xvadur/Aethero_github
0
1#!/usr/bin/env python32"""3Aethero Dashboard - Vizualizácia a analýza Aetheron jednotiek4Real-time dashboard pre slovak healthcare developer productivity5"""6 7import json8import pandas as pd9import matplotlib.pyplot as plt10import matplotlib.dates as mdates11import seaborn as sns12from datetime import datetime, timedelta13import numpy as np14from typing import Dict, List, Any15import plotly.graph_objects as go16import plotly.express as px17from plotly.subplots import make_subplots18import os19import glob20 21class AetheroDashboard:22 """23 Interaktívny dashboard pre vizualizáciu Aetheron audit výsledkov24 """25 26 def __init__(self):27 self.audit_data = None28 self.df_units = None29 self.df_sessions = None30 31 # Štýlové nastavenia32 plt.style.use('seaborn-v0_8-darkgrid')33 sns.set_palette("husl")34 35 def load_latest_audit_data(self, audit_dir: str = ".") -> bool:36 """Načítanie najnovších audit dát"""37 audit_files = glob.glob(os.path.join(audit_dir, "aethero_audit_*.json"))38 39 if not audit_files:40 print("❌ Žiadne audit súbory nenájdené")41 return False42 43 # Najnovší súbor44 latest_file = max(audit_files, key=os.path.getctime)45 46 try:47 with open(latest_file, 'r', encoding='utf-8') as f:48 self.audit_data = json.load(f)49 50 # Konverzia na pandas DataFrames51 self._prepare_dataframes()52 print(f"✅ Audit dáta načítané z: {latest_file}")53 return True54 55 except Exception as e:56 print(f"❌ Chyba pri načítaní audit dát: {e}")57 return False58 59 def _prepare_dataframes(self):60 """Príprava pandas DataFrames pre analýzu"""61 if not self.audit_data:62 return63 64 # DataFrame pre Aetheron jednotky65 units_data = []66 for unit in self.audit_data.get('aetheron_units', []):67 unit_dict = unit.copy()68 unit_dict['timestamp'] = pd.to_datetime(unit_dict['timestamp'])69 unit_dict['hour'] = unit_dict['timestamp'].hour70 unit_dict['day_of_week'] = unit_dict['timestamp'].day_name()71 unit_dict['date'] = unit_dict['timestamp'].date()72 units_data.append(unit_dict)73 74 self.df_units = pd.DataFrame(units_data)75 76 # DataFrame pre relácie77 sessions_data = []78 for session in self.audit_data.get('development_sessions', []):79 session_dict = session.copy()80 session_dict['start_time'] = pd.to_datetime(session_dict['start_time'])81 session_dict['end_time'] = pd.to_datetime(session_dict['end_time'])82 session_dict['date'] = session_dict['start_time'].date()83 sessions_data.append(session_dict)84 85 self.df_sessions = pd.DataFrame(sessions_data)86 87 def create_productivity_timeline(self) -> go.Figure:88 """Timeline produktivity s Aetheron jednotkami"""89 if self.df_units is None or len(self.df_units) == 0:90 return go.Figure().add_annotation(text="Žiadne dáta na zobrazenie")91 92 fig = go.Figure()93 94 # Hlavná línia Aetheron hodnôt95 fig.add_trace(go.Scatter(96 x=self.df_units['timestamp'],97 y=self.df_units['aetheron_value'],98 mode='lines+markers',99 name='Aetheron Value',100 line=dict(color='#1f77b4', width=3),101 marker=dict(size=8, color='#1f77b4')102 ))103 104 # Kognitívna záťaž ako secondary y-axis105 fig.add_trace(go.Scatter(106 x=self.df_units['timestamp'],107 y=self.df_units['cognitive_load_estimate'],108 mode='lines',109 name='Cognitive Load',110 yaxis='y2',111 line=dict(color='#ff7f0e', width=2, dash='dash'),112 opacity=0.7113 ))114 115 fig.update_layout(116 title='🚀 Slovak Healthcare Developer - Productivity Timeline',117 xaxis_title='Time',118 yaxis_title='Aetheron Value',119 yaxis2=dict(120 title='Cognitive Load',121 overlaying='y',122 side='right',123 range=[0, 10]124 ),125 hovermode='x unified',126 template='plotly_dark'127 )128 129 return fig130 131 def create_daily_productivity_heatmap(self) -> go.Figure:132 """Heatmapa dennej produktivity"""133 if self.df_units is None or len(self.df_units) == 0:134 return go.Figure()135 136 # Pivot table