import tree_sitter_skill from tree_sitter import Language, Parser from lsprotocol.types import ( Diagnostic, DiagnosticSeverity, Range, Position, DocumentSymbol, SymbolKind, ) from pygls.workspace import TextDocument class SkillParser: """ A Tree-sitter based parser for the Skill language. Provides diagnostics and document symbols by traversing the Concrete Syntax Tree (CST). """ def __init__(self): # Initialize the language and parser using tree-sitter-skill bindings self.language = tree_sitter_skill.language() self.parser = Parser() self.parser.set_language(self.language) def parse_document(self, text_document: TextDocument) -> tuple[list[Diagnostic], list[DocumentSymbol]]: """ Parses the document content and returns both diagnostics (errors) and a list of DocumentSymbols (outline). """ content = text_document.source if not content: return [], [] # Tree-sitter parsing tree = self.parser.parse(bytes(content, "utf8")) diagnostics: list[Diagnostic] = [] symbols: list[DocumentSymbol] = [] # Traverse the root node to collect errors and symbols self._traverse_tree(tree.root_node, content, diagnostics, symbols) return diagnostics, symbols def _traverse_tree( self, node, content: str, diagnostics: list[Diagnostic], symbols: list[DocumentSymbol] ) -> None: """Recursively traverses the AST to find errors and significant nodes.""" # 1. Handle Errors (Diagnostics) if node.type == "ERROR" or node.type == "MISSING": start_point = node.start_point end_point = node.end_point diagnostics.append( Diagnostic( range=Range( start=Position(start_point[0], start_point[1]), end=Position(end_point[0], end_point[1]) ), message=f"Syntax error: unexpected {node.type} token", severity=DiagnosticSeverity.Error, ) ) # 2. Handle Symbols (Document Symbols / Outline) # Note: In a real implementation, we would check for specific node types # like 'function_definition' or 'procedure'. # Since the exact grammar is in the private repo, we use a pattern: # If a node represents a definition, we extract its name. if self._is_symbol_node(node): symbol = self._create_document_symbol(node, content) if symbol: symbols.append(symbol) # 3. Continue traversal for child in node.children: self._traverse_tree(child, content, diagnostics, symbols) def _is_symbol_node(self, node) -> bool: """Determines if a node is significant enough to be an outline symbol.""" # This depends on the tree-sitter-skill grammar. # We check for typical 'definition' or 'declaration' keywords/types. # Placeholder logic: we look for nodes that aren't just primitive tokens. symbolic_types = {"function_definition", "procedure_definition", "namespace", "let_binding"} return node.type in symbolic_types or node.type.endswith("_def") def _create_document_symbol(self, node, content: str) -> DocumentSymbol | None: """Extracts a name and range for an AST node to create an LSP symbol.""" # Try to find an identifier child to use as the symbol name name = None for child in node.children: if child.type == "identifier" or child.type == "name": start_byte = child.start_byte end_byte = child.end_byte name = content[start_byte:end_byte] break if not name: # Fallback to the node type itself if no identifier is found name = node.type start_pt = node.start_point end_pt = node.end_point return DocumentSymbol( name=name, kind=SymbolKind.Function, # Defaulting to Function; would be more specific in real grammar range=Range( start=Position(start_pt[0], start_pt[1]), end=Position(end_pt[0], end_pt[1]) ), selection_range=Range( start=Position(start_pt[0], start_pt[1]), end=Position(start_pt[0], start_pt[1]) ) ) ```