Sono disponibili altri esempi AWS SDK nel repository [AWS Doc SDK](https://github.com/awsdocs/aws-doc-sdk-examples) Examples. GitHub
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# HealthLake esempi che utilizzano SDK per Python (Boto3)
I seguenti esempi di codice mostrano come eseguire azioni e implementare scenari comuni utilizzando AWS SDK per Python (Boto3) with HealthLake.
Le *azioni* sono estratti di codice da programmi più grandi e devono essere eseguite nel contesto. Sebbene le azioni mostrino come richiamare le singole funzioni del servizio, è possibile visualizzarle contestualizzate negli scenari correlati.
Ogni esempio include un link al codice sorgente completo, in cui vengono fornite le istruzioni su come configurare ed eseguire il codice nel contesto.
**Topics**
+ [Azioni](#actions)
## Azioni
### `CreateFHIRDatastore`
Il seguente esempio di codice mostra come utilizzare`CreateFHIRDatastore`.
**SDK per 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
```
Il codice seguente mostra un esempio di parametri per un archivio dati SMART su 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
)
```
+ Per i dettagli sull'API, consulta [Create FHIRDatastore](https://docs.aws.amazon.com/goto/boto3/healthlake-2017-07-01/CreateFHIRDatastore) in *AWS SDK for Python (Boto3) API Reference*.
C'è di più su. GitHub Trova l'esempio completo e scopri di più sulla configurazione e l'esecuzione nel [Repository di esempi di codice AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/healthlake#code-examples).
### `DeleteFHIRDatastore`
Il seguente esempio di codice mostra come usare`DeleteFHIRDatastore`.
**SDK per 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
```
+ Per i dettagli sull'API, consulta [Delete FHIRDatastore](https://docs.aws.amazon.com/goto/boto3/healthlake-2017-07-01/DeleteFHIRDatastore) in *AWS SDK for Python (Boto3) API Reference*.
C'è di più su. GitHub Trova l'esempio completo e scopri di più sulla configurazione e l'esecuzione nel [Repository di esempi di codice AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/healthlake#code-examples).
### `DescribeFHIRDatastore`
Il seguente esempio di codice mostra come usare`DescribeFHIRDatastore`.
**SDK per 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
```
+ Per i dettagli sull'API, consulta [Descrivi FHIRDatastore](https://docs.aws.amazon.com/goto/boto3/healthlake-2017-07-01/DescribeFHIRDatastore) in *AWS SDK for Python (Boto3) API Reference*.
C'è di più su. GitHub Trova l'esempio completo e scopri di più sulla configurazione e l'esecuzione nel [Repository di esempi di codice AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/healthlake#code-examples).
### `DescribeFHIRExportJob`
Il seguente esempio di codice mostra come usare`DescribeFHIRExportJob`.
**SDK per 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
```
+ Per i dettagli sull'API, consulta [Descrivi FHIRExport Job](https://docs.aws.amazon.com/goto/boto3/healthlake-2017-07-01/DescribeFHIRExportJob) in *AWS SDK for Python (Boto3) API Reference*.
C'è di più su. GitHub Trova l'esempio completo e scopri di più sulla configurazione e l'esecuzione nel [Repository di esempi di codice AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/healthlake#code-examples).
### `DescribeFHIRImportJob`
Il seguente esempio di codice mostra come usare`DescribeFHIRImportJob`.
**SDK per 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
```
+ Per i dettagli sull'API, consulta [Descrivi FHIRImport Job](https://docs.aws.amazon.com/goto/boto3/healthlake-2017-07-01/DescribeFHIRImportJob) in *AWS SDK for Python (Boto3) API Reference*.
C'è di più su. GitHub Trova l'esempio completo e scopri di più sulla configurazione e l'esecuzione nel [Repository di esempi di codice AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/healthlake#code-examples).
### `ListFHIRDatastores`
Il seguente esempio di codice mostra come usare`ListFHIRDatastores`.
**SDK per 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
```
+ Per i dettagli sull'API, consulta [List FHIRDatastores](https://docs.aws.amazon.com/goto/boto3/healthlake-2017-07-01/ListFHIRDatastores) in *AWS SDK for Python (Boto3) API Reference*.
