```
# 🔧 Troubleshooting Guide - Aviation Safety AI Framework
## Quick Diagnosis
### Run System Check
```bash
# Comprehensive system check
aviation_safety diagnose --all
# Check specific components
aviation_safety check-data
aviation_safety check-models
aviation_safety check-certification
```
Common Symptoms and Immediate Actions
```
Symptom: "CUDA out of memory"
Action:
export CUDA_VISIBLE_DEVICES="" # Force CPU
aviation_safety config set hardware.use_gpu false
Symptom: "ImportError: No module named 'aviation_safety'"
Action:
pip install --upgrade aviation-safety-ai
python -c "import aviation_safety; print(aviation_safety.__file__)"
Symptom: "JSONDecodeError in notebook"
Action:
python -m json.tool problematic_file.ipynb
jupyter nbconvert --to script problematic_file.ipynb
Symptom: "MemoryError with large datasets"
Action:
aviation_safety config set data.chunk_size 1000
export PYTHONMALLOC=malloc
```
Installation Issues
Issue 1: Dependency Conflicts
```
Error: "Cannot uninstall 'numpy'" or version conflicts
Solution:
1. Create fresh environment:
python -m venv fresh_aviation
source fresh_aviation/bin/activate
2. Install with dependency isolation:
pip install aviation-safety-ai --no-deps
pip install numpy==1.21.0 scipy==1.7.0 pandas==1.3.0
3. Or use conda:
conda create -n aviation python=3.9
conda activate aviation
conda install numpy scipy pandas
pip install aviation-safety-ai
```
Issue 2: GPU/CUDA Problems
```
Error: "Could not load dynamic library 'libcudart.so.11.0'"
Solutions:
A. Install CUDA Toolkit:
# Ubuntu
sudo apt install nvidia-cuda-toolkit
# Verify
nvidia-smi
nvcc --version
B. Use CPU-only version:
pip install aviation-safety-ai[cpu]
C. Specific CUDA version:
pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118
Diagnostic Commands:
python -c "import torch; print(torch.cuda.is_available())"
aviation_safety check-gpu
```
Issue 3: Permission Denied
```
Error: "Permission denied" or "Access denied"
Solutions:
1. Use virtual environment (recommended):
python -m venv ~/aviation_env --without-pip
source ~/aviation_env/bin/activate
2. Install with user flag:
pip install --user aviation-safety-ai
3. Fix permissions:
sudo chown -R $USER:$USER ~/.local/lib/python3.9/
sudo chmod -R 755 ~/.cache/pip
4. On Windows: Run as Administrator
```
Runtime Issues
Issue 4: Model Loading Errors
```
Error: "Unable to load model" or "Invalid model file"
Diagnosis:
aviation_safety check-model --model-path=/path/to/model.pkl
Solutions:
A. Corrupted model file:
# Re-download or retrain
aviation_safety models download --name=hybrid_v1
aviation_safety models retrain --data=/path/to/data
B. Version mismatch:
# Check compatibility
aviation_safety version
aviation_safety models compat --model=/path/to/model.pkl
# Convert model
aviation_safety models convert --input=old_model.pkl --output=new_model.pkl
C. Missing dependencies:
pip install joblib>=1.1.0
pip install cloudpickle>=2.2.0
```
Issue 5: Data Format Problems
```
Error: "Invalid data format" or "Missing required columns"
Diagnosis:
aviation_safety validate-data --file=flight_data.csv
Solutions:
A. Fix CSV format:
# Check and repair
aviation_safety data repair --input=broken.csv --output=fixed.csv
# Minimum required columns
Required: timestamp, pitch, bank, power
Optional: altitude, airspeed, heading, vertical_speed
B. Convert formats:
# CSV to HDF5
aviation_safety data convert --from=csv --to=hdf5 --input=data.csv
# ARINC to CSV
aviation_safety data decode-arinc --input=arinc_data.bin
C. Sample data validation:
# Generate test data
aviation_safety data generate-test --samples=1000 --output=test_data.csv
# Validate against spec
aviation_safety data validate --spec=docs/data_format.md --data=test_data.csv
```
Issue 6: Memory Issues
```
Error: "MemoryError", "Killed", or excessive swapping
Diagnosis:
aviation_safety check-memory --detailed
Solutions:
A. Reduce memory usage:
# Process in chunks
aviation_safety config set data.chunk_size 1000
aviation_safety config set data.use_memory_map true
# Limit parameters
aviation_safety config set data.max_parameters 50
B. Increase system limits:
# Linux
ulimit -s unlimited
export PYTHONMALLOC=malloc
# Windows
# Increase virtual memory in System Properties
C. Use streaming:
from aviation_safety.data import StreamingFlightData
data = StreamingFlightData('large_file.h5', chunk_size=1000)
```
Issue 7: Performance Problems
```
Symptom: Slow inference (>100ms), high CPU usage
Diagnosis:
aviation_safety profile --duration=60 --output=profile.json
Solutions:
