feat(assets): extract video metadata into system_metadata on ingest and scan

app/assets/scanner.py

@@ -33,7 +33,7 @@ from app.assets.services.file_utils import (
     verify_file_unchanged,
 )
 from app.assets.services.hashing import HashCheckpoint, compute_blake3_hash
-from app.assets.services.image_dimensions import extract_image_dimensions
+from app.assets.services.media_metadata import extract_media_metadata
 from app.assets.services.metadata_extract import extract_file_metadata
 from app.assets.services.path_utils import (
     compute_loader_path,
@@ -507,10 +507,9 @@ def enrich_asset(
 
     if extract_metadata and metadata:
         system_metadata = metadata.to_user_metadata()
-        if mime_type and mime_type.startswith("image/"):
+        dims = extract_media_metadata(file_path, mime_type=mime_type)
-            dims = extract_image_dimensions(file_path, mime_type=mime_type)
+        if dims:
-            if dims:
+            system_metadata.update(dims)
-                system_metadata.update(dims)
         set_reference_system_metadata(session, reference_id, system_metadata)
 
     if full_hash:

app/assets/services/ingest.py

@@ -31,7 +31,10 @@ from app.assets.database.queries import (
 from app.assets.helpers import get_utc_now, normalize_tags
 from app.assets.services.bulk_ingest import batch_insert_seed_assets
 from app.assets.services.file_utils import get_size_and_mtime_ns
-from app.assets.services.image_dimensions import extract_image_dimensions
+from app.assets.services.media_metadata import (
+    MEDIA_METADATA_KEYS,
+    extract_media_metadata,
+)
 from app.assets.services.path_utils import (
     compute_loader_path,
     get_name_and_tags_from_asset_path,
@@ -138,7 +141,7 @@ def _ingest_file_from_path(
                 user_metadata=user_metadata,
             )
 
-            _maybe_store_image_dimensions(
+            _maybe_store_media_metadata(
                 session,
                 reference_id=reference_id,
                 file_path=locator,
@@ -316,7 +319,7 @@ def _register_existing_asset(
                 user_metadata=new_meta,
             )
 
-        _backfill_image_dimensions_from_siblings(
+        _backfill_media_metadata_from_siblings(
             session,
             asset_id=asset.id,
             new_reference_id=ref.id,
@@ -369,25 +372,22 @@ def _update_metadata_with_filename(
         )
 
 
-_IMAGE_DIMENSION_KEYS = ("kind", "width", "height")
+_MEDIA_KINDS = ("image", "video")
 
 
-def _maybe_store_image_dimensions(
+def _maybe_store_media_metadata(
     session: Session,
     reference_id: str,
     file_path: str,
     mime_type: str | None,
     current_system_metadata: dict | None,
 ) -> None:
-    """Populate ``kind``/``width``/``height`` on system_metadata for image refs.
+    """Populate media keys on system_metadata for image and video refs.
 
-    Non-image MIME types are a no-op. Pre-existing keys (e.g. enricher-written
+    Non-media MIME types are a no-op. Pre-existing keys (e.g. enricher-written
     safetensors metadata, download provenance) are preserved by merge.
     """
-    if not mime_type or not mime_type.startswith("image/"):
+    dims = extract_media_metadata(file_path, mime_type=mime_type)
-        return
-
-    dims = extract_image_dimensions(file_path, mime_type=mime_type)
     if not dims:
         return
 
@@ -402,31 +402,35 @@ def _maybe_store_image_dimensions(
         )
 
 
-def _backfill_image_dimensions_from_siblings(
+def _backfill_media_metadata_from_siblings(
     session: Session,
     asset_id: str,
     new_reference_id: str,
     current_system_metadata: dict | None,
 ) -> None:
-    """Copy image dimension keys from any sibling reference of the same asset.
+    """Copy media metadata keys from any sibling reference of the same asset.
 
-    The from-hash path doesn't read the file bytes, so dimensions can't be
+    The from-hash path doesn't read the file bytes, so metadata can't be
     extracted there directly. When another reference of the same asset already
-    carries image dimensions, copy them onto the new reference so consumers
+    carries media metadata, copy it onto the new reference so consumers see
-    see consistent metadata regardless of how the asset was registered.
+    consistent metadata regardless of how the asset was registered.
 