pre heatmapu137 daily_productivity = self.df_units.groupby(['date', 'hour'])['aetheron_value'].sum().reset_index()138 pivot_data = daily_productivity.pivot(index='date', columns='hour', values='aetheron_value').fillna(0)139 140 fig = go.Figure(data=go.Heatmap(141 z=pivot_data.values,142 x=[f"{h:02d}:00" for h in pivot_data.columns],143 y=[str(d) for d in pivot_data.index],144 colorscale='Viridis',145 colorbar=dict(title="Aetheron Value")146 ))147 148 fig.update_layout(149 title='📅 Daily Development Rhythm Heatmap',150 xaxis_title='Hour of Day',151 yaxis_title='Date',152 template='plotly_dark'153 )154 155 return fig156 157 def create_cognitive_analysis_radar(self) -> go.Figure:158 """Radar chart pre kognitívnu analýzu"""159 if self.df_units is None or len(self.df_units) == 0:160 return go.Figure()161 162 # Agregované metriky163 metrics = {164 'Avg Aetheron Value': self.df_units['aetheron_value'].mean(),165 'Avg Rhythm Score': self.df_units['development_rhythm_score'].mean(),166 'Avg Efficiency': self.df_units['efficiency_multiplier'].mean(),167 'Cognitive Coherence': 10 - self.df_units['cognitive_load_estimate'].mean(),168 'Git Activity': self.df_units['git_commit_count'].mean() * 2,169 'Shell Activity': self.df_units['shell_commands_count'].mean() / 2170 }171 172 # Normalizácia na 0-10 škálu173 max_values = {'Avg Aetheron Value': 5, 'Avg Rhythm Score': 1, 'Avg Efficiency': 1,174 'Cognitive Coherence': 10, 'Git Activity': 10, 'Shell Activity': 10}175 176 normalized_metrics = {}177 for key, value in metrics.items():178 normalized_metrics[key] = min(10, (value / max_values[key]) * 10)179 180 categories = list(normalized_metrics.keys())181 values = list(normalized_metrics.values())182 183 fig = go.Figure()184 185 fig.add_trace(go.Scatterpolar(186 r=values + [values[0]], # Zatvorenie kruhu187 theta=categories + [categories[0]],188 fill='toself',189 name='Slovak Developer Profile',190 line_color='#1f77b4'191 ))192 193 fig.update_layout(194 polar=dict(195 radialaxis=dict(196 visible=True,197 range=[0, 10]198 )),199 title='🧠 Cognitive Performance Radar - Slovak Healthcare Dev',200 template='plotly_dark'201 )202 203 return fig204 205 def create_session_analysis_chart(self) -> go.Figure:206 """Analýza vývojových relácií"""207 if self.df_sessions is None or len(self.df_sessions) == 0:208 return go.Figure()209 210 fig = make_subplots(211 rows=2, cols=2,212 subplot_titles=('Session Duration vs Aetherony', 'Productivity Rating Distribution',213 'Cognitive Coherence vs Output', 'Sessions by Day of Week'),214 specs=[[{"secondary_y": False}, {"type": "pie"}],215 [{"secondary_y": False}, {"type": "bar"}]]216 )217 218 # 1. Duration vs Aetherony scatter219 fig.add_trace(go.Scatter(220 x=self.df_sessions['duration_hours'],221 y=self.df_sessions['total_aetherony'],222 mode='markers',223 marker=dict(224 size=self.df_sessions['cognitive_coherence'] * 20,225 color=self.df_sessions['cognitive_coherence'],226 colorscale='Viridis',227 showscale=True228 ),229 name='Sessions'230 ), row=1, col=1)231 232 # 2. Productivity rating pie233 rating_counts = self.df_sessions['productivity_rating'].value_counts()234 fig.add_trace(go.Pie(235 labels=rating_counts.index,236 values=rating_counts.values,237 name="Productivity"238 ), row=1, col=2)239 240 # 3. Cognitive coherence vs commits241 fig.add_trace(go.Scatter(242 x=self.df_sessions['cognitive_coherence'],243 y=self.df_sessions['commits_count'],244 mode='markers',245 name='Coherence vs Commits'246 ), row=2, col=1)247 248 # 4. Sessions by day of week249 if 'start_time' in self.df_sessions.columns:250 daily_sessions = self.df_sessions.groupby(251 self.df_sessions['start_time'].dt.day_name()252 ).size().reindex(['Monday', 'Tuesday', 'Wednesday', 'Thursday', 253 'Friday', 'Saturday', 'Sunday'], fill_value=0)254 255 fig.add_trace(go.Bar(256 x=daily_sessions.index,257 