Refactor dashboard to show only the Declining Increment model tab

dashboard/app.py

@@ -272,137 +272,19 @@ def create_summary(results, species_results, config, model):
     return summary
 
 with gr.Blocks() as demo:
-    gr.Markdown("# Mangrove ER Model Dashboard\nSelect a model tab to view results for that model's base configuration.")
+    gr.Markdown("# Mangrove ER Model Dashboard\nDeclining Increment Model Only")
     with gr.Tabs():
-        # Original Model tab with planting schedule editing
-        with gr.Tab("Original Model"):
-            gr.Markdown("## Planting Schedule (ha per year)")
-            year_1 = gr.Number(value=2500, label="Year 1 Area (ha)")
-            year_2 = gr.Number(value=2500, label="Year 2 Area (ha)")
-            year_3 = gr.Number(value=0, label="Year 3 Area (ha)")
-            year_4 = gr.Number(value=0, label="Year 4 Area (ha)")
-            year_5 = gr.Number(value=0, label="Year 5 Area (ha)")
-            update_btn = gr.Button("Update Results", variant="primary")
-            with gr.Row():
-                carbon_plot = gr.Plot()
-                annual_plot = gr.Plot()
-                biomass_plot = gr.Plot()
-                # Now re-enable carbon_plot as well
-            # growth_plot = gr.Plot(label="Growth & Increment Curves")
-            summary_box = gr.Textbox(label="Summary", lines=12)
-            results_box = gr.Dataframe()
-            species_box = gr.Dataframe()
-            survival_box = gr.Dataframe(label="Surviving Trees Table")
-            def update_original_model(y1, y2, y3, y4, y5):
-                config = update_planting_schedule(MODEL_CONFIGS["Original Model"], [y1, y2, y3, y4, y5])
-                import tempfile
-                import yaml
-                with tempfile.NamedTemporaryFile(mode="w", suffix=".yaml", delete=False) as tmp:
-                    yaml.dump(config, tmp)
-                    tmp_path = tmp.name
-                model = ERModel(Path(tmp_path))
-                results, species_results = model.run()
-                plots = create_all_plots(results, species_results, config)
-                summary = create_summary(results, species_results, config, model)
-                survival_table = create_survival_table(model)
-                results_fmt = results.copy()
-                species_results_fmt = species_results.copy()
-                for col in results_fmt.columns:
-                    if results_fmt[col].dtype in [float, int]:
-                        results_fmt[col] = results_fmt[col].apply(lambda x: f"{x:,.2f}" if isinstance(x, float) else f"{x:,}")
-                for col in species_results_fmt.columns:
-                    if species_results_fmt[col].dtype in [float, int]:
-                        species_results_fmt[col] = species_results_fmt[col].apply(lambda x: f"{x:,.2f}" if isinstance(x, float) else f"{x:,}")
-                # Return the carbon plot (plots[0]), biomass plot (plots[2]), and annual plot (plots[1])
-                return plots[0], plots[2], plots[1], summary, results_fmt.head(30), species_results_fmt.head(30), survival_table.head(30)
-            update_btn.click(
-                update_original_model,
-                inputs=[year_1, year_2, year_3, year_4, year_5],
-                outputs=[carbon_plot, biomass_plot, annual_plot, summary_box, results_box, species_box, survival_box]
-            )
-            # Show initial results
-            c, a, b, summary, r, s, surv = run_model(MODEL_CONFIGS["Original Model"])
-            # Assign the carbon plot (c), biomass plot (b), and annual plot (a)
-            carbon_plot.value = c
-            biomass_plot.value = b
-            annual_plot.value = a
-            summary_box.value = summary
-            results_box.value = r
-            species_box.value = s
-            survival_box.value = surv
-        # Simple Linear tab
-        with gr.Tab("Simple Linear"):
-            gr.Markdown("## Simple Linear Model Results (base config)")
-            carbon_plot, annual_plot, biomass_plot, summary, results, species, survival = run_model(MODEL_CONFIGS["Simple Linear"])
-            growth_fig = create_growth_increment_plots(yaml.safe_load(open(MODEL_CONFIGS["Simple Linear"])), model_type="linear")
-            with gr.Row():
-                carbon_plot_comp = gr.Plot(value=carbon_plot)
-                biomass_plot_comp = gr.Plot(value=biomass_plot)
-                annual_plot_comp = gr.Plot(value=annual_plot)
-            # gr.Plot(value=growth_fig, label="Growth & Increment Curves")
