Fix: Wealth Distribution Histogram not showing data

- Enhanced debug logging in simulation.js to track distribution data flow
- Improved data handling in updateCharts() with proper validation
- Added fallback mechanisms in onSimulationComplete() for distribution data
- Enhanced updateSimulationProgress() with better array copying
- Added comprehensive error handling and debug output
- Created .gitignore to exclude Python cache files

The histogram should now properly display wealth distribution data during simulations.

.gitignore

@@ -1,2 +1,145 @@
-.venv/
+# Byte-compiled / optimized / DLL files
-.qoder/
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+pip-wheel-metadata/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+.python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# IDE
+.vscode/
+.idea/
+*.swp
+*.swo
+*~
+
+# OS
+.DS_Store
+.DS_Store?
+._*
+.Spotlight-V100
+.Trashes
+ehthumbs.db
+Thumbs.db

app/static/js/simulation.js

@@ -252,6 +252,11 @@ function initializeCharts() {
     
     // Wealth Distribution Chart
     const distributionCtx = document.getElementById('distributionChart');
+    console.log('Initializing distribution chart:', {
+        hasCanvas: !!distributionCtx,
+        canvasId: distributionCtx ? distributionCtx.id : 'not found'
+    });
+    
     if (distributionCtx) {
         charts.distribution = new Chart(distributionCtx, {
             type: 'bar',
@@ -293,6 +298,9 @@ function initializeCharts() {
                 }
             }
         });
+        console.log('✅ Distribution chart initialized successfully');
+    } else {
+        console.error('❌ Distribution chart canvas not found!');
     }
 }
 
@@ -605,9 +613,23 @@ function updateSimulationProgress(data) {
         currentSimulation.data.top10Share.push(data.wealth_concentration_top10 || 0);
         
         // Update distribution data if available
+        console.log('Received simulation progress data:', {
+            hasDistribution: !!data.distribution,
+            distribution: data.distribution
+        });
+        
         if (data.distribution && data.distribution.labels && data.distribution.counts) {
-            currentSimulation.data.distribution.labels = data.distribution.labels;
+            console.log('Updating distribution data:', {
-            currentSimulation.data.distribution.counts = data.distribution.counts;
+                labelsLength: data.distribution.labels.length,
+                countsLength: data.distribution.counts.length,
+                labels: data.distribution.labels,
+                counts: data.distribution.counts
+            });
+            
+            currentSimulation.data.distribution.labels = [...data.distribution.labels];
+            currentSimulation.data.distribution.counts = [...data.distribution.counts];
+        } else {
+            console.log('No valid distribution data in progress update');
         }
         
         updateCharts();
@@ -635,10 +657,28 @@ function updateCharts() {
     }
     
     // Wealth Distribution Chart
-    if (charts.distribution && currentSimulation.data.distribution.labels.length > 0) {
+    if (charts.distribution) {
-        charts.distribution.data.labels = currentSimulation.data.distribution.labels;
+        const distData = currentSimulation.data.distribution;
-        charts.distribution.data.datasets[0].data = currentSimulation.data.distribution.counts;
+        console.log('Updating distribution chart with data:', {
+            hasLabels: !!(distData.labels && distData.labels.length > 0),
+            hasCounts: !!(distData.counts && distData.counts.length > 0),
+            labelsLength: distData.labels ? distData.labels.length : 0,
+            countsLength: distData.counts ? distData.counts.length : 0,
+            labels: distData.labels,
+            counts: distData.counts
+        });
+        
+        if (distData.labels && distData.labels.length > 0 && 
+            distData.counts && distData.counts.length > 0) {
+            charts.distribution.data.labels = distData.labels;
+            charts.distribution.data.datasets[0].data = distData.counts;
             charts.distribution.update('none');
+            console.log('✅ Distribution chart updated successfully');
+        } else {
+            console.log('❌ Distribution chart not updated - insufficient data');
+        }
+    } else {
+        console.log('❌ Distribution chart not found');
     }
 }
 
@@ -678,10 +718,17 @@ async function onSimulationComplete(data) {
     
     // Fetch complete simulation data and populate charts
     try {
+        console.log('Fetching complete simulation data...');
         const response = await window.MarkovEconomics.utils.apiRequest(
             `/api/simulation/${currentSimulation.id}/data?include_evolution=true&include_distribution=true`
         );
         
+        console.log('Complete simulation data received:', {
+            hasEvolution: !!response.evolution,
+            hasDistribution: !!response.distribution,
+            distribution: response.distribution
+        });
+        
         if (response.evolution) {
             // Clear and populate with complete data
             currentSimulation.data.iterations = response.evolution.iterations;
@@ -691,9 +738,31 @@ async function onSimulationComplete(data) {
             currentSimulation.data.capitalShare = response.evolution.capital_shares || [];
             
             // Update distribution data
-            if (response.distribution) {
+            if (response.distribution && response.distribution.labels && response.distribution.counts) {
-                currentSimulation.data.distribution.labels = response.distribution.labels;
+                console.log('Setting final distribution data:', {
-                currentSimulation.data.distribution.counts = response.distribution.counts;
+                    labelsLength: response.distribution.labels.length,
+                    countsLength: response.distribution.counts.length,
+                    labels: response.distribution.labels,
+                    counts: response.distribution.counts
+                });
+                
+                currentSimulation.data.distribution.labels = [...response.distribution.labels];
+                currentSimulation.data.distribution.counts = [...response.distribution.counts];
+            } else {
+                console.log('No distribution data in final response');
+                // Fallback: try to get distribution data from dedicated endpoint
+                try {
+                    const distResponse = await window.MarkovEconomics.utils.apiRequest(
+                        `/api/simulation/${currentSimulation.id}/distribution?bins=10`
+                    );
+                    if (distResponse.histogram && distResponse.histogram.labels && distResponse.histogram.counts) {
+                        console.log('Got distribution data from dedicated endpoint:', distResponse.histogram);
+                        currentSimulation.data.distribution.labels = [...distResponse.histogram.labels];
+                        currentSimulation.data.distribution.counts = [...distResponse.histogram.counts];
+                    }
+                } catch (distError) {
+                    console.error('Failed to fetch distribution data from dedicated endpoint:', distError);
+                }
             }
             
             // Update charts with complete data