from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel
from fpdf import FPDF
import tempfile

# Initialize Clinical AI Agent
clinical_agent = CodeAgent(tools=[DuckDuckGoSearchTool()], model=HfApiModel())

def generate_clinical_content(topic, audience):
    """Generates medical content based on topic and audience."""
    prompt = f"Write a detailed medical article on: {topic}.\nTarget Audience: {audience}.\nInclude latest medical research insights."
    return clinical_agent.run(prompt)

def generate_summary(content):
    """Summarizes a given clinical document or research paper."""
    summary_prompt = f"Summarize the following medical research:\n{content}"
    return clinical_agent.run(summary_prompt)

def generate_soap_note(symptoms, history):
    """Generates a SOAP Note for clinicians based on symptoms and patient history."""
    soap_prompt = (
        f"Create a structured SOAP Note for a patient with:\n"
        f"Symptoms: {symptoms}\n"
        f"History: {history}\n"
        f"Include Assessment & Plan."
    )
    return clinical_agent.run(soap_prompt)

def save_as_text(content, filename):
    """Saves AI-generated content as a TXT file."""
    with tempfile.NamedTemporaryFile(delete=False, suffix=".txt") as tmp_file:
        tmp_file.write(content.encode())
        return tmp_file.name, filename

def save_as_pdf(content, filename):
    """Saves AI-generated content as a PDF file."""
    with tempfile.NamedTemporaryFile(delete=False, suffix=".pdf") as tmp_file:
        pdf = FPDF()
        pdf.add_page()
        pdf.set_font("Arial", size=12)
        pdf.multi_cell(0, 10, content)
        pdf.output(tmp_file.name)
        return tmp_file.name, filename