Chicken Dinner¶

Python PUBG JSON API Wrapper and playback visualizer.

Samples¶

Installation¶

To install using pip:

pip install chicken-dinner

To be able to generate playback visualizations, use:

pip install chicken-dinner[visual]

To generate the animations you will also need ffmpeg installed on your machine. On Max OSX you can install ffmpeg using brew.

brew install ffmpeg

You can install ffmpeg on other systems from here.

Getting started¶

Working with the low-level API class.

from chicken_dinner.pubgapi import PUBGCore

api_key = "your_api_key"
pubgcore = PUBGCore(api_key, "pc-na")
shroud = pubgcore.players("player_names", "shroud")
print(shroud)

# {'data': [{'type': 'player', 'id': 'account.d50f...

Working with the high-level API class.

from chicken_dinner.pubgapi import PUBG

api_key = "your_api_key"
pubg = PUBG(api_key, "pc-na")
shroud = pubg.players_from_names("shroud")[0]
shroud_season = shroud.get_current_season()
squad_fpp_stats = shroud_season.game_mode_stats("squad", "fpp")
print(squad_fpp_stats)

# {'assists': 136, 'boosts': 313, 'dbnos': 550, 'daily_kills':...

Visualizing telemetry data

from chicken_dinner.pubgapi import PUBG

api_key = "your_api_key"
pubg = PUBG(api_key, "pc-na")
shroud = pubg.players_from_names("shroud")[0]
recent_match_id = shroud.match_ids[0]
recent_match = pubg.match(recent_match_id)
recent_match_telemetry = recent_match.get_telemetry()
recent_match_telemetry.playback_animation("recent_match.html")

Recommended playback settings:

telemetry.playback_animation(
    "match.html",
    zoom=True,
    labels=True,
    label_players=[],
    highlight_winner=True,
    label_highlights=True,
    size=6,
    end_frames=60,
    use_hi_res=False,
    color_teams=True,  # use True for teams, False for solos
    interpolate=True,
    damage=True,
    interval=2,
    fps=30,
)

Updating Assets¶

This package uses PUBG map images and a dictionary of asset names/ids for use with generating telemetry visualizations as well as naming values in telemetry events and objects.

To update the map images and asset dictionary, run the following commands.

python -m chicken_dinner.assets.maps
python -m chicken_dinner.assets.dictionary

Alternatively, use the CLI command:

chicken-dinner assets

Indices and tables¶

Index