carball 0.5.1

Rocket League replay parsing and analysis.

# carball
Various tools for decompiling / analyzing Rocket League replays.

## Requirements

- Python 3.5+
- Windows, Mac or Linux

## Install

`pip install carball`

## Examples / Usage

Decompile and analyze a replay:
```Python
import carball

manager = carball.analyze_replay_file('9EB5E5814D73F55B51A1BD9664D4CBF3.replay',
'9EB5E5814D73F55B51A1BD9664D4CBF3.json',
overwrite=True)
proto_game = manager.get_protobuf_data()

```

Just decompile a replay to a JSON object:

```Python
import carball

_json = carball.decompile_replay('9EB5E5814D73F55B51A1BD9664D4CBF3.replay',
'9EB5E5814D73F55B51A1BD9664D4CBF3.json',
overwrite=True)
```

Analyze a JSON game object:
```Python
import carball
import os
import gzip
from carball.json_parser.game import Game
from carball.analysis.analysis_manager import AnalysisManager
# _json is a JSON game object (from decompile_replay)
game = Game()
game.initialize(loaded_json=_json)

analysis = AnalysisManager(game)
analysis.create_analysis()

# write proto out to a file
# read api/*.proto for info on the object properties
with open(os.path.join('output.pts'), 'wb') as fo:
analysis.write_proto_out_to_file(fo)

# write pandas dataframe out as a gzipped numpy array
with gzip.open(os.path.join('output.gzip'), 'wb') as fo:
analysis.write_pandas_out_to_file(fo)
```


## Pipeline

If you want to add a new stat it is best to do it in the advanced stats section of the pipeline.
You should look at:

[Stat base classes](carball/analysis/stats/stats.py)

[Where you add a new stat](carball/analysis/stats/stats_list.py)

If you want to see the output format of the stats created you can look [here](api)

Compile the proto files by running in this directory
`setup.bat` (Windows) or `setup.sh` (Linux/mac)

[](https://travis-ci.org/SaltieRL/carball)
[](https://codecov.io/gh/SaltieRL/carball)