DBT: Special Cases
File location: s3://trase-storage/brazil/dictionaries/special_cases.csv
DBT model name: special_cases
Explore on Metabase: Full table; summary statistics
DBT details
- Lineage
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Dbt path:
trase_production.main_brazil.special_cases -
Containing yaml link: trase/data_pipeline/models/brazil/dictionaries/_schema.yml
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Model file: trase/data_pipeline/models/brazil/dictionaries/special_cases.py
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Calls script:
trase\data\brazil\logistics\sicasq\in\sicasq_not_in_soy_cnpj_special_cases.py -
Tags:
mock_model,brazil,dictionaries
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/logistics/sicasq/in/sicasq_not_in_soy_cnpj_special_cases.py [permalink]. It was last run by Tomas Carvalho.
Details
| Column | Type | Description |
|---|---|---|
Models / Seeds
source.trase_duckdb.trase-storage-raw.soy_cnpj_2016source.trase_duckdb.trase-storage-raw.soy_cnpj_2008source.trase_duckdb.trase-storage-raw.cd_combined_soy_2016source.trase_duckdb.trase-storage-raw.soy_cnpj_2015source.trase_duckdb.trase-storage-raw.soy_cnpj_2006source.trase_duckdb.trase-storage-raw.soy_cnpj_2005source.trase_duckdb.trase-storage-raw.soy_cnpj_2014source.trase_duckdb.trase-storage-raw.soy_cnpj_2010source.trase_duckdb.trase-storage-raw.soy_cnpj_2017source.trase_duckdb.trase-storage-raw.auxiliary_cnpj_original_cnpj_2019source.trase_duckdb.trase-storage-raw.soy_cnpj_2004source.trase_duckdb.trase-storage-raw.soy_cnpj_2013source.trase_duckdb.trase-storage-raw.sicasq_2017source.trase_duckdb.trase-storage-raw.cd_combined_soy_2015source.trase_duckdb.trase-storage-raw.soy_cnpj_2012source.trase_duckdb.trase-storage-raw.cd_combined_soy_2017source.trase_duckdb.trase-storage-raw.cnpj_2019_cnae_secondary_finalsource.trase_duckdb.trase-storage-raw.soy_cnpj_2009source.trase_duckdb.trase-storage-raw.soy_cnpj_2007source.trase_duckdb.trase-storage-raw.soy_cnpj_2011source.trase_duckdb.trase-storage-raw.soy_cnpj_2018
Sources
['trase-storage-raw', 'soy_cnpj_2016']['trase-storage-raw', 'soy_cnpj_2008']['trase-storage-raw', 'cd_combined_soy_2016']['trase-storage-raw', 'soy_cnpj_2015']['trase-storage-raw', 'soy_cnpj_2006']['trase-storage-raw', 'soy_cnpj_2005']['trase-storage-raw', 'soy_cnpj_2014']['trase-storage-raw', 'soy_cnpj_2010']['trase-storage-raw', 'soy_cnpj_2017']['trase-storage-raw', 'auxiliary_cnpj_original_cnpj_2019']['trase-storage-raw', 'soy_cnpj_2004']['trase-storage-raw', 'soy_cnpj_2013']['trase-storage-raw', 'sicasq_2017']['trase-storage-raw', 'cd_combined_soy_2015']['trase-storage-raw', 'soy_cnpj_2012']['trase-storage-raw', 'cd_combined_soy_2017']['trase-storage-raw', 'cnpj_2019_cnae_secondary_final']['trase-storage-raw', 'soy_cnpj_2009']['trase-storage-raw', 'soy_cnpj_2007']['trase-storage-raw', 'soy_cnpj_2011']['trase-storage-raw', 'soy_cnpj_2018']
No called script or script source not found.
import pandas as pd
def model(dbt, cursor):
dbt.source("trase-storage-raw", "soy_cnpj_2016")
dbt.source("trase-storage-raw", "soy_cnpj_2008")
dbt.source("trase-storage-raw", "cd_combined_soy_2016")
dbt.source("trase-storage-raw", "soy_cnpj_2015")
dbt.source("trase-storage-raw", "soy_cnpj_2006")
dbt.source("trase-storage-raw", "soy_cnpj_2005")
dbt.source("trase-storage-raw", "soy_cnpj_2014")
dbt.source("trase-storage-raw", "soy_cnpj_2010")
dbt.source("trase-storage-raw", "soy_cnpj_2017")
dbt.source("trase-storage-raw", "auxiliary_cnpj_original_cnpj_2019")
dbt.source("trase-storage-raw", "soy_cnpj_2004")
dbt.source("trase-storage-raw", "soy_cnpj_2013")
dbt.source("trase-storage-raw", "sicasq_2017")
dbt.source("trase-storage-raw", "cd_combined_soy_2015")
dbt.source("trase-storage-raw", "soy_cnpj_2012")
dbt.source("trase-storage-raw", "cd_combined_soy_2017")
dbt.source("trase-storage-raw", "cnpj_2019_cnae_secondary_final")
dbt.source("trase-storage-raw", "soy_cnpj_2009")
dbt.source("trase-storage-raw", "soy_cnpj_2007")
dbt.source("trase-storage-raw", "soy_cnpj_2011")
dbt.source("trase-storage-raw", "soy_cnpj_2018")
raise NotImplementedError()
return pd.DataFrame({"hello": ["world"]})