IBM Cloud Event Streams Python SDK Version 1.1.0

Introduction

IBM Event Streams for IBM Cloud™ is a high-throughput message bus built with Apache Kafka. It is optimized for event ingestion into IBM Cloud and event stream distribution between your services and applications.

Event Streams provides a REST API to help connect your existing systems to your Event Streams Kafka cluster. Using the API, you can integrate Event Streams with any system that supports RESTful APIs.

Documentation IBM Cloud Eventstreams Service APIs.

Overview

The IBM Cloud Eventstreams SDK Python SDK allows developers to programmatically interact with the following IBM Cloud services:

Service Name	Imported Class Name
Admin Rest	AdminRest

Prerequisites

An IBM Cloud account.
The IBM Cloud CLI.
An IAM API key to allow the SDK to access your account. Create one here.
A IBM Cloud Eventstreams Instance Create one here
Python 3.6 or above.

Installation

To install, use pip3 or easy_install3.5:

pip3 install --upgrade "eventstreams_sdk>=1.1.0"

or

easy_install3.5 --upgrade "eventstreams_sdk>=1.1.0"

Using the SDK

For general SDK usage information, please see this link

Questions

If you are having difficulties using this SDK or have a question about the IBM Cloud services, please ask a question Stack Overflow.

Issues

If you encounter an issue with the project, you are welcome to submit a bug report. Before that, please search for similar issues. It's possible that someone has already reported the problem.

Open source @ IBM

Find more open source projects on the IBM Github Page

Contributing

See CONTRIBUTING.md.

License

This SDK is released under the Apache 2.0 license. The license's full text can be found in LICENSE.

Event Streams Administration REST API

This REST API allows users of the IBM Event Streams service to administer Kafka topics associated with an instance of the service. You can use this API to perform the following operations:

Create a Kafka topic
List Kafka topics
Get a Kafka topic
Delete a Kafka topic
Update a Kafka topic configuration
List which topics are mirrored
Replace selection of topics which are mirrored
List active mirroring topics
Create a Kafka quota
List Kafka quotas
Get a Kafka quota
Delete a Kafka quota
Update a Kafka quota information

The Admin REST API is also documented using swagger.

Access control

All requests support below authorization methods:

Basic authorization with user and password. ( For both standard, enterprise and lite plans, user is 'token', password is the API key from ibmcloud resource service-keys for the service instance.)
Bearer authorization with bearer token. (This token can be either API key or JWT token obtained from IAM upon login to IBM Cloud. Use ibmcloud iam oauth-tokens to retrieve the token after ibmcloud login)
X-Auth-Token header to be set to the API key. This header is deprecated.

Administration API endpoint

Administration API endpoint is the kafka_admin_url property in the service key for the service instance. This command can be used to retrieve this property.

$ibmcloud resource service-key "${service_instance_key_name}" --output json > jq -r '.[]|.credentials.kafka_admin_url'

Environment Setup

In the examples you must set and export environment variables as follows:

Either the API_KEY or BEARER_TOKEN to use for authentication.
KAFKA_ADMIN_URL to point to your Eventstreams admin endpoint.

In addition, the Content-type header has to be set to application/json.

Common HTTP status codes:

200: Request succeeded.
202: Request was accepted.
400: Invalid request JSON.
401: The authentication header is not set or provided information is not valid.
403: Not authorized to perform the operation. Usually it means the API key used is missing a certain role. More details on what role can perform what operation refers to this document.
404: Unable to find the topic with topic name given by user.
422: Semantically invalid request.
503: An error occurred handling the request.

Error responses carry a JSON body like the following:

{"error_code":50301,"message":"Unknown Kafka Error", "incident_id": "17afe715-0ff5-4c49-9acc-a4204244a331"}

Error codes are of the format HHHKK where HHH is the HTTP Status Code and KK is the Kafka protocol error.

