Manage Alibaba Cloud Data Lake Formation (DlfNext) via OpenAPI/SDK. Use whenever the user needs DLF Next catalog/governance resource operations, including li...
Data & analysis
Alibaba Cloud Data Lake DLF Next
Try itUse when managing Alibaba Cloud Data Lake Formation (DlfNext) via OpenAPI/SDK, including the user needs DLF Next catalog/governance resource operations, incl...
What it does
Use when managing Alibaba Cloud Data Lake Formation (DlfNext) via OpenAPI/SDK, including the user needs DLF Next catalog/governance resource operations, incl...
The skill document
Category: service
Data Lake Formation (Next)
Use Alibaba Cloud OpenAPI (RPC) with official SDKs or OpenAPI Explorer to manage resources for Data Lake Formation.
Workflow
- Confirm region, resource identifiers, and desired action.
- Discover API list and required parameters (see references).
- Call API with SDK or OpenAPI Explorer.
- Verify results with describe/list APIs.
AccessKey priority (must follow)
- Environment variables:
ALICLOUD_ACCESS_KEY_ID/ALICLOUD_ACCESS_KEY_SECRET/ALICLOUD_REGION_IDRegion policy:ALICLOUD_REGION_IDis an optional default. If unset, decide the most reasonable region for the task; if unclear, ask the user. - Shared config file:
~/.alibabacloud/credentials
API discovery
- Product code:
DlfNext - Default API version:
2025-03-10 - Use OpenAPI metadata endpoints to list APIs and get schemas (see references).
High-frequency operation patterns
- Inventory/list: prefer
List*/Describe*APIs to get current resources. - Change/configure: prefer
Create*/Update*/Modify*/Set*APIs for mutations. - Status/troubleshoot: prefer
Get*/Query*/Describe*StatusAPIs for diagnosis.
Minimal executable quickstart
Use metadata-first discovery before calling business APIs:
python scripts/list_openapi_meta_apis.py
Optional overrides:
python scripts/list_openapi_meta_apis.py --product-code --version
The script writes API inventory artifacts under the skill output directory.
Output policy
If you need to save responses or generated artifacts, write them under:
output/aliyun-dlf-manage-next/
Validation
mkdir -p output/aliyun-dlf-manage-next
for f in skills/data-lake/aliyun-dlf-manage-next/scripts/*.py; do
python3 -m py_compile "$f"
done
echo "py_compile_ok" > output/aliyun-dlf-manage-next/validate.txt
Pass criteria: command exits 0 and output/aliyun-dlf-manage-next/validate.txt is generated.
Output And Evidence
- Save artifacts, command outputs, and API response summaries under
output/aliyun-dlf-manage-next/. - Include key parameters (region/resource id/time range) in evidence files for reproducibility.
Prerequisites
- Configure least-privilege Alibaba Cloud credentials before execution.
- Prefer environment variables:
ALICLOUD_ACCESS_KEY_ID,ALICLOUD_ACCESS_KEY_SECRET, optionalALICLOUD_REGION_ID. - If region is unclear, ask the user before running mutating operations.
References
- Sources:
references/sources.md
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