lineage-analysis

# Lineage Analysis Trace downstream dependencies from a semantic model to all connected reports across the tenant. No admin permissions required -- workspace contributor access is sufficient. ## When to Use - Before modifying or deleting a semantic model, to understand impact - Auditing which reports are connected to a model and where they live - Identifying orphaned or test reports connected to production models - Cross-workspace dependency mapping ## Downstream Reports Run `scripts/get-downstream-reports.py` to find all reports bound to a semantic model. ```bash # By workspace and model name python3 scripts/get-downstream-reports.py "Workspace Name" "Model Name" # By dataset GUID directly python3 scripts/get-downstream-reports.py --dataset-id <guid> # JSON output for further processing python3 scripts/get-downstream-reports.py "Workspace" "Model" --json ``` **Requirements:** `azure-identity`, `requests` (`pip install azure-identity requests`). Authenticated via `DefaultAzureCredential` (works with `az login`, managed identity, or environment variables). **How it works:** Lists all workspaces the user can access, then queries each workspace's reports in parallel (8 workers) checking `datasetId`. Groups results by workspace. Typically completes in under 10 seconds for ~100 workspaces. **Permissions:** Workspace contributor or higher on any workspace to be scanned. Reports in workspaces without access will not appear. For full tenant coverage, use the `--dataset-id`...