Python package for interacting with the Omnia Industrial IoT Timeseries API.
To use the Python package, install it in the following manner:
pip install git+https://github.com/equinor/omnia-timeseries-python.git@main
For support, create an issue on GitHub.
For fundamental questions please refer to the MSAL documentation which has code examples for multiple programming languages and scenarios.
You should also familiarize yourself with the azure.identity package, which we will use below.
Follow usage examples to learn how to retrieve data in Json format.
Follow get data as protobuf example to learn how to retrieve data in Protobuf format.
Read https://github.com/equinor/OmniaPlant/wiki/Authentication-&-Authorization to familiarize yourself with how Timeseries API handles authentication and authorization.
The TimeseriesAPI client accepts any azure.identity credential that inherits from MsalCredential, so you can pick the flow that suits your environment. The options we currently cover are:
- Service principal with client secret (
ClientSecretCredential) for headless service-to-service scenarios. - Service principal with certificate (
ClientCertificateCredential) when you prefer cert-based authentication instead of a secret. - Managed identities / default credential chain (
ManagedIdentityCredentialorDefaultAzureCredential) when running inside Azure. - Interactive browser login (
InteractiveBrowserCredential) for local development where you can complete the sign-in with a browser. - User impersonation (
DeviceCodeCredentialor other interactive flows that acquire a user token) when you need to act on behalf of a signed-in user; this requires the Timeseries API app to consent to theuser_impersonationscope. - On-behalf-of flow (
OnBehalfOfCredential) when a middle-tier service needs to exchange a signed-in user's token for a Timeseries API token and act with delegated permissions.
The supported credential setups are shown below.
Read Service-to-service using a shared secret and ensure prerequisite steps have been done.
from azure.identity import ClientSecretCredential
import os
credentials = ClientSecretCredential(
tenant_id=os.environ['AZURE_TENANT_ID'],
client_id=os.environ['AZURE_CLIENT_ID'],
client_secret=os.environ['AZURE_CLIENT_SECRET']
)Use a certificate instead of a shared secret when you want a stronger identity proof and avoid storing plain secrets.
from azure.identity import ClientCertificateCredential
import os
credentials = ClientCertificateCredential(
tenant_id=os.environ['AZURE_TENANT_ID'],
client_id=os.environ['AZURE_CLIENT_ID'],
certificate_path=os.environ['AZURE_CLIENT_CERT_PATH']
)When developing locally, you can open a browser window and sign in manually.
from azure.identity import InteractiveBrowserCredential
import os
credentials = InteractiveBrowserCredential(
tenant_id=os.environ['AZURE_TENANT_ID'],
client_id=os.environ['AZURE_CLIENT_ID']
)Use a device code or other interactive credential that requests the user_impersonation scope so the signed-in user is impersonated by the Timeseries API.
from azure.identity import DeviceCodeCredential
import os
credentials = DeviceCodeCredential(
tenant_id=os.environ['AZURE_TENANT_ID'],
client_id=os.environ['AZURE_CLIENT_ID']
)Read Managed Service Identity (For Equinor applications in Azure) and ensure prerequisite steps have been done.
from azure.identity import DefaultAzureCredential
credentials = DefaultAzureCredential()Use OnBehalfOfCredential when a backend service receives a user token (the user assertion) and needs to call the Timeseries API on that user's behalf.
from azure.identity import OnBehalfOfCredential
import os
credentials = OnBehalfOfCredential(
tenant_id=os.environ['AZURE_TENANT_ID'],
client_id=os.environ['AZURE_CLIENT_ID'],
client_secret=os.environ['AZURE_CLIENT_SECRET'],
user_assertion=os.environ['USER_ASSERTION']
)The Json response from Timeseries API looks like this:
>> {'items': [{'id': 'xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx', 'datapoints': [{'time': '2021-02-01T09:54:05.4200000Z', 'value': -0.000286102294921875, 'status': 192}]}]}
The Protobuf response from Timeseries API looks like this:
{ "data": [ { "id": "xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx", "totalCount": "1", "fields": [ "time", "value", "status" ], "values": [ { "int64": "1727263834898000000" }, { "double": 246.56092834472656 }, { "uint32": 192 } ] } ] }
Please consult the API Reference for a full overview of the API endpoints.