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:
Benjamin Admin
2026-03-12 10:20:41 +01:00
parent d834753a98
commit 7cdb53051f
4 changed files with 124 additions and 1 deletions

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@@ -15,6 +15,7 @@ networks:
volumes:
valkey_data:
embedding_models:
paddleocr_models:
services:
@@ -141,6 +142,34 @@ services:
networks:
- breakpilot-network
# =========================================================
# OCR SERVICE (PaddleOCR PP-OCRv5 Latin)
# =========================================================
paddleocr-service:
build:
context: ./paddleocr-service
dockerfile: Dockerfile
container_name: bp-core-paddleocr
expose:
- "8095"
environment:
PADDLEOCR_API_KEY: ${PADDLEOCR_API_KEY:-}
volumes:
- paddleocr_models:/root/.paddleocr
deploy:
resources:
limits:
memory: 4G
healthcheck:
test: ["CMD", "curl", "-f", "http://127.0.0.1:8095/health"]
interval: 30s
timeout: 10s
start_period: 120s
retries: 3
restart: unless-stopped
networks:
- breakpilot-network
# =========================================================
# HEALTH AGGREGATOR
# =========================================================
@@ -153,7 +182,7 @@ 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

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@@ -0,0 +1,16 @@
FROM python:3.11-slim
WORKDIR /app
RUN apt-get update && apt-get install -y --no-install-recommends \
libgl1-mesa-glx libglib2.0-0 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"]

71
paddleocr-service/main.py Normal file
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@@ -0,0 +1,71 @@
"""PaddleOCR Remote Service — PP-OCRv5 Latin auf x86_64."""
import io
import os
import numpy as np
from fastapi import FastAPI, File, Header, HTTPException, UploadFile
from PIL import Image
app = FastAPI(title="PaddleOCR Service")
_engine = None
API_KEY = os.environ.get("PADDLEOCR_API_KEY", "")
def get_engine():
global _engine
if _engine is None:
from paddleocr import PaddleOCR
_engine = PaddleOCR(
lang="latin",
use_angle_cls=True,
show_log=False,
)
return _engine
@app.get("/health")
def health():
return {"status": "ok", "model": "PP-OCRv5-latin"}
@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")
img_bytes = await file.read()
img = Image.open(io.BytesIO(img_bytes)).convert("RGB")
img_np = np.array(img)
engine = get_engine()
result = engine.ocr(img_np)
words = []
for line in result[0] or []:
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": 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, 1),
}
)
return {
"words": words,
"image_width": img_np.shape[1],
"image_height": img_np.shape[0],
}

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@@ -0,0 +1,7 @@
paddlepaddle>=3.0.0
paddleocr>=2.9.0
fastapi>=0.110.0
uvicorn>=0.25.0
python-multipart>=0.0.6
Pillow>=10.0.0
numpy>=1.24.0