i in range(9)]
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out, head, tail = _extend_to_track_edges(beats, duration=15.0, irregularity=0.01)
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assert head == 10, "should reach back to 0.0"
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assert tail == 12, "should reach forward to 15.0"
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assert out[0] == pytest.approx(0.0, abs=1e-9)
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assert out[-1] <= 15.0
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# Still one uniform grid, ascending, at the original tempo.
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diffs = [b - a for a, b in zip(out, out[1:], strict=False)]
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assert max(diffs) == pytest.approx(0.5, abs=1e-9)
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assert min(diffs) == pytest.approx(0.5, abs=1e-9)
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def test_extend_refuses_an_unsteady_grid():
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"""Extending a wandering grid would invent beats with nothing behind them.
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Gated on IQR/median, so one drum-free hole in an otherwise steady track does
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not disqualify it."""
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beats = [5.0 + i * 0.5 for i in range(9)]
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out, head, tail = _extend_to_track_edges(beats, duration=15.0, irregularity=0.5)
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assert (head, tail) == (0, 0)
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assert out == beats
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def test_extend_is_a_no_op_when_grid_already_spans_the_track():
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beats = [i * 0.5 for i in range(5)]
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out, head, tail = _extend_to_track_edges(beats, duration=2.0, irregularity=0.01)
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assert (head, tail) == (0, 0)
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assert out == beats
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def test_extend_handles_too_few_beats():
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assert _extend_to_track_edges([1.0, 1.5], duration=10.0, irregularity=0.01) == (
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[1.0, 1.5],
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0,
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0,
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)
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def test_grid_covers_a_track_whose_drums_start_late(stems_dir):
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"""End-to-end version of the real-song gap: a click must not go silent for
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the intro just because the drummer has not come in yet."""
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bpm = 120.0
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interval = 60.0 / bpm
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# Hits only between 6 s and 20 s of a 26 s file.
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times = [t for t in (i * interval for i in range(300)) if 6.0 <= t <= 20.0]
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_write_hits_wav(stems_dir / "drums.wav", times, seconds=26.0)
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grid = compute_beat_grid(stems_dir)
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assert grid is not None
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assert grid["extrapolated_head"] > 0
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assert grid["extrapolated_tail"] > 0
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assert grid["beats"][0] < 1.0, "click should start near the top of the track"
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assert grid["beats"][-1] > 25.0, "click should run to the end of the track"
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# Extrapolated beats stay on the detected tempo.
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worst = max(abs(b - round(b / interval) * interval) for b in grid["beats"])
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assert worst <= 0.010, f"worst {worst * 1000:.1f} ms"
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# Confidence describes detection, so it must not be dragged down by the
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# extrapolated beats that have no onset under them.
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assert grid["confidence"] >= 80
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assert grid["detected"] < len(grid["beats"])
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# --- compute_beat_grid: ground truth ---------------------------------------
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@pytest.mark.parametrize("bpm", [90.0, 120.0, 140.0])
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def test_detects_exact_tempo_of_synthetic_click(stems_dir, bpm):
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_write_click_wav(stems_dir / "drums.wav", bpm=bpm, seconds=30.0)
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grid = compute_beat_grid(stems_dir)
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assert grid is not None, "a clean synthetic click track must produce a grid"
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assert abs(grid["bpm"] - bpm) < 0.5, f"got {grid['bpm']}, expected {bpm}"
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assert grid["source"] == "drums"
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assert grid["confidence"] >= 90
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# Every beat must sit on the ideal grid. Compare against k*interval rather
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# than the emitted hit list: the tracker legitimately extrapolates a beat
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# past the final hit (the grid continues even when nothing is played), and
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# that beat is correct, not spurious.
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#
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# 5 ms is the real claim being made here. Raw librosa output is quantised
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# to the ~23 ms hop; anything near that ceiling means _refine_beats has
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# regressed and the click would flam against the drums.
