Skip to main content
Glama
java_chunker.py1.67 kB
"""Java-specific tree-sitter based chunker.""" from typing import Any, Dict, Set from chunking.base_chunker import LanguageChunker class JavaChunker(LanguageChunker): """Java-specific chunker using tree-sitter.""" def __init__(self): super().__init__('java') def _get_splittable_node_types(self) -> Set[str]: """Java-specific splittable node types.""" return { 'method_declaration', 'constructor_declaration', 'class_declaration', 'interface_declaration', 'enum_declaration', 'annotation_type_declaration', } def extract_metadata(self, node: Any, source: bytes) -> Dict[str, Any]: """Extract Java-specific metadata.""" metadata = {'node_type': node.type} # Extract name for child in node.children: if child.type == 'identifier': metadata['name'] = self.get_node_text(child, source) break # Extract access modifiers modifiers = [] for child in node.children: if child.type == 'modifiers': for modifier in child.children: if modifier.type in ['public', 'private', 'protected', 'static', 'final', 'abstract', 'synchronized']: modifiers.append(self.get_node_text(modifier, source)) if modifiers: metadata['modifiers'] = modifiers # Check for generic parameters for child in node.children: if child.type == 'type_parameters': metadata['has_generics'] = True break return metadata

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/FarhanAliRaza/claude-context-local'

If you have feedback or need assistance with the MCP directory API, please join our Discord server