Feature: documentation and deployment script

Added documentation in the README and on all functions.

.gitignore

@@ -53,3 +53,9 @@ MANIFEST
 venv/
 .conda*/
 .python-version
+
+# Volume files
+*.squashfs
+
+# Key files
+*.key

Dockerfile

@@ -1,6 +1,7 @@
 FROM debian:bullseye
 
 RUN apt-get update && apt-get -y upgrade && apt-get install -y \
+     git \
      libsecp256k1-dev \
      python3-pip \
      python3-venv \
@@ -11,4 +12,4 @@ WORKDIR /usr/src/aleph_vrf
 COPY . .
 
 RUN mkdir /opt/packages
-RUN pip install -t /opt/packages .
+RUN pip install -t /opt/packages .

README.md

@@ -1,2 +1,119 @@
-# aleph-vrf
-Aleph VRF
+# Aleph.im Verifiable Random Functions
+
+## What is a Verifiable Random Function (VRF)?
+
+Verifiable Random Functions (VRF) are cryptographic primitives that generate random numbers that are both unpredictable
+and verifiable.
+This allows to create "trustless randomness", i.e. generate (pseudo-) random numbers in decentralized systems and
+provide the assurance that the number was indeed generated randomly.
+
+## Aleph.im implementation
+
+Aleph.im uses a combination of virtual machines (VMs) and aleph.im network messages to implement VRFs.
+
+The implementation revolves around the following components:
+
+* The VRF coordinator
+* N executors.
+
+The coordinator receives user requests to generate random numbers.
+Upon receiving a request, it selects a set of compute resource nodes (CRNs) to act as executors.
+Each of these executors generates a random number and computes its hash using SHA3–256.
+These hashes are then posted to aleph.im using a POST message, which also includes a unique request identifier.
+Once all the hashes are posted and confirmed, the coordinator requests the actual random numbers from each node.
+
+Finally, the coordinator performs a verification process to ensure that all random numbers correspond to their
+previously posted hashes. The random numbers are then combined using an XOR operation to generate the final random
+number. This final number, along with a summary of operations performed, is published on aleph.im for public
+verification.
+
+## How to use aleph.im VRFs
+
+The VRF executors and coordinator are meant to be deployed as VM functions on the aleph.im network.
+The coordinator can also be deployed in library mode (see below).
+
+We provide a script to deploy the VM functions.
+Just run the following command to package the application and upload it to the aleph.im network.
+
+```
+python3 deployment/deploy_vms.py
+```
+
+If the deployment succeeds, the script will display links to the VMs on the aleph.im network. Example:
+
+> Executor VM: https://api2.aleph.im/api/v0/messages/558b0eeea54d80d2504b0287d047e0b78458d08022d3600bcf8478700dd0aac2
+  Coordinator VM: https://api2.aleph.im/api/v0/messages/d9eef54544338685a9b4034cc16e285520eb3cf0c199eeade1d6b290365c95d0
+
+
+
+### Use the coordinator in library mode
+
+The coordinator can also be used directly from Python code.
+First, deploy the executors using the deployment script, without the coordinator VM:
+
+```
+python3 deployment/deploy_vms.py --no-coordinator
+```
+
+This will deploy an executor VM on the network and give you its ID.
+Example:
+
+> Executor VM: https://api2.aleph.im/api/v0/messages/558b0eeea54d80d2504b0287d047e0b78458d08022d3600bcf8478700dd0aac2
+
+Then, install the `aleph-vrf` module and call it from your code:
+
+```shell
+pip install aleph-vrf
+```
+
+```python
+from aleph_vrf.coordinator.vrf import generate_vrf
+from aleph_message.models import ItemHash
+
+
+async def main():
+    aleph_account = ...  # Specify your aleph.im account
+    vrf_response = await generate_vrf(
+        account=aleph_account,
+        vrf_function=ItemHash(
+            # The hash of the executor VM deployed above
+            "558b0eeea54d80d2504b0287d047e0b78458d08022d3600bcf8478700dd0aac2"
+        ),
+    )
+    random_number = int(vrf_response.random_number)
+```
+
+## Contribute
+
+### Set up the development environment
+
+You can set up a development environment by configuring a Python virtual environment and installing the project in
+development mode.
+
+```shell
+python -m virtualenv venv
+source venv/bin/activate
+pip install -e .[build,testing]
+```
+
+### Run tests
+
+This project uses mypy for static type analysis and pytest for unit/integration tests.
+
+```shell
+# Static analysis with mypy
+mypy src/ tests/
+# Run unit/integration tests
+pytest -v .
+```
+
+### Create a new release
+
+1. Deploy the VMs: `python3 deployment/deploy_vms.py`
+2. Update the executor VM hash in the settings (Settings.FUNCTION) and create a Pull Request
+3. Merge the Pull Request and create a new release on Github
+4. Build and upload the package on PyPI: `python3 -m build && twine upload dist/*`
+
+## Other resources
+
+* [Article on Medium](https://medium.com/aleph-im/aleph-im-verifiable-random-function-vrf-b03544a7e904)