fix(example-images): read real dimensions for imported videos, fixes #1115

Example videos added through the "Add examples" flow were stored with a
hardcoded 720x1280 entry. The dimension probe next to it only ran for
images (PIL cannot open .mp4/.webm files), so every video entry stayed
portrait regardless of the source. The showcase viewer then sizes its
container straight from that value (--media-aspect in showcase.css), so
landscape clips were letterboxed inside a 9:16 box. CivitAI-sourced
examples were unaffected because their dimensions come from the API.

PIL cannot read video containers, so add a dependency-free reader that
parses the container headers instead: moov/trak/tkhd for ISO base media
(with the sample description as a fallback), Segment/Tracks/Pixel* for
WebM/Matroska, and RIFF/WebP for animated examples saved with a video
extension. The sniffed signature decides which reader runs, so a .mp4
that is really WebM still reports the right size; the extension is only
a fallback. Both readers seek past mdat rather than reading it, so a
large file costs the same as a small one.

Imported entries now record the file's real size and keep the previous
placeholder only when the file cannot be parsed.

Existing libraries keep their wrong entries, so backfill them once via
the existing naming migration: bump CURRENT_NAMING_VERSION to 3 and
repair each model's empty-url entries from the files on disk, then sync
the scanner cache. Only entries with no remote url are touched -- those
have no other source, which makes the rewrite lossless -- and entries
already carrying the right size are left byte-identical, so the pass is
idempotent and a no-op for libraries that never imported a video.
This commit is contained in:
Will Miao
2026-09-17 21:42:32 +08:00
parent eba03800b9
commit 7d963b27b5
8 changed files with 1699 additions and 32 deletions
+155 -25
View File
@@ -2,7 +2,7 @@ import inspect
import logging
import os
import re
from typing import TYPE_CHECKING, Any, Dict, Optional
from typing import TYPE_CHECKING, Any, Dict, Mapping, MutableMapping, Optional
from ..recipes.constants import GEN_PARAM_KEYS
from ..services.metadata_service import get_default_metadata_provider, get_metadata_provider
@@ -13,9 +13,20 @@ from ..services.downloader import get_downloader
from ..utils.constants import SUPPORTED_MEDIA_EXTENSIONS
from ..utils.exif_utils import ExifUtils
from ..utils.metadata_manager import MetadataManager
from ..utils.video_metadata import get_video_dimensions
logger = logging.getLogger(__name__)
# Placeholder dimensions written when the real ones cannot be determined.
# Kept for backwards compatibility with pre-existing metadata entries.
_DEFAULT_MEDIA_WIDTH = 720
_DEFAULT_MEDIA_HEIGHT = 1280
# Example metadata entries carry a marker: ``customImages`` use their ``id``
# while ``images`` use the positional index. Either way the marker must be a
# plain filename-safe token, never a path fragment.
_ENTRY_MARKER_PATTERN = re.compile(r"^(?:custom_|image_)?([^./\\]+)$")
_preview_service = PreviewAssetService(
metadata_manager=MetadataManager,
downloader_factory=get_downloader,
@@ -66,6 +77,141 @@ def _build_metadata_sync_service(settings_manager: "SettingsManager") -> Metadat
)
def _read_media_dimensions(path: str, is_video: bool) -> tuple[int, int]:
"""Return ``(width, height)`` for an example image or video file.
Videos are read from their container headers (PIL cannot open them) so the
showcase viewer sizes the gallery to the real aspect ratio. Falls back to
the legacy ``720x1280`` placeholder when the dimensions cannot be
determined — e.g. an unreadable file or an exotic codec — which only
affects the displayed aspect ratio, never the file itself.
"""
dimensions = None
if is_video:
dimensions = get_video_dimensions(path)
else:
try:
from PIL import Image
if os.path.exists(path):
with Image.open(path) as img:
dimensions = img.size
except Exception:
dimensions = None
if dimensions:
width, height = dimensions
if width > 0 and height > 0:
return int(width), int(height)
return _DEFAULT_MEDIA_WIDTH, _DEFAULT_MEDIA_HEIGHT
def _is_video_entry(file_path: Optional[str], entry: Mapping[str, Any]) -> bool:
"""Return True when an example entry points at a video file.
The local file extension wins over the recorded ``type`` because files in
the wild are frequently mislabelled (animated WebP saved as ``.mp4``);
``_read_media_dimensions`` handles that correctly either way.
"""
if file_path:
ext = os.path.splitext(file_path)[1].lower()
if ext in SUPPORTED_MEDIA_EXTENSIONS["videos"]:
return True
if ext in SUPPORTED_MEDIA_EXTENSIONS["images"]:
return False
return str(entry.get("type", "")).lower() == "video"
def _resolve_local_file(
entry: Mapping[str, Any],
index: int,
local_files: Mapping[str, str],
) -> Optional[str]:
"""Map a metadata entry onto its example file inside the model folder.
Reads the entry's own marker (``id`` for ``customImages``, positional
``index`` for ``images``) with an anchored regex, so the identifier can
never bleed into a neighbouring filename the way a prefix comparison can.
"""
marker = entry.get("id")
if not isinstance(marker, str) or not marker:
marker = str(index)
match = _ENTRY_MARKER_PATTERN.fullmatch(marker)
if not match:
return None
return local_files.get(match.group(1))
def repair_local_video_dimensions(
metadata: MutableMapping[str, Any],
local_files: Mapping[str, str],
*,
dry_run: bool = False,
) -> int:
"""Backfill real video dimensions for an entry that has local files.
Only entries with an empty ``url`` are considered: those have no remote
source, so the local file is the single source of truth for their size and
rewriting them cannot discard API-supplied data. Entries whose dimensions
already match the file are left byte-identical.
Args:
metadata: Raw metadata payload (mutated in place unless ``dry_run``).
local_files: ``{identifier: path}`` for files present in the model's
example folder, where the identifier is the entry's ``id`` (for
``customImages``) or its positional index (for ``images``).
dry_run: Count the fixes without mutating ``metadata``.
Returns:
The number of entries that were (or would be) repaired.
"""
civitai = metadata.get("civitai")
if not isinstance(civitai, dict):
return 0
repaired = 0
for key in ("customImages", "images"):
entries = civitai.get(key)
if not isinstance(entries, list) or not entries:
continue
for index, entry in enumerate(entries):
if not isinstance(entry, dict):
continue
if entry.get("url", "") != "":
# Remote-backed entry: never rebuilt from local state.
continue
file_path = _resolve_local_file(entry, index, local_files)
if not file_path or not os.path.isfile(file_path):
continue
dimensions = _read_media_dimensions(
file_path, _is_video_entry(file_path, entry)
)
width, height = dimensions
if width <= 0 or height <= 0:
continue
if entry.get("width") == width and entry.get("height") == height:
continue
if not dry_run:
entry["width"] = width
entry["height"] = height
repaired += 1
return repaired
def _get_metadata_sync_service() -> MetadataSyncService:
"""Return the shared metadata sync service, initialising it lazily."""
