Skip to main content

fusion-bicc-schema-drift-detect

Detect schema drift in Oracle Fusion BICC extracted objects and rate findings by severity so Data Transforms and AI DP pipelines can remediate before load failures.

Aller à l'installation

Informations de source

Dépôt
oracle-samples/fusion-ai-skills
Dernière activité de la source
4 septembre 2026 à 17:06
Langue détectée de SKILL.md
anglais
Étoiles
5
Forks
1

Options d'installation

Le prompt qui vérifie d'abord la source est sélectionné par défaut. Vous pouvez passer à une commande directe ou télécharger une copie locale.

Vérifiez les fichiers source

Lisez SKILL.md et les fichiers associés affichés par SkillsMP avant de décider de l'installer.

Explorateur de fichiers
11 fichiers

Affichage de SKILL.md

SKILL.md
Instructions source · Aperçu en lecture seule
name
fusion-bicc-schema-drift-detect
description
Detect schema drift in Oracle Fusion BICC extracted objects and rate findings by severity so Data Transforms and AI DP pipelines can remediate before load failures.
compatibility
Requires Python 3.10+; optional PyYAML for YAML policy files; CSV input and JSON outputs.
metadata
{"author":"fusion-data-architecture","version":"1.0.0"}
allowed-tools
Bash(python:*) Read Write
## Copyright (c) 2026, Oracle and/or its affiliates. ## Licensed under the Universal Permissive License v 1.0 as shown at http://oss.oracle.com/licenses/upl # Fusion BICC Schema Drift Detection Use this skill when you need to detect structural drift in BICC extraction outputs and, optionally, compare current extraction shape to an ODT target schema contract. ## When to use - New quarterly Fusion update changed PVO structure. - Data Transforms mapping started failing with missing/renamed columns. - AI DP ingestion contracts need proactive compatibility checks. - You need a severity-rated report with clear remediation actions. ## Inputs - BICC CSV extracts for baseline and current runs. - Optional ODT target schema export (CSV with table/column/type/nullability). - Drift policy file (`assets/drift_policy.yaml`) to tune critical/high thresholds. ## Core workflow 1. Build schema snapshots from baseline and current BICC extracts. 2. (Optional) Build target schema contract snapshot from ODT metadata export. 3. Run schema drift detection in one of the modes: - `source_drift` (baseline vs current) - `target_contract` (current vs ODT contract) - `combined` (both) 4. Review `schema_drift_report.json`, focusing first on `critical` findings. ## Commands ```bash # 1) Build baseline and current schema snapshots python skills/fusion-bicc-schema-drift-detect/scripts/build_schema_snapshot.py \ --input-dir ./inputs/baseline \ --output ./outputs/baseline_schema_snapshot.json python skills/fusion-bicc-schema-drift-detect/scripts/build_schema_snapshot.py \ --input-dir ./inputs/current \ --output ./outputs/current_schema_snapshot.json # 2) Optional: build ODT target contract snapshot python skills/fusion-bicc-schema-drift-detect/scripts/build_target_contract_snapshot.py \ --input-csv ./inputs/odt_schema_export.csv \ --output ./outputs/odt_target_contract_snapshot.json # 3) Detect drift python skills/fusion-bicc-schema-drift-detect/scripts/detect_schema_drift.py \ --mode combined \ --baseline ./outputs/baseline_schema_snapshot.json \ --current ./outputs/current_schema_snapshot.json \ --target-contract ./outputs/odt_target_contract_snapshot.json \ --policy skills/fusion-bicc-schema-drift-detect/assets/drift_policy.yaml \ --output-json ./outputs/schema_drift_report.json \ --output-md ./outputs/schema_drift_report.md ``` ## Output - `schema_drift_report.json`: structured findings with severity and remediation. - `schema_drift_report.md`: human-readable summary with critical-first ordering. ## Critical examples - Required column removed. - Breaking datatype change for key/measure fields. - Current extraction incompatible with ODT target column datatype/nullability. See `references/schema-drift-taxonomy.md` and `references/odt-target-contract-mode.md` for domain guidance.
Voir sur GitHub