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import dash
import pandas
from dash import html, dash, Output, Input
from dash.exceptions import PreventUpdate
from dash_plot_generation.data_store import initialize_data, OWNER_RANGE_PARTS_SORTED, FULL_DATA
from dash_plot_generation.utils import get_average_user_rating_label, get_game_count_label, get_top_revenue_game_labels, \
get_total_revenue_label, get_top_genre_labels, get_ccu_label, get_average_game_rev_label
from dash_plot_generation.styles_and_handles import RATING_MIN_REVIEWS, RATING_SLIDER, RATING_TABLE, \
RATING_DISTRIBUTION_PLOT, DEV_AVERAGE_RATING_LABEL, DENSITY_LAYOUT_STYLE, WHITE_STEAM, TAB_COLOR, TAB_EDGE, \
TAB_HEADER_COLOR, DEVELOPER_DROPDOWN, DEV_TOP_GENRES_LABEL, DEV_CCU_LABEL, DEV_GAME_COUNT_LABEL, \
DEV_REV_PER_GAME_LABEL, DEV_REVENUE_LABEL, DEV_TOP_GAMES
from visual_presentation.Distribution_of_review_rating import get_rating_density_plot
APP = dash.Dash(
name=__name__,
use_pages=True,
external_stylesheets=['/assets/styles.css',
'https://codepen.io/chriddyp/pen/bWLwgP.css']
)
APP.layout = html.Div([
html.Nav(className="navbar", children=[
style={"margin-left": "60px", "display": "inline-block"},
className="nav-item-1"),
html.A('About', className="nav-item nav-link btn", href='/about',
style={"margin-left": "150px"},),
html.A('Dashboard', className="nav-item nav-link btn", href='/dashboard',
style={"margin-left": "150px"}),
html.A('Technical report', className="nav-item nav-link active btn",
href="", download='dark city.jpg', style={"margin-left": "150px"})
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]),
dash.page_container
], className="body")
@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"),
Output(DEV_AVERAGE_RATING_LABEL, "children")],
inputs=[Input(DEVELOPER_DROPDOWN, "value")])
def update_dev_info(dev_name):
global FULL_DATA, OWNER_RANGE_PARTS_SORTED
if not (dev_name and isinstance(FULL_DATA, pandas.DataFrame)):
raise PreventUpdate
# Remove empty rows
mask = FULL_DATA.developer.apply(lambda x: dev_name in x if isinstance(x, str) else False)
dev_data = FULL_DATA[mask]
# Top games
dev_top_games_label = get_top_revenue_game_labels(dev_data)
# Dev total revenue
dev_revenue = get_total_revenue_label(dev_data)
# Dev revenue per game
dev_game_revenue_per_game = get_average_game_rev_label(dev_data)
# Top genres
dev_top_genre_labels = get_top_genre_labels(dev_data)
# CCU
dev_ccu = get_ccu_label(dev_data)
# Game count
dev_game_count = get_game_count_label(dev_data)
user_rating_value = get_average_user_rating_label(dev_data)
return dev_revenue, dev_top_genre_labels, dev_ccu, dev_game_count, dev_game_revenue_per_game, dev_top_games_label, \
user_rating_value
@APP.callback(Output(RATING_DISTRIBUTION_PLOT, "figure"),
Output("Game pop bottom_region", 'children'),
Input(RATING_SLIDER, "value"),
Input(RATING_MIN_REVIEWS, "value"))
def update_density_filter_plot(rating_range, min_reviews):
allowed_indexes = [str_val for (val, str_val) in OWNER_RANGE_PARTS_SORTED[rating_range[0]:rating_range[1] + 1]]
allowed_ratings = [" .. ".join([val, allowed_indexes[i + 1]]) for (i, val) in enumerate(allowed_indexes)
if i < len(allowed_indexes) - 1]
output = get_rating_density_plot(FULL_DATA, allowed_ratings, min_reviews, layout=DENSITY_LAYOUT_STYLE)
table = html.Div(dash.dash_table.DataTable(output['top_games']['non_free'].to_dict('records'),
id=RATING_TABLE,
style_data={'backgroundColor': TAB_COLOR,
'color': WHITE_STEAM,
'border': '1px solid ' + TAB_EDGE},
style_header={'backgroundColor': TAB_HEADER_COLOR,
'color': WHITE_STEAM,
'border': '1px solid ' + TAB_EDGE}))
return output['fig'], [table]
if __name__ == "__main__":
initialize_data()
APP.run_server(debug=True, host="0.0.0.0")