import numpy
import dash
from dash import html, dcc
from plotly import graph_objects as go
from dash_plot_generation.styles_and_handles import RATING_MIN_REVIEWS, RATING_SLIDER, MAIN_PANEL_TAB_DICT, \
DEV_AVERAGE_RATING_LABEL, \
DEFAULT_PLOT_STYLE_DICT, WHITE_STEAM, TAB_COLOR, TAB_EDGE, DEFAULT_TABS_DICT, DEVELOPER_DROPDOWN, TAB_NORMAL_DICT, \
TAB_HIGHLIGHT_DICT, PANEL_DEFAULT_DICT, SMALL_PANEL_DICT, SMALL_TAB_PANEL_DICT, SMALL_PANEL_HEADER_DICT, \
DEV_TOP_GENRES_LABEL, LIST_DICT, NORMAL_DIVISION_DICT, DEV_CCU_LABEL, DEV_GAME_COUNT_LABEL, DEV_REV_PER_GAME_LABEL, \
DEV_REVENUE_LABEL, DEV_TOP_GAMES, RATING_TABS, RATING_TABS_OUTPUT_AREA, GENRE_DROPDOWN, GENRE_PREDICTION_GRAPH, \
GAMES_BY_DEV_GRAPH
from dash_plot_generation.data_store import FULL_DATA, OWNER_RANGE_PARTS_SORTED
from dash_plot_generation.utils import get_all_genres, extract_unique_companies, split_companies, \
get_genre_popularity_counts
global APP, FULL_DATA
unique_publishers = extract_unique_companies(FULL_DATA["publisher"].apply(lambda x: split_companies(x)))
unique_developers = extract_unique_companies(FULL_DATA["developer"].apply(lambda x: split_companies(x)))
# unique_publishers = ["Valve"]
# unique_developers = ["Valve"]
# Genre performance table_values
genre_owners, genre_revenue = get_genre_popularity_counts(FULL_DATA, 6)
# genre_owners = {key: val for (key, val) in
# zip(["Action", "Adventure", "RPG", "Puzzle", "Strategy", "Other"],
# [0.7, 0.5, 0.1, 0.4, 0.3, 0.7])}
# genre_revenue = {key: val for (key, val) in
# zip(["Action", "Adventure", "RPG", "Puzzle", "Strategy", "Other"],
# [0.5, 0.4, 0.3, 0.4, 0.6, 0.7])}
unique_genres = get_all_genres(FULL_DATA)
# Game popularity filter values
max_reviews = numpy.nanmax(FULL_DATA.apply(lambda x: x["positive"] + x["negative"], axis=1))
owner_range_dict = {index: val_str for (index, (val, val_str)) in enumerate(OWNER_RANGE_PARTS_SORTED)}
min_owner = min(owner_range_dict.keys())
max_owner = max(owner_range_dict.keys())
layout = html.Div(
children=[
html.Div(className="row", children=[
html.Div(children=[
dcc.Tabs(id="main_plots", value="tab1", children=[
dcc.Tab(label="Genre performance", value="tab1",
style=TAB_NORMAL_DICT, selected_style=TAB_HIGHLIGHT_DICT,
children=[
html.Div(children=[
html.Div(
children=[
html.Div(style=NORMAL_DIVISION_DICT,
children=[dcc.Graph(
figure=go.Figure(data=[
{'x': ["Action", "Adventure", "RPG", "Puzzle",
"Strategy"],
'y': [0.7, 0.4, 0.8, 1.2, 1.3],
'type': 'bar'},
],
layout=DEFAULT_PLOT_STYLE_DICT |
dict(title="Relative genre perfomance")
),
),
html.P(f"""Genre performance measures the assessed
exploitability of the specific game genre. The assessment
is done by estimating the genre popularity, and games
developed in the next two years and showing the relative
differences between the genres.""")]),
html.Div(style=SMALL_PANEL_DICT | {'width': '35%', 'height': '100%',
'background-color': TAB_COLOR},
children=[
html.Div(children=[
html.Div(style={'width': '100%', 'height': '50%'},
children=[dcc.Graph(
figure=go.Figure(data=[go.Pie(
labels=list(genre_owners.keys()),
values=list(genre_owners.values()),
sort=False)],
layout=DEFAULT_PLOT_STYLE_DICT |
dict(title="Genre popularity",
margin=dict(l=20, r=20,
t=50, b=20))),
style={'width': '100%',
'height': '100%'})]),
html.Div(style={'width': '100%', 'height': '50%'},
children=[dcc.Graph(
figure=go.Figure(data=[go.Pie(
