cloudspark 1.0.14

CloudSpark is a powerful Python package designed to simplify the management of AWS S3 and Lambda services. Whether you're working on the frontend or backend, CloudSpark provides an intuitive interface to generate presigned URLs and handle file uploads seamlessly.

CloudSpark

cloudspark is a Python package that provides a convenient way to manage AWS S3 buckets and generate presigned URLs using boto3. It supports bucket creation, CORS management, policy setting, and presigned URL generation.

Features

• S3 Management: Effortlessly manage your S3 buckets, objects, and file uploads with built-in methods.

• Presigned URL Generation: Generate secure presigned URLs for your S3 objects, enabling users to upload files directly from the frontend without exposing your credentials.

• Seamless Integration: Designed to work smoothly with both frontend and backend applications, making file uploads and cloud function management more accessible.

This repository contains several components. For more details on each component, refer to the respective README files.

• git repository

• Documentation

• Js-Implementation

Installation

You can install cloudspark via pip. Make sure you have boto3 installed as well.

pip install cloudspark 

Usage

Importing the Library

from cloudspark import S3Connection

Initializing the Connection

Create an instance of S3Connection by providing your AWS credentials and region name

s3_conn = S3Connection(access_key='YOUR_ACCESS_KEY',

                       secret_access_key='YOUR_SECRET_ACCESS_KEY',

                       region_name='YOUR_REGION_NAME')

Connecting to a Bucket

Establish a connection to an S3 bucket:

s3_bucketclient = s3_conn.connect(bucket_name='your-bucket-name')

returns an S3 client instance.

Returns the current S3 client instance

s3_bucketclient = s3_conn.get_instance()

returns an S3 client instance.

Creating a bucket

Creates an S3 bucket with the provided name.

s3_client = s3_conn.connect()

s3_bucketclient = s3_conn.create_s3bucket(bucket_name='new-bucket-name')

Set Bucket CORS

Set the CORS configuration for the connected bucket

s3_conn.set_bucket_cors()



# CORSRules: A list of dictionaries containing CORS rules.

# If None, a default CORS rule allowing all origins and methods is applied.

cors_rules = [

    {

        'AllowedHeaders': ['*'],

        'AllowedMethods': ['GET', 'POST'],

        'AllowedOrigins': ['*'],

        'ExposeHeaders': [],

        'MaxAgeSeconds': 3000

    }

]



s3_conn.set_bucket_cors(CORSRules=cors_rules)

Get Bucket CORS

Retrieve the CORS configuration for the connected bucket

cors_config = s3_conn.get_bucket_cors()

Delete Bucket CORS

Delete the CORS configuration from the connected bucket

s3_conn.delete_bucket_cors()

Set Bucket Policy

Set or update the bucket policy for the connected bucket

s3_conn.set_bucket_policy()



# A JSON string or dictionary representing the bucket policy. 

# If None, a default public read policy is applied.



policy = {

    "Version": "2012-10-17",

    "Statement": [

        {

            "Sid": "PublicReadGetObject",

            "Effect": "Allow",

            "Principal": "*",

            "Action": "s3:GetObject",

            "Resource": f"arn:aws:s3:::{bucket_name}/*"

        }

    ]

}

s3_conn.set_bucket_policy(bucket_policy=policy)

Policy Fields Explaintion

1. Version

Key: "Version"

Value: "2012-10-17"

Explanation:

This specifies the version of the policy language. "2012-10-17" is the latest version and is recommended for use.

2. Id

Key: "Id"

Value: "Policy1719828879302"

Explanation:

The Id is an optional identifier for the policy. It helps in identifying the policy, especially when dealing with multiple policies. The value here is just a unique identifier that you can use to track or refer to this policy.

3. Statement

Key: "Statement"

Value: [ ... ]

Explanation:

This is an array of statements that define what actions are allowed or denied. Each statement contains specific instructions for who can perform what actions on which resources.

Inside the Statement Array:

Sid



    Key: "Sid"

        Value: "Stmt1719828876812"

        Explanation:

        The Sid (Statement ID) is an optional identifier for the specific statement. It helps in identifying and managing individual statements within the policy.

        Effect



    Key: "Effect"

        Value: "Allow"

        Explanation:

        The Effect determines whether the statement allows or denies access. Here, "Allow" means that the actions specified in the Action field are permitted. If it were "Deny", those actions would be explicitly forbidden.

        Principal



    Key: "Principal"

        Value: "*"

        Explanation:

        The Principal specifies the entity that is allowed or denied the actions. "*" means any entity (i.e., any user, role, or service) is allowed to perform the specified actions. You could also restrict this to a specific AWS account or IAM user.

