本地堆栈Lambda调用在Windows上失败
本地堆栈Lambda调用在Windows上失败
提问于 2021-05-07 19:09:30
我有一个类似于Unable to invoke lambda function from localstack via aws cli的问题，但症状不同。SO中描述的解决方案对我不起作用。
我在Windows10上运行，安装了Docker、Terraform和LocalStack的最新版本(截至2021年4月/5月)。所有命令都将以管理员权限输入到Windows cmd窗口中，并设置为正确的工作文件夹。
我使用下面的docker-compose.yml使用docker-compose up -d启动本地堆栈
version: '3.2'
services:
localstack:
image: localstack/localstack-full:latest
container_name: localstack_serverless1
ports:
- '4566:4566'
- '8055:8080'
environment:
# - HOSTNAME_EXTERNAL=localstack
- COMPOSE_CONVERT_WINDOWS_PATHS=1
- DEBUG=1
- DATA_DIR=/tmp/localstack/data
- LAMBDA_EXECUTOR=docker
- START_WEB=1
#- DOCKER_HOST=unix:///var/run/docker.sock
volumes:
- './.localstack:/tmp/localstack'
- '/var/run/docker.sock:/var/run/docker.sock'
#- './docker.sock:/var/run/docker.sock'被注释掉的代码行是我尝试过的，但并没有起到什么作用。
然后，我使用以下输入运行terraform init和terraform apply：
terraform {
required_providers {
aws = {
source = "hashicorp/aws"
version = "~> 3.27"
}
}
required_version = ">= 0.14.9"
}
provider "aws" {
access_key = "mock_access_key"
region = "us-east-1"
s3_force_path_style = true
secret_key = "mock_secret_key"
skip_credentials_validation = true
skip_metadata_api_check = true
skip_requesting_account_id = true
# AWS Provider version held back for this issue:
# https://github.com/localstack/localstack/issues/1818
# (localstack's fix not released yet)
# version = "2.39.0"
endpoints {
apigateway = "http://localhost:4566"
cloudformation = "http://localhost:4566"
cloudwatch = "http://localhost:4566"
dynamodb = "http://localhost:4566"
ec2 = "http://localhost:4566"
es = "http://localhost:4566"
firehose = "http://localhost:4566"
iam = "http://localhost:4566"
kinesis = "http://localhost:4566"
lambda = "http://localhost:4566"
route53 = "http://localhost:4566"
redshift = "http://localhost:4566"
s3 = "http://localhost:4566"
secretsmanager = "http://localhost:4566"
ses = "http://localhost:4566"
sns = "http://localhost:4566"
sqs = "http://localhost:4566"
ssm = "http://localhost:4566"
stepfunctions = "http://localhost:4566"
sts = "http://localhost:4566"
}
}
resource "aws_s3_bucket" "serverless1_bucket1" {
bucket = "serverless1-bucket1"
acl = "private"
}
resource "aws_s3_bucket_object" "upload_code_lambda1" {
bucket = "serverless1-bucket1"
key = "v1.0.0/lambda1.zip"
source = "lambda1.zip"
depends_on = [aws_s3_bucket.serverless1_bucket1]
}
resource "aws_lambda_function" "serverless1_lambda1" {
function_name = "serverless1-lambda1"
# The bucket name as created earlier with "aws s3api create-bucket"
s3_bucket = "serverless1-bucket1"
s3_key = "v1.0.0/lambda1.zip"
# "lambda1" is the filename within the zip file (lambda1.js) and "handler"
# is the name of the property under which the handler function was
# exported in that file.
handler = "lambda1.handler"
runtime = "nodejs10.x"
role = aws_iam_role.lambda_exec.arn
# Ant Waters: I have added this to make lambda creation wait until the code has been uploaded. I'm not sure if it is needed or not.