-    Best-effort: missing siblings, non-image siblings, or absent dimension
+    Best-effort: missing siblings, non-media siblings, or absent metadata
     keys leave the target reference unchanged.
     """
     current = current_system_metadata or {}
-    if current.get("kind") == "image" and "width" in current and "height" in current:
+    if (
+        current.get("kind") in _MEDIA_KINDS
+        and "width" in current
+        and "height" in current
+    ):
         return
 
     for sibling in list_references_by_asset_id(session, asset_id):
         if sibling.id == new_reference_id:
             continue
         meta = sibling.system_metadata or {}
-        if meta.get("kind") != "image":
+        if meta.get("kind") not in _MEDIA_KINDS:
             continue
         width = meta.get("width")
         height = meta.get("height")
@@ -438,9 +442,9 @@ def _backfill_image_dimensions_from_siblings(
         ):
             continue
         merged = dict(current)
-        merged["kind"] = "image"
+        for key in MEDIA_METADATA_KEYS:
-        merged["width"] = width
+            if key in meta:
-        merged["height"] = height
+                merged[key] = meta[key]
         if merged != current:
             set_reference_system_metadata(
                 session,

app/assets/services/media_metadata.py

@@ -0,0 +1,31 @@
+from __future__ import annotations
+
+from typing import Any
+
+from app.assets.services.image_dimensions import extract_image_dimensions
+from app.assets.services.video_metadata import extract_video_metadata
+
+MEDIA_METADATA_KEYS = (
+    "kind",
+    "width",
+    "height",
+    "duration",
+    "fps",
+    "frame_count",
+)
+
+
+def extract_media_metadata(
+    file_path: str, mime_type: str | None = None
+) -> dict[str, Any] | None:
+    """Extract media metadata for the file, dispatched on the MIME prefix.
+
+    Returns ``None`` for non-media MIME types or unreadable files.
+    """
+    if not mime_type:
+        return None
+    if mime_type.startswith("image/"):
+        return extract_image_dimensions(file_path, mime_type=mime_type)
+    if mime_type.startswith("video/"):
+        return extract_video_metadata(file_path, mime_type=mime_type)
+    return None

app/assets/services/video_metadata.py

@@ -0,0 +1,81 @@
+"""Video metadata extraction for asset ingest.
+
+Reads only the container/stream headers via PyAV to capture dimensions,
+duration, fps and frame count cheaply, without decoding frames. Returns a
+metadata dict suitable for merging into ``AssetReference.system_metadata``.
+"""
+from __future__ import annotations
+
+import logging
+from typing import Any
+
+logger = logging.getLogger(__name__)
+
+
+def extract_video_metadata(
+    file_path: str, mime_type: str | None = None
+) -> dict[str, Any] | None:
+    """Extract video stream metadata for the file at ``file_path``.
+
+    Args:
+        file_path: Absolute path to a file on disk.
+        mime_type: Optional MIME type hint. When provided and not prefixed
+            with ``video/``, extraction is skipped without touching the file.
+
+    Returns:
+        ``{"kind": "video", "width": W, "height": H, ...}`` with optional
+        ``duration`` (seconds), ``fps`` and ``frame_count`` keys when the
+        file has a recognizable video stream, otherwise ``None``.
+    """
+    if mime_type is not None and not mime_type.startswith("video/"):
+        return None
+
+    try:
+        import av
+    except ImportError:
+        logger.debug(
+            "PyAV not available; skipping video metadata extraction for %s",
+            file_path,
+        )
+        return None
+
+    try:
+        with av.open(file_path) as container:
+            stream = next(
+                (s for s in container.streams if s.type == "video"), None
+            )
+            if stream is None:
+                return None
+
+            fps = float(stream.average_rate) if stream.average_rate else None
+            duration = None
+            if stream.duration is not None and stream.time_base is not None:
+                duration = float(stream.duration * stream.time_base)
+            elif container.duration is not None:
+                duration = float(container.duration * av.time_base)
+            frame_count = stream.frames or None
+            if frame_count is None and duration is not None and fps is not None:
+                frame_count = round(duration * fps)
+
+            width = stream.codec_context.width
+            height = stream.codec_context.height
+    except (OSError, ValueError, av.error.FFmpegError) as exc:
+        logger.debug("Failed to read video metadata from %s: %s", file_path, exc)
+        return None
+
+    if (
+        not isinstance(width, int)
+        or not isinstance(height, int)
+        or width <= 0
+        or height <= 0
+    ):
+        return None
+
+    metadata: dict[str, Any] = {"kind": "video", "width": width, "height": height}
+    if duration is not None:
+        metadata["duration"] = duration
+    if fps is not None:
+        metadata["fps"] = fps
+    if frame_count is not None:
+        metadata["frame_count"] = frame_count
+    return metadata

