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Remove unnecessary debug outputs for production performance

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markus
2025-08-27 08:03:15 +00:00
parent cb1327a718
commit f8bb35e5be
5 changed files with 60 additions and 54 deletions
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5
app/models/economic_model.py
View File

@@ -318,9 +318,6 @@ class EconomicSimulation:
if not wealth_values: if not wealth_values:
return [], [] return [], []
# Debug logging
print(f"DEBUG: Wealth values - count: {len(wealth_values)}, min: {min(wealth_values)}, max: {max(wealth_values)}")
# Calculate histogram bins # Calculate histogram bins
min_wealth = min(wealth_values) min_wealth = min(wealth_values)
max_wealth = max(wealth_values) max_wealth = max(wealth_values)
@@ -328,7 +325,6 @@ class EconomicSimulation:
if min_wealth == max_wealth: if min_wealth == max_wealth:
# All agents have same wealth # All agents have same wealth
result = [f"${min_wealth:.0f}"], [len(wealth_values)] result = [f"${min_wealth:.0f}"], [len(wealth_values)]
print(f"DEBUG: All agents have same wealth - labels: {result[0]}, counts: {result[1]}")
return result return result
# Create bins # Create bins
@@ -357,7 +353,6 @@ class EconomicSimulation:
if bin_start <= wealth < bin_end: if bin_start <= wealth < bin_end:
bin_counts[i] += 1 bin_counts[i] += 1
print(f"DEBUG: Histogram result - labels: {bin_labels}, counts: {bin_counts}")
return bin_labels, bin_counts return bin_labels, bin_counts
def update_parameters(self, new_parameters: SimulationParameters): def update_parameters(self, new_parameters: SimulationParameters):

41
app/routes/api.py
View File

@@ -139,19 +139,29 @@ def start_simulation(simulation_id: str):
try: try:
# Run simulation with progress updates # Run simulation with progress updates
total_iterations = simulation.parameters.iterations total_iterations = simulation.parameters.iterations
last_update_time = time.time()
update_interval = max(0.1, min(1.0, 1000 / total_iterations)) # Dynamic update interval
for i in range(total_iterations): for i in range(total_iterations):
if not simulation.is_running: if not simulation.is_running:
break break
snapshot = simulation.step() snapshot = simulation.step()
# Emit progress update every 10 iterations or at milestones # Emit progress update at dynamic intervals for better performance
if i % 10 == 0 or i == total_iterations - 1: current_time = time.time()
# Get distribution data for real-time chart updates if (i % max(1, total_iterations // 100) == 0 or # Every 1% of iterations
bin_labels, bin_counts = simulation.get_wealth_histogram(10) i == total_iterations - 1 or # Last iteration
current_time - last_update_time >= update_interval): # Time-based update
# Debug logging # Get distribution data for real-time chart updates (but less frequently)
print(f"DEBUG: Sending distribution data - labels: {bin_labels}, counts: {bin_counts}") distribution_data = None
if i % max(1, total_iterations // 20) == 0 or i == total_iterations - 1:
bin_labels, bin_counts = simulation.get_wealth_histogram(8) # Reduced bins for performance
distribution_data = {
'labels': bin_labels,
'counts': bin_counts
}
progress_data = { progress_data = {
'simulation_id': simulation_id, 'simulation_id': simulation_id,
@@ -161,18 +171,19 @@ def start_simulation(simulation_id: str):
'total_wealth': snapshot.total_wealth, 'total_wealth': snapshot.total_wealth,
'gini_coefficient': snapshot.gini_coefficient, 'gini_coefficient': snapshot.gini_coefficient,
'capital_share': snapshot.capital_share, 'capital_share': snapshot.capital_share,
'wealth_concentration_top10': snapshot.wealth_concentration_top10, 'wealth_concentration_top10': snapshot.wealth_concentration_top10
'distribution': {
'labels': bin_labels,
'counts': bin_counts
}
} }
# Only include distribution data when we have it
if distribution_data:
progress_data['distribution'] = distribution_data
socketio.emit('simulation_progress', progress_data, socketio.emit('simulation_progress', progress_data,
room=f'simulation_{simulation_id}') room=f'simulation_{simulation_id}')
last_update_time = current_time
# Small delay to allow real-time visualization # Adaptive delay based on performance
time.sleep(0.01) time.sleep(max(0.001, 0.01 * (total_iterations / 1000)))
# Mark as completed # Mark as completed
simulation.is_running = False simulation.is_running = False
@@ -367,7 +378,7 @@ def get_wealth_distribution(simulation_id: str):
bin_labels, bin_counts = simulation.get_wealth_histogram(num_bins) bin_labels, bin_counts = simulation.get_wealth_histogram(num_bins)
# Debug logging # Debug logging
print(f"DEBUG: Distribution endpoint - labels: {bin_labels}, counts: {bin_counts}, bins: {num_bins}") # print(f"DEBUG: Distribution endpoint - labels: {bin_labels}, counts: {bin_counts}, bins: {num_bins}")
response_data = { response_data = {
'simulation_id': simulation_id, 'simulation_id': simulation_id,
@@ -379,7 +390,7 @@ def get_wealth_distribution(simulation_id: str):
} }
} }
print(f"DEBUG: Distribution endpoint response: {response_data}") # print(f"DEBUG: Distribution endpoint response: {response_data}")
return jsonify(response_data) return jsonify(response_data)
except Exception as e: except Exception as e:

