example.py

import pandas as pd
import yaml

from  pylindas.pycube import Cube
from pylindas.lindas.upload import upload_ttl
from pylindas.lindas.query import cube_exists

mock_df = pd.read_csv("example/mock/data.csv")

with open("example/mock/description.yml") as file:
    cube_yaml = yaml.safe_load(file)

cube = Cube(dataframe=mock_df, cube_yaml=cube_yaml, environment="TEST", local=True)
cube.prepare_data()
cube.write_cube()
cube.write_observations()
cube.write_shape()
cube.serialize("example/mock/cube.ttl")
print(cube)

if not cube_exists(cube_uri=cube.get_iri(), environment="TEST"):
    upload_ttl(filename="./example/mock-cube.ttl", db_file="lindas.ini", environment="TEST")

# upload_ttl(filename="./example/mock-cube.ttl", db_file="lindas.ini", environment="TEST")

modk_df_two_sided = pd.read_csv("tests/test_data.csv")
with open("tests/test.yml") as file:
    two_sided_yaml = yaml.safe_load(file)
cube_two_sided = Cube(dataframe=modk_df_two_sided, cube_yaml=two_sided_yaml, environment="TEST", local=True)
cube_two_sided.prepare_data()
cube_two_sided.write_cube()
cube_two_sided.write_observations()
cube_two_sided.write_shape()

cube_two_sided.serialize("./example/mock-cube-two-sided.ttl")
upload_ttl(filename="./example/mock-cube-two-sided.ttl", db_file="lindas.ini", environment="TEST")