@@ -231,28 +377,20 @@ class MetadataUpdater:
file_ext = os.path.splitext(path)[1].lower()
is_video = file_ext in SUPPORTED_MEDIA_EXTENSIONS['videos']
width, height = _read_media_dimensions(path, is_video)
# Create image metadata entry
image_entry = {
"url": "", # Empty URL as required
"nsfwLevel": 0,
"width": 720, # Default dimensions
"height": 1280,
"width": width,
"height": height,
"type": "video" if is_video else "image",
"meta": None,
"hasMeta": False,
"hasPositivePrompt": False
}
# If it's an image, try to get actual dimensions (optional enhancement)
try:
from PIL import Image
if not is_video and os.path.exists(path):
with Image.open(path) as img:
image_entry["width"], image_entry["height"] = img.size
except:
# If PIL fails or is unavailable, use default dimensions
pass
images.append(image_entry)
# Update the model's civitai.images field
@@ -322,13 +460,15 @@ class MetadataUpdater:
file_ext = os.path.splitext(path)[1].lower()
is_video = file_ext in SUPPORTED_MEDIA_EXTENSIONS['videos']
width, height = _read_media_dimensions(path, is_video)
# Create image metadata entry
image_entry = {
"url": "", # Empty URL as requested
"id": short_id,
"nsfwLevel": 0,
"width": 720, # Default dimensions
"height": 1280,
"width": width,
"height": height,
"type": "video" if is_video else "image",
"meta": None,
"hasMeta": False,
@@ -353,16 +493,6 @@ class MetadataUpdater:
except Exception as e:
logger.warning(f"Failed to extract metadata from {os.path.basename(path)}: {e}")
# If it's an image, try to get actual dimensions
try:
from PIL import Image
if not is_video and os.path.exists(path):
with Image.open(path) as img:
image_entry["width"], image_entry["height"] = img.size
except:
# If PIL fails or is unavailable, use default dimensions
pass
# Append to existing customImages array
custom_images.append(image_entry)
+146 -2
View File
@@ -15,12 +15,20 @@ from ..utils.example_images_paths import (
)
from ..utils.metadata_manager import MetadataManager
from ..utils.example_images_processor import ExampleImagesProcessor
from ..utils.example_images_metadata import update_cache_from_metadata
from ..utils.example_images_metadata import (
repair_local_video_dimensions,
update_cache_from_metadata,
)
from ..utils.constants import SUPPORTED_MEDIA_EXTENSIONS
logger = logging.getLogger(__name__)
CURRENT_NAMING_VERSION = 2 # Increment this when naming conventions change
CURRENT_NAMING_VERSION = 3 # Increment this when naming conventions change
# Example files worth inspecting during the dimension repair.
_REPAIRABLE_EXTENSIONS = frozenset(
SUPPORTED_MEDIA_EXTENSIONS["images"] + SUPPORTED_MEDIA_EXTENSIONS["videos"]
)
class _SettingsProxy:
@@ -185,6 +193,9 @@ class ExampleImagesMigration:
if from_version < 2 and to_version >= 2:
await ExampleImagesMigration._migrate_to_v2(model_folders)
if from_version < 3 and to_version >= 3:
await ExampleImagesMigration._migrate_to_v3(example_images_path, model_folders)
# Update version in progress file
progress_file = os.path.join(example_images_path, '.download_progress.json')
try:
@@ -438,3 +449,136 @@ class ExampleImagesMigration:
migration_errors += 1
logger.info(f"Migration to v2 complete: migrated {count} custom examples across {updated_models} models with {migration_errors} errors")
@staticmethod
def _build_local_file_map(folder):
"""Map entry markers to their files inside a model's example folder.
Keys are the marker alone (``custom_<id>`` → ``<id>``,
``image_<index>`` → ``<index>``) so they line up with the metadata
entries' ``id``/positional index without any prefix ambiguity.
"""
local_files = {}
try:
entries = os.listdir(folder)
except OSError as exc:
logger.debug("Could not list example folder %s: %s", folder, exc)
return local_files
for name in entries:
stem, ext = os.path.splitext(name)
if ext.lower() not in _REPAIRABLE_EXTENSIONS:
continue
if stem.startswith("custom_"):
local_files[stem[len("custom_"):]] = os.path.join(folder, name)
elif stem.startswith("image_"):
local_files[stem[len("image_"):]] = os.path.join(folder, name)
return local_files
@staticmethod
async def _find_scanner_for_hash(model_hash):
"""Return the scanner owning ``model_hash``, or ``None``."""
lora_scanner = await ServiceRegistry.get_lora_scanner()
checkpoint_scanner = await ServiceRegistry.get_checkpoint_scanner()
embedding_scanner = await ServiceRegistry.get_embedding_scanner()
for scanner in (lora_scanner, checkpoint_scanner, embedding_scanner):
if scanner is None:
continue
try:
if scanner.has_hash(model_hash):
return scanner
except Exception as exc: # pragma: no cover - defensive
logger.debug("has_hash check failed for %s: %s", type(scanner).__name__, exc)
return None
@staticmethod
async def _migrate_to_v3(example_images_path, model_folders):
"""Backfill real dimensions for locally imported example videos.
Imported videos were stored with a hardcoded ``720x1280`` placeholder
(issue #1115), so landscape clips were rendered inside a portrait
container. Only entries with an empty ``url`` are touched — those have
no remote source, which makes the local file authoritative and the
rewrite lossless. Entries already carrying the right size are left
untouched, so re-running this migration is a no-op.
This runs once per library via the ``naming_version`` gate in
``run_migrations``; it is deliberately not wired into any request path.
"""
repaired_entries = 0
updated_models = 0
migration_errors = 0
logger.info(
"Starting v3 migration (local example video dimensions) for %d model folders",
len(model_folders),
)
for folder in model_folders:
try:
model_hash = os.path.basename(folder)
if not model_hash or len(model_hash) != 64:
continue
local_files = ExampleImagesMigration._build_local_file_map(folder)
if not local_files:
continue
scanner = await ExampleImagesMigration._find_scanner_for_hash(model_hash)
if scanner is None:
logger.debug(
"Model %s not found in any scanner cache, skipping dimension repair",
model_hash,
)
continue
cache = await scanner.get_cached_data()
model_data = None
for item in cache.raw_data:
if item.get("sha256") == model_hash:
model_data = item
break
if not model_data:
continue
file_path = model_data.get("file_path")
if not file_path:
continue
payload = await MetadataManager.load_metadata_payload(file_path)
if not isinstance(payload, dict):
continue
repaired = repair_local_video_dimensions(payload, local_files)
if repaired <= 0:
continue
# The model cache shape differs from the on-disk payload, so
# persist the file first and let the cache sync re-read it.
await MetadataManager.save_metadata(file_path, payload)
await update_cache_from_metadata(scanner, file_path, payload)
repaired_entries += repaired
updated_models += 1
except Exception as exc:
logger.error(
"Failed to repair example video dimensions for %s: %s",
folder,
exc,
)
migration_errors += 1
logger.info(
"Migration to v3 complete: repaired %d example entr(ies) across %d model(s) "
"with %d error(s)",
repaired_entries,
updated_models,
migration_errors,
)
+623
View File
@@ -0,0 +1,623 @@
"""Read intrinsic dimensions from video containers without external tooling.
PIL cannot open ``.mp4``/``.webm`` files, so example videos imported through
the "Add examples" flow used to fall back to a hardcoded ``720x1280`` (portrait)
entry, which forced the showcase viewer to letterbox landscape videos.
This module reads the dimensions out of the container headers themselves:
* ISO base media files (``.mp4``/``.mov``/``.m4v``) — ``moov/trak/tkhd``,
falling back to the sample description of the video track.
* WebM/Matroska (``.webm``/``.mkv``) — ``Segment/Tracks/TrackEntry/Video``
``PixelWidth``/``PixelHeight``.
