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.
24 lines
509 B
Mako
24 lines
509 B
Mako
"""${message}
|
|
|
|
Revision ID: ${up_revision}
|
|
Revises: ${down_revision | comma,n}
|
|
Create Date: ${create_date}
|
|
|
|
"""
|
|
from alembic import op
|
|
import sqlalchemy as sa
|
|
${imports if imports else ""}
|
|
|
|
# revision identifiers, used by Alembic.
|
|
revision = ${repr(up_revision)}
|
|
down_revision = ${repr(down_revision)}
|
|
branch_labels = ${repr(branch_labels)}
|
|
depends_on = ${repr(depends_on)}
|
|
|
|
|
|
def upgrade() -> None:
|
|
${upgrades if upgrades else "pass"}
|
|
|
|
|
|
def downgrade() -> None:
|
|
${downgrades if downgrades else "pass"} |