labels=list(genre_revenue.keys()),
values=list(genre_revenue.values()),
sort=False)],
layout=DEFAULT_PLOT_STYLE_DICT |
dict(
title="Genre revenue share",
margin=dict(l=20, r=20,
t=50, b=20))),
style={'width': '100%',
'height': '100%'})]
)
], style={'height': '540px'}
),
]
)
]
),
html.Div(children=[
html.H5("Genre prediction", style={'margin-bottom': '50px'}),
html.Div(children=[
html.Div(children=[
html.P("Selected genre:", style={'margin-bottom': '10px'}),
dcc.Dropdown(id=GENRE_DROPDOWN, value="Action",
options=[{"label": html.Span([genre],
style={
'color': WHITE_STEAM}),
"value": genre} for genre in
unique_genres],
style={'color': WHITE_STEAM, 'display': 'inline-block',
'width': '50%'},
className='dash-dropdown',
),
],
style={'width': '100%', 'margin-bottom': '50px'})
]),
dcc.Graph(id=GENRE_PREDICTION_GRAPH, figure=go.Figure(layout=DEFAULT_PLOT_STYLE_DICT |
dict(title="Genre prediction plot",
margin=dict(l=20, r=20,
t=50, b=20)))),
html.P("""This is an individual regression estimate for the genre that represents
the estimated amount of games to be produced in the next two years""")
], style=NORMAL_DIVISION_DICT | {'width': '90%'})
],
style=MAIN_PANEL_TAB_DICT,
className="scrollable")
]),
dcc.Tab(label="Free vs Non-free analysis", value="tab2",
style=TAB_NORMAL_DICT, selected_style=TAB_HIGHLIGHT_DICT,
children=[
html.Div(id="Game pop general layout",
style=MAIN_PANEL_TAB_DICT,
className="scrollable",
children=[
html.Div(id="Game pop top div",
children=[
html.Div(children=[html.P("""The free to play market has taken the
video game market by storm. It is, however, not clear
which games in each category are performing the best in terms
of user rating. This section contains tools to analyze the
distribution of user ratings for both free and non-free games
based on the game amount of owners the games have and on a
minimum review amount criteria.""",
className="text-note-text")],
className='text-note-div'),
html.Div(id="game popularity filters",
style=NORMAL_DIVISION_DICT | {'width': '100%',
'height': '100%',
'margin_left': '0px',
'margin_right': '0px',
'background-color': TAB_COLOR,
'margin-bottom': '10px'},
children=[
html.P("Filters"),
html.Small("Number of game owners"),
dcc.RangeSlider(id=RATING_SLIDER,
min=min_owner, max=max_owner,
marks=owner_range_dict,
step=None,
value=[min_owner,
max_owner]),
html.Small("Minimum amount of reviews"
, style={'vertical-align': 'middle'}),
dcc.Input(id=RATING_MIN_REVIEWS,
type="number", min=1,
max=max_reviews, step=1, value=10,
style={'background-color': TAB_COLOR,
'color': WHITE_STEAM,
'border': '2px solid ' + WHITE_STEAM,
'width': '80px',
'height': '20px',
'vertical-align': 'middle',
'margin-left': '10px',
'padding-right': '2px',
'padding-left': '5px'})
]
),
]
),
html.Div(id="Game pop bottom_region",
style=NORMAL_DIVISION_DICT | {'width': '90%'},
children=[
dcc.Tabs(
id=RATING_TABS,
value="plot",
style=DEFAULT_TABS_DICT,
children=[
dcc.Tab(value="plot",
label="Distribution figure",
style=TAB_NORMAL_DICT,
selected_style=TAB_HIGHLIGHT_DICT | {
'background-color': 'rgb(50, 70, 101)'}),
dcc.Tab(label="Top non-free games",
value="non-free",
style=TAB_NORMAL_DICT,
selected_style=TAB_HIGHLIGHT_DICT | {
'background-color': 'rgb(50, 70, 101)'}),
dcc.Tab(label="Top free games",
value="free",
style=TAB_NORMAL_DICT,
selected_style=TAB_HIGHLIGHT_DICT | {
'background-color': 'rgb(50, 70, 101)'})
]
),