* Animated WebP (``RIFF``/``WEBP``) — handled because users routinely save
animated examples with a video extension.
The container signature decides which reader runs, so a mislabelled file
(a ``.mp4`` that is really WebM) still reports the right dimensions.
Both readers stream over the file: only container headers are read, so a
multi-gigabyte ``mdat`` is never pulled into memory (it is seeked past).
"""
from __future__ import annotations
import functools
import logging
import os
import struct
from typing import BinaryIO, Iterator, Optional, Tuple
logger = logging.getLogger(__name__)
ISO_MEDIA_EXTENSIONS = frozenset({".mp4", ".m4v", ".mov"})
EBML_MEDIA_EXTENSIONS = frozenset({".webm", ".mkv"})
_EBML_MAGIC = b"\x1a\x45\xdf\xa3"
# Cap recursion into nesting containers so a crafted/corrupt file cannot blow
# the Python stack.
_MAX_BOX_DEPTH = 12
_MAX_EBML_DEPTH = 12
# Header structs (``tkhd``, sample entries) are tiny; guard against a bogus
# size claiming the whole file.
_MAX_HEADER_PAYLOAD = 1024 * 1024
_WIDTH_HEIGHT_UNSET = (0, 0)
@functools.lru_cache(maxsize=4096)
def _get_video_dimensions_cached(
path: str, _mtime_ns: int, _size: int
) -> Optional[Tuple[int, int]]:
"""Return ``(width, height)`` for ``path``, or ``None`` on any failure.
``_mtime_ns`` and ``_size`` participate in the cache key only so a replaced
file is re-probed; they are never read by the parser.
"""
try:
return _read_video_dimensions(path)
except Exception:
logger.debug("Failed to read video dimensions for %s", path, exc_info=True)
return None
def _read_video_dimensions(path: str) -> Optional[Tuple[int, int]]:
"""Dispatch to the ISO or EBML reader based on the container's magic bytes.
Real libraries contain files whose extension lies about their container
(a ``.mp4`` that is really WebM, typically), so the sniffed signature wins
and the extension is only a fallback.
"""
ext = os.path.splitext(path)[1].lower()
file_size = os.path.getsize(path)
with open(path, "rb") as stream:
magic = stream.read(12)
if _looks_like_iso_media(magic):
return _read_iso_media_dimensions(stream, file_size)
if magic[:4] == _EBML_MAGIC:
return _read_ebml_dimensions(stream, file_size)
if magic[:4] == b"RIFF" and magic[8:12] == b"WEBP":
return _read_riff_webp_dimensions(stream, file_size)
# Signature is inconclusive (truncated or unusual file): fall back to
# the extension.
if ext in EBML_MEDIA_EXTENSIONS:
return _read_ebml_dimensions(stream, file_size)
if ext in ISO_MEDIA_EXTENSIONS:
return _read_iso_media_dimensions(stream, file_size)
return None
def _looks_like_iso_media(magic: bytes) -> bool:
"""Return True when the leading bytes are an ISO base media box header."""
return len(magic) >= 8 and magic[4:8] in {
b"ftyp",
b"moov",
b"mdat",
b"free",
b"skip",
b"wide",
}
def get_video_dimensions(path: str) -> Optional[Tuple[int, int]]:
"""Return the intrinsic ``(width, height)`` of a local video file.
Returns ``None`` when the extension is unsupported, the file is missing or
corrupt, or the dimensions cannot be determined. Never raises.
"""
if not path:
return None
try:
stat = os.stat(path)
except OSError:
return None
return _get_video_dimensions_cached(path, stat.st_mtime_ns, stat.st_size)
def _clear_video_dimensions_cache() -> None:
"""Drop the dimension cache (used by tests)."""
_get_video_dimensions_cached.cache_clear()
# --------------------------------------------------------------------------- #
# ISO base media (MP4 / MOV)
# --------------------------------------------------------------------------- #
def _iter_boxes(
stream: BinaryIO, end: int, depth: int = 0
) -> Iterator[Tuple[bytes, int, int]]:
"""Yield ``(type, payload_start, box_end)`` for boxes in ``[tell, end)``.
The stream is left at the next box boundary after each yielded box.
"""
if depth > _MAX_BOX_DEPTH:
return
while True:
start = stream.tell()
if start + 8 > end:
return
header = stream.read(8)
if len(header) < 8:
return
size, box_type = struct.unpack(">I4s", header)
header_size = 8
if size == 1:
# 64-bit ``largesize`` follows the type.
extended = stream.read(8)
if len(extended) < 8:
return
size = struct.unpack(">Q", extended)[0]
header_size = 16
elif size == 0:
# Box extends to the end of the enclosing container.
size = end - start
if size < header_size or start + size > end:
return
yield box_type, start + header_size, start + size
stream.seek(start + size)
def _read_iso_media_dimensions(
stream: BinaryIO, file_size: int
) -> Optional[Tuple[int, int]]:
"""Walk ``moov`` looking for the video track's dimensions."""
stream.seek(0)
moov: Optional[Tuple[int, int]] = None
for box_type, payload_start, box_end in _iter_boxes(stream, file_size):
if box_type == b"moov":
moov = (payload_start, box_end)
break
if moov is None:
return None
stream.seek(moov[0])
for box_type, payload_start, box_end in _iter_boxes(stream, moov[1], depth=1):
if box_type != b"trak":
continue
dimensions = _read_trak_dimensions(stream, payload_start, box_end)
if dimensions is not None:
return dimensions
return None
def _read_trak_dimensions(
stream: BinaryIO, trak_start: int, trak_end: int
) -> Optional[Tuple[int, int]]:
"""Return the dimensions of a ``trak`` when it describes a video track."""
stream.seek(trak_start)
is_video = False
tkhd_dimensions = _WIDTH_HEIGHT_UNSET
stsd_dimensions = _WIDTH_HEIGHT_UNSET
for box_type, payload_start, box_end in _iter_boxes(stream, trak_end, depth=2):
if box_type == b"tkhd":
tkhd_dimensions = _parse_tkhd(stream, payload_start, box_end)
elif box_type == b"mdia":
stream.seek(payload_start)
media = _read_mdia_dimensions(stream, payload_start, box_end)
if media is not None:
is_video, stsd_dimensions = media
if not is_video:
return None
# ``tkhd`` is preferred: it is display space, and its 16.16 fixed point
# encoding keeps non-integer dimensions (odd crops produce those).
for width, height in (tkhd_dimensions, stsd_dimensions):
if width > 0 and height > 0:
return int(round(width)), int(round(height))
return None
def _read_mdia_dimensions(
stream: BinaryIO, mdia_start: int, mdia_end: int
) -> Optional[Tuple[bool, Tuple[float, float]]]:
"""Return ``(is_video, dimensions)`` for a ``mdia`` box."""
handler_type = b""
stsd_dimensions = _WIDTH_HEIGHT_UNSET
for box_type, payload_start, box_end in _iter_boxes(stream, mdia_end, depth=3):
if box_type == b"hdlr":
handler_type = _parse_handler_type(stream, payload_start, box_end)
elif box_type == b"minf":
stream.seek(payload_start)
stsd_dimensions = _read_minf_dimensions(stream, payload_start, box_end)
return handler_type == b"vide", stsd_dimensions
def _read_minf_dimensions(
stream: BinaryIO, minf_start: int, minf_end: int
) -> Tuple[float, float]:
"""Return the sample-entry dimensions declared under ``minf/stbl/stsd``."""
