import math
import os
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"
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")],
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"]
game_revenue = [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]
genre_counts = Counter(genre_totals).keys()
return str(sum(game_revenue)), "hello2", str(ccu), str(dev_data.shape[0]), str(round(sum(game_revenue)/len(game_revenue))
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.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': '80%', 'display': 'inline-block', "outline": "2px dot'ted black"}),
], style={'width': '60%', 'display': 'inline-block'}),
html.Div(children=[
dcc.Tabs(id="tabs_main_plots2", value="tab3", children=[
dcc.Tab(label="Developer infromation", value="Valve", 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("Half life 2"),
html.Small("CS GO"),
html.Small("Portal 2")
])
],
style={'width': '48%', 'display': 'inline-block'}
),
html.Div(children=[
html.Div(children=[
html.P("Number of games"),
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%', 'display': 'inline-block'}
)
])
],
)
]),
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': '100%', 'display': 'inline-block'}),
],
style={'width': '30%', 'display': 'inline-block', "outline": "2px dotted black"})
],
style={'width': '100%', "padding-top": "15px"}),
])
APP.run(host=host, **kwargs)
print("The server has closed!")
if __name__ == "__main__":
initialize_data()
initialize_dash(debug=True)
print(csv_path)