113 lines
4.9 KiB
Markdown
113 lines
4.9 KiB
Markdown
# Basic Price Prediction Node
|
|
|
|
This repository provides an example Allora network worker node, designed to offer price predictions. The primary objective is to demonstrate the use of a basic inference model running within a dedicated container, showcasing its integration with the Allora network infrastructure to contribute valuable inferences.
|
|
|
|
## Components
|
|
|
|
- **Worker**: The node that publishes inferences to the Allora chain.
|
|
- **Inference**: A container that conducts inferences, maintains the model state, and responds to internal inference requests via a Flask application. This node operates with a basic linear regression model for price predictions.
|
|
- **Updater**: A cron-like container designed to update the inference node's data by daily fetching the latest market information from the data provider, ensuring the model stays current with new market trends.
|
|
|
|
Check the `docker-compose.yml` file for the detailed setup of each component.
|
|
|
|
## Docker-Compose Setup
|
|
|
|
A complete working example is provided in the `docker-compose.yml` file.
|
|
|
|
### Steps to Setup
|
|
|
|
1. **Clone the Repository**
|
|
2. **Copy and Populate Model Configuration environment file**
|
|
|
|
Copy the example .env.example file and populate it with your variables:
|
|
```sh
|
|
cp .env.example .env
|
|
```
|
|
|
|
Here are the currently accepted configurations:
|
|
- TOKEN
|
|
Must be one in ['ETH','SOL','BTC','BNB','ARB'].
|
|
Note: if you are using `Binance` as the data provider, any token could be used.
|
|
If you are using Coingecko, you should add its `coin_id` in the [token_map here](https://github.com/allora-network/basic-coin-prediction-node/blob/main/updater.py#L107). Find [more info here](https://docs.coingecko.com/reference/simple-price) and the [list here](https://docs.google.com/spreadsheets/d/1wTTuxXt8n9q7C4NDXqQpI3wpKu1_5bGVmP9Xz0XGSyU/edit?usp=sharing).
|
|
- TRAINING_DAYS
|
|
Must be an `int` >= 1.
|
|
Represents how many days of historical data to use.
|
|
- TIMEFRAME
|
|
This should be in this form: `10min`, `1h`, `1d`, `1m`, etc.
|
|
Note: For Coingecko, Data granularity (candle's body) is automatic - [see here](https://docs.coingecko.com/reference/coins-id-ohlc). To avoid downsampling, it is recommanded to use with Coingecko:
|
|
- TIMEFRAME >= 30m if TRAINING_DAYS <= 2
|
|
- TIMEFRAME >= 4h if TRAINING_DAYS <= 30
|
|
- TIMEFRAME >= 4d if TRAINING_DAYS >= 31
|
|
- MODEL
|
|
Must be one in ['LinearRegression','SVR','KernelRidge','BayesianRidge'].
|
|
You can easily add support for any other models by [adding it here](https://github.com/allora-network/basic-coin-prediction-node/blob/main/model.py#L133).
|
|
- REGION
|
|
Must be `EU` or `US` - it is used for the Binance API.
|
|
- DATA_PROVIDER
|
|
Must be `Binance` or `Coingecko`. Feel free to add support for other data providers to personalize your model!
|
|
- CG_API_KEY
|
|
This is your `Coingecko` API key, if you've set `DATA_PROVIDER=coingecko`.
|
|
|
|
3. **Copy and Populate Worker Configuration**
|
|
|
|
Copy the example configuration file and populate it with your variables:
|
|
```sh
|
|
cp config.example.json config.json
|
|
```
|
|
|
|
4. **Initialize Worker**
|
|
|
|
Run the following commands from the project's root directory to initialize the worker:
|
|
```sh
|
|
chmod +x init.config
|
|
./init.config
|
|
```
|
|
These commands will:
|
|
- Automatically create Allora keys for your worker.
|
|
- Export the needed variables from the created account to be used by the worker node, bundle them with your provided `config.json`, and pass them to the node as environment variables.
|
|
|
|
5. **Faucet Your Worker Node**
|
|
|
|
You can find the offchain worker node's address in `./worker-data/env_file` under `ALLORA_OFFCHAIN_ACCOUNT_ADDRESS`. [Add faucet funds](https://docs.allora.network/devs/get-started/setup-wallet#add-faucet-funds) to your worker's wallet before starting it.
|
|
|
|
6. **Start the Services**
|
|
|
|
Run the following command to start the worker node, inference, and updater nodes:
|
|
```sh
|
|
docker compose up --build
|
|
```
|
|
To confirm that the worker successfully sends the inferences to the chain, look for the following log:
|
|
```
|
|
{"level":"debug","msg":"Send Worker Data to chain","txHash":<tx-hash>,"time":<timestamp>,"message":"Success"}
|
|
```
|
|
|
|
## Testing Inference Only
|
|
|
|
This setup allows you to develop your model without the need to bring up the offchain worker or the updater. To test the inference model only:
|
|
|
|
1. Run the following command to start the inference node:
|
|
```sh
|
|
docker compose up --build inference
|
|
```
|
|
Wait for the initial data load.
|
|
|
|
2. Send requests to the inference model. For example, request ETH price inferences:
|
|
|
|
```sh
|
|
curl http://127.0.0.1:8000/inference/ETH
|
|
```
|
|
Expected response:
|
|
```json
|
|
{"value":"2564.021586281073"}
|
|
```
|
|
|
|
3. Update the node's internal state (download pricing data, train, and update the model):
|
|
|
|
```sh
|
|
curl http://127.0.0.1:8000/update
|
|
```
|
|
Expected response:
|
|
```sh
|
|
0
|
|
```
|