Prove reference journey compositions
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This commit is contained in:
2026-08-06 12:42:20 +02:00
parent 8bdf7b5f7e
commit 69ba1037bf
9 changed files with 383 additions and 17 deletions
@@ -12,7 +12,7 @@ review.
1. Register a typed datasource with source authority, purpose, classification,
owner, freshness, and correction policy.
2. Acquire or upload an immutable source state.
3. execute a versioned flow and retain intermediate materializations and
3. Execute a versioned flow and retain intermediate materializations and
provenance;
4. publish a report or decision input against exact source and flow revisions;
5. link obligation, governed object, risk, control, evidence, finding,
@@ -39,3 +39,24 @@ The artifact remains a `product` package. Promotion to `reference` requires:
Optional Connectors, Files, Notifications, and Workflow Engine integrations
must remain capability-based and absence-safe.
## Executable evidence
- `tools/checks/check-datasource-composition.py` composes Connector snapshots,
governed Datasources, queued Dataflow execution, frozen publication,
idempotent replay, and recovery evidence.
- `govoplan-dataflow/fixtures/golden/monthly-reconciliation` pins synthetic
monthly inputs, stable reconciliation hashes, reviewed decisions, expected
output, source fingerprints, and output hashes.
- `tools/checks/check-sanctions-screening-composition.py` composes an immutable
Connector acquisition, idempotent Risk Compliance import and screening,
independent disposition, a cleared gate, changed-source invalidation, and
the rescreening queue through the registered versioned capabilities.
- `govoplan-dataflow/fixtures/golden/sanctions-screening` independently proves
the deterministic normalization and matching graph with exact expected
output.
These checks use synthetic data and run without network access. They prove the
module contracts and durable state transitions; they do not replace the
deployment, security, privacy, accessibility, and operator evidence still
listed above.