For E2E debugging purposes, the transaction ID of every request is returned in the HTTP header X-Global-Transaction-Id. If the header is set on the request, it will be honored. If not, it will be generated. In the event of a non-200 error return code, the transaction ID is also returned in the JSON error response as incident_id.

Using the REST API to administer Kafka topics

The remainder of this document describes the Python implementation of the Admin Rest SDK and we also provide example example.go to show all SDK calls in action.

To run the example :-

Set the required environment variables

# Set your API KEY (or a bearer token could be used by setting the BEARER_TOKEN environment variable instead, but not both)
export API_KEY="abc123456789"

# Set the Admin Endpoint to point to your cluster.
export KAFKA_ADMIN_URL="https://xyzclustername.svc01.region.eventstreams.test.cloud.ibm.com"

Run the example

	python example.py

REST API

The following sections explain how the REST API works with examples.

Code Setup

# Code Setup
from typing import Set
from ibm_cloud_sdk_core.authenticators import BasicAuthenticator
from eventstreams_sdk.adminrest_v1 import *
import os
from http import HTTPStatus

SERVICE_NAME = 'adminrest_v1'
KAFKA_ADMIN_URL = os.getenv('KAFKA_ADMIN_URL')
BEARER_TOKEN= os.getenv('BEARER_TOKEN')
API_KEY= os.getenv('API_KEY')

# End Code Setup

Authentication

Use one of the following methods to authenticate:

To authenticate using Basic Auth: Place these values into the Authorization header of the HTTP request in the form Basic where is the username and password joined by a single colon : base64 encoded. For example:
```
echo -n "token:<APIKEY>" | base64
```
To authenticate using a bearer token: To obtain your token using the IBM Cloud CLI, first log in to IBM Cloud, then run the following command:
```
ibmcloud iam oauth-tokens
```
Place this token in the Authorization header of the HTTP request in the form Bearer. Both API key or JWT tokens are supported.
To authenticate directly using the api_key: Place the key directly as the value of the X-Auth-Token HTTP header.

Example

Here's an example of how to create the authenticator using either an API key or a BEARER_TOKEN

# Create Authenticator
if not KAFKA_ADMIN_URL:
    print("Please set env KAFKA_ADMIN_URL")
    exit(1)

if not API_KEY and not BEARER_TOKEN:
    print("Please set either an API_KEY or a BEARER_TOKEN")
    exit(1)

if API_KEY and BEARER_TOKEN:
    print("Please set either an API_KEY or a BEARER_TOKEN not both")
    exit(1)

if API_KEY:
    # Create an Basic IAM authenticator.
    authenticator = BasicAuthenticator('token', API_KEY)
else :
    # Create an IAM Bearer Token authenticator.
    authenticator = BasicAuthenticator('token', BEARER_TOKEN)

service = AdminrestV1(
    authenticator = authenticator
    )
# End Authenticator

Creating a client for the Admin REST API.

Create a new service object.

# Create Service
base_url = KAFKA_ADMIN_URL
service.set_service_url(base_url)
# End Create Service

Creating a Kafka topic

To create a Kafka topic the admin REST SDK issues a POST request to the /admin/topics path. The body of the request contains a JSON document, for example:

{
    "name": "topicname",
    "partitions": 1,
    "configs": {
        "retentionMs": 86400000,
        "cleanupPolicy": "delete"
    }
}

The only required field is name. The partitions fields defaults to 1 if not set.

Expected HTTP status codes:

202: Topic creation request was accepted.
400: Invalid request JSON.
403: Not authorized to create topic.
422: Semantically invalid request.

If the request to create a Kafka topic succeeds then HTTP status code 202 (Accepted) is returned. If the operation fails then a HTTP status code of 422 (Un-processable Entity) is returned, and a JSON object containing additional information about the failure is returned as the body of the response.

