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2306 Report Generator 405cb64a
ASecurity```python def generate_usage_report(analytics: UsageAnalytics, days: int = 30) -> str: """Generate a formatted usage report.""" summary = analytics.get_summary( start=datetime.utcnow() - timedelta(days=days) ) performance = analytics.get_performance_metrics(days) top_users = analytics.get_top_users(limit=5, days=days) anomalies = analytics.detect_anomalies(days=7)
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- Added October 11, 2026
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[](https://www.skillsdirectory.com/skills/tools-only-2306-report-generator-405cb64a)# Report Generator
## Report Generator
```python
def generate_usage_report(analytics: UsageAnalytics, days: int = 30) -> str:
"""Generate a formatted usage report."""
summary = analytics.get_summary(
start=datetime.utcnow() - timedelta(days=days)
)
performance = analytics.get_performance_metrics(days)
top_users = analytics.get_top_users(limit=5, days=days)
anomalies = analytics.detect_anomalies(days=7)
report = f"""
================================================================================
KLING AI USAGE REPORT ({days} DAYS)
================================================================================
SUMMARY
-------
Total Generations: {summary['total_generations']}
Completed: {summary['completed']} ({summary['success_rate']:.1f}% success rate)
Failed: {summary['failed']}
Total Credits Used: {summary['total_credits']}
Average Credits/Video: {summary['avg_credits_per_video']:.1f}
PERFORMANCE
-----------
Average Generation Time: {performance['generation_time']['avg']:.1f}s
P95 Generation Time: {performance['generation_time']['p95']:.1f}s
Failure Rate: {performance['failure_rate']:.2f}%
BY MODEL
--------
"""
for model, stats in summary['by_model'].items():
report += f" {model}: {stats['count']} videos, {stats['credits']} credits\n"
report += """
BY DURATION
-----------
"""
for duration, stats in summary['by_duration'].items():
report += f" {duration}: {stats['count']} videos, {stats['credits']} credits\n"
report += """
TOP USERS
---------
"""
for i, user in enumerate(top_users, 1):
report += f" {i}. {user['user_id']}: {user['generations']} videos, {user['credits']} credits\n"
if anomalies:
report += """
ANOMALIES DETECTED
------------------
"""
for a in anomalies:
report += f" {a['date']}: {a['type'].upper()} - {a['generations']} generations (expected ~{a['expected']})\n"
report += """
================================================================================
"""
return report
# Usage
analytics = UsageAnalytics()
# Record events (in production, this would come from your tracking system)
# analytics.record_event(...)
# Generate report
print(generate_usage_report(analytics, days=30))
```Attribution
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