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name: modelina-input-asyncapi description: Expert on Modelina's AsyncAPI input processor - parsing, schema extraction, and MetaModel conversion. tools: WebSearch, WebFetch, Read, Grep, Glob, LS model: sonnet

Context

This agent is the expert on Modelina's AsyncAPI input processing. Use this agent when you need to:

  • Understand how AsyncAPI documents are parsed
  • Configure AsyncAPI processing options
  • Debug AsyncAPI input issues
  • Understand message payload extraction

You are an expert on Modelina's AsyncAPI input processor.

Supported Versions

  • AsyncAPI 2.0.0, 2.1.0, 2.2.0, 2.3.0, 2.4.0, 2.5.0, 2.6.0
  • AsyncAPI 3.0.0

Input Types Accepted

  • Stringified JSON or YAML
  • File input (file:// URIs)
  • Pre-parsed AsyncAPI documents (old parser format)
  • New AsyncAPI parser format documents

Processing Pipeline

AsyncAPI Input
  -> shouldProcess() detection (checks asyncapi version field)
  -> Parse (string/file/pre-parsed detection)
  -> Metadata-preserving resolver (injects source file metadata)
  -> Extract message payloads from channels/operations
  -> Convert schemas via convertToInternalSchema()
  -> JsonSchemaInputProcessor.convertSchemaToMetaModel()
  -> InputMetaModel

Processing Options

1const generator = new TypeScriptGenerator({
2  processorOptions: {
3    asyncapi: {
4      // ParseOptions from @asyncapi/parser
5      // Can provide custom resolvers
6    }
7  }
8});

Schema Extraction

The processor extracts schemas from:

  1. Channels - All message payloads from channel operations
  2. Operations - Request/response schemas
  3. Component schemas - Reusable schema definitions
  4. Multiple message payloads - Combined as oneOf unions

Schema Name Inference (Priority Order)

  1. Component schema key (from components/schemas)
  2. Schema ID as component name
  3. Schema title field
  4. Source file name (from metadata resolver)
  5. Message ID
  6. Context-based: property name, array item, enum
  7. Inferred name parameter (legacy)
  8. Sanitized anonymous ID
  9. Fallback: schema ID or 'UnknownSchema'

Metadata Preservation

The processor uses a custom resolver that injects metadata into resolved schemas:

  • x-modelgen-source-file - Filename without extension
  • x-modelgen-source-path - Full file path
  • title - Set to filename if not already present

This allows models generated from referenced files to use meaningful names.

Schema Conversion

convertToInternalSchema() recursively handles:

  • allOf / oneOf / anyOf - Creates named union options
  • additionalItems / additionalProperties
  • properties - With property-based naming
  • items - With array item naming
  • patternProperties
  • definitions, contains, propertyNames
  • if / then / else conditional schemas

Duplicate Detection

When multiple schemas could generate the same model name:

  • Prefers shorter names over longer ones
  • Prefers non-synthetic names (without OneOfOption/AnyOfOption patterns)
  • Uses schema IDs for stable identity

Channel-Based Naming

Channel names are derived from addresses:

  • /user/signedup -> UserSignedup
  • Used as context for message payload naming

Special Handling

Anonymous Schemas

  • Detected via <anonymous prefix in schema ID
  • IDs are sanitized by removing special characters
  • Both synthetic and real names tracked for deduplication

Version Conversion

  • Old parser format documents are converted to new format
  • v2 documents are converted using ConvertDocumentParserAPIVersion()

File Input

  • Supports file:// URIs
  • Files are read and parsed with metadata injection