for box_type, payload_start, box_end in _iter_boxes(stream, minf_end, depth=4):
if box_type != b"stbl":
continue
stream.seek(payload_start)
for inner_type, inner_start, inner_end in _iter_boxes(
stream, box_end, depth=5
):
if inner_type == b"stsd":
return _parse_stsd(stream, inner_start, inner_end)
return _WIDTH_HEIGHT_UNSET
def _parse_tkhd(
stream: BinaryIO, payload_start: int, box_end: int
) -> Tuple[float, float]:
"""Parse the 16.16 fixed point width/height trailer of a ``tkhd`` box."""
size = box_end - payload_start
if size < 8 or size > _MAX_HEADER_PAYLOAD:
return _WIDTH_HEIGHT_UNSET
stream.seek(box_end - 8)
trailer = stream.read(8)
if len(trailer) < 8:
return _WIDTH_HEIGHT_UNSET
width, height = struct.unpack(">II", trailer)
return width / 65536.0, height / 65536.0
def _parse_handler_type(
stream: BinaryIO, payload_start: int, box_end: int
) -> bytes:
"""Parse the handler type from an ``hdlr`` box.
Layout: version/flags (4) + pre_defined (4) + handler_type (4).
"""
if box_end - payload_start < 12:
return b""
stream.seek(payload_start)
data = stream.read(12)
if len(data) < 12:
return b""
return data[8:12]
def _parse_stsd(
stream: BinaryIO, payload_start: int, box_end: int
) -> Tuple[float, float]:
"""Parse the visual sample entry dimensions from an ``stsd`` box.
Only the first entry is inspected: video tracks are single-entry in every
container we import from.
"""
if box_end - payload_start < 16:
return _WIDTH_HEIGHT_UNSET
stream.seek(payload_start)
header = stream.read(8) # version/flags + entry_count
if len(header) < 8:
return _WIDTH_HEIGHT_UNSET
entry_start = payload_start + 8
if entry_start + 8 > box_end:
return _WIDTH_HEIGHT_UNSET
stream.seek(entry_start)
entry_header = stream.read(8)
if len(entry_header) < 8:
return _WIDTH_HEIGHT_UNSET
entry_size = struct.unpack(">I", entry_header[:4])[0]
header_size = 8
if entry_size == 1:
extended = stream.read(8)
if len(extended) < 8:
return _WIDTH_HEIGHT_UNSET
entry_size = struct.unpack(">Q", extended)[0]
header_size = 16
elif entry_size == 0:
entry_size = box_end - entry_start
if entry_size < header_size + 8 or entry_start + entry_size > box_end:
return _WIDTH_HEIGHT_UNSET
# Visual sample entries: 6 bytes reserved + 2 bytes data_reference_index,
# then width (2) and height (2).
stream.seek(entry_start + header_size + 6 + 2)
dimensions = stream.read(4)
if len(dimensions) < 4:
return _WIDTH_HEIGHT_UNSET
width, height = struct.unpack(">HH", dimensions)
return float(width), float(height)
# --------------------------------------------------------------------------- #
# WebM / Matroska (EBML)
# --------------------------------------------------------------------------- #
# EBML element IDs (stored with their length marker, as they appear on disk).
_ID_SEGMENT = 0x18538067
_ID_TRACKS = 0x1654AE6B
_ID_TRACK_ENTRY = 0xAE
_ID_TRACK_TYPE = 0x83
_ID_VIDEO = 0xE0
_ID_PIXEL_WIDTH = 0xB0
_ID_PIXEL_HEIGHT = 0xBA
# Nested containers we descend into while hunting for video dimensions.
_EBML_CONTAINER_IDS = frozenset({_ID_SEGMENT, _ID_TRACKS, _ID_TRACK_ENTRY})
def _read_ebml_vint(stream: BinaryIO, *, keep_marker: bool) -> Optional[Tuple[int, int]]:
"""Read an EBML variable-length integer.
Returns ``(value, byte_length)``. For element IDs the marker bit is kept
(``keep_marker=True``) because IDs are compared in their on-disk form; for
sizes the marker is stripped to yield the actual payload length.
"""
first = stream.read(1)
if not first:
return None
first_byte = first[0]
if first_byte == 0:
return None
length = 1
mask = 0x80
while not first_byte & mask:
mask >>= 1
length += 1
if length > 8:
return None
value = first_byte if keep_marker else first_byte & (mask - 1)
remaining = length - 1
if remaining:
extra = stream.read(remaining)
if len(extra) < remaining:
return None
for byte in extra:
value = (value << 8) | byte
return value, length
def _read_ebml_dimensions(
stream: BinaryIO, file_size: int
) -> Optional[Tuple[int, int]]:
"""Parse ``Segment/Tracks`` for the first video ``TrackEntry``."""
stream.seek(0)
header = stream.read(4)
if header != _EBML_MAGIC:
return None
return _walk_ebml(stream, 0, file_size, depth=0)
def _walk_ebml(
stream: BinaryIO, start: int, end: int, *, depth: int
) -> Optional[Tuple[int, int]]:
"""Recursively scan EBML elements in ``[start, end)`` for video dimensions."""
if depth > _MAX_EBML_DEPTH:
return None
stream.seek(start)
while stream.tell() < end:
element_start = stream.tell()
element_id = _read_ebml_vint(stream, keep_marker=True)
if element_id is None:
return None
element_id_value = element_id[0]
size_field = _read_ebml_vint(stream, keep_marker=False)
if size_field is None:
return None
payload_size, size_length = size_field
payload_start = element_start + element_id[1] + size_length
# A size field of all-ones marks an unknown-size element, which is
# legal for Segment/Tracks; treat it as "until the parent ends".
unknown_size = payload_size == (1 << (7 * size_length)) - 1
payload_end = end if unknown_size else payload_start + payload_size
if payload_end > end:
return None
if element_id_value == _ID_VIDEO:
dimensions = _read_ebml_video(stream, payload_start, min(payload_end, end))
if dimensions is not None:
return dimensions
elif element_id_value == _ID_TRACK_ENTRY:
track = _read_ebml_track_entry(
stream, payload_start, min(payload_end, end)
)
if track is not None:
return track
elif element_id_value in _EBML_CONTAINER_IDS:
found = _walk_ebml(
stream, payload_start, min(payload_end, end), depth=depth + 1
)
if found is not None:
return found
if unknown_size:
# Cannot resume after an unknown-size element; its siblings cannot
# be located reliably, so stop scanning this level.
return None
stream.seek(payload_end)
return None
def _read_ebml_track_entry(
stream: BinaryIO, start: int, end: int
) -> Optional[Tuple[int, int]]:
"""Return dimensions when a ``TrackEntry`` is a video track."""
track_type: Optional[int] = None
dimensions: Optional[Tuple[int, int]] = None
stream.seek(start)
while stream.tell() < end:
element_start = stream.tell()
element_id = _read_ebml_vint(stream, keep_marker=True)
if element_id is None:
return None
size_field = _read_ebml_vint(stream, keep_marker=False)
if size_field is None:
return None
payload_size, size_length = size_field
payload_start = element_start + element_id[1] + size_length
payload_end = min(payload_start + payload_size, end)
if element_id[0] == _ID_TRACK_TYPE:
track_type = _read_ebml_uint(stream, payload_start, payload_end)
elif element_id[0] == _ID_VIDEO:
dimensions = _read_ebml_video(stream, payload_start, payload_end)
stream.seek(payload_end)
# Track type 1 is video.
if track_type == 1 and dimensions is not None:
return dimensions
return None
def _read_ebml_video(
stream: BinaryIO, start: int, end: int
) -> Optional[Tuple[int, int]]:
"""Return ``PixelWidth``/``PixelHeight`` from a ``Video`` element."""
