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

import matplotlib
matplotlib.use('Agg')

class PlotPeakHours(BasePlotAnalysis):
    name = "Peak Hours Analysis"
    description = "Identifies peak activity hours using a bar chart."
    plot_filename = "peak_hours.png"
    note = ""

    def transform_data(self, df: pd.DataFrame) -> pd.DataFrame:
        """Transform data to add was_active column and extract peak hours"""
        return df

    def plot_data(self, df: pd.DataFrame):
        """Generate bar chart for peak hours"""
        peak_hours = df[df["was_active"]]["hour"].value_counts().sort_index()

        plt.figure(figsize=(12, 5))
        sns.barplot(x=peak_hours.index, y=peak_hours.values, hue=peak_hours.values, palette="coolwarm")

        plt.xlabel("Hour of the Day")
        plt.ylabel("Activity Count")
        plt.title("Peak Hours of User Activity")
        plt.xticks(range(0, 24))