html.Div(className="scrollable div-with_scroll",
children=[html.Div(id=RATING_TABS_OUTPUT_AREA)])
])
]
),
]
),
dcc.Tab(label="Market performance", value="tab4",
style=TAB_NORMAL_DICT, selected_style=TAB_HIGHLIGHT_DICT),
],
style=DEFAULT_TABS_DICT),
], style=PANEL_DEFAULT_DICT | {'width': '900px',
'margin-right': '100px', 'padding-left': '50px',
'padding-right': '50px', 'padding-bottom': '50px',
'padding-top': '50px', 'margin-bottom': '50px'
}),
html.Div(children=[
dcc.Tabs(id="company_information", value="tab3", children=[
dcc.Tab(label="Developer infromation", value="tab3", children=[
html.Div(children=[
dcc.Dropdown(id=DEVELOPER_DROPDOWN, value="Valve",
options=[{"label": html.Span([developer], style={'color': WHITE_STEAM}),
"value": developer} for developer in unique_developers],
style={'margin-top': '20px', 'color': WHITE_STEAM},
className='dash-dropdown',
),
html.Div(children=[
html.Div(
children=[
html.Div(
children=[html.P("Revenue", style=SMALL_PANEL_HEADER_DICT)],
style={'margin-bottom': '10px',
'border-bottom': '2px solid ' + TAB_EDGE}),
html.Div(children=[
html.Div(children=[
html.P("Game sale revenue estimates"),
html.Div(children=[
html.Div(children=[
html.P(id=DEV_REVENUE_LABEL, children="$524 M",
style=LIST_DICT | {'padding-left': '5%'})
]),
html.Div(children=[
html.P(id=DEV_REV_PER_GAME_LABEL, children="$925 M",
style=LIST_DICT | {'padding-left': '5%'})
]),
],
style={'margin-bottom': '20px'}),
html.Div(children=[
html.P("Top games by revenue:"),
html.Small(id=DEV_TOP_GAMES, children="Half life 2"),
])
]),
])
],
style=SMALL_TAB_PANEL_DICT | {'margin-right': '20px', 'margin-left': '0px',
'margin-bottom': '0px', 'height':'100%'}
),
html.Div(children=[
html.Div(
children=[
html.Div(
children=[html.P("General information",
style=SMALL_PANEL_HEADER_DICT)],
style={'margin-bottom': '10px',
'border-bottom': '2px solid ' + TAB_EDGE}),
html.Div(children=[
html.Div(children=[
html.P(id=DEV_GAME_COUNT_LABEL, children="5",
style=LIST_DICT),
],
style={'margin-bottom': '10px'}
),
html.Div(children=[
html.P(id=DEV_CCU_LABEL, children="",
style=LIST_DICT),
],
style={'margin-bottom': '10px'}
),
html.Div(children=[
html.P("Popular game genres:"),
html.Small(id=DEV_TOP_GENRES_LABEL,
children="FPS, Action, Puzzle"),
],
style={'margin-bottom': '10px'}
),
html.Div(children=[
html.P(id=DEV_AVERAGE_RATING_LABEL,
children="",
style=LIST_DICT)
])
])
])
], style=SMALL_TAB_PANEL_DICT | {'width': '45%', 'height': '100%',
'margin-right': '0px', 'margin-left': '20px'}
)
], style={'height': '300px', 'overflow':'auto', 'margin-bottom':'20px'},
),
html.Div(
children=[dcc.Graph(id=GAMES_BY_DEV_GRAPH, style=DEFAULT_PLOT_STYLE_DICT | {'height': '250px', 'width': '100%'})
]
)
],
style={'margin-left': '0px', 'margin-right': '0px'},
className="scrollable"
)
], style=TAB_NORMAL_DICT, selected_style=TAB_HIGHLIGHT_DICT),
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=TAB_NORMAL_DICT, selected_style=TAB_HIGHLIGHT_DICT)
],
style=DEFAULT_TABS_DICT),
],
style=PANEL_DEFAULT_DICT | {'width': '700px',
'padding-left': '50px',
'padding-right': '50px', 'padding-bottom': '50px',
'padding-top': '50px', 'margin-bottom': '50px'
})
],
style={'width': '100%', "padding-top": "30px", 'padding-left': "50px"}),
],
style={"font-family": "Tahoma"},
className="body"
)
dash.register_page(
__name__,
title="Dashboard",
description="Main dashboard",
path="/dashboard",
)