alibabacloud-flink-instance-manage（阿里云 flink 实例管理）

Alibaba Cloud Flink Instance Manage

Operate Alibaba Cloud Flink VVP resources with a strict create/query scope through one wrapper script.

Scope and Entrypoint

• Always run operations through:

  python scripts/instance_ops.py <command> [options]

• Allowed commands: create, create_namespace, describe, describe_regions, describe_zones, describe_namespaces, list_tags
• Out of scope: update/delete, Flink SQL/job runtime operations, and non-Flink services

Trigger Rules

Use this skill when prompts are about Flink instance/namespace lifecycle operations.

• Positive intent examples:

- "Create a Flink instance in cn-beijing" - "List Flink instances and status" - "Describe namespaces for instance f-cn-xxx" - "查询 Flink 实例标签" - "Flink 可用区有哪些"

• Negative intent examples:

- ECS/Kafka/OSS/DataWorks operations - Generic questions (weather, translation, etc.) - Flink SQL / Flink job authoring or runtime tuning

• Ambiguous prompts:

- Ask one clarification question: instance/namespace management vs SQL/job operations.

Intent to Command Mapping

Operating Rules

1. Confirmation is mandatory for create commands

- create and create_namespace must include --confirm.

1. Verify create results with read-back

- Do not conclude success from create response alone.

1. Retry policy is strict

- Maximum 2 attempts for the same command (initial + one corrected retry).

1. No automatic operation switching

- If an operation fails, do not switch to a different operation without user approval.

1. Lifecycle target lock

- In create -> create_namespace flow, namespace must target the same newly created InstanceId unless user approves fallback.

1. Namespace pre-check is required

- Before create_namespace, check instance status/resources and existing namespace allocation.

1. No secret exposure

- Do not output or request plaintext AK/SK. Use default credential chain guidance.

1. Do not invent parameters

- Never fabricate VPC/VSwitch/instance IDs.

1. Keep auditable confirmation evidence

- Lifecycle outputs must contain SafetyCheckRequired or explicit --confirm evidence.

1. No partial-completion claims for lifecycle flows

- For flows requiring both create and create_namespace, overall status can be completed only when both create operations succeed.

1. No automatic capacity scaling

- If create_namespace fails due to insufficient resources, report it clearly and ask user to manually scale resources outside this skill scope.

Execution Protocol

Step 1: Classify request

• In-scope create/query for Flink instance/namespace/tag/region/zone -> continue.
• Out-of-scope or non-Flink -> reject or route with explanation.

Step 2: Validate parameters

• Apply references/parameter-validation.md.
• If required parameters are missing, ask user or return clear remediation.

Step 3: Execute command

• Query commands: run once unless transient query error.
• Create commands: construct final command string and verify --confirm is present before execution.

Step 4: Verify create outcomes

• For create: verify with describe --region_id <REGION>.
• For create_namespace: verify with describe_namespaces --region_id <REGION> --instance_id <ID>.
• Use up to 3 read checks with short backoff before concluding the create is not reflected yet.
• For chained create -> create_namespace:

- poll describe --region_id <REGION> on the same InstanceId every 30 seconds - max wait: 10 minutes - if still not RUNNING, stop and provide next action (wait/retry later) - do not switch to another instance without explicit user approval - if namespace create fails, mark lifecycle chain as failed/not_ready, not completed - for InsufficientResources, ask user to manually scale the instance and retry later

Key References

• Start here:

- references/README.md - references/quick-start.md - references/trigger-recognition-guide.md - references/core-execution-flow.md - references/command-templates.md

Output Format

All commands return JSON:

{
  "success": true,
  "operation": "<command>",
  "confirmation_check": {
    "required_flag": "--confirm",
    "provided": true,
    "status": "passed"
  },
  "data": {},
  "request_id": "..."
}

confirmation_check appears on create operations and is used for auditable safety evidence.

Exit codes: 0 = success, 1 = error.