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# 使用 IAM 身分驗證搭配 Gremlin Python 連線至 Amazon Neptune 資料庫
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## 概觀
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 本指南示範如何使用 Gremlin Python 驅動程式、Signature Version 4 身分驗證和 AWS SDK for Python (Boto3) 來連線至已啟用 IAM 身分驗證的 Amazon Neptune 資料庫。

## 建立基本連線
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 使用以下程式碼範例作為如何使用 Gremlin Python 驅動程式與 IAM 身分驗證建立基本連線的指引。

```
from boto3 import Session
from botocore.auth import SigV4Auth
from botocore.awsrequest import AWSRequest

from gremlin_python.process.anonymous_traversal import traversal
from gremlin_python.driver.driver_remote_connection import DriverRemoteConnection

def main():
    endpoint = 'your.cluster.endpoint.neptune.amazonaws.com'
    conn_string = 'wss://' + endpoint + ':8182/gremlin'
    default_region = 'us-east-1'
    service = 'neptune-db'

    credentials = Session().get_credentials()
    if credentials is None:
        raise Exception("No AWS credentials found")
    creds = credentials.get_frozen_credentials()
    # region set inside config profile or via AWS_DEFAULT_REGION environment variable will be loaded
    region = Session().region_name if Session().region_name else default_region

    request = AWSRequest(method='GET', url=conn_string, data=None)
    SigV4Auth(creds, service, region).add_auth(request)

    rc = DriverRemoteConnection(conn_string, 'g', headers=request.headers.items())
    g = traversal().with_remote(rc)

    # simple query to verify connection
    count = g.V().count().next()
    print('Vertex count: ' + str(count))

    # cleanup
    rc.close()

if __name__ == "__main__":
    main()
```