Trase Cost Distance Producer To Lh
s3://trase-storage/brazil/mars_pilot/in/soy/trase_cost_distance_producer_to_lh.csv
Dbt path: trase_production.main_brazil.trase_cost_distance_producer_to_lh
Explore on Metabase: Full table; summary statistics
Containing yaml file link: trase/data_pipeline/models/brazil/mars_pilot/in/soy/_schema.yml
Model file link: trase/data_pipeline/models/brazil/mars_pilot/in/soy/trase_cost_distance_producer_to_lh.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, brazil, in, mars_pilot, soy
trase_cost_distance_producer_to_lh
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.osm_br_soy_distance_matrix_step2source.trase_duckdb.trase-storage-raw.osm_br_soy_distance_matrix_option_2source.trase_duckdb.trase-storage-raw.br_cost_matrix_osrm_2019model.trase_duckdb.soy_supply_shed_trase_2020_mars_providersmodel.trase_duckdb.osm_br_soy_distance_matrixmodel.trase_duckdb.osm_br_soy_distance_matrix_step1
Sources
['trase-storage-raw', 'osm_br_soy_distance_matrix_step2']['trase-storage-raw', 'osm_br_soy_distance_matrix_option_2']['trase-storage-raw', 'br_cost_matrix_osrm_2019']
No called script or script source not found.
import pandas as pd
def model(dbt, cursor):
dbt.ref("soy_supply_shed_trase_2020_mars_providers")
dbt.source("trase-storage-raw", "osm_br_soy_distance_matrix_step2")
dbt.ref("osm_br_soy_distance_matrix")
dbt.source("trase-storage-raw", "osm_br_soy_distance_matrix_option_2")
dbt.source("trase-storage-raw", "br_cost_matrix_osrm_2019")
dbt.ref("osm_br_soy_distance_matrix_step1")
raise NotImplementedError()
return pd.DataFrame({"hello": ["world"]})