DPMS Extractor

DPMS Extractor is designed for data engineers, governance analysts, auditors, and integration developers who work with DPMS documents describing data processing, components, and metrics. It reads source content and returns a structured representation of DPMS fields such as dpms_id, timestamp, components, metrics, and lineage. The tool emphasizes deterministic field extraction, schema alignment, and traceability, enabling repeatable processing across projects and environments. By standardizing the extraction, teams can compare results, validate compliance, and feed downstream pipelines with clean, machine-readable data.

Conceptually, the extractor applies pattern matching, date parsing, and conditional mapping to convert semi-structured texts into a canonical DPMS schema. It supports batch processing, configurable field mappings, and optional normalization of units. Users supply source content or files and, if needed, a custom DPMS schema. The core logic ensures fidelity by validating required fields and flagging mismatches for review.

Unique value lies in its domain-aware rules, built-in DPMS standards, and error handling that tolerates partial data while preserving maximum structured output. Typical use cases include data lineage audits, interface validation, migration preparation, and automated report generation. Outputs can feed data catalogs, quality dashboards, or ETL pipelines. This tool saves manual coding time and reduces errors in metadata extraction across complex DPMS implementations.