import numpy
import dash
from dash import html, dcc
from plotly import graph_objects as go
import dash_plot_generation.data_store as ds
from dash_plot_generation.styles_and_handles import RATING_MIN_REVIEWS, RATING_SLIDER, \
DEV_AVERAGE_RATING_LABEL, \
DEFAULT_PLOT_STYLE_DICT, WHITE_STEAM, TAB_COLOR, TAB_EDGE, DEVELOPER_DROPDOWN, \
DEV_TOP_GENRES_LABEL, 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, MARKET_PERFORMANCE_SCATTER, MP_COMPANY_TYPE_DROPDOWN, REVENUE_COMPANY_GAME_COUNT, \
PUB_AVERAGE_RATING_LABEL, PUB_TOP_GENRES_LABEL, PUB_CCU_LABEL, PUB_GAME_COUNT_LABEL, PUB_TOP_GAMES, \
PUB_REV_PER_GAME_LABEL, PUB_REVENUE_LABEL, GAMES_BY_PUB_GRAPH, PUBLISHER_DROPDOWN, TOP_REVENUE_COMPANIES, \
TOP_COMPANY_TABLE_AREA
from dash_plot_generation.utils import get_cumulative_owner_game_count_limits_for_dev_and_pub
# 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)
unique_genres = ["Action", "Adventure"]
# Game popularity filter values
max_reviews = numpy.nanmax(ds.FULL_DATA.apply(lambda x: x["positive"] + x["negative"], axis=1))
owner_range_dict = {index: val_str for (index, (val, val_str)) in enumerate(ds.OWNER_RANGE_PARTS_SORTED)}
min_owner = min(owner_range_dict.keys())
max_owner = max(owner_range_dict.keys())
cumulative_owner_ranges = get_cumulative_owner_game_count_limits_for_dev_and_pub(ds.FULL_DATA)
cum_range_limits = {
"min": min(cumulative_owner_ranges["developer"]["min"], cumulative_owner_ranges["publisher"]["max"]),
"max": max(cumulative_owner_ranges["developer"]["max"], cumulative_owner_ranges["publisher"]["max"])}
layout = html.Div(
children=[
html.Div(className="row", children=[
html.Div(children=[
dcc.Tabs(id="main_plots", value="tab1", className="panel-2", children=[
dcc.Tab(label="Genre performance", value="tab1",
className="custom-tab", selected_className="custom-tab--selected",
children=[
html.Div(children=[
html.Div(
children=[
html.Div(className="panel_division",
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(className="small_panel",
style={'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""")
], className="panel_division",
style={'width': '90%'})
],
className="custom-div-main-panel scrollable")
]),
dcc.Tab(label="Free vs Non-free analysis", value="tab2",
className="custom-tab", selected_className="custom-tab--selected",
children=[
html.Div(id="Game pop general layout",
className="custom-div-main-panel 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",
className="panel_division",
style={'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",
className="panel_division",
style={'width': '90%'},
children=[
dcc.Tabs(
id=RATING_TABS,
value="plot",
className="panel-2",
children=[
dcc.Tab(value="plot",
label="Distribution figure",
className="custom-tab-sub",
selected_className="custom-tab-sub--selected"),
dcc.Tab(label="Top non-free games",
value="non-free",
className="custom-tab sub",
selected_className="custom-tab-sub--selected"),
dcc.Tab(label="Top free games",
value="free",
className="custom-tab sub",
selected_className="custom-tab-sub--selected")
]
),
html.Div(className="scrollable div-with_scroll",
children=[html.Div(id=RATING_TABS_OUTPUT_AREA)])
])
]
),
]
),
dcc.Tab(label="Market performance", value="tab4",
className="custom-tab", selected_className="custom-tab--selected",
children=[
html.Div(
children=[
html.Div(children=[
html.Div(children=[dcc.Graph(id=MARKET_PERFORMANCE_SCATTER,
figure=go.Figure(
layout=DEFAULT_PLOT_STYLE_DICT |
dict(
title="Market performance",
margin=dict(l=20, r=20,
t=50,
b=20)))
)],
style={"width": "80%", "vertical-align": "top",
"display": "inline-block", "margin-right": "5%"}),
html.Div(children=[html.H5("Filters"),
dcc.Dropdown(id=MP_COMPANY_TYPE_DROPDOWN,
className='dash-dropdown',
value="developer",
options=[
{"label": html.Span(
[company_type],
style={'color': WHITE_STEAM}),
"value": company_type} for
company_type
in ["developer", "publisher"]]),
dcc.RangeSlider(id=REVENUE_COMPANY_GAME_COUNT,
min=cum_range_limits["min"],
max=cum_range_limits["max"],
step=cum_range_limits["min"],
value=[cum_range_limits["min"],
cum_range_limits["max"]],
marks=None,
tooltip={"placement": "right",
"always_visible": True},
vertical=True,
verticalHeight=200),
],
style={"width": "15%", "vertical-align": "top",