depends_on = [aws_s3_bucket_object.upload_code_lambda1]
}
# IAM role which dictates what other AWS services the Lambda function
# may access.
resource "aws_iam_role" "lambda_exec" {
name = "serverless_example_lambda"
assume_role_policy = <<EOF
{
"Version": "2012-10-17",
"Statement": [
{
"Action": "sts:AssumeRole",
"Principal": {
"Service": "lambda.amazonaws.com"
},
"Effect": "Allow",
"Sid": ""
}
]
}
EOF
}
resource "aws_api_gateway_rest_api" "example" {
name = "ServerlessExample1"
description = "Terraform Serverless Application Example"
}
resource "aws_api_gateway_resource" "proxy" {
rest_api_id = aws_api_gateway_rest_api.example.id
parent_id = aws_api_gateway_rest_api.example.root_resource_id
path_part = "{proxy+}"
}
resource "aws_api_gateway_method" "proxy" {
rest_api_id = aws_api_gateway_rest_api.example.id
resource_id = aws_api_gateway_resource.proxy.id
http_method = "ANY"
authorization = "NONE"
}
resource "aws_api_gateway_integration" "lambda" {
rest_api_id = aws_api_gateway_rest_api.example.id
resource_id = aws_api_gateway_method.proxy.resource_id
http_method = aws_api_gateway_method.proxy.http_method
integration_http_method = "POST"
type = "AWS_PROXY"
uri = aws_lambda_function.serverless1_lambda1.invoke_arn
}
resource "aws_api_gateway_method" "proxy_root" {
rest_api_id = aws_api_gateway_rest_api.example.id
resource_id = aws_api_gateway_rest_api.example.root_resource_id
http_method = "ANY"
authorization = "NONE"
}
resource "aws_api_gateway_integration" "lambda_root" {
rest_api_id = aws_api_gateway_rest_api.example.id
resource_id = aws_api_gateway_method.proxy_root.resource_id
http_method = aws_api_gateway_method.proxy_root.http_method
integration_http_method = "POST"
type = "AWS_PROXY"
uri = aws_lambda_function.serverless1_lambda1.invoke_arn
}
resource "aws_api_gateway_deployment" "example" {
depends_on = [
aws_api_gateway_integration.lambda,
aws_api_gateway_integration.lambda_root,
]
rest_api_id = aws_api_gateway_rest_api.example.id
stage_name = "test"
}
resource "aws_lambda_permission" "apigw" {
statement_id = "AllowAPIGatewayInvoke"
action = "lambda:InvokeFunction"
function_name = aws_lambda_function.serverless1_lambda1.function_name
principal = "apigateway.amazonaws.com"
# The "/*/*" portion grants access from any method on any resource
# within the API Gateway REST API.
source_arn = "${aws_api_gateway_rest_api.example.execution_arn}/*/*"
}
output "base_url" {
value = aws_api_gateway_deployment.example.invoke_url
}网关的东西是从教程中抄袭过来的，我还不明白。
然后我可以在"https://app.localstack.cloud/resources“和"https://app.localstack.cloud/resources/gateway"”中看到lambda，并且在网关页面上有一个Invoke按钮。但是，当我按下这个按钮时，似乎什么都没有发生，除了CloudWatch中的错误日志：
类似地，我可以看到使用AWS CLI的函数，调用：
aws lambda get-function --function-name "serverless1-lambda1" --endpoint-url=http://localhost:4566它返回：
{
"Configuration": {
"FunctionName": "serverless1-lambda1",
"FunctionArn": "arn:aws:lambda:us-east-1:000000000000:function:serverless1-lambda1",
"Runtime": "nodejs10.x",
"Role": "arn:aws:iam::000000000000:role/serverless_example_lambda",
"Handler": "lambda1.handler",
"CodeSize": 342,
"Description": "",
"Timeout": 3,
"MemorySize": 128,
"LastModified": "2021-05-07T10:17:32.305+0000",
"CodeSha256": "qoP7ORF4AUC8VJWLR0bGGRRKGtNrQwRj2hCa1n+3wk4=",
"Version": "$LATEST",
"VpcConfig": {},
"TracingConfig": {
"Mode": "PassThrough"
},
"RevisionId": "ea163f0f-81ce-4b3a-a0d1-7b44379c6492",
"State": "Active",
"LastUpdateStatus": "Successful",
"PackageType": "Zip"
},
"Code": {
"Location": "http://localhost:4566/2015-03-31/functions/serverless1-lambda1/code"
},
"Tags": {}
}但是，当我尝试使用以下命令调用它时：
aws --endpoint-url=http://localhost:4566 lambda invoke --function-name "serverless1-lambda1" output.json结果是：
{
