adding python boto3 task

task/python-boto3-aws/0.1/README.md

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+# Python Boto3 Task
+
+This Tekton Task defines a reusable Task named `python-boto3` for running Python scripts that use the boto3 library to interact with AWS services.
+
+## Parameters
+
+The Task accepts the following parameters:
+
+- `aws-region` (optional, default: `us-east-1`): The AWS region to use for the boto3 client.
+
+## Volumes
+
+The Task expects a ConfigMap named `python-script-configmap` to be mounted as a volume named `python-script`. This ConfigMap should contain the Python script to be executed, with the key `script.py`.
+
+## Steps
+
+The Task consists of a single step that runs the Python script using the `python:3.9` image. The step performs the following actions:
+
+1. Installs the `boto3` library using `pip`.
+2. Sets the AWS credentials as environment variables (`AWS_ACCESS_KEY_ID` and `AWS_SECRET_ACCESS_KEY`) from a Kubernetes Secret named `aws-credentials`.
+3. Sets the AWS region as an environment variable (`AWS_DEFAULT_REGION`) using the value provided in the `aws-region` parameter.
+4. Mounts the `python-script` volume containing the Python script at `/workspace/python-script`.
+5. Executes the Python script located at `/workspace/python-script/script.py`.
+
+## Usage
+
+To use this Task, you'll need to create the following resources:
+
+1. A Kubernetes Secret named `aws-credentials` with your AWS Access Key ID and Secret Access Key.
+2. A ConfigMap named `python-script-configmap` with your Python script (`script.py`).
+
+ Python script named script.py with the following content:
+
+#####################################################
+# script.py - begin
+#####################################################
+import boto3
+
+# Your Python script that uses boto3 goes here
+# For example:
+s3 = boto3.client('s3')
+response = s3.list_buckets()
+
+print(response)
+
+###################################################
+# script.py - end
+###################################################
+To create the ConfigMap, you can use the kubectl create configmap command and specify the --from-file flag to include the Python script file:
+######
+# command to create configmap
+#####
+kubectl create configmap python-script-configmap --from-file=script.py
+This command will create a ConfigMap named python-script-configmap with the contents of the script.py file.
+Alternatively you can also use config-map.yaml given in sample
+
+Then, you can create a Tekton TaskRun that references this Task and provide the necessary parameters (if any).
+

task/python-boto3-aws/0.1/python-boto3-aws.yaml

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+apiVersion: tekton.dev/v1
+kind: Task
+metadata:
+  name: python-boto3
+  labels:
+    app.kubernetes.io/version: "0.1"
+  annotations:
+    tekton.dev/pipelines.minVersion: "0.54.0"
+    tekton.dev/categories: sdk
+    tekton.dev/tags: CLI, boto3, sdk
+    tekton.dev/displayName: "python boto3 aws"
+    tekton.dev/platforms: "linux/amd64"
+spec:
+  params:
+    - name: aws-region
+      type: string
+      default: "us-east-1"
+      description: AWS Region
+  volumes:
+    - name: python-script
+      configMap:
+        name: python-script-configmap
+  steps:
+    - name: run-python-script
+      image: docker.io/library/python:3.9.19-alpine3.20@sha256:45cc18540209d878c2b24080cf8f64fc37603721b67d0ecc508799e2f9a9b21d
+      env:
+        - name: AWS_ACCESS_KEY_ID
+          valueFrom:
+            secretKeyRef:
+              name: aws-credentials
+              key: access-key-id
+        - name: AWS_SECRET_ACCESS_KEY
+          valueFrom:
+            secretKeyRef:
+              name: aws-credentials
+              key: secret-access-key
+        - name: AWS_DEFAULT_REGION
+          value: $(params.aws-region)
+      volumeMounts:
+        - name: python-script
+          mountPath: /workspace/python-script
+      script: |
+        pip install boto3
+        python /workspace/python-script/script.py

task/python-boto3-aws/0.1/samples/config-map.yaml

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+apiVersion: v1
+kind: ConfigMap
+metadata:
+  name: python-script-configmap
+data:
+  script.py: |
+    import boto3
+
+    # Your Python script that uses boto3 goes here
+    # For example:
+    s3 = boto3.client('s3')
+    response = s3.list_buckets()
+
+    print(response)

task/python-boto3-aws/0.1/samples/run.yaml

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+apiVersion: tekton.dev/v1beta1
+kind: TaskRun
+metadata:
+  name: python-boto3-run
+spec:
+  taskRef:
+    name: python-boto3
+  params:
+    - name: aws-region
+      value: us-west-2

task/python-boto3-aws/0.1/samples/secret.yaml

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+apiVersion: v1
+kind: Secret
+metadata:
+  name: aws-credentials
+type: Opaque
+stringData:
+  credentials: |-
+    [$(profile-name)]
+    aws_access_key_id     = $(aws_access_key_id)
+    aws_secret_access_key = $(aws_secret_access_key)
+
+    [default]
+    aws_access_key_id     = $(aws_access_key_id)
+    aws_secret_access_key = $(aws_secret_access_key)
+  config: |-
+    [profile $(profile-name)]
+    region = us-east-1
+    output = text
+    [default]
+    region = us-east-2