TNO Intern

Commit 6dae8802 authored by Hen Brett's avatar Hen Brett 🐔
Browse files

Merge branch '46-fix-the-cli' into 'main' 

Resolve "fix the cli"

Closes #46

See merge request AGS/pythermogis!56
parents 3c565885 8e5ee23d

pixi.lock

+1 −1
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@@ -2565,7 +2565,7 @@ packages: 
- pypi: .

  name: pythermogis

  version: 0.1.28

  sha256: 898eafd4ceb075b05a92fa6a885618a9823f96e55706a60a8ff56ef531aa22f4

  sha256: f6daaa0afaa794067bae1dde1a78ace679f8907984ef70e167cec532d1f45b51

  requires_dist:

  - jpype1>=1.5.2,<2

  - xarray==2024.9.0.*

pyproject.toml

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@@ -35,7 +35,7 @@ markers = [ 
package-dir = {"" = "src"}



[project.scripts]

pytg = "main:app"

pytg = "pythermogis.main:app"



[tool.pixi.project]

channels = ["conda-forge"]

src/pythermogis/main.py

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@@ -4,7 +4,7 @@ import numpy as np 
import xarray as xr

import typer



from thermogis_classes.doublet import calculate_doublet_performance

from pythermogis.thermogis_classes.doublet import calculate_doublet_performance



app = typer.Typer(pretty_exceptions_enable=False)

tests/test_doc_examples.py

+0 −14
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@@ -57,20 +57,6 @@ def test_example_4(): 
    results = calculate_doublet_performance(input_data, utc_properties=utc_properties)

    print(results)



def test_quick_change():

    from pygridsio import read_grid, remove_padding_from_grid, write_grid, resample_xarray_grid

    # the location of the input data: the data can be found in the resources/example_data directory of the repo

    input_data_path = Path(path.dirname(__file__), "resources") / "test_input" / "example_data"



    # create a directory to write the output files to

    output_data_path = Path(path.dirname(__file__), "resources") / "test_input" / "example_data_resampled"

    output_data_path.mkdir(parents=True, exist_ok=True)

    

    grid_files = input_data_path.glob("*.zmap")

    for filename in grid_files:

        grid_new = resample_xarray_grid(remove_padding_from_grid(read_grid(filename)), new_cellsize=1000)

        write_grid(grid_new, output_data_path / filename.name)



def test_example_5():

    return

    from pythermogis import calculate_doublet_performance