cognite-neat-cfihos-handler 0.2.1

CFIHOS standard processor for NEAT

CFIHOS Handler Plugin

Overview

The CFIHOS Handler is a flexible framework that supports multiple processor implementations for handling CFIHOS industrial standard data. This plugin integrates with Cognite NEAT to process and transform CFIHOS data models.

Installation

Install the package from PyPI using pip:

pip install cognite-neat-cfihos-handler

Architecture

The CFIHOS Handler plugin supports multiple processor implementations. Each processor_type maintains a specific CFIHOS data model in Cognite Data Fusion (CDF), allowing you to choose the processing approach that best fits your use case.

Available Processors

Sparse Properties Processor

The sparse_properties_processor is the currently available processor. It is based on two processing concepts:

1. Containers: Processes the complete CFIHOS model into denormalized container structures.
2. Views: Processes scoped subsets of the CFIHOS model into CFIHOS view structures based on configured scopes that fit different use cases.

Users select which concept to process by passing the model_type parameter:

• model_type="containers" - for container-based processing
• model_type="views" - for view-based processing (requires a scope parameter)

Configuration

The processor type is specified in the configuration file using the processor_type field:

processor_type: sparse  # or other available processor types

The framework will automatically load the corresponding processor based on this configuration.

Example configuration file (config.yaml):

processor_type: sparse
data_model_name: "Your CFIHOS Model"
data_model_external_id: "YOUR_CFIHOS_MODEL_1"
data_model_description: "Generated NEAT Domain Model based on CFIHOS"
container_data_model_space: "sp_your_cfihos_containers"
views_data_model_space: "sp_your_cfihos_views"
model_version: "1"
model_creator: "Your Name"
dms_identifire: "cfihos_name"  # or "cfihos_code"
model_processors_config:
  # ... processor-specific configuration

Usage Examples

Processing Containers

from cognite.neat import NeatSession, get_cognite_client

client = get_cognite_client(".env")
neat = NeatSession(client)

# Read and process the CFIHOS containers model
neat.plugins.data_model.read(
    "cfihos",
    model_type="containers",
    configurationDir="configuration/config.yaml"
)

# Deploy to CDF
neat.to.cdf.data_model()

Processing Views

from cognite.neat import NeatSession, get_cognite_client

client = get_cognite_client(".env")
neat_views = NeatSession(client)

# Read and process the CFIHOS views model
# NOTE: Always deploy containers before deploying views
neat_views.plugins.data_model.read(
    "cfihos",
    model_type="views",
    scope="Example Centrifugal Pump",  # Required for views
    configurationDir="configuration/config.yaml",
)

# Deploy to CDF
neat_views.to.cdf.data_model()

Requirements

• Python >= 3.10
• cognite-neat >= 0.123.33

License

Apache-2.0