88e81fadf1
# Conflicts: # car_inventory/settings.py # inventory/models.py # inventory/services.py # inventory/urls.py # inventory/views.py
71 lines
1.7 KiB
Python
71 lines
1.7 KiB
Python
"""
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Services module
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"""
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import requests
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import json
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from .utils import get_jwt_token
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from pyvin import VIN
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from django.conf import settings
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from openai import OpenAI
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from .models import Car
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def normalize_name(name):
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return name.replace(' ', '').replace('-', '').lower()
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def decode_vin_pyvin(vin):
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vehicle = VIN(vin)
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data = {
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'Make': vehicle.Make,
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'Model': vehicle.Model,
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'ModelYear': vehicle.ModelYear,
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}
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print(data)
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return data
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# vehicle-info
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# c2729afb
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# 6d397471920412d672af1b8a02ca52ea
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# option-info
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# 367974ed
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# 046b0412c1b4d3f8c39ec6375d6f3030
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def elm(vin):
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headers = {
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"Content-Type": "application/json",
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'app-id': 'c2729afb',
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'app-key': '6d397471920412d672af1b8a02ca52ea',
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'client-id': '94142c27-2536-47e9-8e28-9ca7728b9442',
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}
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url = 'https://vehicle-maintenance.api.elm.sa/api/v1/vehicles/vehicle-info?vin='+vin
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payload = {}
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response = requests.request("GET", url, headers=headers, data=payload)
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car_info = json.loads(response.text)
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print(car_info)
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return car_info
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def translate(content, *args, **kwargs):
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client = OpenAI(api_key=settings.OPENAI_API_KEY)
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completion = client.chat.completions.create(
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model="gpt-4",
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messages=[
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{"role": "system", "content": "You are a translation assistant that translates English to Arabic."},
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{"role": "user", "content": content}
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],
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temperature=0.3,
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)
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translation = completion.choices[0].message.content.strip()
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return translation
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def calculate_stock_value():
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cars = Car.objects.all()
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total_value = sum(car.selling_price for car in cars)
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return total_value
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