hackathon_code4change / docs /OUTPUT_REFACTORING.md
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feat: Implement OutputManager for clean output directory structure
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# 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/
β”œβ”€β”€ config.json
β”œβ”€β”€ eda/
β”‚ β”œβ”€β”€ figures/
β”‚ β”œβ”€β”€ params/
β”‚ └── data/
β”œβ”€β”€ training/
β”‚ β”œβ”€β”€ cases.csv
β”‚ β”œβ”€β”€ agent.pkl
β”‚ └── stats.json
β”œβ”€β”€ simulation/
β”‚ β”œβ”€β”€ readiness/
β”‚ └── rl/
└── reports/
β”œβ”€β”€ EXECUTIVE_SUMMARY.md
β”œβ”€β”€ 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