Error in Conway's Game of Life while running via Streamlit.

[ssgali]

Just joined the community, and I'm having trouble running the basic example, Conway's Game of Life via streamlit, I'm getting a weird error:

AttributeError: 'OrthogonalMooreGrid' object has no property layer called 'coord_iter'
Traceback:
File "C:\Users\..\examples\basic\conways_game_of_life\st_app.py", line 53, in <module>
    for contents, (x, y) in model.grid.coord_iter():
                            ^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\..\Local\Programs\Python\Python313\Lib\site-packages\mesa\discrete_space\property_layer.py", line 407, in __getattr__
    raise AttributeError(
        f"'{type(self).__name__}' object has no property layer called '{name}'"
    ) from e

Any thoughts on this, also you have any roadmap or beginner guide as to what models kind of models I should inspect and build?
Thanks

[quaquel]

Thanks for reporting this. I can confirm that this is a bug in st_app.py. Can you try to solara visualization (i.e., app.py) instead?

The relevant code in st_app.py should be changed to something roughly like

for cell in model.grid.all_cells:
    agent = cell.agents[0]
    x, y = cell.coordinate

[ssgali]

Thanks for the quick response and my bad I forgot to mention that Solara visualization is working fine, ill reimplement the code with the given changes and let yk.
Regards

[ssgali]

I am glad to mention that I was of some use, I think was being caused by some outdated line of code, by changing the code from:

for contents, (x, y) in model.grid.coord_iter():
            # print(f"x: {x}, y: {y}, state: {contents}")
            selected_row = df_grid[(df_grid["x"] == x) & (df_grid["y"] == y)]
            df_grid.loc[selected_row.index, "state"] = (
                contents.state
            )  # random.choice([1,2])

to this:

for cell in model.grid.all_cells:
            agent = cell.agents[0]
            x, y = cell.coordinate
            # print(f"x: {x}, y: {y}, state: {agent.state}")
            selected_row = df_grid[(df_grid["x"] == x) & (df_grid["y"] == y)]
            df_grid.loc[selected_row.index, "state"] = (
                agent.state
            )  # random.choice([1,2])

I was able to run the model via Streamlit, I hope this gets counted as my contribution, :))