owi-metadatabase-shm 0.1.0

SHM extension for OWI Metadatabase SDK

OWI Metadatabase SHM Extension

SHM (Structural Health Monitoring) extension for the OWI Metadatabase SDK.

This package extends owi-metadatabase under the owi.metadatabase.* namespace with a typed SHM layer for sensors, signals, history, and calibration records.

The package is structured in the same style as the results SDK: low-level HTTP transport stays in ShmAPI, while typed models, serializers, a registry, and domain services sit above it. Upload workflows use the same typed surface and stable helper modules instead of the removed legacy package.

📚 Read the Documentation

What the SDK Covers

• Query and create SensorType, Sensor, and SensorCalibration records.
• Query and create Signal, DerivedSignal, SignalHistory, DerivedSignalHistory, SignalCalibration, and DerivedSignalCalibration records.
• Process raw configuration files into upload-ready signal mappings.
• Upload sensors and signals through reusable orchestrators that can run against either the live backend or test doubles.

Package Shape

The public surface is organized around a few clear layers:

• ShmAPI: low-level transport and endpoint operations.
• models, serializers, registry, services: typed entity layer for SHM records and repository-backed workflows.
• processing: signal configuration parsing and transformation.
• upload: sensor and signal upload orchestration.
• json_utils, signal_ids, upload_context, upload.payloads: stable helper modules used by processing and upload workflows.

Installation

uv add owi-metadatabase-shm

Or as a core-package extra:

uv add "owi-metadatabase[shm]"

For local development:

uv sync --all-packages --all-extras --all-groups

Quick Start

Query the SHM backend

from owi.metadatabase.shm import ShmAPI

api = ShmAPI(
    api_root="https://owimetadatabase.azurewebsites.net/api/v1",
    token="your-api-token",
)
print(api.ping())

Work with the typed services

from owi.metadatabase.shm import ApiShmRepository, SensorService, ShmAPI

api = ShmAPI(
    api_root="https://owimetadatabase.azurewebsites.net/api/v1",
    token="your-api-token",
)
repository = ApiShmRepository(api)
sensor_service = SensorService(repository=repository)

sensor_type = sensor_service.get_sensor_type(name="393B04")
print(sensor_type)

Upload sensors

from owi.metadatabase.shm import ShmAPI, ShmSensorUploader

api = ShmAPI(token="your-api-token")
uploader = ShmSensorUploader(shm_api=api)

# Upload sensor types, sensors, and calibrations
uploader.upload_sensor_types(sensor_types_data, permission_group_ids=[1])
uploader.upload_sensors("accelerometers", {"name": "393B04"}, sensors_data, [1])

Process and upload signals

from owi.metadatabase.shm import (
    DefaultSignalConfigProcessor,
    ShmAPI,
    ShmSignalUploader,
)

processor = DefaultSignalConfigProcessor(path_configs="data/signal_configs/")
processor.signals_process_data()

uploader = ShmSignalUploader.from_clients(shm_api=api, locations_client=..., geometry_client=...)
results = uploader.upload_from_processor(projectsite="MyFarm", processor=processor)

Notebook Suite

The repository ships with two executable notebooks under notebooks/:

• scripts/1.0.upload-sensors.ipynb
• scripts/2.0.upload-signals.ipynb

They are designed to run top-to-bottom with bundled Norther example data and exercise the public SDK surface without requiring a live backend.

Execute them with:

cd scripts
uv run jupyter nbconvert --to notebook --execute 1.0.upload-sensors.ipynb
uv run jupyter nbconvert --to notebook --execute 2.0.upload-signals.ipynb

Documentation

Full documentation is available at owi-lab.github.io/owi-metadatabase-shm-sdk.

Development

uv sync --all-packages --all-extras --all-groups
uv run invoke qa
uv run invoke test.all
uv run invoke docs.build
cd scripts
uv run jupyter nbconvert --to notebook --execute 1.0.upload-sensors.ipynb
uv run jupyter nbconvert --to notebook --execute 2.0.upload-signals.ipynb