fix: a downloaded file with broken pixel data is skipped instead of ending the download run

Importer._import_media and Importer.attach_in_place each carried their own
copy of the still-image filters (verify, minimum size, transparency, single
colour) and of the phash step, and the copies had drifted: attach_in_place's
transparency check had no guard for an OSError from decoding truncated pixel
data, so that error escaped into DownloadService's per-file loop and ended the
run with the remaining files unattached; its phash step swallowed every error
and imported the broken file without a hash.

Both paths now call _screen_still and _phash_of, which turn a decode error
into an invalid_image skip.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

backend/app/services/importer.py

@@ -869,7 +869,6 @@ class Importer:
         # Compute file dimensions (images only) and apply filters.
         width = height = None
         duration = None  # video container duration (Tier-1 near-dup key, #871)
-        has_alpha = False
         if is_video(source):
             # Layer-3 isolation: validate the container via ffprobe (a
             # separate process) before the rest of the pipeline touches
@@ -888,52 +887,9 @@ class Importer:
                 )
             width, height, duration = probe.width, probe.height, probe.duration
         else:
-            try:
-                with Image.open(source) as im:
-                    im.verify()
-                with Image.open(source) as im:
-                    width, height = im.size
-                    has_alpha = im.mode in ("RGBA", "LA") or (
-                        im.mode == "P" and "transparency" in im.info
-                    )
-            except Exception as exc:
-                return ImportResult(
-                    status="skipped", skip_reason=SkipReason.invalid_image, error=str(exc),
-                )
-
-            if (self.settings.min_width and width < self.settings.min_width) or (
-                self.settings.min_height and height < self.settings.min_height
-            ):
-                return ImportResult(
-                    status="skipped", skip_reason=SkipReason.too_small,
-                    error=f"{width}x{height} below min {self.settings.min_width}x{self.settings.min_height}",
-                )
-
-            if self.settings.skip_transparent and has_alpha:
-                try:
-                    pct = self._transparency_pct(source)
-                except OSError as exc:
-                    # PIL.verify() at line 263 only validates header structure;
-                    # truncated/corrupt pixel data only surfaces when load()
-                    # actually decodes (here via getchannel('A')). Convert to
-                    # invalid_image skip so the Celery autoretry loop doesn't
-                    # bounce the same broken file forever.
-                    return ImportResult(
-                        status="skipped", skip_reason=SkipReason.invalid_image,
-                        error=f"PIL load failed during transparency check: {exc}",
-                    )
-                if pct >= self.settings.transparency_threshold:
-                    return ImportResult(
-                        status="skipped", skip_reason=SkipReason.too_transparent,
-                        error=f"{pct:.2%} transparent",
-                    )
-
-            if self.settings.skip_single_color and self._single_color_hit(source):
-                return ImportResult(
-                    status="skipped", skip_reason=SkipReason.single_color,
-                    error=(f"one color dominates >"
-                           f"{self.settings.single_color_threshold:.0%}"),
-                )
+            refusal, width, height = self._screen_still(source)
+            if refusal is not None:
+                return refusal
 
         # Artist anchored to the attribution path (folder→artist), resolved
         # UP-FRONT so the enrich-on-duplicate branches link provenance with the
@@ -958,16 +914,9 @@ class Importer:
         # Perceptual near-dup (images only; videos keep phash NULL).
         phash = None
         if not is_video(source):
-            try:
-                with Image.open(source) as im:
-                    phash = compute_phash(im)
-            except OSError as exc:
-                # Same rationale as the transparency-check guard above:
-                # broken-pixel-data files pass verify() but blow up here.
-                return ImportResult(
-                    status="skipped", skip_reason=SkipReason.invalid_image,
-                    error=f"PIL load failed during phash compute: {exc}",
-                )
+            refusal, phash = self._phash_of(source)
+            if refusal is not None:
+                return refusal
             if phash is not None:
                 candidates = self._phash_candidates_cache()
                 rel, match_id = find_similar(
@@ -1309,47 +1258,13 @@ class Importer:
                 path, post=post, artist=artist, resolved=True,
             )
 
