Terraform：验证错误...成员必须满足正则表达式模式：arn:aws:iam::

Posted 2023-04-14

【中文标题】Terraform：验证错误...成员必须满足正则表达式模式：arn:aws:iam::

【英文标题】：Terraform: Validation error ... Member must satisfy regular expression pattern: arn:aws:iam::

【发布时间】：2019-09-17 16:57:19

【问题描述】：

我正在尝试通过 kinesis 数据流传输 rds，但它给了我这个错误：

botocore.exceptions.ClientError：发生错误 (ValidationException) 调用 PutRecord 操作时：1 检测到验证错误：值 'arn:aws:kinesis:us-west-2:xxxxxxxxx:stream/rds-temp-leads-stream' 在 “streamName”未能满足约束：成员必须满足常规 表达模式：[a-zA-Z0-9_.-]+

我能做些什么来解决这个问题？

import json
import boto3
from datetime import datetime

from pymysqlreplication import BinLogStreamReader
from pymysqlreplication.row_event import (
  DeleteRowsEvent,
  UpdateRowsEvent,
  WriteRowsEvent,
)

class DateTimeEncoder(json.JSONEncoder):
    def default(self, o):
        if isinstance(o, datetime):
            return o.isoformat()

        return json.JSONEncoder.default(self, o)

def main():
  mysql = 
      "host": "",
      "port":,
      "user": "",
      "passwd": "",
      "db": ""
  kinesis = boto3.client("kinesis", region_name = 'us-west-2')

  stream = BinLogStreamReader(
    connection_settings = mysql,
    server_id=100,
    blocking = True,
    log_file='mysql-bin.000003',
    resume_stream=True,
    only_events=[DeleteRowsEvent, WriteRowsEvent, UpdateRowsEvent]) 
  for binlogevent in stream:
    for row in binlogevent.rows:
      print row
      event = "schema": binlogevent.schema,
      "table": binlogevent.table,
      "type": type(binlogevent).__name__,
      "row": row
      

      kinesis.put_record(StreamName="jhgjh", Data=json.dumps(event, cls=DateTimeEncoder), PartitionKey="default")
      #print json.dumps(event)

if __name__ == "__main__":
   main()

【参考方案1】：

从流名称中删除“arn:aws:kinesis:us-west-2:xxxxxxxxxx:stream/rds-temp-leads-stream”。只需将流的名称放在那里，例如“rds-temp-leads-stream”

【参考方案2】：

根据错误：

检测到 1 个验证错误：“streamName”处的值“arn:aws:kinesis:us-west-2:xxxxxxxxxx:stream/rds-temp-leads-stream”未能满足约束：成员必须满足正则表达式模式：[a-zA-Z0-9_.-]+

突出显示的值：arn:aws:kinesis:us-west-2:xxxxxxxxxx:stream/rds-temp-leads-stream 不匹配正则表达式 [a- zA-Z0-9_.-]+ 导致验证错误。

这是因为您不需要添加完整的 ARN，只需添加流的名称即可。即 rds-temp-leads-stream

我没有在代码中看到它，但很可能这一行出现了错误：

kinesis.put_record(StreamName="jhgjh", Data=json.dumps(event, cls=DateTimeEncoder), PartitionKey="default")

其中“StreamName”应遵循与上述相同的模式。参考可以在下面找到： https://docs.aws.amazon.com/kinesis/latest/APIReference/API_PutRecord.html

【参考方案3】：

就我而言，我还必须像这样删除地址中的子文件夹：

不正确

bucket='s3://image-video/image/'
photo='scene_academy.jpg'

client=boto3.client('rekognition')
response = client.detect_labels(Image='S3Object':'Bucket':bucket,'Name':photo,
        MaxLabels=10)

正确

bucket='image-video'
photo='image/scene_academy.jpg'

client=boto3.client('rekognition')
response = client.detect_labels(Image='S3Object':'Bucket':bucket,'Name':photo,
        MaxLabels=10)

运行时环境：AWS S3 存储桶