D'autres exemples de AWS SDK sont disponibles dans le référentiel [AWS Doc SDK Examples](https://github.com/awsdocs/aws-doc-sdk-examples) GitHub .
Les traductions sont fournies par des outils de traduction automatique. En cas de conflit entre le contenu d'une traduction et celui de la version originale en anglais, la version anglaise prévaudra.
# HealthLake exemples utilisant le SDK pour Python (Boto3)
Les exemples de code suivants vous montrent comment effectuer des actions et implémenter des scénarios courants à l'aide du AWS SDK pour Python (Boto3) with HealthLake.
Les *actions* sont des extraits de code de programmes plus larges et doivent être exécutées dans leur contexte. Alors que les actions vous indiquent comment appeler des fonctions de service individuelles, vous pouvez les voir en contexte dans leurs scénarios associés.
Chaque exemple inclut un lien vers le code source complet, où vous trouverez des instructions sur la configuration et l’exécution du code en contexte.
**Topics**
+ [Actions](#actions)
## Actions
### `CreateFHIRDatastore`
L'exemple de code suivant montre comment utiliser`CreateFHIRDatastore`.
**Kit SDK for 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
```
Le code suivant montre un exemple de paramètres pour un magasin de données compatible SMART sur 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
)
```
+ Pour plus de détails sur l'API, consultez le [manuel de référence de l'API Create FHIRDatastore](https://docs.aws.amazon.com/goto/boto3/healthlake-2017-07-01/CreateFHIRDatastore) in *AWS SDK for Python (Boto3*).
Il y en a plus à ce sujet GitHub. Trouvez l’exemple complet et découvrez comment le configurer et l’exécuter dans le [référentiel d’exemples de code AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/healthlake#code-examples).
### `DeleteFHIRDatastore`
L'exemple de code suivant montre comment utiliser`DeleteFHIRDatastore`.
**Kit SDK for 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
```
+ Pour plus de détails sur l'API, consultez [le manuel de référence de l'API Delete FHIRDatastore](https://docs.aws.amazon.com/goto/boto3/healthlake-2017-07-01/DeleteFHIRDatastore) in *AWS SDK for Python (Boto3*).
Il y en a plus à ce sujet GitHub. Trouvez l’exemple complet et découvrez comment le configurer et l’exécuter dans le [référentiel d’exemples de code AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/healthlake#code-examples).
### `DescribeFHIRDatastore`
L'exemple de code suivant montre comment utiliser`DescribeFHIRDatastore`.
**Kit SDK for 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
```
+ Pour plus de détails sur l'API, voir [AWS Describe FHIRDatastore](https://docs.aws.amazon.com/goto/boto3/healthlake-2017-07-01/DescribeFHIRDatastore) *in SDK for Python (Boto3) API Reference*.
Il y en a plus à ce sujet GitHub. Trouvez l’exemple complet et découvrez comment le configurer et l’exécuter dans le [référentiel d’exemples de code AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/healthlake#code-examples).
### `DescribeFHIRExportJob`
L'exemple de code suivant montre comment utiliser`DescribeFHIRExportJob`.
**Kit SDK for 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
```
+ Pour plus de détails sur l'API, consultez le [manuel de référence de l'API Describe FHIRExport Job](https://docs.aws.amazon.com/goto/boto3/healthlake-2017-07-01/DescribeFHIRExportJob) in *AWS SDK for Python (Boto3*).
Il y en a plus à ce sujet GitHub. Trouvez l’exemple complet et découvrez comment le configurer et l’exécuter dans le [référentiel d’exemples de code AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/healthlake#code-examples).
### `DescribeFHIRImportJob`
L'exemple de code suivant montre comment utiliser`DescribeFHIRImportJob`.
**Kit SDK for 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
```
+ Pour plus de détails sur l'API, consultez le [manuel de référence de l'API Describe FHIRImport Job](https://docs.aws.amazon.com/goto/boto3/healthlake-2017-07-01/DescribeFHIRImportJob) in *AWS SDK for Python (Boto3*).
Il y en a plus à ce sujet GitHub. Trouvez l’exemple complet et découvrez comment le configurer et l’exécuter dans le [référentiel d’exemples de code AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/healthlake#code-examples).
### `ListFHIRDatastores`
L'exemple de code suivant montre comment utiliser`ListFHIRDatastores`.
