我无法使用 boto3 API 和 'endtime'
过滤器过滤出 lambda 函数的 logStreams或'logStreamNamePrefix'
过滤器。
这有效:
client = boto3.client('logs',
aws_access_key_id=aws_account['access_key'],
aws_secret_access_key=aws_account['secret_key'],
region_name=region)
logGroupName = '/aws/lambda/' + function_name
response = client.filter_log_events(
logGroupName=logGroupName,
startTime=int((datetime(2020, 1, 15)- datetime(1970, 1, 1)).total_seconds()), # epoch_time
)
但这些没有:
1.
response = client.filter_log_events(
logGroupName=logGroupName,
startTime=int((datetime(2020, 1, 15)- datetime(1970, 1, 1)).total_seconds()), # epoch_time
endTime=int((datetime(2020, 1, 31)- datetime(1970, 1, 1)).total_seconds())
)
ERROR: Empty list is returned, although log data is there for the specified time range
2.
response = client.filter_log_events(
logGroupName=logGroupName,
startTime=int((datetime(2020, 1, 15)- datetime(1970, 1, 1)).total_seconds()), # epoch_time
logStreamNamePrefix='^2020/01' # logs starting with this prefix
)
ERROR:
botocore.exceptions.ParamValidationError: Parameter validation failed:
Unknown parameter in input: "logStreamNamePrefix", must be one of: logGroupName, logStreamNames, startTime, endTime, filterPattern, nextToken, limit, interleaved
最佳答案
作为临时修复,我正在轮询所有响应,然后明确过滤它。
response = client.filter_log_events(
logGroupName=logGroupName,
startTime=int((datetime(2020, 1, 15)- datetime(1970, 1, 1)).total_seconds()), # epoch_time
)
filtered_response = list(filter(lambda x: x['logStreamName'].startswith('2020/01'), response['events']))
关于python - 无法筛选 aws lambda 函数的 boto3 日志流,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/60275792/