A. Optimize configuration:
aviation_safety config set inference.batch_size 32
aviation_safety config set inference.use_quantization true
aviation_safety config set hardware.num_threads 4
B. Use compiled models:
aviation_safety models compile --model=model.pkl --optimize=speed
C. Hardware acceleration:
# Enable GPU
aviation_safety config set hardware.use_gpu true
# Use Intel MKL
export MKL_NUM_THREADS=4
export OMP_NUM_THREADS=4
```
Certification and Compliance Issues
Issue 8: DO-178C Compliance Errors
```
Error: "Certification validation failed" or missing evidence
Solutions:
A. Generate missing evidence:
aviation_safety certification generate-evidence --level=B --output=/evidence
B. Run compliance tests:
aviation_safety certification test --standard=DO-178C --level=B
C. Fix configuration:
aviation_safety config set certification.enabled true
aviation_safety config set certification.level B
aviation_safety config set logging.audit_trail true
D. Common compliance issues:
# Missing traceability
aviation_safety certification trace --requirement=all
# Insufficient test coverage
aviation_safety test --coverage --min-coverage=100
# Configuration management
aviation_safety certification config-version --save
```
Issue 9: EASA AI Trustworthiness Failures
```
Error: AI Trustworthiness principle violations
Diagnosis:
aviation_safety certification check-trustworthiness --detailed
Solutions per principle:
1. Human Agency:
aviation_safety config set ethics.pilot_authority_required true
aviation_safety config set interface.suggest_only true
2. Technical Robustness:
aviation_safety test robustness --iterations=1000
aviation_safety certification stress-test --duration=24h
3. Transparency:
aviation_safety explain --model=hybrid_v1 --input=sample_data.csv
aviation_safety config set logging.explainability_level detailed
4. Accountability:
aviation_safety audit --start-date=2025-01-01 --end-date=2025-12-31
aviation_safety config set ethics.audit_trail_retention_days 365
```
Integration Issues
Issue 10: Flight Simulator Connection Problems
```
Error: Cannot connect to X-Plane/MSFS or data mismatch
Solutions:
A. X-Plane specific:
# Check DataRefTool plugin installed
# Verify IP and port
aviation_safety integration test-xplane --host=127.0.0.1 --port=49000
# Fix data mapping
aviation_safety integration map-datarefs --simulator=xplane --aircraft=A380
B. Microsoft Flight Simulator:
# Install SimConnect SDK
aviation_safety integration install-simconnect
# Check WASM module
aviation_safety integration check-wasm --msfs-path="/path/to/MSFS"
C. Generic connection test:
# Test data flow
aviation_safety integration test --simulator=all --verbose
# Monitor network
aviation_safety integration monitor --duration=10 --output=network_log.json
```
Issue 11: API and Web Service Problems
```
Error: API timeout, authentication failures, or rate limiting
Diagnosis:
aviation_safety api diagnose --endpoint=https://api.emeraldcompass.aero
Solutions:
A. Authentication:
# Check API key
aviation_safety config set api.key YOUR_API_KEY
aviation_safety config set api.verify_ssl true
# Renew token
aviation_safety api renew-token
B. Network issues:
# Test connectivity
aviation_safety api ping --timeout=5
# Use proxy if needed
aviation_safety config set network.proxy "http://proxy:8080"
# Increase timeout
aviation_safety config set api.timeout 30
C. Rate limiting:
# Check usage
aviation_safety api usage
# Implement backoff
aviation_safety config set api.retry_attempts 3
aviation_safety config set api.retry_delay 1.0
```
Issue 12: Database and Storage Issues
```
Error: Database connection failed, disk full, or corruption
Diagnosis:
aviation_safety storage diagnose --check-all
Solutions:
A. Database connection:
# PostgreSQL
aviation_safety storage test-postgres --host=localhost --port=5432
# SQLite
aviation_safety storage repair-sqlite --db-file=aviation.db
# TimescaleDB
aviation_safety storage optimize-timescale --hypertable=flight_data
B. Disk space:
# Check and clean
aviation_safety storage clean-cache --all
aviation_safety storage clean-logs --older-than=30
aviation_safety storage compress-data --input=/data --output=/data/compressed
C. Data corruption:
# Verify integrity
aviation_safety storage verify --file=/data/flight.h5
# Repair if possible
aviation_safety storage repair --file=corrupted.h5 --backup-first
# Restore from backup
aviation_safety storage restore --backup=20251228.tar.gz --target=/data
```
Development and Debugging
Issue 13: Jupyter Notebook Problems
