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1 change: 1 addition & 0 deletions .env_example
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UPSHOT_API_TOKEN=
60 changes: 60 additions & 0 deletions .github/workflows/build_push_ecr.yml
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# This workflow will build and push a new container image to Amazon ECR,
# and then will deploy a new task definition to Amazon ECS which will be run by Fargate when a release is created
name: Build and Push docker image to ECR

on:
push:
tags:
- 'v*'
- dev-latest

concurrency:
group: ${{ github.ref }}
cancel-in-progress: true
jobs:
build-push:
name: Build and Push docker image
runs-on: ubuntu-latest

steps:
- name: Checkout
uses: actions/checkout@v3

- name: Configure AWS credentials
uses: aws-actions/configure-aws-credentials@v2
with:
aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}
aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
aws-region: us-east-1

- name: Login to Amazon ECR
id: login-ecr
uses: aws-actions/amazon-ecr-login@v1

- name: Build, tag, and push image to Amazon ECR
id: build-push-image
env:
ECR_REGISTRY: ${{ steps.login-ecr.outputs.registry }}
ECR_REPOSITORY: ${{github.event.repository.name}} # Naming convention: ECR registry name == GITHUB repo name
MAIN_BRANCH: main # Images from this branch will be tagged as "latest"
run: |
#! Due to we trigger on push.tags GITHUB_REF - is the tag name
GIT_TAG="$(echo $GITHUB_REF| sed 's#refs/tags/##')"
IMAGE_TAG="${GITHUB_SHA:0:8}"
EXTRA_IMAGE_TAGS=$GIT_TAG
#! Add latest tag only if on named releases tag='v*'
if [[ ${GIT_TAG} == v* ]]; then
EXTRA_IMAGE_TAGS="${EXTRA_IMAGE_TAGS};latest"
fi
# Build a docker container and push it to ECR so that it can be deployed to ECS.
docker build --pull -t $ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG .
docker push $ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG
# Build and PUSH additional tags
for tag in $(echo $EXTRA_IMAGE_TAGS| tr ";" "\n"); do
docker tag $ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG $ECR_REGISTRY/$ECR_REPOSITORY:$tag
docker push $ECR_REGISTRY/$ECR_REPOSITORY:$tag
done
4 changes: 4 additions & 0 deletions .gitignore
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__pycache__
.venv
.env
keys
18 changes: 18 additions & 0 deletions CONTRIBUTING.md
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Any contribution that you make to this repository will
be under the Apache 2 License, as dictated by that
[license](http://www.apache.org/licenses/LICENSE-2.0.html):

~~~
5. Submission of Contributions. Unless You explicitly state otherwise,
any Contribution intentionally submitted for inclusion in the Work
by You to the Licensor shall be under the terms and conditions of
this License, without any additional terms or conditions.
Notwithstanding the above, nothing herein shall supersede or modify
the terms of any separate license agreement you may have executed
with Licensor regarding such Contributions.
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Contributors must sign-off each commit by adding a `Signed-off-by: ...`
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the code they are contributing to the project according to the
[Developer Certificate of Origin (DCO)](https://developercertificate.org/).
8 changes: 8 additions & 0 deletions Dockerfile
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FROM --platform=linux/amd64 696230526504.dkr.ecr.us-east-1.amazonaws.com/allora-inference-base:latest

COPY requirements.txt /app/
RUN pip3 install --requirement /app/requirements.txt

# Copy the main python file so it is accessible to the Allora extension.
COPY main.py /app/

201 changes: 201 additions & 0 deletions LICENSE
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80 changes: 80 additions & 0 deletions README.md
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# Index

This is an application packaged for being run on the Allora Network.
It is an example of a setup for running an Allora Network node for providing index prices.

# Components

* **worker**: The node that will respond to requests from the Allora Network heads.
* **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.

When a request is made to the head, it relays this request to a number of 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.
This code will get the index price from Upshot API, and returns this value to the `head`, which prepares the response from all of its nodes and sends it back to the requestor.


# docker-compose
A full working example is provided in `docker-compose.yml`.

## Structure
There is a docker-compose.yml provided that sets up one head node and one worker node.

**NOTE:** Bear in mind, for simplicity, current docker-compose file runs containers from root user. If you going to use docker-compose.yml for production environemnts, consider commenting `user: 0:0` - to run it from non-root user, and you will need to provision writable volume to store databases.

## Dependencies
- Have an available image of the `allora-inference-base` , and reference it as a base on the `FROM` of the `Dockerfile`.
- Create a set of keys in the `keys` directory for your head and worker, and use them in the head and worker configuration(volume mapping already provided in `docker-compose.yml` file). If no keys are specified in the volumes, new keys are created. However, the worker will need to specify the `peer_id` of the head for defining it as a `BOOT_NODES`. You can bring head up first, get the key from the container, then use it in the `BOOT_NODES`. More info in the [b7s-docker-compose](https://github.com/blocklessnetwork/b7s-docker-compose/tree/main) repo.
- Provide a valid `UPSHOT_API_TOKEN` env var.

## Run

Once this is set up, run `docker compose up head1 worker1`


Once both nodes are up, a function can be tested by hitting:

```
curl --location 'http://localhost:6000/api/v1/functions/execute' --header 'Accept: application/json, text/plain, */*' --header 'Content-Type: application/json;charset=UTF-8' --data '{
"function_id": "bafybeigpiwl3o73zvvl6dxdqu7zqcub5mhg65jiky2xqb4rdhfmikswzqm",
"method": "allora-inference-function.wasm",
"topic": "<TOPIC_ID>",
"config": {
"env_vars": [
{
"name": "BLS_REQUEST_PATH",
"value": "/api"
},
{
"name": "ALLORA_ARG_PARAMS",
"value": "yuga"
}
],
"number_of_nodes": 1
}
}'
```

## Connecting to the Allora network

In order to connect to an Allora network to provide inferences, both the head and the worker need to register against it.
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
```
In order 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.


## GitHub actions

### build_push_ecr - Build and push docker images to ECR registry

* Name of the ECR registry is the same as the GitHub repo name.
* The GH action will build a new docker image from PRs and pushes to the main branch.
* **All images** tagged with `$GIT_SHA` and `dev-latest` tags.
* If image built from main branch, then it will also have tagged with `latest` tag.

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