Beef Asset Risk Trase 2020
s3://trase-storage/brazil/mars_pilot/out/beef/beef_asset_risk_trase_2020.csv
Dbt path: trase_production.main_brazil.beef_asset_risk_trase_2020
Explore on Metabase: Full table; summary statistics
Containing yaml file link: trase/data_pipeline/models/brazil/mars_pilot/out/beef/_schema.yml
Model file link: trase/data_pipeline/models/brazil/mars_pilot/out/beef/beef_asset_risk_trase_2020.py
Calls script: trase\tools\aws\metadata.py
Dbt test runs & lineage: Test results ยท Lineage
Full dbt_docs page: Open in dbt docs (includes lineage graph -at the bottom right-, tests, and downstream dependencies)
Tags: mock_model, beef, brazil, mars_pilot, out
beef_asset_risk_trase_2020
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/tools/aws/metadata.py [permalink]. It was last run by Osvaldo Pereira.
Details
| Column | Type | Description |
|---|---|---|
Models / Seeds
source.trase_duckdb.trase-storage-raw.mars_slaughterhouse_geolocationsource.trase_duckdb.trase-storage-raw.br_pasture_cattle_deforestation_2009_2020_q2_2022_geemodel.trase_duckdb.mars_br_beef_supply_shed
Sources
['trase-storage-raw', 'mars_slaughterhouse_geolocation']['trase-storage-raw', 'br_pasture_cattle_deforestation_2009_2020_q2_2022_gee']
No called script or script source not found.
import pandas as pd
def model(dbt, cursor):
dbt.source("trase-storage-raw", "mars_slaughterhouse_geolocation")
dbt.source(
"trase-storage-raw", "br_pasture_cattle_deforestation_2009_2020_q2_2022_gee"
)
dbt.ref("mars_br_beef_supply_shed")
raise NotImplementedError()
return pd.DataFrame({"hello": ["world"]})