Network calls fail, endpoints encounter momentary DNS blips, and external SaaS APIs throttle traffic without warning. Writing raw HTTP request logic inside your data transformation steps is asking for unhandled 3 AM pager alerts.
wpipe-steps delivers modular, battle-tested step primitives including HttpRequestStep and WebhookTriggerStep with clean retry policies and declarative payload mapping.
This is Day 02 of the wpipe-steps Open-Source Engineering Series.
Production Implementation: Resilient API Ingestion
from wpipe import Pipeline
from wpipe_steps.connectivity import HttpRequestStep
pipeline = Pipeline(pipeline_name="api_ingestion")
# Declarative step configuration with native response key mapping
pipeline.set_steps([
HttpRequestStep.as_step(
name="fetch_orders",
url="https://api.example.com/v1/orders",
method="POST",
headers={"Authorization": "Bearer SECURE_TOKEN"},
json_data={"status": "pending", "limit": 100},
response_key="orders_response"
)
])
# Execute pipeline with contextual logging
data = pipeline.run({})
print(f"Fetched orders payload: {data['orders_response']['status_code']}")
Why Engineering Teams Choose wpipe-steps
- 196 Cataloged Steps: Ready-to-use primitives covering Redis, ClickHouse, PostgreSQL, Kafka, WAF, S3, Docker, and local HuggingFace AI models.
- Sub-100ms Startup Time: Lazy-loaded dependencies ensure your worker processes start instantly without importing unused heavy libraries.
-
Strict Typing & Factory Interface: Standardized
.as_step()interface with full validation of required step parameters.
Installation & Repositories
pip install wpipe-steps
Author: William Steve Rodríguez Villamizar (Wisrovi)
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