fix: downgrade to PaddleOCR 2.x for CPU stability

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

.gitea/workflows/deploy-coolify.yml

@@ -0,0 +1,29 @@
+name: Deploy to Coolify
+
+on:
+  push:
+    branches:
+      - coolify
+
+jobs:
+  deploy:
+    runs-on: docker
+    container: alpine:latest
+    steps:
+      - name: Deploy via Coolify API
+        run: |
+          apk add --no-cache curl
+          echo "Deploying breakpilot-core to Coolify..."
+          HTTP_STATUS=$(curl -s -o /dev/null -w "%{http_code}" \
+            -X POST \
+            -H "Authorization: Bearer ${{ secrets.COOLIFY_API_TOKEN }}" \
+            -H "Content-Type: application/json" \
+            -d '{"uuid": "${{ secrets.COOLIFY_RESOURCE_UUID }}", "force_rebuild": true}' \
+            "${{ secrets.COOLIFY_BASE_URL }}/api/v1/deploy")
+
+          echo "HTTP Status: $HTTP_STATUS"
+          if [ "$HTTP_STATUS" -ne 200 ] && [ "$HTTP_STATUS" -ne 201 ]; then
+            echo "Deployment failed with status $HTTP_STATUS"
+            exit 1
+          fi
+          echo "Deployment triggered successfully!"

docker-compose.coolify.yml

@@ -15,6 +15,7 @@ networks:
 volumes:
   valkey_data:
   embedding_models:
+  paddleocr_models:
 
 services:
 
@@ -141,6 +142,37 @@ services:
     networks:
       - breakpilot-network
 
+  # =========================================================
+  # OCR SERVICE (PaddleOCR PP-OCRv5)
+  # =========================================================
+  paddleocr-service:
+    build:
+      context: ./paddleocr-service
+      dockerfile: Dockerfile
+    container_name: bp-core-paddleocr
+    expose:
+      - "8095"
+    environment:
+      PADDLEOCR_API_KEY: ${PADDLEOCR_API_KEY:-}
+      FLAGS_use_mkldnn: "0"
+    volumes:
+      - paddleocr_models:/root/.paddleocr
+    labels:
+      - "traefik.http.services.paddleocr.loadbalancer.server.port=8095"
+    deploy:
+      resources:
+        limits:
+          memory: 6G
+    healthcheck:
+      test: ["CMD", "curl", "-f", "http://127.0.0.1:8095/health"]
+      interval: 30s
+      timeout: 10s
+      start_period: 300s
+      retries: 5
+    restart: unless-stopped
+    networks:
+      - breakpilot-network
+
   # =========================================================
   # HEALTH AGGREGATOR
   # =========================================================
@@ -153,7 +185,7 @@ services:
       - "8099"
     environment:
       PORT: 8099
-      CHECK_SERVICES: "valkey:6379,consent-service:8081,rag-service:8097,embedding-service:8087"
+      CHECK_SERVICES: "valkey:6379,consent-service:8081,rag-service:8097,embedding-service:8087,paddleocr-service:8095"
     healthcheck:
       test: ["CMD", "curl", "-f", "http://127.0.0.1:8099/health"]
       interval: 30s

paddleocr-service/Dockerfile

@@ -0,0 +1,16 @@
+FROM python:3.11-slim
+WORKDIR /app
+
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    libgl1 libglib2.0-0 libgomp1 curl \
+    && rm -rf /var/lib/apt/lists/*
+
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+
+COPY . .
+
+EXPOSE 8095
+HEALTHCHECK --interval=30s --timeout=10s --start-period=120s --retries=3 \
+    CMD curl -f http://127.0.0.1:8095/health || exit 1
+CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8095"]

paddleocr-service/main.py

@@ -0,0 +1,110 @@
+"""PaddleOCR Remote Service — PP-OCRv4 on x86_64 (CPU)."""
+
+import io
+import logging
+import os
+import threading
+
+import numpy as np
+from fastapi import FastAPI, File, Header, HTTPException, UploadFile
+from PIL import Image
+
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
+
+app = FastAPI(title="PaddleOCR Service")
+
+_engine = None
+_ready = False
+_loading = False
+API_KEY = os.environ.get("PADDLEOCR_API_KEY", "")
+
+
+def _load_model():
+    """Load PaddleOCR model in background thread."""
+    global _engine, _ready
+    try:
+        logger.info("Importing paddleocr...")
+        from paddleocr import PaddleOCR
+
+        logger.info("Loading PaddleOCR model (PP-OCRv4, lang=en)...")
+        _engine = PaddleOCR(
+            lang="en",
+            use_angle_cls=True,
+            show_log=False,
+            enable_mkldnn=False,
+            use_gpu=False,
+        )
+        logger.info("PaddleOCR model loaded — running warmup...")
+        # Warmup with tiny image to trigger any lazy init
+        dummy = np.ones((30, 100, 3), dtype=np.uint8) * 255
+        _engine.ocr(dummy)
+        _ready = True
+        logger.info("PaddleOCR ready to serve")
+    except Exception as e:
+        logger.error(f"Failed to load PaddleOCR: {e}", exc_info=True)
+
+
+@app.on_event("startup")
+def startup_load_model():
+    """Start model loading in background so health check passes immediately."""
+    global _loading
+    _loading = True
+    threading.Thread(target=_load_model, daemon=True).start()
+    logger.info("Model loading started in background thread")
+
+
+@app.get("/health")
+def health():
+    if _ready:
+        return {"status": "ok", "model": "PP-OCRv4"}
+    if _loading:
+        return {"status": "loading"}
+    return {"status": "error"}
+
+
+@app.post("/ocr")
+async def ocr(
+    file: UploadFile = File(...),
+    x_api_key: str = Header(default=""),
+):
+    if API_KEY and x_api_key != API_KEY:
+        raise HTTPException(status_code=401, detail="Invalid API key")
+
+    if not _ready:
+        raise HTTPException(status_code=503, detail="Model still loading")
+
+    img_bytes = await file.read()
+    img = Image.open(io.BytesIO(img_bytes)).convert("RGB")
+    img_np = np.array(img)
+
+    try:
+        result = _engine.ocr(img_np)
+    except Exception as e:
+        logger.error(f"OCR failed: {e}", exc_info=True)
+        raise HTTPException(status_code=500, detail=f"OCR failed: {e}")
+
+    if not result or not result[0]:
+        return {"words": [], "image_width": img_np.shape[1], "image_height": img_np.shape[0]}
+
+    words = []
+    for line in result[0]:
+        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, 1),
+        })
+
+    return {
+        "words": words,
+        "image_width": img_np.shape[1],
+        "image_height": img_np.shape[0],
+    }

paddleocr-service/requirements.txt

@@ -0,0 +1,7 @@
+paddlepaddle>=2.6.0,<3.0.0
+paddleocr>=2.7.0,<3.0.0
+fastapi>=0.110.0
+uvicorn>=0.25.0
+python-multipart>=0.0.6
+Pillow>=10.0.0
+numpy>=1.24.0