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.
41 lines
635 B
INI
41 lines
635 B
INI
[alembic]
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script_location = alembic
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prepend_sys_path = .
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version_path_separator = os
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sqlalchemy.url = sqlite:////app/storage/db/db.sqlite
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[post_write_hooks]
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[loggers]
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keys = root,sqlalchemy,alembic
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[handlers]
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keys = console
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[formatters]
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keys = generic
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[logger_root]
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level = WARN
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handlers = console
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qualname =
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[logger_sqlalchemy]
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level = WARN
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handlers =
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qualname = sqlalchemy.engine
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[logger_alembic]
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level = INFO
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handlers =
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qualname = alembic
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[handler_console]
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class = StreamHandler
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args = (sys.stderr,)
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level = NOTSET
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formatter = generic
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[formatter_generic]
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format = %(levelname)-5.5s [%(name)s] %(message)s
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datefmt = %H:%M:%S |