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Data Ingestion Pipeline

Ingestion is a roadmap-critical but not yet implemented feature

Section titled “Ingestion is a roadmap-critical but not yet implemented feature”

The project vision depends on continuous and reliable ingestion of legal source content, but the current repository does not yet implement this pipeline.

🚧 Planned Feature — End-to-end ingestion from external legal sources is approved in planning but not present in code.

Expected stages:

  1. fetch source payloads from official providers;
  2. normalize and parse legal structure;
  3. persist into canonical schema (regulations, document_nodes, etc.);
  4. validate integrity and hierarchy consistency;
  5. emit freshness and failure telemetry.

Ingestion quality should include:

  • idempotent retries;
  • explicit freshness timestamping;
  • deterministic handling of partial failures.

Known legal edge cases include:

  • future-validity norms (vacatio legis);
  • partial vs total revocation chains;
  • overlapping amendments affecting the same article.

Success criteria for first production iteration

Section titled “Success criteria for first production iteration”

A credible first ingestion release should prove:

  • reproducible runs;
  • no duplicate legal nodes under canonical keys;
  • measurable source freshness reporting.