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Mars Br Beef Supply Shed

s3://trase-storage/brazil/mars_pilot/out/beef/mars_br_beef_supply_shed.csv

Dbt path: trase_production.main_brazil.mars_br_beef_supply_shed

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/mars_br_beef_supply_shed.py

Calls script: trase\data\brazil\beef\mars_pilot\mars_slaughterhouses_supply_shed.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

mars_br_beef_supply_shed

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/beef/mars_pilot/mars_slaughterhouses_supply_shed.py [permalink]. It was last run by Tomas Carvalho.

Details

Column Type Description

Models / Seeds

  • source.trase_duckdb.trase-storage-raw.br_cost_matrix_osrm_avg_2015_2019
  • source.trase_duckdb.trase-storage-raw.br_bovine_slaughter_2015_2020
  • source.trase_duckdb.trase-storage-raw.gta_br_beef_supply_shed_cnpj8
  • source.trase_duckdb.trase-storage-raw.br_municipalities_2017
  • model.trase_duckdb.mars_br_beef

Sources

  • ['trase-storage-raw', 'br_cost_matrix_osrm_avg_2015_2019']
  • ['trase-storage-raw', 'br_bovine_slaughter_2015_2020']
  • ['trase-storage-raw', 'gta_br_beef_supply_shed_cnpj8']
  • ['trase-storage-raw', 'br_municipalities_2017']

No called script or script source not found.

import pandas as pd


def model(dbt, cursor):
    dbt.source("trase-storage-raw", "br_cost_matrix_osrm_avg_2015_2019")
    dbt.ref("mars_br_beef")
    dbt.source("trase-storage-raw", "br_bovine_slaughter_2015_2020")
    dbt.source("trase-storage-raw", "gta_br_beef_supply_shed_cnpj8")
    dbt.source("trase-storage-raw", "br_municipalities_2017")

    raise NotImplementedError()
    return pd.DataFrame({"hello": ["world"]})