DBT: Agriculture
File location: s3://trase-storage/brazil/flow_constraints/production/AGRICULTURE.csv
DBT model name: agriculture
Explore on Metabase: Full table; summary statistics
DBT details
- Lineage
-
Dbt path:
trase_production.main_brazil.agriculture -
Containing yaml link: trase/data_pipeline/models/brazil/flow_constraints/production/_schema.yml
-
Model file: trase/data_pipeline/models/brazil/flow_constraints/production/agriculture.py
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Calls script:
trase\data\brazil\flow_constraints\production\AGRICULTURE.py -
Tags:
mock_model,brazil,flow_constraints,production
Description
This model was auto-generated based off .yml 'lineage' files in S3. The DBT model just raises an error; the actual script that created the data lives elsewhere. The script is located at trase/data/brazil/flow_constraints/production/AGRICULTURE.py [permalink]. It was last run by Nanxu Su.
Details
| Column | Type | Description |
|---|---|---|
Models / Seeds
source.trase_duckdb.trase-storage-raw.soy_production_2019source.trase_duckdb.trase-storage-raw.soy_production_2020source.trase_duckdb.trase-storage-raw.agriculture
Sources
['trase-storage-raw', 'soy_production_2019']['trase-storage-raw', 'soy_production_2020']['trase-storage-raw', 'agriculture']
No called script or script source not found.
import pandas as pd
def model(dbt, cursor):
dbt.source("trase-storage-raw", "soy_production_2019")
dbt.source("trase-storage-raw", "soy_production_2020")
dbt.source("trase-storage-raw", "agriculture")
raise NotImplementedError()
return pd.DataFrame({"hello": ["world"]})