使用自动设置区域间对等互连 AWS Transit Gateway

通过替换 AWS 区域 和存储桶名称来更新以下提示：

- Active region: ACTIVE_REGION
- Passive region: PASSIVE_REGION
- S3_BUCKET : my-lambda-packages-bucket 
- STACK_NAME : transit-gateway-peering 
- All Lambda functions use two boto3 EC2 clients at module level (one per region), each with signature_version v4 and retries max_attempts=1 mode=standard.
- Print all API responses for CloudWatch logging.

将其另存为 markdown 文件。

将这个 markdown 文件添加到你的 Kiro 项目中以获取上下文。

在你的 Kiro 项目中，输入以下提示：

Write a Python Lambda that creates a transit gateway peering attachment from active region  to passive region. Both of these regions will be read as environment variables of the Lambda function. Use two boto3 EC2 clients at the module level, one per Region. The handler should describe available transit gateways in both Regions. Then check if a peering attachment already exists on the active side by filtering describe_transit_gateway_attachments for resource-type "peering" and states: available, initiatingRequest, modifying, pendingAcceptance, pending, rejected, and rejecting. Only if zero results, create the peering attachment with tags for both Transit Gateway IDs, then wait 60 seconds (AWS needs this before the passive side can accept), then call accept_transit_gateway_peering_attachment on the passive client. Print all API responses.

将该文件命名为 peer-transit-gateway.py 并保存。

在你的 Kiro 项目中，输入以下提示：

Using the shared context above, write a Python Lambda that polls peering attachment status. Describe available transit gateways in both regions, then call describe_transit_gateway_attachments on the active client filtered by the active Transit Gateway ID only (no resource-type filter). Return exactly `{'status': status}` where status is the State field from the first attachment. Do not return statusCode or body — the Step Function Choice state reads `$.Payload.status` and compares to "available".

将该文件命名为 get-transit-gateway-peering-status.py 并保存。

在你的 Kiro 项目中，输入以下提示：

Using the shared context, write a Python Lambda that adds static routes to both regions' TGW route tables. Describe available transit gateways in both Regions, extract each transit gateway's AssociationDefaultRouteTableId. Discover routable VPCs by filtering describe_vpcs with tag `addtotransitgateway=true` in each region, collecting their CIDRs. Get the peering attachment ID from the active side by filtering on the active route table ID. For each passive CIDR, search the active route table using `route-search.exact-match` — only create the route if none found. For each active CIDR, search the passive route table using `route-search.supernet-of-match` (not exact-match — passive side may have supernet routes) — only create if none found. Both sides use the same peering attachment ID.

将此文件保存并命名为modify-transit-gateway-routes.py。

输入以下编排提示，这将创建 CloudFormation 模板：

Write a CloudFormation JSON template that deploys: three Lambda functions (peer-transit-gateway with 600s timeout, get-transit-gateway-peering-status with 30s timeout, modify-transit-gateway-routes with 600s timeout), Lambda code from an S3 bucket parameter (no default value — user must supply the bucket name at deploy time), a Step Functions state machine, and CloudWatch log groups with 90-day retention. The state machine flow is:

1. Invoke peer-transit-gateway
2. Wait 20 seconds (attachment needs time after the Lambda's internal 20s sleep + acceptance)
3. Invoke get-transit-gateway-peering-status
4. Choice: if `$.Payload.status` equals "available" → go to step 5, otherwise loop back to step 2
5. Invoke modify-transit-gateway-routes → End

Use `Fn::Sub` with Lambda ARN references like `${PeerTransitGateways.Arn}` in the DefinitionString. The polling loop has no max retry — it loops until "available" (typically 3-5 minutes total).

保存并将文件命名为 transit-gateway-peering.json。

监控 Step Functions 工作流程是否成功完成。有关说明，请参阅 Ste p Functions 文档。

验证 Transit Gateway 附件对等互连状态是否可用。有关说明，请参阅 T ransit Gateway 文档。