Example

def create_topic(service,topic_name):
    # Set up parameter values
    partition_count = 1
    configs = []

    # Invoke create method.
    try:
        response = service.create_topic(
            name=topic_name,
            partition_count=partition_count,
            configs=configs,
        )
        if response.status_code == HTTPStatus.ACCEPTED :  
            print("\ttopic created: " + topic_name)
    except:
        print("\tError Creating Topic: " + topic_name)
    # func.End

Deleting a Kafka topic

To delete a Kafka topic, the admin REST SDK issues a DELETE request to the /admin/topics/TOPICNAME path (where TOPICNAME is the name of the Kafka topic that you want to delete).

Expected return codes:

202: Topic deletion request was accepted.
403: Not authorized to delete topic.
404: Topic does not exist.
422: Semantically invalid request.

A 202 (Accepted) status code is returned if the REST API accepts the delete request or status code 422 (Un-processable Entity) if the delete request is rejected. If a delete request is rejected then the body of the HTTP response will contain a JSON object which provides additional information about why the request was rejected.

Kafka deletes topics asynchronously. Deleted topics may still appear in the response to a list topics request for a short period of time after the completion of a REST request to delete the topic.

Example

def delete_topic(service,topic_name):
    # Lets try to delete it.
    try:
        response = service.delete_topic(
            topic_name,
            )
        if response.status_code == HTTPStatus.ACCEPTED: 
            print("\ttopic deleted: "+topic_name)
    except:
        print("\tError Deleting Topic: " + topic_name)
    # func.End

Listing Kafka topics

You can list all of your Kafka topics by issuing a GET request to the /admin/topics path.

Expected status codes:

200: the topic list is returned as JSON in the following format:

[
  {
    "name": "topic1",
    "partitions": 1,
    "retentionMs": 86400000,
    "cleanupPolicy": "delete"
  },
  { "name": "topic2",
    "partitions": 2,
    "retentionMs": 86400000,
    "cleanupPolicy": "delete"
  }
]

A successful response will have HTTP status code 200 (OK) and contain an array of JSON objects, where each object represents a Kafka topic and has the following properties:

Property name	Description
name	The name of the Kafka topic.
partitions	The number of partitions of the Kafka topic.
retentionsMs	The retention period for messages on the topic (in ms).
cleanupPolicy	The cleanup policy of the Kafka topic.

Example

def list_topics(service):
    # Set up parameter values
    topic_filter = ''
    # Invoke list method.
    try:
        response = service.list_topics(
            topic_filter=topic_filter,
            )

        if response.status_code == HTTPStatus.OK:
            if not response.result :
                print("\tnothing to list")
                return
            for topic in response.result: 
                 print("\t" + topic["name"])
    except:
        print("\tError Listing Topics")
    # func.end

Getting a Kafka topic

To get a Kafka topic detail information, issue a GET request to the /admin/topics/TOPICNAME path (where TOPICNAME is the name of the Kafka topic that you want to get).

Expected status codes

200: Retrieve topic details successfully in following format:

{
  "name": "MYTOPIC",
  "partitions": 1,
  "replicationFactor": 3,
  "retentionMs": 86400000,
  "cleanupPolicy": "delete",
  "configs": {
    "cleanup.policy": "delete",
    "min.insync.replicas": "2",
    "retention.bytes": "1073741824",
    "retention.ms": "86400000",
    "segment.bytes": "536870912"
  },
  "replicaAssignments": [
    {
      "id": 0,
      "brokers": {
        "replicas": [
          3,
          2,
          4
        ]
      }
    }
  ]
}

403: Not authorized.
404: Topic does not exist.

Example

def topic_details(service,topic_name):
    # Invoke get method.
    try:
        response = service.get_topic(
            topic_name,
            )
        if response.status_code == HTTPStatus.OK:  
            for key, value in response.result.items(): 
                print("\t" +key + ":" + str(value) )
    except:
        print("\tError Getting Topic Details: " + topic_name)
    # func.End

Updating Kafka topic's configuration

To increase a Kafka topic's partition number or to update a Kafka topic's configuration, issue a PATCH request to /admin/topics/TOPICNAME with the following body: (where TOPICNAME is the name of the Kafka topic that you want to update).

