cfapext

class CrimefinderPolygonAnalysis:
    def __init__(self, crimefinder_data):
        self.crimefinder_data = crimefinder_data  # Crimefinderapp database or API connection

    def analyze_polygon_activity(self, polygons):
        activity_reports = []
        for polygon in polygons:
            # Analyze polygon behavior based on geometric properties
            activity = self.analyze_behavior(polygon)
            
            # Cross-reference behavior with Crimefinderapp database
            crime_related_activity = self.cross_reference_with_crimefinder(activity)
            
            # Generate final activity report
            report = self.generate_activity_report(polygon, crime_related_activity)
            activity_reports.append(report)
        
        return activity_reports

    def analyze_behavior(self, polygon):
        # Analyze polygon for overlaps, movement patterns, etc.
        if polygon.is_moving_erratically():
            return "suspicious activity detected (erratic movement)"
        elif polygon.is_stationary_near_restricted_area():
            return "potential loitering near sensitive area"
        else:
            return "normal activity"

    def cross_reference_with_crimefinder(self, activity):
        # Check the Crimefinderapp database for any matching crime patterns
        if "suspicious activity" in activity:
            potential_crime = self.crimefinder_data.search_for_similar_crime_patterns(activity)
            if potential_crime:
                return potential_crime
        return "no crime-related activity detected"
    
    def generate_activity_report(self, polygon, crime_related_activity):
        return f"Polygon {polygon.id}: {crime_related_activity}"