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", )