prefect_dbt.cloud.credentials
Module containing credentials for interacting with dbt Cloud
Classes
DbtCloudCredentials
Bases: CredentialsBlock
Credentials block for credential use across dbt Cloud tasks and flows.
Attributes:
Name | Type | Description |
---|---|---|
api_key |
SecretStr
|
API key to authenticate with the dbt Cloud administrative API. Refer to the Authentication docs for retrieving the API key. |
account_id |
int
|
ID of dbt Cloud account with which to interact. |
domain |
Optional[str]
|
Domain at which the dbt Cloud API is hosted. |
Examples:
Load stored dbt Cloud credentials:
from prefect_dbt.cloud import DbtCloudCredentials
dbt_cloud_credentials = DbtCloudCredentials.load("BLOCK_NAME")
Use DbtCloudCredentials instance to trigger a job run:
from prefect_dbt.cloud import DbtCloudCredentials
credentials = DbtCloudCredentials(api_key="my_api_key", account_id=123456789)
async with dbt_cloud_credentials.get_administrative_client() as client:
client.trigger_job_run(job_id=1)
Load saved dbt Cloud credentials within a flow:
from prefect import flow
from prefect_dbt.cloud import DbtCloudCredentials
from prefect_dbt.cloud.jobs import trigger_dbt_cloud_job_run
@flow
def trigger_dbt_cloud_job_run_flow():
credentials = DbtCloudCredentials.load("my-dbt-credentials")
trigger_dbt_cloud_job_run(dbt_cloud_credentials=credentials, job_id=1)
trigger_dbt_cloud_job_run_flow()
Source code in prefect_dbt/cloud/credentials.py
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Functions
get_administrative_client
Returns a newly instantiated client for working with the dbt Cloud administrative API.
Returns:
Type | Description |
---|---|
DbtCloudAdministrativeClient
|
An authenticated dbt Cloud administrative API client. |
Source code in prefect_dbt/cloud/credentials.py
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get_client
Returns a newly instantiated client for working with the dbt Cloud API.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
client_type |
Literal['administrative', 'metadata']
|
Type of client to return. Accepts either 'administrative' or 'metadata'. |
required |
Returns:
Type | Description |
---|---|
Union[DbtCloudAdministrativeClient, DbtCloudMetadataClient]
|
The authenticated client of the requested type. |
Source code in prefect_dbt/cloud/credentials.py
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get_metadata_client
Returns a newly instantiated client for working with the dbt Cloud metadata API.
Example
Sending queries via the returned metadata client:
from prefect_dbt import DbtCloudCredentials
credentials_block = DbtCloudCredentials.load("test-account")
metadata_client = credentials_block.get_metadata_client()
query = """
{
metrics(jobId: 123) {
uniqueId
name
packageName
tags
label
runId
description
type
sql
timestamp
timeGrains
dimensions
meta
resourceType
filters {
field
operator
value
}
model {
name
}
}
}
"""
metadata_client.query(query)
# Result:
# {
# "data": {
# "metrics": [
# {
# "uniqueId": "metric.tpch.total_revenue",
# "name": "total_revenue",
# "packageName": "tpch",
# "tags": [],
# "label": "Total Revenue ($)",
# "runId": 108952046,
# "description": "",
# "type": "sum",
# "sql": "net_item_sales_amount",
# "timestamp": "order_date",
# "timeGrains": ["day", "week", "month"],
# "dimensions": ["status_code", "priority_code"],
# "meta": {},
# "resourceType": "metric",
# "filters": [],
# "model": { "name": "fct_orders" }
# }
# ]
# }
# }
Returns:
Type | Description |
---|---|
DbtCloudMetadataClient
|
An authenticated dbt Cloud metadata API client. |
Source code in prefect_dbt/cloud/credentials.py
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