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A simple framework for interacting with Dune Analytics' unsupported API.

Project description

Dune Analytics API

Python 3.9 Code style: black License Build

A simple framework for interacting with Dune Analytics' unsupported API. The primary class (DuneAPI) of this repo is adapted from https://github.com/itzmestar/duneanalytics at commit bdccd5ba543a8f3679e2c81e18cee846af47bc52

Import as Project Dependency

pip install duneapi

Then you should be able to write python scripts similar to the following:

Example Usage

Fill out your Dune credentials in the .env file. The Dune user and password are straight-forward login credentials to Dune Analytics. The DUNE_QUERY_ID is an integer id found in the URL of a query when saved in the Dune interface. This should be created beforehand, but the same query id can be used everywhere throughout the program (as long as it is owned by the account corresponding to the user credentials provided).

You do not have to provide the query id as an environment variable, but doing so, will allow you to use the same id for all fetching needs. For dashboard management, you will need to have a unique id for each query.

Execute Query and Fetch Results from Dune

from duneapi.api import DuneAPI
from duneapi.query import DuneQuery
from duneapi.types import Network, QueryParameter, DuneRecord
from duneapi.util import open_query


def fetch_records(dune: DuneAPI) -> list[DuneRecord]:
    sample_query = DuneQuery.from_environment(
        raw_sql=open_query("PATH_TO_SOME_SQL_FILE"),
        name="Sample Query",
        network=Network.MAINNET,
        parameters=[
            QueryParameter.number_type("IntParam", 10),
            QueryParameter.text_type("TextParam", "aba"),
        ],
    )
    return dune.fetch(sample_query)


if __name__ == "__main__":
    dune_connection = DuneAPI.new_from_environment()
    records = fetch_records(dune_connection)
    print("First result:", records[0])

Dashboard Management

It will help to get aquainted with the Dashboard configuration file found in ./example/dashboard/my_dashboard.json. This essentially requires filepath and query id to existing dune queries. Generally it is expected that you will use the family of queries contained in an existing dashboard, but there is no actual validation. Technically one could put all queries here and refresh them with this tool.

from duneapi.dashboard import DuneDashboard

dashboard = DuneDashboard("./example/dashboard/my_dashboard.json")
dashboard.update()
print("Updated", dashboard)

To fetch some sample ethereum block data, run the sample script as:

python -m example.sample_fetch

This will result in the following console logs:

got 10 records from last query
First record Record(
    string='0x255309e019abaf74bf2d58d4020547c89f875842abae1c874fb0d5ae8eac9859', 
    integer=14362177, 
    decimal=0.14785533, 
    time='2022-03-10T23:50:16+00:00'
)

To fetch your own data follow the code outline in sample_fetch.py

Contributing and Local Development

Clone this Repo and install as follows.

python3 -m venv venv
source ./env/bin/activate
pip install -r requirements.txt
cp .env.sample .env       <----- Copy your Dune credentials here!

Deployment

  1. Bump the version number in setup.py
  2. Build the duneapi package python -m build
  3. Upload to pypi twine upload dist/*

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