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.gitignore vendored
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@ -9,3 +9,4 @@ inference-data
config.json config.json
env env
env_file

197
README.md
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# Basic ETH price prediction node # Basic ETH Price Prediction Node
Example Allora network worker node: a node to provide price predictions of ETH. This repository provides an example Allora network worker node, designed to offer price predictions for ETH. 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.
One of the primary objectives is to demonstrate the utilization of a basic inference model operating within a dedicated container. The purpose is to showcase its seamless integration with the Allora network infrastructure, enabling it to contribute with valuable inferences. ## Components
### 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 Binance, ensuring the model stays current with new market trends.
* **Head**: An Allora network head node. This is not required for running your node in the Allora network, but it will help for testing your node emulating a network. Check the `docker-compose.yml` file for the detailed setup of each component.
* **Worker**: The node that will respond to inference requests from the Allora network heads.
* **Inference**: A container that conducts inferences, maintains the model state, and responds to internal inference requests via a Flask application. The node operates with a basic linear regression model for price predictions.
* **Updater**: An example of a cron-like container designed to update the inference node's data by daily fetching the latest market information from Binance, ensuring the model is kept current with new market trends.
Check the `docker-compose.yml` file to see the separate components. ## Docker-Compose Setup
### Inference request flow A complete working example is provided in the `docker-compose.yml` file.
When a request is made to the head, it relays this request to several workers associated with this head. The request specifies a function to run which will execute a wasm code that will call the `main.py` file in the worker. The worker will check the argument (the coin to predict for), make a request to the `inference` node, and return this value to the `head`, which prepares the response from all of its nodes and sends it back to the requestor. ### Steps to Setup
# Docker Setup 1. **Clone the Repository**
2. **Copy and Populate Configuration**
- head and worker nodes are built upon `Dockerfile_b7s` file. This file is functional but simple, so you may want to change it to fit your needs, if you attempt to expand upon the current setup. Copy the example configuration file and populate it with your variables:
For further details, please check the base repo [allora-inference-base](https://github.com/allora-network/allora-inference-base). ```sh
- inference and updater nodes are built with `Dockerfile`. This works as an example of how to reuse your current model containers, just by setting up a Flask web application in front with minimal integration work with the Allora network nodes. cp config.example.json config.json
### Application path
By default, the application runtime lives under `/app`, as well as the Python code the worker provides (`/app/main.py`). The current user needs to have write permissions on `/app/runtime`.
### Data volume and permissions
It is recommended to mount the `/worker-data` and `/head-data` folders as volumes, to persist the node databases of peers, functions, etc. which are defined in the flags passed to the worker.
You can create two different `/data` volumes. It is suggested to use `worker-data` for the worker, `head-data` for the head:
`mkdir worker-data && mkdir heaed-data`.
Troubleshooting: A conflict may happen between the uid/gid of the user inside the container(1001) with the permissions of your own user.
To make the container user have permissions to write on the `/data` volume, you may need to set the UID/GID from the user running the container. You can get those in linux/osx via `id -u` and `id -g`.
The current `docker-compose.yml` file shows the `worker` service setting UID and GID. As well, the `Dockerfile` also sets UID/GID values.
# Docker-Compose Setup
A full working example is provided in the `docker-compose.yml` file.
1. **Generate keys**: Create a set of keys for your head and worker nodes. These keys will be used in the configuration of the head and worker nodes.
**Create head keys:**
```
