4730c37915
- Created FastAPI application with transaction ingestion endpoints - Built dynamic rule engine supporting velocity checks and aggregations - Implemented real-time and batch screening capabilities - Added rule management with versioning and rollback functionality - Created comprehensive audit and reporting endpoints with pagination - Set up SQLite database with proper migrations using Alembic - Added intelligent caching for aggregate computations - Included extensive API documentation and example rule definitions - Configured CORS, health endpoints, and proper error handling - Added support for time-windowed aggregations (sum, count, avg, max, min) - Built background processing for high-volume batch screening - Implemented field-agnostic rule conditions with flexible operators Features include transaction ingestion, rule CRUD operations, real-time screening, batch processing, aggregation computations, and comprehensive reporting capabilities suitable for fintech fraud monitoring systems.
14 lines
401 B
Python
14 lines
401 B
Python
import os
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from typing import Optional
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class Settings:
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PROJECT_NAME: str = "Transaction Fraud Monitoring API"
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VERSION: str = "1.0.0"
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API_V1_STR: str = "/api/v1"
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DATABASE_URL: Optional[str] = os.getenv("DATABASE_URL")
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SECRET_KEY: str = os.getenv("SECRET_KEY", "your-secret-key-here")
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ALGORITHM: str = "HS256"
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ACCESS_TOKEN_EXPIRE_MINUTES: int = 30
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settings = Settings() |