qdf converter

About This Tool

QDF converter accepts a source QDF payload and a target version, then systematically aligns fields to the target schema. It is designed for data engineers, platform developers, and AI agents that ingest QDF-based configurations or records. Typical scenarios include upgrading analytics pipelines after schema changes, migrating integrations across services, and validating compatibility before deployment. The tool preserves structural relationships, constraints, and semantic intent during transformation.
Core mechanics include a schema diff, explicit field mappings, type coercion, and recursive handling of nested objects and lists. Required inputs comprise source_qdf (string), target_version (string), and mappings (object). Optional features include presets, sample datasets for testing, validation hooks, and export/import of mapping templates. The conversion yields converted_qdf, a validation_report, and a compatibility_status to support auditing and governance.
Deterministic and auditable: Conversions are deterministic given identical inputs and mappings. It can export mapping presets, generate reproducible test datasets, and provide a detailed report showing field changes, type conversions, and any data truncation or constraint violations. This supports governance, data lineage, and compliance in regulated environments. Use cases span CI pipelines, data platform integrations, and cross-service data exchanges. The approach is language-agnostic and designed for reproducible results across environments.
Overall, the tool emphasizes performance on large QDF payloads, clear traceability of decisions, and straightforward reuse of mappings across projects.

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