"errorMessage": "Lambda process returned error status code: 1. Result: . Output:\nUnable to find image 'lambci/lambda:nodejs10.x' locally\nError response from daemon: Get https://registry-1.docker.io/v2/: net/http: request canceled while waiting for connection (Client.Timeout exceeded while awaiting headers)\nmust specify at least one container source\njson: cannot unmarshal array into Go value of type types.ContainerJSON",
"errorType": "InvocationException",
"stackTrace": [
" File \"/opt/code/localstack/localstack/services/awslambda/lambda_api.py\", line 602, in run_lambda\n result = LAMBDA_EXECUTOR.execute(func_arn, func_details, event, context=context,\n",
" File \"/opt/code/localstack/localstack/services/awslambda/lambda_executors.py\", line 176, in execute\n return do_execute()\n",
" File \"/opt/code/localstack/localstack/services/awslambda/lambda_executors.py\", line 168, in do_execute\n return _run(func_arn=func_arn)\n",
" File \"/opt/code/localstack/localstack/utils/cloudwatch/cloudwatch_util.py\", line 149, in wrapped\n raise e\n",
" File \"/opt/code/localstack/localstack/utils/cloudwatch/cloudwatch_util.py\", line 145, in wrapped\n result = func(*args, **kwargs)\n",
" File \"/opt/code/localstack/localstack/services/awslambda/lambda_executors.py\", line 159, in _run\n raise e\n",
" File \"/opt/code/localstack/localstack/services/awslambda/lambda_executors.py\", line 147, in _run\n result = self._execute(func_arn, func_details, event, context, version)\n",
" File \"/opt/code/localstack/localstack/services/awslambda/lambda_executors.py\", line 325, in _execute\n result = self.run_lambda_executor(cmd, stdin, env_vars=environment, func_details=func_details)\n",
" File \"/opt/code/localstack/localstack/services/awslambda/lambda_executors.py\", line 231, in run_lambda_executor\n raise InvocationException('Lambda process returned error status code: %s. Result: %s. Output:\\n%s' %\n"
]
}Docker窗口跟踪显示：
localstack_serverless1 | 2021-05-07T10:59:50:WARNING:localstack.services.awslambda.lambda_executors: Empty event body specified for invocation of Lambda "arn:aws:lambda:us-east-1:000000000000:function:serverless1-lambda1"
localstack_serverless1 | 2021-05-07T10:59:50:INFO:localstack.services.awslambda.lambda_executors: Running lambda cmd: CONTAINER_ID="$(docker create -i -e AWS_REGION="$AWS_REGION" -e DOCKER_LAMBDA_USE_STDIN="$DOCKER_LAMBDA_USE_STDIN" -e LOCALSTACK_HOSTNAME="$LOCALSTACK_HOSTNAME" -e EDGE_PORT="$EDGE_PORT" -e _HANDLER="$_HANDLER" -e AWS_LAMBDA_FUNCTION_TIMEOUT="$AWS_LAMBDA_FUNCTION_TIMEOUT" -e AWS_LAMBDA_FUNCTION_NAME="$AWS_LAMBDA_FUNCTION_NAME" -e AWS_LAMBDA_FUNCTION_VERSION="$AWS_LAMBDA_FUNCTION_VERSION" -e AWS_LAMBDA_FUNCTION_INVOKED_ARN="$AWS_LAMBDA_FUNCTION_INVOKED_ARN" -e AWS_LAMBDA_COGNITO_IDENTITY="$AWS_LAMBDA_COGNITO_IDENTITY" -e NODE_TLS_REJECT_UNAUTHORIZED="$NODE_TLS_REJECT_UNAUTHORIZED" --rm "lambci/lambda:nodejs10.x" "lambda1.handler")";docker cp "/tmp/localstack/zipfile.9cb3ff88/." "$CONTAINER_ID:/var/task"; docker start -ai "$CONTAINER_ID";
localstack_serverless1 | 2021-05-07T11:00:05:DEBUG:localstack.services.awslambda.lambda_executors: Lambda arn:aws:lambda:us-east-1:000000000000:function:serverless1-lambda1 result / log output:
localstack_serverless1 |
localstack_serverless1 | > Unable to find image 'lambci/lambda:nodejs10.x' locally
localstack_serverless1 | > Error response from daemon: Get https://registry-1.docker.io/v2/: net/http: request canceled while waiting for connection (Client.Timeout exceeded while awaiting headers)
localstack_serverless1 | > must specify at least one container source
localstack_serverless1 | > json: cannot unmarshal array into Go value of type types.ContainerJSON
localstack_serverless1 | 2021-05-07T11:00:05:INFO:localstack.services.awslambda.lambda_api: Error executing Lambda function arn:aws:lambda:us-east-1:000000000000:function:serverless1-lambda1: Lambda process returned error status code: 1. Result: . Output:
