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, RATING_TABLE, \
RATING_DISTRIBUTION_PLOT, 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, DARK_BLUE_STEAM
from dash_plot_generation.data_store import FULL_DATA, OWNER_RANGE_PARTS_SORTED
global APP
# unique_publishers = extract_unique_companies(df["publisher"].apply(lambda x: split_companies(x)))
# unique_developers = extract_unique_companies(df["developer"].iloc[0:10].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])}
# 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
["action"]],
style={'color': WHITE_STEAM, 'display': 'inline-block',
'width': '50%'},
className='dash-dropdown',
),
],
style={'width': '100%', 'margin-bottom': '50px'})
]),
dcc.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="Game popularity", 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(id="game popularity filters",
style=NORMAL_DIVISION_DICT | {'width': '100%',
'height': '100%',
'margin_left': '0px',
'margin_right': '0px',
'background-color': TAB_COLOR,
'display': 'inline-block'},
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"),
dcc.Input(id=RATING_MIN_REVIEWS,
type="number", min=0,
max=max_reviews, step=1, value=0)
]
),
html.Div(
children=[dcc.Graph(id=RATING_DISTRIBUTION_PLOT)],
style=NORMAL_DIVISION_DICT | {'width': '100%',
'display': 'inline-block'}
)
]
),
html.Div(id="Game pop bottom_region",
style=NORMAL_DIVISION_DICT | {'width': '90%',
'overflow': 'auto',
'height': '70%'},
className="scrollable",
children=[
html.Div(dash.dash_table.DataTable(id=RATING_TABLE
))
])
]
),
]
),
dcc.Tab(label="Market performance", value="tab4",
style=TAB_NORMAL_DICT, selected_style=TAB_HIGHLIGHT_DICT),
dcc.Tab(label="Market prediction tool", value="tab5",
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': '10%',
'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={'padding-left': '5%', 'padding-right': '5%',
'padding-bottom': '5%'})
],
style=SMALL_TAB_PANEL_DICT | {'margin-right': '20px', 'margin-left': '0px'}
),
html.Div(children=[
html.Div(
children=[
html.Div(
children=[html.P("General information",
style=SMALL_PANEL_HEADER_DICT)],
style={'margin-bottom': '30px',
'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': '100%'})
], style={'margin-left': '20px', 'margin-right': '0px'}
)
], 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",
)