fix: QA sweep — 7 bugs fixed, 17 test corrections

Code fixes:
- Sidebar state bleed: reset file store on HomePage mount
- restore-photo: raise error instead of silently skipping colorize
  when DDColor model missing
- PaddleOCR OOM: cap input images to 2048px before OCR inference
- Torch CPU optimization: use --index-url .../whl/cpu on CPU nodes

Test fixes:
- upscale: add exact:true to scale factor button locators
- smart-crop: add exact:true to "Pad to square" locator
- colorize: use regex for model button names (Best/Balanced/Fast)
- enhance-faces: use .first() for ambiguous percentage display
- passport-photo: fix DPI locator, .or() compound, generate fallback
- people: update maxUsers assertions for unlimited (0) default
- automate: "Save Pipeline" → "Save" matching actual button text
- tools.test: add resize to Sharp mock chain for OCR tests

packages/ai/python/install_feature.py

@@ -75,7 +75,7 @@ def cpu_fallback_packages(packages: list[str]) -> list[str]:
         # "torch==2.7.0+cu126 torchvision==0.22.0+cu126 --index-url ..."
         first_token = pkg.split()[0] if pkg.strip() else ""
         if first_token.startswith("torch==") and "+cu" in first_token:
-            # Extract torch and torchvision versions, strip CUDA suffix
+            # Extract torch and torchvision versions, use CPU-only index
             cpu_pkgs = []
             for token in pkg.split():
                 if token.startswith("torch==") and "+cu" in token:
@@ -84,7 +84,9 @@ def cpu_fallback_packages(packages: list[str]) -> list[str]:
                 elif token.startswith("torchvision==") and "+cu" in token:
                     base_ver = token.split("+")[0]  # "torchvision==0.21.0"
                     cpu_pkgs.append(base_ver)
-                # Drop --index-url and its argument (not needed for CPU torch)
+            # Use CPU-only wheels (~200MB vs ~2.6GB with CUDA)
+            cpu_pkgs.append("--index-url")
+            cpu_pkgs.append("https://download.pytorch.org/whl/cpu")
             result.extend(cpu_pkgs)
             continue
 

packages/ai/python/restore.py

@@ -483,7 +483,10 @@ def colorize_bw(img_bgr, intensity=0.85):
     from gpu import safe_onnx_session
 
     if not os.path.exists(DDCOLOR_MODEL_PATH):
-        return img_bgr, False
+        raise FileNotFoundError(
+            f"DDColor model not found at {DDCOLOR_MODEL_PATH}. "
+            "Install the 'object-eraser-colorize' bundle to enable colorization."
+        )
 
     session, _device = safe_onnx_session(DDCOLOR_MODEL_PATH)
     input_name = session.get_inputs()[0].name

packages/ai/src/ocr.ts

@@ -26,12 +26,15 @@ export async function extractText(
 ): Promise<OcrResult> {
   const inputPath = join(outputDir, "input_ocr.png");
 
-  // Convert any input format (HEIC, AVIF, WebP, TIFF, etc.) to PNG
-  // so Tesseract and PaddleOCR can read it reliably.
-  const pngBuffer = await sharp(inputBuffer).png().toBuffer();
+  // Convert to PNG and cap at 2048px to prevent PaddleOCR OOM on large images.
+  const MAX_OCR_DIM = 2048;
+  const pngBuffer = await sharp(inputBuffer)
+    .resize({ width: MAX_OCR_DIM, height: MAX_OCR_DIM, fit: "inside", withoutEnlargement: true })
+    .png()
+    .toBuffer();
   await writeFile(inputPath, pngBuffer);
 
-  const meta = await sharp(inputBuffer).metadata();
+  const meta = await sharp(pngBuffer).metadata();
   const megapixels = ((meta.width ?? 0) * (meta.height ?? 0)) / 1_000_000;
   const timeout = Math.max(600_000, megapixels * 30 * 1000);