"display": "inline-block"})
], style={"display": "flex", "align-items": "flex-start",
"margin-bottom": "50px",
"height":"500px"}
),
html.Div(id="Market performance_second",
children=[
html.H4("Top companies by revenue",
style={"margin-bottom": "20px"}),
dcc.Tabs(
id=TOP_REVENUE_COMPANIES,
value="developer",
className="panel-2",
children=[
dcc.Tab(value="developer",
label="Developers",
className="custom-tab-sub",
selected_className="custom-tab-sub--selected"),
dcc.Tab(label="Publishers",
value="publisher",
className="custom-tab sub",
selected_className="custom-tab-sub--selected")
],
),
html.Div(children=[],
style={"width": "70%"},
className="top-border-thin"
),
html.Div(className="scrollable div-with_scroll",
children=[html.Div(id=TOP_COMPANY_TABLE_AREA)])
],
)
],
className="custom-div-main-panel scrollable",
)
],
),
]),
],
className="panel-1",
style={'width': '900px'}),
html.Div(children=[
dcc.Tabs(id="company_information", value="tab3", className="panel-2", children=[
dcc.Tab(label="Developer infromation",
className="custom-tab", selected_className="custom-tab--selected",
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'},
className='dash-dropdown',
),
html.Div(children=[
html.Div(
children=[
html.Div(
children=[html.P("Revenue", className="small_header")],
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",
className="list", style={'padding-left': '5%'})
]),
html.Div(children=[
html.P(id=DEV_REV_PER_GAME_LABEL, children="$925 M",
className="list", style={'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"),
])
]),
])
],
className="small_panel_tab_div",
style={'margin-right': '20px'}
),
html.Div(children=[
html.Div(
children=[
html.Div(
children=[html.P("General information",
className="small_header")],
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",
className="list"),
],
style={'margin-bottom': '10px'}
),
html.Div(children=[
html.P(id=DEV_CCU_LABEL, children="",
className="list"),
],
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="",
className="list")
])
])
])
], className="small_panel_tab_div",
style={'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"
)
]),
dcc.Tab(label="Publisher information", value="tab4",
className="custom-tab", selected_className="custom-tab--selected",
children=[
dcc.Dropdown(id=PUBLISHER_DROPDOWN, value="Valve",
options=[{"label": html.Span([publisher], style={'color': WHITE_STEAM}),
"value": publisher} for publisher in
unique_publishers],
style={'margin-top': '20px'},
className='dash-dropdown',
),
html.Div(children=[
html.Div(
children=[
html.Div(
children=[html.P("Revenue", className="small_header")],
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=PUB_REVENUE_LABEL, children="$524 M",
className="list", style={'padding-left': '5%'})
]),
html.Div(children=[
html.P(id=PUB_REV_PER_GAME_LABEL, children="$925 M",
className="list", style={'padding-left': '5%'})
]),
],
style={'margin-bottom': '20px'}),
html.Div(children=[
html.P("Top games by revenue:"),
html.Small(id=PUB_TOP_GAMES, children="Half life 2"),
])
]),
])
],
className="small_panel_tab_div",
style={'margin-right': '20px'}
),
html.Div(children=[
html.Div(
children=[
html.Div(
children=[html.P("General information",
className="small_header")],
style={'margin-bottom': '10px',
'border-bottom': '2px solid ' + TAB_EDGE}),
html.Div(children=[
html.Div(children=[
html.P(id=PUB_GAME_COUNT_LABEL, children="5",
className="list"),
],
style={'margin-bottom': '10px'}
),
html.Div(children=[
html.P(id=PUB_CCU_LABEL, children="",
className="list"),
],
style={'margin-bottom': '10px'}
),
html.Div(children=[
html.P("Popular game genres:"),
html.Small(id=PUB_TOP_GENRES_LABEL,
children="FPS, Action, Puzzle"),
],
style={'margin-bottom': '10px'}
),
html.Div(children=[
html.P(id=PUB_AVERAGE_RATING_LABEL,
children="",
className="list")
])
])
])
], className="small_panel_tab_div",
style={'margin-left': '20px'}
)
], style={'height': '300px', 'overflow': 'auto', 'margin-bottom': '20px'},
),
html.Div(
children=[dcc.Graph(id=GAMES_BY_PUB_GRAPH,
style=DEFAULT_PLOT_STYLE_DICT | {'height': '250px',
'width': '100%'})
]
)
])
]),
],
className="panel-1",
style={'width': '700px'})
],
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",
)