**Kit SDK for 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
```
+ Pour plus de détails sur l'API, voir [Liste FHIRDatastores](https://docs.aws.amazon.com/goto/boto3/healthlake-2017-07-01/ListFHIRDatastores) dans le *AWS manuel de référence de l'API SDK for Python (Boto3*).
Il y en a plus à ce sujet GitHub. Trouvez l’exemple complet et découvrez comment le configurer et l’exécuter dans le [référentiel d’exemples de code AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/healthlake#code-examples).
### `ListFHIRExportJobs`
L'exemple de code suivant montre comment utiliser`ListFHIRExportJobs`.
**Kit SDK for 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
```
+ Pour plus de détails sur l'API, consultez le [manuel de référence de l'API List FHIRExport Jobs](https://docs.aws.amazon.com/goto/boto3/healthlake-2017-07-01/ListFHIRExportJobs) in *AWS SDK for Python (Boto3*).
Il y en a plus à ce sujet GitHub. Trouvez l’exemple complet et découvrez comment le configurer et l’exécuter dans le [référentiel d’exemples de code AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/healthlake#code-examples).
### `ListFHIRImportJobs`
L'exemple de code suivant montre comment utiliser`ListFHIRImportJobs`.
**Kit SDK for 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
```
+ Pour plus de détails sur l'API, consultez le [manuel de référence de l'API List FHIRImport Jobs](https://docs.aws.amazon.com/goto/boto3/healthlake-2017-07-01/ListFHIRImportJobs) in *AWS SDK for Python (Boto3*).
Il y en a plus à ce sujet GitHub. Trouvez l’exemple complet et découvrez comment le configurer et l’exécuter dans le [référentiel d’exemples de code AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/healthlake#code-examples).
### `ListTagsForResource`
L'exemple de code suivant montre comment utiliser`ListTagsForResource`.
**Kit SDK for 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
```
+ Pour plus de détails sur l'API, consultez [ListTagsForResource](https://docs.aws.amazon.com/goto/boto3/healthlake-2017-07-01/ListTagsForResource)le *AWS manuel de référence de l'API SDK for Python (Boto3*).
Il y en a plus à ce sujet GitHub. Trouvez l’exemple complet et découvrez comment le configurer et l’exécuter dans le [référentiel d’exemples de code AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/healthlake#code-examples).
### `StartFHIRExportJob`
L'exemple de code suivant montre comment utiliser`StartFHIRExportJob`.
**Kit SDK for 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
```
+ Pour plus de détails sur l'API, consultez [le manuel de référence de l'API Start FHIRExport Job](https://docs.aws.amazon.com/goto/boto3/healthlake-2017-07-01/StartFHIRExportJob) in *AWS SDK for Python (Boto3*).
Il y en a plus à ce sujet GitHub. Trouvez l’exemple complet et découvrez comment le configurer et l’exécuter dans le [référentiel d’exemples de code AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/healthlake#code-examples).
### `StartFHIRImportJob`
L'exemple de code suivant montre comment utiliser`StartFHIRImportJob`.
**Kit SDK for 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
```
+ Pour plus de détails sur l'API, consultez [le manuel de référence de l'API Start FHIRImport Job](https://docs.aws.amazon.com/goto/boto3/healthlake-2017-07-01/StartFHIRImportJob) in *AWS SDK for Python (Boto3*).
Il y en a plus à ce sujet GitHub. Trouvez l’exemple complet et découvrez comment le configurer et l’exécuter dans le [référentiel d’exemples de code AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/healthlake#code-examples).
### `TagResource`
L'exemple de code suivant montre comment utiliser`TagResource`.
**Kit SDK for 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
```
+ Pour plus de détails sur l'API, consultez [TagResource](https://docs.aws.amazon.com/goto/boto3/healthlake-2017-07-01/TagResource)le *AWS manuel de référence de l'API SDK for Python (Boto3*).
Il y en a plus à ce sujet GitHub. Trouvez l’exemple complet et découvrez comment le configurer et l’exécuter dans le [référentiel d’exemples de code AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/healthlake#code-examples).
### `UntagResource`
L'exemple de code suivant montre comment utiliser`UntagResource`.
**Kit SDK for 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
```
+ Pour plus de détails sur l'API, consultez [UntagResource](https://docs.aws.amazon.com/goto/boto3/healthlake-2017-07-01/UntagResource)le *AWS manuel de référence de l'API SDK for Python (Boto3*).
Il y en a plus à ce sujet GitHub. Trouvez l’exemple complet et découvrez comment le configurer et l’exécuter dans le [référentiel d’exemples de code AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/healthlake#code-examples).