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emi_agent.py
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50 lines (40 loc) · 1.98 KB
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from python_a2a import A2AServer, skill, agent, run_server, TaskStatus, TaskState
import re
@agent(
name="EMI Calculator Agent",
description="Calculates EMI for a given principal, interest rate, and loan duration",
version="1.0.0"
)
class EMIAgent(A2AServer):
@skill(
name="Calculate EMI",
description="Calculates EMI given principal, annual interest rate, and duration in months",
tags=["emi", "loan", "interest"]
)
def calculate_emi(self, principal: float, annual_rate: float, months: int) -> str:
monthly_rate = annual_rate / (12 * 100)
emi = (principal * monthly_rate * ((1 + monthly_rate) ** months)) / (((1 + monthly_rate) ** months) - 1)
return f"The EMI for a loan of ₹{principal:.0f} at {annual_rate:.2f}% interest for {months} months is ₹{emi:.2f}"
def handle_task(self, task):
input_text = task.message["content"]["text"]
# Extract values from natural language
principal_match = re.search(r"₹?(\d{4,10})", input_text)
rate_match = re.search(r"(\d+(\.\d+)?)\s*%", input_text)
months_match = re.search(r"(\d+)\s*(months|month)", input_text, re.IGNORECASE)
try:
principal = float(principal_match.group(1)) if principal_match else 100000
rate = float(rate_match.group(1)) if rate_match else 10.0
months = int(months_match.group(1)) if months_match else 12
print(f"Inputs → Principal: {principal}, Rate: {rate}, Months: {months}")
emi_text = self.calculate_emi(principal, rate, months)
except Exception as e:
emi_text = f"Sorry, I couldn't parse your input. Error: {e}"
task.artifacts = [{
"parts": [{"type": "text", "text": emi_text}]
}]
task.status = TaskStatus(state=TaskState.COMPLETED)
return task
# Run the server
if __name__ == "__main__":
agent = EMIAgent()
run_server(agent, port=4737)