This directory contains samples for Cloud Healthcare API. Cloud Healthcare API implements healthcare-native protocols and formats to accelerate ingestion, storage, analysis, and integration of healthcare data with cloud-based applications. - See the migration guide for information about migrating to Python client library v0.25.1.
This sample requires you to have authentication setup. Refer to the Authentication Getting Started Guide for instructions on setting up credentials for applications.
Clone python-docs-samples and change directory to the sample directory you want to use.
$ git clone https://github.com/GoogleCloudPlatform/python-docs-samples.git
Install pip and virtualenv if you do not already have them. You may want to refer to the Python Development Environment Setup Guide for Google Cloud Platform for instructions.
Create a virtualenv. Samples are compatible with Python 2.7 and 3.4+.
$ virtualenv env $ source env/bin/activateInstall the dependencies needed to run the samples.
$ pip install -r requirements.txt
To run this sample:
$ python datasets.py
usage: datasets.py [-h] [--service_account_json SERVICE_ACCOUNT_JSON]
[--project_id PROJECT_ID] [--cloud_region CLOUD_REGION]
[--dataset_id DATASET_ID] [--time_zone TIME_ZONE]
[--destination_dataset_id DESTINATION_DATASET_ID]
[--keeplist_tags KEEPLIST_TAGS] [--member MEMBER]
[--role ROLE]
{create-dataset,delete-dataset,get-dataset,list-datasets,patch-dataset,get_iam_policy,set_iam_policy,deidentify-dataset}
...
positional arguments:
{create-dataset,delete-dataset,get-dataset,list-datasets,patch-dataset,get_iam_policy,set_iam_policy,deidentify-dataset}
create-dataset Creates a dataset.
delete-dataset Deletes a dataset.
get-dataset Gets any metadata associated with a dataset.
list-datasets Lists the datasets in the project.
patch-dataset Updates dataset metadata.
get_iam_policy Gets the IAM policy for the specified dataset.
set_iam_policy Sets the IAM policy for the specified dataset. A
single member will be assigned a single role. A member
can be any of: - allUsers, that is, anyone -
allAuthenticatedUsers, anyone authenticated with a
Google account - user:email, as in
'user:somebody@example.com' - group:email, as in
'group:admins@example.com' - domain:domainname, as in
'domain:example.com' - serviceAccount:email, as in
'serviceAccount:my-other-
app@appspot.gserviceaccount.com' A role can be any IAM
role, such as 'roles/viewer', 'roles/owner', or
'roles/editor'
deidentify-dataset Creates a new dataset containing de-identified data
from the source dataset.
optional arguments:
-h, --help show this help message and exit
--service_account_json SERVICE_ACCOUNT_JSON
Path to service account JSON file.
--project_id PROJECT_ID
GCP project name
--cloud_region CLOUD_REGION
GCP cloud region
--dataset_id DATASET_ID
Name of dataset
--time_zone TIME_ZONE
The default timezone used by a dataset
--destination_dataset_id DESTINATION_DATASET_ID
The name of the new dataset where the de-identified
data will be written
--keeplist_tags KEEPLIST_TAGS
The data to keeplist, for example "PatientID" or
"StudyInstanceUID"
--member MEMBER Member to add to IAM policy (e.g.
"domain:example.com")
--role ROLE IAM Role to give to member (e.g. "roles/viewer")This sample uses the Google Cloud Client Library for Python. You can read the documentation for more details on API usage and use GitHub to browse the source and report issues.