Translates the data retrieved from the UDR model into the format accepted by the EVCO2 model.
The requirements.txt and Pipenv files are provided for the setup of an environment where the module can be installed. The package includes a setup.py file and it can be therefore installed with a pip install . when we are at the same working directory as the setup.py file. For testing purposes, one can also install the package in editable mode pip install -e ..
After the install is completed, an executable udr-2-evco2 will be available to the user.
Furthermore, a Dockerfile is provided so that the user can package the model.
To build the image the following command must be issued from the project's root directory:
docker build -t udr-2-evco2:latest .
The executable's help message provides information on the parameters that are needed.
$ udr-2-evco2 -h
usage: udr-2-evco2 [-h] udr_output vehicle_type_flag out_dir
UDR-2-EVCO2
Translates the data retrieved from the UDR model into the format accepted by the EVCO2 model.
positional arguments:
udr_output The path of the UDR output (xlxs)
vehicle_type_flag if vehicle type flag == 1 for fleet of electric motorbikes,
otherwise we have fleet of electric VANs
out_dir The output directory
options:
-h, --help show this help message and exit
If the package installation has been omitted, the model can of course also be run with
python -m src.udr2evco2.__main__ <args>
udr-2-evco2 \
sample-data/input/udr_output.xlsx \
1 \
sample-data/output/
docker run --rm \
-v ./sample-data:/data \
registry.gitlab.com/inlecom/lead/models/udr-2-evco2:latest \
/data/input/udr_output.xlsx \
1 \
/data/output/