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interval = 60.0 / bpm
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off = lambda b: b - CLICK_LEAD_IN - round((b - CLICK_LEAD_IN) / interval) * interval # noqa: E731
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worst = max(abs(off(b)) for b in grid["beats"])
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assert worst <= 0.005, f"worst beat error {worst * 1000:.1f} ms exceeds the 5 ms budget"
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def test_refinement_beats_raw_hop_quantisation(stems_dir):
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"""Guard the refinement pass itself.
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A click placed on the raw 512-hop grid lands up to ~12 ms from the true
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transient and, because the error changes beat to beat, audibly jitters
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against a steady drummer. This asserts the refined grid is at least an
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order of magnitude tighter than that ceiling.
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"""
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bpm = 132.0
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_write_click_wav(stems_dir / "drums.wav", bpm=bpm, seconds=25.0)
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grid = compute_beat_grid(stems_dir)
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assert grid is not None
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interval = 60.0 / bpm
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errors = [
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abs(b - CLICK_LEAD_IN - round((b - CLICK_LEAD_IN) / interval) * interval)
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for b in grid["beats"]
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]
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# Refinement measures ~2 ms worst case; raw hop output is ~12 ms. A failure
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# here means the search window or FFT size regressed.
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assert max(errors) <= 0.004, f"worst {max(errors) * 1000:.1f} ms"
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assert sum(errors) / len(errors) <= 0.003
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# Jitter, not absolute offset, is what a listener hears as flam against the
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# drums. A constant offset this small is inaudible; scatter is not.
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signed = [
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b - CLICK_LEAD_IN - round((b - CLICK_LEAD_IN) / interval) * interval for b in grid["beats"]
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]
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mean = sum(signed) / len(signed)
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variance = sum((s - mean) ** 2 for s in signed) / len(signed)
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assert variance**0.5 <= 0.001, f"jitter {variance**0.5 * 1000:.2f} ms"
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# Nearly every beat has a real transient under it in a synthetic click.
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assert grid["refined"] >= len(grid["beats"]) - 2
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def test_grid_follows_a_gradual_tempo_change(stems_dir):
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"""The point of persisting beat *times* rather than a single BPM.
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A fixed period extrapolated from an average tempo drifts steadily out of
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phase with a track that speeds up. Because the click plays the stored times,
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it follows the change.
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This asserts that property -- the grid accelerates with the music and is not
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a uniform lattice -- rather than per-beat millisecond accuracy. A synthetic
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tempo ramp is well outside the training distribution of the model detector
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(measured: 2 ms worst error under librosa against 242 ms under the model on
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the same fixture, while on realistic drum patterns the model is the more
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accurate of the two). Pinning tight accuracy here would be measuring the
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fixture's unrealism, and the constant-tempo tests above already cover
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placement precision.
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"""
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# 100 -> 120 BPM linear accelerando over ~28 s.
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times: list[float] = []
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t, bpm = 0.5, 100.0
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while t < 28.0:
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times.append(t)
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t += 60.0 / bpm
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bpm = min(120.0, bpm + 0.45)
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_write_hits_wav(stems_dir / "drums.wav", times, seconds=30.0)
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grid = compute_beat_grid(stems_dir)
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assert grid is not None
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beats = [b for b in grid["beats"] if b <= times[-1]]
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assert len(beats) >= len(times) * 0.8, "tracker lost most of the ramp"
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# The grid must speed up: the last stretch is measurably faster than the
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# first. This is what a fixed-BPM grid could never reproduce.
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def local_bpm(seq):
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iv = [b - a for a, b in zip(seq, seq[1:], strict=False)]
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iv.sort()
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return 60.0 / iv[len(iv) // 2]
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head = local_bpm(beats[: len(beats) // 3])
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tail = local_bpm(beats[-len(beats) // 3 :])
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assert tail > head * 1.05, f"grid did not accelerate: {head:.1f} -> {tail:.1f} BPM"
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# And it must not be a uniform lattice, which is what a single fixed period
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# would produce.
