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OCR API Route — Accepts document images and returns extracted structured data.
Uses the multi-provider OCR router (Groq → Gemini → OpenAI → HuggingFace).
"""
from fastapi import APIRouter, UploadFile, File, Form, HTTPException
from app.schemas import OCRResponse, DocumentType
from app.services.ocr.ocr_router import ocr_router
from PIL import Image
import asyncio
import io
import logging
router = APIRouter()
logger = logging.getLogger(__name__)
MAX_FILE_SIZE_MB = 10
MAX_FILE_SIZE_BYTES = MAX_FILE_SIZE_MB * 1024 * 1024
@router.post("/ocr", response_model=OCRResponse)
async def process_ocr(
file: UploadFile = File(..., description="Document image (PNG, JPG, WEBP)"),
document_type: DocumentType = Form(..., description="Type of the document being scanned"),
):
"""
Process an Arabic document image and extract structured data as JSON.
- **file**: The document image to scan (max 10 MB).
- **document_type**: One of the supported document types (id_card, income_proof, etc.).
The router automatically tries providers in order (Groq → Gemini → OpenAI → HuggingFace)
and falls back if any provider hits a rate limit or error.
"""
# ── Validate file type ──
if not file.content_type or not file.content_type.startswith("image/"):
raise HTTPException(status_code=400, detail="File provided is not an image.")
# ── Validate file size (safe: only read limit + 1 byte) ──
contents = await file.read(MAX_FILE_SIZE_BYTES + 1)
if len(contents) > MAX_FILE_SIZE_BYTES:
raise HTTPException(
status_code=400,
detail=f"File size exceeds the {MAX_FILE_SIZE_MB} MB limit.",
)
try:
image = await asyncio.to_thread(Image.open, io.BytesIO(contents))
result_data = await ocr_router.run_ocr(image, document_type=document_type)
# Extract '_provider' from result (injected by the router)
provider_name = result_data.pop("_provider", "unknown")
return OCRResponse(data=result_data, provider=provider_name)
except RuntimeError as e:
# All providers exhausted
logger.error("All OCR providers failed: %s", e)
raise HTTPException(status_code=503, detail="All OCR providers are currently unavailable. Please try again later.")
except Exception as e:
logger.error("Error processing OCR: %s", e, exc_info=True)
raise HTTPException(status_code=500, detail="Internal server error during OCR processing.")
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