import math
import os
import numpy
import pandas
from dash import dash, dcc, html, Output, Input
from collections import Counter
from dash_plot_generation.utils import split_companies, extract_unique_companies, convert_owners_to_limits, \
get_owner_means
DEVELOPER_DROPDOWN = "developer_dropdown"
DEV_TOP_GENRES_LABEL = "dev_top_genres"
DEV_CCU_LABEL = "dev_ccu"
DEV_GAME_COUNT_LABEL = "dev_game_count"
DEV_REV_PER_GAME_LABEL = "dev_rev_per_game"
DEV_REVENUE_LABEL = "dev_revenue"
DEV_TOP_GAMES = "dev_top_games"
csv_path = os.path.normpath(os.getcwd() + os.sep + os.pardir + os.sep + "api_exploration")
split_csv_path = os.path.join(csv_path, "file_segments")
df = None
DASH_ASSETS_PATH = "dash_assets"
APP = dash.Dash(
name=__name__,
assets_folder=DASH_ASSETS_PATH,
external_stylesheets=['https://codepen.io/chriddyp/pen/bWLwgP.css']
)
def initialize_data():
global df
files = os.listdir(split_csv_path)
dataframe = None
for file in os.listdir(split_csv_path):
file_path = os.path.join(split_csv_path, file)
dataframe = pandas.concat([dataframe, pandas.read_csv(file_path)]) if dataframe is not None \
else pandas.read_csv(file_path)
df = dataframe
@APP.callback([Output(DEV_REVENUE_LABEL, "children"),
Output(DEV_TOP_GENRES_LABEL, "children"),
Output(DEV_CCU_LABEL, "children"),
Output(DEV_GAME_COUNT_LABEL, "children"),
Output(DEV_REV_PER_GAME_LABEL, "children"),
Output(DEV_TOP_GAMES, "children")],
inputs=[Input(DEVELOPER_DROPDOWN, "value")])
def update_dev_info(dev_name):
global df
mask = df.developer.apply(lambda x: dev_name in x if isinstance(x, str) else False)
dev_data = df[mask]
ccu = sum(dev_data["ccu"])
dev_data["owner_means"] = dev_data["owners"].apply(lambda x: get_owner_means(convert_owners_to_limits(x)))
dev_data["game_prices"] = dev_data["price"]
dev_data["game_revenue"] = pandas.Series([owner_count * game_price for (owner_count, game_price) in
zip(dev_data["owner_means"], dev_data["game_prices"]) if
not (pandas.isna(game_price) or pandas.isna(owner_count))])
genre_totals = [genre for genre_list in dev_data["genres"] if isinstance(genre_list, str)
for genre in genre_list.split(", ")]
genre_counts = Counter(genre_totals).most_common(3)
top_games = dev_data.sort_values(by=["game_revenue"], ascending=False)["name"].head(3)
# top_genres = dict(sorted(genre_totals.items(), key=lambda x: x[1], reverse=True)[:4])
return str(numpy.nansum(dev_data["game_revenue"])), \
", ".join([genre_c[0] for genre_c in genre_counts]), \
str(ccu), \
str(dev_data.shape[0]), \
str(round(numpy.nansum(dev_data["game_revenue"]) / len(dev_data["game_revenue"]))), \
"\n".join(top_games)
def initialize_dash(host: str = "0.0.0.0", **kwargs):
"""
Runs the Dash server.
Args:
host: IP address of the server
kwargs: Variables which are passed down to APP.run function as named arguments.
Note:
The server IP is not actually 0.0.0.0; if the dash app is not accessible via this address, use the same port
number but replace the IP address with your local network IP instead.
