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salesforce_pipeline.py
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salesforce_pipeline.py
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#!/usr/bin/env python3
"""Pipeline to load Salesforce data."""
import dlt
from salesforce import salesforce_source
from dlt_plus.dbt_generator.utils import table_reference_adapter
def load() -> None:
"""Execute a pipeline from Salesforce."""
pipeline = dlt.pipeline(
pipeline_name="salesforce", destination='bigquery', dataset_name="salesforce_data"
)
# Execute the pipeline
load_info = pipeline.run(salesforce_source())
# Print the load info
print(load_info)
"""
Adding table relationship adapters manually to define table relationships
"""
table_reference_adapter(
pipeline,
"opportunity",
references=[
{
"referenced_table": "contact",
"columns": ["owner_id"],
"referenced_columns": ["id"],
}
], )
table_reference_adapter(
pipeline,
"opportunity",
references=[
{
"referenced_table": "account",
"columns": ["account_id"],
"referenced_columns": ["id"],
}
], )
table_reference_adapter(
pipeline,
"task",
references=[
{
"referenced_table": "contact",
"columns": ["owner_id"],
"referenced_columns": ["id"],
}
], )
table_reference_adapter(
pipeline,
"task",
references=[
{
"referenced_table": "account",
"columns": ["account_id"],
"referenced_columns": ["id"],
}
], )
table_reference_adapter(
pipeline,
"task",
references=[
{
"referenced_table": "campaign",
"columns": ["what_id"],
"referenced_columns": ["id"],
}
], )
table_reference_adapter(
pipeline,
"task",
references=[
{
"referenced_table": "contact",
"columns": ["who_id"],
"referenced_columns": ["id"],
}
], )
if __name__ == "__main__":
load()