Ada lebih banyak contoh AWS SDK yang tersedia di repo Contoh [SDK AWS Doc](https://github.com/awsdocs/aws-doc-sdk-examples). GitHub
Terjemahan disediakan oleh mesin penerjemah. Jika konten terjemahan yang diberikan bertentangan dengan versi bahasa Inggris aslinya, utamakan versi bahasa Inggris.
# HealthLake contoh menggunakan SDK untuk Python (Boto3)
Contoh kode berikut menunjukkan cara melakukan tindakan dan menerapkan skenario umum dengan menggunakan AWS SDK untuk Python (Boto3) with HealthLake.
*Tindakan* merupakan kutipan kode dari program yang lebih besar dan harus dijalankan dalam konteks. Sementara tindakan menunjukkan cara memanggil fungsi layanan individual, Anda dapat melihat tindakan dalam konteks dalam skenario terkait.
Setiap contoh menyertakan tautan ke kode sumber lengkap, di mana Anda dapat menemukan instruksi tentang cara mengatur dan menjalankan kode dalam konteks.
**Topics**
+ [Tindakan](#actions)
## Tindakan
### `CreateFHIRDatastore`
Contoh kode berikut menunjukkan cara menggunakan`CreateFHIRDatastore`.
**SDK untuk Python (Boto3)**
```
@classmethod
def from_client(cls) -> "HealthLakeWrapper":
"""
Creates a HealthLakeWrapper instance with a default AWS HealthLake client.
:return: An instance of HealthLakeWrapper initialized with the default HealthLake client.
"""
health_lake_client = boto3.client("healthlake")
return cls(health_lake_client)
def create_fhir_datastore(
self,
datastore_name: str,
sse_configuration: dict[str, any] = None,
identity_provider_configuration: dict[str, any] = None,
) -> dict[str, str]:
"""
Creates a new HealthLake data store.
When creating a SMART on FHIR data store, the following parameters are required:
- sse_configuration: The server-side encryption configuration for a SMART on FHIR-enabled data store.
- identity_provider_configuration: The identity provider configuration for a SMART on FHIR-enabled data store.
:param datastore_name: The name of the data store.
:param sse_configuration: The server-side encryption configuration for a SMART on FHIR-enabled data store.
:param identity_provider_configuration: The identity provider configuration for a SMART on FHIR-enabled data store.
:return: A dictionary containing the data store information.
"""
try:
parameters = {"DatastoreName": datastore_name, "DatastoreTypeVersion": "R4"}
if (
sse_configuration is not None
and identity_provider_configuration is not None
):
# Creating a SMART on FHIR-enabled data store
parameters["SseConfiguration"] = sse_configuration
parameters[
"IdentityProviderConfiguration"
] = identity_provider_configuration
response = self.health_lake_client.create_fhir_datastore(**parameters)
return response
except ClientError as err:
logger.exception(
"Couldn't create data store %s. Here's why %s",
datastore_name,
err.response["Error"]["Message"],
)
raise
```
Kode berikut menunjukkan contoh parameter untuk SMART pada penyimpanan data berkemampuan FHIR HealthLake .