        Action



    Key: "Action"

        Value: "s3:GetObject"

        Explanation:

        The Action specifies what actions are allowed or denied. Here, "s3:GetObject" means that the entities specified in the Principal field are allowed to retrieve objects from the S3 bucket. "s3:GetObject" is the action used for downloading files from S3.

        Resource



    Key: "Resource"

        Value: "arn:aws:s3:::{{bucket_name}}/*"

        Explanation:

        The Resource specifies the particular AWS resource that the policy applies to. Here, the resource is specified as "arn:aws:s3:::{{bucket_name}}/*", which means all objects (files) within the {{bucket_name}} S3 bucket.

        The arn:aws:s3:::{{bucket_name}}/* is an Amazon Resource Name (ARN) that uniquely identifies the S3 bucket and all its objects. The /* at the end means that the policy applies to all objects within the {{bucket_name}} bucket.

Retrieves Bucket Policy

Retrieves the bucket policy for the connected S3 bucket

policy = s3_conn.get_bucket_policy()

Delete Bucket Policy

Delete the bucket policy from the connected bucket

s3_conn.delete_bucket_policy()

List User Policies

List inline policies for an IAM user

policies = s3_conn.list_user_policies(UserName='user-name')

Block or Allow Public Access

Block or allow public access to the bucket

s3_conn.public_access(block=True)  # Block public access

s3_conn.public_access(block=False) # Allow public access

Generate Presigned Create URL

Generate a presigned URL for creating an object

responce = s3_conn.presigned_create_url(

    object_name='object_name',

    params={'key': 'value'}, # Or params= None

    fields={'field': 'value'}, # Or fields= None

    conditions=[{'condition': 'value'}], # Or conditions= None

    expiration=3600

)

object_name : The name of the object to be created in the S3 bucket.

params: (Optional) Additional request parameters to include in the presigned URL.

fields : (Optional) Pre-filled form fields to include in the presigned URL.

conditions: (Optional) Conditions to include in the presigned URL.

expiration : (Optional) Time in seconds for which the presigned URL should remain valid. Default is 3600 seconds (1 hour).

Output

{

  "url": "https://{{bucket_name}}.s3.amazonaws.com/",

  "fields": {

    "key": "{{object_name.extention}}",

    "x-amz-algorithm": "AWS4-HMAC-SHA256",

    "x-amz-credential": "{{access_key}}/20240814/us-east-1/s3/aws4_request",

    "x-amz-date": "20240814T092932Z",

    "x-amz-security-token": "{{sts_token}}",

    "policy": "{{policy}}",

    "x-amz-signature": "{{signature}}"

  }

}

Generate Presigned Delete URL

Generate a presigned URL for Delete an object

responce = s3_conn.presigned_delete_url(object_name='object_name', expiration=3600)

Output

"https://{{bucket_name}}.s3.amazonaws.com/hdfwf.png?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential={{access_key}}%2F20240812%2Fap-south-1%2Fs3%2Faws4_request&X-Amz-Date=20240812T151744Z&X-Amz-Expires=4600&X-Amz-SignedHeaders=host&X-Amz-Signature=a680ee638e9cc27f2ec21cae36ad807cffb2fc74e1e91fa55709f25f324d1e22"

Uploads a file to the connected S3 bucket.

responce = s3_conn.upload_object(file=file, key_name="object_name")



# example:

with open('file_name',"rb") as file_obj:

    s3_conn.upload_object(file=file_obj, key_name="object_name")

file: Bytes of the file to upload

key_name: S3 object name (e.g., 'folder/filename.txt').

Retrieves an object from the connected S3 bucket.

return: The object metadata

key_object = s3_conn.get_object(key_name="object_name")

Deletes an object from the connected S3 bucket

key_object = s3_conn.delete_object(key_name="object_name")

Lists objects in the connected S3 bucket.

key_object = s3_conn.get_objects()

key_object = s3_conn.get_objects(only_objects=True)

only_objects: If True, returns a list of object metadata (excluding keys).

key_object = s3_conn.get_objects(only_keys=True)

only_keys: If True, returns a list of object keys.

Retrieve metadata of an object

The head_object method retrieves metadata for an object stored in an S3 bucket. This includes details such as the content type, last modified date, and content length, but does not return the object's actual data.

key_object = s3_conn.head_object(key_name="object_name")

policy_decode Function

The policy_decode function is designed to decode a Base64-encoded AWS S3 policy string and return it as a formatted JSON string. This is useful for inspecting and validating S3 presigned URL policies.

Decodes a Base64-encoded policy string and returns it as a formatted JSON string

policy_dict = s3_conn.policy_decode(policy_encoded="policy_encoded string")