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.
22 lines
387 B
Python
22 lines
387 B
Python
from fastapi import APIRouter
|
|
from app.api import transactions, rules, screening
|
|
|
|
router = APIRouter()
|
|
|
|
router.include_router(
|
|
transactions.router,
|
|
prefix="/transactions",
|
|
tags=["transactions"]
|
|
)
|
|
|
|
router.include_router(
|
|
rules.router,
|
|
prefix="/rules",
|
|
tags=["rules"]
|
|
)
|
|
|
|
router.include_router(
|
|
screening.router,
|
|
prefix="/screening",
|
|
tags=["screening"]
|
|
) |