width: Optional[int] = None
height: Optional[int] = None
stream.seek(start)
while stream.tell() < end:
element_start = stream.tell()
element_id = _read_ebml_vint(stream, keep_marker=True)
if element_id is None:
return None
size_field = _read_ebml_vint(stream, keep_marker=False)
if size_field is None:
return None
payload_size, size_length = size_field
payload_start = element_start + element_id[1] + size_length
payload_end = min(payload_start + payload_size, end)
if element_id[0] == _ID_PIXEL_WIDTH:
width = _read_ebml_uint(stream, payload_start, payload_end)
elif element_id[0] == _ID_PIXEL_HEIGHT:
height = _read_ebml_uint(stream, payload_start, payload_end)
stream.seek(payload_end)
if width and height and width > 0 and height > 0:
return width, height
return None
def _read_ebml_uint(stream: BinaryIO, start: int, end: int) -> Optional[int]:
"""Read an unsigned big-endian integer element payload."""
length = end - start
if length <= 0 or length > 8:
return None
stream.seek(start)
raw = stream.read(length)
if len(raw) < length:
return None
value = 0
for byte in raw:
value = (value << 8) | byte
return value
# --------------------------------------------------------------------------- #
# RIFF / WebP (animated examples are often renamed to ``.mp4``)
# --------------------------------------------------------------------------- #
def _read_riff_webp_dimensions(
stream: BinaryIO, file_size: int
) -> Optional[Tuple[int, int]]:
"""Return dimensions from a WebP file's first dimension-bearing chunk."""
stream.seek(12)
while stream.tell() + 8 <= file_size:
header = stream.read(8)
if len(header) < 8:
return None
fourcc, chunk_size = struct.unpack("<4sI", header)
payload_start = stream.tell()
if fourcc == b"VP8X":
payload = stream.read(10)
if len(payload) < 10:
return None
# Canvas size is stored minus one, as 24-bit little endian values.
width = int.from_bytes(payload[4:7], "little") + 1
height = int.from_bytes(payload[7:10], "little") + 1
return width, height
if fourcc == b"VP8 ":
# Frame tag (3 bytes, bit 0 = key frame) then the key frame start
# code 0x9d 0x01 0x2a and the 16-bit dimensions.
payload = stream.read(10)
if len(payload) < 10:
return None
start = payload.find(b"\x9d\x01\x2a")
if start < 0 or start + 7 > len(payload):
return None
width, height = struct.unpack("<HH", payload[start + 3 : start + 7])
return width & 0x3FFF, height & 0x3FFF
if fourcc == b"VP8L":
payload = stream.read(5)
if len(payload) < 5 or payload[0] != 0x2F:
return None
bits = int.from_bytes(payload[1:5], "little")
return (bits & 0x3FFF) + 1, ((bits >> 14) & 0x3FFF) + 1
# Skip this chunk (payloads are padded to an even byte boundary).
stream.seek(payload_start + chunk_size + (chunk_size & 1))
return None
+15
View File
@@ -333,6 +333,21 @@ def mock_websocket_manager():
return RecordingWebSocketManager()
@pytest.fixture(autouse=True)
def reset_media_dimension_caches():
"""Clear path-keyed dimension caches so files reused across tests re-probe."""
from py.utils.exif_utils import _get_image_dimensions_cached
from py.utils.video_metadata import _clear_video_dimensions_cache
_get_image_dimensions_cached.cache_clear()
_clear_video_dimensions_cache()
yield
_get_image_dimensions_cached.cache_clear()
_clear_video_dimensions_cache()
@pytest.fixture(autouse=True)
def reset_singletons():
"""Reset all singletons before each test to ensure isolation."""
+125
View File
@@ -9,6 +9,7 @@ from typing import Any, Dict, List, Tuple
import pytest
from py.utils import example_images_metadata as metadata_module
from tests.utils.test_video_dimension_probe import build_mp4, build_webm
class StubScanner:
@@ -217,3 +218,127 @@ async def test_update_metadata_from_local_examples_generates_entries(monkeypatch
)
assert success is True
assert model_data["civitai"]["images"]
async def test_update_metadata_after_import_uses_real_video_dimensions(
monkeypatch: pytest.MonkeyPatch, tmp_path, patch_metadata_manager
):
"""Regression: imported videos must not fall back to the 720x1280 default.
See issue #1115 — landscape videos were stored as portrait, so the showcase
viewer letterboxed them into a 9:16 container.
"""
model_hash = "d" * 64
model_file = tmp_path / "video-model.safetensors"
model_file.write_text("content", encoding="utf-8")
model_data = {
"model_name": "VideoExample",
"file_path": str(model_file),
"civitai": {},
}
scanner = StubScanner([model_data])
video_path = tmp_path / "custom_abc.mp4"
video_path.write_bytes(build_mp4(1280, 720))
monkeypatch.setattr(metadata_module.ExifUtils, "extract_image_metadata", staticmethod(lambda _path: None))
_regular, custom = await metadata_module.MetadataUpdater.update_metadata_after_import(
model_hash,
model_data,
scanner,
[(str(video_path), "abc")],
)
assert custom[0]["type"] == "video"
assert (custom[0]["width"], custom[0]["height"]) == (1280, 720)
assert patch_metadata_manager[-1][1]["civitai"]["customImages"][0]["width"] == 1280
async def test_update_metadata_after_import_uses_real_webm_dimensions(
monkeypatch: pytest.MonkeyPatch, tmp_path, patch_metadata_manager
):
model_hash = "e" * 64
model_file = tmp_path / "webm-model.safetensors"
model_file.write_text("content", encoding="utf-8")
model_data = {
"model_name": "WebmExample",
"file_path": str(model_file),
"civitai": {},
}
video_path = tmp_path / "custom_def.webm"
video_path.write_bytes(build_webm(480, 832))
monkeypatch.setattr(metadata_module.ExifUtils, "extract_image_metadata", staticmethod(lambda _path: None))
_regular, custom = await metadata_module.MetadataUpdater.update_metadata_after_import(
model_hash,
model_data,
StubScanner([model_data]),
[(str(video_path), "def")],
)
assert (custom[0]["width"], custom[0]["height"]) == (480, 832)
async def test_update_metadata_after_import_falls_back_for_unreadable_video(
monkeypatch: pytest.MonkeyPatch, tmp_path, patch_metadata_manager
):
"""An unparsable video keeps the legacy placeholder rather than failing."""
