"""Site walkthrough analyzer: structured report from observations."""
import json, sys, os, re
sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
from lib.db import now

# Issue patterns to flag
ISSUE_PATTERNS = {
    r"water\s*damage|moisture|leak|mold": {"severity": "high", "category": "water_damage", "cost_impact": 1200},
    r"crack|structural|foundation\s*issue|settling": {"severity": "high", "category": "structural", "cost_impact": 3000},
    r"rot|decay|termite|pest": {"severity": "high", "category": "pest_damage", "cost_impact": 2000},
    r"asbestos|lead\s*paint|hazmat": {"severity": "critical", "category": "hazmat", "cost_impact": 5000},
    r"outdated\s*wiring|knob.and.tube|electrical\s*issue": {"severity": "medium", "category": "electrical", "cost_impact": 2500},
    r"rust|corrosion|pipe": {"severity": "medium", "category": "plumbing", "cost_impact": 1500},
}

def analyze(observations, job_id=None, photos_description=None):
    """Analyze site observations and flag issues."""
    combined = f"{observations} {photos_description or ''}"
    issues = []
    total_impact = 0
    for pattern, info in ISSUE_PATTERNS.items():
        if re.search(pattern, combined, re.I):
            issues.append({
                "category": info["category"],
                "severity": info["severity"],
                "estimated_cost_impact": info["cost_impact"],
                "matched": re.search(pattern, combined, re.I).group(0)
            })
            total_impact += info["cost_impact"]

    return {
        "job_id": job_id,
        "analyzed_at": now(),
        "observations": observations,
        "photos_description": photos_description,
        "issues_found": len(issues),
        "issues": issues,
        "total_cost_impact": total_impact,
        "recommendation": f"Add ${total_impact:,.0f} to estimate for remediation" if issues else "No significant issues detected"
    }

if __name__ == "__main__":
    if len(sys.argv) < 2: print(json.dumps({"error": "usage: site_analyzer.py <observations> [photos_desc]"}))
    else: print(json.dumps(analyze(sys.argv[1], photos_description=sys.argv[2] if len(sys.argv)>2 else None), indent=2))