Mesh Indexer ACC

The Mesh Indexer ACC node allows you to index Autodesk Construction Cloud (ACC) documents into an ElasticSearch-based Mesh Index. This task supports advanced indexing options including vector embeddings, full text extraction, thumbnails, and OCR data.

Overview

This node connects to Autodesk ACC, fetches document metadata and content based on user-defined filters, and sends the processed information to the configured Mesh Index using ElasticSearch and OpenAI services (if enabled).

It is typically used in workflows where up-to-date document data from ACC needs to be searchable, enriched, and made accessible through semantic search capabilities.

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Configuration

Required Fields

Field	Description
Select Index	Name of the target index in Mesh.
Index Action	Action to perform on the index. Common values: Add, Update, Delete.
ServiceAccount-OpenAI	Service Account ID for OpenAI (used for vector embeddings).
ServiceAccount-Elastic Search	Service Account ID for ElasticSearch (used to connect to the index).
ThirdParty-Autodesk	Autodesk account used to fetch data from ACC.

Optional Fields

Field	Description
Include Text Vectorization	Enables OpenAI-based vector embedding of text fields.
Include Full Text Content	Enables indexing of full document text, if available.
Include Thumbnail	Adds document thumbnail to index.
Include OCR	Enables OCR for scanned documents or images.
Document ID	(Optional) Single document ID to process.
Start Date	Only include documents modified after this date.
White List Folders	List of folder paths to restrict indexing scope.
Lifecycle States	Filter documents based on lifecycle state.
Record Title	Custom title formatting for indexed records.
Sub Title	Custom subtitle formatting for indexed records.
Account Id	ACC subdomain identifier.
Project Name	Name of the Autodesk project (for filtering).

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Behavior

Once executed, the node:

1. Validates required inputs.
2. Connects to Autodesk, ElasticSearch, and OpenAI services using the provided credentials.
3. Applies filtering and formatting settings.
4. Executes indexing using the ItemIndexer class.
5. Streams progress logs and finalizes the task with a success or failure message.

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Output

• taskSuccess: Boolean indicating execution result.
• taskMessage: Summary message.
• statusReturn: Completed or Fail.

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Notes

• Ensure that your service accounts (OpenAI, Elastic, Autodesk) are correctly configured and active.
• OpenAI service is only used if "Include Text Vectorization" is enabled.
• The indexing may be resource-intensive depending on document volume and settings.

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