#!/usr/bin/env python3
"""
Generate Daily Report Script
Creates a markdown report and JSON summary for daily coherence reporting.
"""

import json
import os
from datetime import datetime, timedelta


def load_coherence_report():
    """Load the latest coherence report."""
    report_path = "coherence-report.json"
    
    if not os.path.exists(report_path):
        return None
    
    with open(report_path) as f:
        return json.load(f)


def generate_markdown_report(report):
    """Generate markdown report for GitHub Discussion."""
    if not report:
        return "# Daily Coherence Report\n\nNo coherence report available."
    
    summary = report.get("summary", {})
    issues_by_type = report.get("issues_by_type", {})
    
    timestamp = report.get("timestamp", datetime.now().isoformat())
    score = report.get("coherence_score", 0)
    status = report.get("status", "unknown")
    
    # Determine health emoji
    if status == "healthy":
        health_emoji = "✅"
    elif status == "warning":
        health_emoji = "⚠️"
    else:
        health_emoji = "🚨"
    
    lines = [
        f"# Daily Coherence Report",
        f"**Date:** {datetime.fromisoformat(timestamp).strftime('%Y-%m-%d')}",
        f"**Health:** {health_emoji} {status.upper()}",
        f"**Coherence Score:** {score}/100",
        "",
        "## Summary",
        "",
        f"- **Files Validated:** {summary.get('total_files_validated', 0)}",
        f"- **Total Issues:** {summary.get('total_issues', 0)}",
        "",
        "### Issue Breakdown",
        "",
        f"- 🔴 Critical: {summary.get('critical_issues', 0)}",
        f"- 🟠 High: {summary.get('high_issues', 0)}",
        f"- 🟡 Medium: {summary.get('medium_issues', 0)}",
        f"- 🟢 Low: {summary.get('low_issues', 0)}",
        "",
    ]
    
    # Issues by type
    if issues_by_type:
        lines.extend([
            "### Issues by Type",
            "",
        ])
        for issue_type, count in sorted(issues_by_type.items(), key=lambda x: -x[1]):
            lines.append(f"- `{issue_type}`: {count}")
        lines.append("")
    
    # Auto-fixable issues
    auto_fixable = report.get("auto_fixable", [])
    if auto_fixable:
        lines.extend([
            "### Auto-Fixable Issues",
            "",
            f"The following {len(auto_fixable)} issues can be fixed automatically:",
            "",
        ])
        for issue in auto_fixable[:5]:  # Limit to 5 examples
            lines.append(f"- `{issue.get('file', 'unknown')}`: {issue.get('type', 'unknown')}")
        lines.append("")
    
    # Recent changes
    lines.extend([
        "## Actions Taken",
        "",
        "- Index regenerated",
        "- Metadata validated",
        "- Links checked",
        "",
        "---",
        f"*Generated by Coherence Loop at {timestamp}*",
    ])
    
    return "\n".join(lines)


def generate_json_summary(report):
    """Generate JSON summary for project board updates."""
    if not report:
        return {"status": "no_data", "date": datetime.now().isoformat()}
    
    summary = report.get("summary", {})
    
    return {
        "date": report.get("timestamp", datetime.now().isoformat()),
        "status": report.get("status", "unknown"),
        "coherence_score": report.get("coherence_score", 0),
        "metrics": {
            "files_validated": summary.get("total_files_validated", 0),
            "total_issues": summary.get("total_issues", 0),
            "critical": summary.get("critical_issues", 0),
            "high": summary.get("high_issues", 0),
            "medium": summary.get("medium_issues", 0),
            "low": summary.get("low_issues", 0),
        },
        "issues_by_type": report.get("issues_by_type", {}),
        "new_issues": [
            {"title": f"[{i.get('severity', 'medium').upper()}] {i.get('type', 'unknown')}: {i.get('file', 'unknown')}",
             "body": i.get("message", ""),
             "severity": i.get("severity", "medium"),
             "type": i.get("type", "unknown")}
            for i in report.get("issues", [])[:10]  # Limit to 10 new issues
        ],
    }


def main():
    report = load_coherence_report()
    
    # Generate markdown report
    md_report = generate_markdown_report(report)
    with open("daily-report.md", "w") as f:
        f.write(md_report)
    print("✅ Daily report saved to: daily-report.md")
    
    # Generate JSON summary
    json_summary = generate_json_summary(report)
    with open("daily-report.json", "w") as f:
        json.dump(json_summary, f, indent=2)
    print("✅ JSON summary saved to: daily-report.json")
    
    # Print summary
    print(f"\n📊 Report Summary:")
    print(f"   Status: {json_summary.get('status', 'N/A')}")
    print(f"   Score: {json_summary.get('coherence_score', 0)}/100")
    print(f"   Issues: {json_summary.get('metrics', {}).get('total_issues', 0)}")


if __name__ == "__main__":
    main()