tests-unit/assets_test/services/test_video_metadata.py

@@ -0,0 +1,138 @@
+"""Tests for the video_metadata service."""
+from __future__ import annotations
+
+from pathlib import Path
+
+import numpy as np
+import pytest
+
+from app.assets.services.media_metadata import extract_media_metadata
+from app.assets.services.video_metadata import extract_video_metadata
+
+av = pytest.importorskip("av")
+
+
+def _make_mp4(
+    path: Path, width: int = 64, height: int = 48, frames: int = 12, fps: int = 8
+) -> Path:
+    with av.open(str(path), "w") as container:
+        stream = container.add_stream("libx264", rate=fps)
+        stream.width = width
+        stream.height = height
+        stream.pix_fmt = "yuv420p"
+        for _ in range(frames):
+            frame = av.VideoFrame.from_ndarray(
+                np.zeros((height, width, 3), dtype=np.uint8), format="rgb24"
+            )
+            for packet in stream.encode(frame):
+                container.mux(packet)
+        for packet in stream.encode():
+            container.mux(packet)
+    return path
+
+
+class TestExtractVideoMetadata:
+    def test_extracts_stream_metadata(self, tmp_path: Path):
+        f = _make_mp4(tmp_path / "clip.mp4", width=64, height=48, frames=12, fps=8)
+
+        result = extract_video_metadata(str(f), mime_type="video/mp4")
+
+        assert result is not None
+        assert result["kind"] == "video"
+        assert result["width"] == 64
+        assert result["height"] == 48
+        assert result["frame_count"] == 12
+        assert result["fps"] == pytest.approx(8.0)
+        assert result["duration"] == pytest.approx(12 / 8, abs=0.1)
+
+    def test_works_when_mime_type_is_none(self, tmp_path: Path):
+        f = _make_mp4(tmp_path / "no_mime.mp4")
+
+        result = extract_video_metadata(str(f), mime_type=None)
+
+        assert result is not None
+        assert result["kind"] == "video"
+
+    @pytest.mark.parametrize(
+        "mime",
+        ["application/json", "text/plain", "image/png", "audio/mpeg"],
+    )
+    def test_skips_non_video_mime_types(self, tmp_path: Path, mime: str):
+        result = extract_video_metadata(
+            str(tmp_path / "untouched.mp4"), mime_type=mime
+        )
+
+        assert result is None
+
+    def test_returns_none_for_missing_file(self, tmp_path: Path):
+        result = extract_video_metadata(
+            str(tmp_path / "does_not_exist.mp4"), mime_type="video/mp4"
+        )
+
+        assert result is None
+
+    def test_returns_none_for_corrupt_video(self, tmp_path: Path):
+        f = tmp_path / "corrupt.mp4"
+        f.write_bytes(b"not actually an mp4 file")
+
+        result = extract_video_metadata(str(f), mime_type="video/mp4")
+
+        assert result is None
+
+
+class TestExtractMediaMetadata:
+    def test_dispatches_video_mime_to_video_extractor(self, tmp_path: Path):
+        f = _make_mp4(tmp_path / "clip.mp4")
+
+        result = extract_media_metadata(str(f), mime_type="video/mp4")
+
+        assert result is not None
+        assert result["kind"] == "video"
+
+    def test_dispatches_image_mime_to_image_extractor(self, tmp_path: Path):
+        from PIL import Image
+
+        f = tmp_path / "img.png"
+        Image.new("RGB", (32, 16)).save(f, format="PNG")
+
+        result = extract_media_metadata(str(f), mime_type="image/png")
+
+        assert result == {"kind": "image", "width": 32, "height": 16}
+
+    def test_returns_none_without_mime_type(self, tmp_path: Path):
+        f = _make_mp4(tmp_path / "clip.mp4")
+
+        assert extract_media_metadata(str(f), mime_type=None) is None
+
+    def test_returns_none_for_non_media_mime(self, tmp_path: Path):
+        f = tmp_path / "file.bin"
+        f.write_bytes(b"\x00")
+
+        assert extract_media_metadata(str(f), mime_type="text/plain") is None
+
+
+class TestIngestStoresVideoMetadata:
+    def test_register_file_in_place_stores_video_metadata(
+        self, mock_create_session, temp_dir: Path, session
+    ):
+        from app.assets.database.models import AssetReference
+        from app.assets.services.ingest import _ingest_file_from_path
+
+        f = _make_mp4(temp_dir / "clip.mp4", width=64, height=48)
+
+        result = _ingest_file_from_path(
+            abs_path=str(f),
+            asset_hash="blake3:video123",
+            size_bytes=f.stat().st_size,
+            mtime_ns=1234567890000000000,
+            mime_type="video/mp4",
+        )
+
+        assert result.reference_id is not None
+        ref = session.query(AssetReference).one()
+        meta = ref.system_metadata or {}
+        assert meta["kind"] == "video"
+        assert meta["width"] == 64
+        assert meta["height"] == 48
+        assert meta["frame_count"] == 12
+        assert meta["fps"] == pytest.approx(8.0)