```
sse_configuration = {
"KmsEncryptionConfig": {"CmkType": "AWS_OWNED_KMS_KEY"}
}
# TODO: Update the metadata to match your environment.
metadata = {
"issuer": "https://ehr.example.com",
"jwks_uri": "https://ehr.example.com/.well-known/jwks.json",
"authorization_endpoint": "https://ehr.example.com/auth/authorize",
"token_endpoint": "https://ehr.token.com/auth/token",
"token_endpoint_auth_methods_supported": [
"client_secret_basic",
"foo",
],
"grant_types_supported": ["client_credential", "foo"],
"registration_endpoint": "https://ehr.example.com/auth/register",
"scopes_supported": ["openId", "profile", "launch"],
"response_types_supported": ["code"],
"management_endpoint": "https://ehr.example.com/user/manage",
"introspection_endpoint": "https://ehr.example.com/user/introspect",
"revocation_endpoint": "https://ehr.example.com/user/revoke",
"code_challenge_methods_supported": ["S256"],
"capabilities": [
"launch-ehr",
"sso-openid-connect",
"client-public",
],
}
# TODO: Update the IdpLambdaArn.
identity_provider_configuration = {
"AuthorizationStrategy": "SMART_ON_FHIR_V1",
"FineGrainedAuthorizationEnabled": True,
"IdpLambdaArn": "arn:aws:lambda:your-region:your-account-id:function:your-lambda-name",
"Metadata": json.dumps(metadata),
}
data_store = self.create_fhir_datastore(
datastore_name, sse_configuration, identity_provider_configuration
)
```
+ Untuk detail API, lihat [Membuat FHIRDatastore](https://docs.aws.amazon.com/goto/boto3/healthlake-2017-07-01/CreateFHIRDatastore) di *AWS SDK for Python (Boto3) Referensi* API.
Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/healthlake#code-examples).
### `DeleteFHIRDatastore`
Contoh kode berikut menunjukkan cara menggunakan`DeleteFHIRDatastore`.
**SDK untuk Python (Boto3)**
```
@classmethod
def from_client(cls) -> "HealthLakeWrapper":
"""
Creates a HealthLakeWrapper instance with a default AWS HealthLake client.
:return: An instance of HealthLakeWrapper initialized with the default HealthLake client.
"""
health_lake_client = boto3.client("healthlake")
return cls(health_lake_client)
def delete_fhir_datastore(self, datastore_id: str) -> None:
"""
Deletes a HealthLake data store.
:param datastore_id: The data store ID.
"""
try:
self.health_lake_client.delete_fhir_datastore(DatastoreId=datastore_id)
except ClientError as err:
logger.exception(
"Couldn't delete data store with ID %s. Here's why %s",
datastore_id,
err.response["Error"]["Message"],
)
raise
```
+ Untuk detail API, lihat [Menghapus FHIRDatastore](https://docs.aws.amazon.com/goto/boto3/healthlake-2017-07-01/DeleteFHIRDatastore) di *AWS SDK for Python (Boto3) Referensi* API.
Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/healthlake#code-examples).
### `DescribeFHIRDatastore`
Contoh kode berikut menunjukkan cara menggunakan`DescribeFHIRDatastore`.
**SDK untuk Python (Boto3)**
```
@classmethod
def from_client(cls) -> "HealthLakeWrapper":
"""
Creates a HealthLakeWrapper instance with a default AWS HealthLake client.
:return: An instance of HealthLakeWrapper initialized with the default HealthLake client.
"""
health_lake_client = boto3.client("healthlake")
return cls(health_lake_client)
def describe_fhir_datastore(self, datastore_id: str) -> dict[str, any]:
"""
Describes a HealthLake data store.
:param datastore_id: The data store ID.
:return: The data store description.
"""
try:
response = self.health_lake_client.describe_fhir_datastore(
DatastoreId=datastore_id
)
return response["DatastoreProperties"]
except ClientError as err:
logger.exception(
"Couldn't describe data store with ID %s. Here's why %s",
datastore_id,
err.response["Error"]["Message"],
)
raise
```
+ Untuk detail API, lihat [Menjelaskan FHIRDatastore](https://docs.aws.amazon.com/goto/boto3/healthlake-2017-07-01/DescribeFHIRDatastore) dalam *AWS SDK for Python (Boto3) Referensi* API.
Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/healthlake#code-examples).
### `DescribeFHIRExportJob`
Contoh kode berikut menunjukkan cara menggunakan`DescribeFHIRExportJob`.
**SDK untuk Python (Boto3)**
```
@classmethod
def from_client(cls) -> "HealthLakeWrapper":
"""
Creates a HealthLakeWrapper instance with a default AWS HealthLake client.