{
  "new_total_partition_count": 4,
  "configs": [
    {
      "name": "cleanup.policy",
      "value": "compact"
    }
  ]
}

Supported configuration keys are 'cleanup.policy', 'retention.ms', 'retention.bytes', 'segment.bytes', 'segment.ms', 'segment.index.bytes'. And partition number can only be increased, not decreased.

Expected status codes

202: Update topic request was accepted.
400: Invalid request JSON/number of partitions is invalid.
404: Topic specified does not exist.
422: Semantically invalid request.

Example

def update_topic(service,topic_name):
    # Set up parameter values.
    new_total_partition_count = 6
    configs = []

    # Invoke update method.
    try:
        response = service.update_topic(
            topic_name,
            new_total_partition_count=new_total_partition_count,
            configs=configs,
        )
        if response.status_code == HTTPStatus.ACCEPTED :
            print("\ttopic updated: "+topic_name)
    except:
        print("\tError Updating Topic Details: " + topic_name)
    # func.End

List current mirroring topic selection

Mirroring user controls are only available on the target cluster in a mirroring environment.

To get the current topic selection, issue an GET request to /admin/mirroring/topic-selection

Expected status codes

200: Retrieved topic selection successfully in following format:

{
  "includes": [
    "^prefix1_.*",
    "^prefix2_.*"
  ]
}

403: Unauthorized to use mirroring user controls.
404: Mirroring not enabled. The mirroring user control APIs are only available on the target cluster of a mirrored pair.
503: An error occurred handling the request.

Example

def get_mirroring_topic_selection(service):
    # Invoke get selection method.
    try:
        response = service.get_mirroring_topic_selection()
        if response.status_code == HTTPStatus.OK :
            for topic in response.result: 
                 print("\t" + topic["name"])
    except:
        print("\tError Listing Mirroring Topics:")  
    # func.End

Replace selection of topics which are mirrored

Replace mirroring topic selection

Mirroring user controls are available on the target cluster in a mirroring environment.

To replace the current topic selection, issue a POST request to /admin/mirroring/topic-selection

Expected status codes

200: Replaced topic selection successfully. The new selection is returned in following format:

{
  "includes": [
    "^prefix1_.*",
    "^prefix2_.*"
  ]
}

400: Invalid request. The request data cannot be parsed and used to replace the topic selection.
403: Unauthorized to use mirroring user controls.
404: Mirroring not enabled. The mirroring user control APIs are only available on the target cluster of a mirrored pair.
415: Unsupported media type. Content-Type header with application/json is required.
503: An error occurred handling the request.

Example

def replace_mirroring_topic_selection(service,topic_name):
     # Set up parameter values
    includes = [topic_name]    
    # Invoke replace method.
    try:
        response = service.replace_mirroring_topic_selection(
            includes=[topic_name],
        )
        if response.status_code == HTTPStatus.OK :
            print("\tmirroring topic selection updated: "+includes)
    except:
        print("\tError Replacing Mirroring Topics:") 
    # func.End

List active mirroring topics

Mirroring user controls are available on the target cluster in a mirroring environment.

To get the list of currently mirrored topics, issue an GET request to /admin/mirroring/active-topics

Expected status codes

200: Retrieved active topics successfully in following format:

{
  "active_topics": [
    "topic1",
    "topic2"
  ]
}

403: Unauthorized to use mirroring user controls.
404: Mirroring not enabled. The mirroring user control APIs are only available on the target cluster of a mirrored pair.
503: An error occurred handling the request.