model_hash = "f" * 64
model_file = tmp_path / "broken-model.safetensors"
model_file.write_text("content", encoding="utf-8")
model_data = {
"model_name": "BrokenExample",
"file_path": str(model_file),
"civitai": {},
}
video_path = tmp_path / "custom_ghi.mp4"
video_path.write_bytes(b"\x00\x00\x00\x20ftypisom" + b"\xff" * 32)
monkeypatch.setattr(metadata_module.ExifUtils, "extract_image_metadata", staticmethod(lambda _path: None))
_regular, custom = await metadata_module.MetadataUpdater.update_metadata_after_import(
model_hash,
model_data,
StubScanner([model_data]),
[(str(video_path), "ghi")],
)
assert (custom[0]["width"], custom[0]["height"]) == (720, 1280)
async def test_update_metadata_from_local_examples_uses_real_video_dimensions(
monkeypatch: pytest.MonkeyPatch, tmp_path
):
model_hash = "1" * 64
model_dir = tmp_path / model_hash
model_dir.mkdir()
(model_dir / "clip.mp4").write_bytes(build_mp4(1920, 1080))
model_data: Dict[str, Any] = {
"model_name": "LocalVideo",
"civitai": {},
"file_path": str(tmp_path / "model.safetensors"),
}
async def fake_save(path, metadata):
return True
monkeypatch.setattr(metadata_module.MetadataManager, "save_metadata", staticmethod(fake_save))
success = await metadata_module.MetadataUpdater.update_metadata_from_local_examples(
model_hash,
model_data,
"lora",
StubScanner([model_data]),
str(model_dir),
)
assert success is True
entry = model_data["civitai"]["images"][0]
assert entry["type"] == "video"
assert (entry["width"], entry["height"]) == (1920, 1080)
@@ -177,3 +177,156 @@ async def test_migrations_run_and_update_progress(tmp_path, monkeypatch):
update_args = lora_scanner.update_calls[0]
assert update_args[0] == str(metadata_path)
assert update_args[2]["civitai"]["customImages"][0]["id"] == "short1234"
@pytest.mark.asyncio
async def test_v2_to_v3_migration_repairs_video_dimensions(tmp_path, monkeypatch):
"""Upgrading a library already at v2 backfills local video dimensions once.
This mirrors the real upgrade path for issue #1115: the naming migration is
already done, but imported videos still carry the 720x1280 placeholder.
"""
from tests.utils.test_video_dimension_probe import build_mp4
example_root = tmp_path / "example_images"
library_root = example_root / "main"
library_root.mkdir(parents=True)
progress_path = library_root / ".download_progress.json"
progress_path.write_text(json.dumps({"naming_version": 2}))
model_hash = "d" * 64
model_folder = library_root / model_hash
model_folder.mkdir()
# Landscape clip stored during the buggy import path.
(model_folder / "custom_land1.mp4").write_bytes(build_mp4(1280, 720))
model_file = tmp_path / "models" / "video.safetensors"
model_file.parent.mkdir()
model_file.write_text("weights", encoding="utf-8")
scanner = FakeScanner(
{
model_hash: {
"sha256": model_hash,
"file_path": str(model_file),
"civitai": {
"images": [
{"url": "https://example.com/remote.jpg", "type": "image", "width": 512, "height": 512}
],
"customImages": [
{"url": "", "id": "land1", "type": "video", "width": 720, "height": 1280}
],
},
}
}
)
async def fake_get_lora_scanner(cls):
return scanner
async def fake_get_checkpoint_scanner(cls):
return FakeScanner({})
monkeypatch.setattr(
migration_module.ServiceRegistry, "get_lora_scanner", classmethod(fake_get_lora_scanner)
)
monkeypatch.setattr(
migration_module.ServiceRegistry,
"get_checkpoint_scanner",
classmethod(fake_get_checkpoint_scanner),
)
monkeypatch.setattr(
migration_module.settings,
"get",
lambda key, default=None: str(example_root) if key == "example_images_path" else default,
)
monkeypatch.setattr(
migration_module,
"iter_library_roots",
lambda: [("main", str(library_root))],
)
saved_metadata = []
async def fake_save_metadata(path, metadata):
saved_metadata.append((path, metadata))
return True
async def fake_load_payload(path):
return {
"model_name": "Video",
"civitai": {
"images": [
{"url": "https://example.com/remote.jpg", "type": "image", "width": 512, "height": 512}
],
"customImages": [
{"url": "", "id": "land1", "type": "video", "width": 720, "height": 1280}
],
},
}
monkeypatch.setattr(
migration_module.MetadataManager, "save_metadata", staticmethod(fake_save_metadata)
)
monkeypatch.setattr(
migration_module.MetadataManager, "load_metadata_payload", staticmethod(fake_load_payload)
)
scheduled = []
original_create_task = asyncio.create_task
def capture_create_task(coro, *args, **kwargs):
task = original_create_task(coro, *args, **kwargs)
scheduled.append(task)
return task
monkeypatch.setattr(migration_module.asyncio, "create_task", capture_create_task)
await migration_module.ExampleImagesMigration.check_and_run_migrations()
await asyncio.gather(*scheduled)
assert len(saved_metadata) == 1
_path, payload = saved_metadata[0]
entry = payload["civitai"]["customImages"][0]
assert (entry["width"], entry["height"]) == (1280, 720)
# Remote-backed entry is untouched.
assert payload["civitai"]["images"][0]["width"] == 512
assert json.loads(progress_path.read_text())["naming_version"] == 3
@pytest.mark.asyncio
async def test_v3_migration_does_not_run_twice(tmp_path, monkeypatch):
"""The version gate keeps the repair off the startup path after one run."""
example_root = tmp_path / "example_images"
library_root = example_root / "main"
library_root.mkdir(parents=True)
(library_root / ".download_progress.json").write_text(json.dumps({"naming_version": 3}))
monkeypatch.setattr(
migration_module.settings,
"get",
lambda key, default=None: str(example_root) if key == "example_images_path" else default,
)
monkeypatch.setattr(
migration_module,
"iter_library_roots",
lambda: [("main", str(library_root))],
)
called = []
async def spy_run_migrations(*args, **kwargs):
called.append(args)
monkeypatch.setattr(
migration_module.ExampleImagesMigration, "run_migrations", staticmethod(spy_run_migrations)
)
await migration_module.ExampleImagesMigration.check_and_run_migrations()
assert called == []
@@ -0,0 +1,299 @@
"""Tests for the one-shot repair of locally imported video dimensions (issue #1115)."""
from __future__ import annotations
import json
from pathlib import Path
from typing import Any, Dict
import pytest
from py.utils import example_images_migration as migration_module
from py.utils import example_images_metadata as metadata_module
from tests.utils.test_video_dimension_probe import build_mp4
def _metadata_payload(**civitai: Any) -> Dict[str, Any]:
return {"model_name": "Example", "civitai": civitai}
def test_repair_backfills_landscape_video_dimensions(tmp_path: Path):
video = tmp_path / "custom_abc123.mp4"
video.write_bytes(build_mp4(1280, 720))
payload = _metadata_payload(
customImages=[
{
"url": "",
"id": "abc123",
"type": "video",
"width": 720,
"height": 1280,
}
]
)
repaired = metadata_module.repair_local_video_dimensions(
payload, {"abc123": str(video)}
)
assert repaired == 1
entry = payload["civitai"]["customImages"][0]
assert (entry["width"], entry["height"]) == (1280, 720)
def test_repair_handles_index_marked_images_array(tmp_path: Path):
video = tmp_path / "image_3.mp4"
video.write_bytes(build_mp4(1920, 1080))
payload = _metadata_payload(
images=[
{"url": "https://example.com/remote.png", "type": "image"},
{"url": "", "type": "video", "width": 720, "height": 1280},
{"url": "", "type": "video", "width": 720, "height": 1280},
{"url": "", "type": "video", "width": 720, "height": 1280},
]
)
repaired = metadata_module.repair_local_video_dimensions(
payload, {"3": str(video)}
)
assert repaired == 1
# Position 3 (index 3) is the one carrying the local file.
assert payload["civitai"]["images"][3]["width"] == 1920
assert payload["civitai"]["images"][3]["height"] == 1080
# The remote entry keeps its API-provided shape.
assert payload["civitai"]["images"][0].get("width") is None
def test_repair_never_touches_remote_entries(tmp_path: Path):
"""Remote entries keep API-provided dimensions even if a file exists."""