C'è di più su. GitHub Trova l'esempio completo e scopri di più sulla configurazione e l'esecuzione nel [Repository di esempi di codice AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/healthlake#code-examples).
### `ListFHIRExportJobs`
Il seguente esempio di codice mostra come usare`ListFHIRExportJobs`.
**SDK per 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
```
+ Per i dettagli sull'API, consulta [List FHIRExport Jobs](https://docs.aws.amazon.com/goto/boto3/healthlake-2017-07-01/ListFHIRExportJobs) in *AWS SDK for Python (Boto3) API Reference*.
C'è di più su. GitHub Trova l'esempio completo e scopri di più sulla configurazione e l'esecuzione nel [Repository di esempi di codice AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/healthlake#code-examples).
### `ListFHIRImportJobs`
Il seguente esempio di codice mostra come usare`ListFHIRImportJobs`.
**SDK per 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
```
+ Per i dettagli sull'API, consulta [List FHIRImport Jobs](https://docs.aws.amazon.com/goto/boto3/healthlake-2017-07-01/ListFHIRImportJobs) in *AWS SDK for Python (Boto3) API Reference*.
C'è di più su. GitHub Trova l'esempio completo e scopri di più sulla configurazione e l'esecuzione nel [Repository di esempi di codice AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/healthlake#code-examples).
### `ListTagsForResource`
Il seguente esempio di codice mostra come usare`ListTagsForResource`.
**SDK per 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
```
+ Per i dettagli sull'API, consulta [ListTagsForResource AWS](https://docs.aws.amazon.com/goto/boto3/healthlake-2017-07-01/ListTagsForResource)*SDK for Python (Boto3) API Reference*.
C'è di più su. GitHub Trova l'esempio completo e scopri di più sulla configurazione e l'esecuzione nel [Repository di esempi di codice AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/healthlake#code-examples).
### `StartFHIRExportJob`
Il seguente esempio di codice mostra come usare`StartFHIRExportJob`.
**SDK per 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
```
+ Per i dettagli sull'API, consulta [Start FHIRExport Job](https://docs.aws.amazon.com/goto/boto3/healthlake-2017-07-01/StartFHIRExportJob) in *AWS SDK for Python (Boto3) API Reference*.
C'è di più su. GitHub Trova l'esempio completo e scopri di più sulla configurazione e l'esecuzione nel [Repository di esempi di codice AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/healthlake#code-examples).
### `StartFHIRImportJob`
Il seguente esempio di codice mostra come usare`StartFHIRImportJob`.
**SDK per 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
```
+ Per i dettagli sull'API, consulta [Start FHIRImport Job](https://docs.aws.amazon.com/goto/boto3/healthlake-2017-07-01/StartFHIRImportJob) in *AWS SDK for Python (Boto3) API Reference*.
C'è di più su. GitHub Trova l'esempio completo e scopri di più sulla configurazione e l'esecuzione nel [Repository di esempi di codice AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/healthlake#code-examples).
### `TagResource`
Il seguente esempio di codice mostra come usare`TagResource`.
**SDK per 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
```
+ Per i dettagli sull'API, consulta [TagResource AWS](https://docs.aws.amazon.com/goto/boto3/healthlake-2017-07-01/TagResource)*SDK for Python (Boto3) API Reference*.
C'è di più su. GitHub Trova l'esempio completo e scopri di più sulla configurazione e l'esecuzione nel [Repository di esempi di codice AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/healthlake#code-examples).
### `UntagResource`
Il seguente esempio di codice mostra come usare`UntagResource`.
**SDK per 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
```
+ Per i dettagli sull'API, consulta [UntagResource AWS](https://docs.aws.amazon.com/goto/boto3/healthlake-2017-07-01/UntagResource)*SDK for Python (Boto3) API Reference*.
C'è di più su. GitHub Trova l'esempio completo e scopri di più sulla configurazione e l'esecuzione nel [Repository di esempi di codice AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/healthlake#code-examples).