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libre-common's Introduction

Libre Common Library

Libre Manufacturing Data Platform common functions . The Common Library provides the following functions for various Libre Microservices:

  • Equipment Cache
  • Equipment Finder
  • LibreDataStoreGraphQL
  • Managed Equipment
  • PLC Connector
  • TagChangeEventHandlers
  • ValueChangeFilter
  • Event Definition Evaluator
  • Event Definition Distributor
  • Calendar Service

The Common Library provides the following connectors

  • Edge Connector MQTT
  • Libre Connector MQTT
  • Libre Historian Connector InfluxDB
  • PLC Connector MQTT
  • PLC Connector OPCUA

What is the Libre Manufacturing Data Platform?

Libre is an Open-source, Data Science ready continuous improvement and Manufacturing Execution Platform.

The Libre platform allows you to:

  • connect to your Manufacturing data sources
  • model your equipment, and the data that your equipment provides
  • store machine data in a specialised time-series database with full context from your equipment model
  • Define rules for capturing event data from your equipment, and store that event data in the time-series database with context
  • Define Materials and recipes that describe the way products are manufactured in your plant
  • Access all of your data through an open GraphQL API including the equipment and material models along with data from the time-series database

Libre Platform Architecture:

The Libre Platform is an Event-Driven Micro-services architecture written in Go.

The Frontend UI application communicates primarily through the GraphQL gateway, and receives event notifications directly from the event bus.

Apollo Federation is used to compose a single GraphQL schema from multiple graphql services

Non time-series data is stored in Dgraph which is a GraphQL native database platform.

Libre Component Architecture

Developing

Prereqisites:

  • golang >= 1.16.x

Contributing

For any issue, there are fundamentally three ways an individual can contribute:

  • By opening the issue for discussion: For instance, if you believe that you have uncovered a bug in libre-common, creating a new issue in the GitHub issue tracker is the way to report it.
  • By helping to triage the issue: This can be done either by providing supporting details (a test case that demonstrates a bug), or providing suggestions on how to address the issue.
  • By helping to resolve the issue: Typically, this is done either in the form of demonstrating that the issue reported is not a problem after all, or more often, by opening a Pull Request that changes some bit of something in the simulator in a concrete and reviewable manner.

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