feat: NCS-41 Bot Platform (#33)

Co-authored-by: Janis <janis@nowchess.de>
Reviewed-on: #33
Co-authored-by: Janis <janis.e.20@gmx.de>
Co-committed-by: Janis <janis.e.20@gmx.de>
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2026-04-19 15:52:08 +02:00
committed by Janis
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# NNUE Python Pipeline
Central CLI for training and exporting chess evaluation neural networks (NNUE).
## Directory Structure
```
python/
├── nnue.py # Main CLI entry point
├── src/ # Python modules
│ ├── generate.py # Generate random chess positions
│ ├── label.py # Label positions with Stockfish
│ ├── train.py # Train NNUE model
│ └── export.py # Export weights to Scala
├── data/ # Training data (gitignored)
│ ├── positions.txt
│ └── training_data.jsonl
└── weights/ # Model weights (gitignored)
├── nnue_weights_v1.pt
├── nnue_weights_v1_metadata.json
└── ...
```
## Quick Start
```bash
# Train a new model (500k positions, auto-detect checkpoint)
python nnue.py train
# Train from specific checkpoint
python nnue.py train --from-checkpoint 2
# Train with custom games count
python nnue.py train --games 200000
# Train with custom positions file
python nnue.py train --positions-file my_positions.txt
# Export specific version to Scala
python nnue.py export 2
# List all checkpoints
python nnue.py list
```
## CLI Commands
### `train` - Train NNUE model
```bash
python nnue.py train [OPTIONS]
```
**Options:**
- `--from-checkpoint N` - Resume from checkpoint version N (default: uses latest)
- `--games N` - Number of games to generate (default: 500000)
- `--positions-file FILE` - Use existing positions file instead of generating
- `--stockfish PATH` - Path to Stockfish binary (default: `$STOCKFISH_PATH` or `/usr/games/stockfish`)
**Examples:**
```bash
# Train with latest checkpoint
python nnue.py train
# Train from v2 with 100k games
python nnue.py train --from-checkpoint 2 --games 100000
# Train with custom positions
python nnue.py train --positions-file my_games.txt --stockfish /opt/stockfish/sf15
```
### `export` - Export weights to Scala
```bash
python nnue.py export WEIGHTS [output_path]
```
**Arguments:**
- `WEIGHTS` - Version number (e.g., `2`) or full filename (e.g., `nnue_weights_v2.pt`)
**Examples:**
```bash
# Export version 2
python nnue.py export 2
# Export with full filename
python nnue.py export nnue_weights_v3.pt
```
Output goes to `../src/main/scala/de/nowchess/bot/bots/nnue/NNUEWeights_vN.scala`
### `list` - List available checkpoints
```bash
python nnue.py list
```
Shows all available model versions with file sizes.
## Data Flow
1. **Generate**`data/positions.txt`
- Random chess positions from 8-20 move openings
- Filters out checks, game-over states, and captures
2. **Label**`data/training_data.jsonl`
- Evaluates each position with Stockfish at depth 12
- Stores FEN + evaluation in JSONL format
3. **Train**`weights/nnue_weights_vN.pt`
- Trains neural network on labeled positions
- Auto-versioning (v1, v2, v3, etc.)
- Saves metadata alongside weights
4. **Export**`NNUEWeights_vN.scala`
- Converts weights to Scala object
- Ready for integration into bot
## Versioning
- Models are automatically versioned (v1, v2, v3, etc.)
- Each version gets a `_metadata.json` file with training info
- Training from checkpoint uses latest version unless specified with `--from-checkpoint`
## Files
- `data/` and `weights/` are gitignored (local artifacts)
- Documentation in `docs/` explains training, debugging, and incremental improvements
- Source modules in `src/` are independent and can be imported for custom workflows