docker run -it --entrypoint=bash -v ./head-data:/data alloranetwork/allora-inference-base:latest -c "mkdir -p /data/keys && (cd /data/keys && allora-keys)"
```
**Create worker keys**
```
docker run -it --entrypoint=bash -v ./worker-data:/data alloranetwork/allora-inference-base:latest -c "mkdir -p /data/keys && (cd /data/keys && allora-keys)"
```
Important note: If no keys are specified in the volumes, new keys will be automatically created inside `head-data/keys` and `worker-data/keys` when first running step 3.
2. **Connect the worker node to the head node**:
At this step, both worker and head nodes identities are generated inside `head-data/keys` and `worker-data/keys`.
To instruct the worker node to connect to the head node:
- run `cat head-data/keys/identity` to extract the head node's peer_id specified in the `head-data/keys/identity`
- use the printed peer_id to replace the `{HEAD-ID}` placeholder value specified inside the docker-compose.yml file when running the worker service: `--boot-nodes=/ip4/172.22.0.100/tcp/9010/p2p/{HEAD-ID}`
3. **Run setup**
Once all the above is set up, run `docker compose up --build`
This will bring up the head, the worker and the inference nodes (which will run an initial update). The `updater` node is a companion for updating the inference node state and it's meant to hit the /update endpoint on the inference service. It is expected to run periodically, being crucial for maintaining the accuracy of the inferences.
## Testing docker-compose setup
The head node has the only open port and responds to requests in port 6000.
Example request:
```
curl --location 'http://127.0.0.1:6000/api/v1/functions/execute' \
--header 'Content-Type: application/json' \
--data '{
"function_id": "bafybeigpiwl3o73zvvl6dxdqu7zqcub5mhg65jiky2xqb4rdhfmikswzqm",
"method": "allora-inference-function.wasm",
"parameters": null,
"topic": "1",
"config": {
"env_vars": [
{
"name": "BLS_REQUEST_PATH",
"value": "/api"
},
{
"name": "ALLORA_ARG_PARAMS",
"value": "ETH"
}
],
"number_of_nodes": -1,
"timeout": 5
}
}'
```
Response:
```
{
"code": "200",
"request_id": "14be2a82-432c-4bae-bc1a-20c7627e0ebc",
"results": [
{
"result": {
"stdout": "{\"infererValue\": \"2946.450220116334\"}\n\n",
"stderr": "",
"exit_code": 0
},
"peers": [
"12D3KooWGHYZAR5YBgJHvG8o8GxBJpV5ANLUfL1UReX5Lizg5iKf"
],
"frequency": 100
}
],
"cluster": {
"peers": [
"12D3KooWGHYZAR5YBgJHvG8o8GxBJpV5ANLUfL1UReX5Lizg5iKf"
]
}
}
```
## Testing inference only
This setup allows to develop your model without the need for bringing up the head and worker.
To only test the inference model, you can just:
- Run `docker compose up --build inference` and wait for the initial data load.
- Requests can now be sent, e.g. request ETH price inferences as in:
``` ```
$ curl http://127.0.0.1:8000/inference/ETH
3. **Initialize Worker**
Run the following commands from the project's root directory to initialize the worker:
```sh
chmod +x init.docker
./init.docker
```
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.
4. **Faucet Your Worker Node**
You can find the offchain worker node's address in `./worker-data/env_file` under `ALLORA_OFFCHAIN_ACCOUNT_ADDRESS`. Request some tokens from the faucet to register your worker.
5. **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 head and worker. 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"} {"value":"2564.021586281073"}
``` ```
or update the node's internal state (download pricing data, train and update the model):
3. Update the node's internal state (download pricing data, train, and update the model):
```sh
curl http://127.0.0.1:8000/update
``` ```
$ curl http://127.0.0.1:8000/update Expected response:
```sh
0 0
``` ```
## Connecting to the Allora network
To connect to the Allora network to provide inferences, both the head and the worker need to register against it. More details on [allora-inference-base](https://github.com/allora-network/allora-inference-base) repo.
The following optional flags are used in the `command:` section of the `docker-compose.yml` file to define the connectivity with the Allora network.
```
--allora-chain-key-name=index-provider # your local key name in your keyring
--allora-chain-restore-mnemonic='pet sock excess ...' # your node's Allora address mnemonic
--allora-node-rpc-address= # RPC address of a node in the chain
--allora-chain-topic-id= # The topic id from the chain that you want to provide predictions for
```
For the nodes to register with the chain, a funded address is needed first.
If these flags are not provided, the nodes will not register to the appchain and will not attempt to connect to the appchain.