```
Error: Kernel crashes, display issues, or kernel not found
Solutions:
A. Kernel issues:
# Reinstall kernel
python -m ipykernel install --user --name=aviation --display-name="Aviation Safety"
# Check kernel spec
jupyter kernelspec list
jupyter kernelspec remove aviation # If corrupted
# Launch with debug
jupyter notebook --debug
B. Display/rendering:
# Fix matplotlib in notebooks
%matplotlib inline
import matplotlib.pyplot as plt
plt.rcParams['figure.figsize'] = [12, 8]
# Plotly renderer
import plotly.io as pio
pio.renderers.default = 'notebook'
C. Memory in notebooks:
# Clear memory
import gc
gc.collect()
# Monitor memory
import psutil
process = psutil.Process()
print(f"Memory: {process.memory_info().rss / 1024 ** 2:.1f} MB")
```
Issue 14: Testing and CI/CD Failures
```
Error: Tests failing, coverage insufficient, or CI pipeline broken
Diagnosis:
aviation_safety test --coverage --verbose
Solutions:
A. Fix failing tests:
# Run specific test
pytest tests/test_modeling.py::test_van_der_pol -xvs
# Update test data
aviation_safety test update-fixtures --test=test_ccz_detection
# Skip problematic tests temporarily
pytest -k "not slow_integration"
B. Coverage issues:
# Generate coverage report
pytest --cov=aviation_safety --cov-report=html
# Identify missing coverage
aviation_safety coverage analyze --threshold=90
# Add missing tests
aviation_safety test generate --module=modeling --function=predict
C. CI/CD pipeline:
# Local CI simulation
aviation_safety ci simulate --pipeline=github-actions
# Fix environment
aviation_safety ci fix-environment --os=ubuntu-latest
# Cache dependencies
aviation_safety ci cache --strategy=pip
```
Issue 15: Version and Migration Issues
```
Error: Version conflicts, migration failures, or backward compatibility
Diagnosis:
aviation_safety version --check-compatibility
Solutions:
A. Version upgrade:
# Safe upgrade
aviation_safety upgrade --dry-run
aviation_safety upgrade --backup-first
# Version-specific fixes
aviation_safety fix-version --from=1.0.0 --to=2.0.0
B. Data migration:
# Migrate old data formats
aviation_safety data migrate --from-version=1.0 --to-version=2.0
# Convert models
aviation_safety models migrate --old-format=pkl --new-format=onnx
C. Configuration migration:
# Update config files
aviation_safety config migrate --old-config=config_v1.yaml
# Preserve custom settings
aviation_safety config backup --output=backup_config.yaml
aviation_safety config restore --input=backup_config.yaml --merge
```
Emergency Procedures
Issue 16: Critical System Failure
```
Symptom: Complete system crash, data loss, or safety violation
Emergency Procedures:
1. Immediate Actions:
# Stop all processing
aviation_safety emergency stop --immediate
# Isolate affected component
aviation_safety emergency isolate --component=model_predictor
# Activate fallback
aviation_safety emergency activate-fallback --mode=basic_safety
2. Data Preservation:
# Emergency backup
aviation_safety emergency backup --critical-only
# Freeze system state
aviation_safety emergency freeze-state --output=/emergency_state
# Preserve logs
aviation_safety emergency preserve-logs --last-hours=24
3. Recovery:
# Restore from backup
aviation_safety emergency restore --backup=latest --verify
# Validate system
aviation_safety emergency validate --level=critical
# Gradual restart
aviation_safety emergency restart --phased
```
Issue 17: Security Incidents
```
Symptom: Unauthorized access, data breach, or tampering
Emergency Response:
1. Containment:
# Disconnect from network
aviation_safety security disconnect --network=all
# Freeze accounts
aviation_safety security freeze-accounts --all
# Preserve evidence
aviation_safety security preserve-evidence --output=/security_evidence
2. Investigation:
# Audit logs
aviation_safety security audit --start=$(date -d "24 hours ago" +%s)
# Check integrity
aviation_safety security verify-integrity --deep
# Identify compromise
aviation_safety security detect-tampering
3. Remediation:
# Rotate credentials
aviation_safety security rotate-credentials --all
# Patch vulnerabilities
aviation_safety security patch --critical
# Rebuild system
aviation_safety security rebuild --clean --verify
```
Diagnostic Tools Reference
Command Reference
```bash
# System diagnostics
aviation_safety diagnose --all
aviation_safety check-system --detailed
aviation_safety profile --duration=30 --output=profile.html
# Component checks
aviation_safety check-data --file=flight.csv --verbose
aviation_safety check-models --model-dir=/models
