Oracle Cloud Infrastructure

The next-generation cloud designed to run any application, faster and more securely, for less.

Integrate the Oracle Cloud Infrastructure API with the Python API

Setup the Oracle Cloud Infrastructure API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Oracle Cloud Infrastructure and Python remarkably fast. Free for developers.

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Run Python Code with Python API on New Autonomous Database Created (Instant) from Oracle Cloud Infrastructure API
Oracle Cloud Infrastructure + Python
 
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Run Python Code with Python API on New Instance State Change (Instant) from Oracle Cloud Infrastructure API
Oracle Cloud Infrastructure + Python
 
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Run Python Code with Python API on New Object Storage Object (Instant) from Oracle Cloud Infrastructure API
Oracle Cloud Infrastructure + Python
 
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New Autonomous Database Created (Instant) from the Oracle Cloud Infrastructure API

Emit new event when a new autonomous database is created in a specified compartment. See the documentation

 
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New Instance State Change (Instant) from the Oracle Cloud Infrastructure API

Emit new event when a compute instance changes state (e.g., from stopped to running). This requires instance OCID and proper event rules set up in Oracle Cloud Infrastructure. See the documentation

 
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New Object Storage Object (Instant) from the Oracle Cloud Infrastructure API

Emit new event when a new object is uploaded to a specified Oracle Cloud Infrastructure Object Storage bucket. See the documentation

 
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Create Or Update Object with the Oracle Cloud Infrastructure API

Create or update an object in a specified Oracle Cloud Infrastructure Object Storage bucket. See the documentation

 
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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

 
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Delete Object with the Oracle Cloud Infrastructure API

Delete an object from a specified Oracle Cloud Infrastructure Object Storage bucket. See the documentation

 
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Connect Oracle Cloud Infrastructure

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import * as common from "oci-common";
import * as identity from "oci-identity";

export default defineComponent({
  props: {
    oracle_cloud_infrastructure: {
      type: "app",
      app: "oracle_cloud_infrastructure",
    },
  },
  async run({ steps, $ }) {
    const tenancyId = this.oracle_cloud_infrastructure.$auth.tenancy_id;
    const userId = this.oracle_cloud_infrastructure.$auth.user_id;
    const fingerprint = this.oracle_cloud_infrastructure.$auth.fingerprint;
    const regionStr = this.oracle_cloud_infrastructure.$auth.region;
    const privateKey = this.oracle_cloud_infrastructure.$auth.private_key;

    // Convert the region string into a Region object
    const region = common.Region.fromRegionId(regionStr);

    // Create a simple authentication provider using your credentials.
    // If your private key has a passphrase, replace null with the passphrase.
    const provider = new common.SimpleAuthenticationDetailsProvider(
      tenancyId,
      userId,
      fingerprint,
      privateKey,
      null, // passphrase (if needed)
      region
    );

    // Create an IdentityClient using the provider.
    const identityClient = new identity.IdentityClient({
      authenticationDetailsProvider: provider,
    });

    // Prepare a request to list compartments for your tenancy.
    const listCompartmentsRequest = {
      compartmentId: tenancyId,
    };

    // Call the OCI API to list compartments.
    const response = await identityClient.listCompartments(listCompartmentsRequest);
    
    // The response object contains details such as items (the list of compartments).
    return response;
  },
});

Overview of Python

Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow

This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.

Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:

Connect Python

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def handler(pd: "pipedream"):
  # Reference data from previous steps
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Adyen logo
Appcues logo
Bandwidth logo
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ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
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Gorgias logo
LinkedIn logo
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