我正在嘗試使用 boto3 和 ResourceGroupsTaggingAPI 下載所有帶有特定標簽的 ARN。當我應該獲得 80 個以上的 ARN 時，我正在過濾兩個標簽并獲得 8 個不同的 ARN。
**編輯：**我發現這是因為 API 限制。根據檔案，該 API 允許您從當前使用的區域獲取標簽。有沒有辦法從所有地區獲取標簽？
import boto3
import csv
class TagEditor:
def writeToCsv(self,writer, tag_list):
for resource in tag_list:
for tag in resource['Tags']:
row = dict(
ResourceArn=resource['ResourceARN'], TagKey=tag['Key'], TagValue=tag['Value'])
writer.writerow(row)
def main(self):
field_names = ['ResourceArn', 'TagKey', 'TagValue']
s3 = boto3.client('s3')
restag = boto3.client('resourcegroupstaggingapi')
with open('/tmp/tags.csv', 'w') as csvfile:
writer = csv.DictWriter(csvfile, quoting=csv.QUOTE_ALL,
delimiter=',', dialect='excel', fieldnames=field_names)
writer.writeheader()
# Filter for tag1
response_deployment = restag.get_resources(TagFilters=[{'Key':'tag1'}],ResourcesPerPage=100)
self.writeToCsv(writer, response_deployment['ResourceTagMappingList'])
while 'PaginationToken' in response_deployment and response_deployment['PaginationToken']:
token = response_deployment['PaginationToken']
response_deployment = restag.get_resources(TagFilters=[{'Key':'tag1'}], ResourcesPerPage=100, PaginationToken=token)
self.writeToCsv(writer, response_deployment['ResourceTagMappingList'])
# Filter for tag2
response_deployment = restag.get_resources(TagFilters=[{'Key':'tag2'}],ResourcesPerPage=100)
self.writeToCsv(writer, response_deployment['ResourceTagMappingList'])
while 'PaginationToken' in response_deployment and response_deployment['PaginationToken']:
token = response_deployment['PaginationToken']
response_deployment = restag.get_resources(TagFilters=[{'Key':'tag2'}], ResourcesPerPage=100, PaginationToken=token)
self.writeToCsv(writer, response_deployment['ResourceTagMappingList'])
s3.upload_file('/tmp/tags.csv', Bucket = 'my-bucket', Key = 'tags.csv')
uj5u.com熱心網友回復：
那是因為您在第一次通話中使用了 TagFilters 并在隨后的分頁通話中錯過了它們
分頁呼叫必須包含相同的引數集，包括后續呼叫的分頁標記
TagFilters=[{'Key':'tag1'}]使用分頁令牌包含在回圈內的 get_resources 呼叫中
遍歷每個區域并對所有區域進行 get_resources 呼叫
# List all regions
ec2_client = boto3.client('ec2')
regions = [region['RegionName'] for region in ec2_client.describe_regions()['Regions']]
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