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assert grid["interval_cv"] > 0.01
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def test_beats_are_strictly_increasing_and_in_range(stems_dir):
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_write_click_wav(stems_dir / "drums.wav", bpm=120.0, seconds=20.0)
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grid = compute_beat_grid(stems_dir)
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assert grid is not None
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beats = grid["beats"]
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assert all(b2 > b1 for b1, b2 in zip(beats, beats[1:], strict=False))
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assert beats[0] >= 0.0
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assert beats[-1] <= grid["duration"]
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def test_writes_beats_json_atomically(stems_dir):
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_write_click_wav(stems_dir / "drums.wav", bpm=120.0, seconds=20.0)
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grid = compute_beat_grid(stems_dir)
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assert grid is not None
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out = stems_dir / "beats.json"
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assert out.is_file()
|
|
assert not (stems_dir / "beats.json.tmp").exists(), "temp file must be renamed away"
|
|
assert json.loads(out.read_text()) == grid
|
|
|
|
|
|
# --- compute_beat_grid: source selection + failure modes -------------------
|
|
|
|
|
|
def test_prefers_drums_over_original(stems_dir):
|
|
_write_click_wav(stems_dir / "drums.wav", bpm=120.0, seconds=20.0)
|
|
_write_click_wav(stems_dir / "original.wav", bpm=90.0, seconds=20.0)
|
|
grid = compute_beat_grid(stems_dir)
|
|
assert grid is not None
|
|
assert grid["source"] == "drums"
|
|
assert abs(grid["bpm"] - 120.0) < 1.0
|
|
|
|
|
|
def test_falls_back_to_original_without_drums(stems_dir):
|
|
_write_click_wav(stems_dir / "original.wav", bpm=100.0, seconds=20.0)
|
|
grid = compute_beat_grid(stems_dir)
|
|
assert grid is not None
|
|
assert grid["source"] == "original"
|
|
|
|
|
|
def test_returns_none_without_any_source(stems_dir):
|
|
assert compute_beat_grid(stems_dir) is None
|
|
assert not (stems_dir / "beats.json").exists()
|
|
|
|
|
|
def test_returns_none_on_silence(stems_dir):
|
|
"""A silent stem has no onset envelope. Emitting a grid anyway would mean
|
|
clicking confidently over nothing."""
|
|
with wave.open(str(stems_dir / "drums.wav"), "wb") as w:
|
|
w.setnchannels(1)
|
|
w.setsampwidth(2)
|
|
w.setframerate(SR)
|
|
w.writeframes(b"\x00\x00" * SR * 10)
|
|
assert compute_beat_grid(stems_dir) is None
|
|
|
|
|
|
def test_returns_none_on_corrupt_file(stems_dir):
|
|
(stems_dir / "drums.wav").write_bytes(b"not a wav file at all")
|
|
assert compute_beat_grid(stems_dir) is None
|
|
|
|
|
|
def test_returns_none_on_too_short_a_clip(stems_dir):
|
|
"""Under _MIN_BEATS worth of audio: no usable grid."""
|
|
_write_click_wav(stems_dir / "drums.wav", bpm=120.0, seconds=1.0)
|
|
assert compute_beat_grid(stems_dir) is None
|
|
|
|
|
|
def test_never_raises_on_unreadable_dir(tmp_path, monkeypatch):
|
|
from app.pipeline import analyze as analyze_mod
|
|
|
|
monkeypatch.setattr(analyze_mod, "JOBS_DIR", tmp_path)
|
|
assert compute_beat_grid(tmp_path / "does-not-exist") is None
|
|
|
|
|
|
def test_source_outside_jobs_dir_is_refused(tmp_path, monkeypatch):
|
|
"""Containment guard: a stems dir outside JOBS_DIR must not be decoded."""
