# Output Directory Refactoring - Implementation Status

## Completed

### 1. Created `OutputManager` class
- **File**: `scheduler/utils/output_manager.py`
- **Features**:
  - Single run directory with timestamp-based ID
  - Clean hierarchy: `eda/` `training/` `simulation/` `reports/`
  - Property-based access to all output paths
  - Config saved to run root for reproducibility

### 2. Integrated into Pipeline
- **File**: `court_scheduler_rl.py`
- **Changes**:
  - `PipelineConfig` no longer has `output_dir` field
  - `InteractivePipeline` uses `OutputManager` instance
  - All `self.output_dir` references replaced with `self.output.{property}`
  - Pipeline compiles successfully

## Completed Tasks

### 1. Remove Duplicate Model Saving (DONE)
- Removed duplicate model save in court_scheduler_rl.py
- Implemented `OutputManager.create_model_symlink()` method
- Model saved once to `outputs/runs/{run_id}/training/agent.pkl`
- Symlink created at `models/latest.pkl`

### 2. Update EDA Output Paths (DONE)
- Modified `src/eda_config.py` with:
  - `set_output_paths()` function to configure from OutputManager
  - Private getter functions (`_get_run_dir()`, `_get_params_dir()`, etc.)
  - Fallback to legacy paths when running standalone
- Updated all EDA modules (eda_load_clean.py, eda_exploration.py, eda_parameters.py)
- Pipeline calls `set_output_paths()` before running EDA steps
- EDA outputs now write to `outputs/runs/{run_id}/eda/`

### 3. Fix Import Errors (DONE)
- Fixed syntax errors in EDA imports (removed parentheses from function names)
- All modules compile without errors

### 4. Test End-to-End (DONE)
```bash
uv run python court_scheduler_rl.py quick
```

**Status**: SUCCESS (Exit code: 0)
- All outputs in `outputs/runs/run_20251126_055943/`
- No scattered files
- Models symlinked correctly at `models/latest.pkl`
- Pipeline runs without errors
- Clean directory structure verified with `tree` command

## New Directory Structure

```
outputs/
└── runs/
    └── run_20251126_123456/
        ├── config.json
        ├── eda/
        │   ├── figures/
        │   ├── params/
        │   └── data/
        ├── training/
        │   ├── cases.csv
        │   ├── agent.pkl
        │   └── stats.json
        ├── simulation/
        │   ├── readiness/
        │   └── rl/
        └── reports/
            ├── EXECUTIVE_SUMMARY.md
            ├── COMPARISON_REPORT.md
            └── visualizations/

models/
└── latest.pkl -> ../outputs/runs/run_20251126_123456/training/agent.pkl
```

## Benefits Achieved

1. **Single source of truth**: All run artifacts in one directory
2. **Reproducibility**: Config saved with outputs
3. **No duplication**: Files written once, not copied
4. **Clear hierarchy**: Logical organization by pipeline phase
5. **Easy cleanup**: Delete entire run directory
6. **Version control**: Run IDs sortable by timestamp