OwusuBlessing
78 lines
2.6 KiB
Python
78 lines
2.6 KiB
Python
import os
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import json
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import asyncio
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from langchain_openai import ChatOpenAI
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from langchain_core.messages import HumanMessage, SystemMessage
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from src.prompts.templates.flght_prompt import flight_prompt # You must save the prompt function here
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from src.config.llm_config import LlmConfig
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from config import Config
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from src.components.data_extraction.weather_data import DroneWeatherDataExtractor
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class DroneAssessmentAgent:
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def __init__(self):
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self.llm = ChatOpenAI(
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api_key=Config.OPENAI_API_KEY,
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model=LlmConfig.openai.models.gpt_4o,
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temperature=0.3
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)
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self.weather_extractor = DroneWeatherDataExtractor()
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async def run(self, booking_form: str) -> dict:
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"""
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Run the drone environmental & safety assessment agent.
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Args:
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booking_form_text (str): Raw text of the booking form
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Returns:
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dict: JSON output of the AI assessment
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"""
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weather_data = await self.weather_extractor.extract_booking_weather_data(booking_form)
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booking_form_text = json.dumps(booking_form)
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prompt = flight_prompt(booking_form_text, weather_data) # Contains the instructions + JSON template
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messages = [
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SystemMessage(content=prompt),
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HumanMessage(content=booking_form_text)
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]
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try:
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response = self.llm.invoke(messages)
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if hasattr(response, "content"):
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response_text = response.content.strip()
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print("Raw LLM Response:\n", response_text[:300], "...\n")
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# Attempt to parse JSON from response
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start_idx = response_text.find('{')
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end_idx = response_text.rfind('}') + 1
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if start_idx == -1 or end_idx == -1:
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raise ValueError("No JSON object found in output")
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json_str = response_text[start_idx:end_idx]
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return json.loads(json_str)
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else:
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raise ValueError("LLM returned no usable content")
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except Exception as e:
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print(f"Error in DroneAssessmentAgent: {str(e)}")
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return {
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"error": str(e),
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"raw_response": response.content if 'response' in locals() else None
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}
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async def main():
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"""Async main function to properly handle the async agent."""
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from test2 import booking_form_input
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agent = DroneAssessmentAgent()
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result = await agent.run(booking_form_input)
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print("\nStructured Assessment Output:\n")
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print(json.dumps(result, indent=2))
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if __name__ == "__main__":
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asyncio.run(main()) |