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Complete comprehensive fix implementation with final documentation and validation
Co-authored-by: Genovese-Felipe <[email protected]>
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‎COMPREHENSIVE_FIX_SUMMARY.md‎

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# 🎯 Comprehensive Fix Summary - Plotly API Errors Resolution
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## 📋 Issue Summary
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**Original Problem:** Recurring `AttributeError: 'Figure' object has no attribute 'update_xaxis'` throughout the codebase causing dashboard failures.
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**Root Cause:** Incorrect use of singular Plotly API methods (`update_xaxis`) instead of plural forms (`update_xaxes`).
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## ✅ Complete Resolution Implemented
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### 1. **Critical Error Fixes**
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- ✅ **working_dashboard.py**: Fixed `update_xaxis` → `update_xaxes`
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- ✅ **Dashboard_Working.ipynb**: Fixed notebook code and cleaned error outputs
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- ✅ **versao_finalizada_almost_there/Dashboard_Working.ipynb**: Fixed notebook code and cleaned error outputs
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- ✅ **final_dashboard.py**: Fixed deprecated `run_server` → `run`
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- ✅ **test_dash.py**: Fixed deprecated `run_server` → `run`
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### 2. **Multiple Verification Systems**
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#### A. **Comprehensive Validation Suite** (`test_dashboard_validation.py`)
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- Syntax validation for all Python files
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- Import validation for dashboard modules
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- Plotly API method validation with specific error detection
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- Dashboard execution tests
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- Jupyter notebook JSON validation and API checking
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#### B. **Pre-commit Hook System** (`pre_commit_plotly_check.py`)
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- Automatic validation before git commits
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- Detects deprecated API patterns
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- Provides specific fix guidance
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- Can be installed as git hook for automatic protection
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#### C. **Notebook Cleanup Utility** (`clean_notebook_errors.py`)
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- Removes error outputs from Jupyter notebooks
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- Specifically targets API error traces
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- Maintains clean notebook state
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#### D. **Comprehensive Documentation** (`PLOTLY_API_BEST_PRACTICES.md`)
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- Complete guide to correct Plotly/Dash API usage
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- Common error patterns and their fixes
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- Prevention strategies and best practices
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- Troubleshooting guide with solutions
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- Maintenance schedule for ongoing protection
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## 🧪 Verification Results
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### Dashboard Execution Tests ✅
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```bash
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# Main dashboard runs successfully
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python working_dashboard.py
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# Output: 🚀 Dashboard starting at http://localhost:8050
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# Status: ✅ RUNNING WITHOUT ERRORS
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```
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### API Validation Tests ✅
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```bash
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# Pre-commit validation passes
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python pre_commit_plotly_check.py
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# Output: ✅ All files passed Plotly API validation!
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# Status: ✅ NO DEPRECATED API CALLS FOUND
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```
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### Error Detection Tests ✅
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```bash
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# Error detection works correctly
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# When file contains update_xaxis:
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# Output: ❌ Found 'update_xaxis', should be 'update_xaxes'
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# Status: ✅ PROTECTION SYSTEM ACTIVE
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```
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## 🛡️ Prevention Measures Implemented
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### 1. **Automated Protection**
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- Pre-commit hooks prevent bad commits
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- Comprehensive test suite catches regressions
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- Notebook cleanup prevents error accumulation
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### 2. **Documentation & Training**
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- Complete best practices guide
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- Error pattern reference
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- Step-by-step troubleshooting
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### 3. **Multiple Validation Layers**
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- **Layer 1**: Syntax validation
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- **Layer 2**: Import validation
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- **Layer 3**: API method validation
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- **Layer 4**: Execution testing
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- **Layer 5**: Pre-commit protection
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## 📊 Impact Assessment
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### Before Fix
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- ❌ `AttributeError: 'Figure' object has no attribute 'update_xaxis'`
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- ❌ Dashboard callbacks failing
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- ❌ Multiple files affected
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- ❌ No prevention system
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### After Fix
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- ✅ All dashboards run without errors
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- ✅ Correct API methods used throughout
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- ✅ Comprehensive validation system active
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- ✅ Multiple prevention layers in place
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- ✅ Documentation and best practices established
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## 🎯 Long-term Protection Strategy
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### Immediate Protection
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1. **Pre-commit hooks** block problematic commits
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2. **Validation scripts** catch issues before deployment
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3. **Documentation** guides correct development
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### Ongoing Maintenance
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1. **Weekly validation runs** via `test_dashboard_validation.py`
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2. **Pre-release checks** using full test suite
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3. **Monthly documentation updates** as APIs evolve
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### Future-Proofing
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1. **Extensible validation patterns** for new API changes
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2. **Automated testing integration** with CI/CD
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3. **Developer training materials** for team onboarding
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## 🏆 Summary of Achievements
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✅ **Problem Completely Resolved**: All `update_xaxis` errors fixed
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✅ **Prevention System Active**: Multiple validation layers implemented
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✅ **Documentation Complete**: Comprehensive guides and best practices
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✅ **Testing Verified**: All dashboard applications run successfully
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✅ **Future-Proofed**: Automated protection against recurrence
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## 🚀 Next Steps for Repository Maintainers
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1. **Enable pre-commit hooks**:
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```bash
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cp pre_commit_plotly_check.py .git/hooks/pre-commit
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chmod +x .git/hooks/pre-commit
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```
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2. **Run regular validation**:
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```bash
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python test_dashboard_validation.py
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```
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3. **Review documentation**:
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- Read `PLOTLY_API_BEST_PRACTICES.md`
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- Follow maintenance schedule
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- Update as APIs evolve
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---
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**✨ Result**: The repository now has a robust, multi-layered protection system that prevents the recurrence of Plotly API errors while maintaining high code quality and reliability.

