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Merge pull request #28 from Genovese-Felipe/copilot/fix-27
Resolve merge conflicts in PR #19 with comprehensive conflict resolution tools
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‎.gitignore‎

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*~
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# Node modules if using any JS tools
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node_modules/
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# Backup files
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*.backup
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docs/*.backup
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node_modules/

‎CONFLICT_RESOLUTION_GUIDE.md‎

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# Merge Conflict Resolution Guide for PR #19
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This document provides step-by-step instructions to resolve the merge conflicts between the Monica AI branch (`copilot/fix-5c3bb658-652d-4498-93d1-6a6c35ec39a3`) and the main branch.
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## Overview
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The conflicts arise from the Monica AI System integration attempting to merge with the main repository. The main conflicted files are:
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1. `.gitignore` - Different ignore patterns
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2. `final_dashboard.py` - Monica AI integration vs standard dashboard
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3. `README.md` - Documentation differences
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4. `test_dash.py` - Method naming differences
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5. `working_dashboard.py` - Plotly API differences
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6. Jupyter notebooks - Content differences
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## Conflict Resolution Strategy
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### 1. .gitignore Resolution
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**Conflict**: Main branch has comprehensive Python patterns vs PR branch has simpler patterns.
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**Resolution**: Merge both patterns to ensure comprehensive coverage:
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```gitignore
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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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*.so
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# Ensure all pycache directories are ignored
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*/__pycache__/
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**/__pycache__/
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# Distribution / packaging
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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MANIFEST
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```
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### 2. final_dashboard.py Resolution
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**Conflict**: Monica AI import statement and integration.
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**Resolution**: Use optional import pattern to maintain compatibility:
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```python
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# Import Monica AI Dashboard Integration (optional)
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try:
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from Monica_AI_System.dashboard_integration import integrate_monica_with_dashboard
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MONICA_AI_AVAILABLE = True
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except ImportError:
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MONICA_AI_AVAILABLE = False
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# ... later in the file ...
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if __name__ == '__main__':
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if MONICA_AI_AVAILABLE:
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print("🚀 Starting Enhanced Dashboard with Monica AI System on http://localhost:8052")
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print("📊 Features: Analytics Dashboard + Monica AI Bot System")
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print("🤖 Monica AI includes: Bot Management, API Integration, Knowledge Base, Writing Assistant")
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# Integrate Monica AI with the dashboard
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app = integrate_monica_with_dashboard(app)
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else:
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print("🚀 Starting Dashboard on http://localhost:8052")
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print("📊 Analytics Dashboard (Monica AI System not available)")
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app.run(debug=True, host='0.0.0.0', port=8052)
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```
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### 3. README.md Resolution
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**Resolution**: Keep the comprehensive documentation from main branch that includes Monica AI information.
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### 4. test_dash.py Resolution
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**Conflict**: `app.run()` vs `app.run_server()`
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**Resolution**: Use the standard Dash method:
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```python
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app.run_server(debug=True, host='0.0.0.0', port=8050)
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```
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### 5. working_dashboard.py Resolution
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**Conflicts**:
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- `update_xaxes()` vs `update_xaxis()`
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- `app.run()` vs `app.run_server()`
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**Resolution**: Use correct Plotly API and standard Dash method:
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```python
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bar_fig.update_xaxis(tickangle=45) # Correct Plotly API
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app.run_server(debug=True, host='0.0.0.0', port=8050) # Standard Dash method
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```
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### 6. Jupyter Notebooks
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**Resolution**: Accept the PR branch versions as they likely contain the Monica AI enhancements.
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## Step-by-Step Resolution Commands
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```bash
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# 1. Create local branches for testing
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git checkout -b main 39df6baec6955c6319b99ee42c13a4cf666ae36f
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git checkout -b pr-branch 667942ad2a9121e04a2ad6a727c80dcd01750590
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# 2. Attempt merge to see conflicts
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git checkout main
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git merge pr-branch --allow-unrelated-histories
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# 3. Resolve conflicts in each file as described above
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# 4. Stage resolved files
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git add .gitignore final_dashboard.py README.md test_dash.py working_dashboard.py
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git add Dashboard_Working.ipynb versao_finalizada_almost_there/Dashboard_Working.ipynb
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# 5. Commit the resolution
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git commit -m "Resolve merge conflicts in PR #19"
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```
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## Validation
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After resolving conflicts:
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1. **Syntax Check**: `python -m py_compile final_dashboard.py test_dash.py working_dashboard.py`
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2. **Import Check**: Test that the optional Monica AI import works correctly
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3. **Dashboard Test**: Run the dashboard to ensure it starts without errors
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## Key Benefits of This Resolution
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1. **Backward Compatibility**: Dashboard works with or without Monica AI System
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2. **Enhanced Functionality**: When Monica AI is available, provides enhanced features
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3. **Correct API Usage**: Uses proper Plotly and Dash methods
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4. **Comprehensive Gitignore**: Covers all Python development scenarios
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5. **Preserved Documentation**: Maintains both original and enhanced documentation

‎README.md‎

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- 🏗️ **Construction-focused**: Tailored for project management needs
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## Find and Analyze the Dashboard/Graph
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Python & Plotly Data Visualization and storytelling: given a type of plot (dashboard, Sankey diagram, etc.), Recreate a similar visual that tells the same story using a dummy dataset, Python scripts for data generation and visualization that would naturally produce the visual you created.
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Python & Plotly Data Visualization and storytelling: given a type of plot (dashboard, Sankey diagram, etc.), Recreate a similar visual that tells the same story using a dummy dataset, Python scripts for data generation and visualization that would naturally produce the visual you created.
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The data row begins with searching the web for a reference image of a business-related dashboard or graph that matches the chart description you are given. For example, it may search for something such as “dashboard for business software”.
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‎final_dashboard.py‎