:return: An instance of HealthLakeWrapper initialized with the default HealthLake client.
"""
health_lake_client = boto3.client("healthlake")
return cls(health_lake_client)
def describe_fhir_export_job(
self, datastore_id: str, job_id: str
) -> dict[str, any]:
"""
Describes a HealthLake export job.
:param datastore_id: The data store ID.
:param job_id: The export job ID.
:return: The export job description.
"""
try:
response = self.health_lake_client.describe_fhir_export_job(
DatastoreId=datastore_id, JobId=job_id
)
return response["ExportJobProperties"]
except ClientError as err:
logger.exception(
"Couldn't describe export job with ID %s. Here's why %s",
job_id,
err.response["Error"]["Message"],
)
raise
```
+ Untuk detail API, lihat [Menjelaskan FHIRExport Pekerjaan](https://docs.aws.amazon.com/goto/boto3/healthlake-2017-07-01/DescribeFHIRExportJob) dalam *AWS SDK untuk Referensi API Python (Boto3*).
Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/healthlake#code-examples).
### `DescribeFHIRImportJob`
Contoh kode berikut menunjukkan cara menggunakan`DescribeFHIRImportJob`.
**SDK untuk Python (Boto3)**
```
@classmethod
def from_client(cls) -> "HealthLakeWrapper":
"""
Creates a HealthLakeWrapper instance with a default AWS HealthLake client.
:return: An instance of HealthLakeWrapper initialized with the default HealthLake client.
"""
health_lake_client = boto3.client("healthlake")
return cls(health_lake_client)
def describe_fhir_import_job(
self, datastore_id: str, job_id: str
) -> dict[str, any]:
"""
Describes a HealthLake import job.
:param datastore_id: The data store ID.
:param job_id: The import job ID.
:return: The import job description.
"""
try:
response = self.health_lake_client.describe_fhir_import_job(
DatastoreId=datastore_id, JobId=job_id
)
return response["ImportJobProperties"]
except ClientError as err:
logger.exception(
"Couldn't describe import job with ID %s. Here's why %s",
job_id,
err.response["Error"]["Message"],
)
raise
```
+ Untuk detail API, lihat [Menjelaskan FHIRImport Pekerjaan](https://docs.aws.amazon.com/goto/boto3/healthlake-2017-07-01/DescribeFHIRImportJob) dalam *AWS SDK untuk Referensi API Python (Boto3*).
Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/healthlake#code-examples).
### `ListFHIRDatastores`
Contoh kode berikut menunjukkan cara menggunakan`ListFHIRDatastores`.
**SDK untuk Python (Boto3)**
```
@classmethod
def from_client(cls) -> "HealthLakeWrapper":
"""
Creates a HealthLakeWrapper instance with a default AWS HealthLake client.
:return: An instance of HealthLakeWrapper initialized with the default HealthLake client.
"""
health_lake_client = boto3.client("healthlake")
return cls(health_lake_client)
def list_fhir_datastores(self) -> list[dict[str, any]]:
"""
Lists all HealthLake data stores.
:return: A list of data store descriptions.
"""
try:
next_token = None
datastores = []
# Loop through paginated results.
while True:
parameters = {}
if next_token is not None:
parameters["NextToken"] = next_token
response = self.health_lake_client.list_fhir_datastores(**parameters)
datastores.extend(response["DatastorePropertiesList"])
if "NextToken" in response:
next_token = response["NextToken"]
else:
break
return datastores
except ClientError as err:
logger.exception(
"Couldn't list data stores. Here's why %s", err.response["Error"]["Message"]
)
raise
```
+ Untuk detail API, lihat [Daftar FHIRDatastores](https://docs.aws.amazon.com/goto/boto3/healthlake-2017-07-01/ListFHIRDatastores) di *AWS SDK for Python (Boto3) Referensi* API.
Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/healthlake#code-examples).
### `ListFHIRExportJobs`
Contoh kode berikut menunjukkan cara menggunakan`ListFHIRExportJobs`.
**SDK untuk Python (Boto3)**
```
@classmethod
def from_client(cls) -> "HealthLakeWrapper":
"""
Creates a HealthLakeWrapper instance with a default AWS HealthLake client.
:return: An instance of HealthLakeWrapper initialized with the default HealthLake client.
"""
health_lake_client = boto3.client("healthlake")
return cls(health_lake_client)
def list_fhir_export_jobs(
self,
datastore_id: str,
job_name: str = None,
job_status: str = None,
submitted_before: datetime = None,
submitted_after: datetime = None,
) -> list[dict[str, any]]:
"""
Lists HealthLake export jobs satisfying the conditions.
:param datastore_id: The data store ID.
:param job_name: The export job name.
:param job_status: The export job status.
:param submitted_before: The export job submitted before the specified date.
:param submitted_after: The export job submitted after the specified date.
:return: A list of export jobs.
"""
try:
parameters = {"DatastoreId": datastore_id}
if job_name is not None:
parameters["JobName"] = job_name
if job_status is not None:
parameters["JobStatus"] = job_status
if submitted_before is not None:
parameters["SubmittedBefore"] = submitted_before
if submitted_after is not None:
parameters["SubmittedAfter"] = submitted_after
next_token = None
jobs = []
# Loop through paginated results.
while True:
if next_token is not None:
parameters["NextToken"] = next_token
response = self.health_lake_client.list_fhir_export_jobs(**parameters)
jobs.extend(response["ExportJobPropertiesList"])
if "NextToken" in response:
next_token = response["NextToken"]
else:
break
return jobs
except ClientError as err:
logger.exception(
"Couldn't list export jobs. Here's why %s",
err.response["Error"]["Message"],
)
raise
```
+ Untuk detail API, lihat [Daftar FHIRExport Lowongan](https://docs.aws.amazon.com/goto/boto3/healthlake-2017-07-01/ListFHIRExportJobs) di *AWS SDK for Python (Boto3) Referensi* API.
Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/healthlake#code-examples).
### `ListFHIRImportJobs`
Contoh kode berikut menunjukkan cara menggunakan`ListFHIRImportJobs`.
**SDK untuk Python (Boto3)**
```
@classmethod
def from_client(cls) -> "HealthLakeWrapper":
"""
Creates a HealthLakeWrapper instance with a default AWS HealthLake client.
:return: An instance of HealthLakeWrapper initialized with the default HealthLake client.
"""
health_lake_client = boto3.client("healthlake")
return cls(health_lake_client)
def list_fhir_import_jobs(
self,
datastore_id: str,
job_name: str = None,
job_status: str = None,
submitted_before: datetime = None,
submitted_after: datetime = None,
) -> list[dict[str, any]]:
"""
Lists HealthLake import jobs satisfying the conditions.
:param datastore_id: The data store ID.
:param job_name: The import job name.
:param job_status: The import job status.
:param submitted_before: The import job submitted before the specified date.
:param submitted_after: The import job submitted after the specified date.
:return: A list of import jobs.
"""
try:
parameters = {"DatastoreId": datastore_id}
if job_name is not None:
parameters["JobName"] = job_name
if job_status is not None:
parameters["JobStatus"] = job_status
if submitted_before is not None:
parameters["SubmittedBefore"] = submitted_before
if submitted_after is not None:
parameters["SubmittedAfter"] = submitted_after
next_token = None
jobs = []
# Loop through paginated results.
while True:
if next_token is not None:
parameters["NextToken"] = next_token
response = self.health_lake_client.list_fhir_import_jobs(**parameters)
jobs.extend(response["ImportJobPropertiesList"])
if "NextToken" in response:
next_token = response["NextToken"]
else:
break
return jobs
except ClientError as err:
logger.exception(
"Couldn't list import jobs. Here's why %s",
err.response["Error"]["Message"],
)
raise
```
+ Untuk detail API, lihat [Daftar FHIRImport Lowongan](https://docs.aws.amazon.com/goto/boto3/healthlake-2017-07-01/ListFHIRImportJobs) di *AWS SDK for Python (Boto3) Referensi* API.
Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/healthlake#code-examples).
### `ListTagsForResource`
Contoh kode berikut menunjukkan cara menggunakan`ListTagsForResource`.
**SDK untuk Python (Boto3)**
```
@classmethod
def from_client(cls) -> "HealthLakeWrapper":
"""
Creates a HealthLakeWrapper instance with a default AWS HealthLake client.
:return: An instance of HealthLakeWrapper initialized with the default HealthLake client.
"""
health_lake_client = boto3.client("healthlake")
return cls(health_lake_client)
def list_tags_for_resource(self, resource_arn: str) -> dict[str, str]:
"""
Lists the tags for a HealthLake resource.
:param resource_arn: The resource ARN.
:return: The tags for the resource.
"""
try:
response = self.health_lake_client.list_tags_for_resource(
ResourceARN=resource_arn
)
return response["Tags"]
except ClientError as err:
logger.exception(
"Couldn't list tags for resource %s. Here's why %s",
resource_arn,
err.response["Error"]["Message"],
)
raise
```
+ Untuk detail API, lihat [ListTagsForResource](https://docs.aws.amazon.com/goto/boto3/healthlake-2017-07-01/ListTagsForResource)di *AWS SDK for Python (Boto3) Referensi* API.
Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/healthlake#code-examples).
### `StartFHIRExportJob`
Contoh kode berikut menunjukkan cara menggunakan`StartFHIRExportJob`.
**SDK untuk Python (Boto3)**
```
@classmethod
def from_client(cls) -> "HealthLakeWrapper":
"""
Creates a HealthLakeWrapper instance with a default AWS HealthLake client.
:return: An instance of HealthLakeWrapper initialized with the default HealthLake client.
"""
health_lake_client = boto3.client("healthlake")
return cls(health_lake_client)
def start_fhir_export_job(
self,
job_name: str,
datastore_id: str,
output_s3_uri: str,
kms_key_id: str,
data_access_role_arn: str,
) -> dict[str, str]:
"""
Starts a HealthLake export job.
:param job_name: The export job name.
:param datastore_id: The data store ID.
:param output_s3_uri: The output S3 URI.
:param kms_key_id: The KMS key ID associated with the output S3 bucket.
:param data_access_role_arn: The data access role ARN.
:return: The export job.
"""
try:
response = self.health_lake_client.start_fhir_export_job(
OutputDataConfig={
"S3Configuration": {"S3Uri": output_s3_uri, "KmsKeyId": kms_key_id}
},
DataAccessRoleArn=data_access_role_arn,
DatastoreId=datastore_id,
JobName=job_name,
)
return response
except ClientError as err:
logger.exception(
"Couldn't start export job. Here's why %s",
err.response["Error"]["Message"],
)
raise
```
+ Untuk detail API, lihat [Memulai FHIRExport Job](https://docs.aws.amazon.com/goto/boto3/healthlake-2017-07-01/StartFHIRExportJob) di *AWS SDK for Python (Boto3) Referensi* API.
Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/healthlake#code-examples).
### `StartFHIRImportJob`
Contoh kode berikut menunjukkan cara menggunakan`StartFHIRImportJob`.
**SDK untuk Python (Boto3)**
```
@classmethod
def from_client(cls) -> "HealthLakeWrapper":
"""
Creates a HealthLakeWrapper instance with a default AWS HealthLake client.
:return: An instance of HealthLakeWrapper initialized with the default HealthLake client.
