How could you define a Web Endpoint that would receive a 1GB File do some processing and push into S3/Database

Defining a web endpoint that can receive a 1GB file, process it, and push it into an S3/Database involves several steps. Here's a general approach using a Python-based web framework like Flask and AWS services:

1. Set up your web server: First, you need to set up a web server that can handle large file uploads. In Flask, you can do this by defining a route that accepts POST requests. You also need to configure the server to allow file uploads of this size.

from flask import Flask, request
app = Flask(__name__)
app.config['MAX_CONTENT_LENGTH'] = 1 * 1024 * 1024 * 1024 # 1GB

2. Define the endpoint: Next, define the endpoint that will receive the file. This endpoint should accept POST requests, as these requests can contain a file in the body.

@app.route('/upload', methods=['POST'])
def upload_file():
    # File processing code goes here
    pass

3. Handle the file upload: Within this endpoint, you can access the uploaded file through Flask's request object. You should include error handling to ensure that a file was actually included in the request.

def upload_file():
    if 'file' not in request.files:
        return 'No file part in the request', 400
    file = request.files['file']

4. Process the file: Depending on your needs, you can process the file as needed. This could involve parsing the file, extracting data, transforming the data, etc.

5. Upload the file to S3: To upload the processed file to S3, you can use the boto3 library, which is the Amazon Web Services (AWS) SDK for Python. You'll need to configure boto3 with your AWS credentials and specify the bucket to upload to.

import boto3
s3 = boto3.client('s3')
s3.upload_fileobj(file, 'mybucket', 'myfile')

6. Store the file metadata in a database: After the file is uploaded to S3, you might want to store some metadata about the file in a database. This could include the filename, the time of upload, the user who uploaded it, etc. The specifics will depend on your database setup.

Remember, this is a simplified example. In a production environment, you'd want to include more error handling and possibly offload the processing and uploading to a separate worker to avoid blocking the web server.