localstack_serverless1 | Unable to find image 'lambci/lambda:nodejs10.x' locally
localstack_serverless1 | Error response from daemon: Get https://registry-1.docker.io/v2/: net/http: request canceled while waiting for connection (Client.Timeout exceeded while awaiting headers)
localstack_serverless1 | must specify at least one container source
localstack_serverless1 | json: cannot unmarshal array into Go value of type types.ContainerJSON Traceback (most recent call last):
localstack_serverless1 | File "/opt/code/localstack/localstack/services/awslambda/lambda_api.py", line 602, in run_lambda
localstack_serverless1 | result = LAMBDA_EXECUTOR.execute(func_arn, func_details, event, context=context,
localstack_serverless1 | File "/opt/code/localstack/localstack/services/awslambda/lambda_executors.py", line 176, in execute
localstack_serverless1 | return do_execute()
localstack_serverless1 | File "/opt/code/localstack/localstack/services/awslambda/lambda_executors.py", line 168, in do_execute
localstack_serverless1 | return _run(func_arn=func_arn)
localstack_serverless1 | File "/opt/code/localstack/localstack/utils/cloudwatch/cloudwatch_util.py", line 149, in wrapped
localstack_serverless1 | raise e
localstack_serverless1 | File "/opt/code/localstack/localstack/utils/cloudwatch/cloudwatch_util.py", line 145, in wrapped
localstack_serverless1 | result = func(*args, **kwargs)
localstack_serverless1 | File "/opt/code/localstack/localstack/services/awslambda/lambda_executors.py", line 159, in _run
localstack_serverless1 | raise e
localstack_serverless1 | File "/opt/code/localstack/localstack/services/awslambda/lambda_executors.py", line 147, in _run
localstack_serverless1 | result = self._execute(func_arn, func_details, event, context, version)
localstack_serverless1 | File "/opt/code/localstack/localstack/services/awslambda/lambda_executors.py", line 325, in _execute
localstack_serverless1 | result = self.run_lambda_executor(cmd, stdin, env_vars=environment, func_details=func_details)
localstack_serverless1 | File "/opt/code/localstack/localstack/services/awslambda/lambda_executors.py", line 231, in run_lambda_executor
localstack_serverless1 | raise InvocationException('Lambda process returned error status code: %s. Result: %s. Output:\n%s' %
localstack_serverless1 | localstack.services.awslambda.lambda_executors.InvocationException: Lambda process returned error status code: 1. Result: . Output:
localstack_serverless1 | Unable to find image 'lambci/lambda:nodejs10.x' locally
localstack_serverless1 | Error response from daemon: Get https://registry-1.docker.io/v2/: net/http: request canceled while waiting for connection (Client.Timeout exceeded while awaiting headers)
localstack_serverless1 | must specify at least one container source
localstack_serverless1 | json: cannot unmarshal array into Go value of type types.ContainerJSON
localstack_serverless1 | 回答 1
Stack Overflow用户
发布于 2021-06-17 15:26:41
我通过将docker-compose.yml更改为以下代码来实现此功能：
version: '3.2'
services:
localstack:
image: localstack/localstack-full:latest
container_name: localstack_serverless1
ports:
- '4566:4566'
- '4571:4571'
- '8055:8080'
environment:
# - HOSTNAME_EXTERNAL=localstack
- COMPOSE_CONVERT_WINDOWS_PATHS=1
- DEBUG=1
- DATA_DIR=/tmp/localstack/data
- LAMBDA_EXECUTOR=docker
- START_WEB=1
- DOCKER_HOST=unix:///var/run/docker.sock
- HOST_TMP_FOLDER=./.localstack
volumes:
- './.localstack:/tmp/localstack'
- '/var/run/docker.sock:/var/run/docker.sock' # I don't understand what this corresponds to on my PC? But it is the only option I can get to work!最后一行非常奇怪，因为我不明白它在我的windows PC上映射到了什么？
页面原文内容由Stack Overflow提供。腾讯云小微IT领域专用引擎提供翻译支持
原文链接：
https://stackoverflow.com/questions/67433861
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