# server.py
import matplotlib.pyplot as plt
from shiny import render, ui
import faicons as fa
#from fontawesomefree import icons
import numpy as np
from utils import conlogo, vendorlogo
from utils import create_pie_chart, create_bar_chart, create_bar_chart, create_stacked_bar_chart

def create_server(app_dir):
    def server(input, output, session):

        @render.image
        def rsglogo():
            return conlogo()
        
        @render.image
        def clientlogo():
            return vendorlogo()
        
        @render.plot
        def bar_chart():
            # Sample data for bar chart
            categories = ["Category A", "Category B", "Category C"]
            values = [10, 20, 30]

            return create_bar_chart(categories, values, plottitle = "Bar Chart Example")

        @render.plot
        def pie_chart():
            # Data for pie chart
            labels = ["Home-Based Work", "Home-Based Other", "Non-Home-Based"]
            #labels = [f"{icons['fa-car']} Cars", f"{icons['fa-bicycle']} Bikes", f"{icons['fa-bus']} Buses"]
            #labels = [f"{fa.icon_svg("briefcase")} Cars", f"{fa.icon_svg("briefcase")} Bikes", f"{fa.icon_svg("briefcase")} Buses"]
            

            sizes = [22, 41, 37]
            colors = ["#00b3b3", "#70d281", "#ff7f0e"]
            explode = (0.1, 0, 0)  # Explode the first slice for emphasis
            
            return create_pie_chart(labels, sizes, plottitle ="What Types of Trips are Occuring within Napa County on a Weekday?")

        @render.plot
        def stacked_bar_chart():
            # Data for the stacked bar chart
            categories = ["Early AM", "AM Peak", "Mid-Day", "PM Peak", "Evening"]
            intra_napa = [2000, 16000, 14000, 12000, 5000]
            into_napa = [1000, 8000, 2000, 3000, 2000]
            out_napa = [2000, 4000, 2000, 5000, 1000]

            return create_stacked_bar_chart(categories, intra_napa, into_napa, out_napa)
                
    return server