检索使用已弃用运行时的 Lambda 函数的相关数据

import { LambdaClient, ListFunctionsCommand } from "@aws-sdk/client-lambda";
const lambdaClient = new LambdaClient();

const command = new ListFunctionsCommand({
    FunctionVersion: "ALL",
    MaxItems: 50
});
const response = await lambdaClient.send(command);

for (const f of response.Functions){
    if (f.Runtime == '<your_runtime>'){ // Use the runtime id, e.g. 'nodejs18.x' or 'python3.9'
        console.log(f.FunctionArn);
        // get the CloudWatch log group of the function to
        // use later for finding the last invocation date
        console.log(f.LoggingConfig.LogGroup);
    }   
}
// If your account has more functions than the specified
// MaxItems, use the returned pagination token in the 
// next request with the 'Marker' parameter
if ('NextMarker' in response){
    let paginationToken = response.NextMarker;
  }

import boto3
from botocore.exceptions import ClientError

def list_lambda_functions(target_runtime):

    lambda_client = boto3.client('lambda')
    
    response = lambda_client.list_functions(
        FunctionVersion='ALL',
        MaxItems=50
    )
    if not response['Functions']:
            print("No Lambda functions found")
    else: 
        for function in response['Functions']:   
            if function['PackageType']=='Zip' and function['Runtime'] == target_runtime: 
                print(function['FunctionArn'])
                # Print the CloudWatch log group of the function
                # to use later for finding last invocation date
                print(function['LoggingConfig']['LogGroup'])

    if 'NextMarker' in response:
       pagination_token = response['NextMarker']

if __name__ == "__main__":
    # Replace python3.12 with the appropriate runtime ID for your Lambda functions
    list_lambda_functions('python3.12')

import { CloudWatchLogsClient, DescribeLogStreamsCommand } from "@aws-sdk/client-cloudwatch-logs";
const cloudWatchLogsClient = new CloudWatchLogsClient();
const command = new DescribeLogStreamsCommand({
    logGroupName: '<your_log_group_name>',
    orderBy: 'LastEventTime',
    descending: true,
    limit: 1
});
try {
    const response = await cloudWatchLogsClient.send(command);
    const lastEventTimestamp = response.logStreams.length > 0 ? 
        response.logStreams[0].lastEventTimestamp : null;
    // Convert the UNIX timestamp to a human-readable format for display
    const date = new Date(lastEventTimestamp).toLocaleDateString();
    const time = new Date(lastEventTimestamp).toLocaleTimeString();
    console.log(`${date} ${time}`);
    
} catch (e){
    console.error('Log group not found.')
}

import boto3
from datetime import datetime

cloudwatch_logs_client  = boto3.client('logs')

response = cloudwatch_logs_client.describe_log_streams(
    logGroupName='<your_log_group_name>',
    orderBy='LastEventTime',
    descending=True,
    limit=1
)

try:
    if len(response['logStreams']) > 0:
        last_event_timestamp = response['logStreams'][0]['lastEventTimestamp']
        print(datetime.fromtimestamp(last_event_timestamp/1000)) # Convert timestamp from ms to seconds
    else:
        last_event_timestamp = None
except:
    print('Log group not found')

import { CloudWatchClient, GetMetricStatisticsCommand } from "@aws-sdk/client-cloudwatch";
const cloudWatchClient = new CloudWatchClient();
const command = new GetMetricStatisticsCommand({
    Namespace: 'AWS/Lambda',
    MetricName: 'Invocations',
    StartTime: new Date(Date.now()-86400*1000*14), // 14 days ago
    EndTime: new Date(Date.now()),
    Period: 86400 * 14, // 14 days.
    Statistics: ['Sum'],
    Dimensions: [{
        Name: 'FunctionName',
        Value: '<your_function_name>'
    }]
});
const response = await cloudWatchClient.send(command);
const invokesInLast14Days = response.Datapoints.length > 0 ? 
    response.Datapoints[0].Sum : 0;

console.log('Number of invocations: ' + invokesInLast14Days);

import boto3
from datetime import datetime, timedelta

cloudwatch_client = boto3.client('cloudwatch')

response = cloudwatch_client.get_metric_statistics(
    Namespace='AWS/Lambda',
    MetricName='Invocations',
    Dimensions=[
        {
            'Name': 'FunctionName',
            'Value': '<your_function_name>'
        },
    ],
    StartTime=datetime.now() - timedelta(days=14),
    EndTime=datetime.now(),
    Period=86400 * 14, # 14 days
    Statistics=[
        'Sum'
    ]
)

if len(response['Datapoints']) > 0:
    invokes_in_last_14_days = int(response['Datapoints'][0]['Sum'])
else:
    invokes_in_last_14_days = 0

print(f'Number of invocations: {invokes_in_last_14_days}')