SDK for authoring Improvado custom pipeline workflows on Temporal
Project description
improvado-pipeline-sdk
SDK for authoring custom data pipeline workflows on Temporal.
Provides type definitions, helper functions, and constants for building ETL/ELT pipelines that run on Improvado's Temporal infrastructure.
Install
pip install improvado-pipeline-sdk
Usage
Workflow code
import dataclasses
from temporalio import workflow
with workflow.unsafe.imports_passed_through():
from pipeline_sdk.workflow import (
les_extract,
DataRef,
DateRangeRequest,
DateRangeType,
prepare_credentials,
cleanup_credentials,
CUSTOM_ACTIVITY_QUEUE,
)
@dataclasses.dataclass(frozen=True)
class MyPipelineParams:
connector_id: int
@workflow.defn(sandboxed=False, name="MyPipeline")
class MyPipelineWorkflow:
@workflow.run
async def run(self, params: MyPipelineParams) -> dict:
result = await les_extract(
connector_id=params.connector_id,
data_source="facebook",
report_type="ad_insights",
date_range=DateRangeRequest(
date_range_type=DateRangeType.MANUAL,
params={"date_from": "2026-01-01", "date_to": "2026-03-31"},
),
)
return {"data_ref": result.data_ref.uri}
Activity code
from temporalio import activity
from pipeline_sdk.activity import read_pipeline_secret, get_current_tenant
@activity.defn
async def my_activity(creds) -> dict:
tenant = get_current_tenant()
secret = await read_pipeline_secret(creds)
# secret.s3, secret.storage, secret.connections
return {"tenant": tenant.agency_uuid}
Type checking
pyright my_workflow.py
ruff check my_workflow.py
ruff format my_workflow.py
Both pyright and ruff are included as dependencies.
Package structure
| Module | Purpose |
|---|---|
pipeline_sdk.workflow |
Types and helpers for @workflow.defn code (sandbox-safe) |
pipeline_sdk.activity |
Types and helpers for @activity.defn code (I/O) |
pipeline_sdk.schedule |
@scheduled decorator for cron workflows |
pipeline_sdk.types |
All shared dataclasses and enums |
pipeline_sdk.credentials |
Credential types and Vault helpers |
Project details
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