Ec Lulc Clark Labs V3 Indicators
s3://trase-storage/ecuador/indicators/out/ec_lulc_clark_labs_v3_indicators.csv
Dbt path: trase_production.main.ec_lulc_clark_labs_v3_indicators
Explore on Metabase: Full table; summary statistics
Containing yaml file link: trase/data_pipeline/models/ecuador/indicators/out/_schema.yml
Model file link: trase/data_pipeline/models/ecuador/indicators/out/ec_lulc_clark_labs_v3_indicators.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, ecuador, indicators, out
ec_lulc_clark_labs_v3_indicators
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 was last run by Harry Biddle.
Details
| Column | Type | Description |
|---|---|---|
Models / Seeds
source.trase_duckdb.trase-storage-raw.clark_lab_datasets_v3source.trase_duckdb.trase-storage-raw.clark_lab_change_persistence_datasets
Sources
['trase-storage-raw', 'clark_lab_datasets_v3']['trase-storage-raw', 'clark_lab_change_persistence_datasets']
No called script or script source not found.
import pandas as pd
def model(dbt, cursor):
dbt.source("trase-storage-raw", "clark_lab_datasets_v3")
dbt.source("trase-storage-raw", "clark_lab_change_persistence_datasets")
raise NotImplementedError()
return pd.DataFrame({"hello": ["world"]})