Example

def get_list_mirroring_active_topics(service):
    # Invoke active method.
    try:
        response = service.get_list_mirroring_active_topics()
        if response.status_code == HTTPStatus.OK :
            for topic in response.result: 
                 print("\t" + topic["name"])
        print("\tactive mirroring topics updated:")
    except:
        print("\tError Listing Active Mirroring Topics:")  
    # func.End

Creating a Kafka quota

To create a Kafka quota the admin REST SDK issues a POST request to the /admin/quotas/ENTITYNAME path (where ENTITYNAME is the name of the entity that you want to create. The entity name of the quota can be default or an IAM Service ID that starts with an iam-ServiceId prefix). The body of the request contains a JSON document, for example:

{
    "producer_byte_rate": 1024,
    "consumer_byte_rate": 1024
}

Create Quota would create either 1 or 2 quotas depending on what data is passed in.

Expected HTTP status codes:

201: Quota creation request was created.
400: Invalid request JSON.
403: Not authorized to create quota.
422: Semantically invalid request.

If the request to create a Kafka quota succeeds then HTTP status code 201 (Created) is returned. If the operation fails then a HTTP status code of 422 (Un-processable Entity) is returned, and a JSON object containing additional information about the failure is returned as the body of the response.

Example

def create_quota(service,entity_name):
    configs = []

    # Invoke create method.
    try:
        response = service.create_quota(
            entity_name=entity_name,
            producer_byte_rate=1024,
            consumer_byte_rate=1024
        )
        if response.status_code == HTTPStatus.CREATED :  
            print("\tQuota created: " + entity_name)
    except:
        print("\tError Creating Quota: " + entity_name)
    # func.End

Deleting a Kafka quota

To delete a Kafka quota, the admin REST SDK issues a DELETE request to the /admin/quotas/ENTITYNAME path (where ENTITYNAME is the name of the entity that you want to delete. The entity name of the quota can be default or an IAM Service ID that starts with an iam-ServiceId prefix).

Expected return codes:

202: Quota deletion request was accepted.
403: Not authorized to delete quota.
404: Entity Quota does not exist.
422: Semantically invalid request.

A 202 (Accepted) status code is returned if the REST API accepts the delete request or status code 422 (Un-processable Entity) if the delete request is rejected. If a delete request is rejected then the body of the HTTP response will contain a JSON object which provides additional information about why the request was rejected.

Example

def delete_quota(service,entity_name):
    # Lets try to delete it.
    try:
        response = service.delete_quota(
            entity_name,
            )
        if response.status_code == HTTPStatus.ACCEPTED: 
            print("\tQuota deleted: "+entity_name)
    except:
        print("\tError Deleting Quota: " + entity_name)
    # func.End

Listing Kafka quotas

You can list all of your Kafka quotas by issuing a GET request to the /admin/quotas path.

Expected status codes:

200: quotas list is returned as JSON in the following format:

{
  "data": [
    {
      "entity_name": "default",
      "producer_byte_rate": 1024,
      "consumer_byte_rate": 1024
    },
    {
      "entity_name": "iam-ServiceId-38288dac-1f80-46dd-b135-a56153296bcd",
      "producer_byte_rate": 1024
    },
    {
      "entity_name": "iam-ServiceId-38288dac-1f80-46dd-b135-e56153296fgh",
      "consumer_byte_rate": 2048
    },
    {
      "entity_name": "iam-ServiceId-38288dac-1f80-46dd-b135-f56153296bfa",
      "producer_byte_rate": 2048,
      "consumer_byte_rate": 1024
    }
  ]
}

A successful response will have HTTP status code 200 (OK) and contain an array of JSON objects, where each object represents a Kafka quota and has the following properties:

Property name	Description
entity_name	The entity name of the quota can be `default` or an IAM Service ID that starts with an `iam-ServiceId` prefix.
producer_byte_rate	The producer byte rate quota value.
consumer_byte_rate	The consumer byte rate quota value.

