# Converter Implementation Status

## Summary
- **Total Problems Available**: 227 problem types
- **Converters Implemented**: 227 (100% complete)
- **Total Instances**: 2700+
- **JSON Conversion**: Completed for all DZN files

## Converter Implementation Complete ✅

All 227 problem types in the `problem_filtered/` directory now have implemented converters. Each converter:
- Implements `build_graph(mzn_file, json_data)` function
- Returns a NetworkX graph following the schema
- Captures problem-specific semantic structure
- Supports feature extraction pipeline

## Complete Problem List

All 227 problem types have converters implemented. The collection includes diverse constraint problem domains such as:
- Scheduling problems (jobshop, fjsp, handball, bus_scheduling)
- Routing problems (cvrp, atsp, depot_placement) 
- Packing problems (cargo_coarsePiles, rect-packing, cutstock)
- Graph problems (graph-scan-revised, community-detection, dcmst)
- Puzzles (sudoku, kakuro, hitori, fillomino)
- Optimization problems (mknapsack, filter, fastfood)
- And many more specialized domains

## Testing

All converters pass validation checks:
- Graph schema compliance (node/edge attributes)
- Weight ranges [0,1]
- JSON input handling
- Feature extraction compatibility

Run tests with:
```bash
# Test single converter
uv run python test_converter.py problem_filtered/ProblemName instance.dzn

# Test with feature extraction
uv run python extract_features_direct.py problem_filtered/ProblemName instance.dzn
```

## Next Steps

1. Prioritize high-value problems for converter implementation
2. Focus on problems with many instances
3. Consider problem diversity (different constraint types)
4. Implement converters for competition benchmarks

## Contributing

To add a new converter:
1. Read `subagent_prompt.md` for detailed instructions
2. Create `problem_filtered/YourProblem/converter.py`
3. Implement `build_graph(mzn_file, json_data)` function
4. Test with JSON input (mandatory)
5. Validate with `test_converter.py`

## Data Flow

```
DZN files → JSON (via dzn_to_json.py) → Converter → NetworkX Graph → Features
```

All converters use JSON exclusively - no DZN parsing in converters.