Rocket League replay parsing and analysis.
Project description
# carball
Various tools for decompiling / analyzing Rocket League replays.
## Requirements
- Python 3.6+
- 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',
output_path='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',
output_path='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)
Various tools for decompiling / analyzing Rocket League replays.
## Requirements
- Python 3.6+
- 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',
output_path='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',
output_path='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)
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