Project to generate random data about cars in colombia.

1. VehicleID (Primary Key): Unique identifier for each vehicle.
2. LicensePlate: The license plate number of the vehicle.
3. Brand: The brand or manufacturer of the vehicle.
4. Model: The model of the vehicle.
5. Year: The manufacturing year of the vehicle.
6. Color: The color of the vehicle.
7. FuelType: The type of fuel the vehicle uses (e.g., gasoline, diesel, electric).
8. TransmissionType: The type of transmission (e.g., automatic, manual).
9. OdometerReading: The current odometer reading of the vehicle.
10. RegistrationDate: The date when the vehicle was registered.
11. InsuranceProvider: The insurance provider for the vehicle.
12. InsuranceExpirationDate: The expiration date of the vehicle insurance.
13. OwnerName: The name of the vehicle owner.
14. OwnerID: Identification number of the vehicle owner.
15. OwnerAddress: The address of the vehicle owner.
16. City: The city where the vehicle is registered.
17. Department: The department (administrative region) where the vehicle is registered.
18. VehicleType: The type of vehicle (e.g., sedan, SUV, truck).
19. EngineSize: The size of the vehicle engine.
20. WheelDrive: The type of wheel drive (e.g., 2WD, 4WD).
21. LastMaintenanceDate: The date of the vehicle's last maintenance.
22. NumberOfSeats: The number of seats in the vehicle.
23. NumberOfDoors: The number of doors in the vehicle.
24. GPSInstalled: Indicates whether the vehicle has a GPS system installed.
25. EmissionStandard: The emission standard the vehicle complies with.
26. SafetyRating: Safety rating of the vehicle.
27. InsuranceCoverageType: Type of coverage in the vehicle insurance.
28. EstimatedMarketValue: Estimated market value
29. VehicleStatus: IN_USE,SELLING,MAINTENANCE
30. AccidentHistory:

Taken from ChatGPT

1. Car Color https://www.elcarrocolombiano.com/industria/colores-de-autos-mas-populares-2021/
2. Brand https://www.eltiempo.com/economia/finanzas-personales/estas-son-las-marcas-de-carros-mas-vendidas-en-colombia-en-2023-801990
3. fuel_type https://www.semana.com/economia/actualidad/vida-ejecutiva/automoviles/articulo/en-colombia-de-los-vehiculos-a-gas-natural-el-77-por-ciento-son-buses-y-el-16-camiones/202218/
4. transmission_type https://noticias.autocosmos.com.co/2020/04/21/los-autos-con-caja-mecanica-tienden-a-desaparecer
5. insurance_provider https://aliarseguros.com/blog-mejores-aseguradoras-autos-colombia
6. city https://noticias.autocosmos.com.co/2019/10/03/en-que-lugares-de-colombia-se-matriculan-mas-vehiculos
7. vehicle_type https://www.motor.com.co/industria/En-2023-se-vendieron-186.222-vehiculos-nuevos-en-Colombia.-Cayo--29-el-mercado.-20240102-0006.html

Python 3.11.0

virtualenv env
source env/bin/activate
pip3 install -r requirements.txt

python -m unittest

Make sure you have "coverage" in your requirements.txt file and run pip install. Then run coverage run -m unittest discover and after that run coverage report to get the following table:

Name                                   Stmts   Miss  Cover
----------------------------------------------------------
base/__init__.py                           0      0   100%
base/test/__init__.py                      0      0   100%
generators/__init__.py                     0      0   100%
generators/random_generator.py            43      3    93%
generators/test/__init__.py                0      0   100%
generators/test/test_algorithm.py         29      1    97%
random_resolvers/__init__.py               0      0   100%
random_resolvers/general_resolver.py      77      2    97%
utils/__init__.py                          0      0   100%
utils/constants.py                         2      0   100%
utils/file_manager.py                     12      2    83%
utils/random_util.py                      18      0   100%
----------------------------------------------------------
TOTAL                                    181      8    96%

This code has been beautify using black: https://github.com/psf/black. The command to use is black . -l 120.