-        # Format / dimension / transparency filters (mirror _import_media).
+        # The same content filters as _import_media.
         width = height = None
         duration = None  # video container duration (Tier-1 near-dup key, #871)
-        has_alpha = False
         if not is_video(path):
-            try:
-                with Image.open(path) as im:
-                    im.verify()
-                with Image.open(path) as im:
-                    width, height = im.size
-                    has_alpha = im.mode in ("RGBA", "LA") or (
-                        im.mode == "P" and "transparency" in im.info
-                    )
-            except Exception as exc:
-                return ImportResult(
-                    status="skipped", skip_reason=SkipReason.invalid_image,
-                    error=str(exc),
-                )
-
-            if (self.settings.min_width and width < self.settings.min_width) or (
-                self.settings.min_height and height < self.settings.min_height
-            ):
-                return ImportResult(
-                    status="skipped", skip_reason=SkipReason.too_small,
-                    error=f"{width}x{height} below min {self.settings.min_width}x{self.settings.min_height}",
-                )
-
-            if self.settings.skip_transparent and has_alpha:
-                pct = self._transparency_pct(path)
-                if pct >= self.settings.transparency_threshold:
-                    return ImportResult(
-                        status="skipped", skip_reason=SkipReason.too_transparent,
-                        error=f"{pct:.2%} transparent",
-                    )
-
-            if self.settings.skip_single_color and self._single_color_hit(path):
-                return ImportResult(
-                    status="skipped", skip_reason=SkipReason.single_color,
-                    error=(f"one color dominates >"
-                           f"{self.settings.single_color_threshold:.0%}"),
-                )
+            refusal, width, height = self._screen_still(path)
+            if refusal is not None:
+                return refusal
         else:
             # Best-effort probe for dims + duration so downloaded videos can dedup
             # (#871). LENIENT: unlike _import_media this path does not reject on a
@@ -1377,11 +1292,9 @@ class Importer:
         # phash dedup + supersede
         phash = None
         if not is_video(path):
-            try:
-                with Image.open(path) as im:
-                    phash = compute_phash(im)
-            except Exception:
-                phash = None
+            refusal, phash = self._phash_of(path)
+            if refusal is not None:
+                return refusal
             if phash is not None:
                 candidates = self._phash_candidates_cache()
                 rel, match_id = find_similar(
@@ -1890,6 +1803,81 @@ class Importer:
     # is operator-tunable per surface.
     _SINGLE_COLOR_TOLERANCE = 30
 
+    def _screen_still(
+        self, source: Path,
+    ) -> tuple[ImportResult | None, int | None, int | None]:
+        """Read a still image's size and apply the library's content filters.
+
+        Returns `(refusal, width, height)`. `refusal` is a skip result when
+        the file is not a readable image, is below the minimum size, is mostly
+        transparent or is one colour, and None when the file passes.
+
+        A file whose header verifies but whose pixel data is truncated only
+        fails once PIL decodes it, as the transparency check does. That decode
+        error is a skip too: raised, it would retry the import task forever,
+        or abort a download run in the middle of its files.
+        """
+        try:
+            with Image.open(source) as im:
+                im.verify()
+            with Image.open(source) as im:
+                width, height = im.size
+                has_alpha = im.mode in ("RGBA", "LA") or (
+                    im.mode == "P" and "transparency" in im.info
+                )
+        except Exception as exc:
+            return ImportResult(
+                status="skipped", skip_reason=SkipReason.invalid_image,
+                error=str(exc),
+            ), None, None
+
+        if (self.settings.min_width and width < self.settings.min_width) or (
+            self.settings.min_height and height < self.settings.min_height
+        ):
+            return ImportResult(
+                status="skipped", skip_reason=SkipReason.too_small,
+                error=f"{width}x{height} below min {self.settings.min_width}x{self.settings.min_height}",
+            ), width, height
+
+        if self.settings.skip_transparent and has_alpha:
+            try:
+                pct = self._transparency_pct(source)
+            except OSError as exc:
+                return ImportResult(
+                    status="skipped", skip_reason=SkipReason.invalid_image,
+                    error=f"PIL load failed during transparency check: {exc}",
+                ), width, height
+            if pct >= self.settings.transparency_threshold:
+                return ImportResult(
+                    status="skipped", skip_reason=SkipReason.too_transparent,
+                    error=f"{pct:.2%} transparent",
+                ), width, height
+
+        if self.settings.skip_single_color and self._single_color_hit(source):
+            return ImportResult(
+                status="skipped", skip_reason=SkipReason.single_color,
+                error=(f"one color dominates >"
+                       f"{self.settings.single_color_threshold:.0%}"),
+            ), width, height
+
+        return None, width, height
+
+    def _phash_of(self, source: Path) -> tuple[ImportResult | None, object]:
+        """The perceptual hash of a still image, as `(refusal, phash)`.
+
+        Hashing decodes every pixel, so this is where a file with truncated
+        pixel data can first fail; that is a skip rather than an exception,
+        for the same reason as in `_screen_still`.
+        """
+        try:
+            with Image.open(source) as im:
+                return None, compute_phash(im)
+        except OSError as exc:
+            return ImportResult(
+                status="skipped", skip_reason=SkipReason.invalid_image,
+                error=f"PIL load failed during phash compute: {exc}",
+            ), None
+
     def _single_color_hit(self, source: Path) -> bool:
         """True when one color dominates beyond the configured threshold — the
         same canonical predicate the Cleanup audit runs (audits.single_color,