#logo plots

# create functions

# one with OR
  # --> select/drop down option to remove empty positions
      # --> easy peasy, just select the merged_df3_comp
  # --> select/drop down option for colour
      # --> if clustalx and taylor,  set variable to black bg + white font
      # --> if chemistry and hydrophobicity, then grey bg +  black font 

  # --> select/drop down option for log scale
  # --> should include WT

# one for multiple muts
  # --> select/drop down option to filter count of nsSNPs
  # --> select/drop down  option for colour
  # --> should include WT

# Data used
#wide_df_or # or logo plot
#wide_df_or_mult # > 1 sites
#wide_df_logor_m #make it as a scale option. REDUNDANT
#tab_mt # mutant logo plot
#tab_wt # wt logo plot

# Make it hover over position and then get the corresponding data table!
#%%======================================================================

#==================
# logo data: OR
#==================
# NOTE: my_logo_col
# Can be one of these: 'chemistry', 'hydrophobicity', 'clustalx', 'taylor'
# if 'chemistry' or 'hydrophobicity' --> then bg is grey with  black font (x, y and labels)
# if 'clustalx'or 'taylor' --> then bg is black with white font (x, y and labels)
    #, theme_bgc = 
    #, xfont_bgc = 
    #, yfont_bgc = 
    #, xtt_col = 
    #, ytt_col = 

# ADD legend for hydrophobicity: done
# ADD option to remove empty positions

LogoPlotCustomH <- function(plot_df
                     , x_axis_colname = "position"
                     , y_axis_colname = "or_mychisq"
                     , symbol_colname = "mutant_type"
                     , y_axis_log  = F
                     , log_value = log10
                     , y_axis_increment = 5
                     , rm_empty_y = F
                     , my_logo_col = "chemistry" 
                     , x_lab = "Position"
                     , y_lab = "Odds Ratio"
                     , x_ats = 12 # text size
                     , x_tangle = 90 # text angle
                     , y_ats = 22
                     , y_tangle = 0
                     , x_tts = 20 # title size
                     , y_tts = 23
                     , leg_pos = "none" # can be top, left, right and bottom or c(0.8, 0.9)
                     , leg_dir = "horizontal" #can be vertical or horizontal
                     , leg_ts = 15 # leg text size
                     , leg_tts = 16 # leg title size
                     )

{
   #################################
   # Data processing for logo plot
   #################################
   if (rm_empty_y){
      plot_df = plot_df[!is.na(plot_df[y_axis_colname]),]
      cat("\nRemoving empty positions...\n")
      }else{
      plot_df = plot_df
      }
    
    y_max = max(plot_df['or_mychisq'], na.rm = T)
    cat("\nRemoving y scale incremenet:", y_axis_increment)
    y_lim = round_any(y_max, y_axis_increment, f = ceiling)
    
    #-------------------
    # logo data: LogOR
    #-------------------
    if (y_axis_log){
    
    log_colname = paste0("log_", y_axis_colname)
    plot_df[log_colname] = log_value(plot_df[y_axis_colname])
    logo_df = plot_df[, c(x_axis_colname, symbol_colname, log_colname)]
    logo_df_plot = logo_df[, c(x_axis_colname, symbol_colname, log_colname)]
    logo_dfP_wf  =  as.matrix(logo_df_plot %>% spread(x_axis_colname, log_colname, fill = 0.0))
    
    #!!! For consideration: to add y_axis 'breaks' and 'limits' !!!
    #y_max = max(plot_df[[log_colname]], na.rm = T)
    #y_axis_increment = 
    #cat("\nRemoving y scale incremenet:", y_axis_increment)
    
    #y_lim = round_any(y_max, y_axis_increment, f = ceiling)
    
    } else {
      
    #-------------------
    # logo data: OR
    #-------------------
    logo_df = plot_df[, c(x_axis_colname, symbol_colname, y_axis_colname)]
    logo_df_plot = logo_df[, c(x_axis_colname, symbol_colname, y_axis_colname)]
    logo_dfP_wf  =  as.matrix(logo_df_plot %>% spread(x_axis_colname, y_axis_colname, fill = 0.0))
    
  }

  class(logo_dfP_wf)
  
  rownames(logo_dfP_wf) = logo_dfP_wf[,1]
  dim(logo_dfP_wf)
  
  logo_dfP_wf = logo_dfP_wf[,-1]
  str(logo_dfP_wf)
  
  colnames(logo_dfP_wf)
  position_or = as.numeric(colnames(logo_dfP_wf))

  ######################################
  # Generating plots with given y_axis
  #####################################
  if (my_logo_col %in% c('clustalx','taylor')) {
    cat("\nSelected colour scheme:", my_logo_col
        , "\nUsing black theme\n")
    
    theme_bgc  = "black"
    xfont_bgc  = "white"
    yfont_bgc  = "white"
    xtt_col    = "white"
    ytt_col    = "white"
  }

  if (my_logo_col %in% c('chemistry', 'hydrophobicity')) {
    cat('\nSelected colour scheme:', my_logo_col
        , "\nUsing grey theme")
    
    theme_bgc = "grey"
    xfont_bgc  = "black"
    yfont_bgc  = "black"
    xtt_col    = "black"
    ytt_col    = "black"
  }
 
  p0 = ggseqlogo(logo_dfP_wf
                      , method = "custom"
                      , col_scheme = my_logo_col
                      , seq_type = "aa") + 
    #ylab("my custom height") +
    theme(axis.text.x = element_text(size = x_ats
                                      , angle = x_tangle
                                      , hjust = 1
                                      , vjust = 0.4
                                      , colour = xfont_bgc)
           , axis.text.y = element_text(size = y_ats
                                        , angle = y_tangle
                                        , hjust = 1
                                        , vjust = 0
                                        , colour = yfont_bgc)
           , axis.title.x = element_text(size = x_tts
                                        , colour = xtt_col)
           , axis.title.y = element_text(size = y_tts
                                        , colour = ytt_col)
           , legend.title = element_text(size = leg_tts
                                        , colour = ytt_col)
           , legend.text = element_text(size = leg_ts)
          
           , legend.position = leg_pos
           , legend.direction = leg_dir
           , plot.background = element_rect(fill = theme_bgc))+
    
    scale_x_discrete(x_lab
                     #, breaks
                     , labels = position_or
                     , limits = factor(1:length(position_or)))
  
    LogoPlot = p0 + scale_y_continuous(y_lab
                       , breaks = seq(0, (y_lim), by = y_axis_increment)
                       #, labels = seq(0, (y_lim), by = y_axis_increment)
                       , limits = c(0, y_lim))
    if (y_axis_log){
      
      if (grepl("Log", y_lab)){
        y_lab = y_lab
        
      }else{
        y_lab = paste("Log", y_lab)
      }
      
    LogoPlot = p0 + ylab(y_lab)
  
    }


  return(LogoPlot)

}