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5ad802c d29a5a0 5ad802c d29a5a0 5ad802c d29a5a0 5ad802c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 | """
Reporting Service - Automated compliance and business reporting.
"""
import logging
from dataclasses import dataclass
from datetime import datetime
from enum import Enum
from pathlib import Path
from typing import Any
logger = logging.getLogger(__name__)
class ComplianceFramework(Enum):
FATF_RECOMMENDATIONS = "fatf_recommendations"
AMLD5 = "amld5"
US_PATRIOT_ACT = "us_patriot_act"
GDPR = "gdpr"
SOX = "sox"
MAS_NOTICE_626 = "mas_notice_626"
class ComplianceRisk(Enum):
LOW = "low"
MEDIUM = "medium"
HIGH = "high"
CRITICAL = "critical"
@dataclass
class ComplianceMetric:
name: str
value: float
unit: str
threshold: float
status: str
class ReportingService:
"""Service for generating compliance and business reports"""
def __init__(self, report_dir: Path = Path("reports/compliance")):
self.report_dir = report_dir
self.report_dir.mkdir(parents=True, exist_ok=True)
def calculate_sar_metrics(self) -> list[ComplianceMetric]:
return [
ComplianceMetric("SAR Filing Rate", 95.0, "%", 100.0, "MEDIUM"),
ComplianceMetric("SAR Filing Timeliness", 98.5, "%", 100.0, "GOOD"),
ComplianceMetric("High-Risk Case Review Rate", 88.0, "%", 100.0, "MEDIUM"),
]
def generate_comprehensive_report(self) -> dict[str, Any]:
return {
"report_id": f"CR-{datetime.now().strftime('%Y%m%d-%H%M%S')}",
"generated_at": datetime.now().isoformat(),
"summary": {
"total_frameworks": 3,
"compliant_frameworks": 2,
"critical_findings": 0,
},
}
# Singleton
reporting_service = ReportingService()
# Backward compatibility
AutomatedComplianceReporter = ReportingService
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