[Future] Metrics and analytics dashboard

[frankbria]

Overview

Track usage metrics and provide analytics for parallel-cc usage patterns.

Metrics to Track

Session Metrics

• Total sessions created
• Average session duration
• Sessions per repository
• Peak concurrent sessions
• Session failure rate

E2B Metrics

• Total sandbox hours used
• Cost per day/week/month
• Average execution time
• Success/failure ratio
• Most common prompts

Conflict Metrics

• Conflicts detected
• Auto-fix success rate
• Most conflicted files
• Average resolution time

Dashboard CLI

# View metrics summary
parallel-cc metrics

# Detailed E2B cost report
parallel-cc metrics --e2b --range "last 30 days"

# Export for external analysis
parallel-cc metrics --export json > metrics.json
parallel-cc metrics --export csv > metrics.csv

Output Example

📊 parallel-cc Metrics (Last 30 Days)

Sessions:
  Total: 142
  Average Duration: 24 minutes
  Peak Concurrent: 5

E2B Sandboxes:
  Total Hours: 47.3
  Estimated Cost: $4.73
  Success Rate: 94%

Conflicts:
  Detected: 23
  Auto-Fixed: 18 (78%)
  Manual Resolution: 5

Top Repositories:
  1. myproject (58 sessions)
  2. backend-api (34 sessions)
  3. frontend (29 sessions)

Database Schema

CREATE TABLE metrics (
  id TEXT PRIMARY KEY,
  metric_name TEXT NOT NULL,
  metric_value REAL NOT NULL,
  dimensions TEXT,  -- JSON for segmentation
  recorded_at TEXT DEFAULT (datetime('now'))
);

CREATE INDEX idx_metrics_name ON metrics(metric_name);
CREATE INDEX idx_metrics_time ON metrics(recorded_at);

Acceptance Criteria

• Metrics automatically collected
• CLI dashboard shows key metrics
• Export to JSON/CSV works
• Historical data preserved
• Privacy-conscious (no PII collected)

Dependencies

None

[traycerai]

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