Fixes for manifest validation and fixing

lhotse/bin/modes/validate.py

@@ -19,7 +19,11 @@
     from lhotse import load_manifest, validate
 
     data = load_manifest(manifest)
-    validate(data, read_data=read_data)
+    try:
+        validate(data, read_data=read_data)
+    except AssertionError as e:
+        click.echo(f"Validation failed: {e}")
+        return 1
 
 
 @cli.command(name="validate-pair")
@@ -40,9 +44,13 @@
 
     recs = load_manifest(recordings)
     sups = load_manifest(supervisions)
-    validate_recordings_and_supervisions(
-        recordings=recs, supervisions=sups, read_data=read_data
-    )
+    try:
+        validate_recordings_and_supervisions(
+            recordings=recs, supervisions=sups, read_data=read_data
+        )
+    except AssertionError as e:
+        click.echo(f"Validation failed: {e}")
+        return 1
 
 
 @cli.command(name="fix")

lhotse/qa.py

@@ -1,5 +1,5 @@
 import logging
-from collections import defaultdict
+from collections import Counter, defaultdict
 from math import isclose
 from typing import Any, Callable, Dict, Iterable, Optional, Tuple, Union
 
@@ -88,20 +88,22 @@
     These items will be discarded by default when creating a CutSet.
     """
     if isinstance(recordings, Recording):
-        recordings = RecordingSet.from_recordings([recordings])
+        recordings = RecordingSet([recordings])
     if isinstance(supervisions, SupervisionSegment):
-        supervisions = SupervisionSet.from_segments([supervisions])
+        supervisions = SupervisionSet([supervisions])
 
-    if recordings.is_lazy:
-        recordings = RecordingSet.from_recordings(iter(recordings))
-    if supervisions.is_lazy:
-        supervisions = SupervisionSet.from_segments(iter(supervisions))
+    recordings = recordings.to_eager()
+    supervisions = supervisions.to_eager()
 
     validate(recordings, read_data=read_data)
     validate(supervisions)
     # Errors
+    id2rec = {r.id: r for r in recordings}
     for s in supervisions:
-        r = recordings[s.recording_id]
+        r = id2rec.get(s.recording_id)
+        assert (
+            r is not None
+        ), f"Supervision {s.id} references non-existent recording {s.recording_id}"
         assert -1e-3 <= s.start <= s.end <= r.duration + 1e-3, (
             f"Supervision {s.id}: exceeded the bounds of its corresponding recording "
             f"(supervision spans [{s.start}, {s.end}]; recording spans [0, {r.duration}])"
@@ -111,7 +113,7 @@
             f"(recording channels: {r.channel_ids})"
         )
     # Warnings
-    recording_ids = frozenset(r.id for r in recordings)
+    recording_ids = id2rec.keys()
     recording_ids_in_sups = frozenset(s.recording_id for s in supervisions)
     only_in_recordings = recording_ids - recording_ids_in_sups
     if only_in_recordings:
@@ -172,15 +174,14 @@
     not exceeding the duration of their corresponding :class:`~lhotse.audio.Recording`.
     """
     if isinstance(recordings, Recording):
-        recordings = RecordingSet.from_recordings([recordings])
-    if recordings.is_lazy:
-        recordings = RecordingSet.from_recordings(iter(recordings))
+        recordings = RecordingSet([recordings])
 
+    id2rec = {r.id: r for r in recordings}
     sups = []
     removed = 0
     trimmed = 0
     for s in supervisions:
-        end = recordings[s.recording_id].duration
+        end = id2rec[s.recording_id].duration
         if s.start > end:
             removed += 1
             continue
@@ -438,20 +439,30 @@
 @register_validator
 def validate_recording_set(recordings: RecordingSet, read_data: bool = False) -> None:
     rates = set()
+    ids = Counter()
     for r in recordings:
         validate_recording(r, read_data=read_data)
         rates.add(r.sampling_rate)
+        ids[r.id] += 1
     if len(rates) > 1:
         logging.warning(
             f"RecordingSet contains recordings with different sampling rates ({rates}). "
             f"Make sure that this was intended."
         )
+    assert (
+        ids.most_common(1)[0][1] <= 1
+    ), "RecordingSet has recordings with duplicated IDs."
 
 
 @register_validator
 def validate_supervision_set(supervisions: SupervisionSet, **kwargs) -> None:
+    ids = Counter()
     for s in supervisions:
         validate_supervision(s)
+        ids[s.id] += 1
+    assert (
+        ids.most_common(1)[0][1] <= 1
+    ), "SupervisionSet has supervisions with duplicated IDs."
 
     # Catch errors in data preparation:
     # - more than one supervision for a given recording starts at 0 (in a given channel)
@@ -494,5 +505,8 @@
 
 @register_validator
 def validate_cut_set(cuts: CutSet, read_data: bool = False) -> None:
+    ids = Counter()
     for c in cuts:
         validate_cut(c, read_data=read_data)
+        ids[c.id] += 1
+    assert ids.most_common(1)[0][1] <= 1, "CutSet has cuts with duplicated IDs."