"""
health_lake_client = boto3.client("healthlake")
return cls(health_lake_client)
def start_fhir_import_job(
self,
job_name: str,
datastore_id: str,
input_s3_uri: str,
job_output_s3_uri: str,
kms_key_id: str,
data_access_role_arn: str,
) -> dict[str, str]:
"""
Starts a HealthLake import job.
:param job_name: The import job name.
:param datastore_id: The data store ID.
:param input_s3_uri: The input S3 URI.
:param job_output_s3_uri: The job output S3 URI.
:param kms_key_id: The KMS key ID associated with the output S3 bucket.
:param data_access_role_arn: The data access role ARN.
:return: The import job.
"""
try:
response = self.health_lake_client.start_fhir_import_job(
JobName=job_name,
InputDataConfig={"S3Uri": input_s3_uri},
JobOutputDataConfig={
"S3Configuration": {
"S3Uri": job_output_s3_uri,
"KmsKeyId": kms_key_id,
}
},
DataAccessRoleArn=data_access_role_arn,
DatastoreId=datastore_id,
)
return response
except ClientError as err:
logger.exception(
"Couldn't start import job. Here's why %s",
err.response["Error"]["Message"],
)
raise
```
+ Untuk detail API, lihat [Memulai FHIRImport Job](https://docs.aws.amazon.com/goto/boto3/healthlake-2017-07-01/StartFHIRImportJob) di *AWS SDK for Python (Boto3) Referensi* API.
Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/healthlake#code-examples).
### `TagResource`
Contoh kode berikut menunjukkan cara menggunakan`TagResource`.
**SDK untuk Python (Boto3)**
```
@classmethod
def from_client(cls) -> "HealthLakeWrapper":
"""
Creates a HealthLakeWrapper instance with a default AWS HealthLake client.
:return: An instance of HealthLakeWrapper initialized with the default HealthLake client.
"""
health_lake_client = boto3.client("healthlake")
return cls(health_lake_client)
def tag_resource(self, resource_arn: str, tags: list[dict[str, str]]) -> None:
"""
Tags a HealthLake resource.
:param resource_arn: The resource ARN.
:param tags: The tags to add to the resource.
"""
try:
self.health_lake_client.tag_resource(ResourceARN=resource_arn, Tags=tags)
except ClientError as err:
logger.exception(
"Couldn't tag resource %s. Here's why %s",
resource_arn,
err.response["Error"]["Message"],
)
raise
```
+ Untuk detail API, lihat [TagResource](https://docs.aws.amazon.com/goto/boto3/healthlake-2017-07-01/TagResource)di *AWS SDK for Python (Boto3) Referensi* API.
Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/healthlake#code-examples).
### `UntagResource`
Contoh kode berikut menunjukkan cara menggunakan`UntagResource`.
**SDK untuk Python (Boto3)**
```
@classmethod
def from_client(cls) -> "HealthLakeWrapper":
"""
Creates a HealthLakeWrapper instance with a default AWS HealthLake client.
:return: An instance of HealthLakeWrapper initialized with the default HealthLake client.
"""
health_lake_client = boto3.client("healthlake")
return cls(health_lake_client)
def untag_resource(self, resource_arn: str, tag_keys: list[str]) -> None:
"""
Untags a HealthLake resource.
:param resource_arn: The resource ARN.
:param tag_keys: The tag keys to remove from the resource.
"""
try:
self.health_lake_client.untag_resource(
ResourceARN=resource_arn, TagKeys=tag_keys
)
except ClientError as err:
logger.exception(
"Couldn't untag resource %s. Here's why %s",
resource_arn,
err.response["Error"]["Message"],
)
raise
```
+ Untuk detail API, lihat [UntagResource](https://docs.aws.amazon.com/goto/boto3/healthlake-2017-07-01/UntagResource)di *AWS SDK for Python (Boto3) Referensi* API.
Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankannya di [Repositori Contoh Kode AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/healthlake#code-examples).