137 lines
No EOL
5.6 KiB
Python
137 lines
No EOL
5.6 KiB
Python
import disnake
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from disnake.ext import commands
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import matplotlib.pyplot as plt
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import plotly.graph_objects as go
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import plotly.express as px
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from plotly.subplots import make_subplots
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import io
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import numpy as np
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from datetime import datetime, timedelta
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from collections import defaultdict
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from commandes.ticket.data.storage import get_storage
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from commandes.ticket.data.models import TicketStatus
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from commandes.ticket.staff_analytics import StaffAnalytics
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class StaffRatings(commands.Cog):
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def __init__(self, bot):
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self.bot = bot
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@commands.slash_command(name="staff-ratings", description="Affiche les évaluations du staff")
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async def staff_ratings(self, interaction: disnake.ApplicationCommandInteraction,
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team: str = commands.Param(None, description="Filtrer par équipe (optionnel)")):
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"""Commande pour afficher les évaluations du staff"""
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await interaction.response.defer(ephemeral=False)
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try:
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storage = get_storage()
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analytics = StaffAnalytics(self.bot)
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# Get staff list
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staff_list = await analytics.get_staff_list(interaction.guild_id)
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if not staff_list:
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await interaction.followup.send("Aucun membre du staff n'a été trouvé.", ephemeral=True)
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return
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# Filter by team if specified
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if team:
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# This would require a team mapping in the staff data
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# For now, we'll show all staff
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pass
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# Create the rating chart using matplotlib
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chart_buffer = self.create_staff_rating_chart_matplotlib(staff_list)
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# Create embed
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embed = disnake.Embed(
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title="📊 Évaluations du Staff",
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description="Performance globale du staff",
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color=disnake.Color.blue(),
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timestamp=datetime.now()
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)
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# Add stats
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total_ratings = sum(s['total_ratings'] for s in staff_list)
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avg_rating = sum(s['average_rating'] for s in staff_list if s['total_ratings'] > 0) / len([s for s in staff_list if s['total_ratings'] > 0]) if any(s['total_ratings'] > 0 for s in staff_list) else 0
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embed.add_field(
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name="📈 Statistiques",
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value=f"**Membres du staff:** {len(staff_list)}\n"
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f"**Évaluations totales:** {total_ratings}\n"
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f"**Note moyenne globale:** {avg_rating:.1f}⭐",
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inline=False
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)
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# Send chart
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file = disnake.File(chart_buffer, filename="staff_ratings.png")
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await interaction.followup.send(embed=embed, file=file)
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except Exception as e:
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print(f"Error in staff_ratings command: {e}")
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await interaction.followup.send("Une erreur est survenue lors de la génération des statistiques.", ephemeral=True)
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def create_staff_rating_chart_matplotlib(self, staff_list):
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"""Create staff rating chart using matplotlib"""
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# Filter staff with ratings
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rated_staff = [s for s in staff_list if s['total_ratings'] > 0]
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if not rated_staff:
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# Return empty chart
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fig, ax = plt.subplots(figsize=(10, 6), facecolor='#2F3136')
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ax.set_facecolor('#2F3136')
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ax.text(0.5, 0.5, 'Aucune évaluation disponible', ha='center', va='center',
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transform=ax.transAxes, color='white')
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ax.set_title('Évaluations des Membres du Staff', color='white')
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buf = io.BytesIO()
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plt.savefig(buf, format='png', bbox_inches='tight', facecolor='#2F3136')
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buf.seek(0)
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plt.close()
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return buf
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# Sort by average rating
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rated_staff.sort(key=lambda x: x['average_rating'], reverse=True)
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# Prepare data
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names = [s['name'][:15] + '...' if len(s['name']) > 15 else s['name'] for s in rated_staff]
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ratings = [s['average_rating'] for s in rated_staff]
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counts = [s['total_ratings'] for s in rated_staff]
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# Create figure
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fig, ax = plt.subplots(figsize=(12, 8), facecolor='#2F3136')
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fig.patch.set_facecolor('#2F3136')
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ax.set_facecolor('#2F3136')
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# Create bars
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bars = ax.bar(range(len(ratings)), ratings, color=['#57F287' if r >= 4.5 else '#FEE75C' if r >= 3.5 else '#FAA61A' if r >= 2.5 else '#ED4245' for r in ratings])
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# Customize
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ax.set_xticks(range(len(names)))
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ax.set_xticklabels(names, rotation=45, ha='right', color='white')
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ax.set_ylabel('Note moyenne', color='white')
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ax.set_title('Évaluations des Membres du Staff', color='white', fontsize=16)
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ax.tick_params(colors='white')
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ax.grid(True, alpha=0.3, color='gray')
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# Add value labels on bars
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for i, (bar, rating, count) in enumerate(zip(bars, ratings, counts)):
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ax.text(bar.get_x() + bar.get_width()/2, bar.get_height() + 0.05,
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f'{rating:.1f}⭐\n({count})', ha='center', va='bottom', color='white', fontsize=8)
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# Set y-axis limits
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ax.set_ylim(0, 5.2)
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# Adjust layout
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plt.tight_layout()
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# Save to buffer
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buf = io.BytesIO()
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plt.savefig(buf, format='png', bbox_inches='tight', facecolor='#2F3136')
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buf.seek(0)
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plt.close()
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return buf
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def setup(bot):
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bot.add_cog(StaffRatings(bot)) |