|
|
from app.pipeline import analyze as analyze_mod
|
|
|
|
monkeypatch.setattr(analyze_mod, "JOBS_DIR", tmp_path / "jobs")
|
|
(tmp_path / "jobs").mkdir()
|
|
outside = tmp_path / "elsewhere" / "stems"
|
|
outside.mkdir(parents=True)
|
|
_write_click_wav(outside / "drums.wav", bpm=120.0, seconds=20.0)
|
|
assert compute_beat_grid(outside) is None
|
|
|
|
|
|
# --- endpoint --------------------------------------------------------------
|
|
|
|
|
|
@pytest.fixture
|
|
def client(tmp_path, monkeypatch):
|
|
from app.api import stems as stems_mod
|
|
|
|
monkeypatch.setattr(stems_mod, "JOBS_DIR", tmp_path)
|
|
monkeypatch.setattr(stems_mod, "_MIXDOWN_CACHE_DIR", tmp_path / "cache" / "mixdown")
|
|
from app.main import app
|
|
|
|
return TestClient(app)
|
|
|
|
|
|
def _write_grid(tmp_path, job_id: str, payload: dict) -> None:
|
|
d = tmp_path / job_id / "stems"
|
|
d.mkdir(parents=True, exist_ok=True)
|
|
(d / "beats.json").write_text(json.dumps(payload), encoding="utf-8")
|
|
|
|
|
|
def test_beats_endpoint_serves_grid(client, tmp_path):
|
|
job = Job(id="abcdefabcdef")
|
|
job.status = "done"
|
|
_jobs[job.id] = job
|
|
payload = {"version": 1, "bpm": 120.0, "beats": [0.0, 0.5, 1.0]}
|
|
_write_grid(tmp_path, job.id, payload)
|
|
|
|
r = client.get(f"/api/jobs/{job.id}/stems/beats.json")
|
|
assert r.status_code == 200
|
|
assert r.json() == payload
|
|
|
|
|
|
def test_beats_endpoint_404s_for_legacy_job(client, tmp_path):
|
|
"""Jobs separated before this stage existed have no beats.json. That is a
|
|
normal, expected 404 -- the UI hides the click control rather than erroring."""
|
|
job = Job(id="abcdefabcdef")
|
|
job.status = "done"
|
|
_jobs[job.id] = job
|
|
(tmp_path / job.id / "stems").mkdir(parents=True)
|
|
r = client.get(f"/api/jobs/{job.id}/stems/beats.json")
|
|
assert r.status_code == 404
|
|
|
|
|
|
def test_beats_endpoint_rejects_malformed_job_id(client):
|
|
for bad_id in ("../etc", "ABC", "abcdefabcdef0", "abcd-efabcdef", "%2e%2e%2fetc"):
|
|
r = client.get(f"/api/jobs/{bad_id}/stems/beats.json")
|
|
assert r.status_code == 404, f"id {bad_id!r} should 404"
|
|
|
|
|
|
def test_beats_endpoint_requires_done_status(client, tmp_path):
|
|
job = Job(id="abcdefabcdef")
|
|
job.status = "separating"
|
|
_jobs[job.id] = job
|
|
_write_grid(tmp_path, job.id, {"version": 1, "beats": []})
|
|
r = client.get(f"/api/jobs/{job.id}/stems/beats.json")
|
|
assert r.status_code == 404
|
|
|
|
|
|
def test_beats_endpoint_404s_for_unknown_job(client):
|
|
r = client.get("/api/jobs/abcdefabcdef/stems/beats.json")
|
|
assert r.status_code == 404
|
|
|
|
|
|
def test_beats_route_does_not_shadow_stem_wav(client, tmp_path):
|
|
"""The literal beats.json route must not swallow /stems/{name}.wav."""
|
|
job = Job(id="abcdefabcdef")
|
|
job.status = "done"
|
|
_jobs[job.id] = job
|
|
d = tmp_path / job.id / "stems"
|
|
d.mkdir(parents=True)
|
|
(d / "drums.wav").write_bytes(b"RIFF1234")
|
|
r = client.get(f"/api/jobs/{job.id}/stems/drums.wav")
|
|
assert r.status_code == 200
|