"""
global APP, df
# unique_publishers = extract_unique_companies(df["publisher"].apply(lambda x: split_companies(x)))
# unique_developers = extract_unique_companies(df["developer"].apply(lambda x: split_companies(x)))
unique_publishers = ["Valve"]
unique_developers = ["Valve"]
APP.layout = html.Div(
children=[
html.Div(
# style={'background-image': 'url("/assets/background_image.jpg")',
style={'background-image': 'url("/assets/dark city.jpg")',
'background-size': 'cover',
'background-repeat': 'no-repeat',
'background-position': 'center',
'height': '100vh', # Adjust this to set the desired height
'filter': 'blur(5px)', # Adjust the blur intensity as needed,
'position': 'absolute', # Position the background div absolutely
'width': '100%', # Make the background div cover the entire width
'z-index': '-1' # Place the background div behind other content
},
),
html.Nav(className="nav nav-pills", children=[
html.H6("STEAM-SAVVY", style={"margin-left": "30px", "width": "20%", "display": "inline-block"}),
html.A('About', className="nav-item nav-link btn", href='/apps/App1',
style={"margin-left": "300px"}),
html.A('Technical report', className="nav-item nav-link active btn", href='/apps/App2',
style={"margin-left": "150px"})
],
style={"background-color": "rgb(30,30,30)", "color": "rgb(255,255,255)"}),
html.Div(className="row", children=[
html.Div(children=[
dcc.Tabs(id="tabs_main_plots1", value="tab1", children=[
dcc.Tab(label="Genre performance", value="tab1"),
dcc.Tab(label="Game popularity", value="tab2"),
dcc.Tab(label="Company revenues", value="tab3"),
dcc.Tab(label="Market performance", value="tab4"),
],
style={'width': 'auto', 'display': 'flex', 'padding': '10px', "outline": "2px dotted black"}),
], style={'width': 'calc(50% - 10px)', 'height': '600px', 'display': 'inline-block', 'outline': '2px dotted black',
'background-color': 'rgba(169, 169, 169, 0.5)', 'color': 'black', 'margin-right': '200px'}),
html.Div(children=[
dcc.Tabs(id="tabs_main_plots2", value="tab3", children=[
dcc.Tab(label="Developer infromation", value="tab3", children=[
html.Div(children=[
dcc.Dropdown(id=DEVELOPER_DROPDOWN, value="Valve",
options=[{"label": developer, "value": developer} for developer in
unique_developers]
),
html.Div(children=[
html.H6("General statistics"),
html.Div( # Revenue
children=[html.P("Revenue"),
html.Div(children=[
html.P("Total game sale revenue"),
html.Small(id=DEV_REVENUE_LABEL, children="524.245.000€"),
html.P("Total game sale revenue per game"),
html.Small(id=DEV_REV_PER_GAME_LABEL, children="92.625.000€"),
html.P("Highest game sale revenue games:"),
html.Small(id=DEV_TOP_GAMES, children="Half life 2"),
])
],
style={'width': '48%', 'height': '100%', 'float': 'left', 'outline': '2px dotted black'}
),
html.Div(children=[
html.Div(children=[
html.P("Number of games", style={"margin-top": "0"}),
html.Small(id=DEV_GAME_COUNT_LABEL, children="5"),
html.P("Number of concurrent users"),
html.Small(id=DEV_CCU_LABEL, children="92.625.000€"),
html.P("Most common game genres"),
html.Small(id=DEV_TOP_GENRES_LABEL, children="FPS, Action, Puzzle"),
html.P("Average game rating"),
])
], style={'width': '48%', 'height': '100%', 'float': 'left', 'outline': '2px dotted black'}
)
])
], style={'margin-left': '20px', 'margin-right': '20px'}
)
]),
dcc.Tab(label="Publisher information", value="tab4", children=[
dcc.Dropdown(id="publisher_dropdown", value="Valve",
options=[{"label": publisher, "value": publisher} for publisher in
unique_publishers]
),
])
],
style={'width': 'auto', 'display': 'flex', 'padding': '10px', 'outline': '2px dotted black'}),
],
style={'width': 'calc(30% - 10px)', 'height': '600px', 'display': 'inline-block',
'outline': '2px dotted black',
'background-color': 'rgba(169, 169, 169, 0.5)', 'color': 'black'})
],
style={'width': '100%', "padding-top": "15px", 'padding-left': "50px"}),
]
)
APP.run(host=host, **kwargs)
print("The server has closed!")
if __name__ == "__main__":
initialize_data()
initialize_dash(debug=True)
print(csv_path)