video = tmp_path / "custom_remote.mp4"
video.write_bytes(build_mp4(1280, 720))
payload = _metadata_payload(
customImages=[
{
"url": "https://civitai.com/1234.mp4",
"id": "remote",
"type": "video",
"width": 720,
"height": 1280,
}
]
)
before = json.dumps(payload, sort_keys=True)
repaired = metadata_module.repair_local_video_dimensions(
payload, {"remote": str(video)}
)
assert repaired == 0
assert json.dumps(payload, sort_keys=True) == before
def test_repair_is_idempotent(tmp_path: Path):
video = tmp_path / "custom_abc.mp4"
video.write_bytes(build_mp4(1280, 720))
payload = _metadata_payload(
customImages=[{"url": "", "id": "abc", "type": "video", "width": 720, "height": 1280}]
)
files = {"abc": str(video)}
assert metadata_module.repair_local_video_dimensions(payload, files) == 1
# Second run finds nothing to do and leaves the entry byte-identical.
snapshot = json.dumps(payload, sort_keys=True)
assert metadata_module.repair_local_video_dimensions(payload, files) == 0
assert json.dumps(payload, sort_keys=True) == snapshot
def test_repair_dry_run_does_not_mutate(tmp_path: Path):
video = tmp_path / "custom_abc.mp4"
video.write_bytes(build_mp4(1280, 720))
payload = _metadata_payload(
customImages=[{"url": "", "id": "abc", "type": "video", "width": 720, "height": 1280}]
)
before = json.dumps(payload, sort_keys=True)
repaired = metadata_module.repair_local_video_dimensions(
payload, {"abc": str(video)}, dry_run=True
)
assert repaired == 1
assert json.dumps(payload, sort_keys=True) == before
def test_repair_skips_missing_file(tmp_path: Path):
payload = _metadata_payload(
customImages=[{"url": "", "id": "gone", "type": "video", "width": 720, "height": 1280}]
)
repaired = metadata_module.repair_local_video_dimensions(
payload, {"gone": str(tmp_path / "does-not-exist.mp4")}
)
assert repaired == 0
assert payload["civitai"]["customImages"][0]["width"] == 720
def test_repair_leaves_correct_entries_untouched(tmp_path: Path):
video = tmp_path / "custom_ok.mp4"
video.write_bytes(build_mp4(1280, 720))
payload = _metadata_payload(
customImages=[{"url": "", "id": "ok", "type": "video", "width": 1280, "height": 720}]
)
assert metadata_module.repair_local_video_dimensions(payload, {"ok": str(video)}) == 0
def test_local_file_map_keys_strip_naming_prefix(tmp_path: Path):
(tmp_path / "custom_abc.mp4").write_bytes(build_mp4(1280, 720))
(tmp_path / "image_2.png").write_bytes(b"not-a-real-image")
(tmp_path / "notes.txt").write_text("ignore me", encoding="utf-8")
mapping = migration_module.ExampleImagesMigration._build_local_file_map(str(tmp_path))
assert set(mapping) == {"abc", "2"}
async def test_migrate_to_v3_repairs_and_syncs_cache(tmp_path: Path, monkeypatch):
model_hash = "a" * 64
folder = tmp_path / model_hash
folder.mkdir()
(folder / "custom_xyz.mp4").write_bytes(build_mp4(1080, 1920))
model_file = tmp_path / "model.safetensors"
model_file.write_text("weights", encoding="utf-8")
payload = _metadata_payload(
customImages=[{"url": "", "id": "xyz", "type": "video", "width": 720, "height": 1280}]
)
saved: list[tuple[str, Dict[str, Any]]] = []
async def fake_load(file_path):
return dict(payload, civitai=dict(payload["civitai"]))
async def fake_save(file_path, data):
saved.append((file_path, data))
return True
synced: list[tuple[str, Dict[str, Any]]] = []
async def fake_sync(scanner, file_path, data):
synced.append((file_path, data))
return True
class StubScanner:
def has_hash(self, _hash):
return True
async def get_cached_data(self):
from types import SimpleNamespace
return SimpleNamespace(raw_data=[{"sha256": model_hash, "file_path": str(model_file)}])
monkeypatch.setattr(migration_module.MetadataManager, "load_metadata_payload", fake_load)
monkeypatch.setattr(migration_module.MetadataManager, "save_metadata", fake_save)
monkeypatch.setattr(migration_module, "update_cache_from_metadata", fake_sync)
async def fake_lora():
return StubScanner()
async def fake_none():
return None
monkeypatch.setattr(migration_module.ServiceRegistry, "get_lora_scanner", fake_lora)
monkeypatch.setattr(migration_module.ServiceRegistry, "get_checkpoint_scanner", fake_none)
monkeypatch.setattr(migration_module.ServiceRegistry, "get_embedding_scanner", fake_none)
await migration_module.ExampleImagesMigration._migrate_to_v3(
str(tmp_path), [str(folder)]
)
assert len(saved) == 1
saved_entry = saved[0][1]["civitai"]["customImages"][0]
assert (saved_entry["width"], saved_entry["height"]) == (1080, 1920)
assert len(synced) == 1
assert synced[0][1]["civitai"]["customImages"][0]["width"] == 1080
async def test_migrate_to_v3_skips_when_nothing_to_repair(tmp_path: Path, monkeypatch):
model_hash = "b" * 64
folder = tmp_path / model_hash
folder.mkdir()
(folder / "custom_ok.mp4").write_bytes(build_mp4(1080, 1920))
model_file = tmp_path / "model.safetensors"
model_file.write_text("weights", encoding="utf-8")
payload = _metadata_payload(
customImages=[{"url": "", "id": "ok", "type": "video", "width": 1080, "height": 1920}]
)
saved: list[Any] = []
async def fake_load(file_path):
return dict(payload, civitai=dict(payload["civitai"]))
async def fake_save(file_path, data):
saved.append(data)
return True
class StubScanner:
def has_hash(self, _hash):
return True
async def get_cached_data(self):
from types import SimpleNamespace
return SimpleNamespace(raw_data=[{"sha256": model_hash, "file_path": str(model_file)}])
monkeypatch.setattr(migration_module.MetadataManager, "load_metadata_payload", fake_load)
monkeypatch.setattr(migration_module.MetadataManager, "save_metadata", fake_save)
async def fake_lora():
return StubScanner()
async def fake_none():
return None
monkeypatch.setattr(migration_module.ServiceRegistry, "get_lora_scanner", fake_lora)
monkeypatch.setattr(migration_module.ServiceRegistry, "get_checkpoint_scanner", fake_none)
monkeypatch.setattr(migration_module.ServiceRegistry, "get_embedding_scanner", fake_none)
await migration_module.ExampleImagesMigration._migrate_to_v3(str(tmp_path), [str(folder)])
# Correctly-sized entries are never rewritten.
assert saved == []
async def test_migrate_to_v3_skips_unindexed_model(tmp_path: Path, monkeypatch):
"""A folder whose model is absent from every scanner cache is skipped, not fatal."""
