Improve live fitting feedback and posterior uncertainty displays

docs/dev/package-structure-full.md

@@ -59,7 +59,6 @@
 │   │   │   └── 🏷️ class FitResults
 │   │   └── 📄 tracking.py
 │   │       ├── 🏷️ class SamplerProgressUpdate
-│   │       ├── 🏷️ class _TerminalLiveHandle
 │   │       └── 🏷️ class FitProgressTracker
 │   ├── 📁 minimizers
 │   │   ├── 📄 __init__.py
@@ -385,6 +384,10 @@
 │   │   ├── 🏷️ class _PosteriorPairsLegendState
 │   │   ├── 🏷️ class Plotter
 │   │   └── 🏷️ class PlotterFactory
+│   ├── 📄 progress.py
+│   │   ├── 🏷️ class _TerminalLiveHandle
+│   │   ├── 🏷️ class ActivityIndicator
+│   │   └── 🏷️ class _ActivityIndicatorContext
 │   ├── 📄 tables.py
 │   │   ├── 🏷️ class TableEngineEnum
 │   │   ├── 🏷️ class TableRenderer

docs/dev/package-structure-short.md

@@ -186,6 +186,7 @@
 │   ├── 📄 __init__.py
 │   ├── 📄 base.py
 │   ├── 📄 plotting.py
+│   ├── 📄 progress.py
 │   ├── 📄 tables.py
 │   └── 📄 utils.py
 ├── 📁 io

docs/docs/tutorials/ed-21.ipynb

@@ -734,11 +734,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "project.display.posterior.predictive(\n",
-    "    expt_name='hrpt',\n",
-    "    x_min=92,\n",
-    "    x_max=93,\n",
-    ")"
+    "project.display.posterior.predictive(expt_name='hrpt', x_min=92, x_max=93)"
    ]
   }
  ],

docs/docs/tutorials/ed-21.py

@@ -347,8 +347,4 @@
 # after the Bayesian run.
 
 # %%
-project.display.posterior.predictive(
-    expt_name='hrpt',
-    x_min=92,
-    x_max=93,
-)
+project.display.posterior.predictive(expt_name='hrpt', x_min=92, x_max=93)

src/easydiffraction/analysis/analysis.py

@@ -14,12 +14,12 @@
 from easydiffraction.analysis.categories.fit import FitFactory
 from easydiffraction.analysis.categories.fit import FitModeEnum
 from easydiffraction.analysis.categories.joint_fit_experiments import JointFitExperiments
-from easydiffraction.analysis.fit_helpers.tracking import _make_display_handle
 from easydiffraction.analysis.fitting import Fitter
 from easydiffraction.core.singleton import ConstraintsHandler
 from easydiffraction.core.variable import NumericDescriptor
 from easydiffraction.core.variable import Parameter
 from easydiffraction.core.variable import StringDescriptor
+from easydiffraction.display.progress import make_display_handle
 from easydiffraction.display.tables import TableRenderer
 from easydiffraction.io.cif.serialize import analysis_to_cif
 from easydiffraction.utils.enums import VerbosityEnum
@@ -614,37 +614,43 @@ def _fit_single(
 
         short_display_handle = self._fit_single_print_header(verb, expt_names, mode)
         short_rows: list[list[str]] = []
+        self.fitter.minimizer.tracker._set_shared_display_handle(short_display_handle)
 
-        for expt_name in expt_names:
-            if verb is VerbosityEnum.FULL:
-                console.print(f"📋 Using experiment 🔬 '{expt_name}' for '{mode.value}' fitting")
+        try:
+            for expt_name in expt_names:
+                if verb is VerbosityEnum.FULL:
+                    console.print(
+                        f"📋 Using experiment 🔬 '{expt_name}' for '{mode.value}' fitting"
+                    )
 
-            experiment = experiments[expt_name]
-            self.fitter.fit(
-                structures,
-                [experiment],
-                analysis=self,
-                verbosity=verb,
-                use_physical_limits=use_physical_limits,
-                random_seed=random_seed,
-            )
+                experiment = experiments[expt_name]
+                self.fitter.fit(
+                    structures,
+                    [experiment],
+                    analysis=self,
+                    verbosity=verb,
+                    use_physical_limits=use_physical_limits,
+                    random_seed=random_seed,
+                )
 
-            # After fitting, snapshot parameter values before
-            # they get overwritten by the next experiment's fit
-            results = self.fitter.results
-            self._snapshot_params(expt_name, results)
-            self.fit_results = results
+                # After fitting, snapshot parameter values before
+                # they get overwritten by the next experiment's fit
+                results = self.fitter.results
+                self._snapshot_params(expt_name, results)
+                self.fit_results = results
 
-            # Short mode: append one summary row and update in-place
-            if verb is VerbosityEnum.SHORT:
-                self._fit_single_update_short_table(
-                    short_rows, expt_name, results, short_display_handle
-                )
+                # Short mode: append one summary row and update in-place
+                if verb is VerbosityEnum.SHORT:
+                    self._fit_single_update_short_table(
+                        short_rows, expt_name, results, short_display_handle
+                    )
+        finally:
+            self.fitter.minimizer.tracker._set_shared_display_handle(None)
 
-        # Short mode: close the display handle
-        if short_display_handle is not None and hasattr(short_display_handle, 'close'):
-            with suppress(Exception):
-                short_display_handle.close()
+            # Short mode: close the display handle
+            if short_display_handle is not None and hasattr(short_display_handle, 'close'):
+                with suppress(Exception):
+                    short_display_handle.close()
 
     @staticmethod
     def _fit_single_print_header(
@@ -680,7 +686,7 @@ def _fit_single_print_header(
         )
         console.print("🚀 Starting fit process with 'lmfit'...")
         console.print('📈 Goodness-of-fit (reduced χ²) per experiment:')
-        return _make_display_handle()
+        return make_display_handle()
 
     def _snapshot_params(self, expt_name: str, results: object) -> None:
         """