fix: disable oneDNN and support PaddleOCR 3.x format

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

paddleocr-service/main.py

@@ -5,6 +5,11 @@ import logging
 import os
 import threading
 
+# Disable oneDNN/MKLDNN before importing paddle — avoids
+# ConvertPirAttribute2RuntimeAttribute errors on PaddlePaddle 3.x
+os.environ["FLAGS_use_mkldnn"] = "0"
+os.environ["PADDLE_PDX_DISABLE_MODEL_SOURCE_CHECK"] = "1"
+
 import numpy as np
 from fastapi import FastAPI, File, Header, HTTPException, UploadFile
 from PIL import Image
@@ -30,12 +35,10 @@ def _load_model():
         logger.info("Import done. Loading PaddleOCR model...")
         # Try multiple init strategies for different PaddleOCR versions
         inits = [
-            # PaddleOCR 3.x (no show_log)
+            # PaddleOCR 3.x — use_textline_orientation replaces use_angle_cls
+            dict(lang="en", ocr_version="PP-OCRv5", use_textline_orientation=True),
+            # PaddleOCR 3.x with deprecated param
             dict(lang="en", ocr_version="PP-OCRv5", use_angle_cls=True),
-            # PaddleOCR 3.x with show_log
-            dict(lang="en", ocr_version="PP-OCRv5", use_angle_cls=True, show_log=False),
-            # PaddleOCR 2.8+ (latin)
-            dict(lang="latin", use_angle_cls=True, show_log=False),
             # PaddleOCR 2.8+ (en, no version)
             dict(lang="en", use_angle_cls=True, show_log=False),
         ]
@@ -94,26 +97,55 @@ async def ocr(
         logger.error(f"OCR failed: {e}", exc_info=True)
         raise HTTPException(status_code=500, detail=f"OCR processing failed: {e}")
 
-    if not result or not result[0]:
+    if not result:
         return {"words": [], "image_width": img_np.shape[1], "image_height": img_np.shape[0]}
 
+    # PaddleOCR 2.x returns: [[line, ...]] where line = [box, (text, conf)]
+    # PaddleOCR 3.x returns: [{'text': ..., 'boxes': [...], 'rec_scores': ...}] or similar
     words = []
-    for line in result[0]:
+    try:
-        box, (text, conf) = line[0], line[1]
+        lines = result[0] if isinstance(result, list) and result else result
-        x_min = min(p[0] for p in box)
+        if not lines:
-        y_min = min(p[1] for p in box)
+            return {"words": [], "image_width": img_np.shape[1], "image_height": img_np.shape[0]}
-        x_max = max(p[0] for p in box)
+
-        y_max = max(p[1] for p in box)
+        for line in lines:
-        words.append(
+            if isinstance(line, dict):
-            {
+                # PaddleOCR 3.x dict format
-                "text": text.strip(),
+                text = str(line.get("text", line.get("rec_text", ""))).strip()
-                "left": int(x_min),
+                conf = float(line.get("score", line.get("rec_score", 0)))
-                "top": int(y_min),
+                box = line.get("boxes", line.get("dt_polys", []))
-                "width": int(x_max - x_min),
+                if not text or not box:
-                "height": int(y_max - y_min),
+                    continue
-                "conf": round(conf * 100, 1),
+                # box might be [[x1,y1],[x2,y2],[x3,y3],[x4,y4]] or flat
-            }
+                if isinstance(box[0], (list, tuple)):
-        )
+                    x_min = min(p[0] for p in box)
+                    y_min = min(p[1] for p in box)
+                    x_max = max(p[0] for p in box)
+                    y_max = max(p[1] for p in box)
+                else:
+                    x_min, y_min, x_max, y_max = box[0], box[1], box[2], box[3]
+                words.append({
+                    "text": text,
+                    "left": int(x_min), "top": int(y_min),
+                    "width": int(x_max - x_min), "height": int(y_max - y_min),
+                    "conf": round(conf * 100 if conf <= 1 else conf, 1),
+                })
+            elif isinstance(line, (list, tuple)) and len(line) == 2:
+                # PaddleOCR 2.x format: [box, (text, conf)]
+                box, (text, conf) = line[0], line[1]
+                x_min = min(p[0] for p in box)
+                y_min = min(p[1] for p in box)
+                x_max = max(p[0] for p in box)
+                y_max = max(p[1] for p in box)
+                words.append({
+                    "text": str(text).strip(),
+                    "left": int(x_min), "top": int(y_min),
+                    "width": int(x_max - x_min), "height": int(y_max - y_min),
+                    "conf": round(float(conf) * 100 if conf <= 1 else float(conf), 1),
+                })
+    except Exception as e:
+        logger.error(f"Failed to parse OCR result: {e}. Raw: {str(result)[:500]}", exc_info=True)
+        raise HTTPException(status_code=500, detail=f"OCR result parsing failed: {e}")
 
     return {
         "words": words,