45 lines
2.1 KiB
Python
45 lines
2.1 KiB
Python
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"""Site walkthrough analyzer: structured report from observations."""
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import json, sys, os, re
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sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
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from lib.db import now
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# Issue patterns to flag
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ISSUE_PATTERNS = {
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r"water\s*damage|moisture|leak|mold": {"severity": "high", "category": "water_damage", "cost_impact": 1200},
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r"crack|structural|foundation\s*issue|settling": {"severity": "high", "category": "structural", "cost_impact": 3000},
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r"rot|decay|termite|pest": {"severity": "high", "category": "pest_damage", "cost_impact": 2000},
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r"asbestos|lead\s*paint|hazmat": {"severity": "critical", "category": "hazmat", "cost_impact": 5000},
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r"outdated\s*wiring|knob.and.tube|electrical\s*issue": {"severity": "medium", "category": "electrical", "cost_impact": 2500},
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r"rust|corrosion|pipe": {"severity": "medium", "category": "plumbing", "cost_impact": 1500},
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}
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def analyze(observations, job_id=None, photos_description=None):
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"""Analyze site observations and flag issues."""
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combined = f"{observations} {photos_description or ''}"
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issues = []
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total_impact = 0
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for pattern, info in ISSUE_PATTERNS.items():
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if re.search(pattern, combined, re.I):
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issues.append({
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"category": info["category"],
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"severity": info["severity"],
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"estimated_cost_impact": info["cost_impact"],
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"matched": re.search(pattern, combined, re.I).group(0)
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})
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total_impact += info["cost_impact"]
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return {
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"job_id": job_id,
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"analyzed_at": now(),
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"observations": observations,
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"photos_description": photos_description,
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"issues_found": len(issues),
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"issues": issues,
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"total_cost_impact": total_impact,
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"recommendation": f"Add ${total_impact:,.0f} to estimate for remediation" if issues else "No significant issues detected"
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}
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if __name__ == "__main__":
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if len(sys.argv) < 2: print(json.dumps({"error": "usage: site_analyzer.py <observations> [photos_desc]"}))
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else: print(json.dumps(analyze(sys.argv[1], photos_description=sys.argv[2] if len(sys.argv)>2 else None), indent=2))
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