Model/applications/ara_first_run/local_handler/invoke_local_lambda.py
Khalim Conn-Kowlessar 75fbba60fc feat(ara): AraFirstRunTriggerBody + ara_first_run lambda skeleton (#1130)
Stage-2 entry point for the First Run use case. Adds the
`ara_first_run` Lambda package mirroring the `postcode_splitter`
template, its typed trigger contract, and a stub `FirstRunPipeline`.

- `AraFirstRunTriggerBody`: thin command of five fields — `task_id`,
  `sub_task_id` (UUID, lifecycle), `portfolio_id`, `property_ids`,
  `scenario_ids` (int business IDs). No `model_config` override, so
  Pydantic's default `extra="ignore"` lets the FastAPI backend add
  fields without breaking deployed lambdas. UPRNs / Scenario defs are
  deliberately off the event — read from source-of-truth tables.
- Thin `handler.py`: validate-and-delegate only, via a named
  `dispatch_first_run` seam (testable without the Lambda runtime).
  Subtask status (in-progress/complete/failed) + CloudWatch log URL
  come for free from the existing `@subtask_handler()` decorator.
- `FirstRunPipeline` (orchestration/) stub: `run(command)` receives the
  validated command. Declares a structural `FirstRunCommand` Protocol
  (the three business fields) that `AraFirstRunTriggerBody` satisfies,
  so orchestration needs no application-layer import — rhymes with the
  `EpcFetcher`/`SolarFetcher` Protocols on IngestionOrchestrator
  (ADR-0011). Full Ingestion→Baseline→Modelling composition lands in
  #1136.
- Dockerfile / requirements.txt / local_handler/ mirror postcode_splitter.

TDD: 7 new tests (trigger-body validation incl. forward-compat +
id-types, pipeline seam, handler delegation). pyright strict clean.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-05-30 20:38:15 +00:00

30 lines
725 B
Python
Executable file

#!/usr/bin/env python3
import json
import requests
HOST = "localhost"
PORT = "9002"
LAMBDA_URL = f"http://{HOST}:{PORT}/2015-03-31/functions/function/invocations"
payload = {
"Records": [
{
"body": json.dumps(
{
"task_id": "e295d89b-a7c5-4a9a-8b4e-b405fab1f298",
"sub_task_id": "f4a9944f-41f0-4a33-8669-5016ec574068",
"portfolio_id": 42,
"property_ids": [101, 102, 103],
"scenario_ids": [7, 8],
}
)
}
]
}
response = requests.post(LAMBDA_URL, json=payload)
print("Status code:", response.status_code)
print("Response:")
print(response.text)