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https://github.com/dpguthrie/dbtc
https://github.com/dpguthrie/dbtc
Last synced: about 1 month ago
JSON representation
- Host: GitHub
- URL: https://github.com/dpguthrie/dbtc
- Owner: dpguthrie
- Created: 2022-02-10T00:08:13.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-04-17T03:31:45.000Z (2 months ago)
- Last Synced: 2024-05-08T00:19:07.771Z (about 1 month ago)
- Language: Python
- Size: 3.22 MB
- Stars: 37
- Watchers: 2
- Forks: 11
- Open Issues: 8
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
Lists
- awesome-dbt - dbtc - Unaffiliated python interface to various dbt Cloud API endpoints. (Utilities)
- awesome-dbt - dbtc - Unaffiliated python interface to various dbt Cloud API endpoints. (Utilities)
- awesome-dbt - dbtc - Unaffiliated python interface to various dbt Cloud API endpoints. (Utilities)
README
An unaffiliated python interface for dbt Cloud APIs
---
**Documentation**: https://dbtc.dpguthrie.com
**Interactive Demo**: https://dpguthrie-dbtc-streamlit-home-yy7c0b.streamlit.app/
**Source Code**: https://github.com/dpguthrie/dbtc
**V2 Docs**: https://docs.getdbt.com/dbt-cloud/api-v2
**V3 Docs**: https://docs.getdbt.com/dbt-cloud/api-v3
---
## Overview
dbtc is an unaffiliated python interface to various dbt Cloud API endpoints.
This library acts as a convenient interface to two different APIs that dbt Cloud offers:
- Cloud API: This is a REST API that exposes endpoints that allow users to programatically create, read, update, and delete
resources within their dbt Cloud Account.
- Metadata API: This is a GraphQL API that exposes metadata generated from a job run within dbt Cloud.
## Requirements
Python 3.7+
- [Requests](https://requests.readthedocs.io/en/master/) - The elegant and simple HTTP library for Python, built for human beings.
- [sgqlc](https://github.com/profusion/sgqlc) - Simple GraphQL Client
- [Typer](https://github.com/tiangolo/typer) - Library for building CLI applications
## Installation
```bash
pip install dbtc
```
## Basic Usage
### Python
The interface to both APIs are located in the `dbtCloudClient` class.
The example below shows how you use the `cloud` property on an instance of the `dbtCloudClient` class to to access a method, `trigger_job_from_failure`, that allows you to restart a job from its last point of failure.
```python
from dbtc import dbtCloudClient
# Assumes that DBT_CLOUD_SERVICE_TOKEN env var is set
client = dbtCloudClient()
account_id = 1
job_id = 1
payload = {'cause': 'Restarting from failure'}
run = client.cloud.trigger_job_from_failure(
account_id,
job_id,
payload,
should_poll=False,
)
# This returns a dictionary containing two keys
run['data']
run['status']
```
Similarly, use the `metadata` property to retrieve information from the [Discovery API](https://docs.getdbt.com/docs/dbt-cloud-apis/discovery-api).
Here's how you could retrieve all of the metrics for your project.
```python
from dbtc import dbtCloudClient
client = dbtCloudClient()
query = '''
query ($environmentId: BigInt!, $first: Int!) {
environment(id: $environmentId) {
definition {
metrics(first: $first) {
edges {
node {
name
description
type
formula
filter
tags
parents {
name
resourceType
}
}
}
}
}
}
}
'''
variables = {'environmentId': 1, 'first': 500}
data = client.metadata.query(query, variables)
# Data will be in the edges key, which will be a list of nodes
nodes = data['data']['definition']['metrics']['edges']
for node in nodes:
# node is a dictionary
node_name = node['name']
...
```
If you're unfamiliar either with the Schema to query or even how to write a GraphQL query, I highly recommend going to the [dbt Cloud Discovery API playground](https://metadata.cloud.getdbt.com/beta/graphql). You'll be able to interactively explore the Schema while watching it write a GraphQL query for you!
### CLI
The CLI example below will map to the python cloud example above:
```bash
dbtc trigger-job-from-failure \
--account-id 1 \
--job-id 1 \
--payload '{"cause": "Restarting from failure"}' \
--no-should-poll
```
Similarly, for the metadata example above (assuming that you've put both the `query` and `variables` argument into variables):
```bash
dbtc query --query $query --variables $variables
```
If not setting your service token as an environment variable, do the following:
```bash
dbtc --token this_is_my_token query --query $query --variables $variables
```
## License
This project is licensed under the terms of the MIT license.