quadratic-fuding

Abstract

The quadratic-funding smart contract is an innovative solution designed for the Algorand blockchain, aimed at revolutionizing the way public goods - NGOs and initiatives, in the case of GiveCup - are funded. By leveraging the quadratic funding mechanism, this contract democratically amplifies the impact of small donors, ensuring that funding decisions reflect the community's collective preferences.

Quadratic funding addresses the issue of resource allocation in public goods by valuing the number of supporters over the size of their wallets. It democratizes the funding process, making it more inclusive and reflective of the community's needs and preferences. This approach is particularly effective in decentralized ecosystems like blockchain, where community consensus is a cornerstone.

🔗 Features

🔄 Funding Round Management: Allows the contract owner to start and end funding rounds.
💰 Donation Tracking: Tracks donations made to various organizations during funding rounds.
🏢 Organization Management: Enables the owner to add organizations eligible to receive donations.
🔍 User Donation Insights: Users can view their total donations to specific organizations.

🚀 Usage

Contract Deployment

Deploy the smart contract on the Algorand network. The deployment will initialize the global state, including the funding round status and the list of organizations.

Adding Organizations

@app.external
def add_organization(organization: abi.Address) -> Expr:
    # Function implementation...

Parameters:
- organization: The address of the organization to be added.

Making Donations

@app.external
def donate(organization: abi.Address, amount: abi.Uint64) -> Expr:
    # Function implementation...

Parameters:
- organization: The address of the organization to receive the donation.
- amount: The amount to be donated.

Retrieving Donation Information

@app.external(read_only=True)
def get_user_donation_to_organization(user: abi.Address, organization: abi.Address, *, output: abi.Uint64) -> Expr:
    # Function implementation...

🏗 Setup

Initial setup

Clone this repository locally
Install pre-requisites:
- Make sure to have Docker installed and running on your machine.
- Install AlgoKit - Link: The minimum required version is 1.1. Ensure you can execute algokit --version and get 1.1 or later.
- Bootstrap your local environment; run algokit bootstrap all within this folder, which will:
  - Install Poetry - Link: The minimum required version is 1.2. Ensure you can execute poetry -V and get 1.2+
  - Run poetry install in the root directory, which will set up a .venv folder with a Python virtual environment and also install all Python dependencies
  - Copy .env.template to .env
- Run algokit localnet start to start a local Algorand network in Docker. If you are using VS Code launch configurations provided by the template, this will be done automatically for you.
Open the project and start debugging / developing via:
- VS Code
  1. Open the repository root in VS Code
  2. Install recommended extensions
  3. Hit F5 (or whatever you have debug mapped to) and it should start running with breakpoint debugging.
    
    Note If using Windows: Before running for the first time you will need to select the Python Interpreter.
    1. Open the command palette (Ctrl/Cmd + Shift + P)
    2. Search for Python: Select Interpreter
    3. Select ./.venv/Scripts/python.exe
- JetBrains IDEs (please note, this setup is primarily optimized for PyCharm Community Edition)
  1. Open the repository root in the IDE
  2. It should automatically detect it's a Poetry project and set up a Python interpreter and virtual environment.
  3. Hit Shift+F10|Ctrl+R (or whatever you have debug mapped to) and it should start running with breakpoint debugging. Please note, JetBrains IDEs on Windows have a known bug that in some cases may prevent executing shell scripts as pre-launch tasks, for workarounds refer to JetBrains forums.
- Other
  1. Open the repository root in your text editor of choice
  2. In a terminal run poetry shell
  3. Run python -m smart_contracts through your debugger of choice

Subsequently

If you update to the latest source code and there are new dependencies you will need to run algokit bootstrap all again
Follow step 3 above

For guidance on smart_contracts folder and adding new contracts to the project please see README on the respective folder.

🛠 Tools

This project makes use of Python to build Algorand smart contracts. The following tools are in use:

Algorand - Layer 1 Blockchain; Developer portal, Why Algorand?
AlgoKit - One-stop shop tool for developers building on the Algorand network; docs, intro tutorial
Beaker - Smart contract development framework for PyTeal; docs, examples
PyTEAL - Python language binding for Algorand smart contracts; docs
AlgoKit Utils - A set of core Algorand utilities that make it easier to build solutions on Algorand.
Poetry: Python packaging and dependency management.- Black: A Python code formatter.
pytest: Automated testing.
pip-audit: Tool for scanning Python environments for packages with known vulnerabilities. It has also been configured to have a productive dev experience out of the box in VS Code, see the .vscode folder.

givecup-algorand / quadratic-funding