61 lines
1.7 KiB
Python
61 lines
1.7 KiB
Python
from flask import Flask, request, jsonify
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from ocr_runner import pdf_to_json, ocr_pdf
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import requests
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import os
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import tempfile
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import base64
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from pathlib import Path
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app = Flask(__name__)
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EXXETA_URL = os.getenv("EXXETA_SERVICE_URL", "http://localhost:5053/extract")
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SPACY_URL = os.getenv("SPACY_SERVICE_URL", "http://localhost:5052/extract")
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@app.route('/ocr', methods=['POST'])
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def convert_extract_text_from_pdf():
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if "file" not in request.files:
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return {"error": "No file"}, 400
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file = request.files["file"]
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pitchbook_id = request.form.get("id")
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if not pitchbook_id:
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return {"error": "No ID"}, 400
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with tempfile.NamedTemporaryFile(delete=False, suffix='.pdf') as temp_file:
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file.seek(0)
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temp_file.write(file.read())
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temp_path = Path(temp_file.name)
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ocr_path = ocr_pdf(temp_path)
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if not ocr_path or not ocr_path.exists():
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temp_path.unlink() # cleanup
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return {"error": "OCR processing failed - all PDFs must be OCR'd"}, 500
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with open(ocr_path, 'rb') as ocr_file:
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ocr_pdf_data = ocr_file.read()
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ocr_pdf_base64 = base64.b64encode(ocr_pdf_data).decode('utf-8')
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ocr_file.seek(0)
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result = pdf_to_json(ocr_file)
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ocr_path.unlink()
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temp_path.unlink()
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payload = {
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"id": int(pitchbook_id),
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"extracted_text_per_page": result["pages"]
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}
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requests.post(EXXETA_URL, json=payload, timeout=600)
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requests.post(SPACY_URL, json=payload, timeout=600)
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return {
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"status": "sent",
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"ocr_pdf": ocr_pdf_base64,
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"message": "PDF successfully OCR'd and processed"
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}, 200
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if __name__ == "__main__":
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app.run(host="0.0.0.0", port=5051) |