DBT: Special Cases Routes

File location: s3://trase-storage/brazil/dictionaries/special_cases_routes.csv

DBT model name: special_cases_routes

Explore on Metabase: Full table; summary statistics

Explore dependencies/lineage: link

Relies on script: trase/models/brazil/soy_2023_2024_v27

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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. It is read by the brazil_soy_2023_2024_v27 supply chain (RoutesSpecialCases in trase/models/brazil/soy_2023_2024_v27/preparation.py), a hand-curated dictionary of routes with special decision-tree rules, alongside its sibling special_cases.

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Details

ColumnsData TestsReferenced ByDepends OnModel codeDBT details

Column	Type	Description

No data tests defined 🧐

Models

• seipcs_brazil_soy_partial_branches_v27

No dependencies recorded.

No called script or script source not found.

import pandas as pd


def model(dbt, cursor):
    raise NotImplementedError()
    return pd.DataFrame({"hello": ["world"]})

• Dbt path: memory.main.special_cases_routes

• Containing yaml link: trase/data_pipeline/models/brazil/dictionaries/_schema.yml

• Model file: trase/data_pipeline/models/brazil/dictionaries/special_cases_routes.py

• Calls script: trase/models/brazil/soy_2023_2024_v27

• Original dbt_docs

• Tags: mock_model, brazil, dictionaries