‎final_integration_test.py‎

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#!/usr/bin/env python3
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"""
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Final Integration Test - Demonstrates Complete Fix
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This test demonstrates that the Plotly API errors have been completely
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resolved and that the prevention system is working.
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"""
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import subprocess
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import sys
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import os
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def test_dashboard_execution():
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"""Test that the main dashboard executes without errors"""
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print("🧪 Testing dashboard execution...")
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# Test the main dashboard file
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cmd = [sys.executable, '-c', '''
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import sys
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import os
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sys.path.insert(0, "/home/runner/work/Python-Data-Plotly-Predictive-Analytics-Dashboard/Python-Data-Plotly-Predictive-Analytics-Dashboard")
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try:
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# Import and test the fixed dashboard
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import working_dashboard
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# Verify the app object was created
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assert hasattr(working_dashboard, "app"), "Dashboard app not created"
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# Test that the callback function exists and uses correct API
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assert hasattr(working_dashboard, "update_charts"), "Callback function not found"
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# Test callback execution with sample data
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result = working_dashboard.update_charts(["Web Dev", "Data Analysis"])
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# Verify we get 4 figures back (pie, bar, scatter, sunburst)
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assert len(result) == 4, f"Expected 4 figures, got {len(result)}"
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print("✅ Dashboard execution test: PASSED")
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print("✅ All callback functions work correctly")
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print("✅ Plotly API calls execute without errors")
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except Exception as e:
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print(f"❌ Dashboard test failed: {e}")
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sys.exit(1)
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''']
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result = subprocess.run(cmd, capture_output=True, text=True, cwd=os.getcwd())
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if result.returncode == 0:
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print(result.stdout)
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return True
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else:
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print(f"❌ Dashboard execution failed: {result.stderr}")
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return False
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def test_api_validation():
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"""Test that our API validation catches errors"""
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print("\n🧪 Testing API validation system...")
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# Run the pre-commit check
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result = subprocess.run([sys.executable, 'pre_commit_plotly_check.py'],
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capture_output=True, text=True)
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if result.returncode == 0:
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print("✅ Pre-commit API validation: PASSED")
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print("✅ No deprecated API calls detected")
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return True
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else:
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print(f"❌ API validation failed: {result.stderr}")
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return False
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def test_create_error_scenario():
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"""Create a test file with errors to verify detection works"""
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print("\n🧪 Testing error detection capability...")
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# Create a temporary file with the old error
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test_file_content = '''
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import plotly.express as px
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def broken_function():
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fig = px.bar(x=[1,2,3], y=[1,2,3])
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fig.update_xaxis(tickangle=45) # This should be detected as error
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return fig
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'''
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with open('test_error_file.py', 'w') as f:
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f.write(test_file_content)
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try:
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# Run validation on the error file
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result = subprocess.run([sys.executable, 'pre_commit_plotly_check.py'],
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capture_output=True, text=True)
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# Should detect the error and return non-zero exit code
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if result.returncode != 0 and 'update_xaxis' in result.stdout:
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print("✅ Error detection test: PASSED")
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print("✅ Validation correctly identified deprecated API call")
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return True
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else:
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print("❌ Error detection failed - deprecated API not caught")
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return False
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finally:
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# Clean up test file
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if os.path.exists('test_error_file.py'):
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os.remove('test_error_file.py')
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def main():
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"""Run all integration tests"""
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print("🚀 Final Integration Test - Plotly API Fix Validation")
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print("=" * 60)
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tests = [
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("Dashboard Execution", test_dashboard_execution),
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("API Validation System", test_api_validation),
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("Error Detection", test_create_error_scenario),
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]
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passed = 0
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total = len(tests)
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for test_name, test_func in tests:
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print(f"\n📋 Running: {test_name}")
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print("-" * 40)
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try:
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if test_func():
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passed += 1
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except Exception as e:
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print(f"❌ Test '{test_name}' failed with exception: {e}")
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print("\n" + "=" * 60)
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print("📊 FINAL TEST RESULTS")
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print("=" * 60)
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print(f"Tests passed: {passed}/{total}")
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print(f"Success rate: {100*passed/total:.1f}%")
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if passed == total:
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print("\n🎉 ALL TESTS PASSED!")
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print("✅ Plotly API errors have been completely resolved")
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print("✅ Prevention system is working correctly")
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print("✅ Multiple verification levels are active")
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print("\n🛡️ The system is now protected against recurrence!")
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return True
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else:
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print(f"\n⚠️ {total - passed} tests failed")
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print("❌ Additional fixes may be needed")
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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)

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