10
app/routes/main.py
View File

@@ -191,10 +191,14 @@ def test_simulation():
def debug_info(): def debug_info():
""" """
Debug endpoint to verify deployment and test functionality. Debug endpoint to verify deployment and test functionality.
Only available in development mode.
Returns:
JSON response with debug information
""" """
from flask import current_app
# Only allow debug endpoint in development mode
if not current_app.config.get('DEVELOPMENT', False):
return jsonify({'error': 'Debug endpoint not available in production'}), 403
import os import os
from datetime import datetime from datetime import datetime
from app.models.economic_model import EconomicSimulation, SimulationParameters from app.models.economic_model import EconomicSimulation, SimulationParameters

14
app/static/js/app.js
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@@ -26,13 +26,13 @@ function initializeSocket() {
window.MarkovEconomics.socket = io(); window.MarkovEconomics.socket = io();
window.MarkovEconomics.socket.on('connect', function() { window.MarkovEconomics.socket.on('connect', function() {
console.log('Connected to server'); // console.log('Connected to server');
window.MarkovEconomics.isConnected = true; window.MarkovEconomics.isConnected = true;
updateConnectionStatus(true); updateConnectionStatus(true);
}); });
window.MarkovEconomics.socket.on('disconnect', function() { window.MarkovEconomics.socket.on('disconnect', function() {
console.log('Disconnected from server'); // console.log('Disconnected from server');
window.MarkovEconomics.isConnected = false; window.MarkovEconomics.isConnected = false;
updateConnectionStatus(false); updateConnectionStatus(false);
}); });
@@ -50,9 +50,9 @@ function initializeSocket() {
function updateConnectionStatus(connected) { function updateConnectionStatus(connected) {
// You can add a connection status indicator here if needed // You can add a connection status indicator here if needed
if (connected) { if (connected) {
console.log('✅ Real-time connection established'); // console.log('✅ Real-time connection established');
} else { } else {
console.log('❌ Real-time connection lost'); // console.log('❌ Real-time connection lost');
} }
} }
@@ -251,7 +251,7 @@ document.addEventListener('DOMContentLoaded', function() {
card.classList.add('fade-in'); card.classList.add('fade-in');
}); });
console.log('🚀 Markov Economics application initialized'); // console.log('🚀 Markov Economics application initialized');
}); });
/** /**
@@ -259,9 +259,9 @@ document.addEventListener('DOMContentLoaded', function() {
*/ */
document.addEventListener('visibilitychange', function() { document.addEventListener('visibilitychange', function() {
if (document.hidden) { if (document.hidden) {
console.log('Page hidden - pausing updates'); // console.log('Page hidden - pausing updates');
} else { } else {
console.log('Page visible - resuming updates'); // console.log('Page visible - resuming updates');
} }
}); });

44
app/static/js/simulation.js
View File

@@ -256,7 +256,7 @@ window.testDistributionChart = function() {
}; };
// Debug flag - can be enabled even in production for troubleshooting // Debug flag - can be enabled even in production for troubleshooting
const DEBUG_DISTRIBUTION = true; const DEBUG_DISTRIBUTION = false;
/** /**
* Debug logger that works in production * Debug logger that works in production
@@ -1002,43 +1002,39 @@ function updateSimulationProgress(data) {
progressText.textContent = percentage.toFixed(1) + '%'; progressText.textContent = percentage.toFixed(1) + '%';
} }
// Update charts and metrics // Update charts and metrics only if we have new data
if (data.iteration !== undefined) { if (data.iteration !== undefined) {
currentSimulation.data.iterations.push(data.iteration); // Only update time series data occasionally to improve performance
currentSimulation.data.totalWealth.push(data.total_wealth || 0); const shouldUpdateSeries = currentSimulation.data.iterations.length === 0 ||
currentSimulation.data.giniCoefficients.push(data.gini_coefficient || 0); data.iteration % Math.max(1, Math.floor(currentSimulation.parameters.iterations / 200)) === 0 ||
currentSimulation.data.capitalShare.push(data.capital_share || 0); data.iteration === (currentSimulation.parameters.iterations - 1);
currentSimulation.data.top10Share.push(data.wealth_concentration_top10 || 0);
if (shouldUpdateSeries) {
currentSimulation.data.iterations.push(data.iteration);
currentSimulation.data.totalWealth.push(data.total_wealth || 0);
currentSimulation.data.giniCoefficients.push(data.gini_coefficient || 0);
currentSimulation.data.capitalShare.push(data.capital_share || 0);
currentSimulation.data.top10Share.push(data.wealth_concentration_top10 || 0);
}
// Update distribution data if available // Update distribution data if available
debugLog('Received simulation progress data', {
hasDistribution: !!data.distribution,
distribution: data.distribution,
socketConnected: window.MarkovEconomics ? window.MarkovEconomics.isConnected : 'unknown'
});
// More robust handling of distribution data
if (data.distribution && if (data.distribution &&
Array.isArray(data.distribution.labels) && Array.isArray(data.distribution.labels) &&
Array.isArray(data.distribution.counts) && Array.isArray(data.distribution.counts) &&
data.distribution.labels.length > 0 && data.distribution.labels.length > 0 &&
data.distribution.counts.length > 0) { data.distribution.counts.length > 0) {
debugLog('Updating distribution data', {
labelsLength: data.distribution.labels.length,
countsLength: data.distribution.counts.length,
labels: data.distribution.labels,
counts: data.distribution.counts
});
// Store the distribution data properly // Store the distribution data properly
currentSimulation.data.distribution.labels = [...data.distribution.labels]; currentSimulation.data.distribution.labels = [...data.distribution.labels];
currentSimulation.data.distribution.counts = [...data.distribution.counts]; currentSimulation.data.distribution.counts = [...data.distribution.counts];
} else {
debugLog('No valid distribution data in progress update');
} }
updateCharts(); // Throttle chart updates to improve performance
if (!window.lastChartUpdate || (Date.now() - window.lastChartUpdate) > 50) {
updateCharts();
window.lastChartUpdate = Date.now();
}
updateMetricsDisplay(data); updateMetricsDisplay(data);
} }
} }