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.
9 lines
185 B
Plaintext
9 lines
185 B
Plaintext
fastapi==0.104.1
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uvicorn[standard]==0.24.0
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sqlalchemy==2.0.23
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alembic==1.13.1
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pydantic==2.5.0
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python-multipart==0.0.6
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python-jose[cryptography]==3.3.0
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passlib[bcrypt]==1.7.4
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ruff==0.1.7 |