Skip to main content

Industrial Model Client Generator

Project description

🏭 Industrial Model Client Generator

A utility for generating client-specific configurations for industrial data models

📦 Overview

The industrial_model_client_generator package automates the generation of client configurations based on a set of input definitions.

🚀 Installation

pip install industrial-model-client-generator

⚙️ Configuration Guide

This project requires a generator-config.yaml file to be placed in the root directory where the script is executed. This file contains environment-specific settings such as Cognite credentials, data model configuration, and instance space mappings.

Creating generator-config.yaml

client_name: "TestingClientV2"
output_path: "output" # not required
client_mode: "async" # options: both, async, sync

cognite:
  project: "${CDF_PROJECT}"
  client_name: "${CDF_CLIENT_NAME}"
  base_url: "https://${CDF_CLUSTER}.cognitedata.com"
  credentials:
    client_credentials:
      token_url: "${CDF_TOKEN_URL}"
      client_id: "${CDF_CLIENT_ID}"
      client_secret: "${CDF_CLIENT_SECRET}"
      scopes: ["https://${CDF_CLUSTER}.cognitedata.com/.default"]

data_model:
  external_id: "${CDF_DATA_MODEL_EXTERNAL_ID}"
  space: "${CDF_DATA_MODEL_SPACE}"
  version: "${CDF_DATA_MODEL_VERSION}"

instance_space_configs: # not required
  - view_or_space_external_id: "GENERIC-COR-ALL-DMD"
    instance_spaces:
      - "REF-COR-ALL-DAT"
  - view_or_space_external_id: "Equipment"
    instance_spaces:
      - "SAP-"
  - view_or_space_external_id: "FunctionalLocation"
    instance_spaces:
      - "SAP-"

🔐 Setting the Variables

Option: .env File (Recommended)

Create a file named .env in the root of your project:

CDF_PROJECT=cognite-dev
CDF_CLIENT_NAME=testing
CDF_CLUSTER=az-eastus-1
CDF_TOKEN_URL=https://login.microsoftonline.com/xxxx/oauth2/v2.0/token
CDF_CLIENT_ID=xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx
CDF_CLIENT_SECRET=your-client-secret
CDF_DATA_MODEL_EXTERNAL_ID=CogniteCore
CDF_DATA_MODEL_SPACE=cdf_cdm
CDF_DATA_MODEL_VERSION=v1

🚀 Usage

from industrial_model_client_generator import InstanceSpaceConfig, generate

generate()

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

industrial_model_client_generator-0.1.3.tar.gz (43.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

File details

Details for the file industrial_model_client_generator-0.1.3.tar.gz.

File metadata

File hashes

Hashes for industrial_model_client_generator-0.1.3.tar.gz
Algorithm Hash digest
SHA256 27a1ab5135b7da5c21392bfadbb67f9e5d9b3e70862e72736a64327fec4456b9
MD5 f90527cb1702361b5051d66b82ea56dc
BLAKE2b-256 aa07d1ac7cbbce38659193a5efc2efebfcbb240bb55f9a50d9831a0ba94c7149

See more details on using hashes here.

File details

Details for the file industrial_model_client_generator-0.1.3-py3-none-any.whl.

File metadata

File hashes

Hashes for industrial_model_client_generator-0.1.3-py3-none-any.whl
Algorithm Hash digest
SHA256 3bab8e9beab268d2b8f34d04acddbf3d322abef8eb0d8a11023596316e306dfe
MD5 2cf980706047714e022de5b6d87dc367
BLAKE2b-256 30556fee2c1a06520452826712fc5d1585d2dccb39f4580da4fc90b09c6c944b

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page