action.yml

name: 'Vector Code Map Generator'
description: 'Creates vector embeddings from code repository for AI applications'
author: 'Your Organization'

inputs:
  mode:
    description: 'Scanning mode: full (entire repository) or diff (only changed files)'
    required: true
    default: 'full'
  
  db_type:
    description: 'Vector database type'
    required: true
    default: 'chromadb'
  
  chroma_host:
    description: 'ChromaDB host address'
    required: true
  
  chroma_port:
    description: 'ChromaDB port'
    required: true
    default: '8000'
  
  chroma_collection:
    description: 'ChromaDB collection name'
    required: true
  
  # Параметри авторизації для ChromaDB
  chroma_auth_enabled:
    description: 'Enable authentication for ChromaDB'
    required: false
    default: 'false'
  
  chroma_auth_type:
    description: 'Authentication type for ChromaDB (basic, token, etc.)'
    required: false
    default: 'basic'
  
  chroma_auth_credentials:
    description: 'Authentication credentials for ChromaDB (username:password for basic auth, or token)'
    required: false
  
  chroma_ssl_enabled:
    description: 'Enable SSL/TLS for ChromaDB connection'
    required: false
    default: 'false'
  
  openai_api_key:
    description: 'OpenAI API key for embedding generation'
    required: true
  
  openai_model:
    description: 'OpenAI embedding model to use'
    required: false
    default: 'text-embedding-3-small'

  max_tokens_per_batch:
    description: 'Max tokens per batch'
    required: false
    default: 250000
  
  file_extensions:
    description: 'Comma-separated list of file extensions to include'
    required: false
    default: '.js,.ts,.jsx,.tsx,.html,.css,.md,.txt'
  
  exclude_patterns:
    description: 'Patterns to exclude (glob format)'
    required: false
    default: 'node_modules/**,dist/**,.git/**'

runs:
  using: 'docker'
  image: 'Dockerfile'