bolade
11ee6b192f
- Added ReportGeneratorService to handle generation of medical reports from uploaded files. - Implemented methods for processing Pnoe CSV data, generating graphs, and calculating analysis metrics. - Integrated Jinja2 for HTML report generation with customizable templates. - Added functionality to convert HTML content to PDF using Playwright. - Ensured proper directory structure for saving generated graphs and reports.
65 lines
1.9 KiB
Python
65 lines
1.9 KiB
Python
import base64
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import os
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import requests
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from dotenv import load_dotenv
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load_dotenv()
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API_KEY_REF = os.getenv("OPENROUTER_API_KEY")
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def encode_pdf_to_base64(pdf_path):
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with open(pdf_path, "rb") as pdf_file:
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return base64.b64encode(pdf_file.read()).decode("utf-8")
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def extract_spirometry_table_from_pdf(pdf_path):
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url = "https://openrouter.ai/api/v1/chat/completions"
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headers = {
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"Authorization": f"Bearer {API_KEY_REF}",
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"Content-Type": "application/json",
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}
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# Read and encode the PDF
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base64_pdf = encode_pdf_to_base64(pdf_path)
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data_url = f"data:application/pdf;base64,{base64_pdf}"
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messages = [
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{
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"role": "user",
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"content": [
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{
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"type": "text",
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"text": "Please extract the Spirometry table from the pdf and return the values in csv format, "
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"note that it is the unit of parameter that is beside it and it should not be a column. "
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"The '-' Should be treated as empty values."
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"do not add 'csv' at the start or end of the response",
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},
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{
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"type": "file",
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"file": {"filename": "document.pdf", "file_data": data_url},
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},
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],
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}
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]
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payload = {
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"model": "google/gemini-2.5-flash-lite",
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"messages": messages,
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}
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response = requests.post(url, headers=headers, json=payload)
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response_data = response.json()
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if "choices" in response_data and len(response_data["choices"]) > 0:
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content = response_data["choices"][0]["message"]["content"]
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# Save to a CSV file
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output_file = "extracted_spirometry_table.csv"
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with open(output_file, "w", encoding="utf-8") as f:
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f.write(content)
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return f"Extracted table saved to {output_file}"
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else:
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return "No content found in response"
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