y=daily_sessions.values,258 name='Sessions per Day'259 ), row=2, col=2)260 261 fig.update_layout(262 title='📊 Development Sessions Analysis',263 template='plotly_dark',264 height=800265 )266 267 return fig268 269 def generate_executive_summary(self) -> Dict[str, Any]:270 """Generovanie executive summary pre management"""271 if not self.audit_data:272 return {}273 274 metadata = self.audit_data.get('audit_metadata', {})275 summary_stats = self.audit_data.get('summary_statistics', {})276 277 # Výpočet ROI a human capital efficiency278 total_aetherony = metadata.get('total_aetherony_generated', 0)279 total_sessions = metadata.get('total_sessions', 0)280 281 # Odhad nákladov vs výstup (na základe SK healthcare salary)282 avg_slovak_dev_hourly_rate = 25 # EUR/hour283 estimated_dev_hours = total_sessions * 2 # Priemer 2h na session284 estimated_cost = estimated_dev_hours * avg_slovak_dev_hourly_rate285 286 aetheron_value_eur = total_aetherony * 50 # 1 Aetheron = 50 EUR value287 roi_percentage = ((aetheron_value_eur - estimated_cost) / estimated_cost * 100) if estimated_cost > 0 else 0288 289 return {290 'performance_summary': {291 'total_aetherony_generated': total_aetherony,292 'development_efficiency_rating': summary_stats.get('development_efficiency_rating', 'N/A'),293 'average_productivity_per_hour': summary_stats.get('average_aetherony_per_hour', 0),294 'most_productive_day': summary_stats.get('most_productive_day', 'N/A')295 },296 'business_metrics': {297 'estimated_development_hours': estimated_dev_hours,298 'estimated_development_cost_eur': estimated_cost,299 'generated_value_eur': aetheron_value_eur,300 'roi_percentage': round(roi_percentage, 2),301 'human_capital_efficiency': 'Vysoká' if roi_percentage > 100 else 'Stredná'302 },303 'cognitive_insights': {304 'average_cognitive_load': summary_stats.get('average_cognitive_load', 0),305 'cognitive_coherence_trend': 'Stable' if summary_stats.get('average_cognitive_load', 0) < 6 else 'High Load',306 'top_development_patterns': summary_stats.get('top_development_patterns', {})307 },308 'recommendations': self._generate_recommendations(summary_stats, total_aetherony)309 }310 311 def _generate_recommendations(self, stats: Dict, total_aetherony: float) -> List[str]:312 """AI-powered recommendations pre zlepšenie produktivity"""313 recommendations = []314 315 avg_cognitive_load = stats.get('average_cognitive_load', 5)316 avg_rhythm = stats.get('average_rhythm_score', 0.5)317 318 if avg_cognitive_load > 7:319 recommendations.append("🧠 Vysoká kognitívna záťaž - zvážte kratšie working sessions s prestávkami")320 321 if avg_rhythm < 0.6:322 recommendations.append("⚡ Nízky development rhythm - implementujte Pomodoro technique")323 324 if total_aetherony < 10:325 recommendations.append("📈 Nízka produktivita - analyzujte time management a eliminujte distrakcie")326 327 if 'debugging' in str(stats.get('top_development_patterns', {})):328 recommendations.append("🐛 Vysoký debugging ratio - investujte do test coverage a code review")329 330 recommendations.append("🏥 Slovak healthcare context: Optimálne pre part-time development vedľa medicínskej praxe")331 332 return recommendations333 334 def export_dashboard_report(self, output_dir: str = ".") -> str:335 """Export dashboard do HTML reportu"""336 if not self.audit_data:337 return ""338 339 # Generovanie všetkých chartov340 timeline_chart = self.create_productivity_timeline()341 heatmap_chart = self.create_daily_productivity_heatmap()342 radar_chart = self.create_cognitive_analysis_radar()343 session_chart = self.create_session_analysis_chart()344 345 executive_summary = self.generate_executive_summary()346 347 # HTML template348 html_content = f"""349 <!DOCTYPE html>350 <html>351 <head>352 <title>Aethero Development Audit Dashboard</title>353 <script src="https://cdn.plot.ly/plotly-latest.min.js"></script>354 <style>355 body {{ font-family: Arial, sans-serif; margin: 20px; background: #1e1e1e; color: white; }}356 .container {{ max-width: 1200px; margin: 0 auto; }}357 .header {{ text-align: center; margin-bottom: 30px; }}358 .chart-container {{ margin: 20px 0; }}359 .summary-box {{ background: #2d2d2d; padding: 20px; border-radius: 10px; margin: 20px 0; }}360 .metric {{ display: inline-block; margin: 10px; padding: 15px; background: #3d3d3d; border-radius: 5px; }}361 .recommendations {{ background: #0d4f8c; padding: 15px; border-radius: 5px; margin: 10px 0; }}362 </style>363 </head>364 <body>365 <div class="container">366 <div class="header">367 <h1>🚀 Aethero Development Audit Dashboard</h1>368 <h2>Slovak Healthcare Developer Performance Analysis</h2>369 <p>Generated: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}</p>370 </div>371 372 <div class="summary-box">373 <h3>📊 Executive Summary</h3>374 <div class="metric">375 <strong>Total Aetherony:</strong> {executive_summary.get('performance_summary', {}).get('total_aetherony_generated', 0):.2f}376 </div>377 <div class="metric">378 <strong>Efficiency Rating:</strong> {executive_summary.get('performance_summary', {}).get('development_efficiency_rating', 'N/A')}379 </div>380 <div class="metric">381 <strong>ROI:</strong> {executive_summary.get('business_metrics', {}).get('roi_percentage', 0):.1f}%382 </div>383 <div class="metric">384 <strong>Most Productive Day:</strong> {executive_summary.get('performance_summary', {}).get('most_productive_day', 'N/A')}385 </div>386 </div>387 388 <div class="chart-container">389 <div id="timeline-chart"></div>390 </div>391 392 <div class="chart-container">393 <div id="heatmap-chart"></div>394 </div>395 396 <div class="chart-container">397 <div id="radar-chart"></div>398 </div>399 400 <div class="chart-container">401 <div id="session-chart"></div>402 </div>403 404 <div class="summary-box">405 <h3>💡 AI-Powered Recommendations</h3>406 {''.join([f'<div class="recommendations">{rec}</div>' for rec in executive_summary.get('recommendations', [])])}407 </div>408 </div>409 410 <script>411 Plotly.newPlot('timeline-chart', {timeline_chart.to_json()});412 Plotly.newPlot('heatmap-chart', {heatmap_chart.to_json()});413 Plotly.newPlot('radar-chart', {radar_chart.to_json()});414 Plotly.newPlot('session-chart', {session_chart.to_json()});415 </script>416 </body>417 </html>418 """419 420 # Zápis súboru421 timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")422 filename = f"aethero_dashboard_{timestamp}.html"423 filepath = os.path.join(output_dir, filename)424 425 with open(filepath, 'w', encoding='utf-8') as f:426 f.write(html_content)427 428 return filepath429 430def main():431 """Hlavná funkcia dashboard aplikácie"""432 dashboard = AetheroDashboard()433 434 if dashboard.load_latest_audit_data():435 print("🎯 Generujem Aethero Dashboard...")436 437 # Export HTML dashboard438 report_path = dashboard.export_dashboard_report()439 print(f"📊 Dashboard vygenerovaný: {report_path}")440 441 # Executive summary442 summary = dashboard.generate_executive_summary()443 print("\n" + "="*50)444 print("📈 EXECUTIVE SUMMARY")445 print("="*50)446 447 perf = summary.get('performance_summary', {})448 business = summary.get('business_metrics', {})449 450 print(f"🚀 Total Aetherony Generated: {perf.get('total_aetherony_generated', 0):.2f}")451 print(f"⚡ Efficiency Rating: {perf.get('development_efficiency_rating', 'N/A')}")452 print(f"💰 ROI: {business.get('roi_percentage', 0):.1f}%")453 print(f"🧠 Human Capital Efficiency: {business.get('human_capital_efficiency', 'N/A')}")454 455 print("\n💡 Recommendations:")456 for rec in summary.get('recommendations', []):457 print(f" {rec}")458 459 else:460 print("❌ Spustite najprv aethero_audit.py pre generovanie dát")461 462if __name__ == "__main__":463 main()464