import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
from .basePlotAnalysis import BasePlotAnalysis
from flask import current_app, url_for

from app.logging_config import get_logger

import matplotlib
matplotlib.use('Agg')

logger = get_logger()

class PlotTopActiveUsers(BasePlotAnalysis):
    name = "Top Active Users"
    description = "Displays the most active users based on their number of recorded actions."
    plot_filename = "bar_activity-per-user.png"
    note = ""
    
    def transform_data(self, df: pd.DataFrame) -> pd.DataFrame:
        """Transform data for the bar plot"""
        df = df[df['was_active'] == True].groupby('name').size().reset_index(name='active_count')
        return df

    def plot_data(self, df: pd.DataFrame):
        """Generate bar plot"""
        # create a barplot from active counts sorted by active count
        plt.figure(figsize=(10, 6))
        sns.barplot(x='active_count', y='name', data=df.sort_values('active_count', ascending=False))
        plt.xticks(rotation=90)
        plt.title('Minutes Active')
        plt.xlabel('Player')
        plt.ylabel('Active Count')