model_hash = "c" * 64
folder = tmp_path / model_hash
folder.mkdir()
(folder / "custom_zzz.mp4").write_bytes(build_mp4(1080, 1920))
class EmptyScanner:
def has_hash(self, _hash):
return False
async def get_cached_data(self):
from types import SimpleNamespace
return SimpleNamespace(raw_data=[])
async def fake_scanner():
return EmptyScanner()
monkeypatch.setattr(migration_module.ServiceRegistry, "get_lora_scanner", fake_scanner)
monkeypatch.setattr(migration_module.ServiceRegistry, "get_checkpoint_scanner", fake_scanner)
monkeypatch.setattr(migration_module.ServiceRegistry, "get_embedding_scanner", fake_scanner)
# Must not raise.
await migration_module.ExampleImagesMigration._migrate_to_v3(str(tmp_path), [str(folder)])
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"""Tests for the container-level video dimension probe."""
from __future__ import annotations
import struct
from py.utils.video_metadata import get_video_dimensions
def _box(box_type: bytes, payload: bytes) -> bytes:
return struct.pack(">I", len(payload) + 8) + box_type + payload
def _full_box(box_type: bytes, payload: bytes) -> bytes:
"""Build a box with a 4-byte version/flags header."""
return _box(box_type, b"\x00\x00\x00\x00" + payload)
def build_mp4(width: int, height: int, *, with_stsd: bool = False) -> bytes:
"""Build a minimal but structurally valid MP4 holding one video track."""
mvhd = _full_box(b"mvhd", b"\x00" * 96)
hdlr = _full_box(b"hdlr", b"\x00" * 4 + b"vide" + b"\x00" * 12)
tkhd_payload = struct.pack(">IIII", 0, 0, 0, 0) + b"\x00" * 52
tkhd_payload += struct.pack(">II", width << 16, height << 16)
tkhd = _full_box(b"tkhd", tkhd_payload)
stbl_children = b""
if with_stsd:
sample_entry = (
b"\x00" * 6 + struct.pack(">H", 1) + struct.pack(">HH", width, height)
)
stsd = _full_box(b"stsd", struct.pack(">I", 1) + _box(b"avc1", sample_entry))
stbl_children = stsd
minf = _box(b"minf", _box(b"stbl", stbl_children))
mdia = _box(b"mdia", hdlr + minf)
trak = _box(b"trak", tkhd + mdia)
moov = _box(b"moov", mvhd + trak)
ftyp = _box(b"ftyp", b"isom" + b"\x00\x00\x02\x00" + b"isomiso2avc1mp41")
return ftyp + moov
def _ebml_vint(value: int) -> bytes:
"""Encode a value as a minimal-length EBML variable length integer."""
for length in range(1, 9):
if value < (1 << (7 * length)):
encoded = value | (1 << (7 * length))
return encoded.to_bytes(length, "big")
raise ValueError("value too large for an EBML vint")
def _ebml_element(element_id: bytes, payload: bytes) -> bytes:
return element_id + _ebml_vint(len(payload)) + payload
def _uint_element(element_id: int, value: int) -> bytes:
length = max(1, (value.bit_length() + 7) // 8)
return _ebml_element(
element_id.to_bytes(2, "big") if element_id > 0xFF else element_id.to_bytes(1, "big"),
value.to_bytes(length, "big"),
)
def build_webm(width: int, height: int, *, track_type: int = 1) -> bytes:
"""Build a minimal WebM file holding one TrackEntry."""
video = _ebml_element(b"\xe0", _uint_element(0xB0, width) + _uint_element(0xBA, height))
track_entry = _ebml_element(
b"\xae", _uint_element(0x83, track_type) + video
)
tracks = _ebml_element(b"\x16\x54\xae\x6b", track_entry)
segment = _ebml_element(b"\x18\x53\x80\x67", tracks)
ebml_header = _ebml_element(
b"\x1a\x45\xdf\xa3",
_uint_element(0x4286, 1) + _ebml_element(b"\x42\x82", b"webm"),
)
return ebml_header + segment
def test_mp4_dimensions_come_from_tkhd(tmp_path):
video = tmp_path / "landscape.mp4"
video.write_bytes(build_mp4(1280, 720))
assert get_video_dimensions(str(video)) == (1280, 720)
def test_mp4_uses_stsd_when_tkhd_is_empty(tmp_path):
video = tmp_path / "stsd-only.mp4"
video.write_bytes(build_mp4(640, 480, with_stsd=True))
assert get_video_dimensions(str(video)) == (640, 480)
def test_mp4_without_video_track_returns_none(tmp_path):
# A moov whose only trak has no mdia box at all.
tkhd = _full_box(b"tkhd", b"\x00" * 60)
moov = _box(b"moov", _box(b"trak", tkhd))
video = tmp_path / "audio-only.mp4"
video.write_bytes(moov)
assert get_video_dimensions(str(video)) is None
def test_webm_dimensions(tmp_path):
video = tmp_path / "portrait.webm"
video.write_bytes(build_webm(720, 1280))
assert get_video_dimensions(str(video)) == (720, 1280)
def test_webm_non_video_track_is_ignored(tmp_path):
video = tmp_path / "audio.webm"
video.write_bytes(build_webm(720, 1280, track_type=2))
assert get_video_dimensions(str(video)) is None
def test_container_signature_wins_over_extension(tmp_path):
"""A WebM file named ``.mp4`` is still parsed as WebM."""
video = tmp_path / "actually-webm.mp4"
video.write_bytes(build_webm(480, 832))
assert get_video_dimensions(str(video)) == (480, 832)
def test_webp_renamed_to_mp4_is_read(tmp_path):
"""Animated WebP examples are frequently saved with a video extension."""
vp8_payload = b"\x30\x36\x02" + b"\x9d\x01\x2a" + struct.pack("<HH", 450, 800)
chunk = b"VP8 " + struct.pack("<I", len(vp8_payload)) + vp8_payload
body = b"WEBP" + chunk
riff = b"RIFF" + struct.pack("<I", len(body)) + body
video = tmp_path / "animated.mp4"
video.write_bytes(riff)
assert get_video_dimensions(str(video)) == (450, 800)
def test_webp_vp8x_canvas_dimensions(tmp_path):
vp8x_payload = b"\x00" * 4 + (449).to_bytes(3, "little") + (799).to_bytes(3, "little")
chunk = b"VP8X" + struct.pack("<I", len(vp8x_payload)) + vp8x_payload
body = b"WEBP" + chunk
riff = b"RIFF" + struct.pack("<I", len(body)) + body
video = tmp_path / "canvas.mp4"
video.write_bytes(riff)
assert get_video_dimensions(str(video)) == (450, 800)
def test_missing_file_returns_none(tmp_path):
assert get_video_dimensions(str(tmp_path / "nope.mp4")) is None
def test_corrupt_file_returns_none(tmp_path):
video = tmp_path / "corrupt.mp4"
video.write_bytes(b"\x00\x00\x00\x20ftypisom" + b"\xff" * 64)
assert get_video_dimensions(str(video)) is None
def test_unsupported_extension_without_video_signature_returns_none(tmp_path):
"""A non-video file is not probed just because of a video-like name."""
video = tmp_path / "clip.avi"
video.write_bytes(b"RIFF\x00\x00\x00\x00AVI LIST\x00\x00\x00\x00")
assert get_video_dimensions(str(video)) is None