Low-Level Solution (LLS) - Proof of Concept (POC) Story

This LLS for POC provides a detailed, workable definition of the chosen approach, including implementation details, execution steps, and validation. It ensures that the concept is fully explored and technically feasible for scaling.

A Low-Level Solution (LLS) for a POC should include:

• Full Implementation Details: The exact approach, logic, and modules used.
• Workable Definition of Approach: A technical breakdown of how the concept is implemented.
• Git References & Function Paths: Repository details, file locations, and commit history.
• Code Snippets & Screenshots: Example code implementations and UI/CLI execution results.
• Execution & Validation: Steps to test and validate the proof of concept.

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1. Workable Definition of the Selected Approach

The selected approach <Approach Name> is implemented using:

• Technology Stack: <e.g., Python, Node.js, Kubernetes>
• Architecture: <e.g., Microservices, Monolithic>
• Integration Points: <APIs, Databases, Message Queues>
• Execution Flow: <How the process is triggered and completed>

Step-by-Step Execution Flow

1. Initialize Environment: Set up dependencies and configure the system.
2. Implement Core Functionality: Write scripts, API calls, or database interactions.
3. Test Edge Cases: Validate handling of different input scenarios.
4. Analyze Results: Compare expected vs. actual output.
5. Assess Performance: Check execution time, memory usage, and scalability.
6. Document Findings: Capture logs, screenshots, and final observations.

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2. Git Reference & Function Path

Provide exact references to the implementation in the codebase:

• Repository Name: <GitHub/Bitbucket Repository Name>
• Branch Name: <Feature_POC_Branch>
• Commit ID: <Commit_Hash>
• File Path: <src/modules/POC_Implementation.py>
• Function Name: <execute_poc()>

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3. Code Implementation

Here’s an example of the implemented solution in Python:

import requests

# Function to fetch data from an external API
def fetch_data_from_api():
    url = "https://api.example.com/data"
    headers = {"Authorization": "Bearer <token>"}

    response = requests.get(url, headers=headers)

    if response.status_code == 200:
        return response.json()
    else:
        return {"error": "Failed to fetch data"}

# Execute the proof of concept function
if __name__ == "__main__":
    data = fetch_data_from_api()
    print("Fetched Data:", data)