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docker-compose.yml
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@ -33,16 +33,16 @@ services:
inference: inference:
condition: service_healthy condition: service_healthy
node: worker:
container_name: offchain_node container_name: worker
image: allora-offchain-node:latest image: alloranetwork/allora-offchain-node:latest
volumes: volumes:
- ./offchain-node-data:/data - ./worker-data:/data
depends_on: depends_on:
inference: inference:
condition: service_healthy condition: service_healthy
env_file: env_file:
- ./offchain-node-data/env_file - ./worker-data/env_file
networks: networks:
eth-model-local: eth-model-local:
@ -53,4 +53,4 @@ networks:
volumes: volumes:
inference-data: inference-data:
offchain-node-data: worker-data:

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init.docker Executable file
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#!/bin/bash
set -e
if [ ! -f config.json ]; then
echo "Error: config.json file not found, please provide one"
exit 1
fi
nodeName=$(jq -r '.wallet.addressKeyName' config.json)
if [ -z "$nodeName" ]; then
echo "No name was provided for the node, please provide value for wallet.addressKeyName in the config.json"
exit 1
fi
if [ ! -f ./worker-data/env_file ]; then
echo "ENV_LOADED=false" > ./worker-data/env_file
fi
ENV_LOADED=$(grep '^ENV_LOADED=' ./worker-data/env_file | cut -d '=' -f 2)
if [ "$ENV_LOADED" = "false" ]; then
json_content=$(cat ./config.json)
stringified_json=$(echo "$json_content" | jq -c .)
docker run -it --entrypoint=bash -v $(pwd)/worker-data:/data -e NAME="${nodeName}" -e ALLORA_OFFCHAIN_NODE_CONFIG_JSON="${stringified_json}" alloranetwork/allora-chain:latest -c "bash /data/scripts/init.sh"
echo "config.json saved to ./worker-data/env_file"
else
echo "config.json is already loaded, skipping the operation. You can set ENV_LOADED variable to false in ./worker-data/env_file to reload the config.json"
fi

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init.offchain-node
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@ -1,29 +0,0 @@
#!/bin/bash
set -e
if [ ! -f config.json ]; then
echo "Error: config.json file not found, please provide one"
exit 1
fi
nodeName=$(jq -r '.wallet.addressKeyName' config.json)
if [ -z "$nodeName" ]; then
echo "No name was provided for the node, please provide value for wallet.addressKeyName in the config.json"
exit 1
fi
if [ ! -f ./offchain-node-data/env_file ]; then
echo "ENV_LOADED=false" > ./offchain-node-data/env_file
fi
ENV_LOADED=$(grep '^ENV_LOADED=' ./offchain-node-data/env_file | cut -d '=' -f 2)
if [ "$ENV_LOADED" = "false" ]; then
json_content=$(cat ./config.json)
stringified_json=$(echo "$json_content" | jq -c .)
docker run -it --entrypoint=bash -v $(pwd)/offchain-node-data:/data -e NAME="${nodeName}" -e ALLORA_OFFCHAIN_NODE_CONFIG_JSON="${stringified_json}" alloranetwork/allora-chain:latest -c "bash /data/scripts/init.sh"
echo "config.json saved to ./offchain-node-data/env_file"
else
echo "config.json is already loaded, skipping the operation. You can set ENV_LOADED variable to false in ./offchain-node-data/env_file to reload the config.json"
fi

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offchain-node-data/env_file
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ALLORA_OFFCHAIN_NODE_CONFIG_JSON='{"wallet":{"addressKeyName":"basic-coin-prediction-offchain-node","addressRestoreMnemonic":"rich note fetch lava bless snake delay theme era anger ritual sea pluck neck hazard dish talk ranch trophy clap fancy human divide gun","addressAccountPassphrase":"secret","alloraHomeDir":"","gas":"1000000","gasAdjustment":1,"nodeRpc":"https://allora-rpc.devnet.behindthecurtain.xyz","maxRetries":1,"minDelay":1,"maxDelay":2,"submitTx":false},"worker":[{"topicId":1,"inferenceEntrypointName":"api-worker-reputer","loopSeconds":5,"parameters":{"InferenceEndpoint":"http://inference:8000/inference/{Token}","Token":"ETH"}}]}'
ALLORA_OFFCHAIN_ACCOUNT_ADDRESS=allo14wkkdeg93mdc0sd770z9p4mpjz7w9mysz328um
NAME=basic-coin-prediction-offchain-node
ENV_LOADED=true

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offchain-node-data/scripts/init.sh → worker-data/scripts/init.sh
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