aviation_safety check-certification --level=B
# Performance monitoring
aviation_safety monitor --metrics=cpu,memory,gpu,latency --interval=1
aviation_safety benchmark --dataset=test_data.csv --iterations=100
# Debug tools
aviation_safety debug --component=model_predictor --level=verbose
aviation_safety trace --function=predict --input=sample.json
```
Log Analysis
```bash
# View logs
aviation_safety logs show --tail=100 --level=ERROR
aviation_safety logs analyze --input=/var/log/aviation.log --output=analysis.json
# Filter logs
aviation_safety logs filter --component=ccz_detector --time-range="last 1 hour"
aviation_safety logs search --pattern="MemoryError" --context=5
# Export for support
aviation_safety logs export --start="2025-12-28" --end="2025-12-29" --output=support_logs.zip
```
Configuration Debugging
```bash
# View current config
aviation_safety config show --all
aviation_safety config diff --default
# Test configuration
aviation_safety config test --file=config.yaml
aviation_safety config validate --strict
# Reset to defaults
aviation_safety config reset --component=data_processing
aviation_safety config restore-defaults --backup-first
```
Getting Help
Support Channels
```
Primary Support:
• Email: support@emeraldcompass.aero (response within 4 hours)
• GitHub Issues: https://github.com/emerladcompass/Aviation/issues
• Documentation: https://docs.emeraldcompass.aero
Emergency Support (Certified Users):
• Phone: +1-800-AVIATION-AI (24/7 for critical issues)
• Secure Portal: https://support.emeraldcompass.aero/emergency
Community Support:
• Discord: https://discord.gg/emeraldcompass
• Stack Overflow: #emerald-compass-aviation
• Research Forum: https://forum.emeraldcompass.aero
```
Information to Provide When Reporting Issues
```bash
# Generate support package
aviation_safety support-package --include=all --output=support_$(date +%Y%m%d).zip
# Package includes:
# 1. System information
# 2. Configuration files
# 3. Recent logs
# 4. Error messages
# 5. Model versions
# 6. Performance metrics
# Manual collection if command fails:
aviation_safety version > system_info.txt
aviation_safety config show --all > config_dump.yaml
tail -n 1000 /var/log/aviation_safety.log > recent_logs.log
python -c "import torch; print('CUDA:', torch.cuda.is_available())" > hardware.txt
```
Common Solutions Database
```
Search for known solutions:
aviation_safety knowledge search --error="CUDA out of memory"
aviation_safety knowledge solution --id=SOL-2025-001
View solution history:
aviation_safety knowledge history --issue="model_loading"
Contribute solutions:
aviation_safety knowledge contribute --title="Fix for memory leak" --solution="..."
```
Prevention and Best Practices
Regular Maintenance
```bash
# Daily checks
aviation_safety maintenance daily
# Weekly optimization
aviation_safety maintenance weekly --optimize
# Monthly verification
aviation_safety maintenance monthly --verify-certification
# Update schedule
aviation_safety maintenance schedule --create="0 2 * * *" # Daily 2 AM
```
Monitoring Setup
```bash
# Set up monitoring
aviation_safety monitor setup --alerts=cpu>80,memory>90,latency>100
# Dashboard
aviation_safety monitor dashboard --port=8080 --bind=0.0.0.0
# Alert configuration
aviation_safety monitor alerts --add="ccz_detection_failed" --threshold=5 --period=300
```
Backup Strategy
```bash
# Automated backups
aviation_safety backup setup --schedule="0 1 * * *" --retention=30
# Verify backups
aviation_safety backup verify --latest
# Recovery testing
aviation_safety backup test-recovery --backup=latest --dry-run
```
Version-Specific Issues
Version 2.0.x Issues
```
Known issues and workarounds:
1. Memory leak in CCZ detection (v2.0.0-2.0.3):
Workaround: Restart service daily or upgrade to v2.0.4
2. CUDA 12.x compatibility (v2.0.0-2.0.2):
Workaround: Use CUDA 11.8 or upgrade to v2.0.3+
3. Windows file locking (all v2.0.x):
Workaround: aviation_safety config set file_handle.sharing true
```
Migration from 1.x to 2.x
```bash
# Migration tool
aviation_safety migrate --from-version=1.4 --to-version=2.0
# Common migration issues:
# 1. Model format changed: Use conversion tool
# 2. API breaking changes: Check migration guide
# 3. Configuration deprecated: Run config migration
```
---
This troubleshooting guide is continuously updated. For latest solutions, run:
```bash
aviation_safety troubleshooting update
aviation_safety knowledge sync
```
Last Updated: 2025-12-28 | Version: Troubleshooting v2.1 | Document ID: TROUBLESHOOTING-2025-12
```