文档 AWS SDK 示例 GitHub 存储库中还有更多 [S AWS DK 示例](https://github.com/awsdocs/aws-doc-sdk-examples)。
本文属于机器翻译版本。若本译文内容与英语原文存在差异，则一律以英文原文为准。
# HealthLake 使用适用于 Python 的 SDK (Boto3) 的示例
以下代码示例向您展示了如何使用with来执行操作和实现常见场景 HealthLake。 适用于 Python (Boto3) 的 AWS SDK
*操作*是大型程序的代码摘录，必须在上下文中运行。您可以通过操作了解如何调用单个服务函数，还可以通过函数相关场景的上下文查看操作。
每个示例都包含一个指向完整源代码的链接，您可以从中找到有关如何在上下文中设置和运行代码的说明。
**Topics**
+ [操作](#actions)
## 操作
### `CreateFHIRDatastore`
以下代码示例演示了如何使用 `CreateFHIRDatastore`。
**适用于 Python 的 SDK（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
```
以下代码显示了启用 FH HealthLake IR 的数据存储上的 SMART 参数示例。
```
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
)
```
+ 有关 API 的详细信息，请参阅在 *Python AWS 开发工具包FHIRDatastore中[创建](https://docs.aws.amazon.com/goto/boto3/healthlake-2017-07-01/CreateFHIRDatastore) (Boto3) API 参考*。
还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/healthlake#code-examples)中查找完整示例，了解如何进行设置和运行。
### `DeleteFHIRDatastore`
以下代码示例演示了如何使用 `DeleteFHIRDatastore`。
**适用于 Python 的 SDK（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
```
+ 有关 API 的详细信息，请参阅 *Python FHIRDatastore 版AWS SDK 中[删除](https://docs.aws.amazon.com/goto/boto3/healthlake-2017-07-01/DeleteFHIRDatastore) (Boto3) API 参考*。
还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/healthlake#code-examples)中查找完整示例，了解如何进行设置和运行。
### `DescribeFHIRDatastore`
以下代码示例演示了如何使用 `DescribeFHIRDatastore`。
**适用于 Python 的 SDK（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
```
+ 有关 API 的详细信息，请参阅适用于 *Python 的AWS SDK (Boto3)* API 参考FHIRDatastore中的[描述](https://docs.aws.amazon.com/goto/boto3/healthlake-2017-07-01/DescribeFHIRDatastore)。
还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/healthlake#code-examples)中查找完整示例，了解如何进行设置和运行。
### `DescribeFHIRExportJob`
以下代码示例演示了如何使用 `DescribeFHIRExportJob`。
**适用于 Python 的 SDK（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
```
+ 有关 API 的详细信息，请参阅 *Python 版AWS SDK 中[描述FHIRExport作业](https://docs.aws.amazon.com/goto/boto3/healthlake-2017-07-01/DescribeFHIRExportJob) (Boto3) API 参考*。
还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/healthlake#code-examples)中查找完整示例，了解如何进行设置和运行。
### `DescribeFHIRImportJob`
以下代码示例演示了如何使用 `DescribeFHIRImportJob`。
**适用于 Python 的 SDK（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
```
+ 有关 API 的详细信息，请参阅 *Python 版AWS SDK 中[描述FHIRImport作业](https://docs.aws.amazon.com/goto/boto3/healthlake-2017-07-01/DescribeFHIRImportJob) (Boto3) API 参考*。
还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/healthlake#code-examples)中查找完整示例，了解如何进行设置和运行。
### `ListFHIRDatastores`
以下代码示例演示了如何使用 `ListFHIRDatastores`。
**适用于 Python 的 SDK（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
```
+ 有关 API 的详细信息，请参阅适用于 *Python 的AWS SDK (Boto3)* API 参考FHIRDatastores中的[列表](https://docs.aws.amazon.com/goto/boto3/healthlake-2017-07-01/ListFHIRDatastores)。
还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/healthlake#code-examples)中查找完整示例，了解如何进行设置和运行。
### `ListFHIRExportJobs`
以下代码示例演示了如何使用 `ListFHIRExportJobs`。
**适用于 Python 的 SDK（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
```
+ 有关 API 的详细信息，请参阅 *Python 版AWS SDK 中[列出FHIRExport作业](https://docs.aws.amazon.com/goto/boto3/healthlake-2017-07-01/ListFHIRExportJobs) (Boto3) API 参考*。
还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/healthlake#code-examples)中查找完整示例，了解如何进行设置和运行。
### `ListFHIRImportJobs`
以下代码示例演示了如何使用 `ListFHIRImportJobs`。
**适用于 Python 的 SDK（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
```
+ 有关 API 的详细信息，请参阅 *Python 版AWS SDK 中[列出FHIRImport作业](https://docs.aws.amazon.com/goto/boto3/healthlake-2017-07-01/ListFHIRImportJobs) (Boto3) API 参考*。
还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/healthlake#code-examples)中查找完整示例，了解如何进行设置和运行。
### `ListTagsForResource`
以下代码示例演示了如何使用 `ListTagsForResource`。
**适用于 Python 的 SDK（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
```
+ 有关 API 的详细信息，请参阅适用[ListTagsForResource](https://docs.aws.amazon.com/goto/boto3/healthlake-2017-07-01/ListTagsForResource)于 *Python 的AWS SDK (Boto3) API 参考*。
还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/healthlake#code-examples)中查找完整示例，了解如何进行设置和运行。
### `StartFHIRExportJob`
以下代码示例演示了如何使用 `StartFHIRExportJob`。
**适用于 Python 的 SDK（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
```
+ 有关 API 的详细信息，请参阅 *Python 版AWS SDK 中[启动FHIRExport作业](https://docs.aws.amazon.com/goto/boto3/healthlake-2017-07-01/StartFHIRExportJob) (Boto3) API 参考*。
还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/healthlake#code-examples)中查找完整示例，了解如何进行设置和运行。
### `StartFHIRImportJob`
以下代码示例演示了如何使用 `StartFHIRImportJob`。
**适用于 Python 的 SDK（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
```
+ 有关 API 的详细信息，请参阅 *Python 版AWS SDK 中[启动FHIRImport作业](https://docs.aws.amazon.com/goto/boto3/healthlake-2017-07-01/StartFHIRImportJob) (Boto3) API 参考*。
还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/healthlake#code-examples)中查找完整示例，了解如何进行设置和运行。
### `TagResource`
以下代码示例演示了如何使用 `TagResource`。
**适用于 Python 的 SDK（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
```
+ 有关 API 的详细信息，请参阅适用[TagResource](https://docs.aws.amazon.com/goto/boto3/healthlake-2017-07-01/TagResource)于 *Python 的AWS SDK (Boto3) API 参考*。
还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/healthlake#code-examples)中查找完整示例，了解如何进行设置和运行。
### `UntagResource`
以下代码示例演示了如何使用 `UntagResource`。
**适用于 Python 的 SDK（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
```
+ 有关 API 的详细信息，请参阅适用[UntagResource](https://docs.aws.amazon.com/goto/boto3/healthlake-2017-07-01/UntagResource)于 *Python 的AWS SDK (Boto3) API 参考*。
还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/healthlake#code-examples)中查找完整示例，了解如何进行设置和运行。