feat: PaddleOCR Service (PP-OCRv5 Latin auf x86_64)
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Microservice fuer PaddleOCR auf Hetzner. FastAPI mit /ocr und /health Endpoints, API-Key Auth, 4GB Memory Limit, Modell-Cache Volume. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
@@ -15,6 +15,7 @@ networks:
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volumes:
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volumes:
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valkey_data:
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valkey_data:
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embedding_models:
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embedding_models:
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paddleocr_models:
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services:
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services:
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@@ -141,6 +142,34 @@ services:
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networks:
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networks:
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- breakpilot-network
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- breakpilot-network
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# =========================================================
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# OCR SERVICE (PaddleOCR PP-OCRv5 Latin)
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# =========================================================
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paddleocr-service:
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build:
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context: ./paddleocr-service
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dockerfile: Dockerfile
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container_name: bp-core-paddleocr
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expose:
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- "8095"
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environment:
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PADDLEOCR_API_KEY: ${PADDLEOCR_API_KEY:-}
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volumes:
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- paddleocr_models:/root/.paddleocr
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deploy:
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resources:
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limits:
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memory: 4G
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healthcheck:
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test: ["CMD", "curl", "-f", "http://127.0.0.1:8095/health"]
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interval: 30s
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timeout: 10s
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start_period: 120s
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retries: 3
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restart: unless-stopped
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networks:
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- breakpilot-network
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# =========================================================
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# =========================================================
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# HEALTH AGGREGATOR
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# HEALTH AGGREGATOR
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# =========================================================
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# =========================================================
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@@ -153,7 +182,7 @@ services:
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- "8099"
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- "8099"
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environment:
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environment:
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PORT: 8099
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PORT: 8099
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CHECK_SERVICES: "valkey:6379,consent-service:8081,rag-service:8097,embedding-service:8087"
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CHECK_SERVICES: "valkey:6379,consent-service:8081,rag-service:8097,embedding-service:8087,paddleocr-service:8095"
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healthcheck:
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healthcheck:
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test: ["CMD", "curl", "-f", "http://127.0.0.1:8099/health"]
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test: ["CMD", "curl", "-f", "http://127.0.0.1:8099/health"]
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interval: 30s
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interval: 30s
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16
paddleocr-service/Dockerfile
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16
paddleocr-service/Dockerfile
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@@ -0,0 +1,16 @@
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FROM python:3.11-slim
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WORKDIR /app
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RUN apt-get update && apt-get install -y --no-install-recommends \
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libgl1-mesa-glx libglib2.0-0 curl \
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&& rm -rf /var/lib/apt/lists/*
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COPY requirements.txt .
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RUN pip install --no-cache-dir -r requirements.txt
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COPY . .
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EXPOSE 8095
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HEALTHCHECK --interval=30s --timeout=10s --start-period=120s --retries=3 \
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CMD curl -f http://127.0.0.1:8095/health || exit 1
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CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8095"]
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71
paddleocr-service/main.py
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71
paddleocr-service/main.py
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"""PaddleOCR Remote Service — PP-OCRv5 Latin auf x86_64."""
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import io
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import os
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import numpy as np
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from fastapi import FastAPI, File, Header, HTTPException, UploadFile
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from PIL import Image
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app = FastAPI(title="PaddleOCR Service")
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_engine = None
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API_KEY = os.environ.get("PADDLEOCR_API_KEY", "")
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def get_engine():
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global _engine
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if _engine is None:
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from paddleocr import PaddleOCR
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_engine = PaddleOCR(
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lang="latin",
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use_angle_cls=True,
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show_log=False,
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)
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return _engine
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@app.get("/health")
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def health():
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return {"status": "ok", "model": "PP-OCRv5-latin"}
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@app.post("/ocr")
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async def ocr(
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file: UploadFile = File(...),
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x_api_key: str = Header(default=""),
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):
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if API_KEY and x_api_key != API_KEY:
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raise HTTPException(status_code=401, detail="Invalid API key")
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img_bytes = await file.read()
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img = Image.open(io.BytesIO(img_bytes)).convert("RGB")
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img_np = np.array(img)
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engine = get_engine()
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result = engine.ocr(img_np)
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words = []
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for line in result[0] or []:
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box, (text, conf) = line[0], line[1]
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x_min = min(p[0] for p in box)
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y_min = min(p[1] for p in box)
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x_max = max(p[0] for p in box)
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y_max = max(p[1] for p in box)
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words.append(
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{
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"text": text,
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"left": int(x_min),
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"top": int(y_min),
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"width": int(x_max - x_min),
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"height": int(y_max - y_min),
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"conf": round(conf * 100, 1),
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}
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)
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return {
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"words": words,
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"image_width": img_np.shape[1],
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"image_height": img_np.shape[0],
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}
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7
paddleocr-service/requirements.txt
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7
paddleocr-service/requirements.txt
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@@ -0,0 +1,7 @@
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paddlepaddle>=3.0.0
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paddleocr>=2.9.0
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fastapi>=0.110.0
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uvicorn>=0.25.0
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python-multipart>=0.0.6
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Pillow>=10.0.0
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numpy>=1.24.0
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