-            gr.Textbox(value=summary, label="Summary", lines=12)
-            gr.Markdown("### Results Table")
-            gr.Dataframe(value=results)
-            gr.Markdown("### Species Table")
-            gr.Dataframe(value=species)
-            gr.Markdown("### Surviving Trees Table")
-            gr.Dataframe(value=survival)
-        # Linear Plateau tab
-        with gr.Tab("Linear Plateau"):
-            gr.Markdown("## Linear Plateau Model Results (base config)")
-            carbon_plot, annual_plot, biomass_plot, summary, results, species, survival = run_model(MODEL_CONFIGS["Linear Plateau"])
-            growth_fig = create_growth_increment_plots(yaml.safe_load(open(MODEL_CONFIGS["Linear Plateau"])), model_type="linear_plateau")
-            with gr.Row():
-                carbon_plot_comp = gr.Plot(value=carbon_plot)
-                biomass_plot_comp = gr.Plot(value=biomass_plot)
-                annual_plot_comp = gr.Plot(value=annual_plot)
-            # gr.Plot(value=growth_fig, label="Growth & Increment Curves")
-            gr.Textbox(value=summary, label="Summary", lines=12)
-            gr.Markdown("### Results Table")
-            gr.Dataframe(value=results)
-            gr.Markdown("### Species Table")
-            gr.Dataframe(value=species)
-            gr.Markdown("### Surviving Trees Table")
-            gr.Dataframe(value=survival)
-        # Declining Increment tab
         with gr.Tab("Declining Increment"):
             gr.Markdown("## Declining Increment Model Results (base config)")
             carbon_plot, annual_plot, biomass_plot, summary, results, species, survival = run_model(MODEL_CONFIGS["Declining Increment"])
             growth_fig = create_growth_increment_plots(yaml.safe_load(open(MODEL_CONFIGS["Declining Increment"])), model_type="declining_increment")
-            # Diagnostics for DBH, height, and biomass arrays before plotting (biomass plot)
-            config = yaml.safe_load(open(MODEL_CONFIGS["Declining Increment"]))
-            years = results["year"]
-            from src.er_model import ERModel
-            for sp in config["species"]:
-                name = sp["name"]
-                initial_dbh = sp["initial_values"]["dbh"]
-                initial_height = sp["initial_values"]["height"]
-                dbh_params = sp["declining_increment"]["dbh"]
-                height_params = sp["declining_increment"]["height"]
-                dbh = np.array([ERModel.declining_increment_growth(float(t), dbh_params, initial_dbh) for t in years])
-                height = np.array([ERModel.declining_increment_growth(float(t), height_params, initial_height) for t in years])
-                if "Zanvo" in sp["allometry"]["equation"]:
-                    if "1.938" in sp["allometry"]["equation"]:
-                        biomass = 1.938 * (dbh ** 2 * height) ** 0.67628 / 1000
-                    else:
-                        biomass = 1.486 * (dbh ** 2 * height) ** 0.55864 / 1000
-                else:
-                    biomass = dbh
-                print(f"[DEBUG] {name} DBH: min={dbh.min()}, max={dbh.max()}, any_negative={np.any(dbh < 0)}, any_complex={np.iscomplexobj(dbh)}")
-                print(f"[DEBUG] {name} Height: min={height.min()}, max={height.max()}, any_negative={np.any(height < 0)}, any_complex={np.iscomplexobj(height)}")
-                print(f"[DEBUG] {name} Biomass: min={biomass.min()}, max={biomass.max()}, any_negative={np.any(biomass < 0)}, any_complex={np.iscomplexobj(biomass)}")
             with gr.Row():
                 carbon_plot_comp = gr.Plot(value=carbon_plot)
                 biomass_plot_comp = gr.Plot(value=biomass_plot)
                 annual_plot_comp = gr.Plot(value=annual_plot)
-            # gr.Plot(value=growth_fig, label="Growth & Increment Curves")
             gr.Textbox(value=summary, label="Summary", lines=12)
-            gr.Markdown("### Results Table")
-            gr.Dataframe(value=results)
-            gr.Markdown("### Species Table")
-            gr.Dataframe(value=species)
-            gr.Markdown("### Surviving Trees Table")
-            gr.Dataframe(value=survival)
-
-if __name__ == "__main__":
-    demo.launch() 
+            gr.Dataframe(value=results, label="Project Results (Annual)")
+            gr.Dataframe(value=species, label="Species Results (Annual)")
+            gr.Dataframe(value=survival, label="Surviving Trees Table")
+            # gr.Plot(value=growth_fig, label="Growth & Increment Curves")
+    demo.launch(share=True)