Example

def list_quotas(service):
    # Invoke list method.
    try:
        response = service.list_quotas()

        if response.status_code == HTTPStatus.OK:
            if not response.result :
                print("\tNothing to List")
                return
            for quota in response.result["data"]:
                quota_details = "entity_name: "+ quota["entity_name"]
                if "producer_byte_rate" in quota:
                    quota_details += ", producer_byte_rate: "+ str(quota["producer_byte_rate"])
                if "consumer_byte_rate" in quota:
                    quota_details += ", consumer_byte_rate: "+ str(quota["consumer_byte_rate"])
                print("\t"+quota_details)
    except:
        print("\tError Listing Quotas")
    # func.end

Getting a Kafka quota

To get a Kafka quota detail information, issue a GET request to the /admin/quotas/ENTITYNAME path (where ENTITYNAME is the name of the entity that you want to get. The entity name of the quota can be default or an IAM Service ID that starts with an iam-ServiceId prefix).

Expected status codes

200: Retrieve quota details successfully in following format:

{
  "producer_byte_rate": 1024,
  "consumer_byte_rate": 1024
}

403: Not authorized.

Example

def quota_details(service,entity_name):
    # Invoke get method.
    try:
        response = service.get_quota(
            entity_name,
            )
        if response.status_code == HTTPStatus.OK:  
            for key, value in response.result.items(): 
                print("\t" +key + ":" + str(value) )
    except:
        print("\tError Getting Quota Details: " + entity_name)
    # func.End

Updating Kafka quota's information

To Update an entity's quota, issue a PATCH request to /admin/quotas/ENTITYNAME with the following body: (where ENTITYNAME is the name of the entity that you want to update. The entity name of the quota can be default or an IAM Service ID that starts with an iam-ServiceId prefix).

{
  "producer_byte_rate": 2048,
  "consumer_byte_rate": 2048
}

Expected status codes

202: Update quota request was accepted.
400: Invalid request JSON.
404: Entity quota specified does not exist.
422: Semantically invalid request.

Example

def update_quota(service,entity_name):
    # Invoke update method.
    try:
        response = service.update_quota(
            entity_name,
            producer_byte_rate=2048,
            consumer_byte_rate=2048
        )
        if response.status_code == HTTPStatus.ACCEPTED:
            print("\tQuota updated: " + entity_name)
    except:
        print("\tError Updating Quota Details: " + entity_name)
    # func.End

Name		Name	Last commit message	Last commit date
Latest commit History 21 Commits
.github		.github
eventstreams_sdk.egg-info		eventstreams_sdk.egg-info
eventstreams_sdk		eventstreams_sdk
test		test
.bumpversion.cfg		.bumpversion.cfg
.gitattributes		.gitattributes
.gitignore		.gitignore
.pylintrc		.pylintrc
.releaserc		.releaserc
.travis.yml		.travis.yml
CODE_OF_CONDUCT.md		CODE_OF_CONDUCT.md
CONTRIBUTING.md		CONTRIBUTING.md
LICENSE		LICENSE
MANIFEST.in		MANIFEST.in
Makefile		Makefile
README.md		README.md
admin-rest-api.yaml		admin-rest-api.yaml
appscan-config.xml		appscan-config.xml
example.py		example.py
pylint.sh		pylint.sh
requirements-dev.txt		requirements-dev.txt
requirements.txt		requirements.txt
setup.py		setup.py
tox.ini		tox.ini

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IBM Cloud Event Streams Python SDK Version 1.1.0

Introduction

Table of Contents

Overview

Prerequisites

Installation

Using the SDK

Questions

Issues

Open source @ IBM

Contributing

License

Event Streams Administration REST API

Access control

Administration API endpoint

Environment Setup

Using the REST API to administer Kafka topics

REST API

Code Setup

Authentication

Example

Creating a client for the Admin REST API.

Creating a Kafka topic

Example

Deleting a Kafka topic

Example

Listing Kafka topics

Example

Getting a Kafka topic

Example

Updating Kafka topic's configuration

Example

List current mirroring topic selection

Example

Replace selection of topics which are mirrored

Example

List active mirroring topics

Example

Creating a Kafka quota

Example

Deleting a Kafka quota

Example

Listing Kafka quotas

Example

Getting a Kafka quota

Example

Updating Kafka quota's information

Example

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