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MIGRATION_SUMMARY.md

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Configuration Migration Summary

✅ Completed: Configuration System Migration

Date: December 26, 2025

What Changed

All hardcoded configuration values have been moved from palefire-cli.py to a centralized config.py module. Configuration is now managed through environment variables with sensible defaults.

New Files

  1. config.py - Centralized configuration module

    • Loads settings from environment variables
    • Provides defaults for all values
    • Validates configuration on import
    • Helper functions for accessing config

  2. env.example - Configuration template

    • Copy to .env and customize
    • Documents all available settings
    • Includes descriptions and defaults

  3. CONFIGURATION.md - Complete configuration guide

    • All environment variables documented
    • Setup instructions
    • Best practices
    • Troubleshooting

  4. CHANGELOG_CONFIG.md - Detailed migration log

    • All changes documented
    • Migration guide
    • Testing results

Quick Start

# 1. Copy example configuration
cp env.example .env

# 2. Edit with your settings
nano .env

# 3. Verify configuration
python palefire-cli.py config

# 4. Test
python palefire-cli.py query "Test question?"

Key Configuration Values

Required

  • NEO4J_URI - Neo4j connection URI
  • NEO4J_USER - Neo4j username
  • NEO4J_PASSWORD - Neo4j password
  • OPENAI_API_KEY - API key (can be placeholder for Ollama)

Optional (with defaults)

  • LLM_PROVIDER=ollama - LLM provider
  • OLLAMA_BASE_URL=http://10.147.18.253:11434/v1 - Ollama endpoint
  • OLLAMA_MODEL=deepseek-r1:7b - LLM model
  • DEFAULT_SEARCH_METHOD=question-aware - Search method
  • SEARCH_RESULT_LIMIT=20 - Results before reranking
  • SEARCH_TOP_K=5 - Final results to return
  • WEIGHT_CONNECTION=0.15 - Connection weight
  • WEIGHT_TEMPORAL=0.20 - Temporal weight
  • WEIGHT_QUERY_MATCH=0.20 - Query match weight
  • WEIGHT_ENTITY_TYPE=0.15 - Entity type weight

View Configuration

python palefire-cli.py config

Output:

================================================================================
⚙️  PALE FIRE CONFIGURATION
================================================================================
Neo4j URI: bolt://10.147.18.253:7687
Neo4j User: neo4j
LLM Provider: ollama
LLM Model: deepseek-r1:7b
LLM Base URL: http://10.147.18.253:11434/v1
Embedder Provider: ollama
Embedder Model: nomic-embed-text
Embedder Dimensions: 768

Search Configuration:
  Default Method: question-aware
  Result Limit: 20
  Top K: 5

Ranking Weights:
  Connection: 0.15
  Temporal: 0.2
  Query Match: 0.2
  Entity Type: 0.15
  Semantic: 0.30

NER Configuration:
  Enabled: True
  Use spaCy: True
  spaCy Model: en_core_web_sm
================================================================================

Benefits

✅ Maintainability - All config in one place
✅ Flexibility - Environment-specific settings
✅ Validation - Automatic validation on startup
✅ Documentation - Self-documenting with examples
✅ Best Practices - Follows 12-factor app methodology

Backward Compatibility

✅ No Breaking Changes - All defaults match previous hardcoded values
✅ CLI Unchanged - All commands work exactly the same
✅ Function Signatures - Backward compatible with optional parameters

Testing

All tests passed:

  • ✅ Configuration loads correctly
  • ✅ Files compile without errors
  • ✅ CLI commands work
  • ✅ Config display shows correct values

Documentation

Next Steps

  1. Copy env.example to .env
  2. Customize settings for your environment
  3. Run python palefire-cli.py config to verify
  4. Continue using Pale Fire as before!

Support

For configuration issues:

  1. Check CONFIGURATION.md
  2. Verify .env file exists
  3. Run python palefire-cli.py config
  4. Check logs for validation errors

Configuration System v1.0 - Ready to use! 🚀