63 lines
2.6 KiB
Python
63 lines
2.6 KiB
Python
from openai import OpenAI
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from inventory import models
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from car_inventory import settings
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def fetch_data(dealer):
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try:
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# Annotate total cars by make, model, and trim
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cars = models.Car.objects.filter(dealer=dealer).count()
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print(cars)
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if cars:
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return f"إجمالي عدد السيارات في المخزون الخاص بـ {dealer.get_local_name}) هو {cars}"
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# return f"The total cars in {dealer} inventory is ( {cars} )."
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else:
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return "No cars found in the inventory."
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except Exception as e:
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return f"An error occurred while fetching car data: {str(e)}"
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def get_gpt4_response(user_input, dealer):
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"""
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Generates a response from the GPT-4 model based on the provided user input
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and the dealer's information. The function is tailored to assist with car
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inventory management, including queries about inventory, sales processes,
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car transfers, invoices, and other features specific to the Haikal system.
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:param user_input: The text input or query provided by the user.
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:type user_input: str
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:param dealer: Dealer information or identifier used to fetch related car data
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or contextual information.
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:type dealer: Any
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:return: The generated response from the GPT-4 model as a string.
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:rtype: str
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:raises Exception: In case of an error during the API call to generate the
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GPT-4 response.
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"""
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dealer = dealer
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client = OpenAI(api_key=settings.OPENAI_API_KEY)
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# if "سيارة في المخزون" in user_input.lower():
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# # cars = user_input.split("how many cars")[-1].strip()
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# car_data = fetch_data(dealer)
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# user_input += f" Relevant car data: {car_data}"
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try:
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completion = client.chat.completions.create(
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model="gpt-4o",
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messages=[
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{
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"role": "system",
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"content": (
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"You are an assistant specialized in car inventory management for the Haikal system. "
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"You can answer questions about the inventory, sales process, car transfers, invoices, "
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"and other application-specific functionalities. Always provide responses aligned "
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"with the Haikal system's structure and features."
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)
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},
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{"role": "user", "content": user_input},
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],
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)
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return completion.choices[0].message.content.strip()
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except Exception as e:
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return f"An error occurred while generating the response: {str(e)}"
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