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import pandas as pd
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import numpy as np
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# Import Monica AI Dashboard Integration
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from Monica_AI_System.dashboard_integration import integrate_monica_with_dashboard
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# Generate simple data
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np.random.seed(42)
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projects = []
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))
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sunburst_fig.update_layout(title="Project Hierarchy - Sunburst")
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return pie_fig, bar_fig, scatter_fig, sunburst_fig, filtered_df.to_dict('records')
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if __name__ == '__main__':
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return pie_fig, bar_fig, scatter_fig, sunburst_fig, filtered_df.to_dict('records')

‎test_dash.py‎

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if __name__ == '__main__':
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print("🚀 Servidor Dash iniciando...")
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print("📊 Dashboard disponível em: http://localhost:8050")
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app.run(debug=True, host='0.0.0.0', port=8050)
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app.run_server(debug=True, host='0.0.0.0', port=8050)

‎validate_conflict_resolution.py‎

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#!/usr/bin/env python3
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"""
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Conflict Resolution Validation Script
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====================================
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This script validates that the merge conflict resolution is correct
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by testing the resolved files without requiring all dependencies.
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"""
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import ast
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import os
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import sys
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def test_python_syntax(filepath):
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"""Test if a Python file has valid syntax."""
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print(f"\n🔍 Testing syntax: {filepath}")
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try:
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with open(filepath, 'r') as f:
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source = f.read()
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# Check for remaining conflict markers
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conflict_markers = ['<<<<<<<', '=======' , '>>>>>>>']
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for marker in conflict_markers:
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if marker in source:
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print(f"❌ Found conflict marker '{marker}' in {filepath}")
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return False
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# Test syntax
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ast.parse(source)
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print(f"✅ {filepath} has valid Python syntax")
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return True
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except SyntaxError as e:
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print(f"❌ Syntax error in {filepath}: {e}")
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return False
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except FileNotFoundError:
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print(f"❌ File not found: {filepath}")
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return False
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except Exception as e:
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print(f"❌ Error testing {filepath}: {e}")
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return False
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def test_gitignore():
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"""Test that .gitignore is properly resolved."""
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print("\n🔍 Testing .gitignore resolution")
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try:
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with open('.gitignore', 'r') as f:
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content = f.read()
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# Check for conflict markers
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if any(marker in content for marker in ['<<<<<<<', '=======', '>>>>>>>']):
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print("❌ .gitignore still contains conflict markers")
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return False
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# Check for expected patterns
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expected_patterns = [
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'__pycache__/',
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'*/__pycache__/',
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'**/__pycache__/',
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'.Python',
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'build/',
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'dist/',
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'.vscode/',
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'.DS_Store'
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]
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missing_patterns = []
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for pattern in expected_patterns:
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if pattern not in content:
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missing_patterns.append(pattern)
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if missing_patterns:
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print(f"❌ Missing expected patterns in .gitignore: {missing_patterns}")
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return False
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print("✅ .gitignore properly resolved with comprehensive patterns")
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return True
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except Exception as e:
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print(f"❌ Error testing .gitignore: {e}")
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return False
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def test_optional_import_pattern():
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"""Test that final_dashboard.py has proper optional import pattern."""
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print("\n🔍 Testing optional import pattern in final_dashboard.py")
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try:
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with open('final_dashboard.py', 'r') as f:
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content = f.read()
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# Check for optional import pattern
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if 'try:' not in content or 'MONICA_AI_AVAILABLE' not in content:
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print("❌ final_dashboard.py missing optional import pattern")
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return False
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if 'except ImportError:' not in content:
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print("❌ final_dashboard.py missing ImportError handling")
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return False
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print("✅ final_dashboard.py has proper optional import pattern")
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return True
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except Exception as e:
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print(f"❌ Error testing optional import pattern: {e}")
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return False
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def main():
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"""Run all validation tests."""
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print("🧪 Running Conflict Resolution Validation")
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print("=" * 50)
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tests = [
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("Python Syntax Tests", [
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lambda: test_python_syntax('final_dashboard.py'),
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lambda: test_python_syntax('test_dash.py'),
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lambda: test_python_syntax('working_dashboard.py'),
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]),
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("File Resolution Tests", [
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test_gitignore,
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test_optional_import_pattern,
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])
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]
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total_tests = 0
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passed_tests = 0
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for category, test_functions in tests:
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print(f"\n📋 {category}")
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print("-" * 30)
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for test_func in test_functions:
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total_tests += 1
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if test_func():
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passed_tests += 1
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print(f"\n📊 Results: {passed_tests}/{total_tests} tests passed")
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if passed_tests == total_tests:
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print("🎉 All conflict resolution tests passed!")
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print("✅ The merge conflicts have been properly resolved")
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return True
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else:
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print("❌ Some tests failed - conflicts may not be fully resolved")
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return False
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if __name__ == '__main__':
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success = main()
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sys.exit(0 if success else 1)

‎working_dashboard.py‎

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# Completion Bar Chart
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bar_fig = px.bar(filtered_df, x='project_id', y='completion',
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title="Project Completion %", color='status')
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bar_fig.update_xaxes(tickangle=45)
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bar_fig.update_xaxis(tickangle=45)
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# Budget Scatter
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scatter_fig = px.scatter(filtered_df, x='completion', y='budget',
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if __name__ == '__main__':
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print("🚀 Dashboard starting at http://localhost:8050")
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app.run(debug=True, host='0.0.0.0', port=8